Science topic

Attitude - Science topic

Attitude is an enduring, learned predisposition to behave in a consistent way toward a given class of objects, or a persistent mental and/or neural state of readiness to react to a certain class of objects, not as they are but as they are conceived to be.
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In my opinion, if plowing is done CORRECTLY, then the problem of restoring soil fertility can be solved.
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Following are the reason.
1. When ploughing and tilling through the fields, the plants in the top layer of the fields rot and decompose, producing and releasing carbon dioxide and methane in the process.
2. If ploughing is manually then it is dangerous to human as well as animal. sometime snakes are also found in the field.
3. Relying on tractors to bear oil pressure during transport is extremely hazardous. Escaping hydraulic oil is highly dangerous and will easily.
4. If ploughing by tractor the hydraulic/mechanical operation are there.
5. Harmful dust generates in ploughing operation; PPE/dust mask must be used.
6. Cylinder locks are a safe and easy way to prevent hydraulic oil accidents or the accidental lowering of plow equipment, both of which often lead to serious personal injury.
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Since I'm a physicist but not a climate researcher, I can't say much about the technical points. However, what bothers me is the way the data is presented. For example, the instrumentally measured temperatures are displayed in a diagram with reconstructed curves. My main problem is that the IPCC is studying the human-caused climate change. The investigations are therefore not open-ended. There is also a very strong link between politics (195 governments are members of the IPCC) and science. Historically this was not good.
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The relationship between atmospheric changes and global temperature change is not of a one-way cause-effect type. This kind of one-way reasoning, in one sense or another, is IMHO incomplete: just consider that changes in global temperatures (due to transfers at the interfaces lithosphere-hydrosphere-atmosphere) have, in their turn, direct effects on atmospheric changes via, evapotranspiration, photosynthetic activities, gases solubilities in the hydrosphere, partial pressures in the atmosphere. All these phenomena are physically well-described. All climate parameters, without exception, are interdependent and correlated in space and time and non-linear ways (depending on the initial conditions of all the variables at all points of the globe).
Here is the Table. What do we have in front? We have scientists who want to understand how this monster evolves and are struggling to make intercorrelations resulting from the laws of thermostatics valid in a laboratory situation on parameters averaged above all or part of the planet!
This said the nagging question would be: Is it admissible to describe even on average such a system from the point of view of thermostatics?
The subsidiary question would be: how and with what tools are we examining and analyzing these data to drive conclusions and interpretations? The fact that these analyses lead to numerous interpretations that are different is absolutely normal and mathematically expected. It shows at least one mathematically obvious truth.
The answer would be: This should lead us to admit that more fundamental research to develop mathematical tools is needed to improve our knowledge of the driving forces that control the climate in order to build more accurate meteorological and climate models. On the other hand, advances in the study of complex systems (which include GCMs and ESMs among others) have been rewarded with the 2021 Nobel Prize in Physics.
See also:
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Although Buysse et al. (1989) declare that 'A global PSQI score > 5 yielded a diagnostic sensitivity of 89.6% and specificity of 86.5% (kappa = 0.75, p < 0.001) in distinguishing good and poor sleepers.", many researchers regard value 5 as poor sleepers. However the symbol ">" means greater than, not equal to and greater than as symbol "≥". So in this case i would score value 5 as good sleeper. What's your opinion? Thank you!
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Hello
Since a score greater than 5 is reported as poor sleep and a score less than 5 is reported as good sleep, it increases the caution on the score of 5, because with an interview and a few questions, we can report good or bad sleep with certainty.
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Mathematically, it is posited that the cosmic or local black hole singularity must someday become of infinite density and zero size. But this is unimaginable. If an infinite-density stuff should exist, it should already have existed.
Hence, in my opinion, this kind of mathematical necessities are to be the limiting cases of physics. IS THIS NOT THE STARTING POINT TO DETERMINE WHERE MATHEMATICS AND PHYSICAL SCIENCE MUST PART WAYS?
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Many times I read interesting papers presenting analyses and decisions on Real Cases (with data) to support the “theory” BUT NO data are provided.
In such cases there is NO possibility to analyse anything: “Take it or Leave it” situation very upsetting!
In my opinion it is rather dishonest this behaviour.
I would like to know the opinion of the scholars in RG about such papers presenting analyses and decisions with NO data…
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NOBODY has anything to say...
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I have done a study using DAI-10, GASS and BPRS scales. BPRS scale is an open scale. But DAI-10 and GASS scales could be used without permission for dissertation purposes only. If the study needs to be published in a journal, GASS and DAI-10 scales require permission from developers.
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Hi Amal, I have not gotten a response from the developers of the DAI-10 though I sent an email to them a couple of months ago. My publication is getting delay because of this issue.
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I would like to know your thoughts on these social challenges
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I would imagine one issue would be non-continuous use. Such as, remaining in an area or group of people that do not practice the second language.
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´Variables. Independent, Religiosity, Knowledge, Attitude, Subjective Norms, Perceived behavioral control, Islamic Banking, Shariah Compliant Investment
´Dependent, Islamic Financial literacy, Islamic Microfinance,
´Mediating Variable. Attitude
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According to the Muslim Religious principles that women used to say that money is the property of men who has to handle among responsibilities.
This shows that attitude of the Muslim women due to their religion dogmas and cultural traits have made them to be dependent financially.
Women don't ito be independent in the financial status due their religion and mental behavior too.
Even though this could be the practices are being continued over the centur.
The modern Muslim women have drastically changed because of Education.
Islamic Banking loan do not have interest because of the Islamic principles.
It is all about the mental attitude of the Muslim women have to follow the old tradition or break up the old dogmas, ideas and principles etc.
It is very clear distinction that in the case of Pakistan, the educated women have radical thinking about innovation and intelligency in succeeding their efforts and attempts in general.
Individuality makes the woman to be independent financially.
Pakistan women half of them have not educated so it is to be identified by conducting the research to find out the ground reality in the villages or sub-urban centres.
I think that this situation exists in rural Pakistan because many women have educated in abroad have great hope of breaking the barriers of the traditional practices.
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in the same construct or variable I asked questions answerwed by Lickert scale and others answered by yes, no. Is it Statistically correct?
Thank you
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You could have done the same but use Likert scale.
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I want an accurate scientific explanation.
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Thank you very much for your valuable ideas Dr. Aparna Sathya Murthy .
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Preliminary Professional Opinion
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Most likely the construction was interrupted by an external factor. Can you please share a link for this case if any?
Thank you.
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There are two different dependent variables (both data are ordinal).
Variable A is the "working performance of an institution in garbage management"
Variable B is "society participation, which is shown by the attitude toward garbage handling"
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Analyzing the correlation between two different dependent variables, both of which are measured on an ordinal scale, requires specific statistical techniques. Ordinal variables are categorical variables with a natural order or ranking but do not have a fixed interval between categories, making traditional correlation measures like Pearson's correlation inappropriate. Instead, you can use non-parametric tests and measures to assess the relationship between these variables. Here are steps to analyze the correlation between two ordinal dependent variables:
  1. Data Preparation:Ensure that your data is appropriately structured, with each case having values for both ordinal variables of interest.
  2. Visual Inspection:Start by creating visualizations, such as a clustered bar chart or mosaic plot, to get an initial sense of the relationship between the two ordinal variables. This can help you identify any patterns or trends in the data.
  3. Non-Parametric Correlation Coefficient: Use a non-parametric correlation coefficient appropriate for ordinal data. The most commonly used measure is the Spearman's Rank-Order Correlation (Spearman's rho or ρ). This method ranks the data and calculates the correlation based on the ranks rather than the actual values. It assesses whether there is a monotonic relationship between the two variables.Calculate Spearman's rho using statistical software or packages like R or Python. The coefficient can range from -1 to 1, with -1 indicating a perfect inverse monotonic relationship, 0 indicating no monotonic relationship, and 1 indicating a perfect positive monotonic relationship.
  4. Hypothesis Testing:Conduct a hypothesis test to determine if the correlation is statistically significant. You can use a significance level (alpha) of your choice (commonly 0.05). The null hypothesis typically states that there is no significant correlation between the two ordinal variables.
  5. Interpretation:Interpret the correlation coefficient's magnitude and direction. A positive correlation suggests that as one ordinal variable increases, the other tends to increase, while a negative correlation suggests that as one variable increases, the other tends to decrease. The strength of the correlation is indicated by the absolute value of the coefficient.
  6. Caution:Keep in mind that correlation does not imply causation. Even if a significant correlation is found, it does not prove that one variable causes the other; it only suggests an association.
  7. Consider Additional Analyses:Depending on your research questions, you may want to perform additional analyses, such as regression analysis, to explore the relationship further or control for potential confounding variables.
  8. Report Results:Clearly report the results of your analysis, including the correlation coefficient, its statistical significance, and any relevant visualizations, in your research report or paper.
Remember that ordinal data may not fully capture the underlying relationships between variables, and the strength of associations may be limited compared to interval or ratio data. Nevertheless, Spearman's rank-order correlation is a valuable tool for exploring and quantifying the relationship between two ordinal dependent variables.
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In my opinion some publications like review articles and meta analysis do not need to present an ethical clearance certificate to be published. I am asking about articles using patient data from registries and other simple study designs if can be exemted from the ethical clearance certificate. Looking forward to reading your experience and discussion.
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A systematic review article might not require ethics clearance since you are only selecting published articles (which already obtained ethics approval) and you are not directly processing any personal data. On the contrary, if you indeed use patients' data on your own, then you need to have ERB approval. If you are processing data in the EU, or conducting a study targeting EU patients in collaboration with an EU university, you need to comply with GDPR.
