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                <text>Pricing of liquidity risk in the indian stock market</text>
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                <text>Capital asset pricing model; GMM; Liquidity; Liquidity beta; Liquidity innovations; Liquidity risk</text>
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                <text>Empirical literature from developed stock markets identifies liquidity risk to have impacts on the price of a stock. Given this, using one-minute trade and quote data of fifty stocks constituting the NIFTY 50 Index, this study examines the pricing of liquidity risk in the Indian stock market. The study uses thirteen liquidity measures identified from literature that cover the cost, quantity, time and multidimensional aspects of liquidity. The innovations in the liquidity measures are considered as the proxy for liquidity risk. Employing Generalized Methods of Moments estimation, the study proves that Indian investors expect to have a premium for holding securities that are illiquid when the whole market is illiquid. It proves liquidity risk as a priced factor and thus validates the liquidity-adjusted capital asset pricing model in the Indian stock market. It cautions the investors that the liquidity shocks can have significant inferences on portfolio diversification strategies to be adopted.  2020 GEA College – Faculty of Entrepreneurship. All rights reserved.</text>
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                <text>Cheriyan N.K.; Lazar D.</text>
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                <text>Advances in Business Related Scientific Research Journal, Vol-11, No. 1, pp. 23-35.</text>
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                <text>GEA College  Faculty of Entrepreneurship</text>
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                <text>ISSN: 1855931X</text>
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                <text>Cheriyan N.K., CHRIST, India; Lazar D., Pondicherry University, India</text>
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                <text>Primary mirror active control system simulation of Prototype Segmented Mirror Telescope</text>
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                <text>The upcoming large astronomical telescopes are trending towards the Segmented Mirror Telescope (SMT) technology, initially developed at the W M Keck Observatory in Hawaii, where two largest SMTs in the world are in use. SMT uses large number of smaller hexagonal mirror segments aligned and positioned by the use of three position/force actuators and six intersegment edge sensors. This positioning needs to be done within nanometer range to make them act like a monolithic primary mirror in the presence of different disturbances like wind, vibration &amp;amp; thermal effects. The primary mirror active control system of SMT does this important task at two levels. First at a global scale, by measuring edge sensor information continuously and commanding actuators to correct for any departure from the reference surface. And second at local actuator level, where all the actuators maintain their position to the reference control inputs. The paper describes our novel approach of primary mirror active control simulation of Prototype Segmented Mirror Telescope (PSMT) under design and development at Indian Institute of Astrophysics (IIA), Bangalore. The PSMT is a 1.5m segmented mirror telescope with seven hexagonal segments, 24 inductive edge sensors, and 21 soft actuators. The state space model of the soft actuator with Multiple-Input Multiple-Output (MIMO) capability is developed to incorporate dynamic wind disturbances. Further, a segment model was developed using three such actuators which accept actuator position commands from the global controller and telescope control system and yields tip-tilt-piston (TTP) of a single segment. A dynamic wind disturbance model is developed and used to disturb the mirror in a more realistic way. A feed forward PID controller is implemented, and gains are appropriately tuned to get the good wind rejection. In the last phase, a global controller is implemented based on SVD algorithm to command all the actuators of seven segments combined to act as a single monolithic mirror telescope. In this paper, we present the progress of PSMT active control system simulation along with the simulation results.  2017 IEEE.</text>
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                <text>Deshmukh P.; Mishra D.S.; Parihar P.; Vedashree</text>
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                <text>2017 Indian Control Conference, ICC 2017 - Proceedings, pp. 364-371.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/INDIANCC.2017.7846502" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/INDIANCC.2017.7846502&lt;/a&gt;
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                <text>ISBN: 978-150901795-9</text>
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                <text>Deshmukh P., Indian Institute of Astrophysics, Bangalore, 560034, India; Mishra D.S., Manipal Institute of Technology, Manipal, Karnataka, 576104, India; Parihar P., Indian Institute of Astrophysics, Bangalore, 560034, India; Vedashree, Christ University, Bangalore, 560029, India</text>
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                <text>Prime Influential Factors Determining

