Advanced evaluation of performance of machine learning models for soapstock splitting optimisation under uncertainty by Bartosz Szeląg, Krzysztof Barbusiński, Michał Stachura, Przemysław Kowal, Adam Kiczko, Eldon R. Rene

“…The objective was to evaluate and select the modeling approaches based on (i) data availability, (ii) model complexity, (iii) predictive accuracy, and (iv) sensitivity to input uncertainty. …”
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Depositing Pt nanoparticles on crumpled Ti3C2Tx for enhanced electrochemical sensing by Huaqing Chen, Tianshu Chu, Shundong Ge, Bowei Zhang, Fu-Zhen Xuan, Rui Yin

“…However, realizing highly selective and sensitive detection of dopamine in complex biological environments remains a challenge. …”
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A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images by Muhammad Attique Khan, Usama Shafiq, Ameer Hamza, Anwar M. Mirza, Jamel Baili, Dina Abdulaziz AlHammadi, Hee-Chan Cho, Byoungchol Chang

“…Future work will explore its adaptability to additional datasets and optimize its computational complexity for broader deployment.…”
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Sustainable planning of solar plants: bibliometry and integration of GIS-multicriteria methods by Gustavo Leite Gonçalves, Lucia Maria de Araujo Lima Gaudencio, Rui de Oliveira, Ruth Silveira do Nascimento

“…In summary, the examined methodological model proves effective for selecting locations for solar plant installation and operation sustainably and efficiently. …”
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Anchored atomic Ru-O4 architecture enables ultra-effective Fe(VI) activation via avoiding Fe(VI) self-decay for water purification by Yundan Chen, Xiaofei Ge, Jun Li, Zishuai Bill Zhang, Zhenshan Li

“…Compared with other typical transition metal single-atom catalysts, RuGN exhibits moderate interactions with Fe(VI) and thus facilitates the electron transfer via Ru-O-Fe coordination to activate Fe(VI) for efficient CIP degradation. The RuGN/Fe(VI) system resists interference from background substances coexisting in water, achieving efficient CIP degradation under complex water chemistry conditions and in real water samples. …”
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A combined strategy for screening a clustered mobile population returning from highly endemic areas for Plasmodium falciparum by Mei Li, Jun Li, Zhigui Xia, Ning Xiao, Weikang Jiang, Yongkang Wen

“…Conclusions: It was too complex and difficult to catch all parasite carriers in a short period of time among populations with such a complicated situation as that in Shanglin County. …”
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In Silico Design of Dual Estrogen Receptor and Hsp90 Inhibitors for ER-Positive Breast Cancer Through a Mixed Ligand/Structure-Based Approach by Gabriele La Monica, Federica Alamia, Alessia Bono, Francesco Mingoia, Annamaria Martorana, Antonino Lauria

“…Traditional endocrine therapies, including aromatase inhibitors, selective estrogen receptor degraders/antagonists (SERDs), and selective estrogen receptor modulators (SERMs), have improved outcomes for metastatic ER+ breast cancer. …”
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Fluorescent EGTA-derived carbon dots for turn on–off–on detection of Fe3+ and ascorbic acid via hydrothermal synthesis and cellular imaging by Kanwal Iqbal, Anam Iqbal, Wenwu Qin, Muhammad Imran, Zeeshan Ajmal, Imran Khan, Guolong Xing

“…This approach demonstrates excellent selectivity for AA over dopamine and other amino acids, providing a reliable method for distinguishing AA in complex biological matrices. …”
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Characterization of an unusual SARS-CoV-2 main protease natural variant exhibiting resistance to nirmatrelvir and ensitrelvir by Dipendra Bhandari, Oksana Gerlits, Stephen Keable, Leighton Coates, Annie Aniana, Rodolfo Ghirlando, Nashaat T. Nashed, Andrey Kovalevsky, John M. Louis

“…Structural differences in four inhibitor complexes of MProD48Y/ΔP168 compared to wild-type are described. …”
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Quantum-Inspired Hyperheuristic Framework for Solving Dynamic Multi-Objective Combinatorial Problems in Disaster Logistics by Kassem Danach, Hassan Harb, Louai Saker, Ali Raad

“…Disaster logistics presents a highly complex decision-making challenge under conditions of uncertainty, where the timely and efficient allocation of scarce resources is essential to minimize human suffering. …”
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Enhanced Workload Prediction in Data Centers Using Two-Stage Decomposition and Hybrid Parallel Deep Learning by Dalal Alqahtani, Hamidreza Imani, Tarek El-Ghazawi

