Miracle-dz/UniFAR-FTUs huggingface dataset:
A Soft-Switching Current-Source-Inverter-Fed Motor Drive With Reduced Common-Mode Voltage

This article proposes a common-mode voltage (CMV) attenuation method for the three-phase current source inverter (CSI)-fed permanent-magnet synchronous machine drive. The key of this method is to introduce an auxiliary circuit branch connected in parallel with the dc link. Based on the dedicated switching strategy, the zero-voltage-switching conditions are provided for the main switches in the CSI. In particular, the zero current vector is newly constructed without utilizing shoot-through operation in the CSI. Thus, the CMV in the traditional CSI drives is attenuated significantly. Compared with the existing research on CMV suppression, the proposed method will not compromise the modulation index range or increase output current harmonics. Meanwhile, the overshoot voltage can be clamped by the auxiliary power circuit in the dc link under open-circuit fault in the power switches. The system configuration, operating principle, analysis of operation modes, as well as the control scheme are described in detail. Both simulation and experimental results are presented to verify the performance of the proposed method.
Design of a Bi-Harmonic 7-Phase PM Machine With Tooth-Concentrated Winding

If multi-phase machines equipped with tooth-concentrated winding with half a slot per pole and per phase offer interesting characteristics (simplified manufacturing, no space subharmonic, fault-tolerant ability), their low fundamental winding factors make their designs and controls challenging. The paper addresses the case of a seven-phase Surface-mounted Permanent Magnet (SPM) machine which has a fundamental winding factor lower than the third. This so-called bi-harmonic specificity is considered in order to achieve good torque quality (average value and ripples). Regarding the design, the magnet layer is segmented into two identical radially magnetized tiles that cover about three-quarters the pole arc. Regarding the control, the rated Maximum Torque Per Ampere (MTPA) supply strategy (h1h3 control) aims at generating a third harmonic current component greater than the fundamental. A prototype has been manufactured: the ability of the machine to provide smooth torque is experimentally confirmed through the implementation of a simple MTPA control which copes with high distortion in no-load voltage.
Using queuing theory to describe adaptive mathematical models of computing systems with resource virtualization and its verification using a virtual server with a configuration similar to the configuration of a given model

The article describes the issues of preparation and verification of mathematical models of computing systems with resource virtualization. The object of this study is to verify of mathematical models of computer systems with virtualization experimentally by creating a virtual server on the host platform and monitoring its characteristics under load. Known models cannot be applied to the aircraft with virtualization, because they do not allow a comprehensive analysis to determine the most effective option for the implementation of the initial allocation of resources and its optimization for a specific sphere and task of use. The article for the study used a closed queueing network. Simple models for the analysis of various structures of computer systems are experimentally obtained. To implement the properties of adaptability in the models, triggers are used that monitor and adjust the power of the processing channel in individual Queuing systems, depending on the specified conditions. Experiments prove the obtained results reliable and usable as a flexible tool for studying the virtualization properties when structuring computing systems. This knowledge could be of use for businesses interested in optimizing the server configuration for their IT infrastructure.
The Fisher–Rao Distance between Multivariate Normal Distributions: Special Cases, Bounds and Applications

The Fisher–Rao distance is a measure of dissimilarity between probability distributions, which, under certain regularity conditions of the statistical model, is up to a scaling factor the unique Riemannian metric invariant under Markov morphisms. It is related to the Shannon entropy and has been used to enlarge the perspective of analysis in a wide variety of domains such as image processing, radar systems, and morphological classification. Here, we approach this metric considered in the statistical model of normal multivariate probability distributions, for which there is not an explicit expression in general, by gathering known results (closed forms for submanifolds and bounds) and derive expressions for the distance between distributions with the same covariance matrix and between distributions with mirrored covariance matrices. An application of the Fisher–Rao distance to the simplification of Gaussian mixtures using the hierarchical clustering algorithm is also presented.
On the relationship between cloud water composition and cloud droplet number concentration

