The Wheat@URGI portal has been developed to provide the international community of researchers and breeders with access to the bread wheat reference genome sequence produced by the International ...Wheat Genome Sequencing Consortium. Genome browsers, BLAST, and InterMine tools have been established for in-depth exploration of the genome sequence together with additional linked datasets including physical maps, sequence variations, gene expression, and genetic and phenomic data from other international collaborative projects already stored in the GnpIS information system. The portal provides enhanced search and browser features that will facilitate the deployment of the latest genomics resources in wheat improvement.
Effective assessment of any region's groundwater resources depends greatly on the levels of the sub-surface water. Since groundwater resources are being overused, the availability of groundwater is ...in a critical scenario. Quality of the groundwater is deteriorating in numerous regions as a result of the worrisome rate of groundwater table depletion. Depending on how frequently the aquifer under the earth surface is recharged by surface water supplies, groundwater can be kept underground for days, weeks, months, years, centuries, or even millennia. Currently, the utility is increased as compared to availability. The current water demand exceeds the surface water supply. As a result, for the effective management and usage of the priceless natural resources, groundwater potential zones’ systematic evaluation is now essential. The understanding about monitoring and a suitable sustainable development strategy for water resources is provided by groundwater potential zoning. The delineation of groundwater potential zoning is influenced by various factors, including rainfall, land-use cover, geological formations, geomorphology, drainage features, slope, etc. To ensure the sustainable groundwater management in the basin, it is essential to locate groundwater potential zones, so that series of recharge structures may be built there to manage aquifer recharge. Remote sensing and GIS are recent techniques that become very crucial tools in accessing, monitoring, and conserving groundwater resources because of their advantages of spatial, spectral, and temporal availability and interpolation of data covering big and inaccessible areas in short amount of time.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Landslides and slope failures are often caused by earthquakes. This study proposes a method to map earthquake-induced slope failure hazards that uses the analytic hierarchy process (AHP) and a ...geographic information system (GIS) for four districts where many slope failures were induced by earthquakes (the 2018 Hokkaido Eastern Iburi, 2016 Kumamoto, 2008 Iwate-Miyagi Nairiku, and 2004 Mid Niigata Prefecture earthquakes). The assessment system, which was based on the National Research Institute for Earth Science and Disaster Resilience landslide distribution maps, was analyzed using the methods of previously published. We considered the relationships between the earthquake-induced slope failure distributions and landslide hazard factors (elevation, slope angle, slope type, catchment degree, geology, and vegetation). These relationships were utilized for pairwise comparisons of the factors in the AHP analysis. The slope angle, slope type, and catchment degree exerted the highest effects on the slope failure distribution in the four districts. The four earthquake-induced slope failure distributions were highly consistent with the slope failure hazard rank. These results provide a practical method for evaluating earthquake-induced slope-failure hazards.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Integration of Building Information Modeling (BIM) and Geographic Information System (GIS) largely relies on data exchange between the two systems. However, the usual tool for geometry transformation ...from IFC (BIM) to shapefile (GIS), i.e., the Data Interoperability extension for ArcGIS (DIA), tends to result in geometric errors and cause geometric information loss. This study proposes an Open-Source Approach (OSA), in which the geometric information in IFC is retrieved through the spatial structure of IFC, i.e., IFC-Tree, and converted into shapefile by developing an automatic multipatch generation algorithm (AMG). A test on bridge model shows that OSA is more efficient than DIA and is comparable to Feature Manipulation Engine (FME), and the transformed model is easier to manage and can be used in more applications. OSA can link BIM and GIS in a more stable and efficient manner by enhancing the data transformation from BIM to GIS. However, its efficiency should be further improved compared with FME.
