Volume 11 | Issue 6 |

 Abstract

ABSTRACT Musculoskeletal disorders (MSDs) are injuries that affect the musculoskeletal system of the human body. The purpose of this review was to review the literature on musculoskeletal disorders and analyze the results of autogenic inhibition techniques in various musculoskeletal disorders from published articles. Online search engines such as Pub Med, Google Scholar, Science Direct, and PEDro were searched. There were no restrictions on the data applied to review articles. Thirty-four papers were selected for the term autogenic inhibition technique used. Data were tabulated by study type, number of study participants, disease treated, treatment administered, outcome measure, and outcome. This literature review resulted in mixed responses to the results of autogenic inhibition techniques. These contrasting results demonstrate the need for future research. This will help researchers to conduct randomized controlled trials (RCTs) of autonomic suppression and further develop protocols to improve the need for better interpretation and evidence-based information.

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 Keywords

Key words: Musculoskeletal Disorders (MSD), Autogenic Inhibition (AI), Reciprocal Inhibition (RI), Muscle Energy Techniques (MET)

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Abstract: Biological variations exist among human individuals as well as among groups of individuals at various levels. The existence of genetic variations in populations leads to evolution because there is natural selection favouring organisms that are best adapted to the environment. The present investigation was planned on Meos and Sunni Muslims of Haryana because instances of close inbreeding were observed among them. Individuals were studied for Colour-blindness trait by using Ishihara chart (1960). Five colour blind individuals were encountered during the study. No colour blind female was observed in both the endogamous groups. Chi-square values of homogeneity with respect to intercaste differences between Meos and Sunni Muslims were found to be non-significant.

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 Keywords

Keywords: Variations, Colour-blindness, Ishihara chart, Haryana.

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The diagnosis of autoimmune diseases faces various obstacles at present. The diverse nature of autoimmune disorders and the overlap of symptoms create difficulties in identifying a specific condition. Furthermore, the absence of distinct biomarkers that are unique to each disease adds complexity to the diagnostic procedure, resulting in delays and potential misclassification. While considering the diagnosis challenge, Polymerase chain reaction (PCR)-based methods have emerged as powerful tools in the diagnosis and monitoring of autoimmune diseases. This review aims to outline the recent advancements in PCR-based techniques and their applications in autoimmune disease diagnosis and monitoring. By leveraging PCR, researchers and clinicians have made substantial progress in improving the understanding, early detection, and differentiation of autoimmune disorders, thereby enhancing patient care and outcomes. PCR-based approaches have revolutionized the diagnosis and monitoring of autoimmune diseases, providing valuable insights into disease pathogenesis, patient stratification, and treatment efficacy. Continued advancements in PCR technologies hold great promise for improving the accuracy, efficiency, and accessibility of autoimmune disease diagnostics, ultimately leading to personalized and targeted therapeutic interventions.

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 Keywords

Autoimmune diseases, Polymorphism, Molecular diagnosis, PCR, Biomarkers

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This paper analyzes the A.C.T.I.V.E. Matrix, a community-led product management system. The A.C.T.I.V.E. Matrix emphasizes Aligning Goals, Co-creation, Transparent Communication, Inclusive Collaboration, Value-driven Decision Making, and Empowering Ownership. A comprehensive literature study shows that standard product management strategies typically overlook user communities' value. The A.C.T.I.V.E. Matrix is a paradigm change in community insights, co-creation, and inclusive collaboration. The paper uses a rigorous literature assessment and thematic analysis of existing research on the A.C.T.I.V.E. Matrix and similar frameworks. The Matrix may alter interaction and co-creation, promote diversity and inclusivity, and align with community needs, as discussed. However, issues including product and consumer segment applicability and organizational culture change are highlighted. The A.C.T.I.V.E. Matrix helps organizations exploit user communities despite these challenges. It makes product management more engaging, value-driven, and inclusive, resulting in products that truly resonate with users.

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 Keywords

A.C.T.I.V.E. Matrix, Community-led Product Management, Co-creation, Transparent Communication, Inclusive Collaboration, Value-driven Decision Making, Empowering Ownership, User Communities, Product Development, Transformative Engagement, User-Centric Approach, Digital Age, Innovation, Organizational Culture

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In reality, RISC processors and Digital signal processors (DSP) are used to construct the majority of embedded devices, and MAC (multiplications and/or accumulator) units are crucial here. During the multiplication and addition processes, the executions in MAC units frequently include a variety of crucial actions. Different adders and multipliers are required for constructing more effective MAC units, whereas approximation adders are typically developed based on their individual needs. In contrast to prior simple accurate adders, the innovative approximate adder proposed in this study delivers great speed and requires minimal complexity. The proposed adder's efficiency breakthrough paves the possibility for its incorporation into real-time IOT (Internet of Things) processors. This newly developed error-tolerant, highly accurate approximate adder was created to get over the implementation issues that parallel prefix adders have. In this situation, computing with fewer calculation nodes, maximum depth, and higher latency can be used to overcome the complexity of executions. The suggested approximation adder is synthesised and simulated in Xilinx Vivado22.2 using Verilog code.

