Miracle-dz/UniFAR-FTUs huggingface dataset:
Automating Account Management on an Academic HPC System with Authentication Federation

There is increasing demand for High-Performance Computing (HPC) cluster systems because more and more computational resources are necessary to carry out large-scale simulations and machine learning which are a crucial part of research and business today. There are two choices of HPC cluster systems: academic HPC cluster systems and public cloud services. Academic HPC cluster systems can be used with reasonable usage fees, although they take a long time until the cluster system is ready to use, because of its user registration procedure. On the other hand, public cloud services, such as Amazon Web Services, can be used immediately, but the utilization fees are expensive compared with those for academic systems. To fill the gaps between them, we propose an academic HPC cluster system with automated user registration that allows users to utilize the HPC cluster on demand.
Entrepreneurial Orientation and Business Performance amongst Microbusinesses in Nigeria

This article aims at examining the relationship between Entrepreneurial Orientation (EO) and performance of the micro businesses within the context of a developing country. The study specifically examined whether EO significantly predicts increase in sales, assets and employees’ satisfactions respectively of micro businesses. The approach adopted for the study was exploratory, where by a survey was done on a total of 273 micro businesses from four different sectors; Retail; ICT Manufacturing and Artisans. The data gathered therefrom were analysed using the Pearson’s Product Moment Correlation analysis.This study confirms the universal empirical evidence that EO has positive and significant relationships with business performance. The study also suggested that EO amongst micro businesses will lead to increase in sales, increase in assets and as well as increase in employees’ satisfaction of micro businesses. Given the research design adopted by the study, and as well as the scope covered by the study, the findings from this study may lack generalization. The implications of the study are that EO is the way out for micro businesses if the wish to perform better. This paper highlighted the importance of a neglected form of business, and also provided new dimensions for the measures of micro business performance.
Importance of the identification of the CYP3A4*2 polymorphism for theprescription of pharmacological treatment

Variability in response to drugs is a problem in clinical practice. The rate of patients who respond adequately to pharmacological therapy is generally around 60. The CYP450 multienzyme complex is a microsomal system located in the endoplasmic reticulum. The enzymes participate in phase I metabolism of xenobiotics. CYP3A4 is the isoenzyme mostly expressed in liver. Its gene is polymorphic, of which CYP3A4*1A is the wild allele and CYP3A4*2 is a polymorphism which consists of the S222P substitution in the amino acid sequence, affecting the activity of the enzyme. Methods: In this study, we determine the frequency of CYP3A4*2 polymorphism in Mexican individuals. 62 apparently healthy individuals, from Toluca de Lerdo, Mexico. The sample was 3 mL of peripheral blood. The DNA was extracted and PCR-RFLPs were performed. Results: 58 individuals possess the wild allele in homozygosity CYP3A4*1A/CYP3A4*1A (94%) and 4 individuals were heterozygous CYP3A4*1A/CYP3A4*2 (6%). The homozygous polymorphic CYP3A4*2/CYP3A4*2 was not found in any individual. Conclusion: The CYP3A4*2 polymorphism is rare in the population studied. Given the low frequency of CYP3A4*2 polymorphisms found in homozygous or heterozygous condition, it is advisable to consider the genotype of the patient before prescribing drugs metabolized by this gene.
Determination of phenolics and flavonoids contents of the ethyl acetate and methanol bark and leaves extract of Engelhardtia spicata Lechen ex Blume

Engelhardtia spicata Lechen ex Blume is a traditional medicinal plant which got several phytochemical constituents. The present study was to determine the presence of phenolics contents and flavonoids contents in the ethyl acetate and methanol bark and leaves extract of the of Engelhardtia spicata Lechen ex Blume. Methanol leaves (240.50±8.43) posses the higher values in the total phenolics contents and ethyl acetate leaves (140.86±2.55) got the highest flavonoids contents.
Genetic analysis of mitochondrial ND5 gene of siberian ibex (Capra Sibirica, Pallas, 1776) population in Mongolia

