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Lee Kuan Yew, Singapore’s first prime minister, who governed the country from 1959 to 1990, passed away on 23 March 2015 at the age of 91. The purpose of this paper is to assess his legacy of good governance in Singapore.

The changes in Singapore’s policy context during 1959-2014 are described first before analyzing Lee’s legacy of good governance in Singapore by examining his books and major speeches.

Lee Kuan Yew’s commitment to meritocracy, empowerment of the Corrupt Practices Investigation Bureau to curb corruption effectively, reliance on competitive salaries to attract the “best and brightest” citizens to join the civil service, and maintenance of the rule of law, constitute his legacy of good governance in Singapore.

This paper will be useful to policy-makers, scholars and readers who are interested in learning about Lee Kuan Yew’s contribution to good governance in Singapore.

Despite a global consensus that rule of law is desirable, there are important debates about what this entails and how it can be achieved or supported in developing and transitional countries of the Global South. Accordingly, this chapter considers the importance and contextual suitability of rule of law as a building block for ‘peaceful and inclusive societies’ in the context of the Sustainable Development Goals (SDG). We begin by examining key definitional debates and consider the challenges inherent to monitoring progress towards SDG target 16.3 which seeks to ‘promote the rule of law at the national and international levels, and ensure equal access to justice for all’. We proceed to illustrate some of these definitional and methodological limitations by considering how favourable rankings of model Western democracies mask rule of law deficits that relate to access to justice and the protection of human rights for marginalised populations. This critique highlights an important point that is repeatedly emphasised throughout the rule of law literature: rule of law is not an end state but rather an ideal that all countries must continuously work to realise and sustain. The remainder of the chapter considers the challenges of promoting a Western rule of law agenda in a failed and titular democracy (the Solomon Islands) and a peaceful and prosperous country (Singapore) which adheres to a ‘thin’ definition of the rule of law that does not conform with liberal ideals.

This paper aims to identify the role of internet of things (IoT) in water supply chain management and helps to understand its future path from the junction of computer science and resource management.

The current research was studied through bibliometric review and content analysis, and various contributors and linkages were found. Also, the possible directions and implications of the field were analyzed.

The paper’s key findings include the role of modern computer science in water resource management through sensor technology, big data analytics, IoT, machine learning and cloud computing. This, in turn, helps in understanding future implications of IoT resource management.

A more extensive database can add up to more combinations of linkages and ideas about the future direction. The implications and understanding gained by the research can be used by governments and firms dealing with water management of smart cities. It can also help find ways for optimizing water resources using IoT and modern-day computer science.

This study is one of the very few investigations that highlighted IoT’s role in water supply management. Thus, this study helps to assess the scope and the trend of the case area.

The objective of this research is to develop an solution to water management at the scale of buildings, through the technological resources. Automating analysis using 3D models helps increase efficiency in buildings during the operational phase, consequently promotes sustainability.

This study presents a methodology based on Design Science Research to automate water management at building scale integrating BIM-IoT-FM. Data from smart meters (IoT) and the BIM model were integrated to be applied in facilities management (FM) to improve performance of the building. The methodology was implemented in a prototype for the web, called AquaBIM, which captures, manages and analyzes the information.

The application of AquaBIM allowed the theoretical evaluation and practical validation of water management methodology. By BIM–IoT integration, the consumption parameters and ranges for 17 categories of activities were determined to contribute to fulfill the research gap for the commercial buildings. This criterion and other requirements are requirements met in order to obtain the AQUA-HQE environmental sustainability certification.

Traditionally, water management in buildings is based on scarce data. The practical application of digital technologies improves decision-making. Moreover, the creation of consumption indicators for commercial buildings contributes to the discussion in the field of knowledge.

This article emphasizes the investigation of the efficiency of use in commercial buildings using operational data and the use of sustainable consumption indicators to manage water consumption.

