118,805 research outputs found
The urban geology of Hong Kong
published_or_final_versionPreface vContributors xiThe role of the geological model in the urban development of Hong Kong C.J.N. Fletcher, S.D.G. Campbell, P.A. Kirk, S. Parry, R.J. Sewell, X.C. Li, K.W. Lai and Y.S. Liu Fletcher, C. J. N. Campbell, S. D. G. Kirk, P. A. Sewell, R. J. Li, X. C. Lai, K. W. Liu, Y. S. 1The contribution of geology to the engineering of Hong Kong International Airport Pinches, G. Tosen, R. Thompson, J. 21Anticipating geotechnical problems S. Hencher and G. Daughton Hencher, S. Daughton, G. 43Managing ground risks C.M. Tse Tse, C. M. 63Scarp morphology and development associated with a large compound retrogressive landslide at Lai Ping Road, Hong Kong N.P. Koor, S.D.G. Campbell, H.W. Sun and K.K.S. Ho Koor, N. P. Campbell, S. D. G. Sun, H. W. Ho, K. K. S. 77Adverse ground conditions at Tung Chung New Town P.A. Kirk Kirk, P. A. 89Engineering geological and geomorphological aspects of the Western Foothills, Tuen Mun G.R. Taylor Taylor, G. R. 99Natural geochemistry and contamination of marine sediments in Hong Kong P.G.D. Whiteside Whiteside, P. G. D. 109The origin and variability of suspended sediment in Hong Kong's marine waters S. Parry Parry, S. 123Quarrying in Hong Kong: current and future situation T.S.K. Lam and K.L. Siu Lam, T. S. K. Siu, K. L. 141Weathering profile development over volcanic rocks in the Tuen Mun Valley, Hong Kong R.B. Owen and R. Shaw Owen, R. B. Shaw, R. 153Archaeology and geology in Hong Kong's development urban environment P. Rumball Rogers Rogers, P. Rumball 171Magnetic survey of the offshore areas of Hong Kong: results, interpretation and significance C.J.N. Fletcher, F.A. Collar and M.W.C. Lai Fletcher, C. J. N. Collar, F. A. Lai, M. W. C. 179Geophysical and radiometric properties of weathered saprolites in Hong Kong L.S. Chan and M.Q. Chen Chan, L. S. Chen, M. Q. 189Towards sustainable coastal development in Hong Kong W.W.S. Yim Yim, W. W. S. 20
Improving research in palliative care in Hong Kong
Research is the foundation of clinical practice, policy-making, and education in palliative care. However, quality palliative care research remains insufficient in Hong Kong,
hindered by several barriers. This article highlights the importance of randomized controlled trials and identifies strategies to improve research in palliative care in Hong
Kong.link_to_OA_fulltex
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Hong Kong: workfare in the world's freest economy
Workfare was introduced in many countries to suppress welfare dependency and reduce social security expenditures. However, workfare was launched in Hong Kong when there was only a relatively small social security budget and its citizens still strongly adhered to the ideologies of self-reliance. It was found that workfare has performed several functions in Hong Kong. Firstly, it has forced unemployed claimants to give up benefits so that Hong Kong's social security expenditures can be saved. Secondly, workfare had combined with Hong Kong's semi-democratic polity so that extremely stigmatising welfare measures were implemented. Thirdly, it has pushed poor citizens to the labour market without having any protection over wages and working hours. Thus, the combination of workfare and a semi-democratic polity has successfully suppressed Hong Kong's welfare demands and strengthened its self-help spirit. As a result, Hong Kong's minimal social security scheme and its low tax policy have been maintained
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M-estimator, and D-optimality model construction using orthogonal forward regression
This correspondence introduces a new orthogonal forward regression (OFR) model identification algorithm using D-optimality for model structure selection and is based on an M-estimators of parameter estimates. M-estimator is a classical robust parameter estimation technique to tackle bad data conditions such as outliers. Computationally, The M-estimator can be derived using an iterative reweighted least squares (IRLS) algorithm. D-optimality is a model structure robustness criterion in experimental design to tackle ill-conditioning in model Structure. The orthogonal forward regression (OFR), often based on the modified Gram-Schmidt procedure, is an efficient method incorporating structure selection and parameter estimation simultaneously. The basic idea of the proposed approach is to incorporate an IRLS inner loop into the modified Gram-Schmidt procedure. In this manner, the OFR algorithm for parsimonious model structure determination is extended to bad data conditions with improved performance via the derivation of parameter M-estimators with inherent robustness to outliers. Numerical examples are included to demonstrate the effectiveness of the proposed algorithm
Liability for Imposing Sanctions under Hong Kong’s National Security Law
