Miracle-dz/UniFAR-FTUs huggingface dataset:
Does your child have asthma? Parent reports and medication use for pediatric asthma.

OBJECTIVE To assess parental reporting of diagnosis used in surveys as an indicator of pediatric asthma prevalence. METHODS Analysis of the Medical Expenditure Panel Survey, 1996 and 1997 (10 404 children aged from 0 to 17 years). All values are expressed as mean (SE). RESULTS Asthma medications were purchased for 2.5% (0.2%) of children. Parents of 45.4% (4.0%) of these children failed to report asthma, including 41.3 (10.5%) of those for whom maintenance medications were purchased. These findings remained unchanged when very young children were excluded from the sample. Controlling for insurance coverage, no racial, ethnic, or socioeconomic disparities in reported asthma were found; however, poor children were more likely to have maintenance medications purchased (odds ratio, 4.9; 95% confidence interval, 2.3-10.4). CONCLUSIONS Surveys of parental reports of asthma overlook many children with active disease. Dependence on parental reports may underestimate the prevalence of serious asthma among poor children. The parents in this study who fail to report asthma may represent a group that perceives their children's disease as less serious a problem despite active purchasing of medications.
A Real-Time Hand Gesture System based on Evolutionary Search

In this paper, we consider a vision-based system that can interpret a user’s gestures in real time to manipulate objects within a medical data visualization environment. Dynamic navigation gestures are translated to commands based on their relative positions on the screen. Static gesture poses are identified to execute nondirectional commands. This is accomplished by using Haar-like features to represent the shape of the hand. These features are then input to a Fuzzy C-Means Clustering algorithm for pose classification. A probabilistic neighborhood search algorithm is employed to automatically select a small number of Haar features, and to tune the fuzzy c-means classification algorithm. The gesture recognition system was implemented in a sterile medical data-browser environment. Test results on four interface tasks showed that the use of a few Haar features with the supervised FCM yielded successful performance rates of 95 to 100%. In addition a small exploratory test of the Adaboost Haar system was made to detect a single hand gesture, and assess its suitability for hand gesture recognition.
Simultaneous measurements of facial and intraoral articulation

Simultaneous measurements of tongue and facial motion, using a combination of electromagnetic articulography (EMA) and optical motion tracking, are analysed to improve the articulation of an animated talking head and to investigate the correlation between facial and vocal tract movement. The recorded material consists of VCV and CVC words and 270 short everyday sentences spoken by one Swedish subject.
Comparative Estimates of Bacterial Affinities and Adsorption Sites on Hydroxyapatite Surfaces

The adsorption of strains of prominent oral bacteria to hydroxyapatite (HA) surfaces was studied by use of an adsorption model based on the Langmuir adsorption isotherm; this permitted comparative estimates of the number of adsorption sites and the strength of the adsorption bonds on untreated and salivatreated HA surfaces for strain of Streptococcus mutans, S. salivarius, S. sanguis, S. mitis, Actinomyces viscosus, and A. naeslundii. The experimental data closely followed the adsorption model as judged by the high correlation coefficients obtained for all strains studied. Adsorption to untreated HA was similar for strains of the six species studied, suggesting that a common adsorption mechanism, possibly Ca2+ bridging, may exist for attachment to HA. More complex interactions appeared to be involved in bacterial adsorption to saliva-treated HA since adsorption of the strains tested at unsaturating cell concentrations varied more than 30-fold. This indicates that adsorbed salivary components on HA surfaces impart a higher order of specificity for subsequent bacterial adsorption. Fewer cells of strains of S. mutans, S. salivarius, and A. naeslundii adsorbed to saliva-treated HA than to untreated HA because adsorbed salivary components presented fewer adsorption sites. Substantially higher numbers of cells of strains of S. sanguis, S. mitis, and A. viscosus adsorbed to saliva-treated HA because the film of adsorbed salivary components increased the number of adsorption sites for these strains. The affinity constants for all but one strain studied were lower on saliva-treated HA than on untreated HA. The number of bacterial cells which adsorbed to saliva-treated HA more closely related to the number of available binding sites than to the strength of their adsorption bonds when tested at an initial concentration of 2 × 107 organisms/ml. Although some differences were observed in the adsorption of strains of S. mutans representative of five serological groups, the numbers which attached to saliva-treated HA did not vary widely; this suggests that factors other than their ability to attach to a pellicle-covered HA surface may be responsible for their varying geographic distribution in human populations.
Frequency scanning slotted waveguide in the sub-millimeter wave band

