Miracle-dz/UniFAR-FTUs huggingface dataset:
Leitlinienreport zur aktualisierten S3-Leitlinie der Deutschen Gesellschaft für Gastroenterologie, Verdauungs- und Stoffwechselkrankheiten (DGVS) und der Deutschen Gesellschaft für Allgemein- und Viszeralchirurgie (DGAV) zur Prävention, Diagnostik und Behandlung von Gallensteinen

Die Leitlinie zur Pravention, Diagnostik und Therapie von Gallensteinen aktualisiert die Leitlinie der Deutschen Gesellschaft fur Gastroenterologie, Verdauungs- und Stoffwechselkrankheiten und der Deutschen Gesellschaft fur Allgemein- und Viszeralchirurgie aus dem Jahr 2007. Die Leitlinie wurde interdisziplinar von Gastroenterologen und Chirurgen erstellt. Sie basiert auf den Empfehlungen der Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften fur eine systematische evidenzbasierte Konsensus-Leitlinie der Entwicklungsstufe S3 und berucksichtigt die klinische Anwendbarkeit der Studienergebnisse. Zudem werden Praventionsmoglichkeiten beschrieben, Qualitatsindikatoren definiert, okonomische Auswirkungen berucksichtigt und Vorschlage zur sektorenubergreifenden Behandlung von Patienten mit Gallensteinerkrankungen formuliert.
Investigating the Relationship between Teacher Styles and Academic Performance of Intermediate Students of Zahedan

This research aims to study the role of self-regulated learning strategies and attribution styles on the students' academic performance in Zahedan high school. The study population consisted of all boys and girls high school students in Zahedan in 92-91 school year. For data collection, Peterson and Seligman attribution styles questionnaire was used. And to analyze the data, both descriptive and inferential statistics, T-test were used to test the research hypotheses. T-test results showed that students' self-regulated learning strategies and attribution styles means in Zahedan are above the average. These high means are in the cognitive, metacognitive, internal and external components. Pearson correlation test results showed that there is a significant positive correlation between self-regulated learning strategies and its components and styles attribution and its components, with academic performance. The test results showed that the internal and cognitive components have the most prediction about academic performance. Independent t-test results showed that there is no significant difference between self-regulated learning strategies and attribution styles in boys and girls students. This indicates that girls and boys use these variables alike. One-way ANOVA test results also showed that there is no significant difference between self-regulated learning strategies and styles attribution of students in first, second, third, fourth grades.
Subclinical hypothyroidism in India: an imperative risk for coronary artery disease (CAD)

Accurate diagnosis and treatment of subclinical hypothyroidism (SCH) is challenging in clinical practice because normal limits of TSH differs in various studies [1]. Subclinical Hypothyroidism (SCH) is defined as mild elevation in serum TSH levels with normal fT3 and fT4 concentration. The prevalence of this disease is 4-10% in the general population of United States. Up to 20 % women older than 60 years of age are affected with subclinical hypothyroidism in their study [2,3]. The disease is more common in women than in men. It is also known that the SCH is more prevalent in 3. Elderly age group (over 50 years) because TSH increases with age [4]. Franklyn has shown its prevalence in women (7.5 %) than in men where occurrence was only 2.8% of total population [5]. The importance of sub marginal elevation of TSH values is not known however elevated levels are associated with abnormalities of lipid metabolism (increased total cholesterol and low density lipoprotein cholesterol) that can lead to coronary artery disease and depression [6,7]. It is also associated with endothelial dysfunction [8], aortic atherosclerosis and myocardial infarction [9]. A search of database of Medline and Embase by Rodondi et al. [10] has suggested that subclinical hypothyroidism is associated with an increased risk of coronary heart disease [10]. According to them, subclinical hypothyroidism is associated with an increased risk of CHD events and CHD mortality in those with higher TSH levels, particularly in those with a TSH concentration of 10 or greater than10 mIU/L. This report has shown the implication of SCH as a risk factor for CAD. This study was compiled from the data of 11 prospective cohorts in the United States, Europe, Australia, Brazil, and Japan [10]. There is paucity of similar information from developing countries like India. Therefore this study was planned to assess the prevalence of subclinical hypothyroidism in healthy urban population of India belonging to mid to high socioeconomic strata and the risk of coronary artery disease in affected individuals. Volume 2 Issue 1 2018
An Optimization Method of Text Image

