Revitalizing tetanus vaccine literacy post road accidents: a comprehensive examination of knowledge and awareness initiative among non-medical university students in Lahore, Pakist... by Fiza Ayub, Wahaj Saleem, Muhammad Awais Shahid, Muhammad Afzal Hussain Khan, Amal K. Suleiman, Laiba Akram, Sadaf Sajid, Allah Bukhsh, Mirza Rafi Baig, Tahir Mehmood Khan

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Delays in initiating rabies post-exposure prophylaxis among dog bite victims in Wakiso and Kampala districts, Uganda [version 3; peer review: 2 approved] by Gloria Bahizi, Samuel Majalija, SM Thumbi, Fredrick Makumbi, Stevens Kisaka

“…Background   Although rabies in dog bite patients is preventable through timely initiation of post-exposure prophylaxis (PEP), a number of barriers to achieving PEP exist. …”
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Delays in initiating rabies post-exposure prophylaxis among dog bite victims in Wakiso and Kampala districts, Uganda [version 2; peer review: 2 approved] by Gloria Bahizi, Samuel Majalija, SM Thumbi, Fredrick Makumbi, Stevens Kisaka

“…Background   Although rabies in dog bite patients is preventable through timely initiation of post-exposure prophylaxis (PEP), a number of barriers to achieving PEP exist. …”
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The development and initial validation of IgG4-related disease damage index: a consensus report from Chinese IgG4-RD Consortium by Rong Zhang, Ning Ma, Wen Zhang, Xiaofeng Zeng, Lingli Dong, Yunyun Fei, Mengtao Li, Yan Zhao, Fang Wang, Yanhong Wang, Cheng Zhao, Dingding Zhang, Yunxia Hou, Nan Che, Liwei Lu, Hongsheng Sun, Xiaoping Hong, Zongfei Ji, Yujin Ye, Jingna Li, Linyi Peng, Jiaxin Zhou, Yan-Ying Liu, Shuhong Chi, Changyan Liu, Wenjia Sun, Yamin Lai

“…Objective To develop and conduct an initial validation of the Damage Index for IgG4-related disease (IgG4-RD DI).Methods A draft of index items for assessing organ damages in patients with IgG4-RD was generated by experts from the Chinese IgG4-RD Consortium (CIC). …”
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A novel trajectory learning method for robotic arms based on Gaussian Mixture Model and k-value selection algorithm. by Jingnan Yan, Yue Wu, Kexin Ji, Cheng Cheng, Yili Zheng

“…The choice of the k-value significantly impacts the model's performance, and traditional methods, such as random selection or selection based on empirical knowledge, often lead to suboptimal outcomes. …”
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Distribution Network Reconfiguration Using Selective Firefly Algorithm and a Load Flow Analysis Criterion for Reducing the Search Space by Cassio Gerez, Lindenberg I. Silva, Edmarcio A. Belati, Alfeu J. Sguarezi Filho, Eduardo C. M. Costa

“…Here, the proposition is a technique based on the firefly metaheuristic, named selective firefly algorithm, where the positioning of these insects is compressed in a selective range of values. …”
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Transformer fault diagnosis using machine learning: a method combining SHAP feature selection and intelligent optimization of LGBM by Cheng Liu, Weiming Yang

“…Abstract This paper proposes a novel approach for transformer fault diagnosis. Initially, a high-dimensional feature set comprising 19 features related to five gas concentrations is constructed to reflect the gas-fault relationship. …”
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Research on Optimal Charge Structure Selection and Active Control Methods for Subgrade Bench Blasting Based on Multi‐Objective Optimization by Sun Yong, Zhang Zhongshuai, Tian Chenglin, Wang Qingbiao, Shi Zhenyue, Wang Keyong

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First ATG101-recruiting small molecule degrader for selective CDK9 degradation via autophagy–lysosome pathway by Ye Zhong, Jing Xu, Huiying Cao, Jie Gao, Shaoyue Ding, Zhaohui Ren, Huali Yang, Yili Sun, Maosheng Cheng, Jia Li, Yang Liu

