Publications by authors named "Mohamed Ibrahem"

A cost-effective IoT-based real-time data acquisition and analysis hardware system was developed to enhance the performance of the mobile harbor cranes using a combination of a cost-effective quality control monitoring sensor dashboard (proximity sensors, angle position sensor, weight sensor, vibration sensor, and wind sensor), embedded microcontroller (Arduino), and embedded computer (Raspberry Pi). Hardware was operated using a specially developed novel Quality Control and Data Acquisition Multiprocessing software (QC-DAS). The QC-DAS can automatically collect and save real-time data of the sensors in a large-capacity SD card, monitor the state of health of the hardware, and transmit the real-time data of the sensors and the working state of the crane to an IoT server.

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Article Synopsis
  • The study focuses on evaluating noninvasive methods for assessing liver fibrosis in patients with chronic hepatitis C, comparing six specific serological scores to liver biopsies.
  • The research involved a retrospective analysis of data from 19,501 patients, assessing the effectiveness of FIB-4, APRI, King's score, Fibro-Q, fibrosis index, and Fibro-α in diagnosing various stages of liver fibrosis.
  • Results showed that four scores, particularly FIB-4 and King's score, demonstrated strong diagnostic performance for identifying advanced fibrosis and cirrhosis, underscoring the importance of noninvasive assessments in resource-limited settings.
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This paper presents a novel framework for 3D face reconstruction from single 2D images and addresses critical limitations in existing methods. Our approach integrates modified adversarial neural networks with graph neural networks to achieve state-of-the-art performance. Key innovations include (1) a generator architecture based on Graph Convolutional Networks (GCNs) with a novel loss function and identity blocks, mitigating mode collapse and instability; (2) the integration of facial landmarks and a non-parametric efficient-net decoder for enhanced feature capture; and (3) a lightweight GCN-based discriminator for improved accuracy and stability.

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This paper describes a revolutionary design paradigm for monitoring aquatic life. This unique methodology addresses issues such as limited memory, insufficient bandwidth, and excessive noise levels by combining two approaches to create a comprehensive predictive filtration system, as well as multiple-transfer route analysis. This work focuses on proposing a novel filtration learning approach for underwater sensor nodes.

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  • * To tackle these challenges, a new IDS called DCGR_IoT leverages deep neural learning technologies, such as Convolutional Neural Networks (CNNs) for spatial feature extraction and Complex Gated Recurrent Networks (CGRNs) for analyzing network traffic over time.
  • * Testing on well-known datasets like UNSW-NB15, KDDCup99, and IoT-23 shows that DCGR_IoT achieves an impressive detection accuracy of 99.2%, establishing it as a
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Ovarian insufficiency is one of the common reproductive disorders affecting women with limited therapeutic aids. Mesenchymal stem cells have been investigated in such disorders before yet, the exact mechanism of MSCs in ovarian regeneration regarding their epigenetic regulation remains elusive. The current study is to investigate the role of the bone marrow-derived mesenchymal stem cells (BM-MSCs) lncRNA (Neat-1 and Hotair1) and miRNA (mir-21-5p, mir-144-5p, and mir-664-5p) in mitigating ovarian granulosa cell apoptosis as well as searching BM-MSCs in altering the expression of ovarian and hypothalamic IGF-1 - kisspeptin system in connection to HPG axis in a cyclophosphamide-induced ovarian failure rat model.

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Introduction: Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder. Atrial natriuretic peptide (ANP) is a risk factor for PCOS. Corin protein has an essential role in ANP synthesis.

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With the increased use of automated systems, the Internet of Things (IoT), and sensors for real-time water quality monitoring, there is a greater requirement for the timely detection of unexpected values. Technical faults can introduce anomalies, and a large incoming data rate might make the manual detection of erroneous data difficult. This research introduces and applies a pioneering technology, Multivariate Multiple Convolutional Networks with Long Short-Term Memory (MCN-LSTM), to real-time water quality monitoring.

