bluuebunny/crossref_metadata_2025 huggingface dataset:
Singularisation, différenciation : pratiques de la (non)mixité dans l’intervention sociale auprès des personnes sans abri
Authors: Marcillat Audrey , Maurin Marine
Published: November 2018

Cet article porte sur les modes d’intervention genrés au sein de dispositifs d’aide sociale destinés aux femmes et aux hommes sans abri. Il est le fruit d’une collaboration entre deux chercheuses travaillant sur le sans-abrisme en France et au Québec dans une perspective de genre. Dans cette contribution, elles s’intéressent tout d’abord aux aménagements de la (non)mixité au sein de lieux d’accueil et d’hébergement. Cela les conduit, dans un second temps, à analyser les enjeux qui traversent les pratiques professionnelles autour de la (non)mixité, en les faisant dialoguer avec des approches féministes de l’intervention sociale.
La juridicisation du lobbying en France
Authors: Courty Guillaume , Milet Marc
Published: November 2018

L’article entend démentir le rôle central conféré à l’Union européenne dans l’adoption progressive des règles juridiques d’encadrement du lobbying en France. À l’encontre d’une approche en termes d’européanisation soft non contraignante, la mise à jour (2008-2016) du processus de juridicisation montre un rapport ambivalent à l’Europe marqué par un référencement modulable et par un désengagement progressif des acteurs européens initialement investis. Dans un premier temps est présenté dans quelle mesure, même si l’Europe n’est pas absente des débats, la quête de régulation est avant tout marquée par l’enjeu de la qualification du lobbying en France et par des luttes de prestige entre institutions. La présentation du dispositif hybride finalement établi dans la loi permet ensuite de préciser dans quelle mesure l’appropriation des exigences internationales et de certains dispositifs nord-américains fut cruciale alors même que le dispositif français s’est lui-même vu proposer comme nouvel étalon pour l’Europe.
Le Médiateur européen héraut de la transparence
Authors: Michel Hélène
Published: November 2018

Le Médiateur européen, institution créée en 1992 pour garantir aux citoyens un droit à une bonne administration, est aujourd’hui connu pour ses actions en faveur de la transparence au sein de l’Union européenne. Pourtant, cette association entre Médiateur et transparence ne va pas de soi, surtout si la transparence est réduite à la publicité. À la différence des histoires institutionnelles et des témoignages des Médiateurs, cet article adopte une démarche de sociologie politique des institutions pour expliquer comment des mobilisations politiques et administratives ont rendu possible cette identification entre un rôle institutionnel et une norme de « bon » gouvernement.
Les dispositifs de transparence entre instruments de gouvernement et « machines à scandales »
Authors: Robert Cécile
Published: November 2018

Depuis une quinzaine d’années, la politique européenne de transparence s’est principalement traduite par la provision de données concernant les processus décisionnels européens et les acteurs qui y contribuent. Présentés comme un moyen de rétablir la confiance des citoyens dans l’UE, ils sont aussi investis par les ONG pro-transparence comme une façon d’attirer l’attention sur les dysfonctionnements de l’UE. Soulignant l’ambivalence de la transparence comme mot d’ordre, l’analyse des dispositifs socio-techniques de fabrique et publicisation de ces données (et les négociations dont ils sont l’enjeu) permet également d’explorer différentes facettes du gouvernement par la transparence. Dans cette perspective, l’article observe d’abord comment ces dispositifs et données façonnent les représentations des phénomènes – « la société civile organisée » et sa place dans le policy-making européen – dont elles sont censées rendre compte. Il montre ensuite comment ils ont été le vecteur de l’enrôlement des acteurs cibles de cette politique et en particulier des plus critiques. Il revient enfin sur les usages des données qu’ils rendent – ou non – possibles, tant comme instrument de plaidoyer que comme ressource professionnelle pour les lobbyistes.
Processus d’innovation et propriété industrielle : intégration des brevets dans les bureaux d’études d’une entreprise industrielle
Authors: Mbongui Kialo Sylvain
Published: November 2018

L’approche que nous présentons dans cet article vise à comprendre comment le brevet peut être utilisé comme input dans le processus d’innovation ouverte. À notre connaissance, l’utilisation du brevet comme input dans le processus d’innovation n’a pas fait l’objet d’études approfondies, ou tout au moins n’a pas été suffisamment relatée dans les publications académiques. S’appuyant sur une étude qualitative basée sur une étude de cas, la présente étude montre que cette utilisation inversée des brevets fournit des informations et des connaissances intéressantes pour le processus d’innovation ouverte dans la finalité de favoriser l’innovation au sein des bureaux d’études. En outre, l’analyse de l’étude de cas et sa confrontation avec le cadre conceptuel montrent que le brevet est considéré comme un instrument à multiples facettes au service des praticiens.
Gains économiques de l’inspection du travail
Authors: Tchouassi Gérard
Published: November 2018

