Abstract Obesity is associated with increased risk of many types cancer and can be induced by various high-fat diets (HFD) from different fat sources. It remains unknown whether fatty acid composition in HFD influences obesity-associated tumor development. Here we report that consumption either a cocoa butter or fish oil similar obesity mouse models. While the was accelerated mammary growth, uncoupled growth exhibited decrease protumor macrophages. Compared (FA) components both HFDs, n-3 FA...

Gold nanoparticles (GNPs) have tremendous potential as cancer-targeted contrast agents for diagnostic imaging. The ability to modify the particle surface with both disease-targeting molecules (such cancer-specific aptamer AS1411) and gadolinium chelate Gd(III)-DO3A-SH) enables tailoring particles specific cancer-imaging diagnosis. While amount of image generated by nanoparticle is often low, it can be augmented assistance computer analysis algorithms. In this work, gold...

A novel cooperative strategy for distributed unmanned aerial vehicle (UAV) swarms with different functions, namely the mission chain-driven cooperation method, is proposed to allow fast search and timely rescue of injured human targets in a wide-area outdoor environment. First, UAV-camera unit exploited detect suspected target combined improved deep learning technology. Then, location information transferred self-organizing network. special bio-radar-UAV was released recheck survivals...

Cardiac magnetic resonance (MR) imaging is one of the most rigorous form to assess cardiac function in vivo. Strain analysis allows comprehensive assessment diastolic myocardial function, which not indicated by measuring systolic functional parameters using with a normal cine module. Due small heart size mice, it possible perform proper tagged strain. Here, we developed novel deep learning approach for automated quantification strain from MR images. Our framework starts an accurate...

As an important and basic platform for remote life sensing, unmanned aerial vehicles (UAVs) may hide the vital signals of injured human due to their own motion. In this work, a novel method remove motion accurately extract respiration is proposed. We utilized hovering UAV as ultra-wideband (UWB) radar capture respiration. To interference from moving platform, we used delay calculated by correlation between each frame UWB data in order compensate range migration. Then, echo target were...

Radar reflectivity data snapshot fine-grained atmospheric variations that cannot be represented well by numerical weather prediction models or satellites, which poses a limit for nowcasts based on model–data fusion techniques. Here, we reveal multiscale representation (MSR) of the atmosphere reconstructing radar echoes from Weather Research and Forecasting (WRF) model simulations Himawari-8 satellite products using U-Net deep networks. Our reconstructions generated in terms patterns,...

The rapid air-to-ground search of injured people in the outdoor environment has been a hot spot and great challenge for public safety emergency rescue medicine. Its crucial difficulties lie fact that small-scale human targets possess low target-background contrast to complex background attribute target is hard verify. Therefore, an automatic recognition method based on UAV bimodal information proposed this paper. First, suspected were accurately detected separated from multispectral feature...

Evapotranspiration (ET) is an important variable for water and energy balances on the earth's surface. Surface Energy Balance Algorithm Land (SEBAL) image-processing model that calculates ET over vast areas. In this study, time series of MODIS data in 2009 meteorological are used to estimate Yellow River Delta (YRD) by SEBAL, then spatial-temporal characters analyzed. It shows that, monthly average presents a unimodal distribution peak value locates June, changes with corresponding climate...

Increasing time-series remote sensing images provide the information about evolution processes of ecosystems on multi-spatial scales. Vegetation plays an important role in sustaining natural environment and supporting human being with goods ecosystem services. Detection vegetation degradation has become a hot spot multi-disciplinary researches recently. In this paper, case study spatio-temporal data mining knowledge discovery for detection been conducted. The special issues focused...

Abstract The 11th goal of the United Nations Sustainable Development Goals (SDG) aims at making cities inclusive, safe, resilient and sustainable, to which rising city air pollution poses a severe challenge. Achieving this necessitates governing quality large scale. However, lack interconnection among modelling, multi-source data, diagnosis control actions impedes scalable efficient governance pollution. Here we present design digital make full use science information techniques, so that...

The global atmospheric chemical transport model has become a key technology for air quality forecast and management. However, precise rapid simulations are frequently limited by the model’s computational performance. gas-phase chemistry module is most time-consuming in models because its traditional solution method dynamically stiff. To reduce solving time of gas phase module, we built an emulator based on deep residual neural network (NN) Carbon Bond Mechanism Z (CBM-Z) mechanism...

The atmosphere is governed by laws of atmospheric physics and chemistry. For decades even centuries, these are represented differential equations, usually solved numerically for the scale defined model grid cells. However, this representation paradigm reaches its limits when underlying or chemistry too complex unknown, especially considering multiscale nature atmosphere. In our data era stored in immense datasets various observations numerical simulations, while artificial intelligence...

Magnetic resonance imaging (MRI) is mostly used for cancer diagnosis due to its excellent contrast resolution. However, using MRI somewhat limited by sensitivity. In this study, we assessed the ability of theranostic platform consisting gold nanoparticles functionalized with a targeting aptamer; AS1411 and gadolinium chelate (Dotarem thiol derivative; Gd (III)-DO3A) as agent target malignant tumors enhancing detected tumor. The proposed technology novel injectable detection monitoring...

Impervious surfaces as a special factor mainly made by human not only can indicate changes of LUCC and the Urbanization, is also good indicator environmental quality. In this paper, we took TM image data Yellow River Delta (YRD) region especially Dongying city in 2009 study area, used Normalized Mixing Spectral Analysis Model (NSMA) aided product maximum likelihood classify to obtain high accuracy map percent impervious surface (PIS). addition, urban (town) were distinguished setting...

Objective UAV-based multispectral detection and identification technology for ground injured human targets, is a novel promising unmanned public health safety IoT applications, such as outdoor lost searching battlefield casualty searching, our previous research has demonstrated its feasibility. However, in practical the searched target always exhibits low target-background contrast relative to vast diverse surrounding environment, environment also shifts randomly during UAV cruise process....

Radar Cross Section (RCS) is the most important amplitude characteristic of target electromagnetic scattering. In this paper, definition and classification RCS are given firstly. Then, simulation calculation method static based on FEKO studied. Finally, typical standard body carried out. The results show that average error between measured data less than 3dB, proposed can meet requirements calculation.

The human gait is a complex mechanism by which variety of muscles and bones must work together in precise coordination to create characteristic locomotion, can be used as an identification or clinical characterization for detecting pathological conditions. In this paper, contact-free detection system based on continuous-wave bio-radar introduced. Through the spectrum analysis radar echo signal generated during walking, main frequency extracted. Correlation analyses are made with data...

Emission inventory is important for air pollution prevention and control as well carbon management cities because they pinpoint when where pollutants dioxide are emitted. However, the compilation of emission involves cumbersome data collection from diverse parties about combustion activities related factors that convert activity to emissions. Here we design implement a cloud-based information system can facilitate efficient compilation. We base our on cloud infrastructure adopt microservice...