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Prognosis of kidney disease on ultrasound images using machine learning
Kidney diseases can affect the ability to clean the blood, filter extra water out of your blood. The kidneys failure will affect the control over blood pressure and sugar level. It can also affect red blood cell production and vitamin D metabolism which is very important for bone health. When your kidneys are damaged, waste products and fluid can build up in the body. This is harmful to the health. This damages the kidney function, can get worse over time, and when the kidneys stop working completely, this is called kidney failure or end-stage renal disease. Not all patients with kidney disease progress to kidney failure. This disease has emerged as one of the most prominent reasons of death and suffering in this century. Recent studies states that, kidney disease affects most of the population and over two million people require kidney replacement. To help prevent Chronic Kidney Diseases and lower the risk for kidney failure, control risk factors for CKD, get tested yearly, make lifestyle changes, take medicine as needed. The detection of kidney abnormalities at their early stages helps to avoid the impairment of newlinekidney. The US imaging is considered as preliminary diagnostic tool in finding various kidney diseases in the clinical imaging field. This is one of the commonly used imaging modalities due to the inexpensiveness and non-ionization nature. The presence of noise in US images, degrade newlinethe quality and clarity of the images. Also, the heterogeneous structure of kidney, makes it very difficult to detect and measure the size of stones and cysts. Hence, an automatic kidney disease detection system is highly in demand. The proposed model can assist the radiologist in accurate abnormality detection. The proposed model includes different phases such as, pre-processing, features extraction, classification and newlinesegmentation. The pre-processing phase include cropping and noise removal. Further, the GLCM and intensity-based features are extracted for the classification of abnormal kidney images.
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Prognosis of Kidney Disease on Ultrasound Images Using Machine Learning
Kidney diseases can affect the ability to clean the blood, filter extra water out of your blood. The kidneys failure will affect the control over blood pressure and sugar level. It can also affect red blood cell production and vitamin D metabolism which is very important for bone health. When your kidneys are damaged, waste products and fluid can build up in the body. This is harmful to the health. This damages the kidney function, can get worse over time, and when the kidneys stop working completely, this is called kidney failure or end-stage renal disease. Not all patients with kidney disease progress to kidney failure. This disease has emerged as one of the most prominent reasons of death and suffering in this century. Recent studies states that, kidney disease affects most of the population and over two million people require kidney replacement. To help prevent Chronic Kidney Diseases and lower the risk for kidney failure, control risk factors for CKD, get tested yearly, make lifestyle changes, take medicine as needed. The detection of kidney abnormalities at their early stages helps to avoid the impairment of newlinekidney. The US imaging is considered as preliminary diagnostic tool in finding various kidney diseases in the clinical imaging field. This is one of the commonly used imaging modalities due to the inexpensiveness and non-ionization nature. The presence of noise in US images, degrade newlinethe quality and clarity of the images. Also, the heterogeneous structure of kidney, makes it very difficult to detect and measure the size of stones and cysts. Hence, an automatic kidney disease detection system is highly in demand. The proposed model can assist the radiologist in accurate abnormality detection. The proposed model includes different phases such as, pre-processing, features extraction, classification and newlinesegmentation. The pre-processing phase include cropping and noise removal. Further, the GLCM and intensity-based features are extracted for the classification of abnormal kidney images. -
PROMOTION OF VIRTUAL TOURISM THROUGH GOOGLE ART PROJECTS
Virtual tourism is known to evoke experiences of moving through 3D space. It is also known that several virtual projects have been useful for various purposes. Google is a hub for several applications, projects and internet based features. One of them is the Google Art Project, established by Google in February, 2011. Although there has been research on several topics related to virtual tourism, there is still a gap when it comes to awareness created about Art Museums through Google, which has come about very recently. This study aims n o t o n l y at filling this gap but also understand the impact that this art project has created among its audiences. The research is an effort to understand how Google has promoted virtual tourism as well as art and if it has taken an effect into reality. This study will help recognize the dynamics and dimensions of the medium better. It is an attempt to understand if the project can transform the computer-arbitrated communication through Google Art Project. Another objective of the study is to find out people??s perception of the art pieces being as reliable as that, which is there in real time. The method employed to obtain findings is by means of survey, using questionnaire. The study establishes a relationship between those who are associated with art and paintings and those who are inspired to take a real-time tour. The findings of the survey have been interesting, where respondents preferred to take a real time tour after visiting the online version of the museum. -
