In this paper GeoAI is introduced as an emergent spatial analytical framework for data-intensive GIScience. As the new fuel of geospatial research, GeoAI leverages recent breakthroughs in machine ...learning and advanced computing to achieve scalable processing and intelligent analysis of geospatial big data. The three-pillar view of GeoAI, its two methodological threads (data-driven and knowledge-driven), as well as their geospatial applications are highlighted. The paper concludes with discussion of remaining challenges and future research directions of GeoAI.
Terrain feature detection is a fundamental task in terrain analysis and landscape scene interpretation. Discovering where a specific feature (i.e. sand dune, crater, etc.) is located and how it ...evolves over time is essential for understanding landform processes and their impacts on the environment, ecosystem, and human population. Traditional induction-based approaches are challenged by their inefficiency for generalizing diverse and complex terrain features as well as their performance for scalable processing of the massive geospatial data available. This paper presents a new deep learning (DL) approach to support automatic detection of terrain features from remotely sensed images. The novelty of this work lies in: (1) a terrain feature database containing 12,000 remotely sensed images (1,000 original images and 11,000 derived images from data augmentation) that supports data-driven model training and new discovery; (2) a DL-based object detection network empowered by ensemble learning and deep and deeper convolutional neural networks to achieve high-accuracy object detection; and (3) fine-tuning the model's characteristics and behaviors to identify the best combination of hyperparameters and other network factors. The introduction of DL into geospatial applications is expected to contribute significantly to intelligent terrain analysis, landscape scene interpretation, and the maturation of spatial data science.
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BFBNIB, DOBA, GIS, IJS, IZUM, KILJ, KISLJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
The ca. 300 Ma Fengcheng Formation in the Junggar Basin of NW China is reported to develop a rare alkaline lake (soda lake) in this study, based on an expanded literature survey and new insights from ...geological and geochemical data. The development of this ancient alkaline lake resulted from a convergence of favorable paleotectonic, paleogeographic, and paleoclimatic conditions. A detailed characterization of the alkaline lake includes evidence for a pH of >9.0 indicated by δ15N data (average 18.4‰); the presence of alkali minerals such as trona and shortite; globular bacteria-like fossils; low contents of clay minerals; organic and inorganic geochemistry indicating high salinity, strongly reducing conditions, and hydrothermal activity; and a complete sedimentary evolution sequence of an archetypal alkaline lake.
The studied lake deposit is presented as the first such deposit worldwide to generate a large oil reserve, thus allowing scientific insights to be gained into the controls on hydrocarbon generation in alkaline lakes. The alkaline lacustrine source rocks have high contents of organic matter, favorable organic matter type, abundant oil and poor natural gas, multiple phases of hydrocarbon generation, and high hydrocarbon volumes.
The genesis and development of this alkaline lake were controlled jointly by evaporation and volcanic–hydrothermal activity. However, some aspects of this type of lake remain unclear, and future work should explore the integrated evolution of biological–climatic–petroleum-geology systems with respect to alkaline lakes and their associated deposits, and their coupling research with worldwide event then, namely, Glacial episode III of the Late Paleozoic Gondwanan glaciation. Our data suggest that the Fengcheng Formation is a well-preserved archive of Late Paleozoic Ice Age (LPIA) geology and geochemistry around 300 Ma.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Developing low-cost, high-performance electrocatalysts for the hydrogen evolution reaction (HER) is essential for producing hydrogen from renewable energy sources. Herein, we report phosphated IrMo ...bimetallic clusters supported by macroporous nitrogen-doped carbon (IrMoP/MNC) as a highly efficient alkaline HER catalyst. The experimental and theoretical results demonstrate that P and Mo synergistically tune the electronic structure of atomically dispersed Ir to improve adsorption of the reactant H2O and desorption of the product OH−. P itself serves as an active site and cooperates with the nearby Ir atom to significantly enhance the HER kinetics. Even with only 2.6 wt% Ir in the catalyst, IrMoP/MNC exhibits an ultralow overpotential of 14 mV at 10 mA cm−2, as well as an unprecedented high mass activity of 18.58 A mgIr−1 at an overpotential of 100 mV, superior to commercial Pt/C and overwhelmingly better than other Ir-based electrocatalysts. This study demonstrates a multi-level design strategy to effectively improve the atom efficiency of a noble metal, involving spatial geometry, local electronic structure, and dual-atom synergy.
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•Phosphated IrMo clusters with high noble metal utilization are synthesized as an electrocatalyst for the alkaline hydrogen evolution reaction.•Phosphorus optimizes the electronic structure of Ir and synergistically decomposes water molecules with Ir to enhance the HER kinetics.•Macroporous carbon-supported IrMoP clusters exhibit an ultralow overpotential and high mass activity for the alkaline HER.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Recently, the US Food and Drug Administration (FDA) approved the first chimeric antigen receptor T cell (CAR-T) therapy for the treatment CD19-positive B cell acute lymphoblastic leukemia. While ...CAR-T has achieved remarkable success in the treatment of hematopoietic malignancies, whether it can benefit solid tumor patients to the same extent is still uncertain. Even though hundreds of clinical trials are undergoing exploring a variety of tumor-associated antigens (TAA), no such antigen with comparable properties like CD19 has yet been identified regarding solid tumors CAR-T immunotherapy. Inefficient T cell trafficking, immunosuppressive tumor microenvironment, suboptimal antigen recognition specificity, and lack of safety control are currently considered as the main obstacles in solid tumor CAR-T therapy. Here, we reviewed the solid tumor CAR-T clinical trials, emphasizing the studies with published results. We further discussed the challenges that CAR-T is facing for solid tumor treatment and proposed potential strategies to improve the efficacy of CAR-T as promising immunotherapy.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
•Review the historical research progress on permafrost degradation from 1990-2022.•Assess the cascading effects of permafrost degradation from three topics.•The never-monitored permafrost areas in ...the Northern Hemisphere account for 7%.•Monitor permafrost degradation at point, slope, watershed, and global scales.
