Miracle-dz/UniFAR-FTUs huggingface dataset:
SCADA data analytics for fault detection and diagnosis of wind turbines

Wind farms require advanced monitoring systems to increase the reliability of the turbines. A critical component is the gearbox of wind turbines because of its high failure cost and large downtime. Supervisory control and data acquisition and monitoring systems employed in wind turbines generate large amounts of data. This data set must be processed with advanced analytics to become useful information for the reliability of the turbine. The novelty of this paper is based on the adjustment of the wind speed curve versus gearbox temperatures for the analysis of the alarms produced in the gearbox, being the data from the supervisory control and data acquisition and monitoring systems.
On GPU optimizations of stencil codes for highly parallel simulations

Stencil codes are valuable methods to solve partial differential equations of models in a wide range of applications in science and engineering. Graphics processing units (GPUs) provide a highly parallel architecture with fast directly accessible memory that is desirable to run stencil codes. They enable larger and more complex simulations that are solved faster compared to simulating on CPUs. We provide a solution for users to run highly parallel stencil codes on GPUs, that can also be efficiently used on a distributed GPU cluster.In this work, we present an extension to the multi-disciplinary framework NAStJA originally designed to efficiently run stencil codes on the CPUs in current high-performance computing (HPC) systems, to also be able to run on GPUs. We describe different methods to increase the performance of stencil codes on GPUs like a border exchange method which is transparent to the user, as well as a buffer for gradient values that are needed multiple times. We show their performance using the phase-field method as a stencil code example.With this GPU extension and optimizations implemented into the NAStJA framework, we can show highly improved performance compared to the CPU implementation, and an efficiency of 92% (weak scaling) for a large-scale example simulation on 64 GPUs on the ForHLR II HPC system.
Speech Enhancement With Phase Sensitive Mask Estimation Using a Novel Hybrid Neural Network

A natural choice to model strong temporal dynamics of speech is the recurrent neural network (RNN) since it can exploit the sequential information from consecutive acoustic frames and generalizes the model well to unseen speakers. Besides, the convolutional neural network (CNN) can automatically extract sophisticated speech features that can maximize the performance of a model. In this paper, we propose a hybrid neural network model integrating a new low-complexity fully-convolutional CNN and a long short-term memory (LSTM) network, a variation of RNN, to estimate a phase-sensitive mask for speech enhancement. The model is designed to take full advantages of the temporal dependencies and spectral correlations present in the input speech signal while keeping the model complexity low. Also, an attention technique is embedded to recalibrate the useful CNN-extracted features adaptively. Furthermore, a grouping strategy is employed to reduce the LSTM complexity while keeping the performance almost unchanged. Through extensive comparative experiments, we show that the proposed model significantly outperforms some known neural network-based speech enhancement methods in the presence of highly non-stationary noises, while it exhibits a relatively small number of model parameters compared to some commonly employed DNN-based methods.
Interactive Image Inpainting of Large-Scale Missing Region

Image inpainting is a challenging reconstruction of the damaged image in photography, especially for more valued artwork than before. The damages are mostly caused by scratches and worn out, so they cannot be easily fixed physically. Thus, many scientists proposed sophisticated methods for restoring the damaged image into a new one similar to an original image. However, these methods have not solved the problem effectively if the missing region is large. In this paper, we focus on how to restore a large missing region in image inpainting. This algorithm is composed of two steps: structure propagation and color propagation. In structure propagation, we segment a large region (non-homogeneous) into several small regions (homogeneous) based on the salient structure of missing region. Then, we applied a simple pixel-based inpainting method called the Fast Marching Method (FMM) to fill in the missing homogeneous regions by color propagation. In the experimental section, we applied several kinds of missing regions, such as irregular and regular missing regions, in large sizes. The results show that our proposed method performs well in various conditions.
Engaging students

Consumer satisfaction has long been a question of great interest in a wide range of fields. Existing research recognizes the critical role played by student satisfaction in higher education. It has been noted that students have changing and variable needs. A considerable amount of literature has been published on the fact that higher education institutions have to react promptly and satisfy students’ needs in order to keep their students and rankings. As student satisfaction is highly dependent on teaching quality, it is essential for higher education institutions to implement new teaching methodologies. Therefore, the aim of this paper is to analyze the concept of a teaching methodology, namely co-creation, and to examine its applicability in the field of economics. With the methodology of co-creation, teachers are able to involve students into the creation of curriculum, which might enhance student involvement and increase student satisfaction.
CONSUMER PURCHASE BEHAVIOUR TOWARDS ONLINE GROCERY IN MELAKA

