Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Three Improved Space-Vector-Modulation Strategies for the High-Speed Permanent Magnet Motor Fed by a SiC/Si Hybrid Inverter

The large current ripple caused by the limited switching frequency significantly degrades the control performance of the high-speed permanent magnet motor drive system. To mitigate the current ripple, the switching frequency of the inverter should be high enough. The purpose of this article is to reduce the current ripple of the HSPMSM drive system. First, a Silicon-Carbide/Silicon(SiC/Si) hybrid inverter is designed. The designed hybrid inverter consists of two SiC-MOSFETs and six Si-IGBTs, and the circuit modals of the SiC/Si hybrid inverter are analyzed. Second, based on the SiC/Si hybrid inverter, three improved space-vector-modulation (SVM) strategies are proposed. The core principle of the proposed SVM strategies is that most of the switching actions are transferred from the Si-IGBTs to the SiC-MOSFETs. The benefit from the low switching loss of the SiC device is that the total power loss can be significantly reduced. Besides, the SiC-MOSFETs can create the zero-voltage-switch condition for the Si-IGBTs, and then the switching loss of the Si-IGBTs can be almost eliminated. Finally, to verify the effectiveness of the proposed methods, sufficient simulations and experiments are implemented. The stator current ripple, total-harmonic-distortion, and the conversion efficiency of the inverter in the full power range are compared under the same condition based on the full-Si-IGBT inverter, the full-SiC-MOSFET inverter, and the SiC/Si hybrid inverter. The evaluated results sufficiently verify the superiority of the proposed SiC/Si hybrid inverter and the improved SVM strategies.
Increasing Communicative Competence for New Challenges and Opportunities of Industry 4.0

—The implementation of Industry 4.0 potentially generates social changes especially on the challenges and opportunity for the human resources with regard to competitiveness, flexibility and adaptability. The growing industrial context still requires soft skills such as self-organization, teamwork, and communication skills to increase. Furthermore, ability to communicate in foreign language is urgent as media of technology development and transfer. On the other hand, lack of foreign language proficiency may become the major problem in developing communicative competence, especially for Indonesian students who have large cultural gap between native language and the target-language which may cause bigger challenge to speak English as a foreign language. But in this study the influence of cultural aspects, intercultural communicative competence, was employed to increase learners’ communication skills. The research finding showed that most learners indicated their effort to transfer the message in their limitation of communicative competence by negotiating the meaning of words and neglecting the accuracy of the produced sentences although there is possibly lack of language proficiency. The chosen communication strategy was correlated with message reduction, fluency oriented and non-verbal communications strategies. These become influential input to improve teaching and learning foreign language, focusing on developing communicative competence.
A VALIDITY STUDY COMPARING XSENS WITH VICON

Conducting on-field measurements is warranted to investigate and reduce real-world anterior cruciate ligament (ACL) injury risk. However, validation is first warranted to ensure how Xsens relates to Vicon. The purpose of this study was therefore to compare lower extremity kinematics from Xsens with Vicon. Ten recreational ball team sport athletes (5 females, 5 males) were included, who performed isolated and dynamic movements. Strong correlations were found for movement patterns (>0.7) for the isolated as well as the dynamics movements. However, absolute joint angles differ between both systems (ranging from 0.7o 14.5o). This should be considered when using Xsens in an applied sport setting as drawing conclusions for being or not being at risk for ACL injury may depend on the system used. A major strength of this study is the inclusion of movements that are restricted to one plane and one joint as well as dynamic highintensity movements resembling movements which occur in sports (e.g. change of direction). This analysis of methods of data collection leads to further advancement of knowledge the science of biomechanics in applied sports settings.
Accurate prediction of cell composition, age, smoking consumption and infection serostatus based on blood DNA methylation profiles

