Exploring genetic diversity and genomic inbreeding across local beef cattle breeds by G. Gomez Proto, E. Mancin, A. Quaglia, F. Sbarra, R. Mantovani, C. Sartori

“…Beef cattle breeds from Central and Southern Italy, such as Marchigiana, Chianina, Romagnola, Maremmana, and Podolica, represent a unique genetic resource shaped by centuries of natural and artificial selection. …”
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Wastewater metagenomics in Africa: Opportunities and challenges. by Stephen Kanyerezi, Fatma Zahra Guerfali, Abbas Abel Anzaku, Oluwasegun Adesina Babaleye, Tracey Calvert-Joshua, Julien Alban Nguinkal, Oluwaseun Paul Amoo, Chiraz Atri, Waqasuddin Khan, Iqra Saleh, M Imran Nisar, Arthur Shem Kasambula, Koketso Morapedi, Gerald Mboowa

“…The advent of metagenomics has dramatically expanded our understanding of microbial communities, particularly through the study of wastewater, which serves as a rich source of microbial data. In Africa, wastewater metagenomics presents unparalleled opportunities for public health monitoring, antimicrobial resistance (AMR) tracking, and the discovery of new microbial species and functions. …”
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The influence of shot noise on the performance of phase singularity-based refractometric sensors by Maslova Valeria, Ermolaev Georgy, Andrianov Evgeny S., Arsenin Aleksey V., Volkov Valentyn S., Baranov Denis G.

“…This raises a natural question: What happens with the sensitivity and resolution of such a sensor when it operates close to a zero of the response function, where the detected signal may be greatly influenced by various noise sources? …”
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Optimised Neural Network Model for Wind Turbine DFIG Converter Fault Diagnosis by Ramesh Kumar Behara, Akshay Kumar Saha

“…VMD’s robustness stems from its ability to decompose a signal into intrinsic mode functions (IMFs) with well-defined centre frequencies and bandwidths. …”
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Provenance-Finding of Dust Storms Using AVHRR Sensor Images of NOAA Satellite (Case Study: Southwest of Iran) by Mohammad Hossein Rezaei Moghaddam, Mojtaba Mahdian Boruojeni

“…Dust pollution of this area drawn to the south of Khuzestan. 4- Conclusion In general, using 24 AVHRR images and the use of detection techniques, a total 62 points were identified as the source of dust production. …”
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Comparative Study of Fish Diversity in Wanquan River Based on Environmental Technology and Traditional Fishing Gear Survey Methods by Jun LEI, Yuanyuan SU, Lianzheng YIN, Ruohan ZENG, Ping LI, Yongqiang QIN, Xingwei CAI, Xiaoping DIAO

“…The rapid economic development of the Wanquan River basin has seriously affected the ecological function of fish in the basin owing to human activities such as dam dredging and highways. …”
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Dietary Jerusalem artichoke polysaccharide supplementation alters the growth performance, ruminal microbes and metabolites, muscle fatty acid and amino acid profiles in fattening l... by Cuihua Guo, Dongmei Ma, Chongyu Zhang, Yunpeng Wang, Farman Ullah, Xiaojun Wang, Yunkyoung Lee, Guiguo Zhang

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Soil pollution and remediation: emerging challenges and innovations by Hao Chen, Bin Gao, Yuncong Li

“…These pollutants pose severe risks to environmental health and agricultural productivity by altering soil functionality and contaminant mobility. This perspective summarizes innovative monitoring and remediation technologies, including advanced sensors and bioremediation strategies, that enable real-time detection and effective management of soil pollutants. …”
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SentemQC - A novel and cost-efficient method for quality assurance and quality control of high-resolution frequency sensor data in fresh waters [version 1; peer review: 1 approved,... by Sofie Gyritia Madsen van't Veen, Joachim Audet, Eti Ester Levi, Brian Kronvang, Søren Erik Larsen, Erik Jeppesen, Esben Astrup Kristensen, Anders Nielsen, Thomas Alexander Davidson, Jane Rosenstand Laugesen, Peter Mejlhede Andersen

