Miracle-dz/UniFAR-FTUs huggingface dataset:
Educating nursing home staff on fracture prevention: a cluster randomised trial.

OBJECTIVE to assess whether specialist osteoporosis nurses delivering training to care home staff can reduce fractures and improve the prescription of treatments to reduce fractures versus usual care. DESIGN pragmatic cluster randomised controlled trial (RCT) with randomisation at the Primary Care Organisation (PCO) level. SETTING care homes (residential, nursing and EMI) across England and Wales within PCOs. PARTICIPANTS all 300 PCOs in England and Wales were invited to take part. Of these, 58 agreed to participate and gained ethical approval in time to start the study: 29 clusters were randomised to the intervention group and 29 to the control. INTERVENTION specialist osteoporosis nurses undertaking short training sessions with care home staff emphase the importance of fracture and fall prevention and train staff on how to identify those residents at high risk of fracture. Residents' risk of fracture and falls was reported to general practitioners (GPs) of patients along with treatment recommendations. OUTCOME MEASURES primary outcome measures were total fractures over the past 12 months and total hip fractures over past the 12 months. Secondary outcome measures were total home falls, number of residents sustaining a fall, number of residents prescribed bisphosphonates, number of residents prescribed calcium and vitamin D and number of residents wearing hip protectors. All outcomes were measured at the care home level. RESULTS of the 230 care homes randomised data were collected from 209 of these containing 5,637 residents. There were no differences between the groups in the incidence rate ratios (IRRs) for total fractures (IRR = 0.94 [0.71, 1.26] P = 0.70) or total hip fractures (IRR = 0.86 [0.63, 1.18] P = 0.36). No differences were found between groups for home falls or hip protector use. A significant increase in bisphosphonate prescription was seen in the intervention group over the control group (IRR = 1.50 [1.00, 2.24] P = 0.05). Calcium and vitamin D prescription was significantly increased in the intervention group over the control group (IRR = 1.64 [1.23, 2.18] P<0.01). CONCLUSION the intervention significantly increased the prescription of bisphosphonates and calcium/vitamin D, but was not associated with a significant effect on the rate of falls or fractures.
2 Multiple Fibres : What ’ s all the fuss about ?

This chapter covers techniques for resolving multiple fibre populations in each voxel, as well as methods to exploit the information they recover. It begins by describing the limitations of DTI and the problems that complex white-matter configurations such as crossing fibre-populations and bending fibres present. It then goes on to describe multiple-tensor models, diffusion spectrum imaging, QBall, spherical deconvolution and persistent angular structure (PAS) MRI, along with a summary of pros and cons of each method. The next section covers useful information that can be extracted from the output of the techniques presented, such as estimates of fibre-orientations and indices of anisotropy and complexity. Finally, tractography methods for exploiting the multiple-fibre reconstruction algorithms and their metrics are briefly discussed.
EDRAK: Entity-Centric Data Resource for Arabic Knowledge

Online Arabic content is growing very rapidly, with unmatched growth in Arabic structured resources. Systems that perform standard Natural Language Processing (NLP) tasks such as Named Entity Disambiguation (NED) struggle to deliver decent quality due to the lack of rich Arabic entity repositories. In this paper, we introduce EDRAK, an automatically generated comprehensive Arabic entity-centric resource. EDRAK contains more than two million entities together with their Arabic names and contextual keyphrases. Manual evaluation confirmed the quality of the generated data. We are making EDRAK publicly available as a valuable resource to help advance research in Arabic NLP and IR tasks such as dictionary-based NamedEntity Recognition, entity classification, and entity summarization.
Fundamentals of Stein's method

This survey article discusses the main concepts and techniques of Stein's method for distributional approximation by the normal, Poisson, exponential, and geometric distributions, and also its relation to concentration of measure inequalities. The material is presented at a level accessible to beginning raduate students studying probability with the main emphasis on the themes that are common to these topics and also to much of the Stein's method literature.
SLC-enabled wear leveling for MLC PCM considering process variation

Phase change memory is becoming one of the most promising candidates to replace DRAM as main memory in deep silicon regime. Multi-level cell (MLC) PCM outperforms single level cell (SLC) in terms of capacity while suffering from a weaker cell endurance. Wear leveling strategies are proposed to enhance the endurance but encounters more challenges with the aggravating process variation. Due to endurance variations, balanced write traffic cannot fully exploit the PCM endurance since the weak parts will be worn out sooner than others. In this work, considering process variation, we propose an SLC-enabled wear leveling scheme through dynamic and adaptive mode transformation from MLC to SLC. Instead of redistributing write operations, the proposed scheme dynamically transforms weak and write-dense parts into SLC mode for endurance benefits. The experimental results show that the proposed scheme can improve the endurance by 215% with 4% storage overhead while maintaining the capacity advantage of MLC, compared with the most related work.
Renovated Cluster Based Routing Protocol for MANET