In this work, a waveguide slotted antenna array working in the sub-millimeter wave band is presented. The antenna performs beam tilting from 68 to 89 degrees in the H-plane while sweeping the frequency from 240 GHz to 310 GHz. Sixteen rectangular slots have been cut in the wide surface of a standard WR-3 brass metal rectangular waveguide to obtain the desired behavior. The antenna has been fabricated combining laser and mechanical prototyping machinery. Experimental results showing the main waveguide slotted antenna array characteristics are also presented.
U-path: An undirected path-based measure of semantic similarity

In this paper, we present the results of a method using undirected paths to determine the degree of semantic similarity between two concepts in a dense taxonomy with multiple inheritance. The overall objective of this work was to explore methods that take advantage of dense multi-hierarchical taxonomies that are more graph-like than tree-like by incorporating the proximity of concepts with respect to each other within the entire is-a hierarchy. Our hypothesis is that the proximity of the concepts regardless of how they are connected is an indicator to the degree of their similarity. We evaluate our method using the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), and four reference standards that have been manually tagged by human annotators. The overall results of our experiments show, in SNOMED CT, the location of the concepts with respect to each other does indicate the degree to which they are similar.
Burnout and Sleep Quality: A Cross-Sectional Questionnaire-Based Study of Medical and Non-Medical Students in India

Introduction It is well documented that on entering college, students experience a multitude of changes in sleep habits. Very few studies have been conducted that explore sleep quality in Indian undergraduate students; fewer still study the effects of burnout in the same population. Medical students, in particular, are believed to be more stressed, sleep deprived, and burnt out than their non-medical peers. Methods A cross-sectional study was conducted to study sleep disturbances and burnout in a sample of 214 Indian undergraduate students (112 medical, 102 non-medical). The instruments used to measure the sleep quality and burnout were the PSQI (Pittsburgh Sleep Quality Index) and OLBI (Oldenburg Burnout Inventory), respectively. Differences between continuous variables were analysed using Wilcox Mann Whitney U-tests. Bivariate Spearman’s rho correlations were done to identify correlations between the individual burnout components and the PSQI sleep quality components. Results Of the students surveyed, 62.6% were found to be poor sleepers with an average score of 6.45 ± 2.85. It was seen that 20% of the students (n = 43) slept less than five hours a day. Medical students, in particular, were found to have more poor sleep (72.9%) than their non-medical peers (51.9%; p < 0.001). Of the sampled women, 65.8% were poor sleepers, as compared to 62.1% of the sampled men, but the difference was not statistically significant. The average scores of the burnout dimensions were 2.43 ± 0.57 for exhaustion and 2.32 ± 0.53 for disengagement. Both exhaustion and disengagement correlated with PSQI sleep scores (Rho 0.21, p 0.001) and (Rho = 0.18, p = 0.008), respectively. The exhaustion dimension of burnout was higher in medical students (2.46 ± 0.55) than in non-medical students (2.38 ± 0.59), but was seen to correlate more with the PSQI sleep score in the non-medical group (Rho = 0.62, p < 0.001). The PSQI scores showed a weak but significant correlation with academic year (rho = -0.19, p = 0.004). Unlike the sleep scores, the burnout dimensions did not correlate well with the academic year. Conclusions Burnout and sleep quality are both uncommonly studied topics in India. Fostering a healthier and more proactive approach to tackling burnout and poor sleep quality may help unearth culture specific causes for some of the results we have demonstrated.
Design and analysis of an adaptive mobility management scheme for handling internet traffic in wireless mesh network

