Results 181 to 190 of about 87,608 (258)

Neuro-Sliding Control for Underwater ROV's Subject to Unknown Disturbances. [PDF]

Sensors (Basel), 2019
García-Valdovinos LG, Fonseca-Navarro F, Aizpuru-Zinkunegi J, Salgado-Jiménez T, Gómez-Espinosa A, Cruz-Ledesma JA.   +5 more
europepmc   +1 more source

Reconciling Goffman and Disability Studies: “Interactional” and “Structural” Stigma in the Lives of Parents of Learning‐Disabled Adults

Symbolic Interaction, EarlyView.
Erving Goffman cuts a divisive figure in disability studies. Some criticize his conception of “stigma” as deviance‐focused and as ignoring structural forces that shape personal encounters. Others praise his recognition of stigma as an interactional phenomenon.
Gareth M. Thomas
wiley   +1 more source

What Is the Return on Investment of Digital Engineering for Complex Systems Development Schedules? Findings From a Mixed‐Methods Case Study on the Post‐Production Design Change Processes of Navy Assets

Systems Engineering, EarlyView.
ABSTRACT Complex engineered systems routinely face schedule and cost overruns, along with poor post‐deployment performance. Both INCOSE and the U.S. Department of Defense (DoD) have championed Digital Engineering (DE) as a potential remedy, yet most of DE's purported benefits remain anecdotal, and its return on investment (ROI) remains poorly ...
Jannatul Shefa, Taylan G. Topcu
wiley   +1 more source

Reinforcement Learning-Based Tracking Control of USVs in Varying Operational Conditions. [PDF]

Front Robot AI, 2020
Martinsen AB, Lekkas AM, Gros S, Glomsrud JA, Pedersen TA.   +4 more
europepmc   +1 more source

GenAI‐Assisted Digital Multimodal Composing in TESOL Teacher Education

TESOL Quarterly, EarlyView.
Abstract This study explored how pre‐service TESOL teachers integrated GenAI tools into a Digital Multimodal Composing (DMC) project, composing a website, at a Hong Kong university. Specifically, it explored their decision‐making and cognitive engagement in the DMC process when they had autonomy in the use of GenAI tools.
Benjamin Luke Moorhouse, Christoph A. Hafner, Tsz Ying Ho   +2 more
wiley   +1 more source

Research on the dynamic performance and motion control methods of deep-sea human occupied vehicles. [PDF]

Sci Rep
Li D, Zhao Q, He C, Zhang W, Li S, Yang S, Lv X.   +6 more
europepmc   +1 more source

“It's Not Equality, …It's Not Humanizing:” Content‐Area Teachers' Tensions Between CCR Curriculum and Linguistically Responsive Professional Development

TESOL Quarterly, EarlyView.
Abstract This qualitative study explores how secondary content‐area teachers of emergent bilingual (EB) students navigate tensions between linguistically responsive professional development (PD) and the implementation of state‐mandated College and Career Readiness (CCR) curricula in south Texas.
Caryn Calisi, Jerry Romero Jr., Bedrettin Yazan, Jorge Solís, Kristen Lindahl, Michael Cabantac Mauricio, María Leija, Gilberto Lara, Amanda de Oliveira Silva   +8 more
wiley   +1 more source

Integrative Bioinformatics, Experimental Validation, and Interpretable Machine Learning Reveal Oxyresveratrol‐Mediated Protection Against Cadmium‐Induced Lung Adenocarcinoma‐Related Transcriptional Dysregulation

Environmental Toxicology, EarlyView.
ABSTRACT Cadmium (Cd) is a toxic heavy metal strongly implicated in lung adenocarcinoma (LUAD) through mechanisms involving oxidative stress, epigenetic dysregulation, and chronic inflammation. This study aimed to identify Cd‐responsive genes associated with LUAD and to evaluate the protective effects of oxyresveratrol (O‐RES) against Cd‐induced ...
Murat Isıyel, Hamid Ceylan, Yeliz Demir
wiley   +1 more source

Comparative Analysis of Machine Learning Algorithms for Automated Hydrophobicity Classification in Composite Insulators Using Contour Features

High Voltage, EarlyView.
ABSTRACT This study presents a comparative analysis of six machine learning algorithms for automated hydrophobicity classification in composite insulators using contour‐based image features. A robust image‐processing pipeline was developed to extract statistical features from water droplet patterns on insulator surfaces, enabling objective ...
Salihu Salisu, Christos Zachariades, Aliyu Abubakar   +2 more
wiley   +1 more source

TorchRef: an open‐source PyTorch framework for crystallographic refinement

Journal of Applied Crystallography, EarlyView.
TorchRef is an open‐source PyTorch‐based crystallographic refinement framework that exposes all refinable parameters to automatic differentiation, accelerates structure factor evaluation by about two orders of magnitude on a GPU and enables novel workflows such as direct refinement against amplitude differences in time‐resolved crystallography ...
Hans-Peter Seidel, Jörg Standfuss, Tobias Weinert   +2 more
wiley   +1 more source