Miracle-dz/UniFAR-FTUs huggingface dataset:
An Analysis of Ontology Engineering Methodologies: A Literature Review

It is now widely accepted that ontologies play a critical role in achieving the goal of machine understandable web, also known as semantic web. In order to develop ontologies, several methodologies have been proposed during the last two decades. Despite the fact, that quite a number of ontology engineering methodologies have been proposed, still the field lacks widely accepted and mature methodologies. Most methodologies lack sufficient details of techniques and activities employed in them. However, some methodologies provide sufficient details including METHONTOLOGY. This article discusses and reports a critical analysis and comparison of these methodologies. The analysis is performed based on a criterion, derived from related literature, trends and needs which evolved over the years. The results of the analysis showed that there is no completely mature methodology. Therefore, this research may act as a preliminary guide to come with a state of art ontology engineering methodology, bridging up the existing gaps and shortfalls.
Do Style and Sector Indexes Carry Momentum?

Existing literature documents that cross-sectional stock returns exhibit both price momentum and earnings momentum. In this paper, we examine whether commonly used style and sector indexes also have momentum patterns. We show that style indexes exhibit strong price momentum, but little evidence of earnings momentum. On the other hand, sector indexes exhibit both significant price momentum and earnings momentum. Moreover, we provide evidence that price momentum in style indexes can be explained by individual stock return momentum, whereas price momentum in sector indexes is driven by earnings momentum. Finally, we show that a dynamic momentum strategy can further enhance the performance of style investment even after adjusting for transaction costs.
The brightest black holes

I suggest that there are two classes of ultraluminous X-ray sources (ULXs), corresponding to super-Eddington mass inflow in two situations: (a) thermal-time-scale mass transfer in high-mass X-ray binaries, and (b) long-lasting transient outbursts in low-mass X-ray binaries. These two classes are exemplified by SS433 and microquasars like GRS 1915+105 respectively. The observed ULX population is a varying mixture of the two, depending on the star formation history of the host galaxy. ULXs in galaxies with vigorous star formation (such as the Antennae) are generally SS433-like, while ULXs in elliptical galaxies must be of the microquasar type. The latter probably have significantly anisotropic radiation patterns. They should also be variable, but demonstrating this may require observations over decades. The close analogy between models of X-ray binaries and active galactic nuclei (AGN) suggests that there should exist an apparently super-Eddington class of the latter, which may be the ultrasoft AGN, and a set of X-ray binaries with Doppler-boosted X-ray emission. These are presumably a subset of the ULXs, but remain as yet unidentified.
A simple and effective technique for human verification with Hand Geometry

This paper presents a new hand geometry based human verification technique which is efficient, simple, fast, easy to handle and cost effective compared to other verification techniques. Hand geometry is a popular biometric type in verification process. This hand geometry based verification comprises of two main attributes, (1) feature extraction by image processing and (2) feature learning by artificial neural network (ANN). For feature learning, distance based nearest neighbor (DBNN) algorithm has been applied. Using this approach, experimental results show 99.11% total success rate (TSR), 2.97% false acceptance rate (FAR) and 0% false rejection rate (FRR) (using 250 samples). A comparison is made between proposed method and published alternative hand geometry based methods at the end of this paper. The experimental results demonstrate that the proposed method outperforms the existing methods.
Solving Tensor Structured Problems with Computational Tensor Algebra

Since its introduction by Gauss, Matrix Algebra has facilitated understanding of scientific problems, hiding distracting details and finding more elegant and efficient ways of computational solving. Today's largest problems, which often originate from multidimensional data, might profit from even higher levels of abstraction. We developed a framework for solving tensor structured problems with tensor algebra that unifies concepts from tensor analysis, multilinear algebra and multidimensional signal processing. In contrast to the conventional matrix approach, it allows the formulation of multidimensional problems, in a multidimensional way, preserving structure and data coherence; and the implementation of automated optimizations of solving algorithms, based on the commutativity of all tensor operations. Its ability to handle large scientific tasks is showcased by a real-world, 4D medical imaging problem, with more than 30 million unknown parameters solved on a current, inexpensive hardware. This significantly surpassed the best published matrix-based approach.
Summary of paper 4 : Understanding relations and their graphical representation

