Miracle-dz/UniFAR-FTUs huggingface dataset:
Open-End Unidirectional Topologies With Reduced Controlled Switch Count

Three three-phase unidirectional open-end topologies with reduced active switch count are investigated in this paper. These configurations arise from the replacement of controlled switches by diodes, in order to reduce the system complexity. Furthermore, the costs are also reduced once less driver circuitry is needed. The proposed topologies make the ac–dc conversion of the power delivered by a permanent magnet synchronous machine operating at unity power factor. Each configuration is made out of two converters in which at least one is derived from the substitution of active switches in two-level legs or three-level neutral-point clamped legs. The proposed configurations have less switches, making it possible to obtain the same number of voltage levels (in relation with the conventional configurations) with half or quarter of the number of active switches. Also, the topologies are compared in terms of semiconductor power losses and harmonic distortion. The control strategy of the systems as well as a detailed model, simulation, and experimental results are presented.
A REVIEW ON THERAPEUTIC POTENTIAL OF TOLL-LIKE RECEPTORS IN CARDIOVASCULAR DISEASES

Toll-like receptors are the surface molecule and they are most responsile for the recognition of the exogenous infectious ligand and endogenous molecule, which are released during host tissue injury and there by downstream signelling pathway are activated by the interaction of TLRs with their ligand. That induces an immune responses by producing cytokines, type 1 interferones and other inflammatory diseases including atherosclerosis, septic cardiomyopathy, viral myocarditis, ischemia and cardic remodeling after myocardial infraction. Individual TLRs are also initiate and integrate homeostasis response within heart. Blockade of these TLRs may be beneficial in both preventing and decreasing the complications in cardiovascular system. The proposed review on role of toll like receptors in cardiovascular diseases reveals that endogeneous molecule which trigger innate immunity via TLRs in cardiovascular diseases.
Analytical modelling and device design optimisation of epitaxial layer-based III-V tunnel FET

The line tunnelling and heterojunction are two important techniques to improve the performance of the tunnelling field-effect transistors (TFETs). The TFETs that utilise both of these techniques perform superior to the conventional TFETs. The recently proposed T-shaped TFET (TTFET) is one such heterojunction-based line tunnelling device that is expected to become energy efficient switch. For the first time, a physics-based analytical model for surface potential and drain current of epitaxial layer-based heterojunction line TFET has been developed. The model describes the impact of device design parameters on the electrical performance of the device. The Poisson equation is solved with precise boundary conditions to obtain the surface potential model. Kane's model is used to calculate drain current by utilising surface potential model. A good agreement between Synopsys technology computer-aided design simulation and analytical model is observed with 5.4% error in on current at V GS = V DS = 0.5 V, an average error of 5.80% in surface potential and 7.24% in transconductance. Finally, a device design guideline is presented according to the analytical expressions.
Building a Portable Talking Medicine Reminder for Visually Impaired Persons

Assistive systems can help improving the ability of disabled persons in taking care of themselves. There are more than 39 million visually impaired persons in the world, and moreover, the amount is increasing year by year. Therefore, Developing assistive systems for the visually impaired persons is an important issue. Since the medication guides are often too complex for visually impaired persons, it makes The visually impaired persons frequently forgetting to take drugs or being wrong in medication. In this work, we are going to develop a portable talking medicine reminding system to assist visually impaired persons in medication and reduce the number of medication errors. The assistive system will mainly provide auditory feedback in operation, and braille output for special needs. The assistive system will also provide a user-friendly interface that is specifically designed for visually impaired persons and is compatible with common-used screenreaders. The assistive system identifies drugs based on the now relatively common barcodes on drug begs. In addition, to overcome the problem that it is difficult for visually impaired persons to scan the barcode horizontally or vertically, an omni-directional barcode recognition technology will be used in the assistive system. It will make the assistive system easier for visually impaired persons to use. The assistive system will be built on a handheld device for better portability so that it can assist visually impaired persons anytime and anywhere, and reduce the number of medication errors. The system will be suitable to be used in the applications of ubiquitous health-care. Keywords—assistive systems for visually impaired persons; portable and talking assistive systems; medicine-taking reminding; barcode recognition; ubiquitous health-care.
MC-Sketch: Enabling Heterogeneous Network Monitoring Resolutions with Multi-Class Sketch

