Miracle-dz/UniFAR-FTUs huggingface dataset:
Coupled Magnetic-Based Integrated Isolated Onboard Battery Charger and Boost Motor Drive Unit for Electric Vehicles

This article discusses a power converter that integrates a boost motor drive and an onboard battery charger into one module unit for a drive system less than 30 kW. The proposed circuit uses a coupled magnetic-based device (CMD) in the boost converter (BC), which can switch between a boost inductor and an isolated transformer, with respect to the boost motor drive and ac charging operation. In order to achieve high power density and high efficiency, a newly four-leg CMD is proposed. Comparing to the three-leg CMD, the power density is increased by 12%, and the efficiency can be increased by 1.5%. As a result, the drive efficiency can be improved by 2.5% comparing to a standard nonboost motor drive. The details of the proposed circuit structure and the CMD configuration are discussed in this article. An A4-size prototype that used GaN-FETs was built to show the validity of the proposed circuit. Experimental results show well agreement with the calculated and simulation results, where a 5-kW boost motor drive with 48 V and a 3-kW AC100V charging were achieved in the built prototype. The motor drive efficiency is 96% at 3 kW with direct drive and 94.8% at 5 kW with boost drive, and the AC100V charging achieved 90% efficiency at 3 kW.
Pregnancy-associated microangiopathy: From the diagnostic to the treatment of atypical hemolytic-uremic syndrome (aHUS)

A 31 years woman underwent an emergency cesarean section at 31 weeks 5 days due to uncontrolled high blood pressure in a pre-eclampsia setting. During the immediate post-partum period, the patient developed thrombotic microangiopathy (TMA) expressedby acute renal failure. The challenge was to diagnose quickly the atypical hemolytic uremic syndrome (aHUS), taking into consideration the severity of renal damage and lack of post-cesarean renal recovery in a pre-eclampsia setting. The aHUS combines several features comprising mechanical hemolytic anemia, thrombocytopenia, and acute renal failure. This clinical condition is accounted for by an either acquired or constitutional dysregulation of the alternative pathway of the complement system. This article reviews the literature concerning pregnancy- and postpartum-related HUS, with particular attention given to differential diagnosis, clinical presentation, promoting factors, associated genetic abnormalities, clinical evolution, as well as treatment of the condition. In a pregnant or post-partum patient afflicted by TMA, It is essential to diagnose HUS. As a matter of fact, initiating a specific treatment with eculizumab, a monoclonal antibody, is a promising treatment that may revolutionize the renal prognosis. secondary thrombotic microangiopathy (TMA) forms - Atypical hemolytic-uremic syndrome (aHUS) is a serious medical condition with poor renal prognosis What does this article bring up for us? -The publication authors report the differential diagnosis of TMA in the pregnancy setting. In addition, a recent synthesis of HUS classification is proposed -This article highlights the key elements pertaining to HUS diagnosis, possibly enabling a faster treatment with monoclonal antibodies like eculizumab
A Criterion and Stochastic Unit Commitment towards Frequency Resilience of Power Systems

High-capacity long-distance transmission lines, such as high-voltage direct-current (HVDC) lines, are vulnerable to extreme weather. Their failures may cause significant power loss and frequency drop in the receiving-end power systems, which should be considered in the power system scheduling. In this paper, the failure rates of transmission lines subject to extreme weather conditions are firstly modeled to obtain the probability of failure events. Then, a novel criterion defined by the integration of abnormal frequency during the primary and secondary frequency regulation process is proposed to measure frequency security. This criterion is capable to reflect the cumulative frequency deviation effect and distinguish the contributions of different frequency regulation reserve providers, e.g., generators and flexible loads. Moreover, the linearity of the criterion makes it easy to be incorporated into optimization problems. Finally, a two-stage stochastic frequency constrained unit commitment (FCUC) model is developed to optimally schedule generators and flexible loads while satisfying the frequency security constraints under transmission line failure events. The proposed FCUC model is efficiently solved by a regularized L-shape algorithm. The proposed model and techniques are validated based on the modified IEEE 118 and 300 bus systems with realistic meteorological data.
Invitational Rhetoric in Epistemic Practice