 Prime Influential Factors Determining Employability  of Engineering Graduates in Bangalore

</text>
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                <text> Das Ditipriya</text>
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                <text>2010</text>
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                <text>Commerce</text>
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            <description>An account of the resource</description>
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                <text>The question of employability has risen as a problem worldwide. India produces around



400000 engineers every year. But, according to a study done by Nasscom, only one in four engineering graduates is employable. The remaining lagged in technical skills and know-how, ability to converse in English, make oral presentations or work in teams. According to a recent survey jointly carried out by the Federation of Indian Chambers of Commerce and Industry (FICCI) and the World Bank, 64 percent of surveyed employers are ??somewhat, ??not really or

??not at all satisfied with the quality of the engineering graduates skills. Graduates are found lacking in important skills like entrepreneurship, communication in English and use of modern tools and technologies. It has been argued that if colleges want to improve the employability of their graduates, they have to focus on reducing these important skill gaps through improvements in curriculum and teaching methods. The primary objective of the paper is to identify a set of factors that may have a bearing on the employability of engineering graduates in Bangalore and then find out how they are being rated by the institutions engaged in training these graduates on one hand and their prospective employers on the other and then find out the prime factors or dimensions influencing the kind of response received from each side, i.e. the institution and the industry. Lastly, if differences are found between the decisive factors or principal components of the industry and the institution, the study also intends to propose qualitative suggestions that can help to bridge the gaps thereby accelerating chances of employability of engineering graduates.</text>
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                <text>Primordial Planets with an Admixture of Dark Matter Particles and Baryonic Matter </text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="94102">
                <text>baryonic admixture; dark matter; DM; early universe; primordial planets</text>
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                <text>It has been suggested that primordial planets could have formed in the early universe and the missing baryons in the universe could be explained by primordial free-floating planets of solid hydrogen. Many such planets were recently discovered around the old and metal-poor stars, and such planets could have formed in early epochs. Another possibility for missing baryons in the universe could be that these baryons are admixed with DM particles inside the primordial planets. Here, we discuss the possibility of the admixture of baryons in the DM primordial planets discussed earlier. We consider gravitationally bound DM objects with the DM particles constituting them varying in mass from 20 to100 GeV. Different fractions of DM particles mixed with baryonic matter in forming the primordial planets are discussed. For the different mass range of DM particles forming DM planets, we have estimated the radius and density of these planets with different fractions of DM and baryonic particles. It is found that for heavier-mass DM particles with the admixture of certain fractions of baryonic particles, the mass of the planet increases and can reach or even substantially exceed Jupiter mass. The energy released during the process of merger of such primordial planets is discussed. The energy required for the tidal breakup of such an object in the vicinity of a black hole is also discussed.  2023 by the authors.</text>
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              <elementText elementTextId="94104">
                <text>Kiren O.V.; Kenath A.; Sivaram C.</text>
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                <text>Universe, Vol-9, No. 9</text>
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                <text>Multidisciplinary Digital Publishing Institute (MDPI)</text>
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                <text>2023-01-01</text>
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                <text>The term latent disease refers to an infection that does not show symptoms but remains forever. In this paper, proposed a novel methodology for addressing latent diseases in machine learning by integrating fog computing techniques. Here there is a link between HIV to heart disease, that is when a person progresses to the next stage of HIV, a plague infection develops, causing cholesterol deposits to form. Plaque development causes the inside of the arteries to constrict over time, which may stimulate the release of numerous heat shock proteins and immune complexes into the bloodstream, potentially leading to heart disease. Heart disease has long been considered as a significant life-threatening illness in humans. Heart disease is driven by a range of factors including unhealthy eating, lack of physical exercise, gaining overweight, tobacco, as well as other hazardous lifestyle choices. Five different classifiers are used to perform the precision; they are Support vector machine, K-nearest neighbor, decision tree, and random forest, after we have used the classifier, the recommended ideal will split disease into groups which is created based on their threat issues. This will be beneficial to doctors assisting doctors in analyzing the risk factors associated with their patients.  2023 IEEE.</text>