•An algorithm for transforming sweep parameters to B-rep objects is developed.•A proper equation for IFC coordinate system transformation is developed and justified.•Transformation of IFC to Shapefile is achieved using Open-Source Approach.•The developed Open-Source Approach outshines Data Interoperability for ArcGIS.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
The use of routine immunization data by health care professionals in low- and middle-income countries remains an underutilized resource in decision-making. Despite the significant resources invested ...in developing national health information systems, systematic reviews of the effectiveness of data use interventions are lacking. Applying a realist review methodology, this study synthesized evidence of effective interventions for improving data use in decision-making.
We searched PubMed, POPLINE, Centre for Agriculture and Biosciences International Global Health, and African Journals Online for published literature. Grey literature was obtained from conference, implementer, and technical agency websites and requested from implementing organizations. Articles were included if they reported on an intervention designed to improve routine data use or reported outcomes related to data use, and targeted health care professionals as the principal data users. We developed a theory of change a priori for how we expect data use interventions to influence data use. Evidence was then synthesized according to data use intervention type and level of the health system targeted by the intervention.
The searches yielded 549 articles, of which 102 met our inclusion criteria, including 49 from peer-reviewed journals and 53 from grey literature. A total of 66 articles reported on immunization data use interventions and 36 articles reported on data use interventions for other health sectors. We categorized 68 articles as research evidence and 34 articles as promising strategies. We identified ten primary intervention categories, including electronic immunization registries, which were the most reported intervention type (n = 14). Among the research evidence from the immunization sector, 32 articles reported intermediate outcomes related to data quality and availability, data analysis, synthesis, interpretation, and review. Seventeen articles reported data-informed decision-making as an intervention outcome, which could be explained by the lack of consensus around how to define and measure data use.
Few immunization data use interventions have been rigorously studied or evaluated. The review highlights gaps in the evidence base, which future research and better measures for assessing data use should attempt to address.
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CEKLJ, DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
•Sensitivity analysis fosters improvements in groundwater potential zone modelling.•Criteria weighting is considered a key contributor of uncertainty in MCDA outputs.•The initial criteria weight size ...is not the only driver of model sensitivity.•Spatial form, scale and resolution contribute to model sensitivity.•Criteria aggregation is mostly driven by class values requiring their justification.
This study presents a spatially explicit sensitivity and uncertainty analysis approach to a GIS-based multi-criteria groundwater potential zone model. The study addressed a deficiency in the way groundwater potential mapping results are typically presented using discrete class outputs without assessment of their certainty with respect to variations in criteria weighting, one of the main contributors to output uncertainty in GIS-based multi-criteria decision analysis studies. We argue, moderating groundwater potential mapping results with localised uncertainty levels will help to refine and prioritise groundwater exploration efforts. The approach also enables a better understanding of the underlying factors influencing uncertainty in model outputs, which can help to inform the calibration of input parameters to improve model performance. Although the procedures presented in this study have been applied to other types of multi-criteria evaluations, its integration in GIS-based groundwater potential modelling has received little attention. We provide a case study focused on a fractured rock environment surrounding the township of Hawker in South Australia where new groundwater resources are sought. Small incremental weight changes were applied one-at-a-time and automated as a task in ArcGIS Pro, built using the ArcPy Python module that interacts with spatial tools allowing geographical analysis. The approach is applicable to both continuous and discrete class-based mapping outputs and enabled a deeper understanding of model output behaviour with respect to criteria weighting alternatives. The case study findings demonstrate the potential value of the approach in mitigating uncertainty and improving confidence in locating sites with high groundwater potential.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Digitalization provides access to an integrated network of unexploited big data with potential benefits for society and the environment. The development of smart systems connected to the internet of ...things can generate unique opportunities to strategically address challenges associated with the United Nations Sustainable Development Goals (SDGs) to ensure an equitable, environmentally sustainable, and healthy society. This perspective describes the opportunities that digitalization can provide towards building the sustainable society of the future. Smart technologies are envisioned as game-changing tools, whereby their integration will benefit the three essential elements of the food-water-energy nexus: (i) sustainable food production; (ii) access to clean and safe potable water; and (iii) green energy generation and usage. It then discusses the benefits of digitalization to catalyze the transition towards sustainable manufacturing practices and enhance citizens' health wellbeing by providing digital access to care, particularly for the underserved communities. Finally, the perspective englobes digitalization benefits by providing a holistic view on how it can contribute to address the serious challenges of endangered planet biodiversity and climate change.
