XGBoost models based on non imaging features for the prediction of mild cognitive impairment in older adults by Miguel A. Fernández-Blázquez, José M. Ruiz-Sánchez de León, Rubén Sanz-Blasco, Emilio Verche, Marina Ávila-Villanueva, María José Gil-Moreno, Mercedes Montenegro-Peña, Carmen Terrón, Cristina Fernández-García, Jaime Gómez-Ramírez

“…Model performance improved with the inclusion of cognitive assessments, with the most comprehensive model (Model 5) achieving the highest accuracy (86%) and area under the curve (AUC = 0.8359). …”
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Exploring Consistent Feature Selection for Software Fault Prediction: An XAI-Based Model-Agnostic Approach by Adam Khan, Asad Ali, Jahangir Khan, Fasee Ullah, Muhammad Faheem

“…Numerous feature selection (FS) techniques have been widely applied in Software Engineering (SE) to improve the predictive performance of machine learning (ML) models. …”
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A multi-algorithm prognostic model combining inflammatory indices and surgical features in distal cholangiocarcinoma by Yi Yin, Yi Yin, Luyuan Bai, Xinyue Mu, Xinyue Mu, Shan Zhang, Panpan Zhai, Panpan Zhai

“…Candidate variables were screened through univariate analysis using Kaplan-Meier, random forest, Recursive Feature Elimination (RFE) and least absolute shrinkage and selection operator (LASSO) regression models. …”
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Pantethine ameliorates dilated cardiomyopathy features in PPCS deficiency disorder in patients and cell line models by Fangfang Zhang, Tatjana Dorn, Barbara Gnutti, Yair Anikster, Sarah Kuebler, Rebecca Ahrens-Nicklas, Rachel Gosselin, Shamima Rahman, Ronen Durst, Enrica Zanuttigh, Miriam A. Güra, Christine M. Poch, Anna B. Meier, Karl-Ludwig Laugwitz, Hans-Joachim Schüller, Ana C. Messias, Ody C. Sibon, Dario Finazzi, Alyssa Rippert, Dong Li, Kristen Truxal, Deipanjan Nandi, Brent C. Lampert, Mildrid Yeo, Alice Gardham, Batel Nissan, Smadar Horowitz Cederboim, Alessandra Moretti, Arcangela Iuso

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Development Features and Directions of Modern Management: In the Case of Ukrainian Health Care Institutions by Hanna Shvindina, Regina Veckalne, Inna Balahurovska, Nataliia Khrin

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Evaluation of the Chetomin effect on histopathological features in a murine acute spinal cord injury model by Carlos César Bravo-Reyna, Vladimir Miranda-Galván, Gervith Reyes-Soto, R. Vicuña, Jorge Alanis-Mendizabal, Manuel Escobar-Valderrama, David Arango, Claudia J. Bautista, Victoria Ramírez, Gonzalo Torres-Villalobos

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Behavioral, medical imaging and histopathological features of a new rat model of bone cancer pain. by Louis Doré-Savard, Valérie Otis, Karine Belleville, Myriam Lemire, Mélanie Archambault, Luc Tremblay, Jean-François Beaudoin, Nicolas Beaudet, Roger Lecomte, Martin Lepage, Louis Gendron, Philippe Sarret

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Edge-Guided Feature Pyramid Networks: An Edge-Guided Model for Enhanced Small Target Detection by Zimeng Liang, Hua Shen

“…This paper introduces a novel model that integrates edge characteristics with multi-scale feature fusion, named Edge-Guided Feature Pyramid Networks (EG-FPNs). …”
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Stacked ensemble model for NBA game outcome prediction analysis by Guangsen He, Hyun Soo Choi

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Dynamic and static feature identification method of complex buried hill reservoirs in Bohai and its application by YAN Jianli,LI Chao,MA Dong,LI Zhuo,WANG Peng

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A new statistical model for advanced modeling of cancer disease data

“…These features make the GOBPW model suitable for statistical analysis in biomedical and engineering applications. …”
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A High-Performance and Lightweight Maritime Target Detection Algorithm by Shidan Sun, Zhiping Xu, Xiaochun Cao, Jiachun Zheng, Jiawen Yang, Ni Jin

“…HPMTD consists of three modules: feature extraction, shallow feature progressive fusion (SFPF), and multi-scale sensing head. …”
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Company management systems models evaluation by Shi Lin, A. V. Bodyako

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The large language model diagnoses tuberculous pleural effusion in pleural effusion patients through clinical feature landscapes by Chaoling Wu, Wanyi Liu, Pengfei Mei, Yunyun Liu, Jian Cai, Lu Liu, Juan Wang, Xuefeng Ling, Mingxue Wang, Yuanyuan Cheng, Manbi He, Qin He, Qi He, Xiaoliang Yuan, Jianlin Tong

“…Methods We conducted a cross-sectional study, collecting clinical data from 109 TPE and 54 non-TPE patients for analysis, selecting 73 features from over 600 initial variables. The performance of the LLM was compared with logistic regression and machine learning models (k-Nearest Neighbors, Random Forest, Support Vector Machines) using metrics like area under the curve (AUC), F1 score, sensitivity, and specificity. …”
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Features of the compound ALM-802 antiarrhythmic action by V. V. Barchukov, V. P. Zinchenko, I. B. Tsorin, I. Yu. Teplov, V. N. Stolyaruk, M. B. Vititnova, G. V. Mokrov, S. A. Kryzhanovskii

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How to Handle Data Imbalance and Feature Selection Problems in CNN-Based Stock Price Forecasting by Zinnet Duygu Aksehir, Erdal Kilic

“…The experimental results showed that the CNN prediction model, which uses the proposed feature selection and labeling approaches in this study, performs 3-22% higher accuracy than the CNN-based models taking part in other studies. …”
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Two-factor authenticated key agreement protocol based on biometric feature and password by Xiao-wei LI, Deng-qi YANG, Ben-hui CHEN, Yu-qing ZHANG

“…A new two-factor authenticated key agreement protocol based on biometric feature and password was proposed.The protocol took advantages of the user’s biological information and password to achieve the secure communication without bringing the smart card.The biometric feature was not stored in the server by using the fuzzy extractor technique,so the sensitive information of the user cannot be leaked when the server was corrupted.The authentication messages of the user were protected by the server’s public key,so the protocol can resist the off-line dictionary attack which often appears in the authentication protocols based on password.The security of the proposed protocol was given in the random oracle model provided the elliptic computational Diffie-Hellman assumption holds.The performance analysis shows the proposed protocol has better security.…”
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Influential nodes identification for complex networks based on multi-feature fusion by Shaobao Li, Yiran Quan, Xiaoyuan Luo, Juan Wang

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Chinese medical named entity recognition integrating adversarial training and feature enhancement by Xu Zhang, Youchen Kao, Shengbing Che, Juan Yan, Sha Zhou, Shenyi Guo, Wanqin Wang

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VBM-YOLO: an enhanced YOLO model with reduced information loss for vehicle body markers detection by Bin Wang, Chao Li, Chao Zhou, Jun Sun

“…To address the issues of the feature and gradient information loss in previous You Only Look Once (YOLO) series models, a novel Vehicle Body Markers YOLO (VBM-YOLO) model has been designed. …”
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