Miracle-dz/UniFAR-FTUs huggingface dataset:
Administrative Factors and Organization Climate Affecting the Performance of Health Personnel at the Emergency Department in Community Hospital

This is a cross-sectional analytical study aimed to identify administrative factors and organizational climateaffecting the performance of health personnel at the emergency department in community hospital Roi-Etprovince, Thailand. The study samples selected randomly from Emergency Department were 137 healthpersonnel. Stratified random sampling technique was applied to recruit the respondents from the total of 229health personnel. Similarly, 12 key informants were selected for the qualitative study. In-Depth interviewguidelines was applied to conduct qualitative study. The content validity of the questionnaire was evaluatedby three experts yielding an IOC value more than 0.50 in all questions. The Cronbach’s alpha coefficient ofthe questionnaire was 0.98. Data were collected between 23rd December 2020 to 12th January 2021. Dataanalysis was performed by descriptive statistics and inferential statistics at a significant level at 0.05. The study results showed that the administrative factors such as money, organizational climate suchas dimension of warmth, a dimension of responsibility and dimension of identity were affecting theperformance of health personnel (49.6 % (R2=0.496, p-value<0.001). In conclusion, four factors are affectingthe performance of health personnel. Hence those factors should be addressed, and administration shouldcreate the climate which can address the budget, working objective and goal for the development of theorganization.
Phase-recovery algorithm for harmonic/percussive source separation based on observed phase information and analytic computation

: Phase recovery is a methodology of estimating a phase spectrogram that is reasonable for a given amplitude spectrogram. For enhancing the signals obtained from the processed amplitude spectrograms, it has been applied to several audio applications such as harmonic/percussive source separation (HPSS). Because HPSS is often utilized as preprocessing of other processes, its phase recovery should be simple. Therefore, practically eﬀective methods without requiring much computational cost, such as phase unwrapping (PU), have been considered in HPSS. However, PU often results in a phase that is completely diﬀerent from the true phase because (1) it does not consider the observed phase and (2) estimation error is accumulated with time. To circumvent this problem, we propose a phase-recovery method for HPSS using the observed phase information. Instead of accumulating the phase as in PU, we formulate a local optimization model based on the observed phase so that the estimated phase remains similar to the observed phase. The analytic solution to the proposed optimization model is provided to keep the computational cost cheap. In addition, iterative reﬁnement of phase in the existing methods is applied for further improving the result. From the experiments, it was conﬁrmed that the proposed method outperformed PU.
Directional Microphone based on Artificial Spider Silk

Directional sound detection is usually achieved by using pressure microphone arrays. The drawback of such arrays is that they need further signal processing and show difficulties in combining high sensitivity, flat bandwidth and compactness. To counter these disadvantages spider silk microphones have shown to be very efficient at capturing the fluctuations in air velocity with a figure-of-eight directivity, high sensitivity and a broad frequency response [1, 2, 3]. To create an artificial sensor based on this concept, silicon nitride (SiNx) was used. Even though the SiNx-samples have a high pre-stress they show high sensitivity and in average a figure-of-eight characteristic. In combination with a laser vibrometer it was shown that this setup is a fully functioning microphone. Yet there is plenty of space for improvement. Reduction in internal stress and a portable transduction setup are upcoming challenges for SiNx-fiber sensors.
Influence of Attitudes on Willingness to Choose Time-of-Use Electricity Tariffs in Germany. Evidence from Factor Analysis

Time-of-use (TOU) electricity tariffs are a demand side measure to ease balancing of demand and supply to cope with a rising share of renewables in a country’s electricity mix. In general, consumers require compensation for accepting these tariffs. This study analyzes how attitudes drive consumers’ willingness to choose a TOU tariff in Germany. To identify attitudinal profiles, I use an exploratory factor analysis on items capturing positive and negative attitudes towards TOU tariffs, climate change awareness, and belief in energy saving measures. I use these factors as predictors in an ordered logit specification to estimate consumers’ stated willingness to choose a TOU tariff. Three factors are significant: positive and negative attitudes towards TOU tariffs, and climate change awareness. These findings highlight that decision makers who aim at balancing demand and supply through the use of TOU tariffs should focus on informing consumers about the positive impacts of these tariffs on climate change mitigation, grid stability, and possible energy savings.
Diagnostic performance of imaging features in the HBP of gadoxetate disodium-enhanced MRI for microvascular invasion in hepatocellular carcinoma: a meta-analysis