In this paper, we have proposed a Renovated Cluster Based Routing Protocol (RCBRP) for reducing routing overhead and to improve the routing discovery by integrating the inter-cluster on-demand and intra-cluster table-driven routing, which can increase the performance in the throughput, using simulation with NS-2.3. We are going to compare RCBRP with pure AODV Routing protocol.
Title : Applying Language Technology to Detect Shift Effects

We discuss an application of a technique from language technology to tag a corpus automatically and to detect syntactic differences between two varieties of Finnish Australian English, one spoken by the first generation and the other by the second generation. The technique utilizes frequency profiles of trigrams of part-of-speech categories as indicators of syntactic distance between the varieties. We then examine potential shift effects in language contact. The results show that we can attribute some interlanguage features in the first generation to Finnish substratum transfer. However, there are other features ascribable to more universal properties of the language faculty or to “vernacular” primitives. We conclude that language technology also provides other techniques for measuring or detecting linguistic phenomena more generally.
A hybrid DWT-SVD based robust watermarking scheme for color images and its comparative performance in YIQ and YUV Color Spaces

A robust watermarking scheme based on multi-resolution property of Discrete Wavelet Transform (DWT) for copyright protection has been proposed here. The division of information of the cover image into sub bands of varying detail and thereby, application of Singular Value Decomposition (SVD) to an appropriate sub band has been performed. Consequently, alteration of its singular values with the singular values of the watermark which is also a color image of same size as the original cover image of 512×512. The imperceptibility and robustness of the scheme has been measured with Peak Signal to Noise Ratio (PSNR) and Normalized Cross Correlation (NCC) values in the YIQ and YUV Color Spaces. High achievable values of the metrics validate the efficiency of the proposed scheme against the various attacks.
The List Decoding Radius of Reed-Muller Codes over Small Fields

The list decoding problem for a code asks for the maximal radius up to which any ball of that radius contains only a constant number of codewords. The list decoding radius is not well understood even for well studied codes, like Reed-Solomon or Reed-Muller codes. Fix a finite field F. The Reed-Muller code RMF(n,d) is defined by n-variate degree-d polynomials over F. In this work, we study the list decoding radius of Reed-Muller codes over a constant prime field F=Fp, constant degree d and large n. We show that the list decoding radius is equal to the minimal distance of the code. That is, if we denote by δ(d) the normalized minimal distance of RMF(n,d), then the number of codewords in any ball of radius δ(d)-ε is bounded by c=c(p,d,ε) independent of n. This resolves a conjecture of Gopalan-Klivans-Zuckerman [STOC 2008], who among other results proved it in the special case of F=F2; and extends the work of Gopalan [FOCS 2010] who proved the conjecture in the case of d=2. We also analyse the number of codewords in balls of radius exceeding the minimal distance of the code. For e ≤ d, we show that the number of codewords of RMF(n,d) in a ball of radius δ(e) - ε is bounded by exp(c • nd-e), where c=c(p,d,ε) is independent of n. The dependence on $n$ is tight. This extends the work of Kaufman-Lovett-Porat [IEEE Inf. Theory 2012] who proved similar bounds over F2. The proof relies on several new ingredients: an extension of the Frieze-Kannan weak regularity to general function spaces, higher-order Fourier analysis, and an extension of the Schwartz-Zippel-DeMillo-Lipton lemma to compositions of polynomials.
Design and measurement of a flexible implantable stripline-fed slot antenna for biomedical applications

A novel design of a stripline-fed flexible implantable antenna is proposed in this paper. The specialty of this antenna is its small design compared to the previous antennas of similar type. The antenna presented in this paper is designed to operate in the Industrial, Scientific and medical (ISM) band, (2.4–2.4835 GHz). The thickness of the antenna is only 0.887mm, meaning this antenna can easily be subjected to bent conditions. The whole strip line fed antenna is embedded inside a silicon layer of 0.443mm, resulting in an overall packed dimension of 10.125mm × 8.728mm × 1.505mm. The antenna was then placed inside a human tissue model before simulating it in CST Microwave studio. All the performance parameters of the antenna was measured and evaluated in both planar and bent conditions. Finally, the antenna was fabricated and SMA female connecter was used as the port of the antenna. Performance measurements were then taken using a Network analyzer and were compared with the simulated results.
The Fundamental Interconnectedness of All Things [ 1 ]

