174 research outputs found

    Model-driven engineering techniques and tools for machine learning-enabled IoT applications: A scoping review

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    This paper reviews the literature on model-driven engineering (MDE) tools and languages for the internet of things (IoT). Due to the abundance of big data in the IoT, data analytics and machine learning (DAML) techniques play a key role in providing smart IoT applications. In particular, since a significant portion of the IoT data is sequential time series data, such as sensor data, time series analysis techniques are required. Therefore, IoT modeling languages and tools are expected to support DAML methods, including time series analysis techniques, out of the box. In this paper, we study and classify prior work in the literature through the mentioned lens and following the scoping review approach. Hence, the key underlying research questions are what MDE approaches, tools, and languages have been proposed and which ones have supported DAML techniques at the modeling level and in the scope of smart IoT services.info:eu-repo/semantics/publishedVersio

    Structural study of the coordination behavior of a tetradentate NO3-donor amino alcohol ligand toward a CdII:HgII mixture

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    In this work, the reaction of 2,2′,2″-nitrilotriethanol (NTE) with a 1:1 mixture of CdI2 and HgI2 is investigated. The complex [Cd(NTE)2][Hg2(μ-I)2I4] was synthesized and identified by elemental analysis, FT-IR, 1H NMR spectroscopy and single-crystal X-ray diffraction. The structure of the [HNTE]Cl salt is also presented. In the crystal structure of the complex, the cadmium atom has a CdN2O6 environment in a slightly distorted cube geometry. This geometry is one of the rare cube geometries with a minimum distortion among the Cambridge Structural Database structures for cadmium complexes. The anionic moiety has a binuclear structure with the mercury atoms being in tetrahedral environments. In the network of the complex, in addition to O−H · · · I hydrogen bonds, there are I · · · I interactions which lead to ten-membered rings.Publisher PDFPeer reviewe

    2D-coordination polymer containing lead(II) in a hemidirected PbO4S3 environment formed by molecular breaking of the 1,3-oxathiolane ligand

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    new 1,3-oxathiolane-based ligand, 2-(1,3-oxathiolan-2-yl)pyridine, was prepared and its coordination to lead(II) was investigated. Experiments revealed a ligand-breaking reaction during the complexation process, which leads to the formation of a 2D-coordination polymer of lead(II), [Pb(μ3-HME)(μ-OAc)]n; H2ME: 2-mercaptoethanol. The compounds have been characterized by elemental analysis, FT-IR, 1H NMR spectroscopy and single-crystal X-ray diffraction. X-ray analysis revealed a 2D-coordination polymer extending via acetato bridges. The lead(II) center adopts a rare PbO4S3-distorted pentagonal bipyramidal geometry with a hemidirected arrangement. Upon coordination, the thiol group of the H2ME ligand is deprotonated to coordinate as an anionic ligand. The network extends in sheets in the crystallographic ab plane via Pb–S–Pb and Pb–O–Pb bridges, aided by O–H⋯O hydrogen bonds.Publisher PDFPeer reviewe

    Financial and economic determinants of sustainable economic growth in Egypt, Nigeria and South Africa

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    This study analyzes financial and economic determinants of sustainable economic performance using the quantile regression for the period from 1970 to 2016 for Egypt, Nigeria and South Africa. The main drivers of sustainable economic performance vary among the economies. It is driven by trade openness, government expenditure and political stability in Egypt. In South Africa, the desired threshold for financial development to impact growth is reached. Also, there is complementarity between financial development and trade openness. This proves their advancement at the domestic financial markets in the direction to sustainable economic performance. Interestingly, Nigerian economy’s sustainable growth is enhanced by capital account openness. Policies that will boast intra trade in Africa are encouraged as the AfCFTA has come to spur manufacturing activities on the continent. At the same time, emphasis should be set to improve financial and economic determinants of sustainable economic performance

    Proposed analytic framework for student relationship management based on a systematic review of CRM systems literature

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    Notwithstanding the research attention given to the importance and capability of the student relationship management strategy in higher education sustainability, there is no any systematic framework for implementation. This research as one of the preliminary studies has been undertaken to provide a structural framework of strategic practices for positioning this strategy at an operational level. In doing so, a methodological approach was implemented in two tiers. Firstly, a systematic review of the leading-edge literature on the customer relationship management systems was performed owing to the lack of significant research on the topic, as well as the structure and nature of the concept. Then, the principal components factor analysis with varimax rotation, which is a method of exploratory factor analysis was used to finalize the research. The findings revealed an articulated structural framework with five hypotheses, which may partially or fully be applied to narrow the major gap in the current knowledge. The measurement scale has also been developed for simplification in implementation of the application. Limitations and directions for future research were accordingly discussed

