A Multi‐Objective Molecular Generation Method Based on Pareto Algorithm and Monte Carlo Tree Search by Yifei Liu, Yiheng Zhu, Jike Wang, Renling Hu, Chao Shen, Wanglin Qu, Gaoang Wang, Qun Su, Yuchen Zhu, Yu Kang, Peichen Pan, Chang‐Yu Hsieh, Tingjun Hou

“…Abstract Drug discovery faces increasing challenges in identifying novel drug candidates satisfying multiple stringent objectives, such as binding affinity, protein target selectivity, and drug‐likeness. Existing optimization methods struggle with the complexity of handling numerous objectives, limiting advancements in molecular design as most algorithms are only effective for up to four optimization objectives. …”
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Bioinformatics Analysis of Opioids: Correlating Physicochemical Properties with Pharmacokinetics, Pharmacodynamics, and Molecular Interactions by Alexandra Loredana ALMĂŞAN, Maria MERNEA

“…Pharmacokinetic and toxicity predictions suggest that lipophilic opioids cross the blood-brain barrier more efficiently, enhancing analgesic potential but also increasing side effects. …”
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New forgery attack on the authenticated cipher SCREAM and iSCREAM by Yu-dan TIAN, Yong-zhuang WEI

“…Authentication encryption algorithms have been widely used in networks security system since these al-gorithms can efficiently provide both privacy and integrity measurement for data transmission. …”
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Effect of Electron Donor Groups on Optoelectronic Properties of Betalain Dyes: A DFT Study by Melkizedeck Hiiti Tsere, Rene Costa, Geradius Deogratias, Tatiana Pogrebnaya, Alexander Pogrebnoi, Revocatus Machunda, Ohoud S. Al‐Qurashi, Nuha Wazzan, Nambury Surendra Babu

“…The investigated sensitizers exhibit maximum absorption between 400 and 442 nm with light‐harvesting efficiencies exceeding 93%. Favorable interactions are observed between the dyes and the hydrogenated TiO2 cluster, (TiO2)6H3. …”
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A Cooperative Trajectory Optimization Algorithm for Connected Vehicles in Merging Zones by Hao Li, Yun Pu, Lingjuan Chen, Yu Wang

“…The cooperative optimization algorithm could be applied efficiently in practice and benefit from its rapid response and low computation complexity.…”
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Kolmogorov–Arnold Networks for Reduced-Order Modeling in Unsteady Aerodynamics and Aeroelasticity by Yuchen Zhang, Han Tang, Lianyi Wei, Guannan Zheng, Guowei Yang

“…Results demonstrate that the proposed model can not only accurately and efficiently predict unsteady aerodynamic coefficients, but also effectively capture nonlinear aeroelastic responses.…”
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The Fluorescent Sensing of BF₃ and Amines: A Dual Approach with Hydrazone Ligands by Haichao Ye, Liqin Liu, Dagang Shen, Chang Song, Huanhuan Wang

“…BF₃ detection can also be efficiently performed using test strips for convenient, air-based applications. …”
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Modeling the effects of radiation on the bone tumor microenvironment: opportunities for exploring combination therapies in microphysiologic systems by Kailey N. Jackett, Devin L. DaPonte, Pranav Soman, Jason A. Horton

“…We critically evaluate contemporary model systems, including MPS, and offer suggestions for how these systems can be used to efficiently model the intersection of skeletal radiobiology and bone cancer, and accelerate development of combination therapies. …”
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Deep Reinforcement Learning for Dynamic Pricing and Ordering Policies in Perishable Inventory Management by Yusuke Nomura, Ziang Liu, Tatsushi Nishi

“…To solve this problem more efficiently, we also implement a deep reinforcement learning algorithm, proximal policy optimization, to solve this problem. …”
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Sign-Entropy Regularization for Personalized Federated Learning by Koffka Khan

“…Motivated by Descartes’ Rule of Signs, we hypothesize that frequent sign changes in gradient trajectories reflect complexity in the local loss landscape. By minimizing the entropy of gradient sign patterns during local updates, SER encourages smoother optimization paths, improves convergence stability, and enhances personalization. …”
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Benchmarking Big Data Systems: Performance and Decision-Making Implications in Emerging Technologies by Leonidas Theodorakopoulos, Aristeidis Karras, Alexandra Theodoropoulou, Georgios Kampiotis

“…In this study, we benchmark another two widely utilized graph processing systems, Apache Spark GraphX and Apache Fink, concerning the key performance criterion by means of response time, scalability, and computational complexity. We demonstrate our results which show the capability of each system for real-world graph applications, and hence, providing a quantitative understanding to select the system for our purpose. …”
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Adaptive Neuro-Fuzzy System for Detection of Wind Turbine Blade Defects by Lesia Dubchak, Anatoliy Sachenko, Yevgeniy Bodyanskiy, Carsten Wolff, Nadiia Vasylkiv, Ruslan Brukhanskyi, Volodymyr Kochan

