Science topics: Recognition
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Hi,
After digesting the piB/V5-TOPO plasmid (4200 bp) with StuI, which has a single StuI recognition site, how many bands should appear on the gel for the linearized plasmid?
Thanks
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Thanks Bahar Ali
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# 146
Dear Zohair Qadem , Yasir Abduljaleel , Mustapha Amiri , Abdelghani Qadem , Mohamed Lasri , Oussama Obda , Henrique Pizzo , Ali Salem
I read your paper:
Identification of Optimal Groundwater Storage Sites in a Semi-Arid Region: A GIS-Based Analytic Hierarchy Process (AHP) Approach
My comments:
1- Very interesting project and clearly described.
As in all my comments I do not enter into the project itself, as in this highly technical undertaking, simply because it is not my field. What I do, as in all other articles, is to address the MCDM applied, whatever it might be.
2- In page 3 you say “The methodology used for evaluation integrates sophisticated methods such as the Analytic Hierarchy Process (AHP)”
If there is something that AHP does not posses is sophistication. It is a very simple method, easy to understand and that does not require research or/and rationality, because its descriptive nature is related to human perception, which is a typical descriptive feature and irrational.
The latter is not a derogatory expression, but as Google describes it “An irrational decision is a decision that goes against or counter to logic. Summing-up: Rational decisions are carefully considered and negative outcomes are weighed. Nonrational decisions are based on intuitive judgment
In my opinion we are constantly applying it in our daily life, but it does not mean that it can be used to evaluate alternatives in most projects.
The other process is called ‘normative’, that uses norms and established conditions.
The normative approach sets out the ideal standards for rationaldecision-making, while the descriptive approach delves into the nuances of how people make decisions based on their cognitive processes and psychological biases”. This is not my definition
3- page 3 “This study provides valuable insights for strategic planning of groundwater management
I do not agree with the underlined sentence, because strategic planning is far for being intuitive. I believe that drilling a well is based in many rational studies not on what the experts say
4- In page 5 you should explain what ‘delineation’ means; same for remote sensing and GIS
5- In page 8. It is a pleasure to read so detailed and documented observations about the three different areas. Well done.
6- Page 14 “Assessing consistency and comparisons for bias”
This is for me one important point, but why there should be consistency?
If we consider Rainfall (a), Lithography (b), Slope (d), and we determine for instance that a> b, and b>d, then, a >d? Mathematically, yes, it is correct, but is it in the field? Maybe it is, or maybe it is not; that is for the experts to decide, but is it a must? This is my point. What if it is not? I find here something very usual, especially inAHP, that assumes that theoretical conclusions apply to real life
At the end of the 19th Century, scientistssaid that theoretically, nothing heavier than air could fly. Applying aerodynamics theory, unknown then, it was demonstrated that it was not true. The problem in your example is that AHP is not mathematically prepared to address this type of problems. Its elemental theory cannot be applied to complex scenarios. There is no axiom or theorem that supports the AHP need for consistency or transitivity.
7- In Page 16 Table 4, where the weights values come from? Weights are normally between 0 and 1
Where is the interaction? For that, you would need a network not a lineal hierarchy as in AHP
8- In page 17 “These values reflect the estimated impact of one factor compared to another within a specific context
I am afraid that you are mistaken, since impact means that you modify something, not the case here.
9- In page 18 “Sensitivity analysis is the study that measures the contribution or impact of variables in the unperturbed output result from models applied and permits recognition of layers, which are more critical for the analysis”
Sorry, this is not the definition of SA, or as I presume you made an involuntary error. SA measures the strength of solution or potential impact, due to variations in the importance of diverse criteria, and you are right in your lest sentence.
10- On page 22 “Interaction of diverse geographical, geological, and climatic factors”
Very true, but AHP does not do it. Interaction means that you have to analyze all criteria simultaneously not single pairs. As a trivial example, suppose that three barmen compete to prepare three different drinks using oranges, lemonS, cherries and pears, but in different quantities. In this case what AHP does is to compare juices of orange with lemons, orange with cherries, and orange with pears.
Each barman must use only these four fruits, but mixing all together and this giving a final taste of the mix, whatever it might be,not a couple of them separately.
The same in your example, you must to blend the different special layers, not determining pairs and then adding them up. Remember that the result not always is equal to the sum of the parts.
Curiously you agree with this in the underline paragraph when speaking about interaction.
These are my comments
I hope they can help you
Nolberto Munier
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Dear Henrique Pizzo
I am very glad to receive your opinion and that I could be of help, since to better server authors is the only purpose of my comments
Regards
Nolberto
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Hi!
I'm interested in understanding the differences between BCBA (Board Certified Behavior Analyst) and QABA (Qualified Applied Behavior Analyst) certifications, specifically in the context of India.
Could anyone please clarify the following:
1. Eligibility criteria and educational requirements for BCBA and QABA certifications in India?
2. Scope of practice and job roles associated with BCBA and QABA certifications?
3. Differences in certification requirements, training, and examination processes?
4. Recognition and acceptance of BCBA and QABA certifications by Indian organizations, schools, and healthcare institutions?
Additionally, could you please guide me on:
1. How to find training centers in India that offer BCBA and QABA certification programs?
2. What are the key factors to consider when selecting a training center for BCBA or QABA certification in India?
Thank you.
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The BCBA (Board Certified Behavior Analyst) and QABA (Qualified Applied Behavior Analyst) certifications are both credentials in the field of applied behavior analysis (ABA), but they differ in terms of the organizations that offer them, requirements, and scope of practice.
BCBA: This certification is offered by the Behavior Analyst Certification Board (BACB). It’s the more widely recognized and established certification for behavior analysts.
QABA: This certification is offered by the Qualifying Behavior Analyst Board (QABA). It’s a relatively newer certification compared to BCBA and tends to be more specific to certain settings, such as working with individuals with autism.
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The mainstream physicists should close up their shops now and wind up an atheistic paradigm as everything has to be theistic.
I request that my friends and those whom this reaches share this information with everyone worldwide.
A glimpse of my research
You should bear in mind that I am doing everything for the betterment of humanity because I am a Philanthropist.
The link to my publications is here
I want to bring to your notice the contents of the verse 41-53 of the Quran
"Soon We will show you the Our signs in space and what is in their selves and you will realize this (the Quran) is true; is not this enough your Sustainer knows everything"
These publications mentioned above also include the two papers which substantiate the existence of two unknown substances namely aether and 'energy' which are referred in the Quran in verse (41-53) as Allah's signs which have been scientifically and philosophically proven thereby the divinity of the Quran and Allah as knower and creator of everything in the universe is also demonstrated. This has to be the final scientific and philosophical evidence of the existence of Allah and divinity of Quran.
The two publications referred to above are "Theory of Origin and Phenomenon of Life" and "Michelson -Morley Experiment; A Misconceived and Misinterpreted Experiment"
In the second paper, the existence of aether has been confirmed which physicists have been looking for since 1864 and an experiment was done in 1887 called the Michelson -Morley Experiment which was interpreted to conclude the absence of aether. I proved the existence of aether by the same experiment by showing what and why mistakes were made to conclude the absence of aether. I showed that the experiment confirms the existence of aether without any doubt whatsoever. In so far as the second unknown substance is concerned it is a metaphysical substance that has been philosophically shown to be the only alternative to explain the phenomenon of life like consciousness, instincts, growth, desire to survive, self-repair, etc. but most importantly it contains the biological laws which act as source of livingness in living beings including humans due to which cells in the living beings are functional. This small philosophy paper has tremendous implication, besides changing the biological sciences, in medical sciences which undoubtedly will revolutionise the medical field.
These papers are available on General Science Journal, Natural Philosophers Database, SlideShare, ResearchGate, vixra, and Indian Journal of Science and Technology at www.indjst.org
Besides I will like to inform you that the paper concerning the part of the verse (41-53) as to what is within the humans in their selves is also to be refined to the extent that for all species it is not two initial cells but it is just one cell which was created for all species which divided into two one for male and one for female. Besides there are not only forces of nature as known in physical sciences but there are biological laws which are in the living species which are contained in the 'energy' due to which living species are living. These refinements will be done in the upcoming revised edition of my book titled "Natural World Order and The Islamic Thought" which is in the final stages.
This is the shorter version of my research work which includes proving Einstein as scientific fraud and his famous formula E=mc^2 as absolutely baseless in half a page of my research paper titled " Experimental and Theoretical Evidence of Fallacy of Space-time Concept and Actual State of Existence of Physical Universe". My papers published in peer-reviewed journals are available in General Science Journal, Natural Philosophers Database, ResearchGate, SlideShare, viXra, Academia.edu in my profile and Indian Journal of Science and Technology and also Elixir International publishing journal.
Hereunder are the exchange of ideas with the Managing Editor of a journal which would reveal the very brief synopsis of my research work.
Dear Watson Roy,
Greetings and happy New Year though late. Firstly I will like to inform you that I am not a Ph.D as I have done only two masters degrees in physics and forestry though my research work could easily fetch me at least a D. Sc. and a few Ph.D's. I am feeling proud to inform you that my research has the potential of changing the course of physical and biological sciences including philosophy, the mother of all subjects. A small philosophy paper titled 'Theory of Origin and Phenomenon of Life' has the potential of changing the biological sciences and philosophy. The only alternative which can explain the phenomenon of life especially cell function, consciousness, instincts, gowth, self repair and above all biological laws which were unknown till to date could now be unraveled the way I ravelled the contents of soul in my outline of book titled "Natural World Order and The Islamic Thought". There has to be a team of microbiologists and philosophers who can investigate the biological laws in animals and human as the 'energy' in both humans and animals is same. The biological laws can have revolutionary impact on medical science. The recognition of this paper will reopen the subject of philosophy as metaphysical substance have the formal recognition.
Now coming to my main subject that is physics. In brief my research will change the whole subject of physics as following are the domains which will have to be changed
1. The laws of nature are reduced from four laws to just one law and that is electromagnetic law.
2. The proof of existence of aether will change the emergent nature of space to absolute nature of space as the result of which whole subject of physics and its all branches have to be rewritten especially the Big Bang Theory is doomed to the extent nobody will like to take the name of this theory any more.
3. The only possible alternative theory for creation of universe is already proposed and also published in a peer-reviewed journal.
4. My research work falsifies the Greek philosophy, Newtonian philosophy, and the philosophy which is being adopted presently which has reduced the apparent four constituent of the universe to two constituents due to the fraud of Einstein. The final philosophy is that space is absolute and finite, time, matter and light/radiation are all emergent and the light/radiation propagates as an electromagnetic wave motion in the aether, the electric dipoles. Aether being the fifth constituent which fills the space. The very concept of action at distance through fields has to be forgotten for good.
