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

“…However, the performance of motor imagery (MI)-based BCIs is often limited by the efficiency and accuracy of EEG feature extraction methods. …”
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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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Damage prediction of rear plate in Whipple shields based on machine learning method by Chenyang Wu, Xiangbiao Liao, Lvtan Chen, Xiaowei Chen

“…In the realm of hypervelocity impact, strain rate (> 105 s−1) effects are negligible, and fluid dynamics is employed to describe the impact process. Efficient numerical tools for precisely predicting the damage degree can greatly accelerate the design and optimization of advanced protective structures. …”
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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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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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Optimization design of internal space layout of three-bedroom residential apartment based on IGA and DE algorithm. by Ling Zhao, Baijun Li

“…This study provides an efficient solution for intelligent building layout design and has certain practical value.…”
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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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Security, QoS and energy aware optimization of cloud-edge data centers using game theory and homomorphic encryption: Modeling and formal verification by Mbarek Marwan, Abdelkarim Ait Temghart, Said Ouhmi, Mohamed Lazaar

“…Although RSA and Paillier cryptosystems are highly beneficial for mathematical operations on basic encrypted data due to their homomorphic properties, images are processed using permutation-ordered binary (POB) and Shamir's secret sharing (SSS). Second, a non-cooperative game theory model was formulated to examine the interactions between service providers, characterizing each edge as an M/M/1 system with an infinite queue. …”
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Optimised Extension of an Ultra-Low-Power RISC-V Processor to Support Lightweight Neural Network Models by Qiankun Liu, Sam Amiri

“…With the increasing demand for efficient deep learning models in resource-constrained environments, Binary Neural Networks (BNNs) have emerged as a promising solution due to their ability to significantly reduce computational complexity while maintaining accuracy. …”
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Competitive Removal of Perchlorate Ions by Quaternary Amine Modified Reed in the Presence of Nitrate and Phosphate by Salem Baidas, Khaled Al-Deyain, Xiaoguang Meng, Baoyu Gao

“…The results of this work provide perchlorate removal efficiency information that is directly applicable to the design of water treatment systems.…”
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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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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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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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Adsorption of various compounds onto nanooxides unmodified and differently pretreated by V. M. Gun'ko, O. K. Matkovsky

“…Interactions of nonpolar nitrogen, hexane, benzene, weakly polar acetonitrile, and polar diethylamine, triethylamine, and water with individual (silica, alumina), binary (silica/alumina (SA)) and ternary (alumina/silica/titania, AST) nanooxides were studied using experimental and theoretical methods to elucidate the influence of the morphological and textural characteristics and surface composition of the materials on the adsorption phenomena. …”
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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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Toxicological impacts and environmental risk of atrazine in the presence of graphene family nanomaterials (GFNs) on Chlorella sp. by Abhrajit Debroy, Mrudula Pulimi, Amitava Mukherjee

“…Key toxicity parameters, including growth inhibition, total reactive oxygen species (ROS) production, malondialdehyde (MDA) generation, photosynthetic efficiency, and antioxidant enzyme activity, were assessed for individual contaminants and their binary mixtures. …”
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Electron‐Rich Heptacyclic S,N Heteroacene Enabling C‐Shaped A‐D‐A‐type Electron Acceptors With Photoelectric Response beyond 1000 Nm for Highly Sensitive Near‐Infrared Photodetecto... by Kuo‐Hsiu Huang, Bing‐Huang Jiang, Han‐Cheng Lu, Yung‐Jing Xue, Chia‐Fang Lu, Yung‐Yung Chang, Ching‐Li Huang, Su‐Ying Chien, Chih‐Ping Chen, Yen‐Ju Cheng

“…The C‐shaped CT‐F and CT‐Cl self‐assemble into a highly ordered 3D intermolecular packing network via multiple π−π interactions in the single crystal structures. The CT‐F‐based organic photovoltaic (OPV) achieved an impressive efficiency of 14.30% with a broad external quantum efficiency response extending from the UV‐vis to the NIR (300–1050 nm) regions, outperforming most binary OPVs employing NIR A‐D‐A‐type acceptors. …”
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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 Butil&amp;#259;, Mihai Burlacu, R&amp;#259;zvan Gabriel Boboc, and Robertas Dama&amp;scaron;evi&amp;#269;ius 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 &amp;Ccedil;ulha 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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Li+ Diffusion in LinCoNb2O6 (0 < n ≤ 6) Anode with High Capacity Density: Fast Kinetics and Mechanistic Insights by Yimo Xiang, Shaowen Tan, Jingxian Yu, Shengping Wang

“…Abstract The potential of high power/capacity density and Li+ solid diffusion mechanisms of niobium‐based binary metal oxide (CoNb2O6) anode material are investigated by combining high‐rate Nb2O5 with the redox‐active 3d transition metal Co. …”
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