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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Biosorption Behavior of Basic Red 46 and Violet 3 by Dead Pleurotus mutilus from Single- and Multicomponent Systems by N. Yeddou Mezenner, A. Hamadi, S. Kaddour, Z. Bensaadi, A. Bensmaili

“…The performance of nonviable P. mutilus for removal of Crystal Violet (CV) and Basic Red 46 (BR46) was investigated in single and binary systems. Batch kinetic studies were carried out as a function of pH, temperature, biomass amount, and dye concentration to determine the decolorization efficiency of biosorbent. …”
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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

“…Polar additive molecules interacted with the steel surface and exhibited an enrichment effect in the Hertz contact region when added into a nonpolar base oil. …”
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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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Scaled Fenwick Trees by Matthew Cushman

“…The new data structure introduced here consists of a pair of interacting Fenwick tree-like structures, one of which holds the unscaled values and the other of which holds the scalars. …”
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On the Spatiality of Segregation and the Governance of Change by Nancy Ettlinger

“…Efficiency becomes a means to social as well as economic ends, as respect and trust via collaborative experience (among people who might otherwise not interact) generate new social understandings. …”
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Electrostatic Attraction‐Driven Assembly of Non‐Noble Metallo‐Supramolecular Polymers With Single‐Walled Carbon Nanotubes for Boosting Photocatalytic Hydrogen Evolution by Yanyan Qin, Chen Zhang, Yidi Wang, Pengfei She, Wai‐Yeung Wong

“…Herein, we have prepared two ionic non‐noble metallo‐supramolecular polymers Se‐MTpy (M = Co or Ni), and constructed their composites with single‐walled carbon nanotubes (CNTs) via electrostatic attraction and π–π interactions for efficient and stable photocatalytic hydrogen evolution. …”
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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

“…Current hypervelocity impact research primarily focuses on the interaction between projectile and front plate and the movement of debris cloud. …”
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Unsupervised Contrastive Graph Kolmogorov–Arnold Networks Enhanced Cross-Modal Retrieval Hashing by Hongyu Lin, Shaofeng Shen, Yuchen Zhang, Renwei Xia

“…To address modality heterogeneity and accelerate large-scale retrieval, cross-modal hashing strategies generate compact binary codes that enhance computational efficiency. …”
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MIXTURES OF NON-IONIC SURFACTANTS FOR CLEANING COMPOSITIONS by E. F. Bukanova, V. M. Filippenkov, Y. Revina

“…The surface behavior and micelle formation of binary and ternary compositions of nonionic surfactants are studied in relation to their cleaning ability with respect to cotton fabric. …”
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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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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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Optimizing saffron bioactive extraction with deep eutectic solvents by Atefeh Saberi, Heidar Raissi, Ameneh Zaboli, Hassan Hashemzadeh

“…Efficacious extraction of bioactive components must meet the green chemistry requirements for environment-friendly, safety, little impurities, economic, and efficiency. Experimental studies have demonstrated that deep eutectic solvents exhibit high efficiency in extracting phenolic compounds from saffron. …”
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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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Diagnostic efficacy of data mining method based on multimodal ultrasound for papillary thyroid carcinoma by Changyu Xu, Liwei Zhang, Qiming Zhang, Tianqi Wang, Yuqing Wu, Jinlai Yao, Xiaoqiu Dong

“…Logistic regression model and Chi-squared automatic interaction (CHAID) decision tree based on multimodal ultrasound were established, and the diagnostic efficiency of the two models in PTC was compared.MethodsThe findings, features and data of routine ultrasound, shear wave elastography (SWE) and contrast-enhanced ultrasonography (CEUS) were prospectively collected in 203 patients. …”
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Separation of benzene from cyclohexane by liquid-liquid extraction for a pseudo-ternary system with (sulfolane + 2-propanol) solvent: An experimental and modeling study by Seyed Mohammad Reza Seyedein Ghannad, Mohammad Reza Gharib, Ali Heydari

“…The LLE data of the studied system are used to achieve binary interaction parameters in universal quasichemical)UNIQUAC(and non-random two-liquid)NRTL(thermodynamic models. …”
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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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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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