Novel insights into electrical double layers in carbonate reservoirs under low-salinity water injection using molecular dynamics simulation by Saifali Al-Musawi, Fariborz Rashidi, Sepideh Amjad-Iranagh

“…Abstract Understanding how mineral heterogeneity and brine salinity influence the electrical double layer (EDL) structure is crucial for optimizing low-salinity water injection strategies in carbonate reservoirs. …”
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Enhanced precise therapy of ROS-sensitive dual-layer shell nanoparticles loading quercetin on DSS-induced ulcerative colitis mice by Yang Bai, Danling Jiang, Boda Wu, Jiao Peng, Ji Wang, Yuhui Chen, Xi Li

“…Quercetin was encapsulated within a shell layer by the self-assembly of gelatin, followed by the polymerization of dopamine on the gelatin surface. …”
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THERMOELECTRIC SYSTEM FOR EXTRACTION OF FOREIGN OBJECTS FROM HUMAN BODY by O. V. Evdulov, S. G. Magomedova, I. Sh. Mispahov, N. A. Nabiyev, A. M. Nasrulaev

“…A mathematical model of thermal power plants was developed, implemented on the basis of solving the problem of ice layer growth using the method of solving the non-stationary Fourier differential equation, presented in partial derivatives by reducing it to an equation with full derivatives based on the use of an extended version of the Lame-Clapeyron substitution, and power series, which describes the temperature distribution in the frozen ice layer and satisfies the boundary conditions of the problem.Result. …”
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PLUTONIC STRUCTURE OF THE DEEP-SEA BASINS IN THE SEA OF OKHOTSK REGION by V. P. Semakin, A. V. Kochergin, T. I. Pitina

“…The subcrustal lithospheric mantle of the South Okhotsk basin is characterized by the high velocities of longitudinal seismic waves (8.4 km/s) and higher density values, accordingly. A poly-astenospheric model is proposed for the South Okhotsk deep-water basin: it comprises three asthenospheric layers separated by hardened layers. …”
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An application of natural language processing for hypoglycemic event identification in patients with diabetes mellitus by J.E. Camacho-Cogollo, Cristhian Felipe Patiño Zambrano, Christian Lochmuller, Claudia C. Colmenares-Mejia, Nicolas Rozo, Mario A. Isaza-Ruget, Paul Rodriguez, Andrés García

“…A multi-layer perceptron (MLP) model produces the best classification performance among all the models tested in this study, with an obtained accuracy of 0.87. …”
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Prediction of maximum forming depth in single point incremental forming of 6061 aluminum alloy based on Adaboost regression by LIANG Zhikai, ZHANG Zhichao, HU Lan, PANG Qiu

“…However， the appropriate range of process parameters suitable for different models remains undefined， necessitating extensive parameter testing. …”
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A method of processing mechanical mixtures using vortex set of deep separation by V. I. Kuznetsov, O. A. Sharikov

“…New method of processing mechanical mixtures using a vortex set of deep separation is that the compressed air from the supercharger (pump, fan, compressor, etc.), enters the swirler main process line, which creates an air vortex flow with peripheral, axial layer, and, simultaneously, a negative pressure in the axial layer. …”
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Study on Influencing of Processing Parameters on Tensile Strength of 3D Printing Sample by Dung Hoang Tien, Van-Long Trinh, Quang-Tu Ngo

“…A series of tensile tests were performed to determine the tensile strength of the samples produced with different processing parameters. The test results show that the mechanical properties of the 3D printed parts using PETG material are greatly affected by the printing speed, layer thickness and these parameters tended to be inversely proportional to the tensile strength. …”
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Beyond Classical AI: Detecting Fake News with Hybrid Quantum Neural Networks by Volkan Altıntaş

“…The model integrates classical fully connected neural layers with a parameterized quantum circuit, enabling the processing of textual data within both classical and quantum computational domains. …”
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Low-Memory-Footprint CNN-Based Biomedical Signal Processing for Wearable Devices by Zahra Kokhazad, Dimitrios Gkountelos, Milad Kokhazadeh, Charalampos Bournas, Georgios Keramidas, Vasilios Kelefouras

