Miracle-dz/UniFAR-FTUs huggingface dataset:
Pregnancy: It does not Solely Affect RlS Symptoms

Background: Restless legs syndrome (RLS) is a common neurological disorder characterized by painful or disturbing sensations leading to an irresistible urge to move. Pregnancy is a risk factor for RLS. The association between RLS and pregnancy was examined in this study. Methods: One hundred seventy-four pregnant and 30 non-pregnant healthy control females were included in the study. International RLS Study Group criteria were applied to all participants in the diagnosis of RLS. Week of gravidity, demographic and medical history were recorded. Depression, daytime sleepiness, and insomnia were also assessed. Results: The median patient age was 27.5 in the pregnant group and 31.5 in control group. RLS was present in 35% of pregnant women and in 3% of women in the control group (p<0.001). Depression, insomnia severity, and sleep quality scores were correlated with RLS in pregnant women. Beck depression scores were significantly higher in pregnant women (9/635,5/63, p=0.008). Epworth Sleepiness Scale scores were significantly lower in pregnant patients than in the control group (median scores of 2 vs. 4.5) (p=0.002). PSQI was also significantly higher in pregnant subjects than in healthy control subjects (median score 7.1 vs. 5.3) (p=0.028). Insomnia occurred more frequently in pregnant patients (p=0.03). Conclusion: The RLS rate in pregnant women in the current study was comparable with other findings in the literature. Despite an unclear etiopathogenesis of RLS, secondary factors may aggravate symptoms. Pregnant women who were diagnosed with RLS had prominent anxiety, sleep disorder and depression symptoms in the current study. Regression analyses demonstrated that pregnancy was not the only risk factor for RLS.
Sensation seeking and personal growth in undergraduate freshmen: Likelihood of generalized self-efficacy over time

Through a follow-up study, relationships between sensation seeking (SS) and personal growth were examined. The survey research was conducted with the same undergraduate freshmen (n = 122) just after entrance into university (Time 1) and again after 3 months (Time 2). The freshmen who showed high SS at Time 1 experienced more positive life events afterward, and those who experienced more positive life events improved generalized self-efficacy from Time 1 to Time 2. Additionally, the level of the SS at Time 1 predicted participation in volunteer activities and in club and circle activities. These results suggest that SS is a preceding factor for personal growth.
WIRELESS SENSOR NETWORK DESIGN ENHANCEMENT TO GET MAXIMUM CHANNEL AVAILABILITY

: A wireless sensor network is a collection of sensor nodes with limited power supply and constrained computational and transmission capability. Due to the limited transmission and computational ability, and high density of sensor nodes, forwarding of data packets takes place in multi-hop data transmission. Therefore routing in wireless sensor networks has been an important area of research in the past few years. The sensor nodes run on non-rechargeable batteries, so along with efficient routing the network should be energy efficient with efficient utilization of the resources and hence this is an important research concern. Advances in wireless Technologies and evolution of low cost sensor nodes have led to introduction of low power wireless sensor networks. Due to multiple functions and ease of deployment of the sensor nodes it can be used in various applications such as target tracking, environment monitoring , health care, forest fire detection, inventory control, energy management, surveillance and reconnaissance, and so on. The main responsibility of the sensor nodes in a network is to forward the collected information from the source to the sink for further operations, but the resource limitations , unreliable links between the sensor nodes in combination with the various application demands of different applications make it a difficult task to design an efficient routing algorithm in wireless sensor networks.
Musical Audio Similarity with Self-supervised Convolutional Neural Networks

We have built a music similarity search engine that lets video producers search by listenable music excerpts, as a complement to traditional full-text search. Our system suggests similar sounding track segments in a large music catalog by training a self-supervised convolutional neural network with triplet loss terms and musical transformations. Semi-structured user interviews demonstrate that we can successfully impress professional video producers with the quality of the search experience, and perceived similarities to query tracks averaged 7.8/10 in user testing. We believe this search tool will make for a more natural search experience that is easier to find music to soundtrack videos with.
Heat sealing evaluation and runnability issues of flexible paper materials in a vertical form fill seal packaging machine

