Miracle-dz/UniFAR-FTUs huggingface dataset:
Spiritual Intelligence Relationship with Organizational Citizenship Behavior of High School Teachers in Germi City

The present study is a survey method and terms of the target is practical and has done to explain the spiritual intelligence (Existential Intelligence, Personal intelligences, Transcendental Awareness and Conscious State Expansion) relationships with Organizational Citizenship Behavior (Sportsmanship, Courtesy, Conscientiousness, Civic Virtue and Altruism). The population was high school teachers in Germi City that were 400 peoples. We determined the amount of the sample size with the used of Cochran sampling method which the statistical sample is 196 of these employees which have been selected through the simple random sampling method. To gathering of data, we used two questionnaires with 44 items. In order to analyze the data resulted from collected questionnaires deductive and descriptive statistical methods are used. The results Kolmogorov-Smirnov Test shows the test distribution is Normal. So we can use Pearson Correlation coefficients to test the hypothesis of the research. Findings indicate the Spiritual intelligence (Existential Intelligence, Personal intelligences, Transcendental Awareness and Conscious State Expansion) have a strong positive relationship with Organizational Citizenship Behavior of high school teachers in Germi City.
Chair for Automata Theory LTCS – Report Multi-Sorted Conjunctive Queries with Concrete and Temporal Domains

Ontology-based data access (OBDA) is becoming increasingly important for answering user queries over large datasets. In this context, mostly relatively inexpressive ontology and query languages (such as DL-Lite and conjunctive queries (CQs)) are considered, as they enjoy the property of first-order rewritability, which allows to make use of existing database techniques for optimized query execution. In real-world datasets, one frequently encounters timestamps as well as concrete values obtained from measurements. In this paper, we extend DL-Lite and CQs by concrete domain predicates of arbitrary arity, and add a temporal dimension that allows us to reason over the evolution of the data. We correct and extend previous results about extensions of DL-Lite with concrete domains, and discuss restrictions we have to impose on our formalism in order to preserve first-order rewritability.
Longitudinal study of symptom severity and language in minimally verbal children with autism.

BACKGROUND A significant minority of children with autism spectrum disorder (ASD) are considered 'minimally verbal' due to language development stagnating at a few words. Recent developments allow for the severity of ASD symptoms to be examined using Autism Diagnostic Observation Schedule (ADOS) Social Affect (SA) and Restricted and Repetitive Behaviors (RRB) domain severity scores. The aim of the current study was to explore language outcomes in a cohort of minimally verbal children with autism evaluated through the preschool years and determine if and how ASD symptom severity in core domains predicts the development of spoken language by age 5. METHODS The sample consisted of 70 children with autism aged 1-5 years at the first evaluation who were examined at least 1 year later, during their fifth year of age. The ADOS overall level of language item was used to categorize children as minimally verbal or having phrase speech, and the Mullen Scales of Early Learning was used as a continuous measure of expressive language. RESULTS At Time 1, 65% (n = 47) of children in the sample were minimally verbal and by Time 2, 36% (n = 17 of 47) of them had developed phrase speech. While the Time 1 ADOS calibrated severity scores did not predict whether or not a child remained minimally verbal at Time 2, change in the SA calibrated severity score (but not RRB) was predictive of the continuous measure of expressive language. However, change in SA severity no longer predicted continuous expressive language when nonverbal cognitive ability was added to the model. CONCLUSIONS Findings indicate that the severity of SA symptoms has some relationship with continuous language outcome, but not categorical. However, the omnipresent influence of nonverbal cognitive ability was confirmed in the current study, as the addition of it to the model rendered null the predictive utility of SA severity.
ArchimedesOne: Query Processing over Probabilistic Knowledge Bases

