keyword
https://read.qxmd.com/read/38535611/community-directed-vector-control-to-accelerate-onchocerciasis-elimination
#1
REVIEW
Benjamin Jacob, Edwin Michael, Thomas R Unnasch
Onchocerciasis, or river blindness, has historically been one of the most important causes of blindness worldwide, and a major cause of socio-economic disruption, particularly in sub-Saharan Africa. Its importance as a cause of morbidity and an impediment to economic development in some of the poorest countries in the world motivated the international community to implement several programs to control or eliminate this scourge. Initially, these involved reducing transmission of the causative agent Onchocerca volvulus through controlling the vector population...
March 21, 2024: Pathogens
https://read.qxmd.com/read/38535570/transcriptome-analyses-in-adult-olive-trees-indicate-acetaldehyde-release-and-cyanide-mediated-respiration-traits-as-critical-for-tolerance-against-xylella-fastidiosa-and-suggest-aox-gene-family-as-marker-for-multiple-resilience
#2
JOURNAL ARTICLE
Birgit Arnholdt-Schmitt, Debabrata Sircar, Shahid Aziz, Thais Andrade Germano, Karine Leitão Lima Thiers, Carlos Noceda, Revuru Bharadwaj, Gunasekaran Mohanapriya, José Hélio Costa
Xylella fastidiosa ( Xf ) is a global bacterial threat for a diversity of plants, including olive trees. However, current understanding of host responses upon Xf -infection is limited to allow early disease prediction, diagnosis, and sustainable strategies for breeding on plant tolerance. Recently, we identified a ma jor c omplex t rait for e arly d e novo programming, named CoV-MAC-TED , by comparing early transcriptome data during plant cell survival with SARS-CoV-2-infected human cells. This trait linked ROS/RNS balancing during first hours of stress perception with increased aerobic fermentation connected to alpha-tubulin-based cell restructuration and control of cell cycle progression...
March 5, 2024: Pathogens
https://read.qxmd.com/read/38533601/inside-out-synergising-leaf-biochemical-traits-with-stomatal-regulated-water-fluxes-to-enhance-transpiration-modelling-during-abiotic-stress
#3
JOURNAL ARTICLE
Robert S Caine, Muhammad S Khan, Robert A Brench, Heather J Walker, Holly L Croft
As the global climate continues to change, plants will increasingly experience abiotic stress(es). Stomata on leaf surfaces are the gatekeepers to plant interiors, regulating gaseous exchanges that are crucial for both photosynthesis and outward water release. To optimise future crop productivity, accurate modelling of how stomata govern plant-environment interactions will be crucial. Here, we synergise optical and thermal imaging data to improve modelled transpiration estimates during water and/or nutrient stress (where leaf N is reduced)...
March 27, 2024: Plant, Cell & Environment
https://read.qxmd.com/read/38533030/systemic-design-of-the-very-high-resolution-imaging-payload-of-an-optical-remote-sensing-satellite-for-launch-into-the-vleo-using-an-small-launch-vehicle
#4
JOURNAL ARTICLE
Mojtaba Abolghasemi Najafabadi, Iman Kazemi
The very low Earth orbit (VLEO), which includes orbits with altitudes of 100-450 km, has distinct advantages for remote-sensing spacecraft. Lower altitudes allow payloads with smaller dimensions, weight, and power to achieve performances similar to or better than larger payloads in higher orbits in remote sensing and Earth observation missions. The most important advantage of low orbits for optical imaging systems is the higher resolution these payloads can attain. The present paper systemically designs the very high-resolution imaging payload of an optical remote sensing satellite for operations in the VLEO...
March 30, 2024: Heliyon
https://read.qxmd.com/read/38531447/towards-interpretable-machine-learning-for-observational-quantification-of-soil-heavy-metal-concentrations-under-environmental-constraints
#5
JOURNAL ARTICLE
Yishan Sun, Shuisen Chen, Hao Jiang, Boxiong Qin, Dan Li, Kai Jia, Chongyang Wang
Monitoring heavy metal concentrations in soils is central to assessing agricultural production safety. Satellite observations permit inferring concentrations from spectrum, thereby contributing to the prevention and control of soil heavy metal pollution. However, heavy metals exhibit weak spectral responses, particularly at low and medium concentrations, and are predominantly influenced by other soil components. Machine learning (ML)-driven modelling can produce predictions but lacks interpretability. Here, we present an interpretable ML framework for concentration quantification modelling and investigated the contributions of spectral and environmental factors-pH and organic carbon-to the estimation of metals with multiple concentration gradients, as analysed through SHAP (SHapley Additive exPlanations) data derived from four learning-based scenarios...
