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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Learning Transferable Convolutional Proxy by SMI-Based Matching Technique by Wei Jin, Nan Jia

“…The classification responses are also smoothened by manifolds of both the source domain and proxy space. By minimizing an objective function of SMI, classification error, and manifold regularization, we learn the convolutional networks of both source and target domains. …”
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Differences in Soil Reinforcement and Root Fatigue Properties of Typical Shrubs in Semi-arid Mining Areas by Xin Zhang, Bo Wang, Tiejun Liu, Jianying Guo, Hugang Wang, Zhenqi Yang

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Collective Mapping of Gas Leakages to Determine Safe Routes Using Multi-Robot System by Ronnier Frates Rohrich, Luis Felipe Messias, Jose Lima, Andre Schneider de Oliveira

“…In this study, robot groups act as multiple composite sensors that can move independently according to their assigned functions. Autonomous detection, collective mapping, and collective decision-making of the robots are behaviors bioinspired by the cognitive mechanisms observed in bacterial colonies. …”
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Leader election of dynamic wireless intelligent control machine in sensor network distributed processing by Eko Sediyono, Ferry Wahyu Wibowo, Hindriyanto Dwi Purnomo

“…The clustering of sensor nodes utilizes a cluster function using the CLEO algorithm. This paper also carried out the selection of group leaders to obtain an energy efficiency model from WSN-CLEO. …”
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Unveiling the ecological processes driving soil and lichen microbiome assembly along an urbanization gradient by Panji Cahya Mawarda, Rens van der Kaaij, Francisco Dini-Andreote, Deniz Duijker, Michael Stech, Adrianus GCL Speksnijder

“…Our findings revealed that the urbanization gradient shaped the soil microbiome, while the lichen microbiomes exhibited strong host specificity and showed no significant changes in diversity along the urbanization gradient. Heterogeneous selection and dispersal limitation primarily governed the soil community assembly and higher community turnover in medium- and highly urbanized zones compared to low-urbanized zones, indicating an increased influence of environmental pressures, altered resources, and habitat fragmentation in more urbanized areas. …”
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Genome-wide analysis of the bHLH gene family in Spatholobus suberectus identifies SsbHLH112 as a regulator of flavonoid biosynthesis by Shuangshuang Qin, Ying Liang, Yueying Xie, Guili Wei, Quan Lin, Weiqi Qin, Fan Wei

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A Two-Step Method for Impact Source Localization in Operational Water Pipelines Using Distributed Acoustic Sensing by Haonan Wei, Yi Liu, Zejia Hao

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Cost-Effective Photoacoustic Imaging Using High-Power Light-Emitting Diodes Driven by an Avalanche Oscillator by Alberto Prud’homme, Frederic Nabki

“…While lasers have traditionally been the light source for PAI, their high cost and complexity drive interest towards alternative sources like light-emitting diodes (LEDs). …”
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Two rare cases of severe community-acquired bloodstream infections: a clinical case report by Li-Na Meng, Gang Li

“…Detailed medical history inquiries, assessment of underlying immune status, detection of the source of infection, and initial precise identification and treatment of the infectious agents can improve the prognosis of CABSI.Case descriptionIn this paper, two incidences of severe CABSI with insidious onset and rapid progression are described. …”
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BUILDING AND DEVELOPING A PROJECT TEAM ON THE BASIS OF A MULTICRITERIA MODEL by Nataliia Kosenko, Alona Kolomiiets

“…The methods used are: multicriteria assessment and optimization methods, utility function. The following results are obtained. The general task of managing human resources and building a team for a new project was analyzed. …”
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A novel approach to field data augmentation with remote sensing and machine learning in rangelands by Hailey E. Schmidt, Javier Osorio Leyton, Efrain Noa Yarasca, Sorin C. Popescu, Justinn J. Jones, Justin P. Wied, Xinyuan Wu

“…However, these ecosystems are increasingly threatened by woody plant encroachment (WPE), which impacts forage availability, habitat quality, and other ecosystem functions. Despite advances in remote sensing and machine learning (ML) for monitoring and managing WPE, a significant gap persists in providing effective, scalable, and high-quality training data to support early detection efforts. …”
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Research on Segmentation Experience of Music Signal Improved Based on Maximization of Negative Entropy by Qin Yao, Zhencong Li, Wanzhi Ma

“…Experiments have proved that the new objective function can significantly improve the separation performance of neural networks. …”
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Numerical prognosis of the dynamic response of the steel rectangular slab under the explosive load by Sławomir Onopiuk, Adam Stolarski, Ryszard Rekucki

“…Conclusions were also formulated regarding the requirements for the selection of parameters of the sensors recording both the function of real explosion pressure in time and the function of acceleration in time of the slab model during experimental tests.…”
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A Novel Method for Traceability of Crude Oil Leakage on Offshore Platforms Based on Improved YOLOv5 Model Multi-Target Identification and Correlation Analysis by Zhenghua Wang, Shihai Zhang, Chongnian Qu, Zongyi Zhang, Feng Sun

“…Based on the positional relationship between the spilled crude oil target and the source target detection anchor frame, the possible source targets are classified into three association levels and assigned different association weights. …”
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Construction and Completion of the Knowledge Graph for Cow Estrus with the Association Rule Mining by Zhiwei Cheng, Luyu Ding, Cheng Peng, Helong Yu, Baozhu Yang, Ligen Yu, Qifeng Li

“…<b>Methods:</b> This study gathered cow estrus data from 812 literature sources using Python 3.9 crawler technology. The data were then preprocessed using CiteSpace 6.4. …”
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Molecular dissection of the genetic architecture of phenology underlying Lupinus hispanicus early flowering and adaptation to winter- or spring sowing by Wojciech Bielski, Anna Surma, Jolanta Belter, Bartosz Kozak, Michał Książkiewicz, Sandra Rychel-Bielska

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Altitudinal patterns of bacterial communities across soil layers in the alpine meadows of the Qinghai-Tibet Plateau by Zhiyuan Chen, Yeteng Xu, Xinyue Wang, Tong Ma, Yang Liu, Xiang Qin, Wei Zhang, Tuo Chen, Guangxiu Liu, Binglin Zhang

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Secondary Frequency Control of Islanded Microgrid Based on Deep Reinforcement Learning by Li WANG, Yuxiang JIANG, Xiangjun ZENG, Bin ZHAO, Junhao LI

“…The reward function balances the goals of frequency recovery and power allocation among distributed energy resources , ensuring consistency in action selection among the intelligent agents. …”
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Heat treatment control technology of high-strength steel gears based on support vector machine by Yanzhong Wang, Libin Zhang, Yulu Su, Hai Liu, HaiLong Yang, Yanyan Chen

“…At the present stage, the method of multi-parameter multi-level combination test block trial production is often used, but its production cycle is long, and the waste of human and material resources is serious. In this study, with the help of machine learning, a support vector machine prediction model of gear tissue distribution is constructed based on heat treatment parameters, and the radial basis functions kernel function is selected as the kernel function of the support vector machine to improve the accuracy of model prediction by optimizing the kernel parameters. …”
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