1. Statistical Applications in Pain Management: A Review

   http://arxiv.org/abs/2309.06451v2 · arxiv

   Chronic pain is a widespread and debilitating condition that affects millions of individuals worldwide. Recent research has unveiled a connection between chronic pain and epigenetic processes, shedding light on the complex interplay between genetics, environment, and pain perception. This review syn

2. A Review of Annual Review of Astronomy and Astrophysics, Volume 52, 2014

   http://arxiv.org/abs/1505.06570v1 · arxiv

   A review of the Annual Review of Astronomy and Astrophysics Volume 52, 2014 (Ed. S.M. Faber, Ewine van Dishoeck, and John Kormendy) is given, with a perspective of understanding the current trends in Astronomy and Astrophysics. The impact of high volume data, high connectivity, and fast computations

3. A Review of Product Safety Regulations in the European Union

   http://arxiv.org/abs/2102.03679v3 · arxiv

   Product safety has been a concern in Europe ever since the early 1960s. Despite the long and relatively stable historical lineage of product safety regulations, new technologies, changes in the world economy, and other major transformations have in recent years brought product safety again to the fo

4. Smartphone Security Behavioral Scale: A New Psychometric Measurement for Smartphone Security

   http://arxiv.org/abs/2007.01721v2 · arxiv

   Despite widespread use of smartphones, there is no measurement standard targeted at smartphone security behaviors. In this paper we translate a well-known cybersecurity behavioral scale into the smartphone domain and show that we can improve on this translation by following an established psychometr

5. Automatically Annotating Articles Towards Opening and Reusing Transparent Peer Reviews

   http://arxiv.org/abs/1812.01027v1 · arxiv

   An increasing number of scientific publications are created in open and transparent peer review models: a submission is published first, and then reviewers are invited, or a submission is reviewed in a closed environment but then these reviews are published with the final article, or combinations of

6. NoReC: The Norwegian Review Corpus

   http://arxiv.org/abs/1710.05370v1 · arxiv

   This paper presents the Norwegian Review Corpus (NoReC), created for training and evaluating models for document-level sentiment analysis. The full-text reviews have been collected from major Norwegian news sources and cover a range of different domains, including literature, movies, video games, re

7. Large Language Models and Video Games: A Preliminary Scoping Review

   http://arxiv.org/abs/2403.02613v1 · arxiv

   Large language models (LLMs) hold interesting potential for the design, development, and research of video games. Building on the decades of prior research on generative AI in games, many researchers have sped to investigate the power and potential of LLMs for games. Given the recent spike in LLM-re

8. POD: A Smartphone That Flies

   http://arxiv.org/abs/2105.12610v1 · arxiv

   We present POD, a smartphone that flies, as a new way to achieve hands-free, eyes-up mobile computing. Unlike existing drone-carried user interfaces, POD features a smartphone-sized display and the computing and sensing power of a modern smartphone. We share our experience in building a prototype of

9. Aspect-Guided Multi-Level Perturbation Analysis of Large Language Models in Automated Peer Review

   http://arxiv.org/abs/2502.12510v1 · arxiv

   We propose an aspect-guided, multi-level perturbation framework to evaluate the robustness of Large Language Models (LLMs) in automated peer review. Our framework explores perturbations in three key components of the peer review process-papers, reviews, and rebuttals-across several quality aspects,

10. AI-Assisted Peer Review Across Research Communities: From Reviewer AI Policies to LLM Review Quality

    http://arxiv.org/abs/2608.03581v1 · arxiv

    AI-assisted peer review is increasingly discussed and adopted as a tool to support the scientific publishing process, yet there is little systematic understanding of how publication venues regulate its use or of how capable current AI review systems are. We address these questions by first surveying

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