allenai/openscilm_queries huggingface dataset:
Query: Incorporating drug action information enables direct observation of therapeutic effects on distinct tumor cell subpopulations. This approach facilitates a detailed understanding of the mechanistic pathways involved in drug response and resistance. By comparing these observations with gene expression data, it becomes possible to identify which pathways are activated or suppressed in response to therapy, leading to deeper insights into intratumoral heterogeneity (ITH) and treatment outcomes.
paraphrase this paragraph
Subject: medicine
Intent: Other
Query: Response of Drug Mechanism Agent:
Bosutinib works for this patient because it targets the SRC family kinases, including LYN, which is overexpressed in this patient, and inhibits the BCR-ABL pathway, which is involved in triple negative breast cancer
Bosutinib works by inhibiting BCR-ABL and SRC family kinases, which are involved in B-cell receptor signaling.


Can you annotate above statement from Drug Mechanism Agent with reference(s) of scientific reference Drug Mechanism Agent? 

Subject: medicine
Intent: Literature Understanding
Query: The gaming industry has experienced significant evolution over the past decade, characterized by platform diversification and innovative monetization strategies. This transformation has been driven by technological advancements and changing consumer preferences, leading to the emergence of various gaming platforms, including Personal Computers (PCs), Consoles, Mobile devices, and Virtual Reality (VR) systems.Mobile gaming has become a dominant force in the industry, largely due to its accessibility and the widespread adoption of smartphones. Developers have effectively employed hybrid monetization strategies, combining in-app purchases with in-app advertising to maximize revenue. In China, for instance, approximately 60% of mobile game revenues are derived from in-app advertisements, indicating a balanced approach between player spending and ad-based income.
Subject: business
Intent: Other
Query: My research paprer is a Constructivist Grounded Approach to Study the Ethical Implications of AI Use in Human Resources Management . Here below are the research questions and research objective : 1.What are the primary ethical concerns associated with AI use in Human Resource Management, and how can a conceptual framework address these concerns? 2. How do algorithmic biases manifest in AI-driven HRM processes, and what strategies can mitigate them? 3. What are the implications of AI-driven data collection on employee privacy, and how can organizations balance AI benefits with data protection? 4. How can transparency and explainability be incorporated into AI-driven HRM systems to enhance trust and accountability? 5. What governance structures are necessary to ensure accountability when using AI in HRM? 6. How can ethical considerations be integrated into the deployment of AI systems in HRM? 7. What are the broader implications of ethical AI practices in HRM for organizational culture and employee well-being? Research Objectives: Objective 1: Identify and analyze key ethical issues associated with AI in HRM. Objective 2: Develop a comprehensive ethical framework integrating legal and ethical considerations. Objective 3: Provide practical guidelines for ethical AI deployment in HRM. Objective 4: Contribute to academic knowledge and inform policy development on ethical AI use in HRM. 

advise  on how to integrate  existing frameworks, such as the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems, to provide a more comprehensive and robust conceptual framework for addressing ethical concerns in AI-driven HRM, and  help establish a strong foundation for your research and provide a clear understanding of the ethical implications of AI use in HRM (Mylrea et al. 2023).
Subject: business
Intent: Literature Understanding
Query: Taxifolin exhibits a variety of pharmacological effects, including antioxidant, anti-inflammatory, hepatoprotective, anticancer, and neuroprotective. It effectively scavenges ROS, enhances antioxidant enzymes, and inhibits inflammatory responses through the NF-κB and PI3K/Akt pathways. Taxifolin protects the liver by reducing oxidative stress and apoptosis, while also demonstrating anticancer effects through cell cycle arrest and tumor suppression. In Alzheimer's disease models, it attenuates amyloid beta accumulation and neuroinflammation. Taxifolin also exhibits antibacterial, antiviral, and antiangiogenic effects, showing broad therapeutic potential.
Subject: medicine
Intent: Other
Query: Help me review this paper: Two Heads Are Better Than One: A Multi-Agent System Has the Potential to Improve Scientific Idea Generation. Abstract: The rapid advancement of scientific progress requires innovative tools that can accelerate discovery. While recent AI methods, particularly large language models (LLMs), have shown promise in tasks such as hypothesis generation and experimental design, they fall short in replicating the collaborative nature of real-world scientific practices, where diverse teams of experts work together to tackle complex problems. To address the limitation, we propose an LLM-based multi-agent system, i.e., Virtual Scientists (VirSci), designed to mimic the teamwork inherent in scientific research. VirSci organizes a team of agents to collaboratively generate, evaluate, and refine research ideas. Through comprehensive experiments, we demonstrate that this multi-agent approach outperforms the state-of-the-art method in producing novel and impactful scientific ideas, showing potential in aligning with key insights in the Science of Science field. Our findings suggest that integrating collaborative agents can lead to more innovative scientific outputs, offering a robust system for autonomous scientific discovery. Only review the novelty and contribution of this abstract instead of the full paper. You should compare this work with more previous works.
Subject: computer science
Intent: Paper Understanding
Query: Furthermore, the increasing occurrence of compound extremes has been linked to the intensification of harmful algal blooms (HABs), particularly in freshwater systems during droughts followed by extreme precipitation. The stressors caused by these extremes, including warming water temperatures and nutrient loading, create ideal conditions for HABs, which pose significant risks to both aquatic ecosystems and human health . find relevant DOIs with links to support
Subject: environmental science
Intent: Paper Finding
Query: To expand the content of the following literature review, it is necessary to mark the citation source, and it is better to cite more literatures after 2019: This section would apply evolutionary game theory to analyze knowledge sharing decisions in new energy vehicle supply chains. It would introduce the evolutionary game model used in the study, discuss the key parameters and assumptions, and present the results of the analysis. The section would also discuss the implications of the findings for knowledge sharing decisions in new energy vehicle supply chains, including the impact of different knowledge sharing strategies on supply chain performance.
Subject: math
Intent: Literature Understanding
Query: 1. Please summarize the key evaluation methods and metrics used to measure privacy and utility in recent papers on Privacy and Utility Preserving Data Anonymization and Privacy and Utility Preserving Synthetic Data Generation. Focus only on the essential ones.

