Miracle-dz/UniFAR-FTUs huggingface dataset:
Converged GW quasiparticle energies for transition metal oxide perovskites

The ab initio calculation of quasiparticle (QP) energies is a technically and computationally challenging problem. In condensed matter physics the most widely used approach to determine QP energies is the GW approximation. Although the GW method has been widely applied to many typical semiconductors and insulators, its application to more complex compounds such as transition metal oxide perovskites has been comparatively rare, and its proper use is not well established from a technical point of view. In this work, we have applied the single-shot G0W0 method to a representative set of transition metal oxide perovskites including 3d (SrTiO3, LaScO3, SrMnO3, LaTiO3, LaVO3, LaCrO3, LaMnO3, and LaFeO3), 4d (SrZrO3, SrTcO3, and Ca2RuO4) and 5d (SrHfO3, KTaO3 and NaOsO3) compounds with different electronic configurations, magnetic orderings, structural characteristics and bandgaps ranging from 0.1 to 6.1 eV. We discuss the proper procedure to obtain well converged QP energies and accurate bandgaps within single-shot G0W0 by comparing the conventional approach based on an incremental variation of a specific set of parameters (number of bands, energy cutoff for the plane-wave expansion and number of k-points and the basis-set extrapolation scheme [Phys. Rev. B 90, 075125 (2014)]. In addition, we have inspected the difference between the adoption of norm-conserving and ultrasoft potentials in GW calculations. A minimal statistical analysis indicates that the correlation of the GW data with the DFT gap is more robust than the correlation with the experimental gaps; moreover we identify the static dielectric constant as alternative useful parameter for the approximation of GW gap in high-throughput automatic procedures. Finally, we compute the QP band structure and spectra within the random phase approximation and compare the results with available experimental data.
Magnetic-Field Analysis on Winding Disposition of Transformer for Distributed High-Speed Train Applications

In a high-speed train application, the modularized traction converter produces the significant harmonic currents caused from the switching behavior of a power converter. These harmonic currents bring the interference among the traction equipment. One way to minimize the interference is to design the secondary windings of a power transformer decoupled magnetically as possible. This paper presents a magnetic-field analysis on a winding disposition to clarify an impact on magnetic decoupling between secondary windings, under a limited height of a train. Two winding dispositions for a single-phase shell-type transformer are constructed and simulated by a three-dimensional finite-elements method (FEM) model. The simulation results with two different winding dispositions are provided and the experiments show good agreement with the simulation results.
Electrical Supply for the Small Islands on the Basis of Estonian Example

Electrical supply for the separate small islands can be difficult. It is long way to the mainland. Need of power is small and cable lines are expensive. Electricity through the diesel generators is expensive too. One possible solution is using a combination of wind and solar powers, as reserve diesel generator too. Several islands in Estonia are supplied on such manner. Possible solution for the others is showed too
Congenital and acquired brain injury. 5. Outcomes after acquired brain injury.

UNLABELLED This self-directed learning module highlights several aspects of outcome after acquired brain injury rehabilitation. It is part of the chapter on brain injury rehabilitation in the Self-Directed Physiatric Education Program for practitioners and trainees in physical medicine and rehabilitation. In this article, functional measures commonly used in rehabilitation are described, and their potential uses for various populations are discussed. Key physiologic factors that predict outcome for persons with different acquired brain injuries are identified. Variables that affect return to school and work are described, and the studies evaluating the effectiveness of brain injury rehabilitation programs in general, as well as their subcomponents, are also reviewed. OVERALL ARTICLE OBJECTIVES (a) To describe variables that affect outcome after acquired brain injury and (b) to identify the outcome tools most appropriate for the patient populations and outcomes to be studied.
IQM3: Information Quality Management Maturity Model

