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Warning: Contains harmful model outputs. Despite significant advancements, the propensity of Large Language Models (LLMs) to generate harmful and unethical content poses critical challenges. Measuring value alignment of LLMs becomes crucial…

Computation and Language · Computer Science 2025-06-12 Han Jiang , Xiaoyuan Yi , Zhihua Wei , Ziang Xiao , Shu Wang , Xing Xie

The "genetic purity" of French wild boar populations has been monitored since the 1980s based on a cytogenetic difference between wild boars and domestic pigs (36 and 38 chromosomes, respectively). This difference makes it possible to…

Large Language Models are increasingly popular in genomics due to their potential to decode complex biological sequences. Hence, researchers require a standardized benchmark to evaluate DNA Language Models (DNA LMs) capabilities. However,…

Genomics · Quantitative Biology 2025-12-12 Davide Greco , Konrad Rawlik

We examine the age-dependence of dark matter halo clustering in an unprecedented accuracy using a set of 7 high-resolution cosmological simulations each with $N=1024^3$ particles. We measure the bias parameters for halos over a large mass…

Astrophysics · Physics 2008-11-26 Y. P. Jing , Yasushi Suto , H. J. Mo

Falls during walking are a major health issue in the elderly population. Older individuals are usually more cautious, work more slowly, take shorter steps, and exhibit increased step-to-step variability. They often have impaired dynamic…

Neurons and Cognition · Quantitative Biology 2014-10-13 Philippe Terrier , Fabienne Reynard

The ability of organisms to accurately sense their environment and respond accordingly is critical for evolutionary success. However, exactly how the sensory ability influences fitness is a topic of active research, while the necessity of a…

Populations and Evolution · Quantitative Biology 2020-11-11 Alexander S. Moffett , Nigel Wallbridge , Carrol Plummer , Andrew W. Eckford

Cattle activity is an essential index for monitoring health and welfare of the ruminants. Thus, changes in the livestock behavior are a critical indicator for early detection and prevention of several diseases. Rumination behavior is a…

Computer Vision and Pattern Recognition · Computer Science 2021-01-27 Safa Ayadi , Ahmed ben said , Rateb Jabbar , Chafik Aloulou , Achraf Chabbouh , Ahmed Ben Achballah

Homelessness among US veterans remains a critical public health challenge, yet risk prediction offers a pathway for proactive intervention. In this retrospective prognostic study, we analyzed electronic health record (EHR) data from…

Computation and Language · Computer Science 2026-02-04 Rohan Pandey , Haijuan Yan , Hong Yu , Jack Tsai

We present the first in a series of papers in T$h$e role of $E$nvironment in shaping $L$ow-mass $E$arly-type $N$earby g$a$laxies (hELENa) project. In this paper we combine our sample of 20 low-mass early types (dEs) with 258 massive early…

We aim to provide a detailed characterization of near-infrared spectra for young LT brown dwarfs, including robust spectral typing, calibrating spectral indices, identifying possible binaries, and selecting suitable spectral standards. We…

Solar and Stellar Astrophysics · Physics 2024-05-29 L. Piscarreta , K. Mužić , V. Almendros-Abad , A. Scholz

In this work, we calibrate the relationship between Halpha emission and M dwarf ages. We compile a sample of 892 M dwarfs with Halpha equivalent width (HaEW) measurements from the literature that are either co-moving with a white dwarf of…

When people think of everyday things like an egg, they typically have a mental image associated with it. This allows them to correctly judge, for example, that "the yolk surrounds the shell" is a false statement. Do language models…

Computation and Language · Computer Science 2023-06-09 Yuling Gu , Bhavana Dalvi Mishra , Peter Clark

Early-type galaxies (ETGs) are known to be enhanced in alpha elements, in accordance with their old ages and short formation timescales. In this contribution we aim to resolve the enrichment histories of ETGs. This means we study the…

Astrophysics of Galaxies · Physics 2015-10-07 C. J. Walcher , P. R. T. Coelho , A. Gallazzi , G. Bruzual , S. Charlot , C. Chiappini

The atmospheric boundary layer undergoes significant changes throughout a diurnal cycle, affecting wind turbine performance and wakes in wind farms. Wind farm Large Eddy Simulations (LES) under such conditions provide rich datasets to study…

Fluid Dynamics · Physics 2025-10-07 Shuolin Xiao , Xiaowei Zhu , Ghanesh Narasimhan , Dennice F Gayme , Charles Meneveau

The aim of this paper is to determinate the fundamental parameters of six exoplanet host (EH) stars and their planets. While techniques for detecting exoplanets yield properties of the planet only as a function of the properties of the host…

Solar and Stellar Astrophysics · Physics 2015-06-19 K. Liu , S. L. Bi , T. D. Li , Z. E. Liu , Z. J. Tian , Z. S. Ge

One of the challenges in the widespread use of biocomposites for engineering applications is the influence of environmental conditions on their mechanical properties, particularly for a combination of aging factors such as temperature,…

Applied Physics · Physics 2018-08-23 Arnaud Regazzi , Stéphane Corn , Patrick Ienny , Anne Bergeret

We study the AGN-host co-evolution issue here by focusing on the correlation between the hard X-ray emission from central AGNs and the stellar populations of the host galaxies. By focusing on the galaxies with strong H$\alpha$ line emission…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-15 J. Wang , X. L. Zhou , J. Y Wei

The analysis of electrophysiological recordings of the human brain in resting state is a key experimental technique in neuroscience. Resting state is indeed the default condition to characterize brain dynamics. Its successful implementation…

Neurons and Cognition · Quantitative Biology 2024-05-17 Alessio Perinelli , Leonardo Ricci

We describe extensive numerical experiments assessing and quantifying how classifier performance depends on the quality of the training data, a frequently neglected component of the analysis of classifiers. More specifically, in the…

Machine Learning · Computer Science 2026-02-26 Alan F. Karr , Regina Ruane

We study the Ly$\alpha$ escape fraction, $f_{\mathrm{esc}}^{\mathrm{Ly\alpha}}$ of Ly$\alpha$ emitters (LAEs) identified by Subaru/HSC narrowband imaging at $z = 2.2-6.6$, using publicly available deep imaging data from HST and JWST. We…

Astrophysics of Galaxies · Physics 2025-09-17 Shunta Shimizu , Nobunari Kashikawa , Satoshi Kikuta , Yoshihiro Takeda , Junya Arita , Ryo Emori , Kentaro Koretomo