Miracle-dz/UniFAR-FTUs huggingface dataset:
PMSM drive using silicon carbide inverter: Design, development and testing at elevated temperature

With the development in silicon carbide (SiC) power device technology, the prospects of SiC to replace silicon (Si) in HEVs are increasing. Through this paper the authors have tried to highlight the practical challenges associated with the thermal aspect and switching EMI of SiC inverter. To assess the quality of upcoming devices, a statistical analysis of the normally-on SiC JFETs is performed. Experimentally the SiC devices in a voltage source inverter (VSI) topology are exploited to operate at higher case temperature of 105°C. Instead using additional Schottky diodes across the SiC devices, the intrinsic PiN body diodes are utilised, reducing the number of components. The size and cost of the SiC inverter is reduced by removing the LC filter at the output stage of the VSI driving a permanent magnet synchronous machine (PMSM).
DNA self-assembly-driven positioning of molecular components on nanopatterned surfaces

We present a method for the specific, spatially targeted attachment of DNA molecules to lithographically patterned gold surfaces—demonstrated by bridging DNA strands across nanogap electrode structures. An alkanethiol self-assembled monolayer was employed as a molecular resist, which could be selectively removed via electrochemical desorption, allowing the binding of thiolated DNA anchoring oligonucleotides to each electrode. After introducing a bridging DNA molecule with single-stranded ends complementary to the electrode-tethered anchoring oligonucleotides, the positioning of the DNA molecule across the electrode gap, driven by self-assembly, occurred autonomously. This demonstrates control of molecule positioning with resolution limited only by the underlying patterned structure, does not require any alignment, is carried out entirely under biologically compatible conditions, and is scalable.
The Research on the Relationship between Opioid Receptors

Opioid is provided with the characteristics of antalgic and addiction, its primary target is opioid receptor. As for novel drug design, it is of great significance to study the structures and functions of opioid receptors by using bioinformatics methods, and it will contribute to defending and abstaining from opioid drug addiction. Bioinformatics methods such as sequence alignment, evolution analysis and protein interaction are used to study the opioid receptors especially in human: mu-opioid receptor (MOR), delta-opioid receptor (DOR), kappa-opioid receptor (KOR), sigma-opioid receptor (SOR), Orphanin FQ receptor (XOR) are discussed in this article. The research of DOR character has been done simultaneously in order to get more information about the opioid receptors and make more progress for future biological research.
Discriminative bilinear language modeling for broadcast transcriptions

A discriminative bilinear language model (DBLM) estimated on the basis of Bayes risk minimization is described. The discriminative language model (DLM) is conventionally trained by using n-gram features. However, given a large amount of training data, the DLM is not necessarily trained efﬁciently because of the increasing number of unique features. In addition, though some of the n-grams share the same word sequences as contexts, the DLM never reﬂects this kind of information in that they are not designed to work in a coordinated manner. These disadvantages of utilizing n-gram features could lead to a loss of DLM robustness. We solve these issues by introducing a bilinear network structure to the features aimed at factorizing the contexts shared among the n-grams and estimating the model more robustly. In our proposed language modeling, all the model parameters, such as weight matrices, are estimated according to the objective based on the Bayes risk to be minimized on the training lattices. The experimental results show that our DBLM trained in the lightly-supervised manner signiﬁcantly reduced the word error rate compared with that of the trigram LM, while the conventional DLM does not yield a signiﬁcant reduction.
6D magnetic field distribution measurements of permanent magnets with magnetic field camera scanner

We present state-of-the-art high resolution and fast 3D magnetic field mapping on permanent magnets of the (Bx, By, Bz) magnetic field vector components in 3D space, resulting in measurement data with 6 degrees of freedom. These measurements are performed using a high speed 3D magnetic field camera, featuring an integrated 2D Hall sensor array, mounted on a 3-axis mechanical scan stage with a scan range of 300 × 300 × 300mm3 with which measurement speeds of 120mm2/s are obtained with a spatial resolution of 0.1mm × 0.1mm. Volume 3D magnetic field distribution measurements of sensor magnets are performed and analyzed using powerful and versatile data analysis software for the data analysis and quality control of permanent magnets, both in R&D, incoming magnet inspection and production.
Comparison of Bovine Bone‐Autogenic Bone Mixture Versus Platelet‐Rich Fibrin for Maxillary Sinus Grafting: Histologic and Histomorphologic Study

