M01 tool: an automated, comprehensive computational tool for generating small molecule-peptide hybrids and docking them into curated protein structures by Mahsa Sheikholeslami, Mohammad Hasan Nazari, Afshin Fassihi

“…Conclusions The M01 tool represents a significant advancement in computational drug design, streamlining the process of creating hybrid molecules and conducting docking studies. Its ability to automate complex workflows and provide essential molecular insights can empower researchers and enhance the development of novel therapeutics, ultimately contributing to more efficient drug discovery efforts.…”
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Optimizing UAV Location for Deployment in Cell-Free Massive MIMO Networks Using a Soft Actor-Critic Reinforcement Learning by Okello Kenneth, Elijah Mwangi, Dominic Bernard Onyango Konditi

“…We employ a hybrid user association mechanism that combines gradient descent and an enhanced K-means algorithm for efficient user-to-UAV cluster assignment. Simulation results indicate that the SAC-based deployment considerably outperforms traditional static K-means gradient descent-based deployments, achieving a throughput gain of 152.93 Mbps and overall channel capacity gain of 15.709 Gbps. …”
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A Cognitive Radio Enabled RF/FSO Communication Model for Aerial Relay Networks: Possible Configurations and Opportunities by Eylem Erdogan, Ibrahim Altunbas, Nihat Kabaoglu, Halim Yanikomeroglu

“…Two emerging technologies, cognitive radio (CR) and free-space optical (FSO) communication, have created much interest both in academia and industry recently as they can fully utilize the spectrum while providing cost-efficient secure communication. In this article, motivated by the mounting interest in CR and FSO systems and by their ability to be rapidly deployed for civil and military applications, particularly in emergency situations, we propose a CR enabled radio frequency (RF)/FSO communication model for an aerial relay network. …”
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An Adaptive Intrusion Detection System for Evolving IoT Threats: An Autoencoder-FNN Fusion by J. Jasmine Shirley, M. Priya

“…The proposed model integrates an Autoencoder for feature extraction with a Feedforward Neural Network for classification, creating a fusion that enhances the precision and efficiency of intrusion detection. The Autoencoder captures and reduces the dimensionality of high-dimensional IoT network traffic data, and the FNN distinguishes between normal network behaviour and various intrusion patterns by leveraging its ability to model nonlinear relationships. …”
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Optimization of Home Energy Management Systems in Smart Cities Using Bacterial Foraging Algorithm and Deep Reinforcement Learning for Enhanced Renewable Energy Integration by Mohammed Naif Alatawi

“…The study systematically addresses the pressing challenge of enhancing residential energy efficiency, focusing on dynamic appliance scheduling within HEMS. …”
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Optimizing nanoparticle selection for enhanced oil recovery in carbonate rock using hybrid low salinity water flooding by Sunlee Han, Youngsoo Lee

“…Notably, hydrophobic Al2O3 NPs achieved the most substantial reduction in capillary pressure, facilitating an earlier breakthrough and enhanced oil displacement efficiency. Among all injection fluids, LSW/Al2O3 emerged as the optimal choice, delivering faster and more efficient oil recovery compared to DI/NP systems. …”
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BA-AMST: A blockchain-assisted anonymous and multi-keyword searchable-traceable data sharing system in Industrial Internet of Things by Leyou Zhang, Runze Tian, Qing Wu, Fatemeh Rezaeibagha

“…A crucial initial step in this process is the ability to perform fast and efficient keyword searches to help users locate the required data within vast datasets. …”
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Integrated Analytical Modeling and Numerical Simulation Framework for Design Optimization of Electromagnetic Soft Actuators by Hussein Zolfaghari, Nafiseh Ebrahimi, Yuan Ji, Xaq Pitkow, Mohammadreza Davoodi

“…The growing interest in soft robotics arises from their unique ability to perform tasks beyond the capabilities of rigid robots, with soft actuators playing a central role in this innovation. …”
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A Target Near-Field Scattering Measurement Technique Utilizing 3D Near-Field Imaging via Cylindrical Scanning by Zongkai Yang, Jingcheng Zhao, Weikang Si, Changyu Lou, Xin Zhao, Jungang Miao

“…Radar target near-field scattering characteristics are essential for the identification of target properties and the improvement of target recognition. Nevertheless, the efficiency of current precision three-dimensional (3D) imaging algorithms in near-field scattering measurements is restricted by their substantial computational complexity. …”
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A Novel Approach to Determine the Type of Conductivity in Semiconductors Using a Combined Seebeck and Peltier Effects by Nora Faik Numan, Omar A. Abdulrazzaq, Sura Noori Atewi, Hussein Ali, Mohamed Hedi Bedoui

“…This study presents the device’s efficiency, particularly its rapid response to temperature fluctuations and its capability for precise thermal regulation in practical applications. …”
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Three Strategies Enhance the Bionic Coati Optimization Algorithm for Global Optimization and Feature Selection Problems by Qingzheng Cao, Shuqi Yuan, Yi Fang

“…The bionic ABCCOA algorithm was tested on the CEC2020 test functions and engineering problem, achieving an over 90% optimization success rate and faster convergence, confirming its efficiency. Applied to 27 FS problems, it outperformed comparative algorithms in best, average, and worst fitness function values, classification accuracy, feature subset size, and running time, proving it an efficient and robust FS algorithm.…”
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Formulation challenges associated with microbial biofertilizers in sustainable agriculture and paths forward by Ayomide Emmanuel Fadiji, Chao Xiong, Eleonora Egidi, Brajesh K. Singh

“…They are widely known for their ability to improve plant growth via increasing nutrient availability and use efficiency. …”
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Research on electromagnetic ultrasonic guided wave and eddy current composite detection method for cracks in aircraft aluminum alloy thin-wall sheet by MA Miandong, YU Hongwei, MA Rong, ZHOU Xin, FAN Xueling

“…The results show that the proposed detection method can reduce the effective detection area to a certain extent, improve the detection efficiency, and achieve all-round and efficient detection of defects in aluminum alloy thin-walled plates. …”
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MGL-YOLO: A Lightweight Barcode Target Detection Algorithm by Yuanhao Qu, Fengshou Zhang

“…Due to the critical importance of one-dimensional barcode detection in logistics, retail, and manufacturing, which has become a key issue affecting operational efficiency, researchers have shown increasing interest in this area. …”
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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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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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MODELLING OF CRACK PROPAGATION: COMPARISON OF DISCRETE LATTICE SYSTEM AND COHESIVE ZONE MODEL by Karel Mikeš, Franz Bormann, Ondřej Rokoš, Ron H.J. Peerlings

“…Simplifications therefore need to be adopted, which allow for efficient yet accurate modelling of engineering applications. …”
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Surface-Modified Carbon Dots for Cancer Therapy: Integrating Diagnostic and Therapeutic Applications by González M, Romero MP

“…Gene therapy applications take advantage of the ability of CDs to condense and protect genetic material from degradation, thereby facilitating efficient cellular uptake. …”
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Multi-sensor fusion and segmentation for autonomous vehicle multi-object tracking using deep Q networks by K. Vinoth, P. Sasikumar

“…The dense net-based multi-image fusion gives more efficiency and a high memory in terms of fast processing time. …”
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