In order to enhance their global business performance, organizations must be careful with the quality of their information since it is one of their main assets. Analogies to quality management of classical products demonstrate that Information Quality is also preferably attainable through management by integrating some corresponding Information Quality management activities into the organizational processes. To achieve this goal we have developed an Information Quality Management Framework (IQMF). It is articulated on the concept of Information Management Process (IMP), based on the idea of Software Process. An IMP is a combination of two sub-processes: the first, a production process, aimed to manufacture information from raw data, and the second to adequately manage the required Information Quality level of the first. IQMF consists of two main components: an Information Quality Management Maturity Model (IQM3), and a Methodology for the Assessment and Improvement of Information Quality Management (MAIMIQ), which uses IQM3 as a reference model for the assessment and for the improvement goal of an IMP. Therefore, as a result of an assessment with MAIMIQ, an IMP can be said to have raised one of the maturity levels described in IQM3, and as improvement goal, it would be desirable to achieve a higher maturity level. Since an Information System can be seen as a set of several IMPs sharing several resources, it is possible to improve the Information Quality level of the entire Information System by improving the most critical IMPs. This paper is focused only on describing the foundations and structure of IQM3, which is based on staged CMMI.
Rapid detection and identification of mycobacteria in sputum samples by nested polymerase chain reaction and restriction fragment length polymorphisms of dnaJ heat shock protein gene.

In the diagnosis of mycobacterial infection, more than 4-8 weeks is required to identify the species of mycobacterium responsible for an infection. Therefore, the development of a method for the rapid detection and identification of mycobacteria is necessary for selecting an optimal therapeutic plan early in the patient's course. For this purpose, we developed a method combining a nested polymerase chain reaction (nested PCR) procedure and a restriction fragment length polymorphisms (RFLP) analysis of the dnaJ gene of mycobacteria, which codes for a heat shock protein. The PCR procedure allowed the sensitive detection of mycobacterial DNA in clinical samples. Using only 10 femtograms of mycobacterial DNA as a reaction mixture, a detectable band of target DNA segments could be yielded on an agarose gel. This indicates that even with a single genome amount, the PCR is able to detect mycobacteria. The RFLP analysis of the PCR products allowed us rapidly to distinguish the strains belonging to the M.tuberculosis complex from 11 different strains of nontuberculous mycobacteria. Within 2 days, the method is able to identify the mycobacterial species present in the sputum. Moreover, it has the advantage of not requiring the use of radioisotopes, which strongly enhances its clinical usefulness.
Wireless Sensor Networks - An Introduction

The origins of the research on WSNs can be traced back to the Distributed Sensor Networks (DSN) program at the Defense Advanced Research Projects Agency (DARPA) at around 1980. By this time, the ARPANET (Advanced Research Projects Agency Network) had been operational for a number of years, with about 200 hosts at universities and research institutes (Chong & Kumar, 2003). DSNs were assumed to have many spatially distributed low-cost sensing nodes that collaborated with each other but operated autonomously, with information being routed to whichever node was best able to use the information. At that time, this was actually an ambitious program. There were no personal computers and workstations; processing was mainly performed on minicomputers and the Ethernet was just becoming popular (Chong & Kumar, 2003). Technology components for a DSN were identified in a Distributed Sensor Nets workshop in 1978 (Proceedings of the Distributed Sensor Nets Workshop, 1978). These included sensors (acoustic), communication and processing modules, and distributed software. Researchers at Carnegie Mellon University (CMU) even developed a communication-oriented operating system called Accent (Rashid & Robertson, 1981), which allowed flexible, transparent accesss to distributed resources required for a fault-tolerant DSN. A demonstrative application of DSN was a helicopter tracking system (Myers et al., 1984), using a distributed array of acoustic microphones by means of signal abstractions and matching techniques, developed at the Massachusetts Institute of Technology (MIT). Even though early researchers on sensor networks had in mind the vision of a DSN, the technology was not quite ready. More specifically, the sensors were rather large (i.e. shoe box and
Global microRNA expression profiling of microdissected tissues identifies miR‐135b as a novel biomarker for pancreatic ductal adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is known for its poor prognosis resulting from being diagnosed at an advanced stage. Accurate early diagnosis and new therapeutic modalities are therefore urgently needed. MicroRNAs (miRNAs), considered a new class of biomarkers and therapeutic targets, may be able to fulfill those needs. Combining tissue microdissection with global miRNA array analyses, cell type‐specific miRNA expression profiles were generated for normal pancreatic ductal cells, acinar cells, PDAC cells derived from xenografts and also from macrodissected chronic pancreatitis (CP) tissues. We identified 78 miRNAs differentially expressed between ND and PDAC cells providing new insights into the miRNA‐driven pathophysiological mechanisms involved in PDAC development. Having filtered miRNAs which are upregulated in the three pairwise comparisons of PDAC vs. ND, PDAC vs. AZ and PDAC vs. CP, we identified 15 miRNA biomarker candidates including miR‐135b. Using relative qRT‐PCR to measure miR‐135b normalized to miR‐24 in 75 FFPE specimens (42 PDAC and 33 CP) covering a broad range of tumor content, we discriminated CP from PDAC with a sensitivity and specificity of 92.9% [95% CI=(80.5, 98.5)] and 93.4% [95% CI=(79.8, 99.3)], respectively. Furthermore, the area under the curve (AUC) value reached of 0.97 was accompanied by positive and negative predictive values of 95% and 91%, respectively. In conclusion, we report pancreatic cell‐specific global miRNA profiles, which offer new candidate miRNAs to be exploited for functional studies in PDAC. Furthermore, we provide evidence that miRNAs are well‐suited analytes for development of sensitive and specific aid‐in‐diagnosis tests for PDAC.
Knowledge of morphologically complex words: a developmental study of older children and young adolescents.

