Table of Contents

Nutritional analysis of Sphenostylis Stenocarpa seeds partially included with soya bean meal in Heterobranchus Bidorsalis fingerling diet

Published on: 27th December, 2019

OCLC Number/Unique Identifier: 8506033891

Five experimental feeding trials were conducted to investigate the performance of Heterobranchus Bidorsalis fingerlings to graded levels (0%, 25%, 50%, 75% and 100%) of Sphenostylis Stenocarpa seed meal diets. Complete randomized design with triplicate groups of fingerlings was used for the study for ten weeks. The proximate, anti-nutritional factor and amino acid profile of the S. stenocarpa was analysed. The study showed that treatment C with 50% inclusion of Sphenostylis Stenocarpa meal was significantly different (p < 0.05) and performed best among other treatments in terms of the net weight gain, standard growth rate, and survival. The feed conversion ratio was best in treatment C but not significantly different (p > 0.05) to other treatments.
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Possible links between consumption of A1 “like” milk And Type 1 Diabetes (T1D)

Published on: 27th June, 2019

OCLC Number/Unique Identifier: 8172451193

During the last three decades, there has been an interesting debate on the intake of A1 ‘like” milk and incidence of type 1 diabetes (T1D) in genetically predisposed individuals. The epidemiological, ecological and case-control studies have concrete pieces of evidences in favor of the hypothesis that is further supported by animal trials in mice and rat and in vitro trials on cell lines. But on the other hand, European Food Safety Authority reported that there isn’t sufficient data to draw a final recommendation at this stage in terms of contradictory results, lack of cause-effect relationship and being a mere suggestive evidence [1]. However, the report itself states that these studies are strong enough to formulate a concrete hypothesis and further research is needed to confirm the same. Keeping in view the published data in favor of the hypothesis and the counter-arguments, it is suggested that further research with well-designed animal and in vitro trials with intact proteins and peptides is needed to fully confirm the hypothesis. Until the issue is fully resolved, it’s the personal choice of the individuals at risk to T1D (genetically predisposed) to either remove A1 “like” or increase the A2 “like” milk from their diet. 
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Environmental Risk factors associated with Breast Cancer in Gaza Strip

Published on: 14th January, 2019

OCLC Number/Unique Identifier: 7991636172

The study aimed to identify possible environmental risk factors for breast cancer among women in Gaza Strip and conducted in 2010. A case- control study design was used with face to face interviews by structured questionnaire with breast cancer patient women as well as healthy women. Statistical Package of Social Science (SPSS) was used to analyze the collected data. The study population was 288 women, 144 were women with breast cancer (cases) and 144 were healthy women (controls) with response rate 100% for cases as well as controls. The study was carried out in the two main hospitals in Gaza Strip (El-Shifa and European Gaza) and on cases who had a regular follow up in each hospital, while controls have been chosen from women who had no history of breast cancer by mammogram or by self-examination. In this study the main statistically significant risk factors were; marital status, educational status, physical trauma on breast, medication for infertility treatment, eating red meat 500g or more weekly, eating canned food, eating chicken skin, eating raw and cooked vegetables, using oils with saturated fats in cooking, living in or beside a farm, dealing with crops with naked hands, working in a farm during pesticides application or during 24 hours of pesticides application, cleaning pesticides’ equipment, living with people working in a farm or a agricultural field, and application of pesticides personally. In contrary, no statistically significant differences were found between cases and controls in relation to area of residency, exposure to X-ray in the past, having radiation therapy, getting contraceptive pills, using hair dyes, using anti-deodorant underarm, using facial cosmetics, using hair removal ointment, washing vegetables and fruits, buying and transporting pesticides, and wearing protective tools during pesticides mixing and application.
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