Vertical form fill seal machines are commonly used to form pouches. This paper aimed to optimize the sealing parameters and evaluate the runnability of flexible paper-based packaging materials with a polyethylene coating, differentiated by their grammages and thicknesses. This was done in comparison with a commercial plastic film, an oriented polypropylene and polyethylene laminate, using two different sealing jaw patterns in an industrial-scale vertical form fill seal machine. Based on the results obtained, the first observable seal was found at a sealing temperature of 90 °C for the paper-based material and a sealing temperature of 100 °C for thermoplastic film, both at a dwell time of 2 s. It was shown that the paper-based material had a larger sealing window, up to a sealing temperature of 220 °C, before the material started to turn brown, while the thermoplastic film shrank at a sealing temperature of 140 °C. Several peel and compression strength tests were performed to evaluate the flexible paper-based material. Furthermore, several hindering issues were observed in the paper-based material during the production runs. These included wrinkling, web buckling, friction in the forming tubes, pouches airtightness, etc. As such, recommendations for further investigations and future studies are given.
Cognizance of Rational Choice Theory and Teachers' Intervention in Reducing EFL Learners' Free Riding

ion, and explicit themes in Korean from four to seven. Language and Education. Liu, M. H. , & Braine, G. , 2005. Cohesive features in argumentative writing produced by Chinese undergraduates. System 33(4), 623– 636. Luo, Z. , Qu, H. , & Marnburg, E. (2013). Justice perceptions and drives of hotel employee social loafing behavior. International Journal of Hospitality Management, 33, 456464 . McGraw, P., & Tidwell, T. (2001). Teaching group process skills to MBA students: A short workshop. Education Training, 43(3), 162-171 . Murphy, R. (2017). Call my Rep! How Unions Overcame the Free-Rider
Failure Analysis of Composite Bolted Joints

An analysis based on two-dimensional finite element model was performed to evaluate the bearing strength of bolted composite joints.The objective of the study were to find a reasonable degradation rule to simulate the progressive failure.The user subroutine USDFLD was programmed for ABAQUS to add Hashin failure criteria to the model.Progressive failure,contact at the bolt-hole interface and large deformation theory were taken into account.After analyzing the results,the given degradation rule predicted the bearing strength well and it could simulate the failure status well.Diameter/thickness(D/t) affects the bearing strength of the hole.The bearing strength increases with D/t decreasing,and the failure area is close to the symmetric line of the hole.The results were compared with experimental data and good correlation observed.
The Contribution of Small and Medium-Sized Enterprises in the Economic Growth of the Southeast Region of Vietnam*

This research was conducted to check the impact of factors related to the small and medium-sized enterprises (SME) on the economic growth in the Southeast region of Vietnam, over the years from 1996–2019. This paper applies a combination of FEM, DKSE, GMM, and RIDGE-FEM regression methods to estimate the influence of independent variables on the economic growth of the whole Southeast region with the panel data collected from GSO; and applying the OLS regression model for each province. The study finds that all variables have a statistically significant positive impact on the economic growth of the study area. Accordingly, the importance of the variables is in the following order: (1) the proportion of workers by professional and technical qualification (SMEH), (2) the number of vocational training schools (LnTSCH), and educational level of workers (LnSchool), (3) the number of SME enterprises (LnSME); (4) The average number of years in the schooling of employees in the enterprise (LnSchool); (5) Enterprise capital (LnCAP); and (6) the average number of employees of SME (LnSMER). The research results also show that factors related to the quality of labor resources have a more positive influence on growth than both the labor size and financial capital of SMEs.
Model Predictive Control of Electric Machines in Commercial Vehicles

