Volume 11 | Issue 7 |

 Abstract

Skin disorders are a prevalent public health issue in every region of the world. It is impossible to see the dangers posed by the diseases, which not only wreak havoc on one's physical health but also set the stage for mental sadness. In addition to this, it has been linked to incidences of skin cancer in extreme circumstances. As a consequence of this, one of the most difficult jobs involved in medical image analysis is the diagnosis of skin disorders based on clinical photographs. In addition, identifying skin illnesses manually by medical professionals is an arduous and time-consuming process that is also very subjective. As a direct consequence of this, patients and dermatologists alike want automated skin disease prognosis, which allows for more efficient treatment planning. In this study, we provide a method for the removal of unwanted hair from digital photographs that is based on morphological filtering, namely the Black-Hat transformation and the inpainting algorithm. Following this, we use Gaussian filtering to deblur or denoise the images. In addition, we use an automated ANN segmentation approach to separate the healthy lesions from the ones that are impacted. We use a technique called the Grey Level Co-occurrence Matrix (GLCM) in conjunction with statistical characteristics in order to extract the underlying input patterns from the skin photos. Three computationally efficient machine learning techniques, Decision Tree (DT), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN) classifiers are applied using the extracted features for effectively classifying the skin images as melanoma (MEL), melanocytic nevus (NV), basal cell carcinoma (BCC), actinic keratosis (AK), benign keratosis (BKL), dermatofibroma (DF), vascular lesion (VASC), and Squamous cell carcinoma (SCC). the HAM10000 datasets are utilized in the process of validating the models. SVM has a performance that is marginally superior to that of the other two classifiers. In addition to this, we have evaluated our procedures in light of the most recent scientific developments

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 Keywords

Skin Disease, Machine Learning, Image Segmentation, Decision Tree, Support Vector Machine, Nearest Neighbor (KNN)

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Empowering women is a critical aspect of the change process, says Naila Kabeer. She says women should understand the nature of institutionalized injustice and act to change it. Women's empowerment is important for poverty reduction, health, education and well-being, she says.Female reproduction income and their control over family spending can improve children's nutrition, health, education and work to break the cycle of intergenerational poverty..As women are Most of the poor, improve their economic situation, can also directly reduce women 17 reduce poverty and improve the well-being of women..A higher level of gender equality is also linked..The poverty and nutritional security of the population are lower, but the status is higher Human Development Index and less environmental pollution..Financial ability is as well as an effective way to strengthen women's rights and achieve gender equality.

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women, empowerment, economic, environment, pollution

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NEP 2020 is a major reform in the field of education introduced by Government of India which transforms the education from result or grade based education to skill based education. The policy is a comprehensive framework for elementary education to higher education as well as vocational training in both rural and urban India. It has been crafted to make the country Atmanirbhar Bharat accordingly with the vision of making the youth atmanirbhar through skill-based education. The GoI has not only emphasising on skill based education but also on skill based employment prospects. The present study aims to identify the role of NEP 2020 in the skill development of students. This paper analyses the need for vocational educational model and also how is the policy implicating towards the enhancing and inculcating the skill based education and what will be the impact of such model to our students, education system never the less our country. Challenges faced on implication of such model are studied and suggestions and recommendations are also specified based on it in the study.

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 Keywords

NEP 2020, Hub and Spoke Model, Industry Players, Vocational Education, Skill Development, Academic Bank of Credits, VET

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Academic stress hardens the learning path of the students. It adversely effects on mental health. Online learning adversely affects mental health by creating loneliness and isolation minds among students. This greatly impacts on the student's mental health. For student's who have existing mental health issues, it may worsen. According to modern concept, mental health is the capacity to keep one self-integrated in the face of stress and strain through integrative adjustment.The present study attempts to explore the relationship between Online learning of Mathematics and Mental Health among higher secondary students. The investigator has selected survey method for conducting the study. Higher secondary students are in the period of adolescence. They have a lot of stress and tension. The study shows that the Online Learning of Mathematics slightly affects the Mental Health of the higher secondary students. Online Learning of Mathematics can be considered as an initiatory factor in creating stress and tension which affects the mental health. So teachers have to use and incorporate innovative strategies and practices for effective and interested learning in mathematics.

