bluuebunny/crossref_metadata_2025 huggingface dataset:
Le prix du risque dans l’évaluation des politiques et des investissements publics
Authors: Baumstark Luc
Published: July 2019

La question du prix du risque dans l’évaluation des politiques et des investissements publics est abordée ici en partant, d’une part, de la manière dont elle a été discutée dans les travaux menés à France Stratégie pour alimenter les cadres de référence des évaluations socioéconomiques préalables des grands projets d’investissement d’État et, d’autre part, de la manière dont ces outils sont de fait mobilisés dans les évaluations socioéconomiques qui ont été notamment contre-expertisées en France ces dernières années au Secrétariat général pour l’investissement. L’article évoque ensuite les principaux défis qu’il convient de relever pour améliorer la pratique des études sur les grands projets et pour faire en sorte que les évaluations mobilisées traitent de manière satisfaisante les risques et les incertitudes qui entourent les bénéfices et les coûts et qu’elles puissent ainsi être réellement utiles dans le débat public et la prise de décision. Classification JEL : D61, D81, H43.
Prime de risque et prix du risque sur les actions
Authors: Garcia René , Meddahi Nour
Published: July 2019

La prime de risque sur les actions représente le rendement supplémentaire obtenu en investissant en actions par rapport au rendement d’un bon du Trésor de court terme. La littérature financière a depuis une trentaine d’années proposé divers modèles de risque pour justifier l’amplitude de cette prime qui est de l’ordre de 6 % à 8 % annuellement pour la plupart des pays industrialisés pour la période de l’après-guerre. Nous passons en revue les divers modèles et expliquons leur complexification au fil du temps pour expliquer non seulement la prime moyenne, mais aussi sa variabilité, sa prévisibilité à divers horizons et sa structure à terme. Classification JEL : G11, G12, G17.
Les cryto-monnaies sont-elles vraiment décentralisées ? Quelques leçons de l’écosystème bancaire
Authors: Valence Arnaud
Published: July 2019

Cet article examine le degré de décentralisation des crypto-monnaies et fournit des éléments de comparaison avec les monnaies standards. En premier lieu, nous montrons que les crypto-monnaies sont des systèmes hybrides à la fois centralisés et décentralisés. Leur architecture logicielle est décentralisée, leur fonctionnement logique est centralisé, et leurs dimensions institutionnelle et organisationnelle sont partiellement centralisées. En second lieu, nous montrons que la communauté blockchain travaille activement pour rendre les dimensions logique et organisationnelle plus décentralisées. Ce faisant, elles redécouvrent quelques mécanismes fondamentaux de l’écosystème bancaire. Classification JEL : E41, E42, G21, O03.
L’affect dans la vie psychosomatique
Authors: Denis Paul
Published: July 2019

L’auteur, à partir de la discussion des trois textes de Robert Asséo, Catherine Ducarre et Nicole Llopis-Salvan, reprend la question de l’affect de manque, celle de l’identification projective, de vie affective et de perversion affective. Il avance l’idée qu’il n’y aurait pas d’affect inconscient à proprement parler mais un état affectif permanent indifférencié auquel la rencontre avec un fait psychique donnerait la forme d’un affect figuré.
De l’alexithymie à la forclusion des affects
Authors: Brusset Bernard
Published: July 2019

L’alexithymie est une notion neuropsychologique dans l’actualité des données de l’imagerie cérébrale fonctionnelle. Elle recoupe la clinique psychosomatique, ouvrant de nombreuses questions. Parmi celles qui sont envisagées ici : le destin des affects dans ses rapports avec les émotions d’une part, avec les représentations d’autre part ; les effets somatiques de leur exclusion par clivage et forclusion. La théorie de l’alexithymie engage le travail du négatif et les effets de la destructivité, dont le principe d’inertie de la pulsion de mort freudienne. Elle se situe aux deux pôles de la recherche en psychosomatique, de méthodes et d’épistémologies différentes mais nécessaires.
Féminin pluriel : hystérie, masochisme ou mélancolie ?
Authors: Chabert Catherine
Published: July 2019

Le féminin appelle des représentations plurielles entre l’idéal maternel et la sexualité aux prises avec des destins pulsionnels singuliers. Ceux-ci mettent en évidence les liaisons entre identifications et perte, à travers les fantasmes de séduction et les particularités des choix d’objet. Deux études cliniques montrent dans la dynamique du transfert les croisements entre hystérie, masochisme et mélancolie.
Le temps calme
Authors: Smadja Claude
Published: July 2019

L’auteur propose une réflexion sur la temporalité psychique dans la clinique psychosomatique, en particulier chez les patients avec fonctionnement opératoire. La vie opératoire modifie l’expérience du temps vécu et le spécifie comme un temps linéaire, traumatique et perceptif. La nécessité de calmer le cours du temps est lié à la dimension traumatique de l’expérience du temps vécu.
Discussion du texte de Jean-Claude Rolland
Authors: Heenen-Wolff Susann
Published: July 2019

En discutant le texte de Jean-Claude Rolland sur la temporalité de l’inconscient dans le travail de la cure, et en particulier la notion de refusement en référence à l’après– coup dans la théorie de Laplanche, l’auteur interroge le rapport entre refoulement primaire et manque de traduction.
Le corps et les temps passés
Authors: Roussillon René
Published: July 2019

