Results 221 to 230 of about 12,484 (262)

Reflective Pathways: Integrating Empathy Into the STEM Student Experiences

Future in Educational Research, EarlyView.
ABSTRACT The growing demand for a globally competent STEM workforce showcases the importance of embedding empathy into undergraduate education. As a core dimension of global competence, empathy enables individuals to engage diverse perspectives and navigate collaborative challenges.
Aparajita Jaiswal, Nathan S. Bitner, Gaurav Nanda, Muna Sapkota   +3 more
wiley   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

Greenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira, Beatriz R. Almeida, Thiago R. C. Justino, Carlos A. S. Santos, Alex A. Santos, Fabiana Philipi   +5 more
wiley   +1 more source

Toward a Typology of Patients With Head and Neck Cancer: Biopsychosocial Profiles Predicting Longitudinal Quality of Life

Head &Neck, EarlyView.
ABSTRACT Background Quality of life (QoL) in head and neck cancer (HNC) is influenced by complex biopsychosocial factors, yet few longitudinal studies have examined these relationships immediately post‐treatment. Methods In this prospective study, 232 patients newly diagnosed with primary HNC completed psychometric assessments, clinical interviews, and
Haley Deamond, Cyril Devault‐Tousignant, Jacob Lang, Christopher Lo, Jennifer Silver, Nader Sadeghi, Zeev Rosberger, Saul Frenkiel, Michael Hier, Anthony Zeitouni, Karen Kost, Alex Mlynarek, Keith Richardson, Gabrielle Chartier, Marco Mascarella, Khalil Sultanem, Georges Shenouda, Fabio Cury, Melissa Henry   +18 more
wiley   +1 more source

Looking Back and Looking Forward: Thirty Years of Evidence on Strategic HRM Systems and Performance (1995–2025)

Human Resource Management, EarlyView.
ABSTRACT Research on how to leverage high‐performance work systems (HPWS) and other strategic human resource management (HRM) systems to improve performance outcomes has long been a cornerstone of the HRM discipline. This study offers a comprehensive mapping of the field through bibliometric analysis and a thematic synthesis of 3503 peer‐reviewed ...
Xiaoxuan Zhai, Cherrie Jiuhua Zhu, Mingqiong Mike Zhang   +2 more
wiley   +1 more source

Technological Evolution in Fintech: A Decadal Scientometric and Systematic Review of Developments and Criticisms

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley   +1 more source

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Unsupervised Domain Adaptation via Domain-Adaptive Diffusion

IEEE Transactions on Image Processing
Unsupervised Domain Adaptation (UDA) is quite challenging due to the large distribution discrepancy between the source domain and the target domain. Inspired by diffusion models which have strong capability to gradually convert data distributions across a large gap, we consider to explore the diffusion technique to handle the challenging UDA task ...
Duo Peng, Qiuhong Ke, ArulMurugan Ambikapathi, Yasin Yazici, Yinjie Lei, Jun Liu   +5 more
openaire   +2 more sources

Unsupervised Multi-Task Domain Adaptation

2020 25th International Conference on Pattern Recognition (ICPR), 2021
With abundant labeled data, deep convolutional neural networks have shown great success in various image recognition tasks. However, these models are often less powerful when applied to novel datasets due to a phenomenon known as domain shift. Unsupervised domain adaptation methods aim to address this problem, allowing deep models trained on the ...
Shih-Min Yang, Mei-Chen Yeh
openaire   +1 more source

Unsupervised double weighted domain adaptation

Neural Computing and Applications, 2020
Domain adaptation can effectively transfer knowledge between domains with different distributions. Most existing methods use distribution alignment to mitigate the domain shift. But they typically align the marginal and conditional distributions with equal weights. This neglects the relative importance of different distribution alignments.
Jingyao Li, Zhanshan Li, Shuai Lü
openaire   +1 more source

On Online Unsupervised Domain Adaptation

2023
Recent advances in Artificial Intelligence (AI) have been markedly accelerated by the convergence of advances in Machine Learning (ML) and the exponential growth in computational power. Within this dynamic landscape, the concept of Domain Adaptation (DA) is dedicated to the seamless transference of knowledge across domains characterized by disparate ...
openaire   +1 more source