Miracle-dz/UniFAR-FTUs huggingface dataset:
Primary myxoid epithelioid extra-intestinal gastrointestinal stromal tumor of greater omentum

Background: Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal neoplasms of the gastrointestinal tract believed to originate from interstitial cells of Cajal. Development of GISTs outside the gastrointestinal system, called as Extra-intestinal gastrointestinal stromal tumor (EGISTs) is rare. Incidence of primary GIST in the greater omentum has been reported to be <1%. Case report: A rare case of EGIST in an 89 year old woman, arising from the greater omentum is presented here. In this patient EGIST was primary and of epithelioid type with prominent myxoid change. Conclusion: Recognition of myxoid epithelioid variant of EGIST is important as it is defined as a separate entity with availability of molecular targeted therapy.
Development and preliminary validation of a patient-reported measure of patient–provider communication about medication prescriptions for adolescents and young adults

ABSTRACT This investigation examined psychometric properties of a patient–provider communication measure developed for adolescents/young adults receiving medication prescriptions. Two independent samples of participants completed the measure; Study 1 included measures for preliminary validity analyses, while Study 2 included measures of adherence and adherence barriers. In Study 1, exploratory factor analyses revealed a 15-item, 2-factor structure and supported preliminary validity. In Study 2, Total and Factor 1 (“Clarifying Rationale for Medication”) scores were associated with adherence, and Total and Factor 2 (“Encouraging Patient Adherence Behavior”) scores were associated with adherence barriers. Preliminary evidence supported the measure as useful for assessing patient-provider communication.
An embedded wavelet hierarchical image coder

A simple, yet remarkably effective, image compression algorithm that has the property that the bits in the bit stream are generated in order of importance, yielding fully hierarchical image compression suitable for embedded coding or progressive transmission, is described. Given an image bit stream, the decoder can cease decoding at the same image that would have been encoded at the bit rate corresponding to the truncated bit stream. The compression algorithm is based on three key concepts: (1) wavelet transform or hierarchical subband decomposition, (2) prediction of the absence of significant information across scales by exploiting the self-similarity inherent in images, and (3) hierarchical entropy-coded quantization. <<ETX>>
Effect of Yoga Intervention on Short-Term Heart Rate Variability in Children with Autism Spectrum Disorder

Background: Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impairment in social interactions, communication, restricted, and repetitive behaviors. Evidence-based treatment options for ASD are limited. Yoga is practiced by over 20 million people worldwide, and multiple studies have investigated yoga as a possible effective intervention for children with ASD. Aim: The aim of this study is to investigate the effect of yoga intervention on short-term heart rate variability (HRV) in children with ASD. Methodology: In this study, 50 children (38 boys and 12 girls) with ASD were recruited from Swabhimaan Trust, Palavakkam, Chennai. They were randomly grouped into ASD with yoga intervention group (n = 25) and ASD without yoga intervention group (n = 25) by simple lottery method. Yoga group children underwent yoga training for 3 months, and the control group did not receive any such training. For short-term HRV, 15 min electrocardiogram recording in sitting posture was recorded in lead II using a simple analog amplifier. Results: In HRV, time domain parameters such as mean RR interval (0.72 [0.74] to 0.94 [0.92]), standard deviation of the NN intervals (52.04 [54.23] to 74.48 [72.80]), and root of the mean squared differences of successive NN interval (32.60 [34.40] to 40.83 [42.90]) significantly increased in ASD children after yoga intervention. In frequency-domain parameters, high frequency (HF) in n. u (48.08 [47.24] to 58.37 [59.22]) shows a significant increase and low frequency (LF) in n. u (52.4 [51.82] to 40.51 [40.12]), and LF/HF ratio (1.29 [1.31] to 0.78 [0.79]) shows a significant decrease in ASD with yoga intervention group children after 3 months of yoga training. Conclusion: Yoga interventions have been successful in bringing parasympathetic dominance in ASD children, and the greater advantage is being a noninvasive way of intervention to support children with ASD and help them to achieve physiological as well as psychological balance.
MAINTAINING SEMANTICS IN THE INTEGRATION OF NETWORK INTEROPERABLE PRODUCT DATA MODELS