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Psychological capital in positive ageing :
Positive ageing is feeling good and maintaining a positive attitude, keeping healthy and being fully involved in life. Older adults add value to family and society by sharing of wisdom, gratitude,spirituality, resilience, optimism, hope and confidence (PsyCap). These are the mental resources that developed through their life experiences when things went well and when faced with challenges. The aim was to understand the process of development of psychological capital in positive ageing. The participants were chosen purposively, older adults 70-80 years, men and women, retired, tenth standard, middle socio-economic status, spouses have expired and living with family. They were interviewed with a validated semi structured interview schedule. Themes were analyzed using Interpretative Phenomenological Analysis, substantiated by verbatim from participant interviews and connections with existing theories and literature. Three super ordinate themes emerged, Factors that promote the development of PsyCap varies , Personal trauma and inadequacies as learning opportunities and Spiritual and philosophical ways of adaptation . Results indicated that support from family and friends and their internal strength helped them face adversity and aided in the development of optimism, hope, gratitude, confidence and self-belief. Challenges, lack of adequate resources and retirement were opportunities for learning as they facilitated the growth of PsyCap. Participants were grateful for effectual social support in time of grief. Their resilient attitude kept them positive and helped to prioritize goals effectively. Religion and spirituality provided solace and meaning to their lives, reflection led to the evolving of a philosophy that left them feeling fulfilled as they reached out to those in need. The study has implications for promoting a positive and healthy attitude towards older adults and sensitising family, caregivers and policy makers. -
Psychological contract and oragnisational commitment in the aviation sector
Psychological contract and the organisational commitment in the Aviation sector is the topic chosen for the study. The researcher tries to map the effects of four types of psychological contracts viz: transactional, transitional, behavioural and balanced on the three components of organisational commitment namely Affective, Normative and continuance. The study tries to focus whether the type of company and work experience act as moderating variables in this exploration. The study also checks whether employers Psychological Contract has any medaiating effect in the relationship between employees Psychological newlineContract and Organisational Commitment. Researchers in the past have not considered the Airline sector as far as these two variables are concerned and hence the specific reference to this industry. The study throws light on what type of psychological contracts the airline companies need to foster to get the desired organisational commitment keeping in mind the tenure of the employee and the type of industry. The researcher gathered the employees of the airlines and explained the items in the questionnaire to them and later administered the same. The critical impact of the research is that and#8215;Relational contract obligations and and#8215;Balanced contract obligations are the most important predictors of the employees organisational commitment in the Indian aviation industry. Therefore, airline companies need to adapt measures to foster these contracts inorder to boost the desired commitment. -
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Psychological Profile of Suicide Survivors: Retrospection on Decisions of Suicide
The event of Suicide is one that has been studied and documented in several studies abroad and in India. But, to approach the event of Suicide from the perspective of the ??attempted or ??survivor is rare. The purpose of this research is to understand the meaning the act of suicide holds, emotions and thoughts, of the attempter, leading up to the suicidal decision and to trail them till the decision manifests into action. It would provide an in depth perspective of the experience of this event. The research attempts to find not only the meaning behind these events but to also put together a psychological profile by observing the common thoughts, emotions and meaning attributed to the attempt. The research will make use of the method of narratives, over a period of sessions, which would provide the life stories of the individual, as well as the event, in itself. The research is conducted on ten women participants in age range of 18 ?? 35 years. The participants are selected based on the criteria, specified. The research is qualitative in nature. Interpretative Phenomenological Analysis (IPA) will be used to analyze and interpret the data collected. Data analysis shows that the psychological profile, of a suicide survivor consists of cognitions that are predominantly, restrictive and negative in nature, experience of negative emotions especially that are related to the traumatic event and suicide as a meaning fulfilling action. The research would attempt to provide a profile which would not only help in understanding the meaning and life events of such an individual but would also help in training of mental health professionals. Keywords: Suicide, psychological profile, meaning of suicide, suicide decision, cognitions and suicide, emotions and suicide, understanding suicide, causative factors of suicide. -
