Miracle-dz/UniFAR-FTUs huggingface dataset:
ASSESSMENT OF EXPOSURE TO ELECTROMAGNETIC FIELDS FROM WIRELESS COMPUTER NETWORKS (WI-FI) IN SCHOOLS; RESULTS OF LABORATORY MEASUREMENTS

Laboratory measurements have been carried out with examples of Wi-Fi devices used in UK schools to evaluate the radiofrequency power densities around them and the total emitted powers. Unlike previous studies, a 20 MHz bandwidth signal analyzer was used, enabling the whole Wi-Fi signal to be captured and monitored. The radiation patterns of the laptops had certain similarities, including a minimum toward the torso of the user and two maxima symmetrically opposed across a vertical plane bisecting the screen and keyboard. The maxima would have resulted from separate antennas mounted behind the top left and right corners of the laptop screens. The patterns for access points were more symmetrical with generally higher power densities at a given distance. The spherically-integrated radiated power (IRP) ranged from 5 to 17 mW for 15 laptops in the 2.45 GHz band and from 1 to 16 mW for eight laptops in the 5 GHz band. For practical reasons and because access points are generally wall-mounted with beams directed into the rooms, their powers were integrated over a hemisphere. These ranged from 3 to 28 mW for 12 access points at 2.4 GHz and from 3 to 29 mW for six access points at 5 GHz. In addition to the spherical measurements of IRP, power densities were measured at distances of 0.5 m and greater from the devices, and consistent with the low radiated powers, these were all much lower than the ICNIRP reference level.
ParaModel: a visual modeling and code skeleton generation system for programming parallel applications

ParaModel is an extensible system for simplifying the development of parallel applications, by providing a unified user interface for modeling visually while generating different code skeletons according to specific runtime environment automatically. A set of construction blocks and rules is designed to describe parallel applications in form of graph, and parsers for different parallel environments are implemented to translate graph to source code skeletons. ParaModel is implemented basing on Eclipse and compatible with its plug-in architecture. With the help of ParaModel, developers can focus on high level design and obtain code skeletons from visually constructed graphical models.
Towands an Epistemological Map of Curriculum in School Mathematics

While being proclaimed as a move to accountability and higher standards, current educational trends in the United States, England and Australia are undoubtedly ideologically driven, influenced by underlying economic rationalist philosophies that owe much to deeper epistemological beliefs about what counts as legitimate knowledge. However existing discussions of epistemology in mathematics education tend to categorise knowledge using binaries such as qualitative or quantitative, hard or soft, pure or applied. In this paper, I describe a technique that may be useful to conduct a more nuanced analysis, and use this technique to carry out a preliminary mapping of one aspect of the proposed Australian National Curriculum in Mathematics.
Evaluation of individual quality of life among hemodialysis patients: nominated themes using SEIQoL-adapted

Background Quality of life (QoL) has become an important issue for patients with chronic renal failure diseases who are permanently undergoing hemodialysis. In this study, an adapted schedule for the evaluation of individual quality of life (SEIQoL-adapted) was used to evaluate QoL among hemodialysis patients, to explore their views about the most important aspects of life satisfaction. Methods and results A multiple approach design and convenience sampling were applied to recruit 53 patients from a hemodialysis unit in Iran. Data were collected through structured interviews and then analyzed using conventional content analysis. A total score for QoL was calculated using scale guideline. The most important aspects of life were health, family, financial status, living conditions, leisure activities, relationships and socializing, religious and spiritual issues, medical knowledge, and therapies or treatments. The calculated mean QoL score was 66.2, indicating a relatively high life satisfaction. Males had higher QoL scores than females in both married and single groups. Moreover, the relationships between the QoL scores and education, job and marital status were not statistically significant. Conclusion The SEIQoL-adapted revealed reasonable lay definitions of QoL in a group of patients following chronic renal failure. The patients’ views of the aspects of life could be used by health policy makers, clinicians, and caregivers as a reliable guide to the most important priorities for treatment and medical interventions.
Insights into the Genome Sequences of an N-Acyl Homoserine Lactone Molecule Producing Two Pseudomonas spp. Isolated from the Arctic

