Miracle-dz/UniFAR-FTUs huggingface dataset:
Tuberculosis en Argentina: desigualdad social y de género

This article seeks to describe the distribution of tuberculosis in Argentina and analyze the social and gender inequality of the distribution within the period of 1990-2011. In order to accomplish this, the official data from tuberculosis case notifications in the country was used, and the rates were calculated per 100,000 inhabitants by jurisdiction and department, by age group and by sex. The inequality in the distribution was analyzed using the Gini index and the association with social conditions using the concentration index and the effect index; the trend was studied using exponential regression. The results demonstrate that tuberculosis rates are higher between 20 and 34 years of age and are greater in males. There is a marked inequality among jurisdictions (Gini index = 0.273) which is even greater among departments (Gini index = 0.391) and is higher in females (0.411) than in males (0.394). The distribution of tuberculosis was associated with worse social conditions (effect index = -0.212) and this association was stronger in females (effect index = 11.4, 6.4, 16.4). The downward trend in tuberculosis rates observed between 1990 and 2011 has not contributed to reducing the gaps among jurisdictions and departments nor has it reduced the inequality in the distribution of tuberculosis associated with the unfavorable social conditions of the population.
Sensor Data Streams Correlation Platform for Asthma Management

Sridharan, Vaikunth. M.S., Department of Computer Science and Engineering, WRIGHT STATE UNIVERSITY, 2018. Sensor Data Streams Correlation Platform for Asthma Management. Asthma is a high-burden chronic inflammatory disease with prevalence in children with twice the rate compared to adults. It can be improved by continuously monitoring patients and their environment using the Internet of Things (IoT) based devices. These sensor data streams so obtained are essential to comprehend multiple factors triggering asthma symptoms. In order to support physicians in exploring causal associations and finding actionable insights, a visualization system with a scalable cloud infrastructure that can process multimodal sensor data and Patient Generated Health Data (PGHD) is necessary. In this thesis, we describe a cloud-based asthma management and visualization platform that integrates personalized PGHD from kHealth1 kit and outdoor environmental observations from web services2. When applied to data from an individual, the tool assists in analyzing and explaining symptoms using ”personalized” causes, monitor disease progression, and improve asthma management. The front-end visualization was built with Bootstrap Framework and Highcharts. Google’s Firebase and Elasticsearch engine were used as back-end storage to aggregate data from various sources. Further, Node.js and Express Framework were used to develop several Representational State Transfer services useful for the visualization. 1http://wiki.knoesis. org/index.php/Asthma 2https://en.wikipedia. org/wiki/Web service iii
Study on Clinical-Radiological Profile of Patients with Sero-Negative And SeroPositive Rheumatoid Arthritis According to the Eular Criteria

