459 research outputs found

    Measurement of IgG Levels Can Serve as a Biomarker in Newly Diagnosed Diabetic Children

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    This study was undertaken to determine humoral immune response to the presence of anti-immunoglobulin antibodies in children with newly diagnosed type 1 diabetes mellitus, using as a target cow immunoglobulins, in an attempt to elucidate further complex immuno-pathogenetic interactions of the disease. Serum immunoglobulin G (IgG) concentrations were measured by ELISA in 30 children with type 1 diabetes mellitus and 30 healthy matched normal children. It was found that normal children had a mean IgG level of 7.41 mg/ml while diabetic individuals had a mean IgG level of 8.52 mg/ml (p<0.00004). On the contrary, the mean level of IgG in diabetic sera after purification from anti-cow immunoglobulins was determined to be 7.52 mg/ml. Therefore, there was no significant difference in IgG level in patients with type 1 diabetes mellitus after removal of anti-cow immunoglobulin antibodies compared to normal children (p<0.58). Visualization of IgG and immuno-precipitation confirm that anti-cow immunoglobulins antibodies, which were unrelated to antigen, were co-precipitated with the antigen-antibody complex. A circulating immunoglobulin reacting with other immunoglobulins is thus present in children with type 1 diabetes and may well play a part in the complex immuno-pathogenetic interactions

    Dynamic Interaction of an Uplifted Beam with the Supporting Soil

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    During seismic events, the overturning moment exerted by the hydrodynamic pressure of a liquid contained in an unanchored, thin-walled liquid storage tank tends to lift the tank base plate off its foundation. The nonlinear uplift and contact mechanism between the base plate and the underlying foundation is investigated in the present study. Nonlinearities due to base plate contact with foundation, large deflection and plastic hinge formation are examined

    The association of polymorphic sites in some genes with type 1 diabetes mellitus in a sample of Egyptian children

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    Background: The major histocompatibility complex (MHC) genes have been implicated as the major genetic component in the predisposition to type 1 diabetes mellitus (T1DM). Other loci outside the MHC had also been reported to contribute in the susceptibility of T1DM. The aim of this study was to examine the role of some variants of polymorphic sites in some genes associated with T1DM in a sample of Egyptian children. Patients and methods: 60 patients with T1DM from the diabetes clinic at Alexandria University Children’s Hospital, and 60 healthy individuals were enrolled in this study. Genomic DNA was extracted using isopropanol precipitation method. Interleukin 18 (IL-18), interleukin 10 (IL-10), vitamin D receptor (VDR), protein tyrosine phosphatase non-receptor type 22 (PTPN22) and cytotoxic T-lymphocyte antigen-4 (CTLA-4) were genotyped. Results: The findings obtained from logistic regression analysis suggest that the IL-18 single nucleotide polymorphisms SNP-137 G&gt;C (rs#187238), the VDR Fok1 SNP T&gt;A (rs#2228570) and the SNP-1123 C&gt;G (rs#2488457) in PTPN22 gene showed a significant difference between patients and controls (P = 0.026, 0.030, and 0.003, respectively). The genotype distributions of PTPN22 SNP-1858, CTLA-4 SNP 49, IL-10 SNP-819, IL-18 SNP-607, and VDR BsmI SNP G&gt;A did not show any significant difference. Conclusion: The IL-18 SNP-137 G&gt;C (rs#187238), VDR SNP-Fok1 T&gt;A (rs#2228570), and the SNP-1123 C&gt;G (rs#2488457) in PTPN22 gene may have an effect on the occurrence of T1DM in Egyptian children. Further large-scale, population-based, case-control studies are needed.Keywords: Genes; Genomic DNA; Single nucleotide polymorphism; Type 1 diabetes mellitu

    Partial Generalized Probability Weighted Moments for Exponentiated Exponential Distribution

