Miracle-dz/UniFAR-FTUs huggingface dataset:
The reliability of the Danish version of the Canadian Occupational Performance Measure

Introduction This study aims to assess the reliability of the Danish version of the Canadian Occupational Performance Measure (COPM). Method 151 clients, 42.4% male, mean age 66.9 years (SD: 14.4, range: 16–90), from two hospitals and two rehabilitation centres were interviewed twice with the COPM over a ten-day mean interval (SD: 4.9, range: 2–27) either by the same (intra-rater) or two different occupational therapists (inter-rater). Data were analysed with intra-class correlation coefficients, coefficient of repeatability, and Bland–Altman plots. Results 823 occupational performance issues were prioritized of which 41%, 338 occupational performance issues (95% CI: 37.7–44.5), were mentioned in both interviews. The intra-class correlation coefficients were 59.8 (95% CI-intra-class correlation coefficients: 49.3–69.5) (COPM), 73.5 (95% CI intra-class correlation coefficients: 65.5-80.2) (COPM-Performance), and 71.8 (95% CI intra-class correlation coefficients: 63.4–78.8) (COPM-Satisfaction). The limits of agreement were −2.83 to 3.05 for the COPM-Performance and −3.50–3.53 for the COPM-Satisfaction. The COPM-Importance scores were highest when obtained by two raters, but opposite for the scores of the COPM-Performance and COPM-Satisfaction. The coefficient of repeatability roughly showed a change in +/- three points (COPM-Importance: 2.67; COPM-Performance: 2.94; and COPM-Satisfaction: 3.52). Correspondingly, Bland–Altman plots showed limits of agreement for the mean values of −2.71 and 3.53, respectively. Conclusions The intra-rater and inter-rater reliability of the COPM were moderate across settings, clients and rater experiences.
Performance Enhancement of Opened Resonance Photoacoustic Cells Based on Three Dimensional Topology Optimization

Photoacoustic (PA) spectroscopy techniques enable the detection of trace substances. However, lower threshold detection requirements are increasingly common in practical applications. Thus, we propose a systematic geometry topology optimization approach on a PA cell to enhance the intensity of its detection signal. The model of topology optimization and pressure acoustics in the finite element method was exploited to construct a PA cell and then acquire the optimal structure. In the assessment, a thermo-acoustic model was constructed to properly simulate the frequency response over the range of 0–70 kHz and the temperature field distribution. The simulation results revealed that the acoustic gain of the optimized cell was 2.7 and 1.3 times higher than conventional cells near 25 and 52 kHz, respectively. Moreover, the optimized PA cell achieved a lower threshold detection over a wide frequency range. Ultimately, this study paves a new way for designing and optimizing the geometry of multifarious high-sensitivity PA sensors.
Causality between Financial Inclusion and Economic Development: Lesson from the Emerging Indonesia Economy

: Our study aims to determine the causality between financial inclusion and economic development in Indonesia. This research uses the panel data set for 33 provinces from Indonesia for a period of 2013 to 2017. To estimate panel Granger Causality test, this study implements Pedroni’s cointegration test, and Panel Vector Auto Regression Model. This study finds that there is no significant causality relationship between the financial inclusion and economic development indicators. The results show that some indicators of economic developments such as income per capita and poverty have significant correlation to financial inclusion in Indonesia. Nevertheless, financial inclusion does not have an impact to economic development in Indonesia.
Evaluating Groundwater Flow Effects for Enhancement of Ground-Source Heat Pipes in the Case of the Toyohira River Alluvial Fan, Japan

The purpose of this study was to evaluate the potential enhancement of ground-source heat pipes by groundwater advection at two sites within an alluvial fan of Toyohira River, Sapporo. Two sites were selected: one in the fan toe, for negligible groundwater flow (Site 1), and the other in the apex for fast flows, the latter characterized by a specific discharge of 1.0 m/d from the losing river (Site 2). The evaporator section(s) of a single (double) heat pipe(s) was installed in a borehole at each site; the condenser section(s) on the ground was placed inside cooled brine at a set temperature, resulting in heat extraction under steady conditions. The single heat pipe experiments showed that the heat extraction rates ranged between 0.23 and 0.79 kW and were not clearly different at the two sites, considering some uncertainty. For double heat pipes, the heat extraction rates were unchanged at Site 1, but were about 146% higher at Site 2 compared to the single tests, due to groundwater advection. This study revealed that the number of ground-source heat pipes required could be reduced from three to two in areas near Site 2.
Deep Metric Learning for Replay Attack Detection