L’auteur propose un parcours du leg freudien concernant le rapport au corps et son histoire. Il interroge la manière dont le corps est partout présent dans la métapsychologie de Freud, qu’il s’agisse du représentant affect, des représentations de choses voire même du rapport au langage verbal. Ensuite, à partir des premières propositions techniques de Freud poursuivies par de nombreuses remarques il montre comment dans ses travaux le corps et ses manifestations sont porteur d’expériences passées non intégrées.
Apprendre un contenu disciplinaire en langue étrangère : enjeux politiques, théoriques et pratiques pour l'internationalisation des formations dans l'enseignement supérieur
Authors: Roussel Stéphanie
Published: July 2019

L'internationalisation des formations revêt plusieurs formes. La mise en place de cours de nombreuses disciplines universitaires en langue étrangère en fait partie. Les raisons politiques (attractivité internationale, professionnalisation) sont claires et consensuelles. Mais la question essentielle reste de savoir si l'enseignement d'une discipline dans une langue étrangère est synonyme à la fois d'un meilleur apprentissage du contenu disciplinaire et de la langue étrangère. Un état de l'art du domaine et une réflexion sur les fondements théoriques de ces pratiques ont mené à la mise en place d'expérimentations contrôlées, qui permettent de mieux comprendre ce qui se joue sur le plan cognitif, lorsque la langue et le contenu disciplinaire doivent être appris simultanément. De ces résultats empiriques découlent certaines pistes d'aménagement didactique pour les cours en langue étrangère. Les enseignants de langues pour spécialistes d'autres disciplines ont alors un rôle important à jouer pour que ces pratiques participent à une internationalisation réussie.
Segmented Dynamic Time Warping
Authors: Ma Ruizhe , Ahmadzadeh Azim , Boubrahimi Soukaina Filali , Angryk Rafal A
Published: July 2019

Initially used in speech recognition, the dynamic time warping algorithm (DTW) has regained popularity with the widespread use of time series data. While demonstrating good performance, this elastic measure has two significant drawbacks: high computational costs and the possibility of pathological warping paths. Due to the balance between performance and the tightness of restrictions, the effects of many improvement techniques are either limited in effect or use accuracy as a trade-off. In this chapter, the authors discuss segmented-DTW (segDTW) and its applications. The intuition behind significant features is first established. Then considering the variability of different datasets, the relationship between specific global feature selection parameters, feature numbers, and performance are demonstrated. Other than the improvement in computational speed and scalability, another advantage of segDTW is that while it can be a stand-alone heuristic, it can also be easily combined with other DTW improvement methods.
A JSON-Based Fast and Expressive Access Control Policy Framework
Authors: Jiang Hao , Bouabdallah Ahmed
Published: July 2019

Along with the rapid development of ICT technologies, new areas like Industry 4.0, IoT, and 5G have emerged and brought out the need for protecting shared resources and services under time-critical and energy-constrained scenarios with real-time policy-based access control. To achieve this, the policy language needs to be very expressive but lightweight and efficient. These challenges are investigated and a set of key requirements for such a policy language is identified. JACPoL is accordingly introduced as a descriptive, scalable, and expressive policy language in JSON. JACPoL by design provides a flexible and fine-grained ABAC style (attribute-based access control) while it can be easily tailored to express other access control models. The design and implementation of JACPoL are illustrated together with its evaluation in comparison with other existing policy languages. The result shows that JACPoL can be as expressive as existing ones but more simple, scalable, and efficient. The performance evaluation shows that JACPoL requires much less processing time and memory space than XACML.
A Disciplined Approach to Temporal Evolution and Versioning Support in JSON Data Stores
Authors: Brahmia Safa , Brahmia Zouhaier , Grandi Fabio , Bouaziz Rafik
Published: July 2019

The JSON Schema language lacks explicit support for defining time-varying schemas of JSON documents. Moreover, existing JSON NoSQL databases (e.g., MongoDB, CouchDB) do not provide any support for managing temporal data. Hence, administrators of JSON NoSQL databases have to use ad hoc techniques in order to specify JSON schema for time-varying instances. In this chapter, the authors propose a disciplined approach, named Temporal JSON Schema (τJSchema), for the temporal management of JSON documents. τJSchema allows creating a temporal JSON schema from (1) a conventional JSON schema, (2) a set of temporal logical characteristics, for specifying which components of a JSON document can vary over time, and (3) a set of temporal physical characteristics, for specifying how the time-varying aspects are represented in the document. By using such characteristics to describe temporal aspects of JSON data, τJSchema guarantees logical and physical data independence and provides a low-impact solution since it requires neither updates to existing JSON documents nor extensions to related JSON technologies.
Voronoi-Based kNN Queries Using K-Means Clustering in MapReduce
Authors: Yan Wei
Published: July 2019

