Christianity and the world situation

A sermon preached to the twenty-fifth graduating class of the Rice Institute by The Rt. Rev. Henry St. George Tucker, D.D., S.T.D., LL.D., Presiding Bishop of the Protestant Episcopal Church in the United States of America

The Lability and Relative Reactivities of Organic Radicals

Studies have been made of the rates of many reactions involving organometallic compounds, by means of the color test of Gilman and Schulze. These rate studies comprise: (1) the relative reactivities of a variety of compounds towards a typical organometallic compound; (2) the relative reactivities of a series of related compounds like nitriles or azo compounds with an organometallic compound; (3) and, the differences in rate of reaction of a series of organometallic compounds towards other compounds.. The same method has been used in a study of the effect of concentration, temperature and catalysts on reaction rates. Also, it has been shown to be of service in a study of the mechanism of reactions, like the two-stage conversion of esters to ketones to tertiary alcohols; and the lability and relative electronegativities of radicals

Unstable Identities: The European Court of Human Rights and the Margin of Appreciation

All legal systems work under a master narrative – the self-conception of most actors of the system itself. A master narrative is a short and simple story and it is the underlying premise upon which any legal system is based. It is a simple story because it paints the system in quick broad brushstrokes and at (most) times is oblivious to the paradoxes within it. Furthermore, a master narrative is important for legitimization purposes because the actors’ legitimacy will depend on their (perceived) conformity with the system’s master narrative. Therefore, legitimacy is self-referential; the yardsticks for a legitimate action are contained within the system’s master narrative, not outside of it. When talking about different international courts it is important to remember that they are embedded within a master narrative that is contextual and contingent and, at different points, more or less contested. This paper explores the question of what happens when the master-narrative is in a period of transition (from a state cantered to a post-national world order) and when the actors’ legitimacy, their interpretative endeavours the very fundamentals are in a state of flux. I use the margin of appreciation discussion as a focal point of describing the conflicting narratives under which the European Court of Human Rights works, narratives in which the different actors (judges, attorneys, NGO activists, government agents) and their consequences in terms of the interpretation of the European Convention on Human Rights

KOMPRESI OPTIMUM DENGAN ADAPTIF REGION of INTEREST (RoI) MENGGUNAKAN TEKNIK STT-COMP UNTUK APLIKASI MOBILE EYES TELEMEDICINE OPTIMUM COMPRESSION with ADAPTIVE REGION of INTEREST (RoI) Using STT-Comp FOR MOBILE EYES TELEMEDICINE

ABSTRAKSI: Kebutuhan terhadap media penyimpanan dan bandwidth yang kecil menjadi sebuah trend yang sangat penting pada saat sejumlah data citra digital disimpan atau ditransmisikan. Untuk mengatasi hal tersebut dapat dilakukan dengan mengkompresi citra digital sebelum disimpan atau ditransmisikan, dan melakukan dekompresi terhadap data terkompresi pada saat ditampilkan kembali atau setelah transmisi dilakukan. Namun bila ditelusuri lebih detail, dalam suatu citra khususnya citra mata, ada area tertentu yang sangat penting untuk analisa dan ada juga area yang tidak terlalu dibutuhkan. Pada thesis ini penulis mengembangkan konsep Adaptif Region of Interest (RoI) untuk mengatasi hal tersebut. Kompresi ini menggunakan metode kompresi yang berbasis DCT (Discrete Cosine Transform) dan kuantisasi skalar. Diharapkan dengan adanya penerapan RoI dapat memperkecil besarnya data yang dikirim namun tidak mempengaruhi kualitas citra tersebut untuk dianalisa ditujuan. Untuk melihat keberhasilan penerapan kompresi adaptif RoI pada saat implementasi maka akan dilakukan pengukuran MSE (Mean Sequare Error), PSNR (Peak Signal to Noise Ratio) dan rasio kompresi pada citra hasil kompresi.Kata Kunci : kompresi citra, Discrete Cosine Transform(DCT),Region of Interes (RoI), adaptif RoI, kuantisasi skalarABSTRACT: Requirement to storage and small bandwidth become a trend which of vital importance at the time of an amount digital data was kept or transmited. For overcome of that, conducted with digital citra compression before it was kept or transmited, and decompression of compression data at the time of represented or after transmission conducted. But if traced more detail, in an citra specially eye citra, there is certain area which vital importance to analyse and there is also area which not too required. At this thesis developed by Adaptif Region Of Interest ( RoL) concept to overcome it. This compression use compression method being based on DCT ( Discrete Cosine Transform) and the scalar quantization. Expected with existence of applying RoI earn to minimize the level of sent data but don’t influence the quality of citra to be analysed in target. To see efficacy of applying of adaptif RoI compression at the time of implementation hence will be conducted by measurement MSE ( Mean Sequare Error), PSNR ( Peak Signal To Noise Ratio) and ratio compression at compression result citra.Keyword: citra compression, Discrete Cosine Transform(DCT),Region of Interes (RoI), adaptif RoI, scalar quantizatio

Fantasizing with Dual GPs in Bayesian Optimization and Active Learning

Gaussian processes (GPs) are the main surrogate functions used for sequential modelling such as Bayesian Optimization and Active Learning. Their drawbacks are poor scaling with data and the need to run an optimization loop when using a non-Gaussian likelihood. In this paper, we focus on `fantasizing' batch acquisition functions that need the ability to condition on new fantasized data computationally efficiently. By using a sparse Dual GP parameterization, we gain linear scaling with batch size as well as one-step updates for non-Gaussian likelihoods, thus extending sparse models to greedy batch fantasizing acquisition functions.Comment: In the 2022 NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making System

A Comparison of Two Shallow Water Models with Non-Conforming Adaptive Grids: classical tests

In an effort to study the applicability of adaptive mesh refinement (AMR) techniques to atmospheric models an interpolation-based spectral element shallow water model on a cubed-sphere grid is compared to a block-structured finite volume method in latitude-longitude geometry. Both models utilize a non-conforming adaptation approach which doubles the resolution at fine-coarse mesh interfaces. The underlying AMR libraries are quad-tree based and ensure that neighboring regions can only differ by one refinement level. The models are compared via selected test cases from a standard test suite for the shallow water equations. They include the advection of a cosine bell, a steady-state geostrophic flow, a flow over an idealized mountain and a Rossby-Haurwitz wave. Both static and dynamics adaptations are evaluated which reveal the strengths and weaknesses of the AMR techniques. Overall, the AMR simulations show that both models successfully place static and dynamic adaptations in local regions without requiring a fine grid in the global domain. The adaptive grids reliably track features of interests without visible distortions or noise at mesh interfaces. Simple threshold adaptation criteria for the geopotential height and the relative vorticity are assessed.Comment: 25 pages, 11 figures, preprin