Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards Scalable Real-time Analytics: An Architecture for Scale-out of OLxP Workloads

We present an overview of our work on the SAP HANA Scale-out Extension, a novel distributed database architecture designed to support large scale analytics over real-time data. This platform permits high performance OLAP with massive scale-out capabilities, while concurrently allowing OLTP workloads. This dual capability enables analytics over real-time changing data and allows fine grained user-specified service level agreements (SLAs) on data freshness. We advocate the decoupling of core database components such as query processing, concurrency control, and persistence, a design choice made possible by advances in high-throughput low-latency networks and storage devices. We provide full ACID guarantees and build on a logical timestamp mechanism to provide MVCC-based snapshot isolation, while not requiring synchronous updates of replicas. Instead, we use asynchronous update propagation guaranteeing consistency with timestamp validation. We provide a view into the design and development of a large scale data management platform for real-time analytics, driven by the needs of modern enterprise customers.
Embedding formal knowledge models in active documents

Symbolic models represented in operational form provide a powerful information technology for computer-based reasoning, for example, in incorporating an organization’s business rules in the operation of its information systems. Visual languages enable these models to be represented in semantic networks that are comprehensible to people and can be incorporated in documents such as the organization’s procedures manual. This article describes stand-alone and web technology for active documents incorporating knowledge bases represented by editable semantic networks supporting inference.
The Meaning of Health and Help-Seeking Behaviours Among Refugees Who Have Experienced Collective Violence Prior to Emigration: A Canadian Perspective

An interpretative phenomenological approach with a purposive sample of 3 men and 3 women was employed to explore the meaning of health and help-seeking behaviours of refugees living in Canada who have experienced collective violence in their countries of origin. Prior to migration, the participants’ meaning of health and help-seeking behaviours were fashioned by their embodied experience of life as nonexistent and meaningless. Post migration, their past lived experience of collective violence continued to shape their perceptions of their health and help-seeking behaviours. Participants call for a restructured system offering specialized mental health services for this population.
Estimating block transfers and join sizes

In this paper we provide estimates of the number of sequential and random block accesses required for retrieving a number of records of a file when the distribution of records in blocks of secondary storage is not uniform. We show how these results apply to estimating sizes of joins and semi-joins. We prove that when the uniformity of placement assumption is not satisfied it often leads to pessimistic estimates of performance. Finally we show a recursive estimation of the probability distribution of the number of blocks containing a given number of records.
A Comparative Study of Analysing Transformed and Noisy Data in Taguchi Orthogonal Arrays

—This comparative study focuses on various transformation methods of diversifying natural data to coded data. The findings provide the usefulness of obscuring confidential data and the widespread implementation of expedient methods of expanding product and process improvement. The natural data are generated via computer simulation under specific conditions of Taguchi experimental designs in forms of orthogonal arrays with and without noise. There are five transformed methods which include Box-Cox, Arcsine, Logit, Dual-power and Parabolic. Performance measures of the transformation methods are carried out via the ratio of signal-to-noise and an analysis of mean. Both of them are used to compare data analyses of all transformation methods for three cases of smaller-the -better, larger-the-better and target-the-better. Taguchi orthogonal arrays with and without noise are also considered results to compare influence of each capability of transformation methods. Furthermore, there is a determination of feasible ranges of transformation parameters to accomplish more suitable outcomes from natural data.
Patents, Thickets and the Financing of Early-Stage Firms: Evidence from the Software Industry

The impact of stronger intellectual property rights in the software industry is controversial. One means by which patents can affect technical change, industry dynamics, and ultimately welfare, is through their role in stimulating or stifling entry by new ventures. Patents can block entry, or raise entrants' costs in variety of ways, while at the same time they may stimulate entry by improving the bargaining position of entrants vis-a-vis incumbents, and supporting a "market for technology" which enables new ventures to license their way into the market, or realize value through trade in their intangible assets. One important impact of patents may be their influence on capital markets, and here we find evidence that the extraordinary growth in patenting of software during the 1990s is associated with significant effects on the financing of software companies. Start-up software companies operating in markets characterized by denser patent thickets see their initial acquisition of VC funding delayed relative to firms in markets less affected by patents. The relationship between patents and the probability of IPO or acquisition is more complex, but there is some evidence that firms without patents are less likely to go public if they operate in a market characterized by patent thickets.
Doing Prison Work: The Public and Private Lives of Prison Officers

Introduction 1. Setting the scene: the research in context 2. Research methods 3. Learning the rules, managing feelings: becoming a prison officer 4. Them and us? How officers see prisoners 5. Emotion and performance: the presentation of self in prisons 6. When things go wrong: suicide and conflict 7. How prison officers see their work, themselves and each other 8. Bringing it all back home? Stories of husbands and wives 9. Conclusions: doing prison work
The psychometric properties of the Recovery Experiences Questionnaire of employees in a higher education institution