2. If there are any studies that analyze the strengths and weaknesses of different utility metrics(or evaluation methods) used in Privacy and Utility Preserving Data Anonymization and Synthetic Data Generation research, please find and summarize them.

3. Please look for recent studies in the above fields that have been conducted on multi-modal datasets (e.g., image + text, audio + text), where different data modalities are combined.
Subject: computer science
Intent: Literature Understanding
Query: can you find me support for the idea that precision and recall are more important than accuracy in training an ORM: an outcome reward model, used for RL. Specifically when class imbalances are large, find me the relevant cases where precision and recall would be more important. For example, precision should be important if you REALLY don't want false positives. find support for that. And recall might be important when it's ok to train on bad samples, but you have very few samples, for example. find support
Subject: computer science
Intent: Literature Understanding
Query: can you please find papers on this
In the traditional educational model, students are viewed as active agents in their own learning. They engage with content, reflect on their progress, make choices about their learning strategies, and direct their intellectual journeys. This autonomy, often described as "student agency," is considered a key element of meaningful education. Agency fosters critical thinking, creativity, problem-solving skills, and a sense of ownership over one's learning. However, as generative AI technologies increasingly become embedded in educational settings, the concept of agency is being put to the test.
In the context of AI-driven education, students interact with systems that can make decisions on their behalf, offer tailored resources, generate content, and even evaluate their work. These technologies promise to personalize learning and enhance educational outcomes by providing students with customized learning paths. Yet, the question arises: when much of the educational experience is mediated by AI, what happens to student agency? Is the role of the student merely reduced to following AI-generated suggestions, or is there still space for genuine autonomy and self-direction in the learning process?

Subject: education
Intent: Paper Finding
Query: find sources related to the abstract below: 

Since late 2022, generative AI has taken the world by storm, with widespread use of tools including ChatGPT, Gemini, and Claude. Generative AI and large language model (LLM) applications are transforming how individuals find and access data and knowledge. However, the intricate relationship between open data and generative AI, and the vast potential it holds for driving innovation in this field remain underexplored areas. This white paper seeks to unpack the relationship between open data and generative AI and explore possible components of a new Fourth Wave of Open Data: Is open data becoming AI ready? Is open data moving towards a data commons approach? Is generative AI making open data more conversational? Will generative AI improve open data quality and provenance? Towards this end, we provide a new Spectrum of Scenarios framework. This framework outlines a range of scenarios in which open data and generative AI could intersect and what is required from a data quality and provenance perspective to make open data ready for those specific scenarios. These scenarios include: pertaining, adaptation, inference and insight generation, data augmentation, and open-ended exploration. Through this process, we found that in order for data holders to embrace generative AI to improve open data access and develop greater insights from open data, they first must make progress around five key areas: enhance transparency and documentation, uphold quality and integrity, promote interoperability and standards, improve accessibility and useability, and address ethical considerations.
Subject: computer science
Intent: Paper Finding
Query: Recent studies have increasingly highlighted the role of social media sentiment analysis in understanding cultural and socio-political trends, pointing to its importance as a lens through which public opinion can be gauged. For instance, studies by () demonstrate how large-scale sentiment datasets can map evolving online discourses around tourism, environmental issues, and local identity, thereby aligning with our focus on Montenegrin and Dalmatian cultural narratives. Such research also underscores the ongoing methodological advancements in lexicon-based tools like VADER, reaffirming its relevance for capturing nuanced digital sentiments
Subject: computer science
Intent: Other
Query: The comparative results presented in Table~\ref{tab:results} demonstrate clear performance stratification across different fusion architectures. Graph-based methods show superior performance, with the proposed DGCNN achieving the highest accuracy of 92.7\% and consistently strong metrics across precision (94.2\%), recall (92.7\%), and F1-score (87.3\&). This superior performance can be attributed to DGCNN's ability to capture dynamic relationships between modalities through adaptive graph construction, significantly outperforming the traditional GNN approach by 13.3\% in accuracy.

