Miracle-dz/UniFAR-FTUs huggingface dataset:
A Security-Aware Access Model for Data-Driven EHR System

Digital healthcare systems are very popular lately, as they provide a variety of helpful means to monitor people's health state as well as to protect people against an unexpected health situation. These systems contain a huge amount of personal information in a form of electronic health records that are not allowed to be disclosed to unauthorized users. Hence, health data and information need to be protected against attacks and thefts. In this paper, we propose a secure distributed architecture for healthcare data storage and analysis. It uses a novel security model to rigorously control permissions of accessing sensitive data in the system, as well as to protect the transmitted data between distributed system servers and nodes. The model also satisfies the NIST security requirements. Thorough experimental results show that the model is very promising.
Single spin detection with entangled states

Single spin detection is an interesting subject in the field of quantum metrology. Many experiments regarding single spin measurements have been performed recently. However, to detect weak magnetic fields from a single spin, it is necessary to take an extremely long measurement time toward realizing a reasonably high signal-to-noise ratio. In this paper, we propose an alternative method to accomplish rapid and accurate detection of a single spin with entangled states. While entanglement is a well-known resource to improve the signal-to-noise ratio when we measure globally applied magnetic fields, we examine a strategy to exploit the entanglement to detect spatially inhomogeneous magnetic fields from a target single spin. We find that entanglement significantly enhances the signal-to-noise ratio for single spin detection, even under the effect of realistic noise. Our results will contribute a great deal to the development of practical single spin detection.
Decision-making with multiple correlated binary outcomes in clinical trials

Clinical trials often evaluate multiple outcome variables to form a comprehensive picture of the effects of a new treatment. The resulting multidimensional insight contributes to clinically relevant and efficient decision-making about treatment superiority. Common statistical procedures to make these superiority decisions with multiple outcomes have two important shortcomings, however: (1) Outcome variables are often modeled individually, and consequently fail to consider the relation between outcomes; and (2) superiority is often defined as a relevant difference on a single, on any, or on all outcome(s); and lacks a compensatory mechanism that allows large positive effects on one or multiple outcome(s) to outweigh small negative effects on other outcomes. To address these shortcomings, this paper proposes (1) a Bayesian model for the analysis of correlated binary outcomes based on the multivariate Bernoulli distribution; and (2) a flexible decision criterion with a compensatory mechanism that captures the relative importance of the outcomes. A simulation study demonstrates that efficient and unbiased decisions can be made while Type I error rates are properly controlled. The performance of the framework is illustrated for (1) fixed, group sequential, and adaptive designs; and (2) non-informative and informative prior distributions.
Article original Indexation automatique de documents en santé : évaluation et analyse de sources d'erreurs Automatic indexing of health documents in French: Evaluating and analysing errors

Catalogue and Index of French Medical Sites (CISMeF) is developed for retrieving the relevant medical information in the Internet for health professionals, the patients and students in medicine. The gathered resources are manually indexed, semi-automatically indexed or automatically indexed. Actually, the function indexing of CISMeF indexes only a part of resources that are judged the less important. Objectives. – The objective of this work is to evaluate the indexing function developed for CISMeF, and analyse generated errors. Material and method. – We used 500 clinical guidelines for the evaluation of the indexing function, based since his implementation, on the “bag of words” algorithm. The automatic index generated is compared with the manual one which is considered as the “gold standard”. We analyze the automatic indexing of short titles and subtitles associated, the automatic indexing of long titles and subtitles associated, the automatic indexing of long and short titles and subtitles associated and the automatic indexing of abstracts. The measures used for the evaluation are Precision, Recall and F-measure.
Expansive Learning at Work: Toward an activity theoretical reconceptualization