The objective of this study was to investigate the factorial validity and reliability of scores from the Recovery Experience Questionnaire (REQ) in a higher education institution. As part of the measure validation, the relationships of the four recovery dimensions (psychological detachment, relaxation, mastery and control) to other variables in the nomological network (work-home interference, home-work interference and ill health) were investigated. Data was collected from 366 participants (females = 65.3%; white = 80.35%). Confirmatory factor analysis was used to test competing factorial models. The results supported a four-factor structure for the REQ. Relationships with other variables in the nomological network were all theoretically consistent, as expected.
Understanding the Limitations of Estimation Methods for Long-Range Dependence

Over the last ten years, long-range dependence (LRD) has become a key concept in modeling networking phenomena. The research community has undergone a mental shift from Poisson and memoryless processes to LRD and bursty processes. Despite its popularity, LRD analysis is hindered by two main problems: a) it cannot be used by nonexperts easily, and b) the identification of LRD is often questioned and disputed. The main cause for both these problems is the absence of a systematic and unambiguous way to identify the existence of LRD. This paper has two main thrusts. First, we explore the (lack of) accuracy and robustness in LRD estimation. We find that the current estimation methods can often be inaccurate and unreliable, reporting LRD erroneously. We search for the source of such problems and identify a number of caveats and common mistakes. For example, some of the methods misinterpret short-range correlations for LRD. Second, we develop methods to improve the robustness of the estimation. Through case studies, we demonstrate the effectiveness of our methods in overcoming most known caveats. Finally, we integrate all required functionality and methods in an easy to use software tool. Our work is a first step towards a systematic approach and a comprehensive tool for the reliable estimation of LRD.
Psychological Status in Moroccan Patients With Ankylosing Spondylitis and Its Relationships With Disease Parameters and Quality of Life

Background The evaluation of emotional status is an important parameter in management of rheumatic diseases. There are few studies evaluating the psychological status in ankylosing spondylitis (AS) and its relationships with disease parameters and quality of life. Objective In this study, we evaluated the psychological status in Moroccan patients with AS and its relationships with the activity of the disease, the functional status, and the quality of life. Patients One hundred ten patients were included in this cross-sectional study according to the modified New York criteria for AS. Psychological status was assessed by the Hospital Anxiety and Depression Scale (HADS) including the depression and anxiety subscales. The quality of life was evaluated by the Short Form 36. Results Depression was found in 55.5% and anxiety in 60% among our patients. The HADS depression and anxiety subscales were significantly correlated with clinical parameters and with worsening in all domains of the Short Form 36. Multivariate logistic regression analysis revealed that role limitations due to emotional problems, vitality, and general health perception were independent risk factors of anxiety. The Bath Ankylosing Spondylitis Functional Index, vitality, and role limitations due to emotional problems were the independent factors that influenced the risk of depression. Conclusion This study suggests that depression and anxiety are frequent in AS. Impaired quality of life and functional disability seemed to be independent risk factors of psychological disorders. Therefore, assessment and management of patients with AS should take into account the evaluation and management of their psychological disorders and improvement of their functional disability.
Building a Semantic Social Network Based on Interpersonal Relationships

With the emergence of the Smart phone, people can use Online Social Network Services ubiquitously, leading to a significant increase of the number of participants in online social networks. Under these circumstances, online users will require an intelligent and intuitive social relationship management system such as the ontology-driven browsing method. In this paper, to build a user-centered semantic social network and to represent entities and relationships with ontology to improve retrieval performance of the semantic social network, we will design our ontology extended from FOAF, RELATIONSHIP and propose a new method to compute closeness among friends using resources on social networks. Furthermore, we evaluate our ontology-driven browsing on via implementing a prototype system.
Colocalization of 14-3-3 Proteins with SOD1 in Lewy Body-Like Hyaline Inclusions in Familial Amyotrophic Lateral Sclerosis Cases and the Animal Model

