The Use of Milk Protein in the Production of Jelly Products by Krylova E., Savenkova T., Rudenko O., Mavrina E.

“…According to regulatory documentation, such a product is deemed as a «source of protein».…”
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A novel hybrid cooling system for a Lithium-ion battery pack based on forced air and fins integrated with phase change material by Mohanad F. Hassan, Abdul Hadi N. Khalifa, Ahmed J. Hamad

“…Therefore, effective cooling methods and strong thermal management systems ensure their safety and optimal performance. …”
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Therapeutic role of mesenchymal stem cells in neurogenesis for management of neurological disorders: a scientometric study to an in-depth review by Qian Wang, Weifeng Jiang, Yan Feng, Lin Li, Lisheng Chu, Yan Fang

“…We utilized the Web of Science (core collection) as the data source.MethodsThe search was performed in the Web of Science core collection database until April 30, 2024, with the terms “Mesenchymal stem cells” as the title and “neurogenesis” as the topic.ResultsA total of 407 papers about mesenchymal stem cells in neurogenesis published from 2004 to 2024 were retrieved. …”
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Extracting fluorescent reporter time courses of cell lineages from high-throughput microscopy at low temporal resolution. by Mike J Downey, Danuta M Jeziorska, Sascha Ott, T Katherine Tamai, Georgy Koentges, Keith W Vance, Till Bretschneider

“…Here we present an extendible framework based on the open-source image analysis software ImageJ, which aims in particular at analyzing the expression of fluorescent reporters through cell divisions. …”
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Road Pothole Recognition and Size Measurement Based on the Fusion of Camera and LiDAR by Yongxiang Cai, Mingxing Deng, Xin Xu, Wei Wang, Xiaowei Xu

“…Finally, experiments conducted using the open-source KITTI Road dataset and real vehicle data reveal that our method accurately delineates pothole contours, achieving a 27.4% improvement in accuracy over single LiDAR methods and reducing the average processing time by 88.2%. …”
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Feasibility of using nuclear microreactor process heat for bioconversion and agricultural processes by Jack Pakkebier, Christopher Skangos, Melanie M. Derby

“…These efficiencies depend on the available source temperature for each microreactor design. There were trade-offs between producing net power and using process heat, particularly for high-temperature processes. …”
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Promising approach for composting disposable diapers enhanced by Cyanobacteria by D. Kusumawati, S. Mangkoedihardjo

“…This study presents a description of disposable diapers characteristics and the success-proven methods used to handle this waste. In many developing countries where an inadequate waste management system occurs, the handling method selection must consider effectivity, the affordable cost, and the end product quality. …”
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Estimation of Daylily Leaf Area Index by Synergy Multispectral and Radar Remote-Sensing Data Based on Machine-Learning Algorithm by Minhuan Hu, Jingshu Wang, Peng Yang, Ping Li, Peng He, Rutian Bi

“…Because of low estimation accuracy of empirical models based on single-source data, we proposed a machine-learning algorithm combining optical and microwave remote-sensing data as well as the random forest regression (RFR) importance score to select features. …”
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A Framework of Recommendation System for Unmanned Aerial Vehicle Autonomous Maneuver Decision by Qinzhi Hao, Tengyu Jing, Yao Sun, Zhuolin Yang, Jiali Zhang, Jiapeng Wang, Wei Wang

“…Notably, the prioritized experience replay deep deterministic policy gradient (PER-DDPG) algorithm, employing dense rewards and continuous actions, demonstrated superior performance, achieving a 69% success rate in confrontational scenarios against a versatile expert algorithm after 1000 training iterations, marking an 80% reduction in training time compared to conventional reinforcement learning methods. This framework not only streamlines the comparison of different maneuvering algorithms but also promotes the integration of multi-source expert knowledge and sophisticated algorithms, paving the way for advanced UAV applications in complex operational environments.…”
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Therapeutic strategies for fungating and ulcerating breast cancers: A systematic review and narrative synthesis by Valentina Zagardo, Mandara Harikar, Gianluca Ferini

