Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Public and Private Health Expenditures on Life Expectancy in Different Countries: Using Panel Data Model

Purpose: This study aims to examine the factors that form the commitment. Design/methodology/approach: The sampling technique used is proportionate stratified random sampling, with 100 respondents and the data collection happens in 2018. Methods of data analysis in this study uses multiple linear regression, with the number of respondents as many as 100 employees. Findings: The result shows that the competence and organizational culture significantly influence the commitment. This implies to the manager that the increase of employee competence and the suitable organization culture are very important in strengthening their employee commitment. Research limitations/implications: The limitation of this research is in the amount of variables that are only three, and only focus in one object. Originality/value: The findings of this research are the new ones, by developing the previous theory, using a new place and time.
An Eddy Current Nondestructive Method for Crack Detection in Multilayer Riveted Structures

Received: 8 June 2019 Accepted: 12 September 2019 It is a challenging task to detect the hidden cracks in multilayer riveted structures in a nondestructive manner. This paper puts forward an eddy current nondestructive method for crack detection in such structures based on the electric conductivity of the rivets. Specifically, an eddy current sensor was designed with a ferrite core coil to evaluate the surface and inner defects of different layers. The magnetic phenomena during the detection process was simulated based on the magnetic potential and the scalar electrical potential, and the magnetic potential vector was solved by finite-element method. The proposed method was compared with the eddy current detection method without considering rivet conductivity through an experiment on a three-layer riveted aluminum structure. The length and position of each defect on each layer were changed in the experiment. The results show that the proposed method achieved better accuracy than the contrastive method, and its sensitivity depends on two issues: the position of the defect relative to the separation of the layers and the length of the defect relative to the length of the rivet head. The research results are of great significance for nondestructive testing of multilayer riveted structures in many fields.
On the Interaction between Wind Stress and Waves: Wave Growth and Statistical Properties of Large Waves

Statistical properties and development of wave fields with different wind forcings are investigated through parametric laboratory experiments. Thirty different, random sea states simulated using a JONSWAP spectrum are mechanically generated in deep-water conditions. Each of the random simulated sea states is exactly repeated but subjected to a range of different wind speeds to study the interaction between wind stress and the existing random sea state waves, especially the isolated effect of the wind stress on the largest waves. Wave crest distributions are sensitive to the wind at the extreme end such that there is an observed deviation from second-order theory for the largest (lowest probability) waves at high wind speed. Because the local wave steepness increases with wind speed, eventually reaching a breaking point, the growth of extreme waves (relative to the significant wave height) due to wind stress is shown to be limited by wave breaking. Even when large waves are breaking, the data reveal that amplitude modulation of wave groups is enhanced substantially as the wind speed increases due to the difference in growth rates between the highest and the lowest wave crests in a wave group. However, there is no evidence of an increase in modulation instability with the wind speed, suggesting that the wind–wave interaction under strong wind forcing dominates the wave growth mechanism over nonlinear wave interactions in a broadband wave field.
Private Disclosure and Corporate Value Creation

The major aim of this paper is to investigate the content of disclosure using crucial case study. Private disclosure has content structure and it is useful in processing value creation. By doing private disclosure, the information of intellectual capital gets perceived by market participants. Disclosure Transformation Theory (Alberti ‐ Alhtaybat, Hutaibat, & Al ‐ Htaybat, 2012) was tested through the observation and analysis of the private disclosure functions. This study also expands the view of how the narrative of the corporate value creation is structured and how the corporate knowledge becomes an important part of the dynamic response of the disclosure that changed over time. This study observes new findings regarding intellectual capital disclosure as well as disclosure content in PT. Bank Negara Indonesia Tbk (BNI). BNI has disclosed information value creation in three processes; hierarchy, horizontal, and network by organizing private disclosure media in order to respond on user information needs. This agenda uses analysts as information mediators. Other findings are that private disclosure is a source of information that creates information toward a market context of participants to interpret the information in a more appropriate way, the information in private disclosure has superior knowledge in the initial formulation, and in controlling the portfolio risk of assets allocation to the analyst. Private disclosure has important implications for regulatory policies regarding insider information, corporate disclosure, and corporate governance in financial institutions.
Optimal Performance of Micro-grids Networks with Uncertainty using Game Theory Coalition Formulation Strategy

