Miracle-dz/UniFAR-FTUs huggingface dataset:
Providing a control method of BTB-VSC Converters under unbalanced faults

Microgrids need control strategies to achieve maximum performance. An appropriate control strategy should have high performance in unbalanced conditions in addition to normal conditions. Today, the use of microgrids, with a variety of power sources, including solar, wind, diesel, energy storage sources to increase the capability of distribution grid has made significant progress. However, controlling and managing their energy in the event of a fault is a challenge that researchers are faced. In this article, two microgrids connected to the grid are studied using a back-to-back (BTB)-voltage source converters (VSC) converter. The results of this research showed that by the usage of above-mentioned convertor first, with power management between microgrids the frequency remains constant in island mode second, they are isolated from each other in terms of faults. The results showed that the use of the proposed method controlled the frequency of two microgrids simultaneously.
Cosmic super-strings and Kaluza-Klein modes

Cosmic super-strings interact generically with a tower of relatively light and/or strongly coupled Kaluza-Klein (KK) modes associated with the geometry of the internal space. In this paper, we study the production of spin-2 KK particles by cusps on loops of cosmic F- and D-strings. We consider cosmic super-strings localized either at the bottom of a warped throat or in a flat internal space with large volume. The total energy emitted by cusps in KK modes is comparable in both cases, although the number of produced KK modes may differ significantly. We then show that KK emission is constrained by the photo-dissociation of light elements and by observations of the diffuse gamma ray background. We show that this rules out regions of the parameter space of cosmic super-strings that are complementary to the regions that can be probed by current and upcoming gravitational wave experiments. KK modes are also expected to play an important role in the friction-dominated epoch of cosmic super-string evolution.
Dilational Rheology of Fluid/Fluid Interfaces: Foundations and Tools

Fluid/fluid interfaces are ubiquitous in science and technology, and hence, the understanding of their properties presents a paramount importance for developing a broad range of soft interface dominated materials, but also for the elucidation of different problems with biological and medical relevance. However, the highly dynamic character of fluid/fluid interfaces makes shedding light on fundamental features guiding the performance of the interfaces very complicated. Therefore, the study of fluid/fluid interfaces cannot be limited to an equilibrium perspective, as there exists an undeniable necessity to face the study of the deformation and flow of these systems under the application of mechanical stresses, i.e., their interfacial rheology. This is a multidisciplinary challenge that has been evolving fast in recent years, and there is currently available a broad range of experimental and theoretical methodologies providing accurate information of the response of fluid/fluid interfaces under the application of mechanical stresses, mainly dilational and shear. This review focused on providing an updated perspective on the study of the response of fluid/fluid interfaces to dilational stresses; to open up new avenues that enable the exploitation of interfacial dilational rheology and to shed light on different problems in the interest of science and technology.
Bacterial Pulmonary Co-Infections on ICU Admission: Comparison in Patients with SARS-CoV-2 and Influenza Acute Respiratory Failure: A Multicentre Cohort Study

Background: Few data are available on the impact of bacterial pulmonary co-infection (RespCoBact) during COVID-19 (CovRespCoBact). The aim of this study was to compare the prognosis of patients admitted to an ICU for influenza pneumonia and for SARS-CoV-2 pneumonia with and without RespCoBact. Methods: This was a multicentre (n = 11) observational study using the Outcomerea© database. Since 2008, all patients admitted with influenza pneumonia or SARS-CoV-2 pneumonia and discharged before 30 June 2021 were included. Risk factors for day-60 death and for ventilator-associated-pneumonia (VAP) in patients with influenza pneumonia or SARS-CoV-2 pneumonia with or without RespCoBact were determined. Results: Of the 1349 patients included, 157 were admitted for influenza and 1192 for SARS-CoV-2. Compared with the influenza patients, those with SARS-CoV-2 had lower severity scores, were more often under high-flow nasal cannula, were less often under invasive mechanical ventilation, and had less RespCoBact (8.2% for SARS-CoV-2 versus 24.8% for influenza). Day-60 death was significantly higher in patients with SARS-CoV-2 pneumonia with no increased risk of mortality with RespCoBact. Patients with influenza pneumonia and those with SARS-CoV-2 pneumonia had no increased risk of VAP with RespCoBact. Conclusions: SARS-CoV-2 pneumonia was associated with an increased risk of mortality compared with Influenza pneumonia. Bacterial pulmonary co-infections on admission were not associated with patient survival rates nor with an increased risk of VAP.
Disk-outflow Connection and the Molecular Dusty Torus