Transformer-based approaches demonstrate competitive performance, with our proposed fidelity-aware fusion achieving 91.5\% accuracy, positioning it as the second-best method. The fidelity-aware mechanism's strong performance (88.1\% F1-score) validates the effectiveness of learned Beta distributions in modeling modality reliability. The standard transformer, while performing well (87.5\% accuracy), shows lower robustness compared to its fidelity-aware counterpart, particularly in F1-score (81.7\% vs 88.1\%), suggesting the importance of explicit reliability modeling in multimodal fusion. However, we see that the cross-attention mechanism used in transformer-based feature fusion is significantly effective in modeling the interaction between the modalities compared to fixed values binary edges used in traditional GNN. Figure \ref{fig:confusion} shows the confusion matrices for all the considered methods.

The baseline feature concatenation approach achieves modest results (67.1\% accuracy), significantly underperforming compared to both graph-based and transformer-based methods. This substantial performance gap ($>$25\% compared to DGCNN) emphasizes that simple concatenation fails to capture the complex inter-modal relationships crucial for emotion recognition.
Subject: computer science
Intent: Other
Query: 2.3.1 COSMO-SkyMed Dataset (2011-2020)

The COSMO-SkyMed constellation represents a cornerstone of this research's multi-sensor approach to urban monitoring. Developed through collaboration between the Italian Space Agency (ASI) and the Italian Ministry of Defense, this constellation has established itself as a pioneering platform for urban observation designed for both civilian and military use [158]. The dataset's temporal coverage from March 2011 to November 2020 encompasses crucial phases of Wuhan's vertical growth, providing an unprecedented opportunity to analyze urban transformation processes.

Technical Specifications and Acquisition Parameters
The constellation's X-band configuration, operating at a wavelength of 3.1 cm, offers distinct advantages for urban infrastructure monitoring [159]. For this study, data acquisition utilized the StripMap HIMAGE mode, achieving ground resolution of 3 x 3 meters with a mean incidence angle of 29.5° [159]. This specific configuration was selected to optimize the detection of vertical deformation patterns while maintaining broad coverage of Wuhan's rapidly evolving urban landscape. 
The dataset encompasses 386 scenes focused on Wuhan's central business district and emerging development zones. These acquisitions demonstrate remarkable temporal coherence, particularly valuable in urban environments where structural stability assessment is crucial. Analysis of perpendicular baseline distributions reveals consistent acquisition geometry throughout the monitoring period, with strategic variations that enhance sensitivity to structural changes. In built-up areas, the dataset achieved an average PS density of 850 points per square kilometer, enabling detailed monitoring of building displacement patterns [79]. 
" please help me refine this with correct citations and references
Subject: earth sciences
Intent: Paper Understanding
Query: Prior research has established that social media sentiment can affect asset prices (Bollen et al., 2011), and that high-profile executives’ communication carries market weight (Engelberg et al., 2012). However, Musk’s influence is unparalleled in scale and scope. His tweets have triggered SEC investigations (e.g., the 2018 "Funding Secured" incident), propelled cryptocurrency rallies (Corbet et al., 2021), and even altered retail investor behavior (Ante, 2023). Yet, no study has comprehensively analyzed the longitudinal relationship between the linguistic features of Musk’s tweets and Tesla’s stock performance, nor explored how market sensitivity to his communication has evolved amid regulatory scrutiny and changing media landscapes.

This study addresses these gaps by employing natural language processing (NLP) techniques to quantify the sentiment, novelty, and thematic content of Musk’s tweets (2015–2025) and correlating these variables with Tesla’s intraday and cumulative stock returns.

Subject: finance
Intent: Other
Query: V. Enhancing Strengths and Addressing Weaknesses with AI Fostering Student Strengths: Describe how AI identifies and encourages students’ strengths, helping them to build confidence and competence in those areas. Example: Language learning apps like Duolingo adapt to individual strengths, reinforcing vocabulary and grammar skills through targeted practice. Remediating Weaknesses: Explain how AI can diagnose specific weaknesses and tailor remediation efforts to address them, such as through extra practice problems or hints. Example: Math apps like Khan Academy target foundational gaps in understanding to improve math skills progressively. Write a one to two paragraph response with references
Subject: education
Intent: Literature Understanding
Query: Can you provide a detailed analysis of the molecular and cellular mechanisms by which the human papilloma virus (HPV) induces arrest of the host cell machinery, including its strategies for hijacking replication processes, the consequences of this interference on host cellular functions and overall health, the pathogenic pathways through which these disruptions lead to disease at tissue and organismal levels (incorporating immune response and tissue damage), and specific examples of clinical symptoms linked to these mechanisms, illustrating how they reflect the underlying viral pathogenesis?
Subject: biology
Intent: Literature Understanding
Query: This study investigates the psychometric assessment of students at the University of Dar es Salaam, focusing on data collected in 2020. The research aimed to evaluate the cognitive, emotional, and behavioral profiles of the students to better understand their academic performance, mental health, and social integration. A comprehensive psychometric evaluation was conducted using validated tools, including the Beck Depression Inventory (BDI) and the Big Five Inventory (BFI), to measure psychological well-being and personality traits, respectively. The sample consisted of undergraduate and postgraduate students across diverse academic disciplines, representing a cross-section of the student population.