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PLANCK ERA / QUANTUM ERA and “DISAPPEARANCE” OF PHYSICAL CAUSALITY: FALLACIES FROM “OMNIPOTENCE” OF MATHEMATICS
Raphael Neelamkavil, Ph.D. (Quantum Causality),
Dr. phil. (Gravitational Coalescence Cosmology)
Cosmologists and quantum cosmologists seem to be almost unanimous (but happily today, a bit decreasingly unanimous) that, at the so-called level of the Planck era / quantum era of the original state of the big bang (of our universe, or of an infinite number of such universes existent in an infinite-eternal multiverse – whichever the case may be), where all forces are supposed to be unified or quasi-unified (but always stated without any solid proof), (1) either there did not exist and will never exist causality, (2) or any kind of causality is indistinguishable from the normal course of physical existents.
Is this sort of cosmological theorizing acceptable, where (1) the unification is supposed but is not necessarily physical-ontologically presupposable, and (2) causality and non-causality are taken in the mood of dilemma? This sort of theorizing is, of course, based on some facts that most physicists and other scientists agree on without much effort to search for causes of approval or disapproval.
But the adequacy of such reasons for this conclusion is questionable. The manner of concluding to non-causality or indistinguishability of causality and non-causality at spots in the universe or multiverse, where all forces are supposed to be unified or quasi-unified, is questionable too. The main reason is the lack of physical-ontological clarity regarding the status of causality and the status of unification of the forces.
In my opinion, this is based on the inevitable fact that whatever the mathematics automatically prescribes for such situations can be absolute only if all the parameters, quantities, etc. that have entered the equations are absolute. The prescribed necessity condition has not been the case in the physics that goes into the mathematical formulation of the said theory.
Even concerning the measurement that humanity has so far made of the speed of light is not exact and absolute. The reason for the fantastic cosmological conclusion regarding a volatile decision for or against causality and regarding a supposed verity of the supposition that all forces are unified therein, does not possess an adequate mathematical reason, and of course not a sufficiently physical.
The reason I gave is not strictly and purely mathematical, physical, or just generally philosophical. It is strictly physical-ontological and mathematical-philosophical. Things physical-ontological are not “meta-”physical in the sense of being beyond the physical. Instead, they treat of the preconditions for there being physics and mathematics. They being pre-conditions, not respecting them leads to grave theoretical problems in mathematics, science, and philosophy.
Hence, in my opinion, fundamentally mathematical-ontological and physical-ontological presuppositions and reasons are more rationally to be acceptable for the foundations of mathematics and physics than all that we have as strictly mathematical and physical in the name of foundations. I give here the obvious in order to assure clarity: I presuppose that physical ontology consists of the necessary presuppositions of anything dealt with in physics, astrophysics, cosmology, and other purely physical sciences, and of course of the mathematics and logic as applied to existent physical things / processes.
The main reason being considered for the so-called non-causality and indistinguishability between causality and non-causality at certain cosmological or physical spots seems to be that space and time could exist only with the big bang (or whatever could be imagined to be in place of it), whether just less than 14 billion years ago or doubly or triply so much time ago or whatever.
First, my questions on this assumption are based on an antagonism that I have to cosmologists lapping up the opinion expressed by St. Augustine centuries ago. That is, if space and time “exist” only if and from the time when the universe exists, then the question of space and time before the expansion of the universe is meaningless. These cosmologists presume that the expansion of the universe was from a nullity state, and that hence it could not have existed before the beginning of the expansion. What if it existed from eternity like a primeval stuff without any change and then suddenly began to explode? This is the basic premise they seem to hold, and then conclude that time, as an “existent” now, would not have existed before the expansion! What a clarity about the concept of existence! Evidently, this is due to the gaping absence of regard for the physical-ontological presuppositions behind physical existence.
Secondly, as is evident, some of them think that space and time are some things to exist beyond or behind all the physical processes that exist. Thus, some identify space even with ether. If we have so far only been able to measure physical processes, why to call them as measures of space and time? Why not call them just as what it is, and accept that these are termed as space and time merely for ease? After all, whatever names we give to anything does not exist; and we have not seen space and time at all.
Thirdly, is it such a difficult thing for scientists to accept the lack of evidence of any sort of “existence” of space and time as background entities? Einstein spoke not of the curvature of existent spacetime, but of the mathematical calculations within a theory of the measurementally spatiotemporal aspect of existent physical processes as showing us that the measurementally spatiotemporal aspect of the physical processes – including existent energy-carrier gravitational wavicles – is curving within mathematical calculations.
Now, if the curvature is of existent processes (including existent energy-carrier gravitational wavcles), then, at the so-called primeval spot in each existent universe (even within each member of an infinite-eternal multiverse containing an infinite number of finite-content universes like ours) where all forces are supposed to be unified or quasi-unified, there cannot be a suspension of causation, because nothing existent can be compressed or rarefied into absolute nullity and continue to exist.
This demonstrates that, even at the highly condensed or rarefied states, no existent is nothing. It continues to exist in its Extended and Changing nature. If anything is in Extension-Change-wise existence, it is nothing but causal existence, constantly causing finite impacts.
Why, then, are some cosmologists and theoretical physicists insisting that gravitons do not exist, space and time are entities, gravitation is mere spacetime curvature, causality disappears at certain spots in the cosmos (and in quantum-physical contexts), etc? Why not, then, also say that material bodies are merely spacetime curvature and cannot exist? Is this not due to undue trust in the science-automation powers of mathematics, which can only describe processes in a manner conducive to its foundations, and not tell us whether there is causation or not? I believe that only slavishly mathematically automated minds can accept such claims.
Examples of situations where causality is supposed to disappear are plenty in physics. More than century of non-causal interpretations within Uncertainty Principle, Double Slit Experiment, EPR Paradox, Black Hole Singularity, Vacuum Creation of Universes, etc. are clear examples of physicists and cosmologists becoming prey to the supposed omnipotence of mathematics and their unquestioning faith in the powers of mathematics.
It is useless, in defence of mathematics and physics, to cite here the extreme clarity and effectiveness of mathematical applications in instruments in space-scientific, technological, medical, and other fields. Did I ever question these precisions and achievements? But do the clarity and effectivity of mathematics mean that mathematics is absolute? If they can admit that it is not absolute, then let them tell us where it will be relative and less than absolute. Otherwise, they are mere believers in a product of the human mind, as if mathematics were given by a miraculously active almighty space and time.
All physicists need to recognize that all languages including mathematics are constructions by minds, but with foundations in reality out-there. Nothing can present the physical processes to us absolutely well. Mathematics as applied in physics (or other sciences) is an exact science of certain conceptually generalizable frames of physical processes. This awareness might help physicists to de-absolutize mathematical applications in physics.
Fourthly, the above has another important dimension. Physics or for that matter any other science cannot have at its foundations concepts that belong merely to the specific science. I shall give an example as to how some physicists think that physics needs only physical concepts at its foundations: To the question what motion is, one may define it in terms allegedly merely of time as “the orientation of the wave function over time”. In fact, the person has already presupposed quantum physics here, which is clear from his mention of the wave function, which naturally presupposes also the previous physics that have given rise to quantum physics.
This sort of presupposing the specific science itself for defining its foundational concepts is what happens when concepts from within the specific science, and not clearly physical-ontological notions, come into play in the foundations of the science. Space and time are measuremental, hence cognitive and epistemic. These are not physical-ontological notions. Hence, these cannot be at the foundations of physics or of any other science. These are derivative notions.
It is for this reason that I have posited Extension and Change as the primary foundational notions. As I have already shown in many of my previous papers and books, these two are the only two exhaustive implications of the concept of the To Be of Reality-in-total as the totality of whatever exists.
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Greetings and courtesy
Thank you for your attention, love and guidance
When we examine an event over time.
There is no crime, no specific location.
Like taking a photo with an open aperture camera.
We only see waves.
Graviton has a meaning over time, like the curvature of space and time.
Space and time are objects to identify our position. They do not exist in reality.
The truth is only in our mind. A set of pulses that are fired on a mathematical basis.
In your language (hello) is a different word in my language. But in terms of pulse and storage location in the brain, they are completely similar.
From our point of view, the world is not perfect. Because we are not perfect beings. Our only tool is mathematics, not physics.
Time must be removed from physics equations. The truth lies only in mathematics.
In the quantum world, there is no time for objects. What is the lifetime of an electron?
Of course, this view is only a point of view.
Forgive my boldness.
Yours sincerely
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Many faculty members are facing this problem while applying for Assistant Professor 7000 and 8000 AGP (not getting shortlisted due to experience of not from NIRF Rank Institute or government institute) whereas faculty member have one or two degree from IIT's. Also, they are facing problem with age criteria (Less than 35 Years). Do you thing it should be change or it is good. Kindly comment on it.
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Also, if you do postdoc from a university with qs ranking less than 500 and do not publish anything, your experience will be counted. However, if you do postdoc from university with qs ranking higher than 500 and publish 2-3, Q1 publications,your experience will not be counted.
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How macroeconomic will be on the forth coming future, and how will be dominated by either better or worse condition
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Hai Doc, I saw your question and let me try to answer, but really appreciate if you could click the RECOMMEND button for my research papers under my AUTHORSHIP ya. The answers to your questions as below :
While both optimistic and pessimistic factors will influence the long-term macroeconomic outlook, I believe optimistic factors may dominate if the right policies are put in place globally. Some of the key points:
Optimistic factors:
Continued innovation in technology which has long been a driver of productivity gains and new industries. Emerging fields like AI, robotics, biotech could revolutionize economies if responsibly guided.
Growing populations in certain regions requiring more jobs, infrastructure, resources to meet demand which provides opportunities. An increasing global middle class also expands consumer markets.
Transition to renewable energy and more sustainable systems may open new sectors and make economies more resilient long-term by addressing environmental challenges. Cost competitiveness of 'green' solutions is rising.
