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A potential impact of A Disintegrin and Metalloproteinase Domain-Like Protein Decysin-1(ADAMDEC1)on clear cell renal cell carcinoma propagation

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BIOCELL 2022年第8期46卷 1893-1901页

作者： MAGDALENA RUDZIŃSKA-RADECKA Foundation of Research and Science Development Warsaw01-793Poland

Clear cell renal cell carcinoma(KIRC)is the most common and aggressivemalignancy subtype of renal neoplasm that arises from proximal convoluted *** is characterized by poor clinical outcomes and high mortality of patients due to the lack of specific biomarkers for varying stages of the disease and no effective *** are associated with the development of several malignant tumors in humans by their ability to degrade extracellular matrices,facilitating ***,differentially expressed genes in KIRC cases compared to healthy kidneys were screened out from the Gene Expression Profiling Interactive Analysis(GEPIA)*** data was applied to determine the most elevated protease in KIRC and as a result,A Disintegrin and Metalloproteinase Domain-Like Protein Decysin-1(ADAMDEC1)was *** expression pattern was exclusive for KIRC and not observed for papillary and chromophobe renal cell carcinomas,in which ADAMDEC1 was at the same level in tumors and non-cancer ***,the ADAMDEC1 significant increase was detected in the fourteen other human malignancies compared to healthy samples,which suggested its strong involvement in cancer ***,GEPIA and Pathology Atlas correlated ADAMDEC1 high expression with more advanced tumor grade and shorter survival of KIRC *** Functional Genomics Explorer presented that ADAMDEC1 could be hypermethylated in some tumor cases and one somatic mutation in the gene sequence was ***,a Search Tool for the Retrieval of Interacting Genes/Proteins;STRING base was utilized to predict the interactions of ADAMDEC1 with other molecules and construct the signaling *** summary,ADAMDEC1 showed the tremendous potential to be the predictive marker for the KIRC and its ***,this review with data analysis can be a good base for further in vitro and in vivo research that experimentally can confirm the ADAMDEC1 as prognostic biomarkers and therapeuti

关键词： A Disintegrin and Metalloproteinase Domain-Like Protein Decysin-1 ADAMDEC1 Clear cell renal cell carcinoma Patient specimens Databases

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Detecting Broken Glass Insulators for Automated UAV Power Line Inspection Based on an Improved YOLOv8 Model

Detecting Broken Glass Insulators for Automated UAV Power Li...

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International Conference on Advanced Intelligent Systems for Sustainable development, AI2SD 2023

作者： Benelmostafa, Badr-Eddine Aitelhaj, Rita Elmoufid, Mohamed Medromi, Hicham Hassan II University Casablanca Morocco Research Foundation for Development and Innovation in Science and Engineering Casablanca Morocco

ISBN: (纸本)9783031543173

Intelligent drone inspection of power lines using computer vision techniques is a very promising research topic. In particular, the detection of broken glass insulators due to their essential role in the proper functioning of electrical transmission lines. However, detection of such defects is challenging due to their small size coupled with complex aerial image backgrounds and limited dataset availability. In this regard, this paper uses advanced object detection algorithms to achieve real-time monitoring of broken glass insulators using drones by offering main contributions on two aspects. First, a large-scale aerial image dataset from Vietnam was meticulously constructed, including 1,010 labeled original images. It will serve as a valuable resource for those engaged in the automation of power line inspections. Second, a novel improved Yolov8 detection model is introduced, incorporating the Gather and Distribute mechanism for the fusion of different feature maps within the Neck component of Yolov8. Experimental results demonstrate that the model surpasses equivalent-scale models, such as Yolov8-m, Yolov7, RTDETR-l, Gold-Yolo and Yolov6-v3.0-m, exhibiting notable improvements. The model shows improvements of up to 2,1% in mean Average Precision mAP:50 while maintaining resource efficiency, with a smaller model size of at least 17.31% compared to other models, and it exhibits real-time performance capabilities. Overall, these promising contributions could advance the development of intelligent, reliable and automated anomaly detection systems suitable for drone inspections of power lines in the context of industry 4.0. Access to both the source code and the Vietnamese dataset is available through this link: https://***/phd-benel/Yolov8_gold. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Object detection

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Exploring the Generalizability of Recent Object Detection Models in Identifying Defective Glass Insulators for UAV Power Line Inspection A Case Study in Morocco

Exploring the Generalizability of Recent Object Detection Mo...

