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Research Paper

Women Empowerment and Microfinance in India

Microfinance is a crucial practise that provides modest, no-collateral loans or other forms of financial support to persons who are underserved, mostly to help such regions flourish without having access to credit. Savings, credits, insurance, remittances, loans, housing, and money are all part of microfinance services. These services give women access to a range of activities that are quite effective in reducing their patriarchal control over those assets. Thus, it promotes gender equality as well as economic advancement. By boosting their bravery and self-esteem and enabling the creation of various networks with other women in their community, microfinance is an important tool for empowering women. Additionally, it enhances their capacity to make decisions for their home.

Published by: Aaliyah Jal Gala

Author: Aaliyah Jal Gala

Paper ID: V9I2-1317

Paper Status: published

Published: June 8, 2023

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Research Paper

Operational energy demand and consumption in buildings & construction sector in India

The Buildings & Construction sector is responsible for more than one-third of the Energy Consumption in India, of which building operational energy is a large contributor. The Bureau of Energy Efficiency (BEE) in India, predicts that 40% of the total building stock that will exist at the end of two decades from now, is yet to be built, which means India will witness an unprecedented construction boom leading to further increase in energy demand in this sector. To contain Greenhouse Gas (GHG) emissions and reduce the carbon footprint of buildings, both new and existing, sustainable design strategies and technologies must be applied. This paper highlights the performance and status of countries worldwide to fight climate change, where India stands - on its path to achieving net zero targets. It also reviews key aspects of building sustainability in existing and new buildings, and energy saving potential of old and new construction. Energy Conservation Measures are simulated using computer models for Building Performance Assessment - a case study of a LEED India Gold-rated building in Chennai is presented.

Published by: Tanvi Arvind

Author: Tanvi Arvind

Paper ID: V9I2-1322

Paper Status: published

Published: June 5, 2023

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Research Paper

Statistical analysis of obstetrical mortality

Obstetrical mortality is a global public health concern that every nation prioritizes to completely eradicate or reduce to the barest minimum by improving maternal health. The research seeks to determine the trend of obstetric death in Ghana within a specified time frame and as well model the obstetric rates in Ghana using Weibull Distribution. The Weibull distribution is mostly used in reliability analysis and life data analysis because of its ability to adapt to different situations and flexible enough to model. From the trend analysis conducted using the S-curve which the data used fitted, the obstetric mortality rate is decreasing continuously with respect to increase in number of years but even at this rate, Ghana might still not meet the sustainable Development Goals target of 70 per 100,000 live births by 2030. The maximum and minimum values for the obstetric mortality for the entire period under consideration that is from 2000 to 2017 were 308 and 484 respectively. This implies that if measures are not put in place, there can be tendency of increase in obstetric death rates. Also, the maternal mortality rates for the entire period were positively skewed and leptokurtic in nature with average and coefficient of variation (CV) as 361 and 13.2 respectively. The value of the shape parameter of the Weibull slope indicates, mortality rates gradually increase to a peak, and then decreases over time.

Published by: Angela Osei-Mainoo, Rowena Serwaah Dankwaah, Buckman Akuffo

Author: Angela Osei-Mainoo

Paper ID: V9I1-1188

Paper Status: published

Published: May 24, 2023

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Review Paper

Marz akyas khusytur rahem (polycystic ovarian disease): A review

Polycystic ovarian disease (PCOD) is a common and pervasive endocrine disorder with multiple phenotypes and varied presentations. It starts to appear at 15-25 years of age and it may take years for its clinical presentation to appear. The incidence of PCOD is 4-22%. The symptoms of PCOD include irregular periods, hirsutism, acne, obesity, etc. PCOD is observed as a lifestyle disorder associated with an increased risk of reproductive problems including infertility, recurrent miscarriage, endometrial cancer, late menopause, and metabolic aberrations including insulin resistance, type 2 diabetes mellitus, dyslipidemia, and cardiovascular diseases. Unani concept: The Unani word for PCOD is Marz Akyas Khusytur Rehm. Unani physicians have classified this disease under the following headings: obesity, phlegmatic diseases, amenorrhea, and liver disorders. Unani concept of PCOD is primarily based on the dominance of khilte Brigham (Phlegm). It has been given in Unani classical books that sue mizaj barid (Abnormal cold temperament) of the liver may lead to abnormal production of balgham (phlegm). Ibne Sena and majusi mentioned the causes of ehtebaas e tams(amenorrhea) are khilte Brigham, and sue mizaj barid of reham and same mufarrit (Obesity). Again khilte Brigham is one of the causes of obesity. Due to obesity narrowing of the lumen of blood vessels develops and reduces blood circulation and sue mizaj barid causes an increase in the viscosity of humors. Unani physicians have recommended regular induction of menstruation as one of the treatment modalities applied for women who have developed masculine features suggestive of PCOD. They have given a line of management based on correction of temperament, menstrual regulation by use of emmenagogue drugs, and the local application of herbs to reduce the severity of hair growth, acne, and hyperpigmentation due to PCOD.

Published by: Dr. Md Aijaz, Dr. Umraz Mubeen, Dr. Aisha Anjum A., Dr. Manjula S., Dr. Khadeja Siddekha, Dr. Noorsabha, Dr. Athiya Anjum

Author: Dr. Md Aijaz

Paper ID: V9I2-1288

Paper Status: published

Published: May 24, 2023

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Research Paper

DXPs Digital Experience Platforms transforming fintech applications: Revolutionizing Customer Engagement and Financial Services

This research paper explores the application of Digital Experience Platforms (DXPs) in the field of financial technology (fintech) and their impact on customer engagement and the delivery of financial services. DXPs have emerged as transformative solutions that enable fintech companies to provide personalized and seamless digital experiences to their customers. This paper examines the specific use cases of DXPs in fintech, the benefits they offer to both customers and financial institutions, and the challenges involved in their implementation. Through a comprehensive analysis of literature and case studies, this research aims to shed light on the significance of DXPs in shaping the future of fintech. Digital experience platforms has capabilities to transform fintech applications. In this paper we will evaluate & compare two DXP solutions i.e. liferay DXP & Backbase DXPs along with that we will look into Digital transformation Strategy, Digitization of fintech applications, also common limitation where we should avoid DXPs.

Published by: Sourabh Sethi, Dr. Shailesh Kumar Shivakumar

Author: Sourabh Sethi

Paper ID: V9I2-1309

Paper Status: published

Published: May 23, 2023

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Research Paper

Accurate ball detection in field hockey videos using YOLOV8 algorithm

Accurately detecting the ball in field hockey videos is crucial for various applications such as player tracking, tactical analysis, and performance evaluation. This paper presents a detailed method for accurate ball detection using the YOLOv8 algorithm, which is renowned for its accuracy and real-time object detection capabilities. The proposed approach involves training the YOLOv8 model on a specialized dataset comprising annotated field hockey videos to enable precise ball identification and localization. Experimental evaluation using comprehensive metrics, including precision, recall, and mean Average Precision (mAP) demonstrates the effectiveness of the proposed method, showcasing high levels of accuracy and efficiency. By automating the ball detection process, this approach significantly reduces manual effort in field hockey video analysis and opens opportunities for advanced analytics, providing deeper insights into player behavior, strategic patterns, and overall game dynamics. The proposed method empowers researchers, coaches, and analysts to gain a comprehensive understanding of field hockey matches and make data-driven decisions to enhance team performance.

Published by: Suhas H. Patel, Dr. Dipesh Kamdar

Author: Suhas H. Patel

Paper ID: V9I2-1305

Paper Status: published

Published: May 23, 2023

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