Volume 4 | Issue 4 | October-November-December-2016

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The major objective of this paper is to describe the use of �T� position in Archery sport. Scientific and biomechanical implementations are helpful to understand the archers correct position in competitive archery. The basic Principle of biomechanics can be benefited to minimize the efforts and minimum use of muscles evolved in draw and T position setup, as well as bow holding. Pre draw is achieved with the help of learning proper T position under biomechanical conditions, By raising the bow hand and drawing hand above shoulder level into a high Pre draw position this lowers the bow shoulder into the correct position with the �collar bone� sitting onto the ribs and sets up the rest of the body for the draw and shooting process. The basics of biomechanics and scientific analysis help to archer to rectify errors in their shooting form.

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Archery, Shooting, Stance, Body Position, T Position

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ast link in the distribution process during which goods

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With the expansion of Internet usage, E -banking has become one of the most revolutionized components of today's economic growth. E-banking is a powerful value-added tool to attract new customers and retain the existing ones. With the proliferation of internet and computer usage, the electronic delivery of e-banking service has become ideal for banks to meet customer's expectations (Poon, 2008). Besides, it helps in eliminating costly paper handling and teller interactions in the increasingly competitive banking environment. The development of e-banking has become a priority for core advantage. The potential competitive advantage of e-banking lies in the areas of cost reduction and satisfaction of consumer needs. There are an increasing number of the

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mer needs. There are an increasing number of the

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Peripartum cardiomyopathy is a life-threatening disorder of unknown aetiology that occurs in the last month of pregnancy or in first five months post-partum with absence of determinable cause for cardiac failure and absence of determinable heart disease.The disease is relatively uncommon with an estimated rate of 1 in 3,000-4,000 deliveries and its incidence is getting increased nowadays. The diagnosis of this entity is often difficult and it requires a high degree of clinical suspicion since majority of the cases in puerperium with cardiac failure (acute LVF or cardiac arrhythymias) and are often the cause for maternal mortality. Therefore it is essential that when aetiological risk factor is present in a case or whenever clinical suspicion arises, 2D echocardiogram be suggested to diagnose peripartum cardiomyopathy. Early diagnosis facilitates immediate intervention, which will prevent maternal morbidity, mortality and it also helps to team up with an internist or cardiologist to provide effective treatment to the patient. In this regard the present study was conducted to review the role of routine 2D echo in high risk antenatal women and it also throws light on the role of this noninvasive modality to diagnose cardiomyopathy of pregnancy and puerperium. The aims and objectives of the study are to evaIuate the role of 2D ECHO in diagnosing peripartum cardiomyopathy and to assess its prognostic value for a better maternal and fetal outcome.

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:Peripartum cardiomyopathy, puerperium, mortality, 2D echo.

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Mobile Cloud Computing (MCC) which combines mobile computing and cloud computing, has become one of the industry buzz words and a major discussion thread in the IT world since 2009. As MCC is still at the early stage of development, it is necessary to grasp a thorough understanding of the technology in order to point out the direction of future research. With the latter aim, this paper presents a review on the background and principle of MCC, characteristics, recent research work, and future research trends. A brief account on the background of MCC: from mobile computing to cloud computing is presented and then followed with a discussion on characteristics and recent research work. It then analyses the features and infrastructure of mobile cloud computing. The rest of the paper analyses the challenges of mobile cloud computing, summary of some research projects related to this area, and points out promising future research directions.

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Mobile Cloud Computing; Mobile Computing; Cloud Computing; Research Directions.

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Content marketing has become an increasingly crucial strategy for businesses across the board in a bid to engage their customers and foster brand loyalty. However, this exponential increase in online content has reached a point of saturation, whereby consumers are overwhelmed by the deluge of information at their disposal. This paper reviews challenges and opportunities in connection with content marketing in this age of content saturation. It highlights the role of big data in coming up with efficient content strategies that help block out the noise and get through to target audiences. Big data analytics can be utilized in analyzing consumer behavior, preferences, and trends to generate highly personalized and relevant content. The paper further reviews some big data tools and techniques for use in optimizing content creation, distribution, and performance measurement. Furthermore, it identifies and points out the successful case studies of firms that did an exemplary job in harnessing big data to improve their content marketing efforts. Indeed, the research concludes that infusing big data in content strategy formulation is not just useful; it is a requirement to maintain competitive advantage within the jammed digital marketplace.

