The Сoncept of Leadership is Always Engaging for an Elite Occupational Preeminence

The term ‘’Management and Leadership’’ are the very prime focus for any of the very enriching occupational steps to deal with most significant progress. Most importantly, both education and occupation are largely dependent upon the same because the term ‘’Management’’ shall be navigating the most legitimate avenues to accomplish the task with the finest objectives. On the other hand, the term ‘’Leadership’’ shall be focusing upon the methodology and best future consequences respectively. It is quite evident that both academic leaders and organizational leaders shall have to focus for the vivid progressions along with the radiant dimension of success in terms of best financial outputs, occupational vibrancy, global appreciations and undeniable good will at all. This is the primary need of those leaders to refine both education and organization in a befitting manner. This is how they may enrich the best occupational goal with momentous dexterity, where economical solidity is one of the significant measures consequently. Therefore, leaders are those very eminent personalities, who are here to execute their best through the stature of prime competency for leading the hierarchy of an organization without any second thought because their elite motive to ensure the comprehensive organizational success and the most rapid celerity with best available resources, indeed. That is how leaders do empower their followers who shall have to be well trained not only for the self enrichment within the stipulated time frame but to contribute a lot for the unbeaten occupational culmination in a conforming manner. Leaders have been finding some of the very dynamic objects through some outstanding organizations like “Indian Statistical Institute”. It a prime institute of ‘’National Importance’’. It is India based research institute which consists of all the scientific research which are of absolute elite class indeed. All the academic leaders are comprehensively seeking for the comprehensive innovations along with their global clarities and those are going to be the historic discoveries for the best consequential research soon. All the forthcoming researchers will be undoubtedly successful, and they shall have the exclusive vive to accept that exemplary methodologies of research in the end. Therefore, their conceptual depth would really be high, and they shall be able to implement those core concepts like departmental culmination, communal advocacy, collective perception, proclamation of ideas, elevation of various convictions and the amalgamation of multifarious exposures will definitely be determined. On the other hand, renowned institute like ISI finds the captivating solutions for the researchers through their insightful data and their comprehensive analysis respectively. So, each researcher can have the best analytical review not only to focus our extensive splendor of research but to refine our collective benefaction over a due course of time.

Seeking Common Ground Amidst Differences

This chapter unearths a series of heretofore largely forgotten exchanges between Chinese and Indian statisticians. It is based on study of key figures, such as the deputy director of China's State Statistics Bureau, Wang Sihua, and the Indian statistician P. C. Mahalanobis. Focusing on Chinese interest in the emerging technology of large-scale random sampling, in which Mahalanobis and the Indian Statistical Institute were global innovators, the exchanges point to alternative frameworks for Cold War scientific exchanges while also placing in stark relief the extent to which Chinese statisticians and leaders clearly understood both the strengths and shortcomings of their own statistical system. The chapter traces these exchanges, explaining their timing and the motivation behind them. Each set of actors in these exchanges had its own agenda. The chapter shows that the Indians were particularly keen on learning more about China's planning methods.

Spectral Graph-based Features for Recognition of Handwritten Characters: A Case Study on Handwritten Devanagari Numerals

Interpretation of different writing styles, unconstrained cursiveness and relationship between different primitive parts is an essential and challenging task for recognition of handwritten characters. As feature representation is inadequate, appropriate interpretation/description of handwritten characters seems to be a challenging task. Although existing research in handwritten characters is extensive, it still remains a challenge to get the effective representation of characters in feature space. In this paper, we make an attempt to circumvent these problems by proposing an approach that exploits the robust graph representation and spectral graph embedding concept to characterise and effectively represent handwritten characters, taking into account writing styles, cursiveness and relationships. For corroboration of the efficacy of the proposed method, extensive experiments were carried out on the standard handwritten numeral Computer Vision Pattern Recognition, Unit of Indian Statistical Institute Kolkata dataset. The experimental results demonstrate promising findings, which can be used in future studies.

‘Fancy Calculating Machine’: Computers and planning in independent India

In the middle of the twentieth century, statistician P. C. Mahalanobis strove to haul India into the computer age. Convinced that these machines were integral to the future of economic planning in India, he and the Indian Statistical Institute mounted a campaign to bring India its first computers. In the years following independence, Mahalanobis and the Indian Statistical Institute acquired significant influence in the Indian planning process—culminating in them effectively authoring India's Second Five-Year Plan (1956–61). The tale of the computer's journey to India demonstrates that the decision to centrally plan independent India's economy, and the resultant explosion of official statistics, provided the justification for the pursuit of computers. They potentially solved what was considered centralized planning's greatest puzzle: big data. Mahalanobis persuaded the Indian government of the need to import computers for the purposes of development, and then negotiated the import of these exorbitantly expensive machines during visits to Europe, the United States of America and the Soviet Union. Needless to say, the question of which country would provide India its first computers would ruffle Cold War feathers. This article brings together and identifies a link between the research activities of the Indian Statistical Institute, its deepening association with economic planning and the installation of India's earliest computers.

Prevalence and associate factors of low birth weight in North Indian babies: a rural based study

Background: LBW is universally used as an indicator of health status and is an important subject of national concern and a focus of health policy. LBW is the strongest determinant of infant morbidity and mortality in India. Regional estimates of LBW include 28% in south Asia, 13% in sub-Saharan Africa and 9% in Latin America. Among regions, South Asia has the highest incidence of LBW; with one in four newborns has LBW. In 2011, Indian Statistical Institute reported nearly 20% of new born have LBW in India. DLHS-4 (2012-2013) in Haryana found that the prevalence of LBW was as 12.7%. The aims and objectives of study were to know the prevalence and its associated factors of low birth weight in rural area of Haryana.Methods: The beri block (Jhajjar) which is rural field practice of department of Community Medicine Pt B D Sharma PGIMS Rohtak (Haryana) India, has one CHC Dighal having 20 sub-centers. 10 sub-centers were selected by simple random sampling from these 20 sub-centres and 800 study subjects were enrolled from June 2015 to May 2016 from selected subcentres.Results: In present study, prevalence of LBW was 17%. The study found that sex of baby, type of family, socioeconomic status, educational status of mother, occupation of mother, anemia and intake of IFA had significantly impacted on LBW in India.Conclusions: Prevalence of LBW is decreased by health and nutrition education, iron and folic acid supplementation, effective management of complication.