In 2007, the Nuffield Foundation commissioned a team from the University of Oxford to review the available research literature on how children learn mathematics. The resulting review is presented in a series of eight papers: Papers 2 to 5 focus mainly on mathematics relevant to primary schools (pupils to age 11 years), while papers 6 and 7 consider aspects of mathematics in secondary schools. Paper 1 includes a summary of the review, which has been published separately as Introduction and summary of findings. Summaries of papers 1-7 have been published together as Summary papers.
NKCS, a Mutant of the NK-2 Peptide, Causes Severe Distortions and Perforations in Bacterial, But Not Human Model Lipid Membranes

NKCS is an improved mutant of the bioactive peptide NK-2, which shows strong activity against Escherichia coli and low toxicity towards human cells. The different activity demonstrates the relevance of the physico-chemical nature of the target membrane for the biological effect of this peptide. We studied the effect of this potent antimicrobial peptide on model membranes by activity studies, differential scanning calorimetry, single molecule tracking and tracer efflux experiments. We found that NKCS severely distorted, penetrated and perforated model lipid membranes that resembled bacterial membranes, but not those that were similar to human cell membranes. The interactions of NKCS with phosphatidylethanolamine, which is abundant in bacterial membranes, were especially strong and are probably responsible for its antimicrobial activity.
VAR Modeling for Dynamic Loadings Driving Volatility Strings

The implied volatility of an option as a function of strike price and time to maturity forms a volatility surface. Traders price according to the dynamics of this high dimensional surface. Recent developments that employ semiparametric models approximate the implied volatility surface (IVS) in a finite dimensional function space, allowing for a low dimensional factor representation of these dynamics. This paper presents an investigation into the stochastic properties of the factor loading time series using the vector autoregressive (VAR) framework and analyzes the dynamic relationship of these factors with economic indicators. Copyright The Author 2008. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org. , Oxford University Press.
Mood and the evaluation of leaders: a replication using an employee sample

A recently published study in Current Research in Social Psychology (Schyns & Sanders, 2003) focused on the relationship between mood and the perception of leadership. Although this experimental study showed a relationship between mood and the perception of management-by-exception passive, most of the hypotheses could not be confirmed. The present study tries to overcome the most important restrictions of that prior study and seeks to examine the same hypotheses using an employee sample and a different assessment of mood. Results indicate that mood and the perception of leadership are indeed connected, especially in the case of less active leadership styles. Controlling for effects of contact with the leader did not alter these results.
Demonstrating Rigor Using Thematic Analysis: A Hybrid Approach of Inductive and Deductive Coding and Theme Development

In this article, the authors describe how they used a hybrid process of inductive and deductive thematic analysis to interpret raw data in a doctoral study on the role of performance feedback in the self-assessment of nursing practice. The methodological approach integrated data-driven codes with theory-driven ones based on the tenets of social phenomenology. The authors present a detailed exemplar of the staged process of data coding and identification of themes. This process demonstrates how analysis of the raw data from interview transcripts and organizational documents progressed toward the identification of overarching themes that captured the phenomenon of performance feedback as described by participants in the study.
The Impact of Socioeconomic Conditions, Social Networks, and Health on Frail Older People's Life Satisfaction: A Cross-Sectional Study

It has been shown that frailty is associated with low levels of well-being and life satisfaction. Further exploration is needed, however, to better understand which components constitute life satisfaction for frail older people and how satisfaction is related to other life circumstances. The aim of this study was to examine relationships between frail older people’s life satisfaction and their socioeconomic conditions, social networks, and health-related conditions. A cross-sectional study was conducted (n=179). A logistic regression analysis was performed, including life satisfaction as the dependent variable and 12 items as independent variables. Four of the independent variables made statistically significant contributions: financial situation (OR 3.53), social contacts (OR 2.44), risk of depression (OR 2.26), and self-rated health (OR 2.79). This study demonstrates that financial situation, self-rated health conditions and social networks are important components for frail older people’s life satisfaction. Health and social care professionals and policy makers should consider this knowledge in the care and service for frail older people; and actions that benefit life satisfaction – such as social support – should be promoted.
Chicano Scholars: Against All Odds,

Abstract : Hispanics have an astoundingly dismal record of educational attainment. Of those who attend college, about two-thirds attend two-year institutions where attrition rates are very high. And of the total number of Hispanics who attened college, about half drop out before completing their degrees. The net result is that about 2% of all bachelor's degrees conferred go to Hispanics, and Chicanos, of course, are a fraction of that number. Only 7% of that tiny fraction of degrees are earned in the biological and physical sciences. The picture gets worse as we look at doctoral degree recipients. Only slightly more than 1% of all doctoral degrees conferred go to Hispanics who are U.S. citizens. Of these, less than 15% are in the sciences. This report discusses some of the people who form that tiny group--Chicanos who pursued advanced degrees--and some of the factors they suggested were important in achieving their goals.
Actitracker: A Smartphone-Based Activity Recognition System for Improving Health and Well-Being

