Miracle-dz/UniFAR-FTUs huggingface dataset:
Carrier-Based Generalized Discontinuous PWM Strategy for Single-Phase Three-Legs Active Power Decoupling Converters

Three-legs active power decoupling (APD) converters are widely studied in the single-phase grid-connected systems to enhance the circuit lifetime by creating an alternative path for the typical existing dc-side power pulsating ripple. Therefore, this reduces the requirement of smoothing dc capacitors allowing compact designs even with the implementation of long life metalized film technology. In this article, to allow enhancement of the system power density by improving power conversion efficiency and thus reducing the requirement of thermal management of the semiconductors, a carrier-based generalized discontinuous PWM strategy is proposed. This method detects the converter ac currents and ac reference voltages to determine the optimum clamped duration in each one of the three bridge-legs, which will minimize the converter overall switching losses. The proposed modulation method is analyzed and validated on a PLECS simulation and a 2 kVA single-phase three-legs APD converter.
Effects of Fear of COVID-19 on Mental Well-Being and Quality of Life among Saudi Adults: A Path Analysis

Background: The coronavirus disease 2019 (COVID-19) pandemic has been very disruptive, and thus is likely to result in substantial challenges to mental health. Objectives: This study aimed to investigate the effects of fear of COVID-19 on the mental well-being and quality of life among Saudi adult population and to evaluate the impact of perceived social support. Materials and Methods: This cross-sectional study used an anonymous online survey, where participants were administered the Fear of COVID-19 Scale, Hospital Anxiety and Depression Scale, European Health Interview Survey-Quality of Life and Medical Outcomes Study Social Support Survey. A path analysis was used to investigate the proposed theoretical domain structure linking fear of COVID-19 with perceived social support, mental well-being and quality of life. Results: A total of 1029 Saudi adults with a mean age of 33.7 years (SD 11.5) responded to the survey. Descriptive analysis showed that this sample was fearful of COVID-19, anxious and depressed but, at the same time, reported high quality of life and perceived social support scores. Path analysis indicated that increased fear of COVID-19 was directly associated with diminished mental well-being, which in turn was associated with lower quality of life. The beneficial effects of perceived social support were stronger on quality of life than on mental well-being. No direct link was found between fear of COVID-19 and quality of life. Conclusion: These findings emphasize the importance of having effective social systems in place to minimize the impact of the COVID-19 pandemic on mental well-being and quality of life.
Analytical Calculation of Active Magnetic Bearing Based on Distributed Magnetic Circuit Method

To solve the problem that coupled magnetic flux and saturation of active magnetic bearing (AMB) cannot be taken into account in the traditional magnetic circuit calculation method together, this paper proposes a novel analytical calculation method based on distributed magnetic circuit method (DMCM). First, a magnetic circuit model with multiple magnetic circuits is built, we can obtain the initial flux density of each section by magnetic circuit calculation. Next, the magnetomotive force (MMF) of each magnetic circuit is calculated by the B-H curve of the ferromagnetic material. Then, the air-gap flux density under each magnetic pole center is obtained by further iterative calculations according to the magnetic potential error. On the basis, the flux density distribution along the air-gap circumference is obtained by one-dimensional (1D) relative permeance function, and thus the bearing capacity is derived and a loss calculation method is introduced. Finally, the finite element method (FEM) and experimental results show that the proposed method is feasible and effective.
Electrocatalysis by electrodeposited spherical platinum microparticles dispersed in a polymeric film electrode

Description de la preparation et des caracteristiques d'une electrode de carbone vitreux, recouverte de poly(acide vinylacetique) contenant des microparticules spheriques, dispersees, de platine. Considerations sur l'utilisation et les proprietes d'une telle electrode pour la generation electrocatalytique d'hydrogene et la reduction d'oxygene
An Autonomous Hand Hygiene Tracking Sensor System for Prevention of Hospital Associated Infections