The kNN queries are special type of queries for massive spatial big data. The k-nearest neighbor queries (kNN queries), designed to find k nearest neighbors from a dataset S for every point in another dataset R, are useful tools widely adopted by many applications including knowledge discovery, data mining, and spatial databases. In cloud computing environments, MapReduce programming model is a well-accepted framework for data-intensive application over clusters of computers. This chapter proposes a method of kNN queries based on Voronoi diagram-based partitioning using k-means clusters in MapReduce programming model. Firstly, this chapter proposes a Voronoi diagram-based partitioning approach for massive spatial big data. Then, this chapter presents a k-means clustering approach for the object points based on Voronoi diagram. Furthermore, this chapter proposes a parallel algorithm for processing massive spatial big data using kNN queries based on k-means clusters in MapReduce programming model. Finally, extensive experiments demonstrate the efficiency of the proposed approach.
Efficient Storage and Parallel Query of Massive XML Data in Hadoop
Authors: Yan Wei
Published: July 2019

In order to solve the problem of storage and query for massive XML data, a method of efficient storage and parallel query for a massive volume of XML data with Hadoop is proposed. This method can store massive XML data in Hadoop and the massive XML data is divided into many XML data blocks and loaded on HDFS. The parallel query method of massive XML data is proposed, which uses parallel XPath queries based on multiple predicate selection, and the results of parallel query can satisfy the requirement of query given by the user. In this chapter, the map logic algorithm and the reduce logic algorithm based on parallel XPath queries based using MapReduce programming model are proposed, and the parallel query processing of massive XML data is realized. In addition, the method of MapReduce query optimization based on multiple predicate selection is proposed to reduce the data transfer volume of the system and improve the performance of the system. Finally, the effectiveness of the proposed method is verified by experiment.
Towards Massive RDF Storage in NoSQL Databases
Authors: Ma Zongmin , Yan Li
Published: July 2019

The resource description framework (RDF) is a model for representing information resources on the web. With the widespread acceptance of RDF as the de-facto standard recommended by W3C (World Wide Web Consortium) for the representation and exchange of information on the web, a huge amount of RDF data is being proliferated and becoming available. So, RDF data management is of increasing importance and has attracted attention in the database community as well as the Semantic Web community. Currently, much work has been devoted to propose different solutions to store large-scale RDF data efficiently. In order to manage massive RDF data, NoSQL (not only SQL) databases have been used for scalable RDF data store. This chapter focuses on using various NoSQL databases to store massive RDF data. An up-to-date overview of the current state of the art in RDF data storage in NoSQL databases is provided. The chapter aims at suggestions for future research.
Green Cloud Architecture to E-Learning Solutions
Authors: Kuppusamy Palanivel
Published: July 2019

Electronic learning or e-learning is the use of technology to enable learners to learn from anywhere and anytime. The delivery involves the use of electronic devices in some way to make available learning contents. Today, e-learning has drastically changed the educational environment. The e-learning methodology is a good example of green computing. Green computing refers to the study and practice of using computing resources in an eco-friendly manner. It is the practice of using computing resources in an energy efficient and environmentally friendly manner. In order to reduce costs, education services can be provided using cloud technology. The green cloud computing solutions save energy, reduce operational costs, and reduce carbon footprints on the environment. Hence, the objective is to provide a green cloud architecture to e-learning solutions. This architecture is addressing the issues such as improving resource use and reducing power consumption.
Technological Aspects of Fe-Al-Si Intermetallic Alloy Preparation by Mechanical Alloying
Authors: Haušild Petr , Čech Jaroslav , Kadlecová Veronika , Karlík Miroslav , Průša Filip , Nová Kateřina , Novák Pavel , Kopeček Jaromír
Published: July 2019

In this paper, recently developed ternary FeAl20Si20 (wt.%) alloy with promising high-temperature oxidation and wear resistance was prepared by mechanical alloying in a high-energy ball mill. The possibility to speed-up the mechanical alloying process by replacing aluminium (and partly silicon) elemental powder by the pre-alloyed powder (AlSi30) with relatively fine dispersion of Si in the Al-Si eutectic was examined. The microstructure, phase composition and mechanical properties after various time of mechanical alloying were characterized. The effect of using the pre-alloyed powders on kinetics of mechanical alloying is compared with the results obtained on batches prepared from elemental powders.
Investigation on Effectiveness and Shape Recovery Ratio of Shape Recovery Self-Healing Plastic
Authors: Ueshima Hanna , Nakao Wataru
Published: July 2019

Shape recovery fiber reinforced self-healing plastic which achieves full strength recovery is developed. In this system, microcapsules containing dicyclopentadiene (DCPD) as healing agent are dispersed in epoxy resin matrix. Moreover, thermal shrinkage fibers coated by weak interlayer with Grubbs catalysts are uniaxially oriented. When a crack is introduced to the material, it propagates through the matrix and branches along the interlayer while breaking the microcapsules. Then DCPD flows from microcapsules into the cracks and polymerizes. At the same time, the fibers thermally shrink due to the polymerization heat, and the cracks are completely healed and closed. Furthermore, shape recovery ratio is defined as ratio of "closed crack width" with respect to "initial crack width", and can be rewrote as ratio of loads. Tensile tests were carried out using flat plates with a notch, and they were pulled in the fiber direction. After the crack introduction, the displacement was kept constant. The specimen was heated to about 70°C, and temperature and load change were measured until the stress reduction was done. As a result, the shape recovery ratio was calculated to be 7.89% due to the temperature rose caused by polymerization. Therefore, the full strength recovery can be expected by demonstrating the shape recovery effect of this material.
Mechanical and Transport Properties of High Volume UFA Cement Composites
Authors: He Xing Yang , Huang Jian Xiang , Su Ying , Yang Jin , Zheng Zheng Qi , Zhang Chen , Wang Xiong Jue , Strnadel Bohumír
Published: July 2019

