Miracle-dz/UniFAR-FTUs huggingface dataset:
Use of ramipril in preventing stroke: double blind randomised trial

Abstract Objective: To determine the effect of the angiotensin converting enzyme inhibitor ramipril on the secondary prevention of stroke. Design: Randomised controlled trial with 2×2 factorial design. Setting: 267 hospitals in 19 countries. Participants: 9297 patients with vascular disease or diabetes plus an additional risk factor, followed for 4.5 years as part of the HOPE study. Outcome measures: Stroke (confirmed by computed tomography or magnetic resonance imaging when available), transient ischaemic attack, and cognitive function. Blood pressure was recorded at entry to the study, after 2 years, and at the end of the study. Results: Reduction in blood pressure was modest (3.8 mm Hg systolic and 2.8 mm Hg diastolic). The relative risk of any stroke was reduced by 32% (156 v 226) in the ramipril group compared with the placebo group, and the relative risk of fatal stroke was reduced by 61% (17 v 44). Benefits were consistent across baseline blood pressures, drugs used, and subgroups defined by the presence or absence of previous stroke, coronary artery disease, peripheral arterial disease, diabetes, or hypertension. Significantly fewer patients on ramipril had cognitive or functional impairment. Conclusion: Ramipril reduces the incidence of stroke in patients at high risk, despite a modest reduction in blood pressure. What is already known on this topic Treatment with aspirin and lowering blood pressure reduce the incidence of stroke What this study adds Ramipril, an angiotensin converting enzyme inhibitor, reduces strokes in patients at high risk whose blood pressure is not elevated, despite only a modest lowering of blood pressure The benefits are observed even when patients receive aspirin and other blood pressure lowering treatments
Gender Roles in Transition: Research and Policy Implications for Higher Education.

It has long been recognized that the goals of higher education involve "the cultivation not only of the intellect and of practical competence but also of the affective dispositions, including the moral, religious, emotional, social, and esthetic aspects of the personality" [3, p. 33]. Life-cycle theorists (e.g., [5, 7, 8]) point out that the college years are a period when young adults must deal with a number of critical tasks: breaking loose from their families and establishing independent identities; clarifying their values and convictions; evaluating their strengths and weaknesses; and making basic decisions about marriage, children, and work.
A DC programming approach for the constrained two-dimensional non-guillotine cutting problem ?

We investigate a new application of DC (Difference of Convex functions) programming and DCA (DC Algorithm) in solving the constrained two-dimensional non-guillotine cutting problem. This problem consists of cutting a number of rectangular pieces from a large rectangular object. The cuts are done under some constraints and the objective is to maximize the total value of the pieces cut. We reformulate this problem as a DC program and solve it by DCA. The performance of the approach is compared with the standard solver CPLEX.
Automatic curve selection for lens distortion correction using Hough transform energy

It is advantageous but difficult to automatically and accurately estimate parameters of lens models from single images, particularly in internet image processing and thermal image processing. As not all objects have straight edges, it is natural that some edges should be straight and some should be curved in undistorted images. Therefore, the key problem is how to find curved lines in original images that should be straight in undistorted images. In this paper, a novel algorithm is proposed to solve this key problem by automatically selecting reliable line segments using high-order Hough transform energies. Experimental results show that the proposed algorithm is able to detect reliable lines and produce quality results for both indoor and outdoor images taken by different cameras using wide-angle and fisheye lenses as well as zoom lenses.
MyoD1 and Myogenin Expression in Human Neoplasia: A Review and Update

The MyoD1 family of myogenic nuclear regulatory proteins includes MyoD1/myf3 and myogenin/myf4. These genes and their proteins are critical for skeletal muscle development. Antibodies to MyoD1 and myogenin are relatively recent additions to the armamentarium of the surgical pathologist. This article reviews the biology of the myogenic nuclear regulatory proteins and their use in the diagnosis of rhabdomyosarcoma. Special attention is given to technical and interpretative issues critical to the use of these antibodies in diagnostic pathology.
The Breakout Heuristic: A Phenomenology of Growth Therapy with College Students

TIHE well-known four-stage cycle of creative thought (Woodward & Schlosberg, 1954) is diagrammed on the inner circle of Figure 1. A similar phenomenological pattern underlying the illumination or "ah-ha! " experience leading to the discovery of new ideas is often described by creative scientists, artists, and mathematicians. It is curious that this well-documented cycle of inner experience has never been used as a model for psychotherapy where the basic problem is also one of bringing together a mass of data (one's personal experiences) so that new insights ("ah-ha! " experiences) can be worked through for a better integration of the whole personality.
Reorganisation in energiebewussten Dateisystemen