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                <text>Suresh K., CHRIST (Deemed to Be University), Department of Computer Science, Bangalore, India; Subramani R., CHRIST (Deemed to Be University), Department of Mathematics, Bangalore, India; Rio N., CHRIST (Deemed to Be University), Department of Computer Science, Bangalore, India; Donald C., CHRIST (Deemed to Be University), Department of Computer Science, Bangalore, India; Sinha S., CHRIST (Deemed to Be University), Department of Computer Science, Bangalore, India; Soman S., GITAM University, Department of Computer Science, Bangalore, India</text>
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                <text>Purpose: This research is designed to meet two research objectives: firstly, to weigh up the criteria of Internet of Things (IoT) adoption in warehousing startups; secondly, to rank warehousing startups on the basis of benefits they derive from IoT adoption catering to an unorganized sector in the food supply chain. Design/methodology/approach: A blend of analytic hierarchy process (AHP) and complex proportional assessment (COPRAS) methods of multi-criteria decision-making techniques were applied. AHP determined the weights of various criteria using pairwise comparison, and COPRAS technique ranked the 10 warehousing startups on account of performance indicators. The study has been conducted at the warehousing startups of Bangalore, a hub of food warehousing startups. Findings: The critical findings of the study revealed that these food warehouse startups attain improved productivity in terms of enhancing efficiency when implemented with IoT adoption. When evaluated using both AHP and COPRAS techniques, the combined results show WH5 as the best performing and WH10 as the least performing warehouse startups. Practical implications: Warehouses that are embarking on their business opportunity in food storage can strategize to leverage the benefits of IoT in terms of food safety and security, capacity planning, layout design, space utilization and resilience. Originality/value: Despite the numerous research works on food supply chain, the research on IoT in warehousing startups is limited. The rankings for the 10 food warehousing startups integrated with IoT using AHP-COPRAS approaches are the novelty of this work.  2024, Emerald Publishing Limited.</text>
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                <text>Vedapradha R.; Joshi D.; Hariharan R.</text>
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                <text>ISSN: 9574093</text>
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                <text>Vedapradha R., School of Commerce, Mount Carmel College Autonomous, Bangalore, India; Joshi D., Department of Operations and Supply Chain Management, St. Josephs Institute of Management, Bangalore, India; Hariharan R., School of Business and Management, Christ (Deemed to be University), Yeshwanthpur Campus, Bengaluru, India</text>
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                <text>Internet banking has revolutionised the way customers interact with their banks, providing them with convenient access to a wide range of financial services from the comfort of their homes or mobile devices. Customer satisfaction the success of an endeavour is contingent upon a vital component internet banking Service provision, as it pertains directly impacts customer retention and loyalty. This research explores the application of artificial intelligence (AI) techniques, specifically random forest and convolutional neural networks (CNN), to prioritise the factors that affect customer satisfaction in internet banking. The study begins with data collection from a diverse sample of internet banking customers, including demographic information, transaction history, and customer feedback. These may include the ease of navigation, the response time of the platform, and the level of trust in the bank's security measures. Furthermore, convolutional neural networks (CNN) are utilised to analyse unstructured data such as customer feedback and reviews. By applying natural language processing techniques, CNN s extract sentiment and topic information from customer comments. This approach can ultimately lead to improved customer retention and loyalty, ensuring the long-term success and competitiveness of internet banking platforms. In conclusion, this study showcases the power of AI, specifically Random Forest and CNN, in prioritising factors affecting customer satisfaction in internet banking. It highlights the significance of using both quantitative and qualitative investigations in order to attain a comprehensive comprehension of customer sentiments and preferences in the digital banking landscape.   2024 IEEE.</text>
