Results 161 to 170 of about 94,492 (306)
ABSTRACT In the agricultural landscape of most developing countries, the last decade has witnessed the expansion of outsourced agricultural extension services. Private firms and nongovernmental organizations focused on delivering agricultural extension and advisory services to farmers have emerged.
Boris D. Soh Wenda +3 more
wiley +1 more source
Soil characteristics associated with historical commensal rodent plague foci in Yunnan Province, China. [PDF]
Ai ZQ +6 more
europepmc +1 more source
Pixeldiskurs-Podcast #140 – A Plague Tale: Innocence (mit Dr. Arno Görgen)
Die Pest ist spätestens seit ihrer erschütternden zweiten Pandemie nicht nur ein Faszinosum, sondern auch Inspiration für Erzählungen rund um apokalyptische Kontamiationsszenarien.
Görgen, Arno
core
Challenges and enablers in fluidization technology
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley +1 more source
An Overview of the Genetic Diversity and Epidemiological Potential of <i>Yersinia pestis</i> Populations in Natural Plague Foci of Kazakhstan. [PDF]
Abdirassilova A +17 more
europepmc +1 more source
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source
Spatial prediction of animal plague risk in Qinghai Province, China using MaxEnt modeling: implications for targeted control. [PDF]
Wang Y +14 more
europepmc +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Assessing plague risk across seven decades of environmental change in Inner Mongolia, China: An interpretable machine learning. [PDF]
Wang X +6 more
europepmc +1 more source