ABSTRACT We report for the first time the draft genome sequence of two psychrotrophic Pseudomonas species, Pseudomonas simiae RGCB 73 and Pseudomonas brenneri RGCB 108, from the Arctic that produce more than one acyl homoserine lactone molecule of varied N-acyl length. The study confirms the presence of a LuxR-LuxI (type) mediated quorum-sensing system in both the Pseudomonas species and enables us to understand the role of quorum sensing in their survival in extremely cold environments.
CAVALCADE: A system for Collaborative Prototyping

Prototype design and testing is an indispensable st age of any project development in many fields of activity, such as aer onautical, spatial, automotive industries or architecture. Scientists a nd engineers rely on prototyping for a visual confirmation and validatio n of both their ideas and concepts. Using computers for designing digital pro totypes is not a new idea since CAD applications are nowadays widely used. In this paper we present
LITL at CLEF eHealth2016: recognizing Entities in French Biomedical Documents

This paper describes the participation of master's students (LITL programme, university of Toulouse) and their teachers to the CLEF eHealth 2016 campaign. Two runs were submitted for task 2 (multilingual information extraction) which consisted in the recognition and categorization of medical entities in French biomedical documents. The system used consists of a CRF classier based on a number of dierent features (POS tagging, generic word lists and syntactic parsing). In addition , several patterns were used on the CRF's output in order to extract more complex entities. The best run achieved high precision (0.640.78) but lower recall (0.320.40), with an overall F1-measure of 0.430. 53.
Abatacept Treatment Does Not Preserve Renal Function in the Streptozocin-Induced Model of Diabetic Nephropathy

Diabetic nephropathy (DN) is one of the most severe complications of diabetes and remains the largest cause of end-stage renal disease in the Western world. Treatment options are limited and novel therapies that effectively slow disease progression are warranted. Previous work suggested that treatment with CTLA4-Ig (abatacept), a molecule that binds and blocks B7-1 and is licensed for the treatment of rheumatoid arthritis, could ameliorate DN. This study was designed to assess whether B7-1 signalling constitutes a promising therapeutic pathway for DN. Mice injected with streptozotocin (STZ) were treated with abatacept and glycemia and renal function were assessed. No differences were found in diabetes progression, albumin excretion rates or albumin/creatine ratios, while mesangial expansion was unaltered at endpoint. Except for increased renal CCL5, treatment did not affect a panel of gene expression endpoints reflecting early fibrotic changes, inflammation and kidney injury. Finally, abatacept treatment effectively reduced the accumulation of activated CD4+ T cells in the kidney, suggesting that renal T cell inflammation is not a driving factor in the pathology of the STZ model. In conjunction with the recent data discounting the expression of B7-1 on podocytes, our present data do not support a role for abatacept in DN treatment.
Molecular Characterisation of Small Molecule Agonists Effect on the Human Glucagon Like Peptide-1 Receptor Internalisation

The glucagon-like peptide receptor (GLP-1R), which is a G-protein coupled receptor (GPCR), signals through both Gαs and Gαq coupled pathways and ERK phosphorylation to stimulate insulin secretion. The aim of this study was to determine molecular details of the effect of small molecule agonists, compounds 2 and B, on GLP-1R mediated cAMP production, intracellular Ca2+ accumulation, ERK phosphorylation and its internalisation. In human GLP-1R (hGLP-1R) expressing cells, compounds 2 and B induced cAMP production but caused no intracellular Ca2+ accumulation, ERK phosphorylation or hGLP-1R internalisation. GLP-1 antagonists Ex(9–39) and JANT-4 and the orthosteric binding site mutation (V36A) in hGLP-1R failed to inhibit compounds 2 and B induced cAMP production, confirming that their binding site distinct from the GLP-1 binding site on GLP-1R. However, K334A mutation of hGLP-1R, which affects Gαs coupling, inhibited GLP-1 as well as compounds 2 and B induced cAMP production, indicating that GLP-1, compounds 2 and B binding induce similar conformational changes in the GLP-1R for Gαs coupling. Additionally, compound 2 or B binding to the hGLP-1R had significantly reduced GLP-1 induced intracellular Ca2+ accumulation, ERK phosphorylation and hGLP-1R internalisation. This study illustrates pharmacology of differential activation of GLP-1R by GLP-1 and compounds 2 and B.
Inflammation after Ischemic Stroke: The Role of Leukocytes and Glial Cells

