A Parallel Image Denoising Network Based on Nonparametric Attention and Multiscale Feature Fusion.

Convolutional neural networks have achieved excellent results in image denoising; however, there are still some problems: (1) The majority of single-branch models cannot fully exploit the image features and often suffer from the loss of information. (2) Most of the deep CNNs have inadequate edge feature extraction and saturated performance problems. To solve these problems, this paper proposes a two-branch convolutional image denoising network based on nonparametric attention and multiscale feature fusion, aiming to improve the denoising performance while better recovering the image edge and texture information.

A spatial interpolation method based on 3D-CNN for soil petroleum hydrocarbon pollution.

Petroleum hydrocarbon pollution causes significant damage to soil, so accurate prediction and early intervention are crucial for sustainable soil management. However, traditional soil analysis methods often rely on statistical methods, which means they always rely on specific assumptions and are sensitive to outliers. Existing machine learning based methods convert features containing spatial information into one-dimensional vectors, resulting in the loss of some spatial features of the data.

Antibacterial and Anti-Inflammation Activity of Titanium Alloy by Efficient Copper Immobilization.

Titanium alloy plates are often used for fixation to bone. However, the plates often need to be removed due to infection and adverse inflammation. To avoid these problems, we immobilized copper, which has antibacterial effects and low cytotoxicity, on titanium plates by immersing the titanium in copper-tris(hydroxymethyl)aminomethane complex solutions.

Exploring the acceptance of virtual reality training systems among construction workers: a combined structural equation modeling and artificial neural network approach.

Virtual Reality Training System (VRTS) has been verified effective in safety training in the construction field. However, in China, it is not widely used as a regular training tool. Among all the reasons, the acceptance level of construction workers (CWs) has the decisive impact on the promotion of VRTS.

A twenty-year dataset of hourly energy generation and consumption from district campus building energy systems.

Distributed energy resources (DERs) would play a crucial role in the transition towards decentralized and decarbonized energy systems. However, due to the limited availability of long-term, high-resolution datasets, there has been little research on the descriptive analysis of distributed energy systems throughout the lifespan of distributed power generators and beyond. To address this challenge, this study has collected and described a twenty-year dataset (from 2002 to 2021) consisting of hourly energy generation and consumption profiles from a campus distributed energy system, covering the entire lifespan of on-site generators.

Coagulation-Targeted TGF-β Signaling Pathway Inhibitor Nanomedicine for Inhibiting the Growth and Lung Metastasis of Breast Cancer.

The transforming growth factor β (TGF-β) signaling pathway exerts a dual role in oncogenesis, acting as a suppressor in healthy and early stage neoplastic tissues while promoting malignancy and metastasis in advanced cancers. Tumor hemorrhage further exacerbates TGF-β-mediated metastasis by up-regulating its expression. Here, a coagulation-targeting peptide (A15)-decorated TGF-β inhibitor nanomedicine (A15-LY-NPs) was developed.

A Study on Bicellar Structural Characteristics and Skin Permeabilities across the Stratum Corneum of Arginine-Modified Peptide-induced Bicelles as a Potential Transdermal Drug Carrier.

In this study, the effects of incorporating arginine-modified peptide into the structure of discshaped bicelles were investigated. Characterization of bicellar system was conducted using different techniques, including dynamic light scattering (DLS), zeta potential, cryogenic transmission electron microscopy (cryo-TEM) and small angle X-ray scattering (SAXS). Bicelle skin permeability as drug carriers was also evaluated.

Research on performance and potential of distributed heating system for peak shaving with multi-energy resource.

Climate change and its negative effects are driving the global shift from fossil fuels to renewable energy sources. To tackle the dependency on traditional energy sources in harsh winter regions and improve heating quality during periods of thermal demand fluctuations, this paper proposes a new distributed heating peak shaving system (DHPS). The system combines municipal heat and clean energy within the secondary network while reducing the return water temperature in the primary network.

Projections of non-exhaust emissions from brake wear across Japan for 2020-2050.

The concerns regarding the detrimental impacts of the increasing proportion of non-exhaust emissions are growing, even though there is a decrease in exhaust emissions from vehicles worldwide. Brake wear is a source of non-exhaust emissions. Despite the high density of traffic in Japan, the emission from brake wear has rarely been the target of studies.