As mobile computing devices become more and more popular, the corresponding hardware and applications become more complex, comfortable, and thus energy hungry. Since the main advantage of mobile devices is their ability to work without a stationary power supply an important challenge has been to reduce power consumption, thereby prolonging the uptime of the devices in battery mode. One way to reduce the energy needs of a mobile device is the adoption of a special data layout on its storage devices, which accounts for the mechanical mode of operation of a hard disk. Such a special data layout is, for example, a log-structured file system. The major disadvantage of a log-structured file system is that it wastes storage space during operation in order to reduce energy consumption. To reclaim the wasted space, a particular free space management is necessary. While there are multiple possibilities with different advantages and disadvantages, all methods involve some overhead and an increased energy consumption. The question is whether the addition of such a free space manager will negate the energy efficiency of a log-structured file system and thus make log-structured file systems unsuitable for saving energy. This work analyzes the properties of different free space management techniques and gives recommendations for their application in log-structured file systems. Implementations of variants of a certain class of free space management are described and tested for performance and energy consumption. Measurements of the cleaning processes were performed for different fragmentations and in comparison to other file systems. Although the two tested prototypes are similar, they show vast performance differences under certain circumstances.
Accelerating Link Community Detection in Social Networks

Online social networks such as Facebook have become the most popular sites on the Internet. These networks usually contain millions or even billions of registered users and the users can interact with each other, which results in highly connected communities of friends, families or occupations. The communities in social networks are usually overlapped or even nested, but most of overlapping detection methods have trouble scaling to large networks. In this paper, we propose a fast link clustering (FLC) algorithm to discover link communities. By studying power-law degree distribution of online social networks, we propose working with a reduced graph that has fewer nodes and links but nonetheless captures key community structure. Experiments demonstrate efficiency and accuracy on different real networks ranging from small-scale traditional benchmarks to large-scale ground-truth social networks. FLC can accurately discover network communities as well as the overlaps between communities, and meanwhile it can scale to online social networks with millions of nodes.
SIFT, BoW Architecture and one-against-all Support Vector Machine

Abstract. For this first participation to ImageClef Plant Identification, we build on the reference Bag-of-Word framework (BoW). We extract Points-of-Interest (PoI) using the SIFT detector in every image and describe each local feature with the SIFT descriptor. The visual dictionary is built with a K-means algorithm of 100 clusters on the local features. Each image is then represented by its histogram onto the dictionary using hard-assignment strategy. We classify the images with as many binary one-against-all Support Vector Machines as the number of plant classes per organ types. Our aim is to evaluate for the plant identification task a classic baseline of multi-class image categorization. Our first results illustrate how difficult this task is and that a framework which has become a standard baseline for classifying general image datasets is not immediately relevant on Plant Identification data.
Face Detection using Rectangle Features and SVM

accurate face detection in still gray level images. Characteristics of intensity and symmetry in eye region are used as robust cues to find possible eye pairs. Three rectangle features are developed to measure the intensity relations and symmetry. According to the eye-pair-like regions which have been found, the corresponding square image patches are considered to be face candidates, and then all the candidates are verified by using SVM. Finally, all the faces in the image are detected. The proposed method is robust to deal with illumination changes and glasses wearing. The proposed method is evaluated on the CMU and BioID face database. Experimental results demonstrate its effectiveness.
Alternating Forms of Lock-in: Publishing Digital News in the Path of a Free Content Culture

The digitization of work and life has generated numerous market opportunities that remain untapped. The realization of strategic potentials of digitization is particularly difficult for path-dependent firms that are locked-in and perceive little scope of action to deviate from their established strategic patterns. In order to gain deeper insights into this phenomenon, we draw on qualitative data from the newspaper industry to explore how the scope of action evolves in lock-ins. We show that the scope of action continuously changes, as new market opportunities emerge and disappear. In particular, cognitive and normative barriers impede the realization of these strategic options until windows of opportunity close and the emergence of new market opportunities opens up new windows of opportunity that may be used to escape the established strategic pattern. Our research results provide several theoretical contributions, such as clarifying the role of digital technology for strategy development in lock-ins and providing empirical evidence for a continuously changing range of strategic options in lock-ins that alters the chances to break the path.
DMD #47316 Metabolism, Excretion, and Pharmacokinetics of ((3,3-difluoropyrrolidin-1-yl)((2S,4S)-4-(4- (pyrimidin-2-yl)piperazin-1-yl)pyrrolidin-2-yl)methanone, a DPP-IV Inhibitor, in Rat, Dog and Human

