Results 61 to 70 of about 4,729 (197)

Comparison of Three Sympatric Desert Lizards: Digestive Tract Structure, Digestive Enzyme Activities, Gut Microbiota, and Metabolites

Integrative Zoology, EarlyView.
We performed 16S rDNA sequencing and metabolite profiling for three sympatric lizard species—Teratoscincus roborowskii, Phrynocephalus axillaris, and Eremias roborowskii—and compared their goblet cell and enzyme activities in the digestive tract. Our study suggests that the dietary niche may promote divergence or convergence of microbiota across host ...
Yi Yang, Ziyi Wang, Ruichen Wu
wiley   +1 more source

Study of the Artificial Fish Swarm Algorithm for Hybrid Clustering [PDF]

International Journal Bioautomation, 2015
The basic Artificial Fish Swarm (AFS) Algorithm is a new type of an heuristic swarm intelligence algorithm, but it is difficult to optimize to get high precision due to the randomness of the artificial fish behavior, which belongs to the intelligence ...
Hongwei Zhao, Liwei Tian
doaj  

Tradeoff between compression ratio and decoding delay of distributed source coding for uplink transmissions in machine-type communication

International Journal of Distributed Sensor Networks, 2018
Rapid growth of machine-type communications devices challenges the future network with a significant aggregated data traffic. Distributed source coding is a promising technique that compresses data sources and decreases required aggregated data ...
Wen Wang, Jinkang Zhu, Sihai Zhang, Wuyang Zhou   +3 more
doaj   +1 more source

Global Variation in Timing of Allergenic Food Introduction for Food Allergy Prevention: An International Survey of Healthcare Professionals

Allergy, EarlyView.
This study examines the current state of food allergy prevention guideline implementation worldwide, identifying key variables that may explain the observed global variation. Among 731 healthcare professionals across 80 countries, geography and clinical specialty independently drove allergenic food introduction practices, creating an 8.5‐month practice
Agnes Sze‐yin Leung, Elizabeth Huiwen Tham, Kiwako Yamamoto‐Hanada, Derek K. Chu, Matthew Norris, Daria Levina, Daniel Munblit, Lamia Dahdah, Luciana Kase Tanno, Carmen Riggioni, Elsy M. Navarrete‐Rodriguez, Michael E. Levin, Thulja Trikamjee, William Guo, Chun Tong Lei, Chun Pong Lau, Supinda Bunyavanich, Nikolaos G. Papadopoulos, Adnan Custovic, Christina West, Gary Wing‐kin Wong   +20 more
wiley   +1 more source

A Comparative Analysis of K – Means And K – Medoids for Smartphone Clustering

Jurnal Sisfokom
The rapid growth of the smartphone industry has increased market complexity, making objective segmentation more challenging. The objective of this study is to conduct a comparative evaluation of the K - Means and K - Medoids methods in grouping ...
M. Arif Fadillah, Kurniabudi Kurniabudi, Dodo Zaenal Abidin   +2 more
doaj   +1 more source

Adaptive Sampling for BRDF Acquisition

Computer Graphics Forum, EarlyView.
We propose a data‐driven adaptive sampling strategy that predicts the optimal sampling pattern and count for BRDF acquisition from a single image, reducing capture time while preserving quality. Abstract The bidirectional reflectance distribution function (BRDF) describes the ratio of incoming radiance to outgoing radiance for all possible pairs of ...
Behnaz Kavoosighafi, Saghi Hajisharif, Jonas Unger, Ehsan Miandji   +3 more
wiley   +1 more source

K-Medoid Clustering for Heterogeneous DataSets

Procedia Computer Science, 2015
AbstractRecent years have explored various clustering strategies to partition datasets comprising of heterogeneous domains or types such as categorical, numerical and binary. Clustering algorithms seek to identify homogeneous groups of objects based on the values of their attributes.
Harikumar, Sandhya, PV, Surya
openaire   +1 more source

Bridging the implementation gap in MCABC inventory management: from a taxonomy to practical archetypes

International Transactions in Operational Research, EarlyView.
Abstract Despite increasing demands for resilient and sustainable supply chains, inventory management often relies on outdated single‐criterion analyses. While multi‐criteria ABC (MCABC) analyses provide a theoretically mature assessment of resilience‐sustainability‐benefit trade‐offs in inventory, their adoption remains limited due to fragmented ...
Lukas Grützner, Michael H. Breitner
wiley   +1 more source

Use of Conventional Artificial Intelligence Methods in the Identification of Frailty: A Scoping Review

Journal of the American Geriatrics Society, EarlyView.
ABSTRACT Background Early identification and management of frailty are crucial, yet its detection in early stages remains difficult for clinicians. Artificial intelligence (AI) has emerged as a promising tool in healthcare. However, the absence of a standard frailty definition and diversity of AI methods create a need for a comprehensive review.
Kunal Ashok Dalsania, Alixe Ménard, Shruthi Sundararaman, Arya Rahgozar, Sarah de Lima, Xintong Lu, Aya Al‐Ali, Krishnpriya Singh, Ramtin Hakimjavadi, Hui Yan, Claire Sethuram, Howard Bergman, Jim LaPlante, Daniel McIsaac, Samira Abbasgholizadeh Rahimi, Nadia Sourial, Manpreet Thandi, Sabrina Wong, Clare Liddy, Karen Bandeen‐Roche, Sathya Karunananthan   +20 more
wiley   +1 more source

Harnessing Human Mobility Data for Applied Economic Research: Current Knowledge, Challenges, and Emerging Opportunities

Journal of Economic Surveys, EarlyView.
ABSTRACT This paper reviews how large‐scale mobility data can enhance economic analyses, highlighting its contributions to understanding travel behavior, labor markets, social interactions, and health outcomes. We discuss its advantages over traditional mobility data sources, which include real‐time location information and fine spatial resolution ...
Cristina Connolly, Sandro Steinbach, Mike Vo, Xibo Wan   +3 more
wiley   +1 more source