Journal for ReAttach Therapy and Developmental Diversities (JRTDD)
Not a member yet
2765 research outputs found
Sort by
Development And Psychological For Digital Transformation In The Service Industry And Its Impact On Information Technology Management
No full textThis study delves into the connections among latent variables: Information Indicator, Digital Literacy, Groups of Digital Systems, and Digital Infrastructure, and their influence on the dependent variable, "Digital Technology." To scrutinize the strength and direction of these associations, we employed a structural equation model, employing standardized regression coefficients (βi). We also examined intercepts (bi) to ascertain the expected value of "Digital Technology" when all independent latent variables are set to zero. The findings indicate that a one-standard-deviation increase in the Information Indicator corresponds to a 0.59 standard deviation increase in "Digital Technology." Similar interpretations apply to the other latent variables. The presence of Digital Literacy, effective Grouping of Digital Systems, and robust Digital Infrastructure have a positive impact on the adoption and implementation of digital technology in the service industry.
Additionally, we assessed the goodness-of-fit statistics of the model. The relative chi-square (χ²) value of 0.621 suggests that approximately 62.10% of the variance in "Digital Technology" can be accounted for by the combination of the latent variables. This R-squared value indicates a moderate to strong effect size, underscoring the substantial contribution of these latent variables to explaining "Digital Technology" adoption. However, the p-value for model fit stands at 0.733, which is relatively high, implying that the model\u27s fit may not reach statistical significance at the commonly used significance level (α = 0.05). Nonetheless, it\u27s essential to note that the p-value alone should not be the sole determinant of the model\u27s validity. A comprehensive evaluation necessitates a thorough examination of other goodness-of-fit metrics
4R Technique (Reduce, Reuse, Recycle, And Recover) As A Preventive Measure Towards Waste Minimization In The Garment Industry
No full textThe purpose of this research is to study the waste minimization practices in the garment sector and evaluate the efficiency of the 4R concept approaches (Reduce, Reuse, Recycle, and Recovery) in reducing waste. A quantitative research technique was used, with a questionnaire prepared based on a study of the literature and random systematic sampling. The study targeted the population of garment industry companies in the Rajasthan area, with a sample of four types of garment projects from a class A company: high-rise garment manufacturing projects, garment manufacturing plant projects, clothing company projects, and garment complex housing projects.Data analysis was performed using SPSS (Statistical Package for the Social Sciences), which included a reliability test to examine the instrument reliability of the questionnaire. The study assessed the instrument\u27s dependability and investigated the link between the 4R concept procedures and waste generated on industries. In addition, the study looked at how the 4R concept methodologies were used differently in the clothing business.According to the data, waste reduction was the most widely used 4R concept practice in the local clothing sector. The survey also discovered that trash recovery was not widely done due to a lack of responder engagement. Furthermore, no significant connections were found between waste reduction, reuse, and recycling approaches and on-site trash.The study sheds light on waste management techniques in the garment sector and emphasizes the need of developing efficient waste reduction measures. The study adds to current information by identifying the most often used 4R concept approach and evaluating its efficacy in waste reduction. The findings can help the industry build long-term waste management plans and promote a greener, more environmentally conscious apparel industry
A Study To Assess Initial Difficulties Encountered While Initiating Or Conducting Collaborative Research
No full textResearch has always been imperative to academics and scientific progress. Researchers document their rigorous work and circumstantial findings as a means to reach a wider and more substantial audience. There are various issues faced by researchers and young scholars, and research collaboration turns out to be one major concern when it comes to acclimatising multidisciplinary research and reaching out to domains different from their own. This approach of collaborating with fellow researchers from different disciplines has many upsides such as - visibility amongst peers, networking and access to resources. This study has worked around using qualitative and quantitative research methods, utilising surveys and interviews to gather and collate data from scholars and researchers who have either established themselves in the virtue of or are stepping into Academic research, keeping an interdisciplinary approach in mind. Some initial themes that manifested after analysing the data produced were communication barriers, time management constraints, divergent research objectives, and challenges faced during hierarchical dynamics within collaborative teams. The purpose of this study was to
address the issues faced by researchers and find conclusive or potential solutions that can help mitigate more effective and productive research collaboration within any system or organization. The insights that emerged from this study led us into the depth of complexities that are present in collaborative research and steered us in the direction of providing a system or a platform that can act as a valuable aid in fostering successful collaboration amongst researchers
A Novel Approach for Deep Learning Models Based on Web Applications With The Effective Use of Proposed Virtual Assistant
No full textHuman being expresses himself in terms of gestures that could be hand gestures, facial expression, or text grammar. The emotion recognition system is the Human- Computer in- teraction medium the way a computer program can understand the human feelings.This study recognizes the facial expression of the person by feature detection algorithm. The proposed method uses Deep learning models of Python library that is functions of Deep analyze library to classify the facial expression into namely seven categories: Happy, Sad, Angry, Disgust, Neutral, Fear and Surprise. The purpose of this study is to identify the patterns of emotion changes from the images throughout the video capturing and create a dashboard and analyze the actual trend in the emotion change. The system tends to then understand the emotion via. Chat with the person and then give a result based on the summation of both the trends
Integration Of Smart Techniques For Achieving Energy Efficiency At Campuses
No full textThe integration of design techniques and technology in creating smart campuses has gained traction due to its potential to improve services, decision-making, and sustainability. As commercial buildings strive for net-zero energy to reduce reliance on fossil fuels, the Internet of Things (IoT) has emerged as a popular technology in various sectors, including logistics, transportation, healthcare, connected cars, and smart cities within educational institutions. A literature review on smart buildings and campuses analysed energy consumption and efficiency, focusing on 2015–2022 studies. The review identifies smart campus technology, its contribution, and energy efficiency measures. Despite its Need, there exists a knowledge gap in effectively applying IoT in the built environment to achieve energy efficiency. To address the gap, this study presents a systematic review of IoT concepts, models, applications, trends, and challenges within the built environment. The review reveals limitations in developing effective IoT strategies and highlights indefinite implementation constraints. Understanding these challenges is crucial for the successful integration of IoT technologies and smart campus initiatives, contributing to the development of net-zero campuses in the future. 
