Dynamically Cyclic Fe2+/Fe3+ Active Sites as Electron and Proton-Feeding Centers Boosting CO2 Photoreduction Powered by Benzyl Alcohol Oxidation by Ben Lei, Gaofeng Zhou, Zhongyou Gong, Chao Liu, Ying Zhou, Vitaliy P. Guro, Yanjuan Sun, Jianping Sheng, Fan Dong

“…Solar-driven CO2 photoreduction holds promise for sustainable fuel and chemical productions, but the complex proton-coupled multi-electron transfer processes and sluggish oxidation half-reaction kinetics substantially hinder its efficiency. …”
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ATLAS-seq: a microfluidic single-cell TCR screen for antigen-reactive TCRs by Siwei Luo, Amber Notaro, Lan Lin

“…ATLAS-seq identifies distinct TCR clonotype populations with higher T cell activation levels compared to TCRs recovered by MHC multimer staining. Select TCR clonotypes from ATLAS-seq are more efficient in target cell killing than those from MHC multimer staining. …”
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Biophysical and Morphometric Characteristics of Sunflower Achenes: Implications for Industrial Processing and Byproduct Utilization by Jelena Ovuka, Jelena Jocković, Milan Jocković, Siniša Jocić, Sonja Gvozdenac, Miloš Krstić, Dušica Jovičić

“…Their byproducts indicate a complex interrelationship among the analyzed traits. …”
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Numerical Simulation of Multi-Cluster Fracture Propagation in Marine Natural Gas Hydrate Reservoirs by Lisha Liao, Youkeren An, Jinshan Wang, Yiqun Zhang, Lerui Liu, Meihua Chen, Yiming Gao, Jiayi Han

“…Natural gas hydrates (NGHs) are promising energy resources, although their marine exploitation is limited by low reservoir permeability and hydrate decomposition efficiency. Multi-cluster fracturing technology can enhance reservoir permeability, yet complex properties of hydrate sediments render the prediction of fracture behavior challenging. …”
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Dimerization of ADAR1 modulates site-specificity of RNA editing by Allegra Mboukou, Vinod Rajendra, Serafina Messmer, Therese C. Mandl, Marjorie Catala, Carine Tisné, Michael F. Jantsch, Pierre Barraud

“…Notably, dimerization disruption did not abrogate ADAR1 editing activity but intricately affected editing efficiency at selected sites. This suggests a complex role for dimerization in the selection of editing sites by ADARs, and makes dimerization a potential target for modulating ADAR1 editing activity.…”
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Impact of ISTA and FISTA iterative optimization algorithms on electrical impedance tomography image reconstruction by Nguyen Diep Quoc Tuan, Huynh Hoang Nhut, Ven Huynh Thanh, Cao Dinh Minh Quan, Tran Anh Tu, Tran Trung Nghia

“…Iterative algorithms are widely employed to address complex inverse problems. However, current iterative methods have notable limitations, such as the arbitrary and subjective selection of initial parameters, lengthy computational times due to numerous iterations, and the generation of reconstructions that suffer from shape blurring and a lack of higher-order detail. …”
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Data-Driven Battery Remaining Life Prediction Based on ResNet with GA Optimization by Jixiang Zhou, Weijian Huang, Haiyan Dai, Chuang Wang, Yuhua Zhong

“…As lithium batteries are widely used in mobile electronic devices and electric vehicles, accurately assessing the Remaining Useful Life (RUL) of lithium-ion batteries is crucial to ensure the stable operation of the devices, improve energy efficiency, and safeguard user safety. Although data-driven methods show good prediction potential without the need to understand the reaction mechanism inside the battery, they face the problems of high data demand and feature redundancy that may reduce the model learning accuracy in practical applications. …”
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HiDRA-DCDNet: Dynamic Hierarchical Attention and Multi-Scale Context Fusion for Real-Time Remote Sensing Small-Target Detection by Jiale Wang, Zhe Bai, Ximing Zhang, Yuehong Qiu, Fan Bu, Yuancheng Shao

“…With 8.1 GFLOPs computational complexity and 2.6 ms inference speed per image, our framework demonstrates practical efficacy for real-time remote sensing applications, achieving superior accuracy–efficiency trade-off compared to existing approaches.…”
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Trade-offs between machine learning and deep learning for mental illness detection on social media by Zhanyi Ding, Zhongyan Wang, Yeyubei Zhang, Yuchen Cao, Yunchong Liu, Xiaorui Shen, Yexin Tian, Jianglai Dai