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                <text>Soundarraj P.L., School of Business And Management, Christ University, Maharashtra, Pune, 412112, India; Javaraj P., Sri Ramakrishna College of Arts And Science, Department of B. Com It, Coimbatore, India; Meetna S., Amrita School of Business, Coimbatore, India; Elaiyaraja A., PanimalarEngineering College, Department of Management Studies, Chennai, India; Naqvi S.R., Amity Business School, Amity University, Department of Human Resource And Organizational Behaviour, Up, Noida, India; Gamadia R., C K Shah Vijapurwala Institute of Management, Department of Management, Gujarat, Vadodara, India</text>
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                <text>Prioritizing the Essentials: The MBA Aspirants Dilemma</text>
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                <text>Objective decision-making while choosing an appropriate college for a Master in Business Administration (MBA) is only half-done. It is critical that the student be able to find the best placement at the end of the course by acquiring the most critical skills/specializations affecting placements and involves data-driven decision-making based on past placement trends. Viti and Vania have done their preliminary selection, of ABC College for their MBA course, based on the colleges credence quality. However, they are trying to understand the key success factors (KSFs) affecting placements at ABC to focus their next two years on getting most placement-ready. Having been provided with the placement details of the outgoing batch, they are looking to analyze the data to discover the most critical parameters affecting placements.  NeilsonJournals Publishing 2023.</text>
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                <text>Sharma V.; Poulose J.; Kapse M.; Sanjeev M.A.; Mahajan Y.</text>
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                <text>Journal of Organizational Behavior Education, Vol-16, pp. 121-126.</text>
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                <text>Sharma V., Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International (Deemed University), Pune, India; Poulose J., School of Business and Management, CHRIST (Deemed to be University) Delhi-NCR, India; Kapse M., Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International (Deemed University), Pune, India; Sanjeev M.A., Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International (Deemed University), Pune, India; Mahajan Y., Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International (Deemed University), Pune, India</text>
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          <element elementId="50">
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                <text>Priority based prediction mechanism for ranking providers in federated cloud architecture</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Baysian network; Broker manager; Cloud broker; Grade values; Priority feedback decision tree</text>
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                <text>Cloud computing is a growing and excellent technology, as exponentially increasing the interest among users to utilize cloud applications; they need to depend on any one of the particular service provider. Now a days number of service providers also rapidly increasing in wide range, this leads ambiguity and distrust among the users. In this paper, enhanced broker based federated cloud architecture is proposed to resolve the selection of service provider issue using grading techniques and results proved that better performance improvement than single service provider selection. This broker architecture also addresses to selects the appropriate service provider automatically in the federated cloud architecture for the users submitted requests by previous experience with help of Bayesian network model. The former one implemented through concept of grade system. It is constructed for categorizing the providers based on the level of available resources. Grade and grade values distributed by applying the grade distribution algorithm for distinguishes the components. Total grade values computed for every service provider and sorted using quick sort algorithm to grade the cloud service providers. Priority based feedback decision tree technique added with this for separates similar grade cloud service provider in the selected list. Second Bayesian network model also used to rank the cloud service providers according to the previous performance of the providers with customers. Probability of satisfied customers feedback calculated for individual Service Measurements Index of Cloud Service Providers.  2018, Springer Science+Business Media, LLC, part of Springer Nature.</text>
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              <elementText elementTextId="130078">
                <text>Saravanan M.; Aramudhan M.; SundaraPandiyan S.; Avudaiappan T.</text>
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                <text>Cluster Computing, Vol-22, pp. 9815-9823.</text>
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                <text>ISSN: 13867857</text>
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                <text>Saravanan M., SRM Institute of Science and Technology, Kattankulathur, Tamilnadu, India; Aramudhan M., Perunthalaivar Kamarajar College of Engineering and Tech, Karaikkal, India; SundaraPandiyan S., Christ (Deemed to be University), Bengaluru, Karnataka, India; Avudaiappan T., K. Ramakrishnan College of Technology, Trichy, Tamilnadu, India</text>