Aerosol-cloud interactions are the largest source of uncertainty in quantifying anthropogenic radiative forcing. The large uncertainty is, in part, due to the difficulty of predicting cloud microphysical parameters, such as the cloud droplet number concentration (Nd). Even though rigorous first-principle approaches exist to calculate Nd, the cloud and aerosol research community also relies on empirical approaches such as relating Nd to aerosol mass concentration. Here we analyze relationships between Nd and cloud water chemical composition, in addition to the effect of environmental factors on the degree of the relationships. Warm, marine, stratocumulus clouds off the California coast were sampled throughout four summer campaigns between 2011 and 2016. A total of 385 cloud water samples were collected and analyzed for 80 chemical species. Single- and multispecies log-log linear regressions were performed to predict Nd using chemical composition. Single-species regressions reveal that the species that best predicts Nd is total sulfate (Radj2=0.40). Multispecies regressions reveal that adding more species does not necessarily produce a better model, as six or more species yield regressions that are statistically insignificant. A commonality among the multispecies regressions that produce the highest correlation with Nd was that most included sulfate (either total or non-sea-salt), an ocean emissions tracer (such as sodium), and an organic tracer (such as oxalate). Binning the data according to turbulence, smoke influence, and in-cloud height allowed for examination of the effect of these environmental factors on the composition-Nd correlation. Accounting for turbulence, quantified as the standard deviation of vertical wind speed, showed that the correlation between Nd with both total sulfate and sodium increased at higher turbulence conditions, consistent with turbulence promoting the mixing between ocean surface and cloud base. Considering the influence of smoke significantly improved the correlation with Nd for two biomass burning tracer species in the study region, specifically oxalate and iron. When binning by in-cloud height, non-sea-salt sulfate and sodium correlated best with Nd at cloud top, whereas iron and oxalate correlated best with Nd at cloud base.
Isolation and Mass Production of Entomopathogenic Nematode Steinernema saimkayai using Semi Solid Dog Feed Medium

Entomopathogenic nematodes (EPNs) were collected from soil using Galleria mellonella as bait and propagated on Wouts medium as well as new semi-solid feed developed from dog feed. The EPN was isolated from the cucumber soil from Kadayar, Thadiyoor, Kerala for the Mass production. The strains collected were identified as Steinernema siamkayai KUT1 and the symbiont bacteria identified as Xenorhabdus stockiae using advanced DNA sequencing method. Nematodes were grown on two different sets of medium viz., Wouts medium on sponge and Semi-solid dog feed in T-flasks. The Steinernema siamkayai KUT1 grown increasingly in semi-solid dog feed medium than other medium. This research suggests that EPN can be used to for the inhibition of malarial parasites in open stagnant water bodies. Breeding grounds for this species could be controlled efficiently using EPNs. Our research concludes the use of newly modified semi solid Dog feed medium containing essential nutrients can be safe and cheap enough for the mass production of EPN.
Cistitis hemorrágica por infección viral en receptores de trasplante hematopoyético haploidéntico: reporte de dos casos

Introduccion : las infecciones por virus o la reactivacion de virus en estado latente son frecuentes durante el estado de inmunosupresion que sigue al trasplante de progenitores hematopoyeticos, siendo una causa importante de complicaciones, como la cistitis hemorragica, que se caracteriza por disuria, polaquiuria, dolor abdominal, y hematuria. El comienzo precoz se asocia a los metabolitos de la ciclofosfamida u otros quimioterapicos y el tardio a la primoinfeccion o reactivacion de virus como el citomegalovirus, los adenovirus o los poliomavirus como el BK y el JC. El trasplante haploidentico con la administracion de ciclofosfamida postrasplante incrementa la posibilidad de donantes de progenitores hematopoyeticos para los pacientes sin un hermano HLA identico pero el mayor nivel de inmunosupresion podria aumentar la incidencia de cistitis hemorragica. Objetivos: describir las caracteristicas clinicas, los medios diagnosticos, los factores de riesgo y el manejo de la cistitis hemorragica postrasplante. Presentacion del caso: Se presentan dos pacientes que desarrollaron cistitis hemorragica asociada a infeccion viral despues del trasplante haploidentico con ciclofosfamida postrasplante. Conclusiones: la cistitis hemorragica de causa viral despues del trasplante hematopoyetico esta asociada a la profunda inmunosupresion y es una complicacion potencialmente letal.
Association between D-Dimer Levels and the Prognosis of Terminal Cancer Patients in the Last Hours of Life