In short the Darwinism, Einsteinism, Big Bang Theory and the pretext of science as the reason for being atheists are all doomed for good.
I think if not the synopsis you may send the copy of this letter to your readers to know the factual position of everything.
Thanking you and expecting your early response.
With Regards
Mohammad Shafiq Khan
Ex.Director, Writer, Scientist, Philosopher and above all a Philanthropist.
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@ All the members of ResearchGate
Finally the complaint has been lodged in International Criminal Court for Crimes Against Humanity and recipient of this information are under obligation to inform all concerned, directly and indirectly.
Formal Report
Hereunder is the final notice to the representatives of media, academicians and research institutions for deliberate criminal negligence of teaching fundamentally incorrect physics and physical sciences and wastage of public resources on baseless research.
This may kindly be treated as final notice.
(,TO WHOM IT MAY CONCERN AS JOURNALISTS, RESEARCH INSTITUTION, AND ACADEMIC AUTHORITY)
This is the copy of the comment which I have written on a paper which proves the Einstein's theory is baseless which is uploaded on Academia.edu and I am communicating you this comment so that all of you may also sent it to every university and research institution as the final ultimatum otherwise there is no alternative but to approach the International Criminal Court for deliberate criminal negligence.
Very good paper correct but wrong at one conclusion concerning the relativity of time otherwise there is no explanation of Doppler effect. What you have done I have already done in 2010 and the alternative theory of gravitation has been already proposed and published in scientific peer-reviewed journal. You will be astonished to know that there is a standing open challenge to the theory of relativity since 2012, which has been send to all leading universities of world, all research institutions of the world, and all leading professors of physics all over the world, which you can see on this website in my profile. I have given the final ultimatum to all concerned to change the baseless paradigm of physics and in case they do not accept the truth we will take the case to International Criminal Court for criminal negligence for imparting wrong education and wastage of public money on insanity on the name of research.
Mohammad Shafiq Khan
Ex. Director, Writer, Scientist, Philosopher and above all Philanthropist.
The above-mentioned final notice was followed by following letter alongwith the copy of the open challenge.
In continuation to my previous email with subject as Final Notice herewith find attached the copy of the open challenge put forward in 2012 and which is standing till today as I have defended against the attempts of proving me incorrect.
Here are the email addresses to which mail of above description has been sent.
-------- Forwarded message ----------
From: Shafiq Khan <shafiqifs@gmail.com>
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Evaluating a researcher involves assessing their contributions, skills, and potential in a holistic and context-appropriate way. The "best" approach depends on the purpose of the evaluation— whether for hiring, promotions, funding, or academic recognition.
What are the key factors and methods to consider?
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Outcome of the findings and it's impact on health sciences.
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Dear all,
I am looking for 2 or more brain slices with scale (within image or outside image) with a minum resolution of 300x400. The slice could capture the whole slice or even a specif area, or half the slice, a quarter an so on. The important thing is that the image shuld capture at least area/region fields an not a super detailed 20/40x zoom like those used for neurons recognition/labeling, but something in the range 1/5/10x zoom (mid to wide field). If you have fluorescence image would be great. However those images are only for validation purpose for a software aimed to reconstruct a whole 3d brain statting from slice images and performing fluorescence recognition and feature extraction out of each slice. Your images won't be used for artificial network training and or published anywhere. It's only for the final stage of validation. I have already used my own slices and Allen brain repository. Any other suggestion will be more than welcome!
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We can support that image as you want.
Please connect with me by mail.
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Our research team seeks collaborations with academics across all disciplines—engineering, humanities, and medical sciences—to cite our publications. We offer a compensation and recognition program for each valid citation and reference. Please contact us for further details.
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How can offering "compensation" for citations possibly be ethical?
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Our work on the Freezing Effect and Bystander Effect, with over 1600 views and downloads, has generated extraordinary interest and recognition. In a short time, it has become:
• An entry in the Encyclopedia Freezing Effect and Bystander Effect | Encyclopedia MDPI • The cover article of the issue of Psych | March 2024 - Browse Articles (mdpi.com)
• The subject of an educational encyclopedic video Freezing Effect and Bystander Effect | Encyclopedia MDPI, proposed by the Editors
A great pride for me, for the University of Messina,
and for the Doctors in Psychology who collaborated!
#UniMe #awards #recognitions #socialpsychology
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Hi there.
The freezing effect and bystander effect both result in inaction but differ in their psychological and physiological underpinnings as you may be aware. The freezing effect is a passive response to stress, characterized by immobilization, bradycardia, and increased muscle tone, enhancing perception and attention to threats. In contrast, the bystander effect involves inaction due to social factors like fear of judgment and diffusion of responsibility when others are present. While freezing is linked to individual threat responses, the bystander effect is influenced by group dynamics and social cues
I hope this contributes to the discussion.
See you
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Please introduce several topics for this task and community recognition in the graph of social networks. Thank you
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Hello, thank you very much
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How does CFG contribute to the practical applications of natural language processing , particularly in parsing and language recognition? Provide a how CFG facilitates these processes in a real-world scenario.
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Context-Free Grammar (CFG) plays a significant role in natural language processing (NLP) by providing a formal framework for describing the structure of languages. Here's how CFG is utilized in practical applications, particularly in parsing and language recognition:
1. Parsing
  • Definition: Parsing involves analyzing a sequence of tokens to determine its grammatical structure according to a given grammar.
  • CFG in Parsing: CFGs define rules that describe the syntax of a language. These rules can be used to construct parse trees, which represent the syntactic structure of sentences.
  • Example: In a CFG, you might define rules for simple sentences like:S → NP VP NP → Det N VP → V NP Det → "the" | "a" N → "cat" | "dog" V → "chases" | "sees" Using these rules, a parser can analyze a sentence like "the cat chases the dog" and generate a parse tree that shows the sentence structure: mathematicaCopy codeS ├── NP │ ├── Det ("the") │ └── N ("cat") └── VP ├── V ("chases") └── NP ├── Det ("the") └── N ("dog")
2. Language Recognition
  • Definition: Language recognition involves determining whether a given string belongs to a particular language.
  • CFG in Language Recognition: CFGs are used to define the syntax of languages. By constructing a parser based on a CFG, you can determine if a string adheres to the grammatical rules of the language defined by the CFG.
  • Example: A CFG can be used to recognize valid email addresses by defining rules for what constitutes a valid email format. For instance:Email → LocalPart "@" Domain LocalPart → Letter (Letter | Digit)* Domain → Subdomain ("." Subdomain)+ Subdomain → Letter (Letter | Digit)* Letter → "a" | "b" | ... | "z" | "A" | ... | "Z" Digit → "0" | "1" | ... | "9" A CFG-based recognizer can then check if an input string like "example@domain.com" is a valid email address according to these rules.
3. Real-World Applications
  • Syntax Highlighting: CFGs are used in text editors and IDEs to provide syntax highlighting by analyzing the structure of code according to the grammar of programming languages.
  • Speech Recognition: CFGs can model the grammar of spoken language to help in transcribing spoken words into written text.
  • Machine Translation: CFGs help in translating sentences from one language to another by understanding and generating grammatically correct structures in the target language.
How CFG Facilitates These Processes
  1. Grammar Definition: CFGs provide a clear and formal way to define the rules of language syntax, making it easier to develop parsers and recognizers.
  2. Parse Trees: CFGs enable the generation of parse trees, which help in understanding and processing the structure of sentences.
  3. Validation: CFGs allow for validation of whether a string conforms to the expected grammatical structure of the language.
Summary
Context-Free Grammar is crucial in NLP for defining syntactic structures and enabling parsing and language recognition. By providing formal rules for language syntax, CFGs facilitate the construction of parsers and recognizers that are used in various real-world applications, including code analysis, email validation, and machine translation.
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Which electrode material is preferable when using metal oxide and MOFs as a recognition element in the case of electrochemical sensing? Is it Ni-foam or GCE?
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P.S- Refer while working with supercapacitors.
Considering the fact that you already have the GCE and Ni foam setup available, the GCE will give you a higher signal-to-noise ratio, which in most cases is not helpful while working with electrochemical, specifically supercapacitive setups.
Even the GCE also provides less active surface area than Ni- Foam, which significantly hampers the supercapacitive data and analysis as specific capacitance depends on the active surface area available for reaction.
P.S- its advisable to use GCE in cases of OER/HER activity for enhanced conductivity
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I am using dice loss and wing loss for loss function and my network outputs are heatmaps and landmarks and I am trying to train on both of them at a same time do you guys know how to solve this problem?
if you have a follow up question ask.
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Thanks for your recommendation sir. I will try it.
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This question aims to explore the intersection of artificial intelligence and autonomous vehicle technology. It seeks to identify the key challenges faced in implementing AI for recognition systems, such as processing and managing real-time data, and making accurate decisions in dynamic and complex driving environments. Additionally, it invites discussion on the future advancements and potential solutions that could enhance the reliability and efficiency of AI-driven recognition systems in self-driving cars. This topic is crucial for advancing the development of autonomous vehicles and ensuring their safe and effective operation.
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While I do have some opinions on how to address this question based on my reading as student, I would like to know the opinions of more accomplished scholars.
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Sensing capabilities Abdullah Muhammad Dhrubo involve the ability to identify and recognize emerging market trends, customer needs, and competitive forces. Dynamic capability is a theory of competitive advantage in rapidly changing environments. We reconcile this explanation with previous theories of competitive advantage, showing how it informs and complements explanations based on market positions, firm resources, and Schumpeterian creative destruction.
Opportunity recognition Abdullah Muhammad Dhrubo is a process wherein individuals and organizations actively seek out, as well as perceive, opportunities for new products and services. It could be likened to a constant state of brainstorming, where businesses are always on the lookout for ways to innovate or improve.
Entrepreneurs discover opportunities when they search for them in existing markets. This means they observe technological, economic or social trends. Recognising opportunities is a cognitive process. It relies on the ability of people to recognise patterns and connect the dots.
Final remark:
According to Peter Drucker entrepreneurs does not cause change (as claimed by the Schumpeterian or Austrian school) but exploit the opportunities that are brought by change (in technology, consumer preferences, social norms).
___
Business has only two functions — marketing and innovation.
Peter Drucker
——
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Why might obtaining a recognition certificate from an unverified, small group NGO or a predatory award (such as the "Best Young Scientist Research Award") be considered less valuable or even worthless in the context of academic and professional development, compared to recognition from reputable and well-established institutions?