Wireless Mesh Network (WMN) has emerged as an important technology in recent years. A major problem with WMN is provisioning of seamless and high speed internet connectivity to the mobile Mesh Clients (MC). For solving this problem many mobility management protocols for example imesh, MEsh networks with MObility management and Mesh Mobility Management have been proposed. The disadvantage of the schemes is higher cost for mobility management. This paper proposes a session-to-mobility ratio (SMR) based mobility management scheme. The scheme enables the MC to send location update message to the gateway, uses forward chain, tunneling and a threshold SMR value for reducing the cost of mobility management. The effect of selection of the threshold SMR on cost per handoff, cost per packet delivery and total communication cost per time unit have been investigated in the paper.
Caveolin-3 Upregulation Activates β-Secretase–Mediated Cleavage of the Amyloid Precursor Protein in Alzheimer’s Disease

Here, we investigate the involvement of caveolins in the pathophysiology of Alzheimer’s disease (AD). We show dramatic upregulation of caveolin-3 immunoreactivity in astroglial cells surrounding senile plaques in brain tissue sections from authentic AD patients and an established transgenic mouse model of AD. In addition, we find that caveolin-3 physically interacts and biochemically colocalizes with amyloid precursor protein (APP) both in vivo and in vitro. Interestingly, recombinant overexpression of caveolin-3 in cultured cells stimulated β-secretase–mediated processing of APP. Immunoreactivities of APP and presenilins were concomitantly increased in caveolin-3–positive astrocytes. Because the presenilins also form a physical complex with caveolin-3, caveolin-3 may provide a common platform for APP and the presenilins to associate in astrocytes. In AD, augmented expression of caveolin-3 and presenilins in reactive astrocytes may alter APP processing, leading to the overproduction of its toxic amyloid metabolites.
Modal Logics for Nominal Transition Systems

A concurrent system is a computer system with components that run in parallel and interact with each other. Such systems are ubiquitous and are notably responsible for supporting the infrastructure for transport, commerce and entertainment. They are very difficult to design and implement correctly: many different modeling languages and verification techniques have been devised to reason about them and verifying their correctness. However, existing languages and techniques can only express a limited range of systems and properties.In this dissertation, we address some of the shortcomings of established models and theories in four ways: by introducing a general modal logic, extending a modelling language with types and a more general operation, providing an automated tool support, and adapting an established behavioural type theory to specify and verify systems with unreliable communication.A modal logic for transition systems is a way of specifying properties of concurrent system abstractly. We have developed a modal logic for nominal transition systems. Such systems are common and include the pi-calculus and psi-calculi. The logic is adequate for many process calculi with regard to their behavioural equivalence even for those that no logic has been considered, for example, CCS, the pi-calculus, psi-calculi, the spi-calculus, and the fusion calculus.The psi-calculi framework is a parametric process calculi framework that subsumes many existing process calculi. We extend psi-calculi with a type system, called sorts, and a more general notion of pattern matching in an input process. This gives additional expressive power allowing us to capture directly even more process calculi than was previously possible. We have reestablished the main results of psi-calculi to show that the extensions are consistent.We have developed a tool that is based on the psi-calculi, called the psi-calculi workbench. It provides automation for executing the psi-calculi processes and generating a witness for a behavioural equivalence between processes. The tool can be used both as a library and as an interactive application.Lastly, we developed a process calculus for unreliable broadcast systems and equipped it with a binary session type system. The process calculus captures the operations of scatter and gather in wireless sensor and ad-hoc networks. The type system enjoys the usual property of subject reduction, meaning that well-typed processes reduce to well-typed processes. To cope with unreliability, we also introduce a notion of process recovery that does not involve communication. This is the first session type system for a model with unreliable communication.
Genetic and transcriptional organization of the hrp cluster of Pseudomonas syringae pv. phaseolicola