DNA methylation is a stable epigenetic alteration that plays a key role in cellular differentiation and gene regulation, and that has been proposed to mediate environmental effects on disease risk. Epigenome-wide association studies have identified and replicated associations between methylation sites and several disease conditions, which could serve as biomarkers in predictive medicine and forensics. Nevertheless, heterogeneity in cellular proportions between the compared groups could complicate interpretation. Reference-based cell-type deconvolution methods have proven useful in correcting epigenomic studies for cellular heterogeneity, but they rely on reference libraries of sorted cells and only predict a limited number of cell populations. Here we leverage >850,000 methylation sites included in the MethylationEPIC array and use elastic net regularized and stability selected regression models to predict the circulating levels of 70 blood cell subsets, measured by standardized flow cytometry in 962 healthy donors of western European descent. We show that our predictions, based on a hundred of methylation sites or lower, are less error-prone than other existing methods, and extend the number of cell types that can be accurately predicted. Application of the same methods to age, smoking consumption and several serological responses to pathogen antigens also provide accurate estimations. Together, our study substantially improves predictions of blood cell composition based on methylation profiles, which will be critical in the emerging field of medical epigenomics.
Zero Voltage Switching Criteria of Triple Active Bridge Converter

Triple active bridge (TAB) as an isolated multiport converter is a promising integrated energy system for smart grids or electric vehicles. This article aims to derive and analyze zero voltage switching (ZVS) regions of TAB, in which both switching losses are reduced, and electromagnetic interference issues are mitigated. In the proposed closed-form solution of ZVS criteria, parameters such as the parasitic capacitance of the switches, the leakage inductance of the transformer, the switching frequency, the port voltage, the phase-shift inside and between the full-bridges are all taken into account. The analysis shows how the five degrees of freedom can be used to maintain ZVS operation in various operating points. The analysis and derived closed-form ZVS criteria are experimentally verified using a laboratory prototype. The derived analytical ZVS criteria are a powerful tool to study and optimize the operation of TAB converters.
LEAF MORPHO-ANATOMICAL AND PHYSIOLOGICAL PLASTICITY OF TWO VRIESEA SPECIES (BROMELIACEAE) IN ATLANTIC COAST RESTINGAS (BRAZIL) / PLASTICIDADE MORFOANATÔMICA E FISIOLÓGICA FOLIAR DE DUAS ESPÉCIES DE VRIESEA (BROMELIACEAE) EM RESTINGAS DA COSTA ATLÂNTICA (BRASIL)

Environmental variations may lead to structural and functional responses among Bromeliaceae and knowledge of these responses can allow better understanding about ecological processes and more effective planning of handling and conservation programs in protected areas. Because of the diverse habitats occupied by Vriesea, this study aimed at assessing the morpho-anatomical plasticity and photosynthetic pigment contents in V. neoglutinosa and V. procera occurring in the Open Clusia and Dry Forest formations of a restinga vegetation area in Espírito Santo State, Brazil. In general, plants in Dry Forest formation showed higher growth measurements and lower leaf inclination. In Open Clusia formation, both species showed leaves with higher scale density, whereas V. neoglutinosa also showed higher stomatal density. The chlorenchyma thickness of V. procera was greater in Dry Forest. We did not find differences in leaf blade thickness and water-storage parenchyma for both species between the two environments. We found abundant oil substances in guard and subsidiary cells of Open Clusia samples. In both species, individuals from the Dry Forest formation showed higher Brazilian Journal of Development Braz. J. of Develop. , Curitiba, v. 6, n. 9 , p.71706-71727, sep. 2020. ISSN 2525-8761 71707 chlorophyll a and b and total chlorophyll contents, whereas V. neoglutinosa samples from the Open Clusia formation showed higher carotenoid contents. Of the characteristics assessed, photosynthetic pigment contents showed higher plasticity. We found that morphostructural and functional plasticity in both V. neoglutinosa and V. procera is possibly influenced by variations in irradiance and in nitrogen and organic matter contents in the soils of the evaluated plant formations.
The genetic and evolutionary basis for somatic cell differentiation in the multicellular alga Volvox carteri: investigations into the regulation of regA expression

