Miracle-dz/UniFAR-FTUs huggingface dataset:
Predictive Control-Based NADIR-Minimizing Algorithm for Solid-State Transformer

: Solid-state transformers (SSTs) are becoming an important solution to control active distribution systems. Their signiﬁcant ﬂexibility in comparison with traditional magnetic transformers is essential to ensure power quality and protection coordination at the distribution level in scenarios of large penetration of distributed energy resources such as renewables, electric vehicles and energy storage. However, the power electronic interface of SSTs decouples the nature of the inertial and frequency responses of distribution loads, deteriorating the frequency stability, especially under the integration of large-scale solar and wind power plants. Despite the virtual inertia/voltage sensitivity-based algorithms that have been proposed, the frequency sensitivity of loads and the capability of guaranteeing optimal control, considering the operating restrictions, have been overlooked. To counteract this speciﬁc issue, this work proposes a predictive control-driven approach to provide SSTs with frequency response actions by a strategy that harnesses the voltage and frequency sensibility of distribution loads and considers the limitations of voltage and frequency given by grid codes at distribution grids. In particular, the control strategy is centered in minimizing the NADIR of frequency transients. Numerical results are attained employing an empirically-validated model of the power system frequency dynamics and a dynamic model of distribution loads. Through proportional frequency control, the results of the proposed algorithm are contrasted. It is demonstrated that the NADIR improved about 0.1 Hz for 30% of SST penetration.
Into the Eye of the Cytokine Storm THE CYTOKINE STORM

medicineattheUniversityofWashingtoninSe-attle.Hehashadalongstandinginterestinmechanismsofhostdefense,inﬂammation,andinjuryinthelungsandhasservedastheDirec-toroftheUniversityofWashingtonSpecializedCenterinAcuteLungInjuryResearch.InJune2011,hebecametheDirectorofClinicalSciencesintheRespiratoryFranchiseatNovartisPharmaceuticalsinEastHanover,NJ. biology approaches computational of host response to respiratory virus infection, using genomic and proteomic technologies to hepatitis C virus (HCV) and HCV-associated liver disease. research are on applying genomic and proteomic technologies to the study of virus-host interactions and the innate immune response.
Simultaneous Signal Separation and Denoising in DCT Domain for Wireless Communication Applications

—This paper addresses the problem of blind signal separation (BSS) for the system of multiple input and multiple output signals (MIMO). Different modulation techniques such as quadrature phase shift keying (QPSK), minimum shift keying (MSK), and Gaussian minimum shift keying (GMSK) have been considered. Several methods have been investigated to solve this problem such as principle component analysis (PCA), independent component analysis (ICA), and multi user kurtosis (MUK) algorithms. Different modulation techniques and different algorithms in the separation have been investigated to for comparison between results. In this paper, we propose wavelet denoising with PCA, ICA and MUK methods. We use the separation algorithm for the discrete cosine transforms (DCT) for blind of mixed signals, instead of separating the mixtures themselves, as a technique that achieves a great result in eliminating the noise. The proposed algorithm is used with multi user kurtosis (MUK) that used for blind of mixed signals with considering the instantaneous mixture of two sources. The simulation results show a considerable improvement in extracted signals when compared to original signals.
Identiﬁcation of an Ancillary Protein, YabF, Required for Activity of the KefC Glutathione-Gated Potassium Efﬂux System in Escherichia coli

A new subunit, YabF, for the KefC K 1 efﬂux system in Escherichia coli has been identiﬁed. The subunit is required for maximum activity of KefC. Deletion of yabF reduces KefC activity 10-fold, and supply of YabF in trans restores activity. IS 2 and IS 10 R insertions in yabF can be isolated as suppressors of KefC activity consequent upon the V427A and D264A KefC mutations. Glutathione (GSH)-gated potassium efﬂux systems are , systems, The systems
Abc1p Is a Multidrug Efﬂux Transporter That Tips the Balance in Favor of Innate Azole Resistance in Candida krusei (cid:1)

