PROBLEMS OF FORMATION OF FINANCIAL-INVESTMENT PROJECTION OF A BALANCED SCORECARD IN VALUE-BASED ENTERPRISES OF MINING-METALLURGICAL COMPLEX by S. Faizova, M. Ivanova, S. Sannikova, O. Varyanichenko

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Enhancing IDS for the IoMT based on advanced features selection and deep learning methods to increase the model trustworthiness. by Ahmed Muqdad Alnasrallah, Maheyzah Md Siraj, Hanan Ali Alrikabi

“…This study indicates that the proposed strategy decreases computational complexity and enhances IDS efficiency in resource-constrained IoMT environments.…”
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Crashing Fault Residence Prediction Using a Hybrid Feature Selection Framework from Multi-Source Data by Xiao Liu, Xianmei Fang, Song Sun, Yangchun Gao, Dan Yang, Meng Yan

“…This task plays a crucial role in software quality assurance by enhancing debugging efficiency and reducing testing costs. This study introduces SCM, a two-stage composite feature selection framework designed to address this challenge. …”
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Enhanced deep learning model for apple detection, localization, and counting in complex orchards for robotic arm-based harvesting by Tantan Jin, Xiongzhe Han, Pingan Wang, Zhao Zhang, Jie Guo, Fan Ding

“…The growing demand for automation in the apple-harvesting industry remains challenging due to the complex and dynamic nature of orchard environments. …”
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A novel voting ensemble model empowered by metaheuristic feature selection for accurate flash flood susceptibility mapping by Radhwan A. Saleh, Ahmed M. Al-Areeq, Amran A. Al Aghbari, Mustafa Ghaleb, Mohammed Benaafi, Nabil M. Al‑Areeq, Baqer M. Al-Ramadan

“…Then, the Memo Search Algorithm (MSA), a metaheuristic approach is proposed to efficiently reduce feature space. Through comprehensive comparisons with established algorithms such as the Artificial Bee Colony (ABC) and Gray Wolf Optimizer (GWO), MSA refined the selection, identifying 'elevation’ and 'distance to streams’ as optimal factors. …”
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Integrated feature selection-based stacking ensemble model using optimized hyperparameters to predict breast cancer with smart web application by Rajib Kumar Halder, Marzana Akter Lima, Mohammed Nasir Uddin, Md.Aminul Islam, Adri Saha

“…Early detection is paramount as it significantly improves survival rates and reduces the complexity and cost of treatment. Machine learning has revolutionized this field, providing more precise, efficient, and personalized diagnostic methods. …”
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Identifying the Challenges of the Processes of Introducing and Commercializing Domestic Medical Equipment to the Market by Shahnaz Seyedi Dolatabad, Hessam Zandhessami, Hamed Afshari, Shirin Jalalinia

“…Conclusion: The research results showed that the process faces major challenges such as complexity of implementation steps, time-consuming nature, high costs, lack of transparency, and lack of coordination between regulatory agencies. …”
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Enhancing credit card fraud detection: highly imbalanced data case by Dalia Breskuvienė, Gintautas Dzemyda

“…It has been specifically designed to efficiently process and analyze vast and complex datasets commonly encountered in the financial sector, showcasing adaptability to the dynamic nature of big data environments. …”
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Petrographic image classification of complex carbonate rocks from the Brazilian pre-salt using convolutional neural networks by Mateus Basso, João Paulo da Ponte Souza, Guilherme Furlan Chinelatto, Luis Augusto Antoniossi Mansini, Alexandre Campane Vidal

“…We evaluated five computational models: EfficientNet, MobileNet v3, RegNet, ResNet, and ShuffleNet v2. …”
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TCR-engaging scaffolds selectively expand antigen-specific T-cells with a favorable phenotype for adoptive cell therapy by Marco Donia, Özcan Met, Julie Westerlin Kjeldsen, Sine Reker Hadrup, Inge Marie Svane, Arianna Draghi, Anders Handrup Kverneland, Christina Heeke, Siri Amanda Tvingsholm, Marcus Svensson Frej, Vibeke Mindahl Rafa, Ulla Kring Hansen, Maria Ormhøj, Alexander Tyron, Agnete W P Jensen, Mohammad Kadivar, Amalie Kai Bentzen, Kamilla K Munk, Gitte N Aasbjerg, Jeppe S H Ternander, Tripti Tamhane, Christian Schmess, Samuel A. Funt, Søren Nyboe Jakobsen