246 Introduction: 469 Discussion: 1447 References: 24 Tables: 6 Figures: 11 Abbreviations: DPP-IV, dipeptidyl peptidase IV; GLP-1 glucogen-like peptide 1; PF-00734200, 3,3-Difluoropyrrolidin-1-yl)((2S,4S)-4-(4-(pyrimidin-2-yl)piperazin-1-yl)pyrrolidin-2yl)methanone, ESI, electrospray ionization; HFAA, hexaflouroacetylacetone; SD, Sprague Dawley; GLP-1, glucagon like peptide; FAP, fibroblast activation protein; APP, aminopeptidase P; POP, propyl oligopeptidase. 2 This article has not been copyedited and formatted. The final version may differ from this version. DMD Fast Forward. Published on August 15, 2012 as DOI: 10.1124/dmd.112. 047316 at A PE T Jornals on A ril 2, 2017 dm d.aspurnals. org D ow nladed from
Is the Glass Half‐Full or Half‐Empty? The Relationship of Big and Little Optimism With Acute and Longer Term Exercise‐Related Social Cognitions

Big optimism reflects generalized expectations about longer term positive outcomes. Little optimism reflects specific expectations about acute positive outcomes. This study examined the relationships among big optimism, little optimism, and acute (decisional struggle, coping self-efficacy) and longer term exercise-related social cognitions (scheduling self-efficacy, intention). Participants were 85 fitness-setting exercisers. Measures were obtained concurrently. Regression analyses indicated that, as expected, big optimism predicted the longer term social cognitions and little optimism predicted struggle. Big optimism also predicted coping self-efficacy and modestly predicted struggle. A multivariate analysis of variance (MANOVA) indicated that, as expected, big optimists differed from big pessimists on the longer term social cognitions. Groups also differed on coping self-efficacy. A second MANOVA indicated that, as expected, little optimists differed from little pessimists on the acute social cognitions.
The Sphere of Influence of Information Systems Journals: A Longitudinal Study

The paper examines the issue of the information systems (IS) discipline’s influence as represented by its key journals. We examine the well-studied topics of cumulative tradition and reference disciplines from two unique perspectives: cohesion and stability. We demarcate journals into “IS journals” and “non-IS journals that are receptive to IS work” and examine the sphere of influence of these journals based on citations over time. Specifically, we compute a logmultiplicative model to identify subareas in the IS discipline and assess journal influence using the index of structural influence based on citations from a basket of 42 IS and IS-related journals over four periods: 1999-2000, 2004-2005, 2009-2010, and 2013-2014. Results indicate that the IS discipline has established a stable and cohesive knowledge underpinning, which converges with emerging (newer) journals and diverges with non-IS journals during the late period. These results suggest that the discipline has developed boundary conditions and a strong cumulative tradition. Furthermore, based on our analysis, pure IS journals gradually gained dominance in their own network and even started to exert influence in the broader network of journals. These findings provide a unique complement to other recent studies that signify the IS discipline’s influence.
Smart Detection of Vehicle in Illegal Parking Area by Fusing of Multi-features

Due to aisle, emergency lanes and other functional areas with rare events and lack of monitoring, an algorithm for smart detection of vehicle in illegal parking area was proposed. Firstly, region of interesting was selected. Secondly, Gaussian Mixture Model was used for background construction, and moving objects were detected by background subtraction. Thirdly, morphological processing was used for detection of relatively complete target, then fusing of ellipse fitting, compacted features detection and tire circularity detection for vehicle recognition. Experiments show that this algorithm could realize monitoring exactly and keep illegal parking area smooth.
Cultural Consensus and Cultural Diversity

This study uses mixed methods and theory from cognitive anthropology to examine the cultural models of domestic violence among domestic violence agency workers, welfare workers, nurses, and a general population comparison group. Data collection and analysis uses quantitative and qualitative techniques, and the findings are integrated for interpretation. Findings reveal consensus among service providers on how controllable domestic violence factors are and whether they are most characteristic of victims or perpetrators, but diversity with regard to their understandings of the importance of the factors suggesting that occupational category alone is inadequate in predicting service providers' beliefs and subsequent delivery of services. The implications of the findings extend into the areas of domestic violence service delivery, cognitive anthropology, and mixed methods research.
Sleep Deprivation Affects Thermal Pain Thresholds but Not Somatosensory Thresholds in Healthy Volunteers