The demand for energy is constantly increasing, which is pushing the limitations of the current grid, increasing reliance on fossil fuels, and increasing CO2 emissions. These concerns have renewed interest in discovering ways to reduce power demand on the grid through renewable energy. However, the distribution characteristics of renewable energy make it difficult to integrate effectively into the traditional power grid. As power networks increase in scale, the drawbacks of the conventional grid, such as high cost and difficult operation, will become more apparent, and it will no longer meet increasing safety, reliability, and diversity. Therefore, applying efficient methods to improve the performance of micro-grids is necessary. In this paper the application of CRPSO algorithm based on the game theoretic formulation strategy was proposed to reduce the exchange of power between the macro station and micro-grids. The objective function of optimization involves minimizing the cost of power, loss, communication and load shedding. The advantages have caused the load of the micro-grids to be implemented as much as possible through the exchanges between the micro-grids and the cost of utilization and power supply of the loads to be minimized. Uncertainties in wind speed and solar radiation flux are also considered for the purpose of applying the random property of the distributed generation resources. The simulation results on the 33rd IEEE standard system in different scenarios indicate the desired performance of the proposed method.
Parametric identification of the joint distribution of the potential outcomes

We show the identification of the joint distribution of the potential outcomes under various parametric specifications. The key factor of the identification is the nonnormality of the distribution of the observed variables, with which we can obtain information of higher order moments that are not determined only by mean and variance. In particular, we show the identification of the joint distribution of the potential outcomes when it is specified by a normal mixture. Because any continuous distribution can be well approximated by a finite mixture distribution, our result may cover a wide class of distributions. The identification results derived are useful for estimating quantile treatment effects, causal mediation effects, and heterogeneous treatment effects, which cannot be estimated even if the unconfoundedness assumption is satisfied.
VALIDITY OF THE MAXIMAL AEROBIC CAPACITY ESTIMATED FROM SUBMAXIMAL CYCLING EXERCISE AND FIELD PERFORMANCE TESTS IN THE ELDERLY

Although maximal oxygen uptake (VO2max) or oxygen uptake corresponding to lactate threshold (VO2@LT) is considered the single best determinant of one's cardio-respiratory endurance or aerobic capacity, the direct measurement of these attributes requires elaborate equipment, trained personnel, special knowledge, and/or a maximal effort on the part of the subject who is tested. In addition, the measurement is time consuming. The current investiga tion was designed to examine the validity of aerobic capacity estimated from submaximal cycling exercise and field performance tests in the elderly. The subjects tested were 18 sed entary men and women aged 63 to 75 years (69.7•}3.4). Indirect VO2max tests were selected from those proposed by Astrand and Ryhming, Siconolfi et al., and Margaria et al. (step test), and YMCA. The VO2max values estimated by these methods, with the exception of the Siconolfi method, were found to have large errors when compared to the errors obtained in previous studies for younger subjects. There were no significant correlations between step test scores and VO2max and V02@LT in the elderly. Correlations of 12-min distance walk with VO2max (r=.711) and V02@LT (r=.714) were significant. Our findings suggest that 12min distance walk be a better aerobic capacity test than other indirect VO2max tests includ ing Astrand and Ryhming test. (Jpn. J. Phys. Fitness Sports Med. 1992, 41: 295•`303) key words: Elderly, VO2max, Indirect VO2max, 12-min distance walk
Fear and Hope, Bitter and Sweet: Emotion Sharing of Cancer Community on Twitter

