Miracle-dz/UniFAR-FTUs huggingface dataset:
Line start permanent magnet motors with different materials

This paper describes the principle characteristics of two permanent magnet excited AC-motors with line start capability designed for the same minimum performance requirements within the same frame size. The basic design equations allow to explain the influences of the two different magnet materials. The building and testing of one of the motors verifies the model used for the design.
Design and characterization of multilayer spiral transmission-line baluns

We discuss the design of coupled spiral transmission-line baluns modeled after the Marchand type. The balun structure consists of a pair of coupled spiral conductors vertically offset across intervening polyimide layers. The baluns are fabricated on various substrates (glass and high- and low-resistivity silicon). The characteristics such as return loss, insertion loss, and output signal imbalance are measured. The center frequencies of 3-dB bandwidths (BWs), primarily determined by their conductor lengths, range from 1.2 to 3.5 GHz. The 3-dB BW normalized by the center frequency is /spl sim/1.48 in all cases. We observe an optimum BW for better performance. Return losses at the center frequencies range from 13 to 18 dB. Amplitude imbalance distributes in the range of 0.3-1.0 dB, depending on the sizes of devices and substrates. The minimum insertion loss is 0.55 dB for the balun on a glass substrate with 100-/spl mu/m-wide conductors. The devices fabricated on glass and high resistivity (>4000 n cm) silicon show remarkably similar behaviors despite the large difference in dielectric constant. This technique is applicable to monolithic microwave integrated circuits.
Wheelchair kinematics simulation for upper limb musculoskeletal disorder prevention

For handrim wheelchair users, much more than for the rest of the worldwide population, the upper limb is where the most common musculoskeletal disorders occur (Stainer 1996). During wheelchair propulsion, movement amplitude and repetition, proximity of joints limits, user overweight and vertical forces are commonly admitted as the main risk factors of upper limb injuries (PutzAnderson 1988; Putz-Anderson et al. 1997; INRS 2007). In this context, we propose a fully customisable tool for wheelchair propulsion simulation and upper limb musculoskeletal disorder prevention. Furthermore, this work is a contribution to the ANR SACR-FRM project.
Light field reconstruction robust to signal dependent noise

Capturing four dimensional light field data sequentially using a coded aperture camera is an effective approach but suffers from low signal noise ratio. Although multiplexing can help raise the acquisition quality, noise is still a big issue especially for fast acquisition. To address this problem, this paper proposes a noise robust light field reconstruction method. Firstly, scene dependent noise model is studied and incorporated into the light field reconstruction framework. Then, we derive an optimization algorithm for the final reconstruction. We build a prototype by hacking an off-the-shelf camera for data capturing and prove the concept. The effectiveness of this method is validated with experiments on the real captured data.
Circularly polarized quarter‐cylinder‐shaped dielectric resonator antenna using a single probe feed

This article proposes a dielectric resonator in the form of a quarter of a cylinder to perform as a circularly polarized antenna using a very simple feed design on which a single probe excites two resonant modes in phase quadrature and spatial orthogonality. This study examines some electromagnetic aspects of this antenna and it also presents and discusses the results achieved from computational simulation and experimental measurements. It was verified a good agreement between simulated and experimental results showing a 3‐dB axial ratio bandwidth over 3% at 2.25 GHz. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 57:722–726, 2015
Online Portfolio Optimization with Risk Control

Portfolio selection is undoubtedly one of the most challenging topics in the area of finance. Since Markowitz's initial contribution in 1952, portfolio allocation strategies have been intensely discussed in the literature. With the development of online optimization techniques, dynamic learning algorithms have proven to be an effective approach to building portfolios, although they do not assess the risk related to each investment decision.In this work, we compared the performance of the Online Gradient Descent (OGD) algorithm and a modification of the method, that takes into account risk metrics controlling for the Beta of the portfolio. In order to control for the Beta, each asset was modeled using the CAPM model and a time-varying Beta that follows a random walk. We compared both the traditional OGD algorithm and the OGD with Beta constraints with the Uniform Constant Rebalanced Portfolio and two different indexes for the Brazilian market, composed of small caps and the assets that belong to the Ibovespa index. Controlling the Beta proved to be an efficient strategy when the investor chooses an appropriate interval for the beta during bull markets or bear markets. Moreover, the time-varying beta was an efficient metric to force the desired correlation with the market and also to reduce the volatility of the portfolio during bear markets.
Bowing of legs is it always rickets? A case report.