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 Keywords

Online learning of Mathematics, Mental Health

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Creative Commons Attribution 4.0 and The Open Definition

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Background: Suicide is a type of deliberate self-harm (DSH) and is defined as a human act of self-intentioned and self - inflected cessation (death). Most often it ends with a fatal outcome. Removing suicide from the category of sin and crime, it was considered a psychiatric illness only from 19th century. Suicide was not discovered to be disease; it was declared to be one.1 Objectives: To assess the knowledge on suicidal prevention among parents of adolescents before and after structured teaching programme. To assess the effectiveness of structured teaching programme on knowledge of suicidal prevention among parents of adolescents. Methods: The data was generated by using structured questionnaire. Non probability convenient sampling was adopted to select 60 subjects. The data was obtained from the study subjects were analyzed and interpreted in terms of the objectives and hypothesis of the study. Descriptive and inferential statistics were used for the data analysis and the P value set at 0.05 levels. RESULTS: The results from the study subjects from Jhalawar Rural community. Rajasthan was obtained. The mean post test score was 32.85 was higher than the mean pretest score 12.31. The compute 't' value is 16.86(P<=0.001), indicates that there was significant association between the pre-test knowledge scores and the selected demographic variable, (Age in years) (P<=0.05). CONCLUSION: This study revealed that the knowledge of parents of adolescents regarding suicidal prevention was inadequate and was increased after the administration of structured teaching programme. Thus, the hypothesis was accepted.

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Key words: - Structured teaching programme and suicidal prevention.

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Background: Since our mothers' and grandmothers' days, enormous changes have taken place in the delivery of nursing care to the mother and the newborn. In their days, most babies were delivered at home by an untrained woman, neighbor, relative or friend or for the fortunate few, by a physician or trained midwife. In the changing scenario of health care system of today's world, the trends in midwifery and obstetrical nursing are also changing. There is new advancement in care being provided, parenthood planning, national policies. Aim: To assess the knowledge and attitude on selected recent advanced trends in midwifery practice among staff nurses, moreover to find out the correlation between knowledge and attitude and also to find out if there is any association between knowledge and attitude with selected demographic variables. Material and methods: In this study descriptive survey research design was used. 200 staff nurses were selected by simple Random sampling technique. Data collection was done by administering the structured knowledge questionnaire and Likert's attitude scale. The collected data was optimized and analyzed by using descriptive and inferential statistics. Results: The result reveals that most of the samples (50.5%) were having average knowledge and majority (58%) has positive attitude. Conclusion: A significant average knowledge and positive attitude was found regarding selected recent advanced trends in midwifery practice. Health care professional and government have the responsibility to provide proper information regarding recent advanced trends in midwifery practice so that staff nurses will be aware about it.

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Recent advanced trends in midwifery practice, staff nurses.

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Education is a fundamental right, and along with education facilities, one must refrain from discrimination based on sex or gender. As a developing country our fundamental duty has to arrange education for all. We will fail as a developing country if education system is still not being accessible to each individual in every corner of the country. Inclusive education is no longer an advantage; it is the need of the present. For a developing country like India, education is the most priority aspect of growth. In this book chapter, the recommendations regarding inclusive education suggested by national education policy 2020 have been discussed. The National Education Policy 2020, which was sanctioned by the Union Cabinet of India on 29 July 2020. National Education Policy 2020 (NEP 2020) replaces the previous National Policy on Education, 1986. The National Education Policy 2020 (NEP 2020) give the recommendations for SCs, STs' students, for OBCs and minorities, regarding women education, for transgender students, for Children With Special Needs, for children with disabilities, for children with specific learning disabilities, regarding School centric education, regarding teacher education, regarding Single Window System, regarding curriculum in the field of School Education and in higher education. The policy aims to achieve India's education system by 2040.

