Molecular behaviors in thin film lubrication—Part one: Film formation for different polarities of molecules by Shaohua Zhang, Yijun Qiao, Yuhong Liu, Liran Ma, Jianbin Luo

“…., the determination of the type of molecules that can enter the contact region efficiently during sliding, the orientation of molecules in the contact region, and the effect of solid surfaces on the liquid molecular orientation in TFL. …”
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The Thermal Index of Neutron-star Matter in the Virial Approximation by Giuseppe Rivieccio, Adriana Nadal-Matosas, Arnau Rios, Milton Ruiz

“…The virial approximation provides a clear and physically intuitive framework for understanding the thermal properties of dense matter, offering a computationally efficient solution that makes it particularly well suited for the regimes relevant to neutron-star binary remnants.…”
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Neural Image Compression and Explanation by Xiang Li, Shihao Ji

“…In this article, we propose a novel end-to-end Neural Image Compression and Explanation (NICE) framework that learns to (1) explain the predictions of convolutional neural networks (CNNs), and (2) subsequently compress the input images for efficient storage or transmission. Specifically, NICE generates a sparse mask over an input image by attaching a stochastic binary gate to each pixel of the image, whose parameters are learned through the interaction with the CNN classifier to be explained. …”
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Klasifikasi Ekspresi Wajah Menggunakan Covolutional Neural Network by Ahmad Taufiq Akbar, Shoffan Saifullah, Hari Prapcoyo

“…This study proposes a simple Convolutional Neural Network (CNN) architecture to enhance the efficiency of emotion classification on small datasets. …”
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Enhancing drug-target affinity prediction through pre-trained language model and gated multi-head attention by Ghina Khoerunnisa, Isman Kurniawan

“…Nevertheless, the DTI binary classification approach suffers from a large number of non-interacting pairs, resulting in data imbalance and has a negative impact on performance. …”
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Inoculation method and disease evaluation of tomato chlorotic virus (ToCV) in Solanum lycopersicum by Dan Zhao, Tianchen Xia, Tao Zhou, Lifu Zhao, Xiaoping Zhu, Biao Gong

“…The lack of these basic techniques have severely limited the tomato-ToCV interaction research and ToCV-resistant tomato breeding. …”
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Staged transfer learning for multi-label half-face emotion recognition by Mohamed M. Abd ElMaksoud, Sherif H. ElGohary, Ahmed H. Kandil

“…We report an average binary accuracy of 0.9244 for training, 0.9152 for validation, and 0.9138 for testing, demonstrating the efficacy of our method. …”
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Optimization of distribution networks using quantum annealing for loss reduction and voltage improvement in electrical vehicle parking management by Naser Rashnu, Babak Mozafari, Reza Sharifi

“…Traditional optimization techniques like Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) often struggle with the nonlinear, high-dimensional nature of EV-grid interaction problems. In contrast, Quantum Annealing (QA) leverages quantum tunneling and parallelism to efficiently explore complex solution spaces. …”
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Enhanced physicochemical properties of Himalayan Weeping Bamboo-biochar for rapid multicomponent textile dyes uptake under classical and ultrasound irradiation: A comparative study by Sumit Kumar, Chetna Tewari, Ligy Philip, Nanda Gopal Sahoo

“…The study provides insights into an efficient, novel synthesis method for converting waste biomass into a valuable adsorbent for dye removal. …”
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MB-MSTFNet: A Multi-Band Spatio-Temporal Attention Network for EEG Sensor-Based Emotion Recognition by Cheng Fang, Sitong Liu, Bing Gao

“…This sensor-driven framework advances affective computing by integrating spatio-temporal dynamics and multi-band interactions of EEG sensor signals, enabling efficient real-time emotion recognition.…”
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Preparation of Electrode Materials from Iron Cobalt Oxide on Carbon Fiber Cloth used for Asymmetric Supercapacitors by Abeer A. Radhi, Sami I. Jafar Al-Rubaiey, Shaymaa Al-Rubaye

“…In addition, the unique porous nanospherical texture, the good conductivity, and the high effectiveness can be credited to the asymmetric supercapacitor employing FCO-CFC electrodes that achieved acceptable electrochemical efficiency due to the synergistic interaction between the FCO and the CFC. …”
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Machine learning based prediction of geotechnical parameters affecting slope stability in open-pit iron ore mines in high precipitation zone by John Gladious, Partha Sarathi Paul, Manas Mukhopadhyay

