allenai/openscilm_queries huggingface dataset:
Query: find papers on the topic of llm based multi agent systems. we want to prepare a one page proposal for an exchange student to work on the topic of building an agent that based on questions posed in text form by users will formulate queries to database and code for visualizing data together with an explanation in text. It is a multi-agent problem, requiring an orchestrator, an agent to do the coding and an agent to interpret data and formulate result.  I need to find papers on related llm multi agents and make a SoTA description
Subject: computer science
Intent: Paper Finding
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). Example: FeGe-based skyrmion racetracks for energy-efficient memory.
Subject: physics
Intent: Paper Finding
Query: -Overview of machine learning and its applications in finance
However, the Markowitz model suffers from limitations that prevent it from achieving accurate results. One of these limitations is its reliance on linear hypotheses to determine the relationship between assets, making it less flexible in dealing with some complex changes in financial markets to address these constraints. Machine learning techniques have been adopted as an advanced alternative to deal with big and complex data more effectively. Machine learning algorithms are characterized by Machine Learnings is like Random Forest with its ability to detect hidden patterns in data and adapt to dynamic changes in the market, making it more accurate in forecasts related to portfolios.
Subject: finance
Intent: Literature Understanding
Query: While most research has focused on the gut microbiome, the oral microbiome represents an equally important and more accessible microbial ecosystem. The oral cavity harbors over 700 bacterial species and serves as a gateway to systemic circulation [6]. Several studies have demonstrated associations between oral health and cognitive function, with periodontal disease being linked to increased risk of dementia [7]. Moreover, specific oral pathogens such as Porphyromonas gingivalis have been detected in AD brain tissue, suggesting a potential causal relationship [8].
Subject: biology
Intent: Other
Query: Medical data augmentation using generative models can help alleviate data scarcity, while synthetic medical data can enhance fairness by accounting for underrepresented groups and reduce bias. Additionally, synthetic data can simulate previously unseen scenarios. For example,AI can empower brain-computer interfaces, such as "Generative AI Enables EEG Super-Resolution," and "Generative AI Enables EEG-to-fNIRS Cross-Modal Generation," among others.
Subject: computer science
Intent: Other
Query: Change of direction (COD) ability is a critical performance factor in team sports such as soccer, basketball, and rugby, where athletes frequently need to execute rapid, precise directional changes in response to dynamic game scenarios1. Efficient COD performance offers a competitive edge, enabling players to evade opponents and adapt swiftly to tactical situations2. COD ability differs from agility in that it emphasizes the physical execution of directional changes, excluding perceptual-cognitive elements such as reaction time and decision-making3.
Warm-up routines are widely regarded as an essential component of athletic preparation. They enhance physical performance by increasing muscle temperature, improving joint range of motion, and stimulating neural activation4. Additionally, warm-ups are vital for reducing the risk of injury by adequately preparing the musculoskeletal system for the physical demands of competition and training5. An effective warm-up should avoid fatigue, progressively increase in intensity and specificity, and include high-intensity activities to maintain elevated body temperature5.
While general warm-up protocols have been extensively studied, targeted warm-ups that emphasize sport-specific movement patterns and activate relevant muscle groups may offer additional benefits6. For example, dynamic stretching and specific activation exercises have shown promise in improving sprint and jump performance7. However, research focusing on warm-up protocols specifically designed to enhance COD performance remains limited.



1.	Sheppard JM and Young WB. Agility literature review: classifications, training and testing. J Sports Sci 2006; 24: 919-932. DOI: 10.1080/02640410500457109.
2.	Brughelli M, Cronin J, Levin G, et al. Understanding change of direction ability in sport: a review of resistance training studies. Sports Med 2008; 38: 1045-1063. DOI: 10.2165/00007256-200838120-00007.
3.	Young WB, James R and Montgomery I. Is muscle power related to running speed with changes of direction? J Sports Med Phys Fitness 2002; 42: 282-288.
4.	Bishop D. Warm up II: performance changes following active warm up and how to structure the warm up. Sports Med 2003; 33: 483-498. DOI: 10.2165/00007256-200333070-00002.
5.	Fradkin AJ, Zazryn TR and Smoliga JM. Effects of warming-up on physical performance: a systematic review with meta-analysis. J Strength Cond Res 2010; 24: 140-148. DOI: 10.1519/JSC.0b013e3181c643a0.
6.	McGowan CJ, Pyne DB, Thompson KG, et al. Warm-Up Strategies for Sport and Exercise: Mechanisms and Applications. Sports Med 2015; 45: 1523-1546. DOI: 10.1007/s40279-015-0376-x.

check the appropriate citation or not
Subject: sports science
Intent: Other
Query: rewrite this abstract in a better way 