Findings revealed significant correlations between academic performance and specific personality traits, particularly conscientiousness and openness. Additionally, a notable percentage of students reported experiencing moderate to severe levels of stress and anxiety, which were found to negatively impact their academic outcomes. The results underscore the importance of implementing targeted psychological interventions and support systems to foster student well-being and academic success. This study provides critical insights into the mental and emotional health landscape of university students in Tanzania and highlights the need for integrating psychometric assessments into student support programs to enhance the overall educational experience.
Subject: psychology
Intent: Other
Query: Background:
Although sleepiness at work is a factor that affects labor productivity, companies have not taken sufficient measures to prevent sleepiness. There have been several surveys on workers who feel sleepy at work, and it not only reduces labor productivity, but also reduces the happiness of workers due to lack of results, and is a factor in workplace accidents, which damages the profits of companies. Sleepiness at work is influenced by the effects of sleep, diet, blood sugar levels, etc., but the causal relationship has not been clarified.

Objective:
We surveyed literature that investigated sleepiness at work, and also surveyed literature that evaluated the causes and countermeasures of sleepiness at work.

Design:
A scoping review conducted October 2024 through January 2025.

Methods:
We searched bibliographic databases PubMed, Web of science, and Google scholar using words such as "workplace," "sleepiness" or "postprandial hypoglycemia," "productivity," and "measurement." The following studies were included. 1) Evaluations that included working hours. 2) Diabetes, heart disease, and other diseases were not included. 3) Not targeting patients with mental illness. 4) Evaluating sleepiness during work, not limited to sleep. 5) Published after 2014. 6) Article.

Results:

The search results included 590 articles. 9 articles were found to meet the established criteria. Six articles evaluated blood glucose levels, six evaluated sleepiness, and one article evaluated blood glucose levels and sleepiness simultaneously. The Karolinska Sleepiness Scale was the most frequently used outcome measure for sleepiness evaluation. Most studies that evaluated the effects of diet used controlled diets. There were some studies that used continuous glucose monitors (CGM) to evaluate blood glucose levels, but these were limited. The extracted literature also included light exercise and environmental light control as measures against sleepiness.

Conclusion:

Although there are few studies that focus on the analysis of the causes and measures of sleepiness during work, we found that sleepiness affects work productivity, diet affects sleepiness, and blood glucose levels can be a biomarker. These results suggest that further research into sleepiness at work is needed to improve companies' labor productivity and employee well-being.