Purpose D-dimer levels are known to be associated with poor outcomes in patients with various cancers, but their significance at the end of life remains unclear. This study investigated D-dimer levels as a prognostic indicator for terminal cancer patients in the last hours of life. Methods The retrospective study was conducted at a palliative care unit of a tertiary cancer center, using a database to analyze the records of patients treated from January 1, 2010 to December 31, 2018. In total, 67 terminal cancer patients with available data on D-dimer levels were included. Patients’ demographic data, clinical information, and laboratory values, including D-dimer levels, were collected. Survival was analyzed using the Kaplan–Meier method and the log-rank test. A Cox proportional-hazards model was used to identify prognostic factors of poor survival. Results The most common site of cancer was the lung (32.8%) and the median survival time was 5 days. Most laboratory results, particularly D-dimer levels, deviated from the normal range. Patients with high D-dimer levels had a significantly shorter survival time than those with low D-dimer levels (4 days vs. 7 days; P=0.012). In the Cox regression analysis, only a high D-dimer level was identified as a predictor of a poor prognosis (hazard ratio, 1.83; 95% confidence interval, 1.09~3.07). Conclusion Our results suggest that at the very end of life, D-dimer levels may serve as a prognostic factor for survival in cancer patients.
How Can Small International Accounting Firms Improve Audit Quality? The Role of Accounting Associations and Networks

Commonly examined attributes of audit quality in international markets include accounting firm size (proxied for by Big 4 membership) and industry expertise, which is highly correlated with accounting firm size. In this study, we focus on an important but often overlooked sector of the international audit market: non-Big 4 accounting firms. Specifically, we examine whether membership in an international accounting association or network (AAN) allows these firms to provide higher audit quality. Using a difference-in-differences research design and data from 24 countries, we find that audit quality improves after small international accounting firms join an AAN. We also find that AAN audit quality is not significantly different from Big 4 audit quality when audit clients are similarly sized. These findings have important implications for accounting firms, audit committees, regulators, and investors in international markets.
Correlates of self-paced classes engagement policy & course contents’ views by learners at HBMSU, United Arab Emirates

ABSTRACT One of the core challenges in self-paced online teaching and learning is a decline in learner engagement – the amount, type, and intensity of investments that students make in relation to accessing, reading and learning from materials posted by facilitators during self-paced learning sessions. At Hamdan Bin Mohammed Smart University (HBMSU), Dubai, United Arab Emirates, a policy of mandating assessment of engagement with self-paced classes was trialled between 2016 and 2017, with penalties ranging from loss of 0.5 mark per class to dismissal from courses for four failed self-paced assignment assessments. The policy led to significant access to course materials by learners taking two analysed health courses compared with engagement with self-paced classes in the same courses prior to introduction of the policy. Only 10 of 57 students accessed all posted learning materials during the review period. However, there was no significant difference in the performance by a minority of learners who consistently accessed all study materials in self-paced weeks compared with learners who selectively accessed some of the course materials during self-paced weeks. A survey of the minority group of 10 learners who accessed all learning materials revealed important insights on the facilitators and impediments to self-study for engaged learning.
Supporting Drivers of Partially Automated Cars through an Adaptive Digital In-Car Tutor