&NA; Numerous grafting materials have been used to augment the maxillary sinus floor for long‐term stability and success for implant‐supported prosthesis. To enhance bone formation, adjunctive blood‐born growth factor sources have gained popularity during the recent years. The present study compared the use of platelet‐rich fibrin (PRF) and bovine‐autogenous bone mixture for maxillary sinus floor elevation. A split‐face model was used to apply 2 different filling materials for maxillary sinus floor elevation in 22 healthy adult sheep. In group 1, bovine and autogenous bone mixture; and in group 2, PRF was used. The animals were killed at 3, 6, and 9 months. Histologic and histomorphologic examinations revealed new bone formation in group 1 at the third and sixth months. In group 2, new bone formation was observed only at the sixth month, and residual PRF remnants were identified. At the ninth month, host bone and new bone could not be distinguished from each other in group 1, and bone formation was found to be proceeding in group 2. PRF remnants still existed at the ninth month. In conclusion, bovine bone and autogenous bone mixture is superior to PRF as a grafting material in sinus‐lifting procedures.
Project Establishment in the Context of Participatory Design: Experience from a Hospital Information System Development Project in a Developing Country

This paper reports on a project establishment undertaking as proposed by the STEPS methodology (Software Technology for Evolutionary Participatory System Design). Project establishment in STEPS is aimed at getting an inner understanding of a project’s environment. This understanding spans getting insights about the user environment, establishing a project team and ends with an initial proposal of the next steps as proposed by STEPS. We describe the methodology we applied: sustained individual and group interactions with the staff at the hospital informed by concepts of participation, collaboration and Joint Applications Design. By reflecting on selected instances of our engagement with the hospital staff, we report as findings the observations that before our project ideas can get ground, there are preliminary reviews and concerns (auxiliary to the central theme of participation) that need to be addressed. They touch on tools, processes and the prevailing organizational culture. The task at hand evolved to be that of cultivating a ‘participatory culture’ on the hospital staff. At the end of the paper we present an outlook from our project establishment experience. We argue that our experiences as described in the paper inform our next steps. We frame our experiences into literature on: a) Power distance dimension in describing national cultures, b) empowerment and democracy in the practice of participatory design and c) incremental system development that proceeds from first defining a core system.
Signalling and pharmacological properties of the P2Y14 receptor

The P2Y14 receptor is a relatively broadly expressed G protein‐coupled receptor that is prominently associated with immune and inflammatory cells as well as with many epithelia. This receptor historically was thought to be activated selectively by UDP‐glucose and other UDP‐sugars. However, UDP is also a very potent agonist of this receptor, and may prove to be one of its most important cognate activators.
Simulation of deflection and stress for MEMS pressure sensor based on graphene

In this paper, we conduct simulation of MEMS pressure sensors based on graphene membrane by using COMSOL finite element software and comparatively study the deflection and stress distribution of rectangular and circular vacuum cavities applied by a pressure. we also analyze the change rule of graphene membrane stress and maximum deflection distance for the two kinds of pressure sensor with different vacuum cavities. Simulation results show that only several layers graphene membrane can deflect greatly under a large pressure and the deflection changes linearly. Finally, we calculate the maximum stress and it is found to meet membrane strength requirement. These advantages predict that graphene has a huge potential for MEMS pressure sensors.
Energy Efficient Coordinated Beamforming for Multicell System: Duality-Based Algorithm Design and Massive MIMO Transition

In this paper, we investigate joint beamforming and power allocation in multicell multiple-input single-output (MISO) downlink networks. Our goal is to maximize the utility function defined as the ratio between the system weighted sum rate and the total power consumption subject to the users' quality of service requirements and per-base-station (BS) power constraints. The considered problem is nonconvex and its objective is in a fractional form. To circumvent this problem, we first resort to an virtual uplink formulations of the the primal problem by introducing an auxiliary variable and applying the uplink-downlink duality theory. By exploiting the analytic structure of the optimal beamformers in the dual uplink problem, an efficient algorithm is then developed to solve the considered problem. Furthermore, to reduce further the exchange overhead between coordinated BSs in a large-scale antenna system, an effective coordinated power allocation solution only based on statistical channel state information is reached by deriving the asymptotic optimization problem, which is used to obtain the power allocation in a long-term timescale. Numerical results validate the effectiveness of our proposed schemes and show that both the spectral efficiency and the energy efficiency can be simultaneously improved over traditional downlink coordinated schemes, especially in the middle-high transmit power region.
Relation Based Bayesian Network for NBNN

