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result(s) for
"Johnson, Brian"
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Land-Use and Land-Cover Classification in Semi-Arid Areas from Medium-Resolution Remote-Sensing Imagery: A Deep Learning Approach
2022
Detailed Land-Use and Land-Cover (LULC) information is of pivotal importance in, e.g., urban/rural planning, disaster management, and climate change adaptation. Recently, Deep Learning (DL) has emerged as a paradigm shift for LULC classification. To date, little research has focused on using DL methods for LULC mapping in semi-arid regions, and none that we are aware of have compared the use of different Sentinel-2 image band combinations for mapping LULC in semi-arid landscapes with deep Convolutional Neural Network (CNN) models. Sentinel-2 multispectral image bands have varying spatial resolutions, and there is often high spectral similarity of different LULC features in semi-arid regions; therefore, selection of suitable Sentinel-2 bands could be an important factor for LULC mapping in these areas. Our study contributes to the remote sensing literature by testing different Sentinel-2 bands, as well as the transferability of well-optimized CNNs, for semi-arid LULC classification in semi-arid regions. We first trained a CNN model in one semi-arid study site (Gujranwala city, Gujranwala Saddar and Wazirabadtownships, Pakistan), and then applied the pre-trained model to map LULC in two additional semi-arid study sites (Lahore and Faisalabad city, Pakistan). Two different composite images were compared: (i) a four-band composite with 10 m spatial resolution image bands (Near-Infrared (NIR), green, blue, and red bands), and (ii) a ten-band composite made by adding two Short Wave Infrared (SWIR) bands and four vegetation red-edge bands to the four-band composite. Experimental results corroborate the validity of the proposed CNN architecture. Notably, the four-band CNN model has shown robustness in semi-arid regions, where spatially and spectrally confusing land-covers are present.
Journal Article
Selective oxidation with dioxygen by gold nanoparticle catalysts derived from 55-atom clusters
by
Vaughan, Owain P. H.
,
Berenguer-Murcia, Angel
,
Golovko, Vladimir B.
in
Analysis
,
Atoms & subatomic particles
,
Carbon dioxide
2008
Supported gold nanoparticles have excited much interest owing to their unusual and somewhat unexpected catalytic properties
1
,
2
,
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,
4
,
5
,
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,
7
, but the origin of the catalytic activity is still not fully understood. Experimental work
4
on gold particles supported on a titanium dioxide (110) single-crystal surface has established a striking size threshold effect associated with a metal-to-insulator transition, with gold particles catalytically active only if their diameters fall below ∼3.5 nm. However, the remarkable catalytic behaviour might also in part arise from strong electronic interaction between the gold and the titanium dioxide support
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,
3
,
5
. In the case of industrially important selective oxidation reactions, explanation of the effectiveness of gold nanoparticle catalysts is complicated by the need for additives to drive the reaction
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,
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,
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, and/or the presence of strong support interactions and incomplete understanding of their possible catalytic role
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,
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. Here we show that very small gold entities (∼1.4 nm) derived from 55-atom gold clusters and supported on inert materials are efficient and robust catalysts for the selective oxidation of styrene by dioxygen. We find a sharp size threshold in catalytic activity, in that particles with diameters of ∼2 nm and above are completely inactive. Our observations suggest that catalytic activity arises from the altered electronic structure intrinsic to small gold nanoparticles, and that the use of 55-atom gold clusters may prove a viable route to the synthesis of robust gold catalysts suited to practical application.
Journal Article
Reel big bullies : teaching to the problem
\"Talk with students about bullying in their schools/communities and three themes are likely to emerge: a) there's nothing anyone can do about it, b) bullying is necessary as it builds character, and c) there needs to be more educational programming in the schools designed to curb bullying behavior. Contrast those sentiments with the helplessness teachers and administrators feel. Many will tell you that current state and federal guidelines tie their hands until after an incident occurs. In other words, a student must get hurt before the school is able to do anything. Reel Big Bullies: Teaching to the Problem is designed for regular anti-bullying campaigns and will not cost struggling districts thousands of dollars to implement as it provides teachers with educational resources to complement regular instruction in classrooms. Using clips from Hollywood blockbusters like Knocked Up, The Emperor's New Groove, The Benchwarmers and others, Reel Big Bullies: Teaching to the Problem is designed to help students, administrators, teachers and counselors create a safer school environment for all students. It is also intended to help all students understand the terrible toll bullying can take on its targets, and to encourage students to stand up for their classmates who are being bullied. The book's framework follows the three themes above and discusses the pertinent legal and policy decisions affecting educational intervention. With the already busy (overwhelmed) teacher in mind, we describe nearly 200 film clips teachers can show in class to promote and spark discussions with students in middle and high schools\"-- Provided by publisher.
