Machine Learning-Augmented Triage for Sepsis: Real-Time ICU Mortality Prediction Using SHAP-Explained Meta-Ensemble Models by Hülya Yilmaz Başer, Turan Evran, Mehmet Akif Cifci

“…<b>Background/Objectives:</b> Optimization algorithms are acknowledged to be critical in various fields and dynamical systems since they provide facilitation in identifying and retrieving the most possible solutions concerning complex problems besides improving efficiency, cutting down on costs, and boosting performance. …”
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Multi‐trait multi‐environment genomic prediction of preliminary yield trial in pulse crop by Rica Amor Saludares, Sikiru Adeniyi Atanda, Lisa Piche, Hannah Worral, Francoise Dariva, Kevin McPhee, Nonoy Bandillo

“…Abstract Phenotypic selection of complex traits such as seed yield and protein in the preliminary yield trial (PYT) is often constrained by limited seed availability, resulting in trials with few environments and minimal to no replications. …”
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Automatic Generation of Synthesisable Hardware Description Language Code of Multi-Sequence Detector Using Grammatical Evolution by Bilal Majeed, Rajkumar Sarma, Ayman Youssef, Douglas Mota Dias, Conor Ryan

“…Quickly designing digital circuits that are both correct and efficient poses significant challenges. Electronics, especially those incorporating sequential logic circuits, are complex to design and test. …”
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NANOMODIFIED CONCRETE by B. M. Khroustalev, V. V. Yaglov, Ya. N. Kovalev, V. N. Romaniuk, G. A. Burak, A. A. Mezhentsev, N. S. Gurinenko

“…A differential characteristic of the next generation concrete is its complexity that presumes usage of various mineral dispersed components, two- and three fractional fine and coarse aggregates, complex chemical additives, combinations of polymer and iron reinforcement.Design strength and performance properties level of the next generation concrete is achieved by high-quality selection of the composition, proper selection of manufacturing techniques, concrete curing, bringing the quality of concrete items to the required level of technical condition during the operational phase. …”
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Optimizing ultra high-performance concrete (UHPC) mix proportions using technique for order preference by similarity to ideal solution (TOPSIS) for enhanced performance: Precision... by Sathya Sai Regalla, N. Senthil Kumar

“…This approach supports concrete engineers in selecting UHPC formulations aligned with specific performance requirements, leading to more efficient and effective applications in practice. …”
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Advances in Waste Plastic Recycling via Photocatalytic and Electrocatalytic Reforming by Xinjia MIAO, Haihong ZHONG, Weiting YANG, Yongjun FENG, Zhongmin SU

“…However, the large-scale implementation of photocatalytic and electrocatalytic reforming still faces several challenges, including low catalytic efficiency, limited product selectivity, and complex separation and purification processes. …”
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ISSUES IN ACHIEVING TARGETED FUNDING FOR LEADING SCIENTISTS AND SCIENTIFIC COMMUNITIES USING INDEXES OF PUBLICATION ACTIVITY by N. G. Kurakova, O. G. Grigor’ev

“…This will allow the focus of investment resources on the most perspective ideas and projects of the most efficient scientists, communities and organisations. …”
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Simulation-Based Dynamic Passenger Flow Assignment Modelling for a Schedule-Based Transit Network by Xiangming Yao, Baomin Han, Dandan Yu, Hui Ren

“…The online operation management and the offline policy evaluation in complex transit networks require an effective dynamic traffic assignment (DTA) method that can capture the temporal-spatial nature of traffic flows. …”
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An Urban Bus Network Generation Algorithm Based on Particle Swarm Optimization and Force Field Properties by Yiming Chen, Yanhong Gu, Zhengdong Huang, Tianhong Zhao, Liangyuan Guo

“…The continuous increase in urban population and scale makes the factors considered in the urban route network design increasingly complex. Contemporary public transportation network design problems are based more on efficiency goals such as the accessibility and comfort of the transportation network, which increases the difficulty of analyzing the problem. …”
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Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases by William DeGroat, Habiba Abdelhalim, Elizabeth Peker, Neev Sheth, Rishabh Narayanan, Saman Zeeshan, Bruce T. Liang, Zeeshan Ahmed