Background Microvascular invasion (MVI) is a major risk factor for early recurrence in patients with hepatocellular carcinoma (HCC). Preoperative accurate evaluation of the presence of MVI could enormously benefit its treatment and prognosis. Purpose To evaluate and compare the diagnostic performance of two imaging features (non-smooth tumor margin and peritumor hypointensity) in the hepatobiliary phase (HBP) to preoperatively diagnose the presence of MVI in HCC. Material and Methods Original articles were collected from Medline/PubMed, Web of Science, EMBASE, and the Cochrane Library up to 17 January 2021 linked to gadoxetate disodium–enhanced magnetic resonance imaging (MRI) on 1.5 or 3.0 T. The pooled sensitivity, specificity, and summary area under the receiver operating characteristic curve (AUC) were calculated and meta-regression analyses were performed. Results A total of 14 original articles involving 2193 HCCs were included. The pooled sensitivity and specificity of non-smooth tumor margin and peritumor hypointensity were 73% and 61%, and 43% and 90%, respectively, for the diagnosis of MVI in HCC. The summary AUC of non-smooth tumor margin (0.74) was comparable to that of peritumor hypointensity (0.76) (z = 0.693, P = 0.488). The meta-regression analysis identified four covariates as possible sources of heterogeneity: average size; time interval between index test and reference test; blindness to index test during reference test; and risk of bias score. Conclusion This meta-analysis showed moderate and comparable accuracy for predicting MVI in HCC using either non-smooth tumor margin or peritumor hypointensity in HBP. Four discovered covariates accounted for the heterogeneity.
Measuring coordinated versus spontaneous activity in online social movements

Social media platforms provide people all over the world with an unprecedented ability to organize around social and political causes. However, these same platforms enable organized actors to engineer fabricated social movements to advance their agenda. Such movements leverage a variety of tools and techniques, ranging from simple spam operations to sophisticated efforts involving numerous orchestrated accounts coordinated across linguistic and cultural clusters. While the former category is straightforward to analyze via data mining methods, campaigns in the latter category are engineered to mask their true nature from the public. We build on existing work to formalize a framework to detect coordination phenomena in the second category, based on anomalies in three key dimensions of participant behavior: network, temporal, and semantic. We test this framework on three case studies and find that, in all three cases, the framework enables us to detect coordination as behavioral anomaly.
Robotic process automation for industry: adoption status, benefits, challenges and research agenda

PurposeThis study intends to find the industries that have leveraged Robotic Process Automation (RPA) technology and elucidate the extent of the adoption of RPA in various industry domains with benefits. The identification of tasks eligible for RPA itself is a challenge. Therefore, the study further brings out the challenges faced in various industry verticals and postulates the future direction of research and applications in RPA.Design/methodology/approachThe study focuses on articles from popular databases such as SCOPUS, Web of Science and Google scholar. PRISMA methodology is used for systematic literature review and 113 papers are shortlisted for study. Three questions are framed to carry out the review and set the research direction.FindingsIt is evident from this study that RPA has been widely used in banking and related areas with moderate use in healthcare and manufacturing leading to operational efficiency and productivity. However, there are a lot more opportunities in other domains that need to be taped by leveraging technology advancements and a research agenda has been devised by postulating future directions.Originality/valueThe study brings out a new comprehensive perspective as regards RPA implementation across domains. There is no promising study found that gathers three-dimensional aspects of the meta-themes applications, benefits and challenges. The study summarizes the research agenda and projects the industry domains that have not yet explored, the benefits of RPA. This will be a good reference article for those who develop RPA techniques and organizations that have plans to go for RPA.
Cyclic Voltammetry as an Electroanalytical Tool for Analysing the Reaction Mechanisms of Copper in Chloride Solution Containing Different Azole Compounds

Cyclic voltammetry is widely employed in electroanalytical studies because it provides fast information about the redox potentials of the electroactive species and the influence of the medium on the redox processes. Azole compounds have been found to be effective corrosion inhibitors for copper in chloride-containing solutions. The aim of this work was to investigate in detail the influence of the addition of various azole compounds on the oxidation mechanism of copper in chloride-containing solutions, using cyclic voltammetry. The influence of thirteen azole compounds, at three different concentrations on the electrochemical/ chemical reactions of pure copper immersed in 3 wt. % NaCl solution was studied using cyclic voltammetry at different scan rates. The change of the peak current and potential with the scan rate were investigated. The possible linearity was compared with the theoretically derived mechanism. The possible reaction mechanisms were discussed based on the linearity of these parameters (peak current and potential) with the scan rate compared to theoretically derived models. Both the peak current and peak potential of the copper samples immersed in chloridecontaining solutions with additions of the majority of azole compounds showed linearity with the square root of the scan rate, suggesting that copper follows the Müller-Calandra passivation model. The same behavior was also found for copper in chloride-containing solutions without additions of azole compounds. A linear variation of the peak potential with the natural logarithm of the scan rate and linear variation of the peak potential with the square root of the scan rate was observed for the copper samples immersed in chloride-containing solutions with the addition of 10 mM of 2-mercapto-1- methylimidazole, imidazole, or 2-aminobenzimidazole. This suggests that copper follows irreversible redox reactions under a diffusion controlled process. No other linear relations of the peak current and peak potential with the scan rate were found. Copper oxidation in chloride-containing solutions is controlled by passivation (following the Müller-Calandra passivation model) upon the addition of the majority of the selected azoles. In the minority of cases, irreversible redox reactions that follow a diffusion-controlled process were identified. None of the systems followed an adsorption-controlled process. Moreover, none of the tested systems underwent reversible redox reactions that followed a diffusion controlled process.
manipulation in isolated turtle cerebellum