The hrp cluster of Pseudomonas syringae pv. phaseolicola encodes functions that are essential for pathogenicity on bean plants and for the elicitation of the hypersensitive response on resistant plants. The cluster was saturated with insertions of transposon Tn3-spice that served both as a mutagen and as a sensitive reporter of the expression of the target regions. The mutations covered a 17.5-kb segment in strain NPS3121, in which seven hrp::Tn5 insertions had been previously mapped, and regions outside this segment. The cluster is organized into seven distinct complementation groups (hrpL, hrpAB, hrpC, hrpD, hrpE, hrpF, and hrpSR) on the basis of the analysis of over 100 Tn3-spice insertions in plasmids and 43 similar insertions in the chromosome; it spans nearly 22 kb and is chromosomally located. The transcriptional orientation of all genes in the cluster was established by measuring the level of ice nucleation activity of complemented merodiploids carrying chromosomal hrp::inaZ fusions after inoculation in Red Kidney bean leaves. Although all seven loci were actively expressed in Red Kidney bean leaves, none of them was substantially expressed when the bacteria were grown in King B broth medium. Mutations in all loci, except those in hrpC, greatly reduced the ability of the bacteria to multiply in bean leaves. Mutations in the hrpC locus, although preventing the bacteria from eliciting a hypersensitive reaction on tobacco, allowed the bacteria to produce delayed and attenuated symptoms in Red Kidney bean leaves and to multiply to a level 10(2)- to 10(3)-fold lower than that of the wild-type strain. This is the first comprehensive report of the genetic and transcriptional organization of the hrp gene cluster in a phytopathogenic bacterium.
StreamMine3G OneClick -- Deploy and Monitor ESP Applications with a Single Click

In this paper, we present StreamMine3G One Click, a web based application relieving users from the burden of the complex installation and setup process of Event Stream Processing (ESP) systems such as StreamMine3G in cloud environments. Using StreamMine3G One Click, users just upload their application logic and choose their favorite cloud provider such as Amazon AWS. StreamMine3G One Click performs an automatic installation process ensuring a correct setup of StreamMine3G and dependent services such as Zookeeper in the cloud. Furthermore, StreamMine3GOneClick offers a convenient graphical monitoring interface giving users an instantaneous insight of the performance to identify bottlenecks as well as to easily trace down bugs in their applications.
Lessons learned from atmospheric modeling studies after the Fukushima nuclear accident: Ensemble simulations, data assimilation, elemental process modeling, and inverse modeling

Modeling studies on the atmospheric diffusion and deposition of the radiocesium associated with the Fukushima Daiichi Nuclear Power Plant accident is reviewed here, with a focus on a research collaboration between l'Institut de Radioprotection et de Surete Nucleaire (IRSN)—the French institute in charge of evaluating the consequences of nuclear accidents and advising authorities in case of a crisis—and the Meteorological Research Institute (MRI) of the Japan Meteorological Agency—an operational weather forecasting center in Japan. While the modelers have come to know that wet deposition is one of the key processes, the size of its influence is unknown. They also know that the simulation results vary, but they do not know exactly why. Under the research collaboration, we aimed to understand the atmospheric processes, especially wet deposition, and to quantify the uncertainties of each component of our simulation using various numerical techniques, such as ensemble simulations, data assimilation, elemental process modeling, and inverse modeling. The outcomes of these collaborative research topics are presented in this paper. We also discuss the future directions of atmospheric modeling studies: data assimilation using the high temporal and spatial resolution surface concentration measurement data, and consideration of aerosol properties such as size and hygroscopicity into wet and dry deposition schemes. Copyright © 2018 by The Geochemical Society of Japan.
Modelling political disaffection from Twitter data

