307 research outputs found
Legislating on Arbitration in Singapore: Linguistic Insights
No full textArbitration, a cost-effective and expeditious alternative to court litigation, takes place within complex and important national and international legal frameworks where legislation, rules, and conventions provide specialized regimes for the conduct of arbitrations. In recent years, Singapore has given evidence of a significant legislative activity in its fervor to make arbitration quicker and more efficient, and therefore has adopted domestic and international regimes that govern private commercial arbitration: the domestic Arbitration Act 2001 (AA) and the International Arbitration Act 2002 (IAA). While these laws differ from each other in matters of arbitral proceedings, they also reflect the best practice in dispute resolution used in the Asia Pacific Region, where Singapore is a regional and financial centre that serves as a gateway between East and West.
The purpose of this paper is to examine the arbitral regime and practice arising from the Singapore Arbitration Act 2001. The paper will look at the piece of legislative drafting from the perspective of language use in order to gain insights into the rhetorical and discursive features realized in the construction of the genre. First, the paper will outline the nature and topic of a two-ranked arbitral regime (AA – IAA) that is of relevance for the arbitration framework in Singapore. Secondly, the paper will analyze quantitatively and qualitatively the linguistic and textual choices realized in the professional/institutional practice and discourse of the genre, while also identifying those features which seem to constrain the accessibility and interpretation of legislative action performed in the genre. To the extent that Singapore inherited the Western-style legal culture of the English common law tradition, this part of the paper will also assess how the Singapore Arbitration Act borrowed semantic resources from the English Arbitration Act 1996 previously investigated by this author (Tessuto 2003), therefore giving rise to manifestations of “interdiscursivity” (Bhatia 2008, 2010a, 2011) from the discursive process and professional practice of English arbitration. Finally, the paper will draw some conclusions from the analysis of the most salient rhetorical and discursive data in the chosen genre, by adding as yet to our understanding of the intercultural and interdiscursive elements of drafting in the Eastern and Western socio-legal contexts
Khoo Kay Kim, professor of Malaysian history : a biobibliometric study
Get PDFPresents an analysis of the publication productivity, authorship pattern, channels of communication, journal preference and language preference of Professor Dato' Khoo Kay Kim, Professor of Malaysian History in the University of Malaya, Kuala Lumpur. The results of this biobibliometric study indicate that he can be a role model for future Malaysian historians to emulate his various achievements especially in the field of history education
Modeling preference noise and response noise in risky choice: Commentary on Bhatia and Loomes (2017)
Get PDFDSpace SAF Submission Ingestion Package generated from Vireo submission #13833 on 2019-08-22 at 15:07:49Made available in DSpace on 2019-08-23T20:36:06Z (GMT). No. of bitstreams: 2
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Previous issue date: 2019-04-23Embargo set by: Seth Robbins for item 112194
Lift date: 2021-08-23T20:36:18Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 112194 on 2021-08-24T09:15:10Z."Decision making research often heavily relies on deterministic modeling approaches. However, choice data are stochastic and therefore need to be modeled probabilistically. According to one probabilistic modeling approach, a decision maker has a fixed preference, but makes errors when selecting the utility-maximizing option. In another approach, a decision maker makes no errors, but his preference itself is probabilistic. Bhatia and Loomes (2017) refer to the first approach as ""response noise"" and the second approach as ""preference noise."" To avoid incorrect conclusions of a decision maker's underlying preferences, Bhatia and Loomes (2017) strongly advocate for modeling both types of noise simultaneously. In this commentary, we discuss the methods of Bhatia and Loomes (2017) and revisit a hybrid model, which models response and preference noise simultaneously, to address some limitations of these methods. Furthermore, we illustrate the hybrid model, discuss further refinements to the model, and illustrate model fit using data from hypothetical decision makers."Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01The student, Bryanna Fields, accepted the attached license on 2019-04-22 at 20:15.The student, Bryanna Fields, submitted this Thesis for approval on 2019-04-22 at 20:25.This Thesis was approved for publication on 2019-04-23 at 17:39
Tracing the journey of Thattai Bhatia community through their culinary identity
Get PDFAbstract The paper acknowledges the remarkable contribution of cookbooks which have always played an instrumental role in researching the history of any community. However, it brings to light the fact that there are several reasons like migration, small size of the community or the nomadic lifestyles when the culinary regime of the community could not be documented. In such cases, the everyday food choices of an ethnic community can lead us to tracing its origin and journey. The paper, thus, argues that in situations where there is paucity of literature documenting the culinary system or foodways, culinary identity of the community can become an effective method to trace the history of the community. The same is proved with the help of a case study of the Thattai Bhatia community. Thattai Bhatia is a small diaspora largely settled in the Persian Gulf, originally migrated from Rajasthan in India and later from Thatta in Sindh, Pakistan. The research reveals the reasons behind their distinct foodways such as abstinence from consuming liquor, meat, garlic and onion in particular, despite their intermingling with different ethnicities due to migration. The paper draws evidences from their regular foodways and traverses backwards to trace their origins, their history and the reasons that have shaped their contemporary food choices. With limited availability of literature, the author had to depend on the information provided during interviews by some of the community members about their food practices. All the findings are substantiated with references from the historical literature available
Modern applications of plant biotechnology in pharmaceutical sciences / Saurabh Bhatia, Kiran Sharma, Randhir Dahiya, Tanmoy Bera.