Under art 29(4) of Hong Kong’s National Security Law, a person or company who “receives instructions” from a foreign country to commit the act of “imposing sanctions” against the Hong Kong Special Administrative Region (HKSAR) or the People’s Republic of China (PRC) commits a criminal offence. If, as required by the law of a foreign country X, a financial institution in Hong Kong, performs an act in the course of its business for the purpose of implementing a sanction imposed by country X against the HKSAR or PRC, does that financial institution violate art 29(4)? In this article, we argue the financial institution does not. The scope of art 29(4) must be interpreted contextually. It covers the performance of an act of imposing a sanction or blockade or of engaging in other hostile activities. Such an act is only capable of being performed by a state, an individual acting on behalf of a state or an international organisation. A financial institution, giving effect to sanctions against the HKSAR or the PRC, cannot be regarded as ‘receiving instructions’ to ‘impose sanctions’, which have already been imposed by a foreign state. It cannot be guilty of a criminal offence under art 29(4) merely by participating in the implementation of the sanctions concerned to comply with a foreign law applicable to it
Birds of a Feather: Cross-group Interaction between Mainland and Local University Students in Hong Kong
This study explains the lack of interaction between local students and international students from a micro-sociological perspective. Based on in-depth interviews of university students in Hong Kong, I argue that students lack cross-group interactions because they have little opportunities for mutually engaged experiences across multiple points in their lives. This lack of mutually engaged experiences is due to three factors: fragmented daily living space, defended interpersonal space, and politicized online space. To build cross-group friendships, external forces are needed to lift inhibitions, such as putting them in situations that they have to conduct all kinds of activities together. This study contributes to the understanding of cross-group interaction by pointing out the importance of the daily routine activities and the sociopolitical context in influencing cross-group interaction among students
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A new RBF neural network with boundary value constraints
We present a novel topology of the radial basis function (RBF) neural network, referred to as the boundary value constraints (BVC)-RBF, which is able to automatically satisfy a set of BVC. Unlike most existing neural networks whereby the model is identified via learning from observational data only, the proposed BVC-RBF offers a generic framework by taking into account both the deterministic prior knowledge and the stochastic data in an intelligent manner. Like a conventional RBF, the proposed BVC-RBF has a linear-in-the-parameter structure, such that it is advantageous that many of the existing algorithms for linear-in-the-parameters models are directly applicable. The BVC satisfaction properties of the proposed BVC-RBF are discussed. Finally, numerical examples based on the combined D-optimality-based orthogonal least squares algorithm are utilized to illustrate the performance of the proposed BVC-RBF for completeness
Traces and shards of self-injury: Strange accounting with “Author X”
In this strange account autoethnography, three or four authors explore their lived experiences with self-injury. Strange accounting is both a post-modern style of text, and a method for keeping identities concealed when risks and secrets are in play. Author X, a post-modern place-keeper for an anonymous author who may or may not have contributed to this manuscript, introduces a new dimension and layer of concealment. With Author X in-play and under erasure, the reader will never be sure if there were three or four authors on this manuscript. Through strange accounting, a post-structuralist/postmodernist frame will be applied to understanding the self-injury experience. We frame self-injury as a social practice and, for some, an everyday norm, while remaining acutely aware of the stigma surrounding the topic of self-injury. Each of us, coupled with Author X, provide the others cover to trace stories of self-injury through the literature, our flesh, and our lives
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Sparse kernel modelling: a unified approach
A unified approach is proposed for sparse kernel data modelling that includes regression and classification as well as probability density function estimation. The orthogonal-least-squares forward selection method based on the leave-one-out test criteria is presented within this unified data-modelling framework to construct sparse kernel models that generalise well. Examples from regression, classification and density estimation applications are used to illustrate the effectiveness of this generic sparse kernel data modelling approach
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