Insurgent Building: Spatial Practices of Resistance in the Bedouin-State Conflict in Southern Israel

In the con?ict between Bedouin representatives and government authorities in the southern Israeli Negev, the term ‘insurgent building’ refers to the construction of buildings erected in the full expectation that they will be demolished by the Israeli police shortly thereafter. This article analyses how insurgent building is employed as a spatial practice by emerging political actors to claim contested Bedouin landownership. Importantly, insurgent building relies on the ability of media and advocacy organizations to mobilize behind the issue. Most of the relevant scholarship takes the interpretative categories advanced by these actors at face value. Following anthropological debates regarding objecti?cation and categorization, I examine the context of a speci?c case of insurgent building. Emerging political actors who employ insurgent building often rely on prede?ned ethnic categories and clear-cut people–state polarities. This case demonstrates the need for a more differentiated understanding of multilayered local dynamics than the one offered by mainstream linear interpretations. At a more abstract level, political actors contribute to the reproduction of the very categories against which they mobilize.

Current Status of Offshore Wind Power Development in China

In July 2010, the Shanghai Donghai Bridge wind farm, the first commercial offshore wind project was connected to the main grid in China. Three months later, four contracts were handed out to build a total of 1GW wind power capacity in the first round of an offshore concession project by the Chinese central government. At that time, there was a worldwide expectation that Chinese offshore wind power capacity would expand rapidly. However, China only achieved a total offshore wind power installed capacity of 389.2 MW by the end of 2012. This paper studies the recent development of offshore wind power in China by dividing the offshore wind power projects into three categories. This paper presents the difficulties for the Chinese government to achieve its 12th Five Year Plan for offshore wind power. Some policy recommendations to overcome the current difficulties are made in the conclusions.

Tuning non-Markovianity by spin-dynamics control

We study the interplay between forgetful and memory-keeping evolution enforced on a two-level system by a multi-spin environment whose elements are coupled to local bosonic baths. Contrarily to the expectation that any non-Markovian effect would be buried by the forgetful mechanism induced by the spin-bath coupling, one can actually induce a full Markovian-to-non-Markovian transition of the two-level system's dynamics, controllable by parameters such as the mismatch between the energy of the two-level system and of the spin environment. For a symmetric coupling, the amount of non-Markovianity surprisingly grows with the number of decoherence channels. DOI: 10.1103/PhysRevA.87.022317

Channel Time Allocation PSO for Gigabit Multimedia Wireless Networks

This article introduces a resource allocation solution capable of handling mixed media applications within the constraints of a 60 GHz wireless network. The challenges of multimedia wireless transmission include high bandwidth requirements, delay intolerance and wireless channel availability. A new Channel Time Allocation Particle Swarm Optimization (CTA-PSO) is proposed to solve the network utility maximization (NUM) resource allocation problem. CTA-PSO optimizes the time allocated to each device in the network in order to maximize the Quality of Service (QoS) experienced by each user. CTA-PSO introduces network-linked swarm size, an increased diversity function and a learning method based on the personal best, Pbest, results of the swarm. These additional developments to the PSO produce improved convergence speed with respect to Adaptive PSO while maintaining the QoS improvement of the NUM. Specifically, CTA-PSO supports applications described by both convex and non-convex utility functions. The multimedia resource allocation solution presented in this article provides a practical solution for real-time wireless networks.

Evaluation of the contribution of theatre attendance to medical undergraduate neuroscience teaching - a pilot study.

Introduction: Medical students often attend the neurosurgical theatre during their clinical neurosciences attachment. However, few studies have been performed to objectively assess the value of this theatre-based learning experience. The main aim of this study was to explore student perceptions on the contribution of neurosurgical theatre attendance to clinical neuroscience teaching.

Materials and Methods: Third-year medical students undergoing their 2-week clinical neurosciences rotation at the Royal Hospitals Belfast were invited to participate in this study. A multi-method strategy was employed using a survey questionnaire comprising of closed and open-ended questions followed by semi-structured interviews to gain a greater 'in-depth' analysis of the potential contribution of neurosurgical theatre attendance to neuroscience teaching.