Knowledge bases are becoming increasingly important in structuring and representing information from the web. Meanwhile, web-scale information poses significant scalability and quality challenges to knowledge base systems. To address these challenges, we develop a probabilistic knowledge base system, ArchimedesOne, by scaling up the knowledge expansion and statistical inference algorithms. We design a web interface for users to query and update large knowledge bases.In this paper, we demonstrate the ArchimedesOne system to showcase its efficient query and inference engines. The demonstration serves two purposes: 1) to provide an interface for users to interact with ArchimedesOne through load, search, and update queries; and 2) to validate our approaches of knowledge expansion by applying inference rules in batches using relational operations and query-driven inference by focusing computation on the query facts. We compare ArchimedesOne with state-of-the-art approaches using two knowledge bases: NELL-sports with 4.5 million facts and Reverb-Sherlock with 15 million facts.
Too long that wangga: analysing wangga texts over time

For the past forty or so years, Daly region song-men have joined with musicologists and linguists to document their wangga songs. This work has revealed a corpus of more than one hundred wangga songs composed in five language varieties Within this corpus are a few wangga texts recorded with their prose versions. I compare sung and spoken texts in an attempt to show not only what makes wangga texts consistently different from prose texts, but also how the most recent wangga texts differ from those composed some forty years ago.
Intercultural User Evaluation of the Design of Arabic Websites: A Case Study

The cultural background of web users is argued to play a key role in the way they interact with and perceive the usability and usefulness of websites. The objective of this case study is to identify Arab users’ preferences and expectations of the design of Arabic websites in order to examine whether these preferences are consistent with their cultural-specific attributes as described and predicted by Hofstede’s model of cultural dimensions. Thirty three participants from two Arab countries evaluated and compared two websites, one from their own country and a second one from another Arab country within the same culture. The preliminary results suggest that they show an overall preference for a website developed for their country over another from other Arab countries, even if they share the same culture1.
ENCOUNTER-BASED ROUTING IN DISASTER RECOVERY NETWORKS

The proliferation of wireless networking technology in a wide variety of devices allows for networks to exist in challenged environments where connectivity is intermittent. Networks capable of delivering data under such conditions are called delay or disruption tolerant networks (DTNs). A promenent example of a DTN is a disaster recovery network, in which emergency responders must be able to communicate even in complete infrastructure failure. Current work in routing protocols for these networks leverages epidemic-style algorithms that trade off injecting many copies of messages into the network for increased probability of message delivery. However, such techniques can cause a large amount of contention in the network, increase overall delays, and drain each mobile node’s limited battery supply. We present a new DTN routing algorithm, called Encounter-Based Routing (EBR), which maximizes delivery ratios while minimizing overhead and delay. Furthermore, we present a means of securing EBR against black hole denial-of-service attacks. To properly evaluate EBR, we develop an event-driven, role-based mobility model for disaster recovery networks that highlights several high-level characteristics of this environment. We then evaluate EBR against many of the best current DTN protocols showing substantial improvements in common metrics as well as three composite metrics that more effectively describe the quality of DTN routing algorithms.
AMALGHMA -An environment for measuring execution time and energy consumption in embedded systems

Measurement is an important activity whenever design embedded systems, as it provides means for platform characterization and selection as well as system validation and specification. The sample frequency is a key aspect for obtaining accurate and precise measures. Obtaining highly accurate and precise measures may require measurement systems able to gauge the system under measurement at very high sample rates. The sample rate and the sensing device of a measurement system are features that decisively affect its prices. Variability and noise are intrinsic phenomena to be handled, thus the adoption of robust and fast statistic methods are indispensable for accuracy, precision and may favour the cost reduction of measurement systems. This paper adopts a low cost measurement system for gauging execution time and energy consumption of embedded software applications. This platform allows designers to obtain accurate and precise estimates of software piece of codes as well as it is an attractive means for supporting embedded software code tuning.
Prevalence and Scanning Electron Microscopic Identification of Anoplocephalid Cestodes among Small Ruminants in Senegal

This study was undertaken to determine the prevalence of anoplocephalid cestodes in sheep and goats in Senegal. Intestines of 462 sheep and 48 goats were examined; 47.4% of sheep and 6.2% of goats were infected. The species identified and their prevalence were, among sheep, Avitellina centripunctata 38.7%, Moniezia expansa 15.4%, Stilesia globipunctata 16.7%, and Thysaniezia ovilla 0.4%. Among goats, they were M. expansa 6.2% and T. ovilla 2.1%. The prevalence of all species was not statistically different between dry and rainy seasons. The infections were single or multiple. Indeed, 56.2% of sheep were infected by a single species, 37.4% by two species, and 6.4% by three species. For goats, 66.7% were infected by M. expansa and 33.3% by both M. expansa and T. ovilla. Scanning electron microscopic (SEM) observations of tapeworms show the general diagnosis characters of these species.
Detecting and representing predictable structure during auditory scene analysis