“…Machine learning (ML) and deep learning (DL) models have been increasingly applied to classify mental health conditions from textual data, but selecting the most effective model involves trade-offs in accuracy, interpretability, and computational efficiency. …”
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Assessing the well-being of PhD scholars: a scoping review by Naheed Mahsood, Usman Mahboob, Muhammad Asim, Neelofar Shaheen

“…Abstract Background Gaining insight into the well-being of PhD scholars is essential for cultivating a nurturing academic environment that boosts their efficiency and adds to the overall excellence of higher education. …”
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Student scientific circle as a necessary component of higher medical education by V. N. Larina, E. V. Kudina, K. R. Mikava

“…The greatest attention in the SSC of the Department of Polyclinic Therapy should be given to clinical reviews of patients with complex diagnoses and problems in the selection of therapy, work with real examination results, including ECG, the continuity of the theoretical knowledge gained with their practical application. …”
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Multi-objective optimization for smart cities: a systematic review of algorithms, challenges, and future directions by YiFan Chen, Weng Howe Chan, Eileen Lee Ming Su, Qi Diao

“…With the growing complexity and interdependence of urban systems, multi-objective optimization (MOO) has become a critical tool for smart-city planning, sustainability, and real-time decision-making. …”
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Enhancement of rime algorithm using quadratic interpolation learning for parameters identification of photovoltaic models by Shazly A. Mohamed, Abdullah M. Shaheen, Mohammed H. Alqahtani, Badr M. Al Faiya

“…Abstract Accurate parameter estimation in photovoltaic (PV) models is essential for optimizing solar energy systems, enhancing their efficiency, and ensuring precise performance predictions. …”
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Strategic innovations and future directions in deep learning for engineering applications: a systematic literature review by Arianna G. Tobias, Javeed Kittur

“…Key trends include strategic deep learning model development, practical evaluation frameworks, and the optimization of efficiency. However, research gaps remain in scalability, model interpretability, and real-world implementation.ConclusionsThis study underscores DL's transformative potential in engineering while identifying critical research gaps and opportunities. …”
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APPA: An adaptation path planning algorithm for real-time obstacle avoidance in multi-robot systems by Jianzhi Jin, Mou Wu, Ping Fan, Guonian Jin

“…To enhance both planning efficiency and coordination, APPA integrates a reward mechanism that balances goal orientation and obstacle avoidance. …”
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Towards an intelligent integrated methodology for accurate determination of volume percentages in three-phase flow systems by Abdullah M. Iliyasu, Mohammad Sh. Daoud, Ahmed Sayed Salama, John William Grimaldo Guerrero, Kaoru Hirota

“…Further, through iterative elimination and re-evaluation, the algorithm refines the feature set, retaining only those with the highest relevance to the three-phase fluid composition. This feature selection process optimises the performance of subsequent machine learning models, streamlining the input space for enhanced interpretability and efficiency. …”
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Royal Society report: what would a comprehensive evaluation suggest about non-pharmaceutical interventions during COVID-19? by Elisabeth Paul, Garrett W. Brown, David Bell, Jean Merlin von Agris, Valéry Ridde

“…This paper performs a critical analysis of the Royal Society report and explains what a proper evaluation of NPIs would mean, arguing that theory-based evaluations are required to approach complex issues and nurture democratic debates on societal choices. …”
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THE CONSTRUCTION OF A TYPOLOGY OF BRANCH BANKS ON THE BASIS OF CLUSTER ANALYSIS AND NEURAL NETWORKS by D. S. Kurushin, E. E. Vasilyeva

“…The article analyzes Russia’s banking system, which is a complex, multi-layered, hierarchically organized system in which there exist different stable groups of banks. …”
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Roots of resilience: Optimizing microbe‐rootstock interactions to enhance vineyard productivity by Davide Francioli, Timo Strack, Leonie Dries, Kai Peter Voss‐Fels, Christoph‐Martin Geilfus

“…Summary The productivity and resilience of vineyards are influenced by complex interactions between grapevine rootstocks and the surrounding soil microbiome. …”
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PTML models of self assembled ligand free nanoparticle catalysts for cross coupling reactions by Andrea Ruiz-Escudero, Zuriñe Serna-Burgos, Sonia Arrasate, Humberto González-Díaz

“…Abstract Cross-coupling reactions have transformed the synthesis of complex and valuable compounds used in pharmaceuticals, materials science, and chemical synthesis. …”
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