Miracle-dz/UniFAR-FTUs huggingface dataset:
A textual analysis of central bank communication the case of Indonesia

The objective of this paper is two-fold: (1) to assess the textual aspects of the Central Bank of Indonesia's monetary policy communication and (2) identify their potential relation to the inflation expectations. Using monthly policy interest rate press release announcements, we found that the text readability is relatively stable, although the text complexity is higher. However, the clarity and readability of the text are negatively correlated with the inflation expectations. Meanwhile, the tone of the text is positively associated with the inflation expectations. They suggest that the central bank should strengthen the quality of the text announced and pay more attention to the informal communication channels. The high quality and use of informal communication channels provide additional pieces of information in shaping price expectations in the future. Citation: Haryo Kuncoro and Gatot Nazir Ahmad and Dianta Sebayang, (2021) ''A textual analysis of central bank communication the case of Indonesia'', Economics Bulletin, Vol. 41 No. 3 pp. 2158-2172 Contact: Haryo Kuncoro har_kun@feunj.ac. id, Gatot Nazir Ahmad gnahmad@unj.ac. id, Dianta Sebayang dianta.sebayang@unj.ac. id. Submitted: January 01, 2021. Published: September 18, 2021.
The Influence of Organizational Citizenship Behavior and Organizational Commitment Towards Teachers’ Performance Madrasah Aliyah in Bitung

The purpose of this study was to analyze the effect of (1) Organizational Citizenship Behavior (OCB) on teachers’ performance in Madrasah Aliyah in Bitung, (2) organizational commitment on teachers’ performance in Madrasah Aliyah in Bitung, (3) the Organizational Citizenship Behavior (OCB) and organizational commitment toward teachers’ performance in Madrasah Aliyah in Bitung. This research was conducted from July to September 2019 located in Madrasah Aliyah in Bitung. The population in this study was 98 teachers spread over 4 Madrasah Aliyah in Bitung. All populations became sample in this research by using nonprobability sampling. Data analysis was conducted by using inferential statistical analysis techniques, namely statistical techniques used to analyze the sample data and the results were applied to all populations. Based on the results of the study, it can be concluded that: (1) there wasn’t a significant influence of Organizational Citizenship Behavior (OCB) on teachers’ performance in Madrasah Aliyah in Bitung, (2) there was a significant influence of organizational commitment on teachers’ performance in Madrasah Aliyah in Bitung, and (3) there was a significant influence of Organizational Citizenship Behavior (OCB) and organizational commitment toward teachers’ performance in Madrasah Aliyah in Bitung.
SI Appendix: 1) Large Population Limits for a Neutral Metacommunity and 2) Gibbs Sampling for the UNTB-HDP

Metacommunity and 2) Gibbs Sampling for the UNTB-HDP Keith Harris, Todd L Parsons, Umer Ijaz, Leo Lahti, Ian Holmes and Christopher Quince6,∗ 1 School of Mathematics and Statistics, University of Sheffield, Sheffield, UK Laboratoire de Probabilités et Modèles Aléatoires, CNRS UMR 7599, UPMC Univ Paris 06, Paris, France. Infrastructure and Environment Research Division, School of Engineering, University of Glasgow, Glasgow, G12 8LT, UK. Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland & Laboratory of Microbiology, Wageningen University, Wageningen, Netherlands. Department of Bioengineering, University of California, Berkeley, California, USA. Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK. ∗Corresponding author
Reply to Anonymous Referee #2 (amt-2019-311-AC2): General comment In this study, the SBDART radiative transfer model was implemented over East China, using as input satellite data from MODIS and reanalysis data from MERRA-2, NCEP and ECMWF. Measurements from ground stations