Toroidal obscuration is a keystone of AGN unification. There is now direct evidence for the torus emission in infrared, and possibly water masers. Here I summarize the torus properties, its possible relation to the immediate molecular environment of the AGN and present some speculations on how it might evolve with the AGN luminosity.
Optimization of random sparse 2-D transducer arrays for 3-D electronic beam steering and focusing

Recent progress reported from different groups have shown that 3-D ultrasonic imaging is possible using electronic beam steering with 2-D matrix arrays having rare and random array patterns. In simulation studies Turnbull et al (1990) have shown that reducing the number of elements of a 2D matrix array down to order 8 keeps resolution and leads still to sufficient contrast. These random arrays are usually obtained by generating a random pattern with the desired numbers of elements. We have investigated main to side lobe levels of random sparse arrays and found substantial differences in side lobe levels in different random patterns containing the same element number. Based on this finding an optimization process has been developed which generates optimized array patterns for a given matrix array and fixed order of reduction using a genetic algorithm. Almost independent from the initial array pattern the optimized pattern is obtained after 400 iteration steps. The function to be minimized is the difference between the radiation pattern of the random array and the fully sampled λ/2 array. The radiation power irradiated outside the main lobe is approximate four times lower compared to the unoptimized array
Prediction and Experimental Validation of Aviation Floating Involute Spline

Based on the research on the wear mechanism of floating involute spline coupling, combined with the traditional Archard wear equation, a wear prediction model of aviation floating involute spline coupling was established. The transient simulation of spline coupling with floating distances of 0 mm, 0.3 mm, and 0.6 mm was carried out using Abaqus, and the accuracy of the theoretical model was verified by analyzing the wear and failure parts of the spline coupling. The analysis results show that there is oxidation wear, adhesive wear, abrasive wear, and other wear forms on the tooth surface of the aviation floating involute spline coupling. Under the influence of the floating distance of the spline coupling, the calculation results are closer to the actual working situations. In addition, with increasing floating distance, the wear depth of the tooth surface increases significantly, and the wear depth becomes larger and larger along the floating end. The above study provides a theoretical basis for designing and maintaining aerospace involute spline couplings.
Barriers to Sustainable Digital Transformation in Micro-, Small-, and Medium-Sized Enterprises

Digital transformation empowers micro-, small-, and medium-sized enterprises (MSMEs) to rethink the way they make decisions and apply technology in meaningful and sustainable ways. The aim of this study is to investigate the main barriers to MSMEs’ sustainable digital transformation, given their global importance and function as the backbone of any economy. We apply the concept of sustainable digital transformation (SDT), which refers to the process of digitalizing the economy in a long-lasting, green, and organic way by building on its key strength: innovative companies and their business ecosystems. The study is based on a representative survey of 425 Latvian MSMEs, which was conducted in the spring of 2021. We combine a survey of MSMEs with a qualitative comparative analysis. Our study identified seven barriers to sustainable digital transformation for MSMEs, which can be classified into three levels of importance. We found that the most important barriers to MSMEs are IT security issues and the shortage of specialists in the external labor market. Furthermore, we discovered that some barriers differ depending on company attributes, such as the number of employees, revenue, and the ability to implement digital transformation independently. However, the barriers were evaluated similarly by company owners and managers. These findings can help MSMEs’ managers and owners, policymakers, and practitioners understand which barriers are impeding MSMEs’ sustainable digital transformation.
Analysis of the Image of Global Glacier Tourism Destinations from the Perspective of Tourists