“…The proposed adaptive neuro-fuzzy inference system processes the data vectors with lower complexity and higher accuracy. For this purpose, the authors explored grid partitioning and subtractive clustering methods and selected the last one because it uses three rules only for fault detection, ensuring low computational costs and enabling the discovery of wind turbine defects quickly and efficiently. …”
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Three-Dimensional Plant Model Development Through Image Recognition by Yuya Hosoda, Ganzurkh Bilguun, Jin Oboshi, Hitoshi Goto

“…Finally, we construct a vector-search system incorporating k-means clustering and dimensionality reduction to limit the search scope and minimize computational complexity. Experimental results show that the proposed method efficiently obtains the most similar 3D model in the database, achieving a mean reciprocal rank of 0.90 and a search time of 0.003 s per query.…”
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Invasive Aquatic Weeds Suppress Predator–Prey Cascades: Evidence from a Mesocosm Study by Pierre William Froneman

“…Submerged macrophytes can profoundly influence interactions between aquatic predators and their prey due to changes in foraging efficiencies, pursuit time and swimming behaviors of predator–prey participants. …”
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Screening of novel therapeutic targets and chimeric vaccine construction against antibiotic-resistant Yersinia Enterocolitica by Mohibullah Shah, Mohibullah Shah, Rouman Fatima, Asifa Sarfraz, Muhammad Umer Khan, Hasan Ejaz, Maqsood Alam, Shahid Aziz, Umar Nishan, Abid Ali, Ahmed Bari, Suvash Chandra Ojha

“…Four vaccine constructs were designed using the selected epitopes by adding the appropriate adjuvants and linkers. …”
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Advanced ecosystem restoration: Blending phytoremediation with satellite-based imagery with remote sensing in the Himalayas of PIN Valley National Park, India by A. Galodha, D. Sharma, J. Verma

“…Despite challenges, such as spectral complexity and atmospheric variability, spectral data delineates metal-induced stress markers in vegetation, underscoring phytoremediation's potential. …”
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Transforming Retinal Photographs to Entropy Images in Deep Learning to Improve Automated Detection for Diabetic Retinopathy by Gen-Min Lin, Mei-Juan Chen, Chia-Hung Yeh, Yu-Yang Lin, Heng-Yu Kuo, Min-Hui Lin, Ming-Chin Chen, Shinfeng D. Lin, Ying Gao, Anran Ran, Carol Y. Cheung

“…Entropy images, representing the complexity of original fundus photographs, may strengthen the contrast between diabetic retinopathy (DR) lesions and unaffected areas. …”
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Metabolic-imaging of human glioblastoma live tumors: A new precision-medicine approach to predict tumor treatment response early by Mariangela Morelli, Francesca Lessi, Serena Barachini, Serena Barachini, Romano Liotti, Romano Liotti, Nicola Montemurro, Paolo Perrini, Orazio Santo Santonocito, Carlo Gambacciani, Matija Snuderl, Francesco Pieri, Filippo Aquila, Azzurra Farnesi, Antonio Giuseppe Naccarato, Paolo Viacava, Francesco Cardarelli, Gianmarco Ferri, Gianmarco Ferri, Paul Mulholland, Diego Ottaviani, Fabiola Paiar, Gaetano Liberti, Francesco Pasqualetti, Francesco Pasqualetti, Michele Menicagli, Paolo Aretini, Giovanni Signore, Sara Franceschi, Chiara Maria Mazzanti

“…This therapeutic standstill is primarily due to preclinical approaches that do not fully respect the complexity of GB cell biology and fail to test efficiently anti-cancer treatments. …”
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Direct oral penicillin challenge in secondary care with low-risk patients: the SPACE mixed-methods study with cost-effectiveness analysis by Mamidipudi Thirumala Krishna, Yogini H Jani, Iestyn Williams, Ruben Mujica-Mota, Rebecca Bestwick, Michele Siciliano, Robert Michael West, Rashmeet Bhogal, Bee Yean Ng, Kornelija Kildonaviciute, Rachel Pollard, Nicola Jones, Louise Dunsmure, Mairead McErlean, Neil Powell, Chidanand C Hullur, Ariyur Balaji, Jonathan Sandoe, Amena Warner, Ron Daniels, Caroline Thomas, Siraj A Misbah, Louise Savic

“…This differential training may have been reflected in the greater confidence of pharmacists to risk stratify and de-label patients. …”
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Optimising neonatal services for very preterm births between 27+0 and 31+6 weeks gestation in England: the OPTI-PREM mixed-methods study by Thillagavathie Pillay, Oliver Rivero-Arias, Natalie Armstrong, Sarah E Seaton, Miaoqing Yang, Victor L Banda, Kelvin Dawson, Abdul QT Ismail, Vasiliki Bountziouka, Caroline Cupit, Alexis Paton, Bradley N Manktelow, Elizabeth S Draper, Neena Modi, Helen E Campbell, Elaine M Boyle

“…Discussions and reviews of how resources are employed in neonatal units are required to optimise efficiency of staff working, and improve experiences of neonatal care for babies, parents and families. …”
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