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  1. Article ; Online: Apraxia Patterns for the Differentiation between Alzheimer's Disease and Frontotemporal Dementia Variants.

    Papadopoulos, Georgios / Parissis, Dimitrios / Gotzamani-Psarrakou, Anna / Ioannidis, Panagiotis

    Medicina (Kaunas, Lithuania)

    2024  Volume 60, Issue 3

    Abstract: Background and ... ...

    Abstract Background and Objectives
    MeSH term(s) Adult ; Humans ; Alzheimer Disease/diagnosis ; Frontotemporal Dementia/diagnosis ; Frontotemporal Dementia/pathology ; Frontotemporal Dementia/psychology ; Apraxias/diagnosis ; Cognitive Dysfunction ; Neuropsychological Tests
    Language English
    Publishing date 2024-03-06
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2188113-3
    ISSN 1648-9144 ; 1010-660X
    ISSN (online) 1648-9144
    ISSN 1010-660X
    DOI 10.3390/medicina60030435
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6270: Show issues Location:
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  2. Article ; Online: West Nile virus-associated HLA-DRB1 alleles in the Greek population: A structural perspective.

    Sarri, Constantina A / Papadopoulos, Georgios E / Mamuris, Zissis

    Microbiology and immunology

    2023  Volume 67, Issue 3, Page(s) 154–159

    Abstract: The HLA system plays a significant role via the regulation of the immune system and contributes to the progression and protection of many diseases. In our previous study, several HLA-DRB1 alleles were found to have a susceptible or protective role toward ...

    Abstract The HLA system plays a significant role via the regulation of the immune system and contributes to the progression and protection of many diseases. In our previous study, several HLA-DRB1 alleles were found to have a susceptible or protective role toward infection and neuroinvasion of West Nile Virus (WNV) in the Greek population. As expected, the majority of polymorphic positions are located in the peptide-binding region of the molecule. In the present work, the structure of these alleles was studied in silico, to examine the effect of polymorphism on the conformation of DRB1 proteins, with the aspect of WNV association. More specifically, molecular dynamics simulations were used for structural prediction of 23 available alleles. These modeled alleles were evaluated using root-mean-square deviation (RMSD) and root-mean-square fluctuation analysis. Low RMSD values indicate that different alleles have similar structures. Furthermore, low fluctuation was observed in the peptide-binding region between alleles with the higher and the lowest RMSD values. These findings indicate that probably variable residues do not affect the behavior of DRB1 alleles in WNV disease, by causing structural differences between them.
    MeSH term(s) Humans ; West Nile virus/genetics ; West Nile virus/metabolism ; HLA-DRB1 Chains/genetics ; HLA-DRB1 Chains/metabolism ; Alleles ; Greece ; Peptides ; Genetic Predisposition to Disease
    Chemical Substances HLA-DRB1 Chains ; Peptides
    Language English
    Publishing date 2023-01-12
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 224792-6
    ISSN 1348-0421 ; 0385-5600
    ISSN (online) 1348-0421
    ISSN 0385-5600
    DOI 10.1111/1348-0421.13048
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Food Safety and Management System Audits in Food Retail Chain Stores in Greece.

    Psomatakis, Michalis / Papadimitriou, Konstantinos / Souliotis, Andreas / Drosinos, Eleftherios H / Papadopoulos, Georgios

    Foods (Basel, Switzerland)

    2024  Volume 13, Issue 3

    Abstract: The present study aimed to assess the performance of food safety management systems in food retail stores via audits to reveal potential areas of improvement and to find out possible corrective actions to suggest to the top management. Two cycles of on- ... ...

