Miracle-dz/UniFAR-FTUs huggingface dataset:
A study on quality of work life amongst employees working in the Kingdom of Saudi Arabia

Article history: Received: October 26, 2019 Received in revised format: November 21 2019 Accepted: November 23, 2019 Available online: November 23, 2019 It is a well-known fact that quality of work life (QWL) is considered as a philosophy to make the people more effective at workplace by understanding their psychological well-being and involvement or attachment. The main objective of the current investigation was to understand the degree of the QWL amongst the employees working in the Saudi Arabia. The random sampling method was applied to select the data from employees working in the public and private sectors. The QWL scale and biographical information sheet were used to gather the information from the employees. Based on the research objective and design of the investigation, factorial analysis, Cronbach’s alpha value for reliability check and other statistical techniques were used to explore the facts of the data. The results show that six factors such as autonomy, inter-group relation, recognition, economic benefits, self-respect and supervisory relations were most important determinants of QWL; married and public sector employees found to have high mean score on QWL as compared with their counterparts and majority of employees in the company were having low level of quality of work life. Certain mechanism was discussed to enhance the QWL of the employees to make the organization more effective and viable. © 2020 by the authors; licensee Growing Science, Canada
Intelligent Glioma Grading Based on Deep Transfer Learning of MRI Radiomic Features

According to a classification of central nervous system tumors by the World Health Organization, diffuse gliomas are classified into grade 2, 3, and 4 gliomas in accordance with their aggressiveness. To quantitatively evaluate a tumor’s malignancy from brain magnetic resonance imaging, this study proposed a computer-aided diagnosis (CAD) system based on a deep convolutional neural network (DCNN). Gliomas from a multi-center database (The Cancer Imaging Archive) composed of a total of 30 grade 2, 43 grade 3, and 57 grade 4 gliomas were used for the training and evaluation of the proposed CAD. Using transfer learning to fine-tune AlexNet, a DCNN, its internal layers, and parameters trained from a million images were transferred to learn how to differentiate the acquired gliomas. Data augmentation was also implemented to increase possible spatial and geometric variations for a better training model. The transferred DCNN achieved an accuracy of 97.9% with a standard deviation of ±1% and an area under the receiver operation characteristics curve (Az) of 0.9991 ± 0, which were superior to handcrafted image features, the DCNN without pretrained features, which only achieved a mean accuracy of 61.42% with a standard deviation of ±7% and a mean Az of 0.8222 ± 0.07, and the DCNN without data augmentation, which was the worst with a mean accuracy of 59.85% with a standard deviation ±16% and a mean Az of 0.7896 ± 0.18. The DCNN with pretrained features and data augmentation can accurately and efficiently classify grade 2, 3, and 4 gliomas. The high accuracy is promising in providing diagnostic suggestions to radiologists in the clinic.
Grouping of catingueira genotypes based on... GROUPING OF CATINGUEIRA GENOTYPES BASED ON MORPHOLOGICAL CHARACTERISTICS1

1 Received on 10.02. 2015 accepted for publication on 24.05. 2016. 2 Universidade Federal do Recôncavo da Bahia, Programa de Pós-Graduação em Ciências Agrárias-CCAAB, Cruz das Almas, BA Brasil. E-mail: <leouenf@hotmail.com> and <sandra.afonso3@gmail.com>. 3 Universidade Federal do Recôncavo da Bahia, Centro de Ciências Agrárias Ambientais e Biológicas (CCAAB), Cruz das Almas, BA Brasil. E-mail: <ricardofcm@ufrb.edu. br>, <teresa@ufrb.edu. br> and <andrea@ufrb.edu. br>. 4 Embrapa Mandioca e Fruticultura, Cruz das Almas, BA Brasil. E-mail: <carlos.ledo@embrapa.br>. *Corresponding author.
Hydrogenation of Alkali Lignin Catalyzed by Pd/C