Over the last several decades there have been rapid advancements in treatment options available for infertility. Consequently, infertility has become a medicalized disease, which privileges a masculine epistemology. Problematically, this masculinist perception of infertility diminishes concern for the lived experiences of women living with infertility and ignores the many ways in which infertility manifests as a social condition. This study examines narratives of women diagnosed with infertility, gathered from online support groups. Through these narratives I introduces the concept of “invitational knowledge” as a means to understand how knowledge functions rhetorically to create space for discourses that deviate from the medicalized assumptions of infertility. Invitational knowledge highlights the epistemological roots of invitational rhetoric through adoption of a postmodern feminist epistemology and is characterized by five features: 1) rhetor agency; 2) emotional knowledge; 3) transformative discourse; 4) shared knowledge; and 5) asking questions rather than making judgments.
Detection of seepages and monitoring of structural changes in earthen embankments by FO DTS

The aim of this paper is to describe an innovation in the monitoring of performance of earth embankments, namely the use of sensing systems for full-time monitoring of ash pond and irrigation pond seepages. In the past decades, due to IT development and cost reduction, the sensor technology segment and associated measurement and monitoring systems have started to expand rapidly. One of the areas of sensor technology suitable for real-time monitoring of earthen embankments is that of fibre optic distributed temperature sensors (FO DTS). This paper deals with the results of pilot measurements performed within the E! 11705 FORMTES project in 2018 – 2020, as related to the analysis of the existing FO DTS system installed in the irrigation pond in Spain, and on the new implementation of the FO DTS system in part of the embankment of the ash pond in Hungary, and the use of FO DTS systems for monitoring of potential seepage in above mentioned embankment structures. The evaluated pilot tests together with the desk review were used for the validation and enhancement of the novel methodology to enable its real-life implementation both for the existing embankment structures and the development of detailed designs of new structures of similar nature.
Structural and Biochemical Investigation of the Yersinia enterocolitica Type III Secretion Export Apparatus

The enteric pathogen Y. enterocolitica uses a injection machinery called type III secretion system (T3SS) to translocate effector proteins across eukaryotic cell membranes. The supramolecular structure of the T3SS is evolutionarily related to the bacterial flagellum. The protein export itself is managed by the export apparatus, which is assembled by five membrane proteins YscR/S/T/U/V. Two of the proteins, YscU and YscV, consist of large cytoplasmic domains that are necessary for the export process. YscU plays an important role during assembly of the outer components, as its cytoplasmic domain (YscUc) recognizes translocators as individual substrates. Activation of YscU entails autocleavage at the amino acid sequence NPTH. Modification of this motif changes the properties of YscU including termination of translocator export and production of longer injectisome needles. The crystal structures of two uncleaved variants are determined by X-ray crystallography. NMR analysis of cleaved and uncleaved YscUc indicates that the global structure of the protein is retained in cleaved YscUc. The structures of uncleaved YscUc reveal that YscUc is poised for cleavage due to an optimal reaction geometry. In vivo analysis of YscU variants showed a new phenotype that combines the absence of translocator secretion with normal needle-length control. Comparison of YscU to homologue proteins reveals a common fold for the autocleavage domain and new structural information for the linker region. It has been proposed that the cytoplasmic domain of YscV (YscVc) and YscUc together form a platform for docking the ATPase-substrate complex. A purification scheme is established yielding pure and sufficient amounts of protein. Limited proteolysis indicated that YscVc consists of a linker region and a globular cytoplasmic domain. Although YscVc crystallizes in various conditions, X-ray analysis is not successful due to poor crystal quality.
Formation of plasmonic silver nanoparticles using rapid thermal annealing at low temperature and study in reflectance reduction of Si surface

