Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Organizational Agility in Reinforcing Job Engagement: A Study on Industrial Companies in Egypt

Background, In the current turbulent and highly competitive environment, organizational agility (OA), that is the ability of organizations to quickly sense and respond to environmental changes, is an important determinant of organization success. Purpose, The purpose of this research is to identify the types of OA (sensing agility, decision-making agility and acting agility) and its role in promoting job engagement (JE) of the employees at the Egyptian industrial companies in Sadat city. Research Design/Methodology, To assess positive OA, refer to (OA Questionnaire, Jaworski & Kohli, 1993) and JE (JE Questionnaire, Rich et al. (2010) are used). The data of the study was collected from 315 employees at the Egyptian industrial companies in Sadat city. Out of the 372 questionnaires that were distributed to employees at industrial companies in Egypt, 315 usable questionnaires were returned, a response rate of 85%. Multiple Regression Analysis (MRA) was used to confirm the research hypotheses. Findings, The researcher has found that the study subjects do agree that OA directly affects the dimensions of JE of the employees at the industrial companies involved in the current study. Practical implications: This research helps to stimulate scientific research, particularly in terms of testing the model content, as well as studying the study variables and the factors affecting them. In addition, this research pointed to the need for organizations to practice OA in order to be able to meet contemporary intense competition, as this trend is to play an important role in enhancing JE. Originality/value: This research dealt with OA in terms of its concept and dimensions, in addition to dealing with the role of OA in promoting JE at the Egyptian industrial companies in Sadat City.
BIMTag: Semantic annotation of web BIM product resources based on IFC ontology

With the rapid popularization of BIM technologies, BIM resources such as building product libraries are growing rapidly on the web. However, these numerous resources are usually from heterogeneous systems or various manufacturers, possibly with ambiguous expressions and unclear relationships for product descriptions, which do not effectively support information retrieval. Inspired by the Semantic Web techniques, this paper presents a new semantic annotation method for web BIM product resources based on IFC ontology. First, a domain-specific ontology is built to represent the knowledge in AEC for semantic annotation, which mainly utilizes the concepts and relationships defined in the IFC schema. Then with reference to the ontology, an automatic concept annotation method is proposed to annotate web BIM resources. A prototype system, named BIMTag, is developed and applied to a search engine for demonstrating the utility and effectiveness of our method.
PHYTO CHEMICAL SCREENING AND EVALUATION OF ANTI-FUNGAL ACTIVITY ON THE SEED EXTRACTS OF ANNONA SQUAMOSA ( L ) AND MANILKARA ZAPOTA ( L . )

The aim of the study is to evaluate the antifungal activity of extracts of two plant species against the fungi Aspergillus niger and Candida albicans. The plants were selected on the basis of their reported ethnobotanical uses. Hydro alcoholic extract of the seeds of Annona squamosa (L) and Manilkara zapota (L.) are investigated for antifungal activity against Aspergillus niger and Candida albicans. The hydro alcoholic extract showed broad spectrum of significant activity on all the two microorganisms by producing zone of inhibition. The extracts of Annona squamosa (L). and Manilkara zapota (L.) could be considered as potential sources of antifungal compounds for treating fungal infections. These extracts exhibited momentous activity, even at very lower concentrations.
Hourly Predictions of PM 10 Emissions for Emergency Episode Perception Comparatively using ANN and SVM-R Techniques