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Keywords: Image processing, MAC unit, and approximate adders.

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India's rich variety of cultures, traditions, and customs, are reflected in the diverse regional and community-based lifestyles of its citizens. However, Due to the resulting diversity, creating equal laws that apply to all citizens equally is challenging for the Indian government since some people are privileged while others are underprivileged. To address this issue and promote fairness, Article 14 of the Constitution of India establishes the "Doctrine of Reasonable Classification." In this article, we will discuss the Doctrine of Reasonable Classification and its validity under the Indian Political System.

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Equality and Equity, Fundamental Rights, Social Justice, State Policy, Object Classification

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This research paper aims to study the level of awareness among pre-service teachers regarding millets. A survey was conducted among pre-service teachers to gather data on their understanding of basic concept, and practices towards millets, awareness about inclusion of content related to Millets in Social Science Geography text books, and opinion about methods of creating awareness regarding millets. The findings shows that pre-service teachers are aware about basic concept, nutritional benefits of the millets. The frequency of millets consumption is satisfactory, level of awareness among pre service teachers is low regarding inclusion of content related to millets in Geography text books.

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Millets, Pre Service Teachers, Awareness

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Aviation Industry is becoming technologically advanced and Industry in the world and with the increasing demand of air travel the industry has to ensure the efficient and effective operations. The purpose of this report is to highlight the new innovations in aviation industry i.e. the use of Artificial Intelligence and Machine learning to enhance safety, efficiency and customer experience. Aim of this thesis is to provide a comprehensive review of the application of Artificial Intelligence (AI) and Machine Learning (ML) in aviation Industry. The coming future will most probably be machine dominated, so in this thesis a hint of ML along with the AI will be provided in the study just to enhance the understanding perspective. Impacts of Machine learning in the aviation sector especially on the manufacturing section as machine learning deals with the learning process of the machine and mines the required data in order to ensure the work done in effective and efficient manner. Also, there is few issues with AI i.e., though it is being made and developed by human but the future demand of it is frightening the aviation professionals and the potential ones. The analysis on this matter will also be done.

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Artificial Intelligence, Machine Learning, technological advancement, Human-AI collaboration, aviation industry

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The agricultural sector in India has traditionally been male-dominated, with women primarily serving as companions and supportive figures to their male counterparts. This critical analysis explores the role of women in the Indian agricultural sector, examining their contributions, challenges, and potential for empowerment. The analysis begins by highlighting the historical and cultural factors that have shaped gender roles in Indian society and influenced women's involvement in agriculture. It discusses how women's labor has long been undervalued and undercounted, leading to a lack of recognition for their significant contributions to farming activities. Furthermore, this analysis examines the challenges faced by women in the agricultural sector, including limited access to land ownership, credit, and resources. Gender disparities in education, training, and technological advancements have also hindered women's ability to fully participate and benefit from agricultural activities. Despite these challenges, the analysis acknowledges the resilience and resourcefulness of women in agriculture. It explores initiatives and interventions aimed at empowering women in the sector, such as providing training programs, access to credit, and technological advancements tailored to their needs. These initiatives have the potential to enhance women's agency, improve their livelihoods, and contribute to sustainable development in rural areas. Moreover, the analysis critically assesses the social and economic implications of women's empowerment in agriculture. It discusses the potential for transforming gender norms, promoting women's rights, and fostering inclusive and equitable development. By challenging traditional gender roles and empowering women as active participants and decision-makers in the agricultural sector, India can unlock the untapped potential of women and harness their contributions for greater agricultural productivity and rural development. Thus, it can be said that, this critical analysis underscores the importance of recognizing and addressing the gender disparities in the Indian agricultural sector. By providing women with equal opportunities, resources, and support, India can leverage the transformative power of women's empowerment in agriculture, paving the way for a more inclusive and sustainable future for the sector and the nation as a whole.

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 Keywords

Women, Agriculture, India, Gender, Empowerment.

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 Abstract

Forgery and fraud in signature verification pose significant challenges in maintaining security and authenticity in various domains. It introduces a Signature Forgery Detection and Verification system that employs image processing, optical character recognition (OCR), and machine learning techniques to detect forged signatures and ensure their authenticity. The Signature Forgery Detection and Verification system enhances the security and accuracy of signature verification processes. By combining image processing, OCR, and machine learning techniques, it provides a comprehensive solution to identify potential forgery attempts and verify the authenticity of signatures. The system finds practical applications in various domains, contributing to fraud prevention and ensuring secure transactions.

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 Keywords

OCR, LineSweep, Tesseract, CNN, Pooling, Fully Connected

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Creative Commons Attribution 4.0 and The Open Definition