We use psychophysics and MEG to test how sensitivity to input statistics facilitates auditory-scene-analysis (ASA). Human subjects listened to ‘scenes’ comprised of concurrent tone-pip streams (sources). On occasional trials a new source appeared partway. Listeners were more accurate and quicker to detect source appearance in scenes comprised of temporally-regular (REG), rather than random (RAND), sources. MEG in passive listeners and those actively detecting appearance events revealed increased sustained activity in auditory and parietal cortex in REG relative to RAND scenes, emerging ~400 ms of scene-onset. Over and above this, appearance in REG scenes was associated with increased responses relative to RAND scenes. The effect of temporal structure on appearance-evoked responses was delayed when listeners were focused on the scenes relative to when listening passively, consistent with the notion that attention reduces ‘surprise’. Overall, the results implicate a mechanism that tracks predictability of multiple concurrent sources to facilitate active and passive ASA. DOI: http://dx.doi. org/10.7554/eLife.19113. 001
A Distributed and Maximum-Likelihood Sensor Network Localization Algorithm Based Upon a Nonconvex Problem Formulation

We propose a distributed algorithm for sensor network localization, which is based upon a decomposition of the nonlinear nonconvex maximum likelihood (ML) localization problem. Decomposition and coordination are obtained by applying the alternating direction method of multipliers (ADMM), to provide a distributed, synchronous, and nonsequential algorithm. When penalty coefficients are locally increased under specific conditions, the algorithm is proved to converge irrespective of the chosen starting point. It is also shown to be fast and accurate, providing a performance, which is equivalent to that of a centralized solver. In the comparison with existing literature on distributed sensor network localization, the proposed method involves a much lighter local processing effort, an improved robustness in non-Gaussian scenarios, and a better adherence to the original problem.
Methylation of the Corticotropin Releasing Hormone Gene Promoter in BeWo Cells: Relationship to Gene Activity

Corticotropin releasing hormone (CRH) production by the human placenta increases exponentially as pregnancy advances, and the rate of increase predicts gestational length. CRH gene expression is regulated by cAMP in trophoblasts through a cyclic AMP-response element (CRE), which changes its transcription factor binding properties upon methylation. Here we determined whether methylation of the CRH proximal promoter controls basal and cAMP-stimulated CRH expression in BeWo cells, a well-characterized trophoblastic cell line. We treated the cells with 8-Br-cAMP and the DNA methyltransferase inhibitor 5-aza-2′ deoxycytidine (5-AZA-dC) and determined the effects on CRH mRNA level and promoter methylation. Clonal bisulfite sequencing showed partial and allele independent methylation of CpGs in the CRH promoter. CRH mRNA expression and the methylation of a subset of CpGs (including CpG2 in the CRE) increased spontaneously during culture. 8-Br-cAMP stimulated CRH expression without affecting the increase in methylation. 5-AZA-dC decreased methylation and augmented 8-Br-cAMP-stimulated CRH expression, but it blocked the spontaneous increase of CRH mRNA level. We conclude that the CRH promoter is a dynamically and intermediately methylated genomic region in BeWo cells. Promoter methylation did not inhibit CRH gene expression under the conditions employed; rather it determined the contribution of alternative cAMP-independent pathways and cAMP-independent mechanisms to CRH expression control.
Correlation-Aware Stripe Organization for Efficient Writes in Erasure-Coded Storage Systems

