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  1. Article ; Online: Intelligent Energy-Aware Thermal Exchange Optimization with Deep Learning Model for IoT-Enabled Smart Healthcare.

    Ragab, Mahmoud / Binyamin, Sami Saeed

    Journal of healthcare engineering

    2023  Volume 2023, Page(s) 3830857

    Abstract: In recent years, Internet of Things (IoT) and advanced sensor technologies have gained considerable interest in linking different medical devices, patients, and healthcare professionals to improve the quality of medical services in a cost-effective ... ...

    Abstract In recent years, Internet of Things (IoT) and advanced sensor technologies have gained considerable interest in linking different medical devices, patients, and healthcare professionals to improve the quality of medical services in a cost-effective manner. The evolution of the smart healthcare sector has considerably enhanced patient safety, accessibility, and operational competence while minimizing the costs incurred in healthcare services. In this background, the current study develops intelligent energy-aware thermal exchange optimization with deep learning (IEA-TEODL) model for IoT-enabled smart healthcare. The aim of the proposed IEA-TOEDL technique is to group the IoT devices into clusters and make decisions in the smart healthcare sector. The proposed IEA-TEODL technique constructs clusters using the energy-aware chaotic thermal exchange optimization-based clustering (EACTEO-C) scheme. In addition, the disease diagnosis model also intends to classify the collected healthcare data as either presence or absence of the disease. To accomplish this, the proposed IEA-TODL technique involves several subprocesses such as preprocessing, K-medoid clustering-based outlier removal, multihead attention bidirectional long short-term memory (MHA-BLSTM), and weighted salp swarm algorithm (WSSA). The utilization of outlier removal and WSSA-based hyperparameter tuning process assist in achieving enhanced classification outcomes. In order to demonstrate the enhanced outcomes of the IEA-TEODL approach, a wide range of simulations was conducted against benchmark datasets. The simulation results inferred the enhanced outcomes of the IEA-TEODL technique over recent techniques under distinct evaluation metrics.
    MeSH term(s) Humans ; Deep Learning ; Internet of Things ; Awareness ; Health Facilities ; Delivery of Health Care
    Language English
    Publishing date 2023-07-14
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2545054-2
    ISSN 2040-2309 ; 2040-2295
    ISSN (online) 2040-2309
    ISSN 2040-2295
    DOI 10.1155/2023/3830857
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  2. Article ; Online: Genetic Disruption of Toxoplasma gondii peroxiredoxin (TgPrx) 1 and 3 Reveals the Essential Role of TgPrx3 in Protecting Mice from Fatal Consequences of Toxoplasmosis

    Fereig, Ragab M / Nishikawa, Yoshifumi

    International journal of molecular sciences

    2022  Volume 23, Issue 6

    Abstract: Toxoplasma ... ...

    Abstract Toxoplasma gondii
    MeSH term(s) Animals ; Female ; Male ; Mice ; Mice, Inbred C57BL ; Mice, Inbred ICR ; Mice, SCID ; Peroxiredoxins/genetics ; Protozoan Proteins/genetics ; Toxoplasma/genetics ; Toxoplasmosis/parasitology ; Vaccines
    Chemical Substances Protozoan Proteins ; Vaccines ; Peroxiredoxins (EC 1.11.1.15)
    Language English
    Publishing date 2022-03-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms23063076
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  3. Article ; Online: Influence of the Remnants of Silicone Oil on Penetration of Three Different Sealers into the Dentinal Tubules: A Confocal Laser Scanning Microscopy Study.

    Ragab, Mai / Sharaan, Marwa

    European endodontic journal

    2022  Volume 7, Issue 3, Page(s) 234–240

    Abstract: Objective: The aim of this study was to assess penetration of AH Plus, MTA Fillapex and GuttaFlow Bioseal sealers into dentinal tubules after placement and removal of silicone oil using Confocal Laser Scanning Microscopy.: Methods: Sixty single- ... ...

