Efficient Purification of Auto-Exhaust Soot Particles Using Hexagonal Fe₂O₃ Nanosheets Decorated with Non-Noble Metals (Ni) by Haoqi Guo, Jing Xiong, Peng Zhang, Jian Liu, Zhen Zhao, Yuechang Wei

“…Purification of soot particles from automobile exhaust has closely to do with the synergistic effect between catalyst metals. Here, several binary Ni-Fe oxide catalysts were elaborately prepared via a modified solvothermal method. …”
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Design of public space guide system based on augmented reality technology by Pu Jiao, Limin Ran

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Comparative analysis of selective gas adsorption on metal-organic frameworks: Cu–(abtc) vs. Cu–(hbtc) by Prudhviraj Medikonda

“…Adsorption capacities increased with carbon chain length at low pressures, attributed to stronger dispersion interactions with longer hydrocarbons. Model parameters were used to calculate the enthalpies of adsorption, and the Ideal Adsorbed Solution Theory was employed to predict the selectivity of binary mixtures. …”
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Cloud edge end network resource allocation for thermostatically controlled load aggregation regulation by Yi LIU, Xin WU

“…Thermostatically controlled load is a flexible load that controls temperature regulation, such as air conditioning and electric water heaters.As a crucial demand side resource, flexible aggregation and regulation of load clusters can fully mobilize clean energy consumption capacity and ensure the balance between supply and demand of the power grid.Due to the common occurrence of thermostatically controlled loads in commercial office buildings and residential areas, a relatively stable control and transmission method can be adopted.Therefore, an efficient hierarchical transmission network is introduced to achieve data transmission and information interaction between loads and the power grid, and to flexibly, real-time, and accurately utilize the adjustable potential of load clusters.Firstly, an information interaction architecture of load IoT which structured “central cloud-edge cloud-regional load controller-thermostatically controlled load”was proposed.Then, for the “end edge”part, considering the requirements of different aggregation control tasks, an improved clustering algorithm was used to classify the tasks and reduce transmission overhead.For the “end-side” part, an improved clustering algorithm was used to optimize the transmission distance.For the edge-cloud collaboration part, a subchannel resource allocation algorithm was designed based on stable matching and water injection algorithms.The binary particle swarm optimization algorithm was used to solve the task upload decision problem.Finally, the effectiveness of the proposed model and algorithm is verified through simulation, and comparative experiments are also conducted.…”
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Liquid Phase CO2 Hydrogenation to Synthesize Methanol: Solvent Screening, Process Design and Techno-Economic Evaluation by Dongliang Wang, Yun Du

“…Based on Aspen Plus software, the binary interaction parameters were regressed using gas liquid equilibrium data, and the solvent's capacity to enhance the reaction system was assessed. …”
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Extracting Optimal Number of Features for Machine Learning Models in Multilayer IoT Attacks by Badeea Al Sukhni, Soumya K. Manna, Jugal M. Dave, Leishi Zhang

“…Therefore, this research aims to develop a Semi-Automated Intrusion Detection System (SAIDS) that integrates efficient feature selection, feature weighting, normalisation, visualisation, and human–machine interaction to detect and identify multilayer attacks, enhancing mitigation strategies. …”
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Adaptive multimodal transformer based on exchanging for multimodal sentiment analysis by Gulanbaier Tuerhong, Feifan Fu, Mairidan Wushouer

“…However, existing methods still face challenges in key issues such as modal distribution differences, cross-modal interaction efficiency, and contextual correlation modeling. …”
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Thermodynamic and Structural Characterization of a Mechanochemically Synthesized Pyrazinamide–Acetylsalicylic–Acid Eutectic Mixture by Luís H. S. Queiroz, Mateus R. Lage, Clenilton C. dos Santos, Mafalda C. Sarraguça, Paulo R. S. Ribeiro

“…Binary phase diagrams and Tammann’s triangle analysis determined the eutectic point. …”
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A novel feature extractor based on constrained cross network for detecting sleep state by Chenlei Tian, Fei Song

“…Most existing methods that utilize wrist-worn devices data for detection rely on heuristic algorithms or traditional machine learning, which suffer from low classification efficiency and insufficient accuracy. This study explores an improved feature extractor based on the Constrained Cross Network to enhance the accuracy of the sleep-wake binary classification problem. …”
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PEDOT:PSS polymer functionalized carbon nanotubes integrated with graphene oxide and titanium dioxide counter electrode for dye-sensitized solar cells by A M Mahmudul Hasan, Md. Abu Bin Hasan Susan

“…A small (25 wt%) incorporation of conductive polymer reduce agglomeration and increase the solution dispersity of MWCNTs that hinders due to the van der Waals and π-π stacking interaction of the individual tube. The reduced agglomeration facilitates efficient electron transport pathways as characterized by the electrochemical impedance spectroscopy (EIS) and electron imaging techniques. …”
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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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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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Innovative vacuum distillation technology for preparing refined Al from Al–Mg alloy by Jiafei Yi, Bing He, Jinghui Sun, Peilin Qing, Alin Cao, Xuming Zhang, Lin Chen, Jingyao Xu

“…The activity coefficients of Al-Mg binary alloy components were meticulously determined by applying the molecular interaction volume model (MIVM), non-random two-liquid (NRTL) model, and Wilson equation. …”
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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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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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Research on multi-user identity recognition based on Wi-Fi sensing by Zhongcheng WEI, Wei CHEN, Yanhu DONG, Bin LIAN, Wei WANG, Jijun ZHAO

“…With the advancement of wireless sensing technology, research on Wi-Fi-based identity recognition has garnered significant attention in fields such as human-computer interaction and home security.While identity recognition based on Wi-Fi signals has achieved initial success, it is currently primarily suitable for scenarios involving individual user behavior.Identity recognition for multiple users in concurrent behavior scenarios still faces a series of challenges, including issues related to mutual interference between users and poor model robustness.Therefore, a Wiblack system for recognizing multiple user identities in a concurrent distribution behavior scenario was proposed.The core idea was to train a multi-branch deep neural network (Wiblack-Net) to extract unique features for each individual user.Firstly, the common features among multiple users were extracted using the backbone network.Then, a binary classifier was assigned to each user to determine the presence of the target user within a given group, thereby achieving identity recognition for multiple users based on concurrent behavior.In addition, experiments comparing Wiblack with several independent binary classification models and a single multiclassification model were conducted to analyze operational efficiency.System performance experimental results demonstrate that when simultaneously identifying the identities of three users, Wibalck achieves an average accuracy of 92.97%, an average precision of 93.71%, an average recall of 93.24%, and an average F1 score of 92.43%.…”
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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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Emerging strategies in the sustainable removal of antibiotics using semiconductor-based photocatalysts by Yunus Ahmed, Keya Rani Dutta, Parul Akhtar, Md. Arif Hossen, Md. Jahangir Alam, Obaid A. Alharbi, Hamad AlMohamadi, Abdul Wahab Mohammad

“…Nanomaterials can effectively and precisely break down and neutralize antibiotic compounds with high efficiency and selectivity by utilizing a complex interaction between radical reactive oxygen species and non-radical equivalents under light irradiation. …”
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