Hospital associated infection (HAI) can lead to serious medical issues in healthcare systems, which is a major concern in the recent era. Hand hygiene is considered as an effective measure to prevent cross infections in hospital environments. Research efforts in the field of Internet of Things (IoT) can provide reliable edge-based solutions in hospitals to prevent HAI by adopting sensing, networking, and computing technologies. In this paper, we present a prototype for autonomous hand hygiene tracking combining different IoT technologies, which can be applied in healthcare environments to monitor hand hygiene activities and better prevent HAIs. The system can record hand-washing activities and provide prompt feedback if the hand-washing is not performed as required using wearable devices and smart dispensers. Collected data are transferred to a gateway via Bluetooth Low Energy (BLE) and Long Range (LoRa) wireless technologies for long-range network coverage. The hand-washing data are processed at the edge of the network (i.e., router and gateway) to provide low-latency feedback. The data can also be forwarded to a cloud server for storage, analysis, and visualization. The proposed hand hygiene tracking prototype has been tested and evaluated under different scenarios in a mock ward, demonstrating its applicability in hospital environments.
A new tautomeric zwitterion form of 2‐acylamino‐4H‐1,3,4‐oxadiazino[5,6‐b]quinoxalines in solution

The reaction of 2-acyiamino-8-chloro-4-methyl-4H-1,3,4-oxadiazino[5,6-b]quinoxalines 2a-d with methyl iodide/base gave the 8-chloro-4,10-dimethyl-4H-1,3,4-oxadiazino[5,6-b]quinoxalin-10-ium-2-acylamidates 4a-d, respectively. Comparison of the nmr spectral data between compounds 2a-d and 4a-d in deuteriodimethyl sulfoxide or in deuteriotrifluoroacetic acid established that compounds 2a-d existed as the zwitterionic tautomers 2′a-d in solution.
RE-INVESTIGATING ENGLISH ORIGINS OF NEW ZEALAND ENGLISH VIA PHYLOGENETIC RECONSTRUCTION

: New Zealand English is one of the newest English variants among native English speakers in New Zealand. However, details of its origins remains under debate, despite the consensus on Maori influence and the global picture of its history, and two questions are long-unsolved: what English variant(s) contribute(s) to the origin(s) of New Zealand English, and where New Zealand English is on the family tree of English variant. On these questions, previous studies give two different hypotheses, namely “single-origin” and “mixing-bowl”, neither of which however, is decisive. In this study, this two questions are re-investigated via phylogenetic reconstruction of English variants. By using data collected from Accents of English from Around the World database and Sound Comparisons, the phylogenetic tree of English dialects is constructed via Lingpy. The results shows that New Zealand English is exceptionally likely to be a “mixing-bowl,” where Scottish English and American English and even South African English are among major contributors.
Identification and Quantitative Determination of Madder by High Performance Liquid Chromatography: Application to Historical Textiles

Abstract A reversed phase HPLC method has been developed for the identification and quantification of madder applied to an old textile. An isocratic method was used for the identification of alizarin and purpurin, the main pigments in the madder plant, which were identified and quantified in cotton and wool reference samples and in the unknown textile. FTIR-spectroscopy was also used for the identification of pigment and fiber of the unknown sample.
Planococcus maritimus ML1206 Isolated from Wild Oysters Enhances the Survival of Caenorhabditis elegans against Vibrio anguillarum

With the widespread occurrence of aquaculture diseases and the broad application of antibiotics, drug-resistant pathogens have increasingly affected aquatic animals’ health. Marine probiotics, which live under high pressure in a saltwater environment, show high potential as a substitute for antibiotics in the field of aquatic disease control. In this study, twenty strains of non-hemolytic bacteria were isolated from the intestine of wild oysters and perch, and a model of Caenorhabditis elegans infected by Vibrio anguillarum was established. Based on the model, ML1206, which showed a 99% similarity of 16S rRNA sequence to Planococcus maritimus, was selected as a potential marine probiotic, with strong antibacterial capabilities and great acid and bile salt tolerance, to protect Caenorhabditis elegans from being damaged by Vibrio anguillarum. Combined with plate counting and transmission electron microscopy, it was found that strain ML1206 could significantly inhibit Vibrio anguillarum colonization in the intestinal tract of Caenorhabditis elegans. Acute oral toxicity tests in mice showed that ML1206 was safe and non-toxic. The real-time qPCR results showed a higher expression level of genes related to the antibacterial peptide (ilys-3) and detoxification (ugt-22, cyp-35A3, and cyp-14A3) in the group of Caenorhabditis elegans protected by ML1206 compared to the control group. It is speculated that ML1206, as a potential probiotic, may inhibit the infection caused by Vibrio anguillarum through stimulating Caenorhabditis elegans to secrete antibacterial effectors and detoxification proteins. This paper provides a new direction for screening marine probiotics and an experimental basis to support the potential application of ML1206 as a marine probiotic in aquaculture.
Developing evidence-based teaching practice