Cultural-historical activity theory has evolved through three generations of research. The emerging third generation of activity theory takes two interacting activity systems as its minimal unit of analysis, inviting us to focus research efforts on the challenges and possibilities of inter-organizational learning. Activity theory and its concept of expansive learning are examined with the help of four questions: 1. Who are the subjects of learning? 2. Why do they learn? 3. What do they learn? 4. How do they learn? Five central principles of activity theory are presented, namely activity system as unit of analysis, multi-voicedness of activity, historicity of activity, contradictions as driving force of change in activity, and expansive cycles as possible form of transformation in activity. Together the four questions and five principles form a matrix which is used to present a study of expansive learning in a hospital setting in Finland. In conclusion, implications of the framework for our understanding of the increasingly important horizontal dimension of learning are discussed.
Applying Positive Psychology to Alcohol-Misusing Adolescents A Pilot Intervention Dissertation

Adolescent alcohol misuse is associated with many adverse consequences for well-being (Viner & Taylor, 2007). Positive psychology, the science of well-being, has pledged to improve the mental health of adolescents, so what can the field contribute to the treatment of alcohol-misusing young people? This mixed methods study evaluates a pilot application of positive psychology to alcoholmisusing adolescents in the form of a group intervention, examining its effects on adolescent well-being and alcohol habits. The intervention consisted of eight sessions based on positive psychology models including happiness, strengths, optimism and gratitude. The participants were adolescents attending an alcohol and drug treatment service for young people. The experimental group (n = 10) participated in weekly workshops while a control group (n = 10) received no treatment. In the qualitative study semi-structured interviews were conducted on completion of the intervention and the data analysed by thematic analysis. In the quantitative study assessment was carried out using four self-rating scales: The Subjective Happiness Scale (Lyubomirsky & Lepper, 1999), the Life Orientation Test-Revised (Scheier, Carver, & Bridges, 1994), the Positive and Negative Affect Schedule (Watson, Clark, & Tellegen, 1988) and the Short Alcohol Dependence Data (Raistrick, Dunbar, & Davidson, 1983). The results suggested that the intervention led to an increase in adolescent well-being and decrease in alcohol consumption. In the quantitative study the results indicated significant increases in happiness, optimism and positive emotions and a significant decline in alcohol dependence. In the qualitative study the main themes were a rise in
1 USING COLLAPSE RISK TO INFORM SEISMIC SAFETY DECISIONS : CALIFORNIA ’ S EXISTING REINFORCED CONCRETE STRUCTURES

Recent developments in earthquake engineering research have enabled simulation and calculation of structures’ risk of collapse under seismic loading, providing explicit measures of collapse risk which can be used to compare the risks posed by different types of structures. Potential policy applications of these measures are considered in the context of the many non-ductile concrete structures in California which may need retrofitting. Historically, seismic safety legislation has been largely driven by damage in past earthquakes, which have triggered legislative action to mitigate a certain set of structural seismic hazards. Metrics that enable assessment and comparison of collapse risk provide a mechanism for standardization and prioritization in the seismic safety policy process. As an example, the collapse risk of an archetypical older concrete moment frame structure is assessed using the framework of performance-based earthquake engineering.
Distributed Agent-Based Load Balancer for Cloud Computing

In this paper we present a concept of an agent-based strategy to allocate services on a Cloud system without overloading nodes and maintaining the system stability with minimum cost. To provide a base for our research we specify an abstract model of cloud resources utilization, including multiple types of resources as well as considerations for the service migration costs. We also present an early version of simulation environment and a prototype of agent-based load balancer implemented in functional language Scala and Akka framework.
Dietary Chapter 1 Olive Oil : An Angel of Protection Against Cancer

*Corresponding Author: Muhammad Khan, College of Basic Medical Sciences, Dalian Medical University, Dalian, Liaoning 116044, P.R. China, Tel: +86-41186118842; Email: khan_zoologist@ymail.com; khan2014@dlmedu.edu. cn Tonghui Ma, College of Basic Medical Sciences, Dalian Medical University, Dalian, Liaoning 116044, P.R. China, Tel:+86411-86110278; Fax:+86-411-86110378; Email: tonghuima@ dlmedu.edu. cn
Meox 2 haploinsufficiency increases neuronal cell loss in a mouse model of Alzheimer ' s disease

