Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-Efficacy And Motivation On Entrepreneurship Interest In Politeknik Media Kreatif College

This study aims to determine the effect of self-confidence and motivation on entrepreneurship directly attractive. This research was conducted at the Media Kreatif of Medan State Politeknik College North Sumatra which aimed to see and know selfefficacy, and motivation towards the interests of Polytechnic Institute entrepreneurial students. The quantitative descriptive study of this research with the nature of the research is an explanation. The population includes students in the creative State Polytechnic Media field, amounting to 200 students with a sample of 133 people. Research data is collected through questionnaires that have been distributed to students. Study documentation is done by collecting and studying supporting documents, information, and data. The data analysis technique uses regression analysis. The results showed that trust in the interests of entrepreneurship had a positive and significant value, as well as
Integrated Global Optimization Model for Electrical Cables in Offshore Wind Farms

A MILP program for integrated global optimization of electrical cables systems in Offshore Wind Farms (OWFs) is presented. Electrical cables encompass the cable layout in collection systems to interconnect Wind Turbines (WTs), and transmission systems to couple Offshore Substations (OSSs) to the Onshore Connection Point (OCP). The program is solved through a modern branch-and-cut solver, demonstrating the ability to tackle large-scale instances with hundreds of WTs and several OSSs. The model supports as objective function the initial investment plus economic losses due to total electrical power losses. The importance and functionality of incorporating electrical losses is demonstrated, along with the need to simultaneously optimize the cable layout, OSSs location, and transmission cables. The method is tested for three case studies. The results show that (i) points near the global optimum, with an imposed maximum tolerance, are calculable within reasonable computational time and effort, and (ii) the integrated model can be much more efficient than a benchmark approach based on enumeration, i.e., exhaustive evaluation of all possible optimization problems derived from unique OSSs locations.
Eating Disorders : Part 2 CATEGORY 1 CME Complementary & Alternative Treatments for ADHA

J udgements and settlements are starting in Oklahoma against various pharmaceutical companies for their alleged roles in that state’s opioid crisis. During these judgements and negotiations with three major companies, the financial liability potentially ranged from a judgement for more than $500 million in this single state case to negotiations that might reach $10 billion for each company to resolve national claims. In this most recent Oklahoma case, the judge stated that one company “engaged in false and misleading marketing of both their drugs and opioids generally, and the law makes clear that such conduct is more than enough to serve as the act or omission necessary to establish the first element of Oklahoma’s public nuisance law. ”
A cross‑sectional hospital based study of clinical and immunological profile of systemic lupus erythematosus patients from central rural India

Introduction: Systemic lupus erythematosus (SLE) is a multisystem autoimmune disorder, the expression of which is greatly influenced by the combined effect of genetic, environmental, demographic and geographical factors. Various studies regarding clinical and immunological profile of SLE patients in India has been reported from a different region of India, especially from the urban area. We performed this study to understand the clinical and immunological profile of the SLE patients presenting to tertiary care center in rural central India. Materials and Methods: This study was conducted at a rural teaching hospital in central India. All patients' records from 2007 to 2012 available with hospital having a discharge diagnosis of SLE and fulfilling the revised American College of Rheumatology criteria (1997) for SLE were analyzed regarding clinical and immunological profile. Results: We found 87 SLE patients out of 52,133 patients admitted in medicine department from 2007 to 2012 in the hospital record and included in the analysis. Nearly, 98% patients were female and 84% patients were under the age of 40 years. Common features present in these patients were immunological (97.7%), mucocutaneous (83.9%), hematological (72.4%) and renal (69.0%). Malar rash was the most common clinical feature presented in 71.3% patients followed by photosensitivity (63.2%) and oral ulcers (42.5%). Lymphopenia was the most common hematological abnormality present in 48.3%. Involvement of neurological, cardiovascular and respiratory system was found to be less common. Anti-nuclear antibodies were found to be positive in nearly 98% patients. Conclusion: Analysis of clinical profile of hospitalized SLE patients shows that the disease is more common in female patients, especially during the child bearing age group. The present study shows high frequency of mucocutaneous, hematological and renal manifestation in these patients.
Markov-switching range-based volatility model and its application in volatility adjusted VaR estimation