Nowadays, with the emergence of software-defined networking, sketch-based network measurements have been widely used to balance the tradeoff between efficiency and reliability. The simplicity and generality of a sketch-based system allow it to track divergent performance metrics and deal with heterogeneous traffic characteristics. However, most of the existing proposals mainly consider priority-agnostic measurements, which introduce equal error probability to different classes of traffic. While network measurements are usually task-oriented, e.g., traffic engineering or intrusion detection, a system operator may be interested only in tracking specific types of traffic and expect various levels of tracking resolutions for different traffic classes. To achieve this goal, we propose MC-Sketch (Multi-Class Sketch), a priority-aware system that provides various classes of traffic with differential accuracy subject to the limited resources of a programmable switch. It privileges higher priority traffic in accessing the sketch over background traffic and naturally provides heterogeneous tracking resolutions. The experimental results and large-scale analysis show that MC-Sketch reduces the measurement errors of high priority flows by 56.92% without harming the overall accuracy much.
Soft-Switched Modulation Technique for a Single-Stage Matrix-Type Isolated DC–AC Converter

This paper proposes a soft-switched modulation technique with synchronous rectification for an isolated single-stage single-phase matrix-type dc–ac converter. The dc side consists of a full bridge inverter, and the ac side is a 2×2 matrix converter-based cycloconverter. The proposed unipolar modulation strategy provides zero current switching/zero voltage switching (ZVS) for the ac side devices and ZVS-on for the dc side devices. It also allows natural commutation of the current flowing through the secondary side leakage inductor of the isolation transformer and the grid inductor during unity power factor (UPF) condition, thus eliminates the requirement of snubber circuit. An improved soft-switched flyback-based regenerative snubber circuit is also presented for non-UPF operation. Proposed snubber circuit recycles the energy stored in the snubber capacitors in every switching cycle. A guideline to design snubber circuit along with a comparative study is discussed in this paper. Performance of the proposed hybrid modulation technique is evaluated in an SiC mosfet based 1.2-kW dc–ac converter prototype. A detailed analysis of the converter performance has been presented in this paper considering the circuit non-idealities.
Role of Epstein-Barr Virus and Human Papilloma Virus in the Development of Oropharyngeal Cancer: A Literature Review

The aim of this review was to describe the association and related mechanisms between HPV, EBV, and the development of oral and oropharyngeal cancer. A search for scientific evidence was carried out in electronic databases (MEDLINE/PubMed, SciELO). It was found that, among the carcinogenic mechanisms of HPV, E6 and E7 proteins are responsible for the malignization process, inhibiting tumor suppressors p53 and pRb. As to EBV, it was noted that its “hit and run” phenomenon manipulates the host epigenetic mechanism, triggering the tumor process without the virus being currently present; a “cellular reprogramming” is essentially generated, causing heritable changes in gene expression without DNA mutation. In conclusion, there is an association between oropharyngeal carcinogenesis and HPV and also between the former and EBV. Further studies are required to clarify the causal mechanisms and impact of both viruses on cancer development and to obtain biomarkers of greater specificity in the case of EBV.
Knowledge Energy, Recurrent Learning and the Transformation of an R&D Institution in a Mexican Public University

When University R&D institutions perform projects to create technology solutions, they produce knowledge and learn. The basic idea proposed in this article is that one of the fuels that produce such a dynamic process is the organization’s knowledge energy. When it flows in multidisciplinary projects within and outside an organization's borders, it also produces recurrent learning along each technology prototype improvement. Through the years this dynamic is capable of producing substantial transformations and empower R&D institutions, as we found in the transformation of the Applied Sciences and Technological Development Center into the Applied Sciences and Technology Institute of the National Autonomous University in México. This is a limited case study.
Aerosol Impacts on Water Relations of Camphor (Cinnamomum camphora)