    Abstract Objective: The aim of this study was to assess penetration of AH Plus, MTA Fillapex and GuttaFlow Bioseal sealers into dentinal tubules after placement and removal of silicone oil using Confocal Laser Scanning Microscopy.
    Methods: Sixty single-canaled premolars were instrumented using ProTaper Universal rotary system. Roots were divided into two main groups (n=30) where either Silicone oil was used or not. Subsequently, each main group was subdivided into 3 subgroups according to the investigated sealers. In subgroups where Silicone oil was used, it was placed in canals and then cleared. Obturation was completed utilizing lateral compaction technique using Rhodamine B labeled sealers. Penetration depth of sealer was evaluated by image J software. One way ANOVA, Duncan's test as posthoc test was performed for evaluation of statistical significances among the groups. In each sealer group, Independent -t-test was used to compare between with and without oil. P value was set at <0.05.
    Results: Using silicone oil resulted in less dentinal tubule penetration depth with all sealers. Mean dentinal tubule penetration depth was the lowest in apical thirds. AH Plus showed higher penetrability in all thirds compared to MTA Fillapex and GuttaFlow Bioseal despite oil placement and removal. MTA Fillapex displayed higher penetrability in all thirds than GuttaFlow Bioseal.
    Conclusion: Remnants of silicone oil has a negative impact on the penetration depth of the tested sealers.
    MeSH term(s) Epoxy Resins ; Microscopy, Confocal ; Pemetrexed ; Silicone Oils
    Chemical Substances Epoxy Resins ; Silicone Oils ; Pemetrexed (04Q9AIZ7NO)
    Language English
    Publishing date 2022-10-10
    Publishing country Turkey
    Document type Journal Article
    ISSN 2548-0839
    ISSN (online) 2548-0839
    DOI 10.14744/eej.2022.54366
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  4. Article ; Online: Automated COVID-19 Classification Using Heap-Based Optimization with the Deep Transfer Learning Model.

    Fakieh, Bahjat / Ragab, Mahmoud

    publication RETRACTED

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 7508836

    Abstract: The outbreak of the COVID-19 pandemic necessitates prompt identification of affected persons to restrict the spread of the COVID-19 epidemic. Radiological imaging such as computed tomography (CT) and chest X-rays (CXR) is considered an effective way to ... ...

    Abstract The outbreak of the COVID-19 pandemic necessitates prompt identification of affected persons to restrict the spread of the COVID-19 epidemic. Radiological imaging such as computed tomography (CT) and chest X-rays (CXR) is considered an effective way to diagnose COVID-19. However, it needs an expert's knowledge and consumes more time. At the same time, artificial intelligence (AI) and medical images are discovered to be helpful in effectively assessing and providing treatment for COVID-19 infected patients. In particular, deep learning (DL) models act as a vital part of a high-performance classification model for COVID-19 recognition on CXR images. This study develops a heap-based optimization with the deep transfer learning model for detection and classification (HBODTL-DC) of COVID-19. The proposed HBODTL-DC system majorly focuses on the identification of COVID-19 on CXR images. To do so, the presented HBODTL-DC model initially exploits the Gabor filtering (GF) technique to enhance the image quality. In addition, the HBO algorithm with a neural architecture search network (NasNet) large model is employed for the extraction of feature vectors. Finally, Elman Neural Network (ENN) model gets the feature vectors as input and categorizes the CXR images into distinct classes. The experimental validation of the HBODTL-DC model takes place on the benchmark CXR image dataset from the Kaggle repository, and the outcomes are checked in numerous dimensions. The experimental outcomes stated the supremacy of the HBODTL-DC model over recent approaches with a maximum accuracy of 0.9992.
    MeSH term(s) Artificial Intelligence ; COVID-19 ; Deep Learning ; Humans ; Neural Networks, Computer ; Pandemics
    Language English
    Publishing date 2022-08-22
    Publishing country United States
    Document type Journal Article ; Retracted Publication
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/7508836
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  5. Article ; Online: Editorial: Recent trends in infection biology and control of protozoan parasites.

    Fereig, Ragab M / Jirapattharasate, Charoonluk / Frey, Caroline F

    Frontiers in cellular and infection microbiology

    2023  Volume 13, Page(s) 1292591

    MeSH term(s) Animals ; Parasites ; Biology
    Language English
    Publishing date 2023-09-20
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2619676-1
    ISSN 2235-2988 ; 2235-2988
    ISSN (online) 2235-2988
    ISSN 2235-2988
    DOI 10.3389/fcimb.2023.1292591
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  6. Article ; Online: The influence of risk factors on bovine leukemia virus infection and proviral load in egyptian cattle.