Data in engineering applications has been managed using database management systems or dedicated mechanisms embedded in CAx systems. Current industrial competitiveness trends point to the necessity of integrating engineering applications. Two major demands arise: the use of a mechanism to provide for network interoperable access to data, and the necessity of handling data models supported by different paradigms. This doctoral thesis introduces the problems of product data exchange and interoperability among applications using standard formats, and discusses the problem of semantic loss in the translation of product data models for network interoperable access. An analysis of the problems that emerge in this translation, with the objective of assessing the maintainability of data semantics across a distributed network, is performed.
An Image Retrieval Method Using Homogeneous Region and Relevance Feedback

Relevance feedback and region based image retrieval are two effective ways to improve accuracy in content-based image retrieval. In this paper, we propose a content-based image retrieval method using relevance feedback and homogeneous region. By extracting a number of homogeneous color regions from the image and calculating the occurrence frequency of regions, we convert image feature vectors to weighted vectors. On the basis of the weighted vectors, we calculate the similarity between two weighted vectors and using relevant feedback technique. Our experimental results on a Wang database of over 10,000 images suggest that the technique results in which is close to user’s intention better than the CBsIR and CCH methods. 
An RF bunch-length monitor for the SLC final focus

In preparation for the 1997 SLC run, a novel RF bunch-length monitor has been installed in the SLC South Final Focus. The monitor consists of a ceramic gap in the beam pipe, a 160-ft long X-band waveguide (WR90), and a set of dividers, tapers and microwave detectors. Electromagnetic fields radiated through the ceramic gap excite modes in the nearby open-ended X-band waveguide, which transmits the beam-induced signal to a radiation-free shack outside of the beamline vault. There, a combination of power dividers, tapers, waveguides, and crystal detectors is used to measure the signal power in 4 separate frequency channels between 7 and 110 GHz. For typical rms bunch lengths of 0.5-2 mm in the SLC, the bunch frequency spectrum can extend up to 100 GHz. In this paper, we present the overall monitor layout, describe MAFIA calculations of the signal coupled into the waveguide based on a detailed model of the complex beam-pipe geometry, estimate the final power level at the RF conversion points, and report the measured transmission properties of the installed waveguide system.
Ultrasonido transvaginal en premenopáusicas para el estudio de patología endometrial

The objective of research was to determine the efficacy of transvaginal ultrasound in pre-menopausal women for evaluation of endometrial pathology. One hundred and ninety-five patients with clinical indications for endometrial biopsy were selected. Transvaginal ultrasound was performed before endometrial biopsy. Histological examination of samples was blinded performed and later compared with ultrasound findings. There was normal endometrium in 78.5% of cases. There was proliferative endometrium in 23.1% of cases and secretory endometrium in 30.8% of cases and mean thickness was 15.4 ± 7.7 and 15.8 ± 8.0 millimeters, respectively. Considering endometrial thickness higher tan 10 millimeters as pathological, sensibility of transvaginal ultrasound for endometrial pathology was 56%, specificity was 44%, positive predictive value was 83%, negative predictive value was 17% and accuracy was 59%. It is concluded that transvaginal ultrasound is effective for evaluation of endometrium in pre-menopausal women.
Racial and Ethnic Preferences in College Admissions

