Miracle-dz/UniFAR-FTUs huggingface dataset:
A switching adaptive controller for the reduction of commutation torque ripple in BLDCM drives

A switching adaptive controller with commutation delay compensation is proposed to control the torque output and to reduce commutation torque ripple in uncertain brushless DC motor (BLDCM) drives. After deriving the error dynamics, the conduction and commutation periods of the drive is taken into account separately, and two different controllers are designed for each operation region of the current loop of BLDCM drives. All the system constants in the mathematical model of the drive are considered uncertain, and adaptation rules are derived for these unknown parameters. The stability of the closed-loop system is shown by a common Lyapunov function, and the convergence of the current error to zero is proved as well. Finally, a commutation delay compensation scheme is introduced and added to the controller structure. Various numerical simulations are performed for different working conditions to test the viability of the proposed controller.
Time-of-flight depth image enhancement using variable integration time

Time-of-Flight (ToF) cameras are used for a variety of applications because it delivers depth information at a high frame rate. These cameras, however, suffer from challenging problems such as noise and motion artifacts. To increase signal-to-noise ratio (SNR), the camera should calculate a distance based on a large amount of infra-red light, which needs to be integrated over a long time. On the other hand, the integration time should be short enough to suppress motion artifacts. We propose a ToF depth imaging method to combine advantages of short and long integration times exploiting an imaging fusion scheme proposed for color imaging. To calibrate depth differences due to the change of integration times, a depth transfer function is estimated by analyzing the joint histogram of depths in the two images of different integration times. The depth images are then transformed into wavelet domains and fused into a depth image with suppressed noise and low motion artifacts. To evaluate the proposed method, we captured a moving bar of a metronome with different integration times. The experiment shows the proposed method could effectively remove the motion artifacts while preserving high SNR comparable to the depth images acquired during long integration time.
Full-duplex single fiber transmission using FSK downstream and IM remote upstream Modulations for fiber-to-the-home

Full-duplex single fiber bidirectional transmission, using frequency-shift-keying modulation for downstream, by direct modulation of a tunable laser, and intensity modulation for upstream, in a wavelength-division-multiplexing passive optical access network is demonstrated. The optical network unit, located at the end user premises, reflects and orthogonally remodulates the received light. Rayleigh scattering effects are reported and analyzed. The system shows proper operation up to 1 Gb/s at 30-km reach.
Centrality based congestion controlled routing protocol for social opportunistic networks

Opportunistic networks (Oppnets) use the Store, Carry, and Forward technique for routing of messages. This technique can increase the prospects of message delivery but it is resource intensive as messages are kept in node's buffer until an appropriate next hop node is find out. This may lead to increased overhead and buffer overflow that causes congestion. In view of this, a scheme based on centrality and message parameters named as Centrality based Congestion Controlled Routing Protocol (CCCRP) has been proposed in this paper. It allows a receiver node to accept the message of a sender node whose centrality is high and to-be-sent message carries an "importance" as compared to others from a set of neighbouring sender nodes. The CCCRP is compared with Epidemic protocol in respect of messages dropped and overhead ratio parameters. Results obtained indicate that CCCRP outperforms Epidemic protocol in terms of the aforementioned parameters.
Magnetic Anisotropy in Bicomponent Self-Assembled Ni and Ni-Pd Nanowires Studied by Magnetic Resonance Spectroscopy

Self-ordered arrays of Ni, Ni(50)Pd(50), and Ni(78)Pd(22) nanowires were synthesized by simultaneous electrochemical deposition of Ni and Pd components into porous templates of anodic aluminum oxide using alternating current. This paper is focused on the interplay of structure and chemical composition of Ni and Ni-Pd bicomponent nanowires arrays and the peculiarities of its magnetic anisotropy.
Professional comportment: the missing element in nursing practice.

