Results 111 to 120 of about 3,836,093 (292)

NLP-Powered Repository and Search Engine for Academic Papers: A Case Study on Cyber Risk Literature with CyLit [PDF]

open access: yesarXiv
As the body of academic literature continues to grow, researchers face increasing difficulties in effectively searching for relevant resources. Existing databases and search engines often fall short of providing a comprehensive and contextually relevant collection of academic literature.
arxiv  

Machine Translation: A Literature Review [PDF]

open access: yesarXiv, 2018
Machine translation (MT) plays an important role in benefiting linguists, sociologists, computer scientists, etc. by processing natural language to translate it into some other natural language. And this demand has grown exponentially over past couple of years, considering the enormous exchange of information between different regions with different ...
arxiv  

Longitudinal Relationship Between Pain and Depression in People With Inflammatory Arthritis: A Narrative Review

open access: yesArthritis Care &Research, EarlyView.
As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Comorbid depression is prevalent in adults with IA, affecting 15% to 39% of people. Although pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox   +3 more
wiley   +1 more source

ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary [PDF]

open access: yesarXiv
The literature review is an indispensable step in the research process. It provides the benefit of comprehending the research problem and understanding the current research situation while conducting a comparative analysis of prior works. However, literature summary is challenging and time consuming.
arxiv  

Understanding Contributors of Resilience in Youth With Childhood‐Onset Systemic Lupus Erythematosus Through a Socioecological Lens: A Mixed‐Methods Study

open access: yesArthritis Care &Research, EarlyView.
Objective This study aimed to identify themes contributing to resilience in childhood‐onset systemic lupus erythematosus (cSLE), distinguish between profiles of resilience, and examine how they relate to underlying themes and patient characteristics. Methods We conducted a mixed‐methods study of 21 patients with cSLE aged 11 to 19 years at a Canadian ...
Isabella Zaffino   +12 more
wiley   +1 more source

Adding Error Bars to Evals: A Statistical Approach to Language Model Evaluations [PDF]

open access: yesarXiv
Evaluations are critical for understanding the capabilities of large language models (LLMs). Fundamentally, evaluations are experiments; but the literature on evaluations has largely ignored the literature from other sciences on experiment analysis and planning.
arxiv  

Gastrointestinal Perforation as a Safety Concern Among Patients With Rheumatoid Arthritis Receiving JAK Inhibitor Therapy: A Systematic Review and Network Meta‐Analysis

open access: yesArthritis Care &Research, EarlyView.
Objective Gastrointestinal perforation (GIP) is a rare and life‐threatening safety concern associated with JAK inhibitors (JAKi). We aimed to review the evidence regarding the risk of GIP associated with the use of JAKi in patients with rheumatoid arthritis (RA) using a systematic review and network meta‐analysis approach.
Thipsukhon Sathapanasiri   +7 more
wiley   +1 more source

Ageism in Rheumatology: the Healthcare Professional's Perspective

open access: yesArthritis Care &Research, Accepted Article.
Objective Ageism (age‐based stereotypes, prejudice, or discrimination) is prevalent and linked to prolonged disability and reduced lifespan in older adults. Little is known about ageism within rheumatology. This study explores the healthcare professional's (HCP) perception of the care of older adults and how ageist attitudes or perspectives may impact ...
Aaron P. Smith   +4 more
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

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