    Abstract The present study aimed to assess the performance of food safety management systems in food retail stores via audits to reveal potential areas of improvement and to find out possible corrective actions to suggest to the top management. Two cycles of on-site audits took place in 106 stores to assess the requirements and hygiene conditions. After the first cycle of audits, improvements were suggested to the top management, and a second cycle of audits took place after a reasonable time. In the checklist, we recorded the temperatures of retail refrigerators and the scores from the inspection of hygiene and HACCP documentation. In the A' audit, the percentage of stores that had higher temperatures than the critical limits was equal to 51%, and those temperatures occurred in the refrigerators for salads, followed by the refrigerators for deli meat, yogurts and desserts. In the B' audit, only the refrigerators for salads exhibited percentages that were statistically significant lower (
    Language English
    Publishing date 2024-02-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704223-6
    ISSN 2304-8158
    ISSN 2304-8158
    DOI 10.3390/foods13030457
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: An Ethereum-Based Distributed Application for Enhancing Food Supply Chain Traceability.

    Kechagias, Evripidis P / Gayialis, Sotiris P / Papadopoulos, Georgios A / Papoutsis, Georgios

    Foods (Basel, Switzerland)

    2023  Volume 12, Issue 6

    Abstract: In today's era, humanity has been overwhelmed by technological revolutions that have changed and will continue to change how business operations are performed, directly or indirectly. At the same time, the processes within the supply chain are quite ... ...

    Abstract In today's era, humanity has been overwhelmed by technological revolutions that have changed and will continue to change how business operations are performed, directly or indirectly. At the same time, the processes within the supply chain are quite complex, and as technology and processes evolve, they become more and more challenging. Traceability has become a critical issue in the food industry to ensure safety, quality, and compliance with regulations. The adoption of blockchain technology in the food supply chain has gained significant attention as a potential solution to improve traceability. This paper presents the development of a distributed application for table olives' traceability on the Ethereum network. The paper also presents a methodological framework, which can help anyone aiming to implement an Ethereum decentralized application and demonstrates the practical use of the developed application by a Greek table olives producer. The application significantly improved the producer's product traceability by providing a secure, transparent, and efficient solution for tracking and tracing the products in the supply chain. The app reduced the time, increased the accuracy and reliability of data, improved supply chain efficiency, and helped the producer comply with international regulations and standards.
    Language English
    Publishing date 2023-03-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704223-6
    ISSN 2304-8158
    ISSN 2304-8158
    DOI 10.3390/foods12061220
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Serious complications related to regional anaesthesia: Study of Greek Courts' Decisions.

    Samara, Evangelia / Tzoumas, Lampros / Tzoumas, Konstantinos / Tzimas, Petros / Papadopoulos, Georgios

    Anaesthesiology intensive therapy

    2023  Volume 55, Issue 2, Page(s) 109–113

    Abstract: Background: Regional anaesthesia and analgesia present many advantages. Related complications are few and have been fully described. Information on regional anaesthesia malpractice is lacking in Greece. The objectives of the analysis were to highlight ... ...

    Abstract Background: Regional anaesthesia and analgesia present many advantages. Related complications are few and have been fully described. Information on regional anaesthesia malpractice is lacking in Greece. The objectives of the analysis were to highlight areas of high litigation risk and report the financial impact of claims.
    Methods: Published judicial decisions of criminal, civil, administrative and disciplinary content, from 1995 to 2020, were searched in the legal information banks. The court decisions were analysed by an expert in collaboration with the lawyers of the investigation.
    Results: A total of 26 court decisions related to complications from regional anaesthesia were found involving 10 cases, which comprised: 8 convictions, 1 referral of the case for a new expert opinion and 1 acquittal. In 6 cases the medical negligence involved complications after epidural anaesthesia and in 2 after subarachnoid anaesthesia. In 1 case there was collective liability of the anaesthesiologist and the obstetrician for negligent homicide and in 7 cases liability of the anaesthesiologist for bodily injuries. The duration of the litigation was 5-16 years.
    Conclusions: Analysis of court cases made it possible to identify the causes that led to complications during regional anaesthesia. Informed consent, non-traumatic technique, careful patient selection, adherence to safety rules, and early diagnosis and treatment of complications are essential to avoid permanent injury.
    MeSH term(s) Humans ; Greece ; Anesthesia, Conduction/adverse effects ; Anesthesia, Epidural ; Malpractice ; Informed Consent
    Language English
    Publishing date 2023-08-16
    Publishing country Poland
    Document type Journal Article
    ISSN 1731-2531
    ISSN (online) 1731-2531
    DOI 10.5114/ait.2023.129302
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Acupuncture treatment of unregulated glaucoma in the eye of a patient with Adamantiades-Behҫet disease.