College admissions committees, not markets, ration access to many of the most selective U.S. colleges. As the labor market payoff to a college education has risen and competition for admission to elite universities has become more keen, racial preference in college admissions has become increasingly controversial, particularly at public institutions. In the spring of 1996 the Fifth Circuit Court of Appeals dramatically narrowed the latitude to use race in determining admissions to colleges within its jurisdiction, and the Supreme Court subsequently refused to review this decision. The following fall, voters in California approved a proposal to end the use of racial and ethnic preferences in admissions to state institutions. A number of other states are also reconsidering the role of race and ethnicity in admissions and financial aid. Some will wait for the Supreme Court to clarify the legal issues at stake, but some may not.1 Because colleges shroud their admissions procedures in mystery, the public knows little about the extent to which racial preference is practiced. Even less is known about the impact of such preferences on the later careers of black and white youth. This Article explores these questions using data collected from the high school class of 1982. Part I uses the High School and Beyond (HSB) survey to analyze the importance of race to college admission decisions in the early 1980s. It shows that racial preference is confined to "elite" colleges and universities, namely, the most academically selective fifth of all four-year institutions, where scores
Exploring the possible role of date fruit (Phoenix Dactylifera, L) extract in amelioration of stroke in rats

Background: Considerable morbidity and mortality are associated with stroke and approximately 5.7 million deaths reported due to stroke every year. Restoration of blood flow to ischemic brain is associated with generation of reactive oxygen radicals. Date fruits are an integral part of food and they possess antioxidant, neuroprotective, anti-stress properties. Purpose: The present study investigates the effect of aqueous extract of sukari variety of date fruits on acute cerebral ischemia-reperfusion induced oxidative stress and histopathological alteration in rats. Methods: Acute cerebral ischemia-reperfusion was produced in rats by occlusion of bilateral common carotid arteries for 30 minutes followed by reperfusion for 4 hrs. Various groups of rats i.e group 1 to 6 were subjected to pretreatment for 30 days followed by induction of ischemia-reperfusion 1 hour after last dose. Group 7 was given L-NAME just 30 minutes before surgery. However group 2, sham operated control underwent all the processes except surgery. At the end of study half of rats from all groups were sacrificed for estimation of various biomarkers in brain homogenates and rest were sacrificed for brain histopathological examination. Results: The surgery group showed altered levels of superoxide dismutase, catalase and malondioalhyde when compared to sham control. Pretreatment for 30 days with extract prevented this reperfusion-induced rise in these biomarkers dose dependently. Histopathological examination of TTC stained coronal sections of brains showed a reduction in infarct area dose dependently by DFE. The results suggest that aqueous extract of sukari dates may be useful in treatment of cerebral reperfusion injury and may be useful in prevention of stroke. This protective effect may be attributed to its antioxidant properties. Conclusions: Aqueous extract of sukari dates offer neuroprotective effect against ischemia-reperfusion induced injury and may offer potential benefits in the management of stroke.
Perfil microbiológico y resistencia bacteriana en una unidad de cuidados intensivos de Pereira, Colombia, 2015

introducción: la terapia antibiótica es eficaz en muchos tipos de infecciones, pero su uso excesivo promueve la propagación de microorganismos resistentes, la cual se asocia con aumentos en morbilidad, mortalidad, estancia hospitalaria y costos asociados; panorama frecuente en la unidad de cuidados intensivos. Objetivo: describir perfil microbiológico y de resistencia bacteriana en microorganismos cultivados de pacientes hospitalizados en una unidad de cuidado intensivo en la ciudad de Pereira. Materiales y método: estudio retrospectivo. Se analizaron perfiles de sensibilidad/resistencia de pacientes atendidos durante el primer semestre de 2015. La información fue extraída de historias clínicas y reportes de laboratorio. Las pruebas de sensibilidad/resistencia antimicrobiana se realizaron con el software WHONET. El análisis de tendencia fue realizado con el software STATA. Resultados: se incluyeron 62 pacientes con edad media de 57,9 años, 32 eran mujeres. La mayor positividad fue para hemocultivos y urocultivos. Los microorganismos más frecuentemente aislados fueron: E. coli (con resistencias del 95, 75 y 70% para ampicilina, cefazolina y piperazilina/tazobactam respectivamente), K. pneumoniae(resistencias del 46% para ampicilina/sulbactam, piperazilina/tazobactam y cefazolina), S. aureus y P. aeuriginosa.Conclusiones: El perfil de resistencia encontrado en la población de estudio es alarmante, asociado a una alta prevalencia de β-lactamasas tipo AmpC (n=16) y Betalactamasas de espectro extendido (n=8). E. Coli, K. pneumoniae y P. aeruginosa presentan valores de resistencia importante para antibióticos de uso común en UCI como penicilinas de amplio espectro y cefalosporinas. MÉD. UIS. 2018;31(2):9-15.
Data-Driven Statistical Models of Robotic Manipulation