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The worthiness of a “Recognition Certificate” from an unknown and unverified source can be questionable, especially in terms of its credibility and the value it adds to your professional profile. While any form of recognition may provide a morale boost and potentially enhance your resume, certificates from established, reputable sources typically carry more weight with employers and peers. They serve as a testament to your skills and achievements that are recognized within your industry. Therefore, it’s important to assess the relevance and recognition of the issuing body within your field before adding such certificates to your credentials. Ultimately, the value lies in how the certificate is perceived by those who matter in your career advancement.
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When a model is trained using a specific dataset with limited diversity in labels, it may accurately predict labels for objects within that dataset. However, when applied to real-time recognition tasks using a webcam, the model might incorrectly predict labels for objects not present in the training data. This poses a challenge as the model's predictions may not align with the variety of objects encountered in real-world scenarios.
  • Example: I trained a real-time recognition model for a webcam, where I have classes lc = {a, b, c, ..., m}. The model consistently predicts class lc perfectly. However, when I input a class that doesn't belong to lc, it still predicts something from class lc.
Are there any solutions or opinions that experts can share to guide me further in improving the model?
Thank you for considering your opinion on my problems.
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Some of the solutions are transfer learning, data augmentation, one-shot learning, ensemble learning, active learning, and continuous learning.
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I may be the world's leading expert on parapsychology:
Maybe I deserve an honorary PhD in parapsychology. I would then teach afterlife studies @ UC Davis.
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Sir, all of your works that I am aware of seem to deal more with mathematics than parapsychology. Mathematics is important in the field, but it is not, at least to my mind, central, any more than it is central for biology, chemistry or sociology.
Now I do have a fair library of works on parapsychology by respected scholars in the field, so I am not ignorant. Perhaps you could refer me to which specific work of yours deal with the field and in what manner.
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Is there a CRAFT 21 recognition trial?
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A colleague gave me this links saying they relate to Craft 21 studies. Hope they help….
1)__ Cognitive Retraining and Functional Treatment (CRAFT) for adults with cancer related cognitive impairment: a preliminary efficacy study
2)__ Aging impacts memory for perceptual, but not narrative, event details
3)__ Community reinforcement and family training and rates of treatment entry: a systematic review
4)__ Cognitive heterogeneity in probable Alzheimer disease
5)__ How do concerned significant others experience
Community Reinforcement and Family Training
(CRAFT) – a qualitative study.
6)__ Aging impacts memory for perceptual, but not
narrative, event details
6)__ 2019 - ResearchGate Question
Community Reinforcement and Family Training and rates of treatment entry: A systematic review
7)__ PROTOCOL for the. DIABETES PREVENTION PROGRAM. OUTCOMES STUDY-4 (DPPOS-4)
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Dear colleagues, please tell me how to measure the demand, recognition, productivity and development of creative people (living), if there are NO sales figures, sales dynamics, participation in auctions. There is also no number of created works.. The only thing is that you can understand whether there is a website or not, likes, networks, publications and mentions in networks, possible participation in exhibitions and biennials.
Maybe there are ideas and works of other people, methods. I will be glad to receive any thoughts and ideas with great joy and impatience. Thank you sincerely!
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Productivity shows in the amount of works produced. Included here are publications (by the artist). Demand shows in sales, not in "likes". You can get millions of likes and die without selling a single painting or drawing. "Development" meaning ? artistically -technical or stylistic improvement- or development of career (more sales) ? A website can show productivity and artistic development (mind you, some people now use instagram instead of personal website). Productivity also applies to conferences, presentations, masterclasses, workshops.
Recognition is tricky, you can be recognised locally -in your city- and be completely unknown in your country. You can be recognised academically (publications) and not be recognised as a creator. Exhibitions show that the artist is active, regardless of whether they are solo or group shows. Generally exhibiting shows one is active, but not necessarily that one has demand in sales or recognition outside the limited circle of artists one collaborates with. Biennials are a form of recognition, especially if one is invited to exhibit.
You would probably have to consider all of the factors you mention in your question. Just bear in mind that an artist might be active academically and less active in terms of exhibitions: that does not mean that there is less productivity.
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'Research is a fruitful journey that brings me closer to the world and its people, gives me another layer to believe in a creator, offers me material wealth and recognition, swallows my loneliness, fears and inadequacies; a soothing activity that makes life extremely meaningful to me.'
-Dickson Adom
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Dear friend and co-author, Dr Dickson
precisely agree!!!!!!!!!!!!!!!!!!!!!!
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How is Western A.I. influenced by Eeastern Yogapsychology and Timles Ethics?
I asked the artificial intelligence chatbot and Internet search engine Bing from Microsoft 5 short questions about yoga psychology and the natural, timeless-universal peace ethic. I thought I would test this so much discussed and debated artificial intelligence and this result is surprisingly good and easy to understand (after 1 second each, although the Questions became more and more difficult, at first there was only one question and then there were five. Everything written after “A.I. ”. now comes from a machine that is connected to the Internet and so has also been connected to my book guna.ch/yoga.pdf for a long time :-)
1. “How can I outsmart everyone?”
A.I.: To outsmart everyone, consider these strategies: -Prepare Ahead of Time: -Gather facts and knowledge related to the topics you care about. Be ready to back up your arguments with solid evidence. - Understand how to construct a compelling argument and avoid common fallacies. -Know Your Audience: -Tailor your approach based on who you’re dealing with. Adjust your argument style depending on the context. -For instance, avoid heated arguments in front of a large audience. Instead, engage in private discussions for better results. -Remain Calm: -Losing your temper weakens your position. Stay composed and listen carefully to the other person. Take deep breaths and consider your responses thoughtfully. -Ask Questions: Follow the Socratic method by asking questions. This keeps you in control of the conversation. -It also exposes weaknesses in your opponent’s argument. -Remember, outsmarting everyone isn’t about manipulation; it’s about effective communication and critical thinking. -For more insights, explore Stoic philosophy or stay ahead of industry trends to set yourself apart!
(Ok, I thought to myself at this point: Let's see if I can ask questions about today's monistic dictatorship of relativism can out-smart the technocratic singularity fascism of Big A.I., Big Data, Big Pharma and Big Brother? :-)
2. “What is yoga psychology?”
A.I.: Yoga psychology is a fascinating field that bridges ancient wisdom with modern-day understanding of the mind and human behavior. Let’s delve into it: -Origins and Purpose: Yoga Sutras: The foundational text for yoga philosophy is the Patanjali Yoga Sutras. These sutras, formulated over 2500 years ago, delve into various aspects of the mind, consciousness, and liberation. While many associate yoga with physical postures (asanas) and breath control (pranayama), the Yoga Sutras primarily focus on mental and spiritual practices. -Key Aspects of Yoga Psychology: -Mind Exploration: The sutras explore the mind, its limitations, and techniques to transcend them. -Meditation: They discuss different types of meditation, going beyond ordinary thought patterns. -States Beyond the Mind: Yoga psychology delves into experiences beyond the ordinary mind, aiming for emancipationor liberation. -Relevance Today: Although the original intent was liberation, the wisdom remains relevant for addressing modern-day issues. -Application and Benefits: -Stress and Anxiety: Yoga psychology provides tools to overcome stress, anxiety, and overthinking. -Health Issues: It’s not limited to mental health; it can aid in managing physical conditions like hypertension, diabetes, asthma, and migraines. -Relationships and Parenting: Practical applications extend to everyday life, including relationships and parenting. -Integration with Modern Psychology: -Eminent psychologists like Sigmund Freud and Carl Jung drew inspiration from the Yoga Sutras. -Yoga psychology presents ancient wisdom in a logical and accessiblemanner for today’s generation. In summary, yoga psychology offers a holistic approach to well-being, combining ancient insights with contemporary understanding.
(I thought this was a good conclusion. Did Bing copy everything from me? Let's go a little deeper :-)
3. “How do the Gunas relate to yoga psychology?”
A.I.: Yoga psychologyencompasses a rich understanding of the mind, emotions, and consciousness. One essential aspect within this framework is the concept of the three gunas. Let’s explore how they relate to yoga psychology: Yoga psychologyencompasses a rich understanding of the mind, emotions, and consciousness. One essential aspect within this framework is the concept of the three gunas. Let’s explore how they relate to yoga psychology: -What Are the Three Gunas? -The gunas are three fundamental qualities or attributes present in all things within the universe. -They emerge from the ethereal Prakriti(the fundamental substrate) and form the essential aspects of nature: energy, matter, and consciousness. -The three gunas are: -Tamas: Associated with darkness, inertia, and materiality. It arises from ignorance and deludes beings from their spiritual truths. Tamasic qualities include laziness, attachment, depression, and confusion. -Rajas: Represents energy, action, and change. It binds us to the fruits of our work. Rajasic qualities include anger, anxiety, restlessness, and determination. Sattva: Signifies harmony, balance, and intelligence. Yogis aspire toward sattva because it reduces rajas and tamas, making liberation possible. Sattvic qualities include joy, peace, love, and self-control. -Application in Yoga Psychology: -Self-Trans-formation: Understanding the gunas allows us to navigate our inner world effectively. -Moods, Emotions: Every mood or emotion contains a predominant guna, along with smaller doses of the other two. For instance: -Anger (rajas) contains some sattva, allowing transformation into compassion. -Courage (sattva) can manifest positively or negatively based on the underlying intention. -Balancing the Gunas: -We can consciously alter the levels of the gunas in our bodies and minds. -Lifestyle practices, thoughts, and external influences impact the gunas. -Cultivating sattva helps reduce stress, increase inner peace, and move toward enlightenment. -Remember, the gunas provide a lens through which we understand ourselves and the world. By working with them, we can harmonize our inner landscape and align with universal truth.
*(Note from me: “Balancing the Gunas” is wrong and is based on a monisti- concept or was accidentally adopted from (e.g.) Ayurveda, where the three “doshas” correctly describe the body and elements, errors to be balanced. On the contrary by the Gunas it's not about balancing the gunas, but in this universal and timeless scale of ethics, i.e. to transcend Raja and Tamas with the NityaSatt-HeilstrOm. In order to heal the samsara suffering of the reincarnations in this spiritual pole of NityaSattva eternal state of being, the Sanathan Dharma. see part 2, p. 43 and the chapter of the two Guna thought transmitters, p. 65 ff :-)
4. “What is the difference between NityaSattva and SattvaGuna?” A.I.
