Miracle-dz/UniFAR-FTUs huggingface dataset:
How do trainee primary teachers understand creativity

This paper draws upon preliminary findings from research undertaken in three UK primary training providers as part of the Creative Teachers for Creative Learners project, funded by a Research and Development Award from the Teacher Training Agency. The project aims to support the development of primary trainee teachers' understanding of, and teaching for, children's creativity in design & technology (D&T) and other curriculum areas by producing an interactive bank of teaching and learning materials set within a Virtual Learning Environment (VLE). As an initial stage in the development of these materials, the project team has been exploring trainees' current understandings and perceptions of creativity, both as a personal attribute and as fostered by the primary curriculum in England. This paper will focus upon two sets of data generated as part of this process and the extent to which Harrington's (1990) 'creative ecosystem' is a useful theoretical and evaluative framework for trainee teachers. At Bath Spa University College, primary PGCE trainees have been set a directed task in schools during which they select lessons from two curriculum areas to observe: one which they expect to offer scope for creativity and another which they judge to lack creative potential. They have evaluated the support offered for children's creativity in each subject area using the framework drawn from Harrington (1990) and have frequently found their preconceptions challenged. At Manchester Metropolitan University and Goldsmiths' College, undergraduate trainees have produced cartoons to express their own notion of the 'creative person'. This has produced some interesting outcomes with regard to where opportunities for creativity can be found.
Feasibility of Telerehabilitation Implementation as a Novel Experience in Rehabilitation Academic Centers and Affiliated Clinics in Tehran: Assessment of Rehabilitation Professionals' Attitudes

Introduction. This study aimed to assess rehabilitation professionals' attitude toward implementation and application of telerehabilitation technology as a novel study in rehabilitation academic centers and affiliated clinics in Tehran. Methods. It was a descriptive cross-sectional study. To collect data, a researcher-designed questionnaire was developed. 141 rehabilitation experts participated in the study. Results. A majority of faculty members (78%) and clinicians (89.7%) either were in “definite agreement” or “somewhat agreed” with implementation and application of this technology, which demonstrates an overall positive attitude. Discussion. Based on the positive attitudes of the majority of participants toward implementation and application of this technology and their preferences in offering different telerehabilitation services, it seems that there is an appropriate and desirable acceptance and administrative culture to implement this technology among rehabilitation experts in Tehran. It is thus expected that implementation and application of this technology will be a promising experience in rehabilitation academic centers and affiliate clinics in Tehran.
An Ant Approach to the Flow Shop Problem

In this article we present an Ant Colony Optimization approach to the Flow Shop Problem. ACO is a new algorithmic approach, inspired by the foraging behavior of real ants, that can be applied to the solution of combinatorial optimization problems. Artificial ants are used to construct solutions for Flow Shop Problems that subsequently are improved by a local search procedure. Comparisons with other heuristics for the Flow Shop Scheduling problem show that with our approach very promising results are obtained.
Analysing Creative Cities

With the publication of The Rise of the Creative Class by Richard Florida in 2002, the â€˜creative cityâ€™ became the new hot topic among urban policymakers, planners and economists. Florida has developed one of three path-breaking theories about the relationship between creative individuals and urban environments. The economist A¥ke E. Andersson and the psychologist Dean Simonton are the other members of this â€˜creative troikaâ€™. In the Handbook of Creative Cities, Florida, Andersson and Simonton appear in the same volume for the first time. The expert contributors in this timely Handbook extend their insights with a varied set of theoretical and empirical tools. The diversity of the contributions reflect the multidisciplinary nature of creative city theorizing, which encompasses urban economics, economic geography, social psychology, urban sociology, and urban planning. The stated policy implications are equally diverse, ranging from libertarian to social democratic visions of our shared creative and urban future.
Aid in Danger: The Perils and Promise of Humanitarianism

