Volume 11 | Issue 10

 Abstract

Depression is a common psychiatric disorder found in elderly people. This study was conducted to compare the prevalence of depression and associated factors in elderly people residing in old age homes and retirement homes. Aims-This study aims to compare the prevalence of Depression in the elderly people in old age homes and in retirement homes and the association of the demographic variables and level of depression in the study population. Materials and Methods- This is a cross-sectional study conducted for a period of one month. The study participants were 120 elderly people from old age homes and 87 elderly people from retirement homes.GDS-15 short-form scale and semi-structured demographic questionnaire were administered to the participants. Results-Depression was found in 46.7% of participants in old age homes and 20% of participants in Retirement homes. There was a significant association between depression and age, gender, income, and self-perceived health status in participants from old age homes. Depression was associated with only gender in participants in retirement homes. Conclusion-Elderly people living in old age homes are more depressed than those living in retirement homes. Female participants are more depressed than male participants in old age homes whereas male participants are more depressed in retirement homes. More studies are needed to study the elderly people living in retirement homes.

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Depression, Old age homes, Retirement homes ,Elderly people

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Innovations acceptance is attracting increasing attention. Researchers are particularly interested in factors that affect the adoption of IS and IT innovations. However, despite numerous advantages of e-payment usage such as convenience, speed, efficiency and reduced cost, the economic ecosystem is skeptical to embrace e-payment systems .This research develops extended TAM model by integrating the three dimensions of trust (integrity, benevolence and competence) and two key constructs from technology acceptance models (perceived ease of use and perceived usefulness of e-payment) to explain online consumers' intentions to engage in the business relationship with e-payment. Through this framework, researchers can have a more accurate explanation of the consumer behavior and intention to accept new technology. This framework will be used to examine consumer's behavioral intention to accept e-payment by researchers.

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TAM, Integrity, Trust, Ability and TAM Model.

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Cybercrime and Cyber law have emerged as critical concerns in the contemporary digital age. With rapid advancement of technology and widespread internet usage, the global cyberspace has become a breeding ground for various forms of criminal's activities. This study highlights the interplay between cybercrime encompassing activities such as hacking, data breaches, online fraud, cyberbullying and the evolving cyber law frameworks designed to combat and regulate these illicit activities. It explores the challenges posed by the borderless nature of the internet and the level of awareness regarding cybercrime and cyber law is a critical aspect in today's digital society.

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Cybercrime, Cyber laws, Awareness & Perceptions.

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This article takes a focused look at the potential of homeopathic approaches in the management of Juvenile Idiopathic Arthritis (JIA). Understanding JIA's subtypes, etiology, and clinical presentations, the article delves into the unique benefits of homeopathy for alleviating pain, reducing inflammation, and improving overall well-being in JIA patients. By considering personalized symptoms and constitutional characteristics, homeopathy offers a holistic and individualized approach to JIA treatment. With a blend of traditional wisdom and modern perspectives, this article presents the power of homeopathy in empowering healing and fostering harmony for those living with JIA.

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 Keywords

- Juvenile Idiopathic Arthritis (JIA) - Homeopathy - Chronic inflammatory condition - Subtypes - Etiology - Clinical manifestations - Laboratory investigations - Pain management - Inflammation reduction - Holistic healing

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Watershed management is an ever-evolving practice involving the management of land, water, biota, and other resources in a defined area for ecological, social, and economic purposes. In this paper, we explore the following objectives To strengthen the village level governance of biomass and water resources by village communities, including involvement of Panchayats in addressing natural resource management. To assist communities in effectively integrating agriculture and natural resources management and in regulating the demand for biomass and water through rules, regulations and mechanisms evolved by community institutions at village and inter village levels. Strengthen the inter-linkages between different production systems and productivity enhancement through appropriate intervention thus improving the cash flows in the village economy. To assist individual farmers through appropriate soil and water conservation measures to improve water availability for agriculture, livestock improvement and thereby, improving agricultural productivity. To increase the availability of biomass through re-vegetation of the common lands and increased availability of surface and ground water through soil and moisture conservation and retention measures. How has watershed management evolved. This address the numerous benefits from integration across disciplines and jurisdictional boundaries, as well as the incorporation of technological advancements, such as remote sensing, GIS, big data, and multi-level social-ecological systems analysis, into watershed management strategies.