The apparent diffusion coefficient (ADC) and relaxation times of water were measured by magnetic resonance imaging (MRI) in the isolated turtle cerebellum during osmotic cell volume manipulation. The aim was to study effects of cell volume changes, a factor in ischaemia and spreading depression, in isolation from considerations of blood flow and metabolism. Cerebella were superfused at 12-14°C with solutions ranging from 50-200% normal osmolarity. Hypotonic solutions, which are known to cause cell swelling, led to reductions of ADC and increases of T2 while hypertonic solutions had opposite effects. This supports the concept that ADC varies with the extracellular space fraction and, combined with published data on extracellular ion diffusion, is consistent with fast or slow exchange models with effective diffusion coefficients that are approximately 1.7 times lower in intracellular than extracellular space. Spin-spin relaxation can be affected by osmotic disturbance, though such changes are not seen in all pathologies that cause cell swelling.
T5G2P: Using Text-to-Text Transfer Transformer for Grapheme-to-Phoneme Conversion

Despite the increasing popularity of end-to-end text-to-speech (TTS) systems, the correct grapheme-to-phoneme (G2P) module is still a crucial part of those relying on a phonetic input. In this paper, we, therefore, introduce a T5G2P model, a Text-to-Text Transfer Transformer (T5) neural network model which is able to convert an input text sentence into a phoneme sequence with a high accuracy. The evaluation of our trained T5 model is carried out on English and Czech, since there are different speciﬁc properties of G2P, including homograph disam-biguation, cross-word assimilation and irregular pronunciation of loanwords. The paper also contains an analysis of a homo-graphs issue in English and offers another approach to Czech phonetic transcription using the detection of pronunciation exceptions.
Robust Metallic Actuators Based on Nanoporous Gold Rapidly Dealloyed from Gold–Nickel Precursors

Dealloyed nanoporous gold (np‐Au) has applications as oxygen reduction catalysis in Li‐air batteries and fuel cells, or as actuators to convert electricity into mechanical energy. However, it faces the challenges of coarsening‐induced structure instability, mechanical weakness due to low relative densities, and slow dealloying rates. Here, monolithic np‐Au is dealloyed from a single‐phase Au25Ni75 solid‐solution at a one‐order faster dealloying rate, ultra‐low residual Ni content, and importantly, one‐third more relative density than np‐Au dealloyed from conventional Au25Ag75. The small atomic radius and low dealloying potential of the sacrificing element Ni are intrinsically beneficial to fast produce high relative density np‐Au, as predicted by a general model for dealloying of binary alloys and validated by experiments. Stable, durable, and reversible actuation of np‐Au takes place under cyclic potential triggering in alkaline and acidic electrolytes with negligible coarsening‐induced strain‐shift. The thermal and mechanical robustness of bulk np‐Au is confirmed by two‐order slower ligament coarsening rates during annealing at 300 °C and 45 MPa macroscopic yielding strength distinctive from the typical early onset of plastic yielding. This article opens a rich direction to achieve high relative density np‐Au which is essential for porous network connectivity, mechanical strength, and nanostructure robustness for electrochemical functionality.
Development of a Smart Energy Community by Coupling Neighbouring Community Microgrids for Enhanced Power Sharing Using Customised Droop Control

This article aims to develop a smart isolated energy community (EC) by coupling the neighbouring rural community microgrids (CMGs) with enhanced droop control for efficient power sharing. This recommended solution employs a power management (PM) based droop-control to enable independent neighbouring CMGs to share power on an available basis by not constraining CMG inverters to equal power sharing. During the grid-connected mode, the droop control may have different power setpoints of each CMG. However, during the standalone mode of operation, the power setpoint should be defined according to their power rating and availability to maintain the system stability. In this article, a PM strategy is developed to maintain the power setpoints of the autonomous CMGs. An improper selection of power setpoints in autonomous CMG can raise the DC link voltage to an unmanageable value and can cause an inadvertent shutdown of CMG. The suggested PM-based droop control enables the CMG inverter not to restrict the inverter to equal power share but to distribute its active power as available in an asymmetric way, if required. The dynamic performance of the proposed coupled system incorporated with two remote isolated CMGs is investigated in a MATLAB environment. Further, a laboratory prototype of the proposed system has been developed using a LabVIEW-based sbRIO controller to verify the efficacy of the proposed approach.
Combining Hybrid and End-to-End Approaches for the OpenASR20 Challenge