“…The resulting T-cell products were assessed for phenotypic and functional characteristics.Results We identified an optimal Ag-scaffold for expansion of T-cells for ACT, carrying pMHC and interleukin-2 (IL-2) and IL-21, with which we efficiently expanded both virus-specific and tumor-specific CD8+ T cells from peripheral blood of healthy donors and patients, respectively. …”
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Effects of Ageing and Sex on Complexity in the Human Sleep EEG: A Comparison of Three Symbolic Dynamic Analysis Methods by Pinar Deniz Tosun, Derk-Jan Dijk, Raphaelle Winsky-Sommerer, Daniel Abasolo

“…Symbolic dynamic analysis (SDA) methods have been applied to biomedical signals and have been proven efficient in characterising differences in the electroencephalogram (EEG) in various conditions (e.g., epilepsy, Alzheimer’s, and Parkinson’s diseases). …”
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Deformation, fracture characteristics and damage constitutive model of soft coal under true triaxial complex stress paths. by Chongyang Jiang, Lianguo Wang, Jiaxing Guo, Shuai Wang

“…Furthermore, based on the experimental results, a damage constitutive model for soft coal is developed that integrates damage mechanics, Weibull statistical distribution theory, and the Mogi-Coulomb criterion to effectively measure microelement strength under true triaxial complex stress paths. Comparing the theoretical model with the experimental curves demonstrates that the proposed damage constitutive model can effectively reflect the deformation strength characteristics of soft coal under true triaxial complex stress paths. …”
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Recruitment of a SAP18-HDAC1 complex into HIV-1 virions and its requirement for viral replication. by Masha Sorin, Jennifer Cano, Supratik Das, Sheeba Mathew, Xuhong Wu, Kelvin P Davies, Xuanling Shi, S-W Grace Cheng, David Ott, Ganjam V Kalpana

“…INI1/hSNF5 is a component of the SWI/SNF complex that interacts with HIV-1 IN, is selectively incorporated into HIV-1 (but not other retroviral) virions, and modulates multiple steps, including particle production and infectivity. …”
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Attachment as a Primary Mechanism in Physician Cognition and Bias During Complex Medical Cases: A Narrative Review by Rein C

“…Carrie Rein Department of Clinical Research and Leadership, the George Washington University School of Medicine and Health Sciences, Washington, DC, USACorrespondence: Carrie Rein, Email crein15@gwmail.gwu.eduIntroduction: In recent decades, improvements in diagnostic accuracy in medical cases have been minimal despite rapid advancements in technology. Moreover, in complex cases, diagnostic accuracy remains a significant challenge, often reflecting practices from the 18th and 19th centuries. …”
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Dynamic response and discrimination of gaseous sarin using a boron‐difluoride complex film‐based fluorescence sensor by Zhijie Zhou, Lei Zhang, Lingya Peng, Yingjie Li, Xiaolin Zhu, Yidi Wu, Zebiao Qiu, Gang He, Molin Qin, Haonan Peng, Yu Fang

“…Abstract This study presents a novel boron‐difluoride complex‐based fluorescent nanofilm sensor capable of detecting sarin vapors in the environment by reporting an output fluorescence signal. …”
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Fibrin monomer complex on postoperative day 1 is correlated with the volume of deep vein thrombosis after knee surgery by Manabu Akagawa, Hiroaki Kijima, Yoshiaki Kimura, Hidetomo Saito, Kimio Saito, Ikuko Wakabayashi, Takeshi Kashiwagura, Naohisa Miyakoshi

“…It has not been identified how to efficiently detect high‐risk DVT while minimizing bleeding complications from anticoagulation. …”
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HierLabelNet: A Two-Stage LLMs Framework with Data Augmentation and Label Selection for Geographic Text Classification by Zugang Chen, Le Zhao

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Developing a hybrid machine learning model for employee turnover prediction: Integrating LightGBM and genetic algorithms by Hojat Talebi, Amid Khatibi Bardsiri, Vahid Khatibi Bardsiri

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Selection Method and Application of Dual-Mode TBM in Composite Strata: A Case Study of Shenzhen Metro Line 14 by Jizheng Huang, Xiaoyue Kang, Gaoyu Ma, Fan Chen, Shimin Wang, Renbin Luo

“…While dual-mode TBM selection requires comprehensive consideration of the combined effects of efficiency, duration, and cost related to the distribution of different strata. …”
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Consistency and Stability in Feature Selection for High-Dimensional Microarray Survival Data in Diffuse Large B-Cell Lymphoma Cancer by Kazeem A. Dauda, Rasheed K. Lamidi

“…High-dimensional survival data, such as microarray datasets, present significant challenges in variable selection and model performance due to their complexity and dimensionality. …”
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