Miracle-dz/UniFAR-FTUs huggingface dataset:
Realisation and HIL testing of wind turbine emulator based on DTC squirrel cage induction motor drive

Direct torque control (DTC) is known to produce the fastest torque response in AC drives. In this paper, a wind turbine emulation (WTE) system using a squirrel cage induction motor (SCIM) working in a DTC mode is designed, implemented, and tested experimentally using Hardware-in-loop (HIL). The flux estimation is based on the current model where two stator currents and the rotor speed are measured. The DTC is realised using a space vector modulator to avoid variable switching frequency associated with the DTC switching tables. dSPACE MicroLabBox is used to handle the real-time control programmed in SIMULINK. Typhoon HIL402 is used to emulate the inverter, the machine, the connected mechanical load, and the feedback sensors of the current dc link voltage and speed. Thanks to the great flexibility offered by the HIL technique, a variety of tests has been conducted to validate the overall system performance. The tests include step change of load, step change of wind speed, operation under stochastic wind speed variation and torque-speed characteristics' of the emulated wind turbine at different feeds of wind speeds and coupled mechanical loads. Testing results verified the perfect fit of DTC in WTE application and the effectiveness of the HIL testing technique.
analysis and stable isotope natural abundances– Epipactis

You are what you get from your fungi: carbon and nitrogen stable isotopes in Epipactis 1 orchids.  Partially mycoheterotrophic plants are enriched in 13 C and 15 N compared to 26 autotrophic plants. Here, we hypothesise the identity of mycobiont clades found in 27 orchid roots is responsible for variation in 15 N enrichment of leaf bulk tissue in 28 partially mycoheterotrophic orchids. 29  We used the genus Epipactis as a case study and measured carbon and nitrogen 30 isotope natural abundances of eight Epipactis species, fungal sporocarps of four Tuber 31 species and autotrophic reference plants. Fungal mycobionts were determined using 32 molecular methods. We compiled stable isotope data of six further Epipactis species 33 and 11 ectomycorrhizal and four saprotrophic basidiomycetes from the literature. 34  The 15 N enrichment of Epipactis species varied between 3.2 ± 0.8 ‰ ( E. gigantea ; 35 rhizoctonia-associated) and 24.6 1.6 ( E. ; with 36 ectomycorrhizal ascomycetes). Sporocarps of ectomycorrhizal ascomycetes (10.7 ± 37 2.2 ‰) were significantly more enriched in 15 N than ectomycorrhizal (5.2 ± 4.0 ‰) 38 and saprotrophic basidiomycetes (3.3 ± 2.1 39  We suggest the observed gradient in 15 N enrichment of Epipactis species is strongly driven by 15 N abundance in their mycobionts; i.e. 15 N enrichment in Epipactis spp. 41 associated with rhizoctonias < 15 N enrichment in Epipactis spp. with ectomycorrhizal 42 basidiomycetes < 15 N enrichment in Epipactis spp. with ectomycorrhizal ascomycetes 43 and basidiomycetes < 15 N enrichment in Epipactis spp. associated with 44 ectomycorrhizal ascomycetes.
Regulation of APS reductase after salt stress

Sulfur containing compounds play an important role in plant stress defense, however, only a little is known about the molecular mechanisms of regulation of sulfate assimilation by stress. Using known Arabidopsis mutants in signaling pathways we analyzed regulation of the key enzyme of sulfate assimilation, adenosine 5'phosphosulfate reductase (APR), by salt stress. APR activity and mRNA levels of all three APR isoforms increased three-fold in roots after 5 hours of treatment with 150 mM NaCl. The regulation of APR was not affected in mutants deficient in abscisic acid (ABA) synthesis and treatment of the plants with ABA did not affect the mRNA levels of APR isoforms, showing that APR is regulated by salt stress in an ABA independent manner. In mutants deficient in jasmonate, salicylate, or ethylene signaling APR mRNA levels were increased upon salt exposure similar to WT plants. Surprisingly, however, APR enzyme activity was not affected by salt in these plants. The same result was obtained in mutants affected in cytokinin and auxin signaling. Signaling via gibberelic acid on the other hand turned out to be essential for the increase in APR mRNA by salt treatment. These results demonstrate an extensive post-transcriptional regulation of plant APR and reveal that the sulfate assimilation pathway is controlled by a complex network of multiple signals on different regulatory levels. WT (Col) roots untreated or treated with H2O2 for indicated time were resolved by SDS-PAGE. APR protein accumulation was compared by Western blotting with APR2 antiserum. M represents molecular weight marker.
The effect of training systemic information on the retention of fault-finding skills in manufacturing industries