We propose a more flexible range-based volatility model which can capture volatility process batter than conventional GARCH approach. Considering the regime switching process is appropriate for dealing the structure change embedded in the time series data. Range-based volatility CARR model with Markov-switching structure can assist us to describe the effect for exogenous shock to market data. After the data fitting and VaR estimation, we conclude that the range-based volatility method is better than the return-based GARCH model in volatility fitting. In particular, incorporating the possibility of regime switching into volatility process can boost the efficiency for VaR estimation. We also present an empirical application for demonstrating our model could characterize the unexpected switching of volatility process. Furthermore, comparing with non-regime switching volatility model, our model our model outperforms other alternatives on the estimation of volatility adjusted historical VaR.
CEG_A_214677 337..347

Division of Gastroenterology, Department of Medicine, Rajavithi Hospital, College of Medicine, Rangsit University, Bangkok 10400, Thailand Purpose: The aim of this study was to compare the effect of omeprazole plus mosapride combination therapy with that of omeprazole monotherapy in proton pump inhibitor (PPI) refractory gastroesophageal reflux disease (GERD) patients. Patients and methods: Patients were eligible to participate in this study if they had experienced symptoms of heartburn and/or regurgitation more than twice weekly and were unresponsive to at least 8 weeks of a standard dose of PPI. A total of 44 consecutive patients were randomized to receive omeprazole 20 mg once daily plus either mosapride 5 mg or placebo three times daily for 4 weeks. We evaluated their clinical symptoms by means of frequency scale for symptoms of GERD (FSSG) questionnaires completed at the beginning and the end of the study. The primary outcome was to compare changes in FSSG scores between treatment groups during the study period. Results: Most of the study population had non-erosive reflux disease (91.0% in the combination group and 81.8% in the control group). The minority of patients had Los Angeles grade A or B erosive esophagitis (9% in the combination group and 18.2% in the control group). None of the patients had Los Angeles grade C or D erosive esophagitis. FSSG total scores significantly decreased both in the combination group and the control group, with no significant differences in improvement between the groups (−8.00±7.18 for the combination group versus −5.68±6.29 for the control group, p=0.129). As a secondary outcome, our data showed that the effect of combination therapy on a number of symptomfree days (heartburn-free days, regurgitation-free days, and night-time heartburn-free days) was not superior to PPI monotherapy. Conclusion: Combining mosapride for four weeks with a standard dose of PPI is not more effective than PPI alone in patients with PPI-refractory GERD.
Ocular Manifestations in Rheumatoid Arthritis and their Co-Relation with Anti Cyclic Citrullinated Peptide Antibodies

Aims & Objective: To study ocular manifestations in RA & corelate with Anti CCP Ab. Materials& Method: 114 patients attending Rheumatology & Ophthalmology OPD of a tertiary care hospital were screened. Examination and tests: Detailed slit lamp examination, BCVA by Snellen's chart, IOP taken by Goldman's tonomerty. Schirmer's & ocular staining score done. Dilated fundus examined by IDO. Chi square test used to co relate their significance & P value calculated. Results: 42.10 %(48) of 114 cases had ocular manifestation. Dry eye being commonest 31.57 % (36) followed by cataract in 6 (5.26%) of cases. 1 case each of Sjogren's syndrome & scleritis. 1.75% (2) cases had peripheral keratitis, anterior uveitis & episcleritis each. Strong association seen between presence of Anti CCP Ab & ocular manifestation by significant P value. Conclusion: Ocular manifestations are significant extra articular manifestation. Flaring up of ocular manifestation may signal impending deterioration or relapse of RA.
WHO EMRO | Payment system of urban family physician programme in the Islamic Republic of Iran: is it appropriate? PDF version

