Miracle-dz/UniFAR-FTUs huggingface dataset:
A stator-flux-based diagnostic method for IGBT open-circuit faults in an induction motor drive

this paper addresses a single-switch IGBT open-circuit faults diagnosis of a two-level voltage source inverter in an induction motor drive system with the direct torque control (DTC) strategy. The proposed diagnostic algorithm consists in the analysis of a stator flux vector amplitude and its position in a stationary reference frame. In accordance with this method the inverter fault is detected when an abnormal local minimum of the stator flux amplitude is observed. Furthermore, for the fault localization the information about a stator currents polarity is processed. Full robustness against false alarms and high effectiveness of the proposed fault diagnostic method has been proved by experimental tests, whose selected results are presented in this paper.
The Rim Pathway Mediates Antifungal Tolerance in Candida albicans through Newly Identified Rim101 Transcriptional Targets, Including Hsp90 and Ipt1

ABSTRACT Invasive candidiasis (IC) is a major cause of morbidity and mortality despite antifungal treatment. Azoles and echinocandins are used as first-line therapies for IC. However, their efficacy is limited by yeast tolerance and the emergence of acquired resistance. Tolerance is a reversible stage created due to the yeast's capacity to counter antifungal drug exposure, leading to persistent growth. For Candida albicans, multiple stress signaling pathways have been shown to contribute to this adaptation. Among them, the pH-responsive Rim pathway, through its transcription factor Rim101p, was shown to mediate azole and echinocandin tolerance. The Rim pathway is fungus specific, is conserved among the members of the fungal kingdom, and plays a key role in pathogenesis and virulence. The present study aimed at confirming the role of Rim101p and investigating the implication of the other Rim proteins in antifungal tolerance in C. albicans, as well as the mechanisms underlying it. Time-kill curve experiments and colony formation tests showed that genetic inhibition of all the Rim factors enhances echinocandin and azole antifungal activity. Through RNA sequencing analysis of a rim101−/− mutant, a strain constitutively overexpressing RIM101, and control strains, we discovered novel Rim-dependent genes involved in tolerance, including HSP90, encoding a major molecular chaperone, and IPT1, involved in sphingolipid biosynthesis. Rim mutants were also hypersensitive to pharmacological inhibition of Hsp90. Taken together, these data suggest that Rim101 acts upstream of Hsp90 and that targeting the Rim pathway in combination with existing antifungal drugs may represent a promising antifungal strategy to indirectly but specifically target Hsp90 in yeasts.
An Efficient System for Information Recommendation

A recommendation system is the one of the most effective tools for tackling with the problem of information overload. However, as the maturity of Web 2.0 and the emergence of massive information, the existing information recommendation systems have the serious drawbacks in the aspects of real-timing, robustness and self-adaptability. Motivated by the above facts, in this paper, we design SIRSCA, which is an efficient semantic-driven information recommendation system under the cloud architecture. Specially, the SIRSCA system mainly include four modules: semantics representation of foundation data and user preference informations; indexing mechanism of massive semantic informations under cloud architecture; recommendation approaches based on semantic computation theory; and technologies of dynamic migration under cloud architecture. We present the extensive experiments that demonstrate our improved system is both efficient and effective. DOI: http://dx.doi. org/10.11591/telkomnika.v12i6. 5445 Full Text: PDF
Thermal Conductivity of Yttria–Zirconia Single Crystals, Determined with Spatially Resolved Infrared Thermography

The thermal diffusivity of yttria–zirconia (Y2O3–ZrO2) single crystals, with YO1.5 concentrations in the range of 0–60 mol%, has been determined using a new method that is based on spatially resolved (20 μm) infrared mapping of a modulated thermal field. The decreasing trend of the thermal conductivity (K), as a function of the YO1.5 content (up to 20 mol%), can be described using a model based on a Debye approach that has been modified by introducing a cut-off length for the phonon mean free path. At higher concentrations, K increases, as a result of a possible ordering of the point defects.
Mesoporous Silica Nanoparticles as Carriers for Intracellular Delivery of Nucleic Acids and Subsequent Therapeutic Applications