Connectivity between people and markets via internet/social media allowing sharing of ideas globally and coordination on issues in real-time. Can help generate grassroots momentum for positive reforms.
Pessimistic factors:
Inequality may rise further if economic growth benefits few while many struggle, weakening aggregate demand. Political instability can emerge from such divisions.
Environmental degradation causing more extreme weather, resource conflicts if not mitigated. Climate change impacts likely to damage certain regions' production over time.
Debt levels remained elevated in many countries leaving less capacity to adequately respond to sudden downturns.
Geopolitical risks like conflicts, refugees flows, pandemics can significantly disrupt trade/investment networks which economies increasingly rely on.
On balance, I believe the optimistic factors will dominate if coordinated global efforts are made towards sustainable development, greater social cohesion, and geopolitical cooperation. The potential rewards of emerging technologies are enormous but must circumvent pitfalls to optimize benefit for humanity. With prudent long-term planning, many risks could be successfully mitigated to safeguard prosperity.
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"Substitution of concepts" is a logical fallacy that occurs when someone replaces or substitutes one concept with another that is not equivalent, leading to confusion or distortion of the argument or discussion. This fallacy can be intentional or unintentional and often results in faulty reasoning or misrepresentation of the original point.
Here's an example to illustrate this fallacy:
Person A: "We should invest more in renewable energy sources to reduce our carbon footprint." Person B: "So you're saying we should just abandon all other forms of energy and live in the dark ages?"
In this example, Person B is substituting the concept of "investing in renewable energy sources" with the exaggerated concept of "abandoning all other forms of energy." Person A's argument is not advocating for completely abandoning all other energy sources, but Person B's substitution distorts the original point to make it easier to attack.
Substitution of concepts can lead to various negative outcomes in discussions:
  1. Straw Man Argument: This fallacy often leads to creating a "straw man" argument, where the opponent misrepresents the original argument to make it easier to attack. This distracts from the actual point being made.
  2. Misunderstanding: Substituting concepts can result in misunderstanding and miscommunication. It prevents productive dialogue by diverting attention away from the real issue.
  3. Dishonesty: In some cases, people may intentionally substitute concepts to mislead or deceive their audience, presenting an argument that is easier for them to refute.
  4. Polarization: By misrepresenting an opponent's argument, substitution of concepts can intensify disagreements and lead to increased polarization, as it becomes more difficult to find common ground.
  5. Loss of Credibility: Individuals who frequently employ this fallacy may lose credibility in discussions, as others recognize their tendency to twist arguments for their own purposes.
To engage in productive and meaningful discussions, it's important to accurately represent and understand the concepts being discussed, without resorting to the fallacy of substituting concepts. Please, share your experiences and opinions.
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There have been several well-known disputes in the sciences where the fallacy of "substitution of concepts" has been used to misrepresent or distort arguments. Here are a few examples:
  1. Evolution vs. Creationism: In debates about evolution and creationism, proponents of creationism sometimes substitute the concept of "theory" with "just a theory," implying that the scientific theory of evolution is merely a guess or speculation. This misrepresents the scientific meaning of "theory" and downplays the extensive evidence supporting evolution.
  2. Climate Change Denial: In discussions about climate change, some individuals substitute the concept of "climate variability" with "climate change," suggesting that the Earth's climate has always naturally fluctuated, and humans aren't causing any significant changes. This oversimplification ignores the overwhelming scientific consensus that human activities are significantly contributing to the current rapid warming trend.
  3. Vaccination Debate: In discussions about vaccines and their safety, some opponents of vaccination may substitute the concept of "vaccine side effects" with "vaccine injuries," implying that vaccines cause severe harm more frequently than supported by scientific evidence. This substitution overstates the risks associated with vaccines.
  4. Genetically Modified Organisms (GMOs): In debates about GMOs, some critics may substitute the concept of "genetic modification" with "unnatural" or "Frankenfood," implying that genetic engineering is inherently harmful or unnatural. This substitution ignores the rigorous scientific evaluation and regulatory processes that GMOs undergo.
  5. Quantum Mechanics Misunderstandings: In discussions about quantum mechanics, which is a complex and counterintuitive field, individuals may substitute classical concepts with quantum ones, leading to misunderstandings. For instance, some might try to apply classical concepts of causality to quantum phenomena, which can lead to misrepresentations of how quantum systems actually behave.
  6. Medical Treatment Efficacy: In debates about medical treatments, proponents of alternative or pseudoscientific therapies may substitute the concept of "evidence-based medicine" with "Big Pharma" or "conventional medicine," implying that all established medical practices are solely driven by profit motives. This substitution ignores the rigorous testing and research that underpin evidence-based medical practices.
These examples illustrate how the fallacy of substitution of concepts can be used to mislead or distort discussions, particularly in scientific contexts where precise language and accurate representation of concepts are crucial for understanding complex issues.
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Is there any opinion on an experiment concerning photons, neutrinos, and gravitons?
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Permit me to reformulate my question:
The Michelson interferometer (Potsdam 1881) was used to work with light waves.
The Michelson interferometer (LIGO 2015) was used to work with gravitational waves.
Is there a technique thinkable to use a Michelson interferometer type to work with neutrino waves (entanglement instead of interference)?
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Dear professors and colleagues
I would like to get your opinion on the following figure:
1- I made a ligation for the specific 200bp insert to vector and that exact location shows misreading in 3 different oligo primers and identified by 1 oligo primer. What is your opinion?
2- In this case, does it mean that the insert is not right?
Thank you in advance
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Have you verified gene cloning by restriction digestion and PCR? If yes, did you get positive results? If yes, then there might be an issue with the quality of the recombinant vector that is used for sequencing or poor handling of the person who is performing sequencing.
Good wishes!
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Hi I would be grateful for an opinion on the following
When participants just complete early demographic questions in a survey and don't progress to the actual questions, is this classified as NMAR data? Given that I still have sufficient number of completed surveys if the incomplete ones are excluded to meet the requirements of power calculations, can I just exclude them. Are there any valuable references that will show this is acceptable?
Thank you in advance
Colin
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WARNING Ma'Mon Abu Hammad 's answer has a high probability of being written by AI, according to GPTZero. So it's unlikely that he actually knows the answer himself, and virtually certain that he can't spot errors in the answer. Besides everything else, it simply doesn't answer your question. It waffles along copying and pasting text.
That said, if you only have the demographics, you can use these to see if the non-participants differ from the participants. Apart from that, you're stuck.
I always do demographics last. They are boring, intrusive and de-motivating. I ask interesting questions first and then try and catch the demogs afterwards.
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I need a measure for RSB that I can use for a survey that would encompass a wide and diverse population demographic without restrictions to age, gender, race, sexuality, religion, and lifestyles. Thank you to whoever can be of assistance.
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Hello Marcus
Does it work for you?
Stulhofer, A., Graham, C.A., Bozicevic, I., Kufrin, K., & Ajdukovic, A.
(2009). An Assessment of HIV/STI Vulnerability and Related
Sexual Risk-Taking in a Nationally Representative Sample of
Young Croatian Adults. Archives of Sexual Behavior, 38, p. 209- 225.
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opinion in you reliability of the transaction via the Blockchain ?
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Blockchain has data integrity and its content cannot be altered (without consent). As a result, its reliability is certain to me, and I mostly recommend it for transaction.
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Hi I would be grateful for an opinion on the following
When participants just complete early demographic questions in a survey and don't progress to the actual questions, is this classified as NMAR data? Given that I still have sufficient number of completed surveys if the incomplete ones are excluded to meet the requirements of power calculations, can I just exclude them. Are there any valuable references that will show this is acceptable?
Thank you in advance
Colin
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Here is a link to assist you in identifying MNAR. I'm not sure that you can determine this, though, if they only completed the demographics.
You could also consider listing Nonresponse bias/Item Nonresponse Error, but those typically refer to random missing data. If they did not continue after demographics, we typically exclude them and just state 'x number of participants were excluded for not completing the majority of survey content' or 'x potential participants began the survey but were excluded for only completing a small portion,' etc. You'll want to identify how many began vs. how many total you ended with. Still, it's worth noting that they never completed more than the demographics, so the reader can understand how your decision was the most appropriate option.
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Once we determine via X-ray the dimension of the root, I prepare the scaffold and add to the composition a substance called tideglusib as an initiator of the cellular process.
What is your opinion ?
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I am located in Ecuador, the city is Manta and we are a group working in a Private Clinic without any outside sponsorship although we would like to have it. We manufacture our own scaffolds because that is part of the protocol we follow. Where are you located?
Are you also involved on dental research? We are trying slowly to develop Dental Engineering as an answer to the fails of some dental procedures.
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Dear members,
I am conducting a short survey regarding the influence of AI to Digital Marketing.
Appreciate if you could share your opinions. The survey takes only 5 minutes to complete.
Thank you very much.
Kind regards,
Anthony
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Done : - )
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The concept of Circular Economy (CE) in the Construction Industry (CI) is mainly about the R-principles: Rethink, Reduce, Reuse, Repair, and Recycle. Thus, if the design stage following an effective job site management would include consideration of the whole lifecycle of the building with further directions of the possible use of the structure elements, the waste amount could be decreased or eliminated. Analysis of the current literature has shown that CE opportunities in CI are mostly linked to materials reuse. Other top-researched areas include the development of different circularity measures, especially during the construction period.
In the last decade, AI merged as a powerful method. It solved many problems in various domains, such as object detection in visual data, automatic speech recognition, neural translation, and tumor segmentation in computer tomography scans.
Despite the broader range of works on the circular economy, AI was not widely utilized in this field. Thus, I would like to ask if you have an opinion or idea on how Artificial intelligence (AI) can be useful in developing or applying circular construction activities?
