Hearing - Science topic

WriteWise is an AI-assisted writing tool that offers important advantages, such as improving the structure and clarity of texts, correcting grammatical and stylistic errors, saving time on revisions, and adapting to different types of academic or professional writing. In addition, it provides AI-based feedback, which makes it especially useful for non-native users or those who need to optimise their texts quickly. However, overuse can lead to dependency, limiting the development of writing skills, and its ability to understand creative or contextual nuances is limited.

Disadvantages include the cost of premium features, potential privacy issues with uploaded data, and the inability to fully replace human review, especially in texts that require empathy or deep analysis. Although it is a valuable tool for optimising writing, it is recommended to use it as a complement and not as a substitute for human judgement, combining it with peer review or mentoring to ensure the quality and originality of the content.

There are so many answers to this prompt, For example, intellectual property protection, sharing awareness, cognitive limitations, etc.

This has been discussed several times before. Here is a selection:

See also:

Hope this helps:

Here’s a list of possible questions with embedded examples for assessing subscription model readiness:

1. Does your product/service require regular updates, replenishment, or ongoing support? (E.g., Software needing patches, consumables like razors/groceries, or machinery requiring maintenance.)

2. Could recurring engagement significantly increase customer lifetime value? (E.g., A treadmill company adding live fitness classes and upgrades via subscription.)

3. Are your core products becoming interchangeable with competitors’ offerings? (E.g., Generic headphones shifting to a "tech-as-a-service" model with bundled warranties and upgrades.)

4. Do you have direct access to customer data and behavior insights? (E.g., A B2B software firm tracking feature usage to upsell tailored subscription tiers.)

5. Can your logistics/billing systems handle recurring deliveries or services? (E.g., A meal-kit company scaling regional deliveries with a subscription model.)

6. Are customers increasingly prioritizing access over ownership? (E.g., SMEs preferring cloud tools like Adobe Creative Cloud over one-time licenses.)

7. Do complementary services (e.g., maintenance, training) drive profitability? (E.g., Printer companies earning more from ink subscriptions than hardware sales.)

8. Do external factors favor shared/sustainable consumption? (E.g., Furniture rentals aligning with circular economy policies.)

9. Is your revenue unstable due to cyclical demand or economic shifts? (E.g., Luxury car brands offering subscriptions to stabilize cash flow.)

10. Have limited experiments with subscriptions shown promise? (E.g., A cosmetics brand’s monthly sample box with high retention rates.)

11. Is your business equipped with IoT, AI, or cloud tools to enable subscriptions? (E.g., Industrial equipment with IoT sensors enabling predictive maintenance subscriptions.)

12. Are customers explicitly requesting pay-as-you-go or customized access? (E.g., Farmers asking for machinery rentals instead of purchases.)

13. Do customers rarely return after a one-time purchase? (E.g., A fitness app losing users after the first month unless it adds community features via subscription.)

14. Do you have a flagship product that could act as a subscription gateway? (E.g., Apple using iPhones to drive subscriptions for iCloud or Apple Music.)

15. Are new entrants gaining market share with subscription models? (E.g., Rent the Runway disrupting fashion retail with clothing rentals.)

Also:

16. What customer pain points in [sector] can a subscription model uniquely address?

17. How do pricing strategies (e.g., tiered, usage-based) affect adoption rates?

18. What operational shifts (e.g., supply chain, IT systems) are critical for transition?

19. How do regulatory environments influence subscription model feasibility?

20. What metrics (e.g., Customer Lifetime Value, churn rate) define success?

I'm not sure I fully understand the desired outcome, but I can offer some insight. The high salt concentration and heat will probably lead to gold nanoparticles (AuNPs) aggregation. If the RNPs are bound to the AuNPs, this will lead to RNP aggregation, which I assume is a bad outcome. Low buffer concentration of 20mM without excess salts would be preferable for the AuNPs.