Nucleic acids, including DNA, microRNA (miRNA), small interfering RNA (siRNA), and antisense oligonucleotide (ASO), are powerful gene regulators, which have been demonstrated as promising drug candidates for therapeutic treatments. Nevertheless, poor cellular membrane permeability and serum stability have greatly hindered the applications of nucleic acids in biomedicine. To address these issues, associate carriers that can encapsulate and protect nucleic acids are urgently required. Mesoporous silica nanoparticles (MSNs or MSNPs), which are nanomaterials with excellent biocompatibility, large surface area for functionalization, and tunable pore size for encapsulating different cargos, are emerging as novel and ideal biomaterials for different biomedical applications. In this review paper, we focus on the applications of MSNs in nucleic acid delivery and nucleic acid-guided therapeutic treatments. General strategies for the preparation of nucleic acid-MSN complexes will be firstly introduced, followed by a summary of recent applications of MSNs in nucleic acid delivery and nucleic acid-guided therapeutics.
Three-phase grid-connected PV system operating with feed-forward control loop and active power-line conditioning using NPC inverter

This paper presents a single-stage three-phase grid-connected photovoltaic (PV) system, which is implemented using the three-level neutral-point-clamped inverter. The PV system operates with an additional feed-forward control loop (FFCL), in order to improve the dynamic behavior of both dc-bus voltage and inverter currents, when the PV array is subjected to abrupt insolation changes. In other words, sudden solar radiation changes can cause large voltage oscillations on the inverter dc-bus, interfering in an adequate PV system operation, due to the generation of the inverter current references are computed taking into account the dc-bus voltage control loop. Thus, the use of the FFCL reduces the settling time and overshoot/undershoot of the dc-bus voltage. Moreover, the dynamic response of the currents injected into the grid are also improved. Simultaneously, the PV system is able to perform the active power-line conditioning by suppressing load harmonic currents and performing reactive power compensation. Although the FFCL can be used in conjunction with any maximum power point tracking technique, perturb and observe technique is adopted to generate the dc-bus voltage reference. Simulation results are presented in order the evaluate the performance, as well the effectiveness of the PV system operating with the proposed FFCL.
Development of the Larval Amphibian Growth and Development Assay: Effects of benzophenone‐2 exposure in Xenopus laevis from embryo to juvenile

The Larval Amphibian Growth and Development Assay (LAGDA) is a globally harmonized chemical testing guideline developed by the U.S. Environmental Protection Agency in collaboration with Japan's Ministry of Environment to support risk assessment. The assay is employed as a higher tiered approach to evaluate effects of chronic chemical exposure throughout multiple life stages in a model amphibian species, Xenopus laevis. To evaluate the utility of the initial LAGDA design, the assay was performed using a mixed mode of action endocrine disrupting chemical, benzophenone‐2 (BP‐2). X. laevis embryos were exposed in flow‐through conditions to 0, 1.5, 3.0 or 6.0 mg l–1 BP‐2 until 2 months post‐metamorphosis. Overt toxicity was evident throughout the exposure period in the 6.0 mg l–1 treatment due to elevated mortality rates and observed liver and kidney pathologies. Concentration‐dependent increases in severity of thyroid follicular cell hypertrophy and hyperplasia occurred in larval tadpoles indicating BP‐2‐induced impacts on the thyroid axis. Additionally, gonads were impacted in all treatments with some genetic males showing both testis and ovary tissues (1.5 mg l–1) and 100% of the genetic males in the 3.0 and 6.0 mg l−1 treatments experiencing complete male‐to‐female sex reversal. Concentration‐dependent vitellogenin induction occurred in both genders with associated accumulations of protein in the livers, kidneys and gonads, which was likely vitellogenin and other estrogen‐responsive yolk proteins. This is the first study that demonstrates the endocrine effects of this mixed mode of action chemical in an amphibian species and demonstrates the utility of the LAGDA design for supporting chemical risk assessment. Copyright © 2016 John Wiley & Sons, Ltd.
A 300-pW audio ΑΣ modulator with 100.5-dB DR using dynamic bias inverter