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                <text>Priority-driven Unbalanced Transportation Problem (PUTP) to obtain better Initial Feasible Solution</text>
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                <text>PPUTP; Priority-driven Unbalanced Transportation Problem; VAM</text>
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                <text>Arif A.S., Jahangirnagar University, Department of Mathematics, Dhaka, Savar, Bangladesh; Babu M.A., Independent University Bangladesh, Department of Physical Sciences, Dhaka, 1229, Bangladesh; Khan A.R., Jahangirnagar University, Department of Mathematics, Dhaka, Savar, Bangladesh; Islam M.N., Prince Sattam bin Abdulaziz University, Department of Industrial Engineering, Al Kharj, 11942, Saudi Arabia; Uddin M.S., CHRIST (Deemed to be University), Department of Computer Science, Delhi NCR, 201003, India; Poonia R.C., CHRIST (Deemed to be University), Department of Computer Science, Delhi NCR, 201003, India</text>
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A  Study of Current Indian Legal Framework

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                <text>This paper examines the formation of litigation intentions among e-commerce customers under the privacy breach due to the influence of antecedents such as vulnerability, social risk, privacy dispositions, effectiveness privacy policy, awareness of data management and moderators such as privacy control beliefs, efficacy in coping and litigation complexity. A structural equation modelling analysis revealed that reasons for privacy breach perceptions are customer dispositions about privacy, anticipated vulnerability due to privacy breach, and social risk related to personal information disclosure. The control beliefs and coping skills of customers under privacy threat positively moderate litigation intentions. Similarly, the task complexity of litigation significantly reduces litigation intentions.  2021</text>
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                <text>IIMB Management Review, Vol-33, No. 4, pp. 322-336.</text>
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                <text>The Internet of Things (IoT) also known as IoT has the potential that is required to revolutionize industries, this has been discussed in this research article. Advancements in technology have made devices affordable, efficient and reliable. Different sectors have already started to incorporate these devices into their operations to boost productivity, to minimize failure and downtime. They also use it to optimize resource utilization which is also an important factor. However, the use of these devices also has some security challenges which need to be handled. This research paper proposes a security model specifically designed for process management in the industries. The goal of this model is to find the vulnerabilities, to minimize the risks and threats. Also ensuring integrity, confidentiality and availability of processes is a part of the goal. This paper gives evidence from its implementation and trial apart from its explanation. During the implementation phase, the sensitive data achieved a 100% encryption rate, for protection. Also, integrity checks were conducted on 99.8% of data to guarantee data integrity.   2023 IEEE.</text>
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                <text>An analysis of the history of research as well as contemporary trends in higher education in India reveals the predominance of scientific research. Public policies, developmental strategies, and market forces often determine the nature and output of research in humanities and social sciences. Research in literatures, languages, and media needs articulationa process that reveals the significant interdisciplinary interventions that can be brought to the process of research and highlights the need for purpose-driven research as research rather than need-based research for research. This paper offers a critical overview of the role of research in universities in India, contemporary approaches to research at the national level, and the need to engage in interdisciplinary, collaborative, and action-based research, especially in humanities and social sciences departments in universities across India. Further, the paper offers a few examples of interdisciplinary and collaborative research to highlight the need for a symbiotic approach to academic research.  2020 IUP. All Rights Reserved.</text>
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                <text>IUP Journal of English Studies, Vol-15, No. 4, pp. 142-147.</text>
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                <text>Murthy S.V., CHRIST (Deemed to be University), S G Palya, Bengaluru Karnataka, 560029, India; Rathi M.T., CHRIST (Deemed to be University), S G Palya, Bengaluru Karnataka, 560029, India</text>
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                <text>Probability of Medication Adherence When Alarm Is Used as a Reminder</text>
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                <text>Adherence; Alarm; Medication Adherence; Medication Regime; Patient Beliefs; Reminder; Weight Gain</text>
