Interaction of the Antibiotic Rifampicin with Lipid Membranes by Rui M. S. Santos, Jaime Samelo, Alexandre C. Oliveira, Margarida M. Cordeiro, Maria Julia Mora, Gladys E. Granero, Hugo A. L. Filipe, Luís M. S. Loura, Maria João Moreno

“…It is a relatively large and structurally complex molecule, including numerous polar groups. …”
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Implementation of YOLOv7 Model for Human Detection in Difficult Conditions by Arijal B, Andi Sunyoto, M. Hanafi

“…The three YOLOv7 models tested in this study are YOLOv7x.pt, YOLOv7-w6-person.pt, and YOLOv7-w6-pose.pt. These models were selected based on their excellence in detecting human objects and their relevance for complex scenarios. …”
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Gram‐Scale Preparation of Tri‐Coordinated Single‐Atom Catalysts for CO2 Electrolysis in Large‐Scale Membrane Electrode Assembly by Lei Yuan, Xin Li, Guilin Li, Kuilin Peng, Hongyu Zhang, Shaojuan Zeng, Xiaofu Sun, Xiangping Zhang

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Enhanced Broad-Learning-Based Dangerous Driving Action Recognition on Skeletal Data for Driver Monitoring Systems by Pu Li, Ziye Liu, Hangguan Shan, Chen Chen

“…The BLS model, optimized with sparse feature selection and Principal Component Analysis (PCA), ensures efficient processing and real-time performance. …”
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Abstract Biomedical IoT, predictive modeling, disease diagnosis, and temporal data analysis have become essential components in modern healthcare systems. Accurate and efficient predictive disease modeling is crucial in biomedical IoT for early detection and intervention, yet existing models like LSTM and XGBoost face limitations in handling the complexity and temporal nature of health data streams. …”
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Rootstock impacts on ‘USDA-ARS-Pawnee’ pecan growth, physiological traits, and soil microbial communities by Xinwang Wang, Keith Kubenka, Warren Chatwin, Angelyn Hilton, Braden Tondre, Tingying Xu, Lu Zhang

“…The superior growth of southern rootstocks suggests their potential for improving orchard productivity, while variations in PSR and WUE underscore the complex interactions between rootstocks and photosynthetic efficiency. …”
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Tractor Transmission Gear Ratio Optimization by Müjdat Ersarı, Murat Gündoğdu

“…This transition is made feasible by the electric motor’s ability to deliver high torque across a broad RPM range, thereby enhancing performance while reducing the complexity of gear selection. The results of this optimization process show marked improvements in both the transmission's efficiency and its adaptability, making it highly suitable for a range of applications. …”
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Development of robust constitutive synthetic promoter using genetic resources of plant pararetroviruses by Tsheten Sherpa, Tsheten Sherpa, Nrisingha Dey

“…With the advancement of plant synthetic biology, complex genetic engineering circuits are being developed, which require more diverse genetic regulatory elements (promoters) to operate. …”
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Optimizing Autonomous Multi-UAV Path Planning for Inspection Missions: A Comparative Study of Genetic and Stochastic Hill Climbing Algorithms by Faten Aljalaud, Yousef Alohali

“…These findings establish a novel and impactful benchmark for comparing global and local optimization strategies in multi-UAV tasks, offering researchers and practitioners critical insights for selecting efficient and sustainable approaches to UAV operations in complex inspection environments.…”
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Information-Driven Model Predictive Control With Adaptive Partitioning for Energy Optimization in Automated Electric Vehicles by Shahriar Shahram, Yaser P. Fallah

“…Our strategy reduces battery energy demand by selecting energy-efficient trajectories, balancing energy savings with ride comfort by minimizing abrupt speed and acceleration changes. …”
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Cooling Load Forecasting Method for Central Air Conditioning Systems in Manufacturing Plants Based on iTransformer-BiLSTM by Xiaofeng Huang, Xuan Zhou, Junwei Yan, Xiaofei Huang