This work presents studies of plasmonic silver nanoparticles (AgNPs) formation at low temperatures (200 °C–300 °C) onto Si surface by sputtering followed with rapid thermal processing (RTP) for different time durations(5–30 min). The study reveals that 20 min RTP at all temperatures show minimum average size of AgNPs (60.42 nm) with corresponding reduction in reflectance of Si surface from 40.12% to mere 1.15% only in wavelength region 300–800 nm for RTP at 200 °C. A detailed supporting growth mechanism is also discussed. This low temperature technique can be helpful in achieving efficiency improvement in solar cells via reflectance reduction with additional features such as reproducibility, minimal time and very good adhesion without damaging underlying layers device parameters.
The Prevalence of Market Segmentation Research in the Tourism Industry in Africa

Despite the benefits that market segmentation could provide to marketers, it is uncertain to what extend market segmentation research informs decisions about marketing strategy in the tourism industry in Africa. The purpose of this paper is to appraise the incidence of market segmentation research in this context. Market segmentation is used to demarcate a broad market into smaller segments to enable the formulation of marketing strategies based on segment needs. A review of journal articles with market segmentation in the tourism industry in the African context as focus area is provided. While research in this context is available, recommendations are made about possible market segmentation research focus areas in the tourism industry in an African context.
Analysis of Extractive Industry Concentration in Russia as a Factor Hindering the Sustainable Development of the Regions

Modern economic growth is viewed through the prism of the paradigm of sustainable development. This work presents the reasons for the difficulties of transition to the sustainable development of an economy with a high share of extractive industry and shows that for the effective implementation of the Sustainable Development Goals it is necessary to change the economic model for reducing the role of this industry. The analysis of the extractive industry contribution to the gross regional product of Russia’s regions is carried out. The work considers changes in the extractive industry share, both in the country’s economy as a whole and in some of its regions. It is shown that, despite the decrease in this indicator value in most of Russia’s large regions, in general, the extractive industry share in GRP has increased. The dynamics in the level of the extractive industry concentration in regions is analyzed using the Herfindahl-Hirschman Index and the Krugman Index.
Artificial Intelligence and Industrial Innovation: Evidence From Firm-Level Data

Artificial Intelligence (AI) represents a set of techniques that enable new ways of innovation and allows firms to offer new features of products and services, to improve production, marketing and administration processes, and to introduce new business models. This paper analyses the extent to which the use of AI contributes to the innovation performance of firms. Based on firm-level data from the German part of the Community Innovation Survey (CIS) 2018, we examine the contribution of different AI methods and applications to product and process innovation outcomes. The representative nature of the survey allows extrapolating the findings to the macroeconomic level. The results show that 5.8% of firms in Germany were actively using AI in their business operations or products and services in 2019. The use of AI generated additional sales with world-first product innovations in these firms of about €16 billion, which corresponds to 18% of total sales of world-first innovations in the German business sector. Firms that developed AI by combining in-house and external resources obtained significantly higher innovation results. The same is true for firms that apply AI in a broad way and have already several years of experience in using AI.
A Robust Linear Regression Feature Selection Method for Data Sets With Unknown Noise

The linear regression model is simple in form and easy to estimate; nevertheless, irrelevant features will raise the difficulty of its tasks. Feature selection is generally adopted to improve the model performance. Unfortunately, traditional regression feature selection methods may not work for data with noise or outliers. Although some robust methods for certain specific error distributions have been proposed, they may not perform well because the distribution of representation error is often unknown for real data. This paper proposes a regression feature selection method for unknown noise named Mixture of Gaussians LASSO (MoG-LASSO), in which feature selection and model training will be achieved simultaneously. MoG is adopted to model unknown noises, and M-estimation is used to acquire the weighted squared error loss. By alternatively and iteratively updating the regression coefficient and parameters of MoG, the influence of unknown noise can be reduced effectively. Furthermore, MoG-LASSO achieves feature selection by the <inline-formula><tex-math notation="LaTeX">$L_{1}$</tex-math><alternatives><mml:math><mml:msub><mml:mi>L</mml:mi><mml:mn>1</mml:mn></mml:msub></mml:math><inline-graphic xlink:href="wang-ieq1-3076891.gif"/></alternatives></inline-formula> regularization term, which can further improve the performance of the model. Experimental results on artificial data and benchmark data sets demonstrate that MoG-LASSO has better robustness and sparsity for data sets with irrelevant features. Additionally, experimental results on face recognition databases show the performance advantage of MoG-LASSO over state-of-the-art methods in the presence of illumination variations.
Bioassay and Molecular Screening of Nitrate Reductase Enzymes in halophilic bacteria