In this study, mechanical activation is used to generate ultra-fine fly ash (UFA) for high volume fly ash（FA）cement composites. The effects of different content and medium particle size of FA on mortar`s electrical resistivity, chloride penetration and mechanical properties are investigated. The results show that the compressive strength and resistance to chloride permeability of specimens with UFA have been enhanced, owing to higher pozzolanic reaction and higher dissolution rate of Si and Al units of UFA to accelerate the generate of reaction products. However, At the early ages, electrical resistivity of specimens increases with the increase of UFA; at later ages, specimens have a higher electrical resistivity with the increase of UFA.
Influence of Passivation on Wettability of AISI 304 Steel and its Corrosion Properties in Solution of Sodium Hypochlorite
Authors: Hlinka Josef , Lasek Stanislav
Published: July 2019

The contribution is aimed at corrosion propertied and wettability of basic graded of stainless steel commonly used in medicine as a standard for construction of instruments and other applications. Samples of AISI 304 (1.4301) steel were chemical passivated by nitric acid and tested for corrosion resistance in environment of sodium hypochlorite (NaClO), which is commonly used for basic disinfection of surfaces or devices in hospital facilities. It was found that chemical passivation of stainless steel surface increases its corrosion resistance and lower corrosion rate. Passivation layer also shows more polarization resistance. The wettability of passivated surface was measured by sessile drop method. Wettability itself determinates effectivity of disinfection process as the surfaces with lower contact angle may be cleaned and disinfected with more efficiency. It was proofed that chemical passivation increases wettability by lowering contact angle of treated surface.
FE Prediction and Extrapolation of Multiaxial Ratcheting for R7T Steel
Authors: Halama Radim , Bartecká Jana , Gál Petr
Published: July 2019

Wear of materials in rail/wheel industry is closely related to the cyclic creep. This contribution presents main results of experimental testing on R7T wheel steel. The cyclic creep is investigated under non-proportional loading conditions simulating a line rolling contact case. McDowell extrapolation was successfully applied to the calculation of twist. Cyclic material model MAKOC and MAKOC with memory surface were used for cyclic creep prediction. The plasticity model is based on AbdelKarim-Ohno kinematic hardening and Calloch isotropic hardening rules. Second material model was extended with Jiang-Sehitoglu memory surface, which is introduced in stress space. Material models were successfully used for predicting accumulation of shear strain.
CHLORIDE REMOVAL FROM LANDFILL LEACHATE BY THE ULTRA-HIGH LIME WITH ALUMINUM PROCESS
Authors: Chen Gang , Grasel Peter , Millington Gary , Hallas John , Ahmad Hafiz , Tawfiq Kamal
Published: July 2019

Besides organic contaminants, nutrients and heavy metals, high concentrations of chloride have also been observed in landfills accepting ash deposition from waste-to-energy applications, which is difficult be removed in wastewater treatment processes. Chloride may percolate and cause surface salt formation and soil alkalinity increase, thereby resulting in loss of soil. In plants, chloride tends to accumulate in the tissues, especially the leaves. Conventional removal techniques are not feasible from the cost perspective. In this research, the ultra-high lime with aluminum process was evaluated for chloride removal from landfill leachate by precipitation as calcium chloroaluminate (Ca4Al2Cl2(OH)12) in the presence of calcium and aluminum at high pH. Chloride removal was found to be a function of both aluminum concentration and pH. Chloride removal increased with the increase of alum addition until 20 mg/L, after which the chloride removal became moderate. With the increase of pH, obviously more chloride was removed. At pH of 10, the removal reached 90%. To save the chemical costs, alum sludge from a drinking water treatment plant was tested for the removal of chloride from the landfill leachate. The results showed that the supernatant of the alum sludge was more efficient than that of alum sludge suspension in chloride removal. The usage of alum sludge can dramatically save the chemical costs.
SAND DUNE CONSERVATION ASSESSMENT IN COASTAL AREA USING ALOS PALSAR DInSAR TECHNIQUE
Authors: Putri Ratih Fitria , Wibirama Sunu , Sukamdi S. , Giarsih Sri Rum
Published: July 2019