PURPOSE This study examined knowledge of derived nominals (e.g., measurement, prediction) and derived adjectives (e.g., algebraic, molecular) in older children and young adolescents. Little was known about students' comprehension of these morphologically complex words that occur in textbooks that are used in public schools to teach challenging subjects such as science, mathematics, social studies, health, and literature. METHOD The Word Knowledge Task (WKT), designed for the present study, was used to examine participants' comprehension of 15 derived nominals and 15 derived adjectives that were selected from state-adopted textbooks. This written, multiple-choice task was administered to 10-year-old children and 13-year-old adolescents (N = 94) who were attending public schools. All participants spoke English and were typical achievers. RESULTS The findings indicated that the adolescents outperformed the children on both types of derived words; the derived nominals were more difficult than the derived adjectives for both groups; and comprehension was associated with frequency of occurrence in print, with easier words generally more common than more difficult ones. IMPLICATIONS Knowledge of morphologically complex words such as derived nominals and derived adjectives is a late linguistic attainment. Given the importance of these words for academic success, instructional programs are needed to ensure that children and adolescents are able to learn their meanings using appropriate strategies.
An efficient image processing based technique for comprehensive detection and grading of nonproliferative diabetic retinopathy from fundus images

This article proposes an automatic image processing method that can be an effective diagnostic tool to detect and grade the severity of diabetic retinopathy. This computer vision-based algorithm imitates the logic and medical sense used by ophthalmologist in detecting the abnormality and its location in the image for grading the severity of the disease. The detection is based on finding abnormalities, such as exudates and red lesions, and the grading is based on the location of these abnormalities in the image referred with its distance from the macula. Accordingly the entire image has been divided into regions and occurrence of abnormalities in these regions indicates the severity of the disease. The methodology stresses on two major factors, accuracy of the results and computation time. It is found that both these design parameters are nicely achieved in the proposed method. The experimental results indicate that overall accuracy over 90% can be achieved in the proposed method and also significantly red.
Optical properties of human skin, subcutaneous and mucous tissues in the wavelength range from 400 to 2000 nm

The optical properties of human skin, subcutaneous adipose tissue and human mucosa were measured in the wavelength range 400–2000 nm. The measurements were carried out using a commercially available spectrophotometer with an integrating sphere. The inverse adding–doubling method was used to determine the absorption and reduced scattering coefficients from the measurements.
Lymphocyte recognition of picornaviruses.

