Miracle-dz/UniFAR-FTUs huggingface dataset:
Spectrophotometric Study to Evaluate Chewing Efficiency in Partially Edentulous Patient's Pre and Post Fixed Prosthodontic Rehabilitation

Background: In this study, masticatory efficiency of patients with unilateral missing mandibular 1st molar were evaluated pre and post rehabilitation with three unit fixed partial denture prosthesis. Six male and four female patients within the age range of 17-35 years and who had no cranio-mandibular disorder, any obvious malocclusion, or extensive restoration were included. Evaluation of masticatory efficiency was done by spectrophotometry and raw carrot was used as test material. To see the difference, among the groups, pre and post rehabilitation Masticatory efficiency was tested using spectrophotometer once again on experimental side and control side were recorded. Paired samples t-test was applied for statistical data analysis. Result: The mean and standard deviation of masticatory efficiency for pre and post rehabilitation changes on experimental side was 0.6940. 749; 0.8850.752 and for control side was 0.8840.698; 0.9940.675 respectively. The difference between the two groups was statistically significant at p<0.01 levels. Conclusion: Masticatory efficiency were decreased on experimental (missing mandibular 1st molar) side as compared to the control side (intact dentition) before rehabilitation. Post rehabilitation, there was an increase Masticatory Efficiency in all the Patients.
Health Care Utilization Inequality in a Mixed Public-Private Health Care System: An Insight from the National Survey in Iran

Background: Equitable health care utilization is a pillar of the Universal Health Coverage (UHC) and is also a concern to policymakers. Measuring and quantifying the inequalities are essential in assessing the progress toward achieving the UHC goals. Several studies have focused on overall measures of unfair inequality in health care utilization. The overall approaches to outpatient and inpatient services are not representative of the differences in health care usage in public and private sectors in a mixed healthcare system, like Iran. A few studies have assessed inequality measures for general practitioners (GPs), specialists (SPs), and hospital admission services in different sectors, separately. Objectives: This study aimed at measuring health care utilization inequalities in outpatient and inpatient health services in public and private sectors in Iran. Methods: In this study, national representative data derived from the utilization of health services survey (UHSS) in 2014 was used. The concentration curve (CC) and concentration index (CI) were applied to assess inequalities in health care utilization services, including the number of GP visits, SP visits, and admission in hospitals. We used ADePT software to produce a nonlinear estimation of CI for these count variables. The indirect standardization method was used to standardize the services for differences in needs by age and gender. The inequality in health care utilization was examined in both public and private sectors, separately. Results: Based on the results, public and private outpatient settings, except for the private GP visits, followed a pro-poor pattern. Inpatient admission in the public sector had a pro-poor model, but it showed a pro-rich pattern in the private sector. GP visits in the private sector changed in favor of the poorer people and SP visits in the public sector changed toward a pro-rich pattern after standardization for differences in needs. CI for family physician (FP) and GP visits in public and private sectors, and also SP visits in public and private sectors was -0.089, -0.086, -0.010, 0.025, and -0.018, respectively. CI for the inpatient admission in public and private sectors was -0.126 and 0.157, respectively. GP, SP and hospital services utilization showed a pro-poor pattern. Conclusions: The results of this study showed that most of the health care utilization followed a pro-poor model in the mixed health care system in Iran. SP visits in the public sector changed toward a pro-rich pattern after standardization for differences in needs. Although public outpatient services need more attention to maintain their pro-poor distribution, SP visits in the public sector should be more considered to follow a pro-poor pattern. Health policymakers are recommended to take measures to eliminate barriers to access this service. This may lead to reduce a gap between the poor and rich people in the utilization of the health care and moving toward the UHC.
The role of classroom socio-pragmatic instruction in overcoming students’ miscummunication problems.

Social (in)appropriacy in language use is a construct of variation across cultures, languages, and speech situations. This study sets forth an exploratory discussion to EFL teachers’ instruction in and consciousness, as well as students’ awareness, of the construct of socio-pragmatics. It also runs an initiative to integrating socio-pragmatics awareness-raising intervention in EFL classes in order to improve their conversational discourse performance. A quasi-experimental design is adhered to using an observational method, questionnaires, and T-tests, in a form of Discourse Completion Tasks (DCTs) to measure teachers and students’ awareness of socio-pragmatics, and to explore tutors’ instruction in the construct. The findings demonstrated students’ noticeable lack of awareness about socio-pragmatics. Although teachers held sufficient consciousness levels of socio-pragmatics, most of them showed scarce socio-pragmatics instruction in their classes. In parallel, students demonstrated statistically significant differences in their conversational discourse performance before and after the implementation of the intervention. It is then advocated that instruction in L2 socio-pragmatics be laid a particular attention and be integrated in EFL learning settings. Key Terms: Conversational Discourse, Socio-pragmatics, EFL teaching/learning, Awareness-raising Intervention. Language Use.
Short-term WASH interventions in emergency response: a systematic review

screening – Included documents from the title screening were independently assessed by two reviewers based on the abstract or executive summary. In addition to the first filter criteria, development and protracted contexts and long-term projects of more than 12 months were eliminated. If a document was approved by either reviewer, the document was approved for full text screening. Full text screening – Included documents from the abstract screening were independently assessed by two reviewers to determine if the documents adhered to all the previous criteria and included at least one of the four intermediate outcomes or final impacts. Both reviewers needed to be in agreement for the study to be included in the review. Any discrepancies were discussed by a third member of the review team for a final decision. Throughout the screening process, references were managed with Endnote X7 (New York, NY) and Microsoft Excel 2010 (Redmond, WA, USA). 3.3 Data collection and management For included studies, data collection was done with a detailed coding sheet using Microsoft Excel 2010. Data collection included: author and publication details, type of intervention, context of the intervention, study design, study quality, effect estimation, intermediate outcomes and final outcome. The data collection template is included as Appendix D. Data collection was completed by four research assistants and independently double screened to ensure accuracy.
A Novel Algorithm Checking for the Line Layout in a Factory

For Industry 4.0, changing lines in a factory is happen very frequency. In this case, sometimes we make a missing layout of processing machines on the line. We can know the layout information which is the machine’s location and orientation in advance. And we can get the relative location information between machines from the image file taken by the camera. In this paper, we propose a novel algorithm in order to find a missing layout from these information using the augmented reality technology. We consider the RoboCup Logistics League which is one of the autonomous mobile robot competitions which assume the factory automation. We make the 1/10 size field of this robot competition in order to show the performance of our prototype system. By our proposed algorithm, we can change the layout of lines more frequency and easier.
Efficiency‐Adjusted Public Capital, Capital Grants, and Growth

A debate on whether capital grants, and especially European Union (EU) funds, actually contribute to growth has gained prominence lately. This article empirically assesses the relationship between the quality of public investment, capital grants, and growth in a sample of 43 emerging and peripheral economies over 1991–2015. To this end, the contribution of public capital to growth is estimated using efficiency‐adjusted public capital stock series, which reflects the quality of public investment management institutions. In addition, the determinants of effective public investment are analyzed. The results suggest that capital grants contribute positively to effective public investment, and the latter is significant in explaining variations in economic growth. Finally, the article illustrates the impact of raising EU funds absorption on potential growth in emerging and peripheral EU countries.
Incremental Response Generation Using Prefix-to-Prefix Model for Dialogue System

A spoken dialogue system that is currently deployed in many devices cannot respond to a user with a natural switching pause. One of the reasons is that the conventional system generates the response with the pipe-line of several processes, such as speech recognition, response generation, and speech synthesis. The dialogue system should process the user’s utterance and generate the response incrementally to achieve natural turn-taking as human-being. In this paper, we examined an incremental response generation method based on a Prefix-to-Prefix model, which is proposed for simultaneous machine translation. This model has a similar structure with the Sequence-to-Sequence model, which is successfully applied to the response generation. We conducted several experiments to confirm the effectiveness of the Prefix-to-Prefix model for incremental response generation.
Analisis Fraud Diamond Dalam Mendeteksi Kecurangan Laporan Keuangan (studi Empiris Pada Perusahaan Manufaktur Yang Terdaftar Pada Bursa Efek Indonesia Periode 2015-2017)

Dalam menyajikan laporan keuangan, perusahaan pasti ingin menunjukkan bahwa perusahaannya dalam kondisi yang baik. Tujuannya adalah agar keputusan yang diambil oleh pengguna laporan keuangan sesuai harapan. Untuk itu, guna mencapai hal tersebut terkadang laporan keuangan sengaja dimanipulasi dan tindakan kecurangan tersebut disebut sebagai fraud. Tujuan penelitian ini adalah untuk mengetahui pengaruh secara parsial dan simultan dari pressure, opportunity, rationalization dan capability yang termasuk dalam fraud diamond terhadap financial statement fraud pada perusahaan manufaktur yang terdaftar pada Bursa Efek Indonesia (BEI) periode 2015-2017. Populasi pada penelitian ini adalah perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia (BEI) tahun 2015-2017. Teknik sampling yang digunakan adalah metode purposive sampling dan diperoleh 270 sampel. Analisis data menggunakan teknik analisis regresi logistik dan diolah dengan software IBM SPSS Statistics 25. Hasil penelitian menunjukkan financial target, external pressure, nature of industry, ineffective monitoring, perubahan auditor dan perubahan direksi berpengaruh secara simultan terhadap financial statement fraud. Secara parsial, external pressure dan ineffective monitoring berpengaruh terhadap financial statement fraud. Sedangkan financial target, nature of industry, perubahan auditor dan perubahan direksi tidak berpengaruh terhadap financial statement fraud. Kata Kunci: tekanan, kesempatan, rasionalisasi, kemampuan, kecurangan laporan keuangan. ABSTRACT In presenting financial statements, the company definitely wants to show that the company is in good condition. The goal is that the decisions taken by users of financial statements are as expected. For this reason, in order to achieve this, sometimes financial statements are deliberately manipulated and such fraudulent actions are referred to as fraud. The purpose of this study was to determine the effect of partial and simultaneous pressure, opportunity, rationalization and capability included in diamond fraud on financial statement fraud on Manufacturing Companies Listed in Indonesian Stock Exchange Period 2015-2017. The population in this study are manufacturing companies listed on the Indonesia Stock Exchange (BEI) in 2015-2017. The sampling technique used was purposive sampling method and obtained 270 samples. Data analysis using logistic regression analysis techniques and processed with IBM SPSS Statistics 25 software. The results showed that the financial target, external pressure, nature of industry, ineffective monitoring, changes in auditors and changes in directors had a simultaneous effect on financial statement fraud. Partially, external pressure and ineffective monitoring affect financial statement fraud. While financial targets, nature of industry, auditor changes and changes in directors do not affect the financial statement of fraud. Keywords: pressure, opportunity, rationalization, capability, fraud financial statement
Recalling Experiences: Looking at Momentary, Retrospective and Global Assessments of Relationship Satisfaction

Relationship satisfaction can be assessed in retrospection, as a global evaluation, or as a momentary state. In two experience sampling studies (N = 130, N = 510) the specificities of these assessment modalities are examined. We show that 1) compared to other summary statistics like the median, the mean of relationship satisfaction states describes retrospective and global evaluations best (but the difference to some other summary statistics was negligible); 2) retrospection introduces an overestimation of the average annoyance in the relationship reported on a momentary basis, which results in an overall negative mean-level bias for retrospective relationship satisfaction; 3) this bias is most strongly moderated by global relationship satisfaction at the time of retrospection; 4) snapshots of momentary relationship satisfaction get representative of global evaluations after approximately two weeks of sampling. The findings extend the recall bias reported in the literature for retrospection of negative affect to the domain of relationship evaluations and assist researchers in designing efficient experience sampling studies.
Young people’s safety beliefs after a spinal cord injury health promotion and awareness presentation

Objective: Adolescence is presented as a vulnerable period for accidental injury, particularly spinal cord injury, given young people’s propensity for risky behaviours. School-based health promotion initiatives provide opportunities for education about the risks associated with dangerous behaviours. In this study, we aimed to describe young people’s safety beliefs before and after a school-based spinal cord health promotion and awareness presentation. The effect of selected demographic characteristics on safety beliefs was also examined. Design: A pre–post design was used to record group and time point differences on a range of specific safety beliefs before and after the presentation. Setting and method: The Spinal Education and Awareness Team (SEAT) from Spinal Life Australia conducted a health promotion and awareness presentation with 1,410 students aged 14–19 years across 13 secondary schools in Queensland, Australia. Presentations took place in regional, metropolitan and provincial city schools. A survey assessing basic demographic characteristics and specific risk behaviours was completed by students before and after the presentation. Results: T-tests and chi-square analyses were conducted to examine time point and group differences in relation to the SEAT presentation and to determine relative risks between subgroups of young people. A total of 705 pre-surveys (50%) and 735 post-surveys (52%) were analysed. Overall, reported beliefs were significantly safer post-presentation compared to pre-presentation (all t > 6.93, p < .001). Rural adolescent boys licensed to drive emerged as a particularly risky sub-group and were over three times (odds ratio [OR] = 3.35, 95% confidence interval [CI] = 1.34, 8.40) more likely than their metropolitan peers to hold less safe beliefs relating to spinal cord injury. Conclusion: Findings indicated that the health promotion and awareness presentation increased awareness of spinal cord injury risk behaviours overall and improved adolescent-related safety beliefs. Licensed adolescent boys from rural areas reported little change in awareness post-presentation, further highlighting the importance of targeted health promotion initiatives in rural areas. Extended research is required to further explore the belief–behaviour interaction in this at-risk population.
Semiconductor Wafer Surface: Automatic Defect Classification with Deep CNN

The rise of artificial intelligence (AI) technologies and the increasing demand for defect-free wafers encourage semiconductor manufacturers to pursue automatic defect classification (ADC). The current ADC system classifies wafer surface defects using optical and Scanning Electron Microscope (SEM) images however manual classification is still a major part of the process and it is not only labour-intensive and slow but also highly prone to human error. This paper explores an ADC system based on deep learning that automatically classifies wafer surface defects, particularly from the metal layers, which brings consistency and speed, allowing for better determination of wafer lifecycle as well as defect root cause analysis in yield management. The proposed method adopts a deep convolutional neural network (CNN) architecture for defect classification using SEM images which can sub-classify defects into respective sizing groups whereby defect size serves as an important indicator of the origin of machine failure. This research observes that the proposed ADC method achieves industrially pragmatic defect classification performance based on experimentations with real semiconductor datasets. This paper investigates the promise of transfer learning for reducing computational cost and improving testing accuracy.
Risk Factors of Breast Cancer in Women at Dr. Moewardi Hospital, Surakarta, Central Java

Background : Breast cancer is a leading type of cancer affecting women around the world. Its incidence is increasing in developed and developing countries. Breast cancer is the leading cause of death among women in Indonesia with 19,731 cases of death in 2014. In addition to mortality, breast cancer causes psychosocial effect in the affected and the family. This study aimed to determine the risk factors of breast cancer in women at Dr. Moewardi Hospital, Surakarta, Central Java. Subje cts and Method : This was an analytical observational study with case control design. The study was conducted at Dr. Moewardi Hospital, Surakarta, from October to December, 2017. A total sample of 200 study subjects consisting of 100 women with breast cancer and 100 women without breast cancer were selected for this study by fixed disease sampling. The dependent variable was breast cancer. The independent variables were age at menarche, age at first pregnancy, parity, duration of breastfeeding, use of fertility hormone, duration of hormonal contraceptive use, and age at menopause. The data was collected Â by questionnaire and analyzed by multiple logistic regression. Results : The risk of breast cancer increased with earlier age at menarche <12 years old (OR= 2.71; 95% CI= 1.06 to 6.96; p= 0.037), delayed age at first pregnancy â‰¥30 years old (OR=3.01; 95% CI= 1.16 to 7.78; p= 0.023), delayed age at menopause â‰¥55 years old (OR=1.07; 95% CI=0.82 to 6.30; p= 0.001), longer hormonal contraceptive use â‰¥10 years (OR=3.25; 95% CI= 1.20 to 9.63 p= 0.003). Conclusion : The risk of breast cancer increases with earlier age at menarche, delayed age at first pregnancy, delayed age at menopause, longer hormonal contraceptive use. Keyword: Breast Cancer, Risk Factor Correspondence:Â Yana Listyawardhani. Masters Program in Public Health, Universitas Sebelas Maret, Jl. Ir. Sutami 36 A, Surakarta 57126, Central Java. Email:yanalistya@gmail.com Journal of Epidemiology and Public Health (2018), 3(2): 118-127 https://doi.org/10.26911/jepublichealth.2018. 03.02. 02 Â
Distribution Analysis of Cerebral Microbleeds in Alzheimer's Disease and Cerebral Infarction with Susceptibility Weighted MR Imaging

Background: Cerebral microbleeds (CMBs) reflect cerebral small vessel disease and has a pathological role in Alzheimer's disease (AD) and stroke according to their distribution. We investigated to determine whether association of CMBs distribution in Korean patients with AD and cerebral infarction by susceptibility weighted imaging (SWI) which is a most sensitive magnetic resonance imaging technique for enhanced detection and localization of CMBs. Methods: Seventy-one patients (AD 30, recent cerebral infarction 21, control 20) were included and 1.5 Tesla SWI was used to image. The Microbleed Anatomical Rating Scale (MARS) was used to localize each CMBs distribution (lobar versus basal ganglia/thalamus [deep], and infratentorial). Results: The prevalence of CMBs was higher in AD and cerebral infarction than controls ( p =0.004). Predilection of the total CMBs (n=71) were in order of lobar, basal ganglia/thalamus (deep), and infratentorial region ( p =0.029). There was only significant predilection of CMBs in basal ganglia/thalamus (deep) region in cerebral infarction compared with AD ( p =0.037) and controls ( p =0.011). However, predilection of CMBs in lobar region than infratentorial region ( p =0.019) in AD, and predilection of CMBs in basal ganglia/thalamus (deep) region than infratentorial region ( p =0.033) in cerebral infarction were significant. Hypertension, a strong risk factor for hypertensive angiopathy was not significant in contributing CMBs prevalence in three groups even though the incidence of hypertension was higher in cerebral infarction than AD and controls. Conclusion: Characteristic predilection pattern of CMBs distribution between AD and cerebral infarction through SWI might provide an imaging biomarker for differentiation between dementia due to cerebrovascular disease and cerebral degenerative disorders.
Strategic Disclosure and CEO Media Visibility

Prior research indicates that CEO media visibility significantly impacts firm value and CEO career outcomes. We investigate whether and how CEOs strategically use disclosures to influence media coverage of themselves. We develop a measure of "CEO promotion" based on the CEO's presence in firm press releases and the linguistic style of the CEO's quotes. Determinants tests are consistent with our measure of CEO promotion being an intentional act based on cost/benefit considerations. Using our new measure, we find evidence consistent with CEO promotion being effective in reducing journalists' production costs, thereby increasing CEO media coverage and spinning media articles in the firm's favor. These results provide new insights as to specific ways in which CEOs influence media coverage. We also provide an empirical measure of abnormal CEO promotion that can be used in future research.