Results 51 to 60 of about 30,335 (280)
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Deduplication-Aware Healthcare Data Distribution in IoMT
As medical sensors undergo expeditious advancements, there is rising interest in the realm of healthcare applications within the Internet of Medical Things (IoMT) because of its broad applicability in monitoring the health of patients.
Saleh M. Altowaijri
doaj +1 more source
Can nudge-interventions address health service overuse and underuse? Protocol for a systematic review [PDF]
IntroductionNudge-interventions aimed at health professionals are proposed to reduce the overuse and underuse of health services. However, little is known about their effectiveness at changing health professionals’ behaviours in relation to overuse or ...
Ferreira, Giovanni Esteves +5 more
core +1 more source
Deduplicated Sampling On-Demand [PDF]
Data practitioners often sample their datasets to produce representative subsets for their downstream tasks. When entities in a dataset can be partitioned into multiple groups, stratified sampling is commonly used to produce subsets that match a target group distribution, e.g., to select a balanced subset for training a machine learning model. However,
Luca Zecchini +3 more
openaire +2 more sources
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley +1 more source
As the world moves to digital storage for archival purposes, there is an increasing demand for systems that can provide secure data storage in a cost-effective manner. By identifying common chunks of data both within and between files and storing them only once, deduplication can yield cost savings by increasing the utility of a given amount of storage.
Storer, Mark W +3 more
openaire +3 more sources
Racism and racial disparities in firearm violence: A scoping review
Abstract Firearm violence (i.e., interpersonal, police firearm violence) disproportionately affects racially minoritized communities. Researchers recently shifted their focus from race to racism to better understand the factors that contribute to racial disparities in firearm violence.
Daniel B. Lee +8 more
wiley +1 more source
A Compression Technique Exploiting References for Data Synchronization Services [PDF]
Department of Computer Science and EngineeringIn a variety of network applications, there exists significant amount of shared data between two end hosts. Examples include data synchronization services that replicate data from one node to another.
Nam, Wooseung
core
Secure Cloud Storage with Client-Side Encryption Using a Trusted Execution Environment
With the evolution of computer systems, the amount of sensitive data to be stored as well as the number of threats on these data grow up, making the data confidentiality increasingly important to computer users.
da Rocha, Marciano +5 more
core +1 more source
Distributed exact deduplication for primary storage infrastructures [PDF]
Lecture Notes in Computer Science, Volume 8460, 2014Deduplication of primary storage volumes in a cloud computing environment is increasingly desirable, as the resulting space savings contribute to the cost effectiveness of a large scale multi-tenant ...
Paulo, João, Pereira, José
core +3 more sources

