Results 81 to 90 of about 551 (165)

Commercial Value Creation Across Live‐Streaming Shopping, Entertainment and Tourism: An ADO–TCM Systematic Review and Practitioner Perspectives

International Journal of Consumer Studies, Volume 50, Issue 6, November 2026.
ABSTRACT Live‐streaming has emerged as a significant channel for commercial value creation; however, research on live‐streaming in shopping, entertainment and tourism has largely developed in isolation, resulting in an insufficient understanding of the cross‐domain similarities and differences in value‐creation mechanisms.
Yanzhe Yuan, Jiraporn Surachartkumtonkun, Wei Shao, Haroon Iqbal Maseeh, Yaning Zhang, Tianyuan Feng   +5 more
wiley   +1 more source

Streamlining Diagnosis of Bardet–Biedl Syndrome: New Diagnostic Algorithm With Updated Criteria

American Journal of Medical Genetics Part A, Volume 200, Issue 10, Page 2181-2198, October 2026.
ABSTRACT Considerable advances have been made in our understanding of Bardet–Biedl syndrome (BBS), particularly in its core clinical features and molecular genetics, warranting an update to the existing diagnostic criteria framework. Using a rigorous, evidence‐based, and consensus‐driven process, a multidisciplinary group of international experts and ...
Jeremy J. Pomeroy, Jesse Richards, Brooke R. Sweeney, Seema Kumar, Katie E. Queen, Joshua Zaritsky, Carl H. Cramer, Elias I. Traboulsi, Brittni A. Scruggs, Erica E. Davis, Ekaterina Keifer, Emma McGibbon, Timothy Ogden, Bendert De Graaf, Tonia Hymers, Elizabeth Forsythe, Philip Beales   +16 more
wiley   +1 more source

SBOM Tooling Ecosystem: A Systematic Literature Review

Applied Research, Volume 5, Issue 5, October 2026.
This systematic review shows that no single SBOM generation method consistently delivers accurate and complete results across software ecosystems. Hybrid, ecosystem‐aware approaches—supported by improved metadata, runtime context, and developer usability—offer the strongest direction for trustworthy software supply‐chain transparency.
Mohd Nizam Mohd. Mydin, Delina Mei Yin Beh, Shafiza Mohd. Shariff   +2 more
wiley   +1 more source

Exploring Sign Language Dataset Augmentation with Generative Artificial Intelligence Videos: A Case Study Using Adobe Firefly-Generated American Sign Language Data

Information
Currently, high quality datasets focused on Sign Language Recognition are either private, proprietary or difficult to obtain due to costs. Therefore, we aim to mitigate this problem by augmenting a publicly available dataset with artificially generated ...
Valentin Bercaru, Nirvana Popescu
doaj   +1 more source

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

International Journal of Finance &Economics, Volume 31, Issue 4, Page 5038-5065, October 2026.
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

Seasonal and Spatial Variability of Silicon Cycle in Godavari Tidal River Zone

Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 10, October 2026.
Abstract Dam regulation of tropical monsoonal rivers enhances seasonal contrasts in the tidal river zone (TRZ) hydrology, altering the delivery of dissolved silicon (DSi) to the coastal ocean. Here, we identify the drivers of Si cycling in the Godavari TRZ and quantify their implications for Si delivery to the Bay of Bengal (BoB). We analyzed elemental
Sarath Pullyottum Kavil, Jean Riotte, Ramananda Chakrabarti, V. V. S. S. Sarma, Arnaud Dapoigny, Gilles Reverdin, Damien Cardinal   +6 more
wiley   +1 more source

Developing Predictive and Explainable Models for Cryptocurrency Delistings: A Case Study of Binance Exchange

Asia-Pacific Journal of Financial Studies, Volume 55, Issue 5, Page 635-670, October 2026.
Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley   +1 more source

Detecting signal transtition in dynamic sign language using R-GB LSTM method

IJAIN (International Journal of Advances in Intelligent Informatics)
Sign Language Recognition (SLR) helps deaf people communicate with normal people. However, SLR still has difficulty detecting dynamic movements of connected sign language, which reduces the accuracy of detection.
Ridwang Ridwang, Adriani Adriani, Rahmania rahmania, Mus’ab Sahrim, Asep Indra Syahyadi, Haris Setiaji   +5 more
doaj   +1 more source

Stretch‐Induced Muscle Responses Under Threat Versus Safety

European Journal of Neuroscience, Volume 64, Issue 7, October 2026.
We investigated muscular stretch reflexes under threat of shock and in safe conditions. We found that EMG activity from 100 ms after perturbation was modulated by stress in a task‐specific (and not task‐general) way. ABSTRACT When in a stressful situation, making fast and accurate decisions is crucial.
Yvonne F. Visser, Bob Bramson, W. Pieter Medendorp, Karin Roelofs, Luc P. J. Selen   +4 more
wiley   +1 more source

Hand-aware graph convolution network for skeleton-based sign language recognition

Journal of Information and Intelligence
Skeleton-based sign language recognition (SLR) is a challenging research area mainly due to the fast and complex hand movement. Currently, graph convolution networks (GCNs) have been employed in skeleton-based SLR and achieved remarkable performance ...
Juan Song, Huixuechun Wang, Jianan Li, Jian Zheng, Zhifu Zhao, Qingshan Li   +5 more
doaj   +1 more source