feature in their practices. All the participants found that knowledge construction happened most efficiently in social settings where experiences, reflection and critical analysis could be shared with others and provide foundations for new learning. Biculturalism and M ä ori models were also consistent themes, with the concepts of ako (to teach and to learn) and tuakana/teina (relationship; older expert guides a younger novice) informing practice. Constructivism theory, including the use of experiential learning (Knowles Kolb, 2015) and scaffolding 1966), and social constructivism, using Vygotsky’s (1978) zone of proximal development, are the key theories that inform these teaching practitioners. Humanism theory, supported by Te Whare Tapa Wh ä (Durie, 1998), informed teachers of health and the online Leadership for Change course. Social cognitive theory informed teaching in construction technology, using observation, imitation and modelling (Bonner et al., 2017). Each teacher was drawn to pedagogical theories and models depending on the ‘fit’ with their individual specialist areas. For example, Sarah was drawn to andragogy and the experiential learning cycle because it could be applied to clinical practice learners in occupational therapy.
Crafting a System for Knowledge Discovery and Organisation: A Case-Study on KOS for a Non-Standard German Legacy Dataset

: This paper describes a case-study developing a knowledge organisation system (facet thesaurus) on the example of a non-standard German language legacy dataset, DBÖ [Datenbank der bairischen Mundarten in Österreich / Database of Bavarian Dialects in Austria]). A particular focus is placed on the 109 original data collection questionnaires contained in the collection, which are understood as an entry point to the entire collection. Here they serve as a case-study to demonstrate the process, which may be extended to the remainder of the collection. Ranganathan (1933, 1967) created the first faceted scheme - Colon Classification - to classify books in libraries. Faceted classification has also been used to assist automated search and retrieval of information (Prieto-Diaz 1991). According to Mills (2004), facet analysis has a very vital role for information retrieval and in the design of classificatory structures by the application of logical division to all forms of the content of records, subject and imaginative. The natural product of such division is a faceted classification. Building on these previous endeavours, we here introduce a facet thesaurus for eliciting and promoting access and navigability for the items in this collection, in order to make cross cutting topics accessible.
Psychological (In)Flexibility Mediates the Effect of Loneliness on Psychological Stress. Evidence from a Large Sample of University Professors

Psychological stress, loneliness, and psychological inflexibility are associated with poorer mental health and professional performance in university teachers. However, the relationship between these variables is understudied. The aim of the present study is to analyze the mediating role of psychological (in)flexibility on the effect of loneliness on psychological stress. A total of 902 professors from 11 universities in Ecuador were analyzed using standardized scales: the Perceived Stress Scale (PSS-14) to assess psychological stress, the Loneliness Scale Revised-Short (UCLA-3) for loneliness, and the Avoidance and Action Questionnaire (AAQ-7) and Life Engagement Test as double measures of psychological (in)flexibility. Mediation was tested by using PROCESS macro for SPSS. The results indicated that psychological flexibility mediated the relationship between loneliness and stress in university professors, regardless of sex and the measure of psychological (in)flexibility considered. The practical implications of the results are discussed herein.
DSC-FLL BASED SENSORLESS CONTROL FOR PERMANENT MAGNET SYNCHRONOUS MOTOR