Predicting short-term levels of air pollutant’s emission is an important issue in the air pollution field considering its potential to help local authorities to enact preventative measures. The aim of the present work is to comparatively develop reliable artificial neural network and support vector machine regression models (ANN and SVM-R) to obtain accurate predictions of future hourly PM10 concentrations in the atmosphere for one hour ahead. Hourly based air pollution data with meteorological factors have been used in training and testing stages of constructed models. The inputs to models were structured using a combination of time sequenced meteorological and air pollution data from a lagged-dataset. Time series plots of the data showed seasonal air pollution of PM10 emissions whose hourly values were up to 891 μg/m 3 . Thus, in the pollution monitoring region the PM10 levels may adversely affect human health. The obtained models were utilized in establishing an alert system for online PM10 emissions based on the threshold values reported in the National Air Quality Assessment and Management Regulation. ANN models optimized with Broyden Fletcher Goldfarb Shanno (BFGS) algorithm and SVM-R parameters were optimized by grid search. The results of the statistical analysis of the models have shown reasonable accuracy in terms of perception of short-term pollution episodes. A simple program for hourly PM10 prediction was also developed using the best ANN and SVM-R models.
Effects of Cognitive Remediation Therapy in Children with Autism Spectrum Disorder: Study Protocol

Background: Autism spectrum disorder is known to be associated with cognitive dysfunction. This impairment has an impact on academic difficulties and represents the main treatment target. Cognitive remediation therapy attempts to improve cognitive deficits by teaching information processing strategies through guided mental exercises. The aim of this study is to investigate whether cognitive remediation therapy, a new psychological treatment, improves cognitive function and, in turn school performance in children with autism spectrum disorder. Methods/Design: Children meeting the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) criteria for autism spectrum disorder, and following a regular school curriculum were recruited from clinical population at the Child and Adolescent Psychiatry Department in Razi University Hospital – Manouba Tunisia. The intervention was individual cognitive remediation therapy delivered over a period of six months with one session per week. The main outcome measures were intellectual abilities, cognitive flexibility, working memory, clinical symptoms and school results. Patients showed significant improvement on intellectual abilities, phonemic fluency, « animal » category of semantic fluency, working memory, clinical symptoms and school results. Discussion: This is one of the first trials to evaluate the effects of cognitive remediation on cognitive function in patients with autism spectrum disorder who encounter cognitive difficulties. Conclusion: Cognitive Remediation Therapy was able to show significant positive effects on neurocognition, clinical symptoms and school results among children with autism spectrum disorder.
A New Mechanism for Cement Hydration Inhibition: Solid-State Chemistry of Calcium Nitrilotris(methylene)triphosphonate

The reaction of the cement retarder nitrilo-tris(methylene)phosphonic acid, N[CH2PO(OH)2]3 (H6ntmp) with calcium oxide, tricalcium silicate (C3S), tricalcium aluminate (C3A), and tetracalcium aluminoferrite (C4AF) has been studied individually, and in the case of C3A in the presence of gypsum, to gain an understanding of the effect on the individual minerals prior to studying a typical sample of Portland cement. The reaction of H6ntmp with calcium oxide results in the initial formation of soluble [Ca(Hnntmp)](4-n)-, which precipitates over time as [Ca(H4ntmp)(H2O)]∞, whose sheetlike structure has been confirmed by single-crystal X-ray diffraction. The study of the hydration of C3S in the presence of H6ntmp indicates that no C−S−H forms, and the surface changes from silicon-rich to calcium-rich associated with the formation of various calcium phosphonates. The hydration of C3A is severely inhibited in the presence of H6ntmp, with the phosphonic acid reacting primarily with calcium as opposed to aluminum to.
Correction: Stability of nonlinear stochastic recursions with application to nonlinear AR-GARCH models

We characterize the Lyapounov exponent and ergodicity of nonlinear stochastic recursion models, including nonlinear AR-GARCH models, in terms of an easily defined uniformly ergodic process. Properties of this latter process, known as the collapsed process, also determine the existence of moments for the stochastic recursion when it is stationary. As a result, both the the stability of a given model and the existence of its moments may be evaluated with relative ease. The method of proof involves piggybacking a Foster-Lyapounov drift condition on certain characteristic behavior of the collapsed process. AMS 2000 subject classification: primary 60G10, 60J05; secondary 62M10, 91B84. key words: stochastic recursion, GARCH, ergodicity, stationary distribution running title: Stability of Nonlinear Stochastic Recursions dcline@stat.tamu. edu
Resource-Based Effect of Strategy and Entrepreneurship Orientation of Small and Micro Advantage Competitive (Studies in Ethnicity Services Business Maluku)