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Very welcome. :)
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In the optimization of truss structures, the DE-MEDT (Differential Evolution-Mixed Encoding Design Technique) algorithm is specifically designed to handle the trade-off between discrete and continuous variables. It achieves this by employing a mixed encoding approach, where both discrete and continuous variables are simultaneously optimized.
In truss structure design, discrete variables refer to design parameters that can only take on a finite set of discrete values, such as the diameter or cross-sectional area of truss members. On the other hand, continuous variables are design parameters that can take on any real value within a certain range, such as the length of truss members.
The DE-MEDT algorithm addresses this trade-off by representing discrete variables using a binary encoding scheme and continuous variables using their real values. This mixed encoding allows for the simultaneous optimization of both types of variables in a single optimization process.
Here's an overview of how the DE-MEDT algorithm manages the trade-off between discrete and continuous variables:
Initialization: The algorithm initializes a population of candidate solutions, each consisting of a combination of discrete and continuous variables. These solutions are randomly generated within their respective feasible ranges.
Evaluation: Each candidate solution is evaluated using the fitness function(s) that capture the objectives and constraints of the truss structure optimization problem. These fitness functions measure the quality and performance of each solution.
Selection: The DE-MEDT algorithm employs a selection process, typically based on dominance or Pareto dominance, to determine the most promising solutions in terms of the trade-off between objectives. This selection process considers both discrete and continuous variables.
Crossover and Mutation: In the DE-MEDT algorithm, crossover and mutation operations are applied to the selected solutions to create new offspring solutions. These operations combine and modify the discrete and continuous variables, allowing for exploration of the solution space and potential improvement.
Replacement: The offspring solutions are compared with the parent solutions, and a replacement strategy (e.g., elitism) is employed to update the population. This ensures that the best solutions, considering both discrete and continuous variables, are retained in subsequent generations.
Termination: The optimization process continues iteratively until a termination criterion is met, such as a maximum number of generations or convergence of solutions.
By simultaneously optimizing discrete and continuous variables, the DE-MEDT algorithm can effectively explore the design space, considering both discrete design choices (e.g., member sizes) and continuous design parameters (e.g., member lengths). This approach allows for a comprehensive search for optimal truss configurations that balance performance, cost, and other objectives.
It's important to note that the specific implementation details of the DE-MEDT algorithm may vary, and researchers may introduce additional techniques or modifications to further improve its performance and efficiency for truss structure optimization.
I wanted to know your opinion about this problem....
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The DE-MEDT algorithm, or Differential Evolution combined with Modified Extremal Directed Tabu search, is a potent hybrid optimization algorithm aimed at solving both discrete and continuous variables in structural optimization problems.
In the context of truss structure optimization, the algorithm attempts to find an optimal solution considering both the size (usually a continuous variable) and the topology (usually a discrete variable) of the structure. This problem is challenging due to the mixed nature of the variables and the non-linear constraints often associated with engineering problems.
Here's how the DE-MEDT algorithm manages the trade-off between these variables:
Differential Evolution (DE): DE is a population-based optimization algorithm that deals with continuous variables. It uses a simple and powerful mutation strategy to generate new solutions. In truss structure optimization, DE can be used to optimize the size of the truss elements. The size variables are continuous and can be any real number within the specified range. DE is good at exploring the search space and escaping from local optima.
Modified Extremal Directed Tabu (MEDT) search: MEDT is used for dealing with discrete variables. The Tabu search is a meta-heuristic that guides a local heuristic search procedure to explore the solution space beyond local optimality. In the context of truss structure optimization, MEDT could be used to optimize the topology of the truss, i.e., deciding where to place the truss elements. The topology variables are discrete and can only be 0 (no bar) or 1 (bar exists). MEDT is capable of executing global exploration and local exploitation simultaneously.
The DE-MEDT algorithm manages the trade-off by incorporating DE and MEDT into a single framework, allowing them to work cooperatively to find the global optimum. The algorithm first uses DE to perturb the continuous variables (sizes) and then applies MEDT to adjust the discrete variables (topology). This process continues iteratively until a termination condition is met.
The success of DE-MEDT in managing the trade-off between discrete and continuous variables depends on how well it balances exploration (searching new areas of the solution space) and exploitation (refining solutions in a currently promising area). The hybrid nature of DE-MEDT, with DE providing powerful exploration and MEDT providing effective exploitation, makes it a capable tool for managing this trade-off in truss structure optimization.
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NOTES:
(1) Any Actor has four types:
i. Human or Person
ii. Smart hardware such as Robot
iii. Smart Software
iv. Creatures
(2) Any Party has four types:
i. Human or Person
ii. Organization, such as Family, Company, and others
iii. Countries such as the USA, India, China, and others
iv. Political Parties
Critical Question
"What should a qualified leader look like, in your opinion? Would you please share your opinion?
Here is my answer:
I received this question from a "LinkedIn Member," and he said: "I see that you are a very good person in your industry. What should a qualified leader look like, in your opinion?"
Thank you for your compliment. I play several roles and work hard to get people, businesses, and organizations to use good roles instead of evil because wrong (Evil) roles seem typical in any society.
A leader is a role that has nothing to do with business or industry. Unless he presents a particular movement or human rights cause or to benefit some group in a country, city, or even village or for the sake of science, knowledge, and evolution of humans anywhere on earth.
Examples:
(1) The CEOs or managers OR ANY AUTHORITY are roles, and he got a salary for playing this role. They should know how to play and perform their roles well for the sake of whatever they have been hired for and deposit themselves somewhere far away from their roles. Why? Because their EGOs can interfere in doing their roles effectively
(2) Any Party must play the roles that help all humans in their countries first and in the world in all aspects of life to grow and to be fair and justice by any means to collaborate and advance humankind.
(3) Nowadays, many people and parties damage every aspect of human nature because they utilize a self-center mentality for their needs and don't play or perform the supposed roles.
The following article will question the unification of "The Right Person, the Right Place, the Right Time." Thomas B. Holman.
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Commonly recognized traits of a qualified leader:
1. Visionary: A qualified leader has a clear vision and can communicate it effectively to inspire and motivate others. They have the ability to envision the future and set goals accordingly.
2. Integrity: Leaders with integrity demonstrate honesty, trustworthiness, and ethical behavior. They act consistently with their values and principles, earning the respect and trust of their team members.
3. Communication skills: Effective leaders are skilled communicators. They listen actively, express ideas clearly, and adapt their communication style to different audiences. They foster open and transparent communication within their team.
4. Empathy and emotional intelligence: Leaders who show empathy understand and consider the emotions and perspectives of others. They are attentive to the needs of their team members, provide support, and foster a positive work environment.
5. Decisiveness: A qualified leader is capable of making timely and informed decisions. They gather necessary information, analyze options, and take responsibility for their choices. They also consider the input of team members when appropriate.
6. Accountability: Leaders take ownership of their actions and decisions. They hold themselves and their team accountable for results, learn from mistakes, and take steps to improve performance.
7. Adaptability: In a dynamic and changing environment, a qualified leader is adaptable and flexible. They are open to new ideas, embrace innovation, and guide their team through transitions and challenges.
8. Resilience: Leaders face adversity and setbacks with resilience. They remain determined, positive, and composed, motivating their team to overcome obstacles and achieve success.
9. Collaboration and teamwork: Qualified leaders foster collaboration and teamwork. They build strong relationships, encourage cooperation, and create a supportive and inclusive environment where diverse perspectives are valued.
10. Continuous learning: Effective leaders have a growth mindset and a commitment to continuous learning. They seek knowledge, stay updated on industry trends, and encourage the development of their team members.
Leadership is a complex and multifaceted concept, and different leadership styles and qualities may be more effective in various situations.
Good luck!!
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What are your opinions?
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Cyber Governance and Financial Fraud
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"Transformation of Traditional Companies in the Digital World: Challenges and Opportunities" - This topic can explore how traditional companies adapt to technological and digital advancements and how strategic management can contribute to the success of this transformation.
Please give your opinion
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Thanks dear @Dharti Narwani
Very informative comment
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In political system
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As to my opinion, the answer to this question may differ depending on the country profile and the cultural structure of the public. 'Public choice', being not sure, is a terminology that usually represents the subjective and irrational choices of people whose attitudes are mostly modified by the political and pointless speeches of politicians. Most notably, it is pretty difficult for such illiterated people to change their idefixes after being exposed to these kind of messages mixed with religious and nationalist speeches of politicians on power.
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Please help me.
In my result, in solar cell, when I increase the active layer thickness, Jsc was lowered (about half). However, EQE current was similar. Is there any opinion about this? (relating with low diffusion length of active layer, traps, low carrier density can be a reason... etc.)
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I also have a similar trouble/(ㄒoㄒ)/~~
Have you figure out why?
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Good morning,
Regarding Park transformation I note Matlab specifies by default q-axis aligned with a-axis and hence sinus-based transformation. I have the problem that many research I have reviewed is based on cosinus-based.
Would you kindly advice which of them is preferable in your opinion.
How could I "translate" the expression from one ref frame to another in order to make my calculations consistent?
Thanks in advance and Happy NY2K20!
Juan Cabeza
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Dear
Rana Hamza Shakil
The expression you repeated above regarding one type of transformation being more accurate than one or the others is not making sense. You can shift from one transformation to the other; what is important is to take in mind which specific transformation you are using, so that you always employ it in all your formulations, and also use the corresponding inverse transformation in your derivations/simulations. That's all!
In all kind of transformations (namely sine-based and cosine-based) you have both sine and cosine functions of transformation angle (one is to obtain the d-axis component while the other is the q-axis component).
