Understanding the spatiotemporal distribution of land surface temperature (LST) is crucial for managing urban thermal environments and mitigating heat island (UHI) effects. This study addresses challenge quantifying complex interactions among natural anthropogenic factors driving LST variations, while leveraging advanced modeling techniques to predict future risks in rapidly urbanizing regions. By analyzing evolution Jinan city, China, from 2002 2022, forecasts trends using spatial analysis...

Abstract CRISPR based technologies have been used for fast and sensitive detection of pathogens. To test the possibility strategy in Pseudomonas aeruginosa infections, a combined method recombinase polymerase amplification followed by Cas12a-mediated via fluorescence reader or lateral flow biosensor (named Cas12a-RCFL) has established this study. The Cas12a-RCFL can detect as low 50 CFU/mL aeruginosa. whole process be finished within one hour with satisfied specificity. also shows good...

Acinetobacter baumannii has become one of the most challenging conditional pathogens in health facilities. It causes various infectious diseases humans, such as wound or urinary tract infections and pneumonia. Phage therapy been used an alternative strategy for antibiotic-resistant A. approved by several governments. Previously, we have reported two potential phage candidates, Abp1 Abp9, both which are narrow-host-range phages. In present study, screened isolated 22 bacteriophages from...

Chronic kidney disease (CKD) is a prevalent renal disorder with various risk factors. Emerging evidence indicates that the transcriptional factor CCAAT/enhancer binding protein alpha (C/EBPα) may be associated fibrosis. However, precise role of C/EBPα in CKD progression remains unexplored. We investigated involvement using two distinct mouse models induced by folic acid (FA) and unilateral ureteral obstruction (UUO). Additionally, we used RNA sequencing KEGG analysis to identify potential...

This letter proposes a high-accuracy deep back-projection CNN (DBPCNN)-based propagation model for radio wave prediction in long guiding structures such as tunnels. The integrates convolutional neural networks (CNNs) with deterministic models to accelerate channel simulations by leveraging coarse-mesh received signal strength (RSS) data. An error compensation mechanism is introduced using the optimization-based iterative (IBP) algorithm, enhancing accuracy and efficiency. proposed achieves...

Hexavalent chromium (Cr (VI)), an anthropogenic heavy metal pollutant, is harmful to human beings, due its carcinogenicity. In this study, a tourmaline–biochar composite (TMBC) was synthesized remove Cr (VI) from aqueous solution. The effects of different ratios (TM:BC) and pyrolysis temperatures on TMBC adsorption performance were compared. samples characterized by X-ray diffraction (XRD), Fourier transform infrared (FTIR) scanning electron microscope–energy-dispersive spectrometry...

Abstract Propagation models are essential for the prediction of received signal strength and planning wireless systems in a given environment. The vector parabolic equation (VPE) method has been widely applied to modelling radio wave propagation tunnels. However, carrying out simulations large‐scale environments is still computationally expensive. A convolutional neural network (CNN)‐based model, which can provide high‐fidelity based on results from low‐cost VPE simulations, proposed....

The vector parabolic equation (VPE) method has proven to be a powerful numerical technique for high-fidelity propagation modeling in long guiding structures such as tunnels. However, applying VPE realistic large-scale environments remains difficult task due the requirement of high-performance computing resources. This paper proposes computationally efficient convolutional neural network model, which can compensate dispersion and provide received signal strength prediction based on results...

CRISPR based technologies have been used for fast and sensitive detection of pathogens. To test the possibility strategy in Pseudomonas aeruginosa infections, a combined method recombinase polymerase amplification followed by Cas12a-mediated via fluorescence reader or lateral flow biosensor (named Cas12a-RCF/L) has established this study. The Cas12a-RCF/L can detect as low 50 CFU/ml aeruginosa. whole process be finished within one hour with satisfied specificity. also shows good sensitivity...

Background Red blood cell distribution width (RDW) reflects the heterogeneity of red volume, which variable (RBC). RDW has been proved as predictor mortality among several diseases. The purpose this study is to analyze relationship between and diabetic foot patients. Methods We first collect clinic data from public database MIMIC-III. Kruskal Wallis rank sum test was used association DF mortality, evaluate them. Univariate multivariate logistic regression analysis for determining risk...

Diabetic kidney disease (DKD) is a prevalent and debilitating complication of diabetes characterized by progressive renal function decline lack effective treatment options. Here, we investigated the role transcription factor CCAAT/enhancer binding protein alpha (C/EBPα) in DKD pathogenesis. Analysis biopsy samples revealed increased C/EBPα expression patients with DKD. Using RNA sequencing proteomics, explored mechanisms through which contributes to Our findings demonstrated that exacerbated...

Abstract To support the design and deployment of emerging high‐frequency wireless systems in various applications such as intelligent transportation, advanced received signal strength (RSS) simulation tools for radio coverage prediction are needed. In railway vector parabolic equation (VPE) method is a commonly used approach wave propagation modelling large guiding structures tunnels. However, running VPE simulations at high frequencies an environment computationally expensive,...

Abstract The vector parabolic equation (VPE) method has been widely applied to the modelling of radio wave propagation in tunnel environments. However, dense spatial discretizations are generally required for VPE simulations achieve acceptable accuracy. This results high computational costs large‐size tunnels and high‐frequency wireless systems. letter presents an efficient physics‐based recurrent neural network (RNN) model modeling tunnels. proposed RNN‐based can leverage coarse‐mesh...

The vector parabolic equation (VPE) method is a promising tool for high-fidelity radio wave propagation modeling in large-scale guiding structures such as tunnels. However, simulation with VPE large distance still requires computing resources that can be practically prohibitive. This paper presents convolutional neural network (CNN) based model uses simulations low costs to provide received signal strength (RSS) prediction. performance of three CNN models (i.e., basic CNN, sub-pixel and...

Abstract Acinetobacter baumannii has become a challenging conditional pathogen. A. can lead to different infections, such as wound or urinary tract infections and pneumonia. As an alternative strategy for antibiotic-resistant phage therapy had been used approved by several governments . Previously we reported two potential candidates named Abp1 Abp9. In this study, wide host range lytic Abp95 were isolated sequenced. The biological characteristics of are also stuied. belongs the myoviridae...

Comparatists do not ordinarily recognize the fact that debates on comparative legal methodologies are always centered how to understand other systems. Partial and parochial views contained in existing studies reveal comparativists should have a cosmopolitan goal, which means avoid biases partialities when they examines systems from their own perspectives. The Cornell Common Core Project, carried out 1960s at Law School, serves as an excellent example of could pursue goal. factual method...