Introduction. The family Picornaviridae is large and diverse, with members producing disease in man, domestic animals and even insects. Picornavirus infections represent good examples of antibody-mediated immunity in protection and recovery from acute infections. T lymphocyte-mediated immunity is being studied increasingly, both from the viewpoint of providing immunological help for the B lymphocyte response and its role in the immunopathology seen in some chronic picornavirus infections. Impetus for the study of antigenic sites on these viruses has come from the desire to develop peptide-based vaccines, which would be both safer and more convenient than currently available attenuated virus preparations. Antibody recognition sites on picornaviruses. Fig. 1 shows the relationship between different picornaviruses based on the nucleotide similarity in the P1 region. There is a considerable degree of sequence identity (usually > 50%) in this region between different members of the same genus (Stanway, 1990).
Design of voltage controller of single-phase inverter for harmonic rejection

This paper presents a design of a voltage controller of single-phase voltage source PWM inverter with LC filters. To compensate voltage distortion from non-linear loads, the resonant controller has been proposed. However, the design of the control system with the resonant controller is not clear. So we propose the design with the Coefficient Diagram Method (CDM).
Power efficiency of application-dependent self-configuring pipeline depth in DSP microprocessors

We illustrate the results of a simulation-based analysis of "self-configuring" pipeline depth in DSP computations, focusing on the effects on power efficiency. We use three different metrics for power efficiency: mips/watts, mips/sup 2//watts, and watts under an absolute performance constraint. Our results, based on a set of commercial DSP benchmarks, show that an application-dependent self-configuring pipeline depth significantly affects power efficiency.
Material : Structured Transforms for Small-Footprint Deep Learning

Proof of Proposition 1.1. The first two properties can be directly verified from the definition. The third property which will turn out to be crucial follows since applying Zf n times cycles the vector back to its original form but with all entries scaled by f . The fourth property follows becauses Zf−1 cancels the downward shift-and-scale action of Zf . The fifth property can be verified by observing the shifting/reversing actions of the left and right hand side on an arbitrary vector.
Enrichment and Detection of Tyrosine‐Nitrated Proteins

Nitrotyrosine is a post‐translationally modified amino acid with distinctly different properties than tyrosine or any other of the genetically encoded amino acids. Detecting proteins containing nitrotyrosine is the first step towards a better understanding of the role of nitrotyrosine in health and disease. Moreover, quantifying the extent of nitrotyrosine and determining its location in a protein forms the basis for a better understanding of the effect of tyrosine nitration on biological function. Described in this unit is a method to detect tyrosine‐nitrated proteins in tissue sections and on western blots after creating a fluorescent complex between aminotyrosine, salicylaldehyde, and Al3+. In addition, an approach is detailed for labeling aminotyrosine with biotin to enrich peptides from complex samples. Both methods require reduction of nitrotyrosine to aminotyrosine, which can be achieved with sodium dithionite or hemin plus dithiothreitol. Curr. Protoc. Protein Sci. 69:14.13. 1‐14.13. 19. © 2012 by John Wiley & Sons, Inc.
Tell me why I don't like Mondays: investigating day of the week effects on job satisfaction and psychological well‐being

Summary. The paper explores the relationship between the day of the week on which a survey respondent is interviewed and their self‐reported job satisfaction and mental health scores by using data from the British Household Panel Survey. Evidence presented here confirms that self‐reported levels of job satisfaction and subjective levels of mental distress systematically vary according to the day of the week on which respondents are interviewed even when controlling for other observed and unobserved characteristics. However, we find that the main conclusions from previous studies of the determinants of job satisfaction and mental well‐being are robust to the inclusion of day‐of‐interview controls.
Wavelet packet cepstral analysis for speaker recognition

A novel processing technique for speaker recognition applications is introduced. It was shown that feature extraction based on cepstral analysis of the wavelet packet decomposition can provide significant inter-speaker separation. This idea is based on deconvolution of the vocal tract and excitation source components through homomorphic decomposition of a signal's multiresolution wavelets. A simple neural network technique is employed to classify the feature vector obtained through wavelet packet cepstral analysis.
Use of UV‐A Energy for Photosynthesis in the Red Macroalga Gracilaria lemaneiformis

