Results 151 to 160 of about 7,836,569 (290)

Winning Consumer Trust Through Supply Chain Responsibility Communication: How Certification, Disclosure, and Beneficiary Framing Shape Credibility

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT As stakeholders increasingly demand supply chain transparency, companies face a legitimacy paradox: disclosing supply chain responsibility (SR) information is necessary to meet stakeholder expectations, yet disclosure can invite scrutiny rather than build credibility.
Julia Hartmann
wiley   +1 more source

Conditional Estimations for Seamless Phase II/III Clinical Trials Involving Multi-Stage Early Stopping. [PDF]

Stat Med
Zhu S, Yang Y, Yin M, Luo Y, Liang X, Yu S, Duan C.   +6 more
europepmc   +1 more source

CSR Reporting as Strategic Communication: Financial Reporting Quality and Its Stakeholder Communication Implications

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the relationship between Corporate Social Responsibility (CSR) and Financial Reporting Quality (FRQ) and explores the communication implications of reporting quality improvements. A sequential explanatory mixed‐methods design was employed.
Raziyeh Salehi, Albert Amanollahnejad, Javad Izadi   +2 more
wiley   +1 more source

Genomic prediction in quinoa across contrasting environments using statistical and machine learning models. [PDF]

Plant Genome
Stanschewski CS, Warmington M, Afzal I, Rey E, Fiene G, Craine E, Murphy K, Tester M, Poland J.   +8 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

Transition from Conventional to Genomic Selection (ssGBLUP) led to improve in accuracy gains and selection decisions in Sahiwal Cattle. [PDF]

Sci Rep
Vohra V, Gaur P, Sahana VN, Diwakar V, Patil A, Alex R, Gowane GR, Raja TV.   +7 more
europepmc   +1 more source

Morphological signatures of bacteria‐laden drying droplets: A multimodal analysis across host fluids

Droplet, EarlyView.
Drying patterns of bacteria‐laden droplets encode concentration‐dependent signatures across three host fluids: serum, urine, and nutrient medium. By integrating time‐evolving texture descriptors, image features, and interpretable multimodal machine learning, this study demonstrates a label‐free approach for extracting information on bacterial ...
Anusuya Pal, Amalesh Gope, Piyush Thakur, Gen Honda, Emi Hada, Satoshi Sawai, Miho Yanagisawa   +6 more
wiley   +1 more source

Improving multi-trait genomic prediction using synthetic traits from hyperspectral data based on co-heritability. [PDF]

Theor Appl Genet
Upadhyay A, Azam R, Yuan M, Ivanovic S, Ferguson JN, Paul RE, Koyejo S, El-Kebir M, Lipka AE, Leakey ADB, Fernandes SB.   +10 more
europepmc   +1 more source

Assessing the accuracy and stability of variable importance in species distribution modelling algorithms through sample perturbations

Ecography, EarlyView.
Variable importance derived from species distribution modelling (SDM) is widely used to identify key environmental drivers of species distributions. However, the reliability of these inferences has rarely been systematically evaluated, particularly with respect to their sensitivity to individual occurrences.
He Wu, Zhaoning Wu, Yunzhi Liu, Wenfang Zhang, Jiechen Wang   +4 more
wiley   +1 more source

Inferring genetic values and variances from pre-processed phenotypes. [PDF]

Sci Rep
Gianola D, Ravagnolo O, Schoen CC.
europepmc   +1 more source