In this comprehensive review we analyze the intellectual structure of the halal food research based on 290 Web of Science (WoS) core collection documents written by 633 authors from 41 countries over ...three decades (1990–2019). The review adopts a knowledge domain visualization technique to explore the basic bibliometric/scientometric profile of the field, its influential authors, its core journals, its representative references, its collaborative patterns, its research hotspots/emerging trends, its changing paradigms and its knowledge/intellectual structure. We also borrow concepts from social network analysis to uncover and map out structural attributes of communication networks in the field as well as to illuminate how different actors exchange information. Social network analysis shows that halal food research networks reflect what is sometimes called the Matthew Effect in sociology-a mechanism akin to the preferential attachment in which a small number of hubs have larger number of connections compared to the rest of actors. We further use burst detection techniques to visually explore halal food research fronts and its distinct schools of thought (the so-called ‘invisible colleges’). By so doing, we provide a window through which the knowledge domain of halal food landscape can be examined.
•The study reviews the intellectual structure of halal food research.•Basic bibliometric structure of halal food is investigated.•Collaboration patterns in the field are examined.
The microstructural evolution in the single crystal Ni-base superalloy ERBO/1 (CMSX 4 type) is investigated after load controlled low cycle fatigue (LCF) at 950 °C (load-ratio: 0.6, tensile stress ...range: 420–740 MPa, test frequency: 0.25 Hz, fatigue rupture life: about 1000 - 3000 cycles). Bulk topologically close packed (TCP) phase particles precipitated and were analyzed by three-dimensional focus ion beam slice and view imaging and analytical transmission electron microscopy. The particles did not precipitate homogenously but at locations with enhanced levels of local stresses/strains, such as isolated γ-channels subjected to cross channel stresses, shear bands and in front of micro cracks. The influence of stress/strain is furthermore apparent in the spatial arrangement and the shape of the TCP phase particles. Only μ-phase TCP particles were found by electron diffraction. Results of a structure-map analysis suggest that most of these TCP particles observed after LCF testing would not precipitate in thermodynamic equilibrium. In order to rationalize this effect, the atomic volume was analyzed that transition-metal (TM) elements take in unary fcc and in unary μ-phase crystal structures and found that all TM elements except Zr and V take a larger volume in a unary μ phase than in a unary fcc phase. This trend is in line with the observed localized precipitation of TCP phases that are rich in Ni and other late TM elements. The experimental and theoretical findings suggest consistently that formation of TCP particles in LCF tests is considerably influenced by the local tensile stress/strain states.
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This study utilizes bibliometric analyses to map and visualize the development, conceptual structure, and thematic evolution of the Islamic Banking and Finance (IB&F) scholarly research. It analyses ...464 WoS IB&F research publications of 921 authors comprising 58 countries published over three decades from 1990 to 2019. The results reveal that (i) collaboration among countries is limited and institutional collaboration can be described as a “locally concentrated and globally isolated,“ (ii) the IB&F research is a type of “small-world-network” where few authors and journals dominate the networks and play a central role in the diffusion of knowledge and the “homophily impact” is present among the leading authors of the IB&F research, (iii) the networks in IB&F research reflects the “Matthew Effect,“ implying that few authors have a more significant number of networks compared to the rest of authors. The study has also identified the conceptual structure and thematic trends in the IB&F research and provides avenues for future research.
Multispectral image matching plays a very important role in remote sensing image processing and can be applied for registering the complementary information captured by different sensors. Due to the ...nonlinear intensity difference in multispectral images, many classic descriptors designed for images of the same spectrum are unable to work well. To cope with this problem, this paper proposes a new local feature descriptor termed histogram of oriented structure maps (HOSM) for multispectral image matching tasks. This proposed method consists of three steps. First, we propose a new method based on local contrast to construct the structure guidance images from the multispectral images by transferring the significant contours from source images to results, respectively. Second, we calculate oriented structure maps with guided image filtering. In details, we first construct edge maps by the progressive Sobel filters to extract the common structure characteristics from the multispectral images, and then we compute the oriented structure maps by performing the guided filtering on the edge maps with the structure guidance images constructed in the first step. Finally, we build the HOSM descriptor by calculating the histogram of oriented structure maps in a local region of each interest point and normalize the feature vector. The proposed HOSM descriptor was evaluated on three commonly used datasets and was compared with several state-of-the-art methods. The experimental results demonstrate that the HOSM descriptor can be robust to the nonlinear intensity difference in multispectral images and outperforms other methods.