The critical role of small and medium enterprises in the Indonesian economy is not aligned with the level of competitiveness. Publication of The Global Competitiveness Report published by the World Economic Forum in 2008 showed Indonesia's competitiveness in the global competition ranks 55th of 134 countries. This study is explanatory with quantitative approach. Population is the small business/micro enterprises Maluku ethnicity who move in the services sector, while the samples used in this study was 100 respondents. Sampling in this study using a non-probability sampling method, using judgment sampling techniques. Resource-based strategy is actualized in resources and capabilities increased the entrepreneurial orientation. Resource-based strategy can better improve the competitiveness in terms of cost advantage, differentiation advantage of small businesses and micro-enterprises, especially ethnic Maluku business services. Entrepreneurial orientation in terms of innovative attitude, proactive risk-taking can enhance the competitiveness of small businesses and micro enterprises in terms of ethnic Maluku cost advantage, differentiation advantage and excellence focus.
Quantized-Dialog Language Model for Goal-Oriented Conversational Systems

We propose a novel methodology to address dialog learning in the context of goal-oriented conversational systems. The key idea is to quantize the dialog space into clusters and create a language model across the clusters, thus allowing for an accurate choice of the next utterance in the conversation. The language model relies on n-grams associated with clusters of utterances. This quantized-dialog language model methodology has been applied to the end-to-end goal-oriented track of the latest Dialog System Technology Challenges (DSTC6). The objective is to find the correct system utterance from a pool of candidates in order to complete a dialog between a user and an automated restaurant-reservation system. Our results show that the technique proposed in this paper achieves high accuracy regarding selection of the correct candidate utterance, and outperforms other state-of-the-art approaches based on neural networks.
The Attributes of Japanese Corporate Governance Influencing the Quality of Internal Controls

This study examines the corporate governance characteristics that influence the improvement in the quality of internal controls. Previous studies suggest that corporate governance independence and expertise affect the quality of internal controls (Krishnan et al. 2005; Hoitash et al. 2009). In Japan, however, any company that discloses significant deficiencies (SD) in internal controls has the motive to increase the independence of corporate governance to mitigate any subsequent negative consequences. As a result, independent directors are made the scapegoats, rather than allowing them to fulfill the expectation of improvement in the quality of internal controls. On the other hand, directors with financial expertise that have a high status in a company do influence the improvement in SD in internal controls. This suggests that in Japan it is important to provide financial experts with the power and authority to improve the quality of internal controls in the short term, due to the difference in the provisions between the Financial Instruments and Exchange Act (J-SOX) and the Sarbanes¨COxley Act (SOX). The requirements in Japanese Corporate Law (JCL) for independent directors are not as strict as those within SOX. Therefore, companies in which the boards are able to promote expert directors to important positions improve the quality of internal controls more often than those that are not. It is thus revealed that auditors should be able to discuss with the financial experts as to what is required to improve any significant deficiencies that are detected in the process of internal control audits.
Magnetic Resonance Imaging Heat Deposition In Non-uniform Ellipsoidal Objects

In this work we compute the Specific Absorption Rate (SAR) of radio frequency fields in ellipsoidal geometries representing regions of the human head under Magnetic Resonance Imaging (MRI) studies. The E & M fields were calculated by the T-Matrix algorithm. The SAR presented here shows strong conductivity and
Granitic melt viscosities : Empirical and configurational entropy models for their calculation

Newly measured viscosities of a low HrO-content granitic melt and a low HrO-content albitic melt have been combined with viscosity data from the literature to create two new models for the calculation of granitic melt viscosities at crustal pressures and temperatures between 700 and 900 "C; one model is purely empirical, and the other is based on configurational entropy theory. When the molecular weight of the anhydrous melt is calculated on the basis of eight O atoms, or assumed to be 260 gram formula weight (gfw), and the total HrO concentration is expressed by its mole fraction, the viscosity, r, of perand metaluminous granitic melts, -70-76 wto/o SiOr, can be calculated from the following empirical equations: For X! ij" 0.25, los a: Q.02926497 53.198903)Xii l" 0.01292077 + 24.2973
Optimization of Acid Pretreatment in order to Increase the Phenolic Content of Picea abies Bark by Surface Response Methodology

