Multi-level wordline driver for robust SRAM design in nano-scale CMOS technology

In this paper, a multi-level wordline driver scheme is presented to improve 6T-SRAM read and write stability. The proposed wordline driver generates a shaped pulse during the read mode and a boosted wordline during the write mode. During read, the shaped pulse is tuned at nominal voltage for a short period of time, whereas for the remaining access time, the wordline voltage is reduced to save the power consumption of the cell. This shaped wordline pulse results in improved read noise margin without any degradation in access time for small wordline load. The improvement is explained by examining the dynamic and nonlinear behavior of the SRAM cell. Furthermore, during the hold mode, for a short time (depending on the size of boosting capacitance), wordline voltage becomes negative and charges up to zero after a specific time that results in a lower leakage current compared to conventional SRAM. The proposed technique results in at least 2× improvement in read noise margin while it improves write margin by 3× for lower supply voltages than 0.7 V. The leakage power for the proposed SRAM is reduced by 2% while the total power is improved by 3% in the worst case scenario for an SRAM array. The main advantage of the proposed wordline driver is the improvement of dynamic noise margin with less than 2.5% penalty in area. TSMC 65 nm technology models are used for simulations.

Optimal Time Series Momentum

We develop a continuous-time asset price model to capture the timeseries momentum documented recently. The underlying stochastic delay differentialsystem facilitates the analysis of effects of different time horizons used bymomentum trading. By studying an optimal asset allocation problem, we find thatthe performance of time series momentum strategy can be significantly improvedby combining with market fundamentals and timing opportunity with respect tomarket trend and volatility. Furthermore, the results also hold for different timehorizons, the out-of-sample tests and with short-sale constraints. The outperformanceof the optimal strategy is immune to market states, investor sentiment andmarket volatility.

DEX: Self-Healing Expanders

We present a fully-distributed self-healing algorithm DEX, that maintains a constant degree expander network in a dynamic setting. To the best of our knowledge, our algorithm provides the first efficient distributed construction of expanders - whose expansion properties hold deterministically - that works even under an all-powerful adaptive adversary that controls the dynamic changes to the network (the adversary has unlimited computational power and knowledge of the entire network state, can decide which nodes join and leave and at what time, and knows the past random choices made by the algorithm). Previous distributed expander constructions typically provide only probabilistic guarantees on the network expansion which rapidly degrade in a dynamic setting, in particular, the expansion properties can degrade even more rapidly under adversarial insertions and deletions. Our algorithm provides efficient maintenance and incurs a low overhead per insertion/deletion by an adaptive adversary: only O(log n) rounds and O(log n) messages are needed with high probability (n is the number of nodes currently in the network). The algorithm requires only a constant number of topology changes. Moreover, our algorithm allows for an efficient implementation and maintenance of a distributed hash table (DHT) on top of DEX, with only a constant additional overhead. Our results are a step towards implementing efficient self-healing networks that have guaranteed properties (constant bounded degree and expansion) despite dynamic changes.

An exploration of nursing home managers' knowledge of and attitudes towards the management of pain in residents with dementia

Background The aims of this study were to explore the knowledge, attitudes and beliefs that nursing home managers hold with regard to the assessment and management of pain in residents with dementia and to determine how these may be affected by the demographic characteristics of the respondents.

Methods A questionnaire comprising six sections was mailed, on two occasions during March and April 2010, to 244 nursing home managers in Northern Ireland (representing 96% of the nursing homes in Northern Ireland).

Results The response rate was 39%. Nearly all respondents (96%) provided care to residents with dementia, yet only 60% of managers claimed to use pain treatment guidelines within their nursing home. Respondents demonstrated good knowledge about pain in residents with dementia and acknowledged the difficulties surrounding accurate pain assessment. Nursing home managers were uncertain about how to manage pain in residents with dementia, demonstrating similar concerns about the use of opioid analgesics to those reported in previous studies about pain in older people. Managers who had received recent training (p = 0.044) were less likely to have concerns about the use of opioid analgesia than those who had not received training. Respondents' beliefs about painkillers were largely ambivalent and were influenced by the country in which they had received their nursing education.

