Wearable Arduino-Based Electronic Interactive Tattoo: A New Type of High-Tech Humanized Emotional Expression for Electronic Skin by Chuanwen Luo, Yan Zhang, Juan Zhang, Linyuan Hui, Ruisi Qi, Yuxiang Han, Xiang Sun, Yifan Li, Yufei Wei, Yiwen Zhang, Haoying Sun, Ning Li, Bo Zhang

“…The advantages of WABEIT are as follows: first, it avoids the pain, allergy, and long production process of traditional tattoos. Second, the patterns can adapt to different needs and generate feedback for users, which can effectively express personal emotions. …”
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3D cryo-printed hierarchical porous scaffolds provide immobilization of surface-functionalized sleep-inspired small extracellular vesicles: synergistic therapeutic strategies for v... by Xu-Ran Li, Qing-Song Deng, Shu-Hang He, Po-Lin Liu, Yuan Gao, Zhan-Ying Wei, Chang-Ru Zhang, Fei Wang, Tong-He Zhu, Helen Dawes, Bi-Yu Rui, Shi-Cong Tao, Shang-Chun Guo

“…Abstract Bone defect healing is a multi-factorial process involving the inflammatory microenvironment, bone regeneration and the formation of blood vessels, and remains a great challenge in clinical practice. …”
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Fire Detection with Deep Learning: A Comprehensive Review by Rodrigo N. Vasconcelos, Washington J. S. Franca Rocha, Diego P. Costa, Soltan G. Duverger, Mariana M. M. de Santana, Elaine C. B. Cambui, Jefferson Ferreira-Ferreira, Mariana Oliveira, Leonardo da Silva Barbosa, Carlos Leandro Cordeiro

“…Wildfires are a critical driver of landscape transformation on Earth, representing a dynamic and ephemeral process that poses challenges for accurate early detection. …”
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Meso-mechanics simulation analysis of microwave-assisted mineral liberation by Qin Like, Dai Jun, Yuan Liqun

“…This paper takes rock grains with galena and calcite as the research object to establish a two-dimensional computational model through the finite difference software FLAC2D. …”
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Preliminary Assessment of Geometric Variability Effects Through a Viscous Through-Flow Model Applied to Modern Axial-Flow Compressor Blades by Arnaud Budo, Jules Bartholet, Thibault Le Men, Koen Hillewaert, Vincent E. Terrapon

“…An important question for turbomachine designers is how to deal with blade and flowpath geometric variabilities stemming from the manufacturing process or erosion during the component lifetime. …”
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Understanding intrinsic stress effects on vibrational response of silicon nanowires by Sina Zare Pakzad, Muhammad Muzammil, Mehdi Bostan Shirin, Basit Ali, Semih Berk Coban, Ege Nacarkucuk, Umut Kerimzade, Burhanettin Erdem Alaca

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Postresuscitative Changes of Brain-Derived Neurotrophic Factor (BDNF) Protein Expression: Association With Neuronal Death by M. Sh. Avrushchenko, I. V. Ostrova

“…The number of neurons with different BDNF expression levels and the total number of neurons per 1 mm of the layer length were computed. Image analysis systems (Intel personal computer, Olympus BX-41 microscope, ImageScopeM, ImageJ 1,48v and MS Excel 2007 software packages) were used in the study. …”
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Noise-Based Frequency Spectrum Correction Method Using Interior Point Approach by Guichun Yang, Shengyou Zhou, Han Chen, Huiyue Yang, Weixing Hua, Zhaojie Wu, Yan Chen

“…This study innovatively formulates the correction process as a bounded optimization problem and incorporates an L1-norm sparse penalty term into the interior point (IP) framework to enhance robustness against noise. …”
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Analysis of the Effectiveness of Variants of the Exhaust Compartment of a Steam Turbine by V. G. Solodov, V. A. Konev

“…A variant of the algorithm based on splitting the computational process for multiprocessor platforms was used in the calculation. …”
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Optimization of Cocoa Pods Maturity Classification Using Stacking and Voting with Ensemble Learning Methods in RGB and LAB Spaces by Kacoutchy Jean Ayikpa, Abou Bakary Ballo, Diarra Mamadou, Pierre Gouton

“…Furthermore, by automating this process, these technologies reduce the margins for human error and improve the management of agricultural resources. …”
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Modeling of 3 SAT discrete Hopfield neural network optimization using genetic algorithm optimized K-modes clustering by Xiaojun Xie, Saratha Sathasivam, Hong Ma

“…This method effectively utilized the synaptic weight information from the original SAT problem within the DHNN network, thereby significantly reducing redundant computations. Concrete examples illustrated the design process of network synaptic weights when constraints were added, removed, or updated, offering new approaches for managing the evolving constraints in SAT problems. …”
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Machine learning applications for early detection of esophageal cancer: a systematic review by Farhang Hosseini, Farkhondeh Asadi, Hassan Emami, Rayan Ebnali Harari

“…Recent advances in machine learning (ML) techniques, particularly in computer vision, have demonstrated promising applications in medical image processing, assisting clinicians in making more accurate and faster diagnostic decisions. …”
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FGA-Corn: an integrated system for precision pesticide application in center leaf areas using deep learning vision by Zhongqiang Song, Zhongqiang Song, Wenqiang Li, Xuehang Song, Shun Li

“…To address this challenge, research into precision agricultural equipment based on computer vision has become a hotspot.MethodsIn this study, an integrated system named the FGA-Corn system is investigated for precision pesticide application, which consists of three important parts. …”
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An in-vitro comparison of fracture resistance of three CAD/CAM Ceramic materials for fabricating Veneer by Abdul Rahman Mohammed Saleh, Mena Al-Ani, Tuqa ALRawi, Ghufran Al-Edressi

“…Aims: This research aims to measure and compare the fracture resistance and modes of failure of the following three chemically varied computer-aided design/computer-aided manufacturing (CAD/CAM) ceramic veneering materials: IPS e.max CAD, Vita Enamic, and Shofu HC. …”
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A New Approach Based on Metaheuristic Optimization Using Chaotic Functional Connectivity Matrices and Fractal Dimension Analysis for AI-Driven Detection of Orthodontic Growth and D... by Orhan Cicek, Yusuf Bahri Özçelik, Aytaç Altan

“…The proposed model, with its low computational complexity, successfully handles the nonlinear dynamics in C2, C3, and C4 vertebral images, enabling accurate detection of growth and developmental stages. …”
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Intelligent Predetermination of Generator Tripping Scheme: Knowledge Fusion-based Deep Reinforcement Learning Framework by Lingkang Zeng, Wei Yao, Ze Hu, Hang Shuai, Zhouping Li, Jinyu Wen, Shijie Cheng

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Background dictionary construction-based sparse representation hyperspectral target detection by Tao Yang, Lin Feipeng, Yang Wen, Weng Shan

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Simulation and research of battery simulator based on sliding mode control by Hu Xia, Cao Wenzhang, Dai Yuanyuan

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Extension Distance-Driven K-Means: A Novel Clustering Framework for Fan-Shaped Data Distributions by Xingsen Li, Hanqi Yue, Yaocong Qin, Haolan Zhang

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Design of an efficient and reconfigurable 1 024 bit large numbers multiplier by Su Cheng, Xia Hong

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