An Empirical Framework Characterizing the Metallicity and Star-formation History Dependence of X-Ray Binary Population Formation and Emission in Galaxies by Bret D. Lehmer, Erik B. Monson, Rafael T. Eufrasio, Amirnezam Amiri, Keith Doore, Antara Basu-Zych, Kristen Garofali, Lidia Oskinova, Jeff J. Andrews, Vallia Antoniou, Robel Geda, Jenny E. Greene, Konstantinos Kovlakas, Margaret Lazzarini, Chris T. Richardson

“…We present a new empirical framework modeling the metallicity and star formation history (SFH) dependence of X-ray luminous ( L ≳ 10 ^36 erg s ^−1 ) point-source population X-ray luminosity functions (XLFs) in normal galaxies. …”
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Building the optimal hybrid spatial Data-Driven Model: Balancing accuracy and complexity by Emanuele Barca, Maria Clementina Caputo, Rita Masciale

“…This methodology profiles the model that better adapts to the data, aiding in the selection of the simplest model that achieves the desired accuracy, functioning similarly to a recommender system for model selection. …”
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Assembly and comparative analysis of the complete mitochondrial of Spodiopogon sagittifolius, an endemic and protective species from Yunnan, China by Chao Xu, Wei Bi, Ren-yi Ma, Pin-rong Li, Feng Liu, Zhen-wen Liu

“…Synteny and dN/dS analyses revealed structural and functional conservation of mitochondrial genomes in closely related species, with most protein-coding genes under purifying selection (dN/dS < 1). …”
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Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models by Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

“…Additionally, the experimental results imply that training solely on textual content can yield high prediction accuracy, thereby providing valuable insights into the optimization of fake news detection systems. These findings not only aid in detecting misinformation but also have broader implications for the application of advanced deep learning techniques in public health policy and communication.…”
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Identification of the cassava NADP-ME gene family and its response and regulation in photosynthesis by Haozheng Li, Jin Xiao, Jiahui Chen, Xu Shen, Jia Luo, Fengguang Guo, Shangfei Wang, Liangye Xu, Xin Guo, Shujuan Wang, Haiyan Wang, Wenquan Wang

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Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative Entropy by Yongmei Hao, Zhanghao Du, Juncheng Jiang, ZhiXiang Xing, Xinming Yan, Shuli Wang, Yongchao Rao

“…Pipeline leak detection has always been a relatively difficult technical problem; especially in urban pipeline leak detection, there are still many problems to be solved. …”
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Associations between milk infrared-predicted plasma biomarkers of stress resilience and fertility in dairy cattle: Insights for enhancing breeding programs and herd management by Alessio Cecchinato, Hugo Toledo-Alvarado, Lucio Flavio Macedo Mota, Vittoria Bisutti, Erminio Trevisi, Riccardo Negrini, Sara Pegolo, Stefano Schiavon, Luigi Gallo, Giovanni Bittante, Diana Giannuzzi

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Transcriptome analysis reveals the candidate genes associated with skin color variation in Luciobarbus capito by Longwu Geng, Xinchi Shang, Haijun Wei, Guangxiang Tong, Wei Xu, Youyi Kuang

“…The yellow Aral barbel represents a valuable germplasm resource due to its stable genetic body color and high consumer preference due to the color and market value. …”
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Evaluating the Efficiency of Energy Consumption in Dairy Cattle Breeding Unit Using Statistical and ANFIS Methods by Ostvar Saeed, Shahgholi Gholamhossein, Chekan Ahmad Moradi, Moinfar Abdolmajid, Szymanek Mariusz

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The Impact of Building Level of Detail Modelling Strategies: Insights into Building and Urban Energy Modelling by Daniel Bishop, Mahdi Mohkam, Baxter L. M. Williams, Wentao Wu, Larry Bellamy

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Genetic Basis and Exploration of Major Expressed QTL <i>qLA2-3</i> Underlying Leaf Angle in Maize by Yonghui He, Chenxi Wang, Xueyou Hu, Youle Han, Feng Lu, Huanhuan Liu, Xuecai Zhang, Zhitong Yin

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A Predictive Model for Estimating Reservoir Impounding Time Based on the Net Inflow and Storage Volume by Harimukti Rosita R., Pitojo T. Juwono, Lily M. Limantara, Emma Yuliani

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Investigation on the interaction force measurement between bubble and particle in flotation based on resistance strain cantilever beam by Xibing REN, Lijuan SUN, Qinshan LIU, Yulong CHENG, Xiahui GUI, Yaowen XING

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Graphitic Carbon Nitride Nanomaterials-Based Electrochemical Sensing Interfaces for Monitoring Heavy Metal Ions in Aqueous Environments by Cheng Yin, Yao Liu, Tingting Hu, Xing Chen

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Dynamically Cyclic Fe2+/Fe3+ Active Sites as Electron and Proton-Feeding Centers Boosting CO2 Photoreduction Powered by Benzyl Alcohol Oxidation by Ben Lei, Gaofeng Zhou, Zhongyou Gong, Chao Liu, Ying Zhou, Vitaliy P. Guro, Yanjuan Sun, Jianping Sheng, Fan Dong

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Jumping Characteristics of Broiler Breeder Hens at Different Perching Platform Heights by Xiaoliu Xue, Baoming Li, Qin Tong, Yang Wang, Peng Yin

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Genome-wide identification and analysis of SmRR gene family in eggplant (Solanum melongena L.) and their response to abiotic stress and auxin by Wenjing Li, Hui Li, Yanyu Lin, Yutong Li, Xiaofang Xie, Xuefang Zheng, Weiren Wu, Yuanchang Zhou, Yan Zheng

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Auto-Probabilistic Mining Method for Siamese Neural Network Training by Arseniy Mokin, Alexander Sheshkus, Vladimir L. Arlazarov

“…This paper address these issues by proposing a novel mining method and metric loss function. Firstly, this paper presents an auto-probabilistic mining method designed to automatically select the most informative training samples for Siamese neural networks. …”
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Exploring the infection strategy of Colletotrichum fructicola in pecan and two effectors Cf-ID1 and Cf-ID2 were characterized using unique molecular identifier-RNA sequencing techn... by Long-Jiao Hu, Long-Jiao Hu, Ji-Ping Xuan, Ji-Ping Xuan, Yang Li, Yang Li, Min Zhai, Min Zhai, Guo-Ming Wang, Guo-Ming Wang, Li-Na Deng, Zheng-Hai Mo, Zheng-Hai Mo

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pytom-match-pick: A tophat-transform constraint for automated classification in template matching by Marten L. Chaillet, Sander Roet, Remco C. Veltkamp, Friedrich Förster

“…However, TM faces challenges of weak signal of the macromolecules and interfering features with a high signal-to-noise ratio, which are often addressed by time-consuming, subjective manual curation of results. To improve the detection performance we introduce pytom-match-pick, a GPU-accelerated, open-source command line interface for enhanced TM in cryo-ET. …”
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