Role of Sn atoms on the Crotonaldehyde (2-Butenal) adsorption over bimetallic catalysts PtSn(110), Pt3Sn(111)/Pt(111), Pt3Sn(111) and PtSn4(010): A periodic DFT study by Mario Saavedra-Torres, Felipe Toledo, Yoan Hidalgo-Rosa, David Contreras, Eduardo Schott, Ximena Zarate

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Microiontophoretic Application of Dynorphin in Dental Pain: Excitatory or Inhibitory Effects by Choi SH, Kim YM, Son JY, Ahn DK

“…While prior research has identified dynorphin expression in layers I–II of the dorsal horn across the spinal cord in various pain models, its functional role in trigeminal nociception, including tooth pain, remains underexplored. …”
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Notice of Violation of IEEE Publication Principles: Ground-Based Cloud Image Recognition System Based on Multi-CNN and Feature Screening and Fusion by Ma Jingyi, Tiejun Zhang, Jing Guodong, Yan Wenjun, Yang Bin

“…Filed test results show that our method was superior to other tested network models in terms of the recognition accuracy of 94.8% under 9 classification. …”
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Electroforming-based micro-texturing: Advancements for surface engineering in EDM by Mariana Hernández-Pérez, Pedro M. Hernández-Castellano, Juan M. Vázquez-Martínez, María D. Marrero-Alemán

“…The process starts with the design of textured 3D models using CAD software, followed by their fabrication with MSLA, using high-resolution photosensitive resins. …”
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Learning to Be a Transformer to Pinpoint Anomalies by Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano

“…Indeed, learning these mappings sets forth a challenging pretext task that small-capacity models are unlikely to accomplish on out-of-distribution data such as anomalous images. …”
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Edge intelligent collaborative privacy protection solution for smart medical by Jinshan Lai, Xiaotong Song, Ruijin Wang, Xiong Li

“…However, the existing intelligent diagnosis models have low accuracy and poor universality. At the same time, there is a risk of privacy leakage in the process of health monitoring and auxiliary diagnosis. …”
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The Analysis of Low-Level Jet and Water Vapor Transportation Characteristics on Continuous Extreme Precipitation in Shanxi from 2 to 6 October 2021 by Yingshu SUN, Yushu ZHOU, Guo DENG, Qing MIAO, Guiqiang QIU

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Optimization of Metakaolin-Based Alkali Activated Materials for Efficient Copper Removal from Wastewater by M. Ibrahim, W.M.W. Ibrahim, M.M. Al Bakri Abdullah, A. Romisuhani, P. Postawa, S. Ishak, R. Ediati

“…The Langmuir and Freundlich isotherm models were employed to investigate the adsorption mechanism and equilibrium behavior, providing insights into the adsorption process. …”
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State-of-Health Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy Features and Fusion Interpretable Deep Learning Framework by Bohan Shao, Jun Zhong, Jie Tian, Yan Li, Xiyu Chen, Weilin Dou, Qiangqiang Liao, Chunyan Lai, Taolin Lu, Jingying Xie

“…Moreover, a GRU (gated recurrent unit) architecture is introduced in the intermediate layers of the model to ensure its generalization ability, further improving overall prediction performance. …”
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Application of Interactive Multi-Biometrics Recognition on E-Commerce by Ling Tan, Lu Zhang

“…An interactive multi-biometrics recognition method was proposed，and its application on e-commerce was researched from third-party payment platform.For our interactive multi-biometrics recognition，the identification of users was accomplished with the recognition of multi-biometrics features like nose，ear，and finger-knuckle-print.Payment confirmation and signature were achieved with interactive face scan and fingerprint identification.A frame of third party payment platform was designed，based on which a simple and light-weighted pre-authentication layered model for online payment was established.This model can well guarantee security and reliability of payers，sellers，and banks，simplify the process of payment for users as well.…”
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EVOLUTIONARY CONCEPTION OF SNOW METAMORPHISM BASED ON CRYSTAL-MORPHOLOGY AND THEORY OF SYMMETRY by E. G. Kolomyts