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: integrated water shed ,programmes, Development

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It was observed that at very low concentrations the toxicant is deadly toxic and affects the BGA. With the increase in the concentration of cadmium chloride the percent survival of the exposed alga decreased and hundred percent death was noticed at 1.88 mg.l-1 of cadmium chloride with in a period of 15 days. The maximum allowable concentration (MAC) recorded for this alga for 15 days exposure was 0.31mg.l-1. The lethal concentration values for 15 days of exposure periods have been outlined below. The LC10 value was 0.48 mg. l-1. The LC50 value was 0.78 mg l-1. LC90 value was 1.22 mg l-1 and LC100 value was 1.88 mg l-1, for this particular alga, Anabaena cylindrica. The control set showed 100% survival. Out of the above concentrations, LC00 or PS100 as safe MAC value of 0.31 mg.l-1 was selected as 'X'; LC50 or PS50 of 0.78 mg.l-1 was selected as 'Y' and LC90 or PS10 value of 1.22 mg.l-1was selected as 'Z' for conducting future experiments. The optical density study and the dry weight analysis indicated that the toxicant cadmium in the form of cadmium chloride is deadly toxic. Cadmium did not show any dichotomous behavior. In recovery studies, no significant recovery was seen at lower concentration and no recovery at all at higher concentration indicated that cadmium caused irreparable damage to the exposed system. Complete bleaching of the algal mass inside the test solution (Z) was observed from 3rd day of exposure period onwards. Gradually tiny blue-green particles started making their appearance in the white turbid mass as observed in the naked eye after 30 days of recovery period. These particles grew in size with time. It was probably due to the appearance of photosynthetic pigments which disappeared due to the heavy metal (Cadmium) stress on the alga. Slowly the entire white mass got converted into a blue-green mass with the increase in recovery period (60 days of recovery).

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Cadmium chloride, Toxicity, Growth, Blue-green alga

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An important linguistic conception called antomymy is employed to convey specific lexical-semantic relationships between words. These words exhibit semantic, lexical, morphological, and pragmatic characteristics. Addutiinally, numerous studies conducted on the level of various nations have emphasized all of these levels concerning antonyms. However, there is one level of analysis that has been completely ignored by researchers and academics, namely the phonological one. Therefore, this study's significance stems from uncovering this factor of analysis and investigating the phonological characteristics of antonyms. The researcher attempts to delve in the phonological features in general and in syllable structures of antonyms in particular to investigate, examine and arrived at a generalization of their occurrences. A case which may be useful to language practitioners, teachers and students. As a result, the current study's goals include identifying antonyms and other related subjects, determining antonyms, as well as investigating the phonological segmental properties of antonyms (more precisely, performing a syllable analysis). Its is postulated that antonyms have specific phonological characteristics, besides their specific structure of syllables. Undoubtedly, this initiative will close a gap in the body of literature on the current topic. However, the data that are chosen from websites relevant to this issue are analyzed by using a descriptive analytical technique. Consequently, this study concludes that no specific syllable structure pattern to generalize upon it is found, though there are aspects of similarities among the analyzed data in general. The study will help the students to develop their competence to meet their present and future needs and to make them absorb the significance of antonymy by focusing on this phenomenon from all its aspects.

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antonymy, antonyms, syllables, syllables structure

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Spectroscopy is a scientific discipline originating from Isaac Newton's experiments, expanding to study the interaction between matter and electromagnetic radiation. This interaction reveals energy quantization, observed across the electromagnetic spectrum. Experimental measurements yield energy level information, contributing to our understanding of matter's behavior.UV-Visible spectroscopy examines electromagnetic radiation interaction with atoms and molecules, focusing on absorption or emission profiles. Wavelength governs the visible color spectrum, measured by spectrophotometers. Absorbance follows Beer's Law, directly proportional to concentration and path length. Electronic transitions induce absorption bands, narrow for atoms and broader for molecules, broadening in solutions due to solvent-solute interactions.

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UV Spectroscopy, Validation, GMP, Simultaneous Equation, Q-Ratio Absorbance, Derivative Spectroscopy, Difference Spectroscopy

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Indian Art music is a great treasure of art, music, Dance and literature. One of the glorious ancient forms of music in Odisha is Odissi Sh?striya Sangeet (Odissi Classical Music). With codified grammar and well-established syntactic structure, Odissi mu-sic has a deep-rooted tradition and its exuberance lies in its application. That is why Odissi music is considered to be an amal-gamation of literature, grammar and music and also this is what makes it stand apart as a different and independent form of music. The different lyrical compostitions or Prabandhas used in Odissi classical music is as - Odissi, Champu, Chh?nda, Chautish?, Pallavi, Bhajan, Jan?na, Gita Govinda etc. Despite the fact that many such narrations are available in Odissi music the Chautishaa has carved an independent place for itself. The present study includes a detailed investigation on the uniqueness of Chautishaa in Odissi Classical Music.