Conclusions The study has revealed that accurate pain assessment, training of nursing staff and a standardised approach to pain management (the use of pain management guidelines) within nursing homes all have a significant part to play in the successful management of pain in residents with dementia. Copyright (c) 2012 John Wiley & Sons, Ltd.

Islamist Versus Islamist: Rising Challenge in Gaza

Islam's diversity is a direct result of centuries of schism and factionalism, and presents a challenge to the original spirit of unity as envisaged by its founder, the Prophet Mohammed. Rivalry within Islam undermines the precedent notion of unity through communal belonging (tawhid and ummah). Yet in the twenty-first century this diversity is ignored, and political Islam is represented as being more of a monolith than a spectrum of ideas and aspirations. Generally, the materialization of new Islamist groups is a challenge to those who hold that unity is all. In the Gaza Strip, specifically, the dominant Islamist actor, Hamas, is facing internal challenges from other Islamist elements. These rival Islamists are also influenced by events across their border in post-revolutionary Egypt where a plethora of new Islamist actors are vying for political space and power. This article deals with Hamas's Islamist rivals, and the effects they have had on Hamas's governance of the Gaza Strip, and political and religious legitimacy within it. It will focus on ideological and violent disputes between the Islamist elements in Gaza, and the means by which Hamas and its security elements have tackled newly emerging rivals.

On Regression Methods for Virtual Metrology in Semiconductor Manufacturing

Virtual metrology (VM) aims to predict metrology values using sensor data from production equipment and physical metrology values of preceding samples. VM is a promising technology for the semiconductor manufacturing industry as it can reduce the frequency of in-line metrology operations and provide supportive information for other operations such as fault detection, predictive maintenance and run-to-run control. The prediction models for VM can be from a large variety of linear and nonlinear regression methods and the selection of a proper regression method for a specific VM problem is not straightforward, especially when the candidate predictor set is of high dimension, correlated and noisy. Using process data from a benchmark semiconductor manufacturing process, this paper evaluates the performance of four typical regression methods for VM: multiple linear regression (MLR), least absolute shrinkage and selection operator (LASSO), neural networks (NN) and Gaussian process regression (GPR). It is observed that GPR performs the best among the four methods and that, remarkably, the performance of linear regression approaches that of GPR as the subset of selected input variables is increased. The observed competitiveness of high-dimensional linear regression models, which does not hold true in general, is explained in the context of extreme learning machines and functional link neural networks.

A quantum measurement paradigm for educational predicates: Implications for validity in educational measurement

The outcomes of educational assessments undoubtedly have real implications for students, teachers, schools and education in the widest sense. Assessment results are, for example, used to award qualifications that determine future educational or vocational pathways of students. The results obtained by students in assessments are also used to gauge individual teacher quality, to hold schools to account for the standards achieved by their students, and to compare international education systems. Given the current high-stakes nature of educational assessment, it is imperative that the measurement practices involved have stable philosophical foundations. However, this paper casts doubt on the theoretical underpinnings of contemporary educational measurement models. Aspects of Wittgenstein’s later philosophy and Bohr’s philosophy of quantum theory are used to argue that a quantum theoretical rather than a Newtonian model is appropriate for educational measurement, and the associated implications for the concept of validity are elucidated. Whilst it is acknowledged that the transition to a quantum theoretical framework would not lead to the demise of educational assessment, it is argued that, where practical, current high-stakes assessments should be reformed to become as ‘low-stakes’ as possible. The paper also undermines some of the pro high-stakes testing rhetoric that has a tendency to afflict education.

Is there an educational penalty for being suspended from school?

Suspension from school is a commonly used, yet controversial, school disciplinary measure. This paper uses unique survey data to estimate the impact of suspension on the educational outcomes of those suspended. It finds that while suspension is strongly associated with educational outcomes, the relationship is unlikely to be causal, but rather likely stems from differences in the characteristics of those suspended compared to those not suspended. Moreover, there is no evidence that suspension is associated with larger educational penalties for young people from disadvantaged family backgrounds compared to those from more advantaged family backgrounds. These results hold regardless of whether self-reported suspension or mother-reported suspension is considered. The absence of a clear negative causal impact of suspension on educational outcomes suggests that suspension may continue to play a role in school discipline without harming the educational prospects of those sanctioned.

