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182 values
what is the environmental impact of AI
Literature Understanding
computer science
Ethical AI in banking
Literature Understanding
computer science
find a paper on software defects prediction or software fault ...
Paper Finding
computer science
papers about isac and ai
Paper Finding
computer science
Regulation of very long-chain fatty acid elongation by nutrient sensing and cellular stress
Literature Understanding
biology
Summarize A Reassessment of Monetary Policy Surprises and High-Frequency Identification
Paper Understanding
finance
What are the best model classes for paraphrasing which does *not* rely on giant neural networks (i.e. LLMs)?
Literature Understanding
computer science
what is conflict in intimate partnership
Literature Understanding
psychology
Universal design for learning
Literature Understanding
education
What is LERC score from this paper: https://aclanthology.org/2020.emnlp-main.528/? What is the difference between LERC and BERTScore? Which one is better to use in evaluating the answer's overlap score?
Paper Understanding
computer science
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 "Making Monolingual Sentence Embeddings Multilingual Using Knowledge Distillation" published in 2020, 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.
Literature Understanding
computer science
which AI method is best for drug response prediction using multi-omics data
Literature Understanding
biology
The role of employer branding in recruitment in Vietnam enterprises
Literature Understanding
business
please find studies on how stress can reduce healthspan
Paper Finding
biology
What is balance sheet
Literature Understanding
business
how many different types of origin of replication are there on plasmids?
Literature Understanding
biology
How to make a tourism policy analysis for an academic article?
Ideation
tourism studies
What are the most relevant papers in 2023-2025 on Query Performance Prediction?
Paper Finding
computer science
Depiction ofposthumanism in fiction
Literature Understanding
literature
HER2 ADC companion diagnostic
Literature Understanding
medicine
generation with attribution for LLM
Paper Finding
computer science
Results of a study on the impact of cybersecurity on the sustainability of organizations
Literature Understanding
business
Find papers that understand LLM alignment through distributions.
Paper Finding
computer science
is there any work which propose sampling method that induce more diverse output from language models?
Paper Finding
computer science
Complex scientific annotation tasks
Literature Understanding
computer science
I want to study the attitude and behavior intention of college students towards intelligence education. What aspects should the research background start from?
Ideation
education
how can lower temperature influence the expression in ecoli positively?
Literature Understanding
biology
AI cloth pattern design
Paper Finding
computer science
how to enable LLMs with the ability to do predictive analysis over tabular data?
Literature Understanding
computer science
AI-Driven Cybersecurity Strategies for Protecting Industrial Control Systems in the Oil and Gas Industry
Literature Understanding
computer science
can you describe findings on agile work design and multi-level organizational social dynamics
Literature Understanding
organizational behavior
How many electrons are in the human body?
Literature Understanding
physics
please explain the following paper: C. Weder, G. Müller, B. Brümmer. Precipitation extremes on time scales from minute to month measured at the Hamburg Weather Mast 1997-2014 and their relation to synoptic weather types. 2017
Paper Understanding
physics
What are the recent developments in feedback research
Literature Understanding
psychology
bias in large language models
Literature Understanding
computer science
Are research in decentralised control loops in ORAN?
Literature Understanding
computer science
What are the principles of strategic synergy?
Literature Understanding
business
what kind of dirty data sets can be repaired with baran ?
Literature Understanding
computer science
How many batteries will be manufactured in the United States in 2030?
Literature Understanding
finance
What Human Agent Interaction
Literature Understanding
computer science
Magnetic properties of the TiO end of STO
Literature Understanding
engineering
use GNN methods to solve the problem of source localization
Literature Understanding
computer science
If an enterprise solely focuses on hygiene factors (such as salary increases) while neglecting motivator factors (such as empowerment and recognition of achievements), employees may lack the motivation for long-term commitment or to fully realize their potential.
Literature Understanding
business
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.
Other
computer science
is AURKB overexpression associated with response to nab-Paclitaxel for treating triple negative breast cancer ?