Major parts of anthropogenic and natural aerosols are hygroscopic and deliquesce at high humidity, particularly when depositing to leaf surfaces close to transpiring stomata. Deliquescence and subsequent salt creep may establish thin, extraordinary pathways into the stomata, which foster stomatal uptake of nutrients and water but may also cause stomatal liquid water loss by wicking. Such additional water loss is not accompanied by a wider stomatal aperture with a larger CO2 influx and hypothetically reduces water use efficiency (WUE). Here, the possible direct impacts of aerosols on physical and physiological parameters of camphor (Cinnamomum camphora) were studied (i) in a greenhouse experiment using aerosol exclusion and (ii) in a field study in Taiwan, comparing trees at two sites with different aerosol regimes. Scanning electron microscopy (SEM) images showed that leaves grown under aerosol exclusion in filtered air (FA) were lacking the amorphous, flat areas that were abundant on leaves grown in ambient air (AA), suggesting salt crusts formed from deliquescent aerosols. Increasing vapor pressure deficit (VPD) resulted in half the Ball-Berry slope and double WUE for AA compared to FA leaves. This apparent contradiction to the wicking hypothesis may be due to the independent, overcompensating effect of stomatal closure in response to VPD, which affects AA more than FA stomata. Compared to leaves in a more polluted region in the Taiwanese Southwest, NaCl aerosols dominated the leaf surface conditions on mature camphor trees in Eastern Taiwan, while the considerably lower contact angles and the 2.5 times higher minimum epidermal conductances might have come from organic surfactants. Interpretations of SEM images from leaf surface microstructures should consider amorphous areas as possible indicators of aerosol deposition and other hygroscopic material. The amount and type of the material determine the resulting impacts on plant water relations, together with the surrounding atmosphere and ecophysiological traits.
Psilocybin—Mediated Attenuation of Gamma Band Auditory Steady-State Responses (ASSR) Is Driven by the Intensity of Cognitive and Emotional Domains of Psychedelic Experience

Psilocybin is a classical serotoninergic psychedelic that induces cognitive disruptions similar to psychosis. Gamma activity is affected in psychosis and is tightly related to cognitive processing. The 40 Hz auditory steady-state responses (ASSR) are frequently used as indicators to test the ability to generate gamma activity. Based on previous literature, we studied the impact of psilocybin on 40 Hz ASSR in healthy volunteers. The study was double blind and placebo controlled with a crossover design. A sample of 20 healthy subjects (10M/10F) received psilocybin orally 0.26 mg/kg or placebo. Participants were measured four times in total, one time before ingestion of psilocybin/placebo and one time after ingestion, during the peak of intoxication. A series of 500 ms click trains were used for stimulation. Psilocybin induced a psychedelic effect and decreased 40 Hz ASSR phase-locking index compared to placebo. The extent of the attenuation was related to Cognition and Affect on the Hallucinogen Rating Scale. The current study shows that psilocybin lowers the synchronization level and the amplitude of 40 Hz auditory steady-state responses, which yields further support for the role of gamma oscillations in cognitive processing and its disturbance.
Faces Recognition and Facial Gender Classification using Convolutional Neural Network

— Computational power in deep convolutional neural networks has made it possible to have robust classifiers for faces and facial gender for many security issues and computer vision problems. This paper proposes two convolutional neural network (CNN) models for face recognition and facial gender classification. The models consist of an image input layer, followed by three blocks of convolutional, normalization, activation, and max-pooling layers, and three fully connected layers. The performance of the proposed CNN solutions is evaluated using five publicly available face datasets. Two greyscale face datasets: Sheffield and AT & T. Three color face datasets, Faces94, Ferret, and Celebrity Face Images from Kaggle. The achieved classification accuracy ranged between 99.0% and 100% on the Faces94, Ferret, Sheffield, and AT&T datasets, and classification accuracy of 93.6% to 95.0% on the Kaggle dataset. The proposed CNN can process and classify a small-size face image 32 × 32-pixel from the Faces94, Sheffield, and AT&T datasets and 100 × 100 pixels from the Ferret and Kaggle datasets. The obtained results prove that the proposed CNN models are an effective solution for face image recognition and facial gender image classification. The proposed model produces competitive accuracy compared to several state-of-the-art methods.
Covid-19 cases influencing the Stock Exchange indices on the example of BIST100 in Turkey, NASDAQ in the USA and WIG in Poland