March 24, 2024: Science of the Total Environment
https://read.qxmd.com/read/38528747/neural-networks-based-on-synthesized-training-data-for-the-automated-detection-of-chemical-plumes-in-passive-infrared-multispectral-images
#6
JOURNAL ARTICLE
Zizi Chen, Gary W Small
Automated detection of volatile organic compounds in the atmosphere can be achieved by applying pattern recognition analysis to passive infrared (IR) multispectral remote sensing data. However, obtaining analyte-active training data through field experiments is time-consuming and expensive. To address this issue, methodology has been developed for simulating radiance profiles acquired using a multispectral IR line-scanner mounted in a downward-looking position on a fixed-wing aircraft. The simulation strategy used Planck's radiation law and a radiometric model along with the laboratory spectrum of the target compound to compute the upwelling IR background radiance with the presence of the analyte within the instrumental field-of-view...
March 25, 2024: Applied Spectroscopy
https://read.qxmd.com/read/38528086/field-scale-crop-water-consumption-estimates-reveal-potential-water-savings-in-california-agriculture
#7
JOURNAL ARTICLE
Anna Boser, Kelly Caylor, Ashley Larsen, Madeleine Pascolini-Campbell, John T Reager, Tamma Carleton
Efficiently managing agricultural irrigation is vital for food security today and into the future under climate change. Yet, evaluating agriculture's hydrological impacts and strategies to reduce them remains challenging due to a lack of field-scale data on crop water consumption. Here, we develop a method to fill this gap using remote sensing and machine learning, and leverage it to assess water saving strategies in California's Central Valley. We find that switching to lower water intensity crops can reduce consumption by up to 93%, but this requires adopting uncommon crop types...
March 25, 2024: Nature Communications
https://read.qxmd.com/read/38528045/goa-optimized-deep-learning-for-soybean-yield-estimation-using-multi-source-remote-sensing-data
#8
JOURNAL ARTICLE
Jian Lu, Hongkun Fu, Xuhui Tang, Zhao Liu, Jujian Huang, Wenlong Zou, Hui Chen, Yue Sun, Xiangyu Ning, Jian Li
Accurately estimating large-area crop yields, especially for soybeans, is essential for addressing global food security challenges. This study introduces a deep learning framework that focuses on precise county-level soybean yield estimation in the United States. It utilizes a wide range of multi-variable remote sensing data. The model used in this study is a state-of-the-art CNN-BiGRU model, which is enhanced by the GOA and a novel attention mechanism (GCBA). This model excels in handling intricate time series and diverse remote sensing datasets...
March 26, 2024: Scientific Reports
https://read.qxmd.com/read/38528024/understanding-flash-flooding-in-the-himalayan-region-a-case-study
#9
JOURNAL ARTICLE
Katukotta Nagamani, Anoop Kumar Mishra, Mohammad Suhail Meer, Jayanta Das
The Himalayan region, characterized by its substantial topographical scale and elevation, exhibits vulnerability to flash floods and landslides induced by natural and anthropogenic influences. The study focuses on the Himalayan region, emphasizing the pivotal role of geographical and atmospheric parameters in flash flood occurrences. Specifically, the investigation delves into the intricate interactions between atmospheric and surface parameters to elucidate their collective contribution to flash flooding within the Nainital region of Uttarakhand in the Himalayan terrain...
March 25, 2024: Scientific Reports
https://read.qxmd.com/read/38527208/arctic-amplification-induced-decline-in-west-and-south-asia-dust-warrants-stronger-antidesertification-toward-carbon-neutrality
#10
JOURNAL ARTICLE
Fan Wang, Yangyang Xu, Piyushkumar N Patel, Ritesh Gautam, Meng Gao, Cheng Liu, Yihui Ding, Haishan Chen, Yuanjian Yang, Yuyu Zhou, Gregory R Carmichael, Michael B McElroy
Dust loading in West and South Asia has been a major environmental issue due to its negative effects on air quality, food security, energy supply and public health, as well as on regional and global weather and climate. Yet a robust understanding of its recent changes and future projection remains unclear. On the basis of several high-quality remote sensing products, we detect a consistently decreasing trend of dust loading in West and South Asia over the last two decades. In contrast to previous studies emphasizing the role of local land use changes, here, we attribute the regional dust decline to the continuous intensification of Arctic amplification driven by anthropogenic global warming...