This thesis focuses on the realization of a Finite Control Set Model Predictive Control (FCS-MPC) scheme for a benchmark electric drive system which is supported by Volvo Group. A Permanent Magnet Synchronous Machine (PMSM) is used in this electric drive system, the non-linear model of the PMSM is derived after taking the magnetic saturation and the cross-coupling effects into consideration. Certain characteristic trajectory functions of the PMSM control strategies such as Maximum Torque Per Ampere (MTPA), Field Weakening (FW) and Maximum Torque Per Volt (MTPV) are formulated based on the non-linear PMSM model. A twolevel Voltage Source Inverters (VSI) without modulation scheme has 8 switching states in total to generate the input voltage for the PMSM. In order to reduce the switching losses, assumption has been made that at most one of the three inverter phase legs is allowed to change its switching state between each two sampling instances. The future system states can be predicted with the finite set of the possible input voltages and the discretized PMSM model. A multi-objective cost function is introduced to derive the optimal voltage input at the next time step. The cost function deals with three targets: torque tracking, attraction region and limitation. The torque tracking part enables the PMSM to generate the reference torque. The attraction region part forces the current states to evolve on the desired operation trajectory which is depend on the torque and speed level. The limitation part aims to avoid the current states reaching undesired operation regions. A PI controller has been designed for the benchmark electric drive system, the operation performances are compared between the FCS-MPC and PI based on the aspects of step response, tracking correctness, switching losses, current ripple and torque ripple. Though the ripple performance of the FCS-MPC is not as well as that of the PI, FCS-MPC helps to realize a faster rise time and lower switching losses. Evaluations of the FCS-MPC are also included with respect to different sampling frequencies and prediction horizons, which mainly affect the performance of tracking correctness along different trajectories.
THE DANGERS OF COMPUTER-SCIENCE THEORy1

The text of my sermon today is taken from Plato (the Republic, vii) who said, "I have hardly ever known a mathematician who was able to reason". If we make an unbiased examination of the accomplishments made by mathematicians to the real world of computer programming, we are forced to conclude that, so far, the theory has actually done more harm than good. There are numerous instances in which theoretical 'advances' have actually stifled the development of computer programming, and in some cases they have even made it take several steps backward! I shall discuss a few such cases in this talk. Last week at the IFIP 71 Congress in Ljubljana, I presented a lecture which had quite a different flavor: I spoke pro-Computer-Science, and I extolled the virtues of the associated mathematical theory. Today, however, I must consider the Methodology and Philosophy of Computer Science, and so I feel it necessary to right the balance and to give an anti-ComputerScience talk. (I hope that by showing the other side of the coin I will not prejudice the sales of the books I have written.) Perhaps the most famous example of misdirected theory has occurred in connection with random-number generation. Many of you know that sequences of pseudorandom numbers are often generated by the rule
Forecasting the numbers of cardiac diseases patients by using Box-Jenkins model in time series analysis

The aim of this study is analysis time series with using (Box and Jenkins ) method by identification , estimation, diagnosis, checking of model ,forecasting to find the beast forecasting model to the number of patient with cardiac in Misan province by using the monthly data of the period (20052016) by using SPSS version (26). The result of data analysis show that the proper and suitable model is Autoregression of order ARIMA (1,1,0) . According to this model the study forecast the numbers of patients with cardiac diseases the next years in monthly , so the forecasting values represented the scours time series data that deal to the efficiency of the model.
Simulation of UHF signal propagation in transformer and a novel algorithm for partial discharge localization

Detection of partial discharges (PDs) in high voltage equipment can be viewed as a way of anticipating the forthcoming failure of equipment and thus saving it through planned maintenance. There are various methods for detection of partial discharge. Among them UHF signals can be used for monitoring and finding the location of PD. The first stage of this method is modelling and simulating of UHF propagation of partial discharge in transformer. The modelling and simulation of UHF propagation can be done by CST software environment. Due to the processing limitation of the mentioned software, in this work, simulations have been executed using the numerical method of finite difference time domain (FDTD) by coding in both MATLAB and C++ environments. For a typical specimen, we have shown that there is a good agreement between software and code results. This simulation can be used in verification of localization algorithms. Here, localization of an artificially produced partial discharge signals have been conducted by merging particle swarm optimization (PSO) and FDTD. The obtained results show that this method can be utilized in PD localization in transformer.
Operational Parameters Analysis for the Removal of H2S and NH3 under Transient Conditions by a Biofiltration System of Compost Beds

