Securing the economic management and service infrastructure of banks via the use of artificial intelligence (MO-ILSTM) by Xintong Wu

“…The ILSTM approach is extended from binary data classification to various classifications, addressing the inability of economic management or service infrastructure to efficiently handle complex data processing needs and ensure prompt decision-making. …”
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Semantic enhancement and change consistency network for semantic change detection in remote sensing images by Zhenghao Jiang, Biao Wang, Peng Zhang, Yanlan Wu, Zhiyuan Ye, Hui Yang

“…This module continuously supervises segmentation and final detection results using interactive self-attention. SCNet achieves state-of-the-art performance on the SECOND, Hi-UCD-mini, and SJH-SCD (our custom) datasets, demonstrating an impressive balance between efficiency and accuracy. …”
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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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A real-time framework for opinion spam detection in Arabic social networks by Cherry A. Ezzat, Abdullah M. Alkadri, Abeer Elkorany

“…The propagation of opinion spam poses a significant challenge, undermining the authenticity and trustworthiness of online interactions and disturbing the unrestricted exchange of ideas. …”
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Editorial by Christian Gütl

“…They propose an advanced transformer model, the Improved T5 (IT5), to solve these issues.In a collaboration between researchers from Romania and Lithuania, Eugen Valentin Butilă, Mihai Burlacu, Răzvan Gabriel Boboc, and Robertas Damaševičius discuss the findings of a bibliometric analysis of reviews and research articles on the use of VR applications in anthropology between 2010 and 2023.Last but not least, Davut Çulha from Turkiye addresses scalability aspects through a binary tree blockchain of decomposed transactions, which can reduce the computational overhead required to calculate account balances and make the system more efficient.Enjoy Reading!…”
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Preferable single-atom catalysts enabled by natural language processing for high energy density Na-S batteries by Ruilin Bai, Yu Yao, Qiaosong Lin, Lize Wu, Zhen Li, Huijuan Wang, Mingze Ma, Di Mu, Lingxiang Hu, Hai Yang, Weihan Li, Shaolong Zhu, Xiaojun Wu, Xianhong Rui, Yan Yu

“…Abstract Employing appropriate single-atom (SA) catalysts in room-temperature sodium-sulfur (Na-S) batteries is propitious to promote the performance, whereas a universal designing strategy for the highly-efficient single-atom catalysts is absent. In this work, we adopt natural language processing techniques to screen the potential single-atom catalysts, then a binary descriptor is constructed to optimize the catalyst candidates. …”
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Advancements in Ti₃C₂ MXene-Integrated Various Metal Hydrides for Hydrogen Energy Storage: A Review by Adem Sreedhar, Jin-Seo Noh

“…In this context, this review evaluates recent advancements in binary, ternary, and complex metal hydrides integrated with 2D Ti₃C₂ MXene for enhancing H₂ storage performance. …”
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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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Micellization and surface properties of Triton X 100 in aqueous solution of short-chain alcohols by Sujit Kumar Shah, Rojer M. Leblanc, Ajaya Bhattarai

“…Binary mixtures with alcohol volume fractions (VF) of 0.10, 0.20, 0.30, 0.40 and 0.50 were prepared. …”
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Advanced GPU Techniques for Dynamic Remeshing and Self-Collision Handling in Real-Time Cloth Tearing by Jong-Hyun Kim, Jung Lee

“…To achieve this, we propose a GPU-based complete binary tree method to efficiently construct, update, and traverse a BVH (Bounding Volume Hierarchy) tree and optimize the R-Triangle (Representative-Triangle) technique on triangular meshes using GPUs to minimize primitive collision checks. …”
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IOT-MDEDTL: IoT Malware Detection based on Ensemble Deep Transfer Learning by Qasim Kadhim, Ahmed Qassem Ali Sharhan Al-Sudani, Inas Amjed Almani, Tawfeeq Alghazali, Hasan Khalid Dabis, Atheer Taha Mohammed, Saad Ghazi Talib, Rawnaq Adnan Mahmood, Zahraa Tariq Sahi, Yaqeen Mezaal

“…Extensive experiments exhibit the efficiency of the proposed approach in a well-known dataset, achieving the accuracy, precision, and recall of 96.31%, 95.31%, and 94.80%, respectively.…”
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Preparation and Characterization of Ternary Complexes to Improve the Solubility and Dissolution Performance of a Proteolysis-Targeting Chimera Drug by Heng Zhang, Hengqian Wu, Lili Wang, Laura Machín Galarza, Chuanyu Wu, Mingzhong Li, Zhengping Wang, Erpeng Zhou, Jun Han

“…Fourier-transform infrared and molecular docking simulations indicated the formation of hydrogen bond interactions between components. <b>Results:</b> The results showed that the ternary complexes significantly improved the dissolution rate and release amount of LC001 in PBS (pH 6.8) and were unaffected by changes in gastric pH compared to the binary complexes and physical mixtures. …”
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Black Hole Accretion and Spin-up through Stellar Collisions in Dense Star Clusters by Fulya Kıroğlu, Kyle Kremer, Sylvia Biscoveanu, Elena González Prieto, Frederic A. Rasio

“…Our predictions for black hole spin distributions from these stellar collisions highlight their sensitivity to accretion efficiency, underscoring the need for detailed hydrodynamic calculations to better understand the accretion physics following these interactions.…”
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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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Interpretable Machine‐Learning and Big Data Mining to Predict the CO2 Separation in Polymer‐MOF Mixed Matrix Membranes by Hao Wan, Yue Fang, Min Hu, Shuya Guo, Zhiqiang Sui, Xiaoshan Huang, Zili Liu, Yue Zhao, Hong Liang, Yufang Wu, Hanyu Gao, Zhiwei Qiao

“…This work presents a novel approach for the rapid evaluation of high‐quality MMMs and the efficient calculation of gas permeation rates within membranes.…”
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Bilinear form and soltion solutions for (3+1)-dimensional negative-order KdV-CBS equation by Chen Dan

“…This article investigates a significant mathematical model for multiwave interactions. For the first time, the bilinear form of the (3+1)-dimensional negative-order Korteweg–de Vries (KdV)-Calogero–Bogoyavlenskii–Schiff (CBS) equation is derived using binary Bell polynomials, and 1, 2, and 3-soliton solutions are obtained through this bilinear form. …”
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Modeling Short-Term Drought for SPEI in Mainland China Using the XGBoost Model by Fanchao Zeng, Qing Gao, Lifeng Wu, Zhilong Rao, Zihan Wang, Xinjian Zhang, Fuqi Yao, Jinwei Sun

“…The CPSO-XGBoost’s superiority stems from synergistic optimization: binary particle swarm feature selection enhances input relevance while adaptive parameter tuning improves computational efficiency, collectively addressing climate variability challenges across diverse terrains. …”
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Accidental symmetries, Hilbert series, and friends by Benjamín Grinstein, Xiaochuan Lu, Carlos Miró, Pablo Quílez

“…Applying this technology, we spotlight three classes of accidental symmetries that hold to all orders for non-derivative interactions. They are broken by derivative interactions and become ordinary finite-order accidental symmetries. …”
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