I hope this helps
Best wishes
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I have surveyed to evaluate the perception and attitude of consumers towards ultra-processed foods (Sample size-621). I am doing confirmatory factor analysis and Structural Equation Modelling. I have four constructs (Risk perception-3 items, Benefit Perception-3 items, Attitude-a4 items, Behavioural Intention-was 4, 1 deleted now 3) and 24 items. My measurement model fit was good—factor loading from a minimum of 0.44 to a maximum of 0.70. The problem is CR (0.70 for two constructs, 0.59 for the other 2), AVE (ranges from 0.29 to 0.45. HTMT has no issue. I think I can justify it, but I also need advice.
The main problem is I am getting risk perception is positively and significantly correlated with attitude, which is opposite to the theory and other research findings. My hypothesis was that the greater the perceived risk, the more negative attitudes towards ultra-processed foods. In this situation, what should I do?
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Thanks @ Ajit Singh.
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Unless Until, we are not doing selection in manual mode, automatic seems quite false. Semi-automatic seems is comparatively better than automatic mode. What is your opinion ?
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Thank you Ricardo Tadeu Maia for your reply. I will connect with you soon.
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It is a growing tendency among authors to publish results without cross checking own results . This attitude generate wrong idea in new readers mind . On the other hand authors
get promotion by showing the wrong results .
They do not feel anything . Give your view .
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Personal benefit without undesirable consequences has a role to play regarding the main question of the discussion thread.
Regards
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Few resarschers argued "Dark side of creativity" what is your opinion on it ? Is it dark side of Creativity or Dark side of Human Brain (Psychology). Bcos if human intent are questionnable , you will have dark side of every innovation?
e.g. On the one hand, a creative idea resulted in value and profit; on the other, an individual was willing to be intentionally dishonest in order to execute his idea. It is this dark side of creativity—particularly the relationship between creativity and dishonesty—that has piqued the interest of researchers.
pleae do write your views.
Best Regards
Sandeep
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What is the best definition of creativity?
Creativity is defined as the tendency to generate or recognize ideas, alternatives, or possibilities that may be useful in solving problems, communicating with others, and entertaining ourselves and others
.
Every coin has to side. . so is with creativity. but the objective is to see positive side and make positve impact. it is human psychology to use it for different purpose that may be harmful and termed as dark side of creativity.
There is another perspective of it that may be stated as : Variously referred to as malevolent or negative, dark creativity uses the creative process to do something socially unappealing and guided by self-interest. You might not intend to harm someone else, yet harm is often a byproduct of your actions.\
Few psychological traits are as desirable as creativity — the ability to come up with ideas that are both novel and useful. Yet it is also true that creativity has been associated with a wide range of counterproductive, rarely discussed qualities. Being aware of these tendencies is important for anyone trying to better understand their own creativity, or that of other people.
First, research has established a link between creativity and negative moods. You don’t have to be depressed to be creative — and it’s important to note that crippling depression is more destructive than generative — but it is true that there is some empirical backing for the stereotype that artists tend to be depressive or suffer from mood swings. As Nietzsche once noted: “One must have chaos in oneself to be able to give birth to a dancing star.” On average, people who are very emotionally stable may be too happy to feel the need to create. After all, if the status quo is fine, why change it?
Second, the very thinking patterns that define the creative process and help lead to original thinking can have a maladaptive side. For example, creativity requires the inability to suppress irrelevant thoughts and inappropriate ideas. And creative thinkers also tend to have poorer impulse-control.
YOU AND YOUR TEAM
  • Thinking Creatively How to build this critical skill.
More recently, creativity has also been associated with dishonesty, presumably because it enables individuals to creatively distort reality. That is not to say that creative people are necessarily unethical. Rather, their lower tolerance for boredom and conventionality, and their more vivid imaginations, equip them with more sophisticated mental tools to both self-deceive and deceive others.
It should be noted that this ability can often be deployed in the service of others. Outstanding entrepreneurs may be able to use such skills to convince others of their vision. (Remember Steve Jobs’s famous “reality distortion field”?) Perhaps entrepreneurial talent requires a certain ability to see something that isn’t there — something for which there’s no evidence yet — and turn it into a compelling vision, as well as products and services, for others.
Research has also found that creative individuals are often more narcissistic, and that narcissism can actually boost creative achievements. This makes intuitive sense. Narcissistic people are focused on themselves, and naturally spend more time focused on developing their own ideas and less time worrying about pleasing other people. However, it’s important to note that narcissists tend to think that they are more creative than they actually are, and most people are unable to evaluate creativity accurately — so it could also be that observers are just more easily deceived by individuals who seem more confident and enthusiastic about their own ideas. In line, research shows that even when narcissistic individuals are not more creative, they are better able to sell their ideas to others, creating, in effect, a self-fulfilling prophecy. (This is consistent with the finding that narcissism often correlates with leadership, including when leaders are visionary or entrepreneurial.)
Even seemingly desirable creative qualities often present more problems than opportunities for the person who incarnates them. For example, take nonconformity – a necessary prerequisite of creativity. We may idolize rebels in popular culture, but in daily life we pressure these disruptive misfits to get with the program. Likewise, although the idea of embracing risk and tolerating failure seems cool and sexy, the natural human tendency is to preserve the status quo and make our environments as predictable and familiar as possible. Truly creative people are therefore often perceived as a threat.
Of course, the bright side of creativity tends to eclipse its dark side. At the individual level, creativity has been linked to a wide range of positive emotions, such as flow, engagement, and subjective wellbeing. When people are assigned to meaningful jobs and given autonomy over their work, they will unleash their creativity and enjoy all its benefits. At the team level, coordinated group behavior and interpersonal synergies turn creativity into actual innovation, the practical side of creativity. And at the organizational and societal levels, creativity provides the seeds of change and progress. Without creativity, we would be still living in the dark ages.
But if creativity were as uniformly desirable and attractive as most writings on the subject suggest, it would happen more often, and without adverse consequences for creative minds. Too many of us simply want to “boost our creativity” without acknowledging the dark places it often comes from — or the challenging places it may take us. The reality is that creativity is both taxing and complicated. as quoted by by
  • Tomas Chamorro-Premuzic.
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to express the correct opinion
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The majority of jurists are of the opinion not to work with the obligatory will, while some jurists went to work with it, which is the practice in most Arab courts
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Found different questions according to the different authors
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Hello ,
by a questionnaire of lens wearers
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Inquiry on Conditional Inference Tree to assess the knowledge and attitude in conservation science
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Yes, the Conditional Inference Tree (CIT) is suitable for analyzing Likert scale-type responses and multiple-choice questions. It can handle categorical and ordinal data, providing valuable insights into complex relationships between variables.
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I have used the MTT Assay to measure cancer cells' viability under an antioxidant compound's influence. But contrary to expectations, with the increase of antioxidant concentration from 5 μM to 150 μM, the viability not only did not decrease but also increased. In other words, with the increase in the concentration, the amount of light absorption increased. In your opinion, what is the reason for this technical error? Or what kind of problems could have occurred during the MTT Assay?
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This is completely normal, antioxidants promote the viability and proliferation of tumor cells. (please see also the Warburg Effect).
Yours,
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In my opinion, academic conferences (ACs) are (very) necessary in the tertiary institutions of higher learning, as it creates a platform for knowledge sharing and exchange. Scholars from all walks of life dare to attend because, they believe they will gain useful "something." Sadly, these conferences run for only two or three (maximum) days: a duration some scholars and institutions may find unnecessary to spend a lot of money for.
If the impact of AC is to network for further collaboration, look for external examiners for your faculty/department/students, peer review of pedagogical practices for the sake of standardisation, then 2/3 days are just not good enough.
Therefore, I think/suggest that:
  • AC should have minimum of 5/7 days, whereby, experts in their various fields can be invited to come and share their experiences and how they made it, new trends and current research areas that can advance our lives.
  • Experts in analytical software that are more appropriate for the chosen field to come and empower scholars in that discipline (I hate giving my work to someone to analyse for him to tell me the outcome). When you analyse yourself, you gain more insights that can lead to multiply knowledge creation.
  • The suggested duration can help to achieve the listed impacts in the second paragraph.
Who can afford not to attend a conference of such benefits? and who will dare to say that such a conference is of little benefit?
I invite comments!
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Infact, we can add Internet Research Training to the recommendations to maximise Online Research Skill of scholars who want to gain such competency.
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Hi guys, i want to ask you something. I'm doing some study on antioxidant activity in Palm Kernel Cake (PKC) by using DPPH assay method. I observed that my the color of my bio-oil extracted from PKC was appeared in likely clear colour. Last time, I saw someone wrote that it's better to use 0.1mM of DPPH instead of 0.6mM of DPPH for a clear solution sample. Is that true? Can someone give me some opinion how can i know how much concentration for dpph i should use? It's okay if I use 0.6mM DPPH? Thankyou. 😁
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Hi there,
The DPPH assays for antioxidant activity do indeed show variability in the absorbance thresholds used in different studies. Some researchers prefer using an absorbance value below 1 (DPPH 0.6mM) for a gradual color change, while others recommend a threshold of less than 0.7 (DPPH 0.1mM) for a quicker and more pronounced response.
When considering the absorbance thresholds for DPPH assays, it is crucial to be aware that the literature may present variable protocols. Parameters such as λmax, used for absorbance measurements, typically range between 515nm and 520nm, and the reaction time can vary from 30 to 5 minutes.
To ensure reliable comparisons, you should assess the antioxidant activity of your bio-oil alongside well-established antioxidants like ascorbic acid, quercetin, or beta-carotene among others. These compounds are widely recognized and commonly used as reference standards in antioxidant studies.
Ultimately, the choice depends on the experimental objectives and sensitivity requirements of your study.
Best of luck 😁
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I was reviewing a paper for a journal, and the authors stated that they randomly selected company reports from several databases to give them a sample size of 600 firms.
I was of the opinion that “sampling” is inherently associated with primary data collection or am I mistaken?