The Siberian ibex (Capra sibirica) from Central Asia is believed to be the most ancient species of the genus Capra. In Mongolia, it is distributed in the areas of Mongolian Altai, Gobi-Altai, Dzungaria, Altai, Khan Khuhii, Khoridal Saridag and Ulaan Taiga as well as in the desert and semi-desert steppe zones of Dundgobi and Dornogobi aimags (provinces). In the current study, we investigated the mitochondrial ND5 gene fragments of the Siberian ibex population from different parts of Mongolia. Nine haplotypes, including 6 shared and 3 unique haplotypes were identified among these populations. Furthermore, Tajima’s statistics and Fu’s statistics did not reveal significant positive value across the population, indicating population decline and balancing selection.In the phylogenetic tree by 9 haplotypes, no separated clusters were generated. In addition, nucleotide diversity was 0.015, haplotype diversity was 0.86 and the average number of differences in nucleotides was 8.2 in the overall population. These results suggest that genetic diversity across all the populations was low, while haplotype diversity and the average number of differences in nucleotides were high.
Blessing of Dimensionality: How Many-Objective Search Supports Inverse Modeling

Sample-based evolutionary algorithms (EAs) are widely used for optimizing problems with multi (greater than one but less than four) or even many (greater than or equal to four) objectives of interest. In general, the difficulty of a problem exponentially increases with the number of objectives, serving as a clear example of the curse of dimensionality. The exploratory approach an EA takes in these cases has led to it being thought of as a big data generator, progressively sampling and evaluating solutions in high performing regions of a decision space to guide the search towards optimal solutions. Notably, in both multiand many-objective EAs, the data samples can be further utilized for building inverse models, mapping points in objective space back to solutions in the decision space. Such models offer immense flexibility to a decision maker in generating new target solutions on the fly, thereby facilitating real-time a posteriori preference incorporation. In this paper, we show that the data generated from a many-objective optimization search is in fact more conducive to inverse modeling than its multi-objective counterpart (where the output space is compressed via synthetic objective aggregation) – highlighting a rare blessing of dimensionality that has yet to be explored in the context of optimization. We first present simple theoretical arguments supporting this statement. Thereafter, experimental studies of Gaussian process-based inverse modeling for a pedagogical and a practical composite manufacturing example are carried out to further confirm the theory. Keywords—Blessing of dimensionality, inverse modeling, manyobjective optimization, Gaussian processes
Effect on vegetative growth and reproductive development of Chinese sand pear (Pyrus pyrifolia) treated with various growth controlling strategies

Kashmiri Nakh (Chinese Sand pear) is the most important cultivar of Pyrus pyrifolia group considering its yield potential as well as its consumer acceptability. But due to excessive vigour there is problem of reduced flower bud development, light penetration and increased incidence of insect pests and diseases. In order to stimulate flower bud formation in pear, it is imperative to control vigour of plants. Root pruning, trunk incision and pruning are considered the major growth controlling strategies which were tested in the present study. In addition, application of growth regulators (paclobutrazol and ethephon) were tested for their efficiency in controlling tree vigour and flower induction. The experimented trees were treated with root pruning (during dormancy upto 35 cm depth and 30 cm away from trunk), trunk incision (during dormancy upto 20% of trunk diameter on both sides at 30 cm distance), summer pruning (mid June- thinning out of most of the extension shoots from middle of canopy and 50% from upper and lower canopy), application of paclobutrazol (at full bloom-800 ppm and 15 days after full bloom-500ppm) and Ethephon (at full bloom-200 ppm and 15 days after full bloom-100 ppm). Plants treated with root pruning + paclobutrazol showed better results with minimum shoot length, internodal length, leaf number, leaf area, fresh weight of leaves and maximum number of nodes, dry weight of leaves and per cent bloom. The overall results showed that root pruning + paclobutrazol can be considered as best strategy for optimizing tree growth and flowering in pear orchard.
The Stock Market and Audit Market Effects of a Big 4 Security Breach