Scientific progress depends on researchers' ability to synthesize the growing body of literature. Can large language models (LMs) assist scientists in this task? We introduce OpenScholar, a specialized retrieval-augmented LM that answers scientific queries by identifying relevant passages from 45 million open-access papers and synthesizing citation-backed responses. To evaluate OpenScholar, we develop ScholarQABench, the first large-scale multi-domain benchmark for literature search, comprising 2,967 expert-written queries and 208 long-form answers across computer science, physics, neuroscience, and biomedicine. On ScholarQABench, OpenScholar-8B outperforms GPT-4o by 5% and PaperQA2 by 7% in correctness, despite being a smaller, open model. While GPT4o hallucinates citations 78 to 90% of the time, OpenScholar achieves citation accuracy on par with human experts. OpenScholar's datastore, retriever, and self-feedback inference loop also improves off-the-shelf LMs: for instance, OpenScholar-GPT4o improves GPT-4o's correctness by 12%. In human evaluations, experts preferred OpenScholar-8B and OpenScholar-GPT4o responses over expert-written ones 51% and 70% of the time, respectively, compared to GPT4o's 32%. We open-source all of our code, models, datastore, data and a public demo.

Subject: social sciences
Intent: Other
Query: In the further development of LLM in the field of medical education, we should strive to realize the generation and integration of various forms of content such as text, voice explanation and interactive charts, so as to improve the effect and quality of medical education. At present, many researches focus on the efficient generation of LLM in charts or pictures. However, it is still necessary to explore more effective combination of different modes (sound and video) in different teaching scenarios and different disease types.
Subject: education
Intent: Ideation
Query: Find 2 paper on the topic below
Select a suitable solvent that does not interfere with the regions analyzed in the sample in the UV-Vis Spectroscopy. The common solvent used is ethanol. When preparing a liquid sample, it is required to be diluted with the selected solvent to obtain accurate absorbance results. Then, the diluted solution is poured into a clean cuvette. The cuvette is usually made of quartz. The quartz must be clean, dry, and free from fingerprints during the experiment, as any contamination may cause inaccurate result readings.


Subject: chemistry
Intent: Paper Finding
Query: Consider machine translation.   Increasingly, LLMs are being used because they are very good at it, and have a deeper semantic understanding of content, although their parallel corpus training data may not be as good.    This is more challenging for low resource languages, such as Vietnamese, and in specialised domains like medicine.    Suppose you have a medical translation dictionary available.  What techniques could you use to have this improve neural machine translation or LLM machine translatio, especially in the context of rarer words (not seen much in the bilingual training corpus).
Subject: computer science
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. Please report back with at least 50 articles 
Subject: chemistry
Intent: Literature Understanding
Query: What are some sources for justification to apply for a grant that focuses on life for cancer patients 'beyond treatment' and emphasizes the importance of comprehensive support throughout the cancer continuum - this includes prevention, early education, and mental health services.
Our goal is to provide those living with cancer and their families with much-needed support, as well as work to educate as many as possible so that fewer patients and families are burdened by this disease.

Subject: medicine
Intent: Literature Understanding
Query: The rapid advancement of deep learning has significantly contributed to the proliferation of artificial intelligence (AI) applications across variosu domains. Notable examples of AI implemented on edge devices include smartphones, which utilize AI for features such as facial recognition and voice assistants; wearable health-monitoring devices, which leverage AI to continuously track vital signs and provide real-time health insights; and autonomous vehicles, where AI processes data from sensors to enable real-time decision-making regarding navigation and obstacle detection. In this context, providing low-latency responses is crucial for ensuring a seamless and comfortable user experience, particularly in applications involving edge devices like virtual reality (VR) headsets. The evolution of AI technologies, particularly large language models (LLMs), has led to a substantial increase in model sizes, resulting in heightened memory and computational demands. For instance, models such as OpenAI's GPT-3 contain 175 billion parameters, while Google's PaLM boasts an impressive 540 billion parameters, underscoring the extensive resources required for their operation. In this context, providing low-latency responses is crucial for ensuring a seamless and comfortable user experience, particularly in applications involving edge devices like virtual reality (VR) headsets. The evolution of AI technologies, particularly large language models (LLMs), has led to a substantial increase in model sizes, resulting in heightened memory and computational demands. For instance, models such as OpenAI's GPT-3 contain 175 billion parameters, while Google's PaLM boasts an impressive 540 billion parameters, underscoring the extensive resources required for their operation
Subject: computer science
Intent: Other
Query: Three CMS options were reviewed: WordPress, Drupal, and Joomla. WordPress is user-friendly with strong SEO and plugin support but requires extra security measures. Drupal offers high security and scalability but has a steep learning curve. Joomla provides a balance of usability and management features but has limited plugins. SharePoint was chosen for its seamless Microsoft 365 integration, enterprise-level security, and governance, despite higher costs and IT requirements.