Glaciers are attracting increasing attention in the context of climate change, and glacier tourism has also become a popular tourist product. However, few studies have been conducted concerning the image of glacier tourism destinations. To address this gap in the literature, in this study, we extracted destination images from 138,709 visitor reviews of 107 glacier tourism destinations on TripAdvisor using latent Dirichlet allocation (LDA) topic modeling, identified destination image characteristics using salience−valence analysis (SVA), and analyzed the differences in glacier tourism destination image characteristics across seasons and regions. According to the findings, the image of a glacier tourism destination consists of 14 dimensions and 53 attributes, with landscapes and specific activities representing the core image and viewing location and necessity representing the unique image. We identified significant seasonal and regional differences in the image of glacier tourism destinations. Finally, we discussed the unique image of glacier tourism destinations, the reasons for differences in the images, and the characteristics of different glacier tourism regions. This research could assist in the scientific management of their core images by glacier tourism destinations, as well as in the rational selection of destinations and travel timing by glacier tourists.
SQUID-Detected MRI in the Limit of Zero Static Field

The magnetic gradient fields used in magnetic resonance imaging (MRI) have a component which is parallel to the uniform field B0 = B0 z , as well as a component perpendicular to B0 . The component parallel to B0 is used in spatial encoding. The component perpendicular to B0 , called the ``concomitant gradient, causes image distortions (by altering the magnitude and direction of the total field) if its magnitude approaches B0 at any point in the field of view (FOV). In a conventional imaging sequence, the presence of the concomitant gradients limits the maximum gradient that can be used with a given B0 field or, conversely, limits the minimum B0 field that can be used with a given gradient field.This thesis describes an implementation of the so-called ``zero-field MRI (ZFMRI) pulse sequence, which allows for imaging in an arbitrarily low B0 field. The ZFMRI sequence created an effective unidirectional gradient field by using a train of p pulses to average out the concomitant gradient components during encoding. The signals were acquired using a low-transition temperature dc Superconducting QUantum Interference Device (low-Tc dc SQUID) coupled to a first-order axial gradiometer. The experiments were carried out in a liquid helium dewar which was magnetically shielded with a single-layer mu-metal can around the outside and a superconducting Pb can contained within the helium space. We increased the filling factor of the custom-made, double-walled Pyrex insert by placing the liquid alcohol sample, at a temperature of approximately -50dC, at the center of one loop of the superconducting gradiometer, which was immersed in the helium bath.Using the aforementioned sequence and apparatus, images were acquired in the limit of zero static field, using gradients of up to 100 mT/m over a 23 mm FOV. The change in field magnitude over the FOV due to gradients was up to 10 times larger than the magnitude of any static field present in the dewar (static fields arose from residual magnetic fields and were 1 mT or less). These images were free of concomitant gradient distortions. Images encoded using aconventional imaging sequence under similar conditions were also acquired; the conventional images were irreparably distorted.The limitations of the present ZFMRI sequence implementation are considered, as well as how the procedure could be made more practical with regard to imaging time. The extension of the technique to unshielded operation in a uniform ambient field is discussed, as are other methods of mitigating or eliminating concomitant gradient distortions.
Comparative Somatic Variant Analysis of a Rare Case with Concurrent Oral Leukoplakia and Oral Submucosal Fibrosis

Oral leukoplakia (OL) and oral submucosal fibrosis (OSMF) are precancerous conditions with common etiologies but with different risks for oral cancer (OC) progression. In rare cases, both conditions occur in the same patient and provide an opportunity for understanding the common and distinctive variants upon exposure of genetically identical normal cells to the same carcinogen(s). We performed exome sequencing of a patient with OL (hyperplasia, but no dysplasia) and OSMF (grade II) in the opposite cheeks using blood DNA as the reference genome. The overall somatic variant burden was higher in OSMF than OL, but opposite in the case of copy number alterations. OL-specific variants were enriched in genes associated with DNA repair, cell division/cell cycle checkpoint pathways, whereas in OSMF, extracellular matrix-receptor interaction was mainly affected. The proportions of variants in cancer driver genes and cancer driver mutations were similar in both cases indicating no difference in the potential risk associated with the two conditions at the stages sampled. Future studies on rare cases similar to the one described in this report will help in understanding the molecular basis of differences associated with OL and OSMF and shared processes accompanying OC progression.
Maximum power point tracking of photovoltaic array using fuzzy logic control

