Inhibitors of the interferon response enhance virus replication in vitro. by Claire E Stewart, Richard E Randall, Catherine S Adamson

“…Virus replication efficiency is influenced by two conflicting factors, kinetics of the cellular interferon (IFN) response and induction of an antiviral state versus speed of virus replication and virus-induced inhibition of the IFN response. …”
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Multi-Step Peak Passenger Flow Prediction of Urban Rail Transit Based on Multi-Station Spatio-Temporal Feature Fusion Model by Jianan Sun, Xiaofei Ye, Xingchen Yan, Tao Wang, Jun Chen

“…Accurate prediction of station passenger flow is crucial for optimizing rail transit efficiency, but peak passenger flow in urban rail transit (URT) is often disrupted by random events, making predictions challenging. …”
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Artificial intelligence-powered dentistry: Probing the potential, challenges, and ethicality of artificial intelligence in dentistry by Abid Rahim, Rabia Khatoon, Tahir Ali Khan, Kawish Syed, Ibrahim Khan, Tamsal Khalid, Balaj Khalid

“…In the recent era of automation, the consolidation of artificial intelligence (AI) in dentistry has rendered transformation in oral healthcare from a hardware-centric approach to a software-centric approach, leading to enhanced efficiency and improved educational and clinical outcomes. …”
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Zinc-doped curcumin carbon dots promote infected wound healing with photodynamic via the VEGF signaling pathway by Yifan Zhao, Jia Liu, Lingxiang Sun, Haiyan Liu, Xi Chen, Xuedong Deng, Yilin Ping, Wenze Han, Jing Wang, Feng Tian, Jingyu Yan, Xiuping Wu, Bing Li

“…In addition, CCDs have the ability to promote cell proliferation and extension, accelerate blood vessel formation and collagen deposition, and significantly improve wound healing efficiency by modulating the VEGF signaling pathway. …”
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Only Detect Broilers Once (ODBO): A Method for Monitoring and Tracking Individual Behavior of Cage-Free Broilers by Chengcheng Yin, Xinjie Tan, Xiaoxin Li, Mingrui Cai, Weihao Chen

“…In commercial poultry farming, automated behavioral monitoring systems hold significant potential for optimizing production efficiency and improving welfare outcomes at scale. …”
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Synthesis and characterization of nano Fe2CuAl2O7 as a reusable catalyst for Biginelli reaction by Keshtiban Marzieh M., Nikoo Abbas, Massoumi Bakhshali

“…Fe2CuAl2O7 NPs were used as a catalyst for the Biginelli reaction. 3,4- -Dihydropyrimidine-2(1H)-one/thione derivatives were prepared in the presence of Fe2CuAl2O7 nanocatalyst with short time and 75–97 % efficiency in water. In addition, the recovery and the reuse of the Fe2CuAl2O7 nanocatalyst was done up to five times without significant change in catalytic ability.…”
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Adjoint-Assisted Shape Optimization of Microlenses for CMOS Image Sensors by Rishad Arfin, Jens Niegemann, Dylan McGuire, Mohamed H. Bakr

“…One of the fundamental factors determining the sensor’s ability to capture high-resolution images is its efficiency in focusing the visible light onto the photosensitive region of the submicron scale. …”
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Improved dielectric performance of graphene oxide reinforced plasticized starch. by Eashika Mahmud, Shafiqul I Mollik, Muhammad Rakibul Islam

“…Their significance lies in their ability to enhance the performance and efficiency of a wide range of devices and systems. …”
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A new drainage staircase design for separating pedestrian traffic and surface runoff: a numerical and conceptual approach by Paloma Chaves Menezes, André Luiz Andrade Simões, Luciano Matos Queiroz, Gemima Santos Arcanjo, Harry Edmar Schulz, Rodrigo de Melo Porto

“…The results obtained through computational fluid dynamics showed consistency with experimental data regarding dissipated energy and flow regime predictions, confirming the proposed model. The staircase efficiency for the three tested flow conditions—measured by its ability to divert surface runoff to the lateral sections—exceeded 90%, validating the initial hypothesis that the central section remains free for pedestrian movement during rainfall events. …”
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Instruction and demonstration-based secure service attribute generation mechanism for textual data by LI Chenhao, WANG Na, LIU Aodi