This study examines how the process of skill retention (including both recall and reconstruction) can benefit from systemic training information that covers several structural, functional, physical (e.g., causal links), and supervisory features (e.g., system control and instrumentation). An experiment was carried out in which a group of participants who received systemic information was compared to a group trained in plant theory and to another three groups trained in heuristics that ranged in terms of high- and low-level diagnostic information. Learning curves revealed that all groups achieved high accuracy scores in diagnosing faults in a distillation plant. Six weeks later, a retention test showed that the systemic group (S) had a better recall score than the groups trained in theory (T) and high-level heuristics (HH). In addition, the S group had a better reconstruction score than the groups receiving the high- and low-level heuristics (H+) and the low-level diagnostic information (HL). An interesting finding was that high-level diagnostic information seemed to support the reconstruction phase of the retention process, whereas low-level information better supported the recall phase. Overall, it appeared that systemic information enabled trainees to acquire task cues to help recall and reconstruct diagnostic heuristics. © 2004 Wiley Periodicals, Inc. Hum Factors Man 14: 197–217, 2004.
LEAN PRODUCTION AND BUSINESS PERFORMANCE: INFLUENCES OF LEADERSHIP STYLES

Current global economy creates intense competitive environment among businesses to ensure their survival in the present challenging market. Strategic view and formulation is crucial to enhance efficiencies and effectiveness of the businesses performance. Prior research however found lack of leader’s intervention can lead to failures in lean production implementation. Hence, this study aims to examine the influence of leadership style in the implementation of lean production. Data were gathered from randomly selected Malaysian manufacturing firms. Findings reveal a positive relationship between lean production and business performance. Specifically, democratic leadership style was identified to moderate the relationship between lean production and business performance.
Edinburgh Research Explorer Influence of ocean acidification on a natural winter-to-summer plankton succession

Every year, the oceans absorb about 30% of anthropogenic carbon dioxide (CO 2 ) leading to a re-equilibration of the marine carbonate system and decreasing seawater pH. Today, there is increasing awareness that these changes – summarized by the term ocean acidification (OA) – could differentially affect the competitive ability of marine organisms, thereby pro-voking conditions could lead to a significant restructuring of the plankton community in the course of the succession. At the level of detail analyzed in this overview paper we found that CO 2 induced differences in plankton community composition were non-detectable during most of the succession except for a period where a phytoplankton bloom was fueled by remineralized nutrients. These results indicate: (1) Long-term studies with pelagic ecosystems are necessary to uncover OA-sensitive stages of succession. (2) Plankton communities fueled by regenerated nutrients may be more responsive to changing carbonate chemistry than those having access to high inorganic nutrient concentrations and may deserve particular attention in future studies.
Analyzing the Group Effectiveness and Dynamics of a Heterogeneous International Research Group In Cartagena (Colombia): A Case Study

School for Minority in Science, Technology, Engineering and Mathematics (LSAMP). Claude Hostos Community in Chemistry City College of New Ph.D. in Organic Chemistry the Graduate Center of the City University of New Chancellor’s Fellow (City University of New York) and a NIH Postdoctoral Fellow (Weill Cornell Medical College-Division of Molecular Medicine). As the Executive Director of the LSAMP, he was responsible for the day-to-day operation of the NYC Louis Stokes Alliance program across the 18 member campuses of City University of New York. Claude also served as the Co-Director of the Black Studies Program at the City College and the Project Director of the City College Black Male Leadership and Mentoring Program. The Black Male Leadership and Mentoring Project (BMLMP) at the City College of New York, provides a support system during the critical stages of academic and career development. Abstract Group activities are commonly employed in education. Groups that comprise members of different ethnicities, cultures and races make up the characteristics of a heterogeneous group. A case study was conducted on group dynamics to explore the different variables that influence group effectiveness. The effectiveness of the group was accessed by the big five personality traits and eight dimensions of group effectiveness with a selective sample of engineering undergraduate students. This research was part of an international research project in Colombia, Cartagena. Eight engineering students participated in this intensive international research abroad for two months in environmental research. The research project required students to work together in groups from multidisciplinary backgrounds (environmental engineering, environmental earth science, chemical engineering, and mechanical engineering) to solve problems pertaining to environmental research in an international setting. The purpose of this research is to establish a root understanding of group dynamics with an internationally diverse population. This case study is based on data obtained from direct qualitative observations and questionnaires to determine the factors related to group effectiveness. This paper intends to explore the nature of group dynamics within the context of international research with a multicultural/multiracial group of eight students.
Frequency spectrum analysis of lightweight foamed concrete using microwave dielectric measurement technique