Paper Received: 27 January 2021; Revised: 12 March 2021; Accepted: 8 April 2021 Please cite this article as: Vela-Aparicio D.G. , Forero D.F. , Fernandez A. , Hernandez M.A., Brandao P.F. , Cabeza I.O. , 2021, Operational Parameters Analysis for the Removal of H2s and Nh3 Under Transient Conditions by a Biofiltration System of Compost Beds, Chemical Engineering Transactions, 85, 163-168 DOI:10.3303/CET2185028 CHEMICAL ENGINEERING TRANSACTIONS
POLARITY EFFECT OF REPETITIVE NANOSECOND PULSE DISCHARGE ON SYMMETRIC ELECTRODE IN THE SUBSONIC AIRFLOWS

Nanosecond pulse discharge plasma has good prospect in aerodynamic flow actuation applications, which has attracted much attentions in the world. In this paper, the characteristics of repetitive nanosecond discharge between two symmetric line-line electrodes in the subsonic airflows are investigated experimentally. The results show that the area distribution of three different discharge modes changes with the variation of flow condition and pulse parameters. Especially, it is found that there is a polarity effect of repetitive nanosecond pulse discharge for symmetric electrode in the subsonic airflows. Comparing to the case that the negative electrode is on the upstream of the airflows, the promoted area becomes larger with the positive electrode located on the upstream, but the inhibited area smaller. The polarity effect of the symmetric line-line electrode is mainly contributed to the micro structure of the electrode surface, which is confirmed by the corresponding experiment results.
PIANO FINGERING ESTIMATION AND COMPLETION WITH TRANSFORMERS

We formulate ﬁngering-related tasks as sequence-to-sequence problems and solve them with the Transformer model. By integrating ﬁnger information into REMI-based tokens, we show our trained model can 1) estimate partial ﬁngering (ﬁngering is estimated for only partial notes), and 2) complete ﬁngering from partially speciﬁed ﬁngering.
Field test of an electric deterrence and guidance system during a natural spawning migration of invasive common carp

Non-physical deterrence and guidance technologies are sought after for management of invasive fish, but they have rarely been tested in the field during natural fish migrations. We tested the efficacy of a semi-portable deterrence and guidance system (DGS) that used vertical electrodes producing low-voltage electric field to deter the upstream spawning migration of common carp (Cyprinus carpio Linnaeus, 1758) and direct them into a trap (5 m by 25 m enclosure with a net) in a natural stream. The behavior of carp was monitored using Passive Integrated Transponder (PIT) tags and antennas. The migration began on 7 April 2019, when water temperature was 5 °C and lasted through May 2019. Performance of the DGS was evaluated during three separate periods, between which the DGS was briefly deactivated. During the first period (4/7–4/19), 559 unique carp challenged the DGS. Of those, 10 were able to cross the DGS (98.2% efficacy), 234 (41.8%) were directed into the trap and 54 were captured. The mean number of days each carp was detected at the DGS was 2.6. During the second period (4/25–5/7), 562 unique PIT carp challenged the DGS. Of those, 24 were able to cross it (95.8% efficacy), 241 (42.9%) were directed into the trap and 148 were captured. Mean time at the DGS was 5.6 days. During the third period (5/7–5/15), 147 PIT carp challenged the DGS and 2 were able to cross it (98.6% efficiency). The mean time at the DGS was 5.5 days. Due to decreasing numbers of carp during the third period, we did not attempt to direct them into the trap for removal. Stream discharge during our test exceeded the 11-year average by 2–3 times; the floodplain was periodically flooded, and it is possible that some carp migrated around the DGS rather than through it. Overall, our results suggest that DGS that generate mild, electric field can be useful in deterring seasonal migrations of common carp and facilitating new removal strategies. The semi-portable nature of the system and low site-engineering requirements allow for rapid deployments and targeted applications during seasonal migrations.
Accelerator Tuning with Deep Reinforcement Learning