We present our countermeasure system submitted to the Physical Access (PA) task of ASVspoof 2021 Challenge. The objective for this challenge is to develop an anti-spoofing technology that identifies speech as either bonafide or recorded and replayed. Our system uses squeeze-excitation residual networks trained by metric learning method to learn effective representations that have small intra-class distance and large inter-class distance. Post processing methods are explored including linear transformation and template matching to discriminate between bonafide and spoofed utterances. We also conduct experiments on effectiveness of different embedding vector sizes in detecting spooﬁng attacks. We demonstrate that models trained with metric learning method show competitive performance compared with baseline systems. On ASVspoof 2019 development and evaluation dataset, our system improves the min t-DCF scores of baseline algorithms by 54% and 47%, respectively. And on ASVspoof 2021 evaluation dataset, the system achieves a min t-DCF score of 0.8879, which is also better than baseline systems.
Communication Media Technology And Social Harmony Construction In The Era Of Society 5.0 A Critical View

Abstract—The current media communication technology is growing into an inevitability. This medium can make a world as big as an egg, and it can similarly build a harmony based on its will. The study revealed how communication media technologies are able to build a reality of harmony in society. The study employed a qualitative approach with a post-positivistic paradigm. The research took 5 informants and interviewed them. The results of the study, (1) communication media technology became the main key formed society 5.0. (2) The development of social media in various platforms and with all its advantages caused the mass media mind stream fall one by one. (3) Communication media technology into a medium can bring the far and away close, or in other words create harmony that is switched. (4) Communication media technology has an impact on the occurrence of hoaxes that are actually enemies of the state.
Breaking the Binary

The need to make higher education curricula gender-inclusive is increasingly pressing as student cohorts diversify. We adopted a student-staff partnership approach to design, integrate, and evaluate a module that taught first-year science students the difference between biological sex, gender identity, gender expression, and sexual orientation in the context of genetics concepts at an Australian university. This module aimed to break the binary in misconceptions of both sex and gender, emphasising that both exist on separate spectra. Data triangulation was used to evaluate students’ attitudes towards the module and their learning of module concepts. Students’ attitudes were positive overall, and evaluation of students’ learning indicated that the majority of students understood and retained key concepts, while also identifying common misconceptions. Perhaps the most important finding was that students who identified as belonging to a minority group had significantly more positive attitudes towards the module than non-minority students. This finding supports previous research that has found inclusive curricula have greater benefit for students from minority backgrounds, indicating the importance of making such curriculum enhancements. Our results speak to both the co-creation process and students’ learning outcomes, providing valuable insights for practitioners both within science and beyond.
What are the benefits of mind wandering to creativity?

A primary aim of mind-wandering research has been to understand its influence on task performance. While this research has typically highlighted the costs of mind wandering, a handful of studies have suggested that mind wandering may be beneficial in certain situations. Perhaps the most-touted benefit is that mind wandering during a creative-incubation interval facilitates creative thinking. This finding has played a critical role in the development of accounts of the adaptive value of mind wandering and its functional role, as well as potential mechanisms of mind wandering. Thus, a demonstration of the replicability of this important finding is warranted. Here, we attempted to conceptually replicate results of a highly cited laboratory-based experiment supporting this finding. However, across two studies ( N = 443), we found no evidence for the claim that mind wandering during a creative-incubation interval facilitates a form of creativity associated with divergent thinking. We suggest that our failed conceptual replication stems from an inadequate characterization of mind wandering (task-unrelated thought), and that there are good reasons to think that task-unrelated thought is unlikely to be causally related to creativity. Our results cast doubt on the claim that task-unrelated thought during an incubation interval enhances divergent creativity while also offering some prescriptions for how future research might further elucidate the cognitive benefits of mind wandering.
Validation of PERSIANN Precipitation Product Using TAWN Rain Gauge Network Over Different Agro-climatic Zones in Tamil Nadu

Currently, several satellite-precipitation products were developed using multiple algorithms to estimate rainfall. This study carried out using Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) product over seven agro-climatic zones of Tamil Nadu during the northeast monsoon (NEM) season of October to December for 2015-2017 (three years) against 118 rain-gauges data of Tamil Nadu Agricultural Weather Network (TAWN). The performance compares aggregated seasonal scale of rainfall using continuous (CC, RMSE, and NRMSE) statistical approaches. It was observed that PERSIANN is accurate in the high-altitude hilly zone and the Cauvery delta zone. For 2015, 2016, and 2017, the correlation values were 0.77, 0.52, and 0.71, respectively. The highest RMSE value was measured for northeast zone (NEZ) during 2015 (222.17 mm), and the lowest was determined for 22.63 in the High-altitude hilly zone (HAHZ) during 2016 and NRMSE had less errors during all three seasons. The study concluded that the PERSIANN data set could be useful substitute for rain-gauge precipitation data.
Temporal evolution of plasma characteristics in synchronized dual-level RF pulsed capacitively coupled discharge

