allenai/openscilm_queries huggingface dataset:
Query: Summarize: We propose the Dynamic Persona Adaptation Network (DPAN), a novel architecture for continuously
updating an agent's persona representation based on its interactions. DPAN consists of three main
components: 3. Interaction Generator: Produces contextually appropriate responses based on the
updated persona embedding and current conversation state. The system is trained end-to-end using a
combination of supervised learning on annotated multi-agent conversations and reinforcement learning
with rewards for maintaining consistent long-term behavior while appropriately adapting to social cues.
• Context Encoder: Processes the ongoing conversation and social dynamics, extracting relevant
features from the agent's own utterances, other agents' responses, and overall conversation flow.
• Persona Update Module: Generates incremental updates to the persona embedding based on the
encoded context. This module learns to identify relevant social cues and adjust the persona
accordingly.
• Interaction Generator: Produces contextually appropriate responses based on the updated persona
embedding and current conversation state.
Subject: computer science
Intent: Paper Understanding
Query: Protoplast-mediated transformation (PMT) is a technique that takes fungal protoplasts as acceptor materials and has been widely used in the study of genetic transformation of filamentous fungi. At the heart of the approach lies the enhancement of the permeability of the cell membrane by the addition of divalent cations such as Ca² + to the transformation system, thus facilitating the entry of exogenous nucleic acids into the protoplast. At the same time, the high osmotic pressure of polyethylene glycol (PEG) can promote the fusion of foreign nucleic acid and protoplast, and realize the introduction and expression of foreign genes.
Subject: biology
Intent: Other
Query: The study incorporates large-scale environmental datasets, including features such as green cover, soundscapes, and walkability metrics, in conjunction with subjective survey data on perceived restorativeness. Machine learning algorithms were used to predict environmental restorativeness, with accuracy validated through multiple datasets and cross-validation techniques.This results indicated that the integration of these diverse datasets significantly improved the predictive power of the models. Specifically, the inclusion of green cover and soundscape features was found to be highly influential in determining areas with high restorativeness potential. The study also highlighted the importance of walkability metrics, which contributed to the understanding of how accessible and usable these restorative environments are for the public. The findings have implications for urban planning and public health, suggesting that urban design should prioritize the creation and maintenance of spaces that promote psychological well-being and recovery from mental fatigue.
Subject: psychology
Intent: Other
Query: During skeletal development, local hypoxia is a common condition, and HIF-1α (hypoxia-inducible factor 1-alpha) plays a crucial role in regulating osteogenesis. PGAM1 is one of the target genes of HIF-1α. Under hypoxic conditions, HIF-1α induces the expression of PGAM1, promoting glycolysis and bone formation.
Subject: biology
Intent: Other
Query: What is the pixel shuffle operation that was mentioned in InterVL 1.5 paper? The original quote is:
During training, we implemented a dynamic resolution strategy, dividing images into tiles of 448×448 pixels in sizes ranging from 1 to 12, based on the aspect ratio and resolution of the input images. During testing, this can be zero-shot scaled up to 40 tiles (i.e., 4K resolution). To enhance scalability for high resolution, we simply employed a pixel shuffle operation to reduce the number of visual tokens to one-quarter of the original. Therefore, in our model, a 448×448 image is represented by 256 visual tokens.
Subject: computer science
Intent: Paper Understanding
Query: The authors of \cite{li2024synergizing} provided a comprehensive analysis of the Federated Learning framework's wireless communication component, pointing out possible avenues for future WFL research per the 6G goal. They underlined the close relationship between WFL's efficacy and the underlying wireless communication network's capabilities. Additionally, their research highlighted that to enable the smooth integration of WFL within the framework of 6G, all devices use a multiple-access approach to upload their uniquely trained outcomes during the model transmission phase of each communication round. The data exchange forms a critical part of WFL; thus, ensuring efficiency and reliability is a must \cite{bouzinis2021wireless}.
Subject: computer science
Intent: Other
Query: consider "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability" (luan et al., 2023). true/false: the authors reach to the conclusion that GNNs have better node classification capabilities then other neural networks if it generates node embeddings that are "similar" for same class nodes and "different" for nodes of different classes. provide quotes that support your answer.
Subject: computer science
Intent: Paper Understanding
Query: The latter twentieth century witnessed an unprecedented shift towards renewable energy, precipitated by mounting climate change concerns. The manifold disadvantages of fossil fuel dependence, including environmental degradation and deleterious health implications, have catalysed a societal transition towards sustainable energy sources. This paradigm shift, facilitated by technological advancement in energy systems, has enabled the systematic integration of clean energy alternatives. The contemporary global energy landscape represents a critical juncture where sustainable development imperatives converge with emergent technological capabilities.
Subject: environmental science
Intent: Other
Query: The Educational Broker Platform is a cutting-edge initiative designed to revolutionize online education by connecting students and teachers for personalized, real-time learning experiences. In today’s digital age, the traditional classroom model often falls short in addressing the unique needs of individual learners, while existing online platforms lack the interactive depth required for meaningful education. This project aims to bridge these gaps by leveraging modern technology, including AI-driven tools, to deliver a robust, interactive, and scalable solution.