The dielectric characterization of concrete is a significant parameter to study the microwave signal transmission for the building materials. In this paper, a microwave measurement system has been developed using open ended coaxial sensor and vector network analyzer for frequency spectrum analysis of lightweight foamed concrete. The measurement setup is validated prior to make sure the system is working properly. The results of dielectric constant and loss factor of different densities lightweight concrete samples are measured and analyzed from 150 kHz to 8 GHz. From the analysis, the lightweight foamed concrete is a frequency spectrum friendly building material. In addition, the relationship between the dielectric constant and density of the lightweight foamed concrete is found to be interrelated. The empirical modeling of some selected frequencies has been formed. The models are useful for the future application on determining the dielectric constant and characteristic of lightweight concrete samples.
Survey on Indian CLIR and MT systems in Marathi Language

: Cross Language Information Retrieval (CLIR) deals with retrieving relevant information stored in a language different from the language of user’s query. This helps users to express the information need in their native languages. Machine translation based (MT-based) approach of CLIR uses existing machine translation techniques to provide automatic translation of queries. This paper covers the research work done in CLIR and MT systems for Marathi language in India.
AIS Electronic Library

Online discussions are critical to the online classroom as a means for student collaboration, enhancing learning and supporting intrinsic motivation to succeed. Engagement in online discussions, however, is difficult to maintain. Gamification involves the use of gameplay mechanics for non-game applications (Deterding et al. 2011). It is designed to encourage users to compete with the ultimate goal of obtaining better results. While gamification has been shown to increase student engagement in the online classroom (Kapp 2012; Deterding 2012), very few studies have applied gamification as a learning analytic tool for online discussions. In response to this gap, the present study uses the theoretical foundation of flow theory (Csikszentmihalyi 1998) to develop and evaluate a method for gamifying online discussion boards. Specifically, this study proposes a method for the gamification of any online discussion board that has the ability to export data such as weekly posts and replies by student. We demonstrate the method by developing and evaluating a prototype based on the proposed method. Results from the evaluation of the prototype within an online university classroom show that the proposed method can improve motivation of students to engage in online discussions. Our work makes several important contributions to the information systems literature: First, it provides substantive evidence regarding the significance of gamified versus traditional discussion boards. Second, we provide a learning analytics tool in the form of a leaderboard which demonstrate its significance over the traditional discussion board in both student engagement and activity. Finally, our work makes significant contributions in the application of flow theory as it relates to information systems and education. From a practical perspective, our study shows that the implementation of a leaderboard as a learning analytic tool for traditional online discussion boards results in increased collaboration and engagement with the discussion.
Consumer’s Willingness-to-pay for Security in E-commerce Payment Systems

For accessing Internet shopping mall websites, online banking websites, and e-government websites, due to the Digital Signature Act of Korea, which was in force from 1999 to March 2015, South Korean consumers had to use a two-sided digital authentication mechanism (TSDAM) to prove their identities. Although the use of TSDAM in e-commerce is not required anymore, today, lots of e-commerce payment systems are still based on TSDAM. This raises the question how consumers perceive this security feature of e-commerce systems. To answer this question, we estimated consumers’ willingness-to-pay for different e-commerce attributes by using a conjoint analysis method. In detail, we investigated the stated preferences of individuals with respect to ease-of-use, compatibility, TSDAM, and additional
Seismic performance assessment of monopile-supported offshore wind turbines using unscaled natural earthquake records. Soil Dynamics and Earthquake Engineering, 109, 154-172.

The number of o ﬀ shore wind turbine farms in seismic regions has been increasing globally. The seismic per- formance of steel monopile-supported wind turbines, which are the most popular among viable structural systems, has not been investigated thoroughly and more studies are needed to understand the potential vulner- ability of these structures during extreme seismic events and to develop more reliable design and assessment procedures. This study investigates the structural performance assessment of a typical o ﬀ shore wind turbine subjected to strong ground motions. Finite element models of an o ﬀ shore wind turbine are developed and subjected to unscaled natural seismic records. For the ﬁ rst time, the sensitivity to earthquake types (i.e. crustal, inslab, and interface) and the in ﬂ uence of soil deformability and modeling details are investigated through cloud-based seismic fragility analysis. It is observed that monopile-supported o ﬀ shore wind turbines are parti- cularly vulnerable to extreme crustal and interface earthquakes, and the vulnerability increases when the structure is supported by soft soils. Moreover, a re ﬁ ned structural modeling is generally necessary to avoid overestimation of the seismic capacity of o ﬀ shore wind turbines.
Region Adjacency Graph Approach for Acral Melanocytic Lesion Segmentation