Plasma parameters (electron density, electron temperature and relative light intensity) often follow an unstable state at the initial pulse stage in pulsed radio frequency discharges. For instance, the electron temperature and the excitation rate often experience overshoot phenomena within a short time after the pulsed power is turned on, while the electron density first shows a sharp increase and then continues to increase more slowly before reaching a stable value within a relatively longer time. A systematic interpretation of the evolution of plasma parameters in synchronized dual-level radio frequency pulsing capacitively coupled plasmas is reported based on 1D3 V particle-in-cell simulations with Monte Carlo collisions in argon. The low electron density and rapid sheath expansion accompanied by a strong electric field in the bulk, are found to be of great importance for the overshoot of the electron temperature and excitation rate. In addition, a time-varying ambipolar electric field develops at the initial pulse stage, which compresses the plasma bulk toward the discharge center, contributing to a sharp increase of the plasma density.
The Importance of International Collaboration to Enhance Education for Environmental Citizenship

Environmental Education is essential to promote awareness and facilitate the development of environmental citizens. To contribute to the enhancement of environmental awareness, Iceland, Serbia, Bosnia and Herzegovina, and Romania have collaborated in joint educational projects which aim at building capacities on sustainable development, delivering environmental teaching lectures, and developing open educational resources. This article presents past and ongoing collaborations between the mentioned countries, assesses the status of environmental education, and highlights the benefits of international collaboration. For this purpose, information on environmental courses in representative universities from each country was collected, SWOT analyses were performed in each country, and a survey among potential students was carried out. The presented analysis reveals that international collaboration raises environmental awareness and increases the likelihood of becoming environmental citizens.
Evaluation of antihyperlipidemic activity of gugulipid alone and in combination with different dosage of atorvastatin in triton-induced hyperlipidemic rodent model: Exploring a possible synergistic activity

Background: Gugulipid obtained from Commiphora mukul carries a long history of safe and efficacious use in hyperlipidemia as per Ayurvedic literature. Statins like atorvastatin are a highly prescribed hypolipidemic drug but not free from potentially serious adverse effects. Aims and Objectives: The present study was designed to establish antihyperlipidemic activity of gugulipid in triton-induced hyperlipidemic rats in comparison to atorvastatin and simultaneously to explore the combination of gugulipid and atorvastatin for any synergistic activity. Materials and Methods: Male Wistar albino rats (20) were divided equally into vehicle (2% gum acacia) (Group I), gugulipid only 6.75 mg/kgbw (Group II), atorvastatin 7.2 mg/kgbw only (Group III), and gugulipid 6.75 mg/kgbw and atorvastatin in 7.2 mg/kgbw combination (Group IV) in Phase 1 study. In Phase 2, additional three groups were created with five rats in each receiving gugulipid 6.75 mg/kgbw with atorvastatin at 5.4 mg/kgbw, 3.6 mg/kgbw, and 1.8 mg/kgbw dosage, respectively (Groups V–VII). Hyperlipidemia was induced by single intraperitoneal injection (400 mg/kgbw) of triton after 7 days of feeding with respective agents dissolved in vehicle through oral route. Results: Regarding total cholesterol (TC), triglyceride (TG), and low-density lipoprotein (LDL), Gr II was found superior to Gr I but inferior to others (P < 0.01). Gr IV prevented the rise of TC and TG significantly in comparison to Gr V, VI, and VII (P < 0.01) whereas Groups V and VI having non-significant difference in between, both differed significantly (P < 0.01) with Gr VII. Groups IV, V, and VI prevented the rise of serum LDL significantly (P < 0.01) from Group VII. Conclusion: Gugulipid showed significant antihyperlipidemic activity and was found to be optimally efficacious and safe in combination with even reduced dose of atorvastatin.
Reproducing the urban or reappraising the local? Extracurricular activities developed by fellows in an alternative teacher preparation programme in China

ABSTRACT This paper analyses the forms of, and the reasons for developing extracurricular activities by fellow participants in an alternative teacher preparation programme in China. We frame the paper through Bourdieu’s sociology. Our interviews with 16 fellows reveal that fellows manoeuvre their capital portfolio to develop both academic and non-academic forms of extracurricular activities. Reasons for developing extracurricular activities include using available resources through capital conversion, expanding students’ horizon through contemptuous habitus; and taking into account the local needs. Despite fellows’ good intention to compensate local students, we call for reflexivity to transform their contemptuous habitus into one that realises local values.
The Impact of ESG Management on Investment Decision: Institutional Investors’ Perceptions of Country-Specific ESG Criteria

