Miracle-dz/UniFAR-FTUs huggingface dataset:
Depression and leisure-based meaning-making: anhedonia as a mediating factor

ABSTRACT Leisure experience has particularly positive impacts on people’s health and well-being when it is perceived as meaningful. Research also suggests that mental health conditions, such as depression, inhibit people from deriving meaningfulness from their leisure. However, it remains underexplored what in depression has this negative effect on leisure-based meaning-making. Anhedonia, one of the depression’s key symptoms that undermines one’s ability to experience enjoyment, may be an underlying mechanism. This is consistent with recent evidence that positive affect plays a significant role in experiencing meaning in life. The current study examined the relationship between depression, anhedonia, and leisure-based meaning-making. A total of 155 community-living individuals with depression participated in a cross-sectional online survey. Pearson’s correlation analysis suggested that leisure-based meaning-making was negatively associated with both depression and anhedonia. However, the following mediation analyses found that the relationship between depression and leisure-based meaning-making was fully mediated by anhedonia, making depression’s direct effect non-significant. Similar patterns were observed in sub-dimensions of leisure-based meaning-making: connection/belonging and identity. The findings suggest that the hedonic factor plays a role in leisure-based meaning making.
COVID-19 Vaccination during Pregnancy in Southeast Asia

Southeast Asia is rapidly becoming the region hit hardest by coronavirus disease (COVID-19), as evidenced by the surging daily number of new confirmed cases and deaths. The COVID-19 crisis continues to worsen with the entry of the more transmissible variants of concern, primarily the Delta variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which was first identified in India. Pregnant women are among the vulnerable population groups at risk of suffering from severe COVID-19 and may experience poor pregnancy and neonatal outcomes due to the infection. Vaccination seems to be the most effective strategy to curb the pandemic and secondarily by social distancing, wearing face masks and practising hand hygiene. There has been limited yet reassuring evidence in support of vaccinating pregnant women against COVID-19. We sought to review the latest evidence regarding the safety, immunogenicity and reactogenicity of COVID-19 vaccines in pregnant women as well as the recommendations and guidance provided by the public health authorities in the countries in Southeast Asia.
Comparative study of the effects of selenium yeast and sodium selenite on selenium content and nutrient quality in broccoli florets (Brassica oleracea L. var. italica).

BACKGROUND Approximately 0.5-1 billion people worldwide face the risk of selenium (Se) deficiency because of the low Se concentration in their diets. Broccoli can accumulate Se and be used as a source of daily Se supplement for humans. Se biofortification is an effective strategy to enhance Se content in crops. In this work, the effects of Se yeast and selenite application on the Se content and nutrient quality of broccoli were investigated. RESULTS Broccoli growth was promoted by Se yeast but inhibited by selenite. The total Se content of broccoli florets remarkably increased with the increasing exogenous Se fertilizer concentrations. The main Se species in broccoli florets were methyl-selenocysteine and selenomethionine, and their contents were significantly higher under Se yeast treatments than under selenite treatments. Se(VI) was detected only under selenite treatments. Se yeast and selenite had different influences on soluble sugar, soluble protein, vitamin C, and free amino acid contents in broccoli florets. The total phenolic acid and glucosinolate contents were substantially increased by Se yeast and selenite, but the total flavonoid content was reduced by Se yeast. Tests on antioxidant enzyme activities revealed that several antioxidant enzymes (CAT, POD, SOD, GR) responded to Se yeast and selenite treatments. CONCLUSION Se yeast is preferred over selenite for maximizing Se uptake and nutrient accumulation in Se-rich broccoli cultivation. However, extremely high Se content in broccoli florets cannot be directly consumed by human but process them into Se supplements. This article is protected by copyright. All rights reserved.
The Effect of Training on Employee Performance Mediated by Service Quality