L’objectif de cet article est d’analyser les gains économiques issus de l’inspection du travail à partir de l’analyse des coûts et de la qualité. A travers l’analyse théorique des bénéfices et l’analyse des coûts liés à l’inspection du travail nous nous interrogeons sur la qualité de l’inspection du travail dans les pays membres du Centre Régional d’Administration du Travail (CRADAT). Les inspecteurs de travail seraient des troupes d’élite dans la bataille pour le travail décent si l’on prévient les risques par la gestion de la culture d’entreprise. La plupart des pays ne respectent pas le critère de nombre de travailleurs par inspecteur de travail à cause des coûts élevés engagés. L’inspection du travail demeure un des outils indispensables à une gouvernance globale de qualité en entreprise. Les gains que l’on peut tirer de l’inspection du travail dans un contexte entrepreneurial en mutation devraient mettre l’accent sur la maîtrise des coûts, des crédits et de la qualité.
Le management des filiales bancaires étrangères en Afrique à l’épreuve de la culture locale : l’action des directeurs adjoints autochtones
Authors: Tioumagneng André
Published: November 2018

Si de nombreux travaux s’intéressent au besoin de glocalisation des filiales étrangères des firmes transnationales, peu abordent jusqu’à présent le rôle que jouent les directeurs adjoints autochtones du pays d’accueil de telles filiales quand elles gèrent cette exigence. Notre recherche se propose de contribuer à la connaissance de l’organisation des filiales bancaires créées en Afrique par des multinationales occidentales face à la culture locale. Les données sont mobilisées sur quatre banques au Cameroun. Elles résultent d’un processus de multiangulation marqué par la consultation des sites internet et des entretiens réalisés avec des employés des filiales étudiées. Les résultats de l’analyse suggèrent que les directeurs adjoints locaux, en tant que collaborateurs des directeurs généraux qui sont des expatriés limités en termes de connaissances contextuelles, ont un pouvoir d’influence leur permettant d’infuser les filiales concernées de la mentalité africaine en termes de management.
Bear Paw Sign: Xanthogranulomatous Pyelonephritis
Authors: Garrido Abad Pablo , Rodrí­guez-Cabello Miguel Angel , Vera-Berón Roberto , Platas-Sancho Arturo
Published: November 2018

Xanthogranulomatous pyelonephritis is a rare form of chronic pyelonephritis in which the involved areas of the kidneys are destroyed and replaced by foam cells. It usually occurs in immunocompromised middle-aged females with ureteral obstruction or chronic urinary tract infection induced by the formation of renal stones. We herein report the case of a 44-year-old woman, with a history of left kidney staghorn calculi and recurrent urinary tract infections. Abdominal computed tomography showed the 'bear paw' sign, typical appearance of XGP and patient underwent a nephrectomy with uneventful post-operative course.
Anemias raras y fallos medulares hereditarios
Authors: Vives Corrons Joan Lluis , Mañú Pereira Maria del Mar , Trujillo Juan Pablo , Surrallés Jordi , Sevilla Julián
Published: November 2018

Las anemias raras y los fallos medulares hereditarios son enfermedades hematológicas caracterizadas, respectivamente, por una disminución de la concentración de hemoglobina o por diversos grados de defectos en la producción de células hematopoyéticas que conducen desde una citopenia de un solo linaje hasta una de múltiples linajes. Son enfermedades raras y difíciles de diagnosticar debido a la heterogeneidad clínica, citológica y genética. En este artículo abordaremos en primer lugar el diagnóstico de las anemias raras y sus causas principales: fallos medulares, defectos del hematíe y trastornos del metabolismo de los factores de maduración eritrocitario. Seguidamente introduciremos los fallos medulares hereditarios y su patología asociada, como son las malformaciones congénitas y la predisposición tumoral, haciendo especial hincapié en los más frecuentes: la anemia de Fanconi, la disqueratosis congénitca, la anemia de Diamond-Blackfan y el síndrome de Shwachman-Diamond.
Cuando el cáncer es una enfermedad rara
Authors: Urioste Miguel , Benítez Javier
Published: November 2018

Heredar una alteración en un gen de susceptibilidad al cáncer supone vivir con una probabilidad alta de desarrollar la enfermedad, con frecuencia más de una vez, y por lo general a una edad temprana. Y también convivir con otros familiares, padres, hijos, o hermanos, que pasan por idénticas circunstancias. Existen 200 entidades clínicas diferentes en las que se hereda la susceptibilidad al cáncer y todas ellas tienen un enorme impacto personal y familiar. Aunque en su mayoría son poco frecuentes, en su conjunto representan una parte sustancial, en torno al 5%, del conjunto de cánceres, por lo que también su impacto poblacional resulta importante. La identificación de estas personas o familias y su derivación a unidades especializadas para que reciban un adecuado asesoramiento genético y posterior seguimiento clínico contribuye a aliviar a las familias, a la vez que evita costes sanitarios innecesarios restringiendo las medidas de seguimiento solo a aquellos que las necesitan. En este proceso el conocimiento de los genes responsables y el estudio genético de las familias en riesgo es un paso de importancia crucial. Las nuevas técnicas de secuenciación masiva del exoma han facilitado la búsqueda de nuevos genes responsables del cáncer familiar y de síndromes de susceptibilidad al cáncer que a corto plazo proporcionarán un espectro más correcto y completo de los mismos y a medio plazo permitirán una aplicación masiva en la práctica clínica.
Biomarcadores y medicina personalizada en las enfermedades raras
Authors: Palau Francesc
Published: November 2018