Hydrogenation of alkali lignin was carried out in the presence of Pd/C catalyst at hydrogen pressure 1~5 MPa. Catalytic activity of Pd/C catalyst was investigated according to the structure changes of alkali lignin, which were characterized by UV and H-NMR spectroscopy. The measurement of average molecular weight undertook by gel permeation chromatography (GPC). Changes on function groups of alkali lignin were analyzed through chemical methods. Results show that total hydroxyl, phenolic hydroxyl and alcoholic hydroxyl increase 64.23%, 37.10% and 89.67%, respectively, while carbonyl and carboxyl decrease separately 43.50% and 53.41%. No significant differences of the total acidic groups and the phenyl structure were found after reaction. GPC analysis shows the weight average molecular weight (Mw) and number average molecular weight (Mn) are both decreased, and the polydispersity of alkali lignin is increased The active function groups of alkali lignin are increased obviously, and reactive activity of alkali lignin is enhanced as a result. The present results demonstrate Pd/C catalyst shows an excellent catalytic activity on reductive reaction of alkali lignin and hydrogen. © 2012 Published by Elsevier B.V. Selection and/or peer review under responsibility of Asia-Pacific Chemical, Biological & Environmental Engineering Society
A Unified Multimode Control of a DC–DC Interlinking Converter Integrated into a Hybrid Microgrid

DC–DC interlinking converters (ILCs) allow bidirectional energy exchange between DC buses of different voltage levels in microgrids. This paper introduces a multimode control approach of a half-bridge DC–DC converter interlinking an extra-low-voltage DC (ELVDC) bus of 48 VDC and a low-voltage DC (LVDC) bus of 240 VDC within a hybrid microgrid. By using the proposed control, the converter can transfer power between the buses when the other converters regulate them, or it can ensure the voltage regulation of one of the buses, this originating from its three operation modes. The proposed control scheme is very simple and provides a uniform system response despite the dependence of the converter dynamic on the operating point and the selected mode. Simulation and experimental results validated the theoretical development and demonstrated the usefulness of the proposed scheme.
Learning to Detect Grasp Affordances of 3D Objects using Deep Convolutional Neural Networks

Grasp affordances detection is one of the challenging tasks in robotics because it must predict the grasp configuration for the object of interest in real-time to enable the robot to interact with the environment. In this paper, we present a new deep learning approach to detect object affordances for a given 3D object. The method trains a Convolutional Neural Network (CNN) to learn a set of grasping features from RGB-D images. We named our approach Res-U-Net since the architecture of the network is designed based on U-Net structure and residual network-styled blocks. It devised to be robust and efficient to compute and use. A set of preliminary experiments has been performed to assess the performance of the proposed approach regarding grasp success rate on simulated robotic scenarios. Experiments validate the promising performance of the proposed architecture on a subset of ShapeNet dataset and simulated robot scenarios.
Efficient numerical representation of the impacts of flexible plant reconfiguration on canopy posture and hydrodynamic drag

This study considered a new approach for representing flexible canopies within large-eddy simulation that captures the impacts of reconfiguration on both the canopy posture and the canopy drag. The unsteady change in plant posture in response to the passage of turbulence structures (monami) was assessed using established steady-reconfiguration models responding to the unsteady velocity at the top of the canopy. The new drag and plant posture models improved the modelling of highly flexible canopies by more accurately capturing the observed vertical distribution of peak Reynolds stress. When compared to models that do not consider reconfiguration, or that represent it only through a velocity-dependent drag coefficient, the addition of a velocity-dependent canopy posture (unsteady reconfiguration) achieved up to a 56% reduction of the root mean square error for mean horizontal flow velocity and Reynolds stress profiles over the canopy. The RMSE for turbulence intensities and skewness were reduced up to 48% and 56%, respectively.
Effect of Sintering Temperature and Reinforcement Concentration on the Tribological Behaviors of Hybrid Aluminum Matrix Nano Composite