Erasure coding has been extensively employed for data availability protection in production storage systems by maintaining a low degree of data redundancy. However, how to mitigate the parity update overhead of partial stripe writes in erasure-coded storage systems is still a critical concern. In this paper, we reconsider this problem from two new perspectives: data correlation and stripe organization, and propose CASO, a correlation-aware stripe organization algorithm. CASO captures data correlation of a data access stream. It packs correlated data into a small number of stripes to reduce the incurred I/Os in partial stripe writes, and further organizes uncorrelated data into stripes to leverage the spatial locality in later accesses. By differentiating correlated and uncorrelated data in stripe organization, we show via extensive trace-driven evaluation that CASO reduces up to 25.1% of parity updates and accelerates the write speed by up to 28.4%.
Help-Seeking Behavior for Children with Acute Respiratory Infection in Ethiopia: Results from 2011 Ethiopia Demographic and Health Survey

Background Acute respiratory infection is a major contributor to morbidity and mortality among children under five years of age in Ethiopia. While facilities have been implemented to address this problem they are underused due to a lack in help-seeking behavior. This study investigates factors related to the help-seeking behavior of mothers for children with acute respiratory infection using data from the 2011 Ethiopia Demographic and Health Survey. Methods Data on 11,030 children aged 0–59 months obtained through interviewing women aged 15–49 years throughout Ethiopia was available. Descriptive statistics and logistic regression analyses were performed to determine which factors are related to help-seeking behavior for acute respiratory infection. Results In the two weeks prior to the survey, 773(7%) of the children were reported to have symptoms of acute respiratory infection while treatment was sought for only 209 (27.2%). The odds ratio for acute respiratory infection was 1.6 (95% CI: 1.2–2.0) for rural residence with only 25.2% of these mothers seeking help compared to 46.4% for mothers with an urban residence. Smaller family size, younger mothers’ age and having had prenatal care had a statistically significant odds ratio greater than 1 for both urban and rural residences. Highest wealth index had a statistically significant odds ratio greater than 1 for rural residence only, whereas primary education or higher had a statistically significant odds ratio greater than 1 for urban residence. Conclusions Children from rural areas are more at risk for acute respiratory infection while their mothers are less likely to seek help. Nevertheless, there is also underuse of available services in urban areas. Interventions should target mothers with less education and wealth and older mothers. Expanding prenatal care among these groups would encourage a better use of available facilities and subsequently better care for their children.
Obesity Is Associated With Progression of Atherosclerosis During Statin Treatment

Background This study aimed to determine the relationship of statin therapy and cardiovascular risk factors to changes in atherosclerosis in the carotid artery. Methods and Results Carotid magnetic resonance imaging was used to evaluate 106 hyperlipidemic participants at baseline and after 12 months of 3‐hydroxy‐3‐methylglutaryl coenzyme A reductase inhibitor (statin) treatment. Multivariable logistic regression was used to determine factors associated with progression (change in carotid wall volume >0) or regression (change ≤0) of carotid atherosclerosis. Computed tomography coronary calcium scores were obtained at baseline for all participants. The median age was 65 years (interquartile range 60–69 years), and 63% of the participants were male. Body mass index >30, elevated C‐reactive protein, and hypertension were associated with increased carotid wall volume (obesity: odds ratio for progression 4.6, 95% CI 1.8–12.4, P<0.01; C‐reactive protein: odds ratio for progression 2.56, 95% CI 1.17–5.73, P=0.02; hypertension: odds ratio 2.4, 95% CI 1.1–5.3, P<0.05). Higher statin dose was associated with regression of carotid wall volume (P<0.05). In multivariable analysis, obesity remained associated with progression (P<0.01), whereas statin use remained associated with regression (P<0.05). Change in atheroma volume in obese participants was +4.8% versus −4.2% in nonobese participants (P<0.05) despite greater low‐density lipoprotein cholesterol reduction in obese participants. Conclusions In a population with hyperlipidemia, obese patients showed atheroma progression despite optimized statin therapy. Clinical Trial Registration URL: http://www.clinicaltrials. gov. Unique identifier: NCT01212900.
Sliding-Mode Flux Observer With Online Rotor Parameter Estimation for Induction Motors