    Papadopoulos, Georgios / Samara, Evangelia / Kalogeropoulos, Christos

    Acupuncture in medicine : journal of the British Medical Acupuncture Society

    2022  Volume 40, Issue 5, Page(s) 498–499

    MeSH term(s) Acupuncture Therapy ; Glaucoma/therapy ; Humans
    Language English
    Publishing date 2022-07-18
    Publishing country England
    Document type Letter
    ZDB-ID 1360533-1
    ISSN 1759-9873 ; 0964-5284
    ISSN (online) 1759-9873
    ISSN 0964-5284
    DOI 10.1177/09645284221108217
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4628: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: An Ethereum-Based Distributed Application for Enhancing Food Supply Chain Traceability

    Kechagias, Evripidis P. / Gayialis, Sotiris P. / Papadopoulos, Georgios A. / Papoutsis, Georgios

    Foods. 2023 Mar. 13, v. 12, no. 6

    2023  

    Abstract: In today’s era, humanity has been overwhelmed by technological revolutions that have changed and will continue to change how business operations are performed, directly or indirectly. At the same time, the processes within the supply chain are quite ... ...

    Abstract In today’s era, humanity has been overwhelmed by technological revolutions that have changed and will continue to change how business operations are performed, directly or indirectly. At the same time, the processes within the supply chain are quite complex, and as technology and processes evolve, they become more and more challenging. Traceability has become a critical issue in the food industry to ensure safety, quality, and compliance with regulations. The adoption of blockchain technology in the food supply chain has gained significant attention as a potential solution to improve traceability. This paper presents the development of a distributed application for table olives’ traceability on the Ethereum network. The paper also presents a methodological framework, which can help anyone aiming to implement an Ethereum decentralized application and demonstrates the practical use of the developed application by a Greek table olives producer. The application significantly improved the producer’s product traceability by providing a secure, transparent, and efficient solution for tracking and tracing the products in the supply chain. The app reduced the time, increased the accuracy and reliability of data, improved supply chain efficiency, and helped the producer comply with international regulations and standards.
    Keywords blockchain ; compliance ; food industry ; food supply chain ; traceability
    Language English
    Dates of publication 2023-0313
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article ; Online
    ZDB-ID 2704223-6
    ISSN 2304-8158
    ISSN 2304-8158
    DOI 10.3390/foods12061220
    Database NAL-Catalogue (AGRICOLA)

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  8. Book ; Online: Illicit item detection in X-ray images for security applications

    Batsis, Georgios / Mademlis, Ioannis / Papadopoulos, Georgios Th.

    2023  

    Abstract: Automated detection of contraband items in X-ray images can significantly increase public safety, by enhancing the productivity and alleviating the mental load of security officers in airports, subways, customs/post offices, etc. The large volume and ... ...