The objectives of this experimentation is to scrutinize the effect of sintering temperature and GNP concentration on novel hybrid aluminium self lubricating nanocomposite. The tribological properties of Al-Si/ γAl2O3 (6 wt.%)/ GNP (4–5 wt.%) composite sample has been studied in this research. Spark Plasma Sintering syntheses route was used for the fabrication of the composite samples. The samples were prepared at three sintering temperature i.e. 450 ̊C; 500 ̊C; 520 ̊C with dwell time constant 10 minutes. The experimentally investigated properties are friction, wear, density, for the hybrid composites samples. Tribological testing was done on the ball-on-disc configuration at room temperature under dry sliding conditions under variable load 10–50 N and upto sliding distance 450 meters with other parameters i.e. frequency, stroke remain constant. The results highlights that both sintering temperature and GNP concentration helps to enhance the overall properties of composite samples. For surface morphology; wear scar analysis, elemental percentage concentration characterization tools i.e. Scanning Electron Microscopy; Electron Dispersion Microscopy; Raman analysis is used. © 2019 Published by Faculty of Engineering Corresponding author: Pranav Dev Srivyas Mechanical Engineering Department, NIT Srinagar, Jammu and Kashmir, India. E-mail: devpranav. srivyas_17@nitsri.net
Global Spatial Distributions of and Trends in Rice Exposure to High Temperature

Due to the effects of global warming, extreme temperature events are posing a great threat to crop yields, especially to temperature-sensitive crops such as rice. In the context of disaster risk theory, exposure is central to disaster prevention and reduction. Thus, a comprehensive analysis of crop exposure is essential to better reduce disaster effects. By combining the maximum entropy model (MaxEnt) and a multiple-criteria decision analysis (MCDA), this paper analyzed the global distribution and change in rice exposure to high temperature. The results showed the future states of rice after exposure to high temperatures. Our results are: (1) the areas of potential rice distribution zones decreased within the representative concentration pathway (RCP) scenarios RCP2.6 to RCP8.5 in MaxEnt, where the long-term (2061–2080) decreases are greater than those seen in the medium term (2041–2060). (2) In the future, the number of high temperature hazards in potential rice distribution areas increased. In the RCP8.5 scenario, the intensities of global high temperature hazards on rice were reduced because the total area of potential rice distribution zones decreased. (3) Through the view of barycenter shift, the barycenter of the global potential rice and high temperature hazard distributions showed a trend of backward motion, which meant the global rice exposure to high temperature was in a downward trend. With the background of global change, this paper has great significance for the mitigation of high temperature risk in rice and its effect on the potential security of future global rice production. Future research is warranted to concentrate on discussing more socioeconomic factors and increasing rice exposure change from the temporal vision.
Wai-Tao chan1–3 cheng-che liu4 Jen-shiu chiang chiau5 shang-Ting Tsai6 chih-Kai liang6 Mei-lien cheng5 hung-chang lee7,8 chun-Yun Yeung1,3,9 shao-Yi hou2,6

and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). International Journal of Nanomedicine 2017:12 3421–3432 International Journal of Nanomedicine Dovepress
Information and Communication Technologies and Economic Growth: Evidence from EU and Turkey

More and more information technology is considered as an indispensable dimension of the process of economic growth. The main aim of this paper is to explore the impact of ICT on economic growth in the European Union (EU) countries and Turkey, covering the 1997-2014 periods. The study contributes to the empirical literature by providing some evidence obtained by a crosscountry panel data analysis. The results show that ICT investment appears to be quite important for explaining economic growth in the EU countries and Turkey. ICT which we use growth rate of fixed telephone, internet and mobile telephones subscriptions as proxy variables has a positive effect on economic growth. Through static and dynamic panel data analyses, we found that fixed telephone subscriptions and internet variables have a positive effect on economic growth, while we could not observe a statistically significant correlation with mobile telelephone. As expected, there is a positive relationship of economic growth with physical capital growth but negative association with population growth. The effects of trade growth variable are controversial.
Network Analysis of the Táin Bó Cúailnge