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Viral infections of the central nervous system (CNS) are common worldwide and result in considerable morbidity and mortality associated with neurologic illness. Until now, there have been no epidemiologic data regarding viruses causing aseptic meningitis, encephalitis, and CNS infections in Egypt. We investigated 1735 archived cerebrospinal fluid samples collected from Egyptian patients between 2016 and 2019 and performed molecular characterization for infection for12 different viruses: herpes simplex viruses 1 and 2 (HSV-1 and HSV-2), varicella-zoster virus (VZV), Epstein-Barr virus (EBV), cytomegalovirus (CMV), human herpesviruses 6 and 7 (HHV-6 and HHV-7), human enteroviruses (HEVs), human parechovirus (HPeV), parvovirus B19 (B19V), adenovirus (AdV), and mumps virus (MuV).

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The latest version of ZigBee offers improvements in various aspects, including its low power consumption, flexibility, and cost-effective deployment. However, the challenges persist, as the upgraded protocol continues to suffer from a wide range of security weaknesses. Constrained wireless sensor network devices cannot use standard security protocols such as asymmetric cryptography mechanisms, which are resource-intensive and unsuitable for wireless sensor networks.

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Second trimester pregnancy termination has been reported to be associated with 3-5 times higher maternal morbidity and mortality risks more than first trimester termination. Medical methods had been thoroughly assessed and it is considered the anchor of the safe abortion care. Howevere, there is no global agreement regarding the ideal method for induction of the second trimester abortion in a scarred uterus.

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Background: Various liver and gastrointestinal involvements occur in patients with coronavirus disease 2019 (COVID-19) at variable prevalence. Most studies report mild liver function disturbances correlated with COVID-19 severity, though liver failure is unusual.

Aim: To study liver and gastrointestinal dysfunctions in Egyptian patients with COVID-19 and their relation to disease outcomes.

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Background: Transversus abdominis plane (TAP) blocks provide postoperative pain relief after various abdominal surgeries. Recently, erector spinae plane (ESP) block has obtained vast attention due to its simplicity and usage in truncal procedures.

Objectives: This study aims to compare the ultrasound-guided bilateral ESP block versus bilateral TAP block on postoperative analgesia after open total abdominal hysterectomy.

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Background And Purpose: Adding adjuvants to intrathecal hyperbaric bupivacaine provides long analgesic duration with less adverse effects. The aim of this study was to compare intrathecal nalbuphine versus midazolam in patients undergoing cesarean section.

Clinical Trial Id: NCT03918187.

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Avian malaria is a mosquito-borne disease caused by Plasmodium spp. protozoa. Although these parasites have been extensively studied in North America and Eurasia, knowledge on the diversity of Plasmodium, its vectors and avian hosts in Africa is scarce.

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Background: Vitamin D (VD) was suggested to have both direct and indirect effects on modifying lipid profile in patients with diabetes through its regulatory action that increases the activity of lipoprotein lipase in adiposity.

Objectives: To detect the relationship between serum 25-hydroxyvitamin D (25OHD) and lipid profiles in dyslipidemic T1D patients and study the effect of VD supplementation on lipid profiles of VD-deficient T1D patients.

Methods: Fifty patients with T1D (for >2 years) and dyslipidemia were included.

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We aimed at evaluation of the clinicoepidemiologic data of patients with gastric carcinoma in the Egyptian Delta as regards the etiologic factors, behavior, presenting symptoms, and tumor location, grade, and stage with highlighting of the treatment modalities, survival, and prognostic factors. Three hundred cases with gastric carcinoma were enrolled, diagnosed, and treated in a tertiary oncology center in the Egyptian Delta. Data were collected as regards the etiology, presenting symptoms, family history, comorbid conditions, treatment modalities, responses, recurrences, and survival outcomes.

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Aim: Recurrent aphthous ulceration is the most commonly known oral mucosal disease. Quercetin is a useful therapeutic agent for the treatment of colitis and gastric ulcer. The objective of this study was to determine the effect of topical application of quercetin in the treatment of minor aphthous ulcers.

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The aim of this study was to develop an immunological method for the identification of sheep infected with Echinococcus granulosus which would allow the monitoring of animals imported into countries free from hydatidosis and as an aid to countries where control schemes for the disease are in operation. Three enzyme-linked immunosorbent assays (ELISAs) were developed and validated, using as antigen either a purified 8 kDa hydatid cyst fluid protein (8kDaELISA), a recombinant EG95 oncosphere protein (OncELISA) or a crude protoscolex preparation (ProtELISA). Sera used for the assay validations were obtained from 249 sheep infected either naturally or experimentally with E.

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