On the Complexity of Universal Leader Election

Electing a leader is a fundamental task in distributed computing. In its implicit version, only the leader must know who is the elected leader. This article focuses on studying the message and time complexity of randomized implicit leader election in synchronous distributed networks. Surprisingly, the most "obvious" complexity bounds have not been proven for randomized algorithms. In particular, the seemingly obvious lower bounds of Ω(m) messages, where m is the number of edges in the network, and Ω(D) time, where D is the network diameter, are nontrivial to show for randomized (Monte Carlo) algorithms. (Recent results, showing that even Ω(n), where n is the number of nodes in the network, is not a lower bound on the messages in complete networks, make the above bounds somewhat less obvious). To the best of our knowledge, these basic lower bounds have not been established even for deterministic algorithms, except for the restricted case of comparison algorithms, where it was also required that nodes may not wake up spontaneously and that D and n were not known. We establish these fundamental lower bounds in this article for the general case, even for randomized Monte Carlo algorithms. Our lower bounds are universal in the sense that they hold for all universal algorithms (namely, algorithms that work for all graphs), apply to every D, m, and n, and hold even if D, m, and n are known, all the nodes wake up simultaneously, and the algorithms can make any use of node's identities. To show that these bounds are tight, we present an O(m) messages algorithm. An O(D) time leader election algorithm is known. A slight adaptation of our lower bound technique gives rise to an Ω(m) message lower bound for randomized broadcast algorithms. 

An interesting fundamental problem is whether both upper bounds (messages and time) can be reached simultaneously in the randomized setting for all graphs. The answer is known to be negative in the deterministic setting. We answer this problem partially by presenting a randomized algorithm that matches both complexities in some cases. This already separates (for some cases) randomized algorithms from deterministic ones. As first steps towards the general case, we present several universal leader election algorithms with bounds that tradeoff messages versus time. We view our results as a step towards understanding the complexity of universal leader election in distributed networks.

The fungal microbiota of de-novo paediatric inflammatory bowel disease

Inflammatory bowel disease (IBD) is characterised by an inappropriate chronic immune response against resident gut microbes. This may be on account of distinct changes in the gut microbiota termed as dysbiosis. The role of fungi in this altered luminal environment has been scarcely reported. We studied the fungal microbiome in de-novo paediatric IBD patients utilising next generation sequencing and compared with adult disease and normal controls. We report a distinct difference in fungal species with Ascomycota predominating in control subjects compared to Basidiomycota dominance in children with IBD, which could be as a result of altered tolerance in these patients. 

Enabling and constraining features of donor accountability and its relationship to beneficiary accountability

Purpose: The purpose of this paper is to theorise and empirically examine the views of various NGO stakeholders on the role of donors in facilitating beneficiary accountability.

Method: The paper adopts a case study design and draws primarily on semi-structured interviews with the officials of a large development NGO, donor representatives and regulators.

Findings: We find that donor accountability contains both enabling and constraining features in relation to beneficiary accountability. Our evidence shows that while legitimising their own actions, donors’ accountability requirements embed some enabling provisions of beneficiary accountability, such as participation, monitoring, evaluation and lessons learning, which facilitate beneficiary accountability (Ebrahim, 2003b). We argue that exerting the attributes of power, legitimacy and urgency donors are in a position to realise their accountability claims (Mitchell, Agle, & Wood, 1997) and can hold funded NGOs to account. In the absence of beneficiaries’ power and the unwillingness of regulators to hold NGOs to account, donors’ accountability can play a complementary role in making an NGO accountable to its beneficiaries. Finally, we capture and illustrate some constraining features of donor accountability which limits the promotion of beneficiary accountability.

Research limitations/implications: The findings have significant implications for the policy makers and donors in the context of the current phenomenon of NGOs drive for self-sustainability via commercial activities which are actively encouraged by the donors.

Originality: This paper provides an alternative theorisation of donor accountability in a development NGO context. It draws on rare qualitative empirical data which incorporate the views of multiple groups (including donors which is hitherto rare in the NGO accountability literature) who are directly and/or indirectly involved in setting and negotiating NGO-donors accountability relationship. It enhances our understanding in terms providing a more nuanced portrayal of donor accountability.