Nowadays, organizations have to resist the rising competition more effectively than their competitors and take a step closer to excellence in offering the product to customer demands. To do this, organizations need agile leaders in order to implement agility principles and practices. Especially in the health sector, health managers must be agile because of the specific characteristics of health services. From this view, this chapter aims to develop a theoretical agile leadership model in healthcare organizations. First, the authors define agile leadership and its sub-dimensions based on previous literature. Then, the antecedents and outcomes of agile leadership have been analyzed. “Drivers of agile leadership,” “organizational factors affecting agile leadership” and “individual factors affecting agile leadership” are identified as the antecedents of agile leadership. “Organizational outcomes” and “individual outcomes” are determined as the outcomes of agile leadership in the health sector.

Walter R. Allen is Allan Murray Cartter Professor in Higher Education, Graduate School of Education and Information Studies at the University of California, Los Angeles. He is also distinguished professor of sociology and director of CHOICES, a longitudinal study of college attendance among African Americans and Latinos in California. Allen's research interests include higher education, race and ethnicity, family patterns, and social inequality. He has been a consultant to courts, communities, business, and government. Allen's more than 100 publications include: Towards a Brighter Tomorrow: College Barriers, Hopes and Plans of Black, Latino/a and Asian American Students in California (2009); Till Victory is Won: The African American Struggle for Higher Education in California (2009); Everyday Discrimination in a National Sample of Incoming Law Students (2008); Higher Education in a Global Society: Achieving Diversity, Equity and Excellence (2006); Enacting Diverse Learning Environments: Improving the Climate for Racial/Ethnic Diversity in Higher Education (1999); College in Black and White: African American Students in Predominantly White and Historically Black Public Universities (1991); and The Colorline and the Quality of Life in America (1989).

Seeks to assess whether referrals for immunisation as day cases are appropriate and to identify any adverse events following hospital‐based immunisation.

Computerised consent forms and the ward registers were used to generate a list of children immunised in the day case ward of Basildon University Hospital between 1 January 2003 and 31 December 2003.

There were 57 referrals for immunisation under medical supervision in the day case ward during the 12‐month period. General practitioners referred 30 cases (53 per cent) followed by eight (14 per cent) referrals each from the Immunisation Coordinator Clinic and health visitors. The commonest reason for referral was previous reaction to vaccine (21 cases, 37 per cent), followed by history of egg allergy (11 cases, 23 per cent). The types of vaccines that were most frequently administered were the MMR first dose (18 cases, 32 per cent) and the second dose of DPT/OPV/HIB/Men C (13 cases, 23 per cent).

A total of 24 (42 per cent) of the referrals were judged to be inappropriate as per the UK Department of Health's guidelines. No adverse events were noticed during hospital‐based immunisation. Definite guidelines exist in the UK for immunisation. However, a large proportion of children who deserved immunisation in the community were referred to the hospital day case unit.

This paper identifies the inappropriateness of hospital‐based immunisation and emphasises the need to create increased awareness regarding the true contraindications to immunisation among healthcare professionals by further education and training. Further, it is expected to stimulate many paediatric departments to look at their own practice and find ways to improve service efficiency and effective use of resources.

The purpose of this paper is to link the multifarious problems of the elderly in a socio-economic and psychological framework.

The universe of the sample is elderly left behind in emigrant households in Kerala. In total, 600 samples were mustered using multistage stratified random sampling method. The paper, with the aid of factor analysis, χ2 and correspondence analysis, blemish the principal factors responsible for the migration-induced exclusion of the elderly.

The empirical result derived from the study shows that migration-induced exclusion is all pervasive in Kerala. The elderly left behind yearn for the presence of their children rather than the emigration and concomitant remittances.

The findings of the study are helpful to the policy makers to understand the issues faced by the elderly and include all stakeholders concerned to find a solution to tackle these problems faced by the elderly due to emigration of their children.

The study is practically relevant in developing appropriate policy framework in Kerala as it illumines the role of the government to overcome the exclusionary trend and other manifold problems of the elderly.

