A New Version of Weighted Weibull Distribution: Modelling to COVID-19 Data by Amani Abdullah Alahmadi, Mohammed Alqawba, Waleed Almutiry, A. W. Shawki, Sharifah Alrajhi, Sanaa Al-Marzouki, Mohammed Elgarhy

“…Also, the hazard rate function can be increasing, decreasing, up-side-down, and J-shaped. Diverse features of the novel are computed. These qualities include moments, incomplete moments, and Lorenz and Bonferroni curves and quantiles, as well as entropy and order statistics. …”
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Pork-YOLO: Automated collection of pork quality traits by Jiacheng Wei, Xi Tang, Jinxiu Liu, Ting Luo, Yan Wu, Junhui Duan, Shijun Xiao, Zhiyan Zhang

“…Next, the StarNet backbone was integrated, employing star-shaped operations for high-dimensional feature representation while maintaining computational efficiency, along with a hierarchical convolutional structure to boost performance. …”
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Balancing complexity and accuracy for defect detection on filters with an improved RT-DETR by Maoyuan Zhang, Xiaojuan Wei, Guojun Liu, Mengxu Chen, Chunxia Zhao, Yingxiao Liu, Zhikang Bao, Yunfeng Guo, Run An, Pengcheng Zhao

“…Furthermore, the model reduces parameter count by 6.9% and computational load by 13.1%, demonstrating its improved efficiency. …”
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A Multimodal Pain Sentiment Analysis System Using Ensembled Deep Learning Approaches for IoT-Enabled Healthcare Framework by Anay Ghosh, Saiyed Umer, Bibhas Chandra Dhara, G. G. Md. Nawaz Ali

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Dose-related adaptive reconstruction of DMN in isoflurane administration: a study in the rat by Fengru Guo, Yuqin Li, Zhaoxin Jian, Yan Cui, Wenhui Gong, Airui Li, Wei Jing, Peng Xu, Ke Chen, Daqing Guo, Dezhong Yao, Yang Xia

“…Relative power spectral density, static functional connectivity (FC), fuzzy entropy of dynamic FC, and topological features were computed from the data. Results The results showed that adaptive reconstruction was induced by isoflurane, exhibiting reduced static and stable long-range FC, and altered topological features. …”
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Identification of leaves of wild Ussurian Pear (Pyrus ussuriensis) based on YOLOv10n-MCS by Niman Li, Niman Li, Xingguang Dong, Yongqing Wu, Luming Tian, Ying Zhang, Hongliang Huo, Dan Qi, Jiayu Xu, Chao Liu, Zhiyan Chen, Yulu Mou

“…Accurately and efficiently identifying wild Ussurian Pear accession is a prerequisite for germplasm conservation and utilization.MethodsWe proposed YOLOv10n-MCS, an improved model featuring: (1) Mixed Local Channel Attention (MLCA) module for enhanced feature extraction, (2) Simplified Spatial Pyramid Pooling-Fast (SimSPPF) for multi-scale feature capture, and (3) C2f_SCConv backbone to reduce computational redundancy. …”
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Modelling earthquake interevent times using mixtures of exponential distributions by Athanase Polymenis

“…However, most of these distributions are associated with complex numerical computations for parameter estimation, regardless of the statistical method of estimation, thus making their practical use quite challenging. …”
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Conventional Construction and 3D Printing: A Comparison Study on Material Cost in Jordan by Rawan Allouzi, Wael Al-Azhari, Rabab Allouzi

“…Then, the architectural, economical, environmental, and structural features of 3D printing are introduced. Examples of 3D printed structures are presented, and the construction challenges facing Jordan, that encouraged this study, are stated. …”
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Development of the index of idiopathic lobular panniculitis activity on the basis of the clinical and laboratory characteristics of a series of clinical observations (the authors'... by O. N. Egorova, B. S. Belov, S. I. Glukhova, S. G. Radenska-Lopovok

“…There is a need for further investigations and maybe a search for new parameters of ILP activity.…”
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Dataset of SCAPS-1D simulated halide perovskite solar cells with SHAP and machine learning-based PCE optimizationZenodo by Ivan E. Novoselov, Alexander M. Gvozdev, Andrey A. Smirnov, Ivan S. Zhidkov

