Optimizing Social and Economic Inclusion through Adaptive Sports Programs for Persons with Disabilities: A Pathway to Achieving SDGs

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This study explores the impact of sport on the social inclusion and economic well-being of people with disabilities in the community and its contribution to achieving the Sustainable Development Goals (SDGs) relating to the social inclusion and economic well-being of people with disabilities. Data is collected by purposive sampling and analyzed using a qualitative method. The patterns of results show that sports can potentially transform the lives of people with disabilities, promoting social inclusion and empowerment. However, attitudinal and structural barriers, such as ableism and a need for inclusive practices in sports clubs, often hinder this potential. To overcome these challenges, develop and enact disability-inclusive sports policies. The discussion proposes some implications for achieving the Sustainable Development Goals (SDGs), particularly social inclusion, economic well-being, participation, and equality targets. Social inclusion through sport, equal economic opportunities, and encouraging the participation of athletes with disabilities in various competitions align with the SDGs’ vision to create an inclusive, equitable, and sustainable society for all people.

The Effect of Financial Information on Decision Making to Purchase Shares Using the TOPSIS Method (Technique for Order Preference by Similarity to Ideal Solution)

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In making stock investment decisions, it is important for investors to perform certain calculations and analyzes in order to be able to assess how well the performance of the issuer (company), with the aim of getting the expected rate of return and being able to minimize investment risk. This study was conducted to find out how the decisions that will be made by investors on buying shares on the Indonesia Stock Exchange using fundamental analysis. The difference between this study and previous research is that it adds a Positive Ideal Solution (PIS) and a Negative Ideal Solution (NIS) from financial information indicators ( Dept to Equity Ratio, Return on Equity, Net Profit Margin, Return On Assets, Earning Per Share, Price Earning Ratio). , and Price Book Value ) using the TOPSIS method. The sample in this study uses securities listed on the Indonesia Stock Exchange as many as 94 securities. The results showed that the Dept to Equity Ratio, Return On Assets, Earning Per Share, Price Earning Ratio, and Price Book Value had a significant effect on stock purchase decisions, while Return on Equity and Net Profit Margin had no effect on stock purchase decisions.

Understanding the Present Scenario of Women in Higher Education of Purba & Paschim Medinipur District

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The global discourse on women’s participation in higher education has gained momentum, signifying a shift towards greater gender inclusivity in educational institutions. Even with significant advancements, there are still gaps in access to and involvement in higher education, especially in areas with socioeconomic difficulties like the Indian districts of Purba and Paschim Medinipur. In this sense, the importance of higher education in influencing socioeconomic growth and empowering individuals is crucial. But a variety of obstacles, like as societal and cultural norms and institutional impediments, prevent women in these regions from pursuing higher education. It is important to comprehend the current state of women’s involvement in higher education in the Purba and Paschim Medinipur districts in order to pinpoint gaps and develop focused solutions. Through an analysis of women’s college establishment trends and enrolment patterns at different levels, this study seeks to understand the current state of women’s involvement in higher education in these districts. The study indicates that despite progress, there are still gender differences in literacy and educational attainment, which adds to the reliance and oppression of women. Comprehensive approaches, such as institutional initiatives, community-based activities, and legislative interventions, are required to address these difficulties. Affirmative action guidelines, grants, gender awareness campaigns, mentorship programmes, and community service projects are among the suggestions. Policymakers, educational institutions, and communities can create inclusive and equitable higher education systems by putting these methods into practice. This will help women reach their full potential and make valuable contributions to society.

Effect of Stock Market Development on Financial Savings in Tanzania: An Empirical Investigation (1999-2023)

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The performance of the Dar es Salaam Stock Exchange (DSE) since its inception in 1998 followed liberalization of the financial sector in 1991 has been very positive and has also demonstrated that there is huge untapped potential financial capital within the country.  For this reason, this study aimed at investigating the impact of stock market development on financial savings in Tanzania from 1999 to 2023 period using quarterly time series data. The study employs econometric analysis in which the error correction model (ECM) is applied to analyze the financial savings function. The overall significant determinants of financial savings included in the model were statistically significant. The results indicated that real GDP in both long run and short run estimation is relevant variable for explaining the variations in the financial savings in Tanzania whereas stock market in terms market capitalization is relevant variable both in the short-run and long run estimation. There is significant evidence that stock market development in Tanzania has negative effect and that it reduces financial savings function in both short run and long-run via market capitalization. The negative effect of stock market development on financial savings might poses problems to the conduct of monetary policy in Tanzania, by failing to correctly target monetary growth in the economy.