Background: The payment system is pivotal in implementing policies in the health sector. Equitable access to healthcare is the main principle of the payment system. Aims: This study aimed to investigate aspects of the payment system in the urban family physician programme (FPP) in the Islamic Republic of Iran. Methods: This was a qualitative study. We obtained data from key informants and both formal and grey literature. We used content analysis for data analysis.
PII: S0166-8641(01)00039-6

The purpose of this article is to analyze several Lie algebras associated to “orbit configuration spaces” obtained from the standard integral lattice Z + iZ in the complex numbers. The Lie algebra obtained from the descending central series for the associated fundamental group is shown to be isomorphic, up to a regrading, to the Lie algebra obtained from the higher homotopy groups of “higher dimensional arrangements” modulo torsion. The resulting Lie algebras are similar to those studied by T. Kohno associated to elliptic KZ systems [Topology Appl. 78 (1997) 79–94]. A question about the generality of this behavior is posed.  2002 Elsevier Science B.V. All rights reserved. AMS classification: Primary 55R80; 20F14, Secondary 55N25; 55Q52
Using Convolutional Networks and Satellite Imagery to Predict Disease Density in a Developing Country

Rapid increase in digital data coupled with advances in deep learning algorithms is opening unprecedented opportunities for incorporating multiple data sources for modeling spatial dynamics of human infectious diseases. We used Convolutional Neural Networks (CNN) in conjunction with satellite imagery-based urban housing and socio-economic data to predict disease density in a developing country setting. We explored both single (uni) and multiple input (multimodality) network architectures for this purpose. We achieved maximum test set accuracy of 81.6 per cent using a single input CNN model built with one convolutional layer and trained using housing image data. However, this fairly good performance was biased in favor of specific disease density classes due to an unbalanced data set despite our use of methods to address the problem. These results suggest CNN are promising for modeling spatial dynamics of human infectious diseases, especially in a developing country setting. Urban housing signals extracted from satellite imagery seem suitable for this purpose, under the same context.
Leveraging SNOMED CT terms and relations for machine translation of clinical texts from Basque to Spanish

We present a method for machine translation of clinical texts without using bilingual clinical texts, leveraging the rich terminology and structure of the System-atized Nomenclature of Medicine – Clinical Terms (SNOMED CT), which is considered the most comprehensive, multilingual clinical health care terminology collection in the world. We evaluate our method for Basque to Spanish translation, comparing the performance with and without using clinical domain resources. As a method to leverage domain-speciﬁc knowledge, we incorporate to the training corpus lexical bilingual resources previously used for the automatic translation of SNOMED CT into Basque, as well as artiﬁcial sentences created making use of the relations speciﬁed in SNOMED CT. Furthermore, we use available Electronic Health Records in Spanish for backtrans-lation and copying. For assessing our proposal, we use Recurrent Neural Network and Transformer architectures, and we try diverse techniques for backtranslation, us-ing not only Neural Machine Translation but also Rule-Based and Statistical Machine Translation systems. We observe large and consistent improvements ranging from 10 to 15 BLEU points, obtaining the best automatic evaluation results using Transformer for both general architecture and backtranslation systems.
Real Time Yarn Characterization and Data Compression Using Wavelets

To design a holistic system for measurement, control, and quality maximization in textile fiber processing through on-line measurements(data fusion) and data analysis using “wavelet” theories and stochastic models. The system being developed extracts, retains, and synthesizes only the essential information required for characterizing the salient qualities of yarns and fabrics, without having to process and store vast amounts of data acquired on-line. This task will provide the textile industry with a meaningful and cost-effective quality monitoring and measurement system which presently does not exist.
Adversarial Loss as Prior Regularization for Structured Prediction

