A recent contribution to the black scavenger flies (Diptera: Sepsidae) in Iran

Abstract. In order to study the family Sepsidae in Iran, a survey was conducted in East Azerbaijan province during [2009][2010][2011][2012]. Two genera and six species of the family are recognized. Three species, Nemopoda nitidula (Fallén, 1820), Sepsis biflexuosa Strobl, 1893, S. punctum (Fabricius 1794) are recorded for the first time from Iran. An identification key to the Iranian sepsids is prepared as well the localities and photos of identified species in this study are given

A contribution to the knowledge of the family Dolichopodidae (Diptera) in East Azerbaijan province of Iran

Based on specimens collected from East Azerbaijan province during 2009-2011, four genera and eleven species of the family Dolichopodidae are recognized. Seven species (Diaphorus sublautus Negrobov, Dolichopus austriacus Parent, D. campestris Meigen, D. immaculatus Becher, D. subpennatus Fonseca, D. ungulatus (Linnaeus), Hercostomus phoebus Parent are recorded from Iran for the first time. Photos and an adapted key to species of the family Dolichopodidae occurring in this region are given

Big data security on cloud servers using data fragmentation technique and NoSQL database

© Springer International Publishing AG, part of Springer Nature 2019. Cloud computing has become so popular that most sensitive data are hosted on the cloud. This fast-growing paradigm has brought along many problems, including the security and integrity of the data, where users rely entirely on the providers to secure their data. This paper investigates the use of the pattern fragmentation to split data into chunks before storing it in the cloud, by comparing the performance on two different cloud providers. In addition, it proposes a novel approach combining a pattern fragmentation technique with a NoSQL database, to organize and manage the chunks. Our research has indicated that there is a trade-off on the performance when using a database. Any slight difference on a big data environment is always important, however, this cost is compensated by having the data organized and managed. The use of random pattern fragmentation has great potential, as it adds a layer of protection on the data without using as much resources, contrary to using encryption

NEW RECORDS OF LONG-LEGGED FLIES (DIPTERA: DOLICHOPODIDAE) FROM IRAN

In this study, the following six long-legged fly species (Diptera, Dolichopodidae) collected in the East Azerbaijan province during 2010-2013 are new records for the Iranian fauna: Chrysotimus molliculus (Fallén, 1823); Hercostomus apollo (Loew, 1869); Hydrophorus balticus (Meigen, 1824); Medetera meridionalis Negrobov, 1967; Orthoceratium lacustre (Scopoli, 1763) and Poecilobothrus principalis (Loew, 1861). General geographic distribution of the species and supplementary figures are provided

Strategic emergency department design: An approach to capacity planning in healthcare provision in overcrowded emergency rooms

Healthcare professionals and the public have increasing concerns about the ability of emergency departments to meet current demands. Increased demand for emergency services, mainly caused by a growing number of minor and moderate injuries has reached crisis proportions, especially in the United Kingdom. Numerous efforts have been made to explore the complex causes because it is becoming more and more important to provide adequate healthcare within tight budgets. Optimisation of patient pathways in the emergency department is therefore an important factor

Collaborative Systems Thinking Research: Exploring Systems Thinking within Teams

This paper describes ongoing research that seeks to develop an empirical basis for collaborative systems thinking, defined as “an emergent behavior of teams resulting from the interactions of team members and utilizing a variety of thinking styles, design processes, tools, and communication media to consider system attributes, interrelationships, context and dynamics towards executing systems design”. This type of thinking is critically important to addressing engineering systems challenges, and the research seeks to inform and enable effective systems engineering practice in contemporary engineering enterprises. Focusing on the aerospace domain, collaborative systems thinking is examined through the alignment of enterprise culture and standard technical processes. This paper draws on a variety of literature to compose a definition of collaborative systems thinking and propose a research agenda going forward

Tuple-based semantic and structural mapping for a sustainable interoperability

Abstract. Enterprises are demanded to collaborate and establish partnerships to reach global business and markets. However, due to the different sources of models and semantics, organizations are experiencing difficulties exchanging vital information electronically and seamlessly, even when they operate in related business environments. This situation is even worst in the advent of the evolution of the enterprise systems and applications, whose dynamics result in increasing the interoperability problem due to the continuous need for model adjustments and semantics harmonization. To contribute for a long term stable interoperable enterprise operating environment, the authors propose the integration of traceability functionalities in information systems as a way to support such sustainability. Either data, semantic, and structural mappings between partner enterprises in the complex network should be modelled as tuples and stored in a knowledge base for communication support with reasoning capabilities, thus allowing to trace, monitor and support the stability maintenance of a system's interoperable state

GISualization: visualized integration of multiple types of data for knowledge co-production

Urban planning deals with multiple layers of information stemming from concurrent activities and stakeholders intervening in urban development. For a better management of complexity more comprehensiveness and data integration are needed. This study develops an adaptive and iterative mixed-method approach for knowledge production in urban transformation processes. Specific research questions relate to data integration from different sources and facilitation of co-production of knowledge beyond triangulation. A new multi-layer framework, GISualization, has been developed in the context of a research project exploring compact city qualities. The framework is structured through five data layers, representing different methods for data collection and different grades of complexity, richness and interpretation: basic statistics; advanced statistics; exogenous quali-quantitative descriptions; exogenous qualitative descriptions; and endogenous qualitative descriptions. Thus, data stem from both quantitative and qualitative sources. Our study has proven that GISualization is a methodological framework that enables analysis and visualization of complex data in a rich format. The approach is closely related to analytical eclecticism and abductivity. It embodies a collaborative communication platform that provides a language to navigate between heterogeneous data, information and methods. The GISualization framework opens up for broader stakeholder involvement and community participation extending research into the domain of transdisciplinary knowledge production