Results 151 to 160 of about 52,803 (214)

Personalized Model‐Driven Interventions for Decisions From Experience

Topics in Cognitive Science, EarlyView.
Abstract Cognitive models that represent individuals provide many benefits for understanding the full range of human behavior. One way in which individual differences emerge is through differences in knowledge. In dynamic situations, where decisions are made from experience, models built upon a theory of experiential choice (instance‐based learning ...
Edward A. Cranford, Christian Lebiere, Cleotilde Gonzalez, Palvi Aggarwal, Sterling Somers, Konstantinos Mitsopoulos, Milind Tambe   +6 more
wiley   +1 more source

Artificial intelligence in blood donor management: A narrative review

Vox Sanguinis, EarlyView.
Abstract Blood transfusions are vital in health care, yet maintaining an adequate and safe blood supply remains a significant challenge. To address blood donation–associated challenges, this review explores how integrating artificial intelligence (AI) technologies can improve donor recruitment, retention and management.
Maha A. Badawi
wiley   +1 more source

Futures of Everyday Life: A Qualitative Content Analysis of Future Personas in Scenarios

FUTURES &FORESIGHT SCIENCE, Volume 8, Issue 1, April 2026.
ABSTRACT Scenario reports, holding a long‐standing tradition in foresight and futures studies, act as an essential document for organizations to prepare for possible, plausible, and alternative futures. Focusing on descriptions and representations of everyday life, we examined 29 future persona narratives from six publications—covering a wide field ...
Gerhard Schönhofer, Pauli Komonen, Jan Oliver Schwarz, Laura Bechthold   +3 more
wiley   +1 more source

An Overview of Deep Learning Techniques for Big Data IoT Applications

International Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur, Vipin Balyan, Sindhu Hak Gupta   +2 more
wiley   +1 more source

Smart Contracts and SME Resilience: Business Model Adaptation and International Considerations

Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration, Volume 43, Issue 1, March 2026.
ABSTRACT Smart contracts (SCs), appended to a blockchain, protect digital environments and their resources, processes and structures, reducing mismatches between legal and actual rights and ownership. They enhance digital resilience by improving transparency, traceability and trust in digital transactions.
Araz Zirar, Abdul Jabbar, Hannan Amoozad Mahdiraji   +2 more
wiley   +1 more source

An Experimental Exploration of Cognitive Workload and Situational Awareness in Virtual Reality: Implications for Non‐Clinical Emotional Support

International Journal of Methods in Psychiatric Research, Volume 35, Issue 1, March 2026.
ABSTRACT Objectives Many people face emotional challenges without meeting the criteria for clinical mental disorders. Virtual Reality (VR) has become popular in psychotherapy due to accessibility, but it can sometimes increase cognitive workload (CWL) and decrease situational awareness (SA).
Fabiha Islam, Zipporah Bright, Liang Zhan, Chao Shi   +3 more
wiley   +1 more source

Fail‐Controlled Classifiers: A Swiss‐Army Knife Toward Trustworthy Systems

Software: Practice and Experience, Volume 56, Issue 3, Page 239-259, March 2026.
ABSTRACT Background Modern critical systems often require to take decisions and classify data and scenarios autonomously without having detrimental effects on people, infrastructures or the environment, ensuring desired dependability attributes. Researchers typically strive to craft classifiers with perfect accuracy, which should be always correct and ...
Fahad Ahmed Khokhar, Tommaso Zoppi, Andrea Ceccarelli, Leonardo Montecchi, Andrea Bondavalli   +4 more
wiley   +1 more source

Geopolitical Risk and Food Inflation

Thunderbird International Business Review, Volume 68, Issue 2, Page 165-176, March/April 2026.
ABSTRACT This study investigates the complex relationship between geopolitical risk and food inflation, a critical issue for global food security. Using panel data from 177 countries from 2019 to 2021, the research employs a random effects estimation model to analyze the dynamic.
Izaete Leite Nogueira, Ana Cláudia de Araujo Moxotó, Aristides da Rocha Oliveira Junior   +2 more
wiley   +1 more source

Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
Three key parts of our review. This review examines recent research on integrating machine learning with edge computing in healthcare. It is structured around three key parts: the demographic characteristics of the selected studies; the themes, tools, motivations, and data sources; and the key limitations, challenges, and future research directions ...
Amir Mashmool, Giorgio Delzanno, Hamid Saadatfar, Aakash Ahmad, Rainer Koschke, Roohallah Alizadehsani, U. Rajendra Acharya, Daniele D'Agostino   +7 more
wiley   +1 more source

Explaining Varied Responses to Creeping Crises: Government Action on Antimicrobial Resistance in Europe

Journal of Contingencies and Crisis Management, Volume 34, Issue 1, March 2026.
ABSTRACT Contemporary societies face slow‐burning crises – such as antimicrobial resistance (AMR) – that demand sustained responses from national governments but often elicit uneven action. Policy implementation, public health, and creeping crisis literatures have each proposed factors to explain why governments vary in their responses.
Nicholas Olczak, Mark Rhinard
wiley   +1 more source