Defining and Testing a Safety Cognition Framework Incorporating Safety Hazard Perception

There has been insufficient research focusing on checking the reliability of construction employees’ hazard perceptions by comparing them with empirical safety data. There have also been limited studies focusing on how site employees’ perceptions could be affected by multiple external and internal factors such as workers’ experience levels. This study firstly developed a theoretical safety cognition framework addressing site employees’ perceptions toward hazards. Empirical data from construction safety reports in China were collected to quantify and define eight common safety hazard or accident scenarios. Following the empirical data analysis, these eight hazards were ranked in terms of their occurrence, severity, and controllability. Based on the results of questionnaires received in China’s construction industry, site employees’ perceptions toward these eight hazards were analyzed, ranked, and compared with the empirical ranking. Major findings included but were not limited to: (1) hazards with higher occurrences tended to be perceived with less deviation; (2) more experienced employees were more likely to apply prior scenarios and safety knowledge to perceiving given hazards and to have more reliable perceptions; and (3) prior scenarios might also create biased perceptions in the case of electrocution. The current study contributed to the knowledge in safety climate by proposing and testing the framework incorporating safety perceptions. Further research could be performed to explore more subgroup factors’ effects on workers’ perceptions, as well as how to design an effective safety training program to correct their biased perceptions

Assessment of the reliability and quality of breast cancer related videos on TikTok and Bilibili: cross-sectional study in China

BackgroundAs the most common malignant tumor in the world, breast cancer also brings a huge disease burden to China. Ordinary people are increasingly inclined to use the Internet, especially video social platforms, as a source of health information. Educating the public to obtain correct information is important to reduce the incidence of breast cancer and improve the prognosis. However, the quality and reliability of breast cancer-related video content have not been fully studied.ObjectiveThis study aims to evaluate the quality of the information of breast cancer-related videos on TikTok and Bilibili video sharing platforms and factors related to video quality.MethodsWe collected the top 100 videos about breast cancer on TikTok and Bilibili, respectively. Categorize videos according to video source and video content. Video quality and reliability were assessed using Global Quality Score (GQS) and modified DISCERN (mDISCERN) tools. We also analyzed the correlation between video quality and video likes, comments, saves, and shares.ResultsAlthough the quality and reliability of Bilibili’s breast cancer videos were higher than TikTok (p = 0.002 and p = 0.001, respectively), the video quality of both video sharing platforms was not satisfactory, with a median GQS scores of 2.00 and 3.00 and mDISCERN scores of 1.00 and 2.00, respectively. In general, the quality and reliability of videos released by medical practitioners were higher than those of non-medical practitioners, and the quality and reliability of videos covering disease-related knowledge were higher than those of news reports (all p < 0.001). Among medical practitioners, the quality of videos uploaded by doctors in breast disease was significantly lower than that of doctors in other areas (p < 0.05). There was a significant positive correlation between video quality and duration (r = 0.240, p < 0.001), a weak negative correlation between video quality and likes (r = 0.191, p < 0.01), video quality and comments (r = 0.256, p < 0.001), video reliability and likes (r = 0.198, p < 0.001), video reliability and comments (r = 0.243, p < 0.01).ConclusionOur study shows that the quality and reliability of breast cancer-related videos on TikTok and Bilibili are poor, and the overall quality is unsatisfactory. But videos uploaded by medical practitioners covering disease knowledge, prevention and treatment are of higher quality. Medical practitioners are encouraged to publish more high-quality videos, while video social platforms should formulate relevant policies to censor and supervise health education videos, so as to enable the public to obtain reliable health information

Factors affecting the transmission of dengue fever in Haikou city in 2019

In this study, due to multiple cases of dengue fever in two locations in Haikou, Hainan, several factors affecting the transmission of dengue fever in Haikou in 2019 were analyzed. It was found that dengue fever spread from two sites: a construction site, which was an epidemic site in Haikou, and the university, where only four confirmed cases were reported. Comparative analysis revealed that the important factors affecting the spread of dengue fever in Haikou were environmental hygiene status, knowledge popularization of dengue fever, educational background, medical insurance coverage and free treatment policy knowledge and active response by the government

China's Construction Land Expansion and Economic Growth: A Capital-output Ratio Based Analysis

Since 2003, the Chinese Government has been using land policy as an important macroeconomic policy. The present paper analyzes the impact of the expansion of construction land on economic growth in terms of the capital-output ratio. Using provincial panel data for China from 1999 to 2005, we conclude that the excess expansion of China's construction land led to an increase in the capital-output ratio. Therefore, expanding construction land has made little contribution to economic growth. This paper argues that contractionary land policy does not deter high economic growth, and is a necessary condition for a sustainable economic growth. Copyright (c) 2008 The Authors Journal compilation (c) 2008 Institute of World Economics and Politics, Chinese Academy of Social Sciences.