The evolution of life is characterized by a series of major transitions in the complexity of biological systems. One such transition was from unicellular to multicellular organisms and involved the evolution of sterile somatic cells-a premier example of cooperation. The goal of this thesis was to investigate the genetic and evolutionary basis for somatic cell differentiation in Volvox carteri, a simple multicellular green alga composed of ca. 2,000 somatic cells and up to 16 reproductive cells (gonidia). In V carteri, the terminal differentiation of small somatic cells involves the expression of regA, a gene coding for a transcription factor thought to repress nuclear genes required for chloroplast biogenesis and, thus, for cell growth and division. regA induction is likely dependent on cell size, but the molecular mechanism whereby cell size is translated into regA expression remains to be elucidated. This study focused on the regulation of regA expression by employing mechanistic and evolutionary approaches. Using a regA-/gonidialess double mutant strain characterized in this study, I showed for the first time that in addition to its developmental expression, regA can be induced by environmental stimuli, and this induction is also dependent on cell size. These findings provide support for a previously proposed hypothesis that regA evolved from an ancestral stress-response gene. Furthermore, in mutants expressing a non-functional RegA protein, the conditions that trigger regA expression also induce programmed cell death, which points towards a dual function for regA in cell fitness: to decrease cell reproduction (by repressing cell growth) and to increase cell survival (by conferring resistance to stress). Genes with antagonistic pleiotropic effects on fitness have been proposed to stabilize cooperation, and regA is the first such example in multicellular organisms with unitary development (i.e., developed 11 from a single cell). To identify transcription factors binding to cis-regulatory elements of regA I have used yeast one-hybrid assays. No potential candidates were identified, suggesting that cooperative binding of proteins or multi-protein complexes are involved in the regulation of regA. Overall, this study provides novel insights into our understanding of somatic cell differentiation, from both a mechanistic and an evolutionary perspective.
OPTIMIZING HEATING EFFICIENCY OF HYPERTHERMIA: SPECIFIC LOSS POWER OF MAGNETIC SPHERE COMPOSED OF SUPERPARAMAGNETIC NANOPARTICLES

Magnetic nanoparticle (MNP) based thermal therapies have shown importance in clinical applications. However, it lacks a compromise between its robustness and limitations. We developed theoretical strategies to enhance the heating efficiency, which could be utilized in thermal therapies and calculated parameter dependence for superparamagnetic MNPs (approximative ellipsoid-shaped) within a sphere-shaped ball. Then we calculated specific loss power (SLP) for magnetic particles in a magnetic ball. The dependency of features of the nanoparticles (such as mean particle size, a number of particles, frequency and amplitude of the exposed field, relaxation time, and volume gap between particles and a sphere-shaped ball) on the SLP or the heating effect in superparamagnetic MNPs was analyzed. In this study, optimal parameter values were calculated using Kneedle Algorithm as the optimization technique to represent the accurate heating efficiency. The influence of a number of particles in a sphere-shaped ball shows that SLP of magnetic particles increases with the increasing number of particles (N); however, after N = 10 particles, the SLP increment is insignificant. The most remarkable result arising from this analysis is that when particles are closer together (less volume gap of a sphere-shaped ball), high SLP is found for the same number of particles. This model also predicts that the frequency dependency on the SLP is negligible when the frequency is higher than 10 kHz depending on the size of a sphere-shaped ball and nanoparticle parameters. This analysis has shown that the SLP of MNPs, in a sphere-shaped ball, strongly depends on magnetic parameters and properties of the particles. In brief, we have demonstrated, for the first time, impact on SLP of the accumulation of ellipsoid-shaped superparamagnetic nanoparticles into a sphere-shaped ball. This finding has essential suggestions for developing links between heating properties with loose aggregate and dense aggregate scenarios in the superparamagnetic condition.
Information as Intervention: How Hurricane Risk Communication Interacted with Vulnerability and Capacities in Superstorm Sandy

