14 papers · ranked by Valyu relevance
Ruzhang Zhao, Jiuyao Lu, Yuzi Li, Weiqiang Zhou + 2 more
Selecting highly variable genes (HVGs) is a critical step in single-cell RNA sequencing data analysis. We benchmark 47 HVG selection methods across 19 datasets, 18 evaluation criteria, and 5,358 settings. Hybrid methods - mixtures of multiple baseline HVG approaches - robustly outperform individual methods. Based on…
Aryan Jain, James Javier Jr., Kyle Nguyen-Ngo, Micheal Tadros + 1 more
Colonoscopy is central to colorectal cancer (CRC) prevention, and its effectiveness is determined by the quality of mucosal inspection and lesion detection. The adenoma detection rate (ADR) remains the most widely validated quality benchmark due to its strong inverse association with interval CRC. However, reliance on…
Annemarie H. Eckes‐Shephard, Arthur P. K. Argles, Bogdan Brzeziecki, Peter M. Cox + 22 more
Title: Summary 1. Vegetation demographic models (VDMs) are advanced tools for simulating forest responses to climate and land-use changes, and are essential for projecting carbon cycling and large-scale forest management strategies. Despite their increasing incorporation into Earth System Models, VDMs differ in their…
Bessie Dominguez-Dager, Felix Escalona, Francisco Gomez-Donoso, Miguel Cazorla
Person re-identification (Re-ID) is a key challenge in computer vision, requiring the matching of individuals across cameras, locations, and time. While most research focuses on short-term scenarios with minimal appearance changes, real-world applications demand robust systems that handle long-term variations caused by…
Jessica Bertschmann, Yang Xu, Conrad Bayley, Ahmad Abdellatif + 1 more
Background/objectives Large Language Models (LLMs) are increasingly used in medicine for tasks ranging from patient communication to exam preparation. This study aimed to evaluate the feasibility of using a domain-specific, out-of-training-data radiation and cancer biology examination as a benchmarking framework for…
Daniel Walter, Mathias Helbig, Birgit Weydanz, Dominik Voltmer + 3 more
Peaks: Attention-Based Feature Extraction for Automated Chromatographic Peak Detection Authors: Daniel Walter, Mathias Helbig, Birgit Weydanz, Dominik Voltmer, Juan Jose Bonfiglio, Carsten Marr, Tobias Großkopf Reliable peak detection remains a bottleneck in size-exclusion chromatography (SEC) as overlapping signals…
Xuehua Zhou, Hanming Zhang, Tiantian Du, Quanbo Yuan + 2 more
Accurate prediction of marine and atmospheric environmental variables is important for climate adaptation, ecosystem management, and operational decision-making, yet practitioners still lack clear guidance on which machine-learning models are reliable across heterogeneous environmental tasks. We therefore developed a…
Aleksandra Kisilewicz, Małgorzata Smoter, Robert Trybulski
Purpose Injury prevention in sport is increasingly recognized as a health priority, and monitoring internal load during routine training offers a pragmatic pathway to reduce overuse risk and support long-term athlete health. This study examined the extent to which three practical physiological markers (resting heart…
Ben D. M. Jones, Jon Wheat, Kane Middleton, David L. Carey + 2 more
Highlights What are the main findings? 1. Agreement of running stride-time variability measures derived from wearable devices with those derived from force plates ranged from moderate to excellent. 2. Between-day reliability for each stride-time variability measure was fairly consistent across devices.What is the…
Mostafa Abdollahpur, Louise Gren, Katrin Dierschke, Leo Stockfelt + 2 more
Background Air pollution is a major public health concern, contributing to cardiovascular and respiratory diseases. One of the main pathways by which air pollution affects cardiovascular health is through dysregulation of the autonomic nervous system (ANS), which impairs cardiac control. Hydrotreated vegetable oil…
Aaron Y. Wong, Anaëlle E. Charles, Caitlin Mills, Nick Stergiou + 2 more
The cognitive phenomenon, known as task-unrelated thought, reflects the attention shift of one’s mind away from the task at hand. Evidence suggests that task-unrelated thought occurs in 30-50% of people’s waking time. Previous research using the metronome response task shows that task-unrelated thought is related to…
Sabrina T Amorim, Kelli J Retallick, André Garcia, Noelia Ibañez-Escriche + 1 more
Economic incentives have increased the demand for uniformity in beef production, making it a valuable phenotype for genetic studies. Genetic heterogeneity of residual variance suggests that variability around the mean may have a genetic component and could potentially respond to selection. However, evidence for genetic…
Tommaso Grossi, Lorenzo Micheli, Matteo Magnoni, Vahid Shoaei + 4 more
Background: The primary aim of this study is to evaluate the concurrent validity and practical applicability of the MetricVBT smartphone application compared with the Vitruve linear position transducer (VitruveLPT) for measuring mean velocity (MV) and peak velocity (PV) at one-repetition maximum (1-RM) during the Smith…
Marko Glogoški, Tomislav Gojak, Duje Lisičić, Ivan Cizelj + 2 more
Background Behavioral adaptations are considered an important factor of population success in colonizing novel environments. Individuals can be selected for specific behavioral traits during transport, introduction and especially establishment phase of the invasion process. Aside from population level average of…