Subject: occupational health
Intent: Other
Query: Can you modify this problem statement to address real research gaps: Despite the University of Ibadan's undergraduate students’ immense participation in contact sports, there exists a large number who do not participate because of the use of skin care routines and personal characteristics. While among those who participate, there is decreased desire to be fully involved by joining the school team, faculty team or departmental team, which reduces that participation to merely recreational. Even with an enviable potential in certain sports, some appear to be too conscious of their skin as they do not want the ball to touch them or get close to their face. Having their skin protected by sunscreen, some do not want to wear their sunscreens out. This seems to be more common amongst females who spend expensive amounts to take care of the largest organ in their body. Another major concern is the fear of being injured as frequent injuries can impact the skin.  Personality of individuals like shyness or being timid may affect their willingness and ability to engage in these sports. Some also do not like to be criticized which is a common occurrence in sports. With little or no knowledge of some sports before getting to the university, some struggle with adapting to these sports. This study seeks to address the gap in understanding how skin care routines and personal factors impact the participation of undergraduate students in contact sports at the University of Ibadan, ultimately aiming to enhance strategies that support and encourage their involvement.
Subject: sports science
Intent: Ideation
Query: Market and regulatory constraints also impede the growth of CSP in China. The CSP market framework remains underdeveloped, with the absence of long-term power purchase agreements (PPAs) exposing investors to heightened financial risks . Additionally, CSP has yet to establish a clear role in the electricity market, and its complementary integration with wind and solar power requires further optimization . Current electricity trading policies do not fully account for CSP’s thermal energy storage advantage, limiting its competitiveness and hindering its ability to secure more favorable market conditions 
Subject: energy policy
Intent: Other
Query: Plastic debris in the marine environment is widely documented, but the quantity of plastic entering the ocean from waste generated on land is unknown. By linking worldwide data on solid waste, population density, and economic status, we estimated the mass of land-based plastic waste entering the ocean. We calculate that 275 million metric tons (MT) of plastic waste was generated in 192 coastal countries in 2010, with 4.8 to 12.7 million MT entering the ocean. Population size and the quality of waste management systems largely determine which countries contribute the greatest mass of uncaptured waste available to become plastic marine debris. Without waste management infrastructure improvements, the cumulative quantity of plastic waste available to enter the ocean from land is predicted to increase by an order of magnitude by 2025.
Subject: environmental science
Intent: Other
Query: While abundant water resources have provided advantages, they have also made Wuhan long vulnerable to floods and water-logging. According to reports, at the beginning of the founding of the People's Republic of China, Wuhan's central area had as many as 127 lakes, but now only 38 remain. Other data indicate that over the past 30 years, Wuhan's urban area has increased by more than 200 square kilometers, while lake areas have shrunk by nearly 230 square kilometers. Over the past 60 years, nearly 90 lakes in Wuhan's urban area have disappeared.
During the rapid expansion of the city, limited land supply and rapid population growth forced lakes to make way for urban development. This also resulted in the loss of the lakes' original functions of water storage and flood diversion.
Subject: environmental science
Intent: Other
Query:  LLM to simultaneously learn to generate adversarial (attack) prompts and to defend against them. Rewards are assigned when an adversarial prompt elicits unsafe output in a defense setting and when, under a safety-oriented prompt, the model rejects dangerous content. Our experiment compares a unified model (with separate caches for each role) versus separate attacker and defender models and benchmarks these approaches against supervised finetuning,
Subject: computer science
Intent: Other
Query: Find papers on Skyrmion-Based Devices in the context of 2D Spintronics for Neuromorphic Computing with Scalability and Energy Efficiency - Explain the formation and manipulation of skyrmions in 2D ferromagnets. - Applications: Synaptic behavior with ultra-low power requirements. ( 10 fJ per skyrmion in some settings). More specifically, what needs to be done to advance this field?
Subject: physics
Intent: Paper Finding
Query: herapeutic management of acute myeloid leukemia primarily encompasses three cornerstone modalities: induction-consolidation chemotherapy regimens, molecularly targeted agents (e.g., FLT3 or IDH1/2 inhibitors), and allogeneic hematopoietic stem cell transplantation (HSCT), with treatment algorithms stratified by the 2022 European LeukemiaNet (ELN) genetic risk classification and measurable residual disease (MRD) status.
Subject: medicine
Intent: Other
Query: Apart from investigating leakage and performance, I believe that model evaluation should go beyond just assessing correctness and should include an evaluation of the reasoning process itself. Inspired by OpenAI's O1 and the concept of Long Thought, I aim to explore (i) whether models can consistently identify the most likely correct reasoning paths at each stage of a problem-solving process, similar to AlphaGo's method of selecting optimal moves; (ii) the ability of models to self-assess their reasoning. Specifically, when encountering dead-ends or failures to solve, can they critically evaluate the correctness of their reasoning and the evidence supporting their conclusions? Finally, (iii) I am interested in assessing whether models can generate diverse new reasoning directions when faced with uncertainty, demonstrating cognitive flexibility and adaptability. This approach aligns with reward modeling in O1, where models are evaluated not just for correctness but for the quality and adaptability of their reasoning. Ultimately, just as in an interview setting, evaluation should not only depend on the model’s final answer but also on its cognitive rigor and agility throughout the reasoning process. Does this being well investigated?
Subject: computer science
Intent: Ideation
Query: To expand the content of the following literature review, it is necessary to mark the citation source, and it is better to cite more literatures after 2019: Knowledge sharing in supply chains, 
particularly in the context of new energy vehicles. It would provide an overview of the importance of knowledge sharing in supply chains and its impact on decision-making, as well as the role of evolutionary game theory in analyzing knowledge sharing behavior. The section would also review the existing literature on knowledge sharing in supply chains, highlighting the gaps and limitations of previous studies.

Subject: business
Intent: Literature Understanding
Query: Polymeric Nanoparticles
III.B.1.  Biodegradable Polymers (e.g., PLGA, Chitosan) (Advantages of biocompatibility and controlled release, examples with quercetin)
III.B.2.  Stimuli-Responsive Polymers (pH-sensitive, temperature-sensitive) (Targeted release in tumor microenvironment, examples)
write content 
Subject: engineering
Intent: Literature Understanding
Query: Here is a list of protein. 
For each of them, get the uniprot ID, give protein family information, give a list of PDB if available, give list of known ligand if available: 