The immune response after stroke is known to play a major role in ischemic brain pathobiology. The inflammatory signals released by immune mediators activated by brain injury sets off a complex series of biochemical and molecular events which have been increasingly recognized as a key contributor to neuronal cell death. The primary immune mediators involved are glial cells and infiltrating leukocytes, including neutrophils, monocytes and lymphocyte. After ischemic stroke, activation of glial cells and subsequent release of pro- and anti-inflammatory signals are important for modulating both neuronal cell damage and wound healing. Infiltrated leukocytes release inflammatory mediators into the site of the lesion, thereby exacerbating brain injury. This review describes how the roles of glial cells and circulating leukocytes are a double-edged sword for neuroinflammation by focusing on their detrimental and protective effects in ischemic stroke. Here, we will focus on underlying characterize of glial cells and leukocytes under inflammation after ischemic stroke.
Study of Ontology-Based Intelligent Question Answering Model for Online Learning

Based on analysis of the current situation and the development of the question answering system, this research comprehensively uses the ontology, NLP tools, and semantic web technologies, puts forwards an online learning intelligent answering system model which is based on the ontology theory with the hope that it can realize the semantic query function, increase the intelligence of the answering system and improve the online learning support service level.
Regional Atrophy Analysis of MRI for Early Detection of Alzheimer's Disease

Regional Atrophy analysis of structural magnetic resonance image (MRI) of the brain may provide quantitative evidence of different neurodegenerative diseases. This paper proposes an approach for early detection of Alzheimer disease (AD) by locating the atrophy in the brain. The paper proposes an automated computer aided system to for differential diagnosis of different neurodegenerative diseases by regional atrophy analysis such as the hippocampus that is well known to be affected in early Alzheimer disease (AD). The paper proposes in calculated factors to be used in differential diagnosis of different neurodegenerative diseases. The proposed system with its modules; preprocessing, segmentation, regional analysis, detection and evaluation yielded promising results.
Biased Blogging : Linguistic Evidence of Gender Bias in Political Blogs

Blog posts are becoming an increasingly relevant way of gaining information about political candidates. While blogs may be more candid and impassioned than news articles, they also tend to be more biased. Due to the presence of two female front-runners in the 2016 election, it is relevant and important to probe the linguistic evidence of gender bias in political blogs. We aim to assess whether female candidates are portrayed differently than their male counterparts in political blogs. The hope is that this work will make individuals more cognizant of potential biases in their sources
Verification Framework for Detecting Safety Violations in UML State chart Models of Reactive Systems

The model based development is a widely accepted phenomenon to build dependable software. This has lead to development of tools which can generate deployable code from the model. Hence, ensuring the correctness of such models becomes extremely important. Model checking technique can be applied to detect specification violations in such models at the early stage of development life cycle. In practice, such validations are done using off-the-shelf model checkers. This technique though popular has a drawback that, model should be described in the native language of the model checker. In this paper, we propose a framework for the verification of the dynamic behavior of reactive systems modeled using UML (Unified Modeling Language) statechart diagrams. The model is translated to an intermediate representation by parsing the information embedded behind the UML statecharts, this intermediate representation is used for checking the safety violations. Verification framework proposed is scalable to complex systems. D.2. 4 [Software Engineering]: Software/Program Verification – Model Checking: General Terms: Design, Verification
PPHDF-AI for multitarget tracking with unknown target SNR