This research introduces the simulation of photovoltaic (PV) array to track the peak point (MPPT) using fuzzy logic control. Therefore, real time simulation is performed in MATLAB/Simulink based on a PV model, boost converter and fuzzy logic-based tracker. A comparative study is carried out against perturb and observe (P&O) controller. The fuzzy logic technique based tracker can successfully track the maximum power point very fast and has precise control when compared to the P&O algorithm. The overall we conclude that the MPPT using the fuzzy logic technique takes a fast response and can improve the performance of the PV system.
The Number of Iterations in Monte Carlo Studies of Robustness.

A recent survey of simulation studies concluded that an overwhelming majority of papers do not report a rationale for the number of iterations carried out in Monte Carlo robustness (MCR) experiments. The survey suggested that researchers might benefit from adopting a hypothesis testing strategy in the planning and reporting of simulation studies. This paper presents a table of the number of iterations necessary to detect departures from a series of nominal Type I error rates based upon hypothesis testing logic. The table is indexed by effect size, by significance level, and by power level for the two-tailed test that a proportion equals some constant. An alternative approach based upon the construction of a confidence interval is discussed and dismissed. The MCR research design demands an adequate definition of robustness and a sufficient sample size to detect departures from that definition. (Author/TJH) monoommommommoommommommommommmommommommommommom Reproductions supplied by EDRS are the best that can be made from the original document. 30000000000800000000000000000000000000000000000000000000000000000000000(
“It really needs to be given to students” digital citizenship understanding amongst student teachers qualitative Nvivo analysis

Although the internet provides benefits, teachers’ role as central figures in the learning process is imperative. Due to misuse and abuse of technology, promoting digital citizenship for student teachers was challenging. Using nine elements of digital citizenship by Mike Ribble, this study explores the knowledge and comprehension of digital citizenship (DC) among twenty student teachers involved in semi-structured interviews, observation, and documentation. The result of thematic analysis with Nvivo 12 Plus indicates that student teachers assume that DC incorporates digital literacy, the standard of behaviors, and moral guidance in an online environment. The study contributes to providing insight regarding appropriate behavior in technology use. Further studies may need to be conducted regarding teacher preparation in managing the integration of digital citizenship into the teacher education.
The Development and Preliminary Application of the Chinese Version of the COVID-19 Vaccine Literacy Scale

(1) Background: Vaccine literacy (VL) of the public is crucial to deal with anti-vaccination rhetoric. This study aims to (1) develop a Chinese COVID-19 Vaccine Literacy Scale and examine the factor structure and psychometric characteristics, and (2) explore the association between COVID-19 VL and sociodemographic characteristics and other variables; (2) Methods: An online cross-sectional survey was conducted among 362 Chinese residents from 23 May 2022 to 31 May 2022 using snowball sampling; (3) Results: Exploratory and confirmatory factor analysis indicated that the scale of 15 items, consisting of three factors, functional, interactive and critical vaccine literacy, explained 63.3% of the total variance. Cronbach’s α coefficient was 0.885 for the overall scale: 0.838, 0.891, and 0.857 for three subscales, respectively. The results showed a medium level of vaccine literacy (M = 3.71, SD = 0.72) and significant differences among functional, interactive, and critical vaccine literacy (p < 0.001). The level of vaccine literacy grew with the level of education (p < 0.001) and age (p = 0.049). Men, participants who were single, or those living in rural areas had a lower level of vaccine literacy; (4) Conclusions: The Chinese COVID-19 VL Scale has adequate validity and reliability for assessing vaccine literacy among Chinese residents. A deep understanding of the factors that affect vaccine literacy is needed.
Assessment of Antibiotic Resistance and Efflux Pump Gene Expression in Neisseria Gonorrhoeae Isolates from South Africa by Quantitative Real-Time PCR and Regression Analysis