Objective: Familial Blount disease is a rare developmental disorder that results in acute varus angulation of the proximal tibia. In this case report, we present a young male child along with his mother and two of his siblings who presented with Blount disease, we reviewed the etiology, risk factors and the most common differentials and the common approach of this rare disease. This presentation of bilateral progressive leg bowing, turned out to be Blount disease after a thorough clinical/radiological workup. Methods: A single case of reviewed for this case study. The patient an 8 year old male who presented with progressive bilateral leg bowing was examined, investigated and managed accordingly. We also reviewed the etiology, risk factors, differentials and common approach to a patient with Blount disease. Results: The patient was referred to the orthopedic clinic and was scheduled for bilateral epiphysiodesis. Conclusion: When evaluating leg bowing in children, many causes should be ruled out before making a diagnosis. This case documents a rare cause behind leg bowing in children that pediatricians/general physicians should always keep in mind.
Alpha Version, Delta Signature: Cognitive Aspects of Artefactual Creativity

This paper explores the cognitive aspects of artefactual creativity in new media art. With regards to the diversity of practices in this domain, I focus on generative art projects created primarily by processing the material from cinema, television and the Internet. These projects blend procedural thinking with bricolage, leverage complex technical infrastructures, foster curiosity and encourage vigilance in our critical appreciation of the arts, technology, culture, society, and human nature. I discuss their methodologies, poetic features, cultural and social contexts in three sections which exemplify the effects and consequences of computational paradigm: database logic, statistical abstraction and quantification. Throughout each section, I outline the theoretical considerations that can be educed from the examples, and expand on them in the concluding section which examines the artists’ creative motives and circumstances for analogizing and meaning making in relation to the cognitive and ethical implications of generative new media art.
Diagnosis of Intellectual Potential for First Grade Entrance Test Candidates in Vietnam with 'Sternberg's Triarchic Theory of Intelligence

The article introduces the organization of measuring the intellectual potential of entrance test candidates of grade 1 of Experimental Schools, Vietnam National Institute of Educational Sciences, which is: (i) To apply the models of Eysenck’s three meanings of intelligence and Sternberg’s triarchic theory to design test to evaluate and measure Analytical, Creative and Practical Intelligences; each intelligence consisted of three areas Language, Quantitative and Space. The test was divided into 12 blocks to measure of competencies of Language (I, II and IX blocks), Logic – Mathematics (III, IV, V and XII blocks), Problem-Solving (X and XI blocks), and Creativity (VI and VIII blocks); (ii) To determine the intellectual potential of candidates by applying Item Response Theory and Rasch model. This would help diagnose children’s potential and readiness for these 4 competencies (Language, Logic – Mathematics, Problem-Solving, and Creativity).
THE DYNAMICS OF R&D ACTIVITIES IN ROMANIA WITHIN THE EUROPEAN CONTEXT

