Machine learning prediction and interpretability analysis of high-risk chest pain: a study from the MIMIC-IV database by Hongyi Chen, Haiyang Song, Hongyu Huang, Xiaojun Fang, Huang Chen, Qingqing Yang, Junyu Zhang, Wenjun Ding, Zheng Gong, Jun Ke

“…To address class imbalance, we implemented feature engineering with SMOTE and under-sampling techniques. …”
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Advancing Hematopoietic Stem Cell Transplantation Typing: Harnessing Hyperledger Fabric’s Blockchain Architecture by Meng Wu, Feng Xu, Geetha Subramaniam, Zeyu Li, Liyun Chen, Wenjuan Zhu

“…The system, built on Hyperledger Fabric 2.4.6 and integrated with LevelDB and MySQL databases, implements features such as data on-chaining, access control, information retrieval, and matching through chaincode. …”
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Assessing Drug–Drug Interaction and Food Effect for BCS Class 2 Compound BI 730357 (Retinoic Acid-Related Orphan Receptor Gamma Antagonist, Bevurogant) Using a Physiology-Based Pha... by Tobias Kanacher, Erik Sjögren, Julia Korell, Elodie L. Plan, Jose David Gómez-Mantilla, Ibrahim Ince

“…The food effect was applied using the implemented feature PK-Sim^®. <b>Results</b>: The model accurately predicted an observed itraconazole drug–drug interaction (DDI) in fasted subjects and was used to explore the effects of the strong CYP3A4 inducer rifampicin on the pharmacokinetics of BI 730357 after administration in fed subjects. …”
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Fully Automated Software Product Line Evolution With Diverse Artifacts by Jakub Perdek, Valentino Vranic

“…Each change is propagated into repetitive phases, causing the visual performance of the implemented feature to be infinitely detailed. Even minor changes in low code fragments tend to manifest as user-visible features owing to recursive behavior, allowing one to massively introduce new features and/or configure existing features and manage variability observable as infinitely detailed shapes. …”
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Sparse Linear Discriminant Analysis With Constant Between-Class Distance for Feature Selection by Shuangle Guo, Yongxia Li, Jianguang Zhang, Yue Liu, Tian Tian, Mengchen Guo

“…This model first transforms TR-LDA into a non-trace ratio problem with a constant between-class distance constraint, and then imposes row constraints on the projection matrix to implement feature selection. Since the SLDA-CBD model is rooted in TR-LDA, it ensures the discriminative performance of the selected features. …”
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Identification of fine antigenic epitopes of Tamdy virus glycoprotein Gn fragment and establishment of ELISA detection method by Yujiao Fu, Liping Liu, Beibei Zhang, Xiaoshan Chao, Junxia Jin, Ying Wang, Juntao Ding

“…Conclusions Eight precise epitopes were identified, and an indirect ELISA method based on fusion multiepitope peptide (r-Gn-MEPX2) was developed and implemented, featuring high sensitivity, accuracy, and specificity. …”
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Design and analysis of a 60 GHz high gain wideband magneto electric dipole antenna array based on trapped printed gap waveguide technology by Haitham Hamada, Mohamed Mamdouh M. Ali, Shoukry I. Shams, Ashraf A. M. Khalaf, A. M. M. A. Allam

“…A 2 × 2 planar antenna array is designed and implemented, featuring proper integration between the radiating elements and a differentially fed wide-bandwidth TPGW power divider. …”
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Efficient coding in biophysically realistic excitatory-inhibitory spiking networks by Veronika Koren, Simone Blanco Malerba, Tilo Schwalger, Stefano Panzeri

“…The excitatory-inhibitory recurrent connectivity between neurons with similar stimulus tuning implements feature-specific competition, similar to that recently found in visual cortex. …”
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Artificial Intelligence in UAV Flight Controls: Deep Reinforcement Learning Based Altitude-Hold Strategies for Fixed-Wing UAVs by Hasan Raza Khanzada, Adnan Maqsood, Abdul Basit

“…Notably, the implementation featuring a single RL agent yields promising results, highlighting the capacity of RL agents to handle complex control challenges. …”
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Machine learning prediction of permeability distribution in the X field Malay Basin using elastic properties by Zaky Ahmad Riyadi, John Oluwadamilola Olutoki, Maman Hermana, Abdul Halim Abdul Latif, Ida Bagus Suananda Yogi, Said Jadid A. Kadir

“…This study introduces a new approach to permeability estimation by implementing feature selection analysis and using elastic properties extracted from simultaneous seismic inversion method. …”
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Radiomics-based machine learning role in differential diagnosis between small renal oncocytoma and clear cells carcinoma on contrast-enhanced CT: A pilot study by Roberto Francischello, Salvatore Claudio Fanni, Martina Chiellini, Maria Febi, Giorgio Pomara, Claudio Bandini, Lorenzo Faggioni, Riccardo Lencioni, Emanuele Neri, Dania Cioni

“…None of the nine models with the lowest mean balanced accuracy values implemented features from A. Conclusion: The A bw 10 model was identified as the most efficient mono-phasic model in differentiating small RO from ccRCC.…”
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Variable selection strategies for genomic prediction of growth and carcass related traits in experimental Nellore cattle herds under different selection criteria by Lucio F. M. Mota, Leonardo M. Arikawa, Júlia P. S. Valente, Larissa F. S. Fonseca, Maria E. Z. Mercadante, Joslaine N. S. G. Cyrillo, Henrique N. Oliveira, Lucia G. Albuquerque

“…However, in small populations, GS faces challenges due to limited data and a large number of markers potentially leading to biased predictions. Implementing feature selection strategies is essential to improve prediction accuracy and avoid overfitting. …”
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Exploring Technical Features to Enhance Control in Videoconferencing Psychotherapy: Quantitative Study on Clinicians’ Perspectives by Francesco Cataldo, Shanton Chang, Antonette Mendoza, George Buchanan, Nicholas Van Dam

“…ConclusionsThis study demonstrates that technology may help improve therapists’ VCP experiences by implementing features that respond to their need for enhanced control. …”
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Promoting recovery capital among college students in recovery on a campus developing a collegiate recovery program by Michael J. Broman, Michael J. Broman, Jhuma Acharya, Elizabeth A. Bowen, Emily Pasman, Erin Marks, Erin Marks, Jeffrey G. Kuentzel, Stella M. Resko, Stella M. Resko

“…As more collegiate recovery programs are developed to support students in recovery, these programs should implement features to augment students’ recovery capital.MethodsWe conducted a needs assessment on a campus with a newly developing collegiate recovery program. …”
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Construction of a risk prediction model for occupational noise-induced hearing loss using routine blood and biochemical indicators in Shenzhen, China: a predictive modelling study by Wenting Feng, Wen Zhang, Yan Guo, Naixing Zhang, Liang Zhou, Dafeng Lin, Linlin Chen, Caiping Li, Liuwei Shi, Xiangli Yang, Peimao Li, Dianpeng Wang

“…On the test data set, the model achieved an AUC of 0.990. After implementing feature selection, the model was refined to include only 16 features, while maintaining strong performance on a newly acquired independent data set, with an AUC of 0.872, a balanced accuracy of 0.798, a sensitivity of 0.755 and a specificity of 0.840. …”
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