The Correlation between the Knowledge and Understanding of Eating Behavior Appropriate for each Blood Type and its Impact on Obesity among the Population in Bangkok

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Obesity is now a major concern among Thai citizens and the world population, as the proportion of people who are obese has been rising for decades. Obesity can lead to many health issues, such as heart disease, stroke, hypertension, and diabetes, and therefore is a problem that should be addressed. As various studies have suggested, there is an association between blood types and certain diseases including obesity. Eating behaviors appropriate for each blood type is one of the suggested ways to lose weight and be healthy. Accordingly, we conducted a survey on the Bangkok citizens to find the correlation between their knowledge and understanding of eating behaviors appropriate for each blood type and their impact on obesity, with a total of 301 responses obtained from Google Forms. The questionnaires include general information and questions about blood type diets. The results showed no significant correlation between knowledge and understanding of blood type diets and the body mass index (BMI). However, there is a significant correlation between gender and knowledge of the blood type diet. As a result, this study has revealed a lack of awareness on blood type diets among the population in Bangkok, which has a knowledge score of 7.99 out of 20, and showed that there is no significant correlation between the score and obesity.

Decision Making to Choose Communication Network System for Teleremote Dozer Operation Using Analytic Hierarchy Process

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One type of heavy equipment is a mining material pushing tool called a dozer. Dozers generally work in areas near cliffs that are prone to landslides, where these areas can be classified as dangerous areas. New technology is needed to increase the safety of dozer operators from the threat of danger when operating a dozer. Teleremote dozers are one method that can reduce the risk of accidents that can happen to dozer operators. Instead of operating the dozer from inside the cabin, the operator operates the dozer via a remote control device.

There is an important aspect in operating a teleremote dozer, namely the need for a signal that will transmit data and commands from the remote control to the dozer unit operating in the field. Good and uninterrupted signal quality is the main key to good teleremote dozer operations with minimal risk.

The wireless signal network system currently used by companies will enter its obsolete period. However, the old system was tough and not easily damaged. There are strategic options for supporting the signal network for teleremote dozer operations: maintaining the old network system, replacing it with a new one, or using the old and new systems in a hybrid manner. Because there will only be one strategy chosen, a decision must be made. The SWOT AHP method is used for decision making regarding the strategy to be taken. The results of the AHP SWOT will produce a strategy, which will become a benchmark for making subsequent alternatives. Determining alternative types of network systems to support teleremote dozer operations will use the AHP method.

Investigating the Correlation between Frustration and Values with an Emphasis on Gender

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This research paper investigates the correlation between individuals’ reactions to frustration and their values, with an emphasis on sex differences. Frustration is an arbitrary emotional response to obstacles or unmet expectations, although social values carry beliefs and principles that guide behavior within a societal context. Getting a gist of how sex influences these aspects can shed light on societal dynamics and inform interventions aimed at promoting psychological well-being and social harmony. The study undergoes a quantitative approach to the data, through different scales using SPSS to analyze data and gather comprehensive insights. Results reveal new patterns in how individuals of different genders perceive and respond to frustration in relation to their value system, Enlightening the need for gender-sensitive works in addressing emotional regulation and socialization processes.