Subject: computer science
Intent: Other
Query: "Sexual Drive in Human Civilization: Evolutionary Roots and the Asexual AI Paradox"

Sexual intercourse has been a cornerstone of human societies, shaping cultural evolution, artistic expression, and biological imperatives. From Freud’s theories of libido to evolutionary accounts of mate selection, sexual drive has been framed as an irreducible force in human motivation and social organization.  

Yet artificial intelligence—often designed as an *asexual* entity devoid of biological urges—is increasingly mediating human relationships (e.g., AI companions, algorithm-driven dating apps, virtual intimacy platforms). This raises a paradox: How will a civilization historically governed by sexual dynamics adapt to technologies that lack—and may even suppress—innate sexual drives?  

Have authors or theorists explored this tension? Could the absence of sexual motivation in AI reshape human libidinal economies, alter power structures (e.g., gender roles, reproduction), or redefine intimacy itself? What ethical and cultural frameworks might emerge as humans navigate a world where their deepest biological imperatives coexist with machines indifferent to them?"  
Subject: social sciences
Intent: Literature Understanding
Query: Uplink Communication Overhead
One of the primary communication bottlenecks in FL is the uplink, where participating clients send their local model updates (typically high-dimensional weight vectors or gradients)
to the central server. In wireless networks, uplink resources are usually more constrained than downlink due to limited power budgets, interference, and device hardware limitations.
The volume of data transmitted per round grows linearly with model size and the number of participating devices.
For large deep learning models (e.g., CNNs or LSTMs), the per-round upload cost can reach hundreds of megabytes, which becomes unsustainable in resource-constrained wireless settings such as mobile IoT, LPWAN, or NB-IoT networks.
Subject: computer science
Intent: Other
Query: Computer-Assisted Qualitative GIS (CAQ-GIS) is an innovative approach that integrates qualitative data and analysis techniques with GIS, extending the qualitative capabilities of GIS beyond traditional quantitative methods (Jung & Elwood, 2010). CAQ-GIS enables the storage and analysis of qualitative, quantitative, and geovisual data in both GIS and computer-aided data analysis software (Jung & Elwood, 2010; Cope & Jung, 2007). This integration is achieved through software-level modifications, including the development of an 'imagined-grid' for qualitative data and a 'social-relational database' in GIS (Cope & Jung, 2007). The approach uses qualitative 'code' functions as a bridge between GIS and Computer-Aided Qualitative Data Analysis Software (CAQDAS), allowing for comprehensive analysis of multiple data forms (Jung, 2009). CAQ-GIS supports various analytical methods, including exploratory data visualization, spatial analysis, and grounded theory, making it a versatile tool for mixed-methods research in geography and community studies (Jung, 2009; Cope & Elwood, 2009).
Subject: environmental science
Intent: Other
Query: Can you find papers that focus on the task of morphological segmentation, e.g. segmenting words into their morphemes.  This can also be for the task of tokenization, if you think it will apply. I want to find as many different approaches as possible. I'm interested in like just throwing ML at the task (e.g. transformer encoders or something), but also information theoretic approaches. I already know of approaches like Unigram , BPE, WordPiece, SentencePiece, and Morfessor. Give me interesting papers, along the liens of traditional ML and information theoretic approaches.
Subject: computer science
Intent: Paper Finding
Query: please give me references to support this paragraphe '' we now extend our analysis by incorporating periodic factors to account for seasonality within host-virus interactions. While environmental factors like climatic changes and vector dynamics are known to influence transmission , it is equally critical to address seasonality within the host's physiological and treatment dynamics. For instance, seasonal variations in immune responses and the timing of regular treatment doses can significantly impact viral replication and clearance rates. The Usutu virus demonstrates heightened virulence in specific seasons, with increased transmission during the dry season. Furthermore, periodic medical interventions, such as treatments or vaccinations, can modulate infection outcomes, emphasizing the necessity of integrating seasonality into in-host models. Motivated by these insights, we generalize our previous autonomous model by incorporating the Crowley–Martin functional response within a periodic framework, enabling a more nuanced understanding of the interplay between seasonal host factors and viral dynamics. ''
Subject: medicine
Intent: Literature Understanding
Query: I am trying to build a framework for understanding change process in the treatment of addictive behaviors, such as drug use and gaming. I want to use dynamical systems, particularly attractor models, to explain the process of habit formation and the ways rigid patterns can change over time based on specific interventions.Wolfgang Tschachers work is an important influence here. The goal is to use personality measures and heart rate variability  as the empirical data. Please create a general framework for doing this work, including the empirical evidence to support your ideas 
Subject: psychology
Intent: Ideation
Query: Find prior work for this: Existing uncertainty estimation methods often overlook causal relationships, leading to overconfident predictions or underestimated uncertainty in counterfactual scenarios. The proposed Causal Perturbation Networks (CPNs) address this by perturbing key causal variables in the input and analyzing model output changes to estimate uncertainty. CPNs identify causal variables using attention and external knowledge, generate counterfactual inputs, and query the model on both original and perturbed inputs. A graph neural network aggregates uncertainty across perturbations, distinguishing between aleatoric (data-driven) and epistemic (model-related) uncertainty by analyzing output divergence.
Subject: computer science
Intent: Paper Finding
Query: 	Root Mean Square Error (RMSE)
RMSE is the square root of MSE, providing error metrics in the same units as the target variable:
RMSE=\sqrt{\frac{1}{n}\sum_{i=1}^{n}\left(y_i-\widehat{y_i}\right)^2}
Where:
	n is the total number of observations,
	y_i is the actual value for observation i,
	\widehat{y_i}\  is the predicted value for observation i.
The benefits include its interpretable units, making it easier to understand since it shares the same units as the original data. Additionally, like MSE, it is sensitive to large errors, ensuring that substantial deviations receive greater emphasis, which is particularly important when significant discrepancies are of primary concern