Educational articles and reports consistently highlight the growing demand for flexible, individualized learning solutions that cater to diverse student needs. Challenges such as lack of qualified teachers, inadequate learning resources, and the inability to access real-time guidance often hinder students’ academic progress. Additionally, teachers face barriers in monetizing their expertise effectively while maintaining control over their schedules. Our platform addresses these concerns through seamless integration of advanced features like real-time video communication, AI-powered learning assistance, and streamlined payment systems.

The platform’s core focus is facilitating personalized education by matching students with teachers based on subject expertise, availability, and budget preferences. It incorporates interactive tools, including virtual whiteboards and session recording capabilities, to ensure that learning remains engaging and effective. AI integration further enhances the experience by providing instant support for questions, homework assistance, and personalized improvement suggestions.

Beyond functionality, the platform emphasizes community building and gamification to foster a collaborative and rewarding environment for students and teachers alike. Multi-language support and offline access ensure inclusivity, catering to a global audience with diverse linguistic and technological needs.

This initiative represents a comprehensive solution to contemporary education challenges, equipping students with the resources and guidance necessary to excel while empowering teachers to thrive in the digital economy. By combining innovation with accessibility, the Educational Broker Platform aspires to redefine online learning, making quality education accessible to all.







Subject: education
Intent: Other
Query: Is there an academic field that classifies the behavior of living things into several basic behaviors (foraging behavior, escape behavior, behavior of searching for/creating a habitat, courtship/reproduction behavior, behavior of protecting young, etc.) and their mechanisms (optical/chemical/physical stimuli, etc.) and studies the interactions between living things? In particular, I am looking for research that logs such behaviors, creates a database, and creates a system that describes the interactions.
Subject: biology
Intent: Literature Understanding
Query: The scientific impact of a research paper describes the positive and negative influence the paper has on its field of study as well as other fields.
To understand the impact of a paper, one needs to understand how it has been utilized and discussed by other papers.
This is normally referred to as citation intents or aspects.
One also needs to understand the evolution of the impact over time.

Given the paper titled "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks" published in 2019, describe the influence of this paper.
The output impact statement should cover different eras of influence, describing specific aspects of impact,
and back up every claim with specific sources.
Subject: computer science
Intent: Literature Understanding
Query: Can you help me trace this data back to me? A study by the University of Ohio in the European Journal of Psychology: Results of a Study on Partner-to-Partner Equity and Relationship Satisfaction showed that individuals who perceived relationship fairness showed higher satisfaction with intimate relationships, and another study showed that women who were not treated fairly by their husbands were more likely to show dissatisfaction with their relationships than those who were treated fairly by their husbands in chores and childcare
Subject: psychology
Intent: Paper Finding
Query: Given the limitations of manual IHC staining and the need for cost-effective solutions, computational methods for virtual staining have emerged as a promising alternative. Virtual staining aims to digitally transform H\&E-stained images into IHC-like representations, leveraging the morphological information present in H\&E images to infer molecular patterns typically revealed by IHC. This approach not only reduces the dependency on physical staining procedures but also offers significant advantages in terms of efficiency, cost savings, and tissue preservation.
Subject: medicine
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.

Subject: business
Intent: Literature Understanding
Query: The Educational Broker Platform utilizes cutting-edge technology, including AI-driven tools, to revolutionize online education (Peng. 2023). This platform is designed to address the unique needs of individual learners by providing real-time learning experiences. The platform connects students and teachers based on subject expertise, availability, and budget preferences, ensuring a robust and interactive solution (Sasikala et al. 2024). Advanced features such as real-time communication, AI-powered learning assistance, and streamlined payment systems facilitate seamless and effective learning experiences (Bodonhelyi et al. 2024).