Evidence suggests that multiple genetic and environmental factors conspire together to increase susceptibility to Alzheimer’s disease (AD). The amyloid cascade hypothesis states that deposition of the amyloid-b (Ab) peptide is central to AD; however, evidence in humans and animals suggests that Ab buildup alone is not sufficient to cause neuronal cell loss and cognitive decline. Mousemodels that express high levels of mutant forms of amyloid precursor protein and/or cleaving enzymes deposit amyloid but do not show neuron loss. Therefore, a double-hit hypothesis for AD has been proposed whereby vascular dysfunction precedes and promotes Ab toxicity. In support of this, copy number variations inmesenchyme homeobox 2 (MEOX2), a gene involved in vascular development, are associated with severe forms of AD. However, the role of MEOX2 in AD has not been studied. Here, we tested Meox2 haploinsufficiency in B6.APP/PS1 (B6.APBTg) mice, amousemodel of AD. Despite no overt differences in plaque deposition or glial activation, B6.APBTgmice that carry only one copy ofMeox2 (B6.APBTg.Mx /þ) show increased neuronal cell loss, particularly in regions containing plaques, compared with B6.APB mice. Neuronal cell loss corresponds with a significant decrease in plaque-associated microvessels, further supporting a synergistic effect of vascular compromise and amyloid deposition on neuronal cell dysfunction in AD. 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Deep learning-based concrete crack detection using hybrid images

This paper presents a deep learning-based concrete crack detection technique using hybrid images. The hybrid images combining vision and infrared (IR) thermography images are able to improve crack detectability while minimizing false alarms. Large scale concrete-made infrastructures such as bridge, dam, and etc. can be effectively inspected by spatially scanning the hybrid imaging system including vision camera, IR camera and continuous-wave line laser. However, the decision-making for the crack identification often requires experts’ intervention. As a target concrete structure gets larger, automated decision-making becomes more necessary in the practical point of view. The proposed technique is able to achieve automated crack identification by modifying a well-trained convolutional neural network using a set of crack images as a training image set, while retaining the advantages of hybrid images. The proposed technique is experimentally validated using a lab-scale concrete specimen developed with various-size cracks. The test results reveal that macro- and micro-cracks are automatically detected with minimizing false-alarms.
RESISTIVE SUPERCONDUCTING FAULT CURRENT LIMITERS USING PARTICLE SWARM OPTIMIZATION

Employing Resistive Superconducting Fault Current Limiters (RSFCL) is one of the practical and effective methods to improve the transient stability of a power system by limiting the fault current. Regarding technical and economical constraints, optimal sizing and allocation of RSFCLs in a power system is of significant importance. It is the purpose of this paper to propose an algorithm based on the Particle Swarm Optimization (PSO) in order to improve the transient stability of a power system by optimal sizing and allocation of RSFCLs. The proposed algorithm is next applied to the New England 39-bus test system as a case study and the results are simulated in Matlab. Simulation results reveal that in the case of employing RSFCLs with sizes and locations resulted from the optimization algorithm, the transient stability of the power system under study is improved. Furthermore, it seems that the optimal locations of RSFCLs are to some extent near the fault location.
Response of phosphorus levels to chickpea ( Cicer arietinum L . ) cultivars and soil microbial activity in an Alfisol

A field experiment was carried out during winter seasons of 2012-13 and 2013-14 to study the effect of application of different levels of phosphorus (P) on the yield attributing characters, yield of chickpea (Cicer arietinum L.) and soil microbial diversity in an Alfisol at the Bidhan Chandra Krishi Viswavidyalaya, West Bengal, India. There were 15 treatments in the combination of 3 chickpea cultivars (Anuradha, Pusa1003 and DCP-92-3) and 5 rates of P2O5 (0, 20, 40, 60 and 80 kg P2O5 ha -1) arranged in a split plot design. The cultivar DCP-92-3 showed the highest yield attributing characters and yield. Higher application of P significantly increased the seed yield and total P uptake but P recovery and agronomic efficiency decreased. The optimum and economic levels of P2O5 were 70.59 and 66.54 kg ha-1 respectively. Higher P fertilization increased the total bacterial population and microbial biomass carbon but had no effect on the diversity of ribotypes in the soil samples.
Reading in Spanish as a Second Language: An Eye-Tracking Study.

