2,303,969 research outputs found

    House Price Prediction: Hedonic Price Model vs. Artificial Neural Network

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    The objective of this paper is to empirically compare the predictive power of the hedonic model with an artificial neural network model on house price prediction. A sample of 200 houses in Christchurch, New Zealand is randomly selected from the Harcourt website. Factors including house size, house age, house type, number of bedrooms, number of bathrooms, number of garages, amenities around the house and geographical location are considered. Empirical results support the potential of artificial neural network on house price prediction, although previous studies have commented on its black box nature and achieved different conclusions.Hedonic Model, Artificial Neural Network (ANN), House Price., Environmental Economics and Policy, Land Economics/Use, Research Methods/ Statistical Methods, C53, L74,

    Core Finding for Relational Structures

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    The computation of cores of relational structures has a variety of applications. In this project, we revise a core computation algorithm by Pichler and Savenkov, designed for the data exchange context, to work in a more general setting. Contributions to research from this project include the observation that the previous algorithm by Pichler and Savenkov may not work when disjunctions are present in theories, a revised algorithm for the new setting, and an implementation of the algorithm in Haskell. We use signature testing as a heuristic to improve the running time of the algorithm

    THE EXPECTATION OF IP DISPUTES DATABASE

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    Molecular simulation of surface-modified polymer vesicle designed for gene and drug delivery

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    โครงการหนึ่งอาจารย์หนึ่งผลงาน ประจำปี 254

    EFEKTIVITAS TEKNIK BERMAIN PERAN UNTUK MENINGKATKAN EMPATI SISWA KELAS VIII DI SMP NEGERI 3 KALASAN, SLEMAN, YOGYAKARTA

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    Penelitian ini berdasarkan observasi terhadap siswa SMP yang menunjukkan perilaku saling mengejek antar siswa, perkelahian, dan tidak memperhatikan guru ketika pelajaran berlangsung. Oleh karena itu, tujuan penelitian ini untuk menguji keefektivan teknik bermain peran untuk meningkatkan empati siswa. Metode yang digunakan dalam penelitian ini adalah eksperimen dengan desain pretest-postest. Subjek penelitian adalah 40 siswa kelas VIII SMP Negeri 3 Kalasan yang diambil menggunakan purposive sampling. Dari 40 siswa dibagi menjadi 2 kelompok yaitu 20 siswa kelompok kontrol dan 20 siswa kelompok eksperimen. Alat ukur yang digunakan adalah skala empati. Teknik analisis data yang digunakan dalam penelitian ini menggunakan uji wilcoxon. Berdasarkan uji wilcoxon antara hasil pengukuran awal kelompok kontrol dan kelompok eksperimen diketahui nilai signifikansi 0,717<0,05, hasil pengukuran akhir kelompok kontrol dan kelompok eksperimen diketahui nilai signifikansi 0,001<0,05, hasil pengukuran awal dan pengukuran akhir kelompok eksperimen diketahui nilai signifikansi 0,000<0,05 dan hasil pengukuran awal dan pengukuran akhir kelompok kontrol diketahui nilai signifikansi 0,004<0,05. Dengan demikian teknik bermain peran efektif dalam meningkatkan empati siswa. Berdasarkan hasil penelitian yang telah diperoleh teknik bermain peran dapat dijadikan pertimbangan guru BK maupun guru mata pelajaran dalam menyampaikan materi kepada siswa. Kata kunci: bermain peran, empati, siswa kelas VII

    Factors Affecting Pure Orange Juice Purchasing Decisions of Consumers

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    This paper analyzes factors affecting pure orange juice purchasing decisions of consumers in Bangkok Metropolitan area. The data used in this research were from interviewing 400 consumers in Bangkok Metropolitan area who used to buy pure orange juice. The data were collected during September to October 2008. The descriptive analysis techniques and Conjoint Analysis were applied. The results showed that certificate of standard and quality assurance was the most important factor which influences pure orange juice purchasing decisions of consumers followed by nutrition and price factors, respectively. Types of oranges and packaging were relatively insignificant factors affecting the consumer’s decisions.Orange Juice, Conjoint Analysis, Consumers’ Preferences

    Sequences of Frustration and Confusion, and Learning

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    We use sensor-free affect detection and a discovery with models approach to explore the relationship between affect over varying durations and learning outcomes among students using Cognitive Tutor Algebra. Researchers have suggested that the affective state of confusion can have positive effects on learning as long as students can resolve the confusion, and recent research seems to accord with this hypothesis. However, there is room for concern that some of this earlier work may have conflated frustration and confusion. We replicate these analyses using sensor-free automated detectors trained to distinguish the two affective states. Our analyses suggest that the effect may be stronger for frustration than confusion, but is strongest when these two affective states are taken together

    Spectrum clients visit Bangladesh

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    The Clean Clothes Campaign’s fifth update regarding the Spectrum factory collapse summarizes the results of visit to Bangladesh by various companies, trade unions, and labor organizations

    Report on the Sacred Heart University Participation in the ACE Internationalization Laboratory By the American Council on Education Peer Review Visit Team February 25-27, 2015

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    This report is based on a visit to Sacred Heart University (SHU) by an American Council on Education (ACE) peer review team on February 25-27, 2015. This report also draws upon the document Internationalization Self-Study (December 2014) provided to the peer review team in advance
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