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Odissi classical music, Odissi, Chanda, Champu, Chautisha, Gita Gobinda, Pallavai, Bhajan, Janana

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This empirical study examines whether smartphone users experience love for their smartphone brands and whether there is a relationship between demographic variables and brand love in smartphone users in the Indian context. A personal interview based survey is carried out in two cities in Gujarat state using convenience sampling. Analysis of variance is used to test whether the demographic variables of age gender, education, occupation and income, are significantly related to brand love for smartphones. The findings confirm that age, gender, education and income are significantly related to strong positive feelings for the smartphone brands. Occupation, however does not have a significant relationship.

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Brand love, Demographic variables, Smartphone, India

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Vedic India respected women. In 200 B.C., the ancient Indian lawgiver Manu stated, "Where women are revered, the gods are delighted; but where they are disrespected, no holy ritual is beneficial." Before the ceremony, the groom may make a vow to the bride. As a mother, wife, and sister, she was held in high regard. She symbolizes bravery, love, sacrifice, and suffering. Women, who make up almost half of the country's population, have been denied development prospects on purpose in the guise of religion and socio cultural customs. As a result of many repulsive practices, conventional rigidities, and depravities, the condition of women in society was dismal. The widespread illiteracy, forced child marriage, complete denial of individuality, economic dependence, heavy domestic work-load that remained unpaid and unrecognized, absence of career and mobility, non-recognition of their economic contribution, poor working conditions and wages, and monotonous jobs, etc., were to blame for their pitiful conditions Due to social, economic, and political issues, women have lost respect. The practices of Sati, Purdah, child marriage, and dowry humiliated women both within and beyond the house. Sexual harassment in the workplace, kidnapping, and female foeticide have resulted in horrific social behavior, and the majority of dependent women have lost their identities.

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Ancient, Medieval, Manu, Women, Opportunities, Growth.

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To understand images and extract useful information from images to finish some works is an important part in digital image technology and for understanding the image, image segmentation is a first step. Image segmentation has an important part in image processing. Segmentation is the process of partitioning a digital image into multiple regions. Extraction of a meaningful region known as the region of interest. Region of interest used to avoid the processing of irrelevant image points and speed up the processing. Threshold-Based Segmentation method divides pixels based on their intensity relative to a given threshold. Thresholding algorithm suitable for segmenting with higher intensity. Hence the success of extraction of ROI of the image processing applications, in this paper image segmentation process algorithm i.e. Otsu algorithm using MATLAB is presented.

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Image Segmentation, MATLAB, Region of Interest, Threshold

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Face Detection is the greatest technology in the Artificial Neural Network to identifying and validating the important features of Human faces in a few second. Face Detection is the fundamental technology to identifying the criminals, to Recognize faces and to analysis of faces. Face detection technology in Artificial Neural Network makes possible to protect our private data by strong security and authentication process in our mobile phone through the Face detection lock. Face detection system used at all authenticated places for the strengthen security measures. In this paper, proposed algorithm Cascade Object Classifier strongly detect each and every Object, all type of Face with its position and angle at all location and detect face with and without mask accurately. In this paper the proposed methodology detect faces very fast and identify correct features of image.

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Casacade Object Classifier, Face Detection, Strengthen Security

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The rapid urbanization and technological advancements of the 21st century have given rise to the concept of smart cities, where innovative technologies are harnessed to create urban environments that are efficient, sustainable, and livable. This abstract delves into the design and implementation of a comprehensive Big Data model tailored to improve the quality of life in smart cities. By leveraging the power of data analytics, this model integrates diverse urban data sources, enhances infrastructure efficiency, fosters citizen engagement, and promotes a holistic approach to urban development. The Big Data model integrates data from various sources such as sensors, social media, public records, and city infrastructure. By employing advanced analytics, patterns and trends within this data are identified. This integration provides city planners with valuable insights into areas such as traffic flow, energy consumption, waste management, and public services usage. The model utilizes predictive analytics to optimize smart city infrastructure. By analyzing historical and real-time data, it anticipates future demands on resources such as energy, water, and transportation. This proactive approach enables efficient allocation of resources, reduces wastage, and ensures the sustainability of essential services.

