Results 121 to 130 of about 52,163 (250)

ESG Disclosure Quality as Organizational Information Processing: Comparing Human Coding, Rule‐Based Automation, and LLM Semantic Scoring

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines how different scoring architectures evaluate the same ESG disclosure text and produce different ESG disclosure‐quality scores. Using sustainability‐related reports published by Korean listed firms during 2020–2021, the study compares three approaches: Human‐ESG based on a structured nine‐item disclosure‐quality rubric, Rule‐
Jaehyun Park
wiley   +1 more source

A lightweight hybrid attention network with multi-scale feature integration for intelligent recognition of underwater acoustic targets. [PDF]

Sci Rep
Mahmud NA, Zhang T, Iqbal Y, Sumona FB, Iqbal A, Geng Y, Khan W, Zneid BA, Zaitsev I.   +8 more
europepmc   +1 more source

On the defence of responsible human judgement in peer review

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Peer review is essential for scientific progress. When it works well, it combines expertise, fairness, proportionality, skepticism, generosity, and discretion. When it fails, it becomes a theatre for egotistical display, laziness, coercion, and, lately, reliance on artificial intelligence tools. Editors, reviewers, and authors must join forces
João B. P. Soares, Thomas A. Adams II
wiley   +1 more source

Captivated by Kinesin

Cytoskeleton, EarlyView.
ABSTRACT Few proteins have inspired as much curiosity as kinesin. Since its discovery 40 years ago, kinesin has become one of the best understood molecular machines in biology, yet it continues to reveal new questions about how cells organize and move their contents.
Ronald D. Vale
wiley   +1 more source

Radiographic Angle-Based Machine Learning Models for the Diagnosis of Pes Planus and Pes Cavus: A Large-Scale Study Using Weight-Bearing Lateral Foot Radiographs. [PDF]

Diagnostics (Basel)
Taşdemir R, Işık M, İnce AH, Poyraz ES, Baysal Ş, Parıldar R, Gönder N.   +6 more
europepmc   +1 more source

A Geometric Characterization of Steady Laminar Flow

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We study the steady states of the Euler equations on the periodic channel or annulus. We show that if these flows are laminar (layered by closed non‐contractible streamlines which foliate the domain), then they must be either parallel or circular flows.
Theodore D. Drivas, Marc Nualart
wiley   +1 more source

Nurr1 deficiency orchestrates a coupled liver-gut pathological axis revealed by multi-omics and deep-learning histopathology. [PDF]

Front Immunol
Faisal S, Ullah I, Kambey PA, Malik A, Ejaz MA, Shah SA, Li YX.   +6 more
europepmc   +1 more source

Automated B‐cell and plasma cell identification using unsupervised clustering by FlowSOM and an excel‐based classification model

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Manual gating for plasma cell (PC) identification in multiparametric flow cytometry (MFC) is time‐consuming and operator‐dependent, especially when PCs are scarce. Artificial intelligence approaches such as unsupervised clustering (e.g., FlowSOM) map high‐dimensional data that still require expert interpretation.
Ethan James Gantana, Ernest Musekwa, Erica‐Mari Nell, Zivanai Cuthbert Chapanduka   +3 more
wiley   +1 more source

Single-model deep learning approach for simultaneous cervical vertebral maturation staging and skeletal jaw relationship on lateral cephalograms using YOLOv8 and CNN. [PDF]

BMC Oral Health
Alotaibi NM, Kamel AM, Khalil AT, Hammad SM.   +3 more
europepmc   +1 more source

Self‐Reported Versus Objectively Logged Social Media Use: Implications for Measurement in Eating Disorder Research

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Self‐reported frequency measures of social media use (e.g., “How often do you use social media?”) are convenient, yet their criterion validity against objective behavioral data remains largely untested in eating disorder research. We compared self‐reports of TikTok use with objective data extracted from TikTok datafiles.
Scott Griffiths, Emma Halliwell, Harish Kannan, Ben Stone, Wesley Grey, Noa Brittain, Eden Shaveet, Emily Harris   +7 more
wiley   +1 more source