Introduction Chapter 1. Three Stories of Aid in Danger: From Baghdad and Muttur to Solferino 00 Chapter 2. The Twin Challenges for Contemporary Humanitarianism Chapter 3. The Dangers They Face: Understanding Violence Against Aid Workers and Agencies Chapter 4. The Dominant Explanations: Competing Discourses of Aid Chapter 5. Explanations in the Shadows: Competing Images of Aid Chapter 6. Coping with Danger: Paradigms of Humanitarian Security Management Conclusion. Reclaiming Humanity List of Interviewees Notes Bibliography Index Acknowledgments
An Optimal Current Controller Design for a Grid Connected Inverter to Improve Power Quality and Test Commercial PV Inverters

Grid connected inverters play a crucial role in generating energy to be fed to the grid. A filter is commonly used to suppress the switching frequency harmonics produced by the inverter, this being passive, and either an L- or LCL-filter. The latter is smaller in size compared to the L-filter. But choosing the optimal values of the LCL-filter is challenging due to resonance, which can affect stability. This paper presents a simple inverter controller design with an L-filter. The control topology is simple and applied easily using traditional control theory. Fast Fourier Transform analysis is used to compare different grid connected inverter control topologies. The modelled grid connected inverter with the proposed controller complies with the IEEE-1547 standard, and total harmonic distortion of the output current of the modelled inverter has been just 0.25% with an improved output waveform. Experimental work on a commercial PV inverter is then presented, including the effect of strong and weak grid connection. Inverter effects on the resistive load connected at the point of common coupling are presented. Results show that the voltage and current of resistive load, when the grid is interrupted, are increased, which may cause failure or damage for connecting appliances.
Exploring network-based malware classification

Over the last years, dynamic and static malware analysis techniques have made significant progress. Majority of the existing analysis systems primarily focus on internal host activity. In spite of the importance of network activity, only a limited set of analysis tools have recently started taking it into account. In this work, we study the value of network activity for malware classification by various antivirus products. Specifically, we ask the following question: How well can we classify malware according to network activity? We monitor the execution of a malware sample in a controlled environment and summarize the obtained high-level network information in a graph. We then analyze graphs similarity to determine whether such high-level behavioral profile is sufficient to provide accurate classification of mal-ware samples. The experimental study on a real-world mal-ware collection demonstrates that our approach is able to group malware samples that behave similarly.
A tool for synthesizing power-efficient and custom-tailored wavelength-routed optical rings

Out of all the optical network-on-chip topologies, the ring has been proved to be far superior to its competitors: the contention-free all-to-all communications offer the lowest latency possible, while its clean physical design with few crossings and ring resonators provides unmatchable power results. The ring implements simultaneous communications by using a communication matrix that sets a distinctive waveguide-wavelength pair for each of them. That communication matrix has a high impact on energy consumption, but so far there have been very few efforts towards optimizing and automating its design. As far as we know, we propose the best optical ring design algorithm, which produces rings with the lowest number of wavelengths and waveguides in the literature. The algorithm is completed with a layout-aware and fully automated laser power calculation framework to help the user choose the most power-efficient design point.
Multiple Load Balancing to Support Non-Congestion based Multicast Routing in Adhoc Network

paper, Mobile Ad hoc Networks (MANET) is wireless networks consisting of a collection of mobile nodes without fixed infrastructure. According to decentralized, self- configuring and dynamic nature, MANETs offer many advantage and easy to install. But with this dynamic topology, MANETs have some challenges like the design of an efficient routing protocol. The multiple paths routing protocol with load balancing provides a solution for the congestion network and increases its capacity. MANET consists of a set of mobile nodes which are connected with each other by using radio waves. Load balancing is the way of improving the performance of a parallel. The central administration, hence it is called infrastructure less network. It is very difficult to find the path between two end points. This paper shows a solution for finding path between nodes in mobile ad hoc network. The multipath routing protocol with Load Balancing (LB) provides a solution. The results of this algorithm shows better throughput as compared to existing result. In this paper, the result show the performance analysis of various load balancing algorithms based on different parameters. The analysis represents that static and dynamic both types of algorithm can have advancements as well as weaknesses. Deciding type of algorithm to be implemented will be based on type of parallel applications to enhance the Quality of Service (QoS).
Refined Skeletal Features from Medial Point Clouds