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Predictive Urban Planning, Smart Infrastructure, Data Privacy, Community Engagement, Real-time Data

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The proliferation of online e-transactions has revolutionized commerce, offering unprecedented convenience and efficiency. However, the digital landscape is rife with cybersecurity threats, making robust security measures imperative to safeguard online transactions. This abstract introduces a comprehensive framework designed specifically for the prevention of various attacks in online e-transactions. Grounded in advanced cryptography, real-time monitoring, and adaptive algorithms, this framework provides multi-layered security, ensuring the integrity, confidentiality, and authenticity of digital transactions. By addressing vulnerabilities inherent in online environments, this framework stands as a bulwark against cyber threats, fostering trust and confidence in the digital marketplace. The framework employs state-of-the-art cryptographic protocols and encryption techniques to secure sensitive transactional data. Utilizing asymmetric and symmetric encryption algorithms, it ensures end-to-end data confidentiality, thwarting eavesdropping attempts and data breaches during transmission. Multi-factor authentication mechanisms, coupled with biometric verification, enhance user authentication processes. By incorporating factors such as passwords, smart tokens, and biometric markers, the framework establishes robust user identities, mitigating the risks associated with unauthorized access and identity theft. The framework integrates real-time threat monitoring and anomaly detection systems. By analyzing transaction patterns and user behavior, it swiftly identifies deviations from the norm, signaling potential security breaches. Timely alerts enable proactive response, preventing fraudulent activities and ensuring transactional integrity.

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Online e-transaction security, Cybersecurity framework, Attack prevention, Cryptographic protocols, Encryption techniques

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At present, contaminated water bodies becomes a global environmental issue. In current situations, it receives a escalating interest throughout the world, because of its adverse impacts on human health, aquatic floara and fauna and on all over quality of healthy environment. Along with increased urbanization and industrialization use of water is also increased all over. Most of the areas from urban and rural area receives polluted drinking water. Present study focus on the water quality status of Indrayani river in district Pune. To monitor the water quality status of this river, some important parameters were analyzed such as, pH, Dissolved oxygen, Biological Oxygen Demand, conductivity, Total Solids, Total Dissolved Solids etc. the results from this study indicates that the continuous water quality monitoring is necessary in study area.

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Water quality, Dissolved oxygen, domestic waste, industrial effluent

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CNN BASED METHODS FOR CROWD COUNTING – A COMPREHENSIVE STUDY

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CNN BASED METHODS FOR CROWD COUNTING – A COMPREHENSIVE STUDY

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The students can learn critical thinking skills by seeing profits and losses based on their analysis, in the (simulated) financial markets. For experiential learning, making use of financial markets makes students realise that there is a lot to learn regardless of the fact that they are already becoming aware of the things that take place in financial markets. The rationale for conducting a study to determine the investment behavior of students in the stock market using trading simulation software can be based on several important factors and goals. In the present study, 'edinvest.in' has been employed in order to affect the online trading stock market simulation. It was observed that the serious or educated investors are likely to get better returns through stock trading and the speculative investors are exposed to a relatively higher degree of risk compared to their educated counterparts. Simulation software like 'InvestEd' can be very helpful in not only educating students on the risks involved in stock trading but also training them on how to get maximum return from online trading.

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Trading Simulator

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Krimi is a very common health issue in a Pediatric age group and is widely prevalent in areas of low environmental quality and people of low nutritional status. In India, the problem is likely to be more common because of poor hygiene, lack of awareness, illiteracy, poverty and variety of allied factors. Krimi is an important disease described in ayurvedic science and is described in detail with respect to its etiology, clinical features and treatment. The term krimi is used to denote tiny organisms which reside in human body. Concept of krimi and their relation in the development of disease is described in almost all ayurvedic samhita. Acharyas also describe krimi as an etiological factor in various diseases. 8 year old female child, having complaints of abdominal pain, loose motions, vomiting, perianal itching associated with worms in stool was treated with krimighna basti and changes were noted in abdomen pain, perianal itching, loose motions and genral appearance of the patient. The details of the findings are presented in this study report.

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Krimi, Krimighna basti, worm infestation

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 Abstract

BUILDING A WEB-BASED PLAGIARISM SYSTEM USING ABSTRACT SYNTAX TREE AND GREEDY STRING TILING ALGORITHM

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BUILDING A WEB-BASED PLAGIARISM SYSTEM USING ABSTRACT SYNTAX TREE AND GREEDY STRING TILING ALGORITHM

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