The platform incorporates interactive tools, including virtual whiteboards and session recording capabilities, to ensure engaging and effective learning (Sitorus et al. 2023). AI integration provides instant support for questions, homework assistance, and personalized improvement suggestions, further enhancing the learning experience (Fakhar et al. 2024). Additionally, the platform emphasizes community building and gamification, fostering a collaborative and rewarding environment for students and teachers alike (Popescu. 2024).

The platform's features and functionalities are designed to address the challenges of traditional classroom models, such as the lack of qualified teachers, inadequate learning resources, and the inability to access real-time guidance (K et al. 2024). By providing a comprehensive solution, the Educational Broker Platform aims to redefine online learning and make quality education accessible to all (Ejiofor et al. 2024).

The platform's AI-driven tools, such as chatbots and language translation software, can help overcome language barriers and make educational content more accessible to learners around the world [8]. The platform's virtual assistants and chatbots can also assist students in online courses by answering questions, providing information, and guiding them through learning materials [9]. Furthermore, the platform's AI-powered educational games and simulations can adapt to the learner's progress, ensuring that the challenges presented align with the student's skill level [10].

In conclusion, the Educational Broker Platform represents a comprehensive solution to contemporary education challenges, equipping students with the resources and guidance necessary to excel while empowering teachers to thrive in the digital economy [11]. By combining innovation with accessibility, the platform aspires to redefine online learning, making quality education accessible to all [12].

Subject: education
Intent: Other
Query: "Please provide a detailed overview of theories and models related to Artificial Intelligence (AI) in education. Include information on the foundational theories that underpin AI's role in education, such as constructivism, behaviorism, and connectivism, and how these theories inform AI-based learning tools. Additionally, explain prominent AI models and frameworks, such as Intelligent Tutoring Systems (ITS), Adaptive Learning Systems, Learning Analytics, and Natural Language Processing in education. Highlight their key features, applications, and contributions to personalized learning, teacher efficiency, and student engagement. Please reference recent scholarly works to support your response."
Subject: education
Intent: Literature Understanding
Query: recent studies on the antibody immune response to Senecavirus A (SVA):

Evaluation of a Competitive ELISA for Detecting Neutralizing Antibodies Against SVA (2023)

Found that SVA-specific antibodies were detectable as early as 8 days post-infection in pigs, demonstrating a strong humoral immune response.
Structural and Nonstructural Proteins of Senecavirus A: Advances in Immune Response Research (2023)

Identified that VP2 protein induces a more robust antibody response compared to VP1 and VP3, which could be crucial for vaccine design.
Maternal Antibody Transfer and Adaptive Immune Response in Pigs (2021)

Studied antibody persistence in sows and their offspring, showing that maternal antibodies provide temporary protection but can interfere with active immunity development in piglets.
Potent Protective Immune Responses to Senecavirus Induced by a Virus-Like Particle Vaccine (2020)

Demonstrated that both humoral (IgG, IgM) and cellular (Th1/Th2) immune responses were triggered by an experimental SVA vaccine.
Adaptive Immune Responses Following SVA Infection in Pigs (2018)