Literature Understanding
medicine
The industrialization of Canada can be traced back several decades that can be regarded as significant in the country’s history. Canadian industrialization in the historical perspective originated from early 1800’s when Canada started changing from an agricultural and trading country to industry-based economy. The industrialization process in Canada occurred in several phases with technological developments, the availability of natural resources, the immigration of people, and the policies of the government as the determinants. In this essay, the historical advancements and general milestones defining the industrialization journey in Canada will be outlined. The First Wave of Industrialization (1945 – 1975) Canada’s industrial development started right from when it became a nation in 1867 through Confederation that led to the establishment of the Dominion of Canada. It was during this time that the country was more or less an agrarian society with not much commercial and industrial development or advancement in scientific or technological sectors. However, the National Policy of 1879 signaled the dawn of the first phase of industrialization of the economy within Canada. The Canadian Tariffs which were formulated as a National Policy meant to protect industries from foreign competition increased manufacturing and economic diversification. This policy saw the development of the railway system for the nation and development of industries in manufacturing, mining, and forestry. This phase was characterized by development of infrastructures and the most major one was the construction of the Canadian Pacific Railway (CPR) from 1881 to 1885. The railway marked the division of east and west of the country and extended accessibility to the otherwise uninhabited territories for colonization and exploitation. They carried out a large workforce which summated thousands of immigrants from Europe particularly from the British Isles which in turn accelerated population and industrial advancement. While contributing to the flow of people and commodities across the country the CPR was instrumental in the process of exploitation of natural resources in Canada. It extended into the Prairie provinces thereby playing a significant role in the development of the wheat as well as the cattle industries and into the resourceful regions of British Columbia thereby contributing to the development of the lumber and mining industries. The First World War in 1914 exposed Canada to globalization and industrialization since the country offered products such as resources and weapons to the Allied countries. Canadian companies also built up their businesses and new industries like automobile industry, chemical industry etc was established. The Second Industrial Revolution (1919-1960s) Post-war and during the interwar years, Canada experienced a steady but slow rate of industrialization and was still predominantly an agricultural country. While the Great Depression of the 1930s set back the industrialization process, the Second World War (1939-1945) brought industrialization back in full force due to Canada’s involvement in the war effort for the Allies. The postwar period is generally considered the starting point for the second phase of industrialization in Canada. Other factors that include natural resource endowment, a growing consumer market and skilled workforce helped the country to industrialize further and build more diversified economy. Among the drives that facilitated the advancement of this phase of industrialization was the expansion of the car manufacturing industry. Business entities like Ford and GM invested in motor manufacturing industries which created employment opportunities in Canada. The development of this industry also created demand for steel and other materials, positively impacting the performance of mining companies and steel manufacturers. The 1950s and 1960s also marked the beginning of the development of new industries in Canada, especially electronics and aerospace. Businesses like Bell Canada and Nortel were in a position to contribute to the industrialization of the nation as they grew to become international telecoms giants. The Third Wave of Industrialization (1970s To Present) Canada entered the third phase of industrialization in the 1970s which is associated with the rise of post-industrialism. This wave was due to several reasons such as conventional natural resources depletion factor, increased energy costs, transition to a more educated skilled human resource. In this phase, Canada has experienced the growth of sectors like IT, bio tech and finance sectors among others. These sectors have experienced further development due to government incentives on innovation and entrepreneurship, in addition to trade liberalization which has paved way for globalization enabling Canadian companies to export products to various international markets. A rapid expansion of the service sector has taken place in Canada especially the business and technical services, and financial services starting from 1980s. Recent shifts to the knowledge economy have led to the development of Sci-Tech communities in metropolitan cities like Toronto, Montreal, and Vancouver where most of the technology, research and education hubs exist. Conclusion In conclusion, this paper has shown that the advancement of industrialization in Canada was a display of the country’s strength and capability in capturing the natural endowment with a view of enhancing the nation’s wealth. Based on existing literature, the process of industrialization has been observed to take a long time and it takes several phases where each phase has different factors influencing it, different technologies and different policies. The industrialization process of Canada has had fluctuations that include the construction of the Canada Pacific Railway in the 1880s up to the development of information and technology-based industries in the current society. Nevertheless, throughout this period the state has been able to sustain a robust and developed economy that has allowed this country to withstand the impact of globalization and continue to play an active role in the global economy.
Other
social sciences
Technical Explanation of Multimodal LLM
Literature Understanding
computer science
Research on materials informatics using generative AI
Literature Understanding
engineering
papers about video games sociology
Paper Finding
social sciences
design practitioners typically play with low-fidelity prototypes and rough sketches (\eg~\cite{}) to explore multiple conceptual paths before committing to detailed development.
Other
arts
Review of Konjac Glucomannan Structure, Properties, Gelation Mechanism
Literature Understanding
food science
Thyroid stimulating hormone expression recombinant
Paper Finding
biology
Can you suggest papers involving NeRF? Specifically, 2D to 3D modeling.
Paper Finding
computer science
What is the benefit of smaller semiconductor process nodes?
Literature Understanding
engineering
Universal Neural audio codec trained with audioset
Paper Finding
computer science
high density multi-electrode array (HD-MEA)
Literature Understanding
neuroscience
Blockchain technology has revolutionized decentralized data management by ensuring security, transparency, and immutability. However, scalability limitations remain a critical bottleneck, particularly in permissionless blockchains that require high transaction throughput. The growing demand for decentralized applications (DApps) has highlighted the inefficiencies of traditional blockchain architectures, which struggle with increased network congestion and transaction latency. Sharding has emerged as a promising scalability solution, partitioning the blockchain network into smaller, independently processed units known as shards. Despite its potential, sharding faces key challenges in ensuring security, reducing cross-shard communication, and optimizing node-shard assignments. Existing approaches, such as Random Sharding (RS), provide strong security guarantees but suffer from poor scalability. Alternatively, Genetic Algorithm (GA)-based sharding has demonstrated moderate performance improvements but remains computationally expensive and prone to local optima. To address these challenges, this paper explores Ant Colony Optimization (ACO) and Reinforcement Learning (RL) as advanced optimization techniques for secure and scalable blockchain sharding. ACO leverages a pheromone-inspired heuristic mechanism to dynamically allocate nodes to shards, balancing security and performance. Meanwhile, RL employs a learning-based adaptation strategy to iteratively refine shard assignments based on observed network conditions. Through extensive experimentation on over 360,000 test cases, this study compares the effectiveness of ACO, RL, GA, and RS across three key metrics: Scalability – measured by transaction throughput and network efficiency. Security – evaluated based on adversary tolerance in sharded architectures. Computational Efficiency – assessed via execution time and convergence speed. The results demonstrate that ACO achieves the highest balance between scalability and security, outperforming GA and RS while maintaining efficient execution. RL exhibits the highest scalability potential but suffers from performance variability. To the best of our knowledge, this is the first comprehensive comparative study of ACO and RL in permissionless blockchain sharding. These insights contribute to the development of more efficient and adaptable blockchain scaling mechanisms.