The (6k ± 1)th harmonics exist in the extended electromotive force estimates due to the influence of the inverter nonlinearities and the flux spatial harmonics in the process of sensorless control of permanent magnet synchronous motor (PMSM), which give rise to the (6k)th harmonic in the rotor position estimate. A method of rotor position observation based on the time delay signal cancellationfrequency locked loop (DSC-FLL) is proposed to improve the sensorless control system of PMSM. The equivalent back EMF information is obtained by using the sliding mode observer, and the harmonic component in the specified back EMF observation value is filtered by using the delay signal elimination operator in the two-phase static coordinate system. The frequency locking loop is designed to track the rotor position information online, so as to improve the observation accuracy of the rotor position information. The model of sensorless control system of PMSM based on DSC-FLL is established and compared with the model of sensorless control system of PMSM based on arctangent function. The results show that after adopting the method of rotor position observation based on DSC-FLL, the high harmonic in back EMF is suppressed, the error of rotor position fluctuation observation reduced, and the error of rotation speed observation reduced. The observation accuracy of rotor position information is significantly improved.
MODELLING AND ANALYSIS OF FUEL ASSEMBLY VIBRATIONAL MODES IN PWRS USING SIMULATE-3K

Some of the KWU pre-KONVOI PWRs operating across Europe saw a systematic increase in the neutron noise levels over several cycles in the last decade, and subsequently, core internals’ movements, especially vibrations of fuel assemblies with specific designs were identified as one of the plausible causes. Therefore, it is important to develop computational methods that can allow to investigate and predict the reactor noise response to fuel assemblies vibrations. To this aim, the 3D nodal reactor dynamics code SIMULATE-3K is used at PSI with a special module called the ‘assembly vibration model’ that imitates time-dependent motions of fuel assemblies by dynamically modifying the water-gaps surrounding the laterally moving fuel assemblies. The varying water-gaps are represented by the variation in the corresponding two-group macroscopic cross sections generated using the lattice code CASMO-5 in 2D. The studies conducted so far to assess the methodology for full core noise simulations were based on assuming vibrations of a clamped-free cluster of fuel assemblies that are unsupported from both ends. However, as this represents a non-physical movement, further developments were made at PSI to allow simulating more realistic movements of fuel assemblies such as the cantilevered mode vibration. The updated methodology, along with evaluations of the simulated noise response to realistic vibration modes, is presented in this paper. Results show that, as expected, the radial and axial neutron noise behaviour follow the vibration pattern of the imposed time-dependent axial functions corresponding to the natural oscillation modes of the fuel assemblies, thereby providing confidence in the application of the developed methodology for numerical neutron noise analyses of the PWR cores.
Synthesis and Characterization of Monodisperse Manganese Oxide Nanoparticles−Evaluation of the Nucleation and Growth Mechanism

Magnetic nanoparticles of the 3d transition metal oxides have gained enormous interest for applications in various fields such as data storage devices, catalysis, drug-delivery, and biomedical imaging. One major requirement for these applications is a narrow size distribution of the particles. We have studied the nucleation and growth mechanism for the formation of MnO nanoparticles synthesized by decomposition of a manganese oleate complex in high boiling nonpolar solvents using TEM, FT-IR, and AAS analysis. The exceptionally narrow size distribution indicates that nucleation and growth are clearly separated. This leads to a uniform growth with a very narrow size distribution on the existing nuclei. The particle size can be controlled by adjusting the reaction time, reaction temperature, solvent, and heating rate. The particle size increases with temperature, reaction time, and the chain length (boiling point) of the solvent. FT-IR and NMR spectra revealed that the oleate capping agent binds to the surfa.
SPECIALIZED NURSING TERMINOLOGY FOR THE CLINICAL PRACTICE DIRECTED AT COVID-19