The growth of traditional grocery has been slowing down in recent years because of the emergence of online grocery shopping in Malaysia. Consumers are now more preferable to shop their groceries online compared with traditional groceries. Online grocery allows shoppers to make a comparison of prices between goods efficiently. Shoppers now can have more extensive choices of goods. They can compare goods without looking for the goods physically. Online grocery shopping appeals to be more comfortable because consumers can now purchase their groceries from home without the need to travel to a supermarket, pushing the shopping cart, and waiting in the queue for payment. This article aims to examine the effect of perceived usefulness and perceived ease of use towards consumer purchase behaviour in online grocery in Melaka. A sample of 156 questionnaires was distributed from different generations of people, including baby boomers, Generation X, Generation Y, and Generation Z in Melaka. The data was interpreted using Statistical Package for Social Science (SPSS) Version 24. It can be concluded that perceived usefulness and perceived ease of use have significant effects on consumer purchase behaviour towards online grocery use in Melaka.
The Impact Of Zakat Accounting Standard (Safs Sharia No.109) On The Performance Of Zakat Institutions In Indonesia

This paper aims to examine the influence of accounting standards (SAFS Sharia No.109) for zakat on the financial performance of zakat institutions. This study has employed Difference in Difference (DiD) test and Panel data regression in order to achieve the objective of study. This study found that there is a difference in zakat institution performance between the pre and post adoption of SAFS in the DiD test. However, panel regression results show that there is no significant change in the adoption of SAFS Sharia No.109 to the zakat institution financial performance. A plausible reason for insignificant relation is that SAFS Sharia No.109 has not yet faithfully adhered by zakat institutions in their reporting, particularly with respect to the zakat for productive purpose (Alim, 2015). On the other hand, this study also found that zakat fund collection and zakat institution equity have significant impact on the performance of zakat institutions in Indonesia.
History, landscape, and botanical report of a centenary square in Brazil

Abstract Historical research of public spaces provides a better understanding of the social formation and preserve cultural and landscaping heritage. José Bonifácio Square, located in Picacicaba, São Paulo State, Brazil, is an important public space. We carried out a historical survey in the archives of municipal public institutions and a landscape record was done by identifying tree species implanted in the square. We verified a strong church influence in the development of the square landscape project. The first landscaping work occurred in 1885, and it became known as City Public Garden. It presented naturalistic features, using exotic and native species, mainly trees, for landscaping composition. Several modifications and reforms were made from 1885 to 2005. José Bonifácio Square was considered highly diverse (H’ = 3.18) with 151 individuals, distributed in 36 species belonging to 14 botanical families. The native species from Atlantic Forest represented 82.6% of Bignoniaceae, Arecaceae, and Fabaceae species. The high diversity of native species found in José Bonifácio Square allowed us to infer a lower ecological fragility and a higher environmental balance than other Brazilian squares. The analysis of historical information from the years 1885 to 2019 and the analysis of the square’s floristic composition in contemporary times demonstrated José Bonifácio Square’s relevance in forming and conserving Piracicaba’s urban identity.
Geochronological constraints on the carbonate-sulfarsenide veins in Dobšiná, Slovakia: U/Pb ages of hydrothermal carbonates, Re/Os age of gersdorffite, and K/Ar ages of fuchsite

1 Institute of Geosciences, Friedrich-Schiller University, Burgweg 11, D–07749 Jena, Germany; email: stefan.kiefer@uni-jena.de 2 Earth Science Institute, Slovak Academy of Sciences, Dúbravská cesta 9, 840 05 Bratislava, Slovakia 3 Department of Mineralogy and Petrology, National Museum, Cirkusová 1740, CZ-19300 Praha 9, Czech Republic 4 Department of Geology and Palaeontology, Comenius University, Ilkovičova 6, SK-842 15 Bratislava, Slovakia 5 Department of Mineralogy and Petrology, Comenius University, Ilkovičova 6, SK-842 15 Bratislava, Slovakia 6 Department of Geosciences, Goethe University Frankfurt, Altenhöferallee 1, D-60438 Frankfurt, Germany 7 Frankfurt Isotope and Element Research Center (FIERCE), Goethe University Frankfurt, Germany 8 Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Alberta T6G 2E3, Canada 9 Institute of Geological Sciences, Polish Academy of Sciences, ul. Senacka 1, 31-002 Krakow, Poland * Corresponding author
The Eﬀects of Ties on Convergece in K-Modes Variants for Clustering Categorical Data

Clustering methods for categorical data can easily have ties. These ties occur when an ambiguity arises in the process of executing an algo-rithm. This paper identiﬁes two types of ties and studies their eﬀect on the k-modes method for categorical data. Three variants of the k-modes algorithm, each of which handles tie breaking and stopping criterion differently, are compared. It is shown via simple yet subtly constructed examples that the convergence and quality of results can be greatly affected by how the ties are resolved. The notion of cluster death is also discussed
JOURNAL OF LANGUAGE AND LINGUISTIC STUDIES