“…Workload prediction is one of the most basic requirements in developing cost and energy-efficient Cloud Data Centers (CDCs). Most traditional approaches have suffered from noise and failed to capture the complex dynamic patterns in workload data, reducing their accuracy. …”
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Relationships between egg-recognition and egg-ejection in a grasp-ejector species. by Manuel Soler, Francisco Ruiz-Raya, Gianluca Roncalli, Juan Diego Ibáñez-Álamo

“…Brood parasitism frequently leads to a total loss of host fitness, which selects for the evolution of defensive traits in host species. …”
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An Innovative Green Dust Suppressant for Dry Climate Mining Areas in a Copper–Nickel Mine: Integration of Moisture Retention and Erosion Resistance by Zijun Li, Zhe Zhou, Yu Xu, Yin Chen

“…While dust suppressants are more efficient than the commonly used sprinkling methods in mines, traditional single-function dust suppressants are inadequate for the complex application environment of mine ramps. …”
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CRISPR/Cas9-based genetic screen of SCNT-reprogramming resistant genes identifies critical genes for male germ cell development in mice by Most Sumona Akter, Masashi Hada, Daiki Shikata, Gen Watanabe, Atsuo Ogura, Shogo Matoba

“…Abstract Male germ cells undergo complex developmental processes eventually producing spermatozoa through spermatogenesis, although the molecular mechanisms remain largely elusive. …”
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SiMBA-Augmented Physics-Informed Neural Networks for Industrial Remaining Useful Life Prediction by Min Li, Jianfeng Qin, Haifeng Fan, Ting Ke

“…The framework achieves dynamic fusion of data-driven features and physical laws through a two-branch synergistic mechanism: the temporal modeling branch combines selective state-space SiMBA with Einstein Fast Fourier Transform (EinFFT)-based spectral mixing to efficiently capture cross-sensor temporal dependencies and degradation trends, while the physics-constraint branch embeds automatically differentiable partial differential equation residuals derived from domain-specific degradation mechanisms, enforcing physical consistency through deep hidden physics modeling. …”
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Parents\' lived experience of parenting challenges after divorce: A phenomenological study by Roya Hamidi, Sedigheh Ahmadi, Hassan Heydari

“…A total of 16 individuals actively engaged in parenting following divorce were selected as research participants. These participants were recruited through purposeful sampling, ensuring maximum diversity, and were drawn from individuals referred to Family Court Complex 1 in Tehran. …”
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Advances in machine transliteration methods, limitations, challenges, applications and future directions by A’la Syauqi, Aji Prasetya Wibawa

“…Using the PRISMA framework, this review analyzes 73 selected studies on machine transliteration, covering both methodological advancements and its role in NLP applications. …”
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Screening of metal additives in ABS polymer fuel for enhanced performance in hybrid rocket motors: A computational analysis using CEA by Gail Ndlovu, Bilainu Oboirien, Patrick Ndungu

“…This study investigates the potential of metal additives in acrylonitrile butadiene styrene (ABS) polymer fuel to enhance hybrid rocket motor (HRM) performance through computational analysis, Chemical Equilibrium with Applications (CEA), software. ABS was selected as the base fuel due to its thermoplastic nature, which allows for the creation of complex fuel geometries through 3D printing, offering significant flexibility in fuel design. …”
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Screening and Validation: AI-Aided Discovery of Dipeptidyl Peptidase-4 Inhibitory Peptides from Hydrolyzed Rice Proteins by Cheng Cheng, Huizi Cui, Xiangyu Yu, Wannan Li

“…Peptides generated by simulated enzymatic hydrolysis were screened based on machine learning and docking scores, and four proline-rich peptides (PPPPPPPPA, PPPSPPPV, PPPPPY, and CPPPPAAY) were selected for MD analysis. The simulation results showed that PPPSPPPV formed a stable complex with the DPP-4 catalytic triad (Ser592–Asp670–His702) through electrostatic and hydrophobic interactions, with low structural fluctuation (RMSF < 1.75 Å). …”
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An Optimal Integral Fast Terminal Synergetic Control Scheme for a Grid-to-Vehicle and Vehicle-to-Grid Battery Electric Vehicle Charger Based on the Black-Winged Kite Algorithm by Ishak Aris, Yanis Sadou, Abdelbaset Laib

“…The management of power flow in both directions is highly complex and sensitive, which requires employing a robust control scheme. …”
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