Improving robotic manipulation is critical for robots to be actively useful in realworld factories and homes. While some success has been shown in simulation and controlled environments, robots are slow, clumsy, and not general or robust enough when interacting with their environment. By contrast, humans effortlessly manipulate objects. One possible reason for this discrepancy is that, starting from birth, humans have years of experience to collect data and develop good internal models of what happens when they manipulate objects. If robots could also learn models from a large amount of real data, perhaps they, too, could become more capable manipulators. In this thesis, we propose to improve robotic manipulation by solving two problems. First, we look at how robots can collect a large amount of manipulation data without human intervention. Second, we study how to build statistical models of robotic manipulation from the collected data. These data-driven models can then be used for planning more robust manipulation actions. To solve the first problem of enabling large data collection, we perform several different robotic manipulation experiments and use these as case studies. We study bin-picking, post-grasp manipulation, pushing, tray tilting, planar grasping, and regrasping. These case studies allow us to gain insights on how robots can collect a large amount of accurate data with minimal human intervention. To solve the second problem of statistically modeling manipulation actions, we propose models for different parts of various manipulation actions. First, we look at how to model post-grasp manipulation actions by modeling the probability distribution of where an object ends up in a robot’s hand, and how this affects its success rate at various tasks such as placing or insertion. Second, we model how robots can change the pose of an object in their hand with regrasp actions. Third, we improve on the place and pick regrasp action by modeling each separately with more data. These learned data-driven models can then be used for planning more robust and accurate manipulation actions.
Predication of the prognosis after initial periodontal treatment by salivary biomarkers

Purpose: The aim of this study was to predict the necessity of periodontal pocket curettage by the salivary levels of hemoglobin and lactose dehydrogenase at baseline. Materials and Methods: The study population was selected from the subjects with chronic periodontitis who attended eight private dental offices. The study population consisted of 14 men and 32 women, and their mean age was 53.9+/-15.4. Patients with periodontal pockets deeper than 4 mm after initial treatment were diagnosed as necessity pocket curettage (Group II: n=31). Other patients were once finished periodontal therapy and recommended to visit for the supportive periodontal therapy (SPT) (Group I: n=15). Salivary levels of lactose dehydrogenase and hemoglobin were measured using commercially available kits, according to the manufacturer’s instructions. Results: For predict the prognosis of the initial treatment, statistically significant differences were not observed in clinical markers. In contrast both hemoglobin and lactose dehydrogenase, mean values were significantly higher in Group II patients. In addition, 94.4% patients were necessary of the periodontal curettage if the lactose dehydrogenase value was more than 333.3 IU/L at baseline. Conclusion: Salivary levels of lactose dehydrogenase at baseline may be useful markers for the prediction of the necessity of pocket curettage after initial periodontal therapy. (Asian Pac J Dent 2015; 15: 25-31.)
A Novel Low Complexity Fast Response Time Fuzzy PID Controller for Antenna Adjusting Using Two Direct Current Motors