Las enfermedades raras, más allá de su baja prevalencia, presentan diferencias con las enfermedades comunes. Los biomarcadores se caracterizan por ser herramientas útiles para determinar y evaluar de un modo objetivo procesos biológicos normales, procesos patológicos o la respuesta farmacológica a las intervenciones terapéuticas o a cualquier otra intervención en la atención sanitaria. Como determinantes biológicos de la enfermedad humana y del modo de enfermar individual, los biomarcadores son de especial interés para el estudio de las enfermedades y el seguimiento de las respuestas terapéuticas de los nuevos medicamentos. En el ámbito de las enfermedades raras, los biomarcadores genéticos y genómicos permiten realizar el diagnóstico de la mutación primaria y determinar el perfil genómico pero, al igual que ocurre con las enfermedades comunes complejas, los biomarcadores bioquímicos y los perfiles ómicos dinámicos y funcionales son fundamentales para el diseño de la medicina personalizada en los pacientes con enfermedades poco frecuentes.
Investigación multidisciplinar y traslacional en enfermedades raras
Authors: Rodríguez de Córdoba Santiago , Bernabéu Carmelo
Published: November 2018

Dentro de las enfermedades raras, las enfermedades hereditarias constituyen un grupo mayoritario que incluye las ocasionadas por mutaciones en un solo gen (monogénicas) o aquellas ocasionadas por más de un gen (poligénicas). Descubrir que un determinado gen se asocia con el desarrollo de una patología se ha convertido en un paradigma de la investigación biomédica actual que tiene enormes repercusiones en la práctica clínica. Así, el diagnóstico molecular, basado en la búsqueda de mutaciones en los genes asociados a una patología, no solo se ha convertido en un refuerzo imprescindible del diagnóstico clínico, sino que frecuentemente aporta criterios a ese diagnóstico que permiten un manejo personalizado de los pacientes. Sin embargo, nos hemos familiarizado tanto con términos como genes, genoma humano o secuenciación de ADN que frecuentemente olvidamos que la identificación de un gen como responsable de una enfermedad es a menudo solo el punto de partida de un largo proceso cuyos objetivos fundamentales son establecer los mecanismos moleculares que determinan la patología y el desarrollo de estrategias que la eviten o la remedien. En este artículo revisaremos los avances recientes en dos patologías raras, una poligénica, el síndrome hemolítico urémico atípico, y otra monogénica, la telangiectasia hemorrágica hereditaria, para ilustrar el modelo de investigación multidisciplinar que caracteriza a la investigación biomédica actual y cómo el conocimiento generado en esta área se ha trasladado a la práctica clínica.
Drafting Enterprise Models
Authors: Florez Hector , Sanchez Mario , Villalobos Jorge
Published: November 2018

Enterprise models are created to analyze, document, and communicate the state of an enterprise under multiple perspectives. In addition to being large and complex, the construction of these models presents several difficulties: firstly, they require information provided by sources that might be inaccurate, incomplete, or even obsolete; secondly, although they should be structured, it is not possible to completely define their metamodel a priori. To support this construction process, the usage of enterprise model drafts is proposed, which should have the capacity to conform to changing metamodels and should also support incomplete or imperfect information. Unfortunately, current frameworks and tools have limitations for supporting these two features. Therefore, a set of strategies for the construction of modeling environments that make it possible to properly handle drafts is also proposed. These strategies include the support of metamodel flexibility during the modeling process and an approach to model imperfect information.
Assessing Animal Emotion and Behavior Using Mobile Sensors and Affective Computing
Authors: Yates Heath , Chamberlain Brent , Baldwin William , Hsu William H. , Vanlandingham Dana
Published: November 2018

Affective computing is a very active and young field. It is driven by several promising areas that could benefit from affective intelligence such as virtual reality, smart surveillance, perceptual interfaces, and health. This chapter suggests new design for the detection of animal affect and emotion under an affective computing framework via mobile sensors and machine learning. The authors review existing literature and suggest new use cases by conceptual reevaluation of existing work done in affective computing and animal sensors.
Methodological Pluralism and Graduate Student Research in Education
Authors: Davis Brent
Published: November 2018

This chapter surveys the range of research attitudes and methodological positions that are represented in contemporary educational research. Oriented by integral methodological pluralism, the discussion includes an analysis of the diverse ways that research foci are conceived, the sorts of conceptual and methodological distinctions that are necessary to deal with different research attitudes, associations to broader categories of scientific study, types of intention manifest in educational research, and varied criteria for claims to truth. The chapter concludes with considerations of the nature and place of methodological pluralism in graduate-level research, specifically, and educational research, more generally.
Integral Meta-Impact
Authors: Divecha Simon
Published: November 2018