Showed that SVA infection induces both neutralizing antibodies and T-cell responses, suggesting an effective adaptive immune reaction.
Subject: medicine
Intent: Other
Query: Hypertension is the sustained high blood pressure, more than 140/90 mmHg, when the systolic blood pressure (Beating of the heart) is greater than 140 mmHg and diastolic blood pressure (Resting of the heart) is greater than 90 mmHg. The American College of Cardiology (ACC)/ American Heart Association(AHA) defined Hypertension (HTN) as the pressure of the blood vessels up to 140/90 mmHg or higher
Subject: medicine
Intent: Other
Query: Check for prior work: The CPGE framework consists of three main components: 1) Cultural Knowledge Base (CKB): A
structured database containing information about cultural norms, values, and practices across different
societies. 2) Grounding Module: A graph neural network-based system that takes a base persona
description and a target culture, then generates a culturally-grounded version by reasoning over the
CKB. 3) Evaluation Module: A multi-task learning system that assesses the cultural appropriateness of
generated responses, simultaneously predicting cultural appropriateness scores and generating
explanations for its judgments.
Subject: computer science
Intent: Paper Finding
Query: Harmonizing Systems and Building Capacity
Targeted Incentives for Member States
To ensure the availability of pledged capabilities for peace and security operations, the AU must provide targeted incentives to Member States. These incentives can encourage participation in peacekeeping and enforcement missions, while simultaneously fostering a culture of commitment and cooperation. For resource optimization, the harmonization of AU and UN systems is critical. Aligning operational frameworks and processes between these organizations will help avoid duplication, maximize efficiency, and ensure that resources are effectively utilized.
Subject: social sciences
Intent: Other
Query: Find relevant research for this abstract: "This teaching case explores the University of Wisconsin-Green Bay’s (UWGB) phased approach to integrating artificial intelligence (AI) within a higher education setting as part of its "Adapt and Prosper" Technology Plan (2021-2024). Aimed at enhancing personalized learning, administrative efficiency, and data security, UWGB's AI initiative reflects a strategic response to evolving educational and operational demands. This case study examines the foundational stages of AI planning and initial deployment, addressing challenges such as vendor selection, budget limitations, and ethical considerations like data privacy and algorithmic bias. It emphasizes UWGB’s proactive measures for responsible AI use, including stakeholder engagement, structured professional development, and strict adherence to regulatory compliance standards. The lessons and strategies outlined provide a replicable model for educational institutions seeking to harness AI while maintaining transparency, accountability, and alignment with institutional goals. Future research will track UWGB’s ongoing adaptation as it refines AI-driven solutions to enhance the student experience and streamline institutional operations."
Subject: education
Intent: Paper Finding
Query: A Network Architecture
We consider a wireless Federated Learning (FL) system deployed in a 5G and beyond networks, comprising a central server and K edge device K =1,2,3,.......,k. Each device has its local dataset and
collaborates with the central server to train a global model using FL while preserving data privacy. The communication between the edge devices and the server occurs over a shared wireless channel, leveraging grant-free Non-Orthogonal Multiple Access (NOMA) for up-link transmissions. The proposed system model focuses on minimizing latency and energy consumption in a wireless federated learning (WFL) frame- work operating in a Beyond 5G network. The system employs grant-free non-orthogonal multiple access (NOMA) for efficient communication, enabling simultaneous uplink transmissions and reducing overhead delays. Below, we detail the key components of
the system model.
Subject: computer science
Intent: Other
Query: when it comes to the acquisition and processing of information by the brain, researchers have come up with different metaphors, some call it the foraging model, while others treat it as a mechanical computer, still some others take it as some kind of a funneling system. how about the metaphor of the brain as a connoisseur? this might take place in situations when we got some piece of new information, and we take a deliberate investigation into it, maybe driven by curiosity triggered by some of its features. is that a thing?
Subject: psychology
Intent: Literature Understanding
Query: Regarding non-relational (NoSQL, Not-Only-SQL) databases that support temporal and spatial scaling database systems  are suitable for organizing and managing data with different structures, featuring database-less schema, fault-tolerance, scalability, and high availability.NoSQL database systems can be classified into four main categories based on the core data model: key-value databases , such as Redis, Oracle NoSQL, etc.; column family (wide column) databases, such as Cassandra, HBase, etc.; document databases, such as MongoDB, Couchbase, etc.; graph databases, such as Neo4j, ArangoDB, etc}.
Subject: computer science
Intent: Other
Query: The rapid evolution of Intelligent Transportation Systems (ITS) has significantly enhanced the automation, efficiency, and safety of modern transportation networks. Among the diverse modalities within ITS, the management of low-altitude airspace—particularly in unmanned aerial vehicle (UAV) operations—has emerged as a critical challenge. With the proliferation of UAVs in urban logistics, surveillance, and emergency response, ensuring real-time airspace coordination has become a pressing concern. High-frequency conflict detection and resolution are essential to prevent collisions and maintain operational integrity in increasingly congested skies.
Subject: engineering
Intent: Other
