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Numerous studies have investigated economies of scale and scope in higher education as a means of providing public and private providers of college and university teaching, research and other services and their stakeholders with knowledge of the cost structures that underpin provision in this economically and socially important sector. However, debate continues on the precise nature of the economies of scale and scope in higher education given the mixed findings, largely because of significant institutional and other differences across studies. To address this, we employ meta-regression analysis to explore not only the overall level of scale and scope economies across more than 40 international studies conducted in Australia, the US, the UK, Italy, China, and elsewhere since the early 1980s, but also those factors that potentially affect their presence in the higher education sector. Our findings suggest that functional form and allowances for managerial efficiency have a significant impact on the estimated scale economies. In contrast, for scope economies, the key discriminating factors appear to be when the analysis was conducted, the diversity of the sample, and the national level of economic development.

How precipitation (P) is translated into streamflow (Q) and over what timescales (i.e., "memory") is difficult to predict without calibration of site‐specific models or using geochemical approaches, posing barriers to prediction in ungauged basins or advancement of general theories. Here, we used a data‐driven approach to identify regional patterns and exogenous controls on P–Q interactions. We applied an information flow analysis, which quantifies uncertainty reduction, to a daily time series of P and Q from 671 watersheds across the conterminous United States. We first demonstrated that information transfer from P to Q primarily reflects the quickflow component of water‐budgets, based on a watershed model. Readily quantifiable information flows show a functional relationship with model parameters, suggesting utility for model calibration. Second, applied to real watersheds, P–Q information flows exhibit seasonally varying behavior within regions in a manner consistent with dominant runoff generation mechanisms. However, the timing and the magnitude of information flows also reflect considerable subregional heterogeneity, likely attributable to differences in watershed size, baseflow contributions, and variation in aerial coverage of preferential flow paths. A regression analysis showed that a combination of climate and watershed characteristics are predictive of P–Q information flows. Though information flows cannot, in most cases, uniquely determine dominant runoff mechanisms, they provide a means to quantify the heterogeneous outcomes of those mechanisms within regions, thereby serving as a benchmarking tool for models developed at the regional scale. Last, information flows characterize regionally specific ways in which catchment connectivity changes from the wet to dry season. Key Points: Information‐theoretic metrics quantifying the precipitation (P)–streamflow (Q) interaction can reduce model parameter uncertaintyInformation flows between P and Q reveal dominance of surface or subsurface quickflow processes on the streamflow signalP‐Q information flows are informative of subregional heterogeneity and seasonal changes in watershed connectivity [ABSTRACT FROM AUTHOR]

Using Integrated Postsecondary Education Data System (IPEDS) figures on the 96 Research Extensive Institution in academic year 2007-2008, we employ panel data from academic year 1984-1985 to 2007-2008 to identify revenue-expenditure relationships. Although we consider a wide range of functional expenditure categories, we focus our analysis on instructional and research expenditures because these categories tie most closely to the core missions of research universities. Results suggest tight relationships between some revenue and expenditure categories for some institutions. For public universities, these relationships tend to follow expected paths. For example, a large proportion of tuition revenues tend to be spent in the functional category of instruction. Private universities evidence a somewhat different pattern, with revenues generally expended in the pursuit of merit aid and research. This suggests that private universities strategically deploy revenues from a wide variety of sources to secure particular students and to conduct research activities. However, the ways in which universities and IPEDS classify faculty work raises some questions about the transparency of various categories, and suggests that some current conceptions of how revenues are expended on research and instruction functions may be less than straightforward. [ABSTRACT FROM AUTHOR]