Integral theory presents as a theory of everything. As such, how do we validate its use while applying it as a methodology and investigating its blind spots? Meta-theory methodology can authenticate integral theory and provides a check on its comprehensiveness. The methodology draws on relevant mid-range theories and integral theory (a meta-theory itself) to refine and justify a study's methods while simultaneously applying theory to specific research. This rigor creates clarity and insight. Complex issues—for example, the concept of sustainability that illustrates this chapter—are characterized by many different (mid to meta, conceptual to applied) theoretical approaches. Meta-theory methodology assists to sift these, highlight critical points, and realize integral theory's promise.
An Integral Analysis of International Mindedness
Authors: Beek Avis Eileen
Published: November 2018

The purpose of this chapter is to report on a study that examined contextual interpretations of international mindedness by International Baccalaureate (IB) Diploma Programme students in different school contexts in the Czech Republic. The conceptual framework was based on Wilber's integral theory and integral methodological pluralism, a novel application in the study of international mindedness. Using an empirical methodology, international mindedness was shown to be widely applicable, developmental, and experiential in nature. Through a hermeneutic phenomenological methodology, findings revealed the experience of international mindedness was characterized by the development of an intercultural identity, the ability to take alternate perspectives, and the capacity to resolve disconnection from important people in their lives. Contextual factors of privilege and exposure to diversity also influenced students' experience of international mindedness. Implications for improving education for international mindedness at the level of the school and the IB organization are discussed.
Using Mobile Devices by Media Students as a Tool for Digital Storytelling
Authors: Ayish Mohammad , Dahdal Sohail
Published: November 2018

The introduction of mobile devices has brought about dramatic transitions not only in how ordinary individuals communicate with one another, but also in how media students learn to tell highly compelling digital stories. In higher education, mobile devices are increasingly proving to be quite powerful tools aiding media students in learning storytelling techniques across media platforms. This chapter draws on a pilot project involving a survey of mass communication students at the American University of Sharjah, United Arab Emirates, in which iPads and smart phones were used to generate video stories as course assignments. A survey of students involved in the project reveals they were highly passionate about doing their video storytelling assignment on iPads and smart phones as compared with traditional audio-visual capturing tools. The authors see a huge potential for mobile devices as credible media gathering tools in the emerging real-world journalistic practices.
Diverse Applications of the Elements of Smart Learning Environments
Authors: Robeck Edward , Raghunathan Shriram , Singh Abtar Darshan , Sharma Bibhya
Published: November 2018

The design of learning environments has greatly influenced learning approaches and strategies, and has traditionally been considered to exist within the physical walls of a learning institution. In recent years, learning environments have evolved alongside advances in the internet, technology, and mobile devices and have given rise to smart learning environments to better accommodate a new generation of learners and learning behaviors. This chapter presents an exploration of the possibilities of smart learning environments in distinct and diverse environments, across varying learner locations, profiles, and demographics. The authors explore and analyze technology and pedagogy elements that make up an effective smart learning environment, through different cases and viewpoints of the contributing authors of this book. Based on the findings, they propose a framework for the design and implementation of smart learning environments that will effectively create engaging, personalized, and effective learning moments for individual learners.
Big Data Analytics
Authors: Guleria Pratiyush , Sood Manu
Published: November 2018

Due to an increase in the number of digital transactions and data sources, a huge amount of unstructured data is generated by every interaction. In such a scenario, the concepts of data mining assume great significance as useful information/trends/predictions can be retrieved from this large amount of data, known as big data. Big data predictive analytics are making big inroads into the educational field because with the adoption of new technologies, new academic trends are being introduced into educational systems. This accumulation of large data of different varieties throws a new set of challenges to the learners as well as educational institutions in ensuring the quality of their education by improving strategic/operational decision-making capabilities. Therefore, the authors address this issue by proposing a support system that can guide the student to choose and to focus on the right course(s) based on their personal preferences. This chapter provides the readers with the requisite information about educational frameworks and related data mining.
A Framework Designed for Macro-Ergonomical Analysis of Indian Farmers
Authors: Mishra Debesh , Satapathy Suchismita
Published: November 2018

Farming provides food, which is the primary need of each and every person, and also provides employment to farmers. Still it is a non-profitable and neglected occupation. Maximum health injuries are observed during field work due to extreme climates and dusty atmosphere. Use of old hand tools and no availability of modernized tools are the cause of 70% of injuries. Although the farming sector plays a vital role on Indian economy, it remains undeveloped and unattractive. The Indian government is also framing many policies for the farmers (i.e., small/nominal farmers), but farming in states like Odisha remains undeveloped. So, in this chapter, a survey is conducted to find the health-related injuries of farmers of Odisha and then a framework is designed by QFD (quality function deployment) to suggest how to avoid injuries and provide occupational safety measures for farmers.
Nutritional Benefits of Selected Plant-Based Proteins as Meat Alternatives
Authors: Yıkmış Seydi , Atan Ramazan Mert , Kağan Nursena , Gülüm Levent , Aksu Harun , Alpaslan Mehmet
Published: November 2018