Are there free AuNPs in the solution and RNP-AuNP complexes that require separation? If both complexes are large, they would both be blocked by the Vivaspin filter. You could try purification via CL6B Sepharose matrix - it is suitable for separation of large complexes. Separation via agarose gel electrophoresis may also be viable.

If you wish to remove the AuNPs completely, a chelator could specifically break down the AuNPs. Examples include EDTA, potassium cyanide and thiosulfate, but they have disadvantages. The literature may provide useful insight and protocols. After chelating the AuNPs, use Vivaspin or a G-25 column to remove excess Au salts and chelator.

Dear Ivan Lux You directed your question to the open Q&A section here on RG and not to someone of the RG team (it is unlikely that anyone of this team will see this question).

If your question is how the reads are counted here on RG as can be found here

see

I noticed that a pdf file is present (from psi.edu) so I wonder how many researchers interested in your work will buy the e-book if it is available for free.

Best regards.

PS. I see that the book gathered an impressive amount of citations so in that respect it must have been worthwhile.

Hello

I have contacted them many times, A few cases, I did not receive any answers! but for the rest of the times that they answered, there was not a fix time table, a day to several days and more. Also all the time that I received an answer there was just a "Sam" in signature.

I don't know if it (Sam) is a first name, last name, nickname or anything else...

But all in all, were strong enough to encourage me to stay away from them as far as possible!

Also please have a look at the following frozen discussion

I can suggest quantum statistics and anions

For topics of recent interest..

Dear Sura,

Congratulations on this wonderful achievement, it really amazes me... I knew that the time would come for you to have your own writings away from our team, this success makes us all happy... I have read excerpts from it, it is wonderful, although it is not my exact field of expertise, but I liked it and found it interesting and commendable... Congratulations my dear, I wish you more and more success... Best regards and wishes.

Manal

Pedagogical Materials & Philosophical Resources on Standpoint Theory: https://www.teacherspayteachers.com/store/philosop-her?search=standpoint

Hi! There is a very good list published on this website where you can find methodological articles and reviews of its application in management research https://www.smartpls.com/documentation/literature/recommended-readings

That’s a fascinating approach, Stig! Leveraging AI tools like ChatGPT can indeed accelerate the writing process and provide immediate insights, as you’ve experienced. It's exciting to see how "Research 5.0" is not only transforming the way we conduct research but also enabling new, efficient ways to collaborate and create. Your experience with using AI to co-write your book demonstrates the potential of AI in enhancing productivity and knowledge creation. Thank you for sharing this inspiring example!

I have experience in radar infrastructure and cybersecurity requirements during the deployment of 5G spectrum. Also law enforcement applications of AI.

Dear researchers,

The chapter proposal time is extended to January 19th, 2025!!

We are waiting for your chapters...

Related article to this discussion is available on ResearchGate titled: "Buddha and Buddhism in and around Rajagriha" (Kamalika Ghosh, June 2023). Interesting article to read.

Mourad Boufadene simulation of a nonlinear matrix AAA in Simulink without utilizing the Fcn block. Simulink provides several tools and techniques for implementing nonlinear systems and matrices in a structured way. Below is a step-by-step approach to guide you through the process:

Example:

Let us simulate the following nonlinear matrix:

A=[sin⁡(x)x2eycos⁡(y)].A = \begin{bmatrix} \sin(x) & x^2 \\ e^y & \cos(y) \end{bmatrix}.A=[sin(x)ey​x2cos(y)​].

By following this approach, you can successfully simulate nonlinear matrices in Simulink without relying on the Fcn block.

I hope this explanation provides clarity.

To address the risks posed by the increasing integration of AI in companies—potentially rendering some university majors obsolete and leading to job displacement—it is crucial to reimagine education at the school level to equip students with future-ready skills. Here's what schools can do to minimize these risks:

Thank you so much for your comments

Ensure that there is no missing number in the dataset

Hello Lingyu,

I'm not sure if there is an optimal way to do it with roary_plots.py, since hundreds of genomes will still be many rows. Looking at the code of roary_plots.py, you should be able to increase the width of the tree to improve the clarity by changing the “colspan” parameter in the tree display. You can also improve the size and resolution of the image with the “figsize” and “dpi” parameters.