Atmospheric aerosols play a crucial role in regional radiative budgets. Previous studies on clear-sky aerosol direct radiative forcing (ADRF) have mainly been limited to site-scale observations or model simulations for short-term cases, and 20 long-term distributions of ADRF in China has not been portrayed yet. In this study, an accurate fine-resolution ADRF estimate at the surface was proposed. Multiplatform datasets, including satellite (MODIS aboard Terra and Aqua MODIS) and reanalysis datasets, served as inputs to the Santa Barbara Discrete Atmospheric Radiative Transfer (SBDART) model for ADRF simulation with consideration of the aerosol vertical profile over East China during 2000-2016. Specifically, single scattering albedo (SSA) from the Modern-Era Retrospective Analysis for Research and Application, version 2 (MERRA-2) 25 was validated with sunphotometers over East China. The gridded asymmetry parameter (ASY) was then simulated by matching the calculated top-of-atmosphere (TOA) radiative fluxes from the radiative transfer model with satellite observations (Clouds and the Earth’s Radiant Energy System (CERES)). The high correlation and small discrepancy (6-8 W m) between simulated and observed radiative fluxes at three sites (Baoshan, Fuzhou, and Yong’an) indicated that ADRF retrieval is feasible and has high accuracy over East China. Then this method was applied in each grid of East China, and the overall picture of ADRF 30 distributions over East China during 2000-2016 was displayed. ADRF ranges from -220 to -20 W m, and annual mean ADRF is -100.21 W m, implying that aerosols have strong cooling effect at the surface in East Chinaduring past 16 years. With the economic development and rapid urbanization, the spatiotemporal changes of ADRF during past 17 years are mainly attributed to the changes of anthropogenic emissions in East China.Finally, uncertainty analysis was also evaluated. Our method provides the long-term ADRF distribution over East China for the first time, with highlighting the importance of aerosol radiative impact 35 under the climate change.
Influence of weather parameters on alternaria leaf blight severity of makhana under the agro-climate of Koshi region of Bihar

Weather parameters play a pivotal role in the infection process and spread of pathogen. It also influences the expression of susceptibility/resistance of the host plant during post-infection phases. Therefore, an experiment was conducted for two consecutive cropping seasons (2018 &2019) to study the influence of weather parameters such as temperature, humidity, rainfall and wind direction on the emergence of alternaria leaf blight of makhana in Koshi region of Bihar. Maximum per cent disease severity of alternarialeaf blightwas observed during the peak monsoon months (June to August). Highest disease severity of leaf blight (14.80% & 15.7%) was observed in the mid June during crop season, 2018 and 2019. High temperature (36.9oC & 38.1oC), and relative humidity (94% & 96.4%) of both the year 2018 and 2019 were found correlated with higher severity to alternaria leaf blight. Similarly average HTR values (3.1) were also found correlated with the average high temperature and relative humidity of both years (2018 and 2019) in terms of severity of leaf blight disease. Maximum temperatures, relative humidity and rainfall exhibited strong positive linear relationship and influenced the occurrence of alternar ia leaf blight disease significantly. We also developed a geo-phytopathological model for the prediction of alternaria leaf blight disease of makhana on the basis of congenial mean temperature and relative humidity.
Male Social Representations regarding Family Planning

Objective: To know the social representations of men participating in a family planning program. Method: Exploratory, descriptive research, with qualitative approach, carried out in Campo Grande-MS. The participants were 54 men: 31 had already undergone vasectomy and 23 were intending to undergo the method. A structured form containing characterization data was used and an open interview was also conducted with the guiding question: “what is your opinion about family planning? ” The collective subject discourse method and the Theory of social representations were used to organize the results. The research was approved by the ethics committee. Results: Of the participants, 47.9% were married and the mean age was 35.8 years (±7.23). The majority, 33.3%, have three children and a family income of two minimum wages (40.7%) (±1.25). The statements comprised six collective subject discourses, organized in positive social representations: satisfaction with vasectomy, controlling the number of children, satisfaction with the family composition and preservation of the partner’s health, and negative ones: fear related to the procedure and difficult access. Conclusion: The social representations of the participants were positive in relation to vasectomy, which demonstrates that some men postulate the definitive method of family planning, even if access still requires improvements.
Drivers of the reduction in childhood diarrhea mortality 1980-2015 and interventions to eliminate preventable diarrhea deaths by 2030