Structured prediction tasks contain complex dependencies between multi-dimensional labels that can be utilized for improving accuracy and creating consistent predictions. Recently, neural networks have been used for learning dependencies in an unconstrained manner by defining an energy function over the input and labels, relying on gradient-based optimization for inference. Instead, we propose usage of an auxiliary adversarial loss to enforce structure on the outputs of deep models. In addition to a local per label loss, the model is trained to fool a discriminator, which in turn is optimized to distinguish between true labels and the model’s predictions. This adaptive loss regularizes the model towards the prior joint label distribution, enabling learning of global structure and implicit constraints. We focus on the multi-label classification task, and show that our method achieves state-of-the-art results on common benchmarks, with significantly faster inference compared to current approaches.
Birth Control and Female Empowerment: An Equilibrium Analysis1

It has been widely argued that innovations in birth control technology during the last decades have affected not only women’s fertility choices, but generally their position in families and society. We analyze, from a theoretical perspective, the impact of these innovations on the intrahousehold allocation of resources. We consider a model of frictionless matching on the marriage market in which women differ in their preferences for children. The qualitative features of the equilibrium depend on whether men or women are in excess supply on the marriage market. If women are in excess supply, then an improvement in the birth control technology generally increases the ’power’, hence the welfare, of all women, including those who are not interested in the new technology. However, this ’empowerment’ effect crucially relies on the availability of the new technology to single women. Should the innovation be reserved to married women (as was initially the case for the pill), the conclusion may be reversed, resulting in a ’disempowerment’ effect. Finally, various extensions are considered.
Pathological upgrading and upstaging at radical prostatectomy in Jamaican men with low-risk prostate cancer

Several studies suggest race-based health disparities in men with low-risk prostate cancer (PCa), with African American males having poorer oncological outcomes. We sought to determine the prevalence and predictors of pathological upgrading and upstaging in Jamaican men with low-risk PCa treated with radical prostatectomy (RP). Data on 141 men who met the National Comprehensive Cancer Network criteria for low-risk PCa and underwent RP at a single institution were reviewed. All men had a transrectal ultrasound-guided biopsy. Pre-operative clinical and final pathological data were obtained. Data were summarised as means and standard deviations or percentages as appropriate. Bivariate analyses such as independent samples t-tests and chi-square tables were conducted and logistic regression models were estimated to predict upgrading (>Gleason 6) and upstaging (p ≥ T3). The mean age was 59.5 ± 7.8 years with mean prostate specific antigen (PSA) of 6.6 ± 2 ng/mL. A total of 48.3% of men were upgraded and 11.4% were upstaged. Bivariate analyses indicated that PSA (p = 0.008) and percentage positive cores (p = 0.002) were associated with upgrading. PSA (p = 0.042) and percentage positive cores (p = 0.003) were significantly associated with upstaging. The odds of upgrading increased with increased PSA levels (OR 1.40, 95% CI 1.05–1.87, p = 0.021) or increased percentage positive cores (OR 8.27, 95% CI 2.19–31.16, p = 0.002). The odds of upstaging increased with increased PSA levels (OR 1.4, 95% CI 1.01–1.96, p = 0.046) and with increased percentages positive cores (OR 11.4; 95% CI 2.06–63.09, p = 0.005). Jamaican men with low-risk PCa are at high risk of pathological upgrading and upstaging at RP. These findings should be taken into consideration when discussing treatment options with these patients.
MASONRY RESEARCH FOR EUROCODES

Some recent results of experimental research to support the requirements of Eurocodes for the design and construction of innovative masonry structures in seismic zones are discussed. Robustness of masonry units and type of masonry bond are important parameters which define the behaviour of masonry walls when subjected to seismic loads. If the units are brittle and the bond between units is not adequate, the known relationships between the strength and ductility properties of masonry walls change significantly. In the design of masonry structures, energy dissipation capacity is taken into account by force reduction, behaviour factor q. The shaking table tests have shown that the behaviour factor does not depend only on the masonry system, but also on the quality of materials and structural configuration. Therefore, the values of behaviour factor q cannot be simply determined from ductility tests of masonry walls.
Diagnostic study on Herpes simplex-1