This research provides insights into how audit clients and investors respond to a breach of confidential client data by an audit firm. Specifically, on September 25, 2017, Deloitte & Touche (a.k.a., Deloitte), an international Big 4 audit firm, reported that its systems had sustained a six month long cyber-attack lasting from October 2016 to March 2017 (Hopkins 2017). We examine whether Deloitte’s reputation was impacted. We find that Deloitte’s audit clients at the time of the breach did not experience a change in audit fees, nor were they more likely to dismiss Deloitte. However, Deloitte experienced a decrease in the number of new audit clients after the breach announcement as well as decreased first year audit fees for new clients. A negative market reaction was only found for clients that dismissed Deloitte. Thus, Deloitte’s reputation appears to be only tarnished for companies searching for a new auditor.
Antagonistic activity of some bioagents against root rot diseases of pepper (Capsicum annum L.)

Eight isolates of bioagents (fungal and bacterial), obtained from the rhizosphere of healthy pepper plants collected from various pepper-growing sites in Kafr El-Sheikh governorate, were tested against pepper root-rot pathogens including Pythium aphanidermatum, Fusarium solani, F. oxysporum, F. moniliformis and Macrophomina phaseolina. In in vitro study, the fungal bioagents (Trichoderma viride (TV1 and TV2) and T. harzianum (TH1 and TH2) exhibited the maximum antifungal activity against the five phytopathogens compared to the bacterial bioagents (Pseudomonas fluorescens (P1 and P2) and Bacillus subtilis (B1 and B2). In pots experiment, TV1 and P2 bioagents caused the least disease severity among all treatments. All bioagents were effective with different degrees specially Trichoderma spp. to promote the growth parameters of pepper plants and manage root rot disease that caused by different pathogens. Furthermore, they had equal efficacy with fungicide treatment under in vitro and in pots experiment. Thus, application of biological methods in plant disease control is an effective alternative technique and could have a potential biofertilizer effect, since they stimulated the growth of pepper plants.
Multi-Space Seasonal Precipitation Prediction Model Applied to the Source Region of the Yangtze River, China

This paper developed a multi-space prediction model for seasonal precipitation using a high-resolution grid dataset (0.5° × 0.5°) together with climate indices. The model is based on principal component analyses (PCA) and artificial neural networks (ANN). Trend analyses show that mean annual and seasonal precipitation in the area is increasing depending on spatial location. For this reason, a multi-space model is especially suited for prediction purposes. The PCA-ANN model was examined using a 64-grid mesh over the source region of the Yangtze River (SRYR) and was compared to a traditional multiple regression model with a three-fold cross-validation method. Seasonal precipitation anomalies (1961–2015) were converted using PCA into principal components. Hierarchical lag relationships between principal components and each potential predictor were identified by Spearman rank correlation analyses. The performance was compared to observed precipitation and evaluated using mean absolute error, root mean squared error, and correlation coefficient. The proposed PCA-ANN model provides accurate seasonal precipitation prediction that is better than traditional regression techniques. The prediction results displayed good agreement with observations for all seasons with correlation coefficients in excess of 0.6 for all spatial locations.
Characterization of Clays from selected sites for Refractory Application

Clay is a stony or earthy mineral aggregate composed of fine-grained minerals, which are plastic at appropriate water content and hardens up when fired. Clay soils have various mineral groups such as kaolinite, smectites, illites and palygorskite-sepiolite with unique properties for industrial applications. Uses of clay include manufacture of cement, tiles, ceramics, bricks, drilling clays, lead pencils, printing inks and paints. This project determined elemental and mineralogical composition of clays from Githima (0o 46 ́ 40 ́ ́ S, 37o 6 ́ 31 ́ ́E), Kimathi (0o 40 ́ 0 ́ ́S, 37o 10 ́ 28 ́ ́E) and Ithanje (0o 36 ́ 30 ́ ́ S, 37o 6 ́ 46 ́ ́E). The elemental and mineralogical composition were determined using AAS and XRD techniques respectively. The results indicated that clays composed of SiO2, Al2O3, and Fe2O3 as the major components in the following ranges of 40.8055. 40%, 16.27-30.33% and 3.90-20.53% for SiO2, Al2O3, and Fe2O3 respectively. Mineralogical results showed that the main mineral present in the clays were kaolinite, illite and quartz. Apparent porosity, linear shrinkage, bulk density, refractoriness and thermal shock resistance were 26.31-31.33%, 1-3 %, 1.561. 68 g/cm 3 1609-1686 oC and 20-26 cycles, respectively
Nutritional management and practical feeding of the orphan foal

