Volume 11 | Issue 7 |

 Abstract

More than thousand years now, Dalits continue to live as submissive creatures, leaving their degrading and disgracing conditions to fate. Dalit literature is known for its documentation of struggles and persecution of lower castes by the upper caste people. Bama a Dalit writer plays an important role in Tamil Dalit literature and the impact that her works create evokes many suppressed Dalits. Karukku, an autobiographical work of Bama depicts the Self - reflection and the persecution that she experiences. Portrayal of Self - reflection by Bama and the way she expresses it creates a revolution among Dalits. Expression of one's self is not an easy task. Bama just gathers up her courage and she narrates all her sufferings and pains through her work Karukku.

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 Keywords

Autobiography, Self - Reflection, Persecution, Sufferings, Dalit, Upper caste, Karukku

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Cardiac arrests are critical medical events that constitute a major cause of death in many industrialized countries. Timely and appropriate detection and treatment are essential for the survival of an individual suffering from a cardiac arrest. Recent advances in the field of artificial intelligence and machine learning techniques have enabled the development of effective early detection models of cardiac arrests. Machine learning algorithms use data-driven modeling approaches to capture and analyze patterns in both clinical data and in streams of physiological signals. These systems are capable of extracting important features and subtle changes in patient physiology that may not have been captured using traditional monitoring methods. This review presents an overview of the various machine learning approaches proposed for the early detection of cardiac arrests, their strengths and weaknesses, and how these approaches relate to existing standards of care. It also provides perspectives for future research directions and provides insights into the potential of machine learning technology for improving patient outcomes

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cardiac arrest, deep learning, medical, death, treatment, artificial intelligence

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This article focused on the significance of the Manilkara zapota L. (sapota) fruit and its nutritional content, therapeutic benefits, and application in the food sector. Since fruits are abundant in vital micronutrients, useful substances, and free radical-scavenging antioxidants, and their preventive properties can be very helpful for preserving public health. More than 40 scientific publications with the keywords "Sapota - overview, geographical extent, nutritional profile, ethnomedicinal values, and uses in the food industry" were taken into consideration for this review from a number of databases between 2011-2022. The most well-known and frequently grown fruit from the Sapotaceae family is the Manilkara zapota, sometimes referred to as sapota. Sapota has a wide range of bioactive substances in addition to being a rich source of nutrients (sugars, protein, and amino acids), minerals (calcium, iron, and potassium), and vitamins (vitamin A, vitamin C, folate, and pantothenic acid). They have a variety of pharmaceutical properties like antimicrobial, anti-inflammatory, antipyretic, antiviral, antidiarrheal, antihyperglycemic, antiparasitic, antibiotics, anticancer, antitumor, and hypercholesteraemic properties. Sapota fruits have a limited time in storage. Therefore, sapota fruit is typically processed into a variety of culinary items, such as squash, jellies, jam, osmo-dehydrated slices, nectar, chutney, pickles, and blended sapota beverages, to deal with its perishability. The future scientific research on this fruit will undoubtedly rely heavily on this review work.

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Manilkara zapota L., Nutrient content, Pharmaceutical properties, Culinary items

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Abstract The study examines the effect of government capital expenditure on economic growth in Nigeria. The research used a combination of quantitative analysis and empirical investigation to assess the impacts of government capital expenditure on key economic indicators: Gross Domestic Product (GDP), Employment, and productivity. Various macroeconomic variables like government expenditure, Investments, and infrastructure were considered. They were analyzed using Ordinary Least Square (OLS) estimation technique with the aid of E-View version 9. Descriptive Statistics, Unit root, and regression were evaluated to provide relevant answers to the research questions. The Study findings revealed a positive relationship between government capital expenditure and economic growth in Nigeria. The research recommended that increased investments in infrastructure: Roads, Transportation systems, Power Plants, and Educational facilities will have a significant effect in enhancing productivity, attracting private investment, and improving overall economic performance.

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KEYWORDS: Government Expenditure, Economic Growth, Investment, Infrastructure.

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The rights of victims of violent crime within the criminal justice system have gained increasing recognition and importance in recent years. This research paper explores the rights afforded to victims of violent crime, examining their historical development, legal frameworks, and practical implementation. By analyzing various jurisdictions and international standards, this paper seeks to highlight the progress made in victim rights and identify areas where further improvements are needed. Additionally, it explores the potential benefits of prioritizing victims' rights, such as enhancing victim participation, promoting fairness, and ultimately strengthening the criminal justice system as a whole.