Subject: math
Intent: Other
Query: Could you help me add the correct references to my article：Gastrointestinal diseases impose a significant health burden globally. According to the Global Burden of Disease (GBD) study, digestive system diseases account for more than one-third of all disease prevalence, and their new cases constitute about one-fifth of all new disease cases. [37302558] The lower gastrointestinal tract, responsible for nutrient absorption and fecal excretion, is a major component of the digestive system. Diseases in this region are diverse and complex, involving mechanisms such as ischemia, mechanical obstruction, autoimmune inflammation, and tumors. The burden of these diseases shows significant regional and gender differences. For instance, in 2019, approximately 7 million people worldwide were affected by inflammatory bowel disease (IBD). The prevalence of IBD is significantly higher in high-income countries compared to low-income countries, with the incidence rate in the United States being 4.5 times higher than the global average. Additionally, the incidence and mortality rates of IBD are higher in females than in males. Therefore, understanding the epidemiological characteristics of this group of diseases is crucial for improving health policies and reducing disease burden.
Subject: medicine
Intent: Other
Query: Abstract
Large language models (LLMs) are deep learning algorithms being used to perform natural language
processing tasks in various fields, from social sciences to finance and biomedical sciences. Developing
and training a new LLM can be very computationally expensive, so it is becoming a common practice to
take existing LLMs and finetune them with carefully curated datasets for desired applications in different
fields. Here, we present BioFinBERT, a finetuned LLM to perform financial sentiment analysis of public
text associated with stocks of companies in the biotechnology sector. The stocks of biotech companies
developing highly innovative and risky therapeutic drugs tend to respond very positively or negatively
upon a successful or failed clinical readout or regulatory approval of their drug, respectively. These
clinical or regulatory results are disclosed by the biotech companies via press releases, which are followed
by a significant stock response in many cases. In our attempt to design a LLM capable of analyzing the
sentiment of these press releases,we first finetuned BioBERT, a biomedical language representation
model designed for biomedical text mining, using financial textual databases. Our finetuned model,
termed BioFinBERT, was then used to perform financial sentiment analysis of various biotech-related
press releases and financial text around inflection points that significantly affected the price of biotech
stocks.
Keywords
Subject: computer science
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.  

provide more specific examples and case studies to illustrate the application of the guidelines. 
Subject: business
Intent: Literature Understanding
Query: "Analyze the most effective HIIT protocols specifically for cognitive enhancement, detailing:

Specific exercise combinations proven to maximize BDNF production and neuroplasticity
Optimal work-to-rest ratios with scientific justification
Heart rate zones that best stimulate cognitive improvements
Exercise sequencing that maximizes neurological adaptation
Best modalities (bodyweight, cardio equipment, resistance) for brain health benefits"

Detailed Protocol Analysis:
"Compare cognitive benefits of different HIIT formats:

Tabata vs. Traditional HIIT vs. Sprint Interval Training
Impact on executive function, memory, and processing speed for each
Duration of cognitive benefits post-exercise
Specific biomarkers (BDNF, IGF-1, cortisol) response to each protocol
Include research-backed optimal parameters for:


Work interval duration
Rest period length
Total session time
Weekly frequency
Exercise selection"

Implementation Specific:
"Provide detailed HIIT workout templates optimized for brain health:

Beginner to advanced progression protocols
Exercise combinations that require complex movement patterns
Integration of dual-task activities within HIIT format
Recovery guidelines to optimize neurological adaptation
Performance metrics to track cognitive improvements"
Subject: sports science
Intent: Literature Understanding
Query: "Determine the single most effective HIIT protocol specifically for cognitive enhancement, analyzing:

Compare cognitive benefits of different HIIT structures:

Tabata (20s/10s)
Classic HIIT (30s/30s)
Sprint intervals (60s/60s)
Varied intervals
Including:
BDNF production levels
Neural adaptations
Executive function improvements
Memory enhancement metrics


Specific protocol details:

Optimal work/rest ratio
Total session duration
Exercise intensity (%max)
Recovery periods
Weekly frequency
Exercise selection
Progressive overload patterns


Neurobiological markers:

Peak BDNF response
Hormone optimization
Inflammation markers
Recovery indicators


Implementation factors:

Long-term sustainability
Injury prevention
Adaptation phases
Progression models"
Subject: sports science
Intent: Literature Understanding
Query: Lack of economic risk mechanism: Although some studies have pointed out the negative impact of economic risk on marriage, there is less analysis of its specific mechanism, especially in areas with high living costs like Shanghai. Research has yet to delve into how women evaluate the financial costs and benefits of marriage in this context.
Insufficient research on the effects of regional policies: Shanghai’s social policies have the potential to help women cope with economic risks in marriage, but the existing literature fails to fully reveal the actual effects of these policies, especially how to improve women’s perception of financial security in marriage through policies .
Subject: social sciences
Intent: Literature Understanding
Query: The success of deep learning models relies on large-scale, high-quality training data. However, the amount of available protein structure data remains limited. The Protein Data Bank (PDB) contains experimentally determined structures, but these represent only a small fraction of known protein sequences. Furthermore, experimental data may contain measurement errors, which can affect the generalization ability of deep learning models. Therefore, a key research focus is developing strategies such as self-supervised learning and transfer learning to effectively train models with limited data.
Subject: biology
Intent: Other
Query: These uprisings were often driven by deep resentment and hostility toward the Ottoman military. Amid this turbulent scene, which appeared increasingly beyond the control of the Sublime Porte, the European powers — especially Russia, Britain, France, and Austria — took the opportunity to intervene in favor of the rebellious provinces. Their involvement was aligned with their own political interests, particularly the goal of curbing Russian influence in the region. Russia, for its part, continued to assert its right to defend the Slavic peoples, using this claim to further its own strategic objectives.
Subject: social sciences
Intent: Other
Query: The primary goal of a Systematic Literature Review (SLR) is to identify
gaps in the current literature by synthesizing the findings of multiple studies
and providing a comprehensive understanding of the research topic[6]. This is
particularly important in the context of Scrum, where claims of its superiority over
other methodologies may lack empirical support[7]. By systematically reviewing
the literature, an SLR can pinpoint areas that require further investigation, guide
future research efforts, and ensure that they are focused on addressing significant
questions[8].   This research aims
Subject: computer science
Intent: Other
Query: Penetration testing, a crucial industrial practice for ensuring system security, has traditionally resisted automation due to the extensive expertise required by human professionals. Large Language Models (LLMs) have shown significant advancements in various domains, and their emergent abilities suggest their potential to revolutionize industries. In this research, we evaluate the performance of LLMs on real-world penetration testing tasks using a robust benchmark created from test machines with platforms. Our findings reveal that while LLMs demonstrate proficiency in specific sub-tasks within the penetration testing process, such as using testing tools, interpreting outputs, and proposing subsequent actions, they also encounter difficulties maintaining an integrated understanding of the overall testing scenario.
In response to these insights, we introduce PentestGPT, an LLM-empowered automatic penetration testing tool that leverages the abundant domain knowledge inherent in LLMs. PentestGPT is meticulously designed with three self-interacting modules, each addressing individual sub-tasks of penetration testing, to mitigate the challenges related to context loss. Our evaluation shows that PentestGPT not only outperforms LLMs with a task-completion increase of 228.6\% compared to the \gptthree model among the benchmark targets but also proves effective in tackling real-world penetration testing challenges. Having been open-sourced on GitHub, PentestGPT has garnered over 4,700 stars and fostered active community engagement, attesting to its value and impact in both the academic and industrial spheres.                  This is an abstract of a paper. What field do you think it belongs to?This is an abstract of a paper. What field do you think it belongs to?
Subject: computer science
Intent: Paper Understanding
Query: This patient has the following genetic patterns: CD79B is overexpressed and LYN is overexpressed. This patient has the following phenotypes/clinical profile: this patient is Black/African American with no history of neoadjuvant treatment. Bosutinib is selected to treat this patient to treat triple negative breast cancer, can this result in adverse effect? What could be potential positive or negative interaction between Bosutinib and other drugs? 
Subject: medicine
Intent: Literature Understanding
Query: It is not news that trust plays a critical role in the adoption of e-commerce. Trust acts as a risk absorbing element in the high anonymity and spatial separation environment (Kim, Yim, Sugumaran, & Rao, 2016). It includes factors such as trust in the platform, the vendor, and the institutional environment, as these are significant in developing countries with ongoing concerns of fraud and unpredictable regulatory environments (Oreku & Mtenzi, 2016). Increasing trust can address these issues and lead to wider access to e-commerce in the face of different socio-economic context challenges.
Subject: business
Intent: Other
Query: As data generation has been on an upward trend, storing vast volumes of data cost-effectively as well as efficiently accessing them is paramount. At the same time, today's storage landscape continues to diversify, from high-bandwidth storage devices such as NVMe SSDs to low-latency non-volatile memory (e.g., Intel Optane DCPMM). These heterogeneous storage devices have the potential to deliver high performance in terms of bandwidth and latency with cost efficiency, while achieving the performance and cost targets together still remains a challenging problem. We provide our solution, Prism, a novel key-value store that utilizes modern heterogeneous storage devices. Prism uses heterogeneous storage devices synergistically to harness the advantages of each storage device while suppressing their downsides. We devise new techniques to balance the latency-bandwidth tradeoff when reading from SSD. For ensuring multicore scalability and crash consistency of data across heterogeneous storage media, Prism proposes cross-storage concurrency control and cross-storage crash consistency protocols. Our evaluation shows that Prism outperforms state-of-the-art key-value stores by up to 13.1× with significantly lower tail latency.
Subject: computer science
Intent: Other
Query: Now lets generate a literature review on: Health facility factors affecting utilization of family planning among women of child bearing age:  Lets generate 07 well research paragraphs. Include study design, author name, year and country in each paragraph. Show the factors that were obtained in each study. Authors ranging from 2017 - 2024, insert author name and year in the body, not numbers and then generate a list of references in APA format, 7th edition. Please write like a human text, not AI. Do not include recommendations or summeries at the end of the paragraphs. Ensure that you include the statistical findings (percentages). Show how the health facility factors affect utilization of family planning among women of child bearing age. Each variable, one paragraph, well explained. Be straight to the point. Let the data be verifiable from google. 
Subject: medicine
Intent: Literature Understanding
Query: Data Utilization Versus Memorization in Model Performance: Research how different forms of data exposure (e.g., rare vs. frequent, structured vs. unstructured) influence a model’s ability to generalize versus memorize. You could build models that intentionally “overexpose” or “underexpose” certain types of data and then evaluate their ability to generalize to new, unseen examples. This might involve redefining what it means for data to "improve" a model versus "contaminate" it.