This paper presents a novel method to generate outline-based text image, that approximates the major line structure of the underlying image content, and hence the resultant text fits nicely into the small text screen of mobile devices. We mimic how text image artists deform the underlying image in order to approximate the image content with the limited variety of character font structure. The generation is formulated as an optimization problem that minimizes the shape dissimilarity. Convincing results are shown to demonstrate the effectiveness of the proposed method. Streszczenie. W artykule przedstawiono nową metode tworzenia obrazu tekstu, na podstawie szkicu. Algorytm aproksymuje strukture glownej linii zawartej w obrazie w tle, a tekst wynikowy dopasowuje sie do malych ekranow, jak w telefonach komorkowych. W metodzie naśladowany jest sposob odksztalcenia obrazu w tle, w celu określenia jego zawartości, przy pomocy danej roznorodności znakow. Algorytm pozwala na minimalizacje roznic w ksztalcie obrazow. (Metoda optymalizacji obrazu tekstu).
Context-based person identification for news collection

modern automated information extraction systems, Named Entity Disambiguation (NED) techniques are becoming in- creasingly important. The ambiguity of person names leads to a decrease in the output quality of search engines. This paper presents a two-stage rule-based NED model, based on a local and global context of the mentioned persons. A number of experiments with dierent scoring functions are reported, as well as a specific evaluation method to estimate the eciency of the model on a real-life data collection in an unsupervised way.
Estudi de la geometria i la dinamització d'avatars 3D utilitzant Microsoft Kinect

In the last years the motion capture process was ba sed on data acquisition with physical sensors in order to animate models of the real worl d. Due to the logistical complexity this technique requires, the appearance of an alter n tive based on depth cameras such as Microsoft Kinect has opened a range of possibilitie s, not only in the entertainment industry, but also on medical and the sports areas. In this line of work, different methods are needed in order to animate a human mode l; obtaining data using the depth sensor and its post-processing and filtering in ord er to achieve a natural and realistic model of the human body; calculate and embed a skel etal structure to the volume data obtained in an efficient way; and finally the diffi culty of animating an avatar according to human motion with different methods of blending. The purpose of this project therefore is to study the geometry, animation and d eformation of meshes in 2D and 3D using Microsoft Kinect.
Iterative and Predictive Ray-Traced Collision Detection for Multi-GPU Architectures

Collision detection is a complex task that can be described simply: given a set of objects, we want to know which ones collide. In the literature, we can found numerous algorithms that depend on objects property, but we can't find an overall solution that works on every objects. The internship focuses on a recent algorithm that shot rays from the surface of objects in the direction of the inward normal, collision is detected if a ray touches the interior of another object. This method allows deep penetrations and gives instantly the information needed to separate the colliding objects. To speedup this algorithm, we present a novel ray-tracing based technique that exploits spacial and temporal coherency. Our approach uses any existing standard ray-tracing algorithm as a starting point and we propose an iterative algorithm that updates the previous time step results at a lower cost. In addition, we present a new collision prediction algorithm to evaluate whenever two objects have potentially colliding vertices. These vertices are inserted into our iterative algorithm to strengthen the collision detection. The implementation of our iterative algorithm obtains a speedup up to 30 times compared to non-iterative ray-tracing algorithms. The use of two GPUs gives a speedup up to 1.77 times compared to one.
A Constrained CA Model for the Simulation and Planning of Sustainable Urban Forms by Using GIS