Medial representations have been widely used for many shape analysis and processing tasks. Large and complex 3D shapes are, in this context, a challenging case. Recently, several methods have been proposed that extract point-based medial surfaces with high accuracy and computational scalability. However, the resulting medial clouds are of limited use for shape processing due to the difficulty of computing refined medial features from such clouds. In this paper, we show how to bridge the gap between having a raw medial cloud and enriching this cloud with feature points, medial-point classification, medial axis decomposition into sheets, robust regularization, and Y-network extraction. We further show how such properties can be used to support several shape processing sample applications including edge detection and shape segmentation, for a wide range of complex 3D shapes. c © 2015 Elsevier Ltd. All rights reserved.
Growth of Engineered Human Myocardium With Mechanical Loading and Vascular Coculture

Rationale: The developing heart requires both mechanical load and vascularization to reach its proper size, yet the regulation of human heart growth by these processes is poorly understood. Objective: We seek to elucidate the responses of immature human myocardium to mechanical load and vascularization using tissue engineering approaches. Methods and Results: Using human embryonic stem cell and human induced pluripotent stem cell–derived cardiomyocytes in a 3-dimensional collagen matrix, we show that uniaxial mechanical stress conditioning promotes 2-fold increases in cardiomyocyte and matrix fiber alignment and enhances myofibrillogenesis and sarcomeric banding. Furthermore, cyclic stress conditioning markedly increases cardiomyocyte hypertrophy (2.2-fold) and proliferation rates (21%) versus unconditioned constructs. Addition of endothelial cells enhances cardiomyocyte proliferation under all stress conditions (14% to 19%), and addition of stromal supporting cells enhances formation of vessel-like structures by ≈10-fold. Furthermore, these optimized human cardiac tissue constructs generate Starling curves, increasing their active force in response to increased resting length. When transplanted onto hearts of athymic rats, the human myocardium survives and forms grafts closely apposed to host myocardium. The grafts contain human microvessels that are perfused by the host coronary circulation. Conclusions: Our results indicate that both mechanical load and vascular cell coculture control cardiomyocyte proliferation, and that mechanical load further controls the hypertrophy and architecture of engineered human myocardium. Such constructs may be useful for studying human cardiac development as well as for regenerative therapy.
Social Connectedness and Health: A Literature Review

This literature review forms part of the first stage of the Social Connectedness Project. Its aim is: To undertake a review of the literature focusing on the link between social isolation and well-being in potential target groups such as the elderly, young people, people with disabilities, and the seriously ill; To give an overview of strength-based community development strategies and, in particular, Asset-Based Community Development (ABCD); To provide an overview over community development projects that employed such a strategy; and to To elaborate possible themes that could encapsulate the spirit of the project.
Conditional proxy re-encryption for secure big data group sharing in cloud environment

Conditional PRE (CPRE) is a novel public key primitive which enables the group sharing of confidential data without revealing its plaintext or decryption key to outside the group member. Previously, several efforts are made to facilitate CPRE in group data sharing in cloud environment. The main drawback of the state-of-art CPRE schemes for this purpose is that whenever the group member changes, the originator of the data needs to download all of the existing data on the cloud, encrypt them again with a new condition value, and uploads them to the cloud. As a result, they are not suitable for secure big data sharing among group member in cloud environment. In this paper, we introduce a new CPRE called the outsourcing CPRE scheme (O-CPRE) which reduces the client overhead drastically. When the membership of the group changes, in O-CPRE, the originator only needs to select a new condition value and upload it to the cloud. In addition, O-CPRE will move a part of client overhead at the initial setup stage and at the decryption of each message from the client to the cloud. As a result, O-CPRE is much more suitable for secure big data sharing in cloud environment than the other existing schemes.
Using Cost-regularized Kernel Regression with a high number of samples