This study examines the evolution of R&D activities in Romania through a complex structural analisys. By linking the R&D intensity and the level of economic development, we came with a new clasification of states in the EU, thus generating a framework for a pragmatic analisys of the Romania’s situation in the European contex. Also, we studied the dynamics of the R&D activities in Romania over the 2005-2010 period in a comprehensive structural approach (types of research, sectors of performance, funding), focusing on the way this tendancies are helping Romania’s real convergence to the EU average. In our attempt to tackle the root causes of the deficiences we have identified, the analisys went forward, approaching the isues of cooperation and colaboration of SMEs in performing R&D activities. In order to catch up, Romania has to invest masively in R&D, because, as the new economy emerges – the knowledge-based economy – the sources and resources for future developments will fundamentaly rely on the capacity of organisations, and the society as a whole, to generate knowledge with economic value. Our results ephasize that the economic development and wealth creation are positively correlated with the amount of gross R&D expenses, thus underlineing that in order to stimulate the overall R&D activities, the prior actions must adress the private sectors. Also, the governmental intentives should target the needs and characteristics of SMEs.
Efficient scatter model for simulation of ultrasound images from computed tomography data

Background and motivation: Real-time ultrasound simulation refers to the process of computationally creating fully synthetic ultrasound images instantly. Due to the high value of specialized low cost training for healthcare professionals, there is a growing interest in the use of this technology and the development of high fidelity systems that simulate the acquisitions of echographic images. The objective is to create an efficient and reproducible simulator that can run either on notebooks or desktops using low cost devices. Materials and methods: We present an interactive ultrasound simulator based on CT data. This simulator is based on ray-casting and provides real-time interaction capabilities. The simulation of scattering that is coherent with the transducer position in real time is also introduced. Such noise is produced using a simplified model of multiplicative noise and convolution with point spread functions (PSF) tailored for this purpose. Results: The computational efficiency of scattering maps generation was revised with an improved performance. This allowed a more efficient simulation of coherent scattering in the synthetic echographic images while providing highly realistic result. We describe some quality and performance metrics to validate these results, where a performance of up to 55fps was achieved. Conclusion: The proposed technique for real-time scattering modeling provides realistic yet computationally efficient scatter distributions. The error between the original image and the simulated scattering image was compared for the proposed method and the state-of-the-art, showing negligible differences in its distribution.
Correlated Parameters in Driving Behavior Models

Behavioral parameters in car following and other models of driving behavior are expected to be correlated. An investigation is conducted into the effect of ignoring correlations in three parameters of car-following models on the resulting movement and properties of a simulated heterogeneous vehicle traffic stream. For each model specification, parameters are calibrated for the entire sample of individual drivers with Next Generation Simulation trajectory data. Factor analysis is performed to understand the pattern of relationships between parameters on the basis of calibrated data. Correlation coefficients have been used to show statistically significant correlation between the parameters. Simulation experiments are performed with vehicle parameter sets generated with and without considering such correlation. First, parameter values are sampled from the empirical mass functions, and simulated results show significant difference in output measures when parameter correlation is captured (versus ignored). Next, parameters are sampled under the assumption that they follow the multivariate normal distribution. Results suggest that the use of parametric distribution with known correlation structure may not sufficiently reduce the error due to ignoring correlation if the underlying assumption does not hold for both marginal and joint distributions.
Warthin Tumour-Associated Synchronous Neoplasia and COVID-19: Does SARS-CoV-2 Infection Increase the Risk of Benign Tumours and Cancer?

