Signatures of positive selection for local adaptation of African native cattle populations: A review by Wondossen AYALEW, Xiao-yun WU, Getinet Mekuriaw TAREKEGN, Min CHU, Chun-nian LIANG, Tesfaye SISAY TESSEMA, Ping YAN

“…Although there are no functional genomics studies, recent advancements in genotyping and sequencing technologies have identified and annotated limited functional genes and causal variants associated with unique adaptive and economical traits of African cattle populations. …”
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Genomic signal selection analysis reveals genes related to the lambing trait of Hotan sheep by XinKun Wang, Wei Li, QiaoYan Huang, HuiPing Sun, LeXiao Zhu, RuoHuai Gu, Feng Xing

“…We identified 290 selected regions and 332 genes across the Hotan sheep genome by using two widely adopted selective scanning detection methods (FST statistics and Piratio). …”
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Advanced Nanoscale Functionalities for Water and Energy Technologies by Zhi Xu, Nan Wu, Soufiane Abdelghani‐Idrissi, Corentin Trégouët, Javier Perez‐Carvajal, Annie Colin, Ming Ma, Antoine Niguès, Alessandro Siria

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Is Clonal Integration a Buffer for the Stress of Resource Acquisition Depletion in <i>Eichhornia crassipes</i> (Pontederiaceae) Ramets? by Guilherme Ramos Demetrio, Dalton Serafim, Flávia de Freitas Coelho

“…Natural selection favors the allocation of finite resources to different functions maximizing fitness. …”
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Selection for domestication favored taxa characterized by fast growth and tolerance of high intraspecific density by Rafael Rubio deCasas, Irene Martín‐Brull, Ruben Milla, Francisco J. Ocaña‐Calahorro

“…We conclude that early agriculturalists selected for domestication wild legumes that performed well in dense monocultures and were more effective in resource capture. …”
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RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space by Yafei Liu, Na Liu, Hao Li, Yi Jiang, Junwu zhu

“…Underwater Wireless Sensor Networks (UWSNs) are widely used in naval military field and marine resource exploration. However, challenges such as resource inefficiency and unbalanced energy consumption severely hinder their practical applications. …”
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Evaluating habitat selection of François’ langur in the karst mountains of China: Implications for conservation strategies by Jialiang Han, Xing Fan, Guy Michael Williams, Qixian Zou, Bingnan Dong

“…Using species presence data and environmental variables, we analyzed habitat selection through a resource selection function (RSF). …”
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Impact of Artificial Intelligence on Human Resource Management Practices: A Qualitative Study in Hyderabad, Pakistan’s Banking Sector by Sahar Akhtar Mughal, Mohammed Bilal Memon, Faraz Ali Memon

“… Artificial Intelligence (AI) is reshaping the way Human Resource Management (HRM) functions within organizations. …”
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Optimization of CNN Activation Functions using Xception for South Sulawesi Batik Classification by Aswan Aswan, Eva Yulia Puspaningrum, Billy Eden William Asrul

“…The results demonstrate that selecting an optimal activation function substantially enhances convolutional neural network classification of complex batik patterns. …”
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Exploration of crop germplasm resources knowledge mining in Chinese ancient books: a route toward sustainable agriculture by Wenjuan Zhao, Suoling Zhu, Yuan Cao

“…It is a complement to the current collection and utilization of germplasm resources. Furthermore, some of the excellent varieties discovered still possess good trait stability after nearly a century of natural evolution and artificial selection, which provides a solid germplasm base for sustainable agricultural development. …”
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Characterization analyses of MADS-box genes highlighting their functions with seed development in Ricinus communis by Jing Sun, Zekun Zhou, Fanqing Meng, Mengyun Wen, Aizhong Liu, Anmin Yu, Anmin Yu, Anmin Yu

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Conceptual principles of formation and functioning of vertically integrated structures by V.A. Topilo, V.K. Danylko

“…Based on the decomposition analysis, the paper clarifies the concept of «vertically integrated structure», which should be understood as a form of functioning the business structure, that arose by combining financial, production, labor resources of various organizational and legal forms related to the technological cycle (the process of supply, production and sale of products) in order to obtain maximum synergy and strategic competitive advantages. …”
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Assessment of the capacity of health facilities in preventing and managing non-communicable diseases in selected regions of Somaliland by Opeolu O. Ojo, Omar O Hersi, Ayodele A Falobi, Nura Ali, Lawrence Tan, Yusuf A. Ali

“…The survey focused on assessing the capacity of selected hospitals in detecting and managing NCDs by collecting data on the availability of health workers, equipment, screening and management services, medications, and laboratory tests. …”
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Is there a future for livestock in a sustainable food system? Efficiency, sufficiency, and consistency strategies in the food-resource nexus by Isabel Jaisli, Gianluca Brunori

“…Livestock production has been identified as the most relevant factor for the sustainability of future food system and is anticipated to be increasingly influenced by competition for critical resources such as land and water, the rivalry between food and feed, and the imperative to function within a carbon-constrained economy. …”
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Boosting feature selection efficiency with IMVO: Integrating MVO and mutation-based local search algorithms by Maryam Askari, Farid Khoshalhan, Hodjat Hamidi

“…Our method balances exploration and exploitation, focusing resources on the most promising regions, thus enhancing feature selection effectiveness and reducing computational costs. …”
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Advances in preparation and application of coal-based functional nanomaterials by Shenyong LI, Shenjun QIN, Changquan MEN, Jiajia HOU, Dawei LYU, Xue ZHENG, Wei PANG, Longlong HAO, Daoyuan ZHAO, Shaozhuo ZHANG

“…However, traditional coal utilization as a primary carbon emission source fundamentally conflicts with the “dual-carbon” strategic goals. …”
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Algorithms for Automatic Detection and Location of Infrasound Events in the PSDL System by Asming Vladimir Ernestovich, Fedorov Andrey Viktorovich

“…An algorithm for detecting infrasound signals by calculating the cross-correlation function between records of individual sensors in a array is described. …”
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Detection, Parameter Estimation and Direction Finding of Periodic Pulse Signals by V. B. Manelis, I. S. Faustov, V. A. Kozmin

“…Simple-to-implement algorithms for detecting periodic pulse signals, evaluating their parameters, and direction finding of the source have been developed. …”
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Code vulnerability detection method based on graph neural network by Hao CHEN, Ping YI

“…The schemes of using neural networks for vulnerability detection are mostly based on traditional natural language processing ideas, processing the code as array samples and ignoring the structural features in the code, which may omit possible vulnerabilities.A code vulnerability detection method based on graph neural network was proposed, which realized function-level code vulnerability detection through the control flow graph feature of the intermediate language.Firstly, the source code was compiled into an intermediate representation, and then the control flow graph containing structural information was extracted.At the same time, the word vector embedding algorithm was used to initialize the vector of basic block to extract the code semantic information.Then both of above were spliced to generate the graph structure sample data.The multilayer graph neural network model was trained and tested on graph structure data features.The open source vulnerability sample data set was used to generate test data to evaluate the method proposed.The results show that the method effectively improves the vulnerability detection ability.…”
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Introduction of AI Technology for Objective Physical Function Assessment by Nobuji Kouno, Satoshi Takahashi, Masaaki Komatsu, Yusuke Sakaguchi, Naoaki Ishiguro, Katsuji Takeda, Kyoko Fujioka, Ayumu Matsuoka, Maiko Fujimori, Ryuji Hamamoto

“…This paper explored how artificial intelligence (AI) could predict physical function scores from various patient data sources and reviewed methods to measure objective physical function using this technology. …”
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