Joint probabilistic risk of organic micropollutants in the aquaculture seawater around Liaodong Peninsula.

The limited number of organic micropollutants (OMPs) investigated in aquaculture seawater may underestimate the risk to marine organisms. It is critical to comprehensively investigate the occurrence of diverse OMPs in mariculture area and assess their joint risks to coastal marine organisms. Herein, the joint risks caused by multiple substances were assessed based on the screened results of approximately 1300 non-polar to polar OMPs in the seawater of mariculture ponds and raft culture areas around Liaodong Peninsula.

Feasibility analysis of using short-term rainfall time series to evaluate rainwater harvesting systems considering climate change.

Employing recent short-term historical rainfall data may enhance the performance of rainwater harvesting systems (RWHs) in response to climate change. However, this assumption lacks extensive research, and the evaluation of RWHs currently relies on long-term historical rainfall time series. This study evaluates the feasibility of this assumption and aims to identify the optimal rainfall time series for evaluating RWH performance under climate change.

Comparative Analysis of Woody Biomass Fly Ash and Class F Fly Ash as Supplementary Cementitious Materials in Mortar.

Biomass fly ash is a sustainable, eco-friendly cement substitute with economic and performance benefits, being renewable compared to coal fly ash. This study examines using biomass fly ash (BFA) as a sustainable cement substitute, comparing it with Class F fly ash (CFA). With a water-binder ratio of 0.

The effect of classroom size and ceiling height on college students' learning performance using virtual reality technology.

The physical characteristics of classrooms can significantly impact the physical and mental health as well as the learning performance of college students. This study investigates the effects of classroom size and ceiling height on learning performance using virtual reality technology. Four classroom settings were created: two small classrooms (40.

Impact of visual and textural characteristics of street walls on stress recovery.

Rapid urbanization increases psychological stress among pedestrians, potentially heightening mental health disorders. This study examines the role of street walls' visual and textural characteristics in stress recovery, using Qingdao as a case study. Virtual reality is employed to simulate five distinct street walls: yellow mortar, brown stone, red brick, green plant, and white mortar.

Quantitative identification on spatial mismatch characteristics between supply and demand of carbon sequestration services.

Exploring the mismatch between supply and demand (SD) for carbon sequestration services (CSS) is essential for achieving the "double carbon" goal. However, more studies are needed on the traits of the spatial mismatch between SD in mountainous cities. We used the CASA model and the IPCC emission factor approach to address this issue and quantify the SD of CSS in Chongqing.

Exploring the Burden of PM2.5-Related Deaths and Economic Health Losses in Beijing.

Air pollution is one of the major global public health challenges. Using annual fine particulate matter (PM2.5) concentration data from 2016 to 2021, along with the global exposure mortality model (GEMM), we estimated the multi-year PM2.

[Association between indoor temperature during winter and falls at home in the past year among community-dwelling older adults: A cross-sectional analysis of the nationwide Smart Wellness Housing survey in Japan].

Aim: Some studies have reported a higher incidence of falls during winter with similar proportions of indoor and outdoor falls. We investigated the relationship between indoor temperature during winter and falls at home in the past year among community-dwelling older adults.

Methods: This cross-sectional study enrolled 964 individuals of ≥65 years of age in Japan.

Residents' willingness to engage in carbon generalized system of preferences - A personality insight study based on the extended theory of planned behavior.

In the context of China's dual carbon target, reducing personal carbon emissions has been identified as a crucial strategy to achieve the target. The 2022 Digital China Development Report emphasizes the significance of implementing the Carbon Generalized System of Preferences (CGSP) in driving individual carbon reduction efforts in China. However, the psychological factors influencing public participation in CGSP are still unknown.

Intratracheal instillation of polyacrylic acid induced pulmonary fibrosis with elevated transforming growth factor-β1 and connective tissue growth factor.

We investigated the intratracheal instillation of Polyacrylic acid (PAA) in rats to determine if it would cause pulmonary disorders, and to see what factors would be associated with the pathological changes. Male F344 rats were intratracheally instilled with low (0.2 mg/rat) and high (1.