“…Such a process is often resource-intensive and may not be consistent across users and sensors. …”
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Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects by Muhammad Abdullah Hanif, Nandish Chattopadhyay, Bassem Ouni, Muhammad Shafique

“…Such attacks are usually referred to as Trojan or backdoor attacks and are very stealthy and hard to detect. In this paper, we highlight the complete attack surface that can be exploited to inject hidden malicious functionality (backdoors) in machine learning models. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
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Synthetic Microwave Focusing Techniques for Medical Imaging: Fundamentals, Limitations, and Challenges by Younis M. Abbosh, Kamel Sultan, Lei Guo, Amin Abbosh

“…To get a fast solution using limited computational resources, those methods assume the tissue is homogeneous and non-dispersive, and thus, a simplified far-field Green’s function is used. …”
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Screening of anomalies in a double-stranded DNA via global electrical measurements by Sourav Kundu

“…We conduct two-terminal charge transport calculations to detect biological defects in three types of DNA sequences: periodic, quasi-periodic and random. …”
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Splicing defect of StDRO2 intron 1 promotes potato root growth by disturbing auxin transport to adapt to drought stress by Jianping Zhao, Baolin Yao, Ziai Peng, Xinyue Yang, Kuixiu Li, Xiaoyan Zhang, Haiyan Zhu, Xuan Zhou, Meixian Wang, Lihui Jiang, Xie He, Yan Liang, Xiaoping Zhan, Xiaoran Wang, Yuliang Dai, Yanfen Yang, Ao Yang, Man Dong, Suni Shi, Man Lu, Yi Zhao, Mingyun Shen, Liwei Guo, Changning Liu, Hongji Zhang, Decai Yu, Yunlong Du

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SBFI-26 enhances apoptosis in docetaxel-treated triple-negative breast cancer cells by increasing ROS levels by Gang He, Mei Liu, Tang cong Chen, Li fen Huang, You qiang Ke

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Analysis of variant interactions in families with autism points to genes involved in the development of the central nervous system. by Jacek Kaczyński, Marta Pasenkiewicz-Gierula

“…The variants were used to build an ASD predictor based on an open-source machine learning library. The predictor correctly classifies over 78% of samples from a test set with an average significance level of 8.9· 10-158. …”
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LIFE CYCLE ASSESSMENT IN HEALTHCARE SYSTEM OPTIMIZATION. INTRODUCTION by V. Sarancha, K. Vitale, S. Oreskovic, V. Sulyma

“…Various factors and parameters that may influence effectiveness of different sectors in healthcare system are detected. Performance optimization of detected parameters could lead to better system functioning, higher patient safety, economic sustainability and reduce resources consumption.…”
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Identification of key genes related to growth of largemouth bass (Micropterus salmoides) based on comprehensive transcriptome analysis by Dayan Hu, Jieliang Jian, Jinpeng Zhang, Xiaojun Xu, Shu Wang, Cuiping Gong, Yuanqin Zhang, Pengcan Zhu, Zhimin Gu, Wenzhi Guan

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Bioactive matters based on natural product for cardiovascular diseases by Linfang Zhong, Xiaoying Tan, Wenhui Yang, Peishan Li, Lianbao Ye, Qi Luo, Honghao Hou

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A Systematic Search for Candidate Supermassive Black Hole Binaries Using Periodic Mid-infrared Light Curves of Active Galactic Nuclei by Di Luo, Ning Jiang, Xin Liu

“…Analyzing a parent sample of 48,932 objects selected from about half a million AGNs, we have identified 28 candidate periodic AGNs with periods ranging from 1268 to 2437 days (in the observer frame), by fitting their WISE light curves with sinusoidal functions. However, our mock simulation of the parent sample indicates that stochastic variability can actually produce a similar number of periodic sources, underscoring the difficulty in robustly identifying real periodic signals with WISE light curves, given their current sampling. …”
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