“…Abstract Rainfall and its interaction with soil, rock, and environmental factors such as soil moisture content, temperature variations, groundwater levels, and vegetation cover are critical determinants of slope stability in geotechnical engineering. …”
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New Insight of Time-transformed Symplectic Integrator. I. Hybrid Methods for Hierarchical Triples by Long Wang

“…Accurate N -body simulations of multiple systems such as binaries and triples are essential for understanding the formation and evolution of interacting binaries and binary mergers, including gravitational wave sources, blue stragglers, and X-ray binaries. …”
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Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis by Asif Rahman, Maqsood Hayat, Nadeem Iqbal, Fawaz Khaled Alarfaj, Salem Alkhalaf, Fahad Alturise

“…CNN demonstrates superiority in medical imaging owing to its ability to learn intricate spatial patterns and generalize effectively. This interaction enhances the accuracy, speed, and consistency of brain tumor detection, ultimately leading to better patient outcomes and more efficient healthcare delivery. https://github.com/asifrahman557/BrainTumorDetection .…”
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Studies of a ring-cleaving dioxygenase illuminate the role of cholesterol metabolism in the pathogenesis of Mycobacterium tuberculosis. by Katherine C Yam, Igor D'Angelo, Rainer Kalscheuer, Haizhong Zhu, Jian-Xin Wang, Victor Snieckus, Lan H Ly, Paul J Converse, William R Jacobs, Natalie Strynadka, Lindsay D Eltis

“…The position of the bicyclo-alkanone moiety of DHSA was very similar in the two binding modes, suggesting that this interaction is a determinant in the initial substrate-binding event. …”
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Micellization and surface properties of Triton X 100 in aqueous solution of short-chain alcohols by Sujit Kumar Shah, Rojer M. Leblanc, Ajaya Bhattarai

“…This study investigates the micellization and surface properties of nonionic surfactant Triton X-100 (TX100) in binary water-alcohol mixtures containing methanol (MeOH), ethanol (EtOH), and 1-propanol (1-PrOH) at 293.15 K. …”
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EEG feature extraction methods in motor imagery-based brain-computer interfaces: a systematic review and network meta-analysis by Jiahao Cheng, Peng Chen, Yufeng Deng, Yi Luo, Fengyan Chen, Jiwang Ma, Fei Wang, Fen Xu, Sheng Guo, X. San Liang, Tao Zhang

“…Background: Brain-computer interfaces (BCIs) enable direct interaction between human cognition and external devices by interpreting brain activity via electroencephalogram (EEG) signals. …”
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A pragmatic mixing model for the evaluation of powder flow properties of multicomponent pharmaceutical blends by Daniel Yanes, Rachael Shinebaum, Georgios Papakostas, Gavin K. Reynolds, Sadie M.E. Swainson

“…The resultant models ranged in complexity from simple first order mixture models to more complex third order models with binary and ternary interaction parameters. An analysis of the experimental cost versus prediction accuracy suggested that while the more complex models delivered the most accurate predictions, a first order mass weighted model using inverse FFC was capable of providing good predictions in return for a more manageable experimental burden, with an R2 value of 0.68, root mean square error of 2.88 and a mean absolute percentage error of 0.21. …”
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Experimental determination and theoretical calculation for CO2 liquid-solid phase equilibrium in PLNG by Zihe LI, Jianlu ZHU, Qing MIAO, Feng YAN, Xin OUYANG, Chaofei NIE, Hui HAN, Yuxing LI

“…Furthermore, a theoretical calculation model of CO2 solid solubility was developed, following the principle of liquid-solid phase equilibrium. The binary interaction coefficient was optimized using the genetic algorithm and test data. …”
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Analysis of MHD hybrid nanofluid flow over cone and wedge with exponential and thermal heat source and activation energy by Alshehry Azzh Saad, Noor Saima, Abas Syed Arshad, Fiza Mehreen, Ullah Hakeem

“…In many industrial processes, magnetohydrodynamic (MHD) hybrid nanofluid flow plays a vital role in controlling mass and heat transfer in systems involving precipitation and chemical processing. The interaction between thermal radiation, chemical reactions, Joule heating, and heat sources significantly affects the efficiency of such systems, necessitating an in-depth analysis of their combined effects. …”
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