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International Conference on Advanced Intelligent Systems for Sustainable development, AI2SD 2023

作者： Aitelhaj, Rita Benelmostafa, Badr-Eddine Medromi, Hicham Hassan II University Casablanca Morocco Research Foundation for Development and Innovation in Science and Engineering Casablanca Morocco

ISBN: (纸本)9783031542879

Power line inspection through drone technology improved by computer vision has attracted considerable investment from the electric transportation sector, by dint of its potential to enhance operational efficiency, reduce costs and attenuate risk. However, creating proprietary solutions for companies can be prohibitively costly due to the extensive research and development processes involved. That’s why many organizations opt to procure foreign solutions to expedite their integration into operational protocols. Yet, a key concern is, the adaptability and effectiveness of these foreign solutions, in new operational context: Can externally procured solutions meet the purchaser operational requirements? Our research focuses on evaluating the generalization ability of recent high-performance object detection models, specifically in identifying damaged glass power line insulators in drone-acquired images. To investigate, we carefully constructed two datasets—Vietnamize and Moroccan. We then trained and validated six recent models on the Vietnamese dataset and evaluated their performance on a new environment - a Moroccan dataset. Our findings indicate that these models consistently demonstrate high levels of performance in the Vietnamese region where they were trained. In contrast, when applied to the Moroccan context, their performance metrics experienced a decline. These results highlight the fact that current models still suffer from the generalization problem when they discover a new environment. Also, these findings emphasize that entities seeking intelligent external solutions should recognize the absence of a universally applicable solution. Instead, it becomes imperative for organizations to equip themselves with the requisite mechanisms to tailor the acquired solution effectively to its specific operational milieu. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Object detection

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Feasibility of Industrial Marine Infrastructure for Zero-Energy Seawater Desalination: Harnessing Hydrostatic Pressure 1st

Feasibility of Industrial Marine Infrastructure for Zero-Ene...

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1st International Conference on Electrical Systems and Smart Technologies, ICESST 2024

作者： El Allaoui, Achraf Semmar, Atae El Ansari, Loubna Laghridat, Hammadi Gziri, Hassan Dachry, Wafaa Medromi, Hicham Laboratory of Engineering Industrial Management and Innovation Hassan 1 University Settat Morocco Research Foundation for Development and Innovation in Science and Engineering Casablanca Morocco Rabat Morocco

ISBN: (纸本)9783031867040

This paper explores the feasibility of utilizing natural oceanic forces, particularly hydrostatic pressure, for zero-energy seawater desalination. As water scarcity becomes an increasing global challenge, innovative solutions are needed to reduce energy consumption and environmental impacts. Traditional desalination methods, such as reverse osmosis, require substantial energy input due to the need for high-pressure pumps. This study proposes an alternative approach by harnessing hydrostatic pressure at significant ocean depths to drive the desalination process without mechanical pumps. The research conducts a comprehensive feasibility study that examines various oceanic factors such as water density, salinity, temperature, marine currents, and local gravity effects. The study evaluates pressure variations at different depths, exploring how natural forces can be harnessed to reduce operational costs and improve sustainability. While challenges remain, such as harsh marine environments and the complexity of deep-sea installations, the findings suggest that using natural pressure forces has significant potential to transform seawater desalination into a more sustainable, cost-effective solution. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Hydrostatic pressure

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A Bibliometric Review of research Trends, Challenges and Future Directions in Smart Medical Bracelets 1st

A Bibliometric Review of Research Trends, Challenges and Fut...