Results: Based on the completed survey responses of 22 students, the overall experience of neurosurgical theatre-based learning was a positive one. 'In-depth' analysis from semi-structured interviews indicated that students felt that some aspects of their neurosurgical theatre attendance could be improved. Better preparation such as reading up on the case in hand and an introduction to simple theatre etiquette to put the student at ease (in particular, for students who had never attended theatre previously), would improve the learning experience. In addition, having an expectation of what students are expected to learn in theatre making it more learning outcomes-based would probably make it feel a more positive experience by the student.

Conclusions: The vast majority of students acknowledged the positive learning outcomes of neurosurgical theatre attendance and felt that it should be made a mandatory component of the curriculum.

Temper outbursts in Prader-Willi syndrome: causes, behavioural and emotional sequence and responses by carers

Background: Temper outbursts are common in Prader-Willi syndrome but rarely described in detail. This study investigated the phenomenology of temper outbursts in terms of antecedents, sequence of behaviours and emotions and intervention strategies used.

Method: A semi-structured interview about temper outbursts was conducted with the main carers of seven children (9.5 to 16.7 years) and seven adults (24.7 to 47.10 years) with Prader-Willi syndrome (10 male, 4 female). Reliability and validity of the interview results was established.

Results: Various setting events increased and reduced the likelihood of temper outbursts. The most common antecedent was a change to routine or expectation. There were marked similarities in the sequence of behaviours and emotions during temper outbursts, with anger rising quickly followed by expressions of remorse and distress at the end of an outburst.

Discussion: The sequence of behaviours and emotions within outbursts was similar to that described in temper tantrums in typical development. Cognitive and emotional processes are likely to be important in the understanding of temper outbursts with implications for early intervention.

Characterizing changes in the excitability of corticospinal projections to proximal muscles of the upper limb

Background: There has been an explosion of interest in methods of exogenous brain stimulation that induce changes in the excitability of human cerebral cortex. The expectation is that these methods may promote recovery of function following brain injury. To assess their effects on motor output, it is typical to assess the state of corticospinal projections from primary motor cortex to muscles of the hand, via electromyographic responses to transcranial magnetic stimulation. If a range of stimulation intensities is employed, the recruitment curves (RCs) obtained can, at least for intrinsic hand muscles, be fitted by a sigmoid function.

Objective/hypothesis: To establish whether sigmoid fits provide a reliable basis upon which to characterize the input–output properties of the corticospinal pathway for muscles proximal to the hand, and to assess as an alternative the area under the (recruitment) curve (AURC).

Methods: A comparison of the reliability of these measures, using RCs obtained for muscles that are frequently the targets of rehabilitation.

Results: The AURC is an extremely reliable measure of the state of corticospinal projections to hand and forearm muscles, which has both face and concurrent validity. Construct validity is demonstrated by detection of widely distributed (across muscles) changes in corticospinal excitability induced by paired associative stimulation (PAS).

Conclusion(s): The parameters derived from sigmoid fits are unlikely to provide an adequate means to assess the effectiveness of therapeutic regimes. The AURC can be employed to characterize corticospinal projections to a range of muscles, and gauge the efficacy of longitudinal interventions in clinical rehabilitation.

Business Giving, the Tsunami and Corporates as Rock Stars: Some Implications for Arts Funding?