Formulation And Evaluation Of Diosgenin Gel For Its In Vivo Anti-Skin Cancer Activity
No full textCancer remains a significant global health burden, spurring relentless efforts in pharmaceutical research to discover effective therapeutic interventions. In this pursuit, natural compounds have garnered considerable attention for their potential anti-cancer properties. Diosgenin, a steroidal sapogenin found in various plant sources, has emerged as a promising candidate due to its diverse pharmacological activities, including anti-inflammatory, anti-diabetic, and notably, anti-cancer effects. Despite Diosgenin\u27s potential, its clinical translation faces challenges related to poor aqueous solubility, low bioavailability, and rapid metabolism. To address these limitations and harness the full therapeutic potential of Diosgenin against cancer, advanced drug delivery systems are being explored. Microspheres, tiny spherical particles ranging from a few micrometers to millimeters in size, provide a versatile platform for drug encapsulation. By encapsulating Diosgenin within microspheres, a controlled release profile can be achieved, ensuring sustained exposure to therapeutic levels. This study aims to formulate and evaluate a Diosgenin-loaded microsphere gel for its in vivo anti-cancer activity. Through meticulous formulation design and comprehensive evaluation, we seek to elucidate the therapeutic potential of this novel delivery system in combating cancer. By bridging the gap between Diosgenin\u27s bioactivity and its clinical application, we aspire to contribute to the advancement of cancer therapeutics and improve patient outcomes
Decoding Mass Media Bias: An In-depth Examination of Content Actor Representation and Partisanship in Indian Newspapers
No full textThe research paper examines in detail the complex terrain of media bias in Indian journalism. The study focuses on comprehending the degree of bias in the portrayal of content actors—individuals, organizations, or groups—and the role of partisanship in this representation in an era where mass media, especially newspapers considerably affect public opinion. Taking into account India\u27s multifaceted and intricate geopolitical landscape, the study utilises a methodical approach to examine a wide range of Indian newspapers.
This research paper investigates the topic of mass media bias in the context of Indian newspapers using the Content Analysis approach in a thorough manner. The research findings contribute to a more sophisticated understanding of mass media bias in the Indian context where Commoners have been largely covered throughout the research findings, biases for multiple content actors\u27 portrayal, the degree of political impact, moral implications of media coverage, the ethics of journalism, and the influence of skewed information regarding content actors on public opinion have been discussed with respect to India
Reconstructing Home In Ethno-Religious Conflict Of Diaspora: A Study Of Nadeem Aslam’s Maps For Lost Lovers
No full textMigration leaves certain consequences, like the coalition between the homeland tradition and the social structure of the hostland where migrants try to maintain their homely associations in the newly settled place, which is dynamic with time and generations. The formation of diaspora community, thus, in some point shows the adaptability of the migrants in the new land. Even journeying to some other place provides a space to the individual where one can have a choice of the way of living which is somewhat indiscernible in a religiously rigid society. Religion in this process becomes an intricate part of the migrants especially for people of South-Asian Muslim descent. As religious beliefs and practices form an essential link between migrant and his place of origin and acts as the backbone of the community, integration is often perceived as a process of conversion or to negotiate with one’s own cultural values. The present study tries to explore the conflict of religious belief system and the concept of home for migrants with reference to the novel written by Nadeem Aslam, Maps for Lost Lovers. Aslam’s novel dramatizes ethno-religious conflict of Pakistani migrant community living in England. The tight knot of the community creates a boundary between the host and home culture where each and every extraneous element is either equated to strangeness or the alien. Even home signifies a different concept for each individual in the text. While some characters presented in this novel are very conscious about their home, culture and religious practices, some are trying to cross the religious orthodox belief system
Understanding Relationship Between Carbon Emissions And Internet Penetration In Order To Promote Environment Sustainability.
No full textIn today’s growing world, everyone wants to retain their competitive edge. With changing consumer requirements there is need to take steps that are focussed on more productivity. But there are repercussions to this. This huge amount of data generated and exchanged on internet has resulted in digital pollution. The aim of this work is to understand consequences of digital pollution. This work used both exploratory and primary survey in order to gain awareness about digital footprint impact on environment. This study will focus on combating digital pollution since it is also major contributor towards global climate change. This is done by forming different hypothesis and application of different statistical methods
Assessment Of Vulnerability To Climate Variability In Manipur, India
No full textSocio-economic status of the people is determinant of their vulnerability to climate change. Due to the agrarian economy of the state of Manipur, India; it is important to determine how climate variability affects people\u27s capacity to support themselves. The only way to formulate a successful adaption strategy is to prioritize and identify the weaker areas and sectors. The current study assesses the vulnerability of the districts in Manipur in view of the current climate variability. A number of indicators are used as proxy for the vulnerability assessment. Based on secondary data, each district\u27s vulnerability index (VI) is determined, and the districts are then ranked as per the obtained indices. With a large proportion of BPL households, an agriculturally dependent population, and the highest VI, Thoubal district is ranked as the most vulnerable district in Manipur based on this study. The assessment also identifies the indicators that drives the vulnerability and the importance of prioritizing them when formulating policies and strategies for coping with climate variabilit