The study was planned to evaluate the prevalence of HSV-1 infection, and the use of rhabdomyosarcoma and L20B as cell lines for the primary propagation of human herpes simplex1, by using modern diagnostic techniques. Study were involved a collection of 60 samples from dermal lesions, randomly selected from population of ages ranges from 15 to 45 years. These samples were collected during a period extended from February to September 2013. Primarily, these samples were investigated by RT-PCR technique directed to certify human herpes simplex-1 infections. Bosphore® HSV-1&2 Genotyping Kit v1(Anatolia geneworks, Turkey) was used for the detection protocol. From total of 47 HSV-1 positive samples in PCR step, 20 samples were cultured using two cell lines (Rhabdomyosarcoma (RD) and L20B cell lines) in an attempt for virus isolation and evaluation capability of these cells for HSV-1 propagation. Results of applied PCR revealed that HSV-1 DNA was correlated with 47(78.3%) positive of the total cases investigated. In the attempt to HSV-1 isolation, both RD and L20B cell lines were demonstrate a specific HSV-1 cytopathic effect. Herpes simplex virus type 1 had been propagated in 19 (95%) of the 20 PCR positive isolates by RD cell line, while 17:20 (85%) HSV-1 isolates were positive on L20B cells. In conclusions: The thermal protocol for Bosphore® HSV-1 Genotyping Kit v1allows very rapid detection of HSV-1 DNA in dermal lesions. It is finding to be laborsaving and show sufficient sensitivity. The RD and L20B cell lines are efficient as cell lines for the propagation of HSV1, for that It is well recommended to achieve future therapeutic studies on HSV-1.
Comparison of Bond Strength of Acrylic, Composite, and Nanocomposite Artificial Teeth to Heat-Cure Acrylic Denture Base Resin

Objectives: The present study aimed to evaluate the bond strength of heat-cure denture base resin to newly designed Iranian artificial acrylic teeth. Materials and Methods: In this in-vitro experimental study, shear bond strengths of Ivoclar acrylic, Apple composite, and B-Star nanocomposite teeth to heat-cure acrylic denture base resin were compared. A total of 18 samples were selected from each group of teeth. The samples were attached to heat-cure resin according to ISO 10477 standard. For the assessment of bond strength, the samples were placed in a universal testing machine and were subjected to shear forces at a speed of 1 mm/minute to record the fracture load. Descriptive statistics, including frequency, mean, and standard deviation, were calculated using SPSS 20 software. Two-way analysis of variance was used to compare the shear bond strength of the groups with and without monomers and the studied artificial teeth. Results: The mean shear bond strengths of Ivoclar acrylic teeth were 392.22±23.76 MPa and 337.11±32.18 MPa with and without adding monomers to the tooth surface, respectively. The mean shear bond strengths were 250.44±29.84 MPa and 238.33±27.28 MPa (without monomers) and 438.33±24.16 MPa and 311.56±32.78 MPa (with monomers) for Apple composite and B-Star nanocomposite artificial teeth, respectively. Conclusion: The greatest shear bond strength was attributed to Ivoclar acrylic teeth followed by Apple composite and B-Star nanocomposite artificial teeth. Addition of monomers to the tooth surface significantly strengthened the shear bonding of acrylic base resin to the teeth.
AMP: Adaptive Masked Proxies for Few-Shot Segmentation

Deep learning has thrived by training on large-scale datasets. However, in robotics applications sample efficiency is critical. We propose a novel adaptive masked proxies method that constructs the final segmentation layer weights from few labelled samples. It utilizes multi-resolution average pooling on base embeddings masked with the label to act as a positive proxy for the new class, while fusing it with the previously learned class signatures. Our method is evaluated on PASCAL-$5^i$ dataset and outperforms the state-of-the-art in the few-shot semantic segmentation. Unlike previous methods, our approach does not require a second branch to estimate parameters or prototypes, which enables it to be used with 2-stream motion and appearance based segmentation networks. We further propose a novel setup for evaluating continual learning of object segmentation which we name incremental PASCAL (iPASCAL) where our method outperforms the baseline method. Our code is publicly available at https://github.com/MSiam/AdaptiveMaskedProxies.