Best regards,

Adrian

I'm in

You welcome

My thoughts from a therapy point of view:

From a therapy research perspective, the concepts of research and evaluation also take on distinct but complementary roles, similar to the educational context. However, they are often applied with a focus on therapeutic outcomes, interventions, and client well-being. Here's how they can be understood in this field:

Research in Therapy

In therapy, research aims to generate new knowledge, test theories, and validate therapeutic approaches. Researchers in the field might explore questions like:

How effective are certain therapeutic interventions (e.g., CBT, psychodynamic therapy)?

What mechanisms underlie mental health disorders or therapeutic change?

How do individual differences (e.g., cultural background, trauma history) influence therapy outcomes?

Therapy research often seeks to develop evidence-based practices (EBP), which rely on rigorous studies and data collection to determine which therapeutic techniques are effective for different populations. For example, research might explore whether Carl Rogers' core conditions (e.g., empathy, congruence, unconditional positive regard) are sufficient for producing change across diverse client groups.

Research is broad in scope, ranging from randomized controlled trials (RCTs) to qualitative studies that explore client experiences in therapy. The results of this research can then be generalized and used to inform clinical practice across various settings.

Evaluation in Therapy

On the other hand, evaluation in therapy focuses more on applying research findings to assess the effectiveness of specific interventions, programs, or therapists within a particular context. For instance, evaluation is used to:

Assess whether a specific therapy approach (e.g., trauma-informed therapy) works for a specific client population (e.g., refugees or veterans).

Monitor a client's progress in therapy using outcome measures and clinical assessments.

Evaluate the success of a therapeutic program (e.g., a mental health intervention at a community clinic) based on predefined goals and objectives.

Evaluation is typically more localized and specific to the context in which it is used. For example, a therapist might use evaluation tools to track a client's progress over time, adjusting the treatment plan based on ongoing assessments. Program evaluation, on the other hand, involves assessing how well a therapeutic service (e.g., a group counseling program) achieves its intended outcomes.

Overlap Between Research and Evaluation

While research often seeks to build knowledge and test new hypotheses, evaluation is more about using that knowledge to make practical decisions in real-world therapy settings. They overlap in methods, such as using data collection, client feedback, and outcome measures, but differ in their primary goals. Research generates knowledge, while evaluation applies that knowledge in specific contexts to inform clinical decisions and improve client outcomes.

Peer-Reviewed Literature:

1. Research on Therapy Efficacy: Wampold and Imel (2019) emphasize that research in psychotherapy is aimed at determining which therapeutic modalities are most effective for which clients. They focus on the importance of evidence-based practices that are informed by rigorous research trials (Wampold & Imel, 2019).

2. Evaluation in Therapy: Lambert et al. (2020) highlight that client progress monitoring, an evaluation process, is a critical tool in therapy. Therapists use real-time data to adjust interventions, which improves client outcomes over time (Lambert et al., 2020).

3. Integrating Research and Evaluation: Norcross et al. (2021) discuss the integration of research and evaluation in clinical practice, showing that both research on therapeutic interventions and ongoing evaluation of individual client progress are necessary to enhance therapy outcomes (Norcross et al., 2021).

References:

Lambert, M. J., Harmon, C., Slade, K., & Whipple, J. (2020). Outcome and session rating scales in clinical practice. Journal of Clinical Psychology, 76(5), 937-951. https://doi.org/10.1002/jclp.22922

Norcross, J. C., Hogan, T. P., & Koocher, G. P. (2021). Psychotherapy relationships that work: Evidence-based responsiveness. Oxford University Press.

Wampold, B. E., & Imel, Z. E. (2019). The great psychotherapy debate: The evidence for what makes psychotherapy work (2nd ed.). Routledge.

Both fields—education and therapy—use research to build broader knowledge and evaluation to apply that knowledge in context-specific ways to inform practice and improve outcomes. Does this help clarify the distinctions from a therapy perspective?