Emotions are non-negligible parts of the experience among the cancer-affected population to be reckoned with. With the increasing usage of social media platforms as venues for emotional disclosure, we ask the question, what and how are the emotions of the cancer community being shared there? Using a deep learning model and social network analysis, we investigated emotions expressed in a large collection of cancer-related tweets. The results showed that joy was the most commonly shared emotion, followed by sadness and fear, with anger, hope, and bittersweet being less shared. In addition, both the gatekeepers and influencers were more likely to post content with positive emotions, while gatekeepers refrained themselves from posting negative emotions to a greater extent. Last, cancer-related tweets with joy, sadness, and hope received more likes, whereas tweets with joy and anger were more retweeted. The implications of the findings are discussed in the context of social media health communities.
The histone variant macroH2A1.1 regulates gene expression by direct association with their transcription start site

The histone variant macroH2A1 (mH2A1) is involved in cellular growth, differentiation and reprogramming, but the underlying molecular mechanisms are a matter of debate. Different roles of mH2A1 in gene expression may relate to functional differences of its two splicing isoforms, mH2A1.1 and mH2A1.2. Here, we map for the first time genome-wide localization of endogenous mH2A1.1 and link the distribution of mH2A1.1 to control of gene expression in human breast cancer cells. In addition to localization shared with mH2A1.2 to facultative heterochromatin, mH2A1.1 specifically associates with regulatory elements required for gene activation, super-enhancers and promoters of highly expressed genes. Depending on the recruitment profile of mH2A1.1 to these elements, selective depletion of mH2A1.1 up- or downregulates its target genes. mH2A1.1 represses transcription when its binding is spread over the entire gene and promoter, and activates transcription when its binding is strictly confined to the transcription start site (TSS). Notably, RNA Polymerase II was frequently in pause at mH2A1.1-activated genes. Functionally, mH2A1.1-dependent regulation of a subset of paused genes impedes mammary tumor cell migration. Molecular mechanisms of mH2A1.1 function at the TSS uncovered by our study define an intriguing new mode of transcription regulation in cancer cells.
A Retrospective, Single Center, Observational Study, Comparing the DirectCost of End-Of-Life Care Patients with Advanced Cancer Care: PalliativeCare versus Usual Care

Background: Palliative care focuses on relieving and preventing the suffering of terminal ill patients. There are evidences from western countries of approved benefit of hospital palliative care consultation. They have been shown that it improves quality of care and associates with hospital cost savings. Objectives: We examined whether elected palliative care was associated with any significant cost differences for the hospital. Methods: We performed single institution (Srinagarind Hospital, Northeast Thailand), retrospective (between October 1, 2011 and September 30, 2012), observational, direct cost analysis. The sample included 52 (29.4%) hospitalized patients receiving palliative care and 125 (70.6%) under usual care. Three advanced types of cancers were included: hepatocellular carcinoma, cholangiocarcinoma and lung cancer. We adjusted cost with Diagnosis- Related Group (DRG), age, sex, length of hospital stay and comorbidity score and then compared the direct cost per admission. Results: There was no difference in the overall demographic data between the two study groups. Whilst palliative care patients with hepatocellular carcinoma undergone endotracheal intubation significantly less often (P=0.025) than usual care patients and less likely to be admitted to ICU (P=0.001). Palliative care patients with lung cancer were also most unlikely to be intubated (P<0.001) when compared to usual care patients. After adjusting for age, sex, length of hospital stay and the comorbidity scores, the adjusted net savings for the care of palliative patients was 16,669 baht per person (P=0.035) compared to usual care patients. Conclusion: The cost analysis of terminal ill patients demonstrated that hospital-based palliative care over against usual care had lower costs and utilized intensive care less.
The SelectMD 2.0 Provider Choice Experiment: Methodological Overview