Humans meet their nutritional requirements by consuming food, and our body uses naturally sufficient amounts of all necessary nutrients to maintain its functioning. Proteins form the basis of the human diet because they are necessary for immune responses, cell signals, muscle masses, and the repair of damaged cells. Animal and plant food products are the main protein sources in the human diet. Based on scientific evidence, proteins derived from animals recently started to be replaced by plant-based options as prefered proteins for a range of reasons. Consumption of non-meat protein sources being shown to be healthy and environmentally friendly is a major consideration. Plant-based protein is helping minimize high cholesterol, type 2 diabetes, high blood pressure, obesity, certain types of cancer, including colorectal, ovarian, and breast cancers, and a diet based on non-animal proteins could increase life expectancy and decrease greenhouse gases emissions from livestock as less resources are used for plant production. The chapter describes the nutritional benefits and current uses of nine non-animal protein sources and the health benefits arising from replacing animal protein.
Understanding Edible Insects as Food in Western and Eastern Societies
Authors: Sogari Giovanni , Liu Aijun , Li Jie
Published: November 2018

In the forthcoming decades, insects might become an important alternative protein source for human consumption. However, what do consumers think about eating insects? The answer is still not very clear, and large differences exist between Western and Eastern societies. While the former has never really experienced edible insects as food, (some) Eastern countries have already practiced entomophagy for a long time. To better understand consumers' perception in both types of societies, a literature review was carried out. The results show that in the Western countries, the consumption of edible insects will depend primarily on availability in the market (i.e., regulatory framework and industry), product category (i.e., processed or unprocessed, familiar or unfamiliar), communication, and marketing. Nonetheless, more research studies are needed to explore Eastern consumers and the development of the edible insect market and industry in Asian countries.
Resource Allocation in Heterogeneous Wireless Networks
Authors: Singhal Chetna , De Swades
Published: November 2018

The advent of heterogeneous broadband wireless access networks (BWANs) has been to support the ever-increasing cellular networks' data requirements by increasing capacity, spectrum efficiency, and network coverage. The focus of this chapter is to discuss the implementation details (i.e., architecture and network components), issues associated with heterogeneous BWANs (i.e., handovers, network selection, and base station placement), and also the various resource allocation schemes (i.e., shared resource allocation in split handover and inter-RAT self-organizing networks) that can improve the performance of the system by maximizing the network capacity.
Handoff Management in Macro-Femto Cellular Networks
Authors: Mustafa Muhammad Faheem , Ahmad Ayaz , Ahmed Raheel
Published: November 2018

With the rapid increase in data traffic and high data rate demands from cellular users, conventional cellular networks are becoming insufficient to fulfill these requirements. Femto cells are integrated in macro cellular network to increase the capacity, coverage, and to fulfill the increasing demands of the users. Time required for handoff process between the cells became more sensitive and complex with the introduction of femto cells in the network. Public internet which connect the femto base station with the mobile core network induces higher latency if conventional handoff procedures are also employed in macro-femto cell network. So, handoff process will become slower and network operation will become insufficient. Some standards, procedures, and protocols should be defined for macro-femto cell network rather than using existing protocols. This chapter presents a comprehensive survey of handoff process, types of handoff in macro-femto cell network, and proposed methods and schemes for frequent and unnecessary handoff reduction for efficient network operation.
Conferences as Learning Spaces for Advancing Knowledge and Action for the SDGs
Authors: El Zoghbi Mona Betour
Published: November 2018

The international community is increasingly recognizing the importance of youth as key stakeholders in achieving the Sustainable Development Goals and Agenda 2030. Young people need to be continuously empowered and provided with opportunities to enhance their competences and networks. There are multiple capacity-building and networking events that seek to engage youth, yet the learning and impact generated in such spaces remains less understood. This chapter explores the value of youth-targeted and youth-led conferences and events centered on sustainability themes in advancing the learning experiences of youth participants. Testimonials from young people provide key insights into their engagement. The findings highlight the need for such platforms to be more empowering through focusing more directly on fostering collaborative actions amongst youth and organizations rather than merely on capacity-building on the spot; and through garnering financial or technical support for advancing youth action on the SDGs, especially at the local community level.
A Review of Business Intelligence and Analytics in Small and Medium-Sized Enterprises
Authors: Llave Marilex Rea
Published: November 2018

Business intelligence and analytics (BI&A) has become a cornerstone of many organizations in making informed decisions. Despite the importance of small and medium-sized enterprises (SMEs) to all world economies, research in BI&A focuses mostly on large enterprises. To aid in closing this gap, this study provides a comprehensive review of the literature sources in this domain. Through a systematic literature review, this study collects, categorizes, synthesizes, and analyzes 78 articles related to BI&A in SMEs. The research topics that are addressed include BI&A components and solutions, Mobile BI&A, Cloud BI&A, and BI&A application, adoption, implementation, and benefits. Further, the research gaps and suggestions for future research are presented to facilitate the progression of BI&A in SME research.
Organizational Capability Readiness Towards Business Intelligence Implementation
Authors: Ali Md Shaheb , Khan Shahadat
Published: November 2018