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1st International Conference on Electrical Systems and Smart Technologies, ICESST 2024

作者： El Amri, Kawtar Rabbah, Nabila Khalfaoui, Ibtissam Machkour, Nadia Medromi, Hicham Hassan II University Casablanca Morocco Research Foundation for Development and Innovation in Science and Engineering – Suptech Santé Mohammedia Morocco Hassan II University Casablanca Morocco

ISBN: (纸本)9783031867040

This paper reports on a bibliometric study of smart medical bracelets performed over the period 2019 to 2024 with the help of the Scopus database. The identification of main trends made mention of artificial intelligence, deep learning and IoT for real-time health monitoring. Wearable technologies are paramount in the management of chronic diseases and in enhancing the outcomes of people, especially during the COVID-19 pandemic. It was found that smart medical bracelets could indeed offer the potential for a non-invasive way to monitor health continuously. While this review is confined to English language publications, the conclusions drawn carry a valuable scope and light over future research requirements like involving a wide number of databases, evaluation of long-term effectiveness and the fusion with new emerging technologies. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Deep learning

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Moving from Mirages to Miracles: Intellectual Property, Human Rights and the Global Partnership for Sustainable development

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GRUR International 2023年第7期72卷 629-630页

作者： Ncube, Caroline B University of Cape Town South Africa Department of Science and Innovation National Research Foundation Chair in Intellectual Property Innovation and Development South Africa

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Challenges and Prospects for Real-Time Glucose Monitoring: Moving Towards Non-invasive Solutions 1st

Challenges and Prospects for Real-Time Glucose Monitoring: M...

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1st International Conference on Electrical Systems and Smart Technologies, ICESST 2024

作者： Fdil, Kholoud Elhir, Safae Debbarh, Ikram Medromi, Hicham Engineering Research Laboratory National Higher School of Electricity and Mechanics Hassan II University Casablanca Morocco Research Foundation for Development and Innovation in Science and Engineering Suptech Santé Mohammedia Morocco

ISBN: (纸本)9783031867040

Diabetes mellitus is a global health challenge. Effective glycemic control is needed to prevent serious complications and improve patient outcomes. Continuous glucose monitoring (CGM) devices have transformed the management of diabetes by providing continuous, real-time blood glucose measurements that enable dynamic and accurate control of blood glucose levels. Unlike traditional glucometers, CGM systems provide insight into glucose trends and patterns, significantly improving patient management. However, despite these advances, CGM systems have certain limitations, including the need for invasive calibration, discomfort associated with sensor insertion, and skin irritation caused by adhesive patches. In this article, we review the functionalities, key examples, and limitations of CGM technology and its essential role in diabetes management. Based on this, we discuss the limitations of current CGM systems and propose non-invasive approaches, in particular near-infrared spectroscopy (NIRS), as a promising alternative. This approach has the potential to revolutionize diabetes management by providing a more user-friendly and accessible solution for continuous, real-time glucose monitoring through the integration of non-invasive monitoring with telemedicine. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Noninvasive medical procedures

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Defining and evaluating a reliable collaborative scheme for mixed mobility of passengers and goods using public transportation

Advances in Transportation Studies

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Advances in Transportation Studies 2023年 61卷 397-412页

作者： El Ouadi, J. Boulahia, C. Benhadou, S. National and High School of Electricity and Mechanic HASSAN II University Casablanca8118 Morocco Research Foundation for Development and Innovation in Science and Engineering Casablanca8118 Morocco EIGSI La Rochelle-Casablanca 17041-20410 Morocco

Background: The urban plans that consider transport schemes separately weaken sustainability and rationalization of resources. Integrative schemes, from a flow point of view, could bridge this gap, but they rely on large-scale pooling. The Shared Freight-Public Transportation (SFPT) is a sample mode that has been widely discussed recently. It has been noticed that such a system has been often coupled with consolidation networks and light vehicles to deal with the last mile distribution. Contribution: This research is based on an agent-based model to assess the potential impacts of implementing the SFPT. It overcomes the other papers by evaluating the importance of consolidation and/or light vehicles to ensure the well-functioning of the SFPT in urban areas. The evaluation of the SFPT has been based on the total demand covered, the time required to find an empty space in Public Transportation (PT) vehicles, and the number of accidents generated. Results: Based on a case study of the city of Casablanca, the results obtained have shown that the combined use of consolidation and light vehicles remains efficient to improve the performance of the SFPT. From a temporal point of view, it can be concluded that the SFPT is less disruptive and more effective during the time slots 6am-8am, 6pm-10pm and 10pm-6pm. © 2023, Aracne Editrice. All rights reserved.