Permafrost degradation alters the flow rate, direction, and storage capacity of soil moisture, affecting ecohydrological effects and climate systems, and posing a potential threat to natural and human systems. The most widely distributed permafrost regions are coastal, high-latitudes and high-altitudes (mainly by the Qinghai-Tibet Plateau). Past studies have demonstrated that permafrost degradation in these regions lacks sorting out regional driving factors, assessing cascading effects on the hydrological environment and monitoring methods. To address this, we reviewed the historical research situation and major topics of permafrost degradation from 1990 to 2022. We analyzed the spatio-temporal dynamics and driving mechanism of permafrost degradation. Then, we comprehensively discussed the effects of permafrost degradation on the soil physical structure and hydraulic properties, soil microorganisms and local vegetation, soil evapotranspiration and stream runoff, and integrated ecohydrological effects. Permafrost field site data were then collected from existing findings and methods for direct or indirect monitoring of permafrost changes at different scales. These results revealed that the research on the hydrological effects of permafrost change was mainly centered on the soil. In addition, regional environmental factors driving permafrost degradation were inconsistent mainly in coastal regions influenced by sea level, high-latitude regions influenced by lightning and wildfire, and high-altitude regions influenced by topography. Permafrost degradation promoted horizontal and/or vertical hydrological connectivity, threatening the succession of high latitude vegetation communities and the transition from high altitude grassland to desert ecosystems, causing regional water imbalances would mitigate or amplify the ability of integrated ecohydrological benefits to cope with climate warming. The never-monitored permafrost area was 1.55×106 km2, but the limitations of using data for the same period remained a challenging task for soil moisture monitoring. Finally, future research should enhance the observation of driving factors at the monitoring site and combine remote sensing data, model simulations or numerical simulations, and isotope tracers to predict the future degradation state of deep permafrost effectively. It is expected that this review will guide further quantifying the driving mechanisms of permafrost degradation and the resulting cascading effects.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Inherited mutations in the rod visual pigment, rhodopsin, cause the degenerative blinding condition, retinitis pigmentosa (RP). Over 150 different mutations in rhodopsin have been identified and, ...collectively, they are the most common cause of autosomal dominant RP (adRP). Mutations in rhodopsin are also associated with dominant congenital stationary night blindness (adCSNB) and, less frequently, recessive RP (arRP). Recessive RP is usually associated with loss of rhodopsin function, whereas the dominant conditions are a consequence of gain of function and/or dominant negative activity. The in-depth characterisation of many rhodopsin mutations has revealed that there are distinct consequences on the protein structure and function associated with different mutations. Here we categorise rhodopsin mutations into seven discrete classes; with defects ranging from misfolding and disruption of proteostasis, through mislocalisation and disrupted intracellular traffic to instability and altered function. Rhodopsin adRP offers a unique paradigm to understand how disturbances in photoreceptor homeostasis can lead to neuronal cell death. Furthermore, a wide range of therapies have been tested in rhodopsin RP, from gene therapy and gene editing to pharmacological interventions. The understanding of the disease mechanisms associated with rhodopsin RP and the development of targeted therapies offer the potential of treatment for this currently untreatable neurodegeneration.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
•A data-driven approach to construct gazetteers from volunteered geographic information was introduced.•We built a high-performance Hadoop-based geoprocessing platform to facilitate gazetteer ...research.•It connects spatial analysis to the cloud computing environment for Big Geo-Data analytics.
Traditional gazetteers are built and maintained by authoritative mapping agencies. In the age of Big Data, it is possible to construct gazetteers in a data-driven approach by mining rich volunteered geographic information (VGI) from the Web. In this research, we build a scalable distributed platform and a high-performance geoprocessing workflow based on the Hadoop ecosystem to harvest crowd-sourced gazetteer entries. Using experiments based on geotagged datasets in Flickr, we find that the MapReduce-based workflow running on the spatially enabled Hadoop cluster can reduce the processing time compared with traditional desktop-based operations by an order of magnitude. We demonstrate how to use such a novel spatial-computing infrastructure to facilitate gazetteer research. In addition, we introduce a provenance-based trust model for quality assurance. This work offers new insights on enriching future gazetteers with the use of Hadoop clusters, and makes contributions in connecting GIS to the cloud computing environment for the next frontier of Big Geo-Data analytics.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
The application of cellulose nanocrystal (CNC) is limited by the rich hydroxyl groups on its surface. It can be promoted by acetylation. The degree of acetyl substitution of CNC is a key index to ...evaluate its performance. In this paper, a series of acetylated CNC with different degrees of substitution (DS) were prepared by acetylation with acetic anhydride and were analyzed by means of Fourier transform infrared spectroscopy (FTIR). The absorbance ratio (
A
R
) of the band at ~ 1745 cm
−1
to the one at 1164 cm
−1
was applied to determine the DS. An excellent linear relationship with a correlation coefficient
R
2
≥
0.994
between
A
R
and the referenced DS from
1
H NMR was established. The regression equations, both based on band area ratio and band height ratio, can be directly applied to any FTIR instruments. The proposed method is simple, rapid and universal and can also be applied to determine the DS of any other cellulose derivatives.
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DOBA, EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, IZUM, KILJ, KISLJ, MFDPS, NLZOH, NUK, OBVAL, OILJ, PILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, SIK, UILJ, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
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