Business intelligence (BI) has widely been recognized due to its growing applications in improving the decision-making support. The growing trend of BI applications necessitates a study on organizational capability readiness which offers significant effects in BI implementations. However, a limited number of studies focused on issues related to organizational capability readiness for BI implementations. Therefore, this study aims to analyze and explore an integrated view of literature in relation to organizational capability readiness for BI implementations. A qualitative content analysis of relevant sample articles was conducted for exploring the thematic understanding on organizational capability readiness for BI implementations. The main findings of this review study are classified in two categories, i.e., readiness of managerial proficiency and readiness of IS-led environment. The first category “readiness of managerial proficiency” integrates several factors such as the readiness of awareness, commitment, and absorptive capacity. The second category “readiness of IS-led environment” integrates the readiness of technological support, personnel capability, and data quality management. The findings of this review study would significantly contribute to the researchers and practitioners for the sustainable development of BI implementation in business.
The Black Box Myth
Authors: Rudnick Abraham
Published: November 2018

Artificial intelligence (AI) and its correlates, such as machine and deep learning, are changing health care, where complex matters such as comoribidity call for dynamic decision-making. Yet, some people argue for extreme caution, referring to AI and its correlates as a black box. This brief article uses philosophy and science to address the black box argument about knowledge as a myth, concluding that this argument is misleading as it ignores a fundamental tenet of science, i.e., that no empirical knowledge is certain, and that scientific facts – as well as methods – often change. Instead, control of the technology of AI and its correlates has to be addressed to mitigate such unexpected negative consequences.
Virtual Communities, Machine Learning and IoT
Authors: El Morr Christo
Published: November 2018

Mental health challenges such as stress, anxiety and depression are on the rise worldwide. Health virtual communities (VCs) is a rising paradigm that has proven to be efficient and effective in delivering mental health interventions that address self-management, diagnosis and treatment targeting people facing mental health challenges. However, current Health VCs have limited application; they lack the ability to provide access to coordinated services and to continuously collect and integrate data originating from different devices in a streamlined manner. The Internet of Things (IoT) and machine learning represent a unique opportunity to expand the Health Virtual Community applications in the mental health domain; however, they represent a unique situation where challenges arise. This article will discuss the opportunities and challenges that virtual communities, machine learning and IoT represent for mental health research.
RETRACTED: Discovery of Characteristic Sequential Patterns Based on Two Types of Constraints
Authors: Sakurai Shigeaki
Published: November 2018

This article proposes a method for discovering characteristic sequential patterns from sequential data by using background knowledge. In the case of the tabular structured data, each item is composed of an attribute and an attribute value. This article focuses on two types of constraints describing background knowledge. The first one is time constraints. It can flexibly describe relationships related to the time between items. The second one is item constraints, it can select items included in sequential patterns. These constraints can represent the background knowledge representing the interests of analysts. Therefore, they can easily discover sequential patterns coinciding the interests as characteristic sequential patterns. Lastly, this article verifies the effect of the pattern discovery method based on both the evaluation criteria of sequential patterns and the background knowledge. The method can be applied to the analysis of the healthcare data.
A Fast Feature Selection Method Based on Coefficient of Variation for Diabetics Prediction Using Machine Learning
Authors: Li Tengyue , Fong Simon
Published: November 2018

Diabetes has become a prevalent metabolic disease nowadays, affecting patients of all age groups and large populations around the world. Early detection would facilitate early treatment that helps the prognosis. In the literature of computational intelligence and medical care communities, different techniques have been proposed in predicting diabetes based on the historical records of related symptoms. The researchers share a common goal of improving the accuracy of a diabetes prediction model. In addition to the model induction algorithms, feature selection is a significant approach in retaining only the relevant attributes for the sake of building a quality prediction model later. In this article, a novel and simple feature selection criterion called Coefficient of Variation (CV) is proposed as a filter-based feature selection scheme. By following the CV method, attributes that have a data dispersion too low are disqualified from the model construction process. Thereby the attributes which are factors leading to poor model accuracy are discarded. The computation of CV is simple, hence enabling an efficient feature selection process. Computer simulation experiments by using the Prima Indian diabetes dataset is used to compare the performance of CV with other traditional feature selection methods. Superior results by CV are observed.
FinTechs as Service Innovators - Understanding the Service Innovation Stack
Authors: Riikkinen Mikko , Saraniemi Saila , Still Kaisa
Published: November 2018