The CrKR (Cost-regularized Kernel Regression) algorithm allows to optimize a function that dictates the meta-parameters to be used for a motor task according to a state variable. Particularly, it stood out at optimizing the meta-parameters of Dynamic Motion Primitives (DMPs) used in striking movements in robot table tennis. However, the high computational complexity of the algorithm limits the number of training samples that can be used before running out of computational resources to keep its execution. A method that minimizes this issue is here proposed, based on the idea that we can split the execution of the algorithm in several runs with a smaller number of rollouts, while transferring the learned state to meta-parameters function between successive runs. This solution allows circumventing the original algorithm limitations, making it possible to use with a high number of training samples without having to deal with an indefinitely increasing execution time per iteration. We compare the effectiveness and execution time of the algorithm before and after applying this transformation and verify that the first is almost unaffected while the latter decreases substantially.
Inner architecture of human and simian immunodeficiency viruses

The cores of human and simian immunodeficiency viruses (HIV and SIV) were observed by negative staining after isolation of the core with Nonidet P40 and glutaraldehyde. Four kinds of cores were found: asymmetric and symmetric sectoral shapes, a bar shape, and a triangular shape. These results were confirmed by the examination of ultrathin sections of whole virions. In some virions, the connection between the core and the envelope was observed after freeze fracturing. Its structure was considered to be characteristic of an intermediate stage of viral maturation. The HIV‐1 core was reacted with anti‐HIV‐1 p24 mouse monoclonal antibody. © 1993 Wiley‐Liss, Inc.
Reliable EGFR mutation testing in ultrasound-guided supraclavicular lymph node fine-needle aspirates: a cohort study with diagnostic performance analysis

Introduction 15–30% of patients with lung cancer will have supraclavicular and cervical lymphadenopathy (SCLN). Ultrasound (US)-guided fine-needle aspiration (FNA) cytology is regarded as an effective diagnostic tool in small size lymph nodes (LNs) and impalpable positron emission tomography detected nodes. We evaluated our diagnostic service performance in relation to the adequacy of samples for epidermal growth factor receptor (EGFR) mutation. Methods Retrospective data analysis from electronic records, searching for all suspected lung cancer referrals that underwent US of the neck±FNA, over a continuous period of 4 years. Results Of 306 cases with suspected lung cancer referred to our department for US FNA of SCLN, 228 patients underwent the procedure. Of the remaining 78 patients, LNs were not detected in 52 cases and appeared benign in 26. Cytological diagnosis was established in 171 patients (75%) for treatment decisions without further investigations. The remaining 57 patients had further investigations; 45 reconfirmed the US-guided FNA diagnosis. The average LN size was 12.9 mm, and positive cytology was obtained in LNs ranging from 3 to 45 mm. Of 57 adenocarcinoma cases, 34 were tested for EGFR confirming 4 positive, 25 negative and 5 insufficient samples. No complications were recorded. Conclusions US-guided FNA of SCLN remains an important diagnostic tool in lung cancer. Adequate tissue can be obtained for reliable diagnosis from LNs and for EGFR mutational analysis, without the need for more invasive and expensive investigations in more than 80% of cases.
Efficient Updates for OLAP Range Queries on Flash Memory

