Miracle-dz/UniFAR-FTUs huggingface dataset:
Parameter Estimation for VSI-Fed PMSM Based on a Dynamic PSO With Learning Strategies

A dynamic particle swarm optimization with learning strategy (DPSO-LS) is proposed for key parameter estimation for permanent magnet synchronous machines (PMSMs), where the voltage-source inverter (VSI) nonlinearities are taken into account in the parameter estimation model and can be estimated simultaneously with other machine parameters. In the DPSO-LS algorithm, a novel movement modification equation with variable exploration vector is designed to effectively update particles, enabling swarms to cover large areas of search space with large probability and thus the global search ability is enhanced. Moreover, a Gaussian-distribution-based dynamic opposition-based learning strategy is developed to help the pBest jump out local optima. The proposed DPSO-LS can significantly enhance the estimator model accuracy and dynamic performance. Finally, the proposed algorithm is applied to multiple parameter estimation including the VSI nonlinearities of a PMSM. The performance of DPSO-LS is compared with several existing PSO algorithms, and the comparison results show that the proposed parameters estimation method has better performance in tracking the variation of machine parameters effectively and estimating the VSI nonlinearities under different operation conditions.
Effects of staphylococcal enterotoxin on ciliary activity and histology of the sinus mucosa

Conclusion. The results of our study suggest that Staphylococcus aureus enterotoxin A (SEA) may play an important role in the pathogenesis of rhinosinusitis by ciliostatic effects at high concentrations, and by a different mechanism at low concentrations. Objectives. To investigate the in vitro effects of SEA on ciliary activity and its in vivo effects on histology of the sinus mucosa. Materials and methods. The in vitro effects of SEA on ciliary activity at different concentrations and exposure time were investigated using maxillary sinus mucosa harvested from experimental rabbits. After in vivo instillation of different concentrations (high and low dose) of SEA into the maxillary sinus, ciliary beat frequency (CBF) and histologic findings of the maxillary sinus mucosa were examined. Results. After exposure to low doses of SEA (0.03 and 0.3 ng/ml), CBF did not decrease, but after exposure to high doses of SEA (1.5, 3, and 30 ng/ml), CBF decreased significantly as a function of time. At 24 h after instillation of high-dose SEA (30 ng/ml) into the sinus, CBF decreased significantly and rhinosinusitis was induced after 7 days. Although no alteration was observed in the CBF of the sinus mucosa after instillation of low-dose SEA (0.3 ng/ml), histological findings of rhinosinusitis including subepithelial edema and inflammatory cell infiltration were observed.
Hardware and software architecture of a mobile robot with anthropomorphic arm

The article presents the hardware and software architecture of the control of a mobile robot with anthropomorphic arm. The vehicle has an embedded system based in OS Linux, where is controlled all the functions of the vehicle using digital inputs and outputs, analog inputs and ports RS232. The architecture of the software in this system uses daemons; inter process communication (shared memory, FIFO arrays and semaphores) and an apache server to communicate with the remote control station. The remote station is a PC, where can be visualized three cameras, and to monitor and control all function of the robot with a gamepad or joystick. The architecture has been tested obtaining good results. It also presents a really good flexibility to integrate with different remote control stations in multiple platforms with security and standard protocols.
Bacillus anthracis tagO Is Required for Vegetative Growth and Secondary Cell Wall Polysaccharide Synthesis