The purpose of the article/hypothesis: The goal of this paper is to show differences between markets’ reactions to a number of Covid-19 new cases. Stock exchanges and their indices from Turkey, the USA and Poland are analyzed during the first year of the global pandemic. The hypothesis that there are significant differences between markets regarding the reaction to new Covid-19 cases is tested in this research paper. Methodology: BIST100 Index representing the Istanbul Stock Exchange in Turkey, NASDAQ Composite representing NASDAQ Exchange in the USA and WIG Index representing the Warsaw Stock Exchange in Poland are analyzed in relation to Covid-19 new cases. The correlation analysis with delays of markets’ reactions and panel data OLS regression models are tested with rates of return as dependent variables. Results of the research: The findings show the immediate negative influence of new cases rates of change on the stock indices rates of return, although there are some differences and similarities between correlation coefficients, especially when the delays in reactions are taken into consideration. The Turkish exchange was reacting immediately to the rates of change of new Covid-19 cases, the US exchange needed more time to adjust, while in Poland the correction was detected after investors’ over-reaction in the first two weeks. The significant difference between the Polish and US markets regarding the correlation is confirmed indicating that the reactions on the global market were not identical. What the findings add to the literature is the evidence of differences and similarities between markets representing different religions, continents, and cultures.
Heterogeneous bonding between cyclo‐olefin polymer (COP) and glass‐like substrate by newly developed water vapor‐assisted plasma, Aqua Plasma Cleaner

To develop high‐performance and low‐cost microfluidic devices, heterogeneous bonding with cyclo‐olefin polymer (COP) and glass substrate was investigated by low‐pressure plasma using water vapor. COP and glass‐like substrate were bonded at room temperature under its own weight, and the bonding strength reached the breaking point of base material strength. Water contact angle of the COP and glass surface after water vapor plasma was less than 1° (superhydrophilic) and showed stable hydrophilicity even after 30 days. Water vapor plasma and COP surface were analyzed by optical emission spectroscopy (OES) and x‐ray photoelectron spectroscopy (XPS) to study the reaction of room temperature bonding.
Bilevel Model for Protection-Branch Measurements-Based Topology Attack Against DC and AC State Estimations

A topology attack, as a special class of false data injection attacks, tampers with topology information of a system to mislead the decision of the control center. This article conducts an in-depth study on topology attacks that aim to interfere with the judgment in topology information and pose potential damage by tampering with measurement data and protection information on branches, namely, protection-branch measurements-based topology attacks (PBT attacks). To achieve PBT attacks in actual networks, we study the protection settings and mechanisms in term of branches including transformers and transmission lines. Then, for the first time, we develop a bilevel model based on the protection configuration from the perspective of security-constrained economic dispatch. Meanwhile, since a bilevel model is constructed against dc state estimation, a conversion method in constructing attack vectors under PBT attacks against ac power system is proposed, which makes PBT attacks more suitable for actual power systems and more concealed. In a set of case studies on an IEEE 14-bus system, the simulation results verify the effectiveness of the model we proposed, analyze the vulnerability of network under PBT attacks, and then identify some critical branches that are defended to cope with PBT attacks. In addition, the comparison between PBT attacks and traditional cyber-overloaded attacks also shows a stronger threat of the studied attacks.
Association of new SNPs at DGAT1 gene with milk quality in Egyptian Zaraibi goat breed