This research examines the role of positive and negative emotions in language learning. To this end, enjoyment and anxiety, which are widely studied emotions in language education, were chosen for the current study. A quantitative research design was adopted to provide a deeper understanding of learners’ language enjoyment and anxiety levels as well as the determinants of those emotions. 233 fifth-grade students studying in secondary school participated in the study. The results indicated that participants experience a higher level of enjoyment and moderate anxiety in language learning. The anxiety and enjoyment levels of participants appeared to be unaffected by gender differences. The difference between the three achievement groups for anxiety and enjoyment was significant. Further analysis showed that language anxiety was the best predictor of language enjoyment. © 2021 JLLS and the Authors - Published by JLLS.
Effect of Pyriproxifen 10% EW against sucking insect pest population in cotton

An investigation was carried out at AICRP on cotton scheme, Chamarajanagar, Karnataka during kharif season of 2016-17 and 2017-18 to evaluate the bio-efficacy of pyriproxifen 10% EW against sucking insect pests of cotton viz., whitefly (Bemisia tabaci Genn.), aphids (Aphis gossypii Glover), thrips (Thrips tabaci Lind), and leafhopper (Amrasca bigutulla bigutulla Ishida). The study indicated that spraying of pyriproxifen 10% EW @ 200 g.a. i/ha has recorded significantly higher seed cotton yield (19.43 q/ha) with maximum per cent reduction in whiteflies (95.28%), aphids (90.04%), thrips (98.78%) and leafhoppers (94.40%), respectively. Followed by spraying pyriproxifen 10% EW at 125 g.a. i/ha. However, all the insecticide treated plots were superior in reducing the pest load as compared to un treated control.
Management strategies of functional intestinal obstruction of prematurity

Functional intestinal obstruction of prematurity (FIOP) is characterised by a partial or complete failure of meconium evacuation due to hypomotility of the immature bowel and this presents with features of intestinal obstruction typically within the first 2 weeks of life. It contributes significantly to the morbidity and mortality of extremely and very low birth weight preterm infants. This disorder has been described using many terminologies and there is controversy amidst clinicians as to the optimal approach to its management. This review summarises the characteristic clinical and radiologic findings to aid timely diagnosis and initiation of prompt treatment. Available evidence on different treatment options and their limitations is reviewed and practical stepwise management is described. In most cases, FIOP can be successfully managed conservatively with proactive management and monitoring. Overall outcomes are favourable and normal long-term gastrointestinal function is commonly experienced. Evidence for investigations to exclude cystic fibrosis and Hirschsprung’s disease in preterm infants with FIOP is evaluated and a link with focal intestinal perforation is highlighted.
SWINE NUTRITION: NUTRITIONAL RECOMMENDATIONS

Vitamin D, calcium and phosphorus are essential nutrients necessary for efficient bone mineralization, immunomodulation and reproduction. Vitamin D is synthesized in the body after exposure to sunlight, and it can also be provided through the diet in its D2 and D3 forms. In recent years, the 25-OH-D3 form has been used in animal feed with better results than the D3 form due to its greater bioavailability. Its deficiency produces alterations in the development of the bone system known as rickets and osteomalacia in young and adult pigs, respectively. There is great 6 LA GRANJA: Revista de Ciencias de la Vida 29(1) 2019:6-17. c ©2019, Universidad Politécnica Salesiana, Ecuador. Vitamin D, Total Calcium and Digestible Phosphorus in Swine Nutrition: Nutritional Recommendations advance in the knowledge of the nutritional requirements of vitamin D, calcium and phosphorus for the swine species, causing that research articles, reviews and nutritional guides have been published. Among the latter are NRC, NSNG, Brazilian Tables, FEDNA and others developed by the supplier industry of additives and genetics of swine of recognized world prestige. The suggested vales vary among the different sources of information related largely to the conditions in which they were developed (experimental, commercial or field type). However, it is the nutritionist who must be able to adapt these values to their production conditions and objectives. The purpose of this manuscript is to present in a summarized way the nutritional recommendations of vitamin D, calcium and phosphorus providing a valuable content for the nutritionist dedicated to the feeding and formulation of diets for pigs.
Effect of tillage and land configuration practices on growth and yield of rainfed soybean (Glycine max (L.) Merill)