A micropower audio delta-sigma modulator is presented for mobile applications. The modulator employs dynamic bias inverter based integrators, which maximizes both g m /I D ratio and slew rate while compensating PVT variations. A prototype modulator implemented in a 0.18pm CMOS process features a single-bit third-order topology. The modulator achieves 97.7dB SNDR, 98.6dB SNR, 100.5dB DR, and 105.8dB SFDR in a 20kHz audio band, while consuming only 300pW from a 1.8V supply. This corresponds to a state-of-the-art FoM of 178.7dB.
Characterizing and comparing phylogenies from their Laplacian spectrum

Phylogenetic trees are central to many areas of biology, ranging from population genetics and epidemiology to microbiology, ecology, and macroevolution. The ability to summarize properties of trees, compare different trees, and identify distinct modes of division within trees is essential to all these research areas. But despite wide-ranging applications, there currently exists no common, comprehensive framework for such analyses. Here we present a graph-theoretical approach that provides such a framework. We show how to construct the spectral density profiles of phylogenetic trees from their Laplacian graphs. Using ultrametric simulated trees as well as non-ultrametric empirical trees, we demonstrate that the spectral density successfully identifies various properties of the trees and clusters them into meaningful groups. Finally, we illustrate how the eigengap can identify modes of division within a given tree. As phylogenetic data continue to accumulate and to be integrated into various areas of the life sciences, we expect that this spectral graph-theoretical framework to phylogenetics will have powerful and long-lasting applications.
Realizability of Choreographies Using Process Algebra Encodings

Service-oriented computing has emerged as a new software development paradigm that enables implementation of Web accessible software systems that are composed of distributed services which interact with each other via exchanging messages. Modeling and analysis of interactions among services is a crucial problem in this domain. Interactions among a set of services that participate in a service composition can be described from a global point of view as a choreography. Choreographies can be specified using specification languages such as Web Services Choreography Description Language (WS-CDL) and visualized using graphical formalisms such as collaboration diagrams. In this paper, we present an encoding of collaboration diagrams into the LOTOS process algebra for choreography analysis. This encoding allows us to (1) check the temporal properties of choreographies using a LOTOS verification tool set called the Construction and Analysis of Distributed Processes (CADP) toolbox, (2) check the realizability of choreographies for both synchronous communication and bounded asynchronous communication, and (3) automate the peer generation process. Realizability indicates whether peers can be generated from a given choreography specification in such a way that the interactions of the generated peers exactly match the choreography specification. If a collaboration diagram is unrealizable, our approach extends the peer generation process by adding extra communication that guarantees that the peers behave according to the choreography specification.
Engine Performance Characteristics of Diesel Engine Using Mahua Biodiesel as Fuel

In many countries biodiesel found suitable alternative fuel as it is environment friendly. Although straight vegetable oils can be used in diesel engines, their high viscosities, low volatilities and poor cold flow properties have led to the investigation of various derivatives. An experimental investigation has been conducted on single cylinder diesel engine fueled with blends of Mahua and diesel. Five concentrations of biodiesel is taken for investigation and the engine performance characteristics has been studies under different loading conditions. The biodiesel with concentration of 20% is found suitable among all blends of biodiesel and pure diesel.
STAR Chimeric Post for rapid detection of circular RNA and fusion transcripts

Motivation The biological relevance of chimeric RNA alignments is now well established. Chimera arising as chromosomal fusions are often drivers of cancer, and recently discovered circular RNA are only now being characterized. While software already exists for fusion discovery and quantitation, high false positive rates and high run-times hamper scalable fusion discovery on large datasets. Furthermore, very little software is available for circular RNA detection and quantification. Results Here we present STAR Chimeric Post (STARChip), a novel software package that processes chimeric alignments from the STAR aligner and produces annotated circular RNA and high precision fusions in a rapid, efficient, and scalable manner that is appropriate for high dimensional medical omics datasets. Availability and Implementation STARChip is available at https://github.com/LosicLab/STARChip Contacts bojan.losic@mssm.edu or nicholas.kipp. akers@gmail.com Supplementary Information Supplementary figures and tables are available online.
Catastrophizing, rumination, and reappraisal prospectively predict adolescent PTSD symptom onset following a terrorist attack