    Residents' attitude toward tourism development: A sociocultural perspective

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    Host population support for tourism development has attracted the attention of researchersin tourism studies. Given the importance of understanding local community support for tourismdevelopment, limitations in understanding their priority and lack of a socio-cultural model ofsupport for tourism, this study attempted to model locals' support for tourism development based onsocio-cultural factors in Malaysian Homestay program. Using extensive literature review, a tourismsupport model was proposed including several hypothesized paths. The proposed socio-culturalresearch framework predicted the impact of Islamic religiosity, locals' knowledge about tourism, intrinsic motivation factors and community attachment on locals support for tourism developmentthrough mediating variables of perceived socio-cultural benefits and costs in Malaysian Homestays., the model and paths were tested using structural equation modelling and partial least squarealgorithm (PLS-SEM) with the aid of SmartPLS software. Findings reveal that locals' support fortourism development in Homestay program is a function of perceived socio-cultural benefits andcosts perceived by local community and four independent variables of Islamic religiosity, knowledgeabout tourism, intrinsic motivations, and community attachment.authors

    Deep Decomposition Learning for Inverse Imaging Problems

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    Deep learning is emerging as a new paradigm for solving inverse imaging problems. However, the deep learning methods often lack the assurance of traditional physics-based methods due to the lack of physical information considerations in neural network training and deploying. The appropriate supervision and explicit calibration by the information of the physic model can enhance the neural network learning and its practical performance. In this paper, inspired by the geometry that data can be decomposed by two components from the null-space of the forward operator and the range space of its pseudo-inverse, we train neural networks to learn the two components and therefore learn the decomposition, i.e. we explicitly reformulate the neural network layers as learning range-nullspace decomposition functions with reference to the layer inputs, instead of learning unreferenced functions. We empirically show that the proposed framework demonstrates superior performance over recent deep residual learning, unrolled learning and nullspace learning on tasks including compressive sensing medical imaging and natural image super-resolution. Our code is available at https://github.com/edongdongchen/DDN.Comment: To appear in ECCV 202

    Structural conversion of an oxazolidine ligand upon treatment with copper(I) and (II) halides; structural, spectral, theoretical and docking studies

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    In this work, the 2-(2-(pyridin-2-yl)oxazolidin-3-yl)ethanol (AEPC) ligand was prepared under solvent free conditions using ultrasonic irradiation, before reaction with a Cu(NO3)2/KSCN mixture, CuCl2 and CuI, the products of which were characterized by elemental analysis, UV-Vis, FT-IR spectroscopy and single-crystal X-ray diffraction. The X-ray analyses results revealed that AEPC, after reactions with the three copper(I/II) halides, gave structures ([Cu(DEA)Cl2] ( 2 ), DEA = diethanolamine, [Cu(BHEG)2] ( 3 ), BHEG = bis(2-hydroxyethyl)glycinato), however it retains its structure on treatment with Cu(NO3)2/KSCN mixture ([Cu(AEPC)(NCS)2] ( 1 )). The geometrical parameters for the complexes were compared with the Cambridge Structural Database (CSD) and coordination modes for thiocyanate ion were extracted. In the crystal structure of 1 , the copper ion has a distorted square-pyramidal geometry and a CuNpyN2NCSNtertOalc environment in which the AEPC acts as NN'O-donor in a facial coordination mode. In the crystal structure of 2 , the copper ion has a Cu(Nsec)(Oalc)2Cl2 environment and distorted square-pyramidal geometry in which the DEA ligand is coordinated as a mer-NO2-donor. The copper ion in 3 has a CuN2O4 environment and distorted octahedral geometry. The ability of these compounds to interact with the nine biomacromolecules (BRAF kinase, CatB, DNA gyrase, HDAC7, rHA, RNR, TrxR, TS and Top II) was investigated by Docking calculations and compared with that of doxorubicin. The thermodynamic stability of 1 and its isomer and also charge distribution patterns were studied by DFT and NBO analysis, respectively.PostprintPeer reviewe

    Path analysis of the relationship between optimism, humor, affectivity, and marital satisfaction among infertile couples

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    Marital satisfaction is an important factor for establishing a family relationship, feeling satisfied, and living happily together. The aim of the present study was to investigate the relationship between optimism, humor, positive and negative affect, and marital satisfaction among infertile couples. The sample comprised 80 infertile Iranian couples (n = 160) who visited infertility clinics. Participants completed a series of Persian versions of psychometric scales related to optimism (Attributional Style Questionnaire), humor (Humor Styles Questionnaire), marital satisfaction (Enrich Marital Satisfaction Questionnaire), positive affect (PA) and negative affect (NA) (Positive and Negative Affect Schedule). The obtained result of Smart PLS statistical analysis confirmed the significant positive correlation between optimism and humor with marital satisfaction and high PA and low NA. Moreover, the findings also provided an adequate fit of the model. The findings demonstrated that infertile couples high in optimism and humor have higher levels of marital satisfaction and high PA and low PA. Based on the study’s findings, interventions for facilitating optimism and humor among infertile couples are discussed
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