Results 121 to 130 of about 74,238 (256)

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Seroprevalence of anti-SARS-CoV-2 IgM and IgG and COVID-19 vaccine uptake in healthy volunteers in Nairobi, Kenya: a cross-sectional study

Frontiers in Virology
IntroductionSeroprevalence of anti-severe acute respiratory syndrome coronavirus 2 (anti-SARS-CoV-2) antibodies in the postvaccination period in Kenya remains to be elucidated.
Agnes Muhonja Otindo, Eric M. Ndombi, Martin Theuri, Margaret Muturi, Peris Thamaini, James Ogutu, Lister Onsongo, June K. Madete, Victor Ofula, Samuel Gitau, Gladys Mwangi, Paul Okemo   +11 more
doaj   +1 more source

Self‐Sensing Artificial‐Muscle‐Empowered Humanlike Perception, Interaction, and Positioning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The proposed self‐sensorized artificial muscle (SSAM) can sense its length change as small as 0.01 mm via a seamlessly integrated multi‐segment induction coil. The SSAM provides accurate length information regardless of its loadings, driving pressure, or muscle design, adequate for robust data‐driven feedback control.
Houping Wu, Chenchen Li, Yufeng Wang, Zhengyan Wang, Yulian Peng, Zhipeng Wei, Hongbo Wang   +6 more
wiley   +1 more source

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

Advanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad, Hannah Mann, Lubna Najm, Shadman Khan, Carlos D. M. Filipe, Tohid F. Didar   +5 more
wiley   +1 more source

From Instruction to Inheritance: Scaling Robot Learning Through Knowledge Circulation

Advanced Intelligent Systems, EarlyView.
Robot learning moves from one‐way instruction toward knowledge circulation. Humans teach robots, robots teach one another, and robots share acquired skills with humans. This perspective connects teaching, embodiment, and learning architectures to explore how knowledge is inherited, adapted, and enriched across agents, opening a path toward scalable ...
Kento Kawaharazuka, Shunki Itadera, Kohei Honda, Takato Horii, Asako Kanezaki, Taisuke Kobayashi, Kenji Koide, Shuhei Kurita, Koshi Makihara, Kazuki Miyazawa, Masaki Murooka, Yuki Onishi, Satoshi Yagi, Satoshi Yamamori   +13 more
wiley   +1 more source

FACTORS AFFECTING NURSING STUDENTS’ HESITANCY TO SPEAK ENGLISH: A STUDY AT UNIVERSITAS PELITA HARAPAN

English Review: Journal of English Education
Proficiency in spoken English is commonly seen as avital aspect of language learning. Regrettably, a significant portion of ESP learners exhibit reluctance to engage in oral communication inside the language learning classroom, which can be attributed to
Santa Maya Pramusita, Komilie Situmorang, Bima Adi Saputra   +2 more
doaj   +1 more source

How Organizations Learn and Innovate to Institutionalize Generative AI: Trust, Feedback Loops, and Cultural Friction

AI &Innovation, EarlyView.
ABSTRACT This study examines how organizations advance in their use of Generative AI (GenAI) tools after initial adoption with particular attention to the dynamics of trust, cultural resistance, and feedback mechanisms. Grounded in organizational learning theory and institutional theory, we propose a framework that captures the factors influencing how ...
Surajit Bag, Gautam Srivastava, Santosh Kumar Shrivastav, Daniel Rees   +3 more
wiley   +1 more source

Choice experiments on land managers' participation in environmental programs: A systematic review and meta‐analysis of estimate validity

American Journal of Agricultural Economics, EarlyView.
Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva, Angel Perni, Jesus Barreiro‐Hurle   +2 more
wiley   +1 more source

Improving access to new technologies: An experiment with Kenyan input sellers

American Journal of Agricultural Economics, EarlyView.
Abstract Agrodealers play a critical role in rural economies, selling essential inputs for agricultural production, stocking new products, and providing farmers with technical advice. However, uncertainty can discourage them from stocking newer, less familiar products, limiting the availability of innovative technologies and leading to market failures ...
Sarah W. Kariuki, Francisca N. Muteti, Annemie Maertens, Michael Ndegwa, Hope Michelson, Mercy Mbugua, Jason Donovan   +6 more
wiley   +1 more source

The role of age, sex, and ethnicity in vaccine trust, and sources of information in Canada: Findings from a national survey

Human Vaccines & Immunotherapeutics
Vaccine confidence plays a critical role in public health. Understanding demographic differences in trust and sources of vaccine information is essential for designing equitable communication strategies. We analyzed nationally representative summary data
Anh Pham, Muhammad H. Tiwana, Julia Smith   +2 more
doaj   +1 more source