-Erin

Dear Saily Valadez, you raise an important, but not entirely simple question.

The distinction between 'research' and 'evaluation' lies in their objectives, methods, and areas of application.

Research aims to generate new knowledge or expand existing knowledge. It is often theory-driven and exploratory, seeking to discover or understand fundamental principles. Research investigates open questions and tests hypotheses to systematically gain new insights. In contrast, evaluation focuses on assessing the value or effectiveness of an existing practice, program, or intervention. It seeks to evaluate outcomes, processes, or structures to determine whether specific goals have been met.

In terms of methods, research employs a wide variety of approaches, including qualitative, quantitative, experimental, and non-experimental methods, often aimed at developing new theories or models. It can be exploratory and is often foundational or applied in nature. Evaluation, on the other hand, tends to use more standardized or pragmatic methods (such as surveys, interviews, or data analysis) to answer specific questions about a project or program. Its goal is to provide measurable results based on concrete criteria or benchmarks.

Regarding areas of application, research is conducted in various fields, such as science, technology, social sciences, and medicine, and is typically long-term and broad in scope. Its primary goal is to contribute to general knowledge, without necessarily aiming for immediate practical application. Evaluation, however, is often carried out in practical fields like education, public administration, healthcare, development aid, or project management. It is more practice-oriented and seeks to provide actionable insights to improve programs or decision-making processes.

In summary, research seeks to uncover new knowledge and theoretical foundations, whereas evaluation assesses existing measures or processes to determine their effectiveness or efficiency.

Just in case someone visits this question, the problem is mainly as others indicated with standard #1 reading. If this happens, just change the working solution and reagent and everything will work fine.

Dear Elizabeth De-Ben Rockson

I am a PhD student in Business Management

I am very interested to do research with a researcher outside my country.

Of course, I am currently working on a research whose main question is:

How and to what extent social media can cause the growth and development of the organization and influential factors such as innovation, economic growth, etc.?

Finding a professor interested in supervising a PhD student in Applied Mathematics involves a few steps. Here's a strategy to identify potential advisors:

Feel free to send the questionnaire to iolubodun@oauife.edu.ng

To obtain permission to use the ENSS tool, contact the tool's provider or administrator directly through their official website or support channels. You may need to request access via a registration form or application process and provide relevant details about your use case.

Interested not interwoven

The audiology profession discontinued the master's degree in 2012, consequently - no master's thesis since then in the U.S. Most Doctor of Audiology (Au.D.) programs do not require a research component for graduation as it is a professional, not a graduate, degree. However, a few require a 'Capstone' research project; but they may not be published. You could look at the American Auditory Society's journal and AAA's Journal of the American Academy of Audiology. Another source would be to look for Ph.D.'s dissertations in areas like auditory neurophysiology, etc. They would typically come from Departments of Communication Sciences and Disorders.

These questions are tricky in physics but not sure pure maths have limitations:

These questions are tricky in physics, but not sure pure maths have limitations:

1. Isn't because time flows only toward the future or past, which makes it stays on one axis, hence, 1 single axis or dimension?

2. If someone's time flows in several time axes, it basically means the person leaves in parallel time realities simultaneously, I have not heard of an experiment proving this, my understanding is that the Einstein general relativity proves time can flow (faster or slower) due to gravity (slower as you approach a black hole for instance, shown in the Schwarzschild's equation), maybe I am wrong.

3. Unless you have specific cases with limited intervals and boundaries, the maths solving methods sholud apply, for instance, what will be wrong with the Laplace Transform to solve your point 4. equation?

4. Use the Laplace transform.

Dear Tarek Salem Elmourad ,

Artificial intelligence (AI) can support education by automating administrative tasks, freeing teachers to focus more on teaching and personalized interactions with students, enhancing rather than replacing human-led teaching.

https://www.weforum.org/agenda/2024/04/future-learning-ai-revolutionizing-education-4-0/#:~:text=Artificial%20intelligence%20(AI)%20can%20support,than%20replacing%20human%2Dled%20teaching.