Background Childhood diarrhea deaths have declined more than 80% from 1980 to 2015, in spite of an increase in the number of children in low- and middle-income countries (LMIC). Possible drivers of this remarkable accomplishment can guide the further reduction of the half million annual child deaths from diarrhea that still occur. Methods We used the Lives Saved Tool, which models effects on mortality due to changes in coverage of preventive or therapeutic interventions or risk factors, for 50 LMIC to determine the proximal drivers of the diarrhea mortality reduction. Results Diarrhea treatment (oral rehydration solution [ORS], zinc, antibiotics for dysentery and management of persistent diarrhea) and use of rotavirus vaccine accounted for 49.7% of the diarrhea mortality reduction from 1980 to 2015. Improvements in nutrition (stunting, wasting, breastfeeding practices, vitamin A) accounted for 38.8% and improvements in water, sanitation and handwashing for 11.5%. The contribution of ORS was greater from 1980 to 2000 (58.0% of the reduction) than from 2000 to 2015 (30.7%); coverage of ORS increased from zero in 1980 to 29.5% in 2000 and more slowly to 44.1% by 2015. To eliminate the remaining childhood diarrhea deaths globally, all these interventions will be needed. Scaling up diarrhea treatment and rotavirus vaccine, to 90% coverage could reduce global child diarrhea mortality by 74.1% from 2015 levels by 2030. Adding improved nutrition could increase that to 89.1%. Finally, adding increased use of improved water sources, sanitation and handwashing could result in a 92.8% reduction from the 2015 level. Conclusions Employing the interventions that have resulted in such a large reduction in diarrhea mortality in the last 35 years can virtually eliminate remaining childhood diarrhea deaths by 2030.
Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser

Deep neural networks have provided state-of-the-art solutions for problems such as image denoising, which implicitly rely on a prior probability model of natural images. Two recent lines of work – Denoising Score Matching and Plug-and-Play – propose methodologies for drawing samples from this implicit prior and using it to solve inverse problems, respectively. Here, we develop a parsimonious and robust generalization of these ideas. We rely on a classic statistical result that shows the least-squares solution for removing additive Gaussian noise can be written directly in terms of the gradient of the log of the noisy signal density. We use this to derive a stochastic coarse-to-ﬁne gradient ascent procedure for drawing high-probability samples from the implicit prior embedded within a CNN trained to perform blind denoising. A generalization of this algorithm to constrained sampling provides a method for using the implicit prior to solve any deterministic linear inverse problem, with no additional training, thus extending the power of supervised learning for denoising to a much broader set of problems. The algorithm relies on minimal assumptions and exhibits robust convergence over a wide range of parameter choices. To demonstrate the generality of our method, we use it to obtain state-of-the-art levels of unsupervised performance for deblurring, super-resolution, and compressive sensing.
Accurate Point Cloud Registration with Robust Optimal Transport

This work investigates the use of robust optimal transport (OT) for shape matching. Specifically, we show that recent OT solvers improve both optimization-based and deep learning methods for point cloud registration, boosting accuracy at an affordable computational cost. This manuscript starts with a practical overview of modern OT theory. We then provide solutions to the main difficulties in using this framework for shape matching. Finally, we showcase the performance of transport-enhanced registration models on a wide range of challenging tasks: rigid registration for partial shapes; scene flow estimation on the Kitti dataset; and nonparametric registration of lung vascular trees between inspiration and expiration. Our OT-based methods achieve state-of-the-art results on Kitti and for the challenging lung registration task, both in terms of accuracy and scalability. We also release PVT1010, a new public dataset of 1,010 pairs of lung vascular trees with densely sampled points. This dataset provides a challenging use case for point cloud registration algorithms with highly complex shapes and deformations. Our work demonstrates that robust OT enables fast pre-alignment and fine-tuning for a wide range of registration models, thereby providing a new key method for the computer vision toolbox. Our code and dataset are available online at: https://github.com/uncbiag/robot.
Development of a butterfly hysteresis structure for dielectric elastomer-actuated systems

