Interleukin-4 and specific IgE to oranges levels study in persons with allergic anamnesis by A. S. Prilutskiy, N. B. Abylgazinova, K. Y. Tkachenko

“…The data obtained from the study might be useful both in public health and in further research in order to improve diagnostic and treatment algorithms in orange sensitized patients.…”
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A new 3D vision-based leaf rolling index (LRI) and its application as a stable indicator of cotton drought stress by Hangxing Huang, Jian Kang, Jinliang Chen, Risheng Ding, Hongna Lu, Siyu Wu, Shaozhong Kang

“…The leaf rolling index (LRI) is a phenotype with significant physiological implications under drought stress. However, research on the quantification of the cotton LRI is lacking, limiting its application in drought diagnosis, irrigation guidance, and physiological assessments. …”
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Mortality impact, risks, and benefits of general population screening for ovarian cancer: the UKCTOCS randomised controlled trial by Usha Menon, Aleksandra Gentry-Maharaj, Matthew Burnell, Andy Ryan, Jatinderpal K Kalsi, Naveena Singh, Anne Dawnay, Lesley Fallowfield, Alistair J McGuire, Stuart Campbell, Steven J Skates, Mahesh Parmar, Ian J Jacobs

“…Researchers at UCL were supported by the NIHR UCL Hospitals Biomedical Research Centre and by MRC Clinical Trials Unit at UCL core funding (MR_UU_12023). …”
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UAV-Enabled Diverse Data Collection via Integrated Sensing and Communication Functions Based on Deep Reinforcement Learning by Yaxi Liu, Xulong Li, Boxin He, Meng Gu, Wei Huangfu

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Movement Disorders and Smart Wrist Devices: A Comprehensive Study by Andrea Caroppo, Andrea Manni, Gabriele Rescio, Anna Maria Carluccio, Pietro Aleardo Siciliano, Alessandro Leone

“…This systematic review aims to synthesize research studies using smart wrist devices for a specific class of movement disorders. …”
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PPLIO: Plane-to-Plane LiDAR-Inertial Odometry With Multi-View Constraint in Real-Time by Hanyeol Lee, Jae Hyung Jung, Won Young Chung, Suyong Lee, Chan Gook Park

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Operational evaluation of the deployment of Malaria/CRP Duo and Dengue Duo rapid diagnostic tests for the management of febrile illness by village malaria workers in rural Cambodia by Marc T. Visser, Dysoley Lek, Bipin Adhikari, Arjun Chandna, Moul Vanna, Sam Ol, Voeurng Bunreth, Chan Davoeung, Yok Sovann, Dafne Umans, Yoel Lubell, Rusheng Chew, Richard J. Maude, Rob W. van der Pluijm, Rupam Tripura, Naomi Waithira, Siv Sovannaroth, Michèle van Vugt, Lorenz von Seidlein, Mavuto Mukaka, Arjen Dondorp, Thomas J. Peto, James J. Callery

“…Focus group discussions (FGDs) and competency assessments of combo-RDT usage were conducted with VMWs. The main objectives were to determine whether VMWs could perform these combo-RDTs correctly and follow management algorithms, and whether deployment had an impact on VMW consultation rates. …”
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Review of pedestrian trajectory prediction methods by Linhui LI, Bin ZHOU, Weiwei REN, Jing LIAN

“…With the breakthrough of deep learning technology and the proposal of large data sets, the accuracy of pedestrian trajectory prediction has become one of the research hotspots in the field of artificial intelligence.The technical classification and research status of pedestrian trajectory prediction were mainly reviewed.According to the different modeling methods, the existing methods were divided into shallow learning and deep learning based trajectory prediction algorithms, the advantages and disadvantages of representative algorithms in each type of method were analyzed and introduced.Then, the current mainstream public data sets were summarized, and the performance of mainstream trajectory prediction methods based on the data sets was compared.Finally, the challenges faced by the trajectory prediction technology and the development direction of future work were prospected.…”
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Digital signal processing application in nuclear spectroscopy by O. V. Zeynalova, Sh. S. Zeynalov, F.-J. Hambsch, S. Oberstedt

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Application of artificial intelligence technologies for the detection of early childhood caries by Priyanka A, Rishi Sreekumar, S Namasivaya Naveen

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Integrating population genetics and species distribution models to predict red seabream distribution under climate change by Binbin Shan, Wenhao Huang, Mengyi Zhang, Liangming Wang, Yan Liu, Changping Yan, Manting Liu, Qijian Xie, Jianwei Zou, Linlin Zhao, Dianrong Sun

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Dynamic Updating the Three-Way Regions for the Optimal Rules by Xiaohua Wei, Jiangang Ye, Jin Qian, Qiaowen Deng

“…Most of the research methods mainly mine all decision rules from the static data. …”
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Development of a deep learning system for predicting biochemical recurrence in prostate cancer by Lu Cao, Ruimin He, Ao Zhang, Lingmei Li, Wenfeng Cao, Ning Liu, Peisen Zhang

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Young and Inverse Young Inequalities on Euclidean Jordan Algebra by Chien-Hao Huang

“…This paper mainly focuses on in-depth research on inequalities on symmetric cones. …”
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On the Forward Scattering of Microwave Breast Imaging by Hoi-Shun Lui, Andreas Fhager, Mikael Persson

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A Learning Emotion Recognition Model Based on Feature Fusion of Photoplethysmography and Video Signal by Xiaoliang Zhu, Zili He, Chuanyong Wang, Zhicheng Dai, Liang Zhao

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Multi-channel HD-SDI video transmission system based on Hi3559 by Wang Yi, Zhang Yu, Qian Hongwen

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Enhanced NDVI prediction accuracy in complex geographic regions by integrating machine learning and climate data—a case study of Southwest basin by Zehui Zhou, Jiaxin Jin, Bin Yong, Weidong Huang, Lei Yu, Peiqi Yang, Dianchen Sun

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Enhancing forest biodiversity indicators in inventories through harmonized protocols by Moreno-Fernández D, Breidenbach J, Cañellas I, Chirici G, D’Amico G, Ferretti M, Giannetti F, Puliti S, Schnell S, Shackleton R, Skudnik M, Alberdi I

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Paraneoplastic Leser-Trélat Syndrome: Clinical Manifestations, Diagnosis and Treatment by T. A. Gaydina, A. S. Dvornikov, P. A. Skripkina

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