1. Motivation Where are enterprise distributed systems heading in the future? Technologies may come and go, but the trends are evident. Applications and systems are getting bigger and bigger. No matter what technologies are employed, we can expect to see programs with billions of lines of source, ported to hundreds of platforms, and interoperating across thousands perhaps millions of systems. Whether we use object technology, component technology, or whatever the future brings, we can be confident that systems will be compositions of many things. These things will be interconnected, interworking, and interdependent. How will we build these huge systems? How will we find and correct their bugs? All the research points the same way: the need for rapid development and rapid evolution, the need for interoperability, the need for traceability. We need to build, evolve and maintain a universe of things, fundamentally interconnected through both their definitions and their run-time interactions. This extended abstract outlines the Pegamento Architecture to tackle the holistic development and evolution of massive enterprise systems in Section 2. A key element, the Generator Generator, is introduced in Section 3, based on a transformation model described in Section 4. Section 5 concludes with an overview of the current implementation and future plans for the Generator prototype. The Pegamento Architecture is based on belief that the only scalable approach to massive enterprise systems is to substantially automate their development. However, automating code generation directly from user requirements is not feasible. Instead the Pegamento Architecture is based on the successive refinements of specifications, starting with very high-level technology-independent specifications, which are progressively refined (using generators) into more detailed specifications and into more technology-specific specifications. At each step, there may be scope for the programmer to introduce additional detail appropriate to that level of abstraction, or to request customisations in the generation of the target specification. The resultant specifications (programs or program fragments) can then be woven together to produce the code of the resultant system. There can be many steps in the overall system refinements, but the Pegamento Architecture characterises models as being either enterprise-level (not focussing on any technology concerns), technology-unifying models (which address a class of technologies, e.g. " messaging ") and technology-specific models (e.g. Java Messaging System). Refinements will typically pass through all these kinds of models. Often there will be many possible target models for a given source model, and an enterprise distributed system will …
State-Dependent Compound Inhibition of Nav1.2 Sodium Channels Using the FLIPR Vm Dye: On-Target and Off-Target Effects of Diverse Pharmacological Agents

Voltage-gated sodiumchannels (NaChs) are relevant targets for pain, epilepsy, and a variety of neurological and cardiac disorders. Traditionally, it has been difficult to develop structure-activity relationships for NaCh inhibitors due to rapid channel kinetics and state-dependent compound interactions. Membrane potential (V m)dyes in conjunctionwith a high-throughput fluorescence imaging plate reader (FLIPR) offer a satisfactory 1st-tier solution. Thus, the authors have developed a FLIPR V m assay of rat Na v1.2NaCh. Channels were opened by addition of veratridine, and Vm dye responses were measured. The IC50 values from various structural classes of compounds were compared to the resting state binding constant (K r)and inactivated state binding constant (K i)obtained using patch-clamp electrophysiology (EP). The FLIPR values correlated with Ki but not K r.FLIPRIC50 values fellwithin 0.1-to 1.5-fold of EPKi values, indicating that the assay generally reports use-dependent inhibition rather than resting state block. The Library of Pharmacologically Active Compounds (LOPAC, Sigma) was screened. Confirmed hits arose from diverse classes such as dopamine receptor antagonists, serotonin transport inhibitors, and kinase inhibitors. These data suggest that NaCh inhibition is inherent in a diverse set of biologically active molecules and may warrant counterscreening NaChs to avoid unwanted secondary pharmacology.
Teaching machine translation in a graduate language technologies program

This paper describes a graduate-level machine translation (MT) course taught at the Language Technologies Institute at Carnegie Mellon University. Most of the students in the course have a background in computer science. We discuss what we teach (the course syllabus), and how we teach it (lectures, homeworks, and projects). The course has evolved steadily over the past several years to incorporate refinements in the set of course topics, how they are taught, and how students “learn by doing”. The course syllabus has also evolved in response to changes in the field of MT and the role that MT plays in various social contexts.
Decision making of university teacher: motivating and inspiring students versus too high criticality and demands of teacher

Profession of a university teacher is extremely difficult and responsible. On the one hand, teachers are faced with a sense of high social responsibility for their work, and on the other hand, they need a high motivation for their work, often associated with a great deal of altruism and a sense of belonging with their colleagues and students. Based on the questionnaire survey, conducted on a sample of 357 students of University of Å½ilina, students deemed the skills to motivate and inspire students as essential attribute of a great university teacher. On the contrary, excessive criticism and demands of teachers in relation to students (which basically represents the mirror â€“ reflection â€“ of the teacherâ€™s perceived responsibility) is considered by students as inappropriate, undesirable attribute of teacher. Based on analysis, synthesis, comparison and generalization of theoretical knowledge and evaluation of the survey results, the aim of paper is to focus attention on two academic top- attributes of teacher: (a) the effort to instill in students a high responsibility for their own decisions/outcomes; (b) the skills to motivate and inspire students to expected results. To master a harmonized mixture of these two elements represents a difficult decision problem of many university teachers. Therefore, conclusion of the paper gives a simple qualitative model of decision-making that can simplify teacherâ€™s decision-making regarding the efforts to be popular among the students for easyÂ tasks and/versus be respected in motivating-and-inspiring approach based on precise and hard work and interaction of both the student and the teacher. Â
Expression of Neural Markers by Undifferentiated Mesenchymal-Like Stem Cells from Different Sources

