Visualization of coronary artery calcification and its impact on percutaneous coronary intervention procedure (a literature review) by V. O. Hubka, Yu. M. Vailo, A. M. Materukhin, A. L. Makarenkov

“…CA lesion preparation before stent implantation involves using specialized angiographic balloons or atherectomy devices. Applying these methods of calcium modification contributes to the compliance of the calcified plaque causing fractures beyond or within the stent, ensures optimal final stent expansion and reduces the risks of possible long-term consequences. …”
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Chip Design of PTP Time Synchronization for Industrial IoT by Yee-Shao Chen, Yuan-Sun Chu, da-Wei Lo, Yen-Ting Chiang, Ting-Chao Hou

“…In order to improve time accuracy and reduce delays caused by network protocol stacking, this study designed the chip on the data link layer and optimized the original IEEE 1588 protocol. These optimization methods include compensating clock skew and removing run-trip delay Time is too large mechanism. …”
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Synthesis and Application of Calcium-Alginate-Chitosan as a Seawater Desalination Product by Cahyani Hety Setia, Syah Alif Alfarisyi, Wijaya Anugrah Ricky, Utomo Yudhi, Pramesti Indah Nur

“…The method used in this study is a cross-linking reaction between polymers with variations of CaCh, namely 0.5 M, 1 M, and 2 M for the formation of calcium-alginate-chitosan. …”
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Efficient biodiesel production from waste cooking oil using a bifunctional Ce/Mn/γ-Al₂O₃ catalysts by Nashwa Mohammed Alahmar, Nur Izyan Binti Wan Azelee, Susilawati Toemen

“…This study seeks to overcome these challenges by developing and optimizing a bifunctional Ce/Mn(10:90)/γ-Al₂O₃ catalyst via the incipient wetness impregnation (IWI) method. …”
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Solar Energy Harvesting and Management in Wireless Sensor Networks by Muhammad Mazhar Abbas, Mohamed A. Tawhid, Khalid Saleem, Zia Muhammad, Nazar Abbas Saqib, Hafiz Malik, Hasan Mahmood

“…Wireless networks comprise of small devices that are typically deployed in environments where paucity of energy seriously restricts essential operations. The energy source of these devices decreases very quickly during continuous operation and it is pivotal to replace or recharge frequently the power sources. …”
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Deep learning-based image classification for AI-assisted integration of pathology and radiology in medical imaging by Lanting He, Lan Luan, Dan Hu

“…IntroductionThe integration of pathology and radiology through artificial intelligence (AI) represents a groundbreaking advancement in medical imaging, providing a powerful tool for accurate diagnostics and the optimization of clinical workflows. Traditional image classification methods encounter substantial challenges due to the inherent complexity and heterogeneity of medical imaging datasets, which include multi-modal data sources, imbalanced class distributions, and the critical need for interpretability in clinical decision-making.MethodsAddressing these limitations, this study introduces an innovative deep learning-based framework tailored for AI-assisted medical imaging tasks. …”
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The Evolution of the Industrial Specialization of the Radio Electronics Industry of Saint-Petersburg by D. V. Klushantsev

“…The article uses the following methods: analysis, synthesis, grouping, comparison, observation, generalization.Results: the literature devoted to the radio electronics industry, its transformation and development is critically analyzed. …”
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Regenerative Strategies in Dentistry: Harnessing Stem Cells, Biomaterials and Bioactive Materials for Tissue Repair by Vidhya Rekha Umapathy, Prabhu Manickam Natarajan, Bhuminathan Swamikannu

“…As we move forward, the prospects for regenerative dentistry are in subsequent developments of stem cell technology, biomaterial optimization, and individualized treatment methods, which might become increasingly integrated in dental practices globally. …”
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YOLOv9-GDV: A Power Pylon Detection Model for Remote Sensing Images by Ke Zhang, Ningxuan Zhang, Chaojun Shi, Qiaochu Lu, Xian Zheng, Yujie Cao, Xiaoyun Zhang, Jiyuan Yang

“…Finally, the Variable Minimum Point Distance Intersection over Union (VMPDIoU) loss is proposed to optimize the model’s loss function. This method employs variable input parameters to directly calculate key point distances between predicted and ground-truth boxes, more accurately reflecting positional differences between detection results and reference targets, thus effectively improving the model’s mean Average Precision (mAP). …”
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Long and short term fault prediction using the VToMe-BiGRU algorithm for electric drive systems by Lihui Zheng, Xu Fan, Zongshan Kang, Xinjun Jin, Wenchao Zheng, Xiaofen Fang

“…The VToMe-BiGRU is an intelligent analysis method applied to automobile workshops, which is closer to the data source for data processing and analysis, alleviates the strong dependence on real-time network transmission, reduces the time consuming and labor-intensive process of manually extracting and analyzing the features, and improves the accuracy and reliability of the fault prediction. …”
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Enhanced Light Emission of Er(Yb/Y) Silicates at the Wavelength of 1.53  $\mu$m With Au Plasmonic Arrays by Gongli Xiao, Jianqing Li, Hongyan Yang

