A5035581445- Urban Heat Island Mitigation
- Urban Green Space and Health
- Building Energy and Comfort Optimization
- Remote Sensing and Land Use
- Advanced Radiotherapy Techniques
- Impact of Light on Environment and Health
- Radiation Therapy and Dosimetry
- Remote Sensing and LiDAR Applications
- Effects of Radiation Exposure
- Land Use and Ecosystem Services
- Fetal and Pediatric Neurological Disorders
- Software Testing and Debugging Techniques
- Medical Imaging and Analysis
- Youth Development and Social Support
- Cognitive Science and Mapping
- Image Processing and 3D Reconstruction
- Cryospheric studies and observations
- Environmental Sustainability in Business
- Advanced Image Fusion Techniques
- Software Engineering Research
- Maritime Transport Emissions and Efficiency
- Image Processing Techniques and Applications
- Cell Image Analysis Techniques
- Noise Effects and Management
- Toxic Organic Pollutants Impact
University of California, San Francisco
2024
Yancheng Third People's Hospital
2024
Nanjing University of Posts and Telecommunications
2023-2024
Aerospace Information Research Institute
2024
Chinese Academy of Sciences
2024
State Key Laboratory of Remote Sensing Science
2024
Nanjing University
2013-2023
University of California, Los Angeles
2022-2023
Shanghai Open University
2022
Shanghai Advanced Research Institute
2018
Abstract Long‐term and fine‐scale monitoring of surface urban heat island (SUHI) is critical for the design mitigation strategies. Landsat series offer long‐term (since 1980s) land temperature (LST) observations such SUHI analysis. However, data are characterized by a long revisit period (16 days) seriously impacted cloud contamination stripe gaps, making Landsat‐derived trends across cities incomparable. To address this issue, here we applied Prophet model to reconstruct temporally...
UAV thermal infrared remote sensing technology, with its high flexibility and temporal spatial resolution, is crucial for understanding surface microthermal environments. Despite DJI Drones' industry-leading position, the JPG format of their images limits direct image stitching further analysis, hindering broad application. To address this, a conversion system, ThermoSwitcher, was developed images, this system applied to environment taking two regions various local zones in Nanjing as...
Thermal remote sensing is an effective technique for marine oil slick detection. However, many factors, such as the type, thickness, sensor capability, and background environment, can together have impact on remotely sensed thermal imagery. These cross-coupling effects usually be clarified by ground-based experiments. In this letter, four different types of slicks water bodies were prepared their brightness temperatures (BTs) measured periodically in outdoor experiment. The results indicated...
Surface urban heat islands (SUHIs) are essential for evaluating thermal environments. However, current quantitative studies of SUHIs ignore the radiation directionality (TRD), which directly affects study precision; furthermore, they fail to assess effects TRD characteristics at different land-use intensities, on SUHIs. To bridge this research gap, eliminates interference atmospheric attenuation and daily temperature variation factors, in quantifying based land surface (LST), from MODIS data...
Abstract Background Small animal irradiation is essential to study the radiation response of new interventions before or parallel human therapy. Image‐guided radiotherapy (IGRT) and intensity‐modulated (IMRT) are recently adopted in small more closely mimic treatments. However, sophisticated techniques require exceedingly high time, resources, expertize that often impractical. Purpose We propose a throughput precision platform named Multiple Mouse Automated Treatment Environment (Multi‐MATE)...
Total marrow irradiation (TMI) has significantly improved radiation conditioning for hematopoietic cell transplantation in hematologic diseases by reducing conditioning-induced toxicities and improving survival outcomes relapsed/refractory patients. Recently, preclinical three-dimensional image–guided TMI been developed to enhance mechanistic understanding of the role support development experimental therapeutics. However, a dosimetric comparison between clinical reveals that treatment lacks...
Objective.Intensity-modulated radiotherapy (IMRT) is widely used in clinical radiotherapy, treating varying malignancies with conformal doses. As the test field for translation, preclinical small animal experiments need to mimic human condition, including IMRT. However, IMRT a systematic challenge due lack of corresponding hardware and software miniaturized targets.Approach.The sparse orthogonal collimators (SOC) based on direct rectangular aperture optimization (RAO) substantially...
In the process of software evolution, change information can help developers and system analysts to get a better understanding differential part software. this paper, we construct different versions source code into abstract syntax trees, use an improved tree matching algorithm which combines multiple string algorithms, bilateral best match strategy predicate program improve result. Also detailed type list is defined all editing operations will be mapped refined classification. We evaluated...
Companies that use online group-buying to get new business expansion opportunities at a price advantage are failing. Therefore, there is need develop marketing strategies for companies achieve market share and consumer favor. Given consumers society members, we used the social interaction theory investigate combination of factors stimulate consumers’ purchase intentions. Fuzzy-set Qualitative Comparative Analysis was performed evaluate different strategy configurations elements, perceived...
Pubic symphysis-fetal head segmentation in transperineal ultrasound images plays a critical role for the assessment of fetal descent and progression. Existing transformer methods based on sparse attention mechanism use handcrafted static patterns, which leads to great differences terms performance specific datasets. To address this issue, we introduce dynamic, query-aware image segmentation. Specifically, propose novel method, named BRAU-Net solve pubic task paper. The method adopts...
Abstract Objective . Auto-segmentation in mouse micro-CT enhances the efficiency and consistency of preclinical experiments but often struggles with low-native-contrast morphologically complex organs, such as spleen, resulting poor segmentation performance. While CT contrast agents can improve organ conspicuity, their use complicates experimental protocols reduces feasibility. We developed a 3D Cycle Generative Adversarial Network (CycleGAN) incorporating anatomy-constrained U-Net models to...
Objective This study aimed to assess the knowledge, attitudes, and practices (KAP) among family caregivers of patients with cerebral infarction toward home-based care. Methods web-based cross-sectional was conducted between October 2023 February 2024 at Yancheng Third People’s Hospital. A self-designed questionnaire developed collect demographic information, KAP Results total 761 questionnaires were included in study. Among participants, 453 (59.53%) female, 548 (72.01%) lived patients. The...
Image-guided mouse irradiation is essential to understand interventions involving radiation prior human studies. Our objective employ Swin UNEt TRansformers (Swin UNETR) segment native micro-CT and contrast-enhanced scans benchmark the results against 3D no-new-Net (nnU-Net). UNETR reformulates organ segmentation as a sequence-to-sequence prediction task using hierarchical Transformer encoder extract features at five resolution levels, it connects Fully Convolutional Neural Network...
Annual temperature cycle (ATC) models are widely used to characterize temporally continuous land surface (LST) dynamics within an annual cycle. However, the existing ATC ignore spatiotemporally local correlations among adjacent LST pixels and inadequate for capturing complex relationships between LSTs LST-related descriptors. To address these issues, we propose improved model (termed ATC_GL), which combines both global interpolations. Using random forest (RF) algorithm, ATC_GL quantifies...
Abstract. Complete urban surface temperature (TC) is a key parameter for evaluating the energy exchange between and atmosphere. At present stage, estimation of TC still needs detailed 3D structure information surface, however, it often difficult to obtain geometric composition corresponding so that there lack concise efficient method estimating by remote sensing. Based on four typical scale models, combined with Envi-met model, thermal radiant directionality forward modeling kernel we...