Background and Purpose Cu/Zn superoxide dismutase (SOD1) is a major component of Lewy body-like hyaline inclusion (LBHI) found in the postmortem tissue of SOD1-linked familial amyotrophic lateral sclerosis (FALS) patients. In our recent studies, 14-3-3 proteins have been found in the ubiquitinated inclusions inside the anterior horn cells of spinal cords with sporadic amyotrophic lateral sclerosis (ALS). To further investigate the role of 14-3-3 proteins in ALS, we performed immunohistochemical analysis of 14-3-3 proteins and compared their distributions with those of SOD1 in FALS patients and SOD1-overexpressing mice. Methods We examined the postmortem brains and the spinal cords of three FALS cases (A4V SOD1 mutant). Transgenic mice expressing the G93A mutant human SOD1 (mutant SOD1-Tg mice), transgenic mice expressing the wild-type human SOD1 (wild-type SOD1-Tg mice), and non-Tg wild-type mice were also subjected to the immunohistochemical analysis. Results In all the FALS patients, LBHIs were observed in the cytoplasm of the anterior horn cells, and these inclusions were immunopositive intensely for pan 14-3-3, 14-3-3β, and 14-3-3γ. In the mutant SOD1-Tg mice, a high degree of immunoreactivity for misfolded SOD1 (C4F6) was observed in the cytoplasm, with an even greater degree of immunoreactivity present in the cytoplasmic aggregates of the anterior horn cells in the lumbar spinal cord. Furthermore, we have found increased 14-3-3β and 14-3-3γ immunoreactivities in the mutant SOD1-Tg mice. Double immunofluorescent staining showed that C4F6 and 14-3-3 proteins were partially co-localized in the spinal cord with FALS and the mutant SOD1-Tg mice. In comparison, the wild-type SOD1-Tg and non-Tg wild-type mice showed no or faint immunoreactivity for C4F6 and 14-3-3 proteins (pan 14-3-3, 14-3-3β, and 14-3-3γ) in any neuronal compartments. Discussion These results suggest that 14-3-3 proteins may be associated with the formation of SOD1-containing inclusions, in FALS patients and the mutant SOD1-Tg mice.
Gifted Black Males in an Urban High School: Factors That Influence Achievement and Underachievement

Many gifted African American males educated in large, urban high schools do not achieve at a level commensurate with their ability. The case studies reported in this article describe the experiences of two gifted African American males in an urban high school. Through a qualitative approach, the stories of Wallace, an achiever, and John, an under achiever, are told; and the factors that distinguished the school-life experiences of the two gifted Black young men are identified. The implications for fostering academic achievement in urban high schools are discussed, and recommendations are offered for educators and parents to encourage success in the lives of gifted African American young men.
Application of machine learning to epileptic seizure onset detection and treatment

Epilepsy is a chronic disorder of the central nervous system that predisposes individuals to experiencing recurrent seizures. It affects 3 million Americans and 50 million people world-wide. A seizure is a transient aberration in the brain's electrical activity that produces disruptive physical symptoms such as a lapse in attention and memory, a sensory hallucination, or a whole-body convulsion. Approximately 1 out of every 3 individuals with epilepsy continues to experience frequent seizures despite treatment with multiple anti-epileptic drugs. These intractable seizures pose a serious risk of injury, limit the independence and mobility of an individual, and result in both social isolation and economic hardship. This thesis presents novel technology intended to ease the burden of intractable seizures. At its heart is a method for computerized detection of seizure onset. The method uses machine learning to construct patient-specific classifiers that are capable of rapid, sensitive, and specific detection of seizure onset. The algorithm detects the onset of a seizure through analysis of the brain's electrical activity alone or in concert with other physiologic signals. When trained on 2 or more seizures and tested on 844 hours of continuous scalp EEG from 23 pediatric epilepsy patients, our algorithm detected 96% of 163 test seizures with a median detection delay of 3 seconds and a median false detection rate of 2 false detections per 24 hour period. In this thesis we also discuss how our detector can be embedded within a lowpower, implantable medical device to enable the delivery of just-in-time therapy that has the potential to either eliminate or attenuate the clinical symptoms associated with seizures. Finally, we report on the in-hospital use of our detector to enable delay-sensitive therapeutic and diagnostic applications. We demonstrate the feasibility of using the algorithm to control the Vagus Nerve Stimulator (an implantable neurostimulator for the treatment of intractable seizures), and to initiate ictal SPECT (a functional neuroimaging modality useful for localizing the cerebral site of origin of a seizure). Thesis Supervisor: John V. Guttag Title: Professor of Electrical Engineering and Computer Science
A web-based framework for urban data sharing and dynamic integration

In urban planning and management, data sharing and integration are always problematic because urban datasets are heterogeneous and scattered in different domains and organisations. This paper introduces the research work being carried within the Virtual Environment Planning (VEPS) project. Based on a loosely-coupled mediator system and Open Geospatial Consortium’s Web Services (OWS) architecture, a Web-based information service framework is designed to support the sharing and integration of geo-spatial information, building information and other related information. In this framework, a Building Feature Service (BFS) is defined to implement the retrieval of building information model on the Web according to the OWS principles. The BFS can act as a Web-based building information server for urban planning and construction stakeholders. As proof of concept, an initial prototype is developed to demonstrate the data sharing and integration based on this web-based information service framework.
Gender Differences in Output Quality and Quantity Under Competition and Time Constraints: Evidence from a Pilot Study