Fundamental internal and external changes coupled with digitalisation have enabled new market entrants, FinTechs, to innovate services, creating competitive solutions to incumbents' offering. The purpose of this article is to understand the service innovation approach of FinTech companies. The complexities of service innovation are explained with a theoretical concept of service innovation stack, which presents the multiple components needed for successful service innovation. The usefulness of this construct is observed with a longitudinal case study of 10 FinTech startup from Finland using interviews and other data. These are shown with a visual representation, which ties in the internal activities with the external ones and shows the interplay between them. With the representation of the service innovation stack, the service innovation within financial industry can be better understood and further developed. The authors further suggest that though the framework is based on cases from FinTech startups, it might be relevant also for the incumbents.
How Big Data Transforms Manufacturing Industry
Authors: Chang Victor I. C. , Lin Wanxuan
Published: November 2018

This article describes an overview of what Big Data is and explains how it transforms the manufacturing industry. First, this article defines what Big Data means for the manufacturing industry. It explains four advantages about Big Data analytics and their benefits to manufacturing. Then, it describes about what ethical issues of Big Data are. Next, it discusses more deeply about the ethical issues of Big Data in manufacturing with both individual and organizational perspectives. Finally, this article sums up with some principles to show the ethical governance of the interests of Big Data stakeholders.
Introductory Analysis of Human Upper Extremity After Stroke
Authors: Peña-Pitarch Esteban , Costa Jordi Vives , Martinez Joan Lopez , Al Omar Anas , Larrión Iñaki Alcelay , Tico-Falguera Neus
Published: November 2018

The most reliable prognostic factors associated with upper extremity (UE) recovery are localized motor impairments, especially in the musculature of the hand and abduction of the shoulder in the first days after a stroke. An evaluation of the biomechanics of the hand allows an accurate identification of the motion arcs of the digital joints. This article includes an assess the prognostic value of the range of motion of the finger joints using an instrumental glove (CyberGlove II®) for the time one week after stroke for UE functional recovery. A prospective, longitudinal, observational study is made with follow-ups at 3-4 days, 1 week, 3 and 6 months of the patients with UE motor impairment. Variables collected included: demographic data, level of stroke severity (NIHSS), deep sensitivity, sphincter incontinence, Fugl Meyer assessment of UE (FM-UE), muscle balance with the Medical Research Council (MRC), muscle tone (Modified Ashworth Scale) and pre- and post-stroke functional ability (Barthel Index and Modified Rankin Scale).
An Intelligent Water Drop Algorithm for Solving Multi-Objective Vehicle Routing Problems With Mixed Time Windows
Authors: Wang Tao , Ni Jing , Wang Yixuan
Published: November 2018

This article proposes an Intelligent Water Drop Algorithm for solving Multi-Objective Vehicle Routing Problems by considering the constraints of vehicle volume, delivery mileage, and mixed time windows and minimizing the cost of distribution and the minimum number of vehicles. This article improves the basic Intelligent Water Drop Algorithm and show the improved intelligent water droplet genetic hybrid algorithm is an effective method for solving discrete problems. The authors present a practical example and show the applicability of the proposed algorithm. The authors compare the algorithms with the basic algorithm and show the improved intelligent droplet genetic hybrid algorithm has higher computing efficiency and continuous optimization capability.
Report on Abstracts of the 15th Meeting of IIM, the Interuniversity Institute of Myology - Assisi (Italy), October 11-14, 2018
Authors: Gabellini Davide , Musarò Antonio
Published: November 2018

On October 11-14, 2018, the 15th Meeting of the Interuniversity Institute of Myology (IIM) took place in the city Assisi, Italy. Muscle researchers from Italy, and various European and North-American countries gathered to discuss recent results on the physiology and diseases of skeletal muscle. The program showcased keynote lectures from world-renowned international speakers presenting advances in muscle stem cells, circadian rhythm, organismal development and growth, muscle physiology, and bioengineering. Novel, unpublished results from young trainees were presented as oral communications or posters, based on selection from submitted abstracts. Young trainees where directly involved in several aspects of the meeting by being responsible of organizing a scientific session, arranging three round tables tailored to the interests of their peers and chairing all scientific sessions. The meeting offered a unique opportunity for young researchers to present their work, have feedback from more experienced colleagues and establish collaborations to further understanding of muscular diseases and develop therapeutic strategies. The open, informal and friendly atmosphere of the meeting stimulated lively discussions, instrumental to highlight key areas of muscle research and foster scientific cross-fertilization and new collaborations. The meeting was very successful. A sign that the IIM community will continue to deliver important contributions to the training of young students and fellows, promoting our understanding of muscle formation and activity, the mechanism of muscle diseases and the progress toward therapeutic approaches. The Myology field is strong and articulated in basic, translational and early clinical research, moving toward the development of treatments for several muscle diseases as documented by the abstracts of the IIM meeting.
Combatting the Increasing Threat of Vector-Borne Disease in the United States with a National Vector-Borne Disease Prevention and Control System
Authors: Petersen Lyle R. , Beard Charles B. , Visser Susanna N.
Published: November 2018

