227 research outputs found

    An adjustable HVDC power supply using integrated high voltage transformer with some protective & controlling features

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    We can produce variable/adjustable HVDC with a little arrangement using Fly back Transformer (IHVT), Tesla coil, car ignition coil & other type of step-up auto transformer found in microwave oven, X-ray units & in similar devices. This arrangement of circuitry is very reliable & light weight. In our experiment we made a power supply using Integrated High Voltage Transformer & try to give it several protective & controlling features to its driver circuitry to increase the longevity of the power supply. As far as the general run of small-scale electronics is concerned, EHT (extra high tension)/HVDC power supplies are used mainly for cathode ray tube (CRT) anodes and for some specialized purposes such as Geiger-Muller counters and photomultipliers. None of these applications calls for a large current drain. As an example, X-ray equipment may require 100 kVDC at a current of less than 1 A. Some of these EHT supplies such as those used for radio transmitters or particle accelerators demand very substantial currents. As an example, large radio transmitters may call for a 20 kVDC supply at several amperes of current

    Bayesian Nonlinear Regression Models based on Slash Skew-t Distribution

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    This paper considers the Bayesian analysis for estimating the parameters of nonlinear regression model when the error term has a slash skew-t distribution. This model is an asymmetric nonlinear regression model which is suitable for fitting the data sets with heavy tail and skewness. The properties of this model are derived and a hierarchical representation of this model based on the stochastic representation of slash skew-t distribution is given. This representation allows us to use Markov Chain Monte Carlo method to estimate the parameters of model. To compare this model with other asymmetric nonlinear regression models, we use conditional predictive ordinate statistic and deviance information, expected Akaike information and expected Bayesian information criterions, and show the performance of the proposed model by a simulation study. Also an application of the new model to fitting a real data set is discussed

    The effect of 7 weeks corrective exercise on thoracic kyphosis in hyper-kyphotic students

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    زمینه و هدف: افزایش زاویه کیفوز در بزرگسالی با کاهش توانایی عملکردی و همچنین کاهش توانایی انجام کارهای روزانه منزل ارتباط دارد و به نظر می رسد تمرینات قدرتی و کششی بتواند از طریق هماهنگ کردن گروه های عضلانی موافق و مخالف میزان زاویه کیفوز را کاهش دهد. این تحقیق با هدف بررسی تاثیر 7 هفته تمرینات اصلاحی زاویه کیفوز پشتی دانشجویان پسر مبتلا به هایپرکیفوزیس و همچنین بررسی تغییرات زاویه کیفوز پس از یک دوره 4 ماهه انجام شد. روش بررسی: در این کارآزمایی بالینی، 25 نفر از دانشجویان پسر مبتلا به هایپرکایفوزیس به روش هدفمند انتخاب و به طور تصادفی به دو گروه تجربی (12 نفر) و کنترل (13 نفر) تقسیم شدند. گروه تجربی به مدت 7 هفته، هفته ای سه جلسه 45-30 دقیقه ای به تمرین پرداختند. اندازه زاویه کیفوز قبل و بعد از دوره تمرینات و 4 ماه پس از پایان تمرینات با کمک دستگاه اسپاینال موس اندازه گیری شد. داده ها به کمک آزمون های آماری تحلیل واریانس با اندازه گیری تکراری، t مستقل و t وابسته تجزیه و تحلیل شدند. یافته ها: در گروه تجربی بین میانگین زاویه کیفوز در پیش آزمون (7/4±0/57)، پس از دوره تمرینات (7/4±3/43) و 4 ماه پس از پایان تمرینات (2/4±8/54) تفاوت معنی دار وجود داشت (001/0

    The effect of strengthening and endurance training on metabolic factors, quality of life and mental health in women with type П diabetes

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    زمینه و هدف: دیابت شیرین گروهی هتروژن از بیماری های متابولیک است که مشخصه آنها افزایش مزمن قند خون و اختلال متابولیسم کربوهیدارات، چربی و پروتئین می باشد. این تحقیق به منظور تاثیر یک دوره تمرینات قدرتی و استقامتی بر فاکتورهای متابولیک، کیفیت زندگی و سلامت روان زنان مبتلا به دیابت نوع II انجام گردید. روش بررسی: در این تحقیق نیمه تجربی از بین زنان مبتلا به دیابت نوع Π مراجعه کننده به کلینیک شرکت نفت اراک، تعداد 19 نفر به روش در دسترس انتخاب شدند. بیماران به صورت تصادفی در دو گروه قدرتی (9 نفر) و استقامتی (10 نفر) قرار گرفتند و علاوه بر درمان روتین به مدت 8 هفته (3 جلسه در هفته و هر جلسه 50-30 دقیقه) تمرینات را اجرا نمودند. قبل و پس از مداخله فاکتورهای متابولیک (شامل کلسترول تام، تری گلیسیرید، کلسترول HDL و VLDL و LDL، FBS، HbA1C و انسولین سرم)، کیفیت زندگی (SF-36) و سلامت روان (GHQ) بیماران بررسی و داده ها با استفاده از آزمون آماری t همبستگی تجزیه و تحلیل شد. یافته ها: انجام تمرینات قدرتی و استقامتی باعث کاهش FBS، HbA1c، انسولین سرم، و افزایش میانگین کیفیت زندگی در کلیه ابعاد و سلامت روان گردید (05/0P). نتیجه گیری: تمرینات قدرتی و استقامتی به میزان یکسان بر بعضی از فاکتورهای متابولیک، کیفیت زندگی و سلامت روان بیماران دیابتی نوع 2 تأثیر دارد و باعث بهبود آن ها می شود

