Volume 12 | Issue 5 |

 Abstract

This research paper delves into the living conditions and overall welfare of stray dogs in the Delhi National Capital Region (NCR) and endeavours to comprehend their existing situations with the objective of proposing viable measures for improvements. The study employs a quantitative research method, with data collection carried out through the dissemination of a survey questionnaire among various localities. The analysis of the quantitative survey data yields a worrying reality, indicating that most regions within Delhi NCR exhibit insufficient living conditions for stray dogs. The revealed outcomes underscore the imperative need for immediate intervention to address the welfare challenges faced by these animals. The findings serve to shine a spotlight on the urgency of implementing measures that can improve the living conditions and overall well-being of stray dogs in Delhi NCR. As a result, this study makes a valuable contribution to the expanding body of knowledge on animal welfare, particularly shedding light on the plight of stray dogs in urban settings, and advocates for effective policies and actions to tackle the obstacles confronted by these animals across different regions. This research work is significant in its implications for policymaking and intervention strategies aimed at alleviating the welfare issues faced by stray dogs in urban environments. The findings call for the development and implementation of comprehensive measures such as targeted vaccination programs, widespread sterilization campaigns, robust adoption drives, and intensified public awareness initiatives to address the challenges faced by stray dogs in Delhi NCR and beyond. Furthermore, this study stresses the importance of collaborative efforts involving municipal authorities, animal welfare organizations, and the community to ensure the successful implementation of these proposed measures. In conclusion, this research paper fills a crucial gap by shedding light on the inadequate living conditions and pressing welfare challenges encountered by stray dogs in Delhi NCR. It advocates for the formulation and execution of proactive measures to protect and improve the well-being of these animals. The insights garnered from this study have the potential to inform and guide the development of effective policies and actions aimed at enhancing the living conditions and welfare of stray dogs not only within Delhi NCR but also in other urban regions facing similar challenges.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Delhi NCR, Improvement, Stray Dogs, Welfare

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The BRIC concept, first termed by Jim O'Neill in 2001, initially included Brazil, Russia, India, and China, later expanded to BRICS with the addition of South Africa in 2010. After 2023 this block is progressed to BRICS Plus. This article investigates the BRICS presence as a global economic power, their collective de-dollarization efforts, and their impact on the global economy. This study utilizes a comprehensive analysis of theoretical aspects, statistical data, and empirical studies available from the past. The initiatives by the BRICS nations like, the New Development Bank, currency reserve pool, de-dollarization efforts on international trade among the members signify BRICS' rise as key actors in reshaping world economic governance. Despite internal gaps, BRICS nations are progressively collaborating in the issues of economy, global governance, and international diplomacy. The article emphasizes BRICS' potential to challenge traditional global economic foundations and offers visions into policy reforms that advance economic growth and regional integration. Moreover, the narrative of BRICS as a choice to the G7, with prospects of establishing its own exchange and norms, highlights its importance in current global geopolitics. The study also reviews BRICS' attempts towards de-dollarization, evident in commitments to promote local currency finance, and initiatives for starting an international reserve currency. Through the analysis of trends in GDP growth, foreign exchange markets, and de-dollarization strategies, this article highlights BRICS' fundamental role in shaping the changing global economic order.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Brazil Russia India China South Africa (BRICS), gross domestic product, de-dollarization, foreign exchange

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Background: Watersoluble vitamin B12, also known as cobalamin CBL, is necessary for the formation of hematopoietic cells, which include red blood cells, white blood cells, and platelets. It has a role in the synthesis of the myelin sheath and DNA. Megaloblastic anemia, characterized by defective cell division leading to macrocytic anemia with other characteristics, can be caused by deficiencies in vitamin B12 and/or folate. A less common exordium of severe vitamin B12 deficiency is pancreatopenia. Neuropsychiatric symptoms might also result from a vitamin B12 shortage. Ascertaining the underlying reason is crucial to management, not only to rectify the deficiency but also because it may affect the necessity of further tests, the length of therapy,and the mode of administration. Methods: Four patients with megaloblastic anemia (MA) associated with pancytopenia are shown here. Every patient with a diagnosis of MA had their clinic-hematological and etiological profiles examined. Results : Megaloblastic anemia and pancytopenia were found in every case. A vitamin B12 deficiency was found in every single case. There was no relationship found between the degree of anemia and vitamin deficiencies. In one case of MA, subclinical neuropathy was observed, but none of the cases had overt clinical neuropathy. In two cases, pernicious anemia was the cause of the vitamin B12 shortage, while in the other cases, poor food intake was the cause. Conclusion: This case study emphasizes the role of vitamin B12 deficiency as a leading cause of pancytopenia among adults.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Aging;vitaminB12;megaloblasticanemia; pancytopenia

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The next era of communication is IoT. The emergence and rapid growth of Internet of Things (IoT) focus on automating different task and trying to empower the physical objects to act without human interaction. The existing and upcoming IoT applications are highly promising to increase the level of comfort, efficiency, and automation for the users.IoT devices and application increase operational efficiency by enabling centralized monitoring and management of manufacturing equipment, critical infrastructure, or remote sites. However, IoT based systems and applications are vulnerable to various security threats and attacks which leads to other cyber security threats. Moreover, due to the lack of standardization due to heterogeneity of devices and technologies implementing security in IoT is real challenge. In this paper, detailed review of sources of threats in IoT and challenges in IoT and their solutions are presented.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT, IoT security, Threats, Security Solutions