“…Additional files include detailed material databases featuring physical properties of electron and hole transport layers—such as band gap energies, electron affinities, dielectric permittivity, and carrier mobilities—organized in separate spreadsheets.Moreover, the repository offers a pre-trained CatBoost machine learning to predict the solar cell efficiency, along with a Jupyter Notebook that outlines the data preprocessing, machine learning workflow, and feature importance analysis via SHAP values. …”
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Enhancing heart disease classification with M2MASC and CNN-BiLSTM integration for improved accuracy by Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Sultan Algarni

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Statistical analysis of the formation mechanism of concepts-representations in organizational and technical systems by Alexander A. Solodov

“…Within the framework of the computer paradigm in organizational and technical systems, such obvious principles as digital representation of information and its processing with the use of algorithms implemented by computing means are used. …”
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Robust Finite-Time Trajectory Tracking Control of Quadrotor Aircraft via Terminal Sliding Mode-Based Active Antidisturbance Approach: A PIL Experiment by Omar Mechali, Jamshed Iqbal, Xiaomei Xie, Limei Xu, Abdelkader Senouci

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Tailoring neuromuscular dynamics: A modeling framework for realistic sEMG simulation. by Alvaro Costa-Garcia, Shingo Shimoda, Akihiko Murai

“…This study introduces an advanced computational model for simulating surface electromyography (sEMG) signals during muscle contractions. …”
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Analytical Investigation of Magnetohydrodynamic Non-Newtonian Type Casson Nanofluid Flow past a Porous Channel with Periodic Body Acceleration by N. Thamaraikannan, S. Karthikeyan, Dinesh Kumar Chaudhary, Safak Kayikci

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Automatic body condition scoring system for dairy cows in group state based on improved YOLOv5 and video analysis by Jingwen Li, Pengbo Zeng, Shuai Yue, Zhiyang Zheng, Lifeng Qin, Huaibo Song

“…This system enhances feature extraction ability by introducing dual path networks and convolutional block attention modules and improves efficiency by replacing some modules from the standard YOLOv5s with deep separable convolution to reduce parameters. …”
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RGE-YOLO enables lightweight road packaging bag detection for enhanced driving safety by Dangfeng Pang, Zhiwei Guan, Tao Luo, Yanhao Liang, Ruzhen Dou

“…GSConv reduces redundant computations, enhancing model lightweight; EMA enhances the model’s ability to capture multi-scale information by integrating channel and spatial attention mechanisms; RepViTBlock integrates convolution and self-attention mechanisms to improve feature extraction capabilities. …”
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Lung function trajectories in children with early diagnosis of non-cystic fibrosis bronchiectasis: a retrospective observational study by Rossella Lamberti, Simona Ferraro, Andrea Farolfi, Michele Ghezzi, Salvatore Zirpoli, Alice Marianna Munari, Sai Spandana Adivishnu, Giuseppe Marano, Elia Biganzoli, Gian Vincenzo Zuccotti, Enza D’Auria

“…Abstract Background Non-cystic fibrosis (non-CF) bronchiectasis (BE) is defined as a clinical syndrome of recurrent, persistent wet cough and abnormal bronchial dilatation on chest High Resolution Computed Tomography (HRCT) scans. The aims of this study were to characterize the pattern of the trajectories of lung function parameters and to consider the relationship between the lung function and radiological severity according to the modified Reiff score. …”
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First-principles thermodynamic modeling for the Al-Nb-Ni ternary system by Arkapol Saengdeejing, Ryoji Sahara, Yoshiaki Toda

“…Without relying on any experimental data for solid-state phases, the first-principles Al-Nb-Ni thermodynamic database can exhibits most of the features comparing with the experimental phase diagram.…”
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Real-Time Corn Variety Recognition Using an Efficient DenXt Architecture with Lightweight Optimizations by Jin Zhao, Chengzhong Liu, Junying Han, Yuqian Zhou, Yongsheng Li, Linzhe Zhang

“…Representative Batch Normalization (RBN) is introduced into the DenseNet-121 model to improve the generalization ability of the model, and the SE module and deep separable convolution are integrated to enhance the feature representation and reduce the computational complexity, and the Dropout regularization is introduced to further improve the generalization ability of the model and reduce the overfitting. …”
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