Drivers struggle to understand how, and when, to safely use their cars’ complex automated functions. Training is necessary but costly and time consuming. A Digital In-Car Tutor (DIT) is proposed to support drivers in learning about, and trying out, their car automation during regular drives. During this driving simulator study, we investigated the effects of a DIT prototype on appropriate automation use and take-over quality. The study had three sessions, each containing multiple driving scenarios. Participants needed to use the automation when they thought that it was safe, and turn it off if it was not. The control group read an information brochure before driving, while the experiment group received the DIT during the first driving session. DIT users showed more correct automation use and a better take-over quality during the first driving session. The DIT especially reduced inappropriate reliance behaviour throughout all sessions. Users of the DIT did show some under-trust during the last driving session. Overall, the concept of a DIT shows potential as a low-cost and time-saving solution for safe guided learning in partially automated cars.
Airport Passenger Throughput Forecast Based on PSO-SVR Model

Accurate prediction of airport passenger throughput can provide a scientific basis for airport construction, aircraft procurement, and route planning. Based on the characteristics of airport passenger throughput, the support vector regression machine prediction model based on particle swarm optimization (PSO-SVR) is proposed. First, the conditional attributes and decision attributes are selected in the historical data of airport passenger throughput. Secondly, the particle swarm optimization algorithm is embedded to optimize the kernel function parameters and penalty factors. Finally, the support vector regression machine is used to predict the airport passenger throughput in the next year. Beijing Capital, Shanghai Pudong, Guangzhou Baiyun and Chengdu Shuangliu were selected as examples to verify the validity of the model. And compared with the moving average method, exponential smoothing method, ARIMA precision. The results show that the PSO-SVR model improves the prediction accuracy, and the average absolute percentage errors for the four airport throughput forecasts are 3.21%, 4.37%, 2.38, and 4.43%, respectively.
GENDER AND SECONDARY SCHOOL STUDENTS’ LEVEL OF AWARENESS OF FAMILY LIFE EDUCATION (FLE) IN RIVERS STATE, NIGERIA

This study investigated the influence of gender on secondary school students’ level of awareness about Family Life Education (FLE) in Rivers State Nigeria. The analytic survey design was adopted. Two research questions guided the study. Two null hypotheses were tested at 0.05 level of significance. The population of the study was comprised of 105,815 Junior Secondary School students in Rivers State. A sample of 1,630 respondents was drawn using simple random sampling and stratified random sampling techniques. A structured questionnaire and Academic Performance Test (APT) were used for data collection. Data were analysed using percentage, mean and z-test statistics. Findings of the study revealed that there is a significant difference between the type of information given to the male and the female secondary school students in Rivers State. Furthermore, it was shown that the female students have high level of awareness about Family Life Education while the male students’ level of awareness is low. Based on these findings, it was recommended that, Principals extend their supervisory functions to the effective, inclusive teaching and learning of FLE in secondary schools in Rivers State. The Rivers State Ministry of Education should ensure that the integrative approach to the teaching of FLE in Rivers State is replaced with the subject-based approach. Article visualizations:
Alimentary tract proteinases of the Southern corn rootworm (Diabrotica undecimpunctata howardi) and the potential of potato Kunitz proteinase inhibitors for larval control

Proteolytic digestion by larval Diabrotica undecimpunctata howardi (Barber) (D.undecimpunctata) has been investigated with the aim of producing transgenic plants possessing enhanced resistance to this economically important crop pest. Biochemical characterisation in vitro by pH dependent hydrolysis and inhibition assays incorporating E-64, pepstatin A and soybean Kunitz trypsin inhibitor showed the majority of hydrolytic activity occurs at pH 5.5 and is performed by cysteine and aspartic endopeptidases. Cysteine and aspartic proteinase encoding clones were isolated from a larval alimentary tract cDNA library. Four cathepsin L-like cysteine proteinases and two cathepsin D-like aspartic proteinase cDNA clones were identified by codmg homology to known proteinase sequences. Analysis of primary and secondary sequence features revealed D. undecimpunctata aspartic proteinase 1 exhibits features associated with cathepsins E and is proposed to be a D. undecimpunctata cathepsm E-like aspartic proteinase.Cathepsin D-like aspartic proteinase inhibitors of the potato Kunitz protemase inhibitor (PKPI) family have been isolated by PCR and expressed employing the pET expression system (Novagen). In vitro assays demonstrated the inhibitory activity of PKPI-A and PKPl-B inhibitors against larval D. undecimpunctata alimentary tract proteolytic enzymes. To the authors knowledge this work represents the first reporting of the expression and purification of biologically active PKPI proteins. In vitro assays incorporating oryzacystatin I and PKPI proteins resulted in increased inhibition of proteolytic activity compared to single inhibitor and uninhibited control reactions. Inhibition assays provide evidence for the potential of a dual protemase inhibitor strategy to arrest protein hydrolysis by larval D. undecimpunctata, preventing essential amino acid absorption. Further research is necessary to characterise the properties of the digestive enzymes isolated in this work and the inhibitory spectrum of PKPI proteins. Transgenic crops expressing a combination of oryzacystatin and PKPI proteins would be predicted to show enhanced resistance to insect herbivores by virtue of digestive proteolysis inhibition.
SERVICE QUALITY IN CORPORATE HEALTHCARE SECTOR: AN EMPIRICAL STUDY IN TAMILNADU