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 Keywords

Rights of victims, Victims of violent crime, Criminal justice system, Victim rights legislation, Restitution, Compensation, Support for victims, Confidentiality.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Future of E-commerce in India - 2023

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Future of E-commerce in India - 2023

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Glaucoma is a visual disorder characterized by damage to the optic nerve which results in a narrowing of the field of view and can lead to blindness. The main cause of glaucoma is eyeball fluid or commonly called aquos humor which functions to provide nutrition to the inner eye organs, the cycle of producing and secreting this fluid is unbalanced, therefore resulting in increased pressure in the eyeball, which causes the eye nerves to become damaged. Glaucoma is the second leading cause of blindness in the world after cataracts. However, glaucoma is different from cataract because glaucoma causes permanent blindness. In 2020 glaucoma affected 79.6 million people. Therefore, early detection of glaucoma can reduce the severity of the patient. At this time, the main and popular way to diagnose glaucoma is by measuring cup-to-disc ratio (CDR) on digital fundus images. In the cup to disc ratio (CDR) measurements are made to see the Optical Disk (OD) and Optical Cup (OC). However, the detection of digital fundus images for the measurement method cup-to-disc ratio (CDR) until now has been done manually, it takes a lot of time and each expert has differences in the parameters to make measurement accuracy. Because of this, the need to perform automatic digital fundus image examination is urgently needed. One of the deep learning methods that has the best expertise in terms of classifying objects in images, namely methods CNN using Deep Learning. However, In this study, the various reviews of glaucoma classification was carried out using the Deep Learning model Convolutional Neural Network and reveals that CNN is a effective and appropriate model to classify glaucoma

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 Keywords

Glaucoma Detection, Deep Learning, Artificial Neural Networks, Convolutional Neural Networks

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 Abstract

Sports Medicine involves not only traditional treatment , it is also a guide and reflection on the state of play according to sporting rules and breaches of them. Injuries that results from athletics predominantly involve the musculo - skeletal system. Sprains , strains , contusion of joints and muscle, and fractures and dislocations of bones and joints make up the bulk of these injuries . Head , face , neck injuries and internal injuries of thorax and abdomen statistically play a minor role , but they can be quite serious and even fatal . Abrasions and lacerations of the skin and bruises of the subcutaneous tissue are so common place that they represent red and then black and blue status badges of body contact. These injuries present no great difficulty in treatment unless they become infected. The physical- education personnel can make a major contribution to the welfare of the athlete in the area of rehabilitation. The quality of rehabilitation programme determines what level of athletics participation will be possible in the future and also influences the frequency of injury.

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Sports Injuryes, Wrestling, Rehabilitation and Prevention

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This paper gives the idea to develop the Hybrid charging for three port converter (TPC) power flow control is implemented with Photovoltaic (PV) charging and storage system. In order to optimize the battery charging performance, three charging strategies, including: the Sun domain (SD), battery charging domain (BCD) and battery discharging domain (BDD) are adopted. Traditionally, in order to realize these charging strategies, the PV charger should abandon the Maximum Power Point Tracking (MPPT) function to maintain the power flow balance and the output power of the PV array will be decreased. Therefore, TPC power flow control strategies are proposed to achieve the maximum PV power utilization as well as to realize the hybrid charging methods. In addition, with the proposed strategies, the TPC charging/discharging capability of the battery is able to achieve the maximum PV power utilization. All the strategies can be realized by the control unit without adding additional circuit, component and communication mechanism. Simulation model shows the performance and feasibility of the proposed strategies.

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Three Port Converter, MPPT Algorithm, SVPWM and THD.

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This paper aims to explore the role of technology in expediting and enhancing the criminal justice system. The criminal justice system plays a crucial role in maintaining law and order, ensuring public safety, and administering justice. However, the system often faces challenges related to efficiency, delays, and resource constraints. This paper investigates the potential of technology to address these issues and improve the overall effectiveness of the criminal justice process. Through an in-depth analysis of existing technological advancements and their application in various stages of the criminal justice system, this paper identifies key opportunities, benefits, and challenges associated with technology adoption. Moreover, it examines ethical considerations and potential risks to ensure responsible implementation. Ultimately, this research paper aims to provide insights and recommendations for policymakers, practitioners, and technologists to harness technology's potential for accelerating the criminal justice system.

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 Keywords

Technology, Criminal justice system, Acceleration, Comprehensive analysis, Innovation, Efficiency, Data analytics, Case management, Evidence management

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