Observation Characteristics and Synoptic Mechanisms of Typhoon Lekima Extreme Rainfall in 2019 by He Lifu, Chen Shuang, Guo Yunqian

“…Observation characteristics of extreme heavy rainfall with its thermodynamic structure evolution and water vapor transmission of super-typhoon Lekima in 2019 is comprehensively diagnosed and analyzed, in terms of automatic weather station data, FY-2G TBB and the microwave hygrometer channel inversion data of FY-3D MWHSⅡ, radar networking data and NCEP FNL 1° by 1° analysis data. …”
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Designing an entrepreneurial ecosystem model in a university with a knowledge-based approach by Nahid Mir, Amin Rahimi Kia, Mehry Daraei

“…Data analysis was done using ATLAS TI software in the qualitative part, and partial least squares method in the SPSS and PLS software in the quantitative part, and factor analysis method was also used in data analysis. …”
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Revolutionizing total hip arthroplasty: The role of artificial intelligence and machine learning by Umile Giuseppe Longo, Sergio De Salvatore, Alice Piccolomini, Nathan Samuel Ullman, Giuseppe Salvatore, Margaux D'Hooghe, Maristella Saccomanno, Kristian Samuelsson, Rocco Papalia, Ayoosh Pareek

“…Abstract Purpose There has been substantial growth in the literature describing the effectiveness of artificial intelligence (AI) and machine learning (ML) applications in total hip arthroplasty (THA); these models have shown the potential to predict post‐operative outcomes using algorithmic analysis of acquired data and can ultimately optimize clinical decision‐making while reducing time, cost and complexity. …”
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Grape vine (Vitis vinifera) yield prediction using optimized weighted ensemble machine learning approach by Nobin Chandra Paul, Pratapsingh S. Khapte, Navyasree Ponnaganti, Sushil S. Changan, Sangram B. Chavan, K. Ravi Kumar, Dhananjay D. Nangare, K. Sammi Reddy

“…A Minimum Data Set (MDS) selection was performed using Principal Component Analysis (PCA), followed by data normalization to enhance model efficiency. …”
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CAPSE-ViT: A Lightweight Framework for Underwater Acoustic Vessel Classification Using Coherent Spectral Estimation and Modified Vision Transformer by Najamuddin NAJAMUDDIN, Usman Ullah SHEIKH, Ahmad Zuri SHA’AMERI

“…Further, the features are processed via a vision transformer (ViT) network. This method enables the model to learn more complex relationships and patterns within the data, thereby improving the classification performance. …”
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Laser-Mediated Hemostasis for Older Patients Receiving Routine Dental Treatment by Suwat Tanya, Saengsome Prajaneh, Piyachat Patcharanuchat, Sajee Sattayut

“…A single researcher performed data collection. Before statistical analysis, data verification and clinical assessment were conducted by the operators and researcher. …”
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Fire and Smoke Detection Based on Improved YOLOV11 by Zhipeng Xue, Lingyun Kong, Haiyang Wu, Jiale Chen

“…In contrast, deep learning-based methods can automatically learn deep features in data and have higher accuracy and stronger generalization ability. …”
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Deep learning-based encryption scheme for medical images using DCGAN and virtual planet domain by Manish Kumar, Aneesh Sreevallabh Chivukula, Gunjan Barua

“…This paper presents a novel encryption technique that integrates the Deep Convolutional Generative Adversarial Networks (DCGAN) and Virtual Planet Domain (VPD) approach to enhance the protection of medical images. …”
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Associations among health-related quality of life, mental resilience and social support in patients early after surgery for osteoporotic vertebral compression fractures: a longitud... by Shuo Yang, Anqi Wang, Di Tang, Cui Wu, Jianghan Zhao, Hai Qin Fang, Liying Jiang

“…Secondary end-point outcomes included demographic data and disease-related information.Results The baseline data indicated that the average age of participants was 69.6 years, ranging from 53 to 92 years, with females accounting for 69.0%. …”
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Predicting risky driving behavior with classification algorithms: results from a large-scale field-trial and simulator experiment by Thodoris Garefalakis, Eva Michelaraki, Stella Roussou, Christos Katrakazas, Tom Brijs, George Yannis