The purpose of this work was to determine the main factors influencing the phenolic content of bark during acid hydrolysis. The optimization of polysaccharides hydrolysis was done by response surface methodology. The hydrolysis was performed under atmospheric pressure in an aqueous solution of sulfuric acid. An experimental design was applied to analyze the effects of the reaction time (5 to 24 hours), acid concentration (3 to 20%), and solid/liquid ratio (1/10 to 1/5) on the weight loss, lignin content, holocellulose content, and sugar yield for the hydrolysis. The pretreated bark had a high lignin content of 60% resulting from hemicelluloses hydrolysis and phenolic compound condensation.
On the Forecasting Ability of ARFIMA Models When Infrequent Breaks Occur

Recent research has focused on the links between long memory and structural breaks, stressing the memory properties that may arise in models with parameter changes. In this paper, we question the implications of this result for forecasting. We contribute to this research by comparing the forecasting abilities of long memory and Markov switching models. Two approaches are employed: the Monte Carlo study and an empirical comparison, using the quarterly Consumer Price inflation rate in Portugal in the period 1968--1998. Although long memory models may capture some in-sample features of the data, we find that their forecasting performance is relatively poor when shifts occur in the series, compared to simple linear and Markov switching models. Copyright Royal Economic Socciety 2004
FLOW DIAGRAMS OF THE TECHNOLOGY HIERARCHY

This paper re-examines the action-operation-practice-technology-experience (AOPTE) hierarchy in relation to Information Hierarchy of Ackoff and Hierarchy of Needs of Maslow, focusing on the fact that structural hierarchy (architecture), used to introduce and define major structural levels, can be left aside when the hierarchy is considered from a functional standpoint. A technological method was defined and its application in the creation of technological functional flow diagrams was illustrated. A technological flow diagram was created, integrating four flow diagrams that reflect the creation of technologies and capitalization of knowledge in human capital.
Initiation of an Elevated Mesoscale Convective System Associated with Heavy Rainfall

Abstract A mesoscale convective system (MCS) developed during the morning hours of 6 June 1993 and moved across northern and central Missouri, resulting in a narrow swath of excessive rainfall (>150 mm). The MCS developed well north of a surface warm front above a cool, stable boundary layer and moved east–southeast across the state. Although some features of the synoptic environment agree with the frontal flash flood composite model, predicting the elevated thunderstorms that composed the MCS posed a unique forecasting challenge. This paper first describes the diagnostic parameters of the prestorm environment that would have been helpful to predict the initiation of the MCS and the resultant locally excessive precipitation. Attention is then drawn to the MCS itself via IR satellite and WSR-88D imagery. Finally, the similarities and differences of this episode to previous studies of flash flooding and elevated thunderstorms are noted, and a summary of key parameters useful in the anticipation of this type.
The role of intragastric balloon on EBL %, homeostasis of lipid and satiety hormone