This paper explores efficient ways to use flash memory to store online analytical processing (OLAP) data. The particular type of queries considered are range queries using the aggregate functions SUM, COUNT and AVG. The asymmetric cost of reads and writes for flash memory gives higher importance to how updates are handled in a flash memory environment. A popular data structure used for answering OLAP range-sum queries is the prefix sum cube. It allows the range-sum query to be answered in constant time. However, updating the prefix sum cube is very expensive. To overcome this, the Δ-tree was proposed by Chun et al. (Dynamic update cube for range-sum queries. Proc. Int. Conf. Very Large Data Bases, San Francisco, CA, USA, 2001, pp. 521–530. Morgan Kaufmann Publisher). The Δ-tree stores all updates to the prefix sum cube in a separate r-tree. This approach worked well for the hard disk where in-place updates are relatively cheap. However, for flash memory where in-place updates are very expensive, the Δ-tree performs very poorly. We take a four-pronged approach to overcome the problem of expensive in-place updates. The first is efficient caching of updates in RAM. The second is writing out whole trees from RAM to flash memory instead of incrementally updating a disk resident tree. The third is we allow users to trade bounded amounts of accuracy for less updates via lossy compression. Finally, we use a quadtree index structure instead of the R-tree. We prove that the quadtree compression problem is NP-complete. A greedy heuristic is proposed to find near optimal solutions in polynomial time. Various experiments were conducted to compare the proposed algorithms against the existing Δ-tree. The results show that our algorithms consistently outperformed Δ-tree by factors of between 10 and 100. This demonstrates the importance of designing flash memory customized algorithms for OLAP range queries. In addition, among our algorithms, the error bound solutions with a small error bound setting significantly outperform the accurate solution in terms of performance for a variety of parameter settings. This indicates that the error bound algorithms offer users an effective trade-off between execution time and accuracy.
Catheter Ablation for Paroxysmal Atrial Fibrillation: Segmental Pulmonary Vein Ostial Ablation Versus Left Atrial Ablation

Background—Segmental ostial catheter ablation (SOCA) to isolate the pulmonary veins (PVs) and left atrial catheter ablation (LACA) to encircle the PVs both may eliminate paroxysmal atrial fibrillation (PAF). The relative efficacy of these 2 techniques has not been directly compared. Methods and Results—Of 80 consecutive patients with symptomatic PAF (age, 52±10 years), 40 patients underwent PV isolation by SOCA and 40 patients underwent LACA to encircle the PVs. During SOCA, ostial PV potentials recorded with a ring catheter were targeted. LACA was performed by encircling the left- and right-sided PVs 1 to 2 cm from the ostia and was guided by an electroanatomic mapping system; ablation lines also were created in the mitral isthmus and posterior left atrium. The mean procedure and fluoroscopy times were 156±45 and 50±17 minutes for SOCA and 149±33 and 39±12 minutes for LACA, respectively. At 6 months, 67% of patients who underwent SOCA and 88% of patients who underwent LACA were free of symptomatic PAF when not taking antiarrhythmic drug therapy (P =0.02). Among the variables of age, sex, duration and frequency of PAF, ejection fraction, left atrial size, structural heart disease, and the ablation technique, only an increased left atrial size and the SOCA technique were independent predictors of recurrent PAF. The only complication was left atrial flutter in a patient who underwent LACA. Conclusions—In patients undergoing catheter ablation for PAF, LACA to encircle the PVs is more effective than SOCA.
The interactive effect of positive and negative occupational attributional styles on job motivation

Research on attributional style in the work setting has generated inconsistent results concerning the effect attributional styles for positive and negative events have on job motivation and performance. This study set out to examine whether attributional style for positive and for negative work-related events, and their interaction, are related to job motivation. One hundred and sixteen working adults completed questionnaires measuring positive and negative attributional styles, and job motivation. The findings showed that both positive and negative attributional styles, as well as their interaction, were predictors of job motivation. The interactive effect suggests that a negative attributional style is negatively related to job motivation in the absence, but not in the presence, of a positive attributional style. It was also found that employees who have stayed for a reasonably long time with an organization (more than 4 years) are particularly vulnerable to negative attributional style. These findings are discussed in terms of the theoretical framework of positive – negative asymmetry in evaluations. Implications concerning the measurement of occupational attributional style are presented, as well as practical applications for organizations.