Actitracker is a smartphone-based activity-monitoring service to help people ensure they receive sufficient activity to maintain proper health. This free service allowed people to set personal activity goals and monitor their progress toward these goals. Actitracker uses machine learning methods to recognize a user's activities. It initially employs a "universal" model generated from labeled activity data from a panel of users, but will automatically shift to a much more accurate personalized model once a user completes a simple training phase. Detailed activity reports and statistics are maintained and provided to the user. Actitracker is a research-based system that began in 2011, before fitness trackers like Fitbit were popular, and was deployed for public use from 2012 until 2015, during which period it had 1,000 registered users. This paper describes the Actitracker system, its use of machine learning, and user experiences. While activity recognition has now entered the mainstream, this paper provides insights into applied activity recognition, something that commercial companies rarely share.
Adenosine A2A Receptor: A Target for Regulating Renal Interstitial Fibrosis in Obstructive Nephropathy

Renal interstitial fibrosis (RIF) is the common pathological process of chronic kidney diseases leading inevitably to renal function deterioration. RIF and its preceding epithelial-mesenchymal transition (EMT) are commonly triggered by an early occurring renal inflammation. However, an effective approach to prevent EMT and RIF is still lacking and of urgent need. Recently, the adenosine A2A receptor (A2AR) emerges as a novel inflammation regulator, therefore manipulation of A2AR may suppress the EMT process and as such protect against RIF. To test this hypothesis we applied a unilateral ureteral obstruction (UUO) model of RIF on A2AR knockout mice and their wild-type littermates, combined with the intervention of a selective A2AR agonist, CGS 21680. On days 3, 7 and 14 post-UUO we evaluated the effects of A2AR manipulation on the molecular pathological progresses of RIF, including the cellular component of interstitial infiltration, expression of profibrotic factors, cellular biomarkers of EMT, and collagen deposition of extracellular matrix. Our data demonstrated that activation of A2AR significantly suppressed the deposition of collagen types I and III, reduced the infiltration of CD4+ T lymphocytes, and attenuated the expression of TGF-β1 and ROCK1, which in turn inhibited and postponed the EMT progress. Conversely, genetic inactivation of A2AR exacerbated the aforementioned pathological processes of UUO-induced RIF. Together, activation of A2AR effectively alleviated EMT and RIF in mice, suggesting A2AR as a potential therapeutic target for the treatment of RIF.
Angelman syndrome: evolution of the phenotype in adolescents and adults

Individuals with Angelman syndrome (AS) have severe learning disability, * at axia, seizures, dysmorphic facies, a happy, sociable disposition, and inability to speak. Most of the literature concerning the clinical features of AS has concentrated on younger children. This study aimed to look at the natural history of AS by documenting the clinical features in a group of 28 adolescents and adults with AS (12 males, 16 females; age range 16 to 40 years). Specific aspects studied included physical characteristics, general health, mobility, seizure disorder, behaviour and communication, and self‐help skills. Problems seen in this older group of individuals differed significantly from those typically observed in younger children. The incidence of scoliosis and joint contractures increased with age. Facial features were more striking in adults. Hyperactivity and concentration improved and the sociable disposition persisted. There were subtle clinical differences between the groups of individuals with different underlying genetic abnormalities. Information obtained from this study is relevant to diagnosis and management of older individuals with AS.
Impact of LOS/NLOS propagation and path loss in ultra-dense cellular networks

Most prior work on performance analysis of ultradense cellular networks (UDNs) has considered standard power-law path loss models and non-line-of-sight (NLOS) propagation modeled by Rayleigh fading. The effect of line-of-sight (LOS) on coverage and throughput and its implication on network densification are still not fully understood. In this paper, we investigate the performance of UDNs when the signal propagation includes both LOS and NLOS components. Using a stochastic geometry based cellular network model, we derive expressions for the coverage probability, as well as tight approximations and upper bounds for both closest and strongest base station (BS) association. Our results show that under standard singular path loss model, LOS propagation increases the coverage, especially with nearest BS association. On the contrary, using dual slope path loss, LOS propagation is beneficial with closest BS association and detrimental for strongest BS association.
Towards a Consolidation of Worldwide Journal Rankings — A Classification Using Random Forests and Aggregate Rating via Data Envelopment Analysis