Query: The European Commission's handling of antitrust investigations is often criticized for a lack of transparency, particularly regarding the limited public access to information during ongoing investigations. This stands in stark contrast to the more detailed public disclosures often seen in the United States. In the EU, most of the information available to the public comes through the Commission's decisions, which are typically issued only at the end of lengthy investigations. Until a formal decision is made, third parties often find it difficult to access details about specific cases, especially when the investigations drag on for years. The general public and companies involved in investigations often only learn about the progress or outcome through decisions that are made available, rather than through regular updates or feedback on the process.
Subject: social sciences
Intent: Other
Query: Find prior work exploring this idea: We introduce Uncertainty-Aware Prompt Distillation (UAPD), which iteratively refines prompts to
incorporate uncertainty cues. The process involves the following steps: 1) Generate a diverse set of
seed prompts for a given task. 2) Use a teacher model to generate responses and uncertainty
estimates for these prompts. 3) Train a student prompt generator to produce prompts that yield similar
uncertainty profiles. 4) Iterate through multiple rounds of distillation, refining the generated prompts to
become increasingly adept at eliciting well-calibrated uncertainty estimates from the base model. 5)
Use the final distilled prompts as-is or fine-tune them for specific downstream tasks.
Subject: computer science
Intent: Paper Finding
Query: Develop a Structured Literature Review on Digital Payments and the Future of Cashless Economies
− Organize your literature review into key themes or subtopics. 
− Discuss each theme, highlighting: 
▪ Key findings and contributions of the studies. 
▪ Contrasting viewpoints or debates. 
▪ Methodologies used in the studies (quantitative, qualitative, mixed). 
▪ Identified gaps or limitations.
Subject: finance
Intent: Literature Understanding
Query: re there any research papers on multi-modal or joint learning approaches for aligning or matching IHC (Immunohistochemistry) staining regions with corresponding structures in HE (Hematoxylin and Eosin) images? Specifically, I am interested in methods for overcoming large color and intensity differences between IHC and HE images, such as through deep learning techniques, cross-modality image translation, or domain adaptation. Additionally, are there any papers that explore the use of multi-task learning for segmentation or classification tasks involving both IHC and HE images?
Subject: computer science
Intent: Paper Finding
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 PROJECT SUMMARY for clarity, coherence and conciseness, ensuring each paragraph flows into the next. Remove jargon. Use a professional tone.
Subject: medicine
Intent: Ideation
Query: I am trying to understand the treatment dynamics in moderate / severe ulcerative colitis. More specifically, i would like to understand the following:
1) What are the key advanced therapies used in 1L?
2) how long do patients stay in 1L in general? How does persistence vary by therapy?
3) what is driving a switch to a new therapy?
4) how many patients use 5-ASAs vs. advanced therapy? Is there value to moving to advanced therapy sooner?
5) what is the persistence on 2L and how does this vary by therapy?
6) how many patients end up having surgery?
Please provide citations
Subject: medicine
Intent: Literature Understanding
Query: Globalization has a significant impact on humanity, offering both opportunities and challenges. In this Anthropocene era, the relationship between human society and the natural environment is more influenced than ever by global forces such as climate change, health trends, and shifting political power.
Human activity is driving climate change, which threatens ecosystems and livelihoods worldwide. Health trends indicate that societies remain vulnerable to both new and old diseases, as well as changing healthcare needs. Political dynamics also play a key role in how countries respond to these global issues, often leading to the formation of new alliances or tensions. These forces are deeply interconnected, each influencing the others in complex ways.
The connection between climate change, health trends, and political shifts creates a complex global situation. For example, climate change can worsen health issues, such as the spread of diseases or food insecurity. These challenges place greater strain on healthcare systems and public health policies. Political decisions, such as the allocation of resources or international climate agreements, play a key role in how effectively these issues are addressed. Health crises, like pandemics, can also shift political priorities and alter international relations. These factors are not separate; rather, they influence and reinforce one another, creating a cycle of interdependence that affects global stability.
Subject: environmental science
Intent: Other
Query: Currently, I'm focused on how researchers enable LLMs to complete tasks by iterating in loops. I’m interested in how LLMs manage self-prompting and avoid performance degradation or "crashes" over time. Specifically, I'm exploring ways to design a dataset with self-management instructions that help the LLM improve progressively. If the LLM learns to enhance its performance autonomously, it could better analyze its training data and refine its understanding.
Subject: computer science
Intent: Literature Understanding
Query: find papers for paragraph " paper adapts the T-FREE method for Russian to improve tokenization-free language models. Traditional tokenizers are often inefficient, especially for complex languages like Russian (Deiseroth et al., 2024). T-FREE reduces memory usage with sparse activation patterns but is underexplored in non-English contexts. This research aims to broaden T-FREE's application to underrepresented languages."
Subject: computer science
Intent: Paper Finding
Query: Find papers on the topic:

"Suppose that a researcher elaborate the follow hypothesis: "every system can be reduced to a computation". The laws of nature. Consciousness... Next, he proceeds: "if I can simulate the book o nature on a computer, with the right conditions I can reproduce every lifeform on earth". And their intelligence, capabilities, etc. This is a borderline philosophical question. But also touch on computer science, physics/chemistry/biology. What would this take? How could this be implemented, thinking on a practical level?"


Subject: computer science
Intent: Paper Finding
Query: Let G = (V, E) be an undirected connected graph. Let n
be the number of vertices in G. Let m be the number of edges in G.
Design an algorithm to output a set of cycles C1, C2, C3, . . . in G such
that for every edge e of G, if e is contained in some cycle in G, then e
is contained in some output cycle Ci. Explain the correctness of your
algorithms. Analyze its running time which should be polynomial in n
and m. Note that you are not required to output all cycles in G, and an
edge of G may appear in multiple output cycles.
Subject: computer science
Intent: Literature Understanding
Query: Both HiSS and LLMFactCheck demonstrate that leveraging LLMs' reasoning capabilities can significantly enhance fact-checking performance. In a study by Bhirangi et al, HiSS was shown to outperform traditional supervised models by 1.9% to 8% in F1 scores across different datasets, similar to how LLMFactCheck's use of in-context learning boosts the accuracy of models like GPT-4 and GPT-3.5 Turbo
Subject: computer science
Intent: Other
Query: Air Traffic Control (ATC) plays an indispensable role in ensuring the safety and efficiency of global aviation. Effective communication between air traffic controllers (ATCOs) and pilots is critical, as it directly impacts the operational safety of flight missions. The International Civil Aviation Organization (ICAO) mandates the use of standardized phraseology to minimize communication ambiguities. However, real-world ATC communications often deviate from these standards, especially in multilingual regions where English is spoken with various non-native accents. These deviations, coupled with the inherent complexity of ATC interactions, pose significant challenges for Automatic Speech Recognition (ASR) systems tasked with transcribing ATC communications.

Find citations
Subject: aviation
Intent: Paper Finding
Query: Silicon carbide green body fabricated by selective laser sintering with resin-coated silicon carbide powder, size 5×10×45mm, bulk density 1.55g/cm3, porosity 45%. Now the sample is treated by CIP at 150MPa for 2.5 minutes. After CIP treatment, the green body breaks into several pieces. Why? How to improve and avoid this situation?
Subject: engineering
Intent: Literature Understanding
Query: Recent advances in speaker diarization have seen a shift toward end-to-end and multimodal approaches, employing diverse clustering methods. However, a critical limitation lies in the clustering stage, where heuristic-based methods often fail to leverage the full potential of multimodal data. In this work, we address this gap by introducing \textsc{M2SD}, a novel framework that fuses audio-visual modalities through a trainable attention mechanism. The embeddings are fine-tuned using a multitask objective to simultaneously predict speaker counts and assign speaker labels. This further enables dynamic, data-driven clustering that adapts to the number of active speakers in each segment. Additionally, we incorporate a masking mechanism to handle cases of missing modalities, ensuring robustness in challenging real-world conditions. We evaluate \textsc{M2SD} on the AVA-AVD corpus, demonstrating state-of-the-art performance and highlighting the effectiveness of multitask multimodal learning for speaker diarization.