With the increased usage of nitrate fertilizers, as it is a stable ion with high solubility in water, its removal is a challenge for human health. Several physicochemical methods have been examined for nitrate removal of water, but nowadays the biological treatment of it from soil and water are widely used because of its high efficiency and low cost. To remove nitrogen from such environments, we studied nitrate reducing halophilic and halotolerant bacteria. A total of 50 strains of halophilic and halotolerant bacteria from different saline and hypersaline environments of Iran, including Incheboron wetland, Aran-Bidgol Lake and Urmia Lake, were screened for nitrate reductase production. Among isolated bacteria, 60% of strains isolated from Urmia Lake and 19% of strains isolated from Incheboron wetland produced nitrate reductase. Nitrate reductase coding genes narG and napA were analyzed for all the nitrate reducing strains. The napA gene was amplified successfully from a gram negative halophilic strain and narG gene was detected in ten halophilic strains. Among nitrate reducing isolates, Kocuria rosea strain R3A34 which has narG gene showed the most nitrate reductase production. The strain R3A34 was selected for optimization of denitrifying activity. Statistical results have shown that the optimum conditions for the production of nitrate reductase were 32 °C, pH 7.0, NaCl 8 % (w/v) and mannitol as carbon source. Furthermore, as these conditions are common in wastewaters, this bacterium can be a proper candidate for bioremediation of wastewaters from nitrate pollutants.
Metal to Halide Perovskite (HaP): An Alternative Route to HaP Coating, Directly from Pb(0) or Sn(0) Films

Halide perovskite film-based devices (e.g., solar cells and LEDs) have shown unique device performance. These films are commonly prepared from toxic solutions of metal salts (e.g., Pb2+ in DMF or DMSO). We describe a method to form halide perovskite films by simply reacting metal (Pb or Sn) films with alcoholic solutions of monovalent alkali metal or alkyl ammonium halides, which avoids the use of toxic Pb2+ solutions in the manufacturing step. We show how the morphology of the films can be controlled by variation in reaction parameters and also how mixed halide perovskite films can be prepared. A mechanism for the metal-to-perovskite conversion is suggested. We further show how electrochemically assisted conversion can allow control over the oxidation state of the metal and increase the reaction rate greatly.
Rumor spreading dynamics with an online reservoir and its asymptotic stability

The spread of rumors is a phenomenon that has heavily impacted society for a long time. Recently, there has been a huge change in rumor dynamics, through the advent of the Internet. Today, online communication has become as common as using a phone. At present, getting information from the Internet does not require much effort or time. In this paper, the impact of the Internet on rumor spreading will be considered through a simple SIR type ordinary differential equation. Rumors spreading through the Internet are similar to the spread of infectious diseases through water and air. From these observations, we study a model with the additional principle that spreaders lose interest and stop spreading, based on the SIWR model. We derive the basic reproduction number for this model and demonstrate the existence and global stability of rumor-free and endemic equilibriums.
Etude opto-électronique des mécanismes de relaxation des électrons de haute énergie dans les hétérostructures en graphène