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National Education Policy 2020, Inclusive Education, Education for all, Indian Education system

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Background: Hair loss, or alopecia, is a common problem affecting both men and women. There is a growing demand for herbal cosmetics due to their minimal side effects. Aim: The present study aims to formulate a polyherbal hair oil, designed to promote hair growth and treat alopecia. The polyherbal hair oil formulation was developed using a combination of herbs, including amla, pumpkin seed, green tea, aloe vera, almond oil, sesame oil, and coconut oil. Method and Results: The potent chemical constituents responsible for the hair growth were determined by phytochemical screening of the herbs. Formulated polyherbal hair oil underwent a series of evaluations to ensure its quality and safety. Parameters such as viscosity, pH, saponification value, colour, odour, sensitivity, irritation, and acid value were assessed. These provided important information about the physical and chemical properties of the hair oil, ensuring its suitability for use. Increasing popularity of polyherbal hair oils for alopecia can be attributed to the growing preference for natural and safer alternatives to conventional hair care products. Conclusion: By harnessing the therapeutic potential of herbal ingredients, these formulations offer a holistic approach to hair care, by promoting healthy hair growth. It provides a promising solution for individuals experiencing hair loss. These formulations offer the benefits of herbal ingredients with fewer side effects and improved safety and efficacy. The combination was carefully selected to obtain the best possible formulation for stimulating hair growth.

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Hair loss, pH, viscosity, acid value, polyherbal

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Creative Commons Attribution 4.0 and The Open Definition

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The recent moves of Indian government, whether it be Digital India or demonetization or DBT, all intends to drive India towards cash-less economy. Although these initiatives are the key to address the issues of financial inclusion, poverty alleviation, cheap access to credit and corruption, but the fact that 95 percent of transactions in India are cash based cannot be overlooked, as India is a cash based economy, with the cash-to-GDP ratio being 12 percent. Only 10-15% of the population is estimated to have ever used any kind of non-cash payment instrument, compared to 40% of people in countries like Brazil, and china. Thus, the journey of Indian economy from cash towards going cashless is highly debatable. Therefore, this study discusses the concept and the various dynamics of going cashless along-with the current position of India. The study also puts forward the benefits and adverse impact of going cashless. It also assessed the growth on the path of being cashless in terms of digital payments. Moreover, an effort is made to know about pitfalls on the way of going cashless for India. It is obvious from this study that the future of the Cashless India looks pretty promising. In spite of the pitfalls in going cashless, the response of the people towards this move of the government is a clear indication that the journey of Indian economy from cash to cashless is likely to succeed in near future, if the prerequisite infrastructure are made available and the hindrances are removed. This revolutionary shift, into the new era of digital payments, entails a need of series of radical reforms in a phase wise manner, especially in rural areas as it can't be forced abruptly.

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 Keywords

Cashless Economy, India, Cash, Digital Payment, Digital India, Demonetization

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In today's fast-paced world, businesses have exciting opportunities to enhance customer satisfaction through advanced information and communication technologies. Banks, in particular, are adopting innovative electronic communication channels to stay competitive and satisfy customers. This study aimed to investigate customer attitudes towards conversational banking, using AI-powered digital assistants. It identified key determinants influencing customer acceptance or resistance to this new approach. Through factor analysis, it was revealed that customer acceptance plays a crucial role in the success of conversational banking. Understanding these determinants enables banks to improve the overall banking experience. Addressing customer concerns about safety and security fosters trust and increases acceptance of AI-powered digital assistants in conversational banking. keywords: Conversational Banking, Digital Assistants, Chatbots, Customer Acceptance, Customer Resistance

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Conversational Banking, Digital Assistants, Chatbots, Customer Acceptance, Customer Resistance

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Creative Commons Attribution 4.0 and The Open Definition