ABSTRACT Bacillus anthracis elaborates a linear secondary cell wall polysaccharide (SCWP) that retains surface (S)-layer and associated proteins via their S-layer homology (SLH) domains. The SCWP is comprised of trisaccharide repeats [→4)-β-ManNAc-(1→4)-β-GlcNAc-(1→6)-α-GlcNAc-(1→] and tethered via acid-labile phosphodiester bonds to peptidoglycan. Earlier work identified UDP-GlcNAc 2-epimerases GneY (BAS5048) and GneZ (BAS5117), which act as catalysts of ManNAc synthesis, as well as a polysaccharide deacetylase (BAS5051), as factors contributing to SCWP synthesis. Here, we show that tagO (BAS5050), which encodes a UDP-N-acetylglucosamine:undecaprenyl-P N-acetylglucosaminyl 1-P transferase, the enzyme that initiates the synthesis of murein linkage units, is required for B. anthracis SCWP synthesis and S-layer assembly. Similar to gneY-gneZ mutants, B. anthracis strains lacking tagO cannot maintain cell shape or support vegetative growth. In contrast, mutations in BAS5051 do not affect B. anthracis cell shape, vegetative growth, SCWP synthesis, or S-layer assembly. These data suggest that TagO-mediated murein linkage unit assembly supports SCWP synthesis and attachment to the peptidoglycan via acid-labile phosphodiester bonds. Further, B. anthracis variants unable to synthesize SCWP trisaccharide repeats cannot sustain cell shape and vegetative growth. IMPORTANCE Bacillus anthracis elaborates an SCWP to support vegetative growth and envelope assembly. Here, we show that some, but not all, SCWP synthesis is dependent on tagO-derived murein linkage units and subsequent attachment of SCWP to peptidoglycan. The data implicate secondary polymer modifications of peptidoglycan and subcellular distributions as a key feature of the cell cycle in Gram-positive bacteria and establish foundations for work on the molecular functions of the SCWP and on inhibitors with antibiotic attributes.
Single-channel compressive sampling of electrical data for non-intrusive load monitoring

Non-intrusive load monitoring (NILM) extracts information about how energy is being used in a building from electricity measurements collected at a single location. Obtaining measurements at only one location is attractive because it is inexpensive and convenient, but it can result in large amounts of data from high frequency electrical measurements. Different ways to compress or selectively measure this data are therefore required for practical implementations of NILM. We explore the use of random filtering and random demodulation, techniques that are closely related to compressed sensing, to offer a computationally simple way of compressing the electrical data. We show how these techniques can allow one to reduce the sampling rate of the electricity measurements, while requiring only one sampling channel and allowing accurate NILM performance. Our tests are performed using real measurements of electrical signals from a public data set, thus demonstrating their effectiveness on real appliances and allowing for reproducibility and comparison with other data management strategies for NILM.
Selective or nonselective endothelin antagonists in porcine hypoxic pulmonary hypertension?

We evaluated the hemodynamic effects of various endothelin (ET) receptor antagonists using selective and non-selective ETA and ETB receptor blockade in hypoxic pigs in vivo. BMS-182874 (10 mg/kg i.v.) TBC-11251z (10 mg/kg i.v.), selective ETA receptor antagonists, attenuated hypoxia (FiO2 0.1)-evoked increase in pulmonary arterial pressure and pulmonary vascular resistance. Bosentan (10 mg/kg i.v.) a non-selective ETA and ETB receptor antagonist, cause essentially similar effects as ETA antagonism alone. No effects were observed after selective ETB blockade using BQ-788 (total dose 1 mg i.v.). The vasoconstrictor effect of exogenous ET was most effectively antagonized by TBC-11251z, followed by BMS-182874 and bosentan. The pulmonary vasodilator effect exerted by exogenous ET during hypoxia was reversed by BQ-788 and bosentan but not by TBC-11251z or BMS-182874. We can therefore conclude that ET contributes to hypoxic pulmonary vasoconstriction primarily through ETA receptor activation.
Digital photogrammetry and laser scanning in cultural heritage survey

A joint project between the Interdept. Research Center of the University of Padova (CIRGEO), a research group of Istituto Tecnico per la Ricerca Scientifica e Tecnologica (IRST) of Trento and the Visual Information Technology group (VIT) of the NRC Canada, in Ottawa, has been undertaken, with the main aim to create a set of 3D models of an historical building by means of photogrammetry and laser scanning-based surveying techniques. Beside the investigation of their geometric accuracy, a photorealistic representation suited for interactive navigation and manipulation in VR environment was a further objective of thie project. To this aim, the main room in the Aquila tower in Buonconsiglio castle (Trento, Italy) was choosen, as it featured a relative simple geometry along with artistically and historically very precious frescoed walls. In this paper a description of both surveying and modeling procedures adopted and results of a comparison test between employed techniques are presented.
Light emission efficiency and imaging performance of Gd2O2S: Eu powder scintillator under x-ray radiography conditions.