Purpose: This review determined the prevalence of Warthin tumour (WT)-associated synchronous neoplasia or tumours (STs) in a bid to identify high-risk anatomical sites of tumourigenesis. It also highlights hypothetical pathways of SARS-CoV-2-associated tumourigenesis. Hypothesis: It is hypothesized that SARS-COV-2-host angiotensin-converting enzyme 2 (ACE2) complex induces cytokine release syndrome and thrombocytopenia with concomitant stimulation of sialadenitis, fibrosis, hyperplasia, metaplasia and premalignant tumours. Method: Peer-reviewed articles published between 2002 and 2020 on databases such as Google Scholar, Scopus, PubMed Central, and EMBASE were selected using the PRISMA standard. Search keywords included WT, head and neck cancer, and WT-associated STs. T-test analysis was performed for ages. Results: There were 146 cases and 48 classified types of WT-associated STs. The male to female ratio of occurrence was 6.6:1. The mean age of males with STs (63.5± 2.42 years) was higher than that of their female counterparts (47.11± 6.2 years; p= 0.006). Subgroups of STs included head and neck tumours (55.4%), lymphoma (19.2%), lungs (13.0%), breast (3.4%), and prostate (2.1%) cancers, among others. Of the 81 cases of head and neck STs, 44.4% were malignant and 55.6% were benign. Conclusion: This review revealed that WT-associated STs are prevalent in males and the head and neck region. Due to high expression of ACE2 in normal tissues and tumour cells, this review suggests that severe and critical COVID-19 diseases could induce DNA damage and genetic instability which could increase the risk of cancer, especially in the head and neck region with pre-existing oncoviruses. Thus, patients with severe and critical COVID-19 should be followed-up.
Simple and cost effective wavelength setting and monitoring method using software-based wavelength estimation for WDM pluggable optical transceiver

In this paper, we propose a wavelength locker free, simple and cost effective wavelength setting and monitoring method that estimates wavelength on a software basis. This method uses preliminarily measured wavelengths at selected sets of drive current and device temperature, which are stored in the memory of the transceiver module. We then determine the relationship among the wavelength, the drive current, and the device temperature as a linear function. This function enables us to estimate the wavelength by setting and monitoring the drive current and device temperature. The same procedure is done for output power estimation. We measured the wavelength estimation accuracy using two practical DFB-LDs and confirmed that the discrepancy between the estimated wavelength and the measured wavelength was less than ±1 GHz.
Driving Tasks Transfer Using Deep Reinforcement Learning for Decision-Making of Autonomous Vehicles in Unsignalized Intersection

Knowledge transfer is a promising concept to achieve real-time decision-making for autonomous vehicles. This paper constructs a transfer deep reinforcement learning (RL) framework to transform the driving tasks in the intersection environments. The driving missions at the unsignalized intersection are cast into a left turn, right turn, and running straight for automated vehicles. The goal of the autonomous ego vehicle (AEV) is to drive through the intersection situation efficiently and safely. This objective promotes the studied vehicle to increase its speed and avoid crashing other vehicles. The decision-making policy learned from one driving task is transferred through three transfer rules in another driving mission and evaluated. Simulation results reveal that the decision-making strategies related to similar tasks are transferable and have a high success rate. It indicates that the presented control framework could reduce time consumption and realize online implementation. Therefore, the transfer RL concept is helpful for establishing the real-time decision-making policy for autonomous vehicles.
Structural Investigations in Electrochromic Vanadium Pentoxide Thin Films

Herein, the correlation between the texture coefficient and the electrochromism in vanadium pentoxide nanostructured films with orthorhombic symmetry obtained by spray pyrolysis technique is reported. From a microstructural point of view, X‐ray diffraction depicts that the size of the crystalline domains, evaluated from both Scherrer equation and Rietveld refinement, depends on the texture coefficient, which further implies that the dislocation density is related to the texture coefficient. From the applications point of view, a high texture coefficient is found to facilitate the insertion of charge, thus reaching a density of −73.30 and 70.76 mC cm−2 on coloration and bleaching, respectively. On the contrary, a small texture coefficient can provide an inserted charge density of only −4.38 and 3.79 mC cm−2 on coloration and bleaching. Moreover, a higher texture coefficient induces a higher transmittance contrast under an applied voltage of ±1 V, reaching 18.48% for the most textured sample. It is clear that the texture parameter is a key factor in the context of both microstructural parameters and electrochromic performances.
Adaptive Identification and Control of Hysteresis in Piezoelectric Actuators

