IMPROVEMENT OF EXPERT ANALYSIS FOR ROAD TRAFFIC ACCIDENTS USING COMPUTER SIMULATION PROGRAMS by S. A. Azemsha, V. N. Galushko, S. V. Skirkovski

“…The paper presents initial data and results of vehicle speed calculation on the basis of braking track length which have been obtained with the help of road traffic accident express analysis (a classical approach) and PC-Crash when additional influencing factors are taken into account. …”
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Four-Rooted Maxillary First Molars: A Systematic Review and Meta-Analysis by Gabriel Magnucki, Sven V. K. Mietling

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Planning a Clinical Development Programme for Radiopharmaceuticals: An Analysis of International Guidelines and Expertise by D. V. Goryachev, I. V. Lysikova, A. A. Chernaia, D. D. Kushnir

“…There is a need for guidelines that will set forth recommendations for planning comprehensive clinical development programmes and regulate data submission requirements for clinical trials of various types of RPs.AIM. …”
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Planet4Stereo: A Photogrammetric Open-Source Pipeline for Generating Digital Elevation Models for Glacier Change Monitoring Using Low-Cost PlanetScope Satellite Data by Melanie Elias, Steffen Isfort, Hans-Gerd Maas

“…The accuracy of the DEM of Bøverbrean was evaluated using high-precision LiDAR data, revealing varying deviations across terrain types, with higher errors in steep shadowed areas. …”
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Propionyl Carnitine Metabolic Profile: Optimizing the Newborn Screening Strategy Through Customized Cut-Offs by Maria Lucia Tommolini, Maria Concetta Cufaro, Silvia Valentinuzzi, Ilaria Cicalini, Mirco Zucchelli, Alberto Frisco, Simonetta Simonetti, Michela Perrone Donnorso, Sara Moccia, Ines Bucci, Maurizio Aricò, Vincenzo De Laurenzi, Luca Federici, Damiana Pieragostino, Claudia Rossi

“…Background: The advent of tandem mass spectrometry (MS/MS) had an essential role in the expansion of newborn screening (NBS) for different inborn errors of metabolism (IEMs). Nowadays, almost 50 IEMs are screened in Italy. …”
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Comparative analysis of supervised learning models for effluent quality prediction in wastewater treatment plants. by Liu Bo-Qi, Zhou Ding-Jie, Zhao Yang, Shi Long-Yu

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Comparative Analysis of Machine Learning Models for Predicting Contaminant Concentration Distributions in Hospital Wards by Chonggang Zhou, Yunfei Ding

“…Comparative analysis revealed that the CNN reduced the mean absolute percentage error (MAPE) by 58.18%, 33.47%, and 25.15% compared to MLR, SVR, and BPNN, respectively.…”
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A Passive Time Reversal Method with a Metamodel for Underwater Source Localization by Jiang Liu, Sheng Li

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The AI-Driven Transformation in New Materials Manufacturing and the Development of Intelligent Sports by Fang Wang, Shunnan Jiang, Jun Li

“…Artificial intelligence, with its strong cognitive abilities, learning capacity, large-scale data processing, and adaptability, can effectively enhance efficiency, reduce errors, and lower costs. …”
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A Meta-Analysis of Studies on Quality Assessment of Public Libraries Using the LibQUAL Model by Reza Karimi, Mohammad Asadzadehbaghi

“…Methodology: This research employed a library-based data collection approach and a meta-analysis technique for data analysis. …”
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Do indigenous people get left behind? An innovative methodology for measuring the unmeasurable economic conditions and poverty from the poorest region of Luzon, Philippines by Emmanuel A. Onsay, Jomar F. Rabajante

“…The study underscores the urgency of targeted policies and programs to address multidimensional deprivations faced by Indigenous communities, emphasizing the importance of data-driven approaches in improving welfare and promoting equitable socio-economic progress. …”
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Procedure for determining the cause of riverbank protection incidents in Vietnam by Pham Ngoc Thinh

“…The process is carried out in main steps, including establishing an investigation team with appropriate expertise, conducting field surveys, collecting documents related to design and construction, and performing technical analysis experiments. Each stage in the process plays an essential role in clarifying the factors leading to incidents, from direct causes such as excessive currents, to indirect causes such as design errors or incorrect construction. …”
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Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems by Xinyue Xu, Julian Wang

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From Patterns to Pills: How Informatics Is Shaping Medicinal Chemistry by Alexander Trachtenberg, Barak Akabayov

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Performance Analysis of DP-QAM-Based Optical OFDM PON Employing Optical Multicarrier by Ibrahim Luay, Tahreer Safa’a Mansour

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Use of artificial intelligence for gestational age estimation: a systematic review and meta-analysis by Sabahat Naz, Sahir Noorani, Syed Ali Jaffar Zaidi, Abdu R. Rahman, Saima Sattar, Jai K. Das, Jai K. Das, Zahra Hoodbhoy

“…On subgroup analysis based on 2D images, the mean error in GA estimation in the first trimester was 7.00 days (95% CI: 6.08, 7.92), 2.35 days (95% CI: 1.03, 3.67) in the second, and 4.30 days (95% CI: 4.10, 4.50) in the third trimester. …”
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Experience of neuronet diagnosis and prediction of peptic ulcer disease by results of risk factors’ analysis by V. A. Lazarenko, A. E. Antonov, V. K. Markapuram, K. Awad

“…To develop and verify a method for diagnosis of peptic ulcer based on neural network analysis of data on patients’ risk factors.Materials and methods. …”
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Regression analysis and artificial neural networks for predicting pine species volume in community forests by Wenceslao Santiago-García

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Deep Federated Learning Based Convergence Analysis in Relaying-Aided MEC-IoT Networks by Jun Liu, Tao Cui, Lin Zhang, Yuwei Zhang, Jing Wang, Chao Li, Kai Chen, Huang Huang, Xuan Zhou, Wei Zhou, Sun Li, Suili Feng, Dongqing Xie, Yun Li, Haige Xiang, Kaimeno Dube, Abbarbas Muazu, Nakilavai Rono, Wen Zhou, Fusheng Zhu, Liming Chen, Dan Deng, Zhao Wang, Yajuan Tang

“…We finally present some results to show that the analysis of the convergence error is effective. The work in this paper can provide some theoretical foundation for deep federated learning and computing networks.…”
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Measuring the Unmeasurable: Decomposing Multidimensional Rural Poverty and Promoting Economic Development in the Poorest Region of Luzon, Philippines by Emmanuel Azcarraga Onsay, Jomar Fajardo Rabajante

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