In recent years, physicists and applied mathematicians have developed new techniques to study a wide variety of complex systems, including social networks. Here we apply this theory to study networks of characters appearing in different mythologies, with special focus on the Irish epic Táin Bó Cúailnge, a tale which reflects the importance of Rathcroghan as a royal Celtic site. We determine a number of mathematical characteristics of the social network underlying the society depicted in the narrative. This allows us to make quantitative comparisons to other networks, some real, some fictitious and some mythological. In this manner, we introduce a new way to analyze old material and to develop new perspectives which may help shed mathematical light on the society underlying The Táin.
"Translation Across the Difficulties of Equivalence Concept"

The main purpose of this study is to discuss the concept of Equivalence across the translation process from English to Arabic, and its different relationships with linguistic aspects. The discussion presented in this study will also show that equivalence is one of the vital issues in translation studies that cannot be ignored or underestimated. The cultural differences between English and Arabic are discussed along with the relationship between the nature and function of equivalence.
Retrieval of Snow Depth over Arctic Sea Ice Using a Deep Neural Network

The accurate knowledge of spatial and temporal variations of snow depth over sea ice in the Arctic basin is important for understanding the Arctic energy budget and retrieving sea ice thickness from satellite altimetry. In this study, we develop and validate a new method for retrieving snow depth over Arctic sea ice from brightness temperatures at different frequencies measured by passive microwave radiometers. We construct an ensemble-based deep neural network and use snow depth measured by sea ice mass balance buoys to train the network. First, the accuracy of the retrieved snow depth is validated with observations. The results show the derived snow depth is in good agreement with the observations, in terms of correlation, bias, root mean square error, and probability distribution. Our ensemble-based deep neural network can be used to extend the snow depth retrieval from first-year sea ice (FYI) to multi-year sea ice (MYI), as well as during the melting period. Second, the consistency and discrepancy of snow depth in the Arctic basin between our retrieval using the ensemble-based deep neural network and two other available retrievals using the empirical regression are examined. The results suggest that our snow depth retrieval outperforms these data sets.
Prospects for Genetic Improvement in Objective Measurements of Body Colour in Pacific Whiteleg Shrimp (Litopenaeus vannamei)

Body colour, together with growth and survival, are traits of commercial importance in Pacific whiteleg shrimp (Litopenaeus vannamei). However, heritability estimates for objective measurements of body colour are not available in Whiteleg shrimp species, including L. vannamei. Further, the effect of genotype by environment interactions (G × E) on this trait (i.e., the objective measures of body colour) and its genetic associations with growth are not known in this species. The present study presented the first attempt at understanding the genetic architecture of this complex character (body colour) that is of economic significance to the shrimp aquaculture sector world-wide. Specifically, we investigated the quantitative genetic basis of shrimp colour, while using the measurement tool (colorimeter) for a Whiteleg shrimp population reared in two contrasting environments. A total of 5464 shrimp had the objective measurements of body colour (lightness, yellowness, and redness) and growth trait records (weight, length and width). They were the offspring of 204 dams and 197 sires. The restricted maximum likelihood mixed model analysis showed that there were heritable additive genetic components for all of the measurements of shrimp colour, with the heritability (h2) ranging from 0.11–0.55. The h2 estimates for redness and yellowness traits differed between the two environments (h2 = 0.66–0.82 in Khanhhoa vs. 0.00–0.03 in Haiphong). However, the heritability for colour traits was moderate (0.11–0.55) when the two environments were combined. There is existence of (co)-genetic variances between the studied traits. The genetic correlations of body traits with redness or yellowness colour of the shrimp were moderate and positive (a*: 0.13–0.32 for redness and b*: 0.19–0.40 for yellowness). The effect of G × E interactions on shrimp colours could be important, as the genetic correlations for these traits between the two environments were low (−0.41 to 0.16). Our results showed that the genetic improvement for body colour can be achieved through direct selection and the increased redness colour is also expected to have favorable impacts on growth traits. Breeding programs to improve shrimp colour should account for the effects of environmental factors.
Pediatric extremity soft-tissue sarcomas: from diagnosis to surgical treatment

