A Usability Pilot Study of a Sensor-Guided Interactive System for Dexterity Training in Parkinson’s Disease by Nic Krummenacher, Stephan M. Gerber, Manuela Pastore-Wapp, Michael Single, Stephan Bohlhalter, Tobias Nef, Tim Vanbellingen

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A Practical Implementation of Post-Quantum Cryptography for Secure Wireless Communication by Babatunde Ojetunde, Takuya Kurihara, Kazuto Yano, Toshikazu Sakano, Hiroyuki Yokoyama

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Investigating immune cell infiltration and gene expression features in pterygium pathogenesis by Ji Yang, Ya-Nan Chen, Chen-Yan Fang, Yan Li, Hong-Qin Ke, Rui-Qin Guo, Ping Xiang, Yun-Ling Xiao, Li-Wei Zhang, Hai Liu

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Population characteristics of hostility among the population of a medium urban Siberian city: age and sex aspects by M. M. Kayumova, M. Yu. Akimov, V. V. Gafarov

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Can Stereoscopic Density Replace Planar Density for Forest Aboveground Biomass Estimation? A Case Study Using Airborne LiDAR and Landsat Data in Daxing’anling, China by Xuan Mu, Dan Zhao, Zhaoju Zheng, Cong Xu, Jinchen Wu, Ping Zhao, Xiaomin Li, Yong Pang, Yujin Zhao, Tianyu An, Yuan Zeng, Bingfang Wu

“…Accurate regional-scale AGB estimation is crucial for advancing research on global climate change, ecosystem carbon cycles, and ecological conservation. …”
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Enhancing Regional Topsoil Total Nitrogen Mapping Through Differentiated Fusion of Ground Hyperspectral Data and Satellite Images Under Low Vegetation Cover by Rongpeng He, Jihua Meng, Yanfei Du, Zhenxin Lin, Xinyan You, Xinyu Gao

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Innovative AI Solutions for Water-Efficient Smart Irrigation in Agriculture by Saha Laboni, Dubey Ahilya

“…Their performance will be validated through real field trials in the real world, and they will be compared with traditional practices. The research will also integrate IoT sensors and automated control system to automate irrigation scheduling and distribution, and increase the precision of irrigation. …”
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Magnetic resonance imaging relevance in diagnosis and prognosis of early postoperative period following pancreatic cancer surgical treatment by E. N. Kolesnikov, D. Ya. Iozefi, O. I. Kit, A. Yu. Maksimov

“…Improvement of the prognostic outcomes for the pancreatic fistula development in surgical treatment for pancreatic cancer by implementation of new diagnostic algorithms for magnetic resonance imaging (MRI) assessment of supposed pancreatic stump.Materials and methods. …”
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Causal estimation of the relationship between reproductive performance and the fecal bacteriome in cattle by Yutaka Taguchi, Haruki Yamano, Yudai Inabu, Hirokuni Miyamoto, Koki Hayasaki, Noriyuki Maeda, Yoshiro Kanmera, Seiji Yamasaki, Noboru Ota, Kenji Mukawa, Atsushi Kurotani, Shigeharu Moriya, Teruno Nakaguma, Chitose Ishii, Makiko Matsuura, Tetsuji Etoh, Yuji Shiotsuka, Ryoichi Fujino, Motoaki Udagawa, Satoshi Wada, Jun Kikuchi, Hiroshi Ohno, Hideyuki Takahashi

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Parametric BIM and Machine Learning for Solar Radiation Prediction in Smart Growth Urban Developments by Seongchan Kim, Jong Bum Kim

“…For ML model creation, four algorithms were compared and tested with several data diagnosis techniques. …”
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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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Optimal Configuration of Distributed Energy Storage in Distribution Networks Based on Moment Difference Analysis by Donglei SUN, Yao WANG, Huiwen ZHANG, Rui LIU, Bingke SHI

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Validation of Self-reported Medical Condition in the Taiwan Biobank by Chi-Shin Wu, Le-Yin Hsu, Chen-Yang Shen, Wei J. Chen, Shi-Heng Wang

“…These findings underscore the need for further investigation, especially when these variables are crucial to research objectives. Integrating complementary databases, such as clinical diagnoses, prescription records, and medical procedures, can enhance accuracy through customized algorithms based on disease categories and participant characteristics and optimize sensitivity or positive predictive values to align with specific research objectives.…”
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A gene signature related to programmed cell death to predict immunotherapy response and prognosis in colon adenocarcinoma by Lei Zheng, Jia Lu, Dalu Kong, Yang Zhan

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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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A Contrastive-Augmented Memory Network for Anti-UAV Tracking in TIR Videos by Ziming Wang, Yuxin Hu, Jianwei Yang, Guangyao Zhou, Fangjian Liu, Yuhan Liu

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Instances for the problem of pre-positioning emergency supplies by Renata Turkeš, Kenneth Sörensen

“…In addition, the authors developed a tool to algorithmically generate arbitrarily many diverse random instances of any size. …”
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Will Artificial Intelligence Replace Physicians or Augment Their Capabilities? by Sara Rahmati Roodsari, Alireza Zali, Mohammad Rahmati-Roodsari, Behina Forouzanmehr

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Repeatability of carbon dioxide and methane emissions and oxygen consumption by forage-consuming beef heifers by M.D. MacNeil, R.C. Waterman

“…Gas exchange by ruminant livestock is deemed as a contributor to climate change. As such, research to reduce the production of greenhouse gasses is an emerging need. …”
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AI-powered literature search: some observations and concerns by Farooq Azam Rathore, Fareeha Farooq

“…It remains unclear for some search engines whether articles are chosen and recommended based on citation counts, impact factors, or other criteria. The algorithms behind AI tools may inherently approve of a certain type of content or styles of writing, which can affect the summaries produced.7 This data and algorithmic bias may be problematic for seasoned researchers who need to understand the basis for the information being generated by these AI tools. …”
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