The purpose of this study is to identify the gap between patients’ expected and perceived service with respect to corporate healthcare sector, Tamilnadu. In order to identify the gap, Gap 5model was chosen for the study based on five service quality dimensions namely tangibility, reliability, responsiveness, assurance and empathy(Parasuraman, et.al. 1985). The research design was empirical in nature. The study collected the data both from primary and secondary sources. Primary data was collected using structured interview schedule method consisting of open and closed ended questions. Books, magazines, journals, thesis and websites were referred to collect data from secondary sources. Convenient sampling technique was used to collect data from 100 patients of top seven multi-specialty hospitals of Tamilnadu. Analyses such as paired sample T test and Friedman test were applied. Based on the findings, it is found that there exists a gap between the expected and perceived service of patients with respectto corporate healthcare sector. Therefore, the study concluded that the patients were moderately satisfied with the service quality of corporate healthcare sector.
Real-World Driving Cycles Adaptability of Electric Vehicles

Electric vehicles (EVs) include battery electric vehicles (BEVs), fuel-cell vehicles (FCVs) and fuel-cell hybrid electric vehicles (FCHEVs). The performance of vehicles is usually evaluated using standardized driving cycle tests; however, the results from standardized driving cycle tests deviate from the real-world driving cycle. In order to test the adaptability of EVs to real-world driving cycles, conditions of three typical routes in Tianjin are collected and their characteristics analyzed; then BEV and FCV models are created based on a type of FCHEV to simulate 0–100 km/h acceleration and cruising performance under a real-world driving cycle; finally, a motor bench is used to test the performance of FCHEV under the NEDC (New European Driving Cycle). After the adaptability of the three models to real-world driving cycle is compared based on the simulation and test results, it is found that FCHEV can recycle braking energy and has quick dynamic response, which can be well adapted to the real-world driving cycle.
Synthesis of antibacterial flower‐like silver nanostructures by self‐assembly of diphenylalanine peptide on graphite

Preparation of silver nanoflowers (Ag NFs) was carried out through the self-assembly process of diphenylalanine (FF) peptide on the graphite surface. Pencil graphite rods were used as a substrate for the self-assembly process. A reduction reaction by hydrazine was employed in the synthesis procedure of the Ag NFs. scanning electron microscope, Fourier transform infrared spectroscopy (FT-IR) spectroscopy and X-ray diffraction (XRD) were employed to characterise the obtained Ag NFs. The morphological analysis of the Ag NFs revealed assemblies constructed by multiple sheet nanostructures designed as flower petals and positioned in the form of 3D semi-spherical arrangements. The successful synthesis of Ag NFs was confirmed by FT-IR characteristic bands of FF and Ag components. The cubic lattice structure of the Ag NFs was revealed by XRD. Standard Kirby–Bauer disk diffusion tests using Gram-positive and Gram-negative bacterial strains exhibited the promising antibacterial performance of the Ag NFs against all of the tested bacterial species.