April 2, 2024: Proceedings of the National Academy of Sciences of the United States of America
https://read.qxmd.com/read/38527178/relationship-between-tectonic-lineaments-and-springs-north-of-avanos-central-anatolia-turkey
#11
JOURNAL ARTICLE
Ramazan Demircioğlu
The study area covers Avanos-Ozkonak and its surroundings north of Nevsehir province. An attempt was made to determine the relationship between tectonic lineaments and springs in the area. It was found that there is a close relationship between the location of springs and tectonic lineaments. In recent years, lineaments have been used in mineral exploration studies and geothermal areas. Remote sensing methods have also been used in this study. The relationship between tectonic lineaments (faults and fractures) and spring formations obtained from field studies and satellite-based studies was evaluated...
March 25, 2024: Ground Water
https://read.qxmd.com/read/38527020/uv-reflectance-in-crop-remote-sensing-assessing-the-current-state-of-knowledge-and-extending-research-with-strawberry-cultivars
#12
JOURNAL ARTICLE
Megan Heath, David St-Onge, Robert Hausler
Remote sensing of spectral reflectance is a crucial parameter in precision agriculture. In particular, the visual color produced from reflected light can be used to determine plant health (VIS-IR) or attract pollinators (Near-UV). However, the UV spectral reflectance studies largely focus on non-crop plants, even though they provide essential information for plant-pollinator interactions. This literature review presents an overview of UV-reflectance in crops, identifies gaps in the literature, and contributes new data based on strawberry cultivars...
2024: PloS One
https://read.qxmd.com/read/38525140/sugarcane-breeding-a-fantastic-past-and-promising-future-driven-by-technology-and-methods
#13
JOURNAL ARTICLE
Guilong Lu, Purui Liu, Qibin Wu, Shuzhen Zhang, Peifang Zhao, Yuebin Zhang, Youxiong Que
Sugarcane is the most important sugar and energy crop in the world. During sugarcane breeding, technology is the requirement and methods are the means. As we know, seed is the cornerstone of the development of the sugarcane industry. Over the past century, with the advancement of technology and the expansion of methods, sugarcane breeding has continued to improve, and sugarcane production has realized a leaping growth, providing a large amount of essential sugar and clean energy for the long-term mankind development, especially in the face of the future threats of world population explosion, reduction of available arable land, and various biotic and abiotic stresses...
2024: Frontiers in Plant Science
https://read.qxmd.com/read/38524545/mapping-specific-groundwater-nitrate-concentrations-from-spatial-data-using-machine-learning-a-case-study-of-chongqing-china
#14
JOURNAL ARTICLE
Yuanyi Liang, Xingjun Zhang, Lin Gan, Si Chen, Shandao Zhao, Jihui Ding, Wulue Kang, Han Yang
Groundwater resources is not only important essential water resources but also imperative connectors within the intricate framework of the ecological environment. High nitrate concentrations in groundwater can exerting adverse impacts on human health. It is imperative to accurately delineate the distribution characteristics of groundwater nitrate concentrations. Four different machine learning models (Gradient Boosting Regression (GB), Random Forest Regression (RF), Extreme Gradient Boosting Regression (XG) and Adaptive Boosting Regression (AD)) which combine spatial environmental data and different radius contributing area was developed to predict the distribution of nitrate concentration in groundwater...
March 30, 2024: Heliyon
https://read.qxmd.com/read/38523106/assessment-of-land-use-change-of-ecological-green-wedge-and-cooling-island-effect-a-case-study-of-wuhan-china
#15
JOURNAL ARTICLE
Hui-Min Liu, Wen-Qi Qian, Lu-Jia Tang, Yi-Han Wu, Jia-Ying Zeng
The construction of urban ecological green wedges, which can mitigate the heat island effect through cooling and ventilation effects, is an important way to enhance the adaptation of cities to climate change. Dynamic monitoring and periodic assessment of both the conservation status and cooling effect of ecological green wedges is a key to ensure the heat mitigation benefits. Based on multi-source remote sensing data, we systematically analyzed the land use changes of six ecological green wedges in Wuhan in 2013 and 2020 using the methods of Markov transfer matrix, land use dynamics, and comprehensive index of land use degree, and evaluated the changes in surface temperature of the ecological green wedges and their cooling island effect...