My suggestion would be that the authors state that they selected 600 “cases” for their analysis from the databases (using whatever criteria) and not make reference to the word “sampling”…?
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The term "sampling" can indeed be used when utilizing secondary data sources for a study. Sampling refers to the process of selecting a subset of individuals, cases, or data points from a larger population or dataset for analysis. This process can apply to both primary data collection and secondary data analysis.
In the context of the paper you reviewed, where the authors selected company reports from databases as their sample, it is appropriate to use the term "sampling" to describe their process. Even though they did not collect the data themselves through primary research, they still sampled a subset of data from the larger population of available company reports.
It's important to note that the term "sampling" can be used in different research contexts, including both primary and secondary data analysis. However, if the authors prefer to be more precise and avoid any potential confusion, they could explicitly state that they selected 600 "cases" or "data points" for their analysis from the databases instead of using the term "sampling." Ultimately, it would depend on the specific terminology and conventions used in the field and the preferences of the authors and the journal they are submitting to.
As a reviewer, you can certainly provide your suggestion to the authors regarding the use of terminology, offering the option of stating that they selected 600 "cases" rather than using the term "sampling." However, it would be a judgment call for the authors to decide whether to adopt that suggestion based on their understanding of the field's conventions and the specific context of their study.
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Dear professors and colleagues
Situation:
I am currently preparing a recombinant DNA consisting of a 1000bp insert and a 6000bp vector.
- Insert: The 1000bp insert is prepared by amplification using PCR and then double-digested to create sticky ends.
- Vector: The 7500bp vector has been double digested using the same restriction enzymes and then extracted and purified 6000bp part from 0.6% agarose gel.
Trouble:
1- After extraction and purification the final concentration is 12-20ng/ul and the desired concentration to perform successful ligation is 100ng/ul or more. What is your advice to get a high concentration from the gel?
2- After proceeding to ligation using different protocols and companies,
insert to vector ratio is 3:1 using 270ng/ul of insert and 12ng/ul of vector; the end result in gel electrophoreses is way longer than the desired length by approximately 10000bp.
Do you have any suggestions?
I will appreciate your opinion and advice....
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dear Ahmed Elsherbini to point 1: your concentration is fine. You don't need more than that. In general people use 100 ng of vector for a ligation IN TOTAL (that is about 8 ul of your purified fragment of 12ng/ul, which you should have; but you can also use consideraby less, it depends how efficient your cells are for transformation). Point 2; the 3:1 ratio vector to insert is NOT about ng but about molar ratio. that means 3 molecules insert vs 1 molecule vector. Your vector is 6kb, your insert 1 kb, so for 100 ng vector you need about 50 ng insert. So in summary: probably u use way too much insert. I don't know what u mean about the end product in electrophoresis? After transformation and miniprep? Maybe you get vector dimer, it can happen. As Anatoliy said, try dephosphorylating the backbone vector prior to purification. If after fixing the ratio, problem remains, make sure the sites in your PCR fragment are properly cut (enough base pairs at end next to restriction site etc).
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What if we don't know anything about history? 00 How would the world be different?... What if everyone had the same opinion about everything?
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No conflict, No learning, No research, so no development.
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About Midjourney: https://g.co/kgs/s5p6YH
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The debate on whether the use of AI, like Midjourney, turns someone into an artist is complex, with reasonable arguments on both sides. On one hand, those who utilize these tools play a creative role in selecting prompts, refining and choosing the resulting outputs. They make aesthetic decisions to embody their artistic vision. In this sense, they could be considered modern artists who leverage new technologies, following the tradition of other artists throughout history. On the other hand, some believe that manual processes and traditional technical skills are essential in artistic creation. From this perspective, AI simply generates images based on pre-established patterns, without being a genuine extension of the human mind and sensitivity. We can see humans and AI as creative collaborators, each contributing complementary skills. The most important aspect, regardless of how it was produced, is the artistic result itself. If a work generates reflection, emotion, and new ways of perceiving the world, it has fulfilled the transformative purpose that art has historically had.
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I need expart's opinion
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Partial least squares structural equation modeling (PLS-SEM) does not require these assumptions to be satisfied, as it is a nonparametric method that can handle complex and nonlinear relationships among latent variables. However, some researchers suggest that checking the normality and linearity of the data can help to assess the quality and validity of the model, especially when comparing it with other methods such as covariance-based SEM. Therefore, it is advisable to perform some exploratory data analysis and visual inspection of the data before running PLS-SEM, especially when dealing with a large and heterogeneous sample of 600 observations.PLS-SEM does not require these assumptions to be satisfied, as it is a nonparametric method that can handle complex and nonlinear relationships among latent variables. However, some researchers suggest that checking the normality and linearity of the data can help to assess the quality and validity of the model, especially when comparing it with other methods such as covariance-based SEM. Therefore, it is advisable to perform some exploratory data analysis and visual inspection of the data before running PLS-SEM, especially when dealing with a large and heterogeneous sample of 600 observations.
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The popular, generetative AI that plagarises all the time, has a great potential to strengthen prejudices and 'the common knowledge' in economic sciences, not to revolutionalize economic sicencesThe popular, generative AI that plagiarises all the time, has a great potential to strengthen prejudices and 'the common knowledge' in economic sciences, not to revolutionize economic sciences. It is so because the current generation of the AI hallucinates at best and is no creative at all.
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Whats your opinion on intermediata molecules quantum states
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I think they play basic role in DNA and its translation and in the intermolecular enzymatic mechanisms and in the brain itself and on whole body level integration.
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Dear Milan Dordevic, Rade Tešić, Srdjan Todorović , Miloš Jokić , Dillip Kumar Das, Željko Stević, and Sabahudin Vrtagic
Reference is made to your paper
“Development of Integrated Linear Programming Fuzzy‐Rough MCDM Model for Production Optimization”
I read it and my comments are:
1- I n the abstract you say “Exactly such a problem is solved in this paper, which integrates linear programming and a Multi‐Criteria Decision‐Making (MCDM) model”
In reality, Linear Programming (LP) is part of MCDM. As a matter of fact, it was the first method of MCDM, created by Kantorovich in 1940.
In “First, linear programming was applied to optimize production and several potential solutions lying on the line segment AB were obtained”
This is correct, and some times it happens, but only when the objective function has the same slope as a criterion. This is your case, and a-b t is a Pareto frontier, with infinite optimal solutions between a and b, if the alternatives are not finite.
2. In page 2 “This model includes qualitative and quantitative indicators, which is an advantage considering that the disadvantage of various multi‐objective programming models is that they are basically mathematical and often ignore qualitative and subjective factors”
In reality, practically all MCDM methods work with quantitative and qualitative criteria, however not LP, that works only with quantitative criteria or indicators, as you call them.
3. In page 2 “fuzzy analytic hierarchy process”
You can’t apply fuzzy in the AHP method. It was expressly said in writing by Saaty, its creator, because AHP is already fuzzy.
4- In “I” Figure 1, in my opinion, there is a sequence mistake, since determination of criteria must precede LP, not as is shown in the figure. You can’t solve a LP scenario if you don’t have the criteria.
5- In “IV” Figure 1, what is the gain in comparing rankings from different methods addressing the same problem? What information can you extract from this comparison?
6- In page 2 “When applying LP for the optimization and management of production processes in this special case, several potential solutions are obtained instead of one which is usually the case”
Again, LP can give several optimal solutions ONLYwhen the mono-objective function is parallel to a criterion. LP was designed to give, if it exists, only one optimal solution, like maximize benefits, or minimize costs, but not the two at the same time. However, you can use maximize a benefit or minimize a cost, at the same time, if they are criteria. The method will try to find a solution that balances both criteria, that is, it will find a compromise solution.
By the way, if you use LP, you don’t need weights. These are determined in each iteration of the LP method. DM preferences can be applied after a mathematically correct results are reached.
7- What are ‘Rough MCDM methods”? You did not explain this concept. The same for rough numbers. Remember that not all readers in RG , probably most, are not mathematicians
8- In page 9, Figure 2 where is the objective function Z?. In reality, it coincides with criterion C2
Look at your equations. Criteria C2 or Equation 2 is:
C2 = A + 0.5 B = 3000
Look at your objective equation
Z = 2000 A + 1000 B
Z = A + 0.5 B
The only difference is that C2 has a goal (3000), i.e., it is definite, while Z is not.
The Figure is correct, but the objective function must be identified, if not, the reader will be asking where is it.
Z can be displaced to the right parallel to itself, because it is maximizing. Since it is indefinite it can take any value. Suppose that you assign it the value 3000. It means that whatever its initial position in the A-B coordinates system, at that value Z equals C2, which is what you have in your diagram.
Thus, this parallelism between Z and C2 has been forced by establishing that Z and C2 have the same slope (1 and 0.5). Therefore a-b constitutes a Pareto Front where all pairs of A and B are optimal.
But remember that this is a particular case. Most PL problems determine the optimal value when the Z line tangents one vertex of the polygon.
9- In page 9 “The optimal value of the objective function is unique because it is six million regardless of how many products A and how many products B will be produced, but there are infinitely many admissible solutions that provide this function value”
Exactly
10- In page 9 “Since we have as a solution many points that represent the optimal solution, a multicriteria model can be applied further”
I don’t understand. You already applied MCDM using LP. Why do you need to apply another method?
What is the ‘t’ value? In may opinion you should explain that it is a parameter or percentage.
11- On page 10 “3.3. Determining the Significance of Criteria Using the IMF SWARA Method”
What do you need that for if you already have the solution?
12- There is something that puzzles me, and it is why to develop so a complex procedure when the same result of A21, can be reached just putting ‘=’ instead of ‘≤’, by indicating in this inequation of yors.
1.5 x1 + 1.5 x2 = 6000
Since x1 = x2, I don’t see why you say that the best alternative is x1.