Summary Foals are dependent on a milk-based diet for the first 3–4 months of life. If they are orphaned during this period they require appropriate nutritional and behavioural management to allow them to develop into sound, well-grown horses and ponies with well established normal behavioural patterns. In order to meet these needs it is necessary to understand the metabolic requirements of the foal and the composition of mares' milk. Usually managing these foals requires short-term, emergency feeding of the foal while a long-term option is sought. Long-term options include use of a foster mare, induction of lactation in a parous, barren mare or hand rearing with suitable equine company. It is important to monitor growth and development of these foals to ensure that over the long term their nutritional needs are being met to allow normal growth and development.
THESIS FULFILLED IN PROSPECT TO OBTAIN A MASTER OF SCIENCE DEGREE IN PSYCHOLOGY ORIENTATIONS Affective Psychology Clinical Psychology BY Phebe

The Mind-wandering Spontaneous and Mind-wandering Deliberate scales (Carriere, Seli & Smilek, 2013) were first translated into French and then were answered, along with questionnaires measuring overall mind-wandering and attention lapses frequency as well as trait positive and negative affect, by 179 participants through an online survey. Psychometric properties of the MW-S and the MW-D were assessed and confirmatory factor analysis showed that the French version of the scales have satisfactory validity and reliability. Correlational analyses demonstrated that spontaneous mind-wandering was positively associated with trait negative affect and uniquely, negatively associated with trait positive affect. Contrary to predictions, neither positive nor negative trait affect were related to deliberate mind-wandering. Results support the utility, reliability and validity of the MW-S and the MW-D scales, enabling researchers working with French-speaking populations to finally be able to dissociate spontaneous from deliberate mind-wandering when investigating
A Constant-Factor Approximation for the Generalized Cable-Trench Problem

In the Cable-Trench Problem (CTP), the objective is to find a rooted spanning tree of a weighted graph that minimizes the length of the tree, scaled by a non-negative factor , plus the sum of all shortest-path lengths from the root, scaled by another non-negative factor. This is an intermediate optimization problem between the Single-Destination Shortest Path Problem and the Minimum Spanning Tree Problem. In this extended abstract, we consider the Generalized CTP (GCTP), in which some vertices need not be connected to the root, but may serve as cost-saving merging points; this variant also generalizes the Steiner Tree Problem. We present an 8.599-approximation algorithm for GCTP. Before this paper, no constant approximation for the standard CTP was known.
Experimental and numerical looseness detection and assessment in flanged joints using vibro-acoustic modulation method

Abstract Flanged joints’ looseness is among the common causes for the failure of industrial structures with flanged joints the timely detection of which can prevent the imposition of heavy financial losses and in some cases injuries. There are conventional methods for detecting this fault and each of them has its own drawbacks. For instance, torque control methods have high error of measurement, impedance-based measurement methods, have high expenses, and vibration or ultrasonic methods lack accuracy due to the use of linear phenomena in fault detection. Vibro-Acoustic modulation method is one of the nonlinear fault detection methods that can detect and assess looseness of flanged joints with high precision through the measurement of the intensity of the vibrational and ultrasonic signals modulation applied to the structure. This paper was an attempt to investigate the efficiency of the Vibro-Acoustic modulation method in the detection and evaluation of flanged joints numerically and experimentally. For this, a laboratory sample composed of two pipes connected with flanged joints is employed. It is revealed that this method can detect bolt looseness with 12.5% precision. In addition, the effect of parameters such as ultrasonic and vibrational frequency, amplitude of applied torque, sensors and actuators position, as well as excessive increase of torque have been examined and the method precision in the studied structure has been estimated.
Developing a novel hybrid model for the estimation of surface 8-h ozone (O3) across the remote Tibetan Plateau during 2005–2018

