Alternative Strategies for Thermoelectric Materials Development

Abstract Machine learning is becoming a valuable tool for scientific discovery. Particularly attractive is the application of machine learning methods to the field of materials development, which enables innovations by discovering new and better functional materials. To apply machine learning to actual materials development, close collaboration between scientists and machine learning tools is necessary. However, such collaboration has been so far impeded by the black box nature of many machine learning algorithms. It is often difficult for scientists to interpret the data-driven models from the viewpoint of material science and physics. Here, we demonstrate the development of spin-driven thermoelectric materials with anomalous Nernst effect by using an interpretable machine learning method called factorized asymptotic Bayesian inference hierarchical mixture of experts (FAB/HMEs). Based on prior knowledge of material science and physics, we were able to extract from the interpretable machine learning some surprising correlations and new knowledge about spin-driven thermoelectric materials. Guided by this, we carried out an actual material synthesis that led to the identification of a novel spin-driven thermoelectric material. This material shows the largest thermopower to date.

Download Full-text

Individual Differences in Mental Rotation

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000184 ◽

2013 ◽

Vol 60 (3) ◽

pp. 164-171 ◽

Cited By ~ 20

Author(s):

Peter Khooshabeh ◽

Mary Hegarty ◽

Thomas F. Shipley

Keyword(s):

Individual Differences ◽

Mental Rotation ◽

Response Times ◽

Task Demands ◽

Mental Rotation Task ◽

Imagery Ability ◽

Alternative Strategies

Two experiments tested the hypothesis that imagery ability and figural complexity interact to affect the choice of mental rotation strategies. Participants performed the Shepard and Metzler (1971) mental rotation task. On half of the trials, the 3-D figures were manipulated to create “fragmented” figures, with some cubes missing. Good imagers were less accurate and had longer response times on fragmented figures than on complete figures. Poor imagers performed similarly on fragmented and complete figures. These results suggest that good imagers use holistic mental rotation strategies by default, but switch to alternative strategies depending on task demands, whereas poor imagers are less flexible and use piecemeal strategies regardless of the task demands.

Download Full-text

ANALISIS KINERJA STRATEGI PEMASARAN USAHA KERAJINAN KETAK DI KABUPATEN LOMBOK TENGAH

Jurnal Ilmu Pemerintahan Suara Khatulistiwa ◽

10.33701/jipsk.v3i2.294 ◽

2018 ◽

Vol 3 (2) ◽

Author(s):

H.L Ahmad Murdani

Keyword(s):

Product Market ◽

Horizontal Merger ◽

Case Method ◽

Alternative Strategies ◽

Market Expansion ◽

Descriptive Research ◽

Method Approach

Ketak handicraft is one of any other superior handicraft in Lombok Tengah Regency, as one of any other revenue generator for Lombok Tengah regency and to increase the prosperity of people in this industry, it is needed to find out the ways and strategies to improve the performance of this business. This research was categorized as a descriptive research which used case method approach, it was aimed to find out the position of ketak handicraft among handicraft industry in Lombok Tengah based on recent performance and to identify alternative strategies which can be chosen in order to improve the performance of this industry. In order to find out the position of ketak handicraft business, it was used BCG Agam analysis and based on this position the strategy for improving this business was selected based on this analysis, the position of third business was in the stars position, where alternative strategies that can be chosen were: (a) development of the existing product (market expansion for the existing product); (b) diversification; (c) horizontal merger. Suggestion recommended was to apply one of these strategies based on analysis that had been conducted.

Download Full-text

Energy Challenges and Optimization of Figure of Merit for Thermoelectric Materials

International Journal of Innovative Research in Science Engineering and Technology ◽

10.15680/ijirset.2014.0310010 ◽

2014 ◽

Vol 03 (10) ◽

pp. 16475-16479

Author(s):

ASHAQ HUSSAIN SOFI ◽

BAASIT ABUBAKR ◽

ANIL MAINI ◽

MOHAMMAD ASHRAF SHAH

Keyword(s):

Thermoelectric Materials ◽

Figure Of Merit

Download Full-text

Reading Materials Development through Task-Based Language Instruction Approach for Business Administration Students

LINGUISTIK TERAPAN ◽

10.24114/lt.v12i2.2915 ◽

2015 ◽

Vol 12 (2) ◽

Author(s):

Citra Hasan ◽

Busmin Gurning ◽

Amrin Saragih

Keyword(s):

Business Administration ◽

Language Instruction ◽

Learning Needs ◽

Business English ◽

Materials Development ◽

Need Analysis ◽

Basic Competencies ◽

Business Administration Students ◽

Instruction Approach ◽

Administration Students

This research aims to develop the materials of reading by conducting need analysis in order to meet the needs of business administration students. The method of research was a research and development (R&D) by Borg and Gall which are modified in to three main cycles, namely: evaluation and needs assessment, materials development, and materials validation. The study found that the existing materials of reading II are not match with the needs analysis result. Thus, the researcher added 13 more basic competencies of the syllabus and materials of reading related to the learners needs and learning needs. Keywords: Business English; Materials; Reading; Task-Based Language Instruction Approach

Download Full-text

Corpus Research Applications in Second Language Teaching: A Look into Corpus-informed Materials Development

International Journal of Modern Languages And Applied Linguistics ◽

10.24191/ijmal.v4i2.9449 ◽

2020 ◽

Vol 4 (2) ◽

pp. 15

Author(s):

Norwati Roslim ◽

Muhammad Hakimi Tew Abdullah ◽

Anealka Aziz ◽

Vahid Nimehchisalem ◽

Azhani Almuddin

Keyword(s):

Second Language ◽

Language Learning ◽

Corpus Linguistics ◽

Teaching Materials ◽

Materials Development ◽

Practical Applications ◽

Reference Grammar ◽

Corpus Studies ◽

Reference Corpus ◽

Clear Guideline

Numerous corpus studies have suggested that teaching materials design could greatly benefit from the empirical information about language use provided by corpus linguistics. In spite of the awareness that corpus-based research can offer valuable insights for materials development, still relatively small number of studies report on the practical applications of corpus data for teaching materials development. There is no clear guideline or framework on how corpora and corpus studies could assist in developing teaching materials. Hence, this study focusses on one grammatical item which poses problems to Malaysian learners, that is, prepositions. The objectives are (i) to identify prepositions in the British National Corpus as a reference corpus and the descriptions offered by linguists and grammarians as a reference grammar, and (ii) to provide a framework to use reference corpus, reference grammar and corpus-based research, as a resource for developing materials in the teaching of prepositions. In order to meet the objectives, content analysis was used as the methodology throughout this study. The findings showed that reference corpus, reference grammar and corpus-based research could be used systematically as guidance to develop corpus-informed materials. It is hoped that this contribution of knowledge could have an impact on second language learning-teaching.

Download Full-text