Financial and cultural aspects of corporate giving by UK and non-UK companies in response to the December 2004 South Asia Tsunami disaster are explored in this article. Literatures on corporate giving rationales, concepts of disaster and donor activity in disasters provide an underpinning. The article seeks to make connections between this high profile if short-lived business giving and the funding of the arts that is sought from business; and to draw tentative lessons for arts funding when seeking business support. The giving accounts in the wake of the Tsunami from a non-probability sample of 56 UK companies and 16 non-UK companies were examined. Reported online to the UK charity Business in the Community, these accounts were accessed in February 2005 and scrutinized thematically. Concurrently, company financial profiles to accompany giving figures were constructed. Although linkages between donation levels and financial performance were lacking, emerging themes included the role of employees, influencing company giving and creating a climate of expectation of firms' contributions. These developments may have important implications for business funding for the arts, where leading philanthropists are prominent as individuals in the giving landscapes; but employees' collective involvement is not marked. Alternatively, cultivation of employees as would-be donors, indirectly via their firms, may be a more secure, if lower level route to funding for some arts organizations than dependence on high profile business leaders. The article considers alternative scenarios for company giving in disaster contexts, including as a sustained and lasting giving theme or as company support as a ‘one-off’ event, rock-star style. The likely development of employee power as a key element in company giving is explored; and its wider meanings for funding in arts settings, (where the giver as rock star heroine/hero is also prominent) are considered.

New detections of HC5N towards hot cores associated with 6.7 GHz methanol masers

We present new detections of cyanodiacetylene (HC5N) toward hot molecular cores, observed with the Tidbinbilla 34 m radio telescope (DSS–34). In a sample of 79 hot molecular cores, HC5N was detected towards 35. These results are counter to the expectation that long chain cyanopolyynes, such as HC5N, are not typically found in hot molecular cores, unlike their shorter chain counterpart HC3N. However it is consistent with recent models which suggest HC5N may exist for a limited period during the evolution of hot molecular cores.

How much do you need: a randomised experiment of whether readers can understand the key messages from summaries of Cochrane Reviews, without reading the full review?

Objective: We explored whether readers can understand key messages without having to read the full review, and if there were differences in understanding between various types of summary.
Design: A randomised experiment of review summaries which compared understanding of a key outcome.
Participants: Members of university staff (n = 36).
Setting: Universities on the island of Ireland.
Method: The Cochrane Review chosen examines the health impacts of the use of electric fans during heat waves. Participants were asked their expectation of the effect these would have on mortality. They were then randomly assigned a summary of the review (i.e. abstract, plain language summary, podcast or podcast transcription) and asked to spend a short time reading/listening to the summary. After this they were again asked about the effects of electric fans on mortality and to indicate if they would want to read the full Review.
Main outcome measure: Correct identification of a key review outcome.
Results: Just over half (53%) of the participants identified its key message on mortality after engaging with their summary. The figures were 33% for the abstract group, 50% for both the plain language and transcript groups and 78% for the podcast group.
Conclusions: The differences between the groups were not statistically significant but suggest that the audio summary might improve knowledge transfer compared to written summaries. These findings should be explored further using a larger sample size and with other reviews.

The Participation of Disabled Children and Young People: A Social Justice Perspective

There is an increasing expectation that children, young people and their parents should participate in decisions that affect them. This includes decisions about their health and social care and collective or public decisions about the way in which such services are designed, delivered and evaluated. Indeed this has become a policy priority across the United Kingdom. The participation of disabled children and young people, however, has been slow to develop in the United Kingdom and concerns have been expressed about progress in this area. Drawing on the results of an Economic and Social Research Council-funded, mixed-methods study, the aim of this article is to explore the participation of disabled children and young people through a social justice lens. Participants, recruited by purposeful sampling, included 18 disabled children and young people, 77 parents and 90 professionals from one health and social care trust in Northern Ireland. There were four phases of data collection: surveys to parents and professionals, parent interviews, interviews with children and young people using creative and participatory techniques, and a focus group with professionals. Results showed that for most disabled children and young people, decision-making was firmly grounded in a family-centred model. However, when children and young people were drawn into participatory processes by adults and recognised as partners in interactions with professionals, they wanted more say and were more confident about expressing their views. Choices, information and resources were at times limited and this had a key impact on participation and the lives of these children, young people and their parents. The article concludes by exploring implications for further research and practice. The need for a two-pronged, social justice approach is recommended as a mechanism to advance the participation agenda.

