Research Methodologies for Management Sciences & Interdisciplinary Research in Contemporary World

The charismatic trend attributed in the domain of interdisciplinary research and management sciences has resulted in the notable increase of research activities in these fields. The manifesto of this paper is to identify the major research methodologies in the management sciences in the contemporary world and specifically in Asian academic space. Based upon the research findings, this paper categorically presents the specific categories of research classification with empirical evidence and further explains various new trends in contemporary scientific publications in context to management sciences and interdisciplinary research.Research Methodology, Management Sciences, Interdisciplinary Research, Contemporary Scientific Publications

How Do Institutional and Student Cohort Characteristics Affect Retention Rates at 4-Year, Private Baccalaureate Colleges?

Retention rates are crucial for colleges and universities to consider, both in an effort to maintain their student body, as well as to compete in higher education ranking systems. This research aims to use data provided by The Integrated Postsecondary Education Data System to estimate the factors that affect the retention rates of private, four-year colleges classified by the Carnegie Classification of Institutions of Higher Education as Baccalaureate, both Arts and Sciences and Diverse Fields, using a time series cross-sectional model. Results indicated that five factors, out of the fifteen considered, were robust in determining retention rates. These were the 50th percentile ACT score of the student cohort, the student-to-faculty ratio of the college, instruction expenditures per student, the full time enrollment - or size - of the school, and if the school is an arts and sciences institution

A Classification of the Projective Lines over Small Rings

A compact classification of the projective lines defined over (commutative) rings (with unity) of all orders up to thirty-one is given. There are altogether sixty-five different types of them. For each type we introduce the total number of points on the line, the number of points represented by coordinates with at least one entry being a unit, the cardinality of the neighbourhood of a generic point of the line as well as those of the intersections between the neighbourhoods of two and three mutually distant points, the number of `Jacobson' points per a neighbourhood, the maximum number of pairwise distant points and, finally, a list of representative/base rings. The classification is presented in form of a table in order to see readily not only the fine traits of the hierarchy, but also the changes in the structure of the lines as one goes from one type to the other. We hope this study will serve as an impetus to a search for possible applications of these remarkable geometries in physics, chemistry, biology and other natural sciences as well.Comment: 7 pages, 1 figure; Version 2: classification extended up to order 20, references updated; Version 3: classification extended up to order 31, two more references added; Version 4: references updated, minor correctio

The phylogeny of Anophelinae revisited: inferences about the origin and classification of Anopheles (Diptera: Culicidae)

© 2015 Royal Swedish Academy of Sciences. "This is the pre-peer reviewed version of the following article: Harbach, R. E. and I. J. Kitching (2016). "The phylogeny of Anophelinae revisited: inferences about the origin and classification of Anopheles (Diptera: Culicidae)." Zoologica Scripta 45(1): 34-47, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/zsc.12137/full. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.

Unconventional machine learning of genome-wide human cancer data

Recent advances in high-throughput genomic technologies coupled with exponential increases in computer processing and memory have allowed us to interrogate the complex aberrant molecular underpinnings of human disease from a genome-wide perspective. While the deluge of genomic information is expected to increase, a bottleneck in conventional high-performance computing is rapidly approaching. Inspired in part by recent advances in physical quantum processors, we evaluated several unconventional machine learning (ML) strategies on actual human tumor data. Here we show for the first time the efficacy of multiple annealing-based ML algorithms for classification of high-dimensional, multi-omics human cancer data from the Cancer Genome Atlas. To assess algorithm performance, we compared these classifiers to a variety of standard ML methods. Our results indicate the feasibility of using annealing-based ML to provide competitive classification of human cancer types and associated molecular subtypes and superior performance with smaller training datasets, thus providing compelling empirical evidence for the potential future application of unconventional computing architectures in the biomedical sciences

Construction of a Pragmatic Base Line for Journal Classifications and Maps Based on Aggregated Journal-Journal Citation Relations

A number of journal classification systems have been developed in bibliometrics since the launch of the Citation Indices by the Institute of Scientific Information (ISI) in the 1960s. These systems are used to normalize citation counts with respect to field-specific citation patterns. The best known system is the so-called "Web-of-Science Subject Categories" (WCs). In other systems papers are classified by algorithmic solutions. Using the Journal Citation Reports 2014 of the Science Citation Index and the Social Science Citation Index (n of journals = 11,149), we examine options for developing a new system based on journal classifications into subject categories using aggregated journal-journal citation data. Combining routines in VOSviewer and Pajek, a tree-like classification is developed. At each level one can generate a map of science for all the journals subsumed under a category. Nine major fields are distinguished at the top level. Further decomposition of the social sciences is pursued for the sake of example with a focus on journals in information science (LIS) and science studies (STS). The new classification system improves on alternative options by avoiding the problem of randomness in each run that has made algorithmic solutions hitherto irreproducible. Limitations of the new system are discussed (e.g. the classification of multi-disciplinary journals). The system's usefulness for field-normalization in bibliometrics should be explored in future studies.Comment: accepted for publication in the Journal of Informetrics, 20 July 201