“…Background: To identify optimal therapeutic strategies for managing fungating, large or ulcerating breast tumors and highlight existing gaps in the literature. …”
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Experimental Study of a Broadband Vibration Energy Harvester Based on Orthogonal Magnetically Coupled Double Cantilever Beam by Yanhao Feng, Jianhua Wang, Xiangye Chen, Peng Liu

“…The findings provide a new perspective and theoretical basis for the optimal design of broadband vibration energy harvesters.…”
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Purification of Flavonoids from an Aqueous Cocoa (<i>Theobroma cocoa</i> L.) Extract Using Macroporous Adsorption Resins by Nicole Beeler, Tilo Hühn, Sascha Rohn, Renato Colombi

“…Cocoa is a rich source of health-promoting polyphenols such as flavanols. …”
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Surgically treated ankle fractures in Sweden: a 15-year population-based study of 96 015 surgeries by Gustav Nilsson, Michael Axenhus

“…Understanding trends in ankle fracture surgeries is essential for optimizing treatment strategies and improving patient outcomes. …”
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Surgical treatment of patients with abdominal sepsis taking into account the prediction of the implementation of re-operations by I. A. Kryvoruchko, M. S. Antonova, O. V. Yevtushenko, S. A. Andreieshchev

“…Calculations of the occurrence possibility for postoperative complications and mortality in patients, depending on their preoperative state severity permits to select a most rational tactics of treatment. Most optimal approach for the rate reduction of postoperative complications occurrence and mortality in patients with abdominal sepsis and septic shock is performance of reoperations in accordance to indications to control the infection source, if it is possible.…”
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Boosting Stochasticity in Ovonic Threshold Switches Through Cryogenic First Firing for Fast and Reliable Entropy Generation by Dongmin Kim, Jangseop Lee, Yoori Seo, Ohhyuk Kwon, Pendar Azaripour Masouleh, Jisung Lee, Joonhyun Kwon, Chul‐Heung Kim, Hyunsang Hwang

“…This study demonstrates the potential of optimizing OTS devices to satisfy the increasing demand for fast and energy‐efficient entropy sources in advanced cryptographic systems.…”
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Study on the Equivalent Conicity of Train Wheelset Based on Image Process by WU Zaixin, BAO Zhengwei, WU Yongwei

“…A system of automatic wheelset tread detection and equivalent conicity calculation based on binocular vision system was proposed, which used laser light source to obtain the tread image of the repaired wheel with the CCD camera. …”
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Parametric analysis of self-excited aeroelastic instability of an isolated single-axis two-dimensional flat solar tracker by Juan A. Cárdenas-Rondón, Carlos Carbajosa, Sergio Marín-Coca, Alejandro Martínez-Cava

“…The escalating global energy demand is driving a transition towards sustainable energy sources, particularly solar power, which is experiencing significant growth. …”
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Realizing the Promise of Artificial Intelligence in Hepatocellular Carcinoma through Opportunities and Recommendations for Responsible Translation by Tamer Addissouky, Majeed M. A. Ali, Ibrahim El Tantawy El Sayed, Mahmood Hasen Shuhata Alubiady

“…The review draws upon a wide range of published research studies, focusing on the integration of AI and machine learning with diverse data sources, such as medical imaging, clinical data, genomics, and other multimodal information.  …”
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Research on Gating Fusion Algorithm for Power Grid Survey Data Based on Enhanced Mamba Spatial Neighborhood Relationship by Aiyuan Zhang, Jinguo Lv, Yu Geng, Xiaolei Wang, Xianhu Li

“…However, the model’s generalization performance across different data sources and environmental conditions has yet to be evaluated. …”
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Multivariate Machine Learning Model Based on YOLOv8 for Traffic Flow Prediction in Intelligent Transportation Systems by Fukui Wu, Hanzhong Tan, Linfeng Zhang, Shuangbing Wen, Tao Hu

“…Building on this, we propose a hybrid model combining Gradient Boosting Regression (GBR) and Support Vector Regression (SVR), where the GBR component captures complex nonlinear patterns in traffic flow data, while the SVR component enhances the model&#x2019;s generalization ability by optimizing predictions. Experimental results demonstrate that the proposed GBR-SVR model outperforms comparative methods in short-term traffic flow prediction, particularly under dynamic and complex traffic conditions. …”
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