Dans cette these, nous etudions le couplage electron-phonon dans le graphene, et en particulier l’influence du substrat. Il s’agit de quantifier par des mesures opto-electroniques le couplage des electrons avec les modes de phonons du substrat, que ce soit les modes de phonons polaritons de surface (SPP) pour les substrats isotropes comme le SiO2 ou les modes de phonons polaritons hyperboliques pour les substrats fortement anisotropes comme le h-BN. Pour ce faire, nous commencons par une revue generale du couplage electron-phonon dans le graphene avant de detailler les differentes methodes experimentales utilisees durant la these. Puis, nous detaillons les differents regimes de couplage pour un echantillon de graphene sur SiO2 et nous mettons en evidence la necessite d’etudier des substrats ultra-propres. Nous presentons enfin les resultats obtenus pour un echantillon de graphene sur h-BN dans lequel nous mettons en evidence, en plus du couplage aux HPP,un regime de couplage nouveau qui consiste en l’emission de phonons-polaritons hyperboliques dans un regime d’effet tunnel Zener-Klein
Impact of Skim Reading Based on Different Screen Sizes

Digital technologies have identified themselves in several application domains. This has resulted in massive data availability over the internet. These web contents are generally too long to read. The reader, therefore, skims over the matter because of the limited time available while focusing on understanding the concept of the subject. A hypothesis suggests that full-screen skimming provides a better understanding of ideas as compared to mobile screen skimming. The small size of a mobile device screen is facilitated by a scrolling feature to cover the entire text. In contrast, a full screen provides a larger chunk of text on the screen. In this paper, a software prototype has been developed which sums the contents of the screen in short precis both for computer and mobile screen readers. Experiments have been conducted to analyze the memory of the readers in understanding the meaning of the given text on different screen sizes. The text used in the reading activity experiments has been classified as 1) important, 2) unimportant, and 3) inference sentences. In this study, a total of 50 participants performed a reading activity for a specific time, followed by an evaluation of the text in the form of true or false sentences. The memory of the participants was thereafter analyzed. It was observed that the skimming approach showed better memory about topics and ideas on a computer screen compared to the mobile screen. Thus, the findings of the study were validated in support of the skimming process known as satisficing.
Influence of iron- and zinc-chelating agents on neutrophil extracellular trap formation

Release of neutrophil extracellular traps (NETs) is one of the neutrophils’ mechanisms involved in the response to infection. NETs are released from the cell in response to a biological or synthetic stimulus to entrap, immobilize and kill pathogens. Metal ions and metal binding proteins were identified in the structure of NETs, but their role in NET release remains unclear. The aim of this study was to assess how lack of iron and zinc generated by ion sequestration using chelators affects NET release. Neutrophils were isolated from whole blood or buffy coats of healthy blood donors by density gradient centrifugation and incubated with zinc chelators: 20 µM N,N,N',N'-Tetrakis(2-pyridylmethyl)ethylenediamine (TPEN), 40 µM diethylenetriaminepentaacetic acid (DTPA) or iron chelators: 400 µM deferoxamine mesylate salt (DFO) and 50 µM iminodiacetic acid (IDA). Next, 100 nM phorbol 12-myristate 13-acetate (PMA) was added to stimulate release of NETs. The amount of released DNA was measured by fluorometry and NETs were visualized by immunofluorescence microscopy. This study demonstrates that iron and zinc chelators are able to modulate NET release. Here we show that preincubation of neutrophils with TPEN and IDA inhibits NET release in cells stimulated with PMA. On the other hand, DFO stimulates NET release. Incubation of cells with DTPA does not affect release of NETs.
Role of phase breaking processes on resonant spin transfer torque nano-oscillators

Spin transfer torque nano-oscillators (STNOs) based on magnetoresistance and spin transfer torque effects find potential applications in miniaturized wireless communication devices. Using the non-coherent non-equilibrium Green’s function spin transport formalism self-consistently coupled with the stochastic Landau-Lifshitz-Gilbert-Slonczewski’s equation and the Poisson’s equation, we elucidate the role of elastic phase breaking on the proposed STNO design featuring double barrier resonant tunneling. Demonstrating the immunity of our proposed design, we predict that despite the presence of elastic dephasing, the resonant tunneling magnetic tunnel junction structures facilitate oscillator designs featuring a large enhancement in microwave power up to 8μW delivered to a 50Ω load.