Mu-Tao Chang, viola and Ya-Lin Huang, piano, March 24, 2016

This is the concert program of the Mu-Tao Chang, viola and Ya-Lin Huang, piano performance on Friday, March 24, 2017 at 6:30 p.m., at the Marshall Room, 855 COmmonwealth Avenue. Works performed were Sonata No. 1 for Viola and Piano, H355 by Bohuslav Martinu, Sonata for Viola and Piano, Op. 11-4 by Paul Hindemith, and Rhapsody-Concerto for Viola and Orchestra by B. Martinu. Digitization for Boston University Concert Programs was supported by the Boston University Humanities Library Endowed Fund

Efektivitas Kitab Al-‘Arabiyyah Li Al-Nāsyi`īn untuk Meningkatkan Mahārah Qirā`ah dan Kalām di Kelas 1 Marḥalah 2 Madrasah Diniyah Nurul Ummah Putri Kotagede Yogyakarta

Kitab merupakan faktor non linguistik dalam pembelajaran bahasa Arab, yang berperan mendukung peningkatan keterampilan berbahasa yaitu istima’, kalam, qira’ah dan kitabah. Tujuan penelitian ini adalah mengetahui efektivitas kitab Al-Arabiyyah Lin Nāsyi’īn jilid 2 dalam pembelajaran bahasa Arab untuk meningkatkan maharatul qira’ah dan kalam di kelas 1 Marhalah 2 Madrasah Diniyah Nurul Ummah Putri. Penelitian ini merupakan penelitian lapangan yang dilaksanakan di Madrasah Diniyah Nurul Ummah Putri dengan pendekatan pre-experimental dan jenis penelitian kuantitatif. Instrumen penelitian yang digunakan terdiri dari tes, wawancara, observasi dan dokumentasi. Hasil penelitian menunjukkan proses pembelajaran bahasa Arab menggunakan kitab Al-Arabiyyah Lin Nāsyi’īn jilid 2 untuk meningkatkan maharatul qira’ah dan kalam di kelas 1 Marhalah 2 berjalan efektif. Efektivitas kitab Al-Arabiyyah Lin Nāsyi’īn jilid 2 untuk meningkatkan maharatul qira’ah di kelas 1 Marhalah 2 A termasuk dalam kategori cukup, sedangkan di kelas 1 Marhalah 2 B termasuk dalam kategori sangat baik. Efektivitas kitab Al-Arabiyyah Lin Nāsyi’īn jilid 2 untuk meningkatkan maharatul kalam di kelas 1 Marhalah 2 A termasuk dalam kategori sangat baik, sedangkan kelas 1 Marhalah 2 B termasuk dalam kategori cukup

Lengthening and Extending Binary Private Information Retrieval Codes

It was recently shown by Fazeli et al. that the storage overhead of a traditional $t$-server private information retrieval (PIR) protocol can be significantly reduced using the concept of a $t$-server PIR code. In this work, we show that a family of $t$-server PIR codes (with increasing dimensions and blocklengths) can be constructed from an existing $t$-server PIR code through lengthening by a single information symbol and code extension by at most $\bigl\lceil t/2\bigr\rceil$ code symbols. Furthermore, by extending a code construction notion from Steiner systems by Fazeli et al., we obtain a specific family of $t$-server PIR codes. Based on a code construction technique that lengthens and extends a $t$-server PIR code simultaneously, a basic algorithm to find good (i.e., small blocklength) $t$-server PIR codes is proposed. For the special case of $t=5$, we find provably optimal PIR codes for code dimensions $k\leq 6$, while for all $7\leq k\leq 32$ we find codes of smaller blocklength than the best known codes from the literature. Furthermore, in the case of $t = 8$, we also find better codes for $k = 5, 6, 11, 12$. Numerical results show that most of the best found $5$-server PIR codes can be constructed from the proposed family of codes connected to Steiner systems.Comment: The shorter version of this paper will appear in the proceedings of 2018 International Zurich Seminar on Information and Communicatio

Chow-Lin Methods in Spatial Mixed Models

Missing data in dynamic panel models occur quite often since detailed recording of the dependent variable is often not possible at all observation points in time and space. In this paper we develop classical and Bayesian methods to complete missing data in panel models. The Chow-Lin (1971) method is a classical method for completing dependent disaggregated data and is successfully applied in economics to disaggregate aggregated time series. We will extend the space-time panel model in a new way to include cross-sectional and spatially correlated data. The missing disaggregated data will be obtained either by point prediction or by a numerical (posterior) predictive density. Furthermore, we point out that the approach can be extended to more complex models, like ow data or systems of panel data. The panel Chow-Lin approach will be demonstrated with examples involving regional growth for Spanish regions.Space-time interpolation, Spatial panel econometrics, MCMC, Spatial Chow-Lin, missing regional data, Spanish provinces, MCMC, NUTS: nomenclature of territorial units for statistics