Results 11 to 20 of about 259 (96)
Migrating songbirds regularly use shallow torpor (up to 98% of birds for some species) to save energy (up to 42%) during inactive periods. This Ruby‐crowned Kinglet Corthylio calendula that was captured after a spring snowstorm highlights the value of being able to save energy when encountering unfavourable conditions.
Ryan A. C. Leys +2 more
wiley +1 more source
Abstract Long‐read amplicon sequencing is now routine for fungal metabarcoding, and locating the internal transcribed spacer (ITS) subregions within reads has become a throughput bottleneck. Existing extractors were designed for shorter reads and for datasets in which near‐identical sequences are common, and neither assumption holds for Oxford Nanopore
Aaron O'Brien +4 more
wiley +1 more source
From Regression to Reasoning: Predicting M&A Announcement Returns With Large Language Models
ABSTRACT This study investigates whether large language models (LLMs) can predict short‐term market reactions to M&A announcements. We prompt OpenAI's latest reasoning models (o3, GPT‐5, and GPT‐5.1) to forecast whether the combined market value of acquirer and target will increase or decrease, drawing on deal‐, firm‐, and macroeconomic data for large ...
Maximilian Schreiter +2 more
wiley +1 more source
Does the Phillips Curve Lie Down as We Age?
Abstract Using microlevel data, we present evidence that older individuals are less willing to substitute across varieties of goods. We estimate the elasticity of substitution for different age groups and find that the youngest cohort (aged 25–34) exhibits a higher elasticity of substitution compared to the oldest group (65+).
CHADWICK CURTIS +2 more
wiley +1 more source
ABSTRACT Predicting the runtime and cost of Function‐as‐a‐Service (FaaS) applications remains challenging in multi‐cloud environments due to variations in code complexity, workload characteristics, and provider‐specific behaviors. This paper presents an extended version of the Orama Framework that advances runtime prediction toward a multilingual and ...
Leonardo Rebouças de Carvalho +2 more
wiley +1 more source
An Evaluation Framework for Post‐Trained Bookkeeping Language Models
ABSTRACT Supervised fine‐tuning (SFT) enables large language models (LLMs) to acquire domain‐specific knowledge, yet the resulting trade‐off between specialization and general capability preservation remains poorly understood. This paper investigates this trade‐off systematically by fine‐tuning three open‐source LLMs on double‐entry bookkeeping posting
Mario Zupan
wiley +1 more source
ABSTRACT As Large Language Models (LLMs) are increasingly deployed within the systems engineering domain, optimizing these models to balance performance accuracy and cost for given computational resources becomes essential. One process for finding the right balance is quantization, a process that involves converting model parameters from higher ...
Ryan Bell +2 more
wiley +1 more source
MarginPath is a novel vision‐language system that automates breast cancer margin assessment using a single label‐free multiphoton microscopy image. By integrating tumor‐associated collagen signatures with virtual H&E imaging, it generates accurate margin heatmaps and comprehensive diagnostic reports.
Shu Wang +15 more
wiley +1 more source
An exciting Approach to Theoretical Spectroscopy
ABSTRACT Theoretical spectroscopy, and more generally, electronic‐structure theory, are powerful concepts for describing the complex many‐body interactions in materials. They cover methods from ground‐state properties to lattice excitations and light‐matter interaction, including time‐resolved variants.
Martí Raya‐Moreno +29 more
wiley +1 more source
Abstract INTRODUCTION Sleep disturbances are frequent symptoms of Alzheimer's disease (AD), mirrored by early pathology in the dorsal raphe nucleus (DRN). Whether early DRN pathology can drive sleep disturbances, and the relative contributions of serotonin (5‐HT) and sex, has not been directly tested.
Louis J. Kolling +14 more
wiley +1 more source