Most Candida krusei strains are innately resistant to ﬂuconazole (FLC) and can cause breakthrough candidemia in immunocompromised individuals receiving long-term prophylactic FLC treatment. Although the azole drug target, Erg11p, of C. krusei has a relatively low afﬁnity for FLC, drug efﬂux pumps are also believed to be involved in its innate FLC resistance. We describe here the isolation and characterization of Abc1p, a constitutively expressed multidrug efﬂux pump, and investigate ERG11 and ABC1 expression in C. krusei . Examination of the ERG11 promoter revealed a conserved azole responsive element that has been shown to be necessary for the transcription factor Upc2p mediated upregulation by azoles in related yeast. Extensive cloning and sequencing identiﬁed three distinct ERG11 alleles in one of two C. krusei strains. Functional overexpression of ERG11 and ABC1 in Saccha- romyces cerevisiae conferred high levels of resistance to azoles and a range of unrelated Abc1p pump substrates, while small molecule inhibitors of Abc1p chemosensitized C. krusei to azole antifungals. Our data show that despite the presence of multiple alleles of ERG11 in some, likely aneuploid, C. krusei strains, it is mainly the low afﬁnity of Erg11p for FLC, together with the constitutive but low level of expression of the multidrug efﬂux pump Abc1p, that are responsible for the innate FLC resistance of C. krusei .
A study on labeling strategies for crowdsourced consumer electronics

Firms are utilizing consumers for their new product development processes, this phenomenon is called crowdsourcing. The crowd is being utilized for generating new product ideas and for selecting new product ideas. Previous literature has been looked at the effect of branded crowd generated products on product market performance, while this study extends the literature by examining the effect of labeling products as crowd selected as well. In addition, it argues that such effects are mediated by perceived risk and perceived quality. This study attempts to test these effects by conducting an experimental survey. The within-subject design allows us to measure the effect of four labeling strategies on crowdsourced consumer electronical products. All respondents will randomly be exposed to all treatments, i.e. the labels are attached to the products randomly and the survey allows us to measure the effect of the treatments on product market performance, perceived risk and perceived quality. Crowdsourced products that are generated and selected by the crowd can be labeled to four labeling strategies. These products can be labeled as ‘generated by the crowd’, ‘selected by the crowd’, ‘generated and selected by the crowd’ or no label is attached. We argue that labeling crowdsourced products as customer selected, the perceived risk decreases because the word-of-mouth effect will improve the decision making process for customers. Crowdsourced products that are labeled as ‘generated and selected by the crowd’ have no direct or indirect effects on purchase intentions. When crowdsourced products are labeled as ‘selected by the crowd’, we found something different. This label leads to lower purchase intentions, but this effect disappears when crowdsourced products are perceived as useful and novel. We found an indirect-only mediation effect of the label ‘generated by the crowd’ on purchase intentions. This label negatively affects crowdsourced consumer electronics’ purchase intentions by increasing the perceived risk. In other words, people are less intended to purchase such products attached with a ‘generated by the crowd’ label, because they perceive these products as less reliable. Content
Combined Tracking of the Maximum Power and Maximum Efficiency Operating Points for Real-Time Maximization of the Energy Production of PV Systems

The power production of a photovoltaic (PV) system can be maximized by applying a global maximum power point tracking (MPPT) method for ensuring that the PV array operates at the global MPP where its power production is maximized and, simultaneously, by dynamically maximizing the efficiency of the power converter that interfaces the PV-generated energy to the energy storage devices or the electric grid. In this paper, a new control method has been presented for the real-time maximization of the power production of PV systems by modifying in real time the duty cycle and switching frequency of the power converter PWM control signal. The proposed method has the advantage that it can be applied in PV systems operating under partial shading conditions. Also, knowledge of either the operational characteristics and configuration of the PV modules within the PV array or the power converter operational characteristics, is not required for its application. The experimental results validated that by using the proposed method, the power production of the PV system is increased significantly compared to the case that only the power production of the PV array is maximized by using a global MPPT technique without tracking the optimal value of the power converter efficiency.
Fine-mapping identifies two additional susceptibility 9q31.2.