VPS13C, VPS35, ATP13A2, PSAP, RILPLI, SCARB2, SPTLC2, Rab32, GBAP1, SYNJ1, GPNMB, FBOX07, DNAJC13, PAM, EIF2AK1, KANSL1, BECN1, ZNF746, CACNA1D, GPR37, USP15, DNAJC6, KLK6, HLA-DRB5, RIT2, NLRP12, CD84, NOD2, TMEM230, TMEM175, TFEB, TRPML1, SMPD1, AIMP2, PARK7, STING1, NRFA2, TRAP1, mPTP, CDK5 
Subject: biology
Intent: Literature Understanding
Query: I'm writing a Research Grant Application on Combining Small Language Models and Decentralized Federated Learning support for Differential Diagnosis of Vertebral Compression Fractures Caused by Primary Osteoporosis and Multiple Myeloma. This Research Grant Application aims to develop a novel approach by combining small language models and decentralized federated learning to improve the differential diagnosis of VCFs caused by PO and MM. This approach addresses the limitations of traditional diagnostic methods and offers a more accurate, patient-centered, and cost-effective solution. Please rephrase detailed RESEARCH STRATEGies and Approachs for clarity, coherence and conciseness, ensuring each paragraph flows into the next. Remove jargon. Use a professional tone.
Subject: medicine
Intent: Ideation
Query: . As indicated by the United Nations World Population Prospects 2024, the world’s population is expected to grow over the coming 50-60 years, reaching around 10.3 billion in the middle of 2080s, with persons at ages 65 and higher will reach 2.2 billion. The accelerated aging of the population is anticipated to exert a considerable influence on the prevalence of geriatric diseases, resulting in a swift surge in the number of patients globally. LC-PUFAs are efficacious intervention in the prevention of such diseases, consequently leading to an increase in demand. 
Subject: medicine
Intent: Other
Query: continue Quality assessment research plays a crucial role in evaluating the quality
of studies, ensuring the efficiency of the studies, and determining their
eligibility for applying software defect prediction models. The quality
assessment focuses on extracting the studies that have sufficient information
for answering the predefined research questions[20]. A set of quality criteria
is defined to be applied to the selected primary studies, and each quality
criteria must be answered using the options "Yes" or "No"[21].
TABLE 2.2
Evaluation Criteria
Question Answer Score Description
QA1 Yes 1 if the objectives and research questions were
explicitly stated
No 0 if no objectives were stated, if the research
questions were hard to determine, or if they
didn’t relate to the research being carried out
QA2 Yes 1 if the results provided logical conclusion
No 0 if the results were not justified
Subject: computer science
Intent: Other
Query: Phishing attacks remain a significant cybersecurity threat globally, with developing nations like Nigeria facing unique challenges due to localized tactics and cultural factors. This paper presents a novel approach to phishing mitigation in Nigeria, leveraging Natural Language Processing (NLP) and Deep Learning techniques to enhance both automated detection and user training. Our research addresses the gap between technical solutions and human-centered approaches by developing an integrated framework tailored to the Nigerian context.  We first analyze a corpus of Nigeria-specific phishing attempts, identifying linguistic patterns and cultural references commonly exploited by attackers. Using this data (1,000,230 Urls, and locally relevant data), we trained a deep learning model capable of detecting localized phishing content with high accuracy. The model's architecture incorporates attention mechanisms to focus on contextually relevant features, improving performance on Nigeria-specific threats. NLP techniques was employed to analyze the linguistic patterns, content, and context of phishing emails, websites, or messages. A Hybrid Deep learning models- recurrent neural networks (RNNs) and transformer-based models (BERT), was trained on large datasets of phishing and legitimate samples to learn discriminate features and classify new instances Building on this technical foundation, we design a dynamic anti-phishing training program that adapts to individual user behavior and local phishing trends. The system employs NLP to generate culturally relevant simulated phishing scenarios, providing users with realistic and engaging learning experiences. We evaluate the effectiveness of this integrated approach through a large-scale study involving Nigerian internet users across diverse demographic groups. Our results demonstrate significant improvements in both automated phishing detection rates and user resilience to social engineering tactics. precision: 0.89, Recall: 0.94, f1-score: 0.92, support 185, and F1 Score: 1.00 This research contributes to the field by showcasing the potential of combining advanced AI techniques with culturally informed strategies to create more effective, localized cybersecurity solutions. The proposed framework offers a model for addressing phishing threats in other regions with distinct cultural and linguistic landscapes.
Subject: computer science
Intent: Other
Query: Targeted Nanodelivery for Enhanced Anticancer Efficacy
*   V.D.1.  Tumor-Targeting Strategies (Active and passive targeting to cancer cells and tumor microenvironment)
*   V.D.2.  Stimuli-Responsive Release in Tumor Environment (pH, enzyme, redox-responsive systems for controlled drug release)
*   V.D.3.  Combination Therapy with Nano-Quercetin (Synergistic effects with other anticancer drugs or therapies)
  write content 
Subject: medicine
Intent: Literature Understanding
Query: AIML for ORAN control: AIML can provide efficient solutions for predicting incoming traffic and controlling bandwidth distribution in ORAN (Nguyen et al. 2024). However, there is still a need for further research on how to effectively integrate AIML with other techniques, such as reinforcement learning, to optimize bandwidth distribution (Nguyen et al. 2024). Provide a solution that Federated learning to solve such problem.
Subject: computer science
Intent: Ideation
Query: As life expectancy increases, the prevalence of aortic valve disease is expected to increase. Aortic valve replacement is the only treatment for aortic valve stenosis, and no drug therapy has been established to prevent aortic valve calcification. Aortic valve replacement can lead to serious complications such as stroke and atrioventricular conduction disorder, and after surgery, patients are required to take antithrombotic drugs for life. Therefore, it is important to discover drugs that prevent aortic valve calcification through research. 
Subject: medicine
Intent: Other
Query: Another important aspect that confirms federated learning to be a promising solution for intrusion detection systems is the efficiency in communication. FL saves on communication costs since the clients perform local computations, and only model updates need to be sent, normally much smaller in size than raw data [78]. This not only decreases the bandwidth requirements but also speeds up the training process, which guarantees real-time detection capabilities that are essential for effective breach response [79]. 
Subject: computer science
Intent: Other
Query: In the process of systematically organizing tacit knowledge related to disasters and documenting it as explicit knowledge, tacit knowledge is reorganized into structured information in the form of disaster prevention manuals, case studies, disaster response protocols, and the like. Notably, the aim is to build an interdisciplinary knowledge system that integrates engineering approaches with social science perspectives. This integration enables the systematization of comprehensive disaster prevention knowledge that organically links technical measures with social policies. One of the important efforts in formalization is the structuring of knowledge related to each phase of disaster response (prevention, emergency response, recovery, and reconstruction).

