The Boltzmann distribution in the problem of rational choice by population of a patch under an imperfect information about its resources by Alexander N. Kirillov, Inna V. Danilova

“…The conditions under which the population, with the lack of information, select the “poor” patch, in sense of its resources, are obtained. …”
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SHIVA-CMB: a deep-learning-based robust cerebral microbleed segmentation tool trained on multi-source T2*GRE- and susceptibility-weighted MRI by Ami Tsuchida, Martin Goubet, Philippe Boutinaud, Iana Astafeva, Victor Nozais, Pierre-Yves Hervé, Thomas Tourdias, Stéphanie Debette, Marc Joliot

“…An increasing number of automated CMB detection methods being proposed are based on supervised deep learning (DL). …”
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Website defense strategy selection method based on attack-defense game and Monte Carlo simulation by Hao WU, Jiulun FAN, Chengzhe LAI, Jianhua LIU

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Source Process Estimation for the 2024 Mw 7.1 Hyuganada, Japan, Earthquake and Forward Modeling Using N‐net Ocean Bottom Seismometer Data by R. Shibata, H. Kubo, W. Suzuki, S. Aoi, H. Sekiguchi

“…The N‐net seafloor seismograms of the mainshock with a frequency of ∼0.05 Hz recorded east of the source area were reproduced for several stations using the empirical Green's function approach based on the estimated source process data.…”
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STATISTICAL DATA AND ANALYSIS OF LITERATURE SOURCES ON PATHOPHYSIOLOGICAL MECHANISMS OF THE CROSSTALK BETWEEN ACUTE KIDNEY AND LIVER INJURY IN PRETERM NEWBORNS DURING THE EARLY NEO... by О. Оболонська, Л. Вакуленко

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Vehicle detection method based on multi-layer selective feature for UAV aerial images by Yinbao Ma, Yuyu Meng, Jiuyuan Huo

“…For the detection head, a Generalized Wasserstein Distance Loss (GWDLoss) function is proposed to quantify positional and scale discrepancies, improving the adaptability of bounding box regression to geometric variations. …”
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Investment Function of Economic Growth in Russia by O. S. Sukharev

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CO2 to fuel: Role of polymer electrolytes on efficiency and selectivity by Sumaya Akhter, Tapas Palai, Leela Manohar Aeshala, A.M. Kannan

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Germplasm Selection and Comprehensive Evaluation of Maize Inbred Lines at Germination and Seedling Stage for Saline–Alkali Tolerance by Shaoqi Ren, Jian Tan, Shuna Zhou, Haixiao Sun, Honggang Li, Wenjin Li, Nuo Li, Jinfeng Wu, Xuejiao Ren, Jiabin Ci, Weiguang Yang

“…Therefore, in the preliminary screening of breeding germplasm resources, different reference indexes can be selected according to different periods and stress conditions. …”
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Functionalizing Lignin‐Based Nanofiber Electrodes with Gold Using Electrochemically Assisted Aqueous Reduction by Reima Herrala, Linfan Cui, Bianca Ligt, Bruno Dufau Mattos, Kirsi Yliniemi, Marta Costa Figueiredo, Mari Lundström, Jaana Vapaavuori

“…Abstract This work demonstrates how the electrochemically assisted aqueous reduction (EAR) method can be employed with lignin to prepare functional surfaces from underutilized resources. First, electrospun lignin nanofiber mats are carbonized at 700, 900, and 1100 °C to prepare electrodes with conductivities between 1.1 and 12 S cm−1. …”
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Intelligent Firefighting Technology for Drone Swarms with Multi-Sensor Integrated Path Planning: YOLOv8 Algorithm-Driven Fire Source Identification and Precision Deployment Strateg... by Bingxin Yu, Shengze Yu, Yuandi Zhao, Jin Wang, Ran Lai, Jisong Lv, Botao Zhou

“…This study aims to improve the accuracy of fire source detection, the efficiency of path planning, and the precision of firefighting operations in drone swarms during fire emergencies. …”
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Three-Dimensional Real-Scene-Enhanced GNSS/Intelligent Vision Surface Deformation Monitoring System by Yuanrong He, Weijie Yang, Qun Su, Qiuhua He, Hongxin Li, Shuhang Lin, Shaochang Zhu

“…The system integrates GNSS monitoring terminals and multi-source meteorological sensors to accurately capture minute displacements at monitoring points and multi-source Internet of Things (IoT) data, which are then automatically stored in MySQL databases. …”
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Highly Efficient Biphoton Generation from Thin Dense Atomic Ensemble by Heewoo Kim, Hansol Jeong, Han Seb Moon

“…Strongly correlated bright biphotons are generated via spontaneous four‐wave mixing from a dense atomic ensemble based on the 6S1/2–6P3/2–6D5/2 transition of 133Cs. Biphoton source achieves a detected biphoton count rate of 100 kilo‐counts per second, a heralding efficiency of 15%, and a maximum normalized crosscorrelation function value of 100 between the signal and idler photons, despite the low detector efficiency of a silicon avalanche photodetector being less than 25% at 917 nm. …”
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Spin-dependent edge detection and imaging enabled by optical circularly polarised states by Jiale Chen, Zhao-xian Chen, Zi-xin Zhou, Yan-qing Lu, Jun-long Kou

“…Furthermore, these two independent functions can be easily switched by altering the circular polarisation state of the light source.…”
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Sea dragon metabolome and lipidome unveil bioactive functional food candidates with sepsis therapeutic activities by Huixiang Wu, Miaoyu Li, Lijun Ge, Weibo Lu, Xuewei Shen, Yu Zhang, Zengyan Wu, Jianding Wang, Yonghui Wu, Huijuan Mao, Jianliang Zhang, Qingcheng Wang, Jing Xue, Qing Shen, Yuexing Tu

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Impacts of Population Ageing on the Functions of the Health System: A Systematic Review by Alireza Hajizadeh, Ahmed Hassan Albelbeisi, Maryam Tajvar

“…In the resource generation function, the impacts were categorized into human, information and physical resources. …”
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Trait-Based Selection of Seeds Ingested and Dispersed by North American Waterfowl by Bia A. Almeida, Mihai Costea, Giliandro G. Silva, Leonardo Maltchik, Susan E. W. De La Cruz, John Y. Takekawa, Andy J. Green

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EXPRESS ANALYSIS OF THE TRANSITION STATE COMPANY by V. Kryuchkov, A. Gatin

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Effects of tourism on seasonal movements and fine-scale habitat selection of African lions and spotted hyenas in Etosha National Park, Namibia by Jessica R. Patterson, Stéphanie Périquet-Pearce, Madeline H. Melton, Brennan PetersonWood, Dipanjan Naha, Claudine Cloete, James C. Beasley

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An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM by Zhen Chen, ZhenWan Li, Jia Huang, ShengZheng Liu, HaiXia Long

“…We select the optimal threshold and loss function, which are part of our optimal model, by comparing metrics such as accuracy, precision, recall, False Alarm Rate (FAR), Area Under the Receiver Operating Characteristic Curve (AUC-ROC), and Area Under the Precision–Recall Curve (AUC-PR) values. …”
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