UV radiation is known to inhibit photosynthetically active radiation (PAR)‐driven photosynthesis; however, moderate levels of UV‐A have been shown to enhance photosynthesis and growth rates of some algae. Here, we have shown that UV‐A alone could drive photosynthetic utilization of bicarbonate in the red alga Gracilaria lemaneiformis as evidenced in either O2 evolution or carbon fixation as well as pH drift. Addition of UV‐B inhibited the apparent photosynthetic efficiency, raised the photosynthetic compensation point and photosynthesis‐saturating irradiance level, but did not significantly affect the maximal rate of photosynthetic O2 evolution. The electron transport inhibitor, DCMU, inhibited the photosynthesis completely, reflecting that energy of UV‐A was transferred in the same way as that of PAR. Inorganic carbon acquisition for photosynthesis under UV alone was inhibited by the inhibitors of carbonic anhydrase. The results provided the evidence that G. lemaneiformis can use UV‐A efficiently to drive photosynthesis based on the utilization of bicarbonate, which could contribute significantly to the enhanced photosynthesis in the presence of UV‐A observed under reduced levels of solar radiation.
Integrating Mica 2 Motes into the ENSBox Platform

I present a potential design of a heterogeneous acoustic sensing network comprised of the Acoustic Embedded Networked Sensing Box (ENSBox) and the Berkeley Mica2 platforms. I also present one potential method of leveraging the presence of Mica2 motes to improve acoustic source localization. More specifically, I present a method of rejecting grating lobes, which may be present in direction-ofarrival (DOA) estimates created by ENSBoxes, using information available from the additional Mica2 motes.
Hydroxyurea‐induced pneumonitis in a patient with chronic idiopathic myelofibrosis after prolonged drug exposure

Abstract: We describe a 63‐yr‐old patient diagnosed with chronic idiopathic myelofibrosis whose disease was treated with hydroxyurea for 2 yr. He developed respiratory symptoms that were extensively investigated including lung biopsy. Clinical, radiological and histological features were compatible with a diagnosis of hydroxyurea‐induced pneumonitis. Following drug withdrawal there was remarkable improvement in clinical and radiological findings.
Contributions of UP Elements and the Transcription Factor FIS to Expression from the Seven rrn P1 Promoters inEscherichia coli

ABSTRACT The high activity of the rrnB P1 promoter inEscherichia coli results from acis-acting DNA sequence, the UP element, and atrans-acting transcription factor, FIS. In this study, we examine the effects of FIS and the UP element at the other sixrrn P1 promoters. We find that UP elements are present at all of the rrn P1 promoters, but they make different relative contributions to promoter activity. Similarly, FIS binds upstream of, and activates, all seven rrn P1 promoters but to different extents. The total number of FIS binding sites, as well as their positions relative to the transcription start site, differ at each rrn P1 promoter. Surprisingly, the FIS sites upstream of site I play a much larger role in transcription from most rrn P1 promoters compared to rrnBP1. Our studies indicate that the overall activities of the sevenrrn P1 promoters are similar, and the same contributors are responsible for these high activities, but these inputs make different relative contributions and may act through slightly different mechanisms at each promoter. These studies have implications for the control of gene expression of unlinked multigene families.
Extending the Mertonian Norms: Scientists' Subscription to Norms of Research

This analysis, based on focus groups and a national survey, assesses scientists' subscription to the Mertonian norms of science and associated counternorms. It also supports extension of these norms to governance (as opposed to administration), as a norm of decision-making, and quality (as opposed to quantity), as a evaluative norm.
Development and validation of the brief‐satisfaction with appearance scale for systemic sclerosis

Body image concerns are understudied in systemic sclerosis (SSc; scleroderma). The objective was to develop and cross‐validate a brief version of the Satisfaction with Appearance Scale (SWAP) in order to reduce item redundancy, increase SSc relevancy, and improve the feasibility of body image assessment in SSc.