I would like to know about papers related to this claim. It would be even better if the content supports this claim. If possible, please provide those written in Japanese.
Subject: disaster management
Intent: Paper Finding
Query: Please list relevant research that should be included in this chapter.

--
 ## 2.2 Recognition and Presentation of Tactile Sensations of Cloth
 
 The research on the tactile qualities of cloth has developed in two directions: (1) the recognition of tactile sensations and (2) the presentation of tactile sensations.
 
 ### 2.2.1 Tactile perception of cloth
 Traditional research on tactile recognition of cloth has mainly taken the following approaches:
 
 Chen et al. [2021] used a large sensor array to measure tactile interactions across the entire garment, but the resolution of each sensor was limited; the See-Through-Your-Skin (STS) sensor of Hogan et al. The STS (See-Through-Your-Skin) sensor of [2021] realized simultaneous visual and tactile measurement using a translucent membrane, but was limited to fixed measurement positions.
Subject: computer science
Intent: Literature Understanding
Query: Wireless Federated Learning (WFL) is a promising machine learning concept for privacy-preserving Beyond 5G networks, enabling the collaborative training of models across distributed devices without exchanging raw data. However, WFL faces significant challenges, including high communication latency and energy consumption, particularly under constrained network resources. A grant-free Non-Orthogonal Multiple Access (NOMA)-assisted WFL framework is proposed to optimise latency and energy efficiency jointly. The proposed approach uses grant-free NOMA to transfer machine learning parameters from edge users to the central server when they have completed local model training, eliminating scheduling overhead and reducing communication
delays. To mitigate signal collisions and ensure reliable decoding of overlapping signals, the Collision-Aware Successive Convex Optimisation (CA-SCO) algorithm is introduced. The proposed framework is more scalable and feasible for B5G networks, with improved latency and energy efficiency compared to benchmark multiple access techniques. The framework’s efficacy is assessed by comprehensive simulation data, demonstrating substantial decreases in latency and enhancements in energy efficiency.
Subject: computer science
Intent: Other
Query: write me these point in one paragraph: Intra-Community Influence Selection: The following centrality measures are computed for each community, by assigning a weighted influence score to each node these scores are normalized.
Eigenvector Centrality
Out-Degree [8] + my first paper
PageRank
K-Shell Decomposition [9]
Katz Centrality
To ensure that nodes with different influence characteristics are considered the multiple centrality metrics are used [5].
Computational  Formulation for Intra-Community Influence Score: for each node within a community to compute a composite influence score we use a weighted combination of centrality measures. Here is its computational formula:
Iintra(v)=aCout(v) + bCpr(v) + cCev(v) + dCks(v) + eCkz(v)
Where:
Cout(v) = Out-degree centrality
Cpr(v) = PageRank centrality
Cev(v) = Eigenvector centrality
Cks(v) = K-Shell centrality
Ckz(v) = Katz centrality
a,b,c,d and e are weights assigned to each measure where there sum is equal to 1. Within each community the top k nodes with the highest Iintra(v) values are selected as influential nodes where k (value not yet fixed).
Subject: computer science
Intent: Other
Query: Emerging perspectives now suggest that Aβ accumulation may be a secondary phenomenon or a compensatory neuroprotective response to upstream pathological processes, including infection, oxidative stress, or vascular injury (Morris et al., 2014; Herrup, 2015). This conceptual shift has prompted the scientific community to explore alternative etiological models that foreground neuroimmune dysregulation, metabolic impairment, and environmental exposures, including infectious agents.
Subject: neuroscience
Intent: Other
Query: ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation Analysis Requirements: 1. Reference Classification: - Characterize the nature and depth of mission reference - Distinguish between superficial mention and substantive engagement 2. Research Contribution Assessment: Evaluate mission's role in: a) Research framework development b) Methodological approach c) Theoretical foundations Data utilization e) Analytical implementation 3. Scholarly Significance: - Estimate depth of mission/model integration - Assess scholarly impact and citation potential
Subject: earth sciences
Intent: Paper Understanding
Query: Title: LLM-based Agent for production management training system

