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Given the current marginalization of social studies education in schools, this paper explores the social studies centered community-school model of Elsie Ripley Clapp, who was a significant educator, scholar, and leader within progressive education. A former graduate assistant of John Dewey, Clapp put progressive pedagogical ideology into practice in the 1920s and 1930s through her curriculum development and administrative leadership in rural schools such as: the Ballard School in Kentucky and the Arthurdale Schools in West Virginia. She developed a social studies focused, experiential curriculum rooted in her vision of schools as democratic spaces. First, biographical information about Clapp’s life, educational experiences, and commitment to social justice is provided. Second, Clapp’s community school model at the Ballard School is explored. The model, which united people across social class and centered on local history, geography, and economics, provides implications for how we might re-envision our current approaches to social studies education.

This study compares parallel philosophies of the work of American educator John Dewey in Art as Experience and the arts infused educational approach of the Reggio Emilia Schools of Italy.

This historical and contemporary comparative, cross-cultural analysis explores educational approaches that incorporate the arts in the process of learning and the use of democratic processes in collaborative learning approaches. Data sources include primary source historical documents, field observations, interviews, and primary source educational materials.

Similarities are identified across cultures and time in the examples analyzed for commonalities including arts creation as central to the processes of learning, democratic processes in collaborative project learning experiences, community involvement as an integral part of the learning processes, and imagination and communication as consistent elements in the experiences of the school. This study provides a historical and contemporary context for the cross-cultural analysis of the use of art in the learning processes as described by American educator John Dewey and the educators in the Reggio Emilia schools of Italy.

Determining the proper sample size and frequency of sampling such that quality is assured while financial losses are not unnecessarily incurred is critical to an effective quality program. The main purpose of the present work is to design a fuzzy controller to adjust sample sizes and frequency of sampling according to potential fuzzy benefit/loss. A set of fuzzy rules is given where, depending on the antecedents, the sample size and/or sampling frequency may be decreased, remain static or be increased. At any given moment the proportion of defects in the sample determines the firing strength of the rules suggesting an appropriate sample size and sampling frequency. The firing strength is then modified to include an analysis of the decision maker’s belief that as sampling takes place and adjustments are being considered benefit or loss would be incorporated prior to any action or adjustment to sample size and/or frequency.

The current studies on remaining useful life (RUL) prediction mainly rely on convolutional neural networks (CNNs) and long short-term memories (LSTMs) and do not take full advantage of the attention mechanism, resulting in lack of prediction accuracy. To further improve the performance of the above models, this study aims to propose a novel end-to-end RUL prediction framework, called convolutional recurrent attention network (CRAN) to achieve high accuracy.

The proposed CRAN is a CNN-LSTM-based model that effectively combines the powerful feature extraction ability of CNN and sequential processing capability of LSTM. The channel attention mechanism, spatial attention mechanism and LSTM attention mechanism are incorporated in CRAN, assigning different attention coefficients to CNN and LSTM. First, features of the bearing vibration data are extracted from both time and frequency domain. Next, the training and testing set are constructed. Then, the CRAN is trained offline using the training set. Finally, online RUL estimation is performed by applying data from the testing set to the trained CRAN.

CNN-LSTM-based models have higher RUL prediction accuracy than CNN-based and LSTM-based models. Using a combination of max pooling and average pooling can reduce the loss of feature information, and in addition, the structure of the serial attention mechanism is superior to the parallel attention structure. Comparing the proposed CRAN with six different state-of-the-art methods, for the predicted results of two testing bearings, the proposed CRAN has an average reduction in the root mean square error of 57.07/80.25%, an average reduction in the mean absolute error of 62.27/85.87% and an average improvement in score of 12.65/6.57%.

This article provides a novel end-to-end rolling bearing RUL prediction framework, which can provide a reference for the formulation of bearing maintenance programs in the industry.

Man has been seeking an ideal existence for a very long time. In this existence, justice, love, and peace are no longer words, but actual experiences. How ever, with the American preemptive invasion and occupation of Afghanistan and Iraq and the subsequent prisoner abuse, such an existence seems to be farther and farther away from reality. The purpose of this work is to stop this dangerous trend by promoting justice, love, and peace through a change of the paradigm that is inconsistent with justice, love, and peace. The strong paradigm that created the strong nation like the U.S. and the strong man like George W. Bush have been the culprit, rather than the contributor, of the above three universal ideals. Thus, rather than justice, love, and peace, the strong paradigm resulted in in justice, hatred, and violence. In order to remove these three and related evils, what the world needs in the beginning of the third millenium is the weak paradigm. Through the acceptance of the latter paradigm, the golden mean or middle paradigm can be formulated, which is a synergy of the weak and the strong paradigm. In order to understand properly the meaning of these paradigms, however, some digression appears necessary.

Gives an in depth view of the strategies pursued by the world’s leading chief executive officers in an attempt to provide guidance to new chief executives of today. Considers the marketing strategies employed, together with the organizational structures used and looks at the universal concepts that can be applied to any product. Uses anecdotal evidence to formulate a number of theories which can be used to compare your company with the best in the world. Presents initial survival strategies and then looks at ways companies can broaden their boundaries through manipulation and choice. Covers a huge variety of case studies and examples together with a substantial question and answer section.

In this article, the fifth in a series on microcomputer software for information storage and retrieval, test results of seven programs are presented and various properties and qualities of these programs are discussed. In this instalment of the series we discuss programs for information storage and retrieval which are primarily characterised by the properties of personal information managers (PIMs), hypertext programs, or best match and ranking retrieval systems. The programs reviewed in this issue are the personal information managers 3by5/RediReference, askSam, Dayflo Tracker, and Ize; Personal Librarian uses best match and ranking; the hypertext programs are Folio Views and the HyperKRS/HyperCard combination (askSam, Ize and Personal Librarian boast hypertext features as well). HyperKRS/HyperCard is only available for the Apple Macintosh. All other programs run under MS‐DOS; versions of Personal Librarian also run under Windows and some other systems. For each of the seven programs about 100 facts and test results are tabulated. The programs are also discussed individually.