A constrained cellular automata (CA) model based on ‘grey cells’ for the simulation of different types of urban forms and developments is developed within a raster GIS. Remote sensing and GIS are used to supply information on environmental constraints and locations of growth centers for the simulation. The model is able to consider different criteria, such as urban forms, environmental suitability, and land consumption for the planning of sustainable cities. Seven different types of urban forms and developments that range from compact–monocentric, compact–polycentric, compact–monocentric–environmental, compact–polycentric–environmental, dispersed, highly dispersed, to very highly dispersed developments were simulated by using the model. The model can generate urban forms and developments with fractal structures that are close to real cities. The simulated patterns were evaluated by using different cost indicators related to sustainable development principles.
EFFECT OF DIABETES SELF MANAGEMENT EDUCATION (DSME) ON KNOWLEDGE ON CONTROL OF BLOOD SUGAR ON DIABETES MELLITUS PATIENTS

Many people who do not realize he has a disease that is more often called diabetes or diabetes. This is caused by several factors, including the level of knowledge, level of education, behavior, eating habits, closeness and exposure to information sources. One form of education that is commonly used and proven to be effective in improving the clinical outcome and quality of life of diabetes mellitus patients is Diabetes Self Management Education (DSME). This study aims to prove the influence of diabetes self-management education (DSME) to the knowledge of blood glucose control in people with diabetes mellitus in GayamanVillage and Kweden Village Work Area Health Center GayamanMojokerto. In this research the design used is Pre-experiment with One Group Pre-Post Test Design approach. The population is all DM patients in Gayaman Village and Kweden Village with 32 respondents. Samples from 32 respondents were taken using Total Sampling technique. Data collection techniques used questionnaires and data were analyzed using cross tabs. There is influence of diabetes self management education (DSME) to knowledge about controlling blood sugar level in people with diabetes mellitus with value 3,1%. Diabetes self management education (DSME) can be an intervention in providing knowledge to patients with DM, so that patients can control blood sugar levels well.
ANALYSIS OF FACTORS AFFECTING THE APPLICATION OF AUSTRALASIAN TRIAGE SCALE (ATS) IN EMERGENCY DEPARTEMENT NGUDI WALUYO WLINGI HOSPITAL

Indonesia doesn’t have a national standard for triage system which means implementation in each hospital can be different. Nurses have an important role in the application of triage. The Australasian Triage Scale method (ATS) is one of the triage system in the world used in some countries including Indonesia but it is very difficult to implementation in overcrowded emergency departement. Nurses ratio and unstandard triage room make the ATS standart times is difficult to achieve. The aim of this study was to analyze the various factors affecting Australasian Triage Scale (ATS) in emergency departement Ngudi Waluyo Wlingi Hospital. We used quantitative research with cross sectional approach and the respondent are 28 nurses in Emergency Departement Ngudi Waluyo Wlingi Hospital. Univariate analysis is used to know the description of each variable. Fisher test to determine the relationship between variables. Logistic regression analysis to determine the most dominant factor affecting the application of Australasian Triage Scale. Fisher test result show p-Value as follows: performance factor (leadership), p = 0.028 < α = 0,05, client factor (waiting time) p = 0.011 < α = 0,05, equipment factor (triage documentation) p = 0,036 < α = 0,05, staff requirements factor (education) ) p = 0.013 <α = 0,05, staff requirements factor (training) p = 0.036 <α = 0,05 The result of logistic regression shows staff requirements factor (education) p = 0.019 < α = 0.05 with OR 0.059. In conclusion there is a significant affecting between performance leadership factor, waiting time factor, triage documentation factor,education factor, training factor on the application of ATS and education is a dominant factor to predict the accuracy of the application of ATS. Keywords: leadership factor, waiting time factor, triage documentation factor,education factor, training factor, application of ATS
Scene change detection in MPEG domain

Video is an important and challenging media and requires sophisticated indexing schemes for efficient retrieval from visual databases. Video segmentation is a fundamental step in video indexing and involves detection of scene changes. In this paper, we propose a fast and robust algorithm for detecting video shot boundaries in the MPEG-2 compressed bitstream with minimal decoding.
Review of Brain Computer Interface Components and Corresponding Research Topics