Existing global ESG models are limited in terms of applicability and predictability, especially in countries with an unstable environment. On the other hand, utilizing internally made or privately sourced ESG models have caused issues relating to generalizability, comparability, and continuity. In our research, we present an ESG framework that is specific to South Korea, which has both global and country-specific factors in all three categories. The AHP model is used to determine how the three categories’ materiality would be viewed by institutional investors as well as how country-specific factors rank against global factors. The results of this study show that institutional investors place more importance on environmental and governance factors compared to social factors. Factors including shareholders’ rights, pollution and waste, greenhouse gas emissions, and risk and opportunity management are found to have greater influences on investors’ investment decisions. In addition, it was confirmed that both of the country-specific variables for South Korea, partnership with subcontractor and CEO reputation, have a significant influence on investment decisions. By having the ESG model validated by institutional investors, who are the main users of ESG disclosures of corporations, our methodology of presenting a country-specific model can be benchmarked by studies on other emerging markets with a variety of country-level specificities.
Direct Seawater Electrolysis via Synergistic Acidification by Inorganic Precipitation and Proton Flux from Bipolar Membrane

This report describes direct seawater electrolysis (DSE) wherein natural seawater is used as a catholyte without filtration or pretreatment; seawater is acidified to a pH of 2 while hydroxide ions are produced at the cathode by the hydrogen evolution reaction (HER). It results from the cooperative effect of hydroxide ions trapped through inorganic precipitation at the cathode and proton flux from water dissociation in a bipolar membrane (BPM; used as a separator). The acidification of the catholyte in the proposed BPM-DSE substantially mitigates cathode passivation, eliminates the requirement of additional processes for treatment of inorganic precipitates dispersed in the catholyte, and reduces the cathode potential (𝐸𝑐) required for the HER to enable long-term DSE. The BPM in this system plays a critical role in maintaining the electrolyte concentration, suppressing the chlorine evolution reaction (ClER), and maximizing the oxygen evolution reaction. These findings are expected to suggest a breakthrough toward large-scale operation of DSE that successfully overcomes challenges such as energy consumption, inorganic precipitation, ClER, and corrosion.
The Influence of Marketing Innovations on Firm Performance under Different Market Environments: Evidence from China

The adoption of marketing innovations can contribute to the sustainability of a firm. However, research on the types of marketing innovations and their effects is limited. The purpose of this study is to analyze the dimensions of marketing innovations, their effects on firm performance, and how market environmental factors moderate those effects. Based on an analysis of the literature, this study discovered two types of marketing innovations and established a model to explain the dynamics of marketing innovation and firm performance under different market environments. Empirical data were collected and used to validate the model. Results show that both market-driven and market-driving innovations significantly contribute to a firm’s performance. Moreover, their effects are significantly moderated by competition intensity and technological turbulence but not demand uncertainty. This study contributes to the literature because it elaborates the conceptualization of marketing innovation and presents the dynamics of marketing innovation, market environment, and firm performance. It also provides practical implications on how firms can utilize marketing innovations to achieve business sustainability.
Impulse Response Modeling of the Box Shaped Acoustic Guitar

Music is the pulse of human lives and is an amazing tool to relieve and re-live. And when it comes to the signal processing, impulse is the pulse of the researchers. The work presented here is focused on impulse response modeling of noted produced by box shaped acoustic guitar. The impulse response is very fundamental behavior of any system. The music note is the convolution of the impulse response and the excitation signal of that guitar. The frequency of the generated music note follows the octave rule. The octave rule can be checked for impulse responses as well. If the excitation signal and impulse response are separated, then an impulse response of a single fret can be used to generate the impulse responses of other frets. Here the music notes are analyzed and synthesized on the basis of the plucking style and plucking expression of the guitar-player. If the impulse response of the musical instrument is known, the output music note can be synthesized in an unusual manner. Researchers have been able to estimate the impulse response by breaking the string of the guitar. Estimating the impulse response from the recorded music notes is possible using the methodology of cepstral domain window. By means of the Adaptive Cepstral Domain Window (ACDW) the author estimated the impulse response of guitar notes. The work has been further extended towards the classification of synthesized notes for plucking style and plucking expression using Neural Network and Machine Learning algorithms.