    Long-Term Follow-Up of Flexible Bronchoscopic Treatment for Bronchial Carcinoids with Curative Intent

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    Background. Typical pulmonary carcinoids represent less than 5% of primary lung tumors. In patients with typical bronchial carcinoid, formal surgical resection still remains the gold-standard treatment. Data regarding long-term outcome in using flexible bronchoscope-based modalities under conscious sedation is very limited. Objectives. We sought to investigate, over extended follow-up period, the effectiveness of endobronchial resection for carcinoid tumors with curative intent using flexible bronchoscopy. Methods. Nd:YAG laser photoresection using flexible bronchoscope under conscious sedation. Follow-up included repeat bronchoscopy every 6 months and chest CT every year. Results. Ten patients aged 24 to 70 years with endobronchial carcinoid were treated. The tumor location was variable: 2 left Main bronchus, 1 left upper lobe bronchus, 2 right main bronchus, 2 right middle lobe bronchus and 3 right lower lobe bronchus. No major complications were observed. The patients required between 2 and 4 procedures. Patients were followed for a median period of 29 months with no evidence of tumor recurrence. Conclusions. Endobronchial laser photoresection of typical bronchial carcinoids using flexible bronchsocopy under conscious sedation is an effective treatment modality for a subgroup of patients that provides excellent long-term results that are similar to outcome obtained by more invasive procedures

    Original Article Evaluation of Urinary GGT in Elite Male Karate Athletes Pre & Post Exercise

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    ABSTRACT Background and Aims: Post exercise proteinuria and increased urinary Gamma-Glutamy

    challenges for biomimetic water oxidation

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    Herein, we report the synthesis, characterization, crystal structure, density functional theory calculations, and water-oxidizing activity of a pivalate Mn–Ca cluster. All of the manganese atoms in the cluster are Mn(IV) ions and have a distorted MnO6 octahedral geometry. Three Mn(IV) ions together with a Ca(II) ion and four-oxido groups form a cubic Mn3CaO4 unit which is similar to the Mn3CaO4 cluster in the water-oxidizing complex of Photosystem II. Using scanning electron microscopy, transmission electron microscopy, energy dispersive spectrometry, extended X-ray absorption spectroscopy, chronoamperometry, and electrochemical methods, a conversion into nano-sized Mn-oxide is observed for the cluster in the water-oxidation reaction

    Predicting primary sequence-based protein-protein interactions using a Mercer series representation of nonlinear support vector machine

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    © 2022 The Authors. Published by IEEE. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://ieeexplore.ieee.org/document/9956991The prediction of protein-protein interactions (PPIs) is essential to understand the cellular processes from a medical perspective. Among the various machine learning techniques, kernel-based Support Vector Machine (SVM) has been commonly employed to discriminate between interacting and non-interacting protein pairs. The main drawback of employing the kernel-based SVM to datasets with many features, such as the primary sequence-based protein-protein dataset, is the significant increase in computational time of training stage. This increase in computational time is mainly due to the presence of the kernel in solving the quadratic optimisation problem (QOP) involved in nonlinear SVM. In order to fix this issue, we propose a novel and efficient computational algorithm by approximating the kernel-based SVM using a low-rank truncated Mercer series as well as desired. As a result, the QOP for the approximated kernel-based SVM will be very tractable in the sense that there is a significant reduction in computational time of training and validating stages. We illustrate the novelty of the proposed method by predicting the PPIs of “S. Cerevisiae” where the protein features extracted using the multiscale local descriptor (MLD), and then we compare the predictive performance of the proposed low-rank approximation with the existing methods. Finally, the new method results in significant reduction in computational time for predicting PPIs with almost as accuracy as kernel-based SVM.The authors extend their appreciation to the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia for funding this research work through the project number IF-2020-NBU-412.Published versio
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