The prevalence of obesity is increasing worldwide. Obesity is associated with a number of health related problems, so treating obesity is an important clinical concern. Intra-gastric balloon (IGB) represents, in the short-term, an alternative for obese patients none responding to diet and reluctant to surgery. Many hormones including Leptin and Ghrelin seem to play an important role in the regulation of food intake and body weight. The aim of this study was to prospectively assess the ghrelin- and leptin-induced changes before intragastric balloon treatment and at 2, 4 & 6 months of follow-up. The study was conducted on 26 patients with BMI > 40 Kg/m² presented for Intragastric Balloon insertion during the period between June 2015 and February 2016. FBG, HbA1c, lipid profile, serum level of Leptin and Ghrelin were measured before and after 2, 4 and 6 months of Intragastric balloon procedure. The use of intragastric balloon for 6 months caused a significant reduction in bodyweight and BMI. The mean weight of the participants decreased to 96.92 Kg, mean BMI decreased to 35.46 Kg/m 2 and mean fat % declined to 40.02 %. The mean loss in the excess BMI loss (EBL) was 63.37 %. There was a significant reduction in Fasting blood glucose, HbA1c, serum cholesterol, serum triglycerides, serum LDL, serum VLDL and serum Leptin level Meanwhile use of Intragastric balloon caused a significant increase in serum HDL and serum Ghrelin level. Use of intragastric balloon for 6 months significantly reduces body weight and BMI. Moreover, Intragastric balloon strongly affects glucose homeostasis, lipid metabolism in addition to hormones involved in energy balance mainly serumleptin and ghrelin.
Effects of autologous adipose stem cells on dermis layer thickness and fibroblast cells number in photoaging nude mice model

Objective: To investigate the effects of autologous Adipose Stem Cells (ASCs) on the thickness of dermis and the number of fibroblasts in nude mice. As a result, relevant experimental basis was provided for clinical application of autologous ASCs in skin photoaging therapy. Methods: 50 SPF grade balb/c nude mice were selected and divided into 5 groups: normal group (n=10), photoaging model group (n=10), photoaging+ASCs group (n=10), photoaging+PBS group (n=10), photoaging+aminoguanidine group (n=10). In addition to the normal group, the remaining groups were constructed by UV irradiation to establish a photoaging model. After successful modeling, the mice in the ASCs group were injected with 1 ml ASCs (at a concentration of 1 × 106 cells/ml); the nude mice in the photoaging+PBS group were performed intradermal injection of equal dose of PBS. The mice in the photoaging+aminoguanidine group were performed intradermal injection of aminoguanidine (100 mg/ kg). After 4 w of feeding, dorsal skin in each group was observed. The thickness of the dermis was observed by Masson staining, and the number of fibroblasts was counted. Result: The skin gloss and elasticity of the nude mice were significantly lower than those in the normal group. The skin gloss and elasticity of photoaging+ASCs group and photoaging+aminoguanidine group were significantly higher than those of the normal group. Compared with the normal group, the dermal thickness and the number of fibroblasts decreased in photoaging group (P 0.05). Conclusion: ASCs transplantation can significantly increase the dermal layer thickness of nude mice and increase the number of fibroblasts. ASCs transplantation can be used to improve skin aging caused by light injury.
5 Dryad Execution Engine-An Introduction

A distributed execution engine is a software systems which runs on a cluster of networked computers and presents the illusion of a single and reliable machine that provides large aggregate amount of computational and I/O performance. Each machine in these networked systems is capable of handling data-dependent control flow. The computational power effectiveness of a distributed execution engine is determined by the expressiveness of the data execution model which describes the distributed computations. Distributed executed engines are attractive because they shield developers from distributed and parallel computing’s challenging aspects such as task scheduling, data synchronization, transferring data and dealing with failures in networks. A general purpose of high performance distributed execution engine for coarse-grain data parallel application is proposed which enables the developers to create easily large scale distributed application without requiring them to gain expertise on concurrency techniques beyond being able to draw a graph of the data dependencies of their algorithms. Based on the graph of DEEs, a job manager intelligently distributes the workload of network data processing so that the resources of execution engines are used efficiently. During the run time, a job manager automatically modifies the graph in order to improve the efficiency of data flow, and these modifications are based on run time information [1].
Neutron elastic diffuse scattering study of Pb „ Mg

We have performed elastic diffuse neutron-scattering studies on the relaxor Pb(Mg 1/3Nb2/3)O3. The measured intensity distribution near a ~100! Bragg peak in the~hk0! scattering plane assumes the shape of a butterfly with extended intensity in the ~110! and (11̄0) directions. The temperature dependence of the diffuse scattering shows that both the size of the polar nanoregions and the integrated diffuse intensity increase with cooling even for temperatures below the Curie temperature TC;213 K.