This paper conducts a research on the literature of Brain Computer Interface(BCI) in recent years, inducing the four components of BCI and the research topics respectively, and providing a guide to newcomers for exploring BCI. BCI is divided into four parts including signal collection, feature extraction, feature classification and practical application. Papers of above four parts are retrieved respectively from the SCI database. Topics of all papers are concluded, based on which the research topics of BCI are assigned to the four parts of BCI. In topics of each part of BCI, similar topics are summarized to the unique topic. Finally some research topics may cover dozens of papers while some topics may cover only several papers. In each of the four BCI components, there are several topics attracting most of the attention. BCI still has a great research value and good prospects for study. Keywords-Brain Computer Interface(BCI); signal collection; feature extraction; feature classification; practical application;
Abortions and stillbirths in goats immunized against brucellosis using RB51, rfbK and Rev 1 vaccines

The presence of abortions was evaluated in brucellosis-vaccinated goats in endemic zones. In total, 243 goats under extensive management conditions were used; 57 goats were vaccinated with RB51 at the dose rate of 1 x 1010 colony-forming units (cfu)/ml; 68 goats received 1 x 109 cfu rfbK; 97 goats received 1 x 105 cfu Rev 1; and 21 goats were kept as non-vaccinated controls. One hundred thirty nine (139) goats were detected pregnant, resulting in the following pregnancy rates: 40.3 % (23/ 57) for RB51; 66.2 % (45/68) rfbK; 46.4 % (45/97) for Rev 1; and 85.7 % (18/21) for the non-vaccinated controls. Abortion rates were as follows: RB51: 74.1 % (23/31); rfbK: 35.5 % (16/45); Rev 1: 22.2 % (0/45); and non-vaccinated controls: 16.6% (3/18). The RB51 strain was isolated from one aborted fetus. The relative risk of abortion was as follows: RB51: 4.45; rfbK: 2.13; and Rev 1: 1.33. In addition, goats in a herd with excellent nutritional conditions were also vaccinated, as follows: 10 with 1 x 1010 cfu RB51; 10 with 1 x 109 cfu rfbK; 10 with 1 x 105 cfu Rev 1; and 9 goats remained as non-vaccinated controls. The RB51 group had one abortion and one stillborn kid. In both cases, the RB51 strain was isolated from the fetuses and vaginal exudates. It was concluded that among the immunogens evaluated in goats, the RB51 strain vaccine is not an adequate option, since it results in abortions and stillbirths.
Travel Delay and Modal Split Analysis – A Case Study

Journey time and delay study is used to evaluate the quality of service, the travel time and study can also be used to evaluate the quality of traffic movement along the route and to determine the location types and extent of traffic delays. Components of delay are boarding and alighting, issue of tickets, other causes and distance between each stops. This study investigates the total journey time required to travel along the stretch and the influence the delays. The route starts from Kempegowda Bus Station to Yelahanka Satellite Station of Bangalore City. The length of the stretch is 16.5 km. Modal split analysis has been done for this stretch. This stretch has elevated highway connecting to Bangalore International Airport and the extension of Metro Transit. stretch. From the regression analysis of total journey time it is affected by delay due to boarding and alighting moderately, Delay due to issue of tickets affects the journey time to a higher extent. Some of the delay factors affecting significantly the journey time are evident from F-test at 10 percent level of confidence. Along this stretch work trips are more prevalent as indicated by O-D study. Modal shift analysis indicates about 70 percent of commuters are ready to shift from current system to Metro Rail System. Metro Rail System carries maximum number of trips compared to private mode. Hence Metro is a highly viable choice of mode for Bangalore Metropolitan City.
Human Metaphase Chromosome Analysis using Image Processing