“…Abstract Cardiovascular diseases (CVDs) are complex, multifactorial conditions that require personalized assessment and treatment. …”
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Gram‐Scale Preparation of Tri‐Coordinated Single‐Atom Catalysts for CO2 Electrolysis in Large‐Scale Membrane Electrode Assembly by Lei Yuan, Xin Li, Guilin Li, Kuilin Peng, Hongyu Zhang, Shaojuan Zeng, Xiaofu Sun, Xiangping Zhang

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Flow modeling of high-viscosity fluids in pipeline infrastructure of oil and gas enterprises by Ilia Beloglazov, Valentin Morenov, Ekaterina Leusheva

“…The proposed solutions and tasks for predicting changes in the viscosity-temperature characteristics of the flow for blends of different oil types are especially relevant in the current conditions of an increase in the share of oil production with complex rheological characteristics. Results of the presented investigations may be used for planning the measures of efficient transportation of high-viscosity and heavy oils.…”
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Evaluation of the effectiveness of sliding redundancy of radioelectronic facilities by T. E. Gelfman, A. P. Pirkhavka

“…Practical recommendations on the selection of the redundancy mode are presented according to different reliability indices and constructed mathematical models of the sliding redundancy efficiency coefficients. …”
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SSR loci potentially associated with high amylopectine content in maize kernel endosperm by S. I. Vakula, O. A. Orlovskaya, L. V. Khotyleva, A. V. Kilchevsky

“…It was shown that not the individual allelic polymorphisms of the phi022, phi027, phi061 loci are efficient for the markerassociated selection of high-amylopectin maize, but their unique combinations.…”
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Research on the Spatial Location Design of Guidance Signage Systems to Connect the Space of Transit-Orientated Development Sites Based on Multi-Software Analysis by Xue Ma, Qingjuan Yang

“…This is essential for enhancing user navigation efficiency, minimizing confusion, and improving overall spatial usability in complex environments.…”
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Improving the classification of a nanocomposite using nanoparticles based on a meta-analysis study, recurrent neural network and recurrent neural network Monte-Carlo algorithms by Rania Loukil, Wejden Gazehi, Mongi Besbes

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Machine learning enables legal risk assessment in internet healthcare using HIPAA data by Shixian Liu, Hailing Liu, Siyu Fan, Leming Song, Zeyu Wang

“…RF enhances classification performance by integrating multiple decision trees, while SVM achieves efficient classification by identifying the maximum margin hyperplane. …”
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Clinical Performance of Bulk-Fill Versus Incremental Composite Restorations in Primary Teeth: A Systematic Review of In Vivo Evidence by Maria Sarapultseva, Desheng Hu, Alexey Sarapultsev

“…<b>Conclusions</b>: Bulk-fill composites offer a clinically effective and time-efficient alternative to incremental layering in the restoration of primary teeth. …”
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Machine Learning-Based Morphological Classification and Diversity Analysis of Ornamental Pumpkin Seeds by Sıtkı Ermiş, Uğur Ercan, Aylin Kabaş, Önder Kabaş, Georgiana Moiceanu

“…<i>ovifera</i>) seeds are highly morphologically variable, and their classification is hence a complex task for the seed industry. Efficient and accurate classification is critical for agricultural production, breeding programs, and seed sorting for commerce. …”
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Automated lumbar intervertebral disc identification and herniation detection in MR images using cascade CNN architecture by Md Abu Sayed, Ashiqur Rahman, Sadman Mohammad Nasif, Sudipto Halder, Akram Hossain, Hasan Ahmed, Muhammad Abdul Kadir

“…Objective: Identifying herniated discs in MRI scans is inherently challenging due to the small size, irregular shape, and complex appearance of the affected regions. Conventional approaches typically rely on semi-automated region-of-interest (ROI) selection and single-model classification using either axial or sagittal views, limiting diagnostic performance. …”
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