Abstract: The increasing digitalization of manufacturing production management presents a significant challenge: training managers to effectively navigate complex management systems and respond rapidly to dynamic situations. Traditional training methods, such as manuals and classroom lectures, often fail to provide the immersive and interactive experiences necessary for mastering these advanced systems. For example, responding effectively to a reported abnormality and its associated ticket requires understanding complex workflows and making informed decisions under pressure. While traditional simulators offer some improvement, they are often expensive to develop and maintain, and their functionality can be limited.

To address this training gap, we propose a novel LLM-based agent for manufacturing production management training. This agent will operate within an abstract simulation engine designed to capture the essential elements of a real-world manufacturing environment. By distilling key aspects such as scene layout, human activities, workflows, and machine states, we create a flexible and scalable training platform. The LLM-based agent will dynamically generate diverse scenarios, including simulated abnormalities and associated documentation (e.g., tickets, reports). This allows trainees to interact with the system, practice their decision-making skills, and receive personalized feedback in a safe and controlled environment. This approach offers a cost-effective and highly adaptable solution for training manufacturing managers in the complexities of modern digital systems. It promises to enhance the effectiveness and efficiency of production management by providing a more immersive and interactive learning experience.
Subject: computer science
Intent: Other
Query: thanks. yes. Please assume that you are a technology and legal advisor. You are writing a book about the legal issues that are related to artificial intelligence. Please create a comprehensive and very detailed outline, in traditional outline format and with traditional outline numbering of each topic and subtopic, of all the legal issues that are related to 

law and 

artificial intelligence, following the objectives and purposes I have just stated. Wherever possible, please cite to at least 7 documents on the web that are freely available,

including articles, websites, government websites and webpages, statutes, regulations, ordinances, constitutions, treaties, court decisions. 

international memorandums of understanding between or among governments, 

court decisions, decisions of administrative agencies,

that support or provide further information about each point in each subtopic of the outline. 


For each source that you present, please provide a live, working, clickable hyperlink that will allow the reader to access the source that you have provided. Please place each information source in the body of the outline, immediately below the subtopic to which it pertains. 

Thanks. Now, please expand the depth of the outline, while following the requirements I gave you earlier in this prompt. Thanks very much!!!

Subject: social sciences
Intent: Literature Understanding
Query: I am a researcher looking to conduct a review of literature on bioelectrocatalysis in which a combination of enzymes and carbon nanomaterials are employed for applications in green chemistry and green energy. I would like to generate a table. Each row represents a different article (please ensure they are real). For each article, use columns to delineate what is the enzyme being used in the study, what carbon nanomaterial is employed, the raw chemical inputs, the product outputs, and key figures of merit (e.g. production rate, current density, etc). If there are articles that talk about enzyme-mimicking or enzyme-like nanomaterials, please ignore these. Only papers that involve an enzyme and a carbon nanomaterial, used to perform an electrocatalytic reaction, need to be used. Please ignore any review articles. I have some text and references that might help, let me know if I can upload as a file or paste as text
Subject: chemistry
Intent: Literature Understanding
Query: My research paprer is a Constructivist Grounded Approach to Study the Ethical Implications of AI Use in Human Resources Management . Here below are the research questions and research objective : 1.What are the primary ethical concerns associated with AI use in Human Resource Management, and how can a conceptual framework address these concerns? 2. How do algorithmic biases manifest in AI-driven HRM processes, and what strategies can mitigate them? 3. What are the implications of AI-driven data collection on employee privacy, and how can organizations balance AI benefits with data protection? 4. How can transparency and explainability be incorporated into AI-driven HRM systems to enhance trust and accountability? 5. What governance structures are necessary to ensure accountability when using AI in HRM? 6. How can ethical considerations be integrated into the deployment of AI systems in HRM? 7. What are the broader implications of ethical AI practices in HRM for organizational culture and employee well-being? Research Objectives: Objective 1: Identify and analyze key ethical issues associated with AI in HRM. Objective 2: Develop a comprehensive ethical framework integrating legal and ethical considerations. Objective 3: Provide practical guidelines for ethical AI deployment in HRM. Objective 4: Contribute to academic knowledge and inform policy development on ethical AI use in HRM. 


review critically my research proposal and suggest practical area of improvement. Be specific.
Subject: business
Intent: Ideation