Research on a new process of reconstituted landess goose steak by Saisai Zhang, Hanrui Wang, SiYuan Li, Junjie Zhang, Linwu Zhuang, Shengfu Li

“…Through single-factor and response surface tests, the optimal process parameters were determined as follows: a compound enzyme addition of 3.5 %, a tumbling time of 4 h, and a forming time of 10 h. …”
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Evaluation of Surface Integrity of Multi-Energy Field Coupling-Assisted Micro-Grinding Hastelloy Alloy by Peng Bian, Zhenjing Duan, Yishuai Jia, Ziheng Wang, Shuaishuai Wang, Ji Tan, Yuyang Zhou, Jinlong Song, Xin Liu

“…Hastelloy is widely used in the manufacturing of high-temperature components in the aerospace industry because of its high strength and corrosion-resistant physical properties, as well as its ability to maintain excellent mechanical properties at high temperatures. …”
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A Study on Path Planning for Curved Surface UV Printing Robots Based on Reinforcement Learning by Jie Liu, Xianxin Lin, Chengqiang Huang, Zelong Cai, Zhenyong Liu, Minsheng Chen, Zhicong Li

“…In robotic surface UV printing, the irregular shape of the workpiece and frequent curvature changes require the printing robot to maintain the nozzle’s perpendicular orientation to the surface during path planning, which imposes high demands on trajectory accuracy and path smoothness. …”
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Optimization of the Encapsulation of Lemuru Fish Protein Hydrolysate by Spray-Drying Using Response Surface Methodology by Ayu Hanifah, Wawan Kosasih, Diah Ratnaningrum, Dian Andriani, Herlian Eriska Putra, Yellianty Yelliantty, Sri Priatni

“…Encapsulating lemuru fish protein hydrolysate is important to maintain its stability. However, optimal conditions for the encapsulation process of lemuru fish protein hydrolysate using statistical methods remain unexplored. …”
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The Evaluating Skin Acid–Base Balance After Application of Cold-Processed and Hot-Processed Natural Soaps: A Double-Blind pH Monitoring Study by Julita Zdrada-Nowak, Sandra Aniołkowska, Małgorzata Deska

“…This study investigates the short-term effects of natural soaps, prepared using cold and hot processes, on skin surface pH. A double-blind, controlled design was applied to assess changes in pH following application of soap formulations. pH levels were measured in vivo using non-invasive instrumentation at baseline and 2, 15 and 30 min post-application in 41 adult volunteers. …”
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Microscopic Analysis of Temperature Effects on Surface Colonization and Biofilm Morphology of <i>Salmonella enterica</i> by Zachariah Vice, You Zhou, Sapna Chitlapilly Dass, Rong Wang

“…Even though pre- and post-harvest cleaning and sanitization procedures are widely implemented at meat processing plants to mitigate the hazard, <i>S. enterica</i> cells may escape the process by colonizing, on contact, surfaces in the form of a biofilm that functions as an aggregated microbial community to facilitate mutual protection, antimicrobial resistance, proliferation and dissemination. …”
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Roughness-driven compressive sensing AFM for accurate nanoscale surface characterization in functional material systems by Yusong Li, Jialin Shi, Gongxin Li, Shenghang Zhai, Xiao Li, Boyu Wu, Chanmin Su, Lianqing Liu

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Enhanced YOLOv8 Ship Detection Empower Unmanned Surface Vehicles for Advanced Maritime Surveillance by Abdelilah Haijoub, Anas Hatim, Antonio Guerrero-Gonzalez, Mounir Arioua, Khalid Chougdali

“…The evolution of maritime surveillance is significantly marked by the incorporation of Artificial Intelligence and machine learning into Unmanned Surface Vehicles (USVs). This paper presents an AI approach for detecting and tracking unmanned surface vehicles, specifically leveraging an enhanced version of YOLOv8, fine-tuned for maritime surveillance needs. …”
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Automatic Detection of Landslide Surface Cracks from UAV Images Using Improved U-Network by Hao Xu, Li Wang, Bao Shu, Qin Zhang, Xinrui Li