Disruptions in emotion regulation are a transdiagnostic risk factor for psychopathology. However, scant research has examined whether emotion regulation strategies are related to the onset of posttraumatic stress disorder (PTSD) symptoms among youths exposed to trauma. We investigated whether pretrauma emotion regulation strategies prospectively predicted PTSD symptom onset after the 2013 Boston Marathon terrorist attack among adolescents and whether these associations were moderated by the degree of exposure to media coverage of the attack.
A Theoretical and Experimental Review of SystemC Front-ends

SystemC is a widely used tool for prototyping Systems-on-a-Chip. Being implemented as a C++ library, a plain C++ compiler is sufficient to compile and simulate a SystemC program. However, a SystemC program needs to be processed by a dedicated tool in order to visualize, formally verify, debug and/or optimize the architecture. In this paper we focus on the tools (called front-ends) used in the initial stages of processing SystemC programs. We describe the challenges in developing SystemC front-ends and present a survey of existing solutions. The limitations and capabilities of these tools are compared for various features of SystemC and intended back-end applications. We present typical examples that front-ends should ideally be able to process, and give theoretical limitations as well as experimental results of existing tools.
Quantum Physics and Reality

Abstract Apparent paradoxes in Quantum Physics demand a sharp distinction between a "real part of the world" and the realm of possibilities. In the former we may distinguish individual elements (coarse events) relating to space-time, with causal connections between them respecting the relativistic locality principle. The latter, quantitatively described by probability assignments conditioned on existing facts and depending on the definition of equivalence classes of situations, cannot be subdivided in space-time categories. There are global correlations (Pauli principle.). The cut between the realms of facts and possibilities implies an evolutionary picture of the "real world" in which the (generalized) arrow of time assumes basic significance. Some deficiencies of existing theory are pointed out.
Brain susceptibility changes in neurologically asymptomatic pediatric patients with Wilson’s disease: evaluation with quantitative susceptibility mapping

Background Wilson’s disease (WD) is a copper metabolism disorder that causes hepatolenticular degeneration. It is important to diagnose WD before central nervous system involvement. Purpose To demonstrate the early susceptibility changes associated with the copper accumulation in the brain of neurologically asymptomatic pediatric patients with WD using quantitative susceptibility mapping (QSM). Material and Methods Twelve patients with neurologically asymptomatic WD (mean age = 13.7 ± 3.3 years) and 14 age-matched controls were prospectively examined using a 1.5-T clinical scanner. Routine magnetic resonance (MR) sequences and a three-dimensional multi-echo spoiled gradient echo (GRE) sequence were used and QSM maps were reproduced. The quantitative susceptibility of corpus striatum, thalamus, substantia nigra, and pons were analyzed with the region of interest analysis on QSM maps. The susceptibility values of two groups were statistically compared using a two-sample t-test. Results Conventional MR images of the patients and control group were similar. However increased magnetic susceptibility in the thalamus, pons and left posterior putamen were observed in the patients compared to the control group (p < 0.05). Conclusion We observed statistically increased susceptibility values in the brains of neurologically asymptomatic patients with WD although the conventional MR images were normal. This might be compatible with early brain impairment, before neurological symptoms occur.
HybridDock: A Hybrid Protein-Ligand Docking Protocol Integrating Protein- and Ligand-Based Approaches

Structure-based molecular docking and ligand-based similarity search are two commonly used computational methods in computer-aided drug design. Structure-based docking tries to utilize the structural information on a drug target like protein, and ligand-based screening takes advantage of the information on known ligands for a target. Given their different advantages, it would be desirable to use both protein- and ligand-based approaches in drug discovery when information for both the protein and known ligands is available. Here, we have presented a general hybrid docking protocol, referred to as HybridDock, to utilize both the protein structures and known ligands by combining the molecular docking program MDock and the ligand-based similarity search method SHAFTS, and evaluated our hybrid docking protocol on the CSAR 2013 and 2014 exercises. The results showed that overall our hybrid docking protocol significantly improved the performance in both binding affinity and binding mode predictions, compared to the sole MDock program. The efficacy of the hybrid docking protocol was further confirmed using the combination of DOCK and SHAFTS, suggesting an alternative docking approach for modern drug design/discovery.
Physiologically Based Pharmacokinetic Modeling of Bosentan Identifies the Saturable Hepatic Uptake As a Major Contributor to Its Nonlinear Pharmacokinetics