The bank plays an essential role in the Indonesian economy. Service quality and employee performance have become a priority for human development in Malang City. Therefore, this study will examine the effect of training on employee performance mediated by service quality. These study purposes are as follow: 1) knowing the effect of training on service quality of Bank Jatim in Malang Region, 2) knowing the effect of service quality on employee performance of Bank Jatim in Malang Region, 3) knowing the effect of service quality on employee performance of Bank Jatim in Malang Region, 4) knowing the effect of training on employee performance mediated by service quality of Bank Jatim in Malang Region. This is a survey research using an explanatory approach. The research location was Bank Jatim in Malang Region, which 48 respondents. Data was collected using a questionnaire and filled in by respondents. From the data obtained, mediation analysis is done to examine the effect of each variable. This research has four findings. First, training has a positive and significant effect on service quality. Second, training has a positive and significant effect on employee performance. Third, Service quality has a positive and significant effect on employee performance. Service quality mediates the effect of training on employee performance.
LACOPE: Latency-Constrained Pitch Estimation for Speech Enhancement

Fundamental frequency ( f 0 ) estimation, also known as pitch tracking, has been a long-standing research topic in the speech and signal processing community. Many pitch estimation algorithms, however, fail in noisy conditions or introduce large delays due to their frame size or Viterbi decoding. In this study, we propose a deep learning-based pitch estimation algorithm, LACOPE, which was trained in a joint pitch estimation and speech enhancement framework. In contrast to previous work, this algorithm allows for a conﬁgurable latency down to an algorithmic delay of 0. This is achieved by exploiting the smoothness properties of the pitch trajectory. That is, a recurrent neural network compensates delay introduced by the feature computation by predicting the pitch for a desired point, allowing a trade-off between pitch accuracy and latency. We integrate the pitch estimation in a speech enhancement framework for hearing aids. For this application, we allow a delay on the analysis side of approx. 5 ms . The pitch estimate is then used for constructing a comb ﬁlter in frequency domain as post-processing step to remove intra-harmonic noise. Our pitch estimation performance is on par with SOTA algorithms like PYIN or CREPE for spoken speech in all noise conditions while introducing minimal latency.
Axle Load Distribution Characterization for Mechanistic Pavement Design

In Sri Lanka, Overseas Road Note 31 and AASHTO method are the most frequently used pavement design methods. However, in these methods the consideration given for utilization of readily available in-situ materials and incorporating characteristics of substandard materials into the designs, is not significant. On contrary, the AASHTO Mechanistic-Empirical (M-E) method of pavement design allows the designer to utilize in-situ materials and allows to optimize the pavement design to suit the conditions at site. However, due to the amount of data input required in M-E design, the preference of local practitioners in using the M-E method is not satisfactory. This study was carried out with the objective of identifying trends in axle load group type distributions of different regions in Sri Lanka. It has been found that there are similar patterns in distribution of axle group types throughout the island. Also, it was found that there are certain geographical regions with similarities in pavement loading conditions. An attempt for zoning traffic load distributions for selected geographic areas is presented in this study. This will aid in determining the traffic data input for M-E design, with a degree of accuracy level 2 as defined in M-E design method.
EFIKASI DIRI SEBAGAI MEDIASI PENGARUH PENDIDIKAN KEWIRAUSAHAAN DAN MOTIVASI BERWIRAUSAHA TERHADAP MINAT BERWIRAUSAHA MAHASISWA

Abstract Entrepreneurship education, entrepreneurial motivation, and self-efficacy play an important role in fostering student interest in entrepreneurship. The purpose of this study was to analyze the effect of entrepreneurship education and entrepreneurial motivation on college students' interest in entrepreneurship with self-efficacy as a mediating variable. This research us ed a quantitative approach with associative research type. The sample in this study were 135 students. This study use d a questionnaire instrument to obtain data which wa s then analyzed using Structural Equation Modeling (SEM) analysis techniques with the WarpPLS 5.0 approach. The results showed that: (1) Entrepreneurship education has a significant and positive effect on students' interest in entrepreneurship; (2) Entrepreneurial motivation does not have a significant and positive effect on students' interest in entrepreneurship; (3) Self-efficacy has a significant and positive effect on students' interest in entrepreneurship; (4) Entrepreneurship education has a significant and positive effect on student self-efficacy; (5) Entrepreneurial motivation has a significant and positive effect on student self-efficacy; (6) Entrepreneurship education has a significant and positive effect on students' interest in entrepreneurship through self-efficacy; and (7) Entrepreneurial motivation has a significant and positive effect on students' interest in entrepreneurship through self-efficacy. Keywords : Entrepreneurial Motivation, Entrepreneurship Education, Interest In Entrepreneurship, Self-Efficacy.
Understanding the Interaction of Chinese Fiscal and Monetary Policy