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                <text>The main objective of this research is to find the effect of alarm as a form of reminder in improving medication adherence rate. Medication non-adherence is a problem that adversely impacts patients' health, finances, and longevity. Several factors are associated with medication non-adherence. This research uses the method of probability estimates, risk difference, relative risk, and odds ratio to analyze the probability of an increase in medication adherence among patients who use the alarm as a form of reminder. By clustered sampling and a structured questionnaire, 525 responses were obtained from patients suffering from different types of diseases in the state of Sikkim, India. It has been observed that using the alarm as a form of reminder significantly improves adherence rates. The odds of not missing a dose reduces to 49.3%. At a personal level, the chance of not missing the dose reduces by 32.6%, and if the total population is considered, 16.4% of people will not skip the dose if a reminder in the form of an alarm is used.  2022 International Journal of Reliable and Quality E-Healthcare. All rights reserved.</text>
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                <text>Saha S.K.; Adhikary A.; Jha A.; Saha S.; Bora B.</text>
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                <text>Saha S.K., Christ University, India; Adhikary A., Sikkim Manipal Institute of Technology, Sikkim Manipal University, India; Jha A., Sikkim Manipal Institute of Technology, Sikkim Manipal University, India; Saha S., Sikkim Manipal Institute of Technology, Sikkim Manipal University, India; Bora B., Sikkim Manipal Institute of Technology, Sikkim Manipal University, India</text>
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                <text>Probing star formation in five of the most massive spiral galaxies observed through ASTROSAT UltraViolet Imaging Telescope</text>
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                <text>galaxies: individual: NGC 1030, NGC 1961, NGC 4501, NGC 5635, NGC 266; galaxies: ISM; galaxies: spiral; Galaxy: formation; Galaxy: fundamental parameters</text>
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                <text>We present highly resolved and sensitive imaging of the five nearby massive spiral galaxies (with rotation velocities &amp;gt; 300 km s?1) observed by the UltraViolet Imaging Telescope onboard Indias multiwavelength astronomy satellite ASTROSAT, along with other archival observations. These massive spirals show a far-ultraviolet star formation rate in the range of ? 1.4  13.7 M? yr?1 and fall in the Green Valley region with a specific star formation rate within ? 10?11.5  10?10.5 yr?1. Moreover, the mean star formation rate density of the highly resolved star-forming clumps of these objects is in the range 0.011  0.098 M? yr?1 kpc?2, signifying localized star formation. From the spectral energy distributions, under the assumption of a delayed star formation model, we show that the star formation of these objects had peaked in the period of ? 0.8  2.8 Gyr after the Big Bang and the object that has experienced the peak sooner after the Big Bang show relatively less star-forming activity at z ? 0 and falls below the main-sequence relation for a stellar content of ? 1011 M?. We also show that these objects accumulated much of their stellar mass in the early period of evolution with ? 31  42 per cent of the total stellar mass obtained in a time of (1/16)  (1/5)th the age of the Universe. We estimate that these massive objects convert their halo baryons into stars with efficiencies falling between ? 7 and 31 per cent.  2024 Oxford University Press. All rights reserved.</text>
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                <text>Ray S.; Dhiwar S.; Bagchi J.; Pandge M.B.</text>
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                <text>Monthly Notices of the Royal Astronomical Society, Vol-527, No. 4, pp. 9999-10015.</text>
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                <text>Oxford University Press</text>
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                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1093/mnras/stad3702" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1093/mnras/stad3702&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183080089&amp;amp;doi=10.1093%2Fmnras%2Fstad3702&amp;amp;partnerID=40&amp;amp;md5=5d9d1e4103b5cfd768cd68d3f3dd76a9" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183080089&amp;amp;doi=10.1093%2fmnras%2fstad3702&amp;amp;partnerID=40&amp;amp;md5=5d9d1e4103b5cfd768cd68d3f3dd76a9&lt;/a&gt;</text>
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                <text>All Open Access; Hybrid Gold Open Access</text>
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                <text>ISSN: 358711; CODEN: MNRAA</text>
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                <text>Ray S., Department of Physics and Electronics, Christ University, Hosur Road, Bengaluru, 560029, India, Department of Physics and Electronics, Dayanand Science College, Latur, 413512, India; Dhiwar S., Inter-University Centre for Astronomy and Astrophysics, Pune, 411007, India, Department of Physics, Savitribai Phule Pune University, Pune, 411007, India; Bagchi J., Department of Physics and Electronics, Christ University, Hosur Road, Bengaluru, 560029, India; Pandge M.B., Department of Physics and Electronics, Dayanand Science College, Latur, 413512, India</text>
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