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    <!--[if gte mso 9]><xml> <o:OfficeDocumentSettings> <o:RelyOnVML /> <o:AllowPNG /> </o:OfficeDocumentSettings> </xml><![endif]--><span style="font-size: 12.0pt; line-height: 115%; font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; mso-ascii-theme-font: major-bidi; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: major-bidi; mso-bidi-theme-font: major-bidi; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-EG;">The generalized probability weighted moments are widely used in hydrology for estimating parameters of flood distributions from complete sample. The method of partial generalized probability weighted moments was used to estimate the parameters of distributions from censored sample. This article offers new method called partial generalized probability weighted moments (PGPWMs) for the analysis of censored data. The method of PGPWMs is an extended class from partial generalized probability weighted moments. To illustrate the new method, estimation of the unknown parameters from exponentiated exponential distribution based on doubly censored sample is considered. PGPWMs estimators for right and left censored samples are obtained as special cases. </span><strong><em><span style="font-size: 12.0pt; line-height: 115%; font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; mso-ascii-theme-font: major-bidi; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: major-bidi; mso-bidi-theme-font: major-bidi; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;"><span style="mso-spacerun: yes;">&nbsp;</span></span></em></strong><span style="font-size: 12.0pt; line-height: 115%; font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; mso-ascii-theme-font: major-bidi; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: major-bidi; mso-bidi-theme-font: major-bidi; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-EG;"><span style="mso-spacerun: yes;">&nbsp;</span>Simulation study is conducted to investigate performance of estimates for exponentiated exponential distribution. Comparison between estimators is made through simulation via their biases and<span style="mso-spacerun: yes;">&nbsp; </span>mean square errors. 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    Environmental risk assessment and chemical contamination with heavy metals in the sediments of three drains, south of Manzala lake (Egypt)

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    ABSTRACT. Six heavy metals (Fe, Cd, Co, Cr, Ni, and Pb) were measured in all 15 sediment samples collected from three drains south of Manzala Lake (Egypt). The possible environmental risks of heavy metals in the sediment of the three drains were investigated using soil indices and risk assessment. Results showed that heavy metal contamination was found at the studied sites along the three drains, and pollution levels varied depending on metals and sites. The mean concentration (mgkg-1) ranked in the order of Fe (3950) ˃ Cd (22.36) ˃ Cr (21.15) ˃ Co (19.01) ˃ Pb (14.16) ˃ Ni (10.40) for Faraskour drain, Fe (5068) ˃ Cd (30.29) ˃ Co (18.97) ˃ Cr (16.90) ˃ Ni (15.03) ˃ Pb (12.16) for Al-Etaiwy drain and Fe (56.12) ˃ Cd (19.60) ˃ Co (17.15) ˃ Ni (14.88) ˃ Cr (10.10) ˃ Pb (10.03) for Ramsis drain. The mean ranges of enrichment factor for Cd, Co, Pb, Ni and Cr were 167.5-3858, 6.11-51.78, 4.38-31.20, 1.07-11.84 and 0.61-7.43, respectively. The average degree of contamination revealed that the majority of the sites had reached very high levels of pollution, with the exception of site 1, which had reached a moderate level of contamination. The ecological risk of heavy metals can be ranked as follows: Cd &gt; Co &gt; Pb &gt; Ni &gt; Cr, and the potential ecological risk index (PERI) were 931.0, 1173 and 818.5 in the Faraskour, Al-Etaiwy and Ramsis drains, respectively. To decrease pollution in these drains, it was determined that more effective restrictions on Cd and Co were needed. In general, the mean levels of Cr, Ni, and Pb in sediments from the three drains are within the European Union (EU) and Canadian Soil Quality Guidelines (CSQGD), Cd higher than EU and CSQGD, and Co higher than EU but lower than CSQGD. &nbsp; KEY WORDS: Heavy metals, Pollution indices, Environmental risk assessment, Drains, Nile Delta &nbsp; Bull. Chem. Soc. Ethiop. 2022, 36(2), 315-327.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; DOI: https://dx.doi.org/10.4314/bcse.v36i2.6&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp

    Certification approach for physics informed machine learning and its application in landing gear life assessment

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    The efficacy of fatigue life approximation methodologies for Landing Gear systems is studied and compared to the ongoing Structural Health Monitoring techniques being researched, which will forecast failures based on the system’s specific life and withstanding abilities, ranging from creating a digital simulation model to applying neural network technologies, in order to simulate and approximate locations and levels of failure along the structure. Explainable Artificial Intelligence allows for the ease-of-integration of Deep Neural Network data into Predictive Maintenance, which is a procedure focused on the health of a system and its efficient upkeep via the use of sensor-based data. Test data from a flight includes a multitude of conditions and varying parameters such as the surface of the landing strip as well as the aircraft itself, requiring the use of Deep Neural Network models for damage assessment and failure anticipation, where compliance to standards is a major question raised, as the EASA AI roadmap is followed, as well as the ICAO and FAA. This paper additionally discusses the challenges faced with respect to standardizing the Explainable AI methodologies and their parameters specifically for the case of Landing Gear