“…This study aimed to analyze different classification techniques and examine their ability to identify dangerous driving behavior based on a dual-approach study. The analysis was based on the investigation of important risk factors such as average speed, harsh acceleration, harsh braking, headway, overtaking, distraction (i.e., mobile phone use), and fatigue. …”
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Shale volume estimation using machine learning methods from the southwestern fields of Iran by Parirokh Ebrahimi, Ali Ranjbar, Yousef Kazemzadeh, Ali Akbari

“…This study aims to compare the performance of several advanced ML models—namely, Artificial Neural Networks (ANNs), Bayesian Algorithm (BA), Least Squares Boosting (Lsboost), Linear Regression (LR), Random Forest (RF), and Support Vector Machine (SVM)—for shale volume estimation using well log data. …”
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Adaptive weighted dual MAML: Proposing a novel method for the automated diagnosis of partial sleep deprivation. by Soraya Khanmohmmadi, Toktam Khatibi, Golnaz Tajeddin, Elham Akhondzadeh, Amir Shojaee

“…Although convolutional neural networks (CNNs) are commonly used for detecting these conditions, their performance is inadequate when applied to our heterogeneous and limited-scale EEG data. …”
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Tourism product consumers clustering for developing the tailored marketing mix by Nataliya Chukhray, Kateryna Yarmola, Andrii Chukhrai

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Examining the Impact of Disasters on Depression among Older Adults: Insights from the Longitudinal Ageing Study in India (LASI), 2017–18 by Neha Shri, Sumit Narayan Dwivedi, Gayatri Khanal, Saurabh Singh

“…Methods This study utilized data from the Longitudinal Ageing Study in India (LASI) Wave-1, which includes individual aged 45 and older. …”
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Gene expression in uterine leiomyoma from tumors likely to be growing (from black women over 35) and tumors likely to be non-growing (from white women over 35). by Barbara J Davis, John I Risinger, Gadisetti V R Chandramouli, Pierre R Bushel, Donna Day Baird, Shyamal D Peddada

“…Genes that were found significant in pairwise comparisons were further analyzed for canonical pathways, networks and biological functions using the Ingenuity Pathway Analysis (IPA) software. …”
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Qualitative enhancement in machining efficiency of sncm8 alloy through hybrid ann-taguchi optimization approach by Sharad Chaudhari, Neeraj Sunheriya, Jayant Giri, Mohammad Kanan, Rajkumar Chadge, T. Sathish

“…The investigated output metrics are MRR, SR, and dimensional accuracy. From the analysis, it is possible to increase the MRR by 20%, from an average of 1.0 g/min to 1.2 g/min, and reduce SR by 15%, from 2.0 µm to 1.7 µm. …”
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Deep Learning Segmentation Techniques for Atherosclerotic Plaque on Ultrasound Imaging: A Systematic Review by Laura De Rosa, Serena L’Abbate, Eduarda Mota da Silva, Mauro Andretta, Elisabetta Bianchini, Vincenzo Gemignani, Claudia Kusmic, Francesco Faita

“…DL architectures, such as UNet and attention-based networks, were commonly used, achieving high segmentation accuracy with average Dice similarity coefficients of around 84%. …”
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Trends in progress test performance of medical students at a university in Peru. by Franco Romaní-Romaní, César Gutiérrez

“…<h4>Methods</h4>We conducted a longitudinal analysis using data from PTs administered annually between 2017 and 2024. …”
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MRTMD: A Multi-Resolution Dataset for Evaluating Object Detection in Traffic Monitoring Systems by Mark Bugeja, Matthias Bartolo, Matthew Montebello, Dylan Seychell

“…We evaluate leading object detection models&#x2014;YOLOv9, YOLOv8, YOLOv7, Faster R-CNN, FCOS, SSD, and RT-DETR&#x2014;across varied resolutions. Our analysis focuses on mean Average Precision (mAP), recall, and processing time. …”
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An intelligent assessment of factors affecting new generations in the era of the internet and new media using intuitionistic hesitant fuzzy sugeno-weber aggregation operators by Yuxin Li, Yao Liu, Dan Zhao

“…Abstract The network of millions of linked devices that exchange resources is known as the Internet. …”
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