An Enhanced Zebra Optimization Algorithm With Multiple Strategies for Global Optimization and Feature Selection Problems: A Hepatocellular Carcinoma Case Study by Feyza Altunbey Ozbay

“…The Zebra Optimization Algorithm (ZOA) is a newly proposed biology-based metaheuristic method drawn from zebras in nature, designed to tackle optimization problems. …”
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Semi-supervised anomaly detection from Chlorella vulgaris cultivations using hyperspectral imaging by Salli Pääkkönen, Ilkka Pölönen, Pauliina Salmi

“…More evolved anomaly detection methods are needed to ensure efficient quality control of microalgae cultivations. …”
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The Role of Environmental-Friendly Factors and Islamic Religiosity in Achieving Sustainable Consumption by Febrina Mahliza, Prita Prasetya, Riska Rosdiana, Putri Dwi Wahyuni

“…However, religiosity alone may not be a determining factor in consumers' eco-friendly purchasing decisions. …”
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Correlates of Overweight in Children and Adolescents Living at Different Altitudes: The Peruvian Health and Optimist Growth Study by Carla Santos, Alcibíades Bustamante, Donald Hedeker, Olga Vasconcelos, Rui Garganta, Peter T. Katzmarzyk, José Maia

“…Methods. 8568 subjects, aged 6–16 y, from the sea level, Amazon, and high-altitude regions were sampled. …”
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Recent Trends in Proxy Model Development for Well Placement Optimization Employing Machine Learning Techniques by Sameer Salasakar, Sabyasachi Prakash, Ganesh Thakur

“…The second class, i.e., a ROM, uses proper orthogonal decomposition (POD) methods to reduce the dimensionality of the problem. …”
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Preoperative identification of low-risk patients for major complications after acute hip fracture surgery in geriatric patients: an observational cohort study by Eveline de Haan, Anna de Ronde, Louis de Jong, Veronique. A. J. I. M. van Rijckevorsel, DHFR, Gert R. Roukema

“…Both univariable and multivariable analyses were conducted to determine factors significantly correlated with a hospital stay without major complications in patients of 65 years and older. …”
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Reserve antibiotics: overcoming limitations of evidence generated from regulatory approval trials by Lorenzo Moja, Mohamed Abbas, Marlieke EA de Kraker, Veronica Zanichelli, Loice Achieng Ombajo, Mike Sharland, Benedikt Huttner

“…Substantial failures occur in generating evidence to guide routine clinical use: preapproval studies lack representativeness, select outcomes and comparators to chase statistical significance, and often avoid using prespecified analytical methods. Three recommendations are key to enhance the quality and relevance of clinical data underpinning use of last resort molecules on the WHO AWaRe Reserve list active against carbapenem-resistant MDR-B i). separation of pivotal trials from post-approval studies, which should be funded by public programs and de-linked from commercial purposes, ii). development and maintenance of a global infrastructure to conduct post-approval public health focused studies, and iii). development of trial platforms that use efficient, adaptive designs to inform clinical decision making and country level technology appraisal. …”
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The Orienteering Problem with Time Windows for Optimizing Trabzon City’s Tourism Route by Betül Kara, Ezgi Öztürk, Minel Canbaz, Ertuğrul Ayyıldız

“…This study utilizes the analytical hierarchy process (AHP) and the technique for order preference by similarity to an ideal solution (TOPSIS), which are widely used multi-criteria decision-making (MCDM) methods, to determine the benefit scores of the visitation points. …”
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Multimorbidity patterns and prevalence among geriatric patients in Japanese hospital dentistry by Kousuke Matsumoto, Takako Tsutsui, Ryu Hashimoto, Mitsuaki Sakakura, Tetsuari Onishi, Masaya Akashi

“…For patients aged 65 years and older, cluster analysis using the non-hierarchical k-means method was applied to identify multimorbidity patterns. …”
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Sero-prevalence and PCR identification of lumpy skin disease virus in cattle at Mymensingh district of Bangladesh by Saad Muhammad Rafe-Ush-Shan, Ruhena Begum, Milton Roy, Muhammad Mujahidul Islam, Hemayet Hossain, Md. Shahidur Rahman Chowdhury, Md. Bashir Uddin, Md. Mahfujur Rahman, Md. Mukter Hossain