PURPOSE To evaluate Gd2O2S:Eu powder phosphor as a radiographic image receptor and to compare it to phosphors often used in radiography. Gd2O2S:Eu is nonhygroscopic, emitting red light with decay time close to that of Gd2O2S:Tb. METHODS The light intensity emitted per unit of x-ray exposure rate (absolute luminescence efficiency) was measured for laboratory prepared screens with coating thicknesses of 33.1, 46.4, 63.1, 78.3, and 139.8 mg/cm2 and tube voltages ranging from 50 to 140 kVp. Parameters related to image quality such as the modulation transfer function (MTF) and the detective quantum efficiency (DQE) were also experimentally examined. In addition, a previously validated Monte Carlo code was used to estimate intrinsic x-ray absorption and optical properties, as well as the MTF and the Swank factor (I) of the Gd2O2S:Eu scintillators. RESULTS Gd2O2S:Eu light intensity was found higher than that of single CsI:T1 crystal for tube voltages up to 100 kVp. The MTF and the DQE were found to be comparable with those of Gd2O2S:Tb and CsI:T1 screens. MTF estimated by the Monte Carlo code was found very close to the experimental MTF values. Gd2O2S:Eu showed peak emission in the wavelength range 620-630 nm. Its emission spectrum was excellently matched to various optical detectors (photodiodes, photocathodes, CCDs, and CMOS) employed in flat panel detectors. CONCLUSIONS Gd2O2S:Eu is an efficient phosphor potentially well suited to radiography and especially to some digital detectors sensitive to red light.
Probabilistic contour mapping using oriented gradient features and SVM-bagging

In this paper, we propose a supervised approach to find out the probabilistic mapping of semantic contours in color images. We prepare a new color image modifying the RGB color planes to incorporate reasonable within-object contrasts in all the color planes. Color gradient based features are then extracted from this altered version of color image. Next, multiple support vector machines (SVMs) are trained with disjoint sets of gradient feature sets. Finally, probabilistic decisions on the test images are made using sigmoid estimation based posterior calculations on the ensemble bagging of SVMs. We demonstrate that this SVM-bagging system is capable of boosting the probability of the pixels near the contour regions compared to that of non-contour ones.
Time-Varying Beta and the Value Premium

We model conditional market beta and alpha as flexible functions of state variables identified via a formal variable-selection procedure. In the post-1963 sample, the beta of the value premium comoves strongly with unemployment, inflation, and the price–earnings ratio in a countercyclical manner. We also uncover a novel nonlinear dependence of alpha on business conditions: It falls sharply and even becomes negative during severe economic downturns but is positive and flat otherwise. The conditional capital asset pricing model (CAPM) performs better than the unconditional CAPM, but this does not fully explain the value premium. Our findings are consistent with a conditional CAPM with rare disasters.
A Consolidated CLIPER Model for Improved August–September ENSO Prediction Skill

A prime challenge for ENSO seasonal forecast models is to predict boreal summer ENSO conditions at lead. August‐September ENSO has a strong influence on Atlantic hurricane activity, Northwest Pacific typhoon activity, and tropical precipitation. However, summer ENSO skill is low due to the spring predictability barrier between March and May. A ‘‘consolidated’’ ENSO‐climatology and persistence (CLIPER) seasonal prediction model is presented to address this issue with promising initial results. Consolidated CLIPER comprises the ensemble of 18 model variants of the statistical ENSO‐CLIPER prediction model. Assessing August‐September ENSO skill using deterministic and probabilistic skill measures applied to cross-validated hindcasts from 1952 to 2002, and using deterministic skill measures applied to replicated real-time forecasts from 1900 to 1950, shows that the consolidated CLIPER model consistently outperforms the standard CLIPER model at leads from 2 to 6 months for all the main ENSO indices (3, 3.4, and 4). The consolidated CLIPER August‐September 1952‐2002 hindcast skill is also positive to 97.5% confidence at leads out to 4 months (early April) for all ENSO indices. Optimization of the consolidated CLIPER model may lead to further skill improvements.
Improved System for Inspecting Mine fi elds and Residual Explosives