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Content marketing, content saturation, big data, consumer behavior, personalized content, big data analytics, content strategy, digital marketing, content creation, data-driven marketing.

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AI and robotics have had good integration into disaster response and recovery over the past two years. The research paper focuses on the advancements of AI-powered robots in handling a wide array of disaster scenarios, from natural disasters like earthquakes, floods, and hurricanes to artificial crises involving industrial accidents and terrorist attacks. It reviews state-of-the-art technologies that allow robots to move through treacherous landscapes, perform search and rescue, transport medicine, and participate in restoring infrastructure. They include machine learning algorithms for real-time data processing, autonomous navigation, human-robot interaction, and multi-robot coordination. The paper also explains some challenges and limitations of AI-robotics systems, including ethics issues, logistics, and standardized protocols for deployment. We discuss how case studies and experimental results may point to the potential for AI-powered robots in transforming disaster response and recovery into life-saving and economically remedial activities.

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AI-powered robots, disaster response, disaster recovery, search and rescue, autonomous navigation, machine learning, human-robot interaction, multi-robot coordination, ethical considerations, deployment logistics.

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This study examines the intricate historical fabric of medieval Assam and the crucial influence Persian sources had in influencing the history of medieval period. The article centers on how Persian documents offer distinctive perspectives on the political, cultural, and social aspects of Assam in the Middle Ages, as historical strands intertwine throughout history. Through meticulous analysis, this study aims to shed light on lesser-known facets of Assamese history, revealing the nuanced ways in which Persian influence intersected with and enriched indigenous developments in the region. By exploring Persian sources, the study uncovers how Persian literary, administrative, and historical texts offer unique insights that complement and enhance the indigenous records, leading to a more comprehensive understanding of the medieval Assam. By bringing these obscured aspects to light, the research not only enriches our understanding of Assam's past but also highlights the broader implications of cross-cultural exchanges in the shaping of historical narratives.

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Assam, Persian Documents, Medieval Period, Political Dynamics

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Stock market prediction is one of the toughest tasks in finance and attracts much attention from academia and industry due to huge economic potential. Traditional econometric models dominated the field until recent developments in machine learning introduced new methodologies that capture complex market dynamics. Of these, the RF algorithm has excelled in large data volumes, the ability to model nonlinear relations, and ranking feature variable importance. The paper presents a review on the application of Random Forests in stock market prediction, covering the theoretical foundations of Random Forest, advantages over traditional methods, reviews of empirical studies proving their effectiveness, and challenges and future research directions. It synthesizes how recent literature can help researchers and practitioners use random forests to guide and improve the accuracy of predictions and robustness associated with stock market analysis.

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Stock market prediction, random forest algorithm, machine learning, finance, predictive modeling

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Present government has taken many steps to bring changes in Indian Economy. Among them Digital Banking in Rural Areas in lieu of Digital Banking is very important one. After the central government's demonetization drive, the country is moving towards cashless economy . In this venture , the Government has rightly utilized the digital India campaign to promote digitization. Recently NPCI launched the Unified Payment Interface (UPI), which is expected to make more efficiently through UPI- based-mobile apps. Apart from this opening millions of bank accounts through Jan Dhan Yojana in rural areas and linking bank accounts with Aadhar are the other effective steps taken towards the digital journey of the country.Use of smartphones and mobile is showing a steady increase and demonetization decision is revolutionary in respect of digital payments. This paper is a study to analyse the performance of various measures adopted by banks and government to implement digital banking in rural areas. And this is also an effort to focus on challenges incurred in this process. The study is conducted at Bommarabettu village of Karnataka where three nationalized banks, two co-operative societies and the Gram Panchayath together are concentrating on creating digital banking awareness in rural area. This study helps the government to overcome the problems in this course with new measures.

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Digital banking, Rural Area, Challenges

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