Big Earthquake generating tsunami occurred in the southern coastal of Java on 17 July 2006, There was a Tsunami waves occurred in the coastal area of West Java, Central Java, and Yogyakarta. Southern part of Java is characterized by a high potential tsunami hazard. Parangtritis is located on the southern coastal area of Bantul District, Yogyakarta Province (Java Island). This area is considered as high vulnerable area due to tsunami. Sand dune in Parangtritis area have a function such as a barrier to threat tsunami hazard. The problem of this research is some stakeholder did not give aware to sand dune conservation as a barrier of tsunami hazard. To minimize the loss material, it is necessary to have a barrier for minimizing tsunami impact such as sand dune which can be determined by considering tsunami hazard zones. This research is aimed at detecting the changing of sand dune actual condition using remote sensing application on ALOS PALSAR Differential Interferometric Synthetic Aperture Radar technique and simulate the tsunami inundation hazard impact (Scenario direction wave: south west, south east, south and west & elevation scenario wave: 5 m, 10 m, 15 m, 20 m, 25 m and 30 m). The inundation zone due to tsunami would be determined using the predicted water depth scenario. The hypothesis of this study is the scenario tsunami wave with southeast direction and elevation wave 30 meters has large impact and thus need more extensive sand dune conservation area. The final result of this research is tsunami hazard map and sand dune conservation management map.
ASSESSMENT OF WATER PUMPING SYSTEM AND IMPROVEMENT IN HYDRO-ENERGETIC PERFORMANCE
Authors: Rego Augusto da Gama , Pimentel Almeida Santos Aline Christian , Rodrigues Pereira José Almir
Published: July 2019

Within the policy of sanitation services for all and the need to lower electricity consumption, current analysis evaluates the water pumping system and defines actions for the improvement of hydro-energetic performance. Research may be divided into two sections: assessment of the water pumping system (based on hydro-energetic simulation) and an analysis of the impact of inefficiency on electric energy consumption (based on computer simulation). Results revealed that methodology was satisfactory and that the main operational issues could be identified and corrections could be computer-simulated. A potential 16% reduction in consumption and in electricity costs could be obtained.
ATMOSPHERIC DYNAMICS OF AIR POLLUTION DISPERSION AND SUSTAINABLE ENVIRONMENT IN NIGERIA
Authors: Akinyemi Marvel , Emetere Moses
Published: July 2019

The basic properties of chlorine was used to determine the dispersion patterns of the recent Jos explosion. The dynamic aerosols content model was used to affirm the eight kinds of dispersion patterns discussed in this text. The location of the victims showed that the dispersion at Jos was either linear or polynomial dispersion. The dispersions are influenced by atmospheric ventilation, stagnation and recirculation. The last chlorine gas explosion follows the linear or polynomial dispersion because of the current state of aerosol loadings in Jos. The aftermath effect of this kind of dispersion may be more threatening than the initial danger due to the chemical formation of more dangerous compounds. The atmospheric conditions for the formation of toxic compound were investigated using twelve years MERRA satellite observation. The degree of freedom of methane, carbon oxide and ozone was nearly uniform for the past five years. This means the next five years or more may be threatening for life forms within the region. The installation of gas tracers within major locations in Jos was suggested to monitor the formation of dioxins in the atmosphere.
AN ASSESSMENT OF URBAN SPACE EXPANSION AND ITS IMPACT ON AIR QUALITY USING GEOSPATIAL APPROACH
Authors: Dadhich Ankita Pran , Goyal Rohit , Dadhich Pran Nath
Published: July 2019

The development oriented growth and accelerated industrialization had been rapidly worsening the environmental quality of urban centers. Jaipur, capital of Rajasthan India, the 10th largest metropolitan city of India, is also facing the increasing pressure on land due to urbanization and demographic factors. Therefore, in this study an integrated approach of remote sensing and GIS (Geographic Information System) was applied to examine the relationship among spatial variables such as impervious area, land consumption rate and air pollutants concentration within an urban context of Jaipur city. The urban sprawl over the period of five years (2008–2013) is determined by computing the impervious area or built up area using IRS (Indian Remote Sensing) Resourcesat 2 satellite data for Jaipur urban region. Thereafter, Land Consumption Rate (LCR) and Land Absorption Coefficient (LAC) were quantified to evaluate the impervious area growth in different wards of the Jaipur city. The temporal variations in gaseous and particulate pollutants were also investigated to ascertain the degree of association between air pollutants and impervious area. It has been observed that there is 74.89% increase in impervious area during 2008 to 2013.The zonal distribution of impervious area clearly indicates the increase in number of wards under Zone 5 (80-100%) category from 2008 to 2013. The spatial distribution of LCR reveals very high land consumption rate (>0.012) in outskirts of the city ie. Vidhyadhar Nagar, Jhotwara and Jagatpura area. The LAC is zero in wards of Kishanpole area and high (>0.06) for the wards of Civil lines, Jagatpura, and Jhotwara area of the city. The urban air quality pattern (2008-2013) results indicate that PM10 and SPM concentration have the greatest effects on the air environment in comparison to gaseous pollutants (SO2 and NOx). The association between particulate pollution and impervious area indicate strong correlation in zone 2 (R2 = 0.72 for PM10 and R2 = 0.63 for SPM) during 2013; however, correlation between PM10/SPM ratio and LCR shows significant relation during 2011 and 2013.
Physiotherapy in Africa at the brink of the 21 st century
Authors: Amosun Dele
Published: July 2019

No abstract available
The impact of meningitis on the motor function of adult survivors in Harare, Zimbabwe
Authors: Jelsma Jennifer , Lilley Helen , Smith Helen , Mielke Jens , Hakim James , Gangaidzo Innocent , Heyderman Robert
Published: July 2019