Smart actuators, such as piezoceramic actuators, magnetostrictive actuators, and shape memory alloy actuators are widely used in applications of micrositioning and vibration control. Piezoelectric (PZT) actuators having the characteristic of infinitely small displacement resolution are popularly applied as actuators in precision positioning systems. However, the tracking control accuracy of the precision positioning systems is difficultly achieved because of its nonlinear hysteresis effect. Hence, it is important to take hysteresis effect into consideration for improving the trajectory tracking performance. In this paper, in order to capture the hysteresis nonlinearity in the PZT actuators, the Hammerstein model is put to use. The fuzzy control algorithm is used to identify the weighing values. The adaptive inverse controller based on adaptive fuzzy inference is used to track the PZT actuator. We firstly identify the weighting values of the Hammerstein model in situ using the multi-mode fuzzy control algorithm based on the error between reference displacement and actual displacement of the actuator, and then calculate the weighting values and threshold values of the Hammerstein model. Finally, we obtain the feed-forward input voltage. The stability of the controller in the presence of the estimated state is demonstrated. The experimental results show the performance is effectively improved under the intelligent control method.
Device-circuit co-design approaches for Multi-gate FET technologies

Planar CMOS technology has reached its scaling limits at the 22nm node, where it is increasingly difficult to design high-performance low-power devices with good yield in the presence of global and local process variations. Multi-gate FET technology is the best alterative that can extend scaling to the sub-10nm technology nodes with minimum additional processing costs. However, owing to the non-planar nature of multi-gate devices, several challenges in process technology, CAD/layout design, and testing need to be addressed to enable design portability from planar to multi-gate FET chips. This thesis strives to bridge the device-circuit co-design gap that has severely limited predictive modeling of circuits using emerging multi-gate/FinFET devices during early stages of process technology development. First, the traditional notion of leveraging independent-gate devices for power reduction is challenged, by contrasting logic gates having symmetric gate-workfunction shorted/independent-gate FinFETs alongside logic gates having asymmetric gate-workfunction shorted-gate FinFETs, in a high-performance process. The superiority of asymmetric gate-workfunction devices is demonstrated by comparing leakage-delay trends, and the downsides of logic gates employing a mix of shorted and independent-gate devices is brought out from a testing/fault modeling perspective. Next, efficient methodologies are developed for unifying the layout and process simulation worlds, in order to breach the ‘many-device TCAD barrier’ that has limited the applicability of 3D-TCAD modeling for over a decade. Here, important bottlenecks for layout to 3D circuit structure generation, such as the time and memory complexity of 3D process simulation, are identified. To bypass the latter, a radically new layout-/process-/device-independent approach based on
Research Article: Effect of curcumin on growth performance and antioxidant stress status of Nile tilapia (Oreochromis niloticus)

In the present study, the anti-oxidative effects of dietary curcumin (CUR) were evaluated in Nile tilapia (Oreochromis niloticus) challenged with cold temperature condition in floating cages system. Fish with an average weight of 22±0.5 g were divided into four groups and fed daily with free basal diet (control); 1, 2, and 3% CUR for a five-week period. Oxidative status and growth parameters were measured. Results indicated that CUR supplementation markedly enhanced antioxidative status which was noticed by enhanced superoxide dismutase, glutathione peroxidase, catalase and lipid peroxidase activities. In addition, improvement in growth performance including body mass gain, specific growth rate, condition factor and feed conversion ratio were noticed. The expression of related HSP70, IL-1β and CC5 were markedly up-regulated over the control. Conclusively, dietary CUR markedly enhanced anti-oxidative status all over experimental period, proposing its usage as natural anti-cold stress supplement and thus could increase time spent in outdoor culture systems through improving tolerance to cold water temperature.
Successful implementation of ERP systems: a case study of an international automotive manufacturer

Given the substantial investments of time, money and other resources, as well as the technical and organisational risks involved it is imperative to understand the factors that facilitate/inhibit the success of ERP implementations. Using a case study methodology grounded in business process change theory, this paper attempts to identify the critical factors that account for the success of ERP implementation at an international automobile manufacturer. Understanding such effects will enable managers to be more proactive and better prepared for ERP implementation.