Objectives: A novel PID Controller (PIDC) for the purpose of adjusting an antenna in 360 degrees range by direct current (DC) motors using Fuzzy method is designed and simulated. Methods: For this, first, an accurate model for DC motor in simulations is developed- that can be replaced by any other dynamic, for e.g., a high power low speed motor, however, the response in this case will be different. The controller mentioned uses the Mamdani type in two working modes with 3 and 4 inputs setting the full control of two independent DC Motors (DCMs). Findings: Clearly, the modes with 3 and 4 inputs occupy 27 and 81 commands respectively to have smooth overshoot and under shoot responses. Some of the parameters are acquired experimentally that can be modified for various applications, although these values are also remarked for the possible re-simulation by the readers. Application: However the PIDCs have many applications in industry, the main application of our PIDC is intended for radar systems where the antenna needs to quickly rotate in order to accurately receive the reflections from certain paths.
Optimising RV-PA ventriculoarterial-coupling to improve RV diastolic function in patients with cardiopulmonary disorders

In recent years, an increasing body of evidence has emerged postulating that right ventricular (RV) - pulmonary artery (PA) ventriculoarterial coupling may offer insight into the transition from RV adaptation to RV maladaptation in different cardiopulmonary disorders and heart failure. RV-PA ventriculoarterial coupling is a matching between RV contractility (Ees – End-Systolic Elastance) and afterload (Ea – Effective Arterial Elastance). While ventriculoarterial coupling has been extensively described in the LV and used to determine optimal conditions for the efficient transfer to blood from the ventricle into the aorta, it remains unclear whether this relationship can be translated to the thinner walled RV that pumps at lower pressures against a more compliant pulmonary vascular system. Therefore, the pressure-volume (PV)-loop studies in this thesis were undertaken to assess whether ventriculoarterial uncoupling due to pressure overload or sub-optimal contractility contributed to further RV diastolic dysfunction. An in-vivo porcine model of RV-PA ventriculoarterial coupling was developed to define optimal conditions. This animal model was used to provide insights into two clinical patient groups that have RV dysfunction due to: i) long-term RV pressure overload in patients with a clinical diagnosis of chronic thromboembolic disease (CTED) / pulmonary hypertension (CTEPH); and ii) aortic valve stenosis transmitted by ventricular interdependence and septal wall reconfiguration in patients treated with transcatheter aortic valve implantation (TAVI). The animal model determined an ventriculoarterial coupling ratio at maximal stroke work (Ees/Eamax sw = 0.68±0.23) threshold, below which cardiac output and RV stroke work fell. In the first clinical study this threshold was used to reclassify 25% of a cohort of patients with CTED or CTEPH. Two patients with CTED were identified with an EesEa below 0.68 suggesting occult RV dysfunction whilst three patients with CTEPH demonstrated Ees/Ea≥0.68 suggesting residual RV energetic reserve. In the second clinical study ventricular interdependence phenomena caused septal reconfiguration and increased RV volumes after valve deployment, due to the reduction in LV afterload. However, the rapid pacing (RP) protocol used to stabilise the aortic valve during deployment also caused RP-induced ischemia and stunning. This resulted in the reduction of Ees and led to Ees/Ea uncoupling and further diastolic dysfunction. This work has demonstrated that: Low Ees/Ea aligns with features of RV maladaptation in CTED. Characterization of Ees/Ea in CTED may allow for better identification of occult RV dysfunction in patients with otherwise normal pulmonary hemodynamics; and a reduction in Ees following TAVI correlates with increased RV diastolic dysfunction, due to RP-induced ischemia and stunning.
Large-Scale Data Pollution with Apache Spark

Because of the increasing volume of autonomously collected data objects, duplicate detection is an important challenge in today's data management. To evaluate the efficiency of duplicate detection algorithms with respect to big data, large test data sets are required. Existing test data generation tools, however, are either not able to produce large test data sets or are domain-dependent which limits their usefulness to a few cases. In this paper, we describe a new framework that can be used to pollute a clean, homogeneous and large data set from an arbitrary domain with duplicates, errors and inhomogeneities. To prove its concept, we implemented a prototype which is built upon the cluster computing framework Apache Spark and evaluate its performance in several experiments.