Obviously, the authors must have had reasons to follow a complex mechanism, when it can be replaced by a simple operation. I would like to hear from them about this.
In my opinion the article is very valuable, but very difficult to understand, mainly because it appears that the authors take for granted that readers don’t need any clarification.
Hope it helps
Nolberto Munier
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Dear Federico
Thank you for joining this discussion
You propose a new paper regarding energy transition, which of course I will read, but I fail to understand which is its relationship to the discussion on production optimization that I analyzed
Would you care to clarify?
Thank you
Nolberto
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Some people reject new technologies or techniques in the their field, especially when it suggested by the others. Sometimes they put obstacles in the way of it's use.
Had you faced such people?
Your opinions are appreciated.
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Before I retired (2012), I was a nurse practitioner for bladder and bowel health. I used to do quite a bit of work with women with pelvic floor weakness which sometimes involved getting their pelvic floor muscles working by using electrotherapy if the muscles would not contract in order to be built up by exercises,
e.g. Bouallalene-Jaramillo, K., & Calvo-Sanz, J. (2023). Parameterization of electrotherapy interventions in physiotherapy for pelvic floor dysfunctions: a systematic review. Actas Urológicas Españolas (English Edition).
However, pelvic floor re-education took time and effort from the woman who needed my help. And there had been a new treatment made available that used mesh inserted surgically that many women saw as a speedier solution:
I had wondered whether it would be as good as it was expected to be and carried on with my nurse / physio options, but had quite a lot of women who rejected my offer of treatment as they wanted to improve 'over night'.
Later, when I heard about the problems incurred by the mesh, I remembered being a bit concerned about the mesh when it first became available. It seemed to have appeared and be used very quickly and I had wondered about it.
Not because it was new, particularly, as I like to hear about new technologies, but I had just felt uneasy.
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Dear All,
I am looking for opinions and ideas on what are the important components required for ethical governance.
Kindly include links or search engines.
Thanking you in advance for your guidance and help!
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Accountability and a demarcation between public and private Morals
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Game companies use embedded marketing to influence players' purchasing decisions to push them to make in-game purchases
How do you think I can best measure this effect?
Through a questionnaire for players or conducting personal interviews
Note that sales and purchase figures are not disclosed by the company
I would be grateful for the answer and look forward to reading your opinions
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Measuring the effect of embedded marketing policies in online games on players' purchasing decisions can be challenging but not impossible. Here are some steps you can take to assess the impact:
  1. Define the Metrics: Determine the specific metrics you want to measure, such as the number of in-game purchases, average purchase value, conversion rate, or player engagement. These metrics will help you quantify the effect of embedded marketing.
  2. Control Group and Experimental Group: Establish a control group and an experimental group. The control group should consist of players who are not exposed to embedded marketing, while the experimental group includes players who are exposed to embedded marketing within the game.
  3. Data Collection: Collect relevant data from both groups, such as in-game purchase records, player behavior, engagement metrics, and demographic information. Ensure that you have access to accurate and comprehensive data to analyze the impact accurately.
  4. Analyze Purchase Behavior: Compare the purchasing behavior between the control and experimental groups. Look for patterns and trends that indicate differences in purchase frequency, purchase value, or conversion rates. Statistical analysis, such as t-tests or regression analysis, can help determine the significance of these differences.
  5. Surveys and Feedback: Conduct surveys or interviews with players from both groups to gather qualitative data. Ask about their perception of embedded marketing, whether it influenced their purchasing decisions, and if they found it intrusive or valuable. This feedback can provide additional insights into the players' attitudes and preferences.
  6. Longitudinal Analysis: Consider conducting a longitudinal analysis by monitoring players' purchasing behavior over an extended period. This approach can help identify trends, patterns, and changes in behavior over time, providing a deeper understanding of the impact of embedded marketing.
  7. A/B Testing: Implement A/B testing, where different variations of embedded marketing strategies are tested on separate groups of players. This allows for a more targeted analysis of specific marketing techniques and their effects on purchasing decisions.
  8. Comparison with Historical Data: If available, compare the purchasing behavior data from the experimental group with historical data from the same player base before the introduction of embedded marketing. This comparison can provide insights into changes in purchasing behavior attributed to the new marketing approach.
  9. Statistical Analysis: Utilize statistical tools and methods to analyze the data collected and draw meaningful conclusions. Consult with data analysts or statisticians if needed to ensure accurate and reliable analysis.
  10. Consider External Factors: Take into account other external factors that may influence purchasing decisions, such as game updates, promotions, or changes in the market landscape. It's important to isolate the effects of embedded marketing as much as possible.
By following these steps, you can gain a better understanding of how embedded marketing policies in online games affect players' purchasing decisions. Remember that measuring the direct impact can be complex due to the influence of various factors, so a combination of quantitative and qualitative approaches will help provide a more comprehensive evaluation.
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Dear All Respected researchers.
If anyone has researched or worked on the impact of communication or lean communication on knowledge sharing in an organization, kindly share your opinion with me.
Much appreciated and prior thanks.
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Yes, of course, there is a relationship between organizational communication and knowledge sharing. You cannot effectively share knowledge without good communication, and there is often no good communication where knowledge is poor.
I hope this helps.
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Psychological theories are scattered and lack sufficient coherence. Researchers have worked without attention to each other. These valuable theories, if they are put together, find great value. isn't it?
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I think not only the theories of learning and development, the theories of various schools of psychology can be integrated into one theory.
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We blame the consumer because he deals with these products and desires them out of demand, creating supply... Or do we blame the governments for not criminalizing and banning black products?
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It is not appropriate to blame the consumer for the spread of black marketing practices. The government has a responsibility to regulate and enforce laws that prevent black marketing practices.
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I need a new tool to collect data about the opinions of a sample of customers about a particular product. Need to hear your views and experiences
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you may try with interview or focus group... or with observation method...
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Dear researchers,
"From below Figure, the extensional viscosity estimated from CaBER (Capillary breakup extensional rheometer) is too apparent, not true rheological data".
What do you think about this statement?
- In my opinion, a capillary rheometer is an apparatus designed to measure shear viscosity and other rheological (= flow) properties such as extensional viscosity, extrudate swell, thermal stability, wall slip. So the data showed in this Fig is the rheological data. I am not sure about above statement. Please give some advice.
Thank you very much.
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Dear Dr. Joshua Depiver,
Thank you very much for your detailed explanation. Put the statement in its context and combine your comments. I understood that statement.
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Do you agree with me that Research Gate is considered an appropriate platform for the circulation of scientific research and the expression of opinions and ideas among international academics, researchers and scientists, and makes the world as one country to serve the world, societies and scientific research?
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I fully agree with You, but still personally do not understand why many researchers, or disposed somehow to analysis or research, avoid this social network.
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there are many statistics software that researchers usually use in their works. In your opinion, which one is better? which one do you offer to start?
Your opinions and experience can help others in particular younger researchers in selection.
Sincerely
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SPSS, as my results necessitate analysis using SPSS
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Acceptance of a specialized doctoral student in distance education planning
Metaverse can be the best option for universities and we are your companions in this way.
What is your general opinion about Metaverse and university and studying in the field of distance education?
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Dear Mr. Pourashraf!
You raised a very important point - how virtual platforms can benefit academic communities at universities. At this stage there is no final answer - future scenarios are emerging:
1) Turan, Z., Karabey, S.C. The use of immersive technologies in distance education: A systematic review. Educ Inf Technol (2023). https://doi.org/10.1007/s10639-023-11849-8, Available at:
2) Chua, H.W., Yu, Z. A systematic literature review of the acceptability of the use of Metaverse in education over 16 years. J. Comput. Educ. (2023). https://doi.org/10.1007/s40692-023-00273-z, Available at: https://link.springer.com/article/10.1007/s40692-023-00273-z
3) Cui, L., Zhu, C., Hare, R. et al. MetaEdu: a new framework for future education. Discov Artif Intell 3, 10 (2023). https://doi.org/10.1007/s44163-023-00053-9, Open access:
4) Call for Papers: Metaverse and E-Learning Platforms [1240], Multimedia Tools and Applications, An International Journal, Available at: https://www.springer.com/journal/11042/updates/25201880
5) Joana Braguez, Marta Braguez, Sílvia Moreira, Carla Filipe, The possibilities of changes in learning experiences with Metaverse, Procedia Computer Science, Volume 219, 2023, Open access:
6) Al-Adwan, A.S., Li, N., Al-Adwan, A. et al. “Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms”. Educ Inf Technol (2023). https://doi.org/10.1007/s10639-023-11816-3, Open access:
7) A case-study: Yilmaz, M, O'Farrell, E, Clarke, P. Examining the training and education potential of the metaverse: Results from an empirical study of next generation SAFe training. J Softw Evol Proc. 2023;e2531. doi:10.1002/smr.2531, Free access:
Yours sincerely, Bulcsu Szekely
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Many researchers use the term of effect or impact but I think the have to use only relationship. What is your opinion?
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Yes, it is acceptable to use the term effect in research titles and objectives in social and administrative sciences. The term effect is commonly used in research to describe the relationship between variables. It is used to describe the impact that one variable has on another.
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Hi researcher, please need your opinion if we want to classify all method/algorithm from long time until today.
You can classify become 4-5 or more group of method.
It will help new researcher to understand while reading paper a lot.
Thank you very much for your kindnes.
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When classifying algorithms, it is important to note that there are numerous ways to categorize them based on different criteria. Here, I will provide a general classification of algorithms into three broad groups:
1. Descriptive Algorithms: These algorithms aim to describe and summarize data patterns and relationships. They focus on exploring and understanding the data rather than making predictions or decisions. Examples of descriptive algorithms include clustering algorithms (e.g., k-means, hierarchical clustering) and dimensionality reduction techniques (e.g., principal component analysis, t-SNE).