Development of an effective human metaphase chromosome analysis algorithm can optimize expert time usage by increasing the efficiency of many clinical diagnosis processes. Although many methods exist in the literature, they are only applicable for limited morphological variations and are specific to the staining method used during cell preparation. They are also highly influenced by irregular chromosome boundaries as well as the presence of artifacts such as premature sister chromatid separation. Therefore an algorithm is proposed in this research which can operate with any morphological variation of the chromosome across images from multiple staining methods. The proposed algorithm is capable of calculating the segmentation outline, the centerline (which gives the chromosome length), partitioning of the telomere regions and the centromere location of a given chromosome. The algorithm also detects and corrects for the sister chromatid separation artifact in metaphase cell images. A measure termed the Candidate Based Centromere Confidence (CBCC) is proposed to accompany each centromere detection result of the proposed method, giving an indication of the confidence the algorithm has on a given localization. The proposed method was first tested for the ability of calculating an accurate width profile against a centerline based method [1] using 226 chromosomes. A statistical analysis of the centromere detection error values proved that the proposed method can accurately locate centromere locations with statistical significance. Furthermore, the proposed method performed more consistently across different staining methods in comparison to the centerline based approach. When tested with a larger data set of 1400 chromosomes collected from a set of DAPI (4’,6-diamidino-2-phenylindole) and Giemsa stained cell images, the proposed candidate based centromere detection algorithm was able to accurately localize 1220 centromere locations yielding a detection accuracy of 87%.
Risikofaktoren für einen frühen OP-Zeitpunkt und chirurgische Komplikationen bei Morbus Crohn

Zusammenfassung Hintergrund Trotz der Weiterentwicklung der medikamentösen Therapie und eines mittlerweile signifikant späteren OP-Zeitpunkts wird bei einem Großteil der Patienten mit Morbus Crohn im Laufe der weiterhin kausal unheilbaren Erkrankung eine oder mehrere chirurgische Interventionen notwendig. Methodik Retrospektive Analyse 120 konsekutiver Patienten, die aufgrund eines Morbus Crohn an der Universitätsmedizin Rostock (UMR) operiert wurden. Die statistische Auswertung erfolgte mittels SPSS. Ergebnisse Insgesamt wurden 284 Operationen an 120 Patienten erfasst, wovon 207 Eingriffe an der UMR durchgeführt wurden. Das mittlere Alter bei Erstoperation lag bei 38 Jahren (Range: 17 – 66), die Erstdiagnose des Morbus Crohn erfolgte im Alter von 30 Jahren (Range: 9 – 62). Jeder Patient wurde während seiner Erkrankung 2 – 3 × operiert (Range: 1 – 9). Je älter Patienten bei Erstdiagnose waren, desto kürzer war das Intervall bis zur Erstoperation. Die Anzahl der Operationen pro Patient wurde von Lokalisation und Verhalten der Erkrankung signifikant beeinflusst, wobei ein penetrierendes Verhalten mit einer höheren und ein Befall des terminalen Ileums (L1) mit einer niedrigeren OP-Frequenz assoziiert waren. Risikofaktoren für Komplikationen > Grad III nach Clavien-Dindo waren unter anderem ein höheres Alter bei Operation sowie bei Erstdiagnose, ein verminderter Albuminspiegel und ein erhöhtes CRP. Anastomoseninsuffizienzen waren ebenfalls mit den genannten Risikofaktoren sowie der präoperativen Einnahme von > 20 mg Prednisolonäquivalent pro Tag bzw. einer Gesamtdosis von > 280 mg über die letzten 14 Tage vor OP assoziiert. Anastomosenkonfiguration sowie ein mikroskopischer Befall der Resektionsränder hatten keinen statistisch signifikanten Einfluss auf die Entstehung einer Anastomoseninsuffizienz. Schlussfolgerung Eine Diagnosestellung nach dem 30. Lebensjahr war in dieser Analyse mit einem signifikant früheren OP-Zeitpunkt assoziiert. Patienten mit Befall des terminalen Ileums (L1) hatten eine signifikant geringere OP-Frequenz als Patienten mit Kolon- oder kombiniertem Morbus-Crohn-Befall. Alter, Albumin, CRP und eine Steroidmedikation > 20 mg pro Tag zeigten sich als Prädiktoren für perioperative Komplikationen.