In the present study, we examine sentence reading in low-proficiency Spanish learners using an eye-tracking methodology. This method reveals the real-time, uninterrupted process of reading comprehension, and can therefore shed light on L2 learners’ functional proficiency. We created sentence pairs that were identical except for one word. The contrasting words in the sentence pairs differed in processing difficulty; in this case, the more difficult word had a lower frequency of occurrence. The effect of frequency on reading typically manifests as longer reading times, particularly when readers first encounter the critical word. The relative difficulty created by a low-frequency word is usually localized to the word itself. Results show a significant difficulty effect for both the learner group and control group. However, they also show that although the effect was localized in the control group, it was not localized in the learners: difficulty “spilled over” into the subsequent region, suggesting that these readers read at too fast a pace, which could lead to extensive re-reading. We believe that this pattern of reading could be remediated and suggest ways for doing so.
OLGIERD HRYNIEWICZ Instytut Bada Systemowych PAN FUNKCJA PRZYNALE NO CI ZBIORU ROZMYTEGO – METODY KONSTRUKCJI

Zbiory rozmyte stały si podstawowym narz dziem modelowania niepewno ci o charakterze ró ni cym si od zwykłej losowo ci. Podstawow charakterystyk , która w jednoznaczny sposób opisuje zbiór rozmyty jest funkcja przynale no ci. W praktycznych zastosowaniach zakłada si , e funkcja przynale no ci podawana jest przez u ytkownika, który konstruuje j na podstawie dost pnych informacji, zarówno subiektywnych jak i obiektywnych. Mog to by subiektywne informacje podane przez pojedynczego eksperta lub wyniki pomiarów (obiektywnych lub subiektywnych). W referacie przedstawiony zostanie krótki opis podstawowych metod konstrukcji i interpretacji funkcji przynale no ci. Zaprezentowana zostanie nowa interpretacja probabilistycznego podej cia do konstrukcji funkcji przynale no ci, wykorzystuj ca posybilistyczn interpretacj zbiorów rozmytych.
Thermodynamics of Portland Cement Clinkering

The useful properties of cement arise from the assemblage of solid phases present within the cement clinker. The phase proportions produced from a given feedstock are often predicted using well-established stoichiometric relations, such as the Bogue equations. These approaches are based on a single estimation of the stable phases produced under standard processing conditions and so they are limited in their general application. This work presents a thermodynamic database and simple equilibrium model which is capable of predicting cement phase stability across the full range of kiln temperatures, including the effect of atmospheric conditions. This is termed a “reaction path” and benchmarks the kinetics of processes occurring in the kiln. Phase stability is calculated using stoichiometric phase data and Gibbs free energy minimization under the constraints of an elemental balance. Predictions of stable phases and standard phase diagrams are reproduced for the manufacture of ordinary Portland cement and validated against results in the literature. The stability of low-temperature phases, which may be important in kiln operation, is explored. Finally, an outlook on future applications of the database in optimizing cement plant operation and development of new cement formulations is provided. Originality This report details corrections to reference thermodynamic data which are relevant for cement thermodynamic calculations. When combined with a suitable thermodynamic model, this data allows the calculation of the stable cement clinker phases across a range of feedstock compositions, operating conditions, and atmospheres. Here we present updated calculations of standard cement processing phase diagrams and data. In comparison to other studies, this work includes greater numbers of components and a more comprehensive database, revealing solid-gas reactions and the early-stage formation of phases such as spurrite (C5S2C’) whose importance may not be fully appreciated. The accuracy of the predictions demonstrates that a stoichiometric approach is useful even at the highest kiln temperatures. The database also includes enthalpic data which can be used as the basis of a process and heat transfer model to optimize and design entire cement production processes.
Environment – Urban Interface within Urban Growth