Introducing an obstetric emergency training strategy into a simulated environment

Midwifery educators are challenged to produce registrants who are fit for practice at the point of registration with competence at the heart of this expectation. In addition to achieving expertise in normal pregnancy, it is recognised that students need to have the skills of critical decision making where normal processes become adversely affected.
An evaluation was undertaken with final year direct entry midwifery students using questionnaires and focus group interviews to determine whether simulated learning, such as the Practical Obstetric Multi-Professional Training (PROMPT) package, for emergency obstetric training would enhance self-efficacy and confidence levels in preparation for post-registration practice. The main themes that emerged from the study indicate that this style of learning increased midwifery students’ feelings of self-efficacy; highlighted the importance of a safe learning environment; reduced their anxiety regarding their ability to make decisions in clinical practice and reinforced confidence in their level of knowledge.

Kuznetsov independence for interval-valued expectations and sets of probability distributions: Properties and algorithms

Kuznetsov independence of variables X and Y means that, for any pair of bounded functions f(X) and g(Y), E[f(X)g(Y)]=E[f(X)] *times* E[g(Y)], where E[.] denotes interval-valued expectation and *times* denotes interval multiplication. We present properties of Kuznetsov independence for several variables, and connect it with other concepts of independence in the literature; in particular we show that strong extensions are always included in sets of probability distributions whose lower and upper expectations satisfy Kuznetsov independence. We introduce an algorithm that computes lower expectations subject to judgments of Kuznetsov independence by mixing column generation techniques with nonlinear programming. Finally, we define a concept of conditional Kuznetsov independence, and study its graphoid properties.

Bayesian network data imputation with application to survival tree analysis

Retrospective clinical datasets are often characterized by a relatively small sample size and many missing data. In this case, a common way for handling the missingness consists in discarding from the analysis patients with missing covariates, further reducing the sample size. Alternatively, if the mechanism that generated the missing allows, incomplete data can be imputed on the basis of the observed data, avoiding the reduction of the sample size and allowing methods to deal with complete data later on. Moreover, methodologies for data imputation might depend on the particular purpose and might achieve better results by considering specific characteristics of the domain. The problem of missing data treatment is studied in the context of survival tree analysis for the estimation of a prognostic patient stratification. Survival tree methods usually address this problem by using surrogate splits, that is, splitting rules that use other variables yielding similar results to the original ones. Instead, our methodology consists in modeling the dependencies among the clinical variables with a Bayesian network, which is then used to perform data imputation, thus allowing the survival tree to be applied on the completed dataset. The Bayesian network is directly learned from the incomplete data using a structural expectation–maximization (EM) procedure in which the maximization step is performed with an exact anytime method, so that the only source of approximation is due to the EM formulation itself. On both simulated and real data, our proposed methodology usually outperformed several existing methods for data imputation and the imputation so obtained improved the stratification estimated by the survival tree (especially with respect to using surrogate splits).

Region-based Mixture of Gaussians Modelling for Foreground Detection in Dynamic Scenes

One of the most widely used techniques in computer vision for foreground detection is to model each background pixel as a Mixture of Gaussians (MoG). While this is effective for a static camera with a fixed or a slowly varying background, it fails to handle any fast, dynamic movement in the background. In this paper, we propose a generalised framework, called region-based MoG (RMoG), that takes into consideration neighbouring pixels while generating the model of the observed scene. The model equations are derived from Expectation Maximisation theory for batch mode, and stochastic approximation is used for online mode updates. We evaluate our region-based approach against ten sequences containing dynamic backgrounds, and show that the region-based approach provides a performance improvement over the traditional single pixel MoG. For feature and region sizes that are equal, the effect of increasing the learning rate is to reduce both true and false positives. Comparison with four state-of-the art approaches shows that RMoG outperforms the others in reducing false positives whilst still maintaining reasonable foreground definition. Lastly, using the ChangeDetection (CDNet 2014) benchmark, we evaluated RMoG against numerous surveillance scenes and found it to amongst the leading performers for dynamic background scenes, whilst providing comparable performance for other commonly occurring surveillance scenes.