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study has been undertaken to investigate the potential impact of the work-from-home model on the physical health of new entrant employees in corporate settings. With the increasing prevalence of remote work arrangements, understanding their effects on employee well-being is crucial. Utilising a quantitative approach, the study has examined various factors including ergonomic setup, work-life balance, commute patterns, nicotine consumption, and physical activity levels. Data is collected through surveys to assess the physical health outcomes of new entrant employees. The findings of this study suggest that Newer professionals, with 1-3 years of experience, face more challenges, including ergonomic issues, unhealthy habits, and disrupted sleep patterns. This leads to increased junk food consumption, weight gain, nicotine urges, and sleep difficulties. Seasoned professionals, with 5-10 years and over 10 years of experience, adapt better, showing improved physical fitness and fewer health issues. Both groups recognize the need for targeted interventions to manage ergonomic setups, maintain physical health, and optimize productivity while working remotely.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Work from Home, Remote work, New entrant employees, Corporate employees, Physical health, Ergonomics issues

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project report explores the development of a contactless EV charging system in static mode. The system aims to provide a convenient and efficient way to charge electric vehicles without the need for physical connections. The report discusses the design and implementation of the system, including the use of wireless charging technology and smart grid integration. The project also evaluates the performance and reliability of the contactless EV charging system in static mode. Overall, this report provides valuable insights into the potential benefits and challenges of contactless EV charging technology for future transportation infrastructure.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

EV charging ,Static , batteries

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Potato plant disease classification using convolutional neural networks (CNN) is an important application of deep learning in agriculture. Potatoes are a staple food worldwide and diseases can seriously affect their yield and quality. With CNN, we can automate the process of disease detection and diagnosis and help farmers act quickly to avoid crop failures.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ML, CNN, Agriculture, Diseases

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The optimization of power management and extension of battery life have become critical in the advancement of wireless technologies. Accurate profiling and characterization of lithium-ion batteries are essential for optimizing battery performance, enhancing user experience, and improving overall device efficiency. Traditional methods for battery profiling, which often rely on manual processes, struggle to manage the complexity of data associated with battery parameters and device performance metrics. In contrast, machine learning (ML) models offer a robust solution by excelling at handling complex data and uncovering hidden insights. This paper introduces a novel approach that leverages the Random Forest algorithm, an ensemble learning method known for its robustness in handling both classification and regression tasks. By combining multiple decision trees trained on diverse data subsets, the Random Forest method provides enhanced predictive performance and reduces the risk of overfitting. This approach enables more accurate predictions of battery health, under various conditions. Implementing machine learning in battery profiling not only improves the accuracy of power management systems but also facilitates the development of smarter charging protocols tailored to user habits. This results in extended battery life, reduced frequency of charging, and overall better user satisfaction. Furthermore, this method has broader implications for the industry, contributing to more sustainable technology practices by reducing electronic waste through prolonged device lifespans.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SoH, Random Forest, Arduino WeMOS D1 Wi-Fi UNO

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study focuses on the detection of Acute Lymphoblastic Leukemia (ALL) using an improved YOLOv5 model. Leukemia, a common form of blood cancer, disrupts normal blood cell production, emphasizing the need for accurate detection methods for early diagnosis and treatment. The study explores the use of deep learning techniques, specifically YOLOv5, for classifying leukemia and healthy cells from microscopic blood cell images. Data augmentation techniques were employed to enhance the dataset, and the model's performance was compared with traditional classifiers. Results show that the YOLOv5 model enhanced with SENet achieved the highest accuracy of 90% in classifying leukemia cells. The study highlights the potential of deep learning in improving leukemia diagnosis and treatment outcomes.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Acute Lymphoblastic Leukemia, YOLOv5, Deep Learning, Data Augmentation, Microscopic Blood Cell Images, SENet, Classification, Diagnosis, Treatment, Accuracy

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Palmoplantar psoriasis (PP) is a type of psoriasis that develops on the palms and soles; however, the disease can be associated with many different morphologic patterns, including predominantly pustular lesions to thick scaly, hyperkeratotic plaques, or an overlapping of both of them. Psoriasis is an inflammatory, proliferative, chronic skin disease in which there are scaly papules and plaques that can involve any part of the body. Studies reveal that 2-3% of people have psoriasis, and 3-4% of those with psoriasis also have palmoplantar psoriasis. You can get palmoplantar psoriasis at any age. Human leukocyte antigen (HLA) Cw6 is the most often found genetic component linked to palmoplantar psoriasis. On the palms and soles, psoriasis can manifest as pustulosis, less well-defined plaques that resemble hyperkeratotic eczema, or typical scaly areas that can be scratched to reveal a fine silvery scale. It is crucial to distinguish palmoplantar psoriasis from other morphologically similar disorders such as hyperkeratotic eczema, dermatophytosis, and contact dermatitis, as the former may go undiagnosed. Usually unilateral, dermatophytosis is amenable to antifungal therapy. Psoriasis and hyperkeratotic eczema can occasionally be difficult to differentiate from one another. Underreported is the prevalence of palmoplantar psoriasis. In actuality, it is leading the race. Additional research is necessary to confirm the evolving situation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Palmoplantar psoriasis, Hyperkeratoic plaques, Human leukocyte antigen, Pustular lesions

  License

Creative Commons Attribution 4.0 and The Open Definition