Results 231 to 240 of about 1,337,761 (305)

The Influence of Ethical Ideologies on Corporate Social Performance in Small and Medium‐Sized Enterprises in the United Kingdom

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Research addressing the microfoundations of corporate social performance (CSP) in small and medium‐sized enterprises (SMEs) remains sparse. This paper aims to investigate how SME managers' ethical ideology affects CSP and examines the mediating role of their CSR orientation (CSRO): economic, legal, ethical, and philanthropic.
Sarah Mohammad Suleiman Alsyoof, Vasa László, Tamás Sneider   +2 more
wiley   +1 more source

Chatbot Voting Advice Applications inform but seldom sway young unaligned voters. [PDF]

Proc Natl Acad Sci U S A
Velez YR, Green DP, Sevi S.
europepmc   +1 more source

EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes

Droplet, EarlyView.
We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang, Srikar Arani, Nishant Sai Nuthalapati, Youngjoon Suh, Nicholas Choi, Siavash Khodakarami, Md Rakibul Hasan Roni, Nenad Miljkovic, Aparna Chandramowlishwaran, Yoonjin Won   +9 more
wiley   +1 more source

Cryptoglandular Anal Fistula Core Outcome Measurement Set (AFCOMS): standardised definitions and measurement instruments. [PDF]

EClinicalMedicine
Tabakovic N, Joshi S, Kimman M, Mitalas L, Iqbal N, Tozer P, Breukink S, AFCOMS Consensus Meeting Collaborators.   +7 more
europepmc   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Physical partisan proximity outweighs online ties in predicting US voting outcomes. [PDF]

PNAS Nexus
Tonin M, Lepri B, Tizzoni M.
europepmc   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Malnutrition and female political representation in India. [PDF]

PLoS One
Tyagi P, LeMay-Boucher P.
europepmc   +1 more source

Co‐Producing the Transition to Eating Disorder Youth Intervention: Experience‐Based Co‐Design Workshops Supporting Young People in Transition

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Eating disorders (EDs) are severe and complex psychiatric illnesses, with adolescence and young adulthood representing particularly vulnerable periods for onset, relapse and disruptions in treatment. The transition from Child and Adolescent Mental Health Services (CAMHS) to Adult Mental Health Services (AMHS) is especially complex ...
Maria Livanou, Marta Marlais, Charlotte Burton, Nora Kornai, Anna Bromley, Pareena Dutt, Jiarui Li, Tiffany Luxford, Francesca Marshall, Maria Georgia Dioletta, Molly Henson, Jun Teh, Emily Nuttall, Ashish Kumar, Kevin Christian, Carolyn Hatton, Zara Smalley, Grace Hill, Anya Heneghan, Kat Novogrudsky   +19 more
wiley   +1 more source

Bioinspired Crossmodal Tactile Sensory Nerve for High‐Accurate Object Recognition

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
An artificial crossmodal sensory neuron system (ACSNS) that combines a complementary memristor with high‐sensitivity pressure–temperature bimodal sensors, which integrate tactile perception, information storage, and neuromorphic computing. With the aid of machine learning, this ACSNS presents an improved accuracy of 96.67% in recognizing temperatures ...
Delu Chen, Yuetong Han, Xiaodong Wang, Wanli Cheng, Jianjie He, Xing Li, Yoshifumi Oshima, Chongxin Shan, Shaobo Cheng   +8 more
wiley   +1 more source