Effective photosensitizers are of particular importance for the widespread clinical utilization phototherapy. However, conventional usually plagued by short-wavelength absorption, inadequate photostability, low reactive oxygen species (ROS) quantum yields, and aggregation-caused ROS quenching. Here, we report a near-infrared (NIR)-supramolecular photosensitizer (RuDA) via self-assembly an organometallic Ru(II)-arene complex in aqueous solution. RuDA can generate singlet (1O2) only aggregate...

Abstract. Precipitation and shortwave radiation play important roles in climatic, hydrological biogeochemical cycles. Several global regional forcing data sets currently provide historical estimates of these two variables over China, including the Global Land Data Assimilation System (GLDAS), China Meteorological Administration (CMA) (CLDAS) Forcing Dataset (CMFD). The CN05.1 precipitation set, a gridded analysis based on CMA gauge observations, also provides high-resolution for China. In...

The Soil Moisture Active Passive (SMAP) mission was designed to provide a global mapping of soil moisture (SM) measured by L-band passive and active microwave sensors. In this study, we evaluate the newly released SMAP enhanced SM products over Tibetan Plateau performing comparisons among standard products, in-situ observations Community Land Model (CLM) simulations driven high-resolution meteorological forcing. At local scales, CLM all generally compare well with observations. show stronger...

Perylene diimide (PDI) derivatives with outstanding photo-physicochemical properties hold significant promise for application in solar energy conversion, pollutant degradation, and disease diagnosis. However, the inherent characteristics of PDI molecules, including poor water solubility, short-wavelength absorption, negligible singlet oxygen (1O2) generation capabilities, severely limit their photodynamic therapy (PDT). Here, a novel PDI-based photosensitizer was deliberately designed...

Recently, wearable energy harvesting systems have been attracting great attention. As thermal is abundant in nature, developing harvesters based on conversion processes has of particular interest. By integration a high-efficient solar absorber, pyroelectric film, and thermoelectric yarns, herein, we design novel solar-energy-driven pyrothermoelectric hybrid generator (PTEG). In contrast to those generators reported previous works, our PTEG can enable effective from both dynamic temperature...

Abstract The current method to address the reduced accuracy of target detection algorithms in hazy weather scenes is mainly first use image dehazing restore images, and then input restored images into obtain results. However, by model deviate from real clear do not completely recover features required algorithm, thus limiting improvement model. This paper proposes a algorithm based on large convolution kernels knowledge transfer (KTnet). First, attention module embedded backbone network...

Land surface models (LSMs) are important tools for simulating energy, water and momentum transfer across the land–atmosphere interface. Many LSMs have been developed over past 50 years, including Common Model (CoLM), a LSM that has primarily maintained by Chinese researchers. CoLM adopted several Earth System Models (GCMs) will participate in Coupled Intercomparison Project Phase 6 (CMIP6). In this study, we evaluate performance of with respect to energy budgets. We compare simulations using...

Abstract Parameterizations of fractional vegetation cover (FVC) in land surface models have important effects on simulations energy budget, especially arid and semiarid regions. This study uses a FVC scheme which is derived from leaf area index remotely sensed clumping index. The performance the new (SMFVC) evaluated against Moderate Resolution Imaging Spectroradiometer (MODIS) temperature (LST) situ soil observations, together with two other schemes, general (CTL) based map...

Cracks inside urban underground comprehensive pipe galleries are small and their characteristics not obvious. Due to low lighting large shadow areas, the differentiation between cracks background in an image is low. Most current semantic segmentation methods focus on overall have a perceptual range. However, for gallery crack tasks, it difficult pay attention detailed features of local edges obtain accurate results. A Global Attention Segmentation Network (GA-SegNet) proposed this paper. The...

With the vigorous development of renewable energy, large-scale wind power is connected to grid. Compared with conventional energy sources, generation has stochastic and intermittent characteristics, which brings great challenges safe stable operation grids. Forecasting essential for rational, effective use power. Thus, ability predict in a timely accurate manner particularly significant.The short-term prediction error mainly caused by inherent factors extrinsic factors. The factor refers...

In this study, we inter-compare soil moisture from in situ measurement, reanalysis data (ERA-interim), land assimilation system simulations (the Global Land Data Assimilation System, GLDAS) and two satellite remote sensing retrievals: L-band products Soil Moisture Ocean Salinity (SMOS) C-band the Japan Aerospace Exploration Agency Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E). The stationaveraged surface data, measured during May to September 2010, CEOP Mongolia...

Under the background of increasing trend population aging, health and quality life older adults have become focus social concern. As an important part adults' daily life, design configuration built environment may positively or negatively affect behaviors. Therefore, this study aims to explore relationship between perceived environments behaviors, which is association physical activity (PA) interactions. This for optimizing community improving adults.

A hybrid PSO-SVM-based model is proposed to predict the friction coefficient between aircraft tire and coating. The presented combines a support vector machine (SVM) with particle swarm optimization (PSO) technique. SVM has been adopted solve regression problems successfully. Its accuracy greatly related optimizing parameters such as regularization constant , parameter gamma corresponding RBF kernel epsilon in training procedure. However, which predicted based on yet be explored experiment...

The removal of rain streaks is critical for cameras in rainy weather conditions. Traditional single-image-based methods suffer from the defects losing detail information and being time consuming. This study presents a streak using multidimensional variational mode decomposition (MVMD). Rainy image decomposed MVMD into several subimages with specific directional frequency characteristics. Thus, components will be limited to one or two subimages, which are called subimages. determined based on...

The accurate estimation of patient’s exposure to the radiofrequency (RF) electromagnetic field magnetic resonance imaging (MRI) significantly depends on a precise individual anatomical model. In study, we investigated applicability an efficient whole-body modelling method for assessment MRI RF exposure. included deformable human model and tissue simplification techniques. Besides its remarkable efficiency, this approach utilized only low specific absorption rate (SAR) sequence or even no...

Vestibulo-ocular compensation following vestibular deafferentation was investigated in 26 acoustic neuroma patients tumor removal and 5 Meniere's disease nerve section by using sinusoidal harmonic acceleration testing. All three test parameters (phase lead, gain, asymmetry), when averaged, shifted significantly on the first postoperative (average 0.4 months after operation). A marked progression central with gain returning to range of normal control values seen tests performed 1 6 2.6...

With the increasing performance of computer, virtual instrument technology has greatly advanced over years, and then medical becomes available. This paper presents instrument, as an example, application a signal acquisition, processing analysis system using LabVIEW is also given

A multi-angle forward scattering method is presented, which can be used to detect the extinction coefficient of liquid droplets in atmosphere visibility measurement. The wavelength LED transmitter 850 nm, and signals are collected by three receivers arranged at angles 20°, 35° 50°, respectively. Atmosphere measured receiver angle. It determine type weather ratio between phase function P(20°) P(50°), also find different ranges these ratios weather. Compared other meters, meter proposed not...