Al revisar los estudios del comercio internacional desde un enfoque de redes, encontramos una falta de contenido económico en los indicadores utilizados. Ante tal carencia, el presente artículo ...propone una alternativa metodológica para describir al comercio como red, pero enfatizando el sentido económico. Dicha metodología propone: estimar la centralidad de los países en el comercio brindando resultados económicamente interpretables; construir redes y mapas de estructura de comercio como alternativa visual a las redes de comercio convencionales; y estimar indicadores para evaluar la fortaleza de la integración comercial de grupos de países. Al aplicar tal metodología a información de 145 países entre 1992 y 2015, se logra: identificar los posibles países más influyentes en el comercio mundial; identificar potenciales estructuras centro-periféricas regionales; mostrar que la centralidad se distribuye de forma heterogénea, pero siempre concentrándose en pocos países; e identificar grupos de mayor y menor fortaleza en su integración comercial. Todos los resultados parecen describir adecuadamente la complejidad económica del comercio, mostrando que la metodología propuesta sería válida para brindar un sentido económico al comercio internacional visto como red. || Most papers which study the world trade network use indicators that suffer from an absence of economic content. Understanding this problem, we propose an alternative methodology to describe the international trade using a network perspective, but recovering the economic interpretation. The proposal consists in: estimating countries' centrality using indicators with economic interpretation; building trade structure networks and maps as alternatives to conventional visualizations; and estimating indicators to evaluate the strength of trade integration. We apply the methodology to information for 145 countries from 1992 to 2015, finding that our indicators identify the potentially most influential countries on international trade, possible core-periphery structures, a heterogeneous centrality distribution (always concentrated in few countries), and groups of different strength on its trade integration. All the results seem adequate in its description of trade economic-complexity, suggesting that the proposed methodology would be a valid tool to bring some economic sense to the international trade studied from a network perspective.
Most papers which study the world trade network use indicators that suffer from an absence of economic content. Understanding this problem, we propose an alternative methodology to describe the ...international trade using a network perspective, but recovering the economic interpretation. The proposal consists in: estimating countries' centrality using indicators with economic interpretation; building trade structure networks and maps as alternatives to conventional visualizations; and estimating indicators to evaluate the strength of trade integration. We apply the methodology to information for 145 countries from 1992 to 2015, finding that our indicators identify the potentially most influential countries on international trade, possible core-periphery structures, a heterogeneous centrality distribution (always concentrated in few countries), and groups of different strength on its trade integration. All the results seem adequate in its description of trade economic-complexity, suggesting that the proposed methodology would be a valid tool to bring some economic sense to the international trade studied from a network perspective.
The subsurface structure analysis of the Southern North Sea through the interpretation of 2D seismic data set (SNSTI-NL-87 and SNST-NL-83) is carried out. The subsurface structural geometry of the ...research area is presented by several interpreted seismic lines, time structure maps, and isopach maps. The rocks presented beneath the Zechstein (Permian) are considered as the basement for the current study. The area was tectonically active in Permian, as the basement was faulted at several locations before the deposition of salt in Late Permian. The dominant fault trends of the area are NW‒SE and NE‒SW. Two main periods are believed to control development of structural elements, i.e. in Late Jurassic‒Early Cretaceous (extension) and Late Cretaceous‒Early Tertiary (inversion). Thick Triassic and Jurassic sediments are observed in the graben areas and due to possible erosion, these sediments are thin or not present on the structural highs. The compressional period and observed thickness variation of sediments are due to tectonic inversion and salt movement in Late Cretaceous.
This paper describes a method to identify key crystallographic parameters that can serve as strong classifiers of crystal chemistries and hence define new structure maps. The selection of this pair ...of key parameters from a large set of potential classifiers is accomplished through a linear data‐dimensionality reduction method. A multivariate data set of known AI4AII6(BO4)6X2 apatites is used as the basis for the study where each AI4AII6(BO4)6X2 compound is represented as a 29‐dimensional vector, where the vector components are discrete scalar descriptors of electronic and crystal structure attributes. A new structure map, defined using the two distortion angles αAII (rotation angle of AII—AII—AII triangular units) and ψAIz = 0AI—O1 (angle the AI—O1 bond makes with the c axis when z = 0 for the AI site), is shown to classify apatite crystal chemistries based on site occupancy on the A, B and X sites. The classification is accomplished using a K‐means clustering analysis.
The present paper demonstrates how data mining techniques can be used to quantitatively assess multivariate material properties, such as electronic features and crystal structure parameters. Using AB
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spinel nitrides as a template for the present study, the authors have assessed the statistical interdependency of each of the descriptors that may influence chemistry-structure-property relationships of spinel nitrides. Using principal component analysis, the authors demonstrate that classical versions of structure maps from the early work of Hill based on heuristic observations for this class of crystal chemistry can in fact be reproduced via data mining. The informatics approach also provides an alternative method for visualising structure maps as well as interpreting structure-property relationships. Apart from being able to reproduce earlier versions of structure maps, an example is also developed for the case of a new informatics based structure map for spinel nitrides, showing data clustering associated with site occupancy.
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