“…We derive two versions of each model—lean and fat—based on their memory characteristics. …”
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GPU-Based Implementation of Pruned Artificial Neural Networks for Digital Predistortion Linearization of Wideband Power Amplifiers by Wantao Li, Raul Criado, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

“…The proposed pruning method is applied to the first hidden layer of a feed-forward real-valued time-delay neural network, commonly used for DPD purposes. …”
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Prediction and optimization of robot processing technology based on neural network and genetic algorithm by Fusen WU

“…This model can clearly reveal the role of various grinding process parameters in machining and reflect their importance in improving machining efficiency and material removal rate. …”
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The Role of Foaming Agent and Processing Route in Mechanical Performance of Fabricated Aluminum Foams by Alexandra Byakova, Iegor Kartuzov, Svyatoslav Gnyloskurenko, Takashi Nakamura

“…No discrepancy between experimental values of compressive strengths for Al-foams comprising ductile cell wall constituents and those prescribed by theoretical models for closed-cell structure was found while the presence of low ductile and/or brittle eutectic domains and contaminations including particles/layers of Al3Ti, residues of partially reacted TiH2, and Ca bearing compounds, results in reducing the compressive strength to values close to or even below those of open-cell foams of the same relative density.…”
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Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study by Sudeshna Das, Yao Ge, Yuting Guo, Swati Rajwal, JaMor Hairston, Jeanne Powell, Drew Walker, Snigdha Peddireddy, Sahithi Lakamana, Selen Bozkurt, Matthew Reyna, Reza Sameni, Yunyu Xiao, Sangmi Kim, Rasheeta Chandler, Natalie Hernandez, Danielle Mowery, Rachel Wightman, Jennifer Love, Anthony Spadaro, Jeanmarie Perrone, Abeed Sarker

“…However, due to the large volume of data, obtaining useful insights through natural language processing technologies such as large language models is challenging. …”
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NITROGEN POTENTIAL DURING ION NITRIDING PROCESS IN GLOW-DISCHARGE PLASMA by A. A. Kozlov

“…It has been established that  available models for control of nitrided layer structure with the help of nitriding index (nitrogen potential) can not be applied for nitriding process in the glow-discharge. …”
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Building structures thermal calculation by A. V. Maistrenko

“…The accuracy of modeling thermal processes is specified. Numerical simulation of heating is carried out.Results. …”
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Characterization and Stability Analysis of Rock Mass Discontinuities in Layered Slopes: A Case Study from Fushun West Open-Pit Mine by Ming Li, Zhanguo Xiu, Jianhua Han, Fanzhen Meng, Feili Wang, Hongguang Ji

“…To accurately characterize the information of rock mass discontinuities in high slopes, the layered rock slope on the north side of the Fushun West Open-pit Mine was taken as a typical sample, the high-definition images were collected using unmanned aerial vehicle (UAV) photogrammetry technology, and the Agisoft PhotoScan software was then used to generate the 3D rock slope model (i.e., 3D point cloud data) in this study. …”
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Hydrothermal Synthesis of Modified Hydrophobic Zn–Al-Layered Double Hydroxides Using Structure-Directing Agents and Their Enhanced Adsorption Capacity for -Nitrophenol by Yayue Sun, Jiabin Zhou, Ya Cheng, Jiaguo Yu, Weiquan Cai

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Hyperdimensional Intelligent Sensing for Efficient Real-Time Audio Processing on Extreme Edge by Sanggeon Yun, Ryozo Masukawa, Hanning Chen, Sungheon Jeong, Wenjun Huang, Arghavan Rezvani, Minhyoung Na, Yoshiki Yamaguchi, Mohsen Imani

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Nitric Oxide‐Releasing Nanoscale Metal‐Organic Layer Overcomes Hypoxia and Reactive Oxygen Species Diffusion Barriers to Enhance Cancer Radiotherapy by Yuxuan Xiong, Jinhong Li, Xiaomin Jiang, Wenyao Zhen, Xin Ma, Wenbin Lin

“…Abstract Hafnium (Hf)‐based nanoscale metal‐organic layers (MOLs) enhance radiotherapeutic effects of tissue‐penetrating X‐rays via a unique radiotherapy‐radiodynamic therapy (RT‐RDT) process through efficient generation of hydroxy radical (RT) and singlet oxygen (RDT). …”
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