breast cancer loci at Abstract We recently identi ﬁ ed a novel susceptibility variant, rs865686, for estrogen-receptor positive breast cancer at Here, we report a ﬁ ne-mapping analysis of the 9q31.2 susceptibility locus using 43 160 cases and 42 600 controls of European ancestry ascertained from 52 studies and a further 5795 cases and 6624 controls of Asian ancestry from nine studies. Single nucleotide polymorphism (SNP) rs676256 was most strongly associated with risk in Europeans (odds ratios [OR] = 0.90 [0.88 – 0.92]; P -value = 1.58 × 10 − 25 ). This SNP is one of a cluster of highly correlated variants, including rs865686, that spans ∼ 14.5 kb. We identi ﬁ ed two additional independent association signals demarcated by SNPs rs10816625 (OR = 1.12 [1.08 – 1.17]; P -value = 7.89 × 10 − 09 ) and rs13294895 (OR = 1.09 [1.06 – 1.12]; P -value= 2.97 × 10 − 11 ). SNP rs10816625, but not rs13294895, was also associated with risk of breast cancer in Asian individuals (OR = 1.12 [1.06 – 1.18]; P -value= 2.77× 10 − 05 ). Functional genomic annotation using data derived from breast cancer cell-line models indicates that these SNPs localise to putative enhancer elements that bind known drivers of hormone-dependent breast cancer, including ER- α , FOXA1 and GATA-3. In vitro analyses indicate that rs10816625 and rs13294895 have allele-speci ﬁ c effects on enhancer activity and suggest chromatin interactions with the KLF4 gene locus. These results demonstrate the power of dense genotyping in large studies to identify independent susceptibility variants. Analysis of associations using subjects with different ancestry, combined with bioinformatic and genomic characterisation, can provide strong evidence for the likely causative alleles and their functional basis.
ArticleAsh behaviour during combustion of agropellets produced by an agro industry. Part

Eight different pellets (one woody and seven blends of woody and herbaceous biomass) produced by an agro-industry were tested in a fixed-bed reactor to characterize their behaviour during their combustion process. The objective was to analyze the possible problems that could arise and, thus, achieve advances in the greater penetration of these agropellets in the energy market. The blends’ design and tests results are presented in the first part of this article. The results of the bottom ash and fly ash samples obtained from the combustion tests using SEM-EDS and P-XRD techniques were analyzed in order to delve into the sintering and deposition phenomena, respectively. Regarding the sintering, a clear relationship has been found between the results of the SEMEDS analysis and the initial composition of the ash of the fuels. Additionally, the analysis of the results confirms a different ash behaviour regarding the sintering phenomenon depending on the ratio between the amounts of Si, Ca + Mg and K + Na. With respect to deposition, it has been determined that in woody pellets, showing the lower sintering degree, the predominant deposition mechanism is by inertial impact, while in blend pellets it is by condensation, which increases when the percentage of herbaceous in the mixture increases. It has been proved that, in order to compensate (at least partially) for the negative effect of the herbaceous components in the blends, working with a higher λ value is interesting, as it achieves a decrease in the combustion temperature (with λ >1), which implies both a decrease in the sintering degree and in the deposition, improving therefore the ash behaviour in the combustion of agropellets.
and Value-at-Risk estimation using

Value-at-Risk (VaR) has emerged in recent years as a standard tool to measure and control the risk, mainly the market risk, of financial portfolios. It measures the worst loss to be expected of a portfolio over a given time horizon at a given level of confidence. The calculation of Value-at-Risk commonly, involves estimation of the volatility return price and quantile of standardized returns. In this paper, two parametric techniques were used to estimate the volatility of the returns (market prices) of a Portuguese Financial Institution portfolio. Although to achieve the quantiles of standardized returns, both parametric technique and one nonparametric technique were considered. The quality of the measuring result was analysed through the backtesting technique for the forecasting multiperiod. In this study it is revealed that AR(1)-TGARCH methodology produces the most accurate VaR forecast, for one day holding period. The volatility forecasts for the two other holding periods, considering the three methodologies, revealed to be biased.
MECHANISMS OF PROTECTIVE ACTION OF PHYSICAL ACTIVITY ON THE OCCURRENCE, CLINICAL COURSE, AND FUNCTIONAL RECOVERY FROM ISCHEMIC STROKE