    Hamada, Rania / Fereig, Ragab M / Metwally, Samy

    Veterinary research communications

    2023  Volume 48, Issue 1, Page(s) 191–202

    Abstract: Bovine leukemia virus (BLV) is the etiological agent of enzootic bovine leucosis (EBL), which affects cattle globally. In Egypt, BLV control strategies have been ignored because of the shortage of BLV research studies and the silent infection in most ... ...

    Abstract Bovine leukemia virus (BLV) is the etiological agent of enzootic bovine leucosis (EBL), which affects cattle globally. In Egypt, BLV control strategies have been ignored because of the shortage of BLV research studies and the silent infection in most animals. This study aimed to identify the risk factors associated with the prevalence of BLV among dairy and beef cattle from six different geographic and climatic provinces in Egypt. Additionally, risk factors affecting the BLV proviral load (PVL) among the positive cattle were targeted. The total BLV prevalence in cattle from six investigated Egyptian provinces was 24.2% (105/433), while the mean PVL (8651.6 copies /10
    MeSH term(s) Female ; Cattle ; Animals ; Leukemia Virus, Bovine ; Proviruses/genetics ; Viral Load/veterinary ; Enzootic Bovine Leukosis/epidemiology ; Risk Factors ; Cattle Diseases
    Language English
    Publishing date 2023-08-23
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 406735-6
    ISSN 1573-7446 ; 0165-7380
    ISSN (online) 1573-7446
    ISSN 0165-7380
    DOI 10.1007/s11259-023-10198-8
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    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: Editorial

    Ragab M. Fereig / Ehab Mossaad / Charoonluk Jirapattharasate / Thu-Thuy Nguyen

    Frontiers in Veterinary Science, Vol

    Pathobiology, epidemiology and control of protozoan diseases of veterinary importance

    2023  Volume 10

    Keywords parasites ; pathogenesis ; vaccine ; treatment ; animals ; Veterinary medicine ; SF600-1100
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
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  8. Article ; Online: Macrophage Stimulation as a Useful Approach for Immunoscreening of Potential Vaccine Candidates Against Toxoplasma gondii and Neospora caninum Infections.

    Fereig, Ragab M / Nishikawa, Yoshifumi

    Methods in molecular biology (Clifton, N.J.)

    2021  Volume 2411, Page(s) 129–144

    Abstract: Toxoplasmosis and neosporosis are protozoan diseases that adversely affect the medical and additionally veterinary sectors, respectively. Toxoplasmosis is caused by Toxoplasma gondii which infects almost all warm-blooded animals including humans. While, ... ...

    Abstract Toxoplasmosis and neosporosis are protozoan diseases that adversely affect the medical and additionally veterinary sectors, respectively. Toxoplasmosis is caused by Toxoplasma gondii which infects almost all warm-blooded animals including humans. While, neosporosis is caused by Neospora caninum, which induces infection in many animal species particularly in cattle. Currently, control measures for both infections are defective because of no effective vaccine or treatment. Macrophages constitute the first line of innate immunity, which contributes to the effective elimination of T. gondii or N. caninum. This action is mediated by IL-12, which is critical for the secretion of interferon gamma (IFN-γ). Successful vaccine candidates against both protozoan parasites should possess the ability to induce the cellular immune response and IFN-γ production. In this chapter, we will focus on an efficient immunological approach for discovery of potential vaccine candidates against above-mentioned parasites. Our previous studies revealed a strong correlation between vaccine antigens that enhanced the macrophage secretion of IL-12 and their efficacy as potential vaccine candidates in murine model. In case of T. gondii, peroxiredoxin 1 (TgPrx1) and peroxiredoxin 3 stimulated the production of IL-12 from murine peritoneal macrophages and conferred strong to moderate protection in C57BL/6 mice, respectively. At the same context, Neospora antigens of dense granule protein 6 (NcGRA6) and cyclophilin entrapped with oligo-mannose coated-liposomes stimulated macrophage IL-12 secretion and substantially protected immunized BALB/c mice. Therefore, we can deduce that macrophage stimulation evidenced in IL-12 production can be used as a useful approach for judgment of vaccine efficacy before further evaluation using in vivo experiments. Methods of vaccine preparation and macrophage stimulation will be fully described for TgPrx1 and NcGRA6 as potential vaccine candidates against toxoplasmosis and neosporosis, respectively.
    MeSH term(s) Animals ; Antibodies, Protozoan ; Cattle ; Coccidiosis/prevention & control ; Coccidiosis/veterinary ; Interleukin-12 ; Macrophages ; Mice ; Mice, Inbred C57BL ; Neospora/immunology ; Toxoplasma/immunology ; Toxoplasmosis/prevention & control ; Vaccine Efficacy ; Vaccines
    Chemical Substances Antibodies, Protozoan ; Vaccines ; Interleukin-12 (187348-17-0)
    Language English
    Publishing date 2021-11-23
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1940-6029
    ISSN (online) 1940-6029
    DOI 10.1007/978-1-0716-1888-2_8
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  9. Article ; Online: From Signaling Pathways to Distinct Immune Responses