This document has not been formally edited. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors. is a registered trademark. ii Preface This document provides a detailed methodological overview of the SelectMD 2.0 provider choice experiment. This study uses an experimental design to test different methods of incorporating patient comments along with Consumer Assessment of Healthcare Providers and Services (CAHPS) survey results, Healthcare Effectiveness Data and Information Set (HEDIS)-like measures of effective clinical treatments, and indicators of patient safety in web-based physician quality reports. In addition, the study allowed for exploration of the role of patient navigators in affecting provider choice. The study aims to help the Agency for Healthcare Research and Quality (AHRQ) better understand how people choose a doctor as their regular source of medical care and advice. The SelectMD 2.0 provider choice experiment and the preparation of this report were supported by two cooperative agreements from AHRQ (2U18HS016980 and 1U18HS016978) to RAND and Yale University, respectively. This study was reviewed and approved by the RAND Human Subjects Protection Committee, RAND's Institutional Review Board (IRB) to review research involving human subjects. Acknowledgments We would like to thank the following people who helped the SelectMD 2.0 experiment come to fruition: for providing on-site supervision of the patient navigators x Caren Ginsberg and Chris Crofton, our project officers at ARHQ, for their support of this study x Lacey Rose Barre for her work developing the coding scheme for open-ended responses on the survey questions and other research assistance x Lane Hanson and Chaz Felix for their work coding open-ended survey responses x Bennie Osafo-Darko at Westat for her support of our team's research. The SelectMD 2.0 study used an experimental design to test different methods of incorporating patient comments about providers along with CAHPS survey results, HEDIS-like measures of effective clinical treatments, and indicators of patient safety in web-based physician quality reports. In addition, the study allowed for exploration of the role of patient navigators in affecting provider choice. The SelectMD 2.0 experiment was designed to achieve the following goals, each elaborated in more detail below: 1. Provide further insight into how to incorporate patient comments into health care quality reporting sites. 2. Test the effects of the provision of roll-up measures on decisionmaking. 3. Test the effects of patient navigators on decisionmaking. Provide further insight into how to incorporate patient comments into health care …
Digital Coaching - An Exploratory Study on Potential Motivators

The objective of our study is to explore the importance of different sets of functionalities in a digital coaching system. Digital coaching is defined as systems providing the user with actionable advice and feedback to reach fitness goals . From previous research we identify five sets of functionalities likely to be important in the digital coaching context: mental support, exercise programs, goal setting, feedback and social functionality. We employ Fuzzy-set Qualitative Comparative Analysis to understand users’ opinions of digital coaching. Our results highlight the importance of exercise programs and goal setting functionality, whereas feedback and social functionality are surprisingly not so important. Some gender-related differences emerge.
Prevalence of Erectile Dysfunction in Patients with Diabetes Mellitus and Its Association with Body Mass Index and Glycated Hemoglobin in Africa: A Systematic Review and Meta-Analysis

Background: Mortality and morbidity in patients with diabetes mellitus (DM) is attributed to both the micro vascular and macro vascular complications. Variation among primary studies was seen on the prevalence of erectile dysfunction in Africa. Therefore this study was aimed to estimate the pooled prevalence of erectile dysfunction patients with diabetes mellitus and its association with body mass index and glycated hemoglobin in Africa. Methods: PubMed Web of Science Cochrane library Scopus Psyinfo Africa online journal and Google Scholar were searched. A funnel plot and Egger s regression test were used to see publication bias. I squared statistic was used to check heterogeneity of studies. DerSimonian and Laird random effects model was applied to estimate the pooled effect size. The subgroup and Meta regression analysis were conducted by country sample size and year of publication. Sensitivity analysis was deployed to see the effect of single study on the overall estimation. STATA version 14 statistical software was used for meta analysis. Result: A total of 20 studies with 5 177 study participants were included to estimate the pooled prevalence. The pooled prevalence of erectile dysfunction patients with diabetes mellitus was 61.62% (95% CI: 48.35, 74.9). BMI greater than or equal to 30kg/m2 (AOR = 1.26; 95% CI: 0.73, 2.16) and glycated hemoglobin greater than or equal to 7%(AOR = 0.93; 95% CI: 0.5, 5.9) were identified factors though not statistically significant associated with erectile dysfunction. Conclusions: The prevalence of erectile dysfunction in Africa remains high. Therefore, situation based interventions and country context specific preventive strategies could be developed to reduce the magnitude of erectile dysfunction among patients with diabetes mellitus. Keywords erectile dysfunction impotence sexual dysfunction diabetes mellitus Africa
Das Konzept «Übersetzen» in der digitalen Transformation