“…Surface cracks are key indicators of landslide deformation, crucial for early landslide identification and deformation pattern analysis. …”
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Learning Distributed Parameters of Land Surface Hydrologic Models Using a Generative Adversarial Network by Ruochen Sun, Baoxiang Pan, Qingyun Duan

“…Abstract Land surface hydrologic models adeptly capture crucial terrestrial processes with a high level of spatial detail. …”
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Melting heat transport reliability on dynamics of tri-hybrid nanofluid due to inclined shrinking surface by Muhammad Yasir, Roobaea Alroobaea, N. Ameer Ahammad, Ibrahim E. Elseesy

“…These nanofluids have improved heat transfer capability for enhancing and maintaining the requirement for renewable and energy-efficient options. …”
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Microbial community structure and functional characteristics across the mucosal surfaces of olive flounder (Paralichthys olivaceus) by Jihyun Yu, Jihyun Yu, Min Joo Kang, Mi-Jeong Park, Gyeong Hak Han, Gyeong Hak Han, Yun Jae Kim, Yun Jae Kim, Choong Hwan Noh, Kae Kyoung Kwon, Kae Kyoung Kwon

“…These findings support the idea that while the microbiota of internal organs primarily supports digestive and immunological processes, the symbionts of external organs may play crucial roles in neutralizing toxic compounds from aquaculture practices, such as reduced nitrogen and sulfur compounds, and maintaining the integrity of the mucosal barrier.…”
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Optimizing Defect Detection on Glossy and Curved Surfaces Using Deep Learning and Advanced Imaging Systems by Joung-Hwan Yoon, Chibuzo Nwabufo Okwuosa, Nnamdi Chukwunweike Aronwora, Jang-Wook Hur

“…Image fault detection and classification have also been implemented industrially for product defect detection, as well as for maintaining standards and optimizing processes using AI. …”
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A Lightweight Method for Detecting Bearing Surface Defects Based on Deep Learning and Ontological Reasoning by Xiaolin Shi, Haisong Xu, Han Zhang, Yi Li, Xinshuo Li, Fan Yang

“…Aiming at the different sizes and textures of the defect types on the surface of the outer ring of the bearing, and the fact that most of the target detection algorithms relying on deep learning show low speed and low precision in the detection of defects on the surface of the bearing, this paper presents a lightweight method for detecting the defects on the surface of the bearing based on deep learning and ontological reasoning. …”
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Features of the structure of the alveolar process in patients with gnatic form of mesial occlusion by A. B. Mallaeva, N. S. Drobysheva

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Real-time Detection Algorithm of Expanded Feed Image on the Water Surface Based on Improved YOLOv11 by ZHOU Xiushan, WEN Luting, JIE Baifei, ZHENG Haifeng, WU Qiqi, LI Kene, LIANG Junneng, LI Yijian, WEN Jiayan, JIANG Linyuan

“…[Objective]During the feeding process of fish populations in aquaculture, the video image characteristics of floating extruded feed on the water surface undergo continuous variations due to a myriad of environmental factors and fish behaviors. …”
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Wettability of reaction-bonded SiC surfaces in different concentrations of sulfuric acid: Experimental and simulation study by Hao Yang, Xiaodan Yang, Zhenming Yang, Ranbo Yu, Jinsong Zhang, Yong Gao

“…Silicon carbide (SiC) exhibited high corrosion resistance and was able to maintain a stable solid-liquid interface, which has led to its widespread use in chemical equipment to achieve process intensification and efficiency enhancement. …”
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The Effect of H2S Pressure on the Formation of Multiple Corrosion Products on 316L Stainless Steel Surface by M. Shah, M. T. M. Ayob, R. Rosdan, N. Yaakob, Z. Embong, N. K. Othman

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Centrifugation-Induced Stable Colloidal Silver Nanoparticle Aggregates for Reproducible Surface-Enhanced Raman Scattering Detection by Tianyu Zhou, Zhiyang Zhang

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FD-YOLO11: A Feature-Enhanced Deep Learning Model for Steel Surface Defect Detection by Zichen Dang, Xingshuo Wang

“…Steel surface defect detection plays a critical quality control role in industrial manufacturing. …”
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