The question of how to assess research outputs published in journals is now a global concern for academics. Numerous journal ratings and rankings exist, some featuring perceptual and peer-review-based journal ranks, some focusing on objective information related to citations, some using a combination of the two. This research consolidates existing journal rankings into an up-to-date and comprehensive list. Existing approaches to determining journal rankings are significantly advanced with the application of a new classification approach, ‘random forests’, and data envelopment analysis. As a result, a fresh look at a publication׳s place in the global research community is offered. While our approach is applicable to all management and business journals, we specifically exemplify the relative position of ‘operations research, management science, production and operations management’ journals within the broader management field, as well as within their own subject domain.
The Impact of Augmenting Traditional Instruction with Technology-based, Experiential Exercise

Traditional instruction, under an experiential learning model, is neither the sole nor a sufficient means of learning. Learning systems that engage students as contributors to learning offer opportunities for educators. The availability of technology to support experiential exercises represents one opportunity to augment traditional instruction. In a quasi-experiment, traditional-only instruction was compared with traditional instruction augmented with a technology-based, experiential exercise. The two instructional methods were evaluated based on student learning, intended behavior, and satisfaction. Our findings suggest that augmented instruction significantly increased student learning and satisfaction. The implications for students are clear. However, there are also noteworthy implications for faculty.
Integrated Evaluation of Age-Related Changes in Structural and Functional Vascular Parameters Used to Assess Arterial Aging, Subclinical Atherosclerosis, and Cardiovascular Risk in Uruguayan Adults: CUiiDARTE Project

This work was carried out in a Uruguayan (South American) population to characterize aging-associated physiological arterial changes. Parameters markers of subclinical atherosclerosis and that associate age-related changes were evaluated in healthy people. A conservative approach was used and people with nonphysiological and pathological conditions were excluded. Then, we excluded subjects with (a) cardiovascular (CV) symptoms, (b) CV disease, (c) diabetes mellitus or renal failure, and (d) traditional CV risk factors (other than age and gender). Subjects (n = 388) were submitted to non-invasive vascular studies (gold-standard techniques), to evaluate (1) common (CCA), internal, and external carotid plaque prevalence, (2) CCA intima-media thickness and diameter, (3) CCA stiffness (percentual pulsatility, compliance, distensibility, and stiffness index), (4) aortic stiffness (carotid-femoral pulse wave velocity), and (5) peripheral and central pressure wave-derived parameters. Age groups: ≤20, 21–30, 31–40, 41–50, 51–60, 61–70, and 71–80 years old. Age-related structural and functional vascular parameters profiles were obtained and analyzed considering data from other populations. The work has the strength of being the first, in Latin America, that uses an integrative approach to characterize vascular aging-related changes. Data could be used to define vascular aging and abnormal or disease-related changes.
Temporal Properties of Cygnus X-1 during the Spectral Transitions

We report the results from our timing analysis of 15 Rossi X-Ray Timing Explorer observations of Cygnus X-1 throughout its 1996 spectral transitions. The entire period can be divided into three distinct phases: (1) transition from the hard state to the soft state, (2) soft state, and (3) transition from the soft state back to the hard state. The observed X-ray properties (both temporal and spectral) in Phases 1 and 3 are remarkably similar, suggesting that the same physical processes are likely involved in triggering such transitions. The power density spectrum (PDS) during the transition can be characterized by a low-frequency red-noise (power-law) component, followed by a white-noise (flat) component that extends to roughly 1-3 Hz, where it is cut off, and a steeper power law (~1/f2) at higher frequencies. The X-ray flux also exhibits apparent quasi-periodic oscillations (QPOs), with the centroid frequency varying in the range of 4-12 Hz. The QPO shows no correlation with the source flux, but it becomes more prominent at higher energies. This type of PDS bears resemblance to that of other black hole candidates often observed in a so-called very high state, although the origin of the observed QPO may be very different. The low-frequency red noise has not been observed in the hard state, and thus seems to be correlated positively with the disk mass accretion rate, which is presumably low in the hard state and high in the soft state; in fact, it completely dominates the PDS in the soft state. In the framework of thermal Comptonization models, Cui et al. recently speculated that the difference in the observed spectral and timing properties between the hard and soft states is due to the presence of a "fluctuating" Comptonizing corona during the transition. Here we present the measured hard X-ray time lags and coherence functions between various energy bands, and we show that the results strongly support such a scenario.