Butterfly hysteresis behaviors show more complicated characteristics than single-loop hysteresis behaviors, which include two crossed single loops in opposite orientation. Most available hysteresis models used for describing the single-loop hysteresis behavior fail to predict the butterfly hysteresis. Therefore, it is a great challenge to build a hysteresis model to describe the butterfly hysteresis behavior. To this end, butterfly hysteresis operators including the butterfly play operator, the butterfly Krasnosel’skii–Pokrovskii kernel, and the butterfly asymmetric shift operator, are proposed to describe butterfly hysteresis effects. To further improve the modeling accuracy, a butterfly hysteresis structure containing the butterfly hysteresis operator and the neural networks for weight prediction and unmodeled dynamics is developed. The validation of the proposed structure is carried out on a dielectric elastomer-actuated system.
Investigating the absorption performance of a monolayer-coated absorber at oblique incidence

There is a widely observed phenomenon in the microwave absorption field that an absorber always exhibits good oblique incidence absorption capacity if it has high performance at normal incidence. However, if a certain angle is exceeded, this kind of effective absorptive capacity will no longer be maintained. Besides, an absorber performs differently for incident transverse electric (TE) and transverse magnetic (TM) waves: for the TE case, the absorber can no longer obtain effective absorption; for the TM case, another efficient absorption region was observed at higher frequencies even when the incident angle exceeded 80°. These phenomena are widely found in the literature, which demonstrates that they are caused by physical laws rather than material properties. To demonstrate the underlying reason, in this study, the common spherical carbonyl iron-polyurethane composite absorbers were fabricated as a typical example. Their absorbing performance was investigated via both simulation and experiment. All the phenomena mentioned above were observed, studied in detail by employing the multiple reflection model, and explained quantitatively. Further, along with establishing the underlying mechanism of electromagnetic wave transmission in the absorber, two formulas were deduced to predict: (a) the maximum incident angle for efficient absorption of the TE polarized wave; and (b) the required absorber thickness for obtaining efficient absorption for a large incident angle of the TM polarized wave.
ASSESSMENT OF KNOWLEDGE, ATTITUDES, AND TRADITIONAL PREVENTIVE PRACTICES OF THE MOTHERS TOWARD VITAMIN (D) DEFICIENCY AMONG CHILDREN IN THE MIDDLE EUPHRATES PEDIATRIC TEACHING HOSPITALS

A descriptive study design1carried out to assess1the mother's knowledge, attitudes and traditional practices toward vitamin D deficiency1among early childhood1in the middle Euphrates teaching pediatric hospitals1 through the period December 1st, 2020 to April 10th 2021. The study sample includes (586) mothers1of children under15 years selected1 by using non probability1 (convenience participants) from 4 teaching hospitals in the Middle Euphrates. The study instrument is a questionnaire composed of 4 parts include: sociodemographic characteristic , knowledge, attitudes, and traditional practices1 about vitamin D deficiency1. The data collected from the respondents by using self-administrative method and interview. Content validity1of the instrument was determined by panel of experts1, while the reliability of the questionnaire1determined by internal consistency reliability (Cronbach ́s Alpha reliability) , and analyzed electronically by (SPSS) application. The study findings indicated that mothers age at mean (28.39) 1 and SD. (5.86) , 63.3% urban resident, 55.5% from extended families, 39.4%1of mothers have 21children, 66%1not working, 38.1%1primary school1education, and 61.6%1of them have sufficient1to some extent. (99.8%) of mothers had low knowledge, (94.5%)1for negative attitudes1, & (94%) for low practices about vitamin D deficiency. There is highly significant1relationship between mothers‟ attitudes and traditional practices at P value 0.001. 1The study concluded1that mothers along the Middle Euphrates; had poor level1of knowledge, negative attitudes, and poor practices1 toward vitamin D deficiency among children.
Slurry erosion behavior of hydro-turbine steel treated cryogenically at different soaking periods