关键词： Urban transportation

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Modeling and Simulation of Camera Positioning Stance on the Basis of Different Error Sources

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Journal of Engineering science and Technology Review 2024年第5期17卷 181-190页

作者： Chen, Fan Shang, Ming Wang, Anjia Yadamsuren, Adiya Ma, Youqing Shenhua Shendong Coal Group Corporation Ltd. Shanxi China Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing China Wild Camel Protection Foundation Mongolia Ulaanbaatar Mongolia International Research Center of Big Data for Sustainable Development Goals Beijing China

High-definition (HD) cameras and Light Detection and Ranging (LiDAR) are used for foreign object identification and volume alarm provision on coal transport lines, and improving the accuracy of jointly calibrated HD camera and LiDAR data is essential. To determine the effect of errors on camera parameters through the classical image backward rendezvous model, this study proposed an evaluation model for the error sources in backward rendezvous. Positioning accuracy was analyzed by assuming the existence of systematic errors in camera principal distance and image principal point offset and the presence of random errors in the image point and LiDAR point cloud coordinates. The accuracy of the computational model was verified through experiments. Results demonstrate that, the positioning accuracies are −23.2 mm ± 17.4 mm, −20.6 mm ± 17.5 mm, and −2.9 mm ± 19.6 mm at a given random error of 0.02 m in the control point and at an error of 1 pixel in the image point. Increasing the control point improved the accuracy of camera positioning. The systematic errors in the camera's principal distance and in the image point coordinates affect the accuracy of positioning. This study provides a theoretical basis for the joint calibration of HD cameras and LiDAR, which is crucial for improving the accuracy of foreign object identification and volume alarm functions in coaltransport lines. © (2024), (International Hellenic University - School of science). All rights reserved.

关键词： Systematic errors

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Improved YOLOv7 Models with Attention Mechanism for Inspection of Broken Glass Insulator on Power Line UAV Images

Improved YOLOv7 Models with Attention Mechanism for Inspecti...

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International Conference on Intelligent Systems and Smart Technologies, I2ST 2023

作者： Benelmostafa, Badr-Eddine Jioudi, Bassma Elmoufid, Mohamed Medromi, Hicham Hassan II University Casablanca Morocco Research Foundation for Development and Innovation in Science and Engineering Casablanca Morocco School of Biomedical Engineering Mohammed VI University of Health Sciences Casablanca Morocco

ISBN: (纸本)9783031476716

Glass insulators play a critical role in ensuring the proper operation of high-voltage transmission lines. Intelligent inspection of power lines by drone, therefore, requires robust, fast and accurate detection models. But since the defects of broken glass insulators are extremely small and the backgrounds of aerial images are complex, coupled with a relatively small dataset, defect detection becomes a challenging task for automatic transmission line inspection. Thus, to overcome these limitations, we build a strong Vietnamese-Moroccan database of broken glass insulators with proper augmentation techniques, which we partly share publicly, and establish a comparative study based on improved versions of YOLOv7, the new state-of-the-art real-time object recognition model. In this paper, 3 versions of YOLOv7 enhancements are proposed by introducing 3 different attention blocks (NAM, GAM and SE) along with a CSP Bottleneck into the YOLOv7 header to better detect anomalies. The improved and baseline YOLOv7 models were trained, tested and compared on our dataset. The experimental results show that the mean Average Precision mAP:50 of the improved models is at best 5% higher than the baseline model and 11% lighter. Thus, validating the improved YOLOv7 models by achieving real-time performance for broken glass insulator detection in complex aerial images. The open-source dataset can be accessed via this link: https://***/phd-benel/BGI. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Computer vision

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