A5111019602- Environmental Impact and Sustainability
- Extraction and Separation Processes
- Recycling and Waste Management Techniques
- Energy, Environment, and Transportation Policies
- Obstructive Sleep Apnea Research
- Child Abuse and Trauma
- Global Energy and Sustainability Research
- Energy, Environment, Economic Growth
- Posttraumatic Stress Disorder Research
- Medical Image Segmentation Techniques
- Energy and Environment Impacts
- Migration, Health and Trauma
- Neonatal and fetal brain pathology
- AI in cancer detection
- Colorectal Cancer Screening and Detection
- Advanced Nanomaterials in Catalysis
- Sustainable Supply Chain Management
- Nanoparticle-Based Drug Delivery
- Advanced Measurement and Detection Methods
- Water-Energy-Food Nexus Studies
- Formal Methods in Verification
- Advanced Algorithms and Applications
- Petri Nets in System Modeling
- Advanced Computing and Algorithms
- Energy Efficiency and Management
Taiyuan Iron and Steel Group (China)
2024
Second Hospital of Shanxi Medical University
2024
Xidian University
2023-2024
Shanxi Medical University
2024
Nanchang Hangkong University
2023-2024
Tongji University
2023
Shandong University
2018-2023
Xi'an University of Technology
2023
Jianghan University
2023
Shanghai Tenth People's Hospital
2023
The low-carbon power transition, which is key to combatting climate change, has far-reaching effects on achieving the Sustainable Development Goals (SDGs) in terms of issues such as resource use, environmental emissions, employment, and many more. Here, we assess potential impacts transition progress toward multiple SDGs (covering 18 targets across 17 goals) 49 economies under nine socioeconomic scenarios. We find that representative concentration pathway (RCP)2.6 scenarios could lead an...
Wind power needs to be expanded rapidly across the world stabilize our climate. However, there are increasing concerns about conflicts between supply of rare-earth elements (REs) (mainly neodymium, praseodymium, and dysprosium) global expansion wind power. Here, we provide a dynamic, technology-rich, regional-specific approach exploring such among ten regions through 2050 under four widely recognized climate scenarios. We find that significant increase in RE demand driven by ambitious...
The globally booming renewable power industry has stimulated an unprecedented interest in metals as key infrastructure components. Many economies with different endowments and levels of technology participate various production stages cultivate value global networks, known chains (RPVCs), complicating the identification metal supply for subsequent low-carbon generation demand. Here, we use a multi-regional input-output model (MRIO) combined chain decomposition to trace footprints (MFs)...
The impact of the May 2008 Wenchuan earthquake, measuring a massive 8.0 on surface wave magnitude scale, public health in China has been significant and multifaceted. In light extant data prevalence risk factors for posttraumatic stress disorder (PTSD) after other natural diasters, we collected from earthquake survivors to estimate PTSD characterize range factors.A cross-sectional multicluster sample survey 446 respondents (201 Qiang ethnic-minority group, 245 majority Han Chinese group) was...
This paper focuses on the problem of enforcing current-state opacity a discrete event system via editing functions. In more detail, observation exposed to an intruder is modified, either erasing or inserting some observations, so as guarantee that not able discover predefined secret. The notion concealability, which formalizes possibility maintaining secret hidden, introduced starting from defining illegal states particular structure called joint observer. An algorithm for analysis...
Non-rigid registration plays an important role in medical image analysis. U-Net has been proven to be a hot research topic analysis and is widely used registration. However, existing models based on its variants lack sufficient learning ability when dealing with complex deformations, do not fully utilize multi-scale contextual information, resulting insufficient accuracy. To address this issue, non-rigid algorithm for X-ray images deformable convolution feature focusing module was proposed....
We assessed possible brain abnormalities in adult patients with moderate and severe obstructive sleep apnea using the mean kurtosis (MK) from diffusion imaging analyzed correlation between MK cognitive function.
The boundaries of colonoscopy-acquired images are often blurred due to reflections and low contrast, existing methods for colon polyp segmentation fail effectively represent global contextual information long-range dependencies, resulting in sub-optimal accuracy segmenting polyp. To address this problem, we propose a novel approach which introduces uncertainty-guided cross-entropy loss into Transformer model achieve precise polyps. Regarding the boundary blurred, incorporate an uncertainty...
Motivation: Microstructural brain changes resulted from obstructive sleep apnea hypopnea syndrome（OSAHS）related cognitive impairment can help to understand the potential neuropathological mechanism. Goal(s): To assess microstructural alteration in patients with OSAHS using DKI imaging. Approach: 33 and healthy controls were performed DKI/3D-T1WI MRI The AK RK different regions extracted. Results: Significant differences found values various for group compared HC group. Abnormal some crucial...
Obstructive sleep apnea hypopnea syndrome (OSAHS) can lead to cognitive dysfunction, and in severe cases, it may develop into dementia. Early, timely accurate diagnosis is of great significance delay the progression disease, improve quality life prognosis. Diffusion kurtosis imaging (DKI) based on non-Gaussian model characterize diffusion water regarded as a more sensitive technology explore microstructural tissue changes compare with tensor (DTI). In this study, mean (MK) from DKI used...
Abstract This work proposes a symbolic method to verify and enforce the current‐state opacity of labelled Petri nets (LPNs). The notion basis markings partially observed currently dominates development verification enforcement for discrete event systems. However, related computational efficiency, great extent, depends on number in system, which increases exponentially with respect size its corresponding LPN model. Binary decision diagrams (BDDs) are capable computing set compact shared...
The globally booming renewable power industry has stimulated an unprecedented appetite for metals as key infrastructure components. Many economies with different endowments and technology levels participate in global value chains (RPVCs) at production stages, making it difficult to tell who supplies whose low-carbon generation. Here, we employed a chain decomposition model trace the metal footprints (MFs) value-added of major economies’ sectors. We found MFs sector increased by 1/3 during...
Abstract Low-carbon power transition, key to combatting climate change, brings far-reaching effects on achieving Sustainable Development Goals (SDGs), in terms of resources use, environmental emissions, employment, and many more. Here we assess the potential impacts transition multiple SDGs progress across 49 economies under six socio-economic-climate scenarios. We find that low carbon Representative Concentration Pathway (RCP) 2.6 scenarios could lead approximately 10% improvement global...
Abstract The globally booming renewable power industry has stimulated an unprecedented appetite for metals as key infrastructure components. Many economies with different endowments and technology levels participate in global value chains (RPVCs) at production stages, making it difficult to tell who supplies whose low-carbon generation. Here, we employ a chain decomposition model trace the metal footprints (MFs) value-added of major economies’ sectors. We find MFs sector increased by 47%...
Abstract Low-carbon power transition, key to combatting climate change, brings far-reaching effects on achieving Sustainable Development Goals (SDGs), in terms of resources use, environmental emissions, employment, and many more. Here we assessed the potential impacts transition 49 regional multiple SDGs progress under three different scenarios. We found that could increase global SDG index score from 72.36 2015 74.38 2040 1.5℃ scenario, compared with 70.55 71.44 ‘Coal-dependent’ ‘Middle...
Steel production, as one of few “difficult-to-decarbonize” sectors, is extremely energy and carbon-intensive, while the present understanding regional disparities their impacts on its decarbonization progress quite limited. By integrating environmental extended input-output analysis material flow analysis, this study, first attempts, provides an analytical perspective to explore emission performance steel production across 44 countries 5 rest-of-world regions from 2000 2015, in which...