ABSTRACT Objective: to build a specialized terminology for the clinical nursing practice for people with COVID-19, based on the Seven Axis Model of the International Classification for Nursing Practice. Methods: a descriptive and documentary study, carried out in April 2020. The terms were extracted from official documents of the Ministry of Health. The data were treated through terminological analysis, that is, the terms were organized through a classification system, which, in this research, was represented by the Seven Axis Model, version 2019. Also in the delimitation of the thematic field of the terminological analysis, the method of cross-mapping was chosen so that the terms resulting from the normalization process, derived from the literature, were cross-referenced with the terms of the International Classification for Nursing Practice in its seven axes. Results: after the normalization process, 472 useful terms were found. These were submitted to cross-mapping, totaling 263 constant terms and 211 non-constant terms. Conclusion: the study allowed identifying terms in the literature, which can be used by nurses in the care of people affected by COVID-19 and will support the stages following the construction of a terminological subset for information and communication to the Nursing practice.
Association of coronary artery dominance and mortality rate and complications in patients with ST-segment elevation myocardial infarction treated with primary percutaneous coronary intervention

Background: Percutaneous coronary intervention (PCI) is the treatment of choice for patients with ST-segment elevation myocardial infarction (STEMI). Effect of coronary artery dominance on the patients' outcome following primary PCI (PPCI) is not fully investigated. We investigated the association of coronary artery dominance with complications and 1-year mortality rate of PPCI. Materials and Methods: In this retrospective study, patients with STEMI treated with PPCI from March 2016 to February 2018 were divided into three groups based on their coronary dominancy: left dominance (LD), right dominance (RD), and codominant. Demographic characteristics, medical history, results of physical examination, electrocardiography, angiography, and echocardiography were compared between the groups. Results: Of 491 patients included in this study, 34 patients (7%) were LD and 22 patients (4.5%) were codominant. Accordingly, 54 propensity-matched RD patients were included in the analysis. The demographics and comorbidities of the three groups were not different (P > 0.05); however, all patients in the RD group had thrombolysis in myocardial infarction (TIMI) 3, while five patients in the LD and five patients in the codominant group had a TIMI ≤2 (P = 0.006). At admission, the median left ventricular ejection fraction (LVEF) was highest in RD patients and lowest in LD and codominant patients (34%, P = 0.009). There was no difference in terms of success or complications of PCI, in-hospital, and 1-year mortality rate (P > 0.05). Conclusion: Patients with left coronary artery dominance had a higher value of indicators of worse outcomes, such as lower LVEF and TIMI ≤ 2, compared with RD patients, but not different rates of success or complications of PCI, in-hospital, and 1-year mortality. This finding may suggest that interventionists should prepare themselves with protective measures for no-reflow and slow-flow phenomenon and also mechanical circulatory support before performing PPCI in LD patients.
Automatic Clustering-Based Two-Branch CNN for Hyperspectral Image Classification

It is observed that the great spectral variation in the same hyperspectral image (HSI) pixel class often leads to misclassification. To solve this problem, we have proposed an automatic clustering-based two-branch convolutional neural network (CNN): first, to reduce the intraclass spectral variation, the HSI pixels are automatically subdivided into smaller classes by clustering; second, in order to suppress the interference of spectral amplitude variation, the SincNet is introduced to capture the spectral pattern by giving more weight to the spectral shape; third, the DS-CNN with double directional strip convolution kernel is designed to extract spatial feature, so that specific contextual interactional features can be collected, especially in strip-shaped field-like roads and farmlands; finally, the spectral and spatial features extracted by the two branches are fused at fully connected layer to obtain an accurate classification. Extensive experiments demonstrated that the proposed method can obtain better classification performance than the state-of-the-art methods.
Small Activating RNAs: Towards the Development of New Therapeutic Agents and Clinical Treatments

Small double-strand RNA (dsRNA) molecules can activate endogenous genes via an RNA-based promoter targeting mechanism. RNA activation (RNAa) is an evolutionarily conserved mechanism present in diverse eukaryotic organisms ranging from nematodes to humans. Small activating RNAs (saRNAs) involved in RNAa have been successfully used to activate gene expression in cultured cells, and thereby this emergent technique might allow us to develop various biotechnological applications, without the need to synthesize hazardous construct systems harboring exogenous DNA sequences. Accordingly, this thematic issue aims to provide insights into how RNAa cellular machinery can be harnessed to activate gene expression leading to a more effective clinical treatment of various diseases.