Under the conditional independence assumption among local features, the Naive Bayes Nearest Neighbor (NBNN) classifier has been recently proposed and performs classification without any training or quantization phases. While the original NBNN shows high classification accuracy without adopting an explicit training phase, the conditional independence among local features is against the compositionality of objects indicating that different, but related parts of an object appear together. As a result, the assumption of the conditional independence weakens the accuracy of classification techniques based on NBNN. In this work, we look into this issue, and propose a novel Bayesian network for an NBNN based classification to consider the conditional dependence among features. To achieve our goal, we extract a high-level feature and its corresponding, multiple low-level features for each image patch. We then represent them based on a simple, two-level layered Bayesian network, and design its classification function considering our Bayesian network. To achieve low memory requirement and fast query-time performance, we further optimize our representation and classification function, named relation-based Bayesian network, by considering and representing the relationship between a high-level feature and its low-level features into a compact relation vector, whose dimensionality is the same as the number of low-level features, e.g., four elements in our tests. We have demonstrated the benefits of our method over the original NBNN and its recent improvement, and local NBNN in two different benchmarks. Our method shows improved accuracy, up to 27% against the tested methods. This high accuracy is mainly due to consideration of the conditional dependences between high-level and its corresponding low-level features.
[Socioeconomic variables and dengue transmission].

OBJECTIVE To evaluate the relationship between risk of occurrence of dengue and socioeconomic level. METHODS All confirmed autochthonous cases of dengue between September 1990 and August 2002 were geocoded and grouped according to the urban census tracts of the municipality of São José do Rio Preto, Southeastern Brazil. A socioeconomic factor generated by principal component analysis was used to group census tracts into four socioeconomic levels. Incidence rates were calculated for each year and four-year period for each of the census sectors, considering the period from September of one year to August of the next. Thematic maps of sectors, grouped into each of the four socioeconomic levels and their respective disease incidences, are presented. RESULTS Principal component analysis generated a socioeconomic factor that accounted for 87% of total variation. This factor was associated with dengue incidence only for the 1994-95 period. CONCLUSIONS The lack of an association between risk of occurrence of dengue and socioeconomic levels in almost all years studied indicates that this issue deserves further study, and may vary depending on the settings found in each municipality. It will be important to determine the spatial relationship between dengue transmission and other variables, such as degree of immunity in the population, effectiveness of control measures, degree of infestation by the vector; and population habits and behaviors, among others.
A REVIEW ON SEGMENTATION TECHNIQUES FOR FOOD IMAGES

As digital information technology is increasing day by day food image data are used in m any areas. Food processing operation uses analyzing, classification and recognition methods in many applications. In that Food image segmentation is considered as important one. Input food images are acquired from mobile devices or web systems, for different study approaches like calorie and nutrition measurement, carbohydrate estimation, food volume estimation, constructing online foodlog etc. In thi s paper different edge and region based image segmentation techniques are discussed and some of t he methods related to the food images are also conside red.
An efficient CMOS bridging fault simulator: with SPICE accuracy

This paper presents an alternative modeling and simulation method for CMOS bridging faults. The significance of the method is the introduction of a set of generic-bridge tables which characterize the bridged outputs for each bridge and a set of generic-cell tables which characterize how each cell propagates a logically undefined input. These two sets of tables are derived dynamically for a specific design by using a SPICE circuit simulator. Then they can be used by any logic fault simulator to simulate bridging faults. In this way, the proposed method can perform very fast bridging fault simulation yet with SPICE accuracy. The paper shows how these two sets of tables are derived and used in a parallel pattern fault simulator. Experimental results on ISCAS85 benchmarks are promising.
From Start to Finish: Understanding Group Sharing Behavior in a Backcountry Skiing Community

The availability of contextually relevant information is often safety-critical while practicing extreme outdoor sports. Off-piste skiing is not an exception. This activity requires group communication and information sharing before, during, and after each descent. We are reporting on the results of an exploratory research study that we conducted with an experienced group of seven backcountry skiers. Using grounded theory methods to evaluate data from participants, we discovered that "Sharing" is one of the key pillars contributing to a positive skiing experience. This poster describes current information sharing practices that emerged from the data analysis. We also present several design ideas from our participants for mobile and wearable devices / services to assist backcountry winter activities in the stages of planning, execution and follow-up.
Impact of adherence to treatment with fluticasone propionate/salmeterol in asthma patients