“…Cooling load forecasting is a crucial aspect of optimizing energy efficiency and efficient operation in central air conditioning systems for manufacturing plants. …”
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Inhibition of Semliki Forest virus replication with long double-stranded RNA in Aedes albopictus cells by Alejandra Centurión, Bodunrin Omokungbe, Sabrina Stiehler, Andreas Vilcinskas, Kornelia Hardes

“…Our results highlight the importance of efficient dsRNA delivery and selection of critical viral targets, such as nsP4, for successful RNAi-mediated viral suppression. …”
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Optimization of deep learning architecture based on multi-path convolutional neural network algorithm by Chuan Zhou, Yan Liu, Xinghan An, Xiyao Xu, Hao Wang

“…At present, there are some problems in multi-path architecture, such as isolated information among paths, low efficiency of feature fusion mechanism, and high computational complexity. …”
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On Minimizing Influences Under Multi-Attribute Models by Bo-Yao Wang

“…The proposed framework enables structured and interpretable evaluation of influence in complex cooperative systems with heterogeneous participation and conflicting objectives.…”
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Affinity‐Based Isolation and One‐Pot Analysis of Extracellular Vesicles from Biofluids Using Phase Separated Zwitterionic Coacervates by Francesca Torrini, Roberto Frigerio, Jonathan Garlipp, Philippe Lenzen, Karl Normak, Carolina Paganini, Marina Cretich, Alessandro Gori, Paolo Arosio

“…However, their heterogeneous nature poses challenges for efficient and selective isolation from complex biofluids. …”
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PAPR Reduction in DCO-OFDM Visible Light Communication Systems Using Optimized Odd and Even Sequences Combination by Wei-Wen Hu

“…Simulation results show that the proposed scheme can achieve comparable PAPR reduction performance with the conventional selected mapping (CSLM) scheme with random and chaotic sequences, but at a considerably low computational complexity. …”
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Building electrical consumption patterns forecasting based on a novel hybrid deep learning model by Nasser Shahsavari-Pour, Azim Heydari, Farshid Keynia, Afef Fekih, Aylar Shahsavari-Pour

“…Accurate prediction of electrical energy consumption in smart buildings is a critical challenge for optimizing energy management systems, reducing costs, and improving overall efficiency. Existing models often fail to account for the complex and nonlinear characteristics of energy consumption patterns, resulting in suboptimal prediction performance. …”
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Directions of the environmental protection processes optimization at heat power engineering enterprises by Hurets L. L., Kozii I. S., Miakaieva H. M.

“…The optimization of the environmental protection process involves the choice of the physical-chemical factors such as: thermodynamic, kinetic, mass- and heat-exchanging, hydrodynamic, influence parameters on the heterogeneous, complex systems. According to the results of the systems analysis of impact factors on the efficiency of environmental protection processes, it is suggested to optimize the cleaning equipment due to classified and structural parameters, which would allow design the systematic approaches to the selection of environmental protection equipment in future. …”
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SiAkif-Bots: Gemini AI for Academic Service Chatbots by Bunga Laelatul Muna, Sudianto Sudianto, Muhammad Lulu Latif Usman

“…To overcome this challenge, a Telegram-based chatbot, "SiAkif," was developed using the Large Language Model (LLM) model from Gemini AI. Gemini AI's selection is based on its ability to understand complex conversational contexts and generate accurate and relevant responses. …”
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Numerical and experimental analysis of muzzle brake thermo-mechanical load by Nenad Miloradović, Dejan Jevtić

“…A comparative analysis of the brake’s working cycle, with and without projectile movement, revealed that the presence of a projectile significantly affects the temperature distribution and the maximum brake and compensator forces during the movement period, while its influence on forces impulses and brake efficiency is much smaller. This type of numerical analysis enables better optimization of brake design parameters and material selection for improved resistance and erosion prevention.…”
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