Interaction of fiscal and monetary policy is crucial for macroeconomic stability, especially for an economy with downward pressure as well as a tightened space for macro policy, like China. In this paper, we use a time-varying-parameter (TVP-VAR) model to study Chinese fiscal–monetary interaction and divide it into three periods. We claim that China went through a monetary dominant regime from 1996Q to 2017Q4 since the response of CPI to a fiscal expansion was negative in the short run and about zero in the long run, while the monetary expansion had positive effects on CPI. During this period, the response of government spending and money supply to each other’s shock had the same sign, indicating that the two policies acted as complements. However, we argue that 2008Q4 was a turning point that divided this period into two different periods. The response level of M2 growth rate to a fiscal expansion kept rising from 1996Q1 to 2008Q4, indicating the central bank’s increasingly active cooperation with fiscal policy, while it decreased from 2009Q1 to 2017Q4. Since 2018Q1, the economy has been going through a fiscal dominant regime in that the response of GDP growth rate and CPI to the fiscal expansion has sharply increased. We also argue that the relative change of the role between the two policies should be mainly attributed to the variation in the fiscal authority’s characteristics because fiscal response to a monetary shock has remained at a similar level the whole time, even if there have been changes in the characteristics of the central bank.
Leukocyte Counts and T-Cell Frequencies Differ Between Novel Subgroups of Diabetes and Are Associated With Metabolic Parameters and Biomarkers of Inflammation

Frequencies of circulating immune cells are altered in those with type 1 and type 2 diabetes compared with healthy individuals and are associated with insulin sensitivity, glycemic control, and lipid levels. This study aimed to determine whether specific immune cell types are associated with novel diabetes subgroups. We analyzed automated white blood cell counts (n = 669) and flow cytometric data (n = 201) of participants in the German Diabetes Study with recent-onset (<1 year) diabetes, who were allocated to five subgroups based on data-driven analysis of clinical variables. Leukocyte numbers were highest in severe insulin-resistant diabetes (SIRD) and mild obesity-related diabetes (MOD) and lowest in severe autoimmune diabetes (SAID). CD4+ T-cell frequencies were higher in SIRD versus SAID, MOD, and mild age-related diabetes (MARD), and frequencies of CCR4+ regulatory T cells were higher in SIRD versus SAID and MOD and in MARD versus SAID. Pairwise differences between subgroups were partially explained by differences in clustering variables. Frequencies of CD4+ T cells were positively associated with age, BMI, HOMA2 estimate of β-cell function (HOMA2-B), and HOMA2 estimate of insulin resistance (HOMA2-IR), and frequencies of CCR4+ regulatory T cells with age, HOMA2-B, and HOMA2-IR. In conclusion, different leukocyte profiles exist between novel diabetes subgroups and suggest distinct inflammatory processes in these diabetes subgroups.
The Analysis of Force Transfer between Feet during Backhand Short Serve in Elite Badminton Players