Regards,

Shafagat

Danny Oswell

To improve our cities, we should try out different ideas like new park designs, traffic patterns, or building layouts in small-scale experiments first. This means testing things on a small part of the city before making big changes everywhere. By doing this, we can see what works well and what doesn't without spending a lot of money or causing big disruptions. For example, we could test a new bike lane on one street to see if it reduces traffic and helps cyclists. If it works, we can expand it to other areas. This way, we make our cities better by learning from these small experiments.

If i understand your question correctly then yes. For example multivariate multiple regression allows to take into account multiple dependent variables.

Hi, Acidophil Jia - it has been few years I saw the trend is towards respecting and listening to the patients as a full functioning human being, not an object of manipulation and experimentation by dictators in the health care but a holistic meaningful being that must be equally treated by the health care professionals with humanity intact especially for their rights, freedom and social justice from all aspects with humble gestures, not arrogant and looking down to people who are not among health care professionals via Phenomenology Methodology research esp IPA for more in-depth findings.

"We should aim to shape a future where transnational education serves as a catalyst for positive change, fostering collaboration, understanding, and innovation on a global scale.

Embracing transnational education is not merely a response to the challenges of the digital age but a proactive strategy to foster global citizenship and drive innovation in higher education. The goal is to prepare students, who are the next generation of leaders, scholars, and global citizens, to thrive in an increasingly interconnected world..."

Well there are not many women commenting here on ResearchGate, are there? What range of sexualities and interests? Where are you finding these?

Thank you Jahanzeb Sheikh

To create a risk management model linked to IT management strategy in an enterprise:

1. Identify IT-related risks and their potential impact on business objectives.

2. Assess the likelihood and severity of each risk.

3. Develop risk mitigation strategies, including preventive measures and contingency plans.

4. Implement risk management processes and procedures, integrating them into IT operations.

5. Continuously monitor and evaluate IT risks, adjusting strategies as needed.

6. Ensure clear communication and accountability for risk management across the organization.

7. Regularly review and update the risk management model to adapt to changes in the IT landscape and business environment.

You can first convert the "ATCG" hapmap format of your file to numerical genotypes format in TASSEL. Then simply write an appropriate scrip in to convert into the -1/0/1.

For example, here is how I convert my file from the 0/1/2 to 1/0/-1

file[file== "0"]<--1

file[file== "1"] <-0

file[file== "2"]<-1

You have to be careful the orders during conversion.

Dear Rene ( Rene Gilberto Steinhauer ) ,

Here is an theory of gravity where the ether is a part of a prori entity:

Parts with English translation:

Abstract:

Conclushion:

The graviton:

Reagards,

Laszlo

Mingyue Li Thank u very much for your response. Now, I get it noww.

Devin Lee, you may have already read this by now, but apparently the freebase can be induced to crystallize by recrystallization from boiling hexane, as per Shulgin, mentioned in the book TiHKAL, under the entry for 5-methoxy-DMT: "There was thus obtained 12.8 g (78%) 5-methoxy-N,N-dimethyltryptamine (5-MeO-DMT) which on recrystallization from hexane had a mp 69–70 °C." Recrystallization in this manner has been suggested to yield "waxy colorless crystals", according to at least one post on an online discussion board.

The LCMS-9030 quadrupole time-of-fight (Q-TOF) mass spectrometer integrates the world’s fastest and most sensitive quadrupole technology with TOF architecture. A product of Shimadzu's engineering DNA, speed and effortless performance enable the LCMS-9030 to address qualitative and quantitative challenges with genuine confidence and ease.

Tips which contain absorbent for sample prep have been around for decades. The idea or concepts are not new. Try a keyword search on the web to find examples.

Dear Nasim,

We have examined Fusarium toxins in cereal products in our laboratory as part of a project.