Evaluate this for novelty and if it a good idea for publishing in Interspeech. Check prior works
Subject: computer science
Intent: Paper Understanding
Query: One study found that the co-administration of Lactobacillus spp. with daidzein increased the production of equol in human gut microbiota, leading to improved liver function and reduced lipid accumulation in the liver . Another study found that the co-administration of Lactobacillus spp. with daidzein reduced liver steatosis and inflammation in a mouse model of MAFLD 
Subject: medicine
Intent: Other
Query: I need to create a study guide to prepare for a seminar I am participating in. This week we are focusing on four papers on the topic of video segmentation. If I give you the four papers, can you curate a study guide that covers the essential papers that are required to be read to fully understand the four papers? I would assume that you would look at the foundational papers referenced in these works, and then the influential papers then referenced by those papers, and so forth. I need a list of papers that I would be able to cover in approximately four days. The papers are the following: 
* Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation  (He  et al.)
* Tracking Anything with Decoupled Video Segmentation (Cheng et al.)
* SAM 2: Segment Anything in Images and Videos  (Ravi et al.)
* Context Enhanced Transformer for Single Image Object Detection (An et al.)
Subject: computer science
Intent: Literature Understanding
Query: While research into sentiment analysis of tourism and cultural identity has grown, several lacunae persist. First, there is a need for comparative sentiment analyses that capture the unique socio-political realities and linguistic characteristics of adjacent regions. Second, robust, multilingual or code-switched sentiment tools remain underdeveloped, limiting the accuracy of studies in regions like Southeastern Europe. Third, the role of external factors, such as political shifts, global pandemics, or climate events, remains underexplored. Future research might consider these macro-level disruptors to better interpret fluctuations in sentiment over time (Cambria et al. 2014). Building on these insights, the present study aims to employ VADER for a multi-platform, comparative sentiment analysis of the Montenegrin coastal region and Dalmatia, leveraging Social Identity Theory to contextualize the findings. By doing so, we strive to fill a methodological and geographical gap in the literature, offering a deeper understanding of how digital narratives shape and reflect cultural identity and tourism development across two historically and socially rich regions
Subject: computer science
Intent: Other
Query: Give me refrences about each application: "In the modern digital era, OSNs have evolved into dynamic ecosystems that facilitate seamless communication, large-scale information exchange, and interactive social engagement. With billions of users actively participating daily, OSNs generate massive volumes of data, providing invaluable opportunities for researchers to investigate user behavior, social influence, and the complex mechanisms of information diffusion. These analyses are crucial for a wide range of applications, including enhancing public health interventions, mitigating the spread of misinformation, detecting communities, and optimizing viral marketing strategies . "
Subject: computer science
Intent: Paper Finding
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 several research AIMS and Significances in seperate  research  AIMS for clarity, coherence and conciseness, ensuring each paragraph flows into the next. Remove jargon. Use a professional tone.
Subject: computer science
Intent: Ideation
Query: I now need to carry out a task to fit the interatomic interaction potential for Li-Sn binary materials by GAP method in the context of Li battery research, during which GAP-RSS method is involved, molecular dynamics simulations are carried out after the fitting of the potential function is completed, and different rates of Li stripping are carried out for the Li-Sn structures with different concentrations of Li. Please give a detailed and rigorous introduction and program of the study.
Subject: engineering
Intent: Literature Understanding
Query: write an abstract for my paper that talks about "federated learning for the intrusion detection system: review" 
the sections for this paper: 
1. Introduction
2. federated learning concept
3. taxonomy of federated learning 
4. Related work
5. Intrusion detection system concept, types, and FL-based IDS
6. threat model FL
7. Security attacks and defense mechanisms in federated learning
8. Privacy attacks and defense mechanisms in federated learning
9. challenges of FL-based IDS
Subject: computer science
Intent: Other
Query: Internal users are those who work directly with the accounting information or have access to it within the company (Luca. 2008)(Dalmácio et al. 2004). They include company management, managers of various levels, and employees (Luca. 2008)(Dalmácio et al. 2004). Internal users have immediate and full access to both public and internal information from the organization (Luca. 2008).
Subject: business
Intent: Other
Query: Research status and prospects of wear and corrosion resistant coatings on the surfaces of downhole tools in oil wells 1.Preface 2.Corrosion mechanism of downhole oil wells 3.Downhole tool surface coating system 3.1 Main coating preparation technology 3.2 High entropy alloy coating 3.3 Cr-based alloy coating 4.Summary and prospects And citing the literature
Subject: engineering
Intent: Literature Understanding
Query: Find papers on 

Select a suitable solvent that does not interfere with the regions analyzed in the sample during 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: The atomic coordinates for the Cs crystal structure with space group 225 are as follows:

- Cs: (0, 0, 0)

This is because space group 225 corresponds to the Pm-3m cubic lattice, which is the simplest cubic lattice where atoms are located at the corners of the cube. For cesium (Cs), it occupies the (0, 0, 0) position in this lattice.
Subject: engineering
Intent: Other
Query: My study addresses assigning weights to individual test items based on their Predictive Validity Index (Vi), computed using the Gulliksen method. Vi measures an item's ability to predict outcomes like grade point average (GPA), a common indicator of academic success. By weighting items according to their predictive capacity, this research determines if Vi-based scoring can provide a more valid measure of students' potential than traditional scoring. Vi-based scoring is hypothesized to significantly improve predictive accuracy, offering a more precise tool for college admissions and enhancing decision-making for institutions and students. Provide me related literature