PURPOSE The aim of this concept analysis of professional comportment is to elucidate the dimension of nursing practice that fosters cooperation, collaboration, effective communication, and team cohesion among nurses. BACKGROUND Professional comportment is a concept that has not been developed or analyzed, and its integration into nursing practice is unclear and not specified. The body of knowledge concentrating on the spectrum of professional comportment, civility, and lateral violence is presently incomplete. Analyzing and developing the concept of professional comportment will satisfy a gap in the literature. A concept analysis of professional comportment will clarify for the nurse the power of words, behaviors, and communication needed to achieve effective communication and civility. SOURCE The Walker and Avant framework for concept analysis was used to analyze the concept of professional comportment. An electronic review of the literature through the Cumulative Index to Nursing and Allied Health Literature, Health Sources, Medical Complete, and ProQuest was conducted. This review rendered approximately 300 articles, of which 85 were reviewed. Eighteen articles informed comportment as a definition and are utilized in this analysis. The individual nurse is the level of focus in the analysis, not the organizational culture. CONCLUSION Comportment is defined as a dignified manner or conduct. Professional comportment is critical in determining a nurse's effectiveness in relating, communicating, and collaborating with colleagues and members of the healthcare team. In the absence of professional comportment, a culture of incivility, nurse aggression, and compromised patient safety will emerge. Self-regulation and individual accountability are sequelae to professional comportment. The personal assimilation of professional comportment promotes mutual respect, harmony, commitment, and collaboration. The nurse, patient, and healthcare team are the beneficiaries of a nurse who demonstrates professional comportment.
BIOGENIC AMINES CONTENT OF POULTRY BREAST STORED UNDER DIFFERENT CONDITIONS AT + 4°C FROM TWO DIFFERENT INDUSTRIAL GENOTYPE CHICKENS

In this experimental work, forty breast chickens of two different industrial genotype, were analysed at 4, 8, 11 and 15 days from slaughtering. All breast chickens were divided in two groups. A group was stored at 4°C, and the other was stored at 4°C in sterilised water added with antibiotic (400 mg/l Enrofloxacin). BAs quantitative determination was carried out by means of HPLC, with spectrophotometric-UV detection. The amines were extracted in HClO4 and derivatised by dansylchloride. In the samples stored in sterile water added with antibiotic, no bacterial growth was observed until the end of the experimental period. Significant differences in BAs accumulation were observed between the two samples groups, while BAs content was different during time. In fact, in samples stored in sterilised water added with the antibiotic, the presence of some BAs, such as spermine and spermidine, was revealed, probably due to the action of tissue enzymes.
Evaluating the reproductive performance of British beef and dairy herds using national cattle movement records

National cattle movement databases provide a valuable opportunity to monitor the reproductive performance of breeding cattle on an industry-wide scale. In this analysis, records from the Cattle Tracing System database were used to derive key measures of reproductive efficiency for British beef and dairy herds, including calving spread, age at first calving, calving interval, culling rate and calf mortality rate. At the animal level, only 8.5 per cent of beef heifers and 6.9 per cent of dairy heifers calved by the target age of 24 months. The average calving interval was 394 days for beef dams (median: 371) and 426 days for dairy dams (median: 400). Differences in performance were noted between cattle breeds. An estimated 43.9 per cent calves born in dairy herds were crossbreed beef animals, which may limit the availability of replacement dairy heifers. At the herd level, calving spread and calf mortality rates increased with herd size, while average age at first calving, calving interval, and crossbreeding generally decreased with herd size. Dam age, calving month, breed and twinning were significant risk factors for culling and calf mortality at the animal level. Wide variation in performance between individual herds highlights the potential for improving the efficiency of British cattle production.
Multi-objective optimization for creating a low-carbon logistics system through community-based action