I can confirm Zvonimir Mlinarić 's statement that these toxins have structural isomers that do not or hardly differ in their retention times, masses and fragments. However, we did not focus on metabolites but only on the toxins. As MS we used the Thermo ID-X Orbitrap, so that we could calculate a sum formula for the LC-peaks with the help of the accurate mass, which then coincided with the sum formula of the toxins. The MS/MS spectra could also be found in Thermo Fisher's MZCloud database and thus the toxins could be clearly identified. This was the aim of the students' work. If you have the possibility to analyze your samples with HRMS, I would recommend it. I agree with Zvonimir Mlinarić that a shift in ionic ratios can be explained either by matrix effects or by the presence of various structural isomers. I consider the latter to be the probable cause.

Good luck with your work and best regards

Joachim

You need to design a questionnaire and a classroom observation checklist focusing on the areas of measurement. If you want to know how to do it, you can go through my papers on Dogme ELT.

I think this machine tries to do too much, and that eats into cost and practicality...

Personally, the flexibility of having a PC operate the machine is a much better option rather than having an integrated GUI. Sure, you may need a bit more bench real estate for a small PC workstation, but I'd like to highlight a few points on how its better and how Thermo may be losing sight of what costumers need and benefit from. First, configuring an imager to a network or transferring large files via USB is an unnecessary, and possibly tedious step. Relying on a USB stick is likely to be what most occasional users might do and this also increases the chances of cross-contamination with potentially harmful reagents. Secondly, from my personal experience of using the highest-end model (iBright FL1500 Imaging System), I immediately noticed how slow and clunky the interface is. Why charge extra premiums by adding all the extra peripherals to run the imaging and analysis software when it only eats into the cost of the device and the hardware is sluggish? It ultimately makes for a very, VERY unpleasant operating experience. Removing the onboard interface would reduce the price by a large fraction and just a small portion of those savings can afford the user a PC that's going to perform better in every way.

Emptying the stored data to make room for new data? Tedious extra step. Processing units and digital peripherals need a firmware or software update or repair costing you thousands in tech support from Thermo? A tedious (and costly) extra step. Having to wait for a colleague to not only image their gel but also analyze results on the touchscreen? Tedious and time-consuming extra steps; I don't know why anyone would want to stand in front of a machine and play with parameters (that take literal tens of seconds to load) after imaging when it makes a lot more sense to do it at a desk with a faster, more powerful computer... Why Thermo encourages its equipment users to do this and thinks it's convenient is beyond me, now you've got buffer spots all over the touchscreen! Alternatively, a computer hooked up to the machine which only provides the essential hardware to operate is much easier. Run out of space? No problem, swap out a drive, or the whole computer, I dont care and nobody else does, but that's highly unlikely because affordable PCs routinely come equipped with terabytes of storage which would likely last a busy lab years (in comparison to the 256 GB of storage onboard the highest-end model).

Now to the worst part of the entire machine: the automated drawer... When I have a busy day at the lab, the last thing I want to do is wait for a sluggish interface to decide to initiate the drawer opening function when my brain and hand can execute the same task efficiently (I don't actually know if my brain and hand are more efficient, you'd have to run some serious metabolic calculations and compare that to the wattage of the thermo system), oh and it also takes time to initiate the drawer closing function. I just wish we could have a company that realizes that all we want is the same hardware functionality without all the silly bells and whistles that 90% of users won't touch or appreciate and that ruin science for everyone and steal tax money from everyone. Dont buy it

very helpful Eddie Youssef Gazo Hanna . Thanks!

Dear Jose Belda-Medina,

I share your curiosity about the use of AI in research, particularly from the perspective of journal editors, editorial members, and reviewers. It's indeed a fascinating area with the potential to revolutionize various aspects of the academic publishing process.

AI technologies can contribute significantly to enhancing the efficiency and effectiveness of scholarly publishing. Automated systems can assist in manuscript screening, plagiarism detection, and even aid in the peer review process by identifying relevant literature, checking statistical analyses, and highlighting potential ethical concerns.