Malignant melanoma is among the fastest increasing malignancies in many countries. Due to its propensity to metastasize and lack of effective therapies for most patients with advanced disease, early detection of melanoma is a clinical imperative. In non-Caucasian populations, melanomas are frequently located in acral volar areas and their dermoscopic appearance differs from the non-acral ones. Although lesion segmentation is a natural preliminary step towards its further analysis, so far virtually no acral skin lesion segmentation method has been proposed. Our goal was to develop an effective segmentation algorithm dedicated for acral lesions. We obtain a superpixel oversegmentation of a lesion image by performing clustering in a joint color-spatial 5d space defined by coordinates of CIELAB color space and spatial coordinates of the image. We then construct a region adjacency graph based on this superpixel representation. We obtain the ultimate segmentation result by performing a hierarchical region merging. The proposed segmentation method has been tested on 134 color dermoscopic images of different types of acral melanocytic lesions (including melanoma) from various sources. It achieved an average Dice index value of 0.85, accuracy 0.91, precision 0.89, sensitivity 0.87, and specificity 0.88. Experimental results suggest the effectiveness of the proposed method, which would help improve the accuracy of other diagnostic algorithms for acral melanoma detection. The results also suggest that the computational approach towards lesion segmentation yields more stable output than manual segmentation by dermatologists.
METHODS AND SOFTWARE FOR SOLAR PLANT CLUSTER MANAGEMENT

: Nowadays, solar panel production technologies are developing rapidly, investments in solar energy are growing, so users are interested in increasing energy production for faster return on investment. To increase the efficiency of solar panels, special rotating mechanisms are used to rotate the panel perpendicularly to the sun rays. This allows users to significantly increase the amount of energy produced by the panel over time. This article considers ways to increase the efficiency of solar panels’ energy generation by using a minimum number of additional sensors. The article describes the solar power plant monitoring system which uses machine learning to resolve sun tracking problem. The advantages and disadvantages of a prototype are analyzed. The concept of microservices is described and the benefits of using it in the developed system are given. Different approaches to increase speed, quality and reliability of such systems are investigated on the example of a prototype. Efficiency of using proposed approaches has been tested on a solar simulator.
Multicomponent Reynolds-Averaged Navier--Stokes Modeling of Reshocked Richtmyer--Meshkov Instability-Induced Turbulent Mixing Using the Weighted Essentially Nonoscillatory Method

Multicomponent Reynolds-Averaged Navier–Stokes Modeling of Reshocked Richtmyer–Meshkov Instability-Induced Turbulent Mixing Using the Weighted Essentially Nonoscillatory Method by J. Tiberius Morán-López Co-chairs: James P. Holloway, Oleg Schilling Hydrodynamic instability-induced turbulent mixing has a primary role in many science and engineering applications. Elucidating reshocked Richtmyer–Meshkov instability is important for improving current techniques in predicting turbulence in complex flows and advancing many areas of high-energy-density physics. Shock-driven turbulent mixing induced by reshocked Richtmyer–Meshkov instability is investigated here using a multicomponent Reynolds-averaged Navier–Stokes (RANS) model including mixture molecular transport and thermodynamic coefficients closed with a two-equation K– turbulence model. The model is implemented in a hydrodynamics code using a third-order weighted essentially nonoscillatory (WENO) finite-difference method for the advection terms and a second-order centered WENO method for the gradients in the source and diffusion terms. Turbulent mixing generated by a shock accelerated perturbed air–sulfur hexafluoride interface with Atwood numbers At = ±0.67 is simulated for a variety of experiments with incident shock Mach numbers 1.20 ≤ Mas ≤ 1.98. Parametric studies are conducted to study the model sensitivity to variations in buoyancy production
Digital Capabilities: Getting Ahead of the Curve

The covid-19 pandemic has been a catalyst for digital transformation, causing organisations to go through complex systemic organisational change. The literature shows that pressure from the public is driving digital transformation, which is causing governments and the private sector to uplift their capabilities. Practitioners and researchers are calling for investments in digital capability. This exploratory field study found fifty-one digital capability initiatives in two governments, which are partitioned into four themes: Ways of Thinking, Ways of Learning, Ways of Doing and Ways of Enabling. The study applies organisational learning theory to show how immediate needs for user-centric and agile capabilities led to second-loop investments in achieving a shift in managers’ mindsets through action learning. Respondents reported that third-loop investments were necessary to enlist previously siloed services through reorganisation and changes to funding controls. By achieving all three loops of learning through investing in the four ‘Ways of’, organisations may get ahead of the digital transformation curve.
Detecting Hate Speech on English and Indo-Aryan Languages with BERT and Ensemble learning

The increasing use of social media platforms is making possible the communication between people around the world, including those with conflicting ideologies and cultures. However, some people use offensive language instead of having a polite conversation either because of little education or with the intention of intoxicating the debate. In this paper we analyze the results achieved by the UMUTeam of applying BERT models, either separate or combined with other popular models, for the HASOC’2021 shared-task for identifying offensive language in English, Hindi and Marathi. Our bests results are achieved with BERT for English classification subtask (1A), in which we reached a macro F1-score of 80.13%, and with ensemble learning for the rest of the subtasks, reaching macro F1-scores of 62.89% in English (subtask 1B), 75.20% and 51.67% in Hindi (subtasks 1A and 1B, respectively), and 84.23% in Marathi.