The influence of deep cryogenic treatment on the erosive wear performance of Stainless Steel-316L (SS-316L) used in hydropower plants is studied. For this purpose, several SS-316L samples were held at deep cryogenic temperatures (−196 °C) for different soaking periods (12, 24, 36 h). The erosive wear tests were conducted on a self-fabricated slurry erosion test rig and the same was evaluated by weighing the cumulative mass loss (CML) of samples for every 30 min post erosion. From experimental analysis, it was found that the erosive wear was found to be minimum and the hardness reaches to maximum value after 24 h of the soaking period which could be attributed to the significant microstructural changes such as the transformation of γ-austenite phase into (δ-ferrite+α′-martensite) along with precipitation of numerous carbides after deep cryogenic treatments.
Supplemental Materials: Robust Semantic Segmentation with Superpixel-Mix

Gianni Franchi1 gianni.franchi@ensta-paris.fr Nacim Belkhir2 nacim.belkhir@safrangroup.com Mai Lan Ha3 hamailan@informatik.uni-siegen.de Yufei Hu 1 yufei.hu. 2021@ensta-paris.fr Andrei Bursuc4 andrei.bursuc@valeo.com Volker Blanz3 blanz@informatik.uni-siegen.de Angela Yao5 ayao@comp.nus. edu.sg 1 U2IS ENSTA Paris Institut Polytechnique de Paris 2 Safrantech, Safran Group 3 Department of Computer Science University of Siegen 4 valeo.ai 5 School of Computing National University of Singapore
School vs. Action-Oriented Personalities in the Labor Market∗

How do different dimensions of personality predict school vs. labor-market performance? How has the value of these traits changed over time? We answer these questions using data that includes multidimensional personality and cognitive test scores from mandatory military conscription for approximately 80% of Finnish men. We document that some dimensions of noncognitive skills are productive at school, and some dimensions are counterproductive at school but still valued in the labor market. Action-oriented traits (activity, sociability and masculinity) predict low school performance but high labor market performance. School-oriented traits, such as dutifulness, deliberation, and achievement striving, predict high school performance but are not independently valued in the labor market after controlling for school achievement. We further document that the labor-market premium to action-oriented personality traits has rapidly increased over the past two decades. To interpret the empirical results, we outline a model of multidimensional skill specialization. The model and evidence highlight two paths to labor-market success: one through schooloriented traits and formal skills, and one through action-oriented traits and informal skills.
The alterations of fecal microbiota in dogs with acute diarrhea, Thailand

Acute diarrhea is a common clinical sign in dogs which the pathogenesis has associated with altered gut microbiome compositions and influenced by diet, environment, and medication. However, the impact of gut microbiome on dog health has still not been well elucidated in Thailand. This study aims to investigate the alterations of the fecal microbiome in dogs with diarrhea (<3 days) compared to healthy dogs. Fresh feces were collected once from each dog, and DNA extraction was performed following the QIAamp DNA stool mini kit protocol. The 16s rRNA gene, then, amplified and analyzed by the next-generation DNA sequencing technology. The results showed a significant reduction of the evenness and Shannon index in dogs with the diarrhea group. The most dominant phylum in healthy dogs, Firmicutes, was markedly declined. Additionally, significant decreases in bacterial abundances were observed in twelve genera. To the best of our knowledge, seven of them were first described in their alterations including Clostridium sensu stricto 1, Lachnospiraceae NKA4136 group, Erysipelatoclostridium, Tyzzerella 3, Alloprevotella and Slackia. Therefore, these findings disclose the new possible biomarkers for intestinal diseases and the effect of ordinary diets on the fecal microbiome in dog health, Thailand.