Soft-tissue tumors are commonly seen in pediatric orthopaedic practice. Most soft-tissue lesions in children are benign; however, sarcomas do occur, and adequate and prompt assessment and management are essential. Cancer is the most common cause of death from disease in children, and soft-tissue sarcomas are the fifth most common malignancy in children. This is a literature review focusing on the approach to extremity soft-tissue sarcomas in children, aiming to provide high-yield information about the diagnostic modalities, staging, prognosis, treatment and specific tumor types. Soft-tissue sarcomas represent a wide and heterogeneous group of mesenchymal neoplasms. Rhabdomyosarcoma represents half of all soft-tissue sarcomas seen in children. The treatment is multimodal and involves surgery, chemotherapy and sometimes radiation. The diverse origin of these tumors and their relative rarity contribute to the lack of prospective, randomized tumor-specific trials to better understand the prognostic factors as well as the true benefit of chemotherapy. Adequate surgery with free margins offers the best chance for long-term survival and is still the mainstay of treatment; however, with the advent of new therapies, such as immunotherapy and gene therapy, improvements in the prognosis and survival are expected.
Ionized gas kinematics of massive elliptical galaxies in CALIFA and in cosmological zoom-in simulations

Context. Powerful active galactic nuclei (AGN) are supposed to play a key regulatory role on the evolution of their host galaxies by shaping the thermodynamic properties of their gas component. However, little is known as to the nature and the visibility timescale of the kinematical imprints of AGN-driven feedback. Gaining theoretical and observational insights into this subject is indispensable for a thorough understanding of the AGN-galaxy coevolution and could yield empirical diagnostics for the identification of galaxies that have experienced a major AGN episode in the past. Aims. We present an investigation of kinematical imprints of AGN feedback on the warm ionized gas medium (WIM) of massive early-type galaxies (ETGs). To this end, we take a two-fold approach that involves a comparative analysis of Hα velocity fields in 123 local ETGs from the CALIFA (Calar Alto Legacy Integral Field Area Survey) integral field spectroscopy survey with 20 simulated galaxies from high-resolution hydrodynamic cosmological SPHgal simulations. The latter were resimulated for two modeling setups, one with and another without AGN feedback. Methods. In order to quantify the effects of AGN feedback on gas kinematics, we measured three parameters that probe deviations from simple regular rotation by using the kinemetry package. These indicators trace the possible presence of distinct kinematic components in Fourier space (k3, 5/k1), variations in the radial profile of the kinematic major axis (σPA), and offsets between the stellar and gas velocity fields (Δϕ). These quantities were monitored in the simulations from a redshift 3 to 0.2 to assess the connection between black hole accretion history, stellar mass growth, and the kinematical perturbation of the WIM. Results. Observed local massive galaxies show a broad range of irregularities, indicating disturbed warm gas motions, which is irrespective of being classified via diagnostic lines as AGN or not. Simulations of massive galaxies with AGN feedback generally exhibit higher irregularity parameters than without AGN feedback, which is more consistent with observations. Besides AGN feedback, other processes like major merger events or infalling gas clouds can lead to elevated irregularity parameters, but they are typically of shorter duration. More specifically, k3, 5/k1 is most sensitive to AGN feedback, whereas Δϕ is most strongly affected by gas infall. Conclusions. We conclude that even if the general disturbance of the WIM velocity is not a unique indicator for AGN feedback, irregularity parameters that are high enough to be consistent with observations can only be reproduced in simulations with AGN feedback. Specifically, an elevated value for the deviation from simple ordered motion is a strong sign for previous events of AGN activity and feedback.
Evaluation of waist and neck circumferences in Brazilian school children

Aims: to assess waist and neck circumferences, and correlate them to other anthropometric data in children. Methods: this cross-sectional study evaluated 522 children, regarding age, weight, height, waist, hip and neck circumferences, waistto-hip ratio, and waist-to-height ratio. results: Mean body weight and height were 22.8±12.5 kg and 111.6±26.3 cm, respectively. body mass index corresponded to 17.86±8.03 kg/m². Among the 419 children (with two or more than