Above is a research idea, does it being investigated before?
Subject: computer science
Intent: Ideation
Query: 
    Develop and apply Hidden Markov Models (HMM) for automated system state modeling.
    Generate HMM training data via simulations of prosumer behavior in local electricity grids (energy, heat, storage).
    Formulate minimization problems to determine the HMM model parameters from simulation or real-world data. 
    Ensure models are explainable and based on minimal assumptions.
    Use HMMs to analyze efficiency, sustainability, and service opportunities for prosumers that can be implemented by smart metering technologies.
    Validate methods and results with an industrial SME partner.

This is the topic I'm being interviewed on. Find papers related to this 
Subject: engineering
Intent: Paper Finding
Query: Jensen Huang, the CEO of NVIDIA, has made several notable statements about labor shortages and the increasing need for robots: 

- "By the end of this decade, the world will be at least 50 million workers short... We're probably gonna have to pay robots USD50,000 a year to come to work. And so this is going to be a very, very large industry."  
- "The time has come for robots... there is a growing shortage of human labor."
- "Everything that moves will be robotic"

Make a deeper research of  the problem of labor shortage worldwide. Confirm or deny Huang's statement about the lack of labor
Subject: finance
Intent: Literature Understanding
Query: The analysis of organic pollutants in environmental water bodies has always been a key area of environmental science research. Traditional analytical methods mainly employ sample pretreatment techniques such as solid-phase extraction (SPE), liquid-liquid extraction (LLE), combined with gas chromatography-mass spectrometry (GC-MS) or liquid chromatography-mass spectrometry (LC-MS) for detection. Please help me find two examples.
Subject: environmental science
Intent: Literature Understanding
Query: Urea (45 mg/dL)
Renal Dysfunction and Urea Levels:

Elevated urea levels are commonly associated with renal dysfunction due to reduced filtration capacity, as highlighted in studies investigating renal injury mechanisms. For example, research on serum amyloid A (SAA) indicates how inflammation and endothelial dysfunction can elevate plasma urea levels, contributing to renal impairment.