The performance of multitarget tracking can be improved by using target amplitude information (AI) for that targets can be identified earlier through the enhanced discrimination between target and false alarm. However, one of the limitations of this application is that the signal-to-noise ratio (SNR) of target is usually unknown in practice. This paper proposes a particle probability hypothesis density filter (PPHDF) with amplitude information (PPHDF-AI) by extending the state vector and measurement vector of particle filter (PF) can be easily. By the extension of dynamic equation and measurement equation, the proposed algorithm can estimate targets SNR as well as their individual states. Simulation results demonstrate that the proposed method is quite suitable for situation that target SNR is unknown, and is superior to traditional methods.
Pretreatment of therapeutic cells with poly(ADP-ribose) polymerase inhibitor enhances their efficacy in an in vitro model of cell-based therapy in myocardial infarct

The potential of cell-based therapies in diseases involving ischemia-reperfusion is greatly hampered by the excessive loss of administered cells in the harsh and oxidative environment where these cells are supposed to act. Therefore, we investigated if inhibition of poly(ADP-ribose) polymerase (PARP) in the therapeutically added cells would lead to their increased viability and, subsequently, to an enhanced effect in an in vitro simulated ischemia-reperfusion (I-R) setting. Ischemic conditions were simulated by oxygen and glucose deprivation for 160 min using H9c2 rat cardiomyoblast cells. After 30 min of reperfusion, these cells received 4 types of treatments: no added cells (I-R model), fluorescently labeled (Vybrant DiD) therapeutic H9c2 cells with vehicle (H9c2) or PARP inhibitor (10 μM or 100 μM PJ34) pretreatment. We assessed viability (live, apoptotic and necrotic) of both ‘postischemic’ and therapeutic cells with flow cytometric analysis using calcein-AM/ethidium homodimer-2 fluorescent staining after 24 h of co-culture. Further measurements on necrosis and metabolic activity were performed using lactate dehydrogenase (LDH) release and resazurin based assays. The percentage of surviving therapeutic cells increased significantly with PARP inhibition (untreated, 52.02±5.01%; 10 μM PJ34, 63.38±4.50%; 100 μM PJ34, 64.99±3.47%). The percentage of necrotic cells decreased in a similar manner (untreated, 37.23±4.40%; 10 μM PJ34, 26.83±3.49%; 100 μM PJ34, 24.96±2.43%). Notably, the survival of the cells that suffered I-R injury was also significantly higher when treated with PARP-inhibited therapeutic cells (I-R model, 36.44±5.05%; H9c2, 42.81±5.11%; 10 μM PJ34, 52.07±5.80%; 100 μM PJ34, 54.95±5.55%), while necrosis was inhibited (I-R model, 43.64±4.00%; H9c2, 37.29±4.55%; 10 μM PJ34, 30.18±4.60%; 100 μM PJ34, 25.52±3.47%). In subsequent experiments, PARP inhibition decreased LDH-release of the observed combined cell population and enhanced the metabolic activity. Thus, our results suggest that pretreating the therapeutically added cells with a PARP inhibitor could be beneficial in the setting of cell-based therapies.
A video haze removal system on heterogeneous cores

In this paper, we propose a video haze removal system that can be used to assist vehicle drivers and autonomous vehicles in hazy weather conditions. Our design objectives are to provide a high-speed system with high perceived resolution that can be integrated in vehicle dashboard. We achieved these objectives by targeting TMS320DM6446 platform, where we propose a distribution of the tasks of the algorithm among the heterogeneous processor cores: ARM, DSP, and VICP. We use the dark channel prior for haze removal applied to video and propose to modify it to operate on lower-scale resolution to save computational time without scarifying quality by a careful signal processing view of the algorithm. We implemented the system and were able to achieve 3 frames per second for full D1 (720 × 480) resolution.
Latent fingerprint orientation estimation via sparse representation

