ANN Model For SiGe HBTs Constructed From Time-Domain Large-Signal Measurements

We construct a large-signal artificial neural network (ANN) model for SiGe HBTs, directly from time-domain large-signal measurements. It is known that HBTs are very sensitive to self-heating and therefore we explicitly study the effect on the model accuracy of the incorporation of the self-heating effect in the behavioural model description. Finally, we show that this type of models can be accurate at extreme operating conditions, where classical compact models start to fail

Flexural strengthening of the continuous unbonded post -tensioned HSC beams by precast SIFCON laminates

Slurry Infiltrated Fiber Concrete (SIFCON) is a cementitious composite with outstanding durability and mechanical characteristics. Accordingly, the current research studies the behavior of continuous unbonded post-tensioned HSC beams that were flexural strengthened with precast SIFCON laminates. Four prestressed concrete beams with dimensions (200x300) mm and 4300 mm length were fabricated have been strengthened with 30 mm thick precast SIFCON laminates gluing with epoxy and were tested to understand the influence of their strengthening with using the various length of the laminates. The results showed that the use of precast SIFCON laminates is an effective method in enhancing the capacity of load-carrying and stiffness of continuous unbonded post-tensioned HSC beams. Used various lengths of precast SIFCON laminates in hogging and sagging regions led to positively affected by delaying the first crack appearance time of the tested beams between (56.1%-60%), Increased the ultimate flexural capacity of the test beams (36.9%-43.6%), and improving in stiffness about (153.7%-243.6%). When comparing specimens unstrengthened and strengthened, the strengthening generally leads to a reduction in the crack width in central support and mid-span regions. In other words, the crack behavior was enhanced

Various methods for retrofitting prestressed concrete members: A critical review

Structures of a building can get exposed to adverse conditions resulting from overloading situations, which would eventually contribute to massive building degradation. The choice to repair the building structures seems to be very costly. The possible step that could be taken is by implementing a method of reinforcing and strengthening the building structures. For the past years, strengthening methods by implementing various innovative technologies has been seen to become a modern scientific topic in the fields of environmental and civil engineering study. Previous related studies on the reinforcement of pre-stressed concrete beams (PSC) by adding different elements have been observed by past researchers. The tests were carried out to evaluate the shear and flexural capacities of the building structures after the mechanisms were installed. A large number of scholars have conducted such studies with different types of interacting factors. In this study, a review will be presented by analyzing various techniques that have been implemented by multiple researchers for strengthening pre-stressed concrete beams, as well as their shear and flexure performances of the beams

Quantification of the components of the Iraqi Chicken wet egg yolk, and characterization of Lecithin.

The target of this study is to determine the Iraqi wet egg yolk constituents, and to characterize the Lecithin of this wet egg yolk. The protein of Egg yolk was extracted using and was to be (55.27 %) while water content represent (25 %). Oil content was (13.23 %) isolated from the remaining egg yolk using acetone according to AOCS Official Method Ja 4-46 [1]. Finally Lecithin content was (22.4 %). Pure Lecithin was characterized by FT-IR, U.V-Vis. Analysis, and Powder X-ray diffraction. Keywords: Wet Egg Yolk, characterization, Lecithin, Quantification, Iraqi Chicken

Protective actions of des-acylated ghrelin on brain injury and blood-brain barrier disruption after stroke in mice

The major ghrelin forms, acylated ghrelin and des-acylated ghrelin, are novel gastrointestinal hormones. Moreover, emerging evidence indicates that these peptides may have other functions including neuro- and vaso-protection. Here, we investigated whether post-stroke treatment with acylated ghrelin or des-acylated ghrelin could improve functional and histological endpoints of stroke outcome in mice after transient middle cerebral artery occlusion (tMCAo). We found that des-acylated ghrelin (1 mg/kg) improved neurological and functional performance, reduced infarct and swelling, and decreased apoptosis. In addition, it reduced blood-brain barrier (BBB) disruption in vivo and attenuated the hyper-permeability of mouse cerebral microvascular endothelial cells after oxygen glucose deprivation and reoxygenation (OGD + RO). By contrast, acylated ghrelin (1 mg/kg or 5 mg/kg) had no significant effect on these endpoints of stroke outcome. Next we found that des-acylated ghrelin's vasoprotective actions were associated with increased expression of tight junction proteins (occludin and claudin-5), and decreased cell death. Moreover, it attenuated superoxide production, Nox activity and expression of 3-nitrotyrosine. Collectively, these results demonstrate that post-stroke treatment with des-acylated ghrelin, but not acylated ghrelin, protects against ischaemia/reperfusion-induced brain injury and swelling, and BBB disruption, by reducing oxidative and/or nitrosative damage