Remaining Life Assessment of Kotabaru 2×7 MW Coal Fired Power Plant Circulating Water A252 Gr 2 Intake Pipe by Inspection Method

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Kotabaru power plant is a power plant that was built in 2010 and currently the construction work is pending. The construction work stopped in 2014 and based on Kotabaru power plant construction final quantity report, Kotabaru construction work progress is 79,61% up to now. Kotabaru power plant uses open cooling system and takes seawater as cooling water resources. The seawater distribute through intake pipeline which use A252 grade 2 material 600 mm and 800 mm diameter pipeline with 3PL coating and rubber lining inside the pipe. The pipeline distribute the water in 3.184.739 kg/hr flow rate and 5 kg/cm2 G pressure. These pipeline material was on site in 2013 and it was not constructed yet. In 2022 Kotabaru power plant is planned to continue the construction work progress. It was about 9 years of pipeline material on Kotabaru power plant site and these pipeline is exposed to the environment such as sunlight, temperature, oxygen, water, and contaminants and cause a primer failure, especially ultraviolet light (UV) from the sunlight is the main damaging factor. Ultraviolet light from sunlight is high enough to break the coating of pipeline. Inspection and assess the pipeline can help the management to figure out pipeline actual condition. More effective inspections can reduce the risk level by reducing the frequency of future failures, through corrective and preventive action. In general, the purpose of this method is classify all risk level equipment, calculate the risk value of all equipment and it can help to make a decision to the next construction period. The service lifetime of pipeline prediction can be determined by actual pipe condition by use corrosion test and actual thickness dimension of the pipeline. This method will inform the life time prediction of the pipeline that should be meet the 15 years life time required and also inform the risk matrix value of all pipeline equipment on the site.

Predictive Analysis for Personalized Machine: Leveraging Patient Data for Enhanced Healthcare

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This research explores predictive analysis for personalized machine: leveraging patient data for enhanced healthcare. By leveraging the power of information and analytics, the healthcare industry can be driven towards a more patient-centric, proactive model that enhances outcomes and improve the overall quality of care. The objectives of the study are to: determine the significance and challenges of predictive analytics in healthcare, ascertain the data analytics techniques used in healthcare to enhance patient care, find out how predictive analytics can be applied for enhanced healthcare, and determine the ethical considerations associated with healthcare predictive analytics. This study employs the case study approach and experimental design. The study analyzes case studies of real-time deployment of predictive analytics models in healthcare centers, examines how these models enhance the healthcare delivery in those centers. Experiments were also conducted to understand how predictive analytics works. The C4.5 learning algorithm was employed to predict the presence of chronic kidney disease (CKD) in patients and differentiate between those not affected by the condition. The C4.5 classifier shows reasonable strength, evident in the large number of rightly classified occurrences (396) and a low misclassification of only 4 occurrences. This is further demonstrated by a low error rate of 0.37, as shown in table 5. The prevalence of this algorithm is emphasized by the large value of KS (0.97), indicating the classifier’s ground-breaking accuracy and performance. The performance of C4.5, featured by its minimal execution time and accuracy, puts it as a decent classifier. This characteristic makes it specifically well-suited for application in the healthcare sector, particularly for tasks involving prediction and classification. The application of data analytics methods for predictive analysis holds significant benefits in the health sector, as it gives us the power to predict and address potential threats to human health, covering different age groups, from the young ones to the elderly. This proactive method enables early disease detection, helping in timely interventions and contributing to better decision-making.

 

Leveraging Electronic Health Records (EHR) for Enhanced Patient Care

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This study analyzes how electronic health records (EHR) can be utilized to enhance patient care. The objectives of the study are to; design predictive models to recognize patients are risk of developing some specific conditions; evaluate the effect of EHR systems on patient care outcomes; ascertain the impact of EHR systems on physicians’ work; and develop a framework for incorporating EHR analysis into hospital systems, thus enabling real-time decision-making by healthcare specialists. This study adopts a qualitative research using semi-structured interviews, which was directed to physicians who had at least a year experience at Primary Health Care Centres (PHCs) to gather information about the current content and scope of Electronic Health Record Systems. Most of the respondents interviewed said that the health information system’s adaptation and the availability of Electronic Health Records influenced encounters for patients positively in their PHCs. They talked about the many benefits of EHR in terms of effectiveness, which include the availability of patient information and accuracy of patient documentation; these are often hard to find in their paper documents. The interviewees also indicated that EHRs allow eprescribe of medication, which is a huge plus to the old system of prescribing and administering medicine to patients. The physicians stressed the need for private clinics and primary healthcare centres to share and link their systems to enhance the functionality of the EHR. The study recommends that; there is need for the PHC EHR system to integrate across other government and private institutions. There is also a need for increased capacity to support patients with physical activity and nutrition.