This work presents the synthesis of a model of urban growth dedicated to accomplish simulations of urban spatial dynamics, based on integrated urban and environmental factors and promoting simultaneity among external and internal growth. The city and surrounding environment are captured and modeled in computational ambient, by application of the centrality / potential model (Krafta, 1994 and 1999), with support of graph theory, cellular automata, GIS and geocomputation. The model assumes the city as a field of opportunities for obtaining income, mediated by the space, which is composed of urban and environmental attributes, that work as attractors or as resistances for the urban growth. The space configuration and the distribution of those attributes generate tensions that differentiate qualitatively and quantitatively the space, through the centrality measure (built with the support of graphs techniques), coming to provoke growth in places with larger potential of development (built with the help of techniques of CA – cellular automata). Growths above environmental thresholds are considered problems, generated and overcome in the same process of production of the urban space. Iterations of that process offer a dynamic behaviour to the model, allowing to observe the growth process along the time. The model presents several possibilities: a) urban natural environment integration; b) internal and external growth integration; c) variety in the scale; d) GIS integration and geocomputation; e) user interface; f) calibration; g) theoretical possibilities; and h) practical
A Novel Automatic Approach For Extraction and Classification of Noun Phrase Collocations

In 2016 it is estimated that 2.4 billion users access the Web and people spend time on net invariably. Search engines are queried for millions of facts, and it retrieves the resultant web pages relevant to the query. The degree of high precision Information retrieval is based on the Query Phrase. A best noun phrase collocation extraction algorithm targets the combined strategic goal of achieving high retrieval efficiency and annotating the web semantically.Two methods discussed in this paper helps in classifying collocations. Initially the web pages are taken as input followed by pre-processing and POS tagging. In the first method, the rule based algorithm tries to identify the n-gram collocates of arbitrary order using the Ontologies, web and dictionaries together. Since this study focus on noun Phrase collocation, filters are applied to the results to fetch only the Noun Phrase Collocates(NPC). The correlation measure between the NPC is measured using the probabilistic association measures techniques such as chi-square test, Log-likelihood test and Point wise Mutual Induction(PMI). In the second method, the phrase is classified as Noun Phrase Collocate and Non-noun Phrase Collocates using optimal threshold value using Naïve Bayes and C4.5 for supervised classification and simple k-means for unsupervised learning.The proposed algorithm is tested with web pages from different corpus and the experimental results prove that the resultant noun phrase collocates has high degree of association between them. The hits during search with highly ranked Noun Phrase collocates is greater than other POS Phrase collocations. The F-score of the proposed algorithm on dataset is 82.3% .
Groupe de Recherche en Économie et Développement International Cahier de recherche / Working Paper 06-04 Impacts Analysis of Cotton Subsidies on Poverty : A CGE Macro- Accounting Approach

In this paper, we construct the first country specific CGE model for Mali with a micro-simulation component to analyze the poverty and inequality changes of removing cotton subsidies in developed countries. We used the macro-accounting approach proposed by Chen and Ravallion (2004). This issue has attracted significant attention as is has contributed to stall the broader trade agenda. Research on the issue has been mainly done with partial equilibrium analysis with a few exceptions. We use the first CGE-micro-simulation model to investigate. A 17 sectors CGE model with almost 5000 households is used to demonstrate that removal of subsidies on cotton will contribute to significant decrease in poverty in Mali. Our results show that combining the cotton subsidies removal to other agricultural subsidies does not attenuate the positive effects observed. We also show that the subsidies removal would marginally contribute to decrease inequality in Mali. Keyword: computable general equilibrium model, micro-simulation, poverty analysis, income distribution, agricultural subsidies. J E L : D 5 8 , D31, I32, Q17 ()Assistant Professor – GREDI, Faculté d’administration, Université de Sherbrooke: dorothee.boccanfuso@usherbrooke.ca. ()Assistant Professor – GREDI, Faculté d’administration, Université de Sherbrooke: luc.savard@usherbrooke.ca.