    Abstract Automated detection of contraband items in X-ray images can significantly increase public safety, by enhancing the productivity and alleviating the mental load of security officers in airports, subways, customs/post offices, etc. The large volume and high throughput of passengers, mailed parcels, etc., during rush hours make it a Big Data analysis task. Modern computer vision algorithms relying on Deep Neural Networks (DNNs) have proven capable of undertaking this task even under resource-constrained and embedded execution scenarios, e.g., as is the case with fast, single-stage, anchor-based object detectors. This paper proposes a two-fold improvement of such algorithms for the X-ray analysis domain, introducing two complementary novelties. Firstly, more efficient anchors are obtained by hierarchical clustering the sizes of the ground-truth training set bounding boxes; thus, the resulting anchors follow a natural hierarchy aligned with the semantic structure of the data. Secondly, the default Non-Maximum Suppression (NMS) algorithm at the end of the object detection pipeline is modified to better handle occluded object detection and to reduce the number of false predictions, by inserting the Efficient Intersection over Union (E-IoU) metric into the Weighted Cluster NMS method. E-IoU provides more discriminative geometrical correlations between the candidate bounding boxes/Regions-of-Interest (RoIs). The proposed method is implemented on a common single-stage object detector (YOLOv5) and its experimental evaluation on a relevant public dataset indicates significant accuracy gains over both the baseline and competing approaches. This highlights the potential of Big Data analysis in enhancing public safety.
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 004
    Publishing date 2023-05-03
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Book ; Online: A Benchmark Generative Probabilistic Model for Weak Supervised Learning

    Papadopoulos, Georgios / Silavong, Fran / Moran, Sean

    2023  

    Abstract: Finding relevant and high-quality datasets to train machine learning models is a major bottleneck for practitioners. Furthermore, to address ambitious real-world use-cases there is usually the requirement that the data come labelled with high-quality ... ...

    Abstract Finding relevant and high-quality datasets to train machine learning models is a major bottleneck for practitioners. Furthermore, to address ambitious real-world use-cases there is usually the requirement that the data come labelled with high-quality annotations that can facilitate the training of a supervised model. Manually labelling data with high-quality labels is generally a time-consuming and challenging task and often this turns out to be the bottleneck in a machine learning project. Weak Supervised Learning (WSL) approaches have been developed to alleviate the annotation burden by offering an automatic way of assigning approximate labels (pseudo-labels) to unlabelled data based on heuristics, distant supervision and knowledge bases. We apply probabilistic generative latent variable models (PLVMs), trained on heuristic labelling representations of the original dataset, as an accurate, fast and cost-effective way to generate pseudo-labels. We show that the PLVMs achieve state-of-the-art performance across four datasets. For example, they achieve 22% points higher F1 score than Snorkel in the class-imbalanced Spouse dataset. PLVMs are plug-and-playable and are a drop-in replacement to existing WSL frameworks (e.g. Snorkel) or they can be used as benchmark models for more complicated algorithms, giving practitioners a compelling accuracy boost.
    Keywords Computer Science - Machine Learning ; Computer Science - Artificial Intelligence
    Subject code 006
    Publishing date 2023-03-31
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article: Remdesivir-Induced Liver Injury in a Patient With Coronavirus Disease 2019 and History of Congestive Hepatopathy.

    Dividis, Georgios P / Papadopoulos, Georgios E / Karageorgiou, Ioannis / Kotronis, Georgios

    Cureus

    2022  Volume 14, Issue 12, Page(s) e32353

    Abstract: Remdesivir is an antiviral agent used as supportive care in adults with SARS-COV2-induced pneumonia. We report a case of an 81-year-old patient who developed hepatocellular acute liver injury 48 hours after initiating remdesivir. During the investigation, ...

    Abstract Remdesivir is an antiviral agent used as supportive care in adults with SARS-COV2-induced pneumonia. We report a case of an 81-year-old patient who developed hepatocellular acute liver injury 48 hours after initiating remdesivir. During the investigation, other causes of hepatotoxicity were excluded. A decrease in transaminases and international normalized ratio (INR) was observed 24 hours after cessation of remdesivir. An abdominal CT demonstrated hepatic congestion, retrograde hepatic venous opacification shortly after intravenous contrast injection, and dilatation of hepatic veins and inferior vena cava. We suggest congestive hepatopathy secondary to remdesivir as a possible component of liver injury.
    Language English
    Publishing date 2022-12-09
    Publishing country United States
    Document type Case Reports
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.32353
    Database MEDical Literature Analysis and Retrieval System OnLINE

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