An agronomic investigation “Effect of tillage and land configuration practices on growth and yield of rainfed soybean” (Glycine max (L.) Merill)” was carried out at Experimental Farm, Department of Agronomy, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani M.S. (India) during Kharif 2016. The experiment was planned under dryland condition which consisted of three treatments of tillage practices as main plots and four treatments of land configurations as sub plots constituting twelve treatment combinations which were replicated thrice in split plot design. Three tillage practices i.e.T1 (conventional tillage), T2 (rotary tillage) and T3 (sub soiling tillage) were tested with four land configurations i.e. L1 (broad bed furrow), L2 (flat-bed), L3 (ridges & furrow) and L4 (opening of furrow) in the investigation. The seed yield was found to be significantly higher in tillage practice of sub soiling tillage (T3) 3044.30 kg ha followed by conventional tillage (T1) 2385.10 kg ha and rotary tillage (T2) 2037.80 kg ha. Adoption of sub soiling tillage (T3) gave higher gross monetary returns, net monetary returns and benefit & cost ratio. Whereas, among different land configurations, the seed yield also in broad bed furrow (L1) 2935 kg ha were found to be significantly superior in respect of seed (kg ha), straw (kg ha), biological yields 1 it was stood far ahead followed by ridges and furrow (L3) 2586.20 kg ha, opening of furrow (L4) 2390 kg ha and flatbed (L2) 2045.10 kg ha. Among various land configurations, broad bed furrow (L1) recorded higher GMR, NMR, benefit & cost ratio. Rain water use efficiency was found to be significantly higher in sub soiling tillage (T3) and among land configurations, the broad bed furrow (L1) recorded higher rain water use efficiency. The interaction effects between tillage practices and land configurations significantly influenced the growth and yield of soybean and sub soiling tillage (T3) and broad bed furrow (L1) combination recorded significantly higher soybean seed yield, GMR, NMR, and RWUE than rest of the treatment combinations. Thus to achieve higher soybean yield and higher NMR with maximum RWUE, soybean crop may be planted on sub soiling tillage and broad bed furrow (T3 L1).
Informing sea otter reintroduction through habitat and human interaction assessment

Sea otters Enhydra lutris have been absent from Oregon, USA, following their extirpation over a century ago. Stakeholder groups and native tribes are advocating for reintroduction to restore historic populations. We investigated the potential for successful reintroduction by: (1) estimating expected equilibrium sea otter densities as a function of habitat variables to assess sea otter habitat in Oregon; and (2) spatially relating areas of high expected densities to human activities (e.g. fisheries, recreation, vessel activity, protected areas) to anticipate potential disturbance or fishery resource competition. We estimated that 4538 (1742−8976; 95% CI) sea otters could exist in Oregon, with higher expected abundance (N = 1551) and densities (x– = 2.45 km−2) within the southern region. Most core habitat areas (97%), representing clusters of high expected densities, overlapped with some form of human activity. While commercial shipping and tow lanes overlapped little (1%) with core habitat areas, recreational activities (58%) and fisheries (76%) had a higher degree of overlap, posing higher disturbance risk. We anticipate higher resource competition potential with the commercial red sea urchin fishery (67% of harvest areas) than the commercial Dungeness crab fishery (9% of high-catch crabbing grounds). Our study presents the first published carrying capacity estimate for sea otters in Oregon and can provide population recovery targets, focus attention on ecological and socioeconomic considerations, and help to inform a recovery plan for a resident sea otter population. Our findings suggest current available habitat may be sufficient to support a sea otter population, but resource managers may need to further investigate and consider whether current human activities might conflict with reestablishment in Oregon, if plans for a reintroduction continue.
Analysis of the Effect of Reconciliation Competence, Correction Testing and Implementation of Local Government Accounting System on the Quality of Regional Government Financial Reports of Nias Regency

This study aims to test and analyze the effect of reconciliation competence, correction testing and implementation of the local government accounting system on the quality of regional government financial reports in Nias Regency. This study uses a quantitative analytic survey method by distributing questionnaires for financial managers responsible for the reconciliation process, preparing financial reports and correcting the financial reports of Regional Apparatus Organizations (RAO) and compilers of consolidated financial statements the local government of Nias Regency. The population is ASN in 40 RAOs consisting of the Head of the Finance and General Subdivision, Expenditure Treasurer, Receiving Treasurer, Goods Management and Accounting Division BPKPAD Nias Regency (total 135 people) Data were analyzed using descriptive statistical analysis and partial least square analysis (SEMPLS) with the Warppls 7.0 software program. The results showed that the reconciliation competence, correction testing and implementation of the local government accounting system positively affected the quality of the regional government financial reports of Nias Regency.
Shear Bond Strength of Porcelain Veneering to 
Nickel-Chromium, Chromium-Cobalt, Zirconia and Lithium 
Disilicate

1 MSc Biomaterial Student, Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran 2 Professor, Department of Materials science and Engineering, Sharif University of Technology, Tehran, Iran 3 Assistant Professor, Prosthodontics Department, Member of Implant Research Center, Dental Branch of Tehran, Islamic Azad University, Tehran, Iran 4 Assistant Professor, Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran