Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of 3D Facial Scan Integration in 3D Digital Workflow Using Radiographic Markers and Iterative Closest Point Algorithm

ASSESSMENT OF 3D FACIAL SCAN INTEGRATION IN 3D DIGITAL WORKFLOW USING RADIOGRAPHIC MARKERS AND ITERATIVE CLOSEST POINT ALGORITHM. Mohamed A El-Shewy, BDS, MSc Marquette University, 2020 Introduction: Integration of 3 dimensional (3D) facial scanning into digital smile design workflows has been made available in multiple commercially available systems. Limited data exists on the accuracy of facial scans and accuracy of various methods of merging facial scans with cone beam computed tomography (CBCT) scans. Objective: The purpose of this prospective clinical study was to evaluate the accuracy of 2 methods used to integrate soft tissue facial scans with CBCT scans. It would allow proposal of a novel approach for integrating a 3D facial scan using facial radio-opaque markers in a 3D digital workflow. Material and methods: Fifteen CBCT and 3D face scans were obtained from patients who were undergoing treatment at MUSoD. A DICOM with RO markers and 3 STL data files from the facial scans were obtained for each patient. These files were superimposed using Exocad software. Accuracy of superimpositions was evaluated by measuring distances between RO markers on DICOM and STL data. The obtained dataset was analyzed using the paired t-test. Results: The results showed that the mean values for the 6 subsets, merging through the ICP algorithm, were 1.47-2mm. However, when merged by RO markers, the mean value was 0.14mm. Using a paired t-test, the novel RO points method was statistically more accurate than ICP algorithm method (P<.001). Conclusions: From the results of this study, it was concluded that the novel RO markers method offers improved clinical outcomes when merging 3D face scans with CBCT scans and can contribute to creation of a reliable digital virtual patient.
Export Booms and Labor Coercion: Evidence from the Lancashire Cotton Famine

Price booms in labor-intensive exports are expected to benefit labor. The surging demand for labor can increase labor coercion, though, if labor is relatively scarce. Using a unique natural experiment, the Lancashire cotton famine in 1861-1865 that prompted Egypt to quadruple its cotton output, and a novel data source, Egypt's population censuses of 1848 and 1868, I document that the cotton famine had a positive impact on labor coercion in rural Egypt. Agricultural slavery emerged, with an influx of imported slaves from Sudan. Owners of large estates confiscated areas with larger (non-slave) local populations. It also had a positive impact on the non-coercive employment in agriculture of local labor. I explain these findings by the scarcity of local labor relative to cotton expansion, and by large landholders' exclusive right to coerce local labor. The findings accentuate the far-reaching unintended consequences of globalization on labor in poorer economies.
A Fundamental Analysis to Plantation Industry Valuation in Indonesia

The purpose of this study was to determine the effect of macroeconomic fundamental factors and corporate fundamental factors on the value of the company in the plantation subsector which was listed on the Indonesia Stock Exchange (IDX) in 2014-2018. The number of samples in this study was 10 companies for 5 years and produced with purposive sampling method. This study used panel data regression regression with random effect model. Companies values variable was represented by Price Book Value (PBV). The macroeconomic fundamental factors were consist of inflation rate, exchange rate, and interest rate. While the company fundamental factors consisting of profitability and leverage. The results of this study showed that exchange rate, inflation rate, profitability and leverage had at significant effects on the value of the company, but the interest rate did not significantly effect on value. Index Terms – Firm value, Random effect model, Price book value, Fundamental analysis
Antimicrobial activity of Cannabis sativa extracts on Lancefield Group A Streptococcus species associated with streptococcal pharyngitis (strep throat)

© 2020 African Journal of Biological Sciences.This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Abstract Cannabis sativa is a herb with a rich diversity of active ingredients with various pharmacological properties ranging from psychoactive, sedative, analgesic, antiinflammatory and antimicrobial activities. This study was undertaken to evaluate the efficacy of leaf extracts of Cannabis sativa on inhibiting the growth of Lancefield Group A Streptococcus sp responsible for streptococcal pharyngitis also known as “strep throat”. The active ingredients of Cannabis sativa were extracted using water and methanol in a soxhlet apparatus and measured using standard protocols. 10 Group A Streptococcus spp. were isolated from clinical cases of streptococcal pharyngitis. The susceptibility of these isolates to the methanolic extract of Cannabis sativa was evaluated using the Kiby-Bauer agar-well diffusion assay technique and tube dilution method. The antimicrobial inhibitory properties of the extracts were compared to three common antibiotics used in the treatment of strep throat (penicillin, amoxicillin and chloramphenicol). Results obtained shows the presence of bioactive compounds including; alkaloids, flavonoids, cardiac glycosides, phenols, terpenes, resins and steroids. These phytochemicals exerted antimicrobial activity against Streptococcus sp, resulting in zones of inhibitions between 18.80-22.80 mm against the test organisms, comparable to the zones obtained from commercially available -lactam antibiotics. Extracts of cannabis out-performed chloramphenicol in the inhibition of the test organism, producing larger zones. Tube dilution assays of the extracts gave a Minimum Inhibitory Concentration (MIC) of 20 mg/ml and Minimum Bactericidal Concentration (MBC) of 30 mg/ml, all comparable to the commercial antibiotics. Results of this study have highlighted the potential of cannabis extracts to control Lancefield Group A Streptococcus sp which are causative agents of pharyngitis.
Determinants of inequalities in self-perceived health among the urban poor in Kenya: A gender perspective

Background Gender health inequalities are largely socially determined. Though perception of health differs between the genders in many societies, little is known of the social determinants of gender inequalities in self-perceived health among the urban poor in developing economies in sub-Saharan Africa. Objectives To identify the social determinants of self-perceived health among the genders in an urban informal settlement in sub-Saharan Africa and to determine the extent of the gender health inequalities. Methods This cross-sectional and observational community based study was carried out between August and November 2012 in Korogocho informal settlement of Nairobi, capital of Kenya; a sub-Saharan African country. Primary data were collected with pre-tested structured questionnaires from randomly selected adults aged 25 to 59 years residing in Korogocho. The independent variables were age, education and employment status. The dependent variable was categorized into poor and good self-perceived health. Data were analyzed with SPSS v 20. Statistical significance was set at P<0.05. Results The mean age (±SD) of the 719 participants was 34.2 ± 8.7 years. Women (73.9% of participants) were younger on average but were still significantly less educated with higher levels of unemployment than men (all P<0.05). Women also had higher prevalence of poor self-perceived health than men (28.3% vs. 20.7%; P<0.05). Conclusion Though younger, the prevalence of poor health was significantly higher among women who were also more socially disadvantaged in terms of education and employment than men. The findings stress the importance of gender analysis in research and highlight the crying need for gender-informed social policies, strategies and interventions to reduce gender health inequalities among the urban poor.
Cultural Representation on Television (In Special Context to Soap Operas)

In view of the changing pattern of the media in society, great attention has been paid to globalization. The Indians are very enthusiastic about the beginnings of globalization and its impact on local cultural transformation. Television is also performing in the race of introducing the localization of culture and promoting the value of regional significance as an application of glocalisation. Specific Television programs such as Soap Operas have shown a deep signs of perfect glocalization by combining the idea of globalization with the idea of local consideration. The Indian soap operas have cultural presentation with its social significance as supportive elements that actually define the socio-cultural statistics of the plot of serials. In the study, the daily soaps that will be analysed, includes Ballika Vadhu (Colors Channel), Saath Nibhana Sathiya (Star Plus), Yeh Hai Mohabbatein (Star Plus) and Badho bahu (&TV) and Ganga (&TV). The study majorly focuses on whether the Indian soap operas are representing various cultures in their content or this is leading towards ‘Cultural Marketing’. The aim is to also know about the role of Indian Soap Operas in cultural exchange. The methodology adopted in the present research is mainly secondary. Key wordsTelevision, Soap Operas, Culture, Social Transformation.
Association of Medical Directors of Information Systems Consensus on Inpatient Electronic Health Record Documentation

Summary In 2013, electronic documentation of clinical care stands at a crossroads. The benefits of creating digital notes are at risk of being overwhelmed by the inclusion of easily importable detail. Providers are the primary authors of encounters with patients. We must document clearly our understanding of patients and our communication with them and our colleagues. We want to document efficiently to meet without exceeding documentation guidelines. We copy and paste documentation, because it not only simplifies the documentation process generally, but also supports meeting coding and regulatory requirements specifically. Since the primary goal of our profession is to spend as much time as possible listening to, understanding and helping patients, clinicians need information technology to make electronic documentation easier, not harder. At the same time, there should be reasonable restrictions on the use of copy and paste to limit the growing challenge of ‘note bloat’. We must find the right balance between ease of use and thoughtless documentation. The guiding principles in this document may be used to launch an interdisciplinary dialogue that promotes useful and necessary documentation that best facilitates efficient information capture and effective display. Citation: Shoolin J, Ozeran L, Hamann C, Bria W. II. Association of Medical Directors of Information Systems Consensus on Inpatient Electronic Health Record Documentation. Appl Clin Inf 2013; 4: 293–303 http://dx.doi. org/10.4338/ACI-2013-02-R-0012
THE EFFECT OF OMEGA-3 FATTY ACID SUPPLEMENT AND AEROBIC EXERCISE ON LIPID PROFILE AND DEPRESSION IN OBESE WOMEN

MORTEZA TAHERI *1, KHADIJEH IRANDOUST2, ABBAS SADEGHI1, SHOKOOFE YARI3 1Assistant Professor, Faculty of Social Sciences, Department of Sport Sciences, Imam Khomeini International University 2Associate Professor, Faculty of Social Sciences, Department of Sport Sciences, Imam Khomeini International University 3MSc Student of Exercise physiology, Faculty of Social Sciences, Department of Sport Sciences, Imam Khomeini International University
JOURNAL OF OCCUPATIONAL HEALTH PSYCHOLOGY AT 20 Transformational Leadership and Employee Psychological Well-Being: A Review and Directions for Future Research

This review paper focuses on answering 2 research questions: (a) Does transformational leadership predict employee well-being? (b) If so, how and when does this prediction occur? A systematic computerized search and review of empirical papers published between January 1980 and December 2015 was conducted. Forty papers were found that met the criteria of reporting empirical results, being published in English, and focused on answering the above research questions. Based on these papers it appears that, in general, transformational leadership positively predicts positive measures of well-being, and negatively predicts negative measures of well-being (i.e., ill-being). However, recent findings suggest that this is not always such a simple relationship. In addition, several mediating variables have been established, demonstrating that in many cases there is an indirect effect of transformational leadership on employee well-being. Although some boundary conditions have been examined, more research is needed on moderators. The review demonstrated the importance of moving forward in this area with stronger research designs to determine causality, specifying the outcome variable of interest, investigating the dimensions of transformational leadership separately, and testing more complicated relationships.
ADHD Identification using Convolutional Neural Network with Seed-based Approach for fMRI Data

Attention Deficit Hyperactivity Disorder (ADHD) is a highly prevalent psychiatric disorder with persistent patterns of inattention, hyperactivity and impulsivity behaviors among children. The perilous factor lies underneath is that often these children are commonly entangled with learning difficulties which tend to lead frustration when they reach adulthood. This study presents an effective approach for ADHD identification at an early stage by using functional Magnetic Resonance Imaging data for the resting-state brain. The proposed methodology is based on seed correlation which computes the functional connectivity between seeds and all other voxels within the brain. The classification is done using Convolution Neural Network based on extracted seed correlations from different Default Mode Network (DMN) regions. The proposed method using correlation on DMN regions has shown significant accuracies between 84% and 86% to be used with CNN for the identification of ADHD.
SMOS-based algorithm to predict potential fire propagation in Europe

Climate change raises global temperatures, as well as the duration of droughts in some regions of the globe. These shifts may increase the propagation and frequency of wildfires. In this context, Earth Observation (EO) satellites permit to track conditions related to fire risk on a regular basis and with global coverage. In this study, the focus is put on the water content of soils, a crucial factor on forest fires propagation. Here, soil moisture data from the Soil Moisture and Ocean Salinity (SMOS) mission –as well as information on surface temperature, land cover, ecoregions and the time of fires burningare applied to estimate the potential risk of fire propagation in Europe. The main objectives are: (i) to study the relationship between soil moisture (SM), land surface temperature (LST) and the wildfires in the European Union (EU) for the period 2010-2018, and (ii) to develop a model to predict the maximum fire spread of wildfires in the EU. Different models are proposed and tested. Firstly, regressions between (i) burned area and soil moisture and (ii) burned area and surface temperature, are computed. Secondly, SM and LST are combined in a bilinear model. Thirdly, a more complex model is built including interactions of moisture and temperature with land cover, European ecoregions and the month of the fire outbreak. KeywordsWildfires; Soil moisture; Land surface temperature; SMOS; Remote sensing; Maximum spread.
Dynamic Proteomic Analysis Reveals a Switch Between Central Carbon Metabolism and Alcoholic Fermentation in Oryza sativa Filling Grains 1

interconnections remains a major challenge for proteomics. Rice is an excellent model for studying grain filling because of its importance as a staple food and the available genome sequence database. Our observations showed that embryo differentiation and endosperm cellularization in developing rice seeds were completed approximately 6 days after flowering (DAF); and thereafter, the immature seeds mainly underwent cell enlargement and reached the size of mature seeds at 12 DAF. Grain filling began at 6 DAF and lasted until 20 DAF. Dynamic proteomic analyses revealed 396 protein spots differentially expressed throughout 8 sequential developmental stages from 6 to 20 DAF, and determined 345 identities. These proteins were involved in different cellular and metabolic processes with a prominently functional skew toward metabolism (45%) and protein synthesis/destination (20%). Expression analyses of protein groups associated with different functional categories/subcategories showed that substantially up-regulated proteins were involved in starch synthesis and alcoholic fermentation; whereas the proteins down-regulated in the process involved in central carbon metabolism and most of the other functional categories/subcategories such as cell growth/division, protein synthesis, proteolysis and signal transduction. The coordinated changes were consistent with the transition from cell growth and differentiation to starch synthesis and clearly indicated that a switch from central carbon metabolism to alcoholic fermentation may be important for starch synthesis and accumulation in the developmental process.
COVID-19 - exploring the implications of long-term condition type and extent of multimorbidity on years of life lost: a modelling study.

Background: The COVID-19 pandemic is responsible for increasing deaths globally. Most estimates have focused on numbers of deaths, with little direct quantification of years of life lost (YLL) through COVID-19. As most people dying with COVID-19 are older with underlying long-term conditions (LTCs), some have speculated that YLL are low. We aim to estimate YLL attributable to COVID-19, before and after adjustment for number/type of LTCs. Methods: We first estimated YLL from COVID-19 using standard WHO life tables, based on published age/sex data from COVID-19 deaths in Italy. We then used aggregate data on number/type of LTCs to model likely combinations of LTCs among people dying with COVID-19. From these, we used routine UK healthcare data to estimate life expectancy based on age/sex/different combinations of LTCs. We then calculated YLL based on age, sex and type of LTCs and multimorbidity count. Results: Using the standard WHO life tables, YLL per COVID-19 death was 14 for men and 12 for women. After adjustment for number and type of LTCs, the mean YLL was slightly lower, but remained high (13 and 11 years for men and women, respectively). The number and type of LTCs led to wide variability in the estimated YLL at a given age (e.g. at ≥80 years, YLL was >10 years for people with 0 LTCs, and <3 years for people with ≥6). Conclusions: Deaths from COVID-19 represent a substantial burden in terms of per-person YLL, more than a decade, even after adjusting for the typical number and type of LTCs found in people dying of COVID-19. The extent of multimorbidity heavily influences the estimated YLL at a given age. More comprehensive and standardised collection of data on LTCs is needed to better understand and quantify the global burden of COVID-19 and to guide policy-making and interventions.
Comments on Bauer, Lofstrom & Zimmermann: Im- migration policy, assimilation of immigrants, and na- tives’ sentiments towards immigrants: evidence from 12 OECD countries

This paper addresses a very important issue, namely how immigration policy might affect the assimilation of immigrants into the labour market as well as the attitudes of natives towards immigrants in the recipient countries. Many people have strong opinions on this issue, although their opinions are rarely supported by empirical evidence. The underlying reason is that very few empirical studies deal with the implications of immigration policy. The contribution made by this article is that it focuses interest on immigration policy. The conclusion of the paper is that governments in Europe should choose migrants more according to the needs of their labour markets. The needs of the labour market in the recipient countries is discussed in terms of the skills of the individual migrant and the international transferability of these skills. The authors argue that the international transferability of skills is more important than the skills per se, which means that admission criteria based on the migrants’ country of origin are more effective than criteria based on skills. The conclusion is based on four sources: predictions from economic theory, descriptive comparative statistics for 12 countries, a review of previous research, and a survey of attitudes towards immigration in 12 countries. My discussion will concentrate on the empirical support for the authors’ conclusions.
Comparison of the phytochemicals and antimicrobial activity of leaf extracts of Calotropis procera, Momordica charantia and Allium ascalonicum

© 2020 African Journal of Biological Sciences.This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Abstract The emergence of new infectious diseases, resurgence of several infections that appeared to have been controlled and the increase in bacterial resistance has led to the need for studies directed towards the development of new antimicrobials. Considering the challenge of obtaining new molecules with antimicrobial properties from microorganisms, identifying antimicrobials from other natural sources is of great importance. The phytochemical and antimicrobial activity of ethanolic leaf extracts of Calotropis procera, Momordica charantia and Allium ascalonicum was investigated in an attempt to evaluate their medicinal potential in the treatment of gastroenteritis, a major cause of death especially in children under the age of five in Nigeria. The phytochemical screening revealed the presence of the active medicinal constituents analyzed. The extracts had varying degree of inhibitory effects on the isolates tested. Allium ascalonicum extract had the highest antimicrobial activity compared to Calotropis procera and Momordica charantia extracts. Gentamicin also had good inhibitory effects on the isolates used. Our study showed that the selected plant extracts had good antimicrobial effects on the pathogenic bacteria causing gastroenteritis with Allium ascalonicum extract showing the highest activity. These plants can be useful in treating infections caused by these bacteria and suggests further advance investigations.