“…These processes include two types of regulation: the self-regulation of snow layers, on the one hand, and the regulation related to external conditions – under the influence of atmospheric perturbations, on the other hand. …”
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Evaluation of Morphometric Factors on the Distribution of Debris: A Case Study on the Attica Ripples on the South of Paveh- Kermanshah Province, Iran by Mohammad Ahmadi

“…The Elam Formation here is a fine-grained, fine-grained limestone with regular layering, in which thin layers of black shale are also seen. …”
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A Novel PSO-Based Optimized Lightweight Convolution Neural Network for Movements Recognizing from Multichannel Surface Electromyogram by Xiu Kan, Dan Yang, Le Cao, Huisheng Shu, Yuanyuan Li, Wei Yao, Xiafeng Zhang

“…With the purpose of reducing the structural complexity of the deep neural network, the designed convolution neural network model is mainly composed of three convolution layers and two full connection layers. …”
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A novel hybrid machine learning approach for δ13C spatial prediction in polish hard-water lakes by Himan Shahabi, Ataollah Shirzadi, Alicja Ustrzycka, Natalia Piotrowska, Janusz Filipiak, Marzieh Hajizadeh Tahan

“…In this study, a random forest (RF), M5P, AMT, and Gaussian process (GP) are the four cutting-edge ML algorithms that are compared with the proposed hybrid model (ARAMT). …”
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Assessing the risk of soil salinization in an intensively irrigated area of Pakistan by Zunaira Maab, Wouter Julius Smolenaars, Muhammad Khalid Jamil, Hester Biemans

“…This model combines several spatial layers of drivers and risk factors to provide a high-resolution Combined Salinization Risk Indicator. …”
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Artificial intelligence assisted common maternal fetal planes prediction from ultrasound images based on information fusion of customized convolutional neural networks by Fatima Rauf, Muhammad Attique Khan, Hussain M. Albarakati, Kiran Jabeen, Shrooq Alsenan, Ameer Hamza, Sokea Teng, Yunyoung Nam

“…Following the training process, deep features were extracted from the average pooling layers of both models. …”
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Implementación de un procedimiento metodológico para la elaboración de piezas por bruñido con rodillo simple. by S. Díaz Rojas, C. O. Boada Carrazana, C. S. Padrón Soroa

“…The empiric-mathematical models are obtained to describe the effects of these variables in the increment of the hardness and the superficial quality end of the piece, as well as in the decrease of the external diameter and in the depth of the hardened layer. …”
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Research on Stability of an Open-Pit Mine Dump with Fiber Optic Monitoring by Tao Zhigang, Zhu Chun, Wang Yong, Wang Jiamin, He Manchao, Zhang Bo

“…The governing principles of deformation in the shallow dump layers in terms of different heaped loads and rainfall were then determined using fiber optic sensing to conduct an experimental study on the monitoring of the dump stability with an indoor physical model. …”
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PROBLEMS OF USING NEURAL NETWORKS TO PREDICT THE PRICE OF VIRTUAL ASSETS by Andrii Tsemko, Maxym Matskiv

“…A neural network with bidirectional LSTM layers was trained on 10 previous values to predict one subsequent value. …”
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Foams‐Induced Hierarchy for Multiscale Photonics on Flat Substrates: Lasing and Mie‐Bragg Diffraction as Case Studies. by Luisina Forzani, Pedro Tartaj, Yurena Luengo, Ramazan Dalmis, Pedro Moronta, Alvaro Blanco, Cefe López

“…Notably, the optical properties of the disordered foams can be effectively modeled using Mie calculations for individual spheres, serving as a valuable proof of concept for developing particulate portable detectors based on Mie resonances and a hierarchical configuration built upon a simple self‐assembly process carried out on flat substrates.…”
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