Division of labor in honeybees: form, function, and proximate mechanisms
2010
Honeybees exhibit two patterns of organization of work. In the spring and summer, division of labor is used to maximize growth rate and resource accumulation, while during the winter, worker survivorship through the poor season is paramount, and bees become generalists. This work proposes new organismal and proximate level conceptual models for these phenomena. The first half of the paper presents a push-pull model for temporal polyethism. Members of the nursing caste are proposed to be pushed from their caste by the development of workers behind them in the temporal caste sequence, while middle-aged bees are pulled from their caste via interactions with the caste ahead of them. The model is, hence, an amalgamation of previous models, in particular, the social inhibition and foraging for work models. The second half of the paper presents a model for the proximate basis of temporal polyethism. Temporal castes exhibit specialized physiology and switch caste when it is adaptive at the colony level. The model proposes that caste-specific physiology is dependent on mutually reinforcing positive feedback mechanisms that lock a bee into a particular behavioral phase. Releasing mechanisms that relate colony level information are then hypothesized to disrupt particular components of the priming mechanisms to trigger endocrinological cascades that lead to the next temporal caste. Priming and releasing mechanisms for the nursing caste are mapped out that are consistent with current experimental results. Less information-rich, but plausible, mechanisms for the middle-aged and foraging castes are also presented.
Journal Article
Transformers for Remote Sensing: A Systematic Review and Analysis
2024
Research on transformers in remote sensing (RS), which started to increase after 2021, is facing the problem of a relative lack of review. To understand the trends of transformers in RS, we undertook a quantitative analysis of the major research on transformers over the past two years by dividing the application of transformers into eight domains: land use/land cover (LULC) classification, segmentation, fusion, change detection, object detection, object recognition, registration, and others. Quantitative results show that transformers achieve a higher accuracy in LULC classification and fusion, with more stable performance in segmentation and object detection. Combining the analysis results on LULC classification and segmentation, we have found that transformers need more parameters than convolutional neural networks (CNNs). Additionally, further research is also needed regarding inference speed to improve transformers’ performance. It was determined that the most common application scenes for transformers in our database are urban, farmland, and water bodies. We also found that transformers are employed in the natural sciences such as agriculture and environmental protection rather than the humanities or economics. Finally, this work summarizes the analysis results of transformers in remote sensing obtained during the research process and provides a perspective on future directions of development.
Journal Article
Star Wars, the last Jedi
by
Schaefer, Elizabeth (Adaptor), author
,
Rood, Brian, 1975- illustrator
,
Johnson, Rian
in
Skywalker, Luke (Fictitious character) Juvenile fiction.
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Organa, Leia (Fictitious character) Juvenile fiction.
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Adventure and adventurers Fiction.
2018
Rey travels across the galaxy to the distant planet Ahch-To in search of the missing Jedi, Luke Skywalker.
Spatiotemporal pattern of global forest change over the past 60 years and the forest transition theory
by
Myint, Soe W
,
Estoque, Ronald C
,
Lasco, Rodel D
in
Biodiversity
,
Biodiversity loss
,
Climate change
2022
Forest ecosystems play an indispensable role in addressing various pressing sustainability and social-ecological challenges such as climate change and biodiversity loss. However, global forest loss has been, and still is today, an important issue. Here, based on spatially explicit data, we show that over the past 60 years (1960–2019), the global forest area has declined by 81.7 million ha (i.e. 10% more than the size of the entire Borneo island), with forest loss (437.3 million ha) outweighing forest gain (355.6 million ha). With this forest decline and the population increase (4.68 billion) over the period, the global forest per capita has decreased by over 60%, from 1.4 ha in 1960 to 0.5 ha in 2019. The spatiotemporal pattern of forest change supports the forest transition theory, with forest losses occurring primarily in the lower income countries in the tropics and forest gains in the higher income countries in the extratropics. Furthermore, economic growth has a stronger association with net forest gain than with net forest loss. Our results highlight the need to strengthen the support given to lower income countries, especially in the tropics, to help improve their capacity to minimize or end their forest losses. To help address the displacement of forest losses to the lower income countries in the tropics, higher income nations need to reduce their dependence on imported tropical forest products.
Journal Article