    Certification of machine learning algorithms for safe life assessment of landing gear

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    This paper provides information on current certification of landing gear available for use in the aerospace industry. Moving forward, machine learning is part of structural health monitoring, which is being used by the aircraft industry. The non-deterministic nature of deep learning algorithms is regarded as a hurdle for certification and verification for use in the highly-regulated aerospace industry. This paper brings forth its regulation requirements and the emergence of standardisation efforts. To be able to validate machine learning for safety critical applications such as landing gear, the safe-life fatigue assessment needs to be certified such that the remaining useful life may be accurately predicted and trusted. A coverage of future certification for the usage of machine learning in safety-critical aerospace systems is provided, taking into consideration both the risk management and explainability for different end user categories involved in the certification process. Additionally, provisional use case scenarios are demonstrated, in which risk assessments and uncertainties are incorporated for the implementation of a proposed certification approach targeting offline machine learning models and their explainable usage for predicting the remaining useful life of landing gear systems based on the safe-life method

    Urinary minerals excretion among primary schoolchildren in Dubai—United Arab Emirates

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    INTRODUCTION: Urinary excretion of calcium (Ca), magnesium (Mg), phosphorus (P), iodine and fluoride is used to assess their statuses and/or the existence of metabolic abnormalities. In the United Arab Emirates (UAE), the urinary concentration of these minerals among children have not been documented. MATERIALS AND METHODS: A cross-sectional study, including 593 subjects (232 boys and 361 girls), was conducted among healthy 6 to 11-year-old Emirati children living in Dubai. Non-fasting morning urine samples and anthropometrical measurements were collected and analyzed. Results were expressed as per mg of creatinine (Cr). RESULTS: On average, estimated Cr excretion was 17.88±3.12 mg/kg/d. Mean urinary Ca/Cr, Mg/Cr and P/Cr excretions were 0.08±0.07 mg/mg, 0.09±0.04 mg/mg, and 0.57±0.26 mg/mg respectively. Urinary excretion of Ca, Mg and P were found to decrease as age increased. Urinary excretion and predicted intake of fluoride were lower than 0.05 mg/kg body weight per day. Surprisingly, more than 50% of the children were found to have urinary iodine excretion level above adequate. CONCLUSION: The Emirati schoolchildren had comparable levels of urinary Ca, Mg and P excretion to other countries. The 95% percentile allows the use of the current data as a reference value for the detection of mineral abnormalities. Fluoride excretion implies that Emirati children are at low risk of fluorosis. The level of urinary iodine excretion is slightly higher than recommended and requires close monitoring of the process of salt iodization to avoid the harmful impact of iodine overconsumption

    The potential of a solid-state fermentation supplement to augment white lupin (Lupinus albus) meal incorporation in diets for farmed common carp (Cyprinus carpio)

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    A 10-week feeding trial was conducted to evaluate the effects of partially substituting soya protein concentrate (SPC), with white lupin (Lupinus albus) meal in carp (Cyprinus carpio) diets. This study further investigated the dietary inclusion of a solid-state fermentation (SSF) product of Aspergillus niger in tandem with SPC replacement. Six experimental diets were produced to be isonitrogenous (42%), isolipdic (8%) and isoenergetic (19 MJ kg−1). Four diets were formulated to have 12.5 and 25% substitution of SPC using lupin meal, and with and without a supplement of 0.1% of SSF. An additional two diets were designed to serve as a basal reference with no SPC replacement, but one supplemented with 0.1% SSF inclusion. The results of this study showed that SPC can be replaced with up to 25% white lupin meal in carp diets, without reduction of growth performance, feed utilisation, body composition, gut integrity or health. The addition of SSF to the test diets enhanced growth performance (specific growth rate, P < 0.05) and nutrient utilisation (e.g. feed conversion ratio and protein efficiency ratio, P < 0.05)
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