Aims: Study On Clinical-Radiological Profile Of Patients With Sero-Negative And Sero-Positive Rheumatoid Arthritis According to the EULAR Criteria. Methods: This is a analytical observational study where we proposed to analyse the clinical features in respect to the work disability and functional impairment as well as the radiological progression /damage in two groups of seronegative and the seropositive subjects Results: This study was conducted to correlate the clinical and radiological changes between Seronegative and Seropositive rheumatoid arthritis diagnosed according to the EULAR criteria.Maximum patients were between 61 to 70 age group in the Seronegative group forming 38.07%, whereas in the Seropositive subjects it is 61 to 70 years forming 33.93% and also 51 to 60 years forming 25% of the total age group.Females formed the major group constituting 69.6 % as compared to 30.35% of males.EULAR scores were greater in the Seropositive subjects ( 7.35±1.048) as compared to Seronegative subjects ( 6.59±0.696)Pain scale was higher in the Seropositive subjects ( 65.32 ±16.95 with P<0.0001)as compared to the Seronegative subjects ( 36.11 ±21.70 ) Wellness scale was greater in the Seronegative subjects assessed by the examiner ( 62.97 ±21.34) as compared to the Seropositive subjects which was 40.42 ±18.59. Health assessment questionnaire (HAQ-DI) scores were greater in the Seropositive subjects 92.07 ±0.491 ) as compared to the Seronegative subgroups which is 0.959 ±0.451. Disease activity index 28 ( DAS28) score was higher in Seropositive subgroup ( 5.05±0.812 ) as compared to to Seronegative subgroup which was 3.18 ±0.715. Conclusions: In our study maximum patients belonged to the 60 to 70 age group that were diagnosed as RA, who were further classified as seronegative and seropositive subgroups.The seropositive subgroup showed more clinical disease and disability progression as compared to the seronegative subgroup when compared with the various disease activity indices and scoring systems for Rheumatoid arthritis at the given point of time.Similarly, radiological progression or erosions was seen to be more in the seropositive subgroup where maximum patients were grouped under the grade 5 class of Larsen’s scoring system, whereas for the seronegative subgroup, maximum patients had progression only upto class 3 of larsen’s indicating a more pronounced radiological damage in SP subgroup at the given point of time. Our study observations point to a greater clinical and radiological rheumatoid disease activity in cases which are seropositive as compared to the seronegative counterparts in the study when different appropriate scoring systems and scales were properly applied . -------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 20 -09-2017 Date of acceptance: 30-09-2017 -------------------------------------------------------------------------------------------------------------------------------------
Castration induces antiapoptotic effects during myocardial regional ischemia reperfusion

Restoration of blood flow to ischemic myocardium results in the ischemia reperfusion (I/R) injury. This study was undertaken to investigate the potential role of endogenous testosterone in the regional ischemia reperfusion and apoptosis of the male rat hearts. Rats underwent surgical ligation of LAD and subjected to ischemia for 25 min and reperfusion for 40 min, and 2nd underwent surgical castration, left 3wks for recovery, then underwent surgical LAD ligation. Blood samples were collected from the heart for measurement of plasma level of cardiac troponin I (cTn-I). The hearts were harvested, and divided into 3 sections, the 1st for the measurement of cardiac apoptosis level, the 2nd homogenized for measurement of tissue (TNF-α, IL1-β, ICAM-1) and the 3rdwas fixed in 10% formalin for histological examination. Compared with the sham group, levels of tissue TNF-α & IL-1β, ICAM-1 and apoptosis; plasma cTn-I were increased (P<0.05) in the control group, all control group rats showed significant myocardial injury (P<0.05) compared with the sham group. Castration significantly counteracts the increase in myocardial levels of TNF-α, IL-1, ICAM-1, plasma cTn-I and apoptosis (P<0.05). Histological analysis revealed that castration markedly reduced (P<0.05) the severity of the heart injury in the rats underwent the regional ischemia-reperfusion procedure. This study reveals that surgical castration may ameliorate regional I/R injury and apoptosis in the ischemic heart in rats.
Fast Multi Model Motion Segmentation on Road Scenes

We propose a novel motion clustering formulation over spatio-temporal depth images obtained from stereo sequences that segments multiple motion models in the scene in an unsupervised manner. The motion models are obtained at frame rates that compete with the speed of the stereo depth computation. This is possible due to a decoupling framework that first delineates spatial clusters and subsequently assigns motion labels to each of these cluster with analysis of a novel motion graph model. A principled computation of the weights of the motion graph that signifies the relative shear and stretch between possible clusters lends itself to a high fidelity segmentation of the motion models in the scene. The fidelity is vindicated through accuracies reaching 89.61% on KITTI and complex native sequences.
xsd : Stringrdfs : rangename rdf : Propertyrdf : typename Personrdfs : subClassOfStudent rdfs : Classrdf : typeStudent TRIPLES Subject Predicate Object Person rdf : type rdfs : Class Ontologie Instances