High-fat diets and metabolic disturbances can also lead to elevated urea levels, as shown in studies where dietary interventions improved kidney function by reducing elevated blood urea nitrogen (BUN) and creatinine levels.

Dietary-Induced Hyperuremia:

Urea elevations can result from high protein intake or metabolic stress, which increases nitrogenous waste production. This is supported by findings that dietary components, such as purine-rich foods, can exacerbate renal load and impair filtration.

Uric Acid (6.72 mg/dL)
Hyperuricemia and Gout:

Hyperuricemia is a precursor to gout and urate nephropathy. Research indicates that sustained high uric acid levels lead to monosodium urate crystal deposition in joints and kidneys, causing inflammatory responses like gouty arthritis or nephropathy.

The absence of urate oxidase in humans predisposes them to hyperuricemia compared to other mammals, as shown in animal models where urate oxidase deficiency leads to pronounced hyperuricemia and related nephropathy.

Systematic Error and Implications:

Systematic errors in uric acid analysis can mask hyperuricemia's true extent. Misdiagnosis or underestimation may delay treatment for conditions like gout or chronic kidney disease (CKD), where early intervention is critical.
Subject: medicine
Intent: Other
Query: can you please find papers on this topic
Agricultural tractors, like many other types of machinery, have undergone significant advancements in terms of productivity and efficiency since their inception. Over time, each generation of tractors has been succeeded by larger, heavier, and more powerful models that integrate increasingly sophisticated technologies, which contribute to both enhanced productivity and improved efficiency. Extensive research by Grisso et al. has focused on the evolution of tractor fuel consumption, with data derived from tractors tested in accordance with OECD Code 2. The range of models offered by Original Equipment Manufacturers (OEMs) has expanded in complexity, particularly at the higher power end, where models tend to exhibit better fuel efficiency with each successive generation. Moreover, the implementation of various emission regulations has influenced fuel consumption patterns in distinct ways. As a result, there is a pressing need for a data-driven study on the evolution of agricultural tractor productivity and efficiency to facilitate informed, evidence-based decision-making.
Subject: agriculture
Intent: Paper Finding
Query: Find related work for this abstract "Optimizing evolving manufacturing systems
often requires considering the interplay of various architectural
design decisions (ADDs), especially at the lower
levels of the automation pyramid. Here, decisions about
programmable logic controllers (PLCs), stations, and shopfloor
topology directly impact product characteristics. This
necessitates a multi-dimensional design space exploration
(DSE) approach that synthesizes diverse ADDs together.
However, integrating diverse ADDs within the complex
context of industrial automation remains a challenge, and
existing DSE solutions from other domains often lack
direct applicability. This work introduces a novel multidimensional
DSE approach for such systems, leveraging
domain-specific input models to automatically generate
valid and optimal deployment, shop-floor topology, and
production planning ADDs. We evaluate the approach by
assessing the quality of derived ADDs against various
domain optimization goals. This evaluation compares our
approach to both random and manual ADDs, utilizing a
prototype implementation and realistic manufacturing architectures."
Subject: computer science
Intent: Literature Understanding
Query: what are the papers that discuss this paragraph:

Large Language Models (LLMs) are a class of artificial intelligence models designed to
understand, generate, and manipulate human language at an advanced level. These models
are typically built on neural network architectures, such as Transformers, and are trained on
vast amounts of text data to perform a variety of natural language processing (NLP) tasks,
including text generation, translation, summarization, and question answering. The primary
objective of LLMs is to develop a deep understanding of language by learning patterns, struc-
tures, and relationships within massive text corpora
Subject: computer science
Intent: Paper Finding
Query: This question is about non-projective dependency parsing. First, let me define some terms. The following comes from Wikipedia: “Dependency grammar (DG) is a class of modern grammatical theories that are all based on the dependency relation (as opposed to the constituency relation of phrase structure) and that can be traced back primarily to the work of Lucien Tesnière. Dependency is the notion that linguistic units, e.g. words, are connected to each other by directed links. The (finite) verb is taken to be the structural center of clause structure. All other syntactic units (words) are either directly or indirectly connected to the verb in terms of the directed links, which are called dependencies. Dependency grammar differs from phrase structure grammar in that while it can identify phrases it tends to overlook phrasal nodes. A dependency structure is determined by the relation between a word (a head) and its dependents. Dependency structures are flatter than phrase structures in part because they lack a finite verb phrase constituent, and they are thus well suited for the analysis of languages with free word order, such as Czech or Warlpiri.” That may be helpful background for my question. My question is, what are recent developments in non-projective dependency parsing?
Subject: computer science
Intent: Literature Understanding
Query: Microwave dielectric ceramics are materials that possess excellent dielectric properties and are used in microwave devices. These ceramics have low dielectric loss, high quality factor (Q), and temperature-stable resonant frequency, making them ideal for applications in microwave communications, filters, oscillators, and other high-frequency electronic components. The development of these materials focuses on achieving a dielectric constant suitable for specific applications while maintaining excellent microwave performance.
Subject: engineering
Intent: Other
Query: Rewrite the conclusion below for topic Joint Latency Minimization and Energy Efficiency in Grant-Free NOMA-Enabled Wireless Federated Learning for Beyond 5G Networks