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•Sustainable development in years to come will capitalize greatly on digitalization.•Internet of things as essential tool for sustainable food production and planet health•Artificial intelligence can optimize energy production and water treatment.•Smart technologies can provide equity access to services and increase wellbeing.•Digitalization can guide actions to face climate change and protect biodiversity.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Morphometric analysis is not only important for a hydrological analysis, but also necessary in the management and development of a basin. In this study, we attempted to prioritize twenty ...sub-watersheds of Bamhani watershed considering the linear, aerial and relief aspects of the watershed that will be further used in the multi-criterion decision making (MCDM) analysis. ELECTRE, Vlsekriterijumskaoptimizacija I kompromisno resenje (VIKOR), and aggregate method. Remote sensing and GIS approach were employed in the morphometric analysis. Percentage of changes and intensity of change indices were used in the MCDM model validation. Based on the range of Borda/Copland model values, the sub-watershed 11 took place at the first rank, while the Compound Factor (CF) model placed in the second rank, implying to be the most susceptible sub-watersheds for erosion. Vulnerability of sub-watersheds to soil loss (erosion), the VIKOR models showed four vulnerability classifications as very high, high, moderate and low. In conclusion, our results of the morphometric studies appeared to be effective in estimating the erosion status and prioritization of the watershed concerned for the purpose of easy and early development and management of natural resources. A high reductive accuracy was observed by VIKOR in comparison to CF and ELECTRE models.
•This study examines the links between information system (IS) capabilities and their effects on firm performance (FP).•Decision-making performance (DMP) and business-process performance (BPER) are ...used as mediating variables.•Structural equation modeling has been applied to a sample of 204 firms in Turkey.•DPER and BPER serially mediate the links between human resource and administrative-related IS capabilities, and FP relationships.•No support is found concerning the serial mediation effect between infrastructure-related IS capabilities and FP.
This study contributes to the extant literature on information management by investigating the interrelationships between information systems (IS)-related capabilities and their effects on firm performance. Using the resource-based view (RBV), a set of hypotheses is formulated to examine these links, considering the role that may be played by decision-making performance and business-process performance as mediating variables. Structural equation modeling (SEM) has been applied to a sample of 204 firms in Turkey. The test results obtained confirm the proposed serially mediating model according to which decision-making performance and business-process performance play a critical mediating role in the human resource and administrative-related IS capabilities, and firm-performance relationships. No support, however, has been found concerning the serial mediation effect between infrastructure-related IS capabilities and firm performance.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
This research demonstrates the utilization of spatial arrangement investigation methods for earthquake series generated along Chaman Fault in Balochistan region to put an effort to identify clusters, ...discover local and global spatial configurations for the incident of earthquakes occurred from 1900 to 2017 with geographical information system (GIS). The preferred method in this research was global Moran’s I, Getis–Ord Gi*, quadrant count analysis, Getis–Ord general G, kernel density estimation, average nearest neighbor, Anselin Local Moran’s I and geographical coverage of the data. Each method was executed in the GIS, so that calculations could be conceded out rapidly and proficiently. Outcomes exhibited that such methods are proficient of identifying clusters in the spatial configurations of earthquakes. Both local and global spatial statistics suggested that earthquakes are populated in the northern Balochistan where the Chaman Fault bends and have higher seismicity. This study also reveals that earthquakes with higher magnitudes are particularly intense in the north Balochistan region where earthquake activities are utmost active along Chaman Fault. Lastly this study also shows that earthquakes having moderate magnitudes were predominantly rigorous in southern Balochistan because the region is formed from continental rifting giving no recognizable spreading centers of earthquakes. We conclude from this research that the pattern investigation methods applied earthquake catalog in Balochistan province along Chaman fault could spot clusters from the events of earthquakes.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
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