Abstract: We examine the variation in employment levels of part-time faculty, full-time teaching faculty, and full-time professorial faculty across 4-year colleges and universities in the United States. Employment structures and practices in higher education institutions are determined by a variety of economic and institutional factors. For example, a 1% increase in the average salaries paid to professorial faculty increases the employment level of part-time faculty by 0.845%. A 1% increase in the average salaries paid to full-time teaching faculty reduces the employment level of full-time teaching faculty by 0.757%. Institutions located in large cities or suburban areas hire 31.3% more part-time faculty but 12.5% fewer full-time teaching faculty. Private institutions hire more part-time faculty than their public counterparts. A 10% increase in FTE student enrollment is associated with a 5.4% increase in the number of part-time faculty, a 10.1% increase in the number of full-time teaching faculty, and a 9.1% increase in professorial faculty. In addition, we find divergent patterns of temporal variability among these three types of faculty. While employment levels of full-time instructors and professorial faculty are rather consistent over time, there is a wide range of fluctuation in the employment of part-time faculty. Finally, the employment of part-time faculty is significantly affected by that of full-time teaching faculty. There is no substitution effect on the employment of professorial faculty. [Copyright &y& Elsevier]

Abstract: A bibliometric analysis based on Science Citation Index (SCI) published by Institute of Scientific Information (ISI) was carried out to identify the global research related to lead in drinking water field from 1991 to 2007 and to improve the understanding of research trends in the same period. The results from this analysis indicate that there have been an increasing number of annual publications mainly during two periods: from 1992 to 1997 and from 2004 to 2007. United States produced 37% of all pertinent articles followed by India with 8.0% and Canada with 4.8%. Science of the Total Environment published the most articles followed by Journal American Water Works Association and Toxicology. Summary of the most frequently used keywords are also provided. “Cadmium” was the most popular author keyword in the 17years. Furthermore based on bibliometric results four research aspects were summarized in this paper and the historical research review was also presented. [Copyright &y& Elsevier]

Background: Integrated care has gained popularity in recent decades and is advocated by the World Health Organization. This study examined the global progress, current foci, and the future of integrated care., Methods: We conducted a scientometric analysis of data exported from the Web of Science database. Publication number and citations, co-authorship between countries and institutions and cluster analysis were calculated and clustered using Histcite12.03.07 and VOS viewer1.6.4., Results: We retrieved 6127 articles from 1997 to 2016. We found the following. (1) The United States, United Kingdom, and Canada had the most publications, citations, and productive institutions. (2) The top 10 cited papers and journals were crucial for knowledge distribution. (3) The 50 author keywords were clustered into 6 groups: digital medicine and e-health, community health and chronic disease management, primary health care and mental health, healthcare system for infectious diseases, healthcare reform and qualitative research, and social care and health policy services., Conclusions: This paper confirmed that integrated care is undergoing rapid development: more categories are involved and collaborative networks are being established. Various research foci have formed, such as economic incentive mechanisms for integration, e-health data mining, and quantitative studies. There is an urgent need to develop performance measurements for policies and models., Competing Interests: The authors declare no conflicts of interest., (Thieme. All rights reserved.)

Over the last decade, the introduction of microarray technology has had a profound impact on gene expression research. The publication of studies with dissimilar or altogether contradictory results, obtained using different microarray platforms to analyze identical RNA samples, has raised concerns about the reliability of this technology. The MicroArray Quality Control (MAQC) project was initiated to address these concerns, as well as other performance and data analysis issues. Expression data on four titration pools from two distinct reference RNA samples were generated at multiple test sites using a variety of microarray-based and alternative technology platforms. Here we describe the experimental design and probe mapping efforts behind the MAQC project. We show intraplatform consistency across test sites as well as a high level of interplatform concordance in terms of genes identified as differentially expressed. This study provides a resource that represents an important first step toward establishing a framework for the use of microarrays in clinical and regulatory settings.

Microarray-based expression profiling experiments typically use either a one-color or a two-color design to measure mRNA abundance. The validity of each approach has been amply demonstrated. Here we provide a simultaneous comparison of results from one- and two-color labeling designs, using two independent RNA samples from the Microarray Quality Control (MAQC) project, tested on each of three different microarray platforms. The data were evaluated in terms of reproducibility, specificity, sensitivity and accuracy to determine if the two approaches provide comparable results. For each of the three microarray platforms tested, the results show good agreement with high correlation coefficients and high concordance of differentially expressed gene lists within each platform. Cumulatively, these comparisons indicate that data quality is essentially equivalent between the one- and two-color approaches and strongly suggest that this variable need not be a primary factor in decisions regarding experimental microarray design.