15 research outputs found

    Nephroprotective Activity of Green Microalgae, Chlorella sorokiniana Isolated from Jordanian Water

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    Nephropathy is a global health issue that affects more than 20% of the adult population. Nephropathy is expected to be the fifth leading cause of death worldwide over the coming two decades. The introduction of green microalgae in nutrition and therapeutics for their biological activities is increasing. The current study examined the effect of Chlorella sorokiniana on renal health after inducing nephrotoxicity in mice. Preliminary screening of the algal aqueous extract revealed the presence of soluble polyphenols and triterpenoids. Successive intraperitoneal doses of gentamicin were administered to mice to induce nephrotoxicity. Concurrent intraperitoneal doses of the algal extract were administered to the infected mice to evaluate their nephroprotective activity. Two different concentrations of the treatment agent were administered in successive doses to two groups of mice. The tested concentrations were 150 and 300 mg/kg of mouse weight, respectively. The other two groups were either left untreated (normal control) or treated only with antibiotics (negative control). Creatinine, urea, and uric acid levels were analyzed in both serum and urine samples to evaluate the renal health of each animal group. Histochemical examination of the renal tissues was performed to assess the damage and improvement status. In vivo studies revealed a promising and significant nephroprotective activity of C. sorokiniana

    The status of hepatitis C virus infection among people who inject drugs in the Middle East and North Africa.

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    BACKGROUND AND AIMS: People who inject drugs (PWID) are a key population at high risk of hepatitis C virus (HCV) infection. The aim of this study was to delineate the epidemiology of HCV in PWID in the Middle East and North Africa (MENA). METHODS: Syntheses of data were conducted on the standardized and systematically assembled databases of the MENA HCV Epidemiology Synthesis Project, 1989-2018. Random-effects meta-analyses and meta-regressions were performed. Meta-regression variables included country, study site, year of data collection and year of publication [to assess trends in HCV antibody prevalence over time], sample size and sampling methodology. Numbers of chronically infected PWID across MENA were estimated. The Shannon Diversity Index was calculated to assess genotype diversity. RESULTS: Based on 118 HCV antibody prevalence measures, the pooled mean prevalence in PWID for all MENA was 49.3% [95% confidence interval (CI) = 44.4-54.1%]. The country-specific pooled mean ranged from 21.7% (95% CI = 4.9-38.6%) in Tunisia to 94.2% (95% CI = 90.8-96.7%) in Libya. An estimated 221 704 PWID were chronically infected, with the largest numbers found in Iran at 68 526 and in Pakistan at 46 554. There was no statistically significant evidence for a decline in HCV antibody prevalence over time. Genotype diversity was moderate (Shannon Diversity Index of 1.01 out of 1.95; 52.1%). The pooled mean percentage for each HCV genotype was highest in genotype 3 (42.7%) and in genotype 1 (35.9%). CONCLUSION: Half of people who inject drugs in the Middle East and North Africa appear to have ever been infected with hepatitis C virus, but there are large variations in antibody prevalence among countries. In addition to > 200 000 chronically infected current people who inject drugs, there is an unknown number of people who no longer inject drugs who may have acquired hepatitis C virus during past injecting drug use. Harm reduction services must be expanded, and innovative strategies need to be employed to ensure accessibility to hepatitis C virus testing and treatment

    Abstracts from the 3rd International Genomic Medicine Conference (3rd IGMC 2015)

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    Examining the Significance of General Indian English and Soft Skills: an Employability Perspective

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    The Corporate sector has witnessed a drastic change in the last few decades around the world and India is no exception to it. Ever since the proliferation of globalization, inter-state business has grown up like never before. Consequently, multinational companies are gradually taking over the local businesses, which created a paradigm shift in the recruitment processes of companies to meet the demands of the job market. Earlier, people used to get recruited merely on the basis of their job-specific skills called Hard Skills. Today, employers need candidates who can communicate well in English as this language serves as the lingua franca, i.e. a common language of communication among employees of different regional and linguistic backgrounds. Moreover, particular preference is given to the candidates who possess certain necessary skills in addition to hard skills such as communication skill, time management, leadership, adaptability, team work and so on. These skills are known as soft skills. Thus, young job aspirants who can speak fluently and intelligibly in English and possess soft skills get an edge not only during the recruitment process but also during the job. In the above-discussed context, this paper attempts to carry out a critical analysis of teaching General Indian English and soft skills for generating employability among Indian job. To test the same an activity-based study was conducted with a group of 20 undergraduate students which consisted of pre-training and a post-training test. The analysis of the results showed positive changes in students' attitudes and confidence after they undergo soft skills activities as well as spoken English lessons in General Indian English. Thus, this study suggests the integration of a paper on GIE and soft skills across all disciplines at undergraduate level or a short course on the same

    Impacts of Adiposity on the Attentional Cost of Sensory-Motor Performance Associated with Mobility in a Dual-Task Paradigm

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    (1) Background: Obesity is one of the most prevalent health problems worldwide. Studies have evidenced that the increase in body weight affects the normal neuromusculoskeletal function, which leads to abnormal gait patterns and impaired balance. (2) Objective: The aim of this study was to examine the influence of dual-task activity (cognitive-motor task) on gait parameters and balance among obese students. (3) Material and methods: A cross-sectional study was conducted among students (18–28 years old), including 120 obese and 120 age-matched normal-weight control subjects, selected at random using simple random sampling, from the Majmaah, Riyadh, Dammam, and Jizan regions of Saudi Arabia. The gait speed was measured in seconds while the controls and the obese subjects performed a dual-task activity of walking down a level, well-lit, narrow lane at their own speed, counting backwards from 100 by 4 s. (4) Results: The results of our study suggest a significant difference in the effect of the dual-task paradigm on the gait speed (t = 21.05, p = 000) of obese participants when compared to their age-matched counterparts. A significant correlation was found between BMI and gait speed and balance, irrespective of the gender of the obese student. A high degree of positive correlation (r = 0.705, p < 0.001) was found between BMI and gait speed, and a high degree of inverse correlation (r = −0.648, p < 0.001) was found between BMI and balance among obese students A multiple regression model explained 60% of the variance in gait speed and was statistically significant (R2 = 0.60, F (4, 235) = 90.65, p = 0.000) with BMI (β = 0.018, p = 0.000) and balance (β = 0.015, p = 0.000) significantly predicting gait speed. (5) Conclusion: The results of the current study provide evidence that obesity significantly influences gait speed and balance due to the inclusion of a contemporaneous cognitive task. The results also suggest that the dual-task paradigm affects both genders equally

    Advanced signal processing algorithms for cardiorespiratory monitoring in the neonatal intensive care unit

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    This chapter provides basic principles aimed at understanding advanced engineering and mathematical methods that could potentially provide effective assisting technology in the neonatal intensive care unit (NICU). The included material by no means represents a comprehensive review of the state-of-the-art in the field, but purposely travels along a very narrow line in order to offer the reader a specific pathway needed to understand some of the main conceptual and practical steps to be considered from a biomedical engineering point of view. The chapter is organized in compact paragraphs aimed at threading lines guiding the reader through a narrowly selected bibliographic body of knowledge. The selected material is divided in four sections. The first three sections concisely outline the three main research lines and connect the reader to Clinical, Physiological, and Methodological Background respectively. The last fourth section provides a methodological outline of a specific exemplary approach based on a physiological model of heartbeat dynamics defined by using the statistical theory of point processes
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