The Modulation of Meteorological Parameters on Surface PM2.5 and O3 Concentrations in Guangzhou, China by Qiaoli Bu, Yingying Hong, Haobo Tan, Li Liu, Chunlin Wang, Jianjun Zhu, Pakwai Chan, Chen Chen

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New insight into the controlling factors of differences in carbonate buried-hills driven by tectonic activity: a case study of the Weixinan Sag, Beibuwan Basin, China by Yanying Li, Kongyou Wu, Jia Zhong, Yannan Du, Jinyou Wang

“…This study provides significant guidance for the development and reservoir prediction for similarly carbonate buried karst hills.…”
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Genome-wide association study of the fatty liver index in the Taiwanese population reveals shared and population-specific genetic risk factors across ethnicities by Pei Pei Lau, Chun-Yu Wei, Min-Rou Lin, Wan-Hsuan Chou, Yu-Jui Yvonne Wan, Wei-Chiao Chang

“…These findings support the utility of the FLI for FLD prediction, provide new genetic insights, and reveal the common genetic pathways of FLD across two ethnic groups. …”
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Key oncogenes and candidate drugs for hepatitis-B-driven hepatocellular carcinoma progression by Liqin Ruan, Ningbo Fang, Xinhua Zhao, Weili Chen, Zhaoping Wu, Xiaoyong Wu

“…Using the 8 HB-LC genes, we constructed prognostic models for survival prediction of HBV positive patients with LIHC and performed enrichment analysis, interaction analysis, immune infiltration analysis, and potential drug digging from the GTRP and GDSC databases. …”
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Deep learning and radiomics for gastric cancer serosal invasion: automated segmentation and multi-machine learning from two centers by Hui Shang, Tao Feng, Dong Han, Fengying Liang, Bin Zhao, Lihang Xu, Zhendong Cao

“…The clinical features, radiomic features, and deep learning features were organized and integrated, and five machine learning methods were employed to develop 15 predictive models. Ultimately, the model exhibiting superior performance was presented in the form of a nomogram. …”
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The Kerlan-Jobe Orthopaedic Clinic Shoulder & Elbow Score used as a Patient-Reported Outcome Measure for the Youth and High School Aged Baseball Athlete by Ryan Monti, Alicia Fernandez-Fernandez

“… # Hypothesis/Purpose To (1) determine if the scores on the KJOC are different between those throwing with and without pain in male youth and high school-aged baseball athletes, and (2) establish a prediction score for whether a young baseball athlete is throwing with symptoms…”
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Comparing Assisted Reproductive Outcomes in Women with Different Polycystic Ovary Syndrome Phenotypes Undergoing Frozen Embryo Transfer by Anubhuti Patel, Anviti Saraf, Vyshnavi A. Rao, Kamini A. Rao

“…Background: Patients with polycystic ovarian syndrome (PCOS) have unique characteristics depending on its phenotype. Therefore, prediction of controlled ovarian stimulation (COS) response and assisted reproductive technique (ART) outcome in these becomes challenging. …”
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Integration of field data and application of machine learning methods to assess the condition of the near-wellbore zone of carbonate reservoirs by Andrey V. Soromotin, Dmitriy A. Martyushev

“…To develop a methodology for increasing the accuracy of the near-wellbore zone permeability prediction of carbonate reservoirs based on the use of machine learning methods. …”
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Real-Time Heterogeneous Collaborative Perception in Edge-Enabled Vehicular Environments by Samuel Thornton, Nithin Santhanam, Rajeev Chhajer, Sujit Dey

“…To address these challenges, we propose a Heterogeneous Adaptive Collaborative Perception (HAdCoP) framework which utilizes a Context-aware Latency Prediction Network (CaLPeN) to intelligently select which vehicles should transmit their sensor data, the specific individual and collaborative perception tasks, and the amount of computational offloading that should be utilized given information about the current state of the environment. …”
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Fatigue property evaluation of 7075/6061 aluminum alloy TIG welded overlap joints by LIAO Xiangyun, WANG Ruijie, LIU Guoshou, ZHAO Pinglin, CHANG Yaguang, WANG Zhongde

“…After correcting for plate thickness, the prediction errors were within a factor of two in the low-cycle fatigue range. …”
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Using multiomic integration to improve blood biomarkers of major depressive disorder: a case-control studyResearch in context by Amazigh Mokhtari, El Chérif Ibrahim, Arnaud Gloaguen, Claire-Cécile Barrot, David Cohen, Margot Derouin, Hortense Vachon, Guillaume Charbonnier, Béatrice Loriod, Charles Decraene, Ipek Yalcin, Cynthia Marie-Claire, Bruno Etain, Raoul Belzeaux, Andrée Delahaye-Duriez, Pierre-Eric Lutz