“…The findings of this study will be helpful in creating efficient methods for identifying and managing LSD in Bangladesh and avoiding the financial losses connected with dairy production.…”
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Augmented robustness in home demand prediction: Integrating statistical loss function with enhanced cross-validation in machine learning hyperparameter optimisation by Banafshe Parizad, Ali Jamali, Hamid Khayyam

“…Sustainable forecasting of home energy demand (SFHED) is crucial for promoting energy efficiency, minimizing environmental impact, and optimizing resource allocation. …”
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Prediction of Diabetes in Middle-Aged Adults: A Machine Learning Approach by Gideon Addo, Bismark Amponsah Yeboah, Michael Obuobi, Raphael Doh-Nani, Seidu Mohammed, David Kojo Amakye

“…Materials and Methods: This study utilized data from a previous cohort study conducted in Bangladesh. …”
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Secure and Intelligent Single-Channel Blind Source Separation via Adaptive Variational Mode Decomposition with Optimized Parameters by Meishuang Yan, Lu Chen, Wei Hu, Zhihong Sun, Xueguang Zhou

“…Experiments on the RML2016.10a dataset demonstrate a 15.7% improvement in separation efficiency over conventional methods, with robust performance for BPSK and QPSK signals, achieving correlation coefficients above 0.9 and signal-to-noise ratio (SNR) improvements of up to 24.66 dB.…”
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Electrochemical Sensing of Dopamine Neurotransmitter by Deep Eutectic Solvent–Carbon Black–Crosslinked Chitosan Films: Charge Transfer Kinetic Studies and Biological Sample Analysi... by Alencastro Gabriel Ribeiro Lopes, Rafael Matias Silva, Orlando Fatibello-Filho, Tiago Almeida Silva

“…Furthermore, the sensor presented good precision, as shown from the repeatability tests. The presented method to electrochemically detect DA has proven to be efficient and simple compared to the conventional methods commonly reported.…”
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RCFGL: Rapid Condition adaptive Fused Graphical Lasso and application to modeling brain region co-expression networks. by Souvik Seal, Qunhua Li, Elle Butler Basner, Laura M Saba, Katerina Kechris

“…We demonstrate the computational advantage and superior performance of our method compared to two non-condition adaptive methods, FGL and FMGL, and one condition adaptive method, CFGL in both simulation study and real data analysis. …”
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PERFORMANCE PREDICTION OF ROADHEADERS USING SUPPORT VECTOR MACHINE (SVM), FIREFLY ALGORITHM (FA) AND BAT ALGORITHM (BA) by Arash Ebrahimabadi, Alireza Afradi

“…Roadheaders play a crucial role in the excavation processes of tunnels and mines, offering efficient and precise cutting capabilities. The performance prediction of a roadheader is essential for optimizing operations and ensuring project success. …”
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The influencing factors of newly employed nurses’ adaptation in Malaysia: a structural equation modelling assessment by Hafidza Baharum, Aniza Ismail, Zainudin Awang, Lisa McKenna, Roszita Ibrahim, Zainah Mohamed, Nor Haty Hassan, Abdul Haniff Mohamad Yahaya

“…Therefore, we aimed to determine the factors that facilitate newly employed nurses’ adaptation and integration at Ministry of Health (MOH)-run state hospitals in Malaysia. …”
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Sleep-wake patterns of fencing athletes: a long-term wearable device study by Jiansong Dai, Xiaofeng Xu, Gangrui Chen, Jiale Lv, Yang Xiao

“…Objective Sleep is the most efficient means of recovery for athletes, guaranteeing optimal athletic performance. …”
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The diagnostic performance of impacted third molars in the mandible: A review of deep learning on panoramic radiographs by Amalia Nur Faadiya, Rini Widyaningrum, Pingky Krisna Arindra, Silviana Farrah Diba

“…Meanwhile, the accuracy of deep learning in determining the relationship between ITM and the mandibular canal (MC) ranges from 72.32% to 99%. …”
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Managing complexity in cross-cohort classrooms: strategies for effective implementation of real-life projects by Syaamantak Das, Sridhar Iyer

“…It identifies teaching-learning challenges, determines appropriate instructional strategies, and evaluates the effectiveness of solutions in facilitating real-life project-based learning. …”
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