Objective: The study aimed to document the spectrum of motor impairments and the degree of functional limitation of those who survived adult meningitis and to identify which factors were associated with a poor functional outcome and mortality.Methods: A prospective study was undertaken in the central hospitals in Harare, Zimbabwe. Twenty six adult patients who had survived meningitis were interviewed between one and five months post-admission. Seventeen of these were examined in the clinic for signs of impairment. Nine did not attend the follow-up session and were interviewed at home. The Barthel Activities of Daily Living Index (BI) was administered to all twenty six subjects.Results: Twenty subjects were HIV sero-positive. Eight subjects died in the time period between the one month interview and the final follow-up five months later. The majority of the seventeen examined in the clinic, demonstrated sensory and motor disturbances. Seven of the twenty six subjects scored eighteen or less on the BI. Forward stepwise logistic regression revealed that a low BI was the only variable which significantly predicted mortality (p.<0.01). The odds of a patient with a low BI dying were 63 times the odds of a patient dying who had a normal BI.Discussion and Conclusions: Survivors of meningitis in this study displayed a diversity of impairments and disabilities. Rehabilitation intervention is recommended to provide functional reeducation and support for those with a low BI and to mitigate against the effects of the impairments. A measure of functional disability should be included in the examination of these clients as functional impairment appears to be a predictor of mortality.
The health behaviour of black hypertensive patients at a chronic diseases clinic in a depressed socio-economic area of Johannesburg, South Africa
Authors: Stewart A. V. , Eales C. J. , Shepard K.
Published: July 2019

A sample of hypertensive patients and the health care practitioners at an urban community health clinic were studied to identify their health status and behaviours. Barriers to compliance with health advice were also investigated. A descriptive qualitative approach was used consisting of semi-structured interviews, observations and the analysis of patients’ records. Themes were generated from the coded data. The data revealed that the patients’ compliance was poor (66% attendance at the clinic), the mean blood pressure level was 157/99 and they were often symptomatic. Patients’ understanding of hypertension was fragmented and they did not see it as a silent, chronic disease. They were beset by financial and family worries and stresses. The staff found that it was increasingly difficult to educate the patients as the numbers of patients at the clinic were increasing.
Are therapists aware of the needs of people with disabilities?
Authors: Petrick M. , Homer S. , Evans R.
Published: July 2019

This article challenges therapists to find out what the needs of people with disability are before planning community based rehabilitation services. It also establishes that therapists and people with disabilities have different ideas about the needs of people with disability.
Feature Learning with Multi-objective Evolutionary Computation in the generation of Acoustic Features
Authors: Menezes José Antonio Alves , Cabral Giordano , Gomes Bruno , Pereira Paulo
Published: July 2019

To choice audio features has been a very interesting theme for audio classification experts. They have seen that this process is probably the most important effort to solve the classification problem. In this sense, there are techniques of Feature Learning for generate new features more suitable for classification model than conventional features. However, these techniques generally do not depend on knowledge domain and they can apply in various types of raw data. However, less agnostic approaches learn a type of knowledge restricted to the area studded. The audio data requires a specific knowledge type. There are many techniques that seek to improve the performance of the new generation of acoustic features, among which stands the technique that use evolutionary algorithms to explore analytical space of function. However, the efforts made leave opportunities for improvement. The purpose of this work is to propose and evaluate a multi-objective alternative to the exploitation of analytical audio features. In addition, experiments were arranged to be validated the method, with the help a computational prototype that implemented the proposed solution. After it was found the effectiveness of the model and ensuring that there is still opportunity for improvement in the chosen segment.
Green Function and Self-adjoint Laplacians on Polyhedral Surfaces
Authors: Kokotov Alexey , Lagota Kelvin
Published: July 2019

Using Roelcke’s formula for the Green function, we explicitly construct a basis in the kernel of the adjoint Laplacian on a compact polyhedral surface$X$and compute the$S$-matrix of$X$at the zero value of the spectral parameter. We apply these results to study various self-adjoint extensions of a symmetric Laplacian on a compact polyhedral surface of genus two with a single conical point. It turns out that the behaviour of the$S$-matrix at the zero value of the spectral parameter is sensitive to the geometry of the polyhedron.
Strongyloides stercoralis Infection at Different Altitudes of the Cusco Region in Peru
Authors: Morales Maria Luisa , Lopez Martha , Ly Priscilla , Anjum Seher , Fernandez-Baca Martha Vanessa , Valdivia-Rodriguez Angela Maria , Mamani-Licona Frecia Maribel , Baca-Turpo Benicia , Farfan-Gonzales Nedhy , Chaman-Illanes Yeshica , Cabada Miguel Mauricio
Published: July 2019