“…Performance of MDD prediction was systematically compared across 6 methods for dimensionality reduction, and for every combination of 1, 2 or 3 types of molecular data. …”
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Role of thermal and dynamical subdaily perturbations over the Tibetan Plateau in 30-day extended-range forecast of East Asian precipitation in early summer by Bian He, Xinyu He, Yimin Liu, Guoxiong Wu, Qing Bao, Wenting Hu, Chen Sheng, Shijian Feng

“…In this study, we investigated the role of subdaily thermodynamic forcing across the TP in generating 30-day predictions of precipitation in East Asia by conducting a series of hindcast experiments. …”
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Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook by Bassam Abdul Rasool Hassan, Ali Haider Mohammed, Souheil Hallit, Souheil Hallit, Souheil Hallit, Diana Malaeb, Hassan Hosseini, Hassan Hosseini

“…BackgroundArtificial intelligence (AI) has emerged as a transformative tool in oncology, offering promising applications in chemotherapy development, cancer diagnosis, and predicting chemotherapy response. Despite its potential, debates persist regarding the predictive accuracy of AI technologies, particularly machine learning (ML) and deep learning (DL).ObjectiveThis review aims to explore the role of AI in forecasting outcomes related to chemotherapy development, cancer diagnosis, and treatment response, synthesizing current advancements and identifying critical gaps in the field.MethodsA comprehensive literature search was conducted across PubMed, Embase, Web of Science, and Cochrane databases up to 2023. …”
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Efficacy of Hymecromone in Post-Cholecystectomy Patients by A V. Okhlobystin, A. К. Ufimtseva, M. A. Tatarkina, O. Z. Okhlobystina, V. T. Ivashkin

“…Transabdominal ultrasound may be applied as a reliable test for both prediction of treatment efficacy and to monitor patients state during treatment course.…”
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Comparative study of IoT- and AI-based computing disease detection approaches by Wasiur Rhmann, Jalaluddin Khan, Ghufran Ahmad Khan, Zubair Ashraf, Babita Pandey, Mohammad Ahmar Khan, Ashraf Ali, Amaan Ishrat, Abdulrahman Abdullah Alghamdi, Bilal Ahamad, Mohammad Khaja Shaik

“…This study can be helpful to researchers interested in developing better IoT-based disease detection and prediction systems based on deep learning using hybrid algorithms.…”
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Automatic three-dimensional reconstruction of the oesophagus in achalasia patients undergoing POEM: an innovative approach for evaluating treatment outcomes by Alanna Ebigbo, Helmut Messmann, Vivian Grünherz, Miriam Elia, Alessandra Brunner, Tamara Krafft, Leo Pöller, Pia Schneider, Fabian Stieler, Bernhard Bauer, Anna Muzalyova, Sandra Nagl

“…We present an innovative approach for treatment response prediction based on an automatic three-dimensional (3-D) reconstruction of the tubular oesophagus (TE) and the lower oesophageal sphincter (LES) in patients undergoing POEM for achalasia.Methods A software was developed, integrating data from high-resolution manometry, timed barium oesophagogram and endoscopic images to automatically generate 3-D reconstructions of the TE and LES. …”
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Development of a respiratory virus risk model with environmental data based on interpretable machine learning methods by Shuting Shi, Haowen Lin, Leiming Jiang, Zhiqi Zeng, ChuiXu Lin, Pei Li, Yinghua Li, Zifeng Yang

“…This study aimed to develop a nationwide respiratory virus infection risk prediction model through machine learning approach. …”
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Network pharmacology and in silico investigation into the therapeutic potential of phytoconstituents of Peucedanum ostruthium as anti-tubercular agents by Neeru Bhanwala, Raunak Katiyar, Sumit Kumar, Ashok K. Datusalia, Gopal L. Khatik

“…The phytoconstituents of P. ostruthium were studied using Swiss Target Prediction to determine the target genes. The DisGeNET datasets were used to extract genes and variations associated with TB. …”
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Investigation of the influence of the heterogeneous structure of concrete on its strength by V.M. Volchuk, M.A. Kotov, Ye G. Plakhtii, O.A. Tymoshenko, O.H. Zinkevych

“…The proposed approach can be interpreted as an express method of predicting the strength of concrete mixture, which is implemented without the use of special equipment. …”
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Traffic flow modelling of vehicles on a six lane freeway: Comparative analysis of improved group method of data handling and artificial neural network model by Isaac Oyeyemi Olayode, Alessandro Severino, Frimpong Justice Alex, Elmira Jamei

“…The primary objective of this study was to evaluate the predictive accuracy and efficacy of both models in replicating complex traffic patterns and to provide insights into their suitability for real-time traffic flow applications. …”
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