The original badminton scoring system has been changed into the rally 21-point scoring system since 2006. The alteration allows badminton players to capably score a point in the first shot as service, causing them to equip themselves with faster-and-more precise style of play. Backhand short serve is most frequently used, especially in doubles, to improve the game situation as the players get an opportunity for attacking their opponents, and easily getting a score. The backhand short serve is executed by an upper part of the body which diagonally sends a shuttlecock over the net to land in a receiver's area within boundary line. Components of the service, however, are accompanied by not only the upper part of body but also the lower one. Therefore, the aim of this study was to study the accomplice of the lower part through analyzing the force transfer between feet at back swing, forward swing and contact during backhand short serve in elite badminton players. Fourteen Thai elite badminton double players (eight men and six female) were chosen to participate in the study. Two force plates which got set up in front of a badminton court behind short service line, and eight motion capture cameras installed around the court were used. The results revealed that there was a significant difference in anterior-posterior peak ground reaction force between left and right foot at back swing phase (p=0.00), at forward swing phases (p=0.00) and at contact (p=0.00), and there was distinction in each phase of left foot between back swing with forward swing phase, back swing phase with contact, and forward swing phase with contact of medial-lateral peak force (p=0.008). Finally, right foot was found to show difference between back swing phase with contact, and forward swing phase with contact of vertical peak force (p=0.013). In conclusion, the ground reaction force was transferred from right foot to left foot for controlling the center of mass upon effective serving, and for preparing to hit the next shot.
Effect of the matrix-edge-forest interior gradient on the phyllostomid bats assemblage in sub-Andean forest fragments

The edge effect is one of the consequences of forest fragmentation and is one of the main drivers of alteration of ecological and ecosystem processes. Trophic guilds and species of bats have shown differential responses to this phenomenon. Our goal was to describe the change in bat species richness, abundance, evenness, and species composition of trophic guilds associated with a matrix edge-forest interior gradient. Therefore, we conducted a bat sampling with 16 mist nets covering such gradient in four sub-andean forest fragments (10-50 ha). In total, we captured 566 individuals of 21 species of phyllostomid bats. Bat species richness and abundance were higher in the matrix and edge and were similar between fragments. Evenness showed the lowest values in the matrix and forest edge and was different between forest patches. Some shrub frugivorous bats were more abundant in the edge, and others were more abundant in two fragments. Species composition of canopy frugivorous bats was similar along the gradient but was significantly different between fragments. In contrast, the species composition of nectarivores was similar throughout the matrix-interior forest gradient and between patches. Our data suggest that bat responses at assemblage-level are affected by the disturbance gradient from the matrix to forest interior, even at short distances form fragment borders, and are dependent on the trophic guild.
The CSTR System for Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages

This paper describes the CSTR submission to the Multilingual and Code-Switching ASR Challenges at Interspeech 2021. For the multilingual track of the challenge, we trained a multilingual CNN-TDNN acoustic model for Gujarati, Hindi, Marathi, Odia, Tamil and Telugu and subsequently ﬁne-tuned the model on monolingual training data. A language model built on a mixture of training and CommonCrawl data was used for decoding. We also demonstrate that crawled data from YouTube can be successfully used to improve the performance of the acoustic model with semi-supervised training. These models together with conﬁdence based language identiﬁcation achieve the average WER of 18.1%, a 41% relative improvement compared to the provided multilingual baseline model. For the code-switching track of the challenge we again train a multilingual model on Bengali and Hindi technical lectures and we employ a language model trained on CommonCrawl Bengali and Hindi data mixed with in-domain English data, using a novel transliteration method to generate pronunciations for the English terms. The ﬁnal model improves by 18% and 34% relative compared to our multilingual baseline. Both our systems were among the top-ranked entries to the challenge.
The Adhesion and Diffusion of Saturate, Asphaltene, Resin and Aromatic (SARA) Molecules on Oxygenated and Hydrogenated Carbon Nanotubes (CNTs)

The interfacial adhesion between asphalt binder and carbon nanotubes (CNTs) depends on many nanoscopic properties such as diffusion of SARA molecules on CNTs surface. Functionalization of CNTs with Oxygens (O=CNTs), hydroxyl groups (HO–CNTs), and hydrogens (H–CNTs) has been an effective way to modify the surface properties of CNTs and ultimately the macroscopic properties of the CNT-composites. This paper presents the effect of different dosages of oxygenated and hydrogenated CNTs on the adhesion and diffusion of SARA molecules on CNTs’ surfaces. First, reactive molecular dynamics simulation is used to oxygenate and hydrogenate CNTs up to a certain dosage. Next, it is employed to model the interaction and diffusion of SARA molecules with the functionalized CNTs. We employ the steer molecular dynamic (SMD) and Einstein formula to calculate the adhesion and diffusion properties. The results demonstrate that hydrogenation has little effect on the adhesion energy, while oxygenation can increase adhesion energy up to 100% for 25% dosage. The diffusion coefficient dramatically drops for both oxygenated and hydrogenated CNTs, with lower values for the latter. We observe that for hydrogenated and oxygenated CNTs at different dosages, asphaltene, resin, aromatic, and saturate molecules have the highest to lowest values, respectively.
Clinical Characteristics and Risk Factors for 28-day Mortality in Critically Ill Patients with COVID-19: A Retrospective Cohort Study.