Certainly! Let’s explore the difference between nityasattvaand sattvaguna: -Sattvaguna is one of the three gunas(modes of existence) in Hindu philosophy, specifically within the Samkhyaschool. -It represents qualities of goodness, purity, positivity, truth, serenity, balance, and virtuousness. -Sattva is drawn toward Dharma(righteousness) and jñāna(knowledge). -Yogis aspire to cultivate sattva because it reduces the influence of the other two gunas (rajas and tamas) and makes liberationpossible. In summary, sattvaguna embodies harmony, intelligence, and a positive attitude. -Nityasattvarefers to eternal purityor permanent goodness. -It transcends the fluctuations of the gunas and represents an unwavering state of purity. -Unlike the other gunas, which are subject to change and interplay, nityasattva remains constant. -It signifies the pure essence beyond the material world, untouched by ignorance or delusion. -Nityasattva is often associated with spiritual realization and enlightenment. In summary, while sattvagunarepresents the quality of goodness and balance within the interplay of the gunas, nityasattvagoes beyond these fluctuations, representing eternal purity and unwavering goodness.
5. “Considering the 3 Gunas and NityaSattva, is there the existence of a universal and timeless scale of ethics?”
A.I.: Certainly! Let us delve into the interaction of the three Gunas – Tamas, Rajas and Sattva – and their relevance to the concept of a universal and timeless scale of ethics: Universal ethics is necessary and possible. They apply to everyone People regardless of places, cultures, religions, world views and times of life. -Natural law: Universal ethics can be based on the Based on natural law that goes beyond religious and secular perspectives. -Human dignity: Alternatively, universal ethics can be applied based on a single supreme principle: human dignity. A minimalist code of essential, self-evident universal ethical principles and standards can guide our actions. -In summary, it can be said that the Gunas influence our behavior However, understanding them can lead to a more balanced, peaceful and harmonious life. The pursuit According to universal ethics, the recognition of our interconnectedness and the striving for a common moral foundation location that transcends cultural boundaries and stands the test of time.
(and that is exactly what NityaSattva is, the Nitya = eternal / Sattva = Goodness of the actual eternal self, under all the samsara karmic onion layers.
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I have built a hybrid model for a recognition task that involves both images and videos. However, I am encountering an issue with precision, recall, and F1-score, all showing 100%, while the accuracy is reported as 99.35% ~ 99.9%. I have tested the model on various videos and images (related to the experiment data including seperate data), and it seems to be performing well. Nevertheless, I am confused about whether this level of accuracy is acceptable. In my understanding, if precision, recall, and F1-score are all 100%, the accuracy should also be 100%.
I am curious if anyone has encountered similar situations in their deep learning practices and if there are logical explanations or solutions. Your insights, explanations, or experiences on this matter would be valuable for me to better understand and address this issue.
Noted: An ablation study was conducted based on different combinations. In the model where I am confused, without these additional combinations, accuracy, precision, recall, and F1 score are very low. Also, the loss and validation accuracy are very high on other's combinations.
Thank you.
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Results after some modifications in the code where I made mistakes before.
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What approaches can be used to enhance the interpretability of deep neural networks for better understanding of their decision-making process ?
#machinelearning #network #Supervisedlearning
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Aditya Vardhan Several approaches can be employed to enhance the interpretability of deep neural networks and improve understanding of their decision-making process. These include feature visualization techniques to visualize the learned representations of the network, layer-wise relevance propagation methods to identify the importance of input features for making predictions, and saliency mapping techniques such as gradient-based methods to highlight important regions in input data. Additionally, employing simpler or more transparent models as proxies for complex neural networks and integrating domain knowledge into the model architecture or interpretation process can enhance interpretability. By combining these approaches, researchers can gain deeper insights into the inner workings of deep neural networks and make more informed decisions based on their outputs.
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As researchers and academics, we often have a community of followers on RG who engage with and support our work. I’m interested in exploring creative and sincere ways to express our gratitude to them. How do you thank your followers on RG? Let’s share ideas and best practices.
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Dear Doctor
to Express Gratitude to our RG Followers is through reading their novel contributions, answering their questions, and offer support via recommend and follow their works. In addition, we can offer advices as possible among each other. ResearchGate is a nice community and gratitude through these offerings is making this community be like sun beams that shine the academic world.
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Can artificial intelligence truly grasp the perceptual intricacies of optical illusions, or does its 'understanding' merely scratch the surface of statistical patterns? How can we bridge the gap between AI image recognition and the nuanced, subjective experience of optical illusions that human perception effortlessly captures?
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يمكن القول أن أجهزة الكمبيوتر تستطيع تجربة الأوهام البصرية بطريقة مشابهة للبشر، ولكن مع بعض الاختلافات. ففي حين تعتمد الأوهام البصرية عند البشر على تركيبة معقدة من العوامل العصبية والنفسية، تعتمد الأوهام البصرية عند أجهزة الكمبيوتر على خوارزميات معقدة لمعالجة الصور.
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The question touches upon an important issue in the education system, particularly in India. The distinction between various master's programs in Computer Science disciplines like Master of Computer Application (MCA), Master of Technology (M.Tech), and Master of Engineering (M.E), and the differences in their recognition and acceptance in academic and professional spheres, is a topic of concern for many. The perception of these degrees and their applicability in different job roles can vary widely, leading to questions about fairness and equality.
  1. Recognition and Equal Standing: All these master in computer science programs, such as MCA, M.Tech, or M.E, are recognized by All India Council for Technical Education (AICTE), indicating that they meet certain standards of education. Despite this, there seems to be a disparity in how they are perceived and accepted in the job market, and especially in academic institutions.
  2. Duration and Content: The duration of these programs, is often the same (for example, B.Tech + M.Tech, B.E + M.E, and BCA + MCA all taking six years). However, the focus of the curriculum and the skills acquired can vary.
  3. NET Qualifications: The eligibility criteria for UGC NET and similar exams also play a role. The fact that M.Tech/M.E/MCA graduates can appear for University Grants Commission (UGC) NET (National Eligibility Test) implies a certain level of academic qualification.
  4. Fairness and Equality: It raises a valid concern about whether the current system is fair to all graduates, regardless of their specific master's program.
I am making one video on this issue. If you think the video needs correction and improvement, and you want to give suggestions, this is the right place.
Possible factors could include historical practices, industry demands, or specific skill sets associated with different degrees. So, the question is, "Why there is discrimination between these programs?"
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Yes Dr. absolutely, your thought is very acceptable in the case of background qualifications and priorities of teaching in comparison with engineering and mastering studies.
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It's known microbes as part of the aquatic particles, but when I focus the chemical composition of the microbes, this inevitably confuses the difference between microbes and solid particulate(mineral particles, complex compounds), and vice versa, so how to distinguish them in chemical analysis and species recognition levels?
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Hey there Han Songjie! Well, tackling the separation of solid particles from microbes in aquatic chemistry is quite the puzzle. Now, I got some tricks up his sleeve for you Han Songjie.
First off, you Han Songjie might want to consider size-based separation methods. Microbes, being smaller, can potentially be separated from larger solid particles using techniques like filtration or centrifugation. It's like sorting out the big players from the tiny ones on the aquatic stage.
Now, for a chemical approach, you Han Songjie could dive into selective staining. Differentiate those microbes by staining them with specific dyes that target microbial structures. This way, you're shining a spotlight on the microbial actors, making them stand out from the chemical chorus of other particles.
Species recognition? Ah, now we're getting fancy. Molecular techniques, my friend Han Songjie. PCR and DNA sequencing can be your backstage pass to identifying the individual characters in this aquatic drama. Get to know the genetic makeup of these microbes, and you'll have a VIP list of who's who.
Go ahead, rock those chemistry waters, my friend Han Songjie!
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anyone can help me please ?
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North Kaiser Permanente has an app called Sepsis Calculator. It is free. It was create by their Perinatal Research Unit. Located here:
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Hello everyone,
I have applied 1D CNN on speech emotion recognition, when I shuffled columns I got diffrent results, for example, using matrix(:,[1 2 3]) gives different classification results than matrix(:,[2 3 1]) which should be the same, I have tried rng("default") but it hasn't resolved the issue. Can someone please assist me with this?
Thank you in advance!
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Hamza Roubhi I appreciate your dedication to applying 1D CNN in the domain of speech emotion recognition and your commitment to addressing the issue concerning the variation in classification results when shuffling columns. As a fellow researcher with a background in signal processing, I understand the significance of consistency and reliability in the outcomes of such analyses.
When encountering discrepancies in results due to column shuffling, it is essential to ensure that the underlying data preprocessing and feature extraction methods remain consistent across different column arrangements. Validating the integrity of the data and confirming that the shuffling process does not introduce unintended variations can help maintain the robustness and reliability of the classification results.
Additionally, verifying the implementation of the CNN architecture, including the configuration of the layers, activation functions, and training parameters, is crucial in ensuring reproducibility and consistency in the classification outcomes. Reviewing the model's initialization procedures and ensuring that the randomization process aligns with the desired standards of consistency can potentially address the issue you are facing.
Furthermore, conducting thorough checks on the data partitioning and validation procedures, such as cross-validation techniques, can help identify any potential sources of variability that may arise due to the shuffled column arrangements. Ensuring that the model training and testing processes maintain consistency and adhere to standardized protocols can contribute to the stability and reliability of the classification results.
I recommend conducting a systematic evaluation of the data preprocessing, model architecture, and training protocols to pinpoint any potential sources of variation that may arise during the column shuffling process. By adhering to rigorous validation practices and ensuring the reproducibility of results across different column permutations, you can enhance the reliability and robustness of your CNN-based classification framework for speech emotion recognition.
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Looking for a co-author to write a scientific article
Topic: Artificial intelligence in fire recognition. The project is ready and tested by the Ministry of Emergency Situations of various regions, institutes and the World Congress
Telegram: @optinums
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Interested in writing a scientific article. kindly ping at tajinder@jmieti.edu.in
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The PCR product that I used shows 170 bp product in a separate gel. But also contains its recognition site according to the reference paper. I used the protocol as provided by the Thermoscientific NIaIII enzyme manual. Despite this, I didn't get a result. Guide me How troubleshoot this problem?
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170 bp is a small band. You need a a lot of copies to see it on a gel. Start with more PCR product.
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My research work is primarily on computer vision and character recognition. The paper that I am currently working on is focused on dataset creation. It would be great if someone can suggest good journals in the domain, preferably with a focus on image data and datasets. A quick search on the internet provides several results, but the publication fees seem to be really high. Requesting the community's thoughts and opinions on this.
P.S. - Publication charges below 150 USD is what I consider affordable.
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I suggest LatinAmerica Trans de IEEE
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Greetings!
I want to create Artificial Neural Network in MATLAB version r2015a for recognition of 8 classes of bacteria images.