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Psychosocial Well-Being of Adolescents : A Social Group Work Intervention
Social work practice with children and families is one of the most challenging, skilled and rewarding areas of social work practice. Social workers believe that safeguarding children and preventing them from significant harm is a rewarding and challenging way to make a difference in the life of a child, which involves the corporation, consultation and collaboration of many people working effectively together. As highlighted by the United Nations' data disaggregation against the goal of "no one left behind," the absence of data on adolescents needs research on the "second decade." Furthermore, because India has the world's largest adolescent population, studies and policies aimed at developing adolescents' competencies are critical to the country's development; interventions aimed at instilling confidence in underprivileged adolescents to strive for a better future are critical for mitigating inequity. Adolescents from disadvantaged families and whose parents are no longer able to provide adequate care to children are having various psychosocial problems, high risk of violence, exploitation, abuse and neglect and their psychosocial well-being is often insufficiently monitored. This intervention study adopted a quasi-interventional design to measure the effectiveness of social group work in raising the psychological well-being, self-esteem and coping orientation of adolescents in child sponsorship programs. Social group work intervention with 20 sessions was designed in response to the information garnered through the pilot study and administered to the intervention group (n=20). Conducted pre-test and post-test for both intervention group and control group (n=20) and two follow up tests in three months intervals for the intervention group (n=20) using 42 item version of Ryffs scale for psychological well-being, Rosenbergs 10 item self-esteem scale and 54 items A-COPE scale; and data analyzed using SPSS. Comparison between pre and post measurements carried out using paired sample t-test for the intervention group and control group separately, gave out a p value < 0.05 for the intervention group and, > 0. 05 for the control group. Thus, it was proved that the psychological well-being, self-esteem and coping orientation of participants in the intervention group were raised significantly due to the social group work intervention. Applying refined granularity, this research adds data specifically on adolescents enrolled in child sponsorship programs and sets a blueprint for social group work to raise their psychological well-being, self-esteem and coping orientation. Proposing a conceptual framework for child sponsorship programs, this study recommends the need for operational tie-ups, sustained youth support, training of trainers (ToT) for community animators, preparing individual care plans and training to school social workers and the need of starting walk-in counselling centres and mentoring services. Furthermore, this study suggests additional research in all aspects of its operation, as well as interventions at the group, family, and community levels, for the well-being and empowerment of marginalised adolescents. -
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PUBLIC DEBT AND ECONOMIC GROWTH IN INDIA
With the intention of stabilizing economy and to stimulate economic growth rate the modern day governments are presenting un balanced government budgets. This is increasing the growth of public debt. This deficit can be bridged by increasing the existing rates in taxes, imposing new taxes, and borrowing from public. The objectives of this study are 1) Analyzing the trends of public debt in India. 2) Analyzing the components of internal debt of India. 3) To find the threshold point of public debt to gross domestic product (GDP) ratio in India. 4) To investigate the connection among public debt and economic growth rate in India. Time period is 1981-2011-2012 and study used statistical tools and econometric techniques like percentage, R square, Adjusted R square, linear regression, and unit root test. Results show that there is an increasing trends in public debt of India. Regression result showed that 60 percent is the threshold point of public debt to GDP ratio and unit root test cleared that no need to check connection among public debt and gross domestic product. -
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Purchase intention of deconstructed end-of-lifecycle fashion products in an online and offline retail environment