Le Web Sémantique vise à permettre l’intégration et le partage d’informations entre différentes applications et organisations en utilisant des annotations basées sur des instances d’ontologies. Avec l’augmentation du volume de ces données, deux problèmes doivent être traités : (1) le problème du passage à l’échelle (scalabilité) et (2) le problème des performances des raisonnements. Les raisonneurs en mémoire centrale permettent de réaliser des raisonnements très efficacement, mais ils supportent difficilement des données de grande taille. Cet article discute de l’utilisation de bases de données, plus précisément de Bases de Données à Base Ontologique (BDBO), pour gérer les données d’annotation du Web Sémantique. De tels systèmes sont en mesure de gérer des données de taille réelle. Par contre, leur principale faiblesse est leur faible capacité de raisonnement et de déduction. C’est pourquoi nous proposons une approche qui consiste à enrichir les instances d’annotation avec des propriétés numériques ou alphanumériques permettant de remplacer certains raisonnements déductifs par des requêtes numériques. Les raisonnements auxquels nous nous intéressons ici sont les relations d’ordre qui recouvrent en particulier la subsomption, les taxonomies d’inclusion ensembliste et l’inclusion spatiale. Nous définissons formellement comment cette approche peut être implémentée et nous proposons également une extension des langages d’ontologies pour permettre de représenter explicitement ces cas. Les ontologies étant stockées dans les BDBO, ces extensions permettent au système de gestion des BDBO de réaliser dynamiquement l’enrichissement des instances et de réécrire les requêtes en des requêtes numériques. Nous présentons son implémentation sur OntoDB, une BDBO développée dans notre laboratoire.
Computational Study of the Effect of Interparticle Contact in Conductive Properties of Random Particulate Systems

The effective conductivity of random particulate material system is computationally investigated using the Monte Carlo scheme and finite element method. A cubic system consisting of randomly-dispersed, equal-sized, deformable ellipsoids are modeled in this study. The steady-state conduction analysis along with a finite element analysis are performed to evaluate the electrical or thermal conductivity for the mechanical contact system. To represent more realistic material system, interfacial friction and gap conductance (or contact resistance) are included among the contacting particles. The Monte Carlo simulations are implemented to give a quantitative relationship between the effective conductivity and the inclusion volume fraction. Several parametric studies are performed to quantify the relationships, for example, (1) the particle number, (2) the particle shape, (3) the random distribution of particle, (4) the interfacial friction, (5) gap conductance. The study reveals the nonlinear relationship of the gap conductance with respect to the overall conductivity. Therefore, the mechanical properties of particulate system are strongly dependent on the interactions among inclusions. The study of microstructure of material is merited in advanced composite manufacture.
On the design of a shape memory alloy spring actuator using thermal analysis

Due to their unique properties and behavior, the Shape Memory Alloys (SMAs) play an increasingly important role in the intelligent systems performance. Recent applications in structural actuation and sensing demand increased material capabilities. This paper reviews the main advantages and the properties of SMAs and presents the design strategy for a typical shape memory actuator configuration of intelligent systems, using as active element Ni-Ti SMA spring working against a conventional steel spring. It also includes the thermal analysis experiments, in order to determine the transformation temperatures for the studied SMA spring. For design optimization a comprehensive graphical interface (based on the thermal analysis results), which runs under Visual Basic, has been developed for this application. It provides a user friendly environment allowing intelligent system parameters configuration as well as choosing the most adapted analysis methods and data displaying.
Shear wave splitting in SE Brazil : an e ¡ ect of active or fossil upper mantle £ ow , or both ? §

We investigated the structure of the upper mantle beneath southeastern Brazil using teleseismic shear wave splitting measurements. Measurements were performed on seismic data recorded in the Ribeira and Brasilia Neoproterozoic belts, which wrap around the southern termination of the Sa‹o Francisco craton and disappear westward under the Parana¤ basin. In the northern Ribeira belt, dominated by thrust tectonics, the fast shear wave polarization planes trend on average N080‡E, whereas in the central domain, dominated by strike-slip tectonics, fast shear waves are polarized parallel to the structural trend (N065‡E). Stations located above the main transcurrent fault display large delay times (s 2.5 s). Such values, among the largest in the world, require either an unusually large intrinsic anisotropy frozen within the lithosphere, or a contribution from both the lithospheric and asthenospheric mantle. Within the southern Brasilia belt, fast split shear waves are polarized parallel to the structural trend of the belt, at a high angle from the APM. Although part of our data set strongly favors an origin of anisotropy related to a fabric frozen in the lithospheric mantle since the Neoproterozoic, a contribution of the asthenospheric flow related to the present day plate motion is also required to explain the observed splitting parameters. > 2003 Elsevier Science B.V. All rights reserved.
Universal Current-Mode Biquad Employing Dual Output Current Conveyors and MO-CCCA with Grounded Passive Elements

