Modeling of masonry infilled RC frames with different aspect ratios using plastic hinge and equivalent strut by Ahmed M. El-Kholy, Sayed M. Sayed, Mohamed M. El-Assaly, Mohamed K. Ismail

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Designing Channel Attention Fully Convolutional Networks with Neural Architecture Search for Customer Socio-Demographic Information Identification Using Smart Meter Data by Zhirui Luo, Qingqing Li, Ruobin Qi, Jun Zheng

“…<b>Results:</b> The performance of the proposed method was evaluated and compared with a set of machine learning and deep learning baseline methods using a smart meter dataset widely used in this research area. Our results show that the deep neural network architectures designed automatically by our proposed method significantly outperform all baseline methods in addressing the socio-demographic questions investigated in our study.…”
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An Automated Approach for Epilepsy Detection Based on Tunable Q-Wavelet and Firefly Feature Selection Algorithm by Ahmed I. Sharaf, Mohamed Abu El-Soud, Ibrahim M. El-Henawy

“…A random forest classifier is trained for the classification and prediction of the seizures and seizure-free signals. Afterward, a dataset from the University of Bonn, Germany, is used for benchmarking and evaluation. …”
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Analisa Eksperimental Pengujian Turbin Angin Propeller Tiga Sudu Horizontal Axis by Islahuddin - Islahuddin, Sanny Ardhy, Meiki Eru Putra

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Simultaneous determination of ten nucleosides and bases in Ganoderma by micellar electrokinetic chromatography by Feiya Sheng, Songsong Wang, Xiao Luo, Jianbo Xiao, Linfeng Hu, Peng Li

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Flexibly funding WHO? An analysis of its donors’ voluntary contributions by Andrew Harmer, Jonathan Kennedy, Obichukwu Iwunna

“…In the past few years, the WHO Secretariat has pushed for donors to increase the amount of flexible funding they provide.Methods This paper aims to add to the literature on WHO financing by constructing and analysing a dataset based on figures extracted from WHO documents for the period 2010–21. …”
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Fabrication of Hollow Needle Tips with Nanoholes by Plasma Maskless Processing and Calculation and Detection of Complex Surface Edges by Zuocai Dai, Sha Zhou, Tongguang Yang, Yanpeng Wang

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A Multiscale Approach for Free-Float Bike-Sharing Electronic Fence Location Planning: A Case Study of Shenzhen City by Zhonghua Wei, Houqiang Ma, Yunxuan Li

“…A case study is conducted using a local area free-float bike-sharing dataset from Shenzhen city to validate the effectiveness of the proposed method. …”
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Quantification of Dynamic Excitation Potential of Pedestrian Population Crossing Footbridges by Stana Žcaronivanović, Aleksandar Pavić

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Lessons learned in transition: a bibliometric analysis of educational management in school transfer to provincial administrative organizations during decentralization by Jiraporn Chano, Bahtiar Mohamad, Denchai Prabjandee, Rungthip Singporn, Melinda Tuaypar

“…The primary aim is to identify key themes, trends, and influential works that shape the discourse surrounding this policy shift. Using a dataset of 190 publications and authors’ keyword co-occurrence data, the study examines trends, patterns, and knowledge gaps from 2018 to 2024. …”
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A School-Based Exercise Intervention Program Increases Muscle Strength in Prepubertal Boys by Susanna Stenevi-Lundgren, Robin M. Daly, Magnus K. Karlsson

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Influence of Zn in the CdS Crystal Lattice and Its Impact over the Catalytic Activity in the H2 Production by Luis Fernando Morelos-Medina, Rufino Nava-Mendoza, Carlos Martín Cortés-Romero, Rodrigo Rafael Velázquez-Castillo, J. Santos-Cruz, María de los Ángeles Cuán-Hernandez

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Development and validation of an analytical method for detecting chlorantraniliprole residues in fresh tea leaves by Tengfei Liu, Minghui Dong, Fengjie Zhou, Daifeng Yang, Xueming Zhang

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Fast Object Detection and Localization in Ultrawide Swath Rotating Scan Remote Sensing Images by Zhiming Deng, Tianyu Zhang, Cheng Wei, Xibin Cao

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Cell adhesion molecules involved in the leukocyte recruitment induced by venom of the snake Bothrops jararaca by Stella R. Zamuner, Catarina F. P. Teixeira

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Association between Intrapancreatic Fat Deposition and Lower High-Density Lipoprotein Cholesterol in Individuals with Newly Diagnosed T2DM by Jianliang Wang, Qingyun Cai, Xiaojuan Wu, Jiaxuan Wang, Xiaona Chang, Xiaoyu Ding, Jia Liu, Guang Wang

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Specialty palliative care use among cancer patients: A population-based study. by J Brian Cassel, Donna McClish, David Buxton, Leanne Yanni, Seth Roberts, Nevena Skoro, Peter May, Egidio Del Fabbro, Danielle Noreika

“…<h4>Measurements</h4>In this cancer decedent cohort study, data were acquired and linked from the state-wide cancer registry; state-wide hospital discharge dataset; and local SPC providers.<h4>Results</h4>12,030 individuals with cancer were included in this study; only 2,958 (24.6%) used SPC. …”
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GPS TRAJECTORY CLUSTERING FOR SPATIO – TEMPORAL BEHAVIOR ANALYSIS: THE APPLICATION OF HEATMAP TECHNIQUES AND SPATIO- TEMPORAL DUAL GRAPH NEURAL NETWORK by Mais Muhanad, Wadhah R.Baiee

“…The suggested method has been shown to identify relevant clusters effectively and reveal noteworthy spatio-temporal characteristics through experimental analysis on real-world GPS datasets. The research utilizes a dataset comprising 182 users for analysis. …”
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A Novel Hybrid Machine Learning Framework for Wind Speed Prediction by Rhafes Mohamed Yassine, Moussaoui Omar, Raboaca Maria Simona, Mihaltan Traian Candin

“…The performance of the models is evaluated using the R² score, Mean Absolute Error, and Root Mean Squared Error. The dataset for this study was generated from a numerical simulation conducted at a location with a latitude of 22.55° N and a longitude of -14.33° E. …”
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QuantumNet: An enhanced diabetic retinopathy detection model using classical deep learning-quantum transfer learning by Manish Bali, Ved Prakash Mishra, Anuradha Yenkikar, Diptee Chikmurge

“…The method is as follows: • Evaluate three classical deep learning models—CNN, ResNet50, and MobileNetV2—using the APTOS 2019 blindness detection dataset on Kaggle to identify the best-performing model for integration. • QuantumNet combines the best-performing classical DL model for feature extraction with a variational quantum classifier, leveraging quantum transfer learning for enhanced diagnostics, validated statistically and on Google Cirq using standard metrics. • QuantumNet achieves 94.11 % accuracy, surpassing classical DL models and prior research by 11.93 percentage points, demonstrating its potential for accurate, efficient DR detection and broader medical imaging applications.…”
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