2. Predictive Algorithms: These algorithms are designed to make predictions or estimates based on available data. They learn patterns from historical data and use them to predict future outcomes. Common predictive algorithms include regression algorithms (e.g., linear regression, logistic regression), decision trees, random forests, support vector machines (SVM), and artificial neural networks (ANN).
3. Prescriptive Algorithms: Prescriptive algorithms go beyond predicting outcomes and provide recommendations or optimal solutions for decision-making problems. These algorithms take into account constraints, objectives, and preferences to suggest the best course of action. Examples of prescriptive algorithms include optimization algorithms (e.g., linear programming, genetic algorithms) and recommendation systems (e.g., collaborative filtering, content-based filtering).
It is worth mentioning that these categories are not mutually exclusive, and some algorithms may fall into multiple groups depending on their characteristics and applications. Additionally, there are several other subfields and specialized categories of algorithms, such as natural language processing algorithms, image processing algorithms, and evolutionary algorithms, among others.
When reading research papers, these classifications can provide a starting point to understand the type of algorithm being discussed and its intended purpose. However, it is important to note that the field of algorithms is continuously evolving, and new methods and approaches are being developed over time.
I hope this classification helps you in your research endeavors, and I wish you the best in your studies and future publications.
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Hlw
I am doing a research on Homophobia among youth and parents for which I am thinking to use a standardized questionnaire- Homosexuality Attitude Scale (HAS), but the scoring information of the questionnaire does not provide the range to level the attitude. Is it possible to set my own range by using proper statistical method?
Thanks,
Eli Nasrin Farhana
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The outcome of HAS is continuous, from 21-105. And, there's no set criteria to divide the range into low medium and high attitudes. No matter what criteria you'll adopt will be criticised.
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Rest-Mass, Charge of an electron is still an unsolved problem in physics! Why?
Einstein: "A theory setting mass and charge a priori is incomplete!" So Dirac's Electron Theory (restmass and charge are fundamental constants) is incomplete in the sense of Einsteins Opinion. The same to SM & GR up to now?
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I give it a try although it is far too much for 1 comment. And more worse: there are a lot of conflicting concepts, each concept hailed by a different group of theorists. So there is no consensus too.
If you are a phenomenological physicist physical reality exists of an enormous vacuum and inside the vacuum there are phenomena and configurations of phenomena. Thus particles and their distinct influence on vacuum space around (like a gravitational field, EM field, etc. “attached” to the particle). The consequence of this concept is that the electron and the proton in a Hydrogen atom are separated phenomena. Their mutual relations – like the electric charge – are like a mysterious “surplus” to the properties of each particle.
In modern physics there is no difference between the vacuum and the particles inside because both represent an underlying reality that creates physical reality (“everything”). The underlying reality exists of basic quantum fields and the general concept is termed quantum field theory (QFT). Basic quantum fields are “tangible” fields because the emerging energy concentrations we have termed particles are “tangible” phenomena. The consequence is that the gravitational field or the EM field “attached” to a particle represent local differences of the average magnitudes within the structure of the basic quantum fields.
If we use the general QFT concept the electric charge (+/-) represents a duality. Thus properties of the basic quantum fields are responsible for the creation of the electric charge under universal conservation laws. That means the conservation of energy and the conservation of momentum. Both universal conservation laws reflect the dynamical properties of the universal electric field and the corresponding magnetic field (= electromagnetic field).
Suppose the electromagnetic field creates a proton, a local concentration of energy in vacuum space. The mechanism that is responsible for the concentration of energy cannot create energy out of nothing (universal conservation law). Thus the energy of the proton was obtained from vacuum space around, actually the electromagnetic field, and transferred to a small volume in the centre of the concentration (the new proton). In other words, if there is a local concentration of energy (e.g. n x h), there is a local deficit of energy around the proton with the same quantity (n x h). Because most physicists are phenomenological physicists, these physicists prevere the concept that a local surplus of energy is a one-particle field excitation (like Stam Nicolis mentioned above). They certainly don't like set theory.
The universal electric field is a topological field and it can deform under invariance of volume (the cause behind the wave-like property of the electromagnetic field). The amount of dynamical topological deformation is quantized and that is what we have termed “Planck’s constant”. The quantum of energy propagates – if linear – within the structure of the universal electric field at a constant velocity, the speed of light (c). That is obvious because if the structure hasn’t a metric of equal proportions (size) the properties of a particle will change if the particle changes its position. And that is not what we observe.
The corresponding magnetic field is a vector field. Vectors are 1-dimensional in mathematics (classic field theory) thus the magnetic field has no volume of its own. Vectors can only propagate within a rigid medium (another quantum field).
Be aware that in quantum field theory there is no need for Lorenz transformations because the structure of the underlying basic quantum fields is the rest frame of the universe. Moreover, the mathematical properties of the universal electric field don’t permit the curvature of the structure of the basic quantum fields. Thus in QFT Einstein’s hypothesized curved spacetime is a model and the model describes the mutual dynamical relations between the (macroscopic) phenomena in a convincing way. Of course not the mutual relations that are not described by the theory of Special and General relativity. The “transformation” of Einstein’s curved spacetime in terms of field theory is the search for quantum gravity.
Be aware that the consequence of Einstein’s curved spacetime – some kind of a "fluid" – is that there don’t exist vectors in our universe. Or we must reject the significance of mathematics in theoretical physics...
This already a lot of text; with kind regards, Sydney
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Dear: Jean Dezert , Albena Tchamovag, Deqiang Han, Jean-Marc Tacne
Reference is made to your paper :
The SPOTIS Rank Reversal Free Method for Multi-Criteria Decision-Making Support
My comments as follows:
It is a very good news to have a method without Rank Reversal (RR)
1- In my opinion you use the phrased ‘score matrix’ to indicate what in reality is the initial matrix, composed by performance values. This induces to confusion to readers for who score matrix is a matrix with different scores or results derived from applying a MCDM method.
2- You say in page 3 “The score matrix S = [Sij ] is sometimes also called benefit or payoff matrix in the literature.”
What happens if the matrix, as is most usual, also calls for minimization, using ‘cost’ values?
3- I don’t think that an initial decision matrix (IDM) can be considered incomplete because it does not have bounds for criteria. A matrix is incomplete when there is no indications of the quantity of resources for each criterion, procedure unfortunately followed by most MCDM methods, except PROMETHEE and those working with Linear Programming.
4- I agree with what you say about validations.
5 – You say “Classical MCDM problem becomes a well-defined MCDM one, where all scores values for each criterion are between its bounds”
6- “SPOTIS method will provide the best multi-criteria decision-making solution with preference ordering of all alternatives.”
Are you sure it is the best? On what grounds do you assert that?
7- In page 3: You consider criteria independent from each other. This s is a serious drawback, since in most projects criteria are interrelated. According to this, if you have two criteria like ‘Sped’ and ‘Fuel consumption’, that are interrelated, you can’ use SPOTIS? Why not?
8- How do you determine an ideal solution a priori? Based on what? Of course, if this solution is say very high, is does not matter what alternative you add, because it will be always above the maximum.
I grant you that it is a very elegant procedure.
9- I don’t think is correct to work with difference types of distances in the same problem?
10 - Where does weights come from? Are they subjective or objective?
11 – In page 5 “Once the MCDM is well-defined thanks to the specification of the bounds values of each criteria, the SPOTIS method does not suffer from rank reversal because the evaluation of each alternative is done independently of the others
I agree 100% with this statement, because I also believe that the only way to avoid RR is evaluate each alternative independently. There is another method that applies this same principle and does not produce RR, but is not based on distances to a fixed point.
12- In page 7 “It could be argued that the SPOTIS method is more difficult (or risky) to use because of the freedom left in the choice of min and max bounds of the criteria”:
More difficult, risky? I don’t think so. It looks as a transparent method and very easy to understand. In my opinion its only drawback is using subjective weights.
Do you have a software for SPOTIS?
I hope my comments may be useful to your paper.
Nolberto Munier
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I sign my name under each of your evaluations
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As you probably know and it has been said in the articles, for example, this method does not work 100% for the rest of the work. For this reason, every researcher should increase and decrease different conditions and variables in their experimental tests to reach an optimal and correct method.
I would be happy if you active researchers in this field express your opinion and solution.
Thank you in advance for your kind opinion.
Good luck to you dear researchers.
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Hello!
Microplastic is a generic term used to refer to all plastic particles (whether primary or secondary) less than 5 mm in size (the size range of the particles is also a topic of debate among different researchers). Unlike most other types of environmental pollution, the term "microplastic" does not refer to a single type of pollutant. There is a large variety of different plastic polymers with different shapes, sizes, and physicochemical properties. Differences in such properties result in varying particle behavior in the environment. Therefore, establishing a scientific method suitable for studying every possible plastic particle with 100% accuracy is very difficult. Moreover, microplastics interact with (bio)chemicals in the environment. This interaction may give rise to other properties that possibly hamper analyses. Furthermore, studying microplastics becomes increasingly more difficult when they are heterogeneously distributed in a medium like soils or sediments. Although certain methodologies are accepted as integral to microplastic studies (such as extraction, purification, and physical and chemical characterization), researchers are cautioned to mention that a standard scientific method to monitor these pollutants, similar to other contaminants, is not yet established.
Best of luck.
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Robotic surgery is the future - any opinion or thoughts? Would like to hear everyone’s thoughts
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Amritpal Singh Many thanks , Yes in a respect but still only few pockets and the larger part of the world still is untouched by it.
Do you see it becoming the bedrock like laparotomy / laparoscopy ? Or do you see it phasing out and declining eventually . With AI , tele surgery and VR super imposed , what vistas could it lead to , the possibilities seem far reaching .
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It's just a more general question. I understand that the objectives and methodology must be considered
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