As meteorological prediction and communication technologies have advanced, disaster outcomes following hurricanes have not shown matching progress. Through analysis of focus group conversations held with specific populations in New York City communities affected by Superstorm Sandy in 2012, we investigate how risk communication might help mediate societal vulnerability to hurricanes by influencing the information that people receive, their perceptions of approaching hurricane risks, and their behavioral responses. The focus group conversations illuminated both shared themes and important differences among the various populations who participated in the study. The findings illustrate the complexity behind the term vulnerability, particularly as it interacts with risk communication to influence outcomes. We propose that risk communication with diverse populations can be improved by incorporating understandings of unseen capacities as well as susceptibilities, therefore moving toward a more just and equitable hazard information system.
Promoting biodiversity and ecosystem services in managed boreal forests through disturbance-mediated functional heterogeneity

The majority of global forest area is considered neither forest plantation nor formally protected. In these forests multiple-use prevails and forests have the potential to be managed sustainably while providing multiple ecosystem goods and services. However, in practice, management in these forest areas is usually intensive, often securing the provision of a single commodity: wood biomass. This management leads to forest simplification, disregarding forest multi-functionality, biodiversity conservation and ecosystem services provided by forest biodiversity. In this thesis, I evaluate the effect of increasing forest functional heterogeneity on biodiversity and multiple ecosystem services in managed boreal forests. My research takes advantage from a large-scale, replicated ecological experiment initiated in Finland in 2000, where forest structure was manipulated following disturbance guided management, with several retention levels at harvesting in combination with prescribed fire in 24 study sites. The results show that local scale heterogeneity mediated by fire and high retention improves lingonberry yield and performance in burnt harvested forests. Dead wood and postfire soil structure from these forests are beneficial for bee abundance and diversity, through an increase in nesting resources. Early successional burned forests exhibit increased levels of parasitoid functional diversity driven by higher structural complexity of vegetation mediated by disturbance. At a landscape scale, old-growth forests provide with abundant bilberry cover, spring flowering and berry yield, offering complementarity of flowering resources for pollinators nesting on post-harvest forests. Habitat diversity generated by old-growth forests, variable tree retention and fire intensity, promotes pollinator spatial and temporal turnover, especially in burned harvested forests, and large-scale parasitoid functional trait diversity. In conclusion, emulation of forest disturbance at harvesting, together with the preservation of natural old-growth forests increase functional heterogeneity in managed boreal forests and hold promise for reconciling production forestry with sustainable forest management, provision of critical ecosystem services and biodiversity conservation.
Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges

The Industrial Internet of Things (IIoT) is a crucial research field spawned by the Internet of Things (IoT). IIoT links all types of industrial equipment through the network; establishes data acquisition, exchange, and analysis systems; and optimizes processes and services, so as to reduce cost and enhance productivity. The introduction of edge computing in IIoT can significantly reduce the decision-making latency, save bandwidth resources, and to some extent, protect privacy. This paper outlines the research progress concerning edge computing in IIoT. First, the concepts of IIoT and edge computing are discussed, and subsequently, the research progress of edge computing is discussed and summarized in detail. Next, the future architecture from the perspective of edge computing in IIoT is proposed, and its technical progress in routing, task scheduling, data storage and analytics, security, and standardization is analyzed. Furthermore, we discuss the opportunities and challenges of edge computing in IIoT in terms of 5G-based edge communication, load balancing and data offloading, edge intelligence, as well as data sharing security. Finally, we introduce some typical application scenarios of edge computing in IIoT, such as prognostics and health management (PHM), smart grids, manufacturing coordination, intelligent connected vehicles (ICV), and smart logistics.
Can Visceral Adiposity Predict Paradoxical Prognostic Implications on Lethal Arrhythmic Events in Chronic Heart Failure Patients with Impaired Cardiac Sympathetic Activity?