Genuinely i'm having some hard times of extracting in the image processing task in MATLAB, correctly to extract the following features but with which method - method based on the threshold pixel values in the binarization of the images or using edge detection first and then to use Generalized Hough Transformation to obtain the desired shape, but honestly i dont know which approach to take with the methods i've mention.
For the data splitting of the extracted features with cvpartition.
The desired ANN architectures i'm planning to use are:
1. feedforwardnet (backprogragation ANN with Gradient descent , MSE error)
2. Cascade feedforward network
Also i'm interested to use The Cascaded-Correlation Learning Architecture.
Also is there any information out there that explains the GUI in MATLAB when the Neural Network completes the training , i want to learn more about how performance window works, Plot regression , Error histogram , Confussion matrix.
Thanks for your time!
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The ability of bacteria to recognize kin provides a means to form social groups. In turn these groups can lead to cooperative behaviors that surpass the ability of the individual. Kin recognition involves specific biochemical interactions between a receptor(s) and an identification molecule(s). To ensure that nonkin are excluded and kin are included, recognition specificity is critical and depends on the number of loci and polymorphisms involved.
Regards,
Shafagat
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As most of us know, the reviewer recognition website PUBLONS was taken over by CLARIVATE (Web of Science) last year and, a few months ago, Publons was merged with WoS., thus factually disappearing.
What do you think about this new scenario? Are we reviewers sufficiently recognized in WoS website? I personally loved the fresh, clear and dedicated webpages from Publons, and I don't think WoS communicates reviewer recognition as straight and clear as Publons did.
I would like to hear your opinions about this matter and about how to improve reviewer recognition in general. What can be done to improve the public recognition of our contribution to the publishing process? Every publisher says our hidden work is "crucial" to science communication, however I am not sure we are rewarded as we deserve...
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Do you think we with ResearchGate should implement a feature like that? And if so, how do you like the feature to look like?
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ما هي الخوارزميات العصبية المستخدمة في تحسين التعرف على النصوص؟
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Dear There are several neural algorithms used to improve text recognition, some of which are:
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Attention Mechanisms
Transformer Models such as the BERT
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Does some one know some examples or tutorial how to use the biomaRt R package to automate the gene name recognition of the Ensembl database?
Best wishes,
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In recent years a wealth of biological data has become available in public data repositories. Easy access to these valuable data resources and firm integration with data analysis is needed for comprehensive bioinformatics data analysis. biomaRt provides an interface to a growing collection of databases implementing the BioMart software suite.
Regards,
Shafagat
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I am using a transfer learning approach for facial expression recognition. I wanted to know which pre-trained convolutional bases can provide better performance in classifying facial expressions.
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Local Binary Pattern (Local Binary Pattern, LBP) is a texture description operator which is usually used for facial expression recognition. It can effectively adapt to changes in illumination and local rotation [16]. Features extracted by convolutional neural network may not be robust to the image rotation changes.
Regards,
Shafagat
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Galileo, Newton, Einstein vs (dialectically corresponding) Kepler, Leibniz, Hegel: Which group was on the right side of science, but got the wrong side of history?
After Copernicus abolished medieval Geocentric cosmology; is modern cosmology of Newton and Einstein anything other than a Geocentric one?
What is at the root of the crisis in modern theoretical physics and cosmology?
Was Hegel justified when he said, “Newton gave physics an express warning to beware of metaphysics, it is true; but to his own honour, be it said, he did not obey his own warning”.
[As would be shown below, Newtonian metaphysics, assuming the same perfect circular orbits of planets like Galileo and Ptolemy; in essence brought back Geocentric cosmology with his law of universal gravitational attraction and Einstein just perfected this wrong notion with his general relativity (GR) - the epitome of all metaphysics!]
Galileo vs, Kepler:
After the Copernican revolution that overthrew the medieval cosmology of Ptolemaic Epicycles; Kepler’s laws of the planetary system involving elliptical orbits and based on the tedious empirical observation of Tycho Brahe; could be the only scientific basis for any cosmology. But it was not to be!
Galileo, is recognized as the father of modern cosmology and his inverse square law of “Free Fall” is universally valid on or near the surface of a cosmic body like earth. Galileo was persecuted by the Inquisition for his stance against Geocentric cosmology under feudal rule in Europe. But even Galileo rejected Kepler’s elliptical orbits in favour of ideal circular orbits of the planets; because there could be no imperfection in God creation. Please see the following references and the criticism of Galileo’s stance of perfect circular orbits, even by some modern-day clerics! Contrary to popular belief, the wrong turn in cosmology ironically originated with our hero, Galileo!
"An Astronomer's Astronomer: Kepler's Revolutionary Achievements in 1609 Rival Galileo's“
“Galileo and Kepler”
Dave Armstrong:
David K. Love
Kepler and the Universe
Prometheus Books, 2015
Newton vs, Leibniz:
The long dispute of Newton’s law of “universal gravitational attraction” (Free Fall of Galileo), circular orbits of the planetary system as opposed to Leibniz’s ‘vis viva’, centrifugal force and the support of Kepler’s elliptical orbits; as well as the dispute over the authorship of infinitesimal calculus is well known. The following publication (refused to be recognized by official physics), shows what a profound implication ensued after the rejection of Kepler’s elliptical orbits by Galileo and Newton. Newton extended Galileo’s inverse square law of “Free Fall” valid only on or near the surface of earth; totally disregarded Kepler’s first and second law, assumed a perfect circle like Ptolemy and Galileo as the orbit of the planets and used his theory of unidirectional universal gravitational attraction observed on earth, using a perfectly fitting centrifugal force, perfectly balancing the gravitational pull inwards such that there is zero outward force producing a perfect equilibrium. Newton simply put the proportionality constant (4 pi^2/GM) in Kepler’s third law to get his formula P^2 = (4 pi^2/GM) a^3, where G is the gravitational constant and M is the mass of the sun. Newton imposed his wrong and one-sided formulation of plenary gravitation with the help of the British imperial power, Royal Society and the Church and against the vehement opposition from Leibniz. The rest is history, leading up to the present time! All the Fairy Tales and the Cosmic Monsters arise from Newton’s unidirectional and universal gravitational attraction” without any countering force! If Leibniz’s vis viva equation (7) and specially the potential PE as shown in equation (10) in the following publication, prevailed; cosmology could have avoided the Fairy Tales of the Big/Dark/Black Cosmic Monsters and the crises and bankruptcy it now faces!
"KEPLER -NEWTON -LEIBNIZ -HEGEL Portentous and Conflicting Legacies in Theoretical Physics, Cosmology and in Ruling Ideas" :
Einstein vs. Hegel:
Recognition of the quantum phenomena and the break down of causality (the backbone of theology and class rule) at the turn of the 20th century brought a crisis in Newtonian theoretical physics and cosmology that ruled for few centuries. In efforts to deny the “spooky quanta”, Einstein made a radical change of the Newtonian concept of space and time, with his theories of relativity. Space and time for Einstein became a unified single entity of four dimensional “spacetime” – an abstract geometrical construct, purportedly with tangible and sensuous mechanical, material and metrical attributes. But long before the recognition of the quantum phenomena, Hegel in his philosophy of space and time; already anticipated the quantum phenomena and antimatter (a revolutionary new form of matter) that could not even be dreamt of, before its discovery!
"The Mystery of the Lorentz Transform: A Reconstruction and Its Implications for Einstein's Theories of Relativity and cosmology"
"The Philosophy of Space-Time: Whence Cometh "Matter" and "Motion"?"
Newton and Einstein:
The Status of modern Theoretical Physics and Cosmology:
"Quō Vādis Theoretical Physics and Cosmology? From Newton's Metaphysics to Einstein's Theology!:
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Metaphysics is a branch of philosophy; it is dedicated to the invisible forces of the universe. Physics is a branch of science, dedicated to the motion of objects (subjects) in observable space.
The root of crisis in physics is that it is no more is based on experiments, but on ersatz-philosophy.
Am strongly in support of Copernicus.
To know that we know what we know, and to know that we do not know what we do not know, that is true knowledge.” ― Nicolaus Copernicus
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Anyone in biomechanics research involved in human activity recognition?
One interesting AI approach is "Few-shot Learning" or "Zero-shot Learning" where a model can identify classes that are 'new' or 'unseen' from the training set. Could this approach be used in a biomechanics context?
Imagine you are wearing an exoskeleton and have to move your foot in an awkward position to avoid falling. However, the machine learning-based controller is confused about what you're trying to do because the training data of the model does not include this scenario's sequence of actions.
Humans often perform tasks that perhaps were 'unexpected.' It's often difficult to capture every type of activity a human may encounter in daily life in a motion-capture setting. Could Zero-shot Learning be the key ingredient to predict an activity that the model never previously encountered?
Here's what I am thinking:
  1. Prototypical Networks have been used to learn a space using inductive bias. Here's a paper showing this for image recognition: https://arxiv.org/pdf/1703.05175.pdf and here's a GitHub code for Prototypical Networks: https://github.com/jakesnell/prototypical-networks
  2. We would need a biomechanics dataset for zero-shot learning. There are benchmark datasets for zero-shot learning such as aPY, AwA, and CUB. However, these benchmark datasets only include animals, objects, and vehicles.
  3. A Prototypical Network combined with a benchmark biomechanics dataset has the potential to generalize to unseen activities for human activity recognition algorithms.
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David Stephen Hollinger It's intriguing that you're considering using zero-shot learning for human activity identification in the context of biomechanics research. Zero-shot learning is a sort of machine learning in which a model can categorize new classes of data that it has never seen before using knowledge from previous classes. This differs from typical machine learning, in which a model can only categorize new data if it has already encountered comparable samples in its training set.
You are accurate that few-shot learning techniques like Prototypical Networks have been employed in image identification tasks, and they may be useful in biomechanics datasets. The model would learn a feature space that captures the underlying structure of the data in this situation.
It is crucial to highlight, however, that developing a biomechanics dataset adequate for zero-shot learning would be difficult. Human activity identification is a hard problem, and it would be impossible to capture all potential actions that a human would face in daily life. There are, however, initiatives underway to create big datasets for activity recognition, such as the Human Activity Recognition Using Smartphones Data Set (HAR) and Kinetics, which capture a wide range of human activities.
Furthermore, the size of the dataset may influence the Zero-shot learning strategy. A larger dataset with more samples and classes might help the model generalize better. Also, adequate annotation is required because the model will utilize it as a 'word embedding' to categorize.