Against global warming and environmental degradation, many interests have been paid to the studies popularly termed reverse, closed, green or sustainable logistics (Fiksel, 2010; Nikolopoulou and Ierapetritou, 2012; Srivastava, 2007). Recently, we concerned with a reverse logistics optimization in a practical manner (Shimizu and Sakaguchi, 2013) and deployed an idea for realizing an infrastructure aligned with sustainable development. Actually, we developed a model for green logistics incorporated with co-existence/co-operation of production and consumption (Shimizu, 2014, Nagata, 2014). This study extends such model to discuss on the sustainability through a community-based action that aims at facilitating the low carbon society by developing human-social systems in terms of communicative, institutional and economical approaches. To work with the problem, we have proposed a community-based model that additionally optimizes the production methods (CLs) with different structures regarding cost and CO2 emission at production sites (PSs) besides popular available collection centers (CCs), paths from PSs to CCs and circular routes travelling client retailers (REs) from every CC. It aims at building a platform where every logistic member in the community can take part in decision-making through mutual understanding about low-carbon production, transportation and consumption. Such mutual learning will eliminate major bottlenecks to shift logistics system from an individual-based action to the community-based one. Multi-objective optimization for creating a low-carbon logistics system through community-based action
Effects of short‐ and long‐term pulsed radiofrequency electromagnetic fields on night sleep and cognitive functions in healthy subjects

There has been wide public discussion on whether the electromagnetic fields of mobile telephones and their base stations affect human sleep or cognitive functioning. As there is evidence for learning and memory‐consolidating effects of sleep and particularly of REM sleep, disturbance of sleep by radiofrequency electromagnetic fields might also impair cognitive functions. Previously realized sleep studies yielded inconsistent results regarding short‐term exposure. Moreover, data are lacking on the effect that short‐ and long‐term exposure might have on sleep as well as on cognitive functions. Therefore, 10 healthy young male subjects were included and nocturnal sleep was recorded during eight consecutive nights. In the second, third, and last night, we investigated polysomnographic night sleep and cognitive functions. After the adaptation and baseline nights, the participants were exposed to a defined radiofrequency electromagnetic field during the following six nights. We analyzed polysomnographic night sleep according to Rechtschaffen and Kales [1968, Manual of Standardized Terminology, Techniques and Scoring System for Sleep of Human Subjects] as well as by power spectra and correlation dimension. Cognitive functions were investigated by an array of neuropsychological tests. Data analysis was done by comparing the baseline night with the first and last exposure night and the first two sleep cycles of the respective nights. We did not find significant effects, either on conventional sleep parameters or on power spectra and correlation dimension, nor were there any significant effects on cognitive functions. With our results, we are unable to reveal either short‐term or cumulative long‐term effects of radiofrequency electromagnetic fields on night sleep and cognitive functions in healthy young male subjects. Bioelectromagnetics 28:316–325, 2007. © 2007 Wiley‐Liss, Inc.
Parameter Estimation in Models with Complex Dynamics

Mathematical models of real life phenomena are highly nonlinear involving multiple parameters and often exhibiting complex dynamics. Experimental data sets are typically small and noisy, rendering estimation of parameters from such data unreliable and difficult. This paper presents a study of the Bayesian posterior distribution for unknown parameters of two chaotic discrete dynamical systems conditioned on observations of the system. The study shows how the qualitative properties of the posterior are affected by the intrinsic noise present in the data, the representation of this noise in the parameter estimation process, and the length of the data-set. The results indicate that increasing length of dataset does not significantly increase the precision of the estimate, and this is true for both periodic and chaotic data. On the other hand, increasing precision of the measurements leads to significant increase in precision of the estimated parameter in case of periodic data, but not in the case of chaotic data. These results are highly useful in designing laboratory and field-based studies in biology in general, and ecology and conservation in particular.
Three-level converters with selective Harmonic Elimination PWM for HVDC application

