Research note: Genetic parameters estimation of egg quality traits in Beijing-You chickens by Xinying Xu, Yuze Yang, Xiaoke Zhang, Dexin Wang, Qin Li, Zhuo Chang, Aixin Ni, Ziyan Huang, Jingwei Yuan, Yanyan Sun, Yunlei Li, Adamu Mani Isa, Jilan Chen

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An optimization model for network design in disaster relief planning by Kevin Palomino, Carmen Berdugo-Correa, David García-Barrios

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Retrieval of NO2 Columns by Exploiting MAX-DOAS Observations and Comparison with OMI and TROPOMI Data during the Time Period of 2015–2019 by Ahmad Iqbal, Naveed Ahmad, Hassan Mohy ud Din, Michel Van Roozendael, Muhammad Shehzaib Anjum, Muhammad Zeeshan Ali Khan, Muhammad Fahim Khokhar

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Sensitivity analysis of activity scheduling parameters with a parameter optimization framework by Matheus Moro Zamprogno, Domokos Esztergár-Kiss

“…Throughout the years, in the field of transportation several attempts were made to optimize travelers’ activity chains with different parameters to set, but there is a lack of comprehensive solutions. In this research, the activity chain optimization algorithm is applied, which requires high computational efforts. …”
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Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study by Andrea Campagner, Luisa Agnello, Anna Carobene, Andrea Padoan, Fabio Del Ben, Massimo Locatelli, Mario Plebani, Agostino Ognibene, Maria Lorubbio, Elena De Vecchi, Andrea Cortegiani, Elisa Piva, Donatella Poz, Francesco Curcio, Federico Cabitza, Marcello Ciaccio

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Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study by Heonyi Lee, Yi-Jun Kim, Jin-Hong Kim, Soo-Kyung Kim, Tae-Dong Jeong

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Multi-objective mathematical programs to minimize the makespan, the patients' flow time, and doctors' workloads variation using dispatching rules and genetic algorithm by Jerbi Badreddine, Kanoun Salma, Kamoun Hichem

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A systematic performance comparison of two Smooth Pursuit detection algorithms in Virtual Reality depending on target number, distance, and movement patterns by Sarah Christin Freytag, Michelle Kamps, Roland Zechner

“…Learnings of adding the third dimension to the detection algorithms and the role of distractors are discussed and suggestions for future research added. …”
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A clinically feasible algorithm for the parallel detection of glioma‐associated copy number variation markers based on shallow whole genome sequencing by Shuai Wu, Chenyu Ma, Jiawei Cai, Chenkang Yang, Xiaojia Liu, Chen Luo, Jingyi Yang, Zhang Xiong, Dandan Cao, Hong Chen

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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…The massive APT attack analysis reports and threat intelligence generated by security companies have significant research value. They can effectively provide the information of APT organizations, thereby assisting in the traceability analysis of network attack events. …”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…The massive APT attack analysis reports and threat intelligence generated by security companies have significant research value. They can effectively provide the information of APT organizations, thereby assisting in the traceability analysis of network attack events. …”
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A universal optoelectronic imaging platform with wafer-scale integration of two-dimensional semiconductors by Xinyu Wang, Die Wang, Yuchen Tian, Jing Guo, Jinshui Miao, Weida Hu, Hailu Wang, Kang Liu, Lei Shao, Saifei Gou, Xiangqi Dong, Hesheng Su, Chuming Sheng, Yuxuan Zhu, Zhejia Zhang, Jinshu Zhang, Qicheng Sun, Zihan Xu, Peng Zhou, Honglei Chen, Wenzhong Bao

“…This established a solid foundation for further researches in the field of image sensors. We developed and implemented a versatile testing system that uses a printed circuit board to connect the PD and ROIC. …”
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Multi-objective recommendation system utilizing a multi-population knowledge migration framework by Liang Chu, Ye Tian

“…However, recommending non-popular items to enhance users’ novelty experience is also crucial. Currently, many researchers are dedicated to multi-objective recommendation studies. …”
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Lung cancer survivorship research at the National Institutes of Health funded during Fiscal Years 2017–2024 by Michelle A. Mollica, Gina Tesauro, Lisa Gallicchio, Michelle Doose, Lindsey L. Page, Molly E. Maher, Emily Tonorezos

“…This paper describes NIH-funded survivorship research with lung cancer survivor populations.Methods Research grants focused on survivorship for people with lung cancer that were newly funded during Fiscal Years 2017–2024 were identified using a text mining algorithm from the NIH Research, Condition, and Disease Categorization (RCDC) system with survivorship-relevant terms. …”
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Safety anchors and deflected desires: generative AI and the production of sexualities by Daniel Carter

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The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting by A.C. Goulart, A.P. Alencar, G. Tunes, L.L.T. Bianchi, M.H. Miname, C.M. Padilha, J.M.S. Pescuma, A.L.C.C. Rodrigues, B.B. Henares, M.S. de Almeida, T.A.O. Machado, D.H. Syllos, Y.P. Wang, M. Rienzo

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Path tracking control of autonomous vehicle under the measurement disturbance via a novel robust model free adaptive control algorithm by Shida Liu, Guang Lin, Honghai Ji, Li Wang

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Research progress of deep learning-based object detection of optical remote sensing image by Yurong LIAO, Haining WANG, Cunbao LIN, Yang LI, Yuqiang FANG, Shuyan NI

“…Object detection is the core issue in the interpretation of optical remote sensing images, and it is widely used in fields such as intelligence reconnaissance, target monitoring, and disaster rescue.Firstly, combined with the research progress of deep learning optical remote sensing image object detection algorithms, the two types of algorithms based on candidate regions and regression analysis were reviewed.Secondly, the improvement of object detection algorithms for four types of common task-specific scenes were summarized, including rotating objects, small objects, multi-scales, and dense objects.Then, combined with commonly used remote sensing image data sets, the performance of different algorithms was compared and analyzed.Finally, the issues worthy of attention in remote sensing image object detection in the future were prospected, and ideas for follow-up related research were provided.…”
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Main Results and Directions of Research on the Creation of Antenna Systems for Advanced Radio-Electronic Equipment by S. V. Kozlov, D. A. Kovalevich, N. I. Listopad

“…Promising areas of research on this topic are proposed.…”
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Progress and Challenges in Research on Key Technologies for Laser Weed Control Robot-to-Target System by Rui Lu, Daode Zhang, Siqi Wang, Xinyu Hu

“…This review systematically compares the mainstream recognition algorithms for the needs of laser weeding for specific parts, reveals the performance bottleneck of the existing algorithms in the laser weeding environment, and points out new research directions, such as developing weed apical growth zone recognition algorithms. …”
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