However, as with any technological advancement, there are also concerns and considerations to be addressed. It's crucial for the academic community to discuss and establish guidelines for the ethical use of AI in research, ensuring transparency, accountability, and fairness. Striking the right balance between human expertise and AI assistance is essential to maintain the integrity of the peer review process.

It would be valuable to hear your thoughts and those of our colleagues on how AI is currently being integrated into the scholarly publishing landscape and the potential impact it may have on the academic community. Let's continue this conversation and stay informed about the latest developments in this exciting intersection of technology and academia.

Kindly find this recent published article on the use of ChatGPT in higher education.

Unfortunately, this is not novel. Many have already done that. You're looking for is CRISPRi (silencing) and CRISPRa (promoting).

Acts of kindness in the workplace have a significant impact on overall positivity throughout the working environment and employees’ wellbeing. Studies have showed that acts of kindness, however small and seemingly insignificant, act as buffers to stress and difficult working conditions. Kindness creates a positive work culture, leading to higher employee engagement, increased job satisfaction, and even improved bottom line results. Workplace kindness is when you offer a positive attitude and goodwill toward those you work with.

Hello, I am conducting a survey on Kindness at your Workplace and I would love to hear from you. It is all anonymous and super fast to complete. Here is the link for it & kindest regards Professor Mönica Mastrantonio https://www.smartsurvey.co.uk/s/PE7UDM/

Prof. Maciej Knapik: From my point of view, ResearchGate (RG) is the best attractive academic social networking portal for the scientific community. In practice, RG is one of the biggest social media networks for the scientific community. It is a platform and a gateway for sharing information and experiences between scientists, experts, researchers, and practitioners. Hence, I am grateful to the network opportunities offered by RG for having this access to a broad range of researchers, papers, projects, questions, and discussion threads that otherwise I can't find. In a nutshell, ResearchGate (RG) is a kind of social media with a strong academics/research emphasis.

It depends on your interest area.

you can search for areas related to Green Financing, Green Economy and also, financing SDGs.

I'm willing to assist you in seeking guidance for your master's thesis in biotechnology for the bioeconomy. A great starting point is exploring internship opportunities within relevant companies in your field. You can begin by researching companies involved in biotechnology applied to the bioeconomy through corporate websites, job boards, or even by reaching out to professionals or professors who might have information about available internships.

Regarding your thesis topic, consider delving into current trends in biotechnology for the bioeconomy. This could encompass areas such as sustainable biofuel production, biotechnology applications in agriculture to enhance crops and reduce environmental impact, or the development of biodegradable biomaterials to replace non-recyclable plastics.

Once you secure an internship or identify an area of interest for your thesis, explore how current research in that field aligns with the company's objectives or the latest scientific and technological advancements. This will help you define a specific and relevant thesis topic.

Feel free to ask your professors or industry experts about potential thesis topics or advice on approaching companies for internships. Collaborating with industry professionals can provide valuable insights and opportunities for your research and professional development. Best of luck in your search!

SciTech Central Conferences is organizing a “47th World Seminar on Women Health & Nursing (SciTech Women & Nursing 2023)”, SciTech Women & Nursing 2023 scheduled on December 13-14, 2023.

You can contact, this will open the opportunity you looking for.

Hello Mariano,

It is pretty common to have carry-over analyzing plasma/serum samples. Someone recommended me the use of Trifluoroethanol to wash out all retained peptides. Basically you just use it as a sample and inject 1 or 2ul direct onto the column with a relative short gradient. It does not damage the column in my experience, so maybe you can give it a try in the future.

Good luck!

Email the researcher. Contact information is on this website: https://journals.sagepub.com/doi/abs/10.1177/17411432221145408

COPE considers questionnaires fair use unless commercially protected or explicit procedures. In that case, you'd use the instrument but not reproduce it verbatim in your publication.

Artificial Intelligence (AI) has become an integral part of our lives, from voice assistants to recommendation systems. However, as AI continues to advance, it is crucial that steps are taken to ensure fairness and inclusivity in its development. By incorporating these steps into the AI development process, developers and organizations can work towards creating AI systems that are not only technically proficient but also fair, transparent, and inclusive for diverse user groups.