Abstract This study aimed to detect putative genomic loci in candidate genes associated with milk composition in Egyptian Zaraibi goats. A total number of 50 samples were tested to detect polymorphism in exons 15 and 16 of the diacylglycerol acyltransferase 1 (DGAT1) gene. The PCR products were sequenced and aligned. Sequence analysis showed three new genotypes in the studied samples: T1C1 (T12C SNP), T2C2 (T84C), and AG (G219A), then three groups were created: the first group was BB with C1T1 and AG genotypes, the second was DD which contains C2T2 and AG genotypes, and the third was AG with only AG genotype. GLM showed that the DD group with C84T and G219A SNPs had significantly the highest fat percent. Meanwhile, the BB group with C84T and G219A SNPs recorded significantly the highest total solids levels. On the other hand, the AG group which has G219A SNP showed a non-significant effect on milk components. Those new SNPs were submitted to GenBank and approved to be published. Moreover, translation of those sequences showed that the G219A SNP causes a substitution of Glycine to Serine in exon 16 at position 106. This SNP (G106S) was predicted to be tolerated by SIFT with a score of 0.48.
A Hybrid Cascaded Multilevel Converter Based on Three-Level Cells for Battery Energy Management Applied in Electric Vehicles

In order to produce more voltage levels and meet the requirement of the motor drive in electric vehicles (EVs), a hybrid cascaded multilevel converter based on three-level (TL) cells is proposed in this paper. In each unit, there is a battery and two series-connected capacitors, which hold a half of the battery voltage, respectively. Each TL cell is controlled to be connected or bypassed by a converter unit because of the modular structure. Three voltage levels can be produced when the TL cell is connected. All TL cells are cascaded to produce a staircase dc voltage, and an H-bridge is utilized to alternate the direction of it to form the ac output voltage. Compared to similar converter based on half-bridge arms, the proposed topology is able to produce more voltage levels with same number of battery modules. Voltage balances among TL cells and between two capacitors in each TL cell are both realized by a proposed overall control strategy. Experiments are provided to show the validity of the analysis.
Utility of neutrophil gelatinase-associated lipocalin in the management of acute kidney injury: A prospective, observational study

Background: Utilization of renal biomarkers such as neutrophil gelatinase-associated lipocalin in the management of acute kidney injury may be useful as a diagnostic tool in the emergency department. Objective: The aim of this study is to determine the relationship between serum neutrophil gelatinase-associated lipocalin level and the severity of the acute kidney injury based on the Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease (RIFLE) classification, and to investigate the role of the serum neutrophil gelatinase-associated lipocalin level in differentiating the etiology and predicting the 30-day mortality rate and need for dialysis. Methods: This prospective, observational study was conducted from March 2015 to 2016. Adult patients with acute kidney injury in the emergency department were enrolled in the study. Demographic and clinical features such as hypovolemic state, nephrotoxic substance exposure, renal functions, and serum neutrophil gelatinase-associated lipocalin level were evaluated. After the etiology of the acute kidney injury was ascertained, the severity of the acute kidney injury was determined according to RIFLE criteria. Primary outcome was defined as the correlation between serum neutrophil gelatinase-associated lipocalin level and the severity of the acute kidney injury according to RIFLE classification. Secondary outcomes were defined as the relationship between the serum neutrophil gelatinase-associated lipocalin level and the etiology of the acute kidney injury; need for dialysis and 30-day mortality were defined as poor outcomes. Results: A total of 87 patients were included in the study. Mean serum neutrophil gelatinase-associated lipocalin levels were 380.14 ± 276.65 ng/mL in RIFLE-R, 425.80 ± 278.99 ng/mL in RIFLE-I, and 403.60 ± 293.15 ng/mL in RIFLE-F groups. There was no statistically significant relationship between the severity of acute kidney injuries and serum neutrophil gelatinase-associated lipocalin level. Initial serum neutrophil gelatinase-associated lipocalin levels in the emergency department did not indicate a statistically significant ability to predict the etiology of acute kidney injury, 30-day mortality rates, or need for dialysis. Conclusion: Initial serum neutrophil gelatinase-associated lipocalin level in the emergency department is not a determinant tool for predicting the severity, etiology, 30-day mortality rates, or need for dialysis in cases of acute kidney injuries.