In a voltage source converter (VSC) based HVDC system, the modulation scheme used is an important factor in achieving a desired harmonic performance with allowable semiconductor losses. In this paper, the use of selective Harmonic Elimination Pulse Width Modulation (HEPWM) for a three-level Neutral Point Clamped (NPC) converter in VSC based HVDC application will be discussed. Steady state performance of the converter system in terms of harmonics and losses will be evaluated using MATLAB and PSCAD/EMTDC simulation. Simulation results show a 37% improvement in total semiconductor loss with better harmonic performance by using the three-level solution compared to the two-level solution with the stated modulation scheme.
Urine phthalate concentrations are higher in people with stroke: United States National Health and Nutrition Examination Surveys (NHANES), 2001–2004

Associations between plastic‐associated chemicals, such as bisphenol A, and cardiovascular disease have begun to emerge in the current century. However, the relationship between urine phthalates and risk of stroke is unclear. It was aimed to study the relationship between urine phthalate concentrations and risk of stroke in a national population‐based cross‐sectional study.
Analytical Prediction of Electromagnetic Performance of Surface-Mounted Permanent Magnet Machines Based on Subdomain Model Accounting for Tooth-Tips

The developed subdomain model accounting for toothtips can accurately predict the open-circuit, armat ure reaction and on-load field distributions in surface-mounted permanent magnet machines. Based on this field model, their ele ctromagnetic performance of the machine, such as the cogging torque, back-EMF a nd electromagnetic torque, and winding inductances are calculated. The model can also be used for the evaluation of demagnetizat ion withstand capability. The finite element analysis confirms excellent accuracy of the developed analytical model.
Supplementary Material : Reinforced Video Captioning with Entailment Rewards

Our attention baseline model is similar to the Bahdanau et al. (2015) architecture, where we encode input frame level video features to a bi-directional LSTM-RNN and then generate the caption using a single layer LSTM-RNN, with an attention mechanism. Let {f1, f2, . , fn} be the frame-level features of a video clip and {w1, w2, . , wm} be the sequence of words forming a caption. The distribution of words at time step t given the previously generated words and input video frame-level features is given as follows:
Uterine coccidiosis of the impala caused by Eimeria neitzi spec. Nov.

McCULLY, R. M. , BASSON, P. A. , DEVOS, V. and D E VOS A. J. Uterine coccidiosis of the 1mpala caused by Eimeria neitzi spec. nov. 01tderstepoort]. vet. R es. 37 (1), 45-58 (1970). Four cases of uterine coccidiosis showing readily-detectable macroscopic lesions were collected over a penod of two years dunng wh1ch 451 female 1mpalas [Aep;,ceros melampus (Lichtenstein, 1812)] were exammed post morten: m the Krug~r National Park. This report includes descriptions and illustrations of macroscopic and mtcros~op1c les10ns ~nd vanous developmental stages of sexual reproduction of the parasite. Because of certam morphologtcal features of the oocysts, the causative organism was determined by the authors to be a new E imeria for which they propose the name E imeria neitzi. This coccidium parasiuzes mamly the distal port10ns of the utenne glands and the adjacent surface epithelium. Another distinctive feature of E tmerta neztzt 1s that sporogony occurs whtle the oocysts are still within host cells. On the basis of present knowledge, uterine coccidiosis is of very low incidence among impalas in the Kruger Nat10nal Park and probably of little herd s1gmficance under the prevailing veld conditions. Its effect on reproduction was not determined.
A Model for Combining Personality Assessment and Structured Interviewing To Select and Retain Employees

Introduction The robust economy and competition for employee talent has made it difficult for employers to fill open positions, and caused the hiring process to suffer. Organizations are increasingly willing to compromise good hiring practices to bring people on board as expeditiously as possible. It is not uncommon to use a single employment interview to make a hiring decision even for professional positions. The consequences of a “bad hire” are often ignored in favor of simply filling a position.
Does Alpha-lipoic Acid Supplement Regulate Blood Pressure? A Systematic Review of Randomized, Double-blind Placebo-controlled Clinical Trials