No full textpharmacy bookfair2016Description based on CIP data; item not viewed.This catalogue record is generated as a result of Non Print Legal Deposit processingxii, 439 pages
High frequency somatosensory stimulation in dystonia: Evidence for defective inhibitory plasticity
No full textBackground: Apart from motor symptoms, multiple deficits of sensory processing have been demonstrated in dystonia. The most consistent behavioural measure of this is abnormal somatosensory temporal discrimination threshold, which has recently been associated with physiological measures of reduced inhibition within the primary somatosensory area. High-frequency repetitive sensory stimulation is a patterned electric stimulation applied to the skin through surface electrodes that has been recently reported to shorten somatosensory temporal discrimination in healthy subjects and to increase the resting level of excitability in several different types of inhibitory interaction in the somatosensory and even motor areas.
Objectives: We tested whether high-frequency repetitive sensory stimulation could augment cortical inhibition and, in turn, ameliorate somatosensory temporal discrimination in cervical dystonia.
Methods: Somatosensory temporal discrimination and a number of electrophysiological measures of sensorimotor inhibition and facilitation were measured before and after 45 minutes of high-frequency repetitive sensory stimulation.
Results: As compared with a group of healthy volunteers of similar age, in whom high-frequency repetitive sensory stimulation increased inhibition and shortened somatosensory temporal discrimination, patients with cervical dystonia showed a consistent, paradoxical response: they had reduced suppression of paired-pulse somatosensory evoked potentials, as well as reduced high-frequency oscillations, lateral inhibition, and short interval intracortical inhibition. Somatosensory temporal discrimination deteriorated after the stimulation protocol, and correlated with reduced measures of inhibition within the primary somatosensory cortex.
Conclusions: We suggest that patients with dystonia have abnormal homeostatic inhibitory plasticity within the sensorimotor cortex and that this is responsible for their paradoxical response to high-frequency repetitive sensory stimulation
Functional Movement Disorder as a Prodromal Symptom of Parkinson's Disease-Clinical and Pathophysiological Insights
Get PDFFunctional movement disorder (FMD) is a common manifestation of functional neurological disorder. FMD can occur alongside other neurological conditions, but especially in patients with established Parkinson's disease (PD). An interesting observation emerging across cohort studies and case series is that FMD can precede the diagnosis of PD, suggesting that FMD may itself be a prodromal symptom of neurodegeneration. Such a notion would have significant clinical implications for the assessment and management of people with FMD, particularly with respect to decisions around the use of auxiliary investigations, counselling, and follow-up. In this Viewpoint we review the evidence concerning the temporal relationship between FMD and PD. We discuss the potential explanations and mechanisms for FMD as a prodromal symptom of PD, and highlight clinical considerations and important outstanding questions in the field. (c) 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society
Compact operators whose real and imaginary parts are positive
Get PDFLet T be a compact operator on a Hilbert space such that the operators A = 1/2 (T + T*) and B = 1/2i (T - T*) are positive. Let {s(j)} be the singular values of T and {alpha (j)}, {beta (j)} the eigenvalues of A, B, all enumerated in decreasing order. We show that the sequence {s(j)(2)} is majorised by {alpha (2)(j) + beta (2)(j)}. An important consequence is that, when p greater than or equal to 2, parallel toT parallel to (2)(p) is less than or equal to parallel toA parallel to (2)(p) + parallel toB parallel to (2)(p), and when 1 < p less than or equal to 2, this inequality is reversed.Mathematics, AppliedMathematicsSCI(E)12ARTICLE82277-228112
Prediction of abnormal pregnancy in pregnant women with Advanced maternal age and Pregestational Diabetes using Machine learning models
No full textNumber of women with advanced maternal age is increasing along with some preexisting medical condition like diabetes. The objective of this paper is to use machine learning models to predict number of women above 35 with pregestational diabetes having high risk of abnormal pregnancy. Using data from Open access CTG database and Mother's Significant Health dataset we compare women older than 35 with preexisting medical conditions to determine the risk prediction. The outcomes were compared between women 18 to 70 years and women above 35 years to see contrast in risk prediction and also the affected women already medical condition. Machine learning models of Random Forest, Logistic Regression and Decision tree were used to predict the outcomes. The target variable was set as pregestational diabetes. Random Forest and Logistic Regression performed equally better in both provided cases for women 18 to 70 years and women above 35 years of 87% and 83% respectively. Pregnant women above 35 having pregestational diabetes are at high risks of experiencing abnormal pregnancies. Future research and machine learning models may be able to detect the factors of the high risks involved for older pregnant women
Predicting daily PM2.5 using Classic Azure ML Studio
No full textWith the development of various industries, air pollution is also increasing day by day, and hence the air is getting harmful for living beings whether it be humans or animals. Some of the major factors in determining air pollution are Aerosol Optical Thickness/Depth (AOT/AOD), Ml, and M2. This paper proposes determining the most important factors in determining the PM2.5 level using feature selection methods and developing a model to predict the PM2.5 level using neural network regression on the Azure ML studio platform
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