The spontaneous expression of neural markers, already demonstrated in bone marrow (BM) mesenchymal stem cells (MSCs), has been considered as evidence of the MSCs' predisposition to differentiate toward neural lineages, supporting their use in stem cell-based therapy for neural repair. In this study we have evaluated, by immunocytochemistry, immunoblotting, and flow cytometry experiments, the expression of neural markers in undifferentiated MSCs from different sources: human adipose stem cells (hASCs), human skin-derived mesenchymal stem cells (hS-MSCs), human periodontal ligament stem cells (hPDLSCs,) and human dental pulp stem cells (hDPSCs). Our results demonstrate that the neuronal markers βIII-tubulin and NeuN, unlike other evaluated markers, are spontaneously expressed by a very high percentage of undifferentiated hASCs, hS-MSCs, hPDLSCs, and hDPSCs. Conversely, the neural progenitor marker nestin is expressed only by a high percentage of undifferentiated hPDLSCs and hDPSCs. Our results suggest that the expression of βIII-tubulin and NeuN could be a common feature of stem cells and not exclusive to neuronal cells. This could result in a reassessment of the use of βIII-tubulin and NeuN as the only evidence proving neuronal differentiation. Further studies will be necessary to elucidate the relevance of the spontaneous expression of these markers in stem cells.
Design and Evaluation of Performance of Printed English Characters and Numerals System Using a New Feature Extraction Technique

Character Recognition is the process of detecting and recognizing characters from an input image. It can improve the interface between human and machine in various applications and contributes vastly to the advancement of an automation process. In this paper, we are presenting a New Feature Extraction Technique for recognizing English Characters and Numerals in printed text. In this approach, first, we have preprocessed the input image so as to make it ready for line segmentation. After that we have extracted the connected components in whole image (line segmentation). Then characters have been extracted in each line (character segmentation). Finally extracted characters have been matched with templates characters so as to recognize the characters. We are also presenting the comparison of our approach with some of the previous character recognition approaches with accuracy and error rate. Our approach successfully recognizes 36 characters with 26 uppercase letters and 10 digits. All the implementation and experimental work has been done in MATLAB R2008a using general Matlab tool box and image processing tool box. Experimental results show that our approach is very robust and gives maximum recognition rate of 99%in comparison to other methods that are previously reported.
Using Hybrid Assessments to Develop Civic Competency in History

ABSTRACT This article addresses the problem of how to best design authentic writing assessments in history that support learners in demonstrating the types of higher order thinking skills needed for effective citizenship. Recent research has primarily focused on curriculum interventions intended to build disciplinary literacies through various types of document-based essay tasks. The authors argue for increased use of “hybrid” tasks that not only emphasize historical thinking, but also require ethical reasoning and decision-making as students consider enduring societal issues connected to the history curriculum. They offer recommendations for creating this type of task based on an in-depth analysis of an assessment implemented with tenth grade history students.
UPPAAL - present and future

UPPAAL is a tool for modelling, simulation and verification of real-time systems, developed jointly by BRICS at Aalborg University and the Department of Computer Systems at Uppsala University. The tool is appropriate for systems that can be modelled as a collection of non-deterministic processes with finite control structure and real-valued clocks, communicating through channels or shared variables. Typical application areas include real-time controllers and communication protocols in particular, those where timing aspects are critical. In this paper, we review the status of the currently distributed version of the tool as well as facilities to be found in upcoming releases.
Evaluation of the Ohio Rapid Assessment Method for Wetlands in the Western Great Lakes: An Analysis Using Bird Communities

ABSTRACT Rapid assessments are used as qualitative approaches to evaluate wetland quality in the absence of quantitative data and adequate time to assess wetland structure and function. To examine how rapid assessment methods assess bird assemblages in wetlands, we compared bird communities with both the Ohio Rapid Assessment Method (ORAM) and detailed data gathered from 51 coastal riverine wetlands in the western Great Lakes region. We found that birds did not choose wetlands at random but responded to vegetative structure and the degree of anthropogenic disturbance within and surrounding the wetland. ORAM scores adequately reflected the degree of anthropogenic disturbance affecting the wetlands but were insufficient to explain bird species richness or the abundance of several bird species that were obligates of these wetlands. Bird assemblages in the western Great Lakes region spanned a wider range of wetland conditions than were reflected in the ORAM scores. Modification of ORAM scores with a focus on submetrics related to anthropogenic disturbance and vegetative structure improved the ability of ORAM to reflect conditions important to wetland birds. ORAM could be improved for use in the western Great Lakes with a greater emphasis on the landscape context and anthropogenic disturbance of the wetland.