Although several animal and human studies have investigated the effect of alpha-lipoic acid (ALA) on blood pressure (BP), these findings are inconsistent. This systematic review of randomized clinical trials was conducted to summarize the evidence on the effect of ALA on BP. PubMed, SCOPUS, and Google Scholar databases were searched based on MESH term (“Thioctic acid” in combination with “Hypertension” and “Blood pressure”) to identify related papers published up to December 2015. We summarized the results of the relevant studies in this review. In total, nine studies included in this review, seven parallel-designed trials and two crossover-designed trials. The results of parallel-designed studies are inconsistent. Five studies indicate no significant effects for ALA supplementation on BP, but two trials show effects on BP. Unlike parallel-designed trials, two crossover-designed trials have shown similar results and both report no effect for ALA on BP. Several studies investigated the effect of ALA on BP. Most of the papers show no significant effect for supplementation and the studies have shown that associations are limited. However, these findings are limited and there is a need for further and more accurate researches to be clarified.
Looking at the effects of performance-based financing through a complex adaptive systems lens.

The debate on PBF is misdirected. As is too often the case in international aid financing, agencies try to prove the effectiveness of their contribution by isolating it as the main reason for success.1 In reaction, opponents will often use the same approach in an attempt to prove that another factor is actually the cause of an observed change. We argue that this endless and futile debate, often present among experts in health systems strengthening, will not contribute to improving public health in low-income countries. Rather than searching for the impossible proof of whether PBF works or not, we should instead try to learn useful lessons from experiences. We agree with Ireland et al. that the focus of PBF assessment should be on “why” and “how” the intervention works.2 Comprehensive evaluation of PBF is needed as part of complete health system reform. We think that, to respond to some of these key questions, health systems should be analysed using a complex adaptive systems lens, as others have advocated in the past.3,4 A complex adaptive system is a collection of interacting components, each of which has its own rules and responsibilities. The behaviour of this kind of system is different to the sum of the behaviour of each of its components. Examples of complex adaptive systems include the human brain, ecosystems and manufacturing businesses. Health system “behaviour” and particularly counterintuitive behaviour (unexpected changes or lack of change) can be analysed using a complex adaptive systems lens when PBF is introduced, often with a mix of other interventions such as in a context of system reform. The purpose of this analysis is not to isolate causal factors but rather to identify “macro” characteristics of the system that may explain behaviour change. Although it has often been ignored in health system evaluation, social simulation can be useful for this approach. The most frequently used technique, agent-based modelling, uses computer simulation centred on a collection of autonomous agents whose interactions are based on a set of rules. These simulations can integrate empirical data or existing knowledge or opinions.5 One of the powerful features of agent-based modelling lies in its capacity to study complex phenomena in a simple and flexible way. Indeed, this approach does not require a high level of mathematical or programming skills, making it accessible to many researchers. Furthermore, it allows for an iterative learning process that is easy to set up compared to long and costly data collection processes. While this methodological approach may not “prove” the effectiveness of an intervention, it could provide insight into the reason a health system behaves in a given way (whether it changes or remains in a steady-state) when PBF is introduced. We believe that this type of information, although maybe less appealing to the usual stakeholders in development aid debates, is much more useful in evaluating PBF.
Learning with Marginalized Corrupted Features and Labels Together

Tagging has become increasingly important in many real-world applications noticeably including web applications, such as web blogs and resource sharing systems. Despite this importance, tagging methods often face difficult challenges such as limited training samples and incomplete labels, which usually lead to degenerated performance on tag prediction. To improve the generalization performance, in this paper, we propose Regularized Marginalized Cross-View learning (RMCV) by jointly modeling on attribute noise and label noise. In more details, the proposed model constructs infinite training examples with attribute noises from known exponential-family distributions and exploits label noise via marginalized denoising autoencoder. Therefore, the model benefits from its robustness and alleviates the problem of tag sparsity. While RMCV is a general method for learning tagging, in the evaluations we focus on the specific application of multi-label text tagging. Extensive evaluations on three benchmark data sets demonstrate that RMCV outstands with a superior performance in comparison with state-of-the-art methods.