Volume 11 | Issue 3 |

 Abstract

Background: The unique situation of Iraq in high prevalence of low birth weight and prematurity was attributed in literature to maternal malnutrition and exposure to violence and civil war. The role of magnesium and calcium in missed abortion was tackled in Iraq. Objective: to report on the role of hypomagnesemia in preterm labor in Baghdad, Iraq. Methods: Case files of 200 women delivered in Baghdad Teaching Hospital were included in the study for the period 1st Oct. to 31st July 2021. They were with singleton pregnancy. The requested data were demographic data, parity, weight and height and serum magnesium level. Results: Half of the women gave a preterm infant. The peak of preterm was among maternal age 26-35 years. No significant impact of age on preterm delivery (p = 0.7). Parity and BMI were not significantly associated with preterm delivery (p = 0.6 and 0.3, respectively). A significant higher preterm delivery (63.01%) among women with hypomagnesemia than that among with normal magnesium level (52.7%). Conclusion: Low serum magnesium level during pregnancy precipitates preterm birth.

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Preterm delivery, Magnesium level, Iraq, Baghdad

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There are different applications of computer vision and digital image processing in various applied domains and automated production processes. Automatic defect detection is crucial in the textile industry as the quality and price of textile products rely on its efficiency and effectiveness. Fabric defect detection has been a challenging task, and manual human efforts were previously used to detect defects in the fabric production process. The major drawbacks of the manual fabric defect detection method are lack of concentration, human fatigue, and time consumption. Applications based on computer vision and digital image processing can handle the aforementioned limitations and drawbacks. Numerous computer vision-based applications have been proposed in research articles over the past two decades to overcome these limitations. The objective of this review article is to provide a comprehensive analysis of different computer vision-based techniques that are applied in the textile industry for fabric defect detection. The suggested study presents an extensive analysis of various techniques such as histogram-based methods, color-based methods, image segmentation-based methods, frequency domain operations, texture-based defect detection, sparse feature-based operations, image morphology operations, and recent advancements in deep learning. The performance evaluation criteria for automatic fabric defect detection are also presented and discussed. The disadvantages and limitations of the existing published study are thoroughly discussed, as are potential future research directions. This research study offers in-depth information on computer vision and digital image processing applications for detecting various types of fabric defects.

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Fabric Detection, Deep Learning

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Although drug use among high school students and household members has decreased in recent years, high rates of substance abuse among arrestees, homeless people, and school dropouts, as well as an increasing trend in the number of drug-related hospital emergency room incidents, suggest that substance abuse has not decreased among some populations. A variety of risk factors have been identified in prospective longitudinal studies that consistently predict a higher incidence of substance misuse. Individuals who are exposed to several risk factors and few protective influences during infancy, childhood, and early adolescence are most likely to abuse substances later in adolescence and early adulthood. Efforts to minimize risk and strengthen protective variables across various domains show promise for successful substance addiction prevention in high-risk groups. Through this paper an attempt has been made to study the trend of the escalating problem of substance abuse in India and its social impact.

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Substance abuse, family, risks, adolescence or youth and social impact.

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This research paper aims to study the potential of housewives to establish small-scale businesses. From an ancient period, we knew housewives as an individual typically women, who manage household chores like cooking, cleaning, child care, and caring for other family members, etc. Regarding the housewives' perspective of the world housewife means an individual who plays important role in maintaining a home and family responsibilities. In recent years, the perspective of the world and people are shifted towards women's empowerment to explore their potential in different fields including entrepreneurship.

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womanhood, potential of housewives, challenges in entrepreneurship, business

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 Abstract

PRATYUSHA ROY

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PRATYUSHA ROY

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The Structural Lightweight concrete is one of the important materials of the construction. THE Paper presents a technique to one of the crucial building components that is lightweight concrete. Concrete that is both lightweight and sufficiently sustainable and that is combined with steel reinforcement will be a more cost-effective material than traditional concrete. As a result, concrete that is both strong and light will be more advantageous economically. . The use of lightweight aggregate in construction industry will increase in near future since it offers functional and economical advantages to the house building projects particularly. The low density products reduce self weight and construction costs. There are different types of light weight aggregate suitable for construction purposes. They vary in their composition,density, surface texture, porosity and water absorption capacity . Typical concrete has a density of 24-25 kN/m 3 which raises the self-weight of the structure and makes it uneconomical. So to reduce the weight of the structure the lightweight concrete is used. One of the methods to produce lightweight concrete is to use Expanded Polystyrene beads as a partial substitute to course aggregate. This study's major goals are to product lightweight concrete and also to figure out the optimum dosage of Expanded Polystyrene Beads.

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Expanded polystyrene, Light weight concrete.

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In the 21st century Social media has a huge impact on people's lifestyle & their perspective. In this project, We tend to create groups & participate in various discussions through the social media community. For example, users who are social workers and introduce new issues and discussions on social media. Furthermore, positive or negative attitudes can also be inferred from those discussions. Such problems require a formal analysis of social media logs and units of information that can spread from person to person through the social network.

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Clustering Algorithm, Social media, Machine Learning

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The present work investigates enhancement of dissolution profile of Ziprasidone using super disintegrants like croscaramellose sodium and sodium starch glycolate. Ziprasidone fast disintegrating tablets (FDT) can be prepared direct compression method. Effect of disintegrants on disintegration and dissolution parameters was studied. Disintegrating time and dissolution parameter (T50% and T90%) decreased with increases in the level of croscarmellose sodium and sodium starch glycolate. It was concluded that the ZF6 formulation with croscaramellose sodium (6%) as super disintegrating agent shows good drug release on ziprasidone tablet formulation.

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FORMULATION AND IN-VITRO CHARACTERISATION OF FAST DISINTEGRATING TABLETS OF ZIPROSIDONE

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Women's participation in Self Help Groups has made a tremendous impact on the lifestyle of rural women. They are empowered not only as individuals but also at various levels such as family members, community members, economic status and the society as a whole. They meet with the aim of solving their common problems through self-help and mutual aid. It improves general knowledge, awareness and bargaining power of rural women. It is one of the best technologies to eradicate poverty and improve women entrepreneurship and financial empowerment in India as a whole. The present paper is confined to the economic empowerment of rural women through self-help groups in Kolipara mandal of Guntur district. In the present study simple statistical tools have been adopted based on the analysis of economic empowerment of rural women through self-help groups in selected models of Guntur district, the main findings of this study are that economic empowerment has a positive impact on rural women in Kolipara Mandal of Guntur district of Andhra Pradesh.

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Economic Empowerment, Women Empowerment, Rural Women, Self Help Groups, Kollipara Mandal, Guntur, Andhra Pradesh.

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Creativity is the ability which is most valued in all societies. Synectics model of teaching is one such approach which seems to have the genuine potentiality for enhancing creativity of the learners as it provides them the scope to participate in various metaphorical activities - the key to creative thinking ability through which they can be given opportunity to think critically and divergently. Synectics brings out creativity of the students. It is a very sophisticated technique for stimulating creativity. Gordon and his associates successfully employed it in finding solutions to a number of intractable technical problems. The present study reveals and observed that experimental group performance in respect of test of Descriptive Style is significantly higher than control group performance.

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EXPERIMENTAL EFFECTIVENESS OF SYNECTICS MODEL ON THE PERFORMANCE OF DESCRIPTIVE STYLE IN ENGLISH LANGUAGE AT THE SECONDARY SCHOOL LEVEL

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