“…Herein, we report the first ATG101-recruiting selective CDK9 degrader, AZ-9, based on the hydrophobic tag kinesin degradation technology. …”
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Brain age prediction from MRI images based on a convolutional neural network with MRMR feature selection layer by Mustafa Hatem Al Ghariri, Seyed Omid Shahdi

“…The feature selection layer uses MRMR algorithm which identifies essential characteristics for a target variable while minimizing feature redundancy to select the optimal feature subset. …”
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Capsid protein VP4 of human rhinovirus induces membrane permeability by the formation of a size-selective multimeric pore. by Anusha Panjwani, Mike Strauss, Sarah Gold, Hannah Wenham, Terry Jackson, James J Chou, David J Rowlands, Nicola J Stonehouse, James M Hogle, Tobias J Tuthill

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Non-Destructive Identification of Wool and Cashmere Fibers Based on Cascade Optimizations of Interval-Wavelength Selection Using NIR Spectroscopy by Xin Chen, Qingle Lan, Yaolin Zhu, Jinni Chen

“…Then, the backward interval partial least squares (BiPLS) algorithm is applied for the preliminary selection of spectral intervals, followed by the application of three different variable selection algorithms, competitive adaptive reweighted sampling (CARS), successive projection algorithm (SPA) and whale optimization algorithm (WOA), for secondary wavelength optimization, respectively. …”
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Deciphering Customer Satisfaction: A Machine Learning-Oriented Method Using Agglomerative Clustering for Predictive Modeling and Feature Selection by Rezki Nisrine, Mansouri Mohamed, Oucheikh Rachid

“…The insights and customer clustering derived from this study can guide these targeted strategies to enhance customer satisfaction and inform future product development initiatives.…”
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Platinum-modified screen-printed carbon electrode integrated with molecularly imprinted polymer for highly selective electrochemical ethanol sensing by Wulan Khaerani, Irkham, Uji Pratomo, Adisyahputra, Yasuaki Einaga, Yeni Wahyuni Hartati

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Sustainability and Environmental Performance in Selective Collection of Residual Materials: Impact of Modulating Citizen Participation Through Policy and Incentive Implementation by Laurie Fontaine, Robert Legros, Jean-Marc Frayret

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Site Selection of Offshore Wind Power-Hydrogen Production and Refueling Ports Based on Empirical Mining and Hybrid Linguistic Approach by Ningbo HUANG, Jianwei GAO, Chuanbo XU, Xuanhua XU, Shutong ZHAO, Xunjie GOU, Xiaojing JIANG

“…To support the decision-making for site selection of offshore wind power-hydrogen production and refueling ports (OWP-HPRP), we propose a multi-attribute decision-making method using experience mining algorithm and hybrid linguistic terminologies. …”
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Enucleation-Induced Rat Adrenal Gland Regeneration: Expression Profile of Selected Genes Involved in Control of Adrenocortical Cell Proliferation by Marianna Tyczewska, Marcin Rucinski, Agnieszka Ziolkowska, Marta Szyszka, Marcin Trejter, Anna Hochol-Molenda, Krzysztof W. Nowak, Ludwik K. Malendowicz

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Crystal Plasticity Finite Element Simulation of Tensile Fracture of 316L Stainless Steel Produced by Selective Laser Melting by Guowei Zeng, Ziyang Huang, Bei Deng, Rui Ge

“…Selective Laser Melting (SLM) of 316L stainless steel exhibits great potential prospects for engineering applications due to its high strength, high forming freedom, and low material waste. …”
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Integration of metaheuristic based feature selection with ensemble representation learning models for privacy aware cyberattack detection in IoT environments by M. Karthikeyan, R. Brindha, Maria Manuel Vianny, V. Vaitheeshwaran, Mrinal Bachute, Sanket Mishra, Bibhuti Bhusan Dash

“…The data normalization stage initially applies Z-score normalization to convert input data into a beneficial format. …”
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Lung and Colon Cancer Classification Using Multiscale Deep Features Integration of Compact Convolutional Neural Networks and Feature Selection by Omneya Attallah

“…Initially, it extracts deep attributes from two separate layers (pooling and fully connected) of three pre-trained CNNs (MobileNet, ResNet-18, and EfficientNetB0). …”
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