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Proposes how a global Hypermedia system could evolve from the “Hyper‐G” system, currently being developed at Graz University. Overviews the development of Internet from post‐war visionary speculation to present. Explains some limitations of the current architecture (World Wide Web, Gopher, WAIS). Presents in detail the architecture of a massively distributed hypermedia system. Explains how the proposed system would be much faster, overcoming such problems as documents being oriented by location rather than by subject. Suggests possible applications.

This paper reports on an Internet‐based system for hypermedia information discovery and retrieval and wide‐area distributed asynchronous collaboration designed and built at the National Center for Supercomputing Applications (NCSA). The system, called NCSA Mosaic, integrates cleanly into existing Internet protocols, formats, data sources, and environments, and provides powerful new capabilities for using and sharing information across the Internet.

The purpose of this work is to explore the new possibilities enabled by the recent introduction of RDF-star, an extension that allows for statements about statements within the Resource Description Framework (RDF). Alongside Named Graphs, this approach offers opportunities to leverage a meta-level for data modeling and data applications.

In this extended paper, the authors build onto three modeling use cases published in a previous paper: (1) provide provenance information, (2) maintain backwards compatibility for existing models, and (3) reduce the complexity of a data model. The authors present two scenarios where they implement the use of the meta-level to extend a data model with meta-information.

The authors present three abstract patterns for actively using the meta-level in data modeling. The authors showcase the implementation of the meta-level through two scenarios from our research project: (1) the authors introduce a workflow for triple annotation that uses the meta-level to enable users to comment on individual statements, such as for reporting errors or adding supplementary information. (2) The authors demonstrate how adding meta-information to a data model can accommodate highly specialized data while maintaining the simplicity of the underlying model.

Through the formulation of data modeling patterns with RDF-star and the demonstration of their application in two scenarios, the authors advocate for data modelers to embrace the meta-level.

With RDF-star being a very new extension to RDF, to the best of the authors’ knowledge, they are among the first to relate it to other meta-level approaches and demonstrate its application in real-world scenarios.

The FDIC Improvement Act of 1991 sets out five categories of capital and mandates corrective action for banks. Each bank based on its capital amount fall in the certain categories or states. The purpose of this paper is to consider the effect of banking regulations and supervisory practices on capital state transition.

First, the authors investigate how much the practices influence banks' capital adequacy using a dynamic panel data method, the generalized method of moments. Then, to scrutinize the results of the first phase, the authors estimate the effect of practices on some characteristics of capital state transition such as transition intensity, transition probability and state sojourn time using multi-state models for panel data in 107 developing countries over the period 2000 to 2012.

The dynamic regression results show that capital guidelines, supervisory power and supervisory structure can have significantly positive effects on the capital adequacy state. Moreover, the multi-state Markov panel data model estimation results show that the significantly positive-effect practices can change the capital state transition intensity considerably; for example, they can transmit the critical-under-capitalized (the lowest) capital state of banks directly to a well or the adequate-capitalized (the highest) capital state without passing through middle states (under-capitalized and significantly-undercapitalized). Moreover, the results present some new evidence on transition probability and state sojourn time.

The main contribution of this paper, unlike the existing literature, is to consider the power of banking regulations and supervisory practices to improve the capital state using a multi-state Markov panel data model.

In school improvement studies, randomized experiments are rare. A special problem is the assignment to the experimental and control groups, taking into account the different starting conditions at the schools in terms of school improvement competencies. The purpose of this paper is to take the example of an intervention study conducted in Baden-Württemberg, Germany, the extent to which the challenges involved with a quasi-experimental design were addressed is examined.

The intervention study was conducted with 54 math teachers (experimental group: n=29; control group: n=25) and their grade 7 and 8 classes (n=1,054) at 13 secondary schools. It aimed to increase teacher cooperation on teaching for promotion of students’ self-regulated learning. T-tests, Mann-Whitney tests, ANOVA, multilevel regression analyses were conducted.

At the beginning of the intervention, the teachers in the two groups did not differ significantly in prior cooperation on teaching processes and in attitudes toward cooperation. However, they differed in prior cooperation on school framework conditions and teaching processes. The intervention was effective in increasing teachers’ cooperation intensity on instruction, and teachers’ attitude toward binding cooperation. However, teaching processes did not change depending on experimental or control group.

Teacher cooperation practice was assessed only by teachers’ self-report. No indicators on the quality of the cooperation among teachers were included.

The paper discusses the challenges and limitations of conducting intervention studies on school improvement. Implications for further research are given.

This paper fulfils an identified need to study how quasi-experimental designs can be implemented in intervention studies on school improvement.