1. Smartphone as a Personal, Pervasive Health Informatics Services Platform: Literature Review

   http://arxiv.org/abs/1310.7965v1 · arxiv

   Objectives: The article provides an overview of current trends in personal sensor, signal and imaging informatics, that are based on emerging mobile computing and communications technologies enclosed in a smartphone and enabling the provision of personal, pervasive health informatics services. Met

2. A Review of the Recent Developments in the Fabrication Processes of CMOS Image Sensors for Smartphones

   http://arxiv.org/abs/2306.05339v1 · arxiv

   CMOS Image Sensors are experiencing significant growth due to their capabilities to be integrated in smartphones with refined image quality. One of the major contributions to the growth of image sensors is the innovation brought about in their fabrication processes. This paper presents a detailed re

3. Review Arcade: On the Human Alignment and Gameability of LLM Reviews

   http://arxiv.org/abs/2605.28897v1 · arxiv

   LLM-generated reviews for scientific papers are gaining considerable traction and are even being officially piloted by major conferences. We have to assume that not only reviewers are using LLM-assistance, but also that authors use LLMs to revise their papers before submitting. In this work, we perf

4. Ultracold atomic lattice systems for simulating topological phases: A review

   http://arxiv.org/abs/2606.16598v2 · arxiv

   Owing to rapid recent progress, ultracold atomic lattice systems for simulating topological phases are now at a pivotal stage, evolving from established paradigms into increasingly versatile and programmable quantum simulators. In this review, we survey recent experimental advances across four major

5. The Power of Smartphones

   http://arxiv.org/abs/1312.6740v1 · arxiv

   Smartphones have been shipped with multiple wireless network interfaces in order to meet their diverse communication and networking demands. However, as smartphones increasingly rely on wireless network connections to realize more functions, the demand of energy has been significantly increased, whi

6. When AI Reviews Train AI Reviewers: Scientific-Judgment Collapse and Mitigation

   http://arxiv.org/abs/2609.20942v1 · arxiv

   Large language models (LLMs) increasingly participate in scientific evaluation, both as automated reviewers and as assistants to human reviewers. As model-generated reviews enter public data and future training corpora, AI peer review can become recursive: later reviewers learn from judgments produc

7. Air taxi service for urban mobility: A critical review of recent developments, future challenges, and opportunities

   http://arxiv.org/abs/2103.01768v1 · arxiv

   Expected to operate in the imminent future, air taxi service (ATS) is an aerial on-demand transport for a single passenger or a small group of riders, which seeks to transform the method of everyday commute. This uncharted territory in the emerging transportation world is anticipated to enable consu

8. Does the use of open, non-anonymous peer review in scholarly publishing introduce bias? Evidence from the F1000 post-publication open peer review publishing model

   http://arxiv.org/abs/1911.03379v1 · arxiv

   This study examines whether there is any evidence of bias in two areas of common critique of open, non-anonymous peer review - and used in the post-publication, peer review system operated by the open-access scholarly publishing platform F1000Research. First, is there evidence of bias where a review

9. AI Assistance for Human Review of Default Judgments

   http://arxiv.org/abs/2607.01256v1 · arxiv

   Overwhelmed courts in the United States review millions of default judgments each year. Unfortunately, such manual reviews are time-consuming and prone to error. In an audit of 188 debt collection cases granted default judgment by the Superior Court of Los Angeles, we find that 4% contained major de

10. The Second-Level Smartphone Divide: A Typology of Smartphone Usage Based on Frequency of Use, Skills, and Types of Activities

    http://arxiv.org/abs/2111.05142v1 · arxiv

    This paper examines inequalities in the usage of smartphone technology based on five samples of smartphone owners collected in Germany and Austria between 2016 and 2020. We identify six distinct types of smartphone users by conducting latent class analyses that classify individuals based on their fr

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