Abstract Objective: Low adherence with asthma treatment may be associated with suboptimal outcomes and hence create a treatment gap in the real-life setting. The objective of this study was to assess the long-term association between adherence to treatment with fixed-dose fluticasone propionate/salmeterol (FSC) and the risk of exacerbations and health care utilization in patients with asthma. Research design and methods: Observational single cohort study utilizing the Quebec Health Insurance databases. All patients (age >12 years) with a diagnosis of asthma (ICD9-CM 493.xx) between 2001 and 2010 were entered into the study cohort at the time of their first prescription for FSC at any dose. Follow-up continued to the last known claim or death. Adherence to treatment was ascertained as compliance (medication possession ratio ≥80%) and persistence (absence of treatment gap ≥30 days). Main outcome measures: Outcomes assessed were exacerbations defined as one of the following: use of oral corticosteroid (OCS), emergency room (ER) visit for asthma or hospitalization for asthma. Asthma related health care resource utilizations ascertained were number of prescription claims for rescue medications, ER visits, hospitalizations, intensive care unit (ICU) stay, intubations, and general practitioner (GP) and respirologist visits. Results: A total of 19,126 patients were included in the study. The proportion of compliant and persistent patients were 42.7% and 29.3% respectively. Multivariate logistic regression analyses showed a significantly reduced adjusted odds of exacerbations for compliant (OR = 0.48; 95% CI: 0.44–0.54) and persistent patients (OR = 0.42; 95% CI: 0.38–0.48). Similarly, significantly lower rates of health care utilization were observed for compliant and persistent patients. Conclusions: The results of this large population-based study have shown that increased adherence to treatment with FSC is associated with lower risk for exacerbations, lower rescue medication use and lower health care utilization in asthma patients. Despite the typical limitations of an administrative database study including validity of the diagnosis, the fact that compliance and persistence are calculated based on filled claims which does not guarantee that the patients actually took their medications, and the absence of clinical and laboratory data, the findings have implications for physician and patient awareness of the importance of adherence in the management of asthma.
Influence of mold growth on the pressure drop in aerated solid state fermentors

The measurement of pressure drop(ΔP) across an aerated fermentation bed is proposed as alternative on‐line sensor for the qualitative and, in some cases, quantitative, macroscopic changes in a static solid state fermentor. An increase in the ΔP is correlated with the evolution of the different phases of Aspergillus niger growth: germination, vegetative growth, limitation, and sporulation, we observed in the microscope. For the case where the support is not modified during the fermentation and the water content remains constant, i.e., a synthetic resin (Amberlite IRA‐900), the gas phase permeability of the bed is directly related to the biomass content. For example, the permeability of the bed is reduced to 5% of the initial value when biomass attains 21 mg dry biomass/g dry support. Biomass was appropriately predicted from the ΔP measurements in an independent test. Experiments with different initial sucrose solution concentrations showed that biomass could not be produced beyond a certain level (21.5 mg dry biomass/g dry support) which suggests steric limitations. For the case of wheat bran and cane bagasse, the increase in ΔP was related qualitatively to the evolution in the growth and the morphology of the mold . © 1993 Wiley & Sons, Inc.
Callous and unemotional traits in children and adolescents living in Great Britain

Summary Few studies have assessed psychopathic traits in community samples of young people. We investigated the predictive utility of callous and unemotional traits in a representative sample of 5770 young people from Great Britain. Teachers provided information on the presence of callous and unemotional traits and parents completed the Strengths and Difficulties Questionnaire to determine the level and impact of psychiatric problems at baseline, 12 and 24 months later. Baseline callous and unemotional trait scores independently predicted the number and intensity of conduct, emotional and hyperactivity symptoms at follow-up. Callous and unemotional traits are longitudinally associated with the level and impact of childhood psychiatric problems.
Effects of oral administration of heat-killed Enterococcus faecium strain NHRD IHARA in post-weaning piglets.

Probiotic bacteria such as lactic acid bacteria (LAB) have recently received attention as candidates for alternative anti-microbial feed additives. We previously isolated Enterococcus faecium strain NHRD IHARA (FERM BP-11090, NHRD IHARA strain) and reported its probiotic efficacy. However, we have not determined the effect of oral administration of heat-killed cells of this strain. Here, we performed two experiments to investigate the effect of oral administration of the heat-killed NHRD IHARA strain on post-weaning piglets. In Experiment 1, there was a significant improvement in growth performance (P = 0.04) and increase in serum immunoglobulin A (IgA) production (P = 0.03) in the group fed heat-killed cells. These results were similar to previous results we obtained with live cells. We also found changes in serum and fecal IgA production that were unrelated to the patterns of microbiotal change. In Experiment 2, we detected a significant improvement in villus growth in the jejunum (P = 0.0002). In conclusion, oral administration of the heat-killed NHRD IHARA strain in post-weaning piglets had the same efficacy as administration of the live strain. The heat-killed NHRD IHARA strain can be used as feed additives to improve pig growth and health on commercial farms.