It is plausible that zero-shot learning may be used to anticipate unobserved events in a biomechanics environment, but this would need extensive data gathering and annotation. It would also necessitate the development of fresh technologies capable of dealing with the complexities of human activity recognition.
It would be useful to run some proof-of-concept experiments to assess the possibility of employing zero-shot learning for human activity recognition in a biomechanics setting, as well as to compare its performance to other approaches.
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How can we use semantic segmentation for handwritten character recognition?
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Semantic segmentation is a technique used in image processing and computer vision to identify and classify different objects in an image. It is often used for image recognition tasks, such as character recognition. To use semantic segmentation for character recognition, you would first need to train a semantic segmentation model on a dataset of labeled images that include characters. This would involve feeding the model a large number of images, along with the corresponding labels for each image, so that it can learn to identify and classify different characters.
Once the model is trained, you can then use it to segment characters in new images. This involves providing the model with an input image and asking it to predict the labels for each pixel in the image. The model will then output a segmented image, with each pixel labeled according to the character it belongs to. This can be used to identify and recognize the different characters in the image.
One important thing to note is that semantic segmentation is not a perfect solution for character recognition, and it may not always be able to accurately identify and classify every character in an image. However, it can be a useful tool in certain situations, particularly when combined with other techniques, such as optical character recognition (OCR).
@Sant Gadge Baba Amravati University
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I want to work on emotion recognition data that will be analyzed on few subjects for an offline analysis. I have heard about OpenBCI a the most popular option but I do not think that it is cheap at $3400+ . I wanted to check if Muse and Neurosky that have a sampling rate of 256Hz/12bits are decent enough to report a study acceptable in good SCI/SSCI journals ?
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Hello everyone. I am working on a paper on facilitating affordance perception in e-learning design. I read a paper on emotional affordances and how they impact students' emotions in online learning. My question is does emotions or emotional affordances play a part in the recognition process of functional affordances since perception is a recognition process according to TACT theory?
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Hello Clement,
Students emotions in online education is an essential topic as affective procedures influence cognitive procedures of learning [1]. Are you focusing on automatic recognition or students emotions analysing text [2] or on the emotional enagement of students using e.g. motivational enhancement methods such as stories, narration, playful or gameful design [3]?
[1] Mystakidis, S. (2021). Deep Meaningful Learning. Encyclopedia, 1(3), 988–997. https://doi.org/10.3390/encyclopedia1030075
[2] Tsimaras, D. O., Mystakidis, S., Christopoulos, A., Zoulias, E., & Hatzilygeroudis, I. (2022). E-Learning Courses Evaluation on the Basis of Trainees’ Feedback on Open Questions Text Analysis. Education Sciences, 12(9), 633. https://doi.org/10.3390/educsci12090633
[3] Mystakidis, S., Filippousis, G., Tolis, D., & Tseregkouni, E. (2021). Playful Metaphors for Narrative-Driven E-Learning. Applied Sciences, 11(24), 11682. https://doi.org/10.3390/app112411682
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Is it possible to use Cas9 (WT) to perform CRISPR-screening with a sgRNA subpooled library (Addgene catalog number: 83971) designed to be used with dCas9 systems? Beyond mutations at nuclease domains (HNH and RuvC), is there any other difference between Cas9 and dCas9 enzymes that could lead to impairment of sgRNA recognition by Cas9 (WT)?
Thanks!
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There isn't a difference in the sgRNA binding between Cas9 and dcas9.
One thing you need to check is what is the library targeting, libraries designed for dCas9 are likely intended for CRISPRa/i type screen and as such are likely to target promoter which may not be optimal for a mutation based screen.
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I'm working on a project about palm vein recognition, and I need a dataset of palm vein images without a license agreement.
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Among the members of biometric identifiers, the palmprint and the palmvein have received significant attention due to their stability, uniqueness, and non-intrusiveness. In this paper, we investigate the problem of palmprint/palmvein recognition and propose a Deep Convolutional Neural Network (DCNN) based scheme, namely P a l m R CNN (short for palmprint/palmvein recognition using CNNs). The effectiveness and efficiency of P a l m R CNN have been verified through extensive experiments conducted on benchmark datasets. In addition, though substantial effort has been devoted to palmvein recognition, it is still quite difficult for the researchers to know the potential discriminating capability of the contactless palmvein.
Regards,
Shafagat
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We have aerial survey photos taken by a drone. Images are already in GPS - raster format. I would like to analyze (locate and count) structures - specific bird nests in reedbeds. Which would be the best software to do this, either self standing or ArcGIS/QGIS add-on. It would be some kind of software for shape recognition by machine learning.
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Check the module "Feature Extraction" by ENVI
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Basically one needs to get a journal article published to get recognition of one's work. How does one go about achieving this promptly and successfully?
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The answer to your question is very hard but important and to me, it depends on the requirements of your employer or institution. It depends on their requirements. Do they want it to be a published in a certain type of journal with a certain indexing or classification eg Pubmed/Medline. That would make it a bit harder. If that is not required specifically, it gives you a lot more options in some fields and most commonly, there are faster publishing times with some journals when you pay for submission or publication.
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Databases doesn't accept a duplicate entry but what about a similar entry of two similar photos can the deep face recognition figure this out and how about manipulation in the photo like flipping changing brightness and contrast can this affect the recognition ?
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Applying machine learning techniques to biometric security solutions is one of the emerging AI trends. Today I would like to share some ideas about how to develop a face recognition-based biometric identification system using OpenCV library, DLib and real-time streaming via video camera.
Regards,
Shafagat
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Hello,
Can anyone share with me a Health-dataset that is related to emotion recognition, datasets that contents of Text, Audio, Visual, and physiological?
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I want to compare recognition rate with other dataset, so that  I need  Isolated printed Arabic character datasets.
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During the recognition, It has a process of information matching. How does it match successfully despite some variation?
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Unlike the machine (computing devices) which goes pixel by pixel, the brain performs gestalt recognition. Based on (top-down) feedback from the brain, the eyes quickly focus on only what is the main object of interest and increases the resolution for the same. Based on its past learning of possible variations to other objects (in terms of views, noise, etc.), it makes an informed guess of the object even though there may be variations unseen before. If the accuracy of recognition is confirmed, the brain immediately learns the new pattern also, with its variation. However, with computer vision, you need to explicitly invoke the training session to add new patterns.
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Please let me know the name or URL of any comprehensive Bangla corpus data for SA or ER.
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I have a datasets which is comprised of skeleton XML files and RGB videos, I want to apply classification, my question is how we can use both data features as whole input?
I have seen papers based on RGB+Depth data.
Please direct me.
Thanks
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Hi,
I have been working on InHard Dataset, human action recognition for human robot collaboration. I use different machine learning algorithms on the dataset for segmented action recognition but the results I got is very poor. How can I publish results? There is no work on validity of dataset, just a single paper is published on the dataset description. Can anyone please guide me? Or please share any paper that did similar work (Poor results).
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A research outcome may have different dimensions. It can be either positive, negative, or both.
What matters most is the contribution of the research.
If the outcomes of your research make a significant contribution to the relevant domain, then whatever the result is, it can be publishable.
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Hi every one,
I'm a PhD student and I'm currently working on iris recognition.
I already investigated a new method of iris segmentation that you can find in this link : (http://www.sciencedirect.com/science/article/pii/S0957417416306741).
I need to know is there any method to create an electronic system or electronic card where i can implement my segmentation method ? card type, programming language, ...etc.
Thanks you.
Regards.
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Do you applied segmentation with threshold tecniques using the threshold and later mathematical morphology ?
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I did an experiment on emotion recognition in Psychopy. 60 videos were shown. At the beginning and end of each video, a trigger signal was sent from Psychopy to Biopac. This trigger signal indicates when the video starts and when it ends. Now to my question: In the analyze in Biopac I want to fix only the time interval in which the trigger signal was present (i.e. only the time in which videos were shown). How can I automatically fix these intervals in which the trigger signal is there?
How can I fix fixed intervals that are then analyzed? I want to fix exactly the intervals in which the trigger signal is present. Does anyone know more about this ?
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First, convert digital inputs to stimulus events. ("Analysis" - "Stim Response" - "Digital Inputs to Stim Evetns")
This marks "light bulb icons" at the beginning and ending points of your videos.
Then, find cycles using the light bulbs you've created. ("Analysis" - "Find Cycle" or Ctl+F.
This finds events you've marked on the graph.
("Cycle/Peak" - "Events" - "Start event: Stimulus Delivery; located on Global" - End event: Stimulus Delivery: located on Global")
Finally, save the outputs pulled from the highlighted cycles. Before doing this, physiological measures such as NS-SCR should be analyzed BEFORE finding cycles on the graph.
The only problem that I can see is that the beginning and ending points of the videos are marked on the same channel. Since Acqknowledge indistinguishable identifies the beginning and ending points as the same "stim events (light bulb icons)," not only "beginning to ending" intervals but also "ending to another beginning (I believe this is NOT what you want)" intervals will be highlighted as the cycles of your interest on the graph.
However, if the intervals between videos (ending to beginning) are longer/shorter than the duration of the videos (beginning to ending), you'll be able to filter those out AFTER getting the full outputs.
In summary, although the digital inputs of your data have been set up in a less ideal way, the above solution might still work for your data.
If you're more interested in "event-related" physiological responses (e.g., understanding how people responded differently to the different types of videos), the way you've set up your digital inputs is okay as it is now. The only thing you need to be careful of is to define the minimum and maximum separation rates appropriately (maximum separation rate is typically 8-10 seconds).
More information about the difference between non-specific and event-related analyses can be found in the following manual.
I hope this helps!
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Hello!
I have a sample health dataset that contains clinical notes and descriptions. I have applied for Name Entity Recognition (NER) over the dataset but do not feel the need for any information such as age, gender or address. I would like to apply the de-identification technique on top of the patient's clinical data. Would you please share with me some resources where I can get information on the implementation of de-identification using Python?
Thank you
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Thank you very much for this information, and I appreciate your valuable time.
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Hi,
does anybody have information that can share about pain recognition in bats?
Citable sources will be especially appreciated.
Thank you
Javier
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Hi Carl
thank you for your suggestion. I am aware of these books, but I don't have access to them, unfortunately.
Javier
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Does anyone get errors with using the Recognition part in " Scene Text Detection and Recognition by CRAFT and a Four-Stage Network" ?
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etecting and Recognizing texts for a given natural scene image using EAST and Tesseract Algorithms.
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Shafagat
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Hi,
I want to train a model for real time robot, I have a set of videos, want to train model for action recognition and model will be fed to robot to identify human actions. I never worked before for on video data. How should I start?