T he sympathetic nervous system of the heart is critically involved in the controlling cardiovascular homoeostasis by regulation of cardiac contractility, conduction, heart rate and peripheral vasoconstriction (1). Myocardial imaging with 123 I-metaiodobenzylguanidine ( 123 I-MIBG), an analogue of norepinephrine, is useful for detecting abnormalities of cardiac sympathetic nerve activity (CSNA) in heart failure patients (2). This imaging modality has been reported as the useful prognostic value for pump failure death (3, 4), or sudden death due to lethal arrhythmia (5, 6) in these patients.
Effects of the ionic imbalance in the fertigation solution on growth, proline content and nitrate reductase activity in muskmelon seedlings

The aim of this research was to evaluate the effects of ionic imbalance of fertigation solution in muskmelon (Cucumis melo) seedlings on growth, proline content and nitrate reductase activity (NRA). ‘Galia’ melon seeds were primed with 8 g·L of N different N-form fertilizers (NH4NO3, KNO3 or NH4NO3+KNO3), or nonprimed (Control). These seeds were germinated and grown in perlite inside a passive greenhouse nursery. The water quality of “place Pintados region Tarapacá Chile” was reproduced (EC: 2.6 dS m, pH: 7.3; Na: 12.2 meq L, Cl: 18.12 meq L-1, SARadj: 10.4). Four fertigation solutions were prepared with this water, maintaining a K/(Ca + Mg) ratio of 0.4 and pH between 6.1 and 6.6, but modifying EC (3.0; 4.1; 5.1; 6.2), SARadj (10.4; 9.2; 8.1; 7.0) and NO3/Cl ratio (0.47;0.73;0.86;1.25). The ionic ratio in fertigation solutions was modified during germination and seedling growth, which led to an increase of NO3 from 8.6 to 22.8 meq L. Seedlings fertigated with 5.1 dS m (SARadj: 8.1) nutrient solution showed the highest plant height, leaf number and leaf area, but there was no significant effect on fresh and dry biomass. Proline content and NRA showed a high correlation with NO3 concentration. The lowest proline content was obtained at 12 meq L NO3 in the fertigation solution, indicating the lowest stress level and the highest efficiency in nitrogen absorption. Moreover, proline levels decreased before seedlings were planted. This different behaviour between endogenous and induced NRA may be useful to optimize NO3 supply and management in the nursery.
Saturated PI Control for Nonlinear System With Provable Convergence: An Optimization Perspective

The saturated PI (proportional-integral) based method is widely applied in nonlinear system control fields. It can be regarded as a black-box type approach with the saturated control input and utilizes the tracking error of the system output with its integral information. However, as precise description of plants’ system details is usually difficult, saturated PI control approaches have to empirically tune the proportional and integral parameters to guarantee reliable convergence, making its general convergence mechanism not interpreted. In this brief, for the first time, the convergence of the saturated PI control scheme is proved through an optimization solver based on a primal dual neural network. Illustrate examples including control of an inverted-pendulum mobile vehicle and a manipulator demonstrate the efficiency of the proposed saturated PI control method in such an optimization perspective.
xROM: A Toolkit for Reduced-Order Modeling of Fluid Flows

This book initiates the new Series `Machine Learning Tools in Fluid Mechanics' published by the Technische Universitat Braunschweig. The series focuses on machine learning tools for fluid mechanics tasks, like analysis, dynamic modeling, response modeling, control and closures. The tools comprise documentations of publicly available software packages, of good practices and of application studies. Our book introduces the software platform xROM, which is a freely available package for spectral analysis and reduced-order modeling. Initially, xROM was developed as a tool to quickly derive dynamic POD models from snapshot data and Galerkin projection using the Navier-Stokes equations. This purpose has since expanded, and xROM has become a platform that allows easy modular expansions and collaborations with partners worldwide. In this book, however, we focus on POD-based Galerkin modeling for reasons of simplicity.