February 2024: Ying Yong Sheng Tai Xue Bao, the Journal of Applied Ecology
https://read.qxmd.com/read/38522221/sstu-swin-spectral-transformer-u-net-for-hyperspectral-whole-slide-image-reconstruction
#16
JOURNAL ARTICLE
Yukun Wang, Yanfeng Gu, Abiyasi Nanding
Whole Slide Imaging and Hyperspectral Microscopic Imaging provide great quality data with high spatial and spectral resolution for histopathology. Existing Hyperspectral Whole Slide Imaging systems combine the advantages of the techniques above, thus providing rich information for pathological diagnosis. However, it cannot avoid the problems of slow acquisition speed and mass data storage demand. Inspired by the spectral reconstruction task in computer vision and remote sensing, the Swin-Spectral Transformer U-Net (SSTU) has been developed to reconstruct Hyperspectral Whole Slide images (HWSis) from multiple Hyperspectral Microscopic images (HMis) of small Field of View and Whole Slide images (WSis)...
March 16, 2024: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://read.qxmd.com/read/38521920/improving-the-prediction-performance-of-leaf-water-content-by-coupling-multi-source-data-with-machine-learning-in-rice-oryza-sativa-l
#17
JOURNAL ARTICLE
Xuenan Zhang, Haocong Xu, Yehong She, Chao Hu, Tiezhong Zhu, Lele Wang, Liquan Wu, Cuicui You, Jian Ke, Qiangqiang Zhang, Haibing He
BACKGROUND: Leaf water content (LWC) significantly affects rice growth and development. Real-time monitoring of rice leaf water status is essential to obtain high yield and water use efficiency of rice plants with precise irrigation regimes in rice fields. Hyperspectral remote sensing technology is widely used in monitoring crop water status because of its rapid, nondestructive, and real-time characteristics. Recently, multi-source data have been attempted to integrate into a monitored model of crop water status based on spectral indices...
March 23, 2024: Plant Methods
https://read.qxmd.com/read/38521843/mangrove-mapping-and-monitoring-using-remote-sensing-techniques-towards-climate-change-resilience
#18
JOURNAL ARTICLE
Reshma Sunkur, Komali Kantamaneni, Chandradeo Bokhoree, Upaka Rathnayake, Michael Fernando
Mangroves are amongst the richest ecosystems in the world providing valuable goods and services to millions of people while enhancing the resilience of coastal communities against climate change induced hazards, especially island nations. However, these mangroves are severely affected by many anthropogenic activities. Therefore, understanding the spatial variability of mangroves in island nations is highly essential in the events of ongoing climatic change. Thus, this study assessed the use of remote sensing techniques and GIS to map and monitor mangrove cover change at selected sites, namely Le Morne and Ferney, on the tropical island of Mauritius...
March 23, 2024: Scientific Reports
https://read.qxmd.com/read/38520999/satellite-based-estimation-of-total-suspended-solids-and-chlorophyll-a-concentrations-for-the-gold-coast-broadwater-australia
#19
JOURNAL ARTICLE
Edoardo Bertone, Andrea Ajmar, Fabio Giulio Tonolo, Ryan J K Dunn, Nicholas J C Doriean, William W Bennett, Jemma Purandare
Satellite retrieval of total suspended solids (TSS) and chlorophyll-a (chl-a) was performed for the Gold Coast Broadwater, a micro-tidal estuarine lagoon draining a highly developed urban catchment area with complex and competing land uses. Due to the different water quality properties of the rivers and creeks draining into the Broadwater, sampling sites were grouped in clusters, with cluster-specific empirical/semi-empirical prediction models developed and validated with a leave-one-out cross validation approach for robustness...
March 22, 2024: Marine Pollution Bulletin
https://read.qxmd.com/read/38518415/urban-and-agricultural-land-use-led-to-niche-differentiation-of-aoa-aob-and-comammox-along-the-beiyun-river-continuum
#20
JOURNAL ARTICLE
Qiuyang Tan, Haoming Wu, Lei Zheng, Xue Wang, Yuzi Xing, Qi Tian, Yaoxin Zhang
River ecological health has been severely threatened by anthropogenic land-use pressures. Here, by combining remote sensing and molecular biology methods, we evaluated the impact of land-use activities on nitrification, a fundamental ecological process in rivers, which is conducted by ammonia-oxidising archaea (AOA) and ammonia-oxidising bacteria (AOB), or the newly discovered complete ammonia oxidisers (comammox). We explored the relationships of the abundance, activity, and diversity of AOA, AOB, and comammox in river sediments with land-use pressure by proposing a quantitative land use pattern index (LPI) over a 184 km continuum along the Beiyun River in North China...
March 16, 2024: Water Research
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