Twitter is one of the most popular micro-blogging services in the world, often studied in the context of political opinion mining for its peculiar nature of online public discussion platform. In our work we analyse the phenomenon of political disaffection defined as the "lack of confidence in the political process, politicians, and democratic institutions, but with no questioning of the political regime". Disaffection for organised political parties and institutions has been object of studies and media attention in several Western countries. Especially the Italian case has shown a wide diffusion of this attitude. For this reason, we collect a massive database of Italian Twitter data (about 35 millions of tweets from April 2012 to October 2012) and we exploit scalable state-of-the-art machine learning techniques to generate time-series concerning the political disaffection discourse. In order to validate the quality of the time-series generated, we compare them with indicators of political disaffection from public opinion surveys. We find political disaffection on Twitter to be highly correlated with the indicators of political disaffection in the public opinion surveys. Moreover, we show the peaks in the time-series are often generated by external political events reported on the main newspapers.
Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction

Recent approaches to distributed model fitting rely heavily on consensus ADMM, where each node solves small sub-problems using only local data. We propose iterative methods that solve {\em global} sub-problems over an entire distributed dataset. This is possible using transpose reduction strategies that allow a single node to solve least-squares over massive datasets without putting all the data in one place. This results in simple iterative methods that avoid the expensive inner loops required for consensus methods. To demonstrate the efficiency of this approach, we fit linear classifiers and sparse linear models to datasets over 5 Tb in size using a distributed implementation with over 7000 cores in far less time than previous approaches.
The embedded control system through real-time task

This paper deals with the study of Embedded Control System through Real-Time Task. In the embedded control system, we decompose a component into several real-time tasks. To ensure safety control of tasks at run-time, we define service and reconfiguration processes for tasks and use the semaphore concept to obtain safety mutual exclusions. The Priority Ceiling Protocol (PCP) is applied as an approach to ensure the scheduling between periodic tasks with precedence and mutual exclusion constraints. We simulate the scheduling of Real-time tasks with PCP through the Cheddar tool.
Introducing crucial protein panel of gastric adenocarcinoma disease

Aim: Since interactome analysis of diseases can provide candidate biomarker panel related to the diseases, in this research, protein-protein interaction (PPI) network analysis is used to introduce the involved crucial proteins in Gastric adenocarcinoma (GA). Background: Gastric adenocarcinoma (GA) is the most common type of stomach cancer. There is no efficient diagnostic molecular method for GA. Method: Applying Cytoscape software 3.4. 0 and String Database, the PPI network was constructed for 200 genes. Based on centrality parameters, the critical nodes were screened. Gene ontology of the key proteins for pathway analysis and molecular function processing were done and the highlighted pathways and activities were discussed. Results: Among 200 initial genes, 141 genes were included in a main connected network. Seven crucial proteins, including tumor protein p53, epidermal growth factor receptor, albumin, v-erb-b2 erythroblastic leukemia viral oncogene homolog 2, neuro/glioblastoma derived oncogene homolog (avian), v-akt murine thymoma viral oncogene homolog 1, v-src sarcoma (Schmidt-Ruppin A-2) viral oncogene homolog (avian) and catenin (cadherin-associated protein), beta 1, 88kDa, and Myogenic differentiation 1, were introduced as key nodes of the network. These identified proteins are mostly involved in pathways and activities related to cancer. Conclusion: In conclusion, the finding is corresponding to the significant roles of these introduced proteins in GA disease. This protein panel may be a useful probe in the management of GA.
A Cube-Based Scheme of IE-ODDM-MLFMA for Electromagnetic Scattering Problems

A cube-based scheme of integral-equation-based overlapped domain decomposition method with multilevel fast multipole algorithm (IE-ODDM-MLFMA) is proposed for the analysis of electromagnetic (EM) scattering problems. In this scheme, each bottom cube is located either inside an iterative region or inside the corresponding incident region, and the iterative and incident regions are complementary to each other from the bottom cube point of view, which makes it convenient to implement the ODDM in the frame of the MLFMA. Numerical examples are presented to validate the proposed scheme.
Locally Adapted Projections to Reduce Panorama Distortions

Displaying panoramic and wide angle views on a flat 2D display surface is necessarily prone to distortions. Perspective projections are limited to fairly narrow view angles. Cylindrical and spherical projections can show full 360° panoramas, but at the cost of curving straight lines, interfering with the perception of salient shapes in the scene.