Introduction Treatment of gonorrhoea infection is limited by the increasing prevalence of multidrug-resistant strains. Cost-effective molecular diagnostic tests can guide effective antimicrobial stewardship. The aim of this study was to correlate mRNA expression levels in Neisseria gonorrhoeae antibiotic target genes and efflux pump genes to antibiotic resistance in our population. Methods This study investigated the expression profile of antibiotic resistance-associated genes (penA, ponA, pilQ, mtrR, mtrA, mtrF, gyrA, parC, parE, rpsJ, 16S rRNA, and 23S rRNA) and efflux pump genes (macAB, norM, and mtrCDE), by quantitative real-time PCR, in clinical isolates from KwaZulu-Natal, South Africa. Whole-genome sequencing was used to determine the presence or absence of mutations. Results N. gonorrhoeae isolates, from female and male patients presenting for care at clinics in KwaZulu-Natal, South Africa, were analysed. As determined by binomial regression and ROC analysis, the most significant (p ≤ 0.05) markers for resistance prediction in this population, and their cutoff values, were determined to be mtrC (p = 0.024; cutoff <0.089), gyrA (p = 0.027; cutoff <0.0518), parE (p = 0.036; cutoff <0.0033), rpsJ (p = 0.047; cutoff <0.0012), and 23S rRNA (p = 0.042; cutoff >7.754). Conclusion Antimicrobial stewardship includes exploring options to conserve currently available drugs for gonorrhoea treatment. There is the potential to predict an isolate as either susceptible or nonsusceptible based on the mRNA expression level of specific candidate markers, to inform patient management. This real-time qPCR approach, with few targets, can be further investigated for use as a potentially cost-effective diagnostic tool to detect resistance.
MiR-134-5p/Stat3 Axis Modulates Proliferation and Migration of MSCs Co-Cultured with Glioma C6 Cells by Regulating Pvt1 Expression

Mesenchymal stem cells (MSCs) are critical in regenerating tissues because they can differentiate into various tissue cells. MSCs interact closely with cells in the tissue microenvironment during the repair of damaged tissue. Although regarded as non-healing wounds, tumors can be treated by MSCs, which showed satisfactory treatment outcomes in previous reports. However, it is largely unknown whether the biological behaviors of MSCs would be affected by the tumor microenvironment. Exploring the truth of tumor microenvironmental cues driving MSCs tumor “wound” regeneration would provide a deeper understanding of the biological behavior of MSCs. Therefore, we mimicked the tumor microenvironment using co-cultured glioma C6 cells and rat MSCs, aiming to assess the proliferation and migration of MSCs and the associated effects of Stat3 in this process. The results showed that co-cultured MSCs significantly exhibited enhanced tumorigenic, migratory, and proliferative abilities. Both up-regulation of Stat3 and down-regulation of miR-134-5p were detected in co-cultured MSCs. Furthermore, miR-134-5p directly regulated Stat3 by binding to the sequence complementary to microRNA response elements in the 3′-UTR of its mRNA. Functional studies showed that both the migration and proliferation abilities of co-cultured MSCs were inhibited by miR-134-5p, whereas Stat3 gain-of-function treatment reversed these effects. In addition, Pvt1 was confirmed to be regulated by miR-134-5p through Stat3 and the suppression of Pvt1 reduced the migration and proliferation abilities of co-cultured MSCs. To sum up, these results demonstrate a suppressive role of miR-134-5p in tumor-environment-driven malignant transformation of rat MSCs through directly targeting Stat3, highlighting a crucial role of loss-of-function of miR-134-5p/Stat3 axis in the malignant transformation, providing a reference to the potential clinic use of MSCs.