Strongyloides stercoralis affects 30–100 million people worldwide. The burden is underestimated because of the paucity of studies, limited geographical areas surveyed, and poor quality of diagnostic tests. This study aimed at determining the epidemiology of strongyloidiasis using sensitive microscopy testing in rural populations living at different altitudes in Cusco, Peru. Data were collected from subjects aged > 3 years living in Quellouno (elevation 2,600 ft) and Limatambo (elevation 8,379 ft) districts. Subjects provided one fresh stool sample and answer a standardized questionnaire. Fresh stool was tested on site using the Baermann’s test and agar plate culture. Formalin-preserved stool was tested by rapid sedimentation. Eighty percent (585/715) of eligible subjects consented to participate; after excluding subjects with missing data, 65% (462/715) were included. Fifty-five percentage were female; the median age was 33 years (interquartile range 13–52), and 72% had government health insurance. Half had intestinal parasites, and Strongyloides was the most common (24.5%) followed by Giardia (15.5%), Blastocystis (14.9%), and hookworm (11.5%). The agar plate culture detected more cases of Strongyloides than Baermann’s or sedimentation tests. Strongyloides infection was more common at low altitude (26.4%) than at high altitude (18.6%), but the difference was not statistically significant (P = 0.08). Older age, walking barefoot, bathing in rivers/streams, and using municipal sewage were associated with strongyloidiasis. Strongyloides was the most prevalent parasite in the areas studied and was associated with demographic, socioeconomic, and sanitary factors.
In Search of Congenital Chagas Disease in the Sierra Nevada de Santa Marta, Colombia
Authors: Parra-Henao Gabriel , Oliveros Horacio , Hotez Peter J. , Motoa Gabriel , Franco-Paredes Carlos , Henao-Martínez Andrés F.
Published: July 2019

Chagas disease remains a major impediment to sustainable socioeconomic development in Latin America. Transplacental transmission explains the persistence of transmission in urban areas, in non-endemic regions, and in areas with an established interrupted vectorial transmission. One of every five cases of congenital Chagas disease in the world occurs in Colombia and Venezuela. The massive migration of impoverished populations from neighboring Venezuela has worsened the situation creating a humanitarian crisis in Northeastern Colombia, including the Sierra Nevada de Santa Marta. The prevalence of Chagas infection among pregnant women in these areas is higher than the national average, and the public health resources are insufficient. This perspective discusses the associated increased morbidity and mortality of congenital Chagas in this region, where stigmatization contributes to the impression among health authorities and the general population that it affects indigenous communities only. The monitoring and control of congenital Chagas disease in the Sierra Nevada of Santa Marta is a public health necessity that demands urgent and effective interventions.
Air Density Induced Error on Wind Energy Estimation
Authors: Dupré Aurore , Drobinski Philippe , Badosa Jordi , Briard Christian , Plougonven Riwal
Published: July 2019

Abstract. In recent years, environmental concerns have encouraged the use of wind power as a renewable energy resource. However, high penetration of the wind power in the electricity system is a challenge due to the uncertainty of wind energy forecast. Estimation of the wind energy production requires a forecast for the wind (the main source of uncertainty) but also of density, often overlooked. Measure of air density is a key for more accurate wind energy prediction. Wind farms often lack instrumentations of temperature and pressure, needed for accurate air density estimation at hub height to be used for locally debiasing air density forecast. In this study, the error budget of air density estimate is computed distinguishing temperature and pressure contributions. The analysis uses measurements for in-depth local analysis as well as meteorological reanalysis to investigate the added-value of a model-based value when measurement is missing. Meteorological reanalysis is also used to study spatial pattern of error budgets (mountainous area, coastal regions, plains, ...). The effect of altitude is carefully accounted for. Temperature is by far the variable inducing the largest errors when it is missing in the air density correction, and replaced by the standard atmosphere value (i.e. 15 °C, used as reference in power curves). It is particularly true for very cold or warm conditions (i.e. far from the standard value), for which the error on wind energy production is nearly halved when an accurate correction of temperature is performed.
A Field Research to Identify Psychological Factors Influencing the Debt Repayment Behavior in Turkey
Authors: Özşahin Mehtap , Yürür Senay , Coşkun Erman
Published: July 2019

This research aims to exploratively search relevant psychological determinants for debt repayment behavior. In this regard, the research question is: Which psychological factors affect the debt repayment behavior? Some research in literature argue that the socio-economic factors alone may not be sufficient to explain debt and repayment behavior, and some other factors should be also utilized. This study will focus on psychological factors consisting of personality and attitudes. To the our best knowledge, in Turkey there is very limited amount of research conducted in this area and as one of the highest individual credit using countries it is essential to use psychological factors in credit risk evaluation processes. Thus, this research, examines effects of personality characteristics and attitude on debt repayment behavior in the context of Turkish culture, and is expected to fill a gap and to contribute to both national and international literatures. The study utilizes qualitative research methodology to explore psychological determinants and their effects on debt repayment behavior. In depth interview research methodology has been used to explore the personality characteristics and attitude influencing debt repayment behavior.  The research findings revealed that, the responsibility, long term orientation, sanction fear, sense of collectivism, rational decision making and risk aversion are main characteristics of regular payers, while external locus of control, irresponsibility, short term orientation,  irrational decision making, emotional imbalance are common characteristics of irregular payers. So, according to findings, , conscientious, time orientation, sanction fear, sense of collectivism, locus of control and decision making style can be enlisted as primary personal and attitudinal factors explaining the repayment behavior.
Troublemakers: Lessons in Freedom from Young Children in School Carla Shalaby (The New Press, 2017)
Authors: Kelley Kendra
Published: July 2019

Reviewed by Kendra Kelley
El arte de diseñarse a sí mismo en la obra de Sebastián Errázuriz
Authors: Barriga-Jungjohann María
Published: July 2019