A next generation system, as an upgrade of a robotic mobile system for anti-personnel landmine clearance, was considered. In contrast to the first generation system where the fast neutron activation method and the associated alpha particle imaging (API) was supposed to be used for finding the residual explosives and/or landmines, in the next generation system fast neutrons (FN) was considered to be used only for the confirmation of the explosive in the suspected object previously found by the ground penetrating radar (GPR), metal detector (MD) and infrared imaging (IR). Such system is expected to have the acceptable price and the optimal demining vehicle speed of 10 cm/s. In contrast to the previous system only one neutron generator (NG) is needed. In order to study the possibility of FN to confirm the presence of TNT explosive in the real environment the tests were made with the soil of different moisture contents. Comparative study was done by using the cm cm BGO, cm cm and cm cm NaI(Tl) gamma-ray detectors. Although nitrogen was easily detected in larger amount of TNT explosive, its signal was weak in detection of Anti-Personal (AP) mine like DLM2.4. The presences of soil additionally diminish the possibility of nitrogen detection even in the Anti-Tank mines (AT).
Investigation of color shift of LEDs-based lighting products

LED has the potential to revolutionize the lighting industry with their long lifetime and high efficacy. However, the long lifetime claimed by the manufacturers is often based solely on the estimated lumen depreciation and this is insufficient since the color shift of LEDs products is another important issue that need to be considered for LEDs products in order for them to perform their intended function. It has been shown through DOE's CALIPER program and GATEWAY program that color aging during LED products lifetime can be so extensive that it could be considered as a failure to the end-user. Nevertheless, although performance evaluation based on LED lumen depreciation had been well documented and established, literature on the performance evaluation based on color shift is very limited. This is because the mechanism for color shift is not well understood, nor the measurement/characterization methods. Therefore, an investigation of color aging over lifetime is urgently needed. Therefore, this paper will attempt to address the color shift of the plastic lenses and proposed a model for predicting color shift in LEDs lenses.
Dominating Bipartite Subgraphs in Graphs

A graph G is hereditarily dominated by a class D of connected graphs if each connected induced subgraph of G contains a dominating induced subgraph belonging to D. In this paper we characterize graphs hereditarily dominated by classes of complete bipartite graphs, stars, connected bipartite graphs, and complete k-partite graphs.
Connective-Based Measuring of the Inter-Annotator Agreement in the Annotation of Discourse in PDT

We present several ways of measuring the inter-annotator agreement in the ongoing annotation of semantic inter-sentential discourse relations in the Prague Dependency Treebank (PDT). Two ways have been employed to overcome limitations of measuring the agreement on the exact location of the start/end points of the relations. Both methods -- skipping one tree level in the start/end nodes, and the connective-based measure - are focused on a recognition of the existence and of the type of the relations, rather than on fixing the exact positions of the start/end points of the connecting arrows.
Privacy Protection in Passive Network Monitoring: An Access Control Approach

"On the Internet, nobody knows you are a dog" according to the famous Pat Steiner cartoon in The New Yorker, which has been very frequently cited in order to emphasize the potential for anonymity and privacy that the Internet was supposed to offer. However, the reality seems to be rather different. Among the several threats to personal privacy caused by the emerging Information and Communication Technologies, activities related to passive network monitoring hold an outstanding position. This paper discusses from an access control point of view the issue of privacy protection regarding data originating from passive network monitoring. It proposes a semantic information model, along with the underlying enforcement framework, for the real-time determination of access control provisions as stem from the personal data protection legislation and depending on the particular characteristics of every request for monitoring data disclosure.
Maximizing the income for wind power plant integrated with a battery energy storage system using dynamic programming