In this paper, a review of literature was done regarding the mechanisms of impact of physical activity on the incidence of cerebrovascular disease - ischemic stroke (IS), on the degree of neuronal damage and clinical picture and degree of functional recovery after IS. The mechanisms by which physical activity protects against IS are multifactorial. The protective effects are most often related to vascular risk factor modification, reduction of neuronal apoptosis, cerebral edema and infarction volume. Physical activity increases the levels of some biohumoral factors with important protective functions for cell growth and neuroplasticity. Physical activity stimulates neurogenesis and angiogenesis, prevents blood-brain barrier dysfunction, reduces inflammatory response, and controls glutamatergic excitotoxicity. In this manner it improves cerebrovascular function, increases nerve tissue tolerance to hypoxia, and reduces the degree of damage, thereby improving clinical presentation and providing a higher degree of functional recovery, reducing also the rates of mortality from IS. Furthermore, physical activity leads to enhanced brain tissue tolerance to ischemia, mediated by increased levels of protective heat shock proteins. Physical activity causes an increase in the level of TNFα, reducing the expression of its receptors over time and limiting in this manner inflammatory damage in the pathogenesis of IS, in which TNFα plays a cruci al role. Physical activity is important for the prevention of overweight and obesity, which are recognized as the leading causes of IS. A large number of studies have demonstrated a protective effect of physical activity on the incidence, course and outcome of IS. Physical activity, even at early ages, reduces vascular risk factors and obesity, thus preventing IS. The mechanisms of prevention are mediated by a complex effect on metabolic processes. Acta Medica Medianae 2017;56(3):70-76.
Influence of motor fault on synchronization and dynamic characteristics of a multi-motor driving system

An increasing number of multi-motor driving systems (MMDSs) appear in the new energy, transportation and aerospace owing to its high reliability, small weight and size, and other beneficial features. Multiple motors drive the gear assembly in these transmission systems. Uneven load distribution (torque or speed synchronization issues) and motor fault are the most likely problems in their usage. The interaction between the motor and the gear transmission system plays a major role in the synchronization and dynamic characteristics of MMDS, especially when a motor fault occurs. Therefore, the influence of a motor fault on the synchronization and dynamic characteristics of MMDS will be investigated. An electromechanical coupling dynamic model of MMDS is established by using node finite element method. The numerical calculation is used to predict the synchronization and dynamic characteristics of system, and the experiment is performed to validate the model. Results show that the speed synchronization characteristic between the non-fault motors is affected less by the motor fault; However, the motor fault has a relatively large influence on the torque synchronization characteristic and the stator current synchronization characteristic between the non-fault motors. In addition, the motor fault has an important influence on the dynamic characteristics of the system; it not only increases the dynamic responses amplitude, but also slightly changes the compositions of the excitation frequency. In the practical engineering, the stator current can be selected as the feedback signal to monitor the output torque and torque synchronization characteristic of motor.
Spatial and temporal variations of air temperature inversions over different surface types on Ammassalik Island (East Greenland) Master Thesis