El artículo aborda el imperativo estético del diseño de sí en la obra del diseñador-artista chileno Sebastián Errázuriz. Para ello indaga en las relaciones que surgen entre arte, diseño, tecnología y mercado al momento de potenciar los deseos, en lo que Gernot Böhme denomina “Capitalismo Estético”. Este modelo económico, actualmente imperante en países desarrollados, se distingue por explotar los deseos inagotables de los individuos, volviendo económicamente relevantes el deseo de ser visto y escuchado, el deseo de fama, el deseo de equipar la propia existencia y el deseo de movilidad. En este escenario, el artículo recorre el origen común del diseño, el arte y la tecnología como ilusiones que engañan al ser humano (Flusser) y le otorgan competencias que éste no posee (Sloterdijk). Muestra cómo se ha transitado de valorar el trabajo y la materia como herramientas para satisfacer necesidades básicas (Smith, Marx), a utilizarlos como medios secundarios para la puesta en escena de la propia existencia (Baudrillard, Böhme). Finalmente se pregunta por la posibilidad de construir una poética del diseño en torno a un bien común, situado por sobre los deseos individuales de nuestras sociedades.
La rebelión de las máquinas. Arte, singularidad tecnológica y ciencia ficción
Authors: García-Sedano Marcelino
Published: July 2019

Este artículo plantea una reflexión a través del arte de componente tecnocientífico y neomedial sobre la noción de singularidad tecnológica y sus trascendentales consecuencias para la humanidad. Revisando ciertos argumentos presentes en la ciencia ficción que sirven de inspiración para algunos artistas contemporáneos, conceptos como inteligencia artificial y la propia singularidad destacan y permiten discutir asuntos que recuperan las principales ideas presentes en las teorías posthumanistas, en los recientes avances en la biotecnología o las dimensiones políticas, espirituales y éticas de las diversas modificaciones que la tecnología puede obrar en la condición ontológica del ser humano.

Analizando diversas obras artísticas, se muestra la capacidad de proyección de nuevos escenarios de debate que la combinación consciente entre arte y ciencia ficción posee. Este hecho refleja las preocupaciones y anhelos que la actual sociedad manifiesta en su relación vital con las tecnologías digitales.
Del placer de la lectura al deseo de leer. El aprendizaje del buen lector
Authors: Ruiz-Bejarano Aurora María
Published: July 2019

Este artículo analiza la producción de la figura del buen lector, su proyección y su sentido atribuido en un centro de Educación Infantil y Primaria de la ciudad de Sevilla. El estudio que recoge este artículo es una investigación etnográfica con estudio de caso realizada durante trece meses. Adoptando el enfoque de los Nuevos Estudios de Literacidad, el objetivo de la investigación era analizar las formas singulares de comprender y practicar la lectura en una escuela concreta a través del análisis de sus prácticas letradas fuera del espacio de las aulas, de sus simbolizaciones y de sus discursos sobre el hecho lector. En el estudio de caso se realizaron quince entrevistas semiestructuradas, se examinaron los documentos internos del centro y se llevaron a cabo observaciones fuera del aula, en los espacios escolares vinculados a la lectura.  Las conclusiones de la investigación señalan, en primer lugar, que el buen lector es una figura conformada por un conjunto variado de dimensiones: el placer de la lectura, la lectura autorregulada, los hábitos lectores y el deseo de leer. Asimismo, y en segundo lugar, las conclusiones apuntan que el aprendizaje del buen lector implica un proceso que conduce al alumno y a la alumna desde la heteronomía hasta la autonomía lectora y que se construye a través de prácticas letradas y saberes escolares organizados con el propósito de afianzar las dimensiones referidas anteriormente.
Red blood cell allo- and autoimmunization and microbes: Two sides of the same coin
Authors: A. Gonzalez Carlos , Gonzalez Silvana
Published: July 2019

No Abstract
Predicting Short-term Market Returns and Volatility Using Index of Consumer Sentiment
Authors: Yelamanchili Rama Krishna
Published: July 2019

This study examines the short-term predictive ability of Index of Consumer Sentiment (ICS) about Indian stock market returns. Monthly values of ICS, six broad market indices, and nine sectorial indices are collected. The paper finds significant contemporaneous co-movement between S&PBSE500 and other indices. There is no contemporaneous co-movement between ICS and 15 indices. With one lag, ICS Granger cause two sectorial indices and four broad market indices. The one period ahead predictive regression model finds that sentiment has some predictive power of small cap, mid cap and BSE500 index returns. The effect is negative and statistically significant. The predictive regression result indicates that following month of high consumer sentiment, small cap, midcap, and BSE500 index returns decline and vice-versa. However, there is no association between ICS and large cap index and sentiment has no predictive ability of large cap index. The result of variance model indicate that ARCH term and GARCH term are insignificant indicating that the market has no long memory and new shocks will not persist to many future periods. The paper finds no volatility clustering and volatility persistence except in case of small cap index. This paper finds presence of noise trade and investors over-reaction in small cap stocks. EGARCH result supports for the presence of leverage effect, and confirms negative impact of consumer sentiment on small cap stocks.