Results 21 to 30 of about 306 (143)

An exciting Approach to Theoretical Spectroscopy

Advanced Science, EarlyView.
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, Alexander Buccheri, Noah Alexy Dasch, Nasrin Farahani, Ignacio Gonzalez Oliva, Andris Gulans, Seokhyun Hong, Manoar Hossain, Hannah Kleine, Martin Kuban, Sven Lubeck, Benedikt Maurer, Pasquale Pavone, Fabian Peschel, Daria Popova‐Gorelova, Lu Qiao, Elias Richter, Santiago Rigamonti, Ronaldo Rodrigues Pela, Maximilian Schebek, Kshitij Sinha, Daniel T. Speckhard, Jan Stutz, Sebastian Tillack, Dmitry Tumakov, Jānis Užulis, Mara Voiculescu, Cecilia Vona, Mao Yang, Claudia Draxl   +29 more
wiley   +1 more source

Changes of CEA Diagnostic Performance Under the New Reference Interval Stratified by Age and Sex

Journal of Clinical Laboratory Analysis, EarlyView.
Our study included patients with lung cancer, breast cancer, and colorectal cancer and apparently healthy individuals, conducted a large case–control study to assess the effects of age and sex on serum concentrations and positive rates of CEA, established age‐ and sex‐stratified reference intervals using indirect methods.
Ke Zhang, Xiarui Ye
wiley   +1 more source

Margin Status and Local Recurrence in Early‐Stage Oral‐Cavity Squamous Cell Carcinoma: Analysis of Reresection Outcomes

Otolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective To assess the impact of surgical margin status and re‐resection on local recurrence (LR) in early‐stage oral cavity squamous cell carcinoma (OCSCC). Study Design Retrospective analysis of 352 patients with cT1‐2N0 OCSCC. Setting Tertiary care center from 2005 to 2024.
Hannah J. Brown, Naomi C. Wang, Rahul Alapati, Uma Ramesh, Ameen M. Amanian, Andrés M. Bur   +5 more
wiley   +1 more source

A Large Language Model‐Based Approach for Fault Detection and Its Application

Safety Science and Technology, EarlyView.
This work proposes an interpretable fault detection framework utilizing pre‐trained large language models to overcome small sample sizes and label scarcity in industrial datasets. A stepwise tuple‐based validation mitigates hallucinations, ensuring reliable detection.
Yihua Ye, Yin Zhu, Liming Che, Hua Zhou
wiley   +1 more source

Balancing Accuracy and Cost: Trade‐Offs in Large Language Model Quantization for the Systems Engineering Domain

Systems Engineering, EarlyView.
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, Raymond Madachy, Ryan Longshore   +2 more
wiley   +1 more source

Baselining Large Language Model Performance in Systems Engineering Using SysEngBench

Systems Engineering, EarlyView.
ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell, Ryan Longshore, Raymond Madachy, Ashlyn Hanrahan   +3 more
wiley   +1 more source

TriCrackNet: Trilateral Segmentation Network for Real‐Time Crack Segmentation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT To achieve high‐precision real‐time crack segmentation, we propose TriCrackNet, an efficient network based on a tri‐branch collaborative architecture incorporating boundary constraints, semantic parsing, and spatial refinement. In the semantic branch, efficient atrous spatial pyramid pooling (EASPP) is integrated.
Haixin Jia, Han Wang, Xiaoqiang Shi, Guoying Zhang, Hanqi Jiang, Jianbo Peng   +5 more
wiley   +1 more source

Torpor‐assisted migration: Regular use of shallow torpor reduces rest‐phase energy expenditure for songbirds during migration

Journal of Animal Ecology, EarlyView.
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, Lily Hou, Liam P. McGuire   +2 more
wiley   +1 more source

From Regression to Reasoning: Predicting M&A Announcement Returns With Large Language Models

European Financial Management, EarlyView.
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, Aldrik Struve, Maximilian Uhle   +2 more
wiley   +1 more source

Does the Phillips Curve Lie Down as We Age?

Journal of Money, Credit and Banking, EarlyView.
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, JULIO GARÍN, ROBERT LESTER   +2 more
wiley   +1 more source