Air temperature inversions, situations in which atmospheric temperature increases with height, are a common feature in the Arctic planetary boundary layer. Such stable layers have multiple consequences for the Arctic environment. Besides affecting vertical gradients of flora and fauna, they also have a direct impact on physical characteristics such as permafrost thaw depths, snow cover, and ice ablation. Comprehensive knowledge of the spatial and temporal variability of temperature inversion characteristics such as thickness, height, strength, and frequency are therefore crucial for understanding the surface impact of Arctic climate change. The present study investigates the spatial and temporal variations of temperature inversions over different surface types and during different synoptic scale events on Ammassalik Island in East Greenland. During a field campaign in summer 2019, high temporal resolution profiles of atmospheric variables such as air temperature, humidity, and pressure were collected using unmanned aerial vehicles (UAVs). 113 profiles were acquired in a period of 13 days (06.07.2019-18.07.2019) over different surface types (rock, gravel, snow, ice) and at varying distances from the ocean (approximately 0km-6km). Distinct air temperature inversions were present in 83% of the profiles, showing considerable variation in height and thickness. The rather bare (rocky and sandy) glacier foreland between the sea and the glacier induces surface heating and convection during the day and, through interaction with sea breezes, leads to the frequent formation of elevated inversions (EI). In contrast, the glacier surface itself (snow and ice) acts as a persistent cooling surface and leads to the formation of permanent surface-based inversions (SBI). The EI were most frequent and intense at times when changing air masses interacted with each other and the sea breeze was moderate. On cloudy and windy days, EI had lower frequency and intensity. The high-frequency and high-resolution profiles collected were compared with profiles from the nearby Tasiilaq radiosonde and with reanalysis data from ERA-I and ERA-5. All data sets (radiosonde and reanalysis products) show cold or warm temperature biases in the near-surface regions, which strongly affect the inversion statistics. The data on the ablation of the nearby Mittivakkat glacier were collected during the field campaign in order to gain a better understanding of the impact of temperature inversion statistics on ablation. It is concluded that incident solar radiation was one of the main drivers of ablation during the field campaign. A relation between strength, height and thickness of the EI and strength and thickness of the SBI on the glacier and glacier melt was observed.
Use of RBM for Identifying Linkage Structures of Genetic Algorithms

—Linkage Identiﬁcation is a quite important in Genetic Algorithm studies. If we found linkage structures, we can improve coding methods, genetic operations. The Restricted Boltzmann Machine (RBM) is adopted to capture linkage structures in this study. The learning data of the RBM consist of data generated by referring to the nonlinearity check of the Linkage Identiﬁcation by non-Linearity Check. The activation values of the neurons in the hidden layer in the RBM and corresponding learning data are visualized. We can easily ﬁnd out linkage structures by using the resultant images.
Black probes of Schr¨odinger spacetimes

: We consider black probes of Anti-de Sitter and Schr¨odinger spacetimes embedded in string theory and M-theory and construct perturbatively new black hole geometries. We begin by reviewing black string conﬁgurations in Anti-de Sitter dual to ﬁnite temperature Wilson loops in the deconﬁned phase of the gauge theory and generalise the construction to the conﬁned phase. We then consider black strings in thermal Schr¨odinger, obtained via a null Melvin twist of the extremal D3-brane, and construct three distinct types of black string conﬁgurations with spacelike as well as lightlike separated boundary endpoints. One of these conﬁgurations interpolates between the Wilson loop operators, with bulk duals deﬁned in Anti-de Sitter and another class of Wilson loop operators, with bulk duals deﬁned in Schr¨odinger. The case of black membranes with boundary endpoints on the M5-brane dual to Wilson surfaces in the gauge theory is analysed in detail. Four types of black membranes, ending on the null Melvin twist of the extremal M5-brane exhibiting the Schr¨odinger symmetry group, are then constructed. We highlight the diﬀerences between Anti-de Sitter and Schr¨odinger backgrounds and make some comments on the properties of the corresponding dual gauge theories.
An Interest Rate Benumbed

Evidence from a structural VAR: can a structural break be found in recent monetary policy transmission? Abstract The reliability of monetary policy as an economic stabilisation tool depends on the understanding of the empirical effects of policy intervention on macroeconomic aggregates. Since investigating the interdependencies between macroeconomic variables necessarily involves studying their interactions over time, time series analysis is an important tool. This thesis sets out to examine the presence and effects of nonstationarity in the form of a structural break in a basic VAR of four endogenous variables. Specifically, the transmission of a monetary policy shock on the macroeconomic aggregate of 11 Euro Area countries is estimated for the period 1999–2017, employing variables based on previous studies. A Quandt-Andrews breakpoint test is used to identify the break date, and a comparison is made between the periods. This study finds support for the presence of a break in the regression estimate from the breakpoint test, although the reults from the IRFs cannot be shown to be statistically significant, nor to be bias-free.