Reported cases of vector-borne diseases in the United States have more than tripled since 2004, characterized by steadily increasing incidence of tick-borne diseases and sporadic outbreaks of domestic and invasive mosquito-borne diseases. An effective public health response to these trends relies on public health surveillance and laboratory systems, proven prevention and mitigation measures, scalable capacity to implement these measures, sensitive and specific diagnostics, and effective therapeutics. However, significant obstacles hinder successful implementation of these public health strategies. The recent emergence of Haemaphysalis longicornis, the first invasive tick to emerge in the United States in approximately 80 years, serves as the most recent example of the need for a coordinated public health response. Addressing the dual needs for innovation and discovery and for building state and local capacities may overcome current challenges in vector-borne disease prevention and control, but will require coordination across a national network of collaborators operating under a national strategy. Such an effort should reduce the impact of emerging vectors and could reverse the increasing trend of vector-borne disease incidence and associated morbidity and mortality.
Elucidating real-world vehicle emission factors from mobile measurements over a large metropolitan region: a focus on isocyanic acid, hydrogen cyanide, and black carbon
Authors: Wren Sumi N. , Liggio John , Han Yuemei , Hayden Katherine , Lu Gang , Mihele Cris M. , Mittermeier Richard L. , Stroud Craig , Wentzell Jeremy J. B. , Brook Jeffrey R.
Published: November 2018

Abstract. A mobile laboratory equipped with state-of-the-art gaseous and particulate
instrumentation was deployed across the Greater Toronto Area (GTA) during two
seasons. A high-resolution time-of-flight chemical ionization mass spectrometer (HR-TOF-CIMS)
measured isocyanic acid (HNCO) and hydrogen cyanide (HCN), and a
high-sensitivity laser-induced incandescence (HS-LII) instrument measured
black carbon (BC). Results indicate that on-road vehicles are a clear source
of HNCO and HCN and that their impact is more pronounced in the winter, when
influences from biomass burning (BB) and secondary photochemistry are weakest.
Plume-based and time-based algorithms were developed to calculate
fleet-average vehicle emission factors (EFs); the algorithms were found to
yield comparable results, depending on the pollutant identity. With respect
to literature EFs for benzene, toluene, C2 benzene (sum of m-, p-, and o-xylenes and
ethylbenzene), nitrogen oxides, particle number concentration (PN), and black
carbon, the calculated EFs were characteristic of a relatively clean vehicle
fleet dominated by light-duty vehicles (LDV). Our fleet-average EF for BC (median:
25 mg kgfuel-1; interquartile range, IQR:
10–76 mg kgfuel-1) suggests that overall vehicular
emissions of BC have decreased over time. However, the distribution of EFs
indicates that a small proportion of high-emitters continue to contribute
disproportionately to total BC emissions. We report the first fleet-average
EF for HNCO (median: 2.3 mg kgfuel-1, IQR:
1.4–4.2 mg kgfuel-1) and HCN (median:
0.52 mg kgfuel-1, IQR:
0.32–0.88 mg kgfuel-1). The distribution of the estimated
EFs provides insight into the real-world variability of HNCO and HCN
emissions and constrains the wide range of literature EFs obtained from
prior dynamometer studies. The impact of vehicle emissions on urban HNCO
levels can be expected to be further enhanced if secondary HNCO formation
from vehicle exhaust is considered.
Cloud Droplet Growth in Shallow Cumulus Clouds Considering 1D and 3D Thermal Radiative Effects
Authors: Klinger Carolin , Feingold Graham , Yamaguchi Takanobu
Published: November 2018

Abstract. The effect of 1D and 3D thermal radiation on cloud droplet growth in shallow cumulus clouds is investigated using large eddy simulations with size resolved cloud microphysics. A two step approach is used for separating microphysical effects from dynamical feedbacks. In step one, an offline parcel model with bin resolved microphysics is used where cloud droplets are grown along previously recorded Lagrangian trajectories. It is shown that thermal heating and cooling rates can enhance droplet growth and rain production. Droplets grow to larger size bins in the 10–30 μm radius range. The main effect in terms of rain production arises from recirculating parcels, where a small number of droplets is exposed to strong thermal cooling at cloud edge. These recirculating parcels, comprising about 6–7 % of all parcels investigated, make up 45 % of the accumulated rain rate for the no radiation simulation and up to 60 % when 3D radiative effects are considered. The effect of 3D thermal radiation on rain production is stronger than that of 1D thermal radiation. 3D thermal radiation can enhance the rain rate up to 40 % compared to standard droplet growth without radiative effects in this idealized framework. In the second stage, fully coupled large eddy simulations show that dynamical effects are stronger than microphysical effects, as far as the production of rain is concerned. 3D thermal radiative effects again exceed 1D thermal radiative effects. Small amounts of rain are produced in more clouds (over a larger area of the domain) when thermal radiation is applied to microphysics. The dynamical feedback is shown to be an enhanced cloud circulation with stronger subsiding shells at the cloud edges due to thermal cooling, and stronger updraft velocities in the cloud center. It is shown that an evaporation-circulation feedback reduces the amount of rain produced in simulations where 3D thermal radiation is applied to microphysics and dynamics, in comparison where 3D thermal radiation is only applied to dynamics.