Other
computer science
most important papers on vascular medicine
Paper Finding
medicine
Parameter identification of BLDC motor model via machine learning techniques
Paper Finding
engineering
• can you analyse the legal framework related to REDD+ National Strategy formulation and implementation in sierra leone
Literature Understanding
environmental science
Is there a relationship between a good product UI and customer churn or customer referral?
Literature Understanding
business
Zinc hydroxide Crystal structure
Literature Understanding
chemistry
Characteristics of sentences that are easy for people with aphasia to read
Literature Understanding
medicine
what have people done wrt ensemble methods and fair voting policy? for example condorcet vs majority voting etc. etc.? has there been work? has there been work with minority voices / communities in this respect?
Literature Understanding
computer science
measuring heartrate from face camera based on machine learning
Literature Understanding
computer science
Definition of Multi-agent system
Literature Understanding
computer science
what are the most important criticisms against cost-benefit analysis for transport project evaluation?
Literature Understanding
finance
give me papers on transformer and its other versions
Paper Finding
computer science
In the AdS/CFT correspondence, is there any literature that studies the Higgs phenomenon in which the SU(N) gauge symmetry is broken?
Paper Finding
physics
Joint symbolic aggregate approximation of time series
Literature Understanding
computer science
method to develop digital literacy model
Literature Understanding
education
Density of states at the TiO end of strontium titanate
Literature Understanding
engineering
optimization of read latency, capacity, power consumption, etc.. of flash-based PIM It is about information theory
Literature Understanding
computer science
What are the most relevant research topics on Information Retrieval?
Ideation
computer science
digital health education learning for medical students
Literature Understanding
medicine
Can you suggest 3 papers that study LLMs' abilities of generating new research ideas in NLP in Korean?
Paper Finding
computer science
Hello. I am a master's student in energy systems engineering, specializing in modeling and renewable energies. I am currently focused on my thesis and conducting research. I want to conduct research on reducing and optimizing energy consumption in buildings in a way that is related to my field, which is renewable energies. The type and process of the project must be software-based and I do not have the ability to use physical equipment. I also have problems and deficiencies in collecting data. What do you think I should work on in this area that is both innovative and meets the stated needs?
Ideation
engineering
find papers on data center heat recovery
Paper Finding
engineering
what is the effect of edible coating enriched with natural bioactiive from plant on the quality of fish meat ?
Literature Understanding
food science
spatial resilience ecosystem stability
Literature Understanding
environmental science
Green Economy Modeling: o Incorporating green economy principles into the energy transition. write this for phd proposal include academic references
Ideation
finance
Standardized Evaluation of Software Requirements Engineering
Literature Understanding
computer science
Why are IoCs not preferable in Cyber Security defence
Literature Understanding
computer science
Will the preset values ​​of the questionnaire scale affect the answer results?
Literature Understanding
psychology
are there any work that employ CoT with LLM-as-a-judge?
Paper Finding
computer science
Papers about generating therapeutic response in mental health with LLMs
Paper Finding
computer science
two-factor authentication in the context of FIDO2 and WebAuthn
Literature Understanding
computer science
TiO2 acts between FeSe/STO interfaces
Literature Understanding
engineering
How do you derive liver cells from iPSCs?
Literature Understanding
biology
Attitude control of a pocket CubeSat using magnetic torquers
Paper Finding
engineering
I am working on a SWOT analysis of ABM (Agent-Based Modeling) frameworks. To complete this, I need a comprehensive list of other ABM tools available in the market along with their key strengths. Could you provide detailed information on these tools and their unique advantages and disadvantages?
Literature Understanding
computer science
Which is more inflammatory: a carboxyl group or a carboxylic acid group?
Literature Understanding
chemistry
LLM and temporal graph reasoning
Literature Understanding
computer science
"Workplace Violence in Nurses"
Literature Understanding
medicine
pigmented skin lesion detection in clinical images
Paper Finding
computer science
how high low and band pass filters and tanh distortion help mimic radio noise
Literature Understanding
computer science
How many subgenes does fish tcf3 have and what are the differences in their functions?
Literature Understanding
biology
suggest the papers that have used reinforcement learning on large language models for tabular reasoning tasks
Paper Finding
computer science
How to capture requirements for systems that include ML components
Literature Understanding
computer science
summarize this paper More Control for Free! Image Synthesis with Semantic Diffusion Guidance
Paper Understanding
computer science