“…It is demonstrated that, by experiments, the plasmonic arrays of <inline-formula><tex-math notation="LaTeX">${a_0} =$</tex-math></inline-formula> 1082&#x00A0;nm and <inline-formula><tex-math notation="LaTeX">${t_{\text{Au}}} =$</tex-math></inline-formula> 50&#x00A0;nm can enhance the PL intensity two times, compared with a flat Au film, which can serve as an excellent guideline for designing and optimizing a highly efficient solid-state light source.…”
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Analysis of the Carbon Emission Trajectory and Influencing Factors of Agricultural Space Transfer: A Case Study of the Harbin-Changchun Urban Agglomeration, China by Xiwen Bao, Xin Wang, Ziao Ge, Jiayao Xi, Yinghui Zhao

“…The carbon emission total from agricultural space transfer in the Harbin-Changchun urban agglomeration over the 20-year period is calculated using the carbon emission coefficient method. Additionally, the spatiotemporal patterns and influencing factors are analyzed using the standard deviation ellipse method and the geographical detector model. …”
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Advances in Non-Thermal Processing of Meat and Monitoring Meat Protein Gels Through Vibrational Spectroscopy by Huanhuan Li, Chenhui Li, Muhammad Shoaib, Wei Zhang, Arul Murugesan

“…Meat is a vital source of high-quality proteins, amino acids, vitamins, and minerals essential for human health. …”
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The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review by Norah Hamad Alhumaidi, Doni Dermawan, Hanin Farhana Kamaruzaman, Nasser Alotaiq

“…ObjectiveThis systematic review aims to examine the use of ML for analyzing RWD in disease prediction and management, identifying the most commonly used ML methods, prevalent disease types, study designs, and the sources of real-world evidence (RWE). …”
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From plant biomass to biofuels and bio-based chemicals with microbial cell factories by Maša VODOVNIK, Matevž ZLATNAR

“…In order to replace traditional physical and chemical methods of lignocellulose pretreatment with more environmentally friendly biological approaches, native microbial enzyme systems are increasingly being explored as potential biocatalysts that could be used in these processes. …”
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Road Detection, Monitoring, and Maintenance Using Remotely Sensed Data by Nicholas Fiorentini, Massimo Losa

“…This Special Issue on “Road Detection, Monitoring, and Maintenance Using Remotely Sensed Data” presents innovative strategies leveraging remote sensing technologies, artificial intelligence (AI), and non-destructive testing (NDT) to optimize road infrastructure assessment. The ten papers published in this issue explore diverse methodologies, including novel deep learning algorithms for road inventory, novel methods for pavement crack detection, AI-enhanced ground-penetrating radar (GPR) imaging for subsurface assessment, high-resolution optical satellite imagery for unpaved road assessment, and aerial orthophotography for road mapping. …”
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IP-Enabled C/C++ Based High Level Synthesis: A Step towards Better Designer Productivity and Design Performance by Sharad Sinha, Thambipillai Srikanthan

“…We discuss our proposed methodology in the context of supporting efficient hardware synthesis of a class of mathematical functions without altering original C/C++ source code. Additionally, we also discuss and propose methods to integrate legacy IP cores in existing HLS flows. …”
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Research on the promotion of clinical practice guidelines implementation (V): evalua-tion of clinical guidelines implementation and expert consensus on Traditional Chinese Medicine... by Hong-Yan LI, Xiu-Qing SHI, Jing GUO, Rong ZHANG, Jie ZHOU, Ying-Hui JIN, Hong-Cai SHANG

“…Incorporating implementation science into the guideline formulation process, managing and guiding formulation from the source, and optimizing the presentation and dis-semination strategies of the guidelines can promote the implementation of guidelines/consensus appli-cation.…”
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How can green finance promote the synergistic development of agricultural ecological environment and productivity? by Liangcan Liu, Xiang Li, Kaichao Li

“…IntroductionBy maintaining soil health and optimizing water resources management, agricultural ecological total factor productivity (AETFP) builds a basic defense line of safe food supply and environmental balance, effectively reduce the spread of chemical pollution and improve the quality of nutrition supply, thus providing a strategic fulcrum for the management of public health sources.MethodsBased on the provincial panel data of China from 2012 to 2022, AETFP was estimated using EBM-GML model by incorporating the agricultural ecological value into the desirable output, and the influence mechanism of green finance on the AETFP was discussed by using fixed effect model and spatial econometric model.ResultsThe AETFP in all regions of China was steadily improving, especially in the eastern region. …”
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KNOWLEDGE AND ATTITUDES TOWARDS COVID- 19 AMONG THE ROMA COMMUNITY IN BULGARIA by V. Rangelova, A. Kevorkyan, K. Krasimirova, P. Stoyanova, E. Mitkov, M. Aleksandrova

“…Aim: To study the knowledge and attitudes of people from the Roma ethnic community about the coronavirus infection. Methods: In July-August 2020 in Parvomay, Sliven, and Plovdiv through individual interviews "face to face" 105 respondents with Roma background were interviewed. …”
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