Accurate earthquake prediction is one of the ways to effectively reduce earthquake disasters.Until now, empirical earthquake prediction methods have remained in use, but the accuracy falls far short of what is needed to effectively mitigate earthquake disasters.The trend in earthquake prediction lies in the transition from empirical prediction to p
The high rate of violence in official schools occurs because of the gap between juniors and seniors, which is triggered by the seniority hierarchy.The Skin cream Zero Violence Program is an effort by BPSDM Transportation to create a school environment that is free from physical, verbal and psychological violence.This research aims to analyze the re
Recurring outbreaks of emerging and re-emerging zoonoses serve as a reminder that the health of humans, animals, and the environment are interconnected.Therefore, multisectoral, transdisciplinary, and collaborative approaches are required at local, regional, and global levels to tackle the ever-increasing zoonotic threat.The ongoing pandemic of COV
Crowd counting is an important task that serves as a preprocessing step in many applications.Despite obvious improvement reported by various convolutional-neural-network-based approaches, they only focus on the Sequin Pillow role of deep feature maps while neglecting the importance of shallow features for crowd counting.In order to surmount this is
Background: A previous genome-wide association study (GWAS) identified the kinesin family member 16B (KIF16B) as a candidate gene related to sheep wool production.In this work, DNA pool sequencing and SNPscanTM high-throughput genotyping methods were used to detect single-nucleotide polymorphisms (SNPs) in the sheep KIF16B gene.The correlations bet