Gender gaps in income and level of position in the workplace are widespread. One explanation for this inequality is that the genders perform differently under competitive conditions, as previous experimental studies have found a significant gender gap in competitive tasks that are perceived to favor men. In this paper, we use a verbal task that is perceived to favor women and find no gender difference under competition per se. We also reject the hypothesis that a . stereotype threat. explains the inability of women to improve performance under competition. We propose an alternative explanation for gender inequality: namely, that women and men respond differently to time pressure. With reduced time pressure, competition in verbal tasks greatly increases the performance of women, such that women significantly outperform men. This effect appears largely due to the fact that extra time in a competition improves the quality of women’s work, leading them to make fewer mistakes. On the other hand, men use this extra time to increase the quantity of work, which results in a greater number of mistakes.
p27Kip1, PCAF and PAX5 cooperate in the transcriptional regulation of specific target genes

Abstract The cyclin-dependent kinase inhibitor p27Kip1 (p27) also behaves as a transcriptional repressor. Data showing that the p300/CBP-associated factor (PCAF) acetylates p27 inducing its degradation suggested that PCAF and p27 could collaborate in the regulation of transcription. However, this possibility remained to be explored. We analyzed here the transcriptional programs regulated by PCAF and p27 in the colon cancer cell line HCT116 by chromatin immunoprecipitation sequencing (ChIP-seq). We identified 269 protein-encoding genes that contain both p27 and PCAF binding sites being the majority of these sites different for PCAF and p27. PCAF or p27 knock down revealed that both regulate the expression of these genes, PCAF as an activator and p27 as a repressor. The double knock down of PCAF and p27 strongly reduced their expression indicating that the activating role of PCAF overrides the repressive effect of p27. We also observed that the transcription factor Pax5 interacts with both p27 and PCAF and that the knock down of Pax5 induces the expression of p27/PCAF target genes indicating that it also participates in the transcriptional regulation mediated by p27/PCAF. In summary, we report here a previously unknown mechanism of transcriptional regulation mediated by p27, Pax5 and PCAF.
Influence of distance measure choice on the results of hierarchical clustering

Hierarchical clustering method is used to assign observations into clusters which are further connected to form a hierarchical structure. Observations in the same cluster are close together according to the predetermined distance measure while observations belonging to distinct clusters are afar. This paper presents an implementation of specific distance measure used to calculate distances between observations which are described by a mixture of variable types. Data mining tool ‘Orange’ offers ways to program new modules in an efficient manner so it was used for implementation, testing, data processing and result visualization. Finally, a comparison was made between results obtained by previously available widget and output of newly programmed widget which employed new variable types and new distance measure.
WILLMAN 1—A PROBABLE DWARF GALAXY WITH AN IRREGULAR KINEMATIC DISTRIBUTION

We investigate the kinematic properties and stellar population of the Galactic satellite Willman 1 (Wil 1) by combining Keck/DEIMOS spectroscopy with Kitt Peak National Observatory mosaic camera imaging. Wil 1, also known as SDSS J1049+5103, is a nearby, ultra-low luminosity Milky Way companion. This object lies in a region of size–luminosity space (MV ∼ −2 mag, d ∼ 38 kpc, rhalf ∼ 20 pc) also occupied by the Galactic satellites Boötes II and Segue 1 and 2, but no other known old stellar system. We use kinematic and color–magnitude criteria to identify 45 stars as possible members of Wil 1. With a systemic velocity of vhelio = −12.8 ± 1.0 km s−1, Wil 1 stars have velocities similar to those of foreground Milky Way stars. Informed by Monte Carlo simulations, we identify 5 of the 45 candidate member stars as likely foreground contaminants, with a small number possibly remaining at faint apparent magnitudes. These contaminants could have mimicked a large velocity dispersion and abundance spread in previous work. The significant spread in the [Fe/H] of the highly likely Wil 1 red giant branch members ([Fe/H] = −1.73 ± 0.12 and −2.65 ± 0.12) supports the scenario that Wil 1 is an ultra-low luminosity dwarf galaxy, or the remnants thereof, rather than a star cluster. However, Wil 1's innermost stars move with radial velocities offset by 8 km s−1 from its outer stars and have a velocity dispersion consistent with 0 km s−1, suggesting that Wil 1 may not be in dynamical equilibrium. The combination of the foreground contamination and unusual kinematic distribution make it difficult to robustly determine the dark matter mass of Wil 1. As a result, X-ray or gamma-ray observations of Wil 1 that attempt to constrain models of particle dark matter using an equilibrium mass model are strongly affected by the systematics in the observations presented here. We conclude that, despite the unusual features in the Wil 1 kinematic distribution, evidence indicates that this object is, or at least once was, a dwarf galaxy.