The study sheds light to a new social problem developing in the state in the form of elderly exclusion owing to emigration of the young working groups in regional dimensions, demographic levels, community angles and the emerging culture of old age home in the Kerala economy and society.

The study is a unique one and tries to situate the principal factors responsible for the emigration-induced exclusion of the elderly in Kerala with empirical evidence.

Development of non‐destructive methodology for detection of arc strike, spatter and fusion type of welding defects which may form on steam generator (SG) tubes that are in close proximity to the circumferential shell welds. Such defects, especially fusion‐type defects, are detrimental to the structural integrity of the SG. This paper aims to focus on this problem.

This paper presents a new methodology for non‐destructive detection of arc strike, spatter and fusion type of welding defects. This methodology uses remote field eddy current (RFEC) ultrasonic non‐destructive techniques and K‐means clustering.

Distinctly different RFEC signals have been observed for the three types of defects and this information has been effectively utilized for automated identification of weld fusion which produces two back‐wall echoes in ultrasonic A‐scan signals. The methodology can readily distinguish fusion‐type defect from arc strike and spatter type of defects.

The methodology is unique as there is no standard guideline for non‐destructive evaluation of peripheral tubes after shell welding to detect arc strike, spatter and fusion type of welding defects.

Inverting electroheat problems involves synthesizing the electromagnetic arrangement of coils and geometries to realize a desired heat distribution. To this end two finite element problems need to be solved, first for the magnetic fields and the joule heat that the associated eddy currents generate and then, based on these heat sources, the second problem for heat distribution. This two-part problem needs to be iterated on to obtain the desired thermal distribution by optimization. Being a time consuming process, the purpose of this paper is to parallelize the process using the graphics processing unit (GPU) and the real-coded genetic algorithm, each for both speed and accuracy.

This coupled problem represents a heavy computational load with long wait-times for results. The GPU has recently been demonstrated to enhance the efficiency and accuracy of the finite element computations and cut down solution times. It has also been used to speedup the naturally parallel genetic algorithm. The authors use the GPU to perform coupled electroheat finite element optimization by the genetic algorithm to achieve computational efficiencies far better than those reported for a single finite element problem. In the genetic algorithm, coding objective functions in real numbers rather than binary arithmetic gives added speed and accuracy.

The feasibility of the method proposed to reduce computational time and increase accuracy is established through the simple problem of shaping a current carrying conductor so as to yield a constant temperature along a line. The authors obtained a speedup (CPU time to GPU time ratio) saturating to about 28 at a population size of 500 because of increasing communications between threads. But this far better than what is possible on a workstation.

By using the intrinsically parallel genetic algorithm on a GPU, large complex coupled problems may be solved very quickly. The method demonstrated here without accounting for radiation and convection, may be trivially extended to more completely modeled electroheat systems. Since the primary purpose here is to establish methodology and feasibility, the thermal problem is simplified by neglecting convection and radiation. While that introduces some error, the computational procedure is still validated.

The methodology established has direct applications in electrical machine design, metallurgical mixing processes, and hyperthermia treatment in oncology. In these three practical application areas, the authors need to compute the exciting coil (or antenna) arrangement (current magnitude and phase) and device geometry that would accomplish a desired heat distribution to achieve mixing, reduce machine heat or burn cancerous tissue. This process presented does it more accurately and speedily.

Particularly the above-mentioned application in oncology will alleviate human suffering through use in hyperthermia treatment planning in cancer treatment. The method presented provides scope for new commercial software development and employment.

Previous finite element shape optimization of coupled electroheat problems by this group used gradient methods whose difficulties are explained. Others have used analytical and circuit models in place of finite elements. This paper applies the massive parallelization possible with GPUs to the inherently parallel genetic algorithm, and extends it from single field system problems to coupled problems, and thereby realizes practicable solution times for such a computationally complex problem. Further, by using GPU computations rather than CPU, accuracy is enhanced. And then by using real number rather than binary coding for object functions, further accuracy and speed gains are realized.