Der Prozess des Übersetzens ändert sich derzeit grundlegend. Maschinelles Übersetzen / machine translation (MT) natürlichsprachlicher Sätze und Texte hat in den vergangenen Jahren insbesondere durch den Einsatz künstlicher Intelligenz enorme Dynamiken entfaltet. Für einen grossen Teil der Endanwender*innen in unserer Gesellschaft bedeutet dies eine starke Vereinfachung: Fremdsprachige Textelemente lassen sich dank Diensten wie google-Translate und DeepL schnell und kostengünstig in beachtlicher Qualität übersetzen. Insofern erscheint den meisten Menschen diese neue Form des Übersetzens als Ergebnis des technischen Fortschritts. Auf der anderen Seite wird rege diskutiert, was die Rolle menschlicher Übersetzung sein soll : Einerseits wird auf die qualitativen Mängel maschineller Übersetzung verwiesen und hervorgehoben, worin der Mehrwert menschlicher Übersetzungen liegt ; andererseits wird argumentiert, dass Mensch und Maschine sich gegenseitig ergänzen und so zu effizienteren und besseren Übersetzungen kommen können. Diskussionen über das Übersetzen können als metasprachliche, also sprachreflexive, Diskurse angesehen werden, denn es werden Aussagen über sprachliches Handeln getroffen (Kapitel 2). Darüber hinaus kann das Übersetzen selber im Anschluss an Spitzmüller2 als Metapragmatik bezeichnet werden. Denn Übersetzen ist eine sprachliche Praxis, die die Sprachverwendung eines Ausgangstextes reflektiert und daraus neue Sprachhandlungen produziert, nämlich den übersetzten Text. Dieses metapragmatische Handeln konstruiert eine bestimmte Vorstellung von Sprache, z. B. dass ein Ausgangstext in einer Einzelsprache vorliegt und in eine andere Einzelsprache übersetzt werden kann. Das metapragmatische Handeln findet also in einem bestimmten Handlungsrahmen statt, in dem bestimmte Sprachideologien dominieren. Diese können aber sehr unterschiedlich ausfallen
Neural Network Model for Mathematic Scores Prediction: Case Study in SMK Negeri Pakis Aji, Jepara, Indonesia

Aim of this research is to apply Neural Network Algorithm to predict score of mathematic in the national exam. During the time, the teacher only provided national exam materials and additional tryout tests without knowing how to predict the exam scores in mathematics subject. Data mining neural network algorithm obtained \Root Mean Square Error (RMSE) values which were used as basic improvement and clustering class By conducting research using data mining neural network algorithm, it proved that this model can be used to predict scores of Mathematics subject at SMK Negeri 1 Pakis Aji. The result of this research by using data mining neural network algorithm found RMSE 0138 +/- 0.092. The lower the RMSE values the more accurate the neural network to predict mathematics scores of SMK Negeri 1 Pakis Aji. Received: 18 Agustus 2019; Accepted: 5 Januari 2020; Published: 14 January 2020
Shannon entropy and Fisher information for screened Kratzer potential

In this paper, the Shannon entropy and Fisher information are studied for the screened Kratzer potential model (SKP). We calculated the position and momentum entropies for the screened Kratzer potential for its ground states as well as the ﬁrst excited state. Our result shows that the sum of the position and momentum entropies satisﬁes the lower bound Berkner, Bialynicki–Birula and Mycieslki (BBM) inequality. Also, our results showed that decreasing Shannon entropy in the position space was complemented with an increasing Shannon entropy in the momentum space. Similarly, we evaluated for Fisher information and show that the Stam, Cramer-Rao inequalities are satisﬁed. The squeezing phenomena were also observed for certain values of the screening parameter α.