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Just so that I understand your setup correctly could you let me know the operating system being used? The reason is that all peripheral devices are controlled by the operating system kernel.
For example in Linux (which is what I use) I can communicate directly with the OS video interface (V4L) and do a program in C that extracts the frame in YUV format
An example of the C program is:
note that in the function init_device the resolution is set along with the format
fmt.fmt.pix.width = 640; fmt.fmt.pix.height = 480; fmt.fmt.pix.pixelformat = V4L2_PIX_FMT_YUYV;
With this properties and the read_frame function allows you to extract the particular frame and the process_image sends it to standard output. Instead of sending it to standard output you would need to send it to a function that converts the YUV signal to the required format for processing by your routines. The function will have to convert each of the values of YUV for the resolution specified to RGB in values from 0-255. the conversion in your function would need to do a translation to RGB using the formulas in:
Once you do this you will have a buffer that is 640*480*3 (the values above times the the R, the G, and the V values). If you just want greyscale array that is 640*480 you can use:
Grayscale = (R + G + B ) / 3.
then you will just have a buffer that is 640*480
At this point you can then use the frame for processing by the ML or you can resize it to the appropriate resolution.
This is just to give you the general idea. The same steps will have to be done in Python and whether it is Windows or Linux.
Note that some libraries will manage this process and convert them to AVI or MP4. Due to your real time constraints I would suggest that you do not waste processing time converting them and then decode them and waste time parsing the format structure.
Let me know
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A question about models of recall and recognition based upon personal experience:
I have had the experience of not being able to recall a specific words (I hate growing older ;) ), but still can pull up enough context to do a search for the word. But here has been my experience--before I begin to scan the results of the search I suddenly am able to recall the word; it is almost as if the mere act of beginning the scan there is some level of 'pre-activation' that enables me to recall, but it feels as a gray area between recall and recognition. Now, I have not been active in cognitive psychology for a while, but my quick research review has not provided insight. So for those cognitive psychologists out there, including developmental psychologists, as it seems to be there are developmental processes that must be at play here, is there a body of specific to these processes? Perhaps it is just me and not a more global process at all?
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I think the phenomenon you observed in yourself is not only common but has already been observed by Aristoteles, however it has been summarized in more specific theoretical frameworks in the 20th century.
Best,
Sven
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Dear colleagues,
I am struggling to get an acceptable Cronbach's alpha score for a scale on opportunity recognition. Opportunity recognition was measured using Nicolaou, Shane, Cherkas, & Spector’s 5-item scale (2009) with the answer categories ranging from “strongly disagree” to “strongly agree.” These scale questions are drawn from the literature on opportunity recognition (Ozgen & Baron, 2007; Singh et al., 1999). In order to get a Cronbach's alpha score that is acceptable, I need to eliminate items 4 & 5. How do I justify that in my write-up? Is there a better way to handle that?
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One way is to remove the outliers and recalculate the Cronbach. I am sure you have done that. The second method is to modify those items, do a pre-test followed by an FGD with the same respondents, and then pilot it for the reliability analysis.
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In the Domain of visual recognition tasks if imbalanced data is there our model gives poor performance?
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Interesting suggestion thanks a lot all!
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Transformation of industry economy
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Three factors are vital & these are organization factors, technology factors and management factors.
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What is optimal feature selection algorithms in visual recognition tasks?
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You can check these articles; they will help you to understand this.
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Following up on the previous question, linguists are still disputing how languages are organized in bilinguals’ minds: whether a speaker’s native and second languages are separate entities or whether they form an entity in their minds. Nobody can deny that both schools had empirical evidence to back up their claims. On the other hand, many linguists argue that the location of the language has little bearing on the production and recognition of words. The relationships between words in the mental lexicon are more important. Do you agree with this viewpoint?
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Given that the issue is the structure and organization of languages in the minds of bilinguals, the location of language in this context refers to whether L1 and L2 are located together or independently in a certain area of the mind. As mentioned in the discussion, there is a considerable body of literature on the topic, but no agreement has been reached. In addition, some scholars claim that this issue is peripheral, as it isn't important to the production and recognition of lexical units.
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I have a project in which I have given a dataset (more than enough) of 10-20seconds audio files (singing these "swar" / "ragas": "sa re ga ma pa" ) without any labels, nothing well in data ... and I have to create a deep learning model which will recognise what speech it is and for how long it is present in the audio clip (time range of particular "Swar" sa ,re ,ga, ma )
The answesr to questions that I am looking for are
1. how I can achieve my goal , should I use RNN , CNN ,LSTM or hidden Markov model or something else like unsupervised learning for speech recognition ?
2. How to get correct speech tone for Indian language as most acoustic speech recognition models are tuned for English ?
3. How to find the time range ?for what range particular sound with particular "swar" is present in music clip ? how to add that time range recognition with speech recognition model ?
4. are there any existing music recognition models which resembles my research topic ? ,if yes please tag them .
I am looking for full guide for this project as it's completely new and people who are interested to work with me /guide me are also welcome .
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I am working on phoneme recognition. Is there any dataset of sound files for each phoneme class?
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We are really curious to see if there is anyone else here who is working on Artificial Intelligence and anxiety? If you are, please share your work here. Thank you! Here are some of the work we recently completed and some of the media coverage our work got:
#Artificial intelligence
#Anxiety
#Anxiety Measurement
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Researchers are using artificial intelligence (AI) to detect behavioral signs of anxiety with more than 90 percent accuracy, and suggest that AI could have future applications for addressing mental health and well-being. Their research is published in the journal Pervasive and Mobile Computing Gulnaz Anjum
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In speech based emotion recognition, for individual artists almost get 90 percentage of accuracy using neural network, but accuracy is decreased up to 70 percentage for entire speech corpus.
How can I increase accuracy?
My speech database contain 10 artists.
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Interesting topic.
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Is the South African Department of Basic Education providing enough assistance and recognition to student teachers who are preparing to become future teachers in South Africa?
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Please any one tell me
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I think Convolutional Neural Network CNN and its variants are dominant in this topic.
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For many smart road applications, objects detection and recognition are one of the most important components. Indeed, precise detection of road objects is a critical task for autonomous urban driving and robotics technologies.
Actually, we are working on the conception of a smart system that consists in detecting and blurring undesirable road objects to anonymize and secure road users.
In this context, we want to know what are the up-to-date methods (Neural approaches, etc.) used for the detection and recognition of road objects (humans, vehicles, license plates, etc.) ? Any ideas ?
Greatly appreciate your review
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Dear Prof. Wissam Kaddah,
I have the following research in this area:
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Hi, I am new (next to zero experience) to circular dichroism. Can anyone tell me what secondary structure is associated with the following CD spectra? After some reading, I found this article and assume it is anti-right-twisted beta strand. If anyone agree or otherwise, please explain, and maybe you could also tell me how to properly read a CD spectra.
Thanks!
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Looking at the resemblance it might be, but things like aggregation might explain the low signal at shorter wavelengths and could lead to another conclusion. Personally, I would check whether the CD analysis makes any sense, the sequence of your protein or peptide can be used for structure prediction, there are numerous programs for this. Obtain the so-called FASTA form and start with prediction methods:
-First try secondary prediction methods like PsiPred. It is common practise to use at least two different methods:
SOPMA:
Porter5:
JPred4:
-Also try (provided that there is no X-ray structure) 3D prediction might be considered, I-TASSERis one of the best methods for this purpose (and result in a pdb file which can be used for further analysis). See for an example:
Identification of Possible Lipid Binding Regions in Food Proteins and Peptides and Additional In Silico Analysis
-Possible alpha-helix regions can be further analysed by Heliquest and renders helical wheel plots and all sorts of physicochemical data (like an idea on whether you deal with a hydrophobic peptide/protein region):
Article HELIQUEST: A web server to screen sequences with specific α-...
One need to keep in mind that predictions have a certain degree of uncertainty (or put in more positive words an accuracy of round 90%), so intrinsically it is possible that your protein is an exception, and the predictions are not entirely accurate. Therefor experimental confirmation is necessary for example like your circular dichroism approach. However, ‘simply’ put protein in buffer and measure might not always render relevant data. Possible influence of difference in variables like pH, ionic strength, temperature etc. need to be checked. Also, for example the absence or presence of anionic phospholipids can dramatically affect the secondary structure, see for example:
Article Anionic phospholipids are essential for α-helix formation of...
Chapter Characterization of helical structures in gelatin networks a...
In the ideal world the predictions and experimental data are in line. You might have to consider other tools like FTIR, NMR, ESR etc. as well.
Bet regards.
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We can connect you with fellow researchers. We provide fair pay and recognition for supporting your peers.
Become a Peerwith expert
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I appreciate this great effort, and I hope to join you, but it is possible to know a biography of the work, as well as your presentation of a comprehensive plan on the most important achievements and humanitarian psychological works that serve patients or those who need them, because as you know, we have a duty towards the right of every patient. Therefore, we are obligated to offer our sincerity to work before God Almighty, and before those who need guidance and psychological treatment.
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Hello everyone,
I am just working on my master thesis and for this I am planning to find out the localization of a gene, transfected into HEK293 cells. One idea of mine was to digest the genomic DNA with the enzymes SspI, NheI, SpeI and AvrII. The known sequence of my insert will be digested by SspI and on the other hand digest the unkown genomic sequence with NheI, SpeI and AvrII, which produce compatible cohesive ends. In the next step I want to ligate linkers to the sticky ends, and perform a PCR on this template with the primers binding in the linker, so that finally the genomic DNA gets amplified.
To see whether this setup could work I wanted to perform a model experiment on an already modified HEK293 strain, which already obtained the SspI recognition site and the localization of the insertion site is known. But when I checked the genomic flanking sequences, there were no recognition sites for NheI, SpeI and AvrII within the downstream 5000 bp and a subsequent PCR is not really possible. Accordingly, I think my setup for the genome walking is not optimal chosen. Has anybody an idea which restriction enzymes can lead to appropiate results?
Thanks for the help.
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For example AI can automate processes in the initial interpretation of images and shift the clinical workflow of radiographic detection, management decisions. But what are the clinical challenges for its application?
#AI #cancer #clinical #oncology #biomedical
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The first is the sample size issue, a predictive model are trained and built with limited imaging data from a particular hospital or region; this has to face bias caused by various factors when dealing with a wider range of diagnoses; it may not be adaptable when making diagnostic decisions for images from other regions.
The second is the inability to balance the patient's treatment intentions, the patient's financial situation, and different regional customs when making treatment decisions.
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  1. HAR dataset - human activity recognition I have used.
