A Framework for Monitoring Capital Flows in Hong Kong

In this paper we attempt to delineate conceptual issues relating to the definition of capital flows, and introduce a framework that organises survey data and accounting information at different time horizons to form a judgment on the nature and scale of fund flows in Hong Kong. Given the complexity of international financial transactions in Hong Kong, cross-border capital flows may not correspond closely to fund flows into and out of the Hong Kong dollar. A comprehensive view on the scale and nature of capital flows in Hong Kong requires the joint analysis of both monetary and Balance of Payments statistics, in addition to information gathered through market intelligence. We then apply the monitoring framework to analyse four episodes of large fund flows between 2003 and mid-2009.Capital flows; Fund flows; Hong Kong; Balance of Payments; External claims and liabilities of banks; Monetary Survey

Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification

We consider the cross-domain sentiment classification problem, where a sentiment classifier is to be learned from a source domain and to be generalized to a target domain. Our approach explicitly minimizes the distance between the source and the target instances in an embedded feature space. With the difference between source and target minimized, we then exploit additional information from the target domain by consolidating the idea of semi-supervised learning, for which, we jointly employ two regularizations -- entropy minimization and self-ensemble bootstrapping -- to incorporate the unlabeled target data for classifier refinement. Our experimental results demonstrate that the proposed approach can better leverage unlabeled data from the target domain and achieve substantial improvements over baseline methods in various experimental settings.Comment: Accepted to EMNLP201

Selective Equal-Spin Andreev Reflections Induced by Majorana Fermions

In this work, we find that Majorana fermions induce selective equal spin Andreev reflections (SESARs), in which incoming electrons with certain spin polarization in the lead are reflected as counter propagating holes with the same spin. The spin polarization direction of the electrons of this Andreev reflected channel is selected by the Majorana fermions. Moreover, electrons with opposite spin polarization are always reflected as electrons with unchanged spin. As a result, the charge current in the lead is spin-polarized. Therefore, a topological superconductor which supports Majorana fermions can be used as a novel device to create fully spin-polarized currents in paramagnetic leads. We point out that SESARs can also be used to detect Majorana fermions in topological superconductors.Comment: 5 pages, 3 figures. Comments are welcome. Title changed to match published versio

建築物生命週期碳排放分析之發展

The artilce can be viewed at: http://www.tcea168.com.tw/075366270/images/files/10956.pdf建造業作為全球碳排放的主要來源之一，在 全球節能減排的趨勢下將發揮舉足輕重的作 用。近年來，爲了推行綠色環保建築，各國 都在積極地發展綠色建築評審標準和認證體 系。然而，這些標準和認證體系很少提及建 築材料和建築設備在生命週期內的碳排放量。 由於缺乏相關的量化和評核基準，建造業在 減少能耗，循環再造等減碳的發展方向上勢 必會受到極大的限制。 本文開頭介紹了相關的綠色建築評審標準和 認證體系，並闡述了這些體系的重點和理念。 由於目前世界上並沒有一個得到廣泛認可和 應用的建築物碳排放計算標準，本文引入了 生命週期分析法（LCA），並重點闡述了其 在建築項目應用時如何設定一個合適的界限 （boundary）。文章亦簡介了一個評估建築 物料隱含碳足蹟的平台，以及碳排放分析在 應用上存在的一些潛在困難。我們希望可以 藉此研究，把建築物的生命週期碳排放分析 和綠色建築評審互相融合，從而為建築項目 由設計、建造到拆卸提供一個更加全面和有 效的環境影響分析評估。這樣也可以幫助業 主或發展商在節能減排方面提供最佳方案

The Correlation between Dispersion Measure and X-Ray Column Density from Radio Pulsars

published_or_final_versio

Poly[diaqua­(μ3-succinato)cadmium(II)]

The title compound, [Cd(C4H4O4)(H2O)2]n, has been synthesized under hydro­thermal conditions. The asymmetric unit consists of one Cd2+ cation, one succinate anion and two aqua ligands. The Cd atoms present a distorted penta­gonal bipyramidal coordination and are bridged into layers parallel to (201) by succinate ligands

para-Selective C-H amidation of simple arenes with nitriles

A para-selective C-H amidation of simple arenes with nitriles has been developed. By increasing the amount of arenes, a further meta-selective C-H arylation of the produced amides occurred. Both steric and electronic effects are utilized to control the selectivity, resulting in only para-selective amidation products. The readily available nitriles as amidation reagents instead of amides makes the synthesis of N-arylamides more accessible

Semi-blind CFO, channel estimation and data detection for ofdm systems over doubly selective channels

Proceedings of the IEEE International Symposium on Circuits and Systems, 2010, p. 1887-1890Semi-blind joint CFO, channel estimation and data detection for OFDM systems over doubly selective channels (DSCs) is investigated in this work. A joint iterative algorithm is developed based on the maximum a posteriori expectation-maximization (MAP-EM) algorithm. In addition, a novel algorithm is also proposed to obtain the initial estimates of CFO and channels. Simulation results show that the performance of the proposed CFO and channel estimators approaches to that of the estimators with full training at high SNRs. Moreover, after convergence, the performance of data detection is close to the ideal case with perfect CFO and channel state information. ©2010 IEEE.published_or_final_versionThe IEEE International Symposium on Circuits and Systems (ISCAS), Paris, France, 30 May-2 June 2010. In Proceedings of ISCAS, 2010, p. 1887-189

Semiblind iterative data detection for OFDM systems with CFO and doubly selective channels

Data detection for OFDM systems over unknown doubly selective channels (DSCs) and carrier frequency offset (CFO) is investigated. A semiblind iterative detection algorithm is developed based on the expectation-maximization (EM) algorithm. It iteratively estimates the CFO, channel and recovers the unknown data using only limited number of pilot subcarriers in one OFDM symbol. In addition, efficient initial CFO and channel estimates are also derived based on approximated maximum likelihood (ML) and minimum mean square error (MMSE) criteria respectively. Simulation results show that the proposed data detection algorithm converges in a few iterations and moreover, its performance is close to the ideal case with perfect CFO and channel state information. © 2010 IEEE.published_or_final_versio