The local ridge orientations are often used to describe fingerprint ridge flow patterns, providing useful information for fingerprint recognition. Although significant advances have been achieved for orientation estimation, it is still challenging to reliably compute the orientations for latent fingerprints, which are usually of poor quality with unclear ridge structure and various overlapping patterns. Motivated by the recent success of sparse representation in image denoising and reconstruction, this paper proposes an orientation estimation algorithm based on dictionary learning and sparse representation for latent fingerprints. The proposed algorithm consists of two main stages which are offline dictionary learning and online orientation estimation. In the offline stage, to capture the prior knowledge of various orientation patterns, a redundant dictionary is learned from the orientation fields of good quality fingerprints. In the online stage, the total variation model is first applied to decompose the latent fingerprint into cartoon and texture components. The cartoon component with most of non-fingerprint patterns is removed as the noise, while the texture component consisting of the weak fingerprint is used for orientation estimation. Second, the initial orientation field is estimated with the traditional method and sparse representation on the redundant dictionary is employed to reconstruct the orientation field of latent fingerprint. Experimental results and comparisons on NIST SD27 latent fingerprint database are presented to show the effectiveness of the proposed algorithm.
Troubles psychiatriques dans la maladie de Parkinson du sujet âgé

Les troubles psychiatriques de la maladie de Parkinson sont frequents et parfois inauguraux. Leur signification est complexe et leur traitement delicat. La depression occupe une place particuliere, devenant aujourd'hui un symptome cardinal de la maladie. Les troubles cognitifs sont frequemment precoces dans cette maladie, mais sous-diagnostiques car leur recherche n'est pas systematique. La maladie s'accompagne aussi de troubles frontaux, de syndrome dysexecutif et de demotivation. La place de la iatrogenese est loin d'etre negligeable.
A service recommendation model for the Ubiquitous Consumer Wireless World

This paper describes the general service recommendation process matched to the telecommunication service delivery characteristics of the Ubiquitous Consumer Wireless World (UCWW). The goal is to provide consumers with the `best' service instances that match their dynamic, contextualized and personalized requirements and expectations, thereby aligning their usage of mobile services to the always best connected and best served (ABC&S) paradigm. A four-tiered architectural configuration of the UCWW service recommendation framework is proposed along with a suitable service recommendation model. Specific and generic smart-city application examples are outlined. Other relevant social impact of the proposed approach is highlighted at the conclusion of the paper.
Association of Specific Immunoglobulin E to Staphylococcal Enterotoxin with Airway Hyperresponsiveness in Asthma Patients

Background Specific immunoglobulin E (IgE) sensitization to staphylococcal enterotoxin (SE) has been recently considered to be related to allergic disease, including asthma. Despite studies on specific IgE (sIgE) to SE and its relationship to asthma diagnosis and severity, the association of sIgE to SE with airway hyperresponsiveness (AHR) remains unclear. Methods We enrolled 81 asthma patients admitted to the Severance Hospital in Korea from March 1, 2013, to February 28, 2015 and retrospectively reviewed the electronic medical records of the enrolled subjects. The serum levels of sIgE to SE (A/B) of all subjects was measured using the ImmunoCAP 250 (Phadia) system with SE-sIgE positive defined as >0.10 kU/mL. Results The SE-sIgE level was not significantly correlated with asthma severity (forced expiratory volume in 1 second [FEV1], FEV1/forced vital capacity, sputum eosinophils, and serum eosinophils), whereas the SE-sIgE level in patients with positive AHR (mean±standard error of the mean, 0.606±0.273 kU/mL) was significantly higher than that in patients with negative AHR (0.062±0.015 kU/mL, p=0.034). In regression analysis, SE sensitization (sIgE to SE ≥0.010 kU/mL) was a significant risk factor for AHR, after adjustment for age, sex, FEV1, and sputum eosinophils (odds ratio, 7.090; 95% confidence interval, 1.180–42.600; p=0.032). Prevalence of SE sensitization was higher in patients with allergic rhinitis and non-atopic asthma patients, as compared to patients without allergic rhinitis and atopic asthma patients, respectively, but without statistical significance. Conclusion SE sensitization is significantly associated with AHR.