Pengaruh Pendidikan Kesehatan Terhadap Tingakat Pengetahuan Siswa Tentang Cara Pencegahan Penyakit Hiv/aids Di SMA Negeri 1 Manado

: HIV/AIDS is a big problem that threatening Indonesia and many country in the world. AIDS(Acquired Immunodeficiency Syndrome) can be defined as a collection of symptoms or disease caused by decreased immunity due to infection by the HIV virus (Human Immunodeficiency Virus). AIDS is the final stage of HIV infection. The symptoms are fever, rash, diarrhea, or cough. After the acute infection, begins the HIV infection asymptomatic (without symptoms). This asymptomatic period usually lasts for 8-10 years. The purpose of this study was to determine The Effect of Health Education on knowlegde level students about HIV/AIDS prevention. This research was conducted using the method of one-group pretest-posttest, the selection of sample by random sampling. The sample was 100 respondents. Then, the data obtained were processed using SPSS version 16.00 and analyzed using statistical tests Paired Sample T-Test with a significance level (α) of 0.05. The results showed that health education either 100 or 100%. The Conclusions of this study have a significant effect of health education on the student's level of knowledge about how HIV/AIDS disease prevention with the value P = 0.000

Financial Stability of Islamic and Conventional Banks in Saudi Arabia: Evidence using Pooled and Panel Models

The financial crises are considered the major challenges facing the prosperity and stability of the banking system and menace its stability. Several studies on financial and banking sector have demonstrated that Islamic banks have shown more financial robustness and stability compared to conventional banks, over periods of financial crises. This research aims to measure the stability extent of the Saudi Arabia banks including Islamic banks and conventional banks using quarterly data from 2005 to 2011. This period is characterized by the global financial crisis shocks (2007-2008). The sample used is composed of six banks including two Islamic banks (AlRajhi Bank and AlBilad Bank) and four traditional banks (Riyad Bank, Saudi Investment Bank, Saudi British Bank and Saudi American Bank). This sample represents an important part of 64% of the Saudi banking sector and covers close to two thirds of banks whose shares are traded on the Saudi stock market. The research focuses on three types of variables related to bank, banking system and macroeconomic levels. The paper is based on quantitative tools using panel regression and pooled regression to model the z-score index for testing the banks stability in Saudi Arabia. The panel data model shows that Islamic banks reduce relatively the value of the financial stability index; meanwhile, they contribute efficiently to enhance the financial stability through the diversification of their assets. The findings indicate those Riyad Bank and SAMBA groups support efficiently the financial stability of banking sector, while AlRajhi bank has a positive but moderate role in enhancing the banking sector stability. The Saudi banking sector has relatively less level of competitiveness, that affecting negatively the financial stability. The limited representation of Islamic banks in the Saudi banking sector jeopardizes any efforts to improve the financial stability index

Synergic Deep Learning For Smart Health Diagnosis Of Covid-19 For Connected Living And Smart Cities

COVID-19 pandemic has led to a significant loss of global deaths, economical status, and so on. To prevent and control COVID-19, a range of smart, complex, spatially heterogeneous, control solutions, and strategies have been conducted. Earlier classification of 2019 novel coronavirus disease (COVID-19) is needed to cure and control the disease. It results in a requirement of secondary diagnosis models, since no precise automated toolkits exist. The latest finding attained using radiological imaging techniques highlighted that the images hold noticeable details regarding the COVID-19 virus. The application of recent artificial intelligence (AI) and deep learning (DL) approaches integrated to radiological images finds useful to accurately detect the disease. This article introduces a new synergic deep learning (SDL)-based smart health diagnosis of COVID-19 using Chest X-Ray Images. The SDL makes use of dual deep convolutional neural networks (DCNNs) and involves a mutual learning process from one another. Particularly, the representation of images learned by both DCNNs is provided as the input of a synergic network, which has a fully connected structure and predicts whether the pair of input images come under the identical class. Besides, the proposed SDL model involves a fuzzy bilateral filtering (FBF) model to pre-process the input image. The integration of FBL and SDL resulted in the effective classification of COVID-19. To investigate the classifier outcome of the SDL model, a detailed set of simulations takes place and ensures the effective performance of the FBF-SDL model over the compared methods

Dye-sensitized solar cells using dyes extracted from flowers, leaves, parks, and roots of three trees

In this paper, eleven natural dyes were collected from three trees and used as photosensitizers for dye sensitized solar cells (DSSCs). The cells were fabricated using TiO2 as a semiconducting layer deposited on transparent fluorine doped tin oxide (FTO) conductive glass using doctor blade method. The absorption spectra of the extracts were performed in the spectral range from 400 nm to 750 nm. The JV characteristic curves of all fabricated cells were measured and analyzed. The parameters related to the solar cell performance were determined. Moreover, the impedance spectroscopy of the cell with the best performance was investigated