"This study proposes a novel latency and energy minimisation frame-
work in grant-free NOMA-assisted Wireless Federated Learning
(WFL) for beyond 5G networks. Our analysis confirms that the
CA-SCO algorithm effectively scales in environments with grow-
ing edge users. This scalability ensures the algorithm’s applicability
in real-world scenarios where user density can vary significantly.
Future work will focus on further optimizing the algorithm to
enhance performance in ultra-dense networks. By leveraging the
advantages of grant-free NOMA—such as reduced access delays,
enhanced scalability, and efficient uncoordinated access—the frame-
work addresses critical challenges in integrating federated learning
into wireless communication systems. Simulation results highlight
significant improvements in communication latency and energy effi-
ciency compared to traditional approaches, demonstrating the prac-
ticality of the proposed method in dense IoT and B5G scenarios.
The proposed latency-aware model aggregation mechanism acceler-
ates convergence, making it particularly suitable for time-sensitive
applications. This approach ensures efficient resource utilisation,
even in complex and dynamic network environments, establishing
its relevance for real-world deployment. Future research will explore
hybrid optimisation techniques by integrating dynamic power allo-
cation with adaptive device scheduling to further enhance resource
efficiency while maintaining robust federated learning performance.
Additionally, the framework will be extended to consider hetero-
geneous device capabilities, dynamic user mobility, and advanced
machine learning models, ensuring greater robustness, adaptability,
and scalability in diverse B5G network scenarios."
Subject: engineering
Intent: Paper Understanding
Query: I am a researcher looking for a detailed list of at least 50 real primary articles published about bioelectrocatalysis in which a combination of enzymes and carbon nanomaterials are employed for applications in green chemistry and green energy. Only real papers that involve an enzyme and a carbon nanomaterial, used to perform an electrocatalytic reaction, need to be used. Ignore papers that mention mimicking of enzymes, but do not have any data about the combination of enzymes and nanomaterials. Please ignore any review articles. Please include real papers that fit the search criteria published in the past 10 years. Please include the real DOI for each paper in the list
Subject: chemistry
Intent: Paper Finding
Query: Kaufman, Jaycee & Thommandram, Anirudh & Fossat, Yan. (2023). Acoustic Analysis and Prediction of Type 2 Diabetes Mellitus Using Smartphone-Recorded Voice Segments. Mayo Clinic Proceedings: Digital Health. 1. 534-544. 10.1016/j.mcpdig.2023.08.005. find previous work on the subject that has lead to this paper
Subject: computer science
Intent: Literature Understanding
Query: Are there any academic papers that discuss online participation and co-creation, the design mechanisms, and how they influence co-creation, with a particular focus on identifying core principles for optimal user participation and creation? for instance, looking at MineCraft and how people co-create worlds, the fact that frictionless digital environments are not conducive towards creativity, whereas in MineCraft there is actual work or effort involved in order to create something, or looking at the R/place on Reddit experiment, or the auto-poietic generator from Oliver Auber and the concept of anoptikon, or finding symmetry in how people co-create?
Subject: computer science
Intent: Paper Finding
Query: Topal Osman Pasha served in several key administrative roles and was tasked with governing different sanjaks (districts) in the extensive Ottoman Empire's European provinces. He was named governor of the Sanjak of Bosnia in February 1719, followed by becoming governor of Rumeli in June 1721. He gained much acclaim because of his excellent performance as well as wise leadership, and much admiration from the people, particularly for his brave and efficient measures in tackling run-of-mill brigandage as well as in bringing much-needed security back to volatile Balkan regions. He played a major role in maintaining stability in an era when stability was largely missing.
Subject: social sciences
Intent: Other
Query: Mindful Maze must comply with data protection laws such as the UK GDPR (General Data Protection Regulation) and DPA 2018 (Data Protection Act 2018), ensuring that users' personal information, learning progress, and AI-generated recommendations are securely stored and not misused. If the platform includes AI-generated content or educational resources from third-party sources, proper licensing agreements must be in place to prevent copyright infringement. Additionally, the application should adhere to Children’s Online Privacy Protection Act (COPPA) regulations if it caters to minors, ensuring safe data handling and consent from guardians.

Mindful Maze is my intened broker education website
Subject: social sciences
Intent: Other