Bosentan is a substrate of hepatic uptake transporter organic anion–transporting polypeptides (OATPs), and undergoes extensive hepatic metabolism by cytochrome P450 (P450), namely, CYP3A4 and CYP2C9. Several clinical investigations have reported a nonlinear relationship between bosentan doses and its systemic exposure, which likely involves the saturation of OATP-mediated uptake, P450-mediated metabolism, or both in the liver. Yet, the underlying causes for the nonlinear bosentan pharmacokinetics are not fully delineated. To address this, we performed physiologically based pharmacokinetic (PBPK) modeling analyses for bosentan after its intravenous administration at different doses. As a bottom-up approach, PBPK modeling analyses were performed using in vitro kinetic parameters, other relevant parameters, and scaling factors. As top-down approaches, three different types of PBPK models that incorporate the saturation of hepatic uptake, metabolism, or both were compared. The prediction from the bottom-up approach (models 1 and 2) yielded blood bosentan concentration-time profiles and their systemic clearance values that were not in good agreement with the clinically observed data. From top-down approaches (models 3, 4, 5-1, and 5-2), the prediction accuracy was best only with the incorporation of the saturable hepatic uptake for bosentan. Taken together, the PBPK models for bosentan were successfully established, and the comparison of different PBPK models identified the saturation of the hepatic uptake process as a major contributing factor for the nonlinear pharmacokinetics of bosentan.
Emulation of large scale WSN: from real neighbors to imaginary destination

Setting up large experimental testbeds for wireless sensor networks (WSN) requires access to a huge surface as well as extensive financial and human resources. Due to limited access to such infrastructures, the vast majority of existing theoretical and simulation studies on georouting are not evaluated in real environments. A more affordable approach is needed to provide preliminary insights on network protocols performance. To overcome the need for a large number of sensors required to perform realistic experiments we introduce a novel approach to emulation. We propose to emulate large scale experiment by using a smaller number of core sensor nodes. These nodes are the 1-hop neighborhood of node S, currently holding the packet to forward, and are potential next hops. The destination position is virtual, outside of this real neighborhood. Emulation is performed as follows: (i) S transmits the packet over a real wireless channel to the selected forwarding node B, (ii) re-map the node B to S and its neighborhood to core nodes, (iii) adjust the position of the virtual destination by translating it by ! BS. We repeat these steps until the virtual destination falls into the 1-hop neighborhood of the node currently holding the packet. Compared to real testbeds, our emulation allows testing networks of very high densities and provides unlimited scalability.
Characterization of Signal Quality Monitoring Techniques for Multipath Detection in GNSS Applications

The performance of Signal Quality Monitoring (SQM) techniques under different multipath scenarios is analyzed. First, SQM variation profiles are investigated as critical requirements in evaluating the theoretical performance of SQM metrics. The sensitivity and effectiveness of SQM approaches for multipath detection and mitigation are then defined and analyzed by comparing SQM profiles and multipath error envelopes for different discriminators. Analytical discussions includes two discriminator strategies, namely narrow and high resolution correlator techniques for BPSK(1), and BOC(1,1) signaling schemes. Data analysis is also carried out for static and kinematic scenarios to validate the SQM profiles and examine SQM performance in actual multipath environments. Results show that although SQM is sensitive to medium and long-delay multipath, its effectiveness in mitigating these ranges of multipath errors varies based on tracking strategy and signaling scheme. For short-delay multipath scenarios, the multipath effect on pseudorange measurements remains mostly undetected due to the low sensitivity of SQM metrics.