Obsolete or slow-moving inventory is one of the major influencers for the bottom line of any business today. Surplus stock- be it from overbuys, returns, defects or simply merchandise hitting the end of their lifecycle- need to be accounted, accommodated and dealt with in a manner that can least affect the planned margins. For the fashion newlinebusiness, such merchandise poses greater challenges. The business is ground by seasonal preferences, fast-changing trends, short lead-times and shorter shelf-lives. With rising costs of traditional retail businesses, the associated costs of carrying such inventory are something that the newlineretailer can easily do without. At the retailers end, such merchandise is newlineoften subjected to traditional liquidation methods such as Markdowns, carry forwards, or selling at lowered prices to discount stores or factory outlets. From a manufacturer s perspective, overruns from production newlineare either sold at discounted costs to the retailer or are diverted to other sources of sales. In either case, such decisions do affect the margins of the business, and retailers often account for these necessary evils while planning their pricing strategy. Liquidation methods for such obsolete merchandise also need to meet the additional challenge of maintaining the perceived value of the products, and to not adversely newlineaffect planned margins due to lowered price points. This study seeks to explore fashion consumers acceptance of Deconstructed or up-cycled fashion for such obsolete or EOLC (End-of-lifecycle) merchandise that newlineremain unsold. It also maps the Perceived value of such merchandise and explores the other factors that may affect the Purchase Intention of the merchandise, like the Internal reference price, Perceived monetary newlinesacrifice and Perceived quality. Through an experimental study, a comparative analysis is built across consumers in an E-commerce vs newlineOffline store purchase scenario, to derive if the method of presentation of such products affects the Purchase intention. -
Purchase intention of deconstructed end-of-lifecycle Fashion products in an outline and offline retail environment
Obsolete or slow-moving inventory is one of the major influencers for the bottom line of any business today. Surplus stock- be it from overbuys, returns, defects or simply merchandise hitting the end of their lifecycle- need to be accounted, accommodated and dealt with in a manner that can least affect the planned margins. For the fashion business, such merchandise poses greater challenges. The business is ground by seasonal preferences, fast-changing trends, short lead-times and shorter shelf-lives. With rising costs of traditional retail businesses, the associated costs of carrying such inventory are something that the retailer can easily do without. At the retailers’ end, such merchandise is often subjected to traditional liquidation methods such as Markdowns, carry forwards, or selling at lowered prices to discount stores or factory outlets. From a manufacturer’s perspective, overruns from production are either sold at discounted costs to the retailer or are diverted to other sources of sales. In either case, such decisions do affect the margins of the business, and retailers often account for these “necessary evils” while planning their pricing strategy. -
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QSRP Studies of Chemical Compunds Using Topological Indices
In this study, we explore the intersection of graph theory and chemistry, focusing on how graph theory s principles can model molecular structures and predict their physiochemical properties. Specifcally, it applies topological indices (mathematical descriptors) derived from the graph-theoretic representation of molecules to establish quantitative structure-property relationships (QSPR) for octane isomers and polychlorobiphenyls. The investigation encompasses 30 topological indices, including the Harary, Wiener, Zagreb, and connectivity indices, and assesses their correlation with key physiochemical properties. Through rigorous analysis, the study successfully develops QSPR models capable of predicting properties like BP, HVAP, DHVAP, HFORM, AcenFac, TSA, and RRT signifcantly advancing newlinethe predictive accuracy of chemical properties. The study of inverse problems about topological indices and QSPR is a testament to the interdisciplinary nature of modern scientifc research, bridging gaps between mathematics, chemistry, and computer science. Inverse problems in graph theory newlinehold a special place due to their capacity to address fundamental questions about the structure and behavior of graphs based on given properties. They are often more complex and challenging than direct problems. The study of inverse problems in our research contributes to the theoretical foundations of chemical graph theory by characterizing trees and unicyclic graphs with specifc topological indices and oand#64256;ering novel insights into the inverse problem for Zagreb indices. The newlineinclusion of Python programs for calculating various topological indices further bridges theoretical chemistry with practical application, highlighting the thesis s newlineaim to enhance both the efciency and accuracy of predicting chemical compound properties. This work not only demonstrates the profound impact of graph theory on chemical informatics but also opens new avenues for research in the feld.