Firstly, it is essential to have diverse teams working on AI development. A diverse team brings different perspectives and experiences to the table, which helps in identifying biases and ensuring a fair representation of all users. By including individuals from various backgrounds such as gender, race, ethnicity, age, and socioeconomic status in the development process, we can minimize the risk of biased algorithms that may discriminate against certain groups.

Secondly, transparency should be a fundamental principle in AI development. Developers must provide clear explanations for how their algorithms make decisions or recommendations. This transparency allows users to understand why they are receiving certain outcomes and helps identify any potential biases or unfairness in the system. Additionally, making the source code open-source or subjecting it to external audits can further enhance transparency and accountability.

Moreover, continuous monitoring and evaluation of AI systems are necessary to ensure fairness and inclusivity. Developers should regularly assess their algorithms for any unintended consequences or biases that may arise over time due to changing user behavior or data patterns. If biases are identified during this process, appropriate measures should be taken promptly to rectify them.

Furthermore, involving users in the design process can significantly contribute to fairness and inclusivity in AI development. User feedback should be actively sought throughout the entire development cycle – from initial design stages to post-deployment evaluations. This user-centered approach ensures that AI systems meet the needs of diverse user groups while avoiding discriminatory outcomes.

Lastly, collaboration between developers/organizations and regulatory bodies is crucial for establishing guidelines and regulations regarding fairness and inclusivity in AI development. By working together, they can create standards and frameworks that promote ethical practices and hold developers accountable for any biases or discriminatory outcomes.

In conclusion, ensuring fairness and inclusivity in AI development is of utmost importance. By incorporating diverse teams, promoting transparency, monitoring algorithms, involving users, and collaborating with regulatory bodies, developers and organizations can create AI systems that are not only technically proficient but also fair, transparent, and inclusive for all users. It is our responsibility to shape the future of AI in a way that benefits everyone while minimizing biases and discrimination.

I'd agree with Dr. Sudhakar Pattanaik

The aim of research is to develop new knowledge, whilst study is the learning, and uptake of, existing information.

Bw

Chris Ide

Dear Prof. Mohammad Reza Azadehfar ,

Hi,

you only need to collect information about Korea?

Sorry outside of field

Best Suppliers, Cost including software licence if any?

Amar Al Okla Augmented reality (AR) has been making significant strides in the field of neurosurgery, offering numerous benefits for education, preoperative planning, and intraoperative guidance. Here are some insights into how AR is being utilized:

However, it's essential to note that the adoption of AR in neurosurgery is still in its early stages in many clinical settings. Challenges include the cost of AR equipment, the learning curve for surgeons, and the need for robust and reliable software. As technology continues to evolve, we can expect even more sophisticated and widespread use of AR in neurosurgery, ultimately benefiting both patients and medical professionals.

Yes, l agree , but more research is needed

Given that congenitally blind people get motion sickness, it would suggest a conflict that is both intra-sensory rather and maybe also inter-sensory.

LACKNER, J. R., & GRAYBIEL, A. (1979). Susceptibility to Motion Sickness. Aviation, Space, and Environmental Medicine.

Notes about the fact that sensory conflict not necessarily needing a visual cue.

I believe there could be a conflict within the inner ear, without need for vision based on signal rates and afferent signal discharge variabilities in the inner ear which are in conflict. Just a thought.

Jenn C Serra

Hi

I appreciate you sharing Ed's response, it's extremely helpful and insightful. I'm sure it will be beneficial for anyone facing the same issue.

Best.

Here are a few commonly used reading assessment tests that you may consider:

I can suggest some potential approaches to finding someone who can validate your research questionnaire.

When reaching out to potential validators, be polite and respectful of their time. Clearly explain the purpose of your research, your research question, and what kind of feedback you are seeking. Remember to provide sufficient context and details about your questionnaire to facilitate a constructive review.

Good luck with your research, and I hope you find the right validator to assist you with your study!