A new universal multiple input multiple output (MIMO) type current-mode biquad employing two dual output current conveyors (DOCCII), one multiple output current controlled current amplifier (MOCCCA) and four passive grounded elements is proposed which can realize all the five basic filtering functions namely, low-pass (LP), high-pass (HP), band-pass (BP), band-stop (BR) and all-pass (AP) in current mode from the same configuration. The centre frequency can be set by the passive elements of the circuit and the quality factor Q0 is electronically tunable through bias currents of the MOCCCA. Therefore, the biquad filter has independent tenability for the and Q0. The active and passive sensitivities of Q0 and are low. The workability of the new configuration has been demonstrated by PSPICE simulation results based upon a CMOS CCII in0. 35μm technology.
Mitochondrial Dysfunction Signature in Diabetic Vascular Endothelium

Mitochondrial dysfunction/malfunction is an important risk factor for the onset and progression of endothelial cells dysfunction, a key contributor to diabetes mellitus associated cardiovascular disease. The topics discussed here are: (i) The regulatory role of mitochondrial ROS in normal, healthy vascular endothelium, (ii) The adverse alteration of mitochondrial function in diabetes-related endothelial dysfunction, (iii) The endeavors towards correction of mitochondrial malfunction in dysfunctional endothelium, (iv) The key points of mitochondria-targeted interventions in diabetic patients, and (v) The pending, incompletely understood issues that open new basic research directions and may conduct to innovative therapeutic strategies in diabetes.
Modelling longwave radiation to snow beneath forest canopies using hemispherical photography or linear regression

Forest canopies reduce shortwave radiation and increase longwave radiation reaching the underlying surface, compared with open areas, and thus influence rates at which forest snowpacks melt. The sub‐canopy radiative environment can be highly heterogeneous, with temporal persistence depending on canopy structure and differing for shortwave and longwave fluxes, and this influences the rate at which snow‐free ground emerges during snowmelt. Arrays of radiometers have been used to measure spatial variability in forest radiation, but such instruments are expensive and require regular attention in snowy environments. Hemispherical photography allows rapid collection of canopy structure data, and many software packages have been developed for modelling transmission of shortwave radiation using hemispherical photographs, but modelling of longwave radiation has received much less attention. Results are used here from radiometers located beneath lodgepole pine stands of varying density at the Marmot Creek Research Basin in Alberta, Canada. A simple model using sky view calculated from hemispherical photographs to weight longwave emissions from the canopy, calculated using measured air temperature as a proxy for canopy temperature, and measured above‐canopy longwave radiation is found to give good estimates for spatial averages of sub‐canopy longwave radiation, although standard deviations are generally underestimated. If above‐canopy longwave radiation is parametrized as a function of air temperature and humidity rather than measured, good results are still obtained for daily and longer averages of sub‐canopy longwave radiation. A multiple linear regression model using measurements of above‐canopy shortwave radiation to estimate daytime canopy heating gives better results in comparison with individual radiometers. Copyright © 2008 John Wiley & Sons, Ltd.
Clinical significance of GTSE 1 expression in colorectal carcinoma

