Results 111 to 120 of about 10,032,701 (265)

Readability of German Sustainability Reports: The Role of ESG Performance and Audit Committee Characteristics

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This paper examines whether firms' environmental, social and governance (ESG) performance and audit committee (AC) characteristics—size, number of meetings, attendance rate at meetings, and gender diversity—are associated with the readability of sustainability reports.
Julian Kordisch, Reiner Quick
wiley   +1 more source

Citizen Science Gamers Enable Automated Flow Cytometry Gating Through Machine Learning

Cytometry Part A, EarlyView.
ABSTRACT Machine learning can greatly accelerate biomedical research but is fundamentally constrained by the scarcity of high‐quality labeled data. We introduce a scalable data‐generation framework based on citizen science and apply it to automated flow cytometry gating, a foundational but subjective step in immunology that limits reproducibility ...
Sebastiano Montante, Daniel Yokosawa, Leon Li, Alexander Butyaev, Mehrnoush Malek, Razzi Movassaghi, Quentin Michalchuk, Chieh‐Ting Jimmy Hsu, David Shmil, Albina Rahim, Andrea Cossarizza, Julia Boira Esteban, Kornél Erhart, Bergur Finnbogason, George Kelion, Hjalti Leifsson, Josh Rivers, David Ecker, Attila Szantner, Jérôme Waldispühl, Ryan R. Brinkman   +20 more
wiley   +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

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

Uncertainty under a multivariate nested-error regression model with logarithmic transformation [PDF]

, 2006
Assuming a multivariate linear regression model with one random factor, we consider the parameters defined as exponentials of mixed effects, i.e., linear combinations of fixed and random effects.
Molina, Isabel
core   +1 more source

An empirical Bayes derivation of best linear unbiased predictors

, 2002
Let (Y1,θ1),…,(Yn,θn) be independent real-valued random vectors with Yi, given θi, is distributed according to a distribution depending only on θi for i=1,…,n. In this paper, best linear unbiased predictors (BLUPs) of the θi's are investigated.
Rohana J. Karunamuni
core   +1 more source

Generative Models in Inorganic Crystals Discovery and Inverse Design

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li, Xiaolin Liu, Fei Wang, Yan Xiong, Yu Chen, Yan Zhao   +5 more
wiley   +1 more source

Application of Small Area Estimation for Estimation of Sub-District Level Poverty in Bengkulu Province: Comparison of Empirical Best Linear Unbiased Prediction (EBLUP) and Hierarchical Bayesian (HB) Methods

Journal of Statistics and Data Science
Poverty is an important problem facing the world. Various ways are done to eradicate poverty. In planning poverty alleviation, policy makers need detailed information down to the smallest area level that can be produced. Currently, the demand for estimation at the small area level is increasing, while the success of estimation using the indirect method
openaire   +1 more source

The difficult discussion on the deactivation of implantable cardioverter devices at the end of life: a systematic review

ESC Heart Failure, Volume 12, Issue 2, Page 733-760, April 2025.
Abstract Implantable cardioverter defibrillators (ICDs) reliably prevent death due to life‐threatening arrhythmias; this may become less relevant in people with more severe heart failure who are reaching the end of life (EOL). This review aimed to explore the ICD deactivation process and identify ethical issues, especially around the initiation of ...
Siobhan C. Murray, Claire McNamara, Anna V. Chatzi   +2 more
wiley   +1 more source

ASSESSING UNEMPLOYMENT RATES IN TANAH DATAR REGENCY: INSIGHTS FROM SMALL AREA ESTIMATION

Barekeng
Unemployment is a significant issue in Indonesia's labor market. The unemployment rate is measured by the Open Unemployment Rate (OUR) through the National Labor Force Survey (SAKERNAS) conducted by BPS.
Rara Sandhy Winanda, Yasyfin Ikrima Khairani, Fajar Wisga Permana   +2 more
doaj   +1 more source