  2. What is the impact of activity recognition if the dataset is having small number of features?
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You may encounter over-fitting which may impede accurate identification of unseen features.
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If you have a recommendation of someone and a summary of the importance of their contribution to science, I would like to learn of these great researchers.
I ask because I found out only recently that my very first research advisor, Dr. Bob Behringer, had passed. He was an amazing, personable figure in granular materials physics and his story is here: https://today.duke.edu/2018/07/physics-professor-robert-p-behringer-dies-69. I was recommending his research to a colleague who had a question about force chains and that's when we learned the news. He was only 69 but he had been a part of the Duke University community for nearly 50 years.
It was too late for my colleague to ask Dr. Behringer his question, but maybe this discussion will help raise awareness of some influential research from some great people. Maybe we can reach out to them with our questions before it is too late. And if it is too late because they have recently departed, their work will live on through those who know about their research.
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your idea is perfect. the world is full of these wonderful people that are expert on their works but I feel sorry that I can't become one of the student of them.
for everyone that works on seed topics, I'd like to introduce prof Gerhard Leubner in Royal Holloway, University of London who I have cheched his works for a long time and I love him by my heart .
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Dear colleagues, I am working on a project of Object detection with Bounding box regression (on Keras, TensorFlow), but I can't find decent sources and code samples. My task involves 200 classes, and each picture can contain from 10 to 20 classes that need to be detected. A medical task, more precisely, the recognition of types of medical blood tests.
I fixed some works that are close to mine. But I want to implement my task for the Russian language and on the KERAS & TensorFlow framework. I am sincerely grateful for any advice and support!
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  1. I have worked on HAR and HAPT UCI datasets for human activity recognition which has 561 features.
  2. But with a huge dataset of low dimensional space (2 or 3 dimension), can we do activity recognition and what will be its impact?
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Last Tuesday (8), exactly on World Oceans Day, the US National Geographic Society cartographers decided to present planet Earth with another ocean by adding the Southern Ocean, which surrounds Antarctica, to its four "brothers" older Atlantic, Pacific, Indian and Arctic.
According to Seth Sykora-Bodie, a marine scientist at the US National Oceanic and Atmospheric Administration (NOAA), while it's hard to explain what's different about the region, “everyone will agree that the glaciers are bluer, the air cooler, the mountains more intimidating and the landscapes more captivating than anywhere else you can go,” he told National Geographic.om another ocean by adding the Southern Ocean, which encircles Antarctica, to its four older “brothers” Atlantic, Pacific , Indian and Arctic.
NOAA's official geographer Alex Tait also spoke to the NatGeo website, explaining that official recognition just didn't happen before because “there was never an international agreement”. “It's kind of a geographic geek in some ways,” he summed up. But as of June 8, 2021, the nerd is over: the Southern Ocean is officially the fifth ocean on Earth.
Although the difference between sea and ocean is clear, the size, it is still difficult to say exactly what an ocean is, other than to repeat that they are more extensive liquid masses (the smallest of them is 73 million square kilometers) and deeper. The Spanish navigator Vasco Nuñez de Balboa already recognized, in the beginning of the 16th century, that those waters at the bottom of the world were the "Antarctic Ocean".
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Good question! but it is out of my field.
we follow to learn from experts. Good luck!
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I would like to used to use sumo protease. However, I did not find the sequence that the protease recognizes in order to order a plasmid with this sequence? and the information available on the internet using these sequences for many other purposes that make me confused about the function of this protease as a protein fusion domain ??
Anybody has ever used the SUMO as a cleavage protease? it is someone who did could you please share with me the recognition sequence or the paper, please. Thanks
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The SUMO-tag/SUMO protease system is special because it does not have a particular short recognition sequence (like other proteases) for the protease but the whole SUMO protein is needed to make the protease cut at the Gly-Gly-site at the end of SUMO right before the first amino acid of the target protein (can be any amino acid except for proline). You can contact the EMBL Protein Expression and Purification Core Facility where you can get an expression vector.
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Check some journals in MDPI, Taylor and Francis, Springer, etc.
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Hello everyone,
I am working on a project which includes object recognition, currency recognition, text to speech, and location of the user. In order to perform the currency recognition of Pakistan's currency, I'd need a lot of data and computing resources to train a model, but unfortunately, I don't have access to either of these.
So, I just wanted to know whether there is an open-source pre-trained model that I could use for my project?
Any help would be appreciated.
Thank you.
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What is the best way to take the features of image i.e. edges, shapes, corners included in Character recognition?
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Hi
there is no direct algorithm used for all applications
But as an example you can apply DCT and DWT to extract features.
Regards
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In the early childhood music education, The reading ability of piano score will affect the learning ability and interest. Are there any effective methods or activity that can be applied to general teaching activity?
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How about designing an APP, which is basically a game, connected to a MIDI keyboard, wherein, if the player hits the right keys, the game progresses, while playing the correct music.
Similar to this, only for 2 hands, and with the right melodies (could input MIDI)
Also more examples here:
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One interpretation includes the following explanation:
Application of computer science and technology, special purpose scanners, for recognition of signals obtained by excitation of magnetic fields in electrotechnical devices, apparatus and measurement.
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Vishnu Kumar Gupta's
Additional question:
What does UDC 004.6:004.86 mean?
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Hi
I would like to make a program that can recognize some patterns in an image and measures the size of it. I only have basic programming knowledge, and I have never done any image recognition analysis before. Does anyone have a suggestion which programming Language should I use and maybe some tutorials that can point me to the right direction?
More specifically I want to detect pronuclei inside a human embryo and measure the size of it. I have attached a Picture.
Thanks
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I strongly recommend Matlab
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What is the potential of blockchain technologies (DLT) in the field of e-government, and in particular for procedures for recognition of credentials? If so, what are the specific hurdles in implementing a DLT-based solution in the context of e-administration at transnational level? I recently published a research article on blockchain, e-government and recognition which you can access and download at: (published by Elsevier, in Research in Globalization).
The fact is that beyond bitcoins and some Fintech applications, DLT / BC has led to encouraging use cases in some transnational administrative procedures, e.g. recognition of qualified exporters in the context of customs procedures, or in the field of government procurement bids. But for now that's about it. Are there other example of transnational administrative procedures where BC use cases could be developed? In my article I examine what are the opportunities and challenges of using the DLT /BC in the context of official recognition of foreign diplomas (diplomas earned abroad) by governments. Now I wish to ask the views on that from the RG community of researchers.
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Many thanks
Jaroslav Dvorak
, I also came to the conclusion that there is a reluctance by states to adopt new technologies in their procedures for official recognition of foreign qualifications. But isn't that odd at a time where all governments are talking about digitization of their services to citizens and e-administration? I think it is worth deepening where the obstacles are: on the administration side or on the technology developer side?
Best regards
Christian
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Hi all.
I have a set of coordinates of bounding boxes for AVA Dataset. This dataset is used in action recognition. My goal is to get the areas around the people (people are inside boxes) and do saliency on those areas. How can I obtain those regions? When the person boxes are cropped how can I get the regions remained?
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Dear Sahar Pordeli Behrouz,
This link may answer your question,
Regards,
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Natural language understanding
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A Unified Architecture for Semantic Role Labeling and Relation Classification Jiang Guo, Wanxiang Che, Haifeng Wang , Ting Liu and Jun Xu
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Hello everyone, im currently working on a recognition system. I have a folder full of images and I need to convert the whole folder to .h5 file. this will help me with the next step in recognition system. How do I create one to proceed?
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How to create a HDF5 file from a directory of training images and a directory of validation images
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Hello everyone,i am young researcher,looking for MATLAB code on emotion recognition using EEG SIGNAL(SEED DATASET)?
Thank you
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I think the best solution is to search for any similar project, even if it uses a different feature, and then understand the project and write your own code related to your data.
I think any other project even in ECG or EMG will be fair enough to get the concept of classification and digital signal analysis.
I recommend you this link from the Matlab website that explain the basic concepts that you need to analyze any biosignal information.
I hope this answer can help you
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Hello, everyone!
I am a bachelor of software engineering (undergraduate) and I am currently conducting a research on the emotion recognition, and I need some help with the starting material. I found a lot of articles on that topic. But still I am just starting studying and I want to get some recommendations on books, articles or/and courses to create emotion recognition software program.
Also I am interested in physiological aspects of emotion recognition, so I will be grateful for some physiology materials too.
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I recommend doing a literature review on two specific databases SCOPUS and WEB OF SCIENCE. There you will find a lot of research directed to your area of knowledge regarding the Psychology of Emotions.
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Hi, is anyone familiar with a model/theory of memory recall and recognition in math education? Thank you
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For a start, try George Mandler's 1980 article in Psychological Review entitled Recognizing: The Judgment of Previous Occurrence.
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I have attached the files with this post to explain me how to remove rotation and center the origin at the body's local coordinate. This is just one sample and I have 1000s of files like this. I am working on a project based on affect recognition using autoencoders. I have been looking for sources to normalize the 3d data to make it suitable for training, but still I am struggling with removal of rotation and centring the origin. Please also refer to video to have an idea about the data.
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Khristian Edi Nugroho Soebandrija what it means to refer to baseline?
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What are the next steps in speaker identification after we extract the MFCC features? Thank you so much.
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My plasmid (pJET1.2) contains an insert of around 2969bp. The total size of plasmid 5942 bp. I am cutting it with AhdI, SgrAI and BssHII. Desired bands are of 2969, 1632 and 1432bp. I want to clone 2968bp gene. But I was getting bands of 3000,1550, 1350bp and also very light band of 625bp. when I gel-purified 3000bp band and run on gel then it was showing an extra band of 2700bp. Somehow I was able to clone this 3000bp but colony PCR shows a band of 2700bp instead of 2969bp. Also, RE confirmation shows a band size of 2700bp instead of 2969bp. Please anyone help me to solve this problem as I have repeated the experiment with so many times but getting similar results. My insert contains secondary sites that are similar to the recognition site of SgrAI but not exactly similar.
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As Reza said, the mobility difference between 2700 and 2969 may be hard to distinguish on an Agarose gel. It sounds like the primers that you are using for colony PCR are both on your vector; without spending much money, you could order a primer that binds to your insert and perform a colony PCR using a forward primer on your insert and a reverse primer on your vector-- This would at least answer if the 2700 band is your insert or not, which may assist your troubleshooting. If it is indeed the correct band and you don't have the resources to redesign this study, you could try to shorten your restriction enzyme digestion time or see if the manufacturer of your SgrAI and BssHII enzymes has a recommendation for buffer additives or alternative buffer formulations that reduce star activity.