Tracking the Emerging Church

While traditional denominations struggle to maintain their blanket coverage of the nation, there are discernable movements emerging, as part of the decentralization process, in the major population centers around the world – movements that are typically decentralized, spontaneous and grass-roots. They are particularly strong among the under 35s generations, although by no means confined to them. Churches identified with these new movements go by a number of names: “churches in emerging culture, “ “alternative worship,” “postmodern church,” “simple church,” “liquid church,” “organic church,” or simply “the emerging church.” Personally, we prefer the last mentioned, as, in our view, the church is always emerging because it is a “pilgrim” church and a “becoming” church until Jesus brings it to completion and perfection at his Second Coming. These emerging church movements are to be found both within traditional denominations as well as among new, independent networks

Tracking the Emerging Church

While traditional denominations struggle to maintain their blanket coverage of the nation, there are discernable movements emerging, as part of the decentralization process, in the major population centers around the world – movements that are typically decentralized, spontaneous and grass-roots. They are particularly strong among the under 35s generations, although by no means confined to them. Churches identified with these new movements go by a number of names: “churches in emerging culture, “ “alternative worship,” “postmodern church,” “simple church,” “liquid church,” “organic church,” or simply “the emerging church.” Personally, we prefer the last mentioned, as, in our view, the church is always emerging because it is a “pilgrim” church and a “becoming” church until Jesus brings it to completion and perfection at his Second Coming. These emerging church movements are to be found both within traditional denominations as well as among new, independent networks

“Follow the Leader”: A Centrality Guided Clustering and Its Application to Social Network Analysis

Within graph theory and network analysis, centrality of a vertex measures the relative importance of a vertex within a graph. The centrality plays key role in network analysis and has been widely studied using different methods. Inspired by the idea of vertex centrality, a novel centrality guided clustering (CGC) is proposed in this paper. Different from traditional clustering methods which usually choose the initial center of a cluster randomly, the CGC clustering algorithm starts from a “LEADER”—a vertex with the highest centrality score—and a new “member” is added into the same cluster as the “LEADER” when some criterion is satisfied. The CGC algorithm also supports overlapping membership. Experiments on three benchmark social network data sets are presented and the results indicate that the proposed CGC algorithm works well in social network clustering

Theology, News and Notes - Vol. 55, No. 03

Theology News & Notes was a theological journal published by Fuller Theological Seminary from 1954 through 2014.https://digitalcommons.fuller.edu/tnn/1163/thumbnail.jp

A Novel Model for DNA Sequence Similarity Analysis Based on Graph Theory

Determination of sequence similarity is one of the major steps in computational phylogenetic studies. As we know, during evolutionary history, not only DNA mutations for individual nucleotide but also subsequent rearrangements occurred. It has been one of major tasks of computational biologists to develop novel mathematical descriptors for similarity analysis such that various mutation phenomena information would be involved simultaneously. In this paper, different from traditional methods (eg, nucleotide frequency, geometric representations) as bases for construction of mathematical descriptors, we construct novel mathematical descriptors based on graph theory. In particular, for each DNA sequence, we will set up a weighted directed graph. The adjacency matrix of the directed graph will be used to induce a representative vector for DNA sequence. This new approach measures similarity based on both ordering and frequency of nucleotides so that much more information is involved. As an application, the method is tested on a set of 0.9-kb mtDNA sequences of twelve different primate species. All output phylogenetic trees with various distance estimations have the same topology, and are generally consistent with the reported results from early studies, which proves the new method\u27s efficiency; we also test the new method on a simulated data set, which shows our new method performs better than traditional global alignment method when subsequent rearrangements happen frequently during evolutionary history

Moving towards inclusive learning and teaching: A synthesis of recent literature

The need for inclusive and equitable approaches to teaching and learning is a persistent theme in recent literature. In spite of relatively widespread agreement about this objective, inclusion remains elusive, and opinions about how best to achieve it proliferate. To provide a landscape view of the field and offer recommendations for research and practice, this article provides a focussed review of literature connected to inclusive teaching and learning published since 2010. Drawing from a framework advanced by Hockings (2010), we synthesize key findings from recent scholarship and argue for the value of a whole-of-institution approach that considers the activities and interactions of educational actors operating at different institutional levels. We also extend this argument to consider the need for greater attention to factors that move beyond the individual institution and to advocate for further international research in particular

“Follow the Leader”: A Centrality Guided Clustering and Its Application to Social Network Analysis

Within graph theory and network analysis, centrality of a vertex measures the relative importance of a vertex within a graph. The centrality plays key role in network analysis and has been widely studied using different methods. Inspired by the idea of vertex centrality, a novel centrality guided clustering (CGC) is proposed in this paper. Different from traditional clustering methods which usually choose the initial center of a cluster randomly, the CGC clustering algorithm starts from a “LEADER”—a vertex with the highest centrality score—and a new “member” is added into the same cluster as the “LEADER” when some criterion is satisfied. The CGC algorithm also supports overlapping membership. Experiments on three benchmark social network data sets are presented and the results indicate that the proposed CGC algorithm works well in social network clustering

FAPRI 2004 U.S. and World Agricultural Outlook

Crop Production/Industries, Livestock Production/Industries,

Moving towards inclusive learning and teaching: A synthesis of recent literature

The need for inclusive and equitable approaches to teaching and learning is a persistent theme in recent literature. In spite of relatively widespread agreement about this objective, inclusion remains elusive, and opinions about how best to achieve it proliferate. To provide a landscape view of the field and offer recommendations for research and practice, this article provides a focussed review of literature connected to inclusive teaching and learning published since 2010. Drawing from a framework advanced by Hockings (2010), we synthesize key findings from recent scholarship and argue for the value of a whole-of-institution approach that considers the activities and interactions of educational actors operating at different institutional levels. We also extend this argument to consider the need for greater attention to factors that move beyond the individual institution and to advocate for further international research in particular

FAPRI 2006 U.S. and World Agricultural Outlook

The FAPRI 2006 U.S. and World Agricultural Outlook presents projections of world agricultural production, consumption, and trade under average weather patterns, existing farm policy, and policy commitments under current trade agreements and custom unions. Despite continued high energy prices, world economic growth is expected to remain strong in the coming decade, above 3% per annum. Other major drivers of the 2006 baseline include new bio-energy policies in several large countries, EU sugar policy reform, sanitary and phytosanitary (SPS) shocks in livestock and poultry markets, and movements in the exchange rate.Crop Production/Industries, International Relations/Trade, Livestock Production/Industries,