GTSE1 is an important cell cycle regulatory gene and located on microtubules, which has been reported to be overexpressed in lung cancer, breast cancer and oral tongue squamous cell carcinoma etc. However, the expression of GTSE1 and its clinical pathological significance remains to be elucidated in colorectal carcinoma (CRC). Public microarray data, TCGA data and immunohistochemical staining were applied to analyze the mRNA or protein expression levels of GTSE1 in CRC. GTSE1 was found to be significantly up-regulated in 198 CRC tissues when compared with those in adjacent non-tumor tissues. Furthermore, our data showed that up-regulation of GTSE1 was associated with age, pathological tumor-node-metastasis (TNM) stage and chemotherapy. Relationship between GTSE1 expression and risk of death or recurrence were assessed by Kaplan-Meier survival curves and Cox regression model, but no notable results were obtained. We presume GTSE1 might act as a potential factor that contributes to progression of CRC.
Enhancing the understanding of statistical data through the creation of physical objects

Abstract: For many people outside of the scientific community statistical information and graphics remain abstract and unintelligible. This research begins to investigate how we might interrogate statistical information from the engineering sector through the creation of material/physical objects, with the intention of bringing better understanding and increased accessibility to scientific data. This inquiry will be achieved through a strategy of media transformations that move information sources between digital and material environments, for example; by translating digital statistics into 3D computer models, which can then be output into real-world objects using 3D printing techniques. Undertaken by a multidisciplinary team of designers, engineers, technologists and end-user communities the project aims to investigate how these translation strategies can be used to communicate and transfer knowledge between different stakeholders. User centered activities will be conducted to explore what visual metaphors might be appropriate for different contexts.
Adolescent Mental Health INTRODUCTION Chapter A . 9

This publication is intended for professionals training or practicing in mental health and not for the general public. The opinions expressed are those of the authors and do not necessarily represent the views of the Editor or IACAPAP. This publication seeks to describe the best treatments and practices based on the scientific evidence available at the time of writing as evaluated by the authors and may change as a result of new research. Readers need to apply this knowledge to patients in accordance with the guidelines and laws of their country of practice. Some medications may not be available in some countries and readers should consult the specific drug information since not all dosages and unwanted effects are mentioned. Organizations, publications and websites are cited or linked to illustrate issues or as a source of further information. This does not mean that authors, the Editor or IACAPAP endorse their content or recommendations, which should be critically assessed by the reader. Websites may also change or cease to exist. ©IACAPAP 2013. This is an open-access publication under the Creative Commons Attribution Non-commercial License. Use, distribution and reproduction in any medium are allowed without prior permission provided the original work is properly cited and the use is non-commercial. Send comments about this book or chapter to jmreyATbigpond.net. au Suggested citation: Machado JD, Caye A, Frick PJ, Rohde LA. DSM-5. Major changes for child and adolescent disorders. In Rey JM (ed), IACAPAP e-Textbook of Child and Adolescent Mental Health. Geneva: International Association for Child and Adolescent Psychiatry and Allied Professions 2013. Julia D Machado Arthur Caye
Landmark Trials in Renal Cancer

The therapy of kidney cancer has made multiple major advances. Eleven agents are now approved by FDA for treatment of metastatic RCC and one agent is approved for adjuvant therapy for localized high risk disease post nephrectomy. In addition the trials addressing the role of surgery also represent major strides in therapy. All these advances in RCC therapeutics have occurred through clinical trials. This paper is a summary of landmark trials that have been critical in the therapeutic development journey in advancing the care and improving outcomes in kidney cancer. The front line therapies are summarized starting with immunotherapy with high dose interleukin-2 to targeted therapies such as bevacizumab (monoclonal antibody), receptor tyrosine kinases such as sorafenib, sunitinib, and pazopanib and MTOR inhibitors lke temsirolimus in the front line setting. Recently the combinations of ipilimumab and nivolumab as well as bevacizumab and atezolizumab have demonstrated promising efficacy in metastatic disease and these regimens are likely to receive FDA approval. In second line and beyond, therapies such as everolimus, nivolumab, lenvatinib+ everolimus and Cabozantinib have proven benefit. Adjuvant post nephrectomy trials have been conducted with conflicting results. Majority have shonwn lack of benefit, however one study conducted in T3/T4/N1 disease revealed statistically significant disease free survival favoring ajuvant sunitinib therapy leading to FDA approval. This paper summarizes the data from the reported trials and discusses recent developments in RCC