Prior Information Shapes Perceptual Confidence by Luca Tarasi, Margherita Covelli, Chiara Tabarelli de Fatis, Vincenzo Romei

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Machine Learning Applications to Dust Storms: A Meta-Analysis by Reem K. Alshammari, Omer Alrwais, Mehmet Sabih Aksoy

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A lightweight wheat ear counting model in UAV images based on improved YOLOv8 by Ruofan Li, Xiaohua Sun, Kun Yang, Zhenxue He, Zhenxue He, Xinxin Wang, Xinxin Wang, Chao Wang, Chao Wang, Bin Wang, Fushun Wang, Fushun Wang, Hongquan Liu, Hongquan Liu

Subjects: “…wheat ear detection…”
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Investigating the Coupling Effects of Momentum Wake-Buoyancy Jets in Thermohaline Stratification: A Simulation Study by Yongcheng Du, Changgeng Shuai, Feiyang Luo, Chengzhe Gao

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View adaptive multi-object tracking method based on depth relationship cues by Haoran Sun, Yang Li, Guanci Yang, Zhidong Su, Kexin Luo

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Improved early postoperative cognition in elderly gastrointestinal patients: a randomized controlled trial on the role of ultrasound-guided stellate ganglion block by Ruyue Xue, Yuexian Li, Mei Zhan, Lin Yang, Defeng Sun

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Scan-to-BIM-to-Sim: Automated reconstruction of digital and simulation models from point clouds with applications on bridges by Yunping Fang, Stergios-Aristoteles Mitoulis, Daniel Boddice, Jialiang Yu, Jelena Ninic

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From the Neolithic to the end of Early Bronze Age: developments in the construction of entrance gates and city walls at settlements in Burdur (Turkey) and the surrounding region by Gülsün Umurtak

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Research on power communication private network based on interleaved digital-analog hybrid modulation by ZHANG Jun, XU Xiang, RUI Wenjun, HU Weisheng

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Effective preprocessing techniques for improved facial recognition under variable conditions by Afolabi I. Awodeyi, Omolegho A. Ibok, Idama Omokaro, Jones U. Ekwemuka, Michael O. Ighofiomoni

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Artificial intelligence-driven ensemble deep learning models for smart monitoring of indoor activities in IoT environment for people with disabilities by Munya A. Arasi, Hussah Nasser AlEisa, Amani A. Alneil, Radwa Marzouk

Subjects: “…Indoor activity detection…”
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Comprehensive evaluation of the nutritional value and contaminants of alfalfa (Medicago sativa L.) in China by Xiaoyan Zhu, Xiaoyan Zhu, Xiaoyan Zhu, Wenxue Chen, Mengyao Li, Boshuai Liu, Boshuai Liu, Boshuai Liu, Shumin Zhao, Menglin Hu, Jiajing Li, Defeng Li, Defeng Li, Defeng Li, Yinghua Shi, Yinghua Shi, Yinghua Shi, Hao Sun, Hao Sun, Hao Sun, Chengzhang Wang, Chengzhang Wang, Chengzhang Wang

“…The detection rates of mycotoxins, microorganisms, and heavy metals were 100%. …”
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Correlation between fecal biomarkers and the presence of antineutrophil cytoplasmic antibodies with ulcerative colitis disease activity by Büşra Usta, Demet Gür Vural, Asuman Birinci, Müge Ustaoğlu Dede

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Case report: A novel 11-bp deletion in exon 11 causing a frameshift in the C-terminal of the ALAS2 gene leading to X-linked sideroblastic anemia—a family study by Salam Al kindi, Salam Al kindi, Altaf Al-Mamari, Shoaib Al-Zadjali, Mohamed Al-Rawahi, Ali Al Madhani, Anil V. Pathare

“…Herein, we report a novel 11-bp deletion in exon 11 leading to a frameshift in the C-terminal region of the ALAS2 gene with a non-functional longer polypeptide of 614 amino acids leading to a loss-of-function mutation manifested as an X-linked sideroblastic anemia phenotype. …”
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GS-LinYOLOv10: A drone-based model for real-time construction site safety monitoring by Yang Song, ZhenLin Chen, Hua Yang, Jifei Liao

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Automated Cattle Monitoring System for Calving Time Prediction Using Trajectory Data Embedded Time Series Analysis by Wai Hnin Eaindrar Mg, Thi Thi Zin, Pyke Tin, Masaru Aikawa, Kazayuki Honkawa, Yoichiro Horii

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Application of IoT and blockchain technology in the integration of innovation and industrial chains in high-tech manufacturing by Zepei Li, Peng Zheng, Yanjia Tian

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Diagnosis of Functional Gastrointestinal Disorders and Choice of Treatment Regimen in Constipation Patients by I. V. Maev, A. N. Kazyulin, Yu. A. Kucheryavy, S. V. Cheryomushkin, A. Yu. Goncharenko, А. V. Gilyuk

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High-resolution X-ray computerized tomography to characterize localized corrosion rates of carbon steel in contaminated steam cycles by Akash Ganesan, Renaldo Springer, Andrew Howell, Brad Burns, Derek M. Hall

“…This study highlights the need to detect and quantify localized corrosion in boiler tubing and the effectiveness of X-ray computed tomography in assessing corrosion rates.…”
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