Field orientation techniques without flux measurements depend on the parameters of the motor, particularly on the rotor resistance or rotor time constant (for rotor field orientation). Since these parameters change continuously as a function of temperature, it is important that the value of rotor resistance is continuously estimated online. A fourth-order sliding-mode flux observer is developed in this paper. Two sliding surfaces representing combinations of estimated flux and current errors are used to enforce the flux and current estimates to their real values. Switching functions are used to drive the sliding surfaces to zero. The equivalent values of the switching functions (low-frequency components) are proven to be the rotor resistance and the inverse of the rotor time constant. This property is used to simultaneously estimate the rotor resistance and the inverse of the time constant without prior knowledge of either the rotor resistance or the magnetizing inductance. Simulations and experimental results prove the validity of the proposed approach
Versatility of the Accessory C Proteins of Sendai Virus: Contribution to Virus Assembly as an Additional Role

ABSTRACT The P/C mRNA of Sendai virus (SeV) encodes a nested set of accessory proteins, C′, C, Y1, and Y2, referred to collectively as C proteins, using the +1 frame relative to the open reading frame of phospho (P) protein and initiation codons at different positions. The C proteins appear to be basically nonstructural proteins as they are found abundantly in infected cells but greatly underrepresented in the virions. We previously created a 4C(−) SeV, which expresses none of the four C proteins, and concluded that the C proteins are categorically nonessential gene products but greatly contribute to viral full replication and infectivity (A. Kurotani et al., Genes Cells 3:111–124, 1998). Here, we further characterized the 4C(−) virus multiplication in cultured cells. The viral protein and mRNA synthesis was enhanced with the mutant virus relative to the parental wild-type (WT) SeV. However, the viral yields were greatly reduced. In addition, the 4C(−) virions appeared to be highly anomalous in size, shape, and sedimentation profile in a sucrose gradient and exhibited the ratios of infectivity to hemagglutination units significantly lower than those of the WT. In the WT infected cells, C proteins appeared to colocalize almost perfectly with the matrix (M) proteins, pretty well with an external envelope glycoprotein (hemagglutinin-neuraminidase [HN]), and very poorly with the internal P protein. In the absence of C proteins, there was a significant delay of the incorporation of M protein and both of the envelope proteins, HN and fusion (F) proteins, into progeny virions. These results strongly suggest that the accessory and basically nonstructural C proteins are critically required in the SeV assembly process. This role of C proteins was further found to be independent of their recently discovered function to counteract the antiviral action of interferon-α/β. SeV C proteins thus appear to be quite versatile.
Semantic Web and Big Data meets Applied Ontology - The Ontology Summit 2014

Leo Obrst a,∗, Michael Gruninger b, Ken Baclawski c, Mike Bennett d, Dan Brickley e, Gary Berg-Cross f, Pascal Hitzler g, Krzysztof Janowicz h, Christine Kapp i, Oliver Kutz j, Christoph Lange k, Anatoly Levenchuk l, Francesca Quattri m, Alan Rector n, Todd Schneider o, Simon Spero p, Anne Thessen q, Marcela Vegetti r, Amanda Vizedom s, Andrea Westerinen t, Matthew West u and Peter Yim v a The MITRE Corporation, McLean, VA, USA b University of Toronto, Toronto, Canada c Northeastern University, Boston, MA, USA d Hypercube Ltd., London, UK e Google, London, UK f Knowledge Strategies, Washington, DC, USA g Wright State University, Dayton, OH, USA h University of California, Santa Barbara, Santa Barbara, CA, USA i JustIntegration, Inc., Kissimmee, FL, USA j Otto von Guericke University Magdeburg, Magdeburg, Germany k University of Bonn, Bonn, Germany; Fraunhofer IAIS, Sankt Augustin, Germany l TechInvestLab.ru, Moscow, Russia m The Hong Kong Polytechnic University, Hong Kong n University of Manchester, Manchester, UK o PDS, Inc., Arvada, CO, USA p University of North Carolina, Chapel Hill, NC, USA q Arizona State University, Phoenix, AZ, USA r INGAR (CONICET/UTN), Santa Fe, Argentina s Criticollab, LLC, Durham, NC, USA t Nine Points Solutions, LLC, Potomac, MD, USA u Information Junction, Fareham, UK v CIM Engineering, Inc., San Mateo, CA, USA