This paper describes the TalTech team submission to the OpenASR20 Challenge. OpenASR20 evaluated low-resource speech recognition technologies across 10 languages, using only 10 hours of training data in the constrained condition. Our ASR systems used hybrid CNN-TDNNF-based acoustic models, trained with different data augmentation strategies. We used language model adaptation, recurrent neural network language models and lattice combination for improving ﬁrst pass results. The scores of our submissions were the best across all teams in six out of ten languages. The paper also describes post-evaluation experiments that focused on the unconstrained condition. We show that optimized N-best list combination of a CNN-TDNNF based system and a ﬁnetuned multilingual XLSR-53 model results in large reductions in word error rate. Using BABEL data and the combination of hybrid and end-to-end systems gives 12-22% relative improvement over the constrained condition results.
The Dry and the Wet Case: Tree Growth Response in Climatologically Contrasting Years on the Island of Corsica

Stem radial variations of Corsican Black pine (Pinus nigra Arnold subsp. laricio Maire) and Maritime pine (Pinus pinaster Aiton) were monitored to quantify the impact of two meteorologically contrasting consecutive years. On the French island of Corsica, in the western Mediterranean basin, the year 2017 was extremely dry, while 2018 was exceptionally wet. We attached electric band dendrometers to 36 pines along an east–west transect, spanning the central mountain range, and set up automated weather stations at all five sites, ranging from 10 m asl to 1600 m asl. Stem radial variations (SRV) were separated into irreversible growth (GRO) and tree water deficit (TWD) periods. During the drought of 2017, the most severe tree water deficits occurred in the western part of the island, whereas trees at higher elevations were more affected than at lower elevations. A prolonged decrease of SRV, even close to the tree line, suggests bimodal growth and reveals high plasticity of growth patterns in both Corsican pines. Stem radial variations correlated significantly with precipitation and temperature. The positive correlations of GRO with precipitation and the negative correlations of TWD with temperature imply that high evapotranspiration led to the intense period of TWD in 2017. A novel approach was used to further investigate the growth/climate relationship by including synoptic-scale pressure situations. This revealed that an elevation gradient in GRO per weather pattern was only present in the wet year and that even rarely occurring weather patterns can have a substantial impact on tree growth. This novel approach provides a more comprehensive insight into meteorological drivers of tree growth patterns by incorporating different scales of the climatic system.
Two-way Euler-Lagrange Simulation on Mid-field Spray under Multi-physics Control

Spray formed by the process of high-speed gas shooting out of a round nozzle, along with liquid component teared, stretched and atomized into tiny droplets, exists extensively in natural environment and industrial activities. Many experimental and numerical works have been done for better understanding and estimating the complicated multiphase dynamics. The overarching aim of this report includes (i) simulating high-ﬁdelity turbulent sprays, (ii) validating mid-ﬁeld transport of polydisperse droplets and (iii) testing various artiﬁcial manipulation on the spray by external multiphysics control such as acoustic/pressure wave, electro-static ﬁeld and controlled introduction of swirl.
Paraphrase Label Alignment for Voice Application Retrieval in Spoken Language Understanding

Spoken language understanding (SLU) smart assistants such as Amazon Alexa host hundreds of thousands of voice applications (skills) to delight end-users and fulﬁll their utterance requests. Sometimes utterances fail to be claimed by smart assistants due to system problems such as model incapability or routing errors. The failure may lead to customer frustration, dialog termination and eventually cause customer churn. To avoid this, we design a skill retrieval system as a downstream service to suggest fallback skills to unclaimed utterances. If the suggested skill satisﬁes customer intent, the conversation will be recovered with the assistant. For the sake of smooth customer experience, we only present the most relevant skill to customers, resulting in partial observation problem which constrains retrieval model training. To solve this problem, we propose a two-step approach to automatically align claimed utterance labels to un-claimed utterances. Extensive experiments on two real-world datasets demonstrate that our proposed model signiﬁcantly out-performs a number of strong alternatives.
Voice Pedagogy for the 21st Century: The Summation of Two Summits

Abstract:The Voice Pedagogy Interest Group held its second summit in May 2018 to establish and recommend a logical curriculum that prepares and trains those entering the voice teaching profession with knowledge and skills needed to succeed. This position paper codifies the expanding competencies necessary for a 21st century teacher of singing and presents a vision of the ideal singing teacher's education, experience, knowledge, and skill.