We developed a two-stage model called the random-forest–generalised additive model (RF–GAM), based on satellite data, meteorological factors, and other geographical covariates, to predict the surface 8 h O3 concentrations across the remote Tibetan Plateau. The 10-fold cross-validation result suggested that RF–GAM showed excellent performance, with the highest R2 value (0.76) and lowest root-mean-square error (RMSE) (14.41 μg m−3), compared with other seven machine-learning models. The predictive performance of RF–GAM showed significant seasonal discrepancy, with the highest R2 value observed in summer (0.74), followed by winter (0.69) and autumn (0.67), and the lowest one in spring (0.64). Additionally, the unlearning ground-observed O3 data collected from openaccess websites were applied to test the transferring ability of the novel model and confirmed that the model was robust in predicting the surface 8 h O3 concentration during other periods (R2 = 0.67, RMSE= 25.68 μg m−3). RF–GAM was then used to predict the daily 8 h O3 level over the Tibetan Plateau during 2005–2018 for the first time. It was found that the estimated O3 concentration displayed a slow increase, from 64.74± 8.30 μg m−3 to 66.45± 8.67 μg m−3 from 2005 to 2015, whereas it decreased from the peak to 65.87± 8.52 μg m−3 during 2015–2018. Besides this, the estimated 8 h O3 concentrations exhibited notable spatial variation, with the highest values in some cities of the northern Tibetan Plateau, such as Huangnan (73.48±4.53 μg m−3) and Hainan (72.24± 5.34 μg m−3), followed by the cities in the central region, including Lhasa (65.99± 7.24 μg m−3) and Shigatse (65.15± 6.14 μg m−3), and the lowest O3 concentration occurred in a city of the southeastern Tibetan Plateau called Aba (55.17±12.77 μg m−3). Based on the 8 h O3 critical value (100 μg m−3) provided by the World Health Organization (WHO), we further estimated the annual mean nonattainment days over the Tibetan Plateau. It should be noted that most of the cities on the Tibetan Plateau had excellent air quality, while several cities (e.g. Huangnan, Haidong, and Guoluo) still suffered from more than 40 nonattainment days each year, which should be given more attention in order to alleviate local O3 pollution. The results shown herein confirm that the novel hybrid model improves the prediction accuracy and can be applied to assess the potential health risk, particularly in remote regions with few monitoring sites.
Antioxidant Herbs Supplementation Inhibits Endometriosis Extension in Mice

Background: Increased oxidative stress causes inflammation and increases angiogenesis. It presumed to promote the proliferation of endometriosis tissue. Kebar grass (Biophytum petersianum) and other herbs such as green tea and Cucumis melo, which contain high antioxidants, are expected to decrease oxidative stress, inflammation, angiogenesis, and reduced endometriosis implants.Objective: To investigate the effects of Kebar grass, green tea, and Cucumis melo to malondialdehyde serum, tumor necrosis factor alpha, and vascular endothelial growth factor expression, and the area of the endometriotic implants.Methods: Twenty-eight mice were divided into four groups, i.e., the first group of endometriosis mice was given Kebar grass extract; the second group was assigned green tea extract, the third group was given the combination of Cucumis melo extract–gliadin, and the last containing the untreated endometriosis mice as the control. Each treatment was given for 14 days. The data of MDA serum level, the area of the endometriotic implants, TNF-α, and VEGF expression were collected and analyzed.Results: The MDA serum levels of the groups treated with Kebar grass extract, green tea extract, and Cucumis melo extract – gliadin were significantly lower (p=0.001) than the control group. TNF-α expression of the groups provided with each treatment also lower than the control groups (p=0.002). However, only the administration of the Cucumis melo extract–gliadin resulted in lower VEGF expression compare with the control (p=0.017). Finally, the area of the endometriotic implants of the mice models administered with each treatment was smaller than the control group (p=0.003). Conclusion: Kebar grass as well as green tea and Cucumis melo–gliadin inhibits endometriotic implants extension by decreasing MDA serum and TNF-α expression.