    Ragab M. Fereig / Yoshifumi Nishikawa

    Pathogens, Vol 9, Iss 384, p

    Key Factors for Establishing or Combating Neospora caninum Infection in Different Susceptible Hosts

    2020  Volume 384

    Abstract: Neospora caninum is an intracellular protozoan parasite affecting numerous animal species. It induces significant economic losses because of abortion and neonatal abnormalities in cattle. In case of infection, the parasite secretes numerous arsenals to ...

    Abstract : Neospora caninum is an intracellular protozoan parasite affecting numerous animal species. It induces significant economic losses because of abortion and neonatal abnormalities in cattle. In case of infection, the parasite secretes numerous arsenals to establish a successful infection in the host cell. In the same context but for a different purpose, the host resorts to different strategies to eliminate the invading parasite. During this battle, numerous key factors from both parasite and host sides are produced and interact for the maintaining and vanishing of the infection, respectively. Although several reviews have highlighted the role of different compartments of the immune system against N. caninum infection, each one of them has mostly targeted specific points related to the immune component and animal host. Thus, in the current review, we will focus on effector molecules derived from the host cell or the parasite using a comprehensive survey method from previous reports. According to our knowledge, this is the first review that highlights and discusses immune response at the host cell–parasite molecular interface against N. caninum infection in different susceptible hosts.
    Keywords Neospora caninum ; neosporosis ; immunity ; signaling pathways ; infection ; Medicine ; R
    Subject code 572
    Language English
    Publishing date 2020-05-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
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  10. Article ; Online: Candidate genes associated with reproductive traits in rabbits.

    Helal, Mostafa / Sameh, Jana / Gharib, Sama / Merghany, Rana M / Bozhilova-Sakova, Milena / Ragab, Mohamed

    Tropical animal health and production

    2024  Volume 56, Issue 2, Page(s) 94

    Abstract: In the era of scientific advances and genetic progress, opportunities in the livestock sector are constantly growing. The application of molecular-based methods and approaches in farm animal breeding would accelerate and improve the expected results. The ...

    Abstract In the era of scientific advances and genetic progress, opportunities in the livestock sector are constantly growing. The application of molecular-based methods and approaches in farm animal breeding would accelerate and improve the expected results. The current work aims to comprehensively review the most important causative mutations in candidate genes that affect prolificacy traits in rabbits. Rabbits are a source of excellent-tasting meat that is high in protein and low in fat. Their early maturity and intensive growth are highly valued all over the world. However, improving reproductive traits and prolificacy in rabbits could be very tricky with traditional selection. Therefore, traditional breeding programs need new methods based on contemporary discoveries in molecular biology and genetics because of the complexity of the selection process. The study and implementation of genetic markers related to production in rabbits will help to create populations with specific productive traits that will produce the desired results in an extremely short time. Many studies worldwide showed an association between different genes and productive traits in rabbits. The study of these polymorphisms and their effects could be useful for molecular-oriented breeding, particularly marker-assisted selection programs in rabbit breeding.
    MeSH term(s) Animals ; Rabbits ; Phenotype ; Animals, Domestic ; Farms ; Livestock ; Meat
    Language English
    Publishing date 2024-03-05
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 603363-5
    ISSN 1573-7438 ; 0049-4747
    ISSN (online) 1573-7438
    ISSN 0049-4747
    DOI 10.1007/s11250-024-03938-8
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