BACKGROUND To date, the coronavirus disease 2019 (COVID-19) caused more than 2.6 million deaths all around the world. Risk factors for mortality remain unclear. The primary aim was to determine the independent risk factors for 28-day mortality. MATERIALS AND METHODS In this retrospective cohort study, critically ill patients (? 18 years) who were admitted to the intensive care unit due to COVID-19 were included. Patient characteristics, laboratory data, radiologic findings, treatments, and complications were analyzed in the study. RESULTS A total of 249 patients (median age 71, 69.1% male) were included in the study. 28-day mortality was 67.9% (n = 169). The median age of deceased patients was 75 (66? 81). Of them, 68.6% were male. Cerebrovascular disease, dementia, chronic kidney disease, and malignancy were significantly higher in the deceased group. In the multivariate analysis, sepsis/septic shock (OR, 15.16, 95% CI, 3.96? 58.11, p < 0.001), acute kidney injury (OR, 4.73, 95% CI, 1.55? 14.46, p = 0.006), acute cardiac injury (OR, 9.76, 95% CI, 1.84? 51.83, p = 0.007), and chest CT score higher than 15 (OR, 4.49; 95% CI, 1.51-13.38, p = 0.007) were independent risk factors for 28-day mortality. CONCLUSION Early detection of the risk factors and the use of chest CT score might improve the outcomes in patients with COVID-19.
Immunogenetic Epidemiology of Type 1 Diabetes in 14 Continental Western European Countries

Human leukocyte antigen (HLA) is widely recognized to influence individual Type 1 diabetes (T1D) risk. Here we utilized an immunogenetic epidemiological approach to evaluate the influence of HLA on T1D at the population level. Specifically, we evaluated the correlations between the population frequencies of 127 HLA Class I and II alleles and the population prevalence of T1D in 14 Continental Western European countries to identify a population-level HLA profile for T1D. The results of these analyses generally corroborated prior findings regarding the influence of HLA on T1D risk and protection and revealed several novel HLA-T1D associations. The findings, discussed within the context of the role of HLA in pathogen elimination and autoimmunity, point to a contributory role of exposure to pathogens in the absence of protective HLA in underlying the autoimmune destruction of pancreatic beta cells in T1D.
End-to-End Speech Separation Using Orthogonal Representation in Complex and Real Time-Frequency Domain

Traditional single channel speech separation in the time-frequency (T-F) domain often faces the problem of phase reconstruction. Due to the fact that the real-valued network is not suitable for dealing with complex-valued representation, the performance of the T-F domain speech separation method is often constrained from reaching the state-of-the-art. In this paper, we propose improved speech separation methods in both complex and real T-F domain using orthogonal representation. For the complex-valued case, we combine the deep complex network (DCN) and Conv-TasNet to design an end-to-end complex-valued model. Speciﬁcally, we incorporate short-time Fourier transform (STFT) and learnable complex layers to build a hybrid encoder-decoder structure, and use a DCN based separator. Then we present the importance of weights orthogonality in the T-F domain transformation and propose a multi-segment orthogonality (MSO) architecture for further improvements. For the real-valued case, we performed separation in real T-F domain by introducing the short-time DCT (STDCT) with orthogonal representation as well. Experimental results show that the proposed complex model outperforms the baseline Conv-TasNet with a comparable parameter size by 1.8 dB, and the STDCT-based real-valued T-F model by 1.2 dB, showing the advantages of speech separation in the T-F domain.