Subject: psychology
Intent: Literature Understanding
Query: Other “anti-aging” factors such as metformin, resveratrol, nicotinamide mononucleotide (NMN), alpha-ketoglutarate (KG), Rapamycin, Sirt6, growth hormone, and etc., all are somehow linked to epigenetic, metabolic, and immune regulations(5, 6). Another class of “senolytic” molecules involved in clearance of old, non-functional, and damaged cells are still working in corporation with the immune system to achieve anti-aging results.
Subject: biology
Intent: Other
Query: When a transient, high-pressure pulse is applied to the cell, the lipid bilayer structure of the cell membrane reorganizes locally, forming micropores that provide a pathway for large molecules such as exogenous nucleic acids to enter the cell's interior. After the electrical pulse ends, the cell membrane repairs itself, sealing the imported DNA inside the cell. Subsequently, these blocked exogenous DNA may be integrated into the host genome by the cell's DNA repair mechanism, or expressed within the cell to achieve the transformation of genetic material.
Subject: biology
Intent: Other
Query: I’m looking for recent and foundational papers and reviews that use Density Functional Theory (DFT) to study hydrogen embrittlement in structural metals. Specifically, I’m interested in works that: 1. Explore hydrogen interactions with defects (vacancies, dislocations, grain boundaries, interfaces), 2. Analyze atomic-scale embrittlement mechanisms such as HEDE, HELP, HESIV, and AIDE using first-principles methods, 3. Discuss computational methodology choices (e.g., exchange-correlation functionals, ZPE, spin polarization) in DFT applied to H-metal systems, 4. Link electronic structure changes to macroscopic mechanical behavior, and 5. Provide material-specific insights for steels, nickel alloys, or other hydrogen-relevant materials. Please include both review articles and key research papers from the past 10–15 years that have significantly advanced the field.
Subject: engineering
Intent: Paper Finding
Query: learn about a concept. Understanding Transport Professionals' Response to Sexual Harassment Legislation: Navigating Implementation Challenges and Strategies to Improve Safety in Public Transport Systems (Garrido et al. 2023) is a relevant study that explores the perspectives and strategies of transport professionals in implementing sexual harassment legislation in public transport systems. The study aims to fill the gap in existing literature by examining how transport professionals perceive and plan to implement these laws, the challenges they face, and the innovative strategies they propose to enhance safety.

The study found that transport professionals perceive sexual harassment legislation as a complex challenge, requiring a multifaceted approach to address the root causes of harassment (Garrido et al. 2023). They recognize the need for a combination of design interventions, user education, and policy enforcement to create safer public spaces (Garrido et al. 2023). However, they also anticipate challenges in implementing safety measures, such as lack of resources, inadequate training, and resistance to change (Garrido et al. 2023).

To navigate these challenges, transport professionals propose innovative strategies, including the development of specific guidelines and best practices for implementation, the creation of a safe and inclusive transport culture, and the use of technology to enhance safety and reporting mechanisms (Garrido et al. 2023). They also emphasize the importance of engaging with stakeholders, including users, communities, and policymakers, to ensure that safety measures are effective and inclusive (Garrido et al. 2023).

The study contributes to the broader discourse on gender-sensitive transport planning by providing practical insights for policymakers and practitioners seeking to create safer and more inclusive public transport systems (Garrido et al. 2023). The findings offer a foundation for developing targeted guidelines and best practices that can be adapted across diverse contexts, thereby enhancing the safety and mobility of all users, particularly women and vulnerable groups (Garrido et al. 2023).

References
Cristina Isabel Covelli Garrido, Alessandro Giovannini, Annalisa Mangone, Fulvio Silvestri. Managing Urban Mobility during Big Events through Living Lab Approach. 2023. Sustainability.
Subject: transportation studies
Intent: Paper Understanding
Query: Here is a list of potential drug targets. Give as many details has possible on the proteins and sort them by interest for drug design: 

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: Consider this discussion: https://mathoverflow.net/questions/131110/what-are-the-main-structure-theorems-on-finitely-generated-commutative-monoids#:~:text=If%20a%20finitely%20generated%20commutative,finitely%20generated%20free%20abelian%20group

Is the word problem for finitely generated commutative monoids in TC0?
Subject: computer science
Intent: Literature Understanding
Query: This project develops an innovative experiential learning program that creates accessible pathways into emerging technology careers through a partnership between a Hispanic-serving institution in northwest Los Angeles and regional technology employers. The program specifically targets learners with some existing STEM competencies, aligning with ExLENT's "Beginnings" track, to deepen their knowledge and skills in emerging technologies through a flexible, hybrid model combining virtual training, in-person mentorship, and industry-driven project-based learning.
Subject: education
Intent: Other
Query: 2	Enhancing Bioavailability of Quercetin through Nanotechnology: Evidence and Mechanisms In Vivo Studies on Bioavailability Enhancement
*   IV.B.1.  Pharmacokinetic Studies in Animal Models (Comparing AUC, Cmax, and other parameters for nano-quercetin vs. free quercetin)
*   IV.B.2.  Tissue Distribution Studies (Examining enhanced quercetin accumulation in target tissues)
  write content in context of quercetin 
Subject: medicine
Intent: Literature Understanding