Objective: Sleep disturbances have been thought to augment pain. Sleep deprivation has been proven to produce hyperalgesic effects. It is still unclear whether these changes are truly specific to pain and not related to general changes in somatosensory functions. The aim of the present study was to evaluate the effect of total sleep deprivation on thermal pain thresholds (heat, cold) and pain complaints. Thermal detection thresholds (warmth, cold) were included as covariates to determine the contribution of somatosensory functions to changes in pain processing. Methods: Twenty healthy volunteers were randomly assigned either to two nights of total sleep deprivation or to two nights of undisturbed night sleep. Sleep deprivation nights were separated by two days with normal night sleep. Heat and cold pain thresholds as well as warmth and cold detection thresholds were measured by use of a peltier thermode in the evening before and the morning after each deprivation or control night. Pain complaints were examined by use of a questionnaire in parallel. Results: During treatment nights, sleep deprivation produced a significant overnight decrease in heat pain thresholds. Cold pain thresholds tended to decrease also during sleep deprivation, whereas the warmth and cold detection thresholds remained unaffected. Accordingly, no substantial contributions of the changes in thermal detection thresholds to the changes in thermal pain thresholds were determined by regression analyses. Pain complaints were not induced by sleep deprivation. Conclusions: The present findings suggest that sleep deprivation produces hyperalgesic changes that cannot be explained by nonspecific alterations in somatosensory functions. REM = rapid eye movement; SEM = standard error of the mean.
The Challenge of September 11 to Secularism in International Relations

The attacks of September 11, 2001, highlight the general absence of attention to religion in international scholarship. The absence is understandable, for it arises from the secularized nature of the authority structure of the international system, described here as the "Westphalian synthesis. " Over the past generation, though, the global rise of public religion has challenged several planks of the synthesis. The sharpest challenge is "radical Islamic revivalism," a political theology that has its roots in the early twentieth century and that gave rise to al-Qaeda. If international relations scholars are to understand the events of September 11, they ought to devote more attention to the way in which radical Islamic revivalism and public religion shape international relations, sometimes in dramatic ways.
Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing)

Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances in computational geometry and machine learning, however, may alleviate the problems in using these methods on large data sets. This volume presents theoretical and practical discussions of nearest-neighbor (NN) methods in machine learning and examines computer vision as an application domain in which the benefit of these advanced methods is often dramatic. It brings together contributions from researchers in theory of computation, machine learning, and computer vision with the goals of bridging the gaps between disciplines and presenting state-of-the-art methods for emerging applications.The contributors focus on the importance of designing algorithms for NN search, and for the related classification, regression, and retrieval tasks, that remain efficient even as the number of points or the dimensionality of the data grows very large. The book begins with two theoretical chapters on computational geometry and then explores ways to make the NN approach practicable in machine learning applications where the dimensionality of the data and the size of the data sets make the naive methods for NN search prohibitively expensive. The final chapters describe successful applications of an NN algorithm, locality-sensitive hashing (LSH), to vision tasks.
FGF signaling regulates mesenchymal differentiation and skeletal patterning along the limb bud proximodistal axis

Fibroblast growth factors (FGFs) are signals from the apical ectodermal ridge (AER) that are essential for limb pattern formation along the proximodistal (PD) axis. However, how patterning along the PD axis is regulated by AER-FGF signals remains controversial. To further explore the molecular mechanism of FGF functions during limb development, we conditionally inactivated fgf receptor 2 (Fgfr2) in the mouse AER to terminate all AER functions; for comparison, we inactivated both Fgfr1 and Fgfr2 in limb mesenchyme to block mesenchymal AER-FGF signaling. We also re-examined published data in which Fgf4 and Fgf8 were inactivated in the AER. We conclude that limb skeletal phenotypes resulting from loss of AER-FGF signals cannot simply be a consequence of excessive mesenchymal cell death, as suggested by previous studies, but also must be a consequence of reduced mesenchymal proliferation and a failure of mesenchymal differentiation, which occur following loss of both Fgf4 and Fgf8. We further conclude that chondrogenic primordia formation, marked by initial Sox9 expression in limb mesenchyme, is an essential component of the PD patterning process and that a key role for AER-FGF signaling is to facilitate SOX9 function and to ensure progressive establishment of chondrogenic primordia along the PD axis.
Shielding effectiveness evaluation of rectangular enclosure with high-order modes transmission line model

As a rectangular enclosure with apertures can be represented by a waveguide with its termination short circuited, the shielding effectiveness of the enclosure is calculated by the transmission line model. The voltage along the transmission line is obtained analytically, and the calculated shielding effectiveness fits well to the previous reference. Slots in different shapes are discussed, and multimodes propagation is also taken into account.
The Balance Ability of Fallers and Non-Fallers in Psychiatric Patients at a Long Term Care Unit

With the increasing age, chronicity of illness, and medication side-effects, the psychiatric patients tend to have higher incidence of commodity and rate of accidents. Falls is the most devastating accidents and the ability to maintain balance is pivotal for the well-beings of this population. It appeared that different patterns of fall risk factors may be evident in psychiatric patients but with few scientific evidence. The existing tools for evaluation of risk of falls were not applicable on this population. This study intended to quantitatively measure the balance ability in psychiatric patients with and without fall history. The results could further contribute to falls prevention in long term care unit.