In this paper, a wind power selling strategy based on a dynamic programming algorithm (DP) is presented to maximize the income for wind power plant integrated with a battery energy storage system (BESS). Since electricity market prices and wind power vary throughout the day, the idea is to store energy during low price-periods and sell it when prices are high. The proposed strategy aims to take advantage of the price variability in order to generate extra income and consequently the operational profit by carefully adjusting charging/discharging of the BESS while satisfying the operational constraints. Twofold benefits of the strategy lie in efficient energy selling along with the constrained based optimal operation of BESS. The strategy has been analyzed for a few BESSs with a range of energy and power capacities, and income improvement over a trivial strategy is calculated. Simulation results depict the effectiveness of the proposed strategy validated with real-world wind farm data and electricity market prices.
Training at Altitude in Practice

There can be little doubt that training at altitude is fundamental to preparing an athlete for competition at altitude. However the value of training at altitude for competition at sea level appears on the one hand to lack total acceptance amongst sports scientists; and on the other to hold some cloak of mystery for coaches who have yet to enjoy first hand experience. The fact is that very few endurance athletes will ignore the critical edge which altitude training affords. Each fraction of a percentage of performance advantage gained through methods which are within the rules of fair play in sport, may shift the balance between failure and achievement. Moreover, there is growing support for application of training at altitude for speed-related disciplines. This paper aims to demystify the subject by dealing with practical aspects of training at altitude. Such aspects include a checklist of what should and should not be done at altitude, when to use altitude relative to target competitions, and specific training examples.
High-Performance Personalized Heartbeat Classification Model for Long-Term ECG Signal

Long-term electrocardiogram (ECG) has become one of the important diagnostic assist methods in clinical cardiovascular domain. Long-term ECG is primarily used for the detection of various cardiovascular diseases that are caused by various cardiac arrhythmia such as myocardial infarction, cardiomyopathy, and myocarditis. In the past few years, the development of an automatic heartbeat classification method has been a challenge. With the accumulation of medical data, personalized heartbeat classification of a patient has become possible. For the long-term data accumulation method, such as the holter, it is difficult to obtain the analysis results in a short time using the original method of serial design. The pressure to develop a personalized automatic classification model is high. To solve these challenges, this paper implemented a parallel general regression neural network (GRNN) to classify the heartbeat, and achieved a 95% accuracy according to the Association for the Advancement of Medical Instrumentation. We designed an online learning program to form a personalized classification model for patients. The achieved accuracy of the model is 88% compared to the specific ECG data of the patients. The efficiency of the parallel GRNN with GTX780Ti can improve by 450 times.
Soluble P-selectin is released into the coronary circulation after coronary spasm.

BACKGROUND The glycoprotein P-selectin is an adhesion molecule involved in the property change of leukocytes at the initiation of the inflammatory process. The purpose of the present study was to determine whether acute myocardial ischemia induced by coronary spasm causes an acute inflammatory response in the coronary circulation. METHODS AND RESULTS We examined plasma soluble P-selectin levels in the coronary sinus and the aortic root simultaneously in 16 patients with coronary spastic angina before and after left coronary artery spasm induced by intracoronary injection of acetylcholine and in 15 patients with stable exertional angina before and after acute myocardial ischemia induced by rapid atrial pacing. Ten control patients with chest pain but normal coronary arteries and no coronary spasm also received intracoronary acetylcholine. Plasma soluble P-selectin levels were increased significantly in the coronary sinus (32.8 +/- 3.6 to 52.8 +/- 5.9 ng/mL, P < .001) and in the aortic root (34.6 +/- 3.7 to 41.9 +/- 4.4 ng/mL, P < .05) after the attacks in the coronary spastic angina group but remained unchanged in the stable exertional angina group after the attacks and in the control group after the administration of acetylcholine. Furthermore, the coronary sinus-arterial difference of soluble P-selectin increased significantly after the attacks in the coronary spastic angina group (-1.8 +/- 2.2 to 10.9 +/- 2.7 ng/mL, P < .001). CONCLUSIONS Our data indicate that soluble P-selectin is released into the coronary circulation after coronary artery spasm. We conclude that coronary artery spasm may induce the leukocyte adhesion in the coronary circulation and may lead to myocardial damage.