“…Traditionally, the calibration of secure service attribute for textual data has been primarily reliant on human experts and machine learning methods, yet the efficiency and few-shot ability are insufficient. Moreover, traditional approaches have predominantly utilized entities in textual data as service attributes, resulting in coarse granularity, uncontrollable scale and management level, further leading to the problem of attribute-space explosion. …”
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Challenges and Advances in Materials and Fabrication Technologies for the Development of p-GaN Gated E-Mode AlGaN/GaN Power HEMTs: A Critical Review by J. Ajayan, Vakkalakula Bharath Sreenivasulu, N. Aruna Kumari, S. Sreejith, Subhajit Das

“…GaN-based power high electron mobility transistors (HEMTs) are a popular choice for a variety of power electronic applications due to their excellent efficiency and ability to deliver high power density. …”
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Nanoscale Therapeutic System: Safety Assessment Features by E. M. Bovina, B. K. Romanov, A. S. Kazakov, N. Yu. Velts, E. O. Zhuravleva, T. M. Bukatina, R. N. Alyautdin, V. A. Merkulov

“…Further development of the regulatory framework governing the development, quality, efficiency and safety of nanomaterials in medicine is necessary, taking into account the structural issues of the active substance and nano-carriers.…”
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Multi-Objective Cooperative Adaptive Cruise Control Platooning of Intelligent Connected Commercial Vehicles in Event-Triggered Conditions by Jiayan Wen, Lun Li, Qiqi Wu, Kene Li, Jingjing Lu

“…Additionally, adaptive particle swarm optimization (APSO) is employed during the optimization process to solve the optimal problem efficiently. APSO is employed for its computational efficiency and adaptability, ensuring quick convergence to optimal solutions with reduced overheads. …”
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Application of a novel metaheuristic algorithm inspired by connected banking system in truss size and layout optimum design problems and optimization problems by Mehrdad Nemati, Yousef Zandi, Jamshid Sabouri

“…Statistical analyses are done to have a fair evaluation of the CBSO algorithm’s efficiency and its ability in dealing with the benchmark truss size/layout optimization problems. …”
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Joint Optimization of EV Charging and Renewable Distributed Energy With Storage Systems Under Uncertainty by Talal Alharbi, Ahmed Abdalrahman, Mostafa H. Mostafa, Loay Alkhalifa

“…These issues can be mitigated by integrating Energy Storage Systems (ESSs) to enhance efficiency. This study presents an integrated planning approach to optimize the allocation of EVCSs based on the spatial-temporal distribution of traffic flows. …”
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Design and Application of Mesoporous Catalysts for Liquid-Phase Furfural Hydrogenation by Hyeongeon Lee, Shinjae Lee, Kwangjin An

“…By integrating these insights, this review provides a comprehensive perspective on the development of efficient and sustainable catalytic systems for biomass valorization.…”
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Comparison of Classical Arima Forecasting Methods to the Machine Learning LSTM Method: a Case Study on DAX® 50 ESG Index by Rosinus, Manuel

“…Originality/Value: The findings suggest that while the LSTM's ability to capture nonlinear patterns offers a forecasting edge, the improvement is incremental in a highly liquid and efficient market. …”
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Novel Data-Driven PDF Modeling in FGM Method Based on Sparse Turbulent Flame Data by Guihua Zhang, Jiayue Liu, Yuxin Wu, Guangxi Yue

“…The Flamelet Generated Manifold (FGM) method is widely employed in turbulent combustion simulations due to its high accuracy and computational efficiency. However, the model’s ability to capture turbulent combustion interactions is limited by the shape of the presumed probability density function (PDF) of the mixture fraction and progress variable. …”
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Time-domain thermoreflectance technique using multiple delayed probe pulses for high-throughput data acquisition and analysis by Hiroto Arima, Yuichiro Yamashita, Takashi Yagi

“…To advance thermal control technology, improve thermal reuse efficiency, and further enhance device performance, it is crucial to understand microscopic spatial and temporal heat transport in materials. …”
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Hardware Module Design and Software Implementation of Multisensor Fire Detection and Notification System Using Fuzzy Logic and Convolutional Neural Networks (CNNs) by Robert A. Sowah, Kwaku Apeadu, Francis Gatsi, Kwame O. Ampadu, Baffour S. Mensah

“…Convolutional Neural Networks are mainstream methods of deep learning due to their ability to perform feature extraction and classification in the same architecture. …”
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