Particle accelerators require routine tuning during operation and when new isotope species are introduced. This is a complex process requiring many hours from experienced operators. The difﬁcult control aspect of this problem is challenging for traditional approaches, but offers to be a promising candidate for reinforcement learning. We aim to develop an automated tuning procedure for the accelerators at TRIUMF, starting with the Off-Line Ion Source (OLIS) portion of the Isotope Separator and Accelerator (ISAC) facility. In this early stage of research, we show that the method of Recurrent Deep Deterministic Policy Gradients (RDPG) is successful in learning accelerator tuning procedures for a simple simulated environment representing the OLIS section.
EFFICACY OF NON-ORTHOGONAL MULTIPLE ACCESS BY ASSESSMENT OF 5G NETWORKS

: This investigation paper proposes the making development inside the method of 5G Wi-Fi organizations, for the most part non-balanced more than one get entry to (NOMA) and scholarly radio (CR), will give more unmistakable green use of Wi-Fi range inside what's to come. In this leaflet, we take a gander at the mixing of NOMA with CR right suitable authentic into an extensive device, particularly mental NOMA social class, for introduced savvy range sharing. Arrangement mind of mental NOMA networks are totally acclimated to limit requirements of 5G WI-Fi organizations, identified with extraordinary reach as a rule execution, huge accessibility, low inactivity, and higher worth. Three accurate scholarly NOMA structures are given, alongside underlay NOMA associations, overlay NOMA associations, and CR-breathed life into NOMA associations. To address between and intra-network impedance which in colossal perspective degenerate the overall customary all around execution of scholarly NOMA associations, pleasant moving frameworks are proposed. For each mental NOMA structure, our proposed pleasing moving methodology shows its ability to perceptibly reduce power outage openings. Furthermore, we talk open disturbing conditions and destiny research orders on utilization of mental NOMA associations.
Mediation of patience in relationship among attachment to God styles and mental health among students

Introduction: The present research was carried out in order to determine the meditative role of patience in relationship among attachment to God styles and mental healthcare among students. Method: To conduct this study, 350 students were chosen from the University of Isfahan using clustered sampling method. In order to examine attachment styles, patience, and mental health, attachment to God Scale (Rowatt and Kirkpatrick), response to life events scale and General Health Questionnaire (GHQ) were administered on them respectively. Correlation coefficient, multivariate regression analysis, and path analysis were used to analyze the gathered data. Results: Results indicated that there was a relationship among attachment to God styles (secure, avoidant insecure, and insecure ambivalent) with patience and mental health. Also, it can be noted that mental health might be forecast based on secure attachment and ambivalent insecure attachment. Similarly, there was a significant relationship among patience and mental health and patience forecast
Reduced-Order Modeling for Wakes around Bluff Bodies using Spectral Submanifolds

Reduced-order modeling is among the leading theoretical challenges in the field of fluid dynamics. Several approaches exist in literature that are able to construct such models for particular classes of flows, but rarely are these approaches justified from a nonlinear dynamics perspective. In this paper, we propose an approach that identifies slow manifolds associated with steady, time-periodic or time-quasiperiodic flows and clarifies their reduced dynamics using normal form theory. Beyond establishing the mathematical framework, we present our findings in the context of vortex shedding in the wake of a cylinder.
Spectrally U-shaped profile of beam propagation factor in all-solid photonic bandgap fiber

We found the beam quality factor M of the fundamental mode as a function of wavelength is U-shaped in the working photonic bandgap (PBG) of an all-solid PBG fiber (AS-PBGF) for the first time, to the best of our knowledge, and our simulation results also match well with the phenomenon. The normal band that is near the high-frequency edge of the third PBG integrates the lowest M and single-mode operation simultaneously, while the other two edge regions suffer from anomalous variation of M versus wavelength. The general applicability of this finding can be further extended to other PBGs and also other representative structures in the AS-PBGF field.