Transforming Post-Catholic Ireland: Religious Practice in Late Modernity

Transforming Post-Catholic Ireland is the first major book to explore the dynamic religious landscape of contemporary Ireland, north and south, and to analyse the island’s religious transition. It confirms that the Catholic Church’s long-standing ‘monopoly’ has well and truly disintegrated, replaced by a mixed, post-Catholic religious ‘market’ featuring new and growing expressions of Protestantism, as well as other religions. It describes how people of faith are developing ‘extra-institutional’ expressions of religion, keeping their faith alive outside or in addition to the institutional Catholic Church.

Drawing on island-wide surveys of clergy and laypeople, as well as more than 100 interviews, this book describes how people of faith are engaging with key issues such as increased diversity, reconciliation to overcome the island’s sectarian past, and ecumenism. It argues that extra-institutional religion is especially well-suited to address these and other issues due to its freedom and flexibility when compared to traditional religious institutions. It describes how those who practice extra-institutional religion have experienced personal transformation, and analyses the extent that they have contributed to wider religious, social, and political change. On an island where religion has caused much pain, from clerical sexual abuse scandals, to sectarian violence, to a frosty reception for some immigrants, those who practice their faith outside traditional religious institutions may hold the key to transforming post-Catholic Ireland into a more reconciled society.

How should teaching on whole person medicine, including spiritual issues, be delivered in the undergraduate medical curriculum in the United Kingdom?

Background

Although the General Medical Council recommends that United Kingdom medical students are taught ‘whole person medicine’, spiritual care is variably recognised within the curriculum. Data on teaching delivery and attainment of learning outcomes is lacking. This study ascertained views of Faculty and students about spiritual care and how to teach and assess competence in delivering such care.

A questionnaire comprising 28 questions exploring attitudes to whole person medicine, spirituality and illness, and training of healthcare staff in providing spiritual care was designed using a five-point Likert scale. Free text comments were studied by thematic analysis. The questionnaire was distributed to 1300 students and 106 Faculty at Queen’s University Belfast Medical School.

351 responses (54 staff, 287 students; 25 %) were obtained. >90 % agreed that whole person medicine included physical, psychological and social components; 60 % supported inclusion of a spiritual component within the definition. Most supported availability of spiritual interventions for patients, including access to chaplains (71 %), counsellors (62 %), or members of the patient’s faith community (59 %). 90 % felt that personal faith/spirituality was important to some patients and 60 % agreed that this influenced health. However 80 % felt that doctors should never/rarely share their own spiritual beliefs with patients and 67 % felt they should only do so when specifically invited. Most supported including training on provision of spiritual care within the curriculum; 40-50 % felt this should be optional and 40 % mandatory. Small group teaching was the favoured delivery method. 64 % felt that teaching should not be assessed, but among assessment methods, reflective portfolios were most favoured (30 %). Students tended to hold more polarised viewpoints but generally were more favourably disposed towards spiritual care than Faculty. Respecting patients’ values and beliefs and the need for guidance in provision of spiritual care were identified in the free-text comments.

Students and Faculty generally recognise a spiritual dimension to health and support provision of spiritual care to appropriate patients. There is lack of consensus whether this should be delivered by doctors or left to others. Spiritual issues impacting patient management should be included in the curriculum; agreement is lacking about how to deliver and assess.

PICan: An integromics framework for dynamic cancer biomarker discovery

Modern cancer research on prognostic and predictive biomarkers demands the integration of established and emerging high-throughput technologies. However, these data are meaningless unless carefully integrated with patient clinical outcome and epidemiological information. Integrated datasets hold the key to discovering new biomarkers and therapeutic targets in cancer. We have developed a novel approach and set of methods for integrating and interrogating phenomic, genomic and clinical data sets to facilitate cancer biomarker discovery and patient stratification. Applied to a known paradigm, the biological and clinical relevance of TP53, PICan was able to recapitulate the known biomarker status and prognostic significance at a DNA, RNA and protein levels.

Terrorism Laws and Legal Accountability

This chapter explores the extent to which courts can contribute to the countering of terrorism. It suggests that the contribution will depend on the type of actor the courts are attempting to hold to account as well as on the powers that are conferred on courts by national and international legal regimes. It concludes that courts are most legitimate and effective in relation to terrorist suspects and law enforcers, but less so in relation to counter-terrorism operatives and law-makers.