An Accurate Geocoding Method for GB-SAR Images Based on Solution Space Search and Its Application in Landslide Monitoring

Although ground-based synthetic aperture radar (GB-SAR) interferometry has a very high precision with respect to deformation monitoring, it is difficult to match the fan-shaped grid coordinates with the local topography in the geographical space because of the slant range projection imaging mode of the radar. To accurately identify the deformation target and its position, high-accuracy geocoding of the GB-SAR images must be performed to transform them from the two-dimensional plane coordinate system to the three-dimensional (3D) local coordinate system. To overcome difficulties of traditional methods with respect to the selection of control points in GB-SAR images in a complex scattering environment, a high-resolution digital surface model obtained by unmanned aerial vehicle (UAV) aerial photogrammetry was used to establish a high-accuracy GB-SAR coordinate transformation model. An accurate GB-SAR image geocoding method based on solution space search was proposed. Based on this method, three modules are used for geocoding: framework for the unification of coordinate elements, transformation model, and solution space search of the minimum Euclidean distance. By applying this method to the Laoguanjingtai landslide monitoring experiment on Hailuogou Glacier, a subpixel geocoding accuracy was realized. The effectiveness and accuracy of the proposed method were verified by contrastive analysis and error assessment. The method proposed in this study can be applied for accurate 3D interpretation and analysis of the spatiotemporal characteristic in GB-SAR deformation monitoring and should be popularized

An Innovative Approach for Effective Removal of Thin Clouds in Optical Images Using Convolutional Matting Model

Clouds are the major source of clutter in optical remote sensing (RS) images. Approximately 60% of the Earth’s surface is covered by clouds, with the equatorial and Tibetan Plateau regions being the most affected. Although the implementation of techniques for cloud removal can significantly improve the efficiency of remote sensing imagery, its use is severely restricted due to the poor timeliness of time-series cloud removal techniques and the distortion-prone nature of single-frame cloud removal techniques. To thoroughly remove thin clouds from remote sensing imagery, we propose the Saliency Cloud Matting Convolutional Neural Network (SCM-CNN) from an image fusion perspective. This network can automatically balance multiple loss functions, extract the cloud opacity and cloud top reflectance intensity from cloudy remote sensing images, and recover ground surface information under thin cloud cover through inverse operations. The SCM-CNN was trained on simulated samples and validated on both simulated samples and Sentinel-2 images, achieving average peak signal-to-noise ratios (PSNRs) of 30.04 and 25.32, respectively. Comparative studies demonstrate that the SCM-CNN model is more effective in performing cloud removal on individual remote sensing images, is robust, and can recover ground surface information under thin cloud cover without compromising the original image. The method proposed in this article can be widely promoted in regions with year-round cloud cover, providing data support for geological hazard, vegetation, and frozen area studies, among others

HDAC1/2/3 are major histone desuccinylases critical for promoter desuccinylation

Abstract Lysine succinylation is one of the major post-translational modifications occurring on histones and is believed to have significant roles in regulating chromatin structure and function. Currently, histone desuccinylation is widely believed to be catalyzed by members of the SIRT family deacetylases. Here, we report that histone desuccinylation is in fact primarily catalyzed by the class I HDAC1/2/3. Inhibition or depletion of HDAC1/2/3 resulted in a marked increase of global histone succinylation, whereas ectopic expression of HDAC1/2/3 but not their deacetylase inactive mutants downregulated global histone succinylation. We demonstrated that the class I HDAC1/2/3 complexes have robust histone desuccinylase activity in vitro. Genomic landscape analysis revealed that histone succinylation is highly enriched at gene promoters and inhibition of HDAC activity results in marked elevation of promoter histone succinylation. Furthermore, our integrated analysis revealed that promoter histone succinylation positively correlates with gene transcriptional activity. Collectively, we demonstrate that the class I HDAC1/2/3 but not the SIRT family proteins are the major histone desuccinylases particularly important for promoter histone desuccinylation. Our study thus sheds new light on the role of histone succinylation in transcriptional regulation

Breaking the symmetry : gradient in NiFe layered double hydroxide nanoarrays for efficient oxygen evolution

Breaking the symmetry in catalysts through interface engineering has emerged as a new dimension in enhancing the catalytic performances, while the long-range asymmetry (i.e. in nanometer scale) in catalysts can hardly be achieved by alloying or doping. Herein, we introduce asymmetrical gradient effect into NiFe layered double hydroxide (NiFe-LDH) at nano scale via a simple nanoarray construction strategy on Ni foam substrate. The electron energy loss spectroscopy, extended X-Ray absorption fine structure and other characterizations together revealed the concentration and valence states gradients in NiFe-LDH nanoarrays. Subsequently, the gradient effect leads to distinctly optimized binding strength of active sites to oxygen evolution intermediates, better electron transfers and boosted oxygen evolution performances, which are absent in non-gradient NiFe-LDH catalysts. Such long-range gradient effects in nanoarray materials provide new opportunities to understand their boosted catalytic performances and to rationally design better catalytic materials.Ministry of Education (MOE)Nanyang Technological UniversityThis work was financially supported by the National Natural Science Foundation of China , the Program for Changjiang Scholars and Innovative Research Team in the University , the Fundamental Research Funds for the Central Universities , the Long-Term Subsidy Mechanism from the Ministry of Finance and the Ministry of Education of China , the National Key Research and Development Project , the Singapore Ministry of Education Academic Research Fund (AcRF) Tier 1: RG10/16, RG9/17, RG115/17; Tier 2: MOE2016-T2-2-004, and the Nanyang Technological University internal funding

Mitochondria from osteolineage cells regulate myeloid cell-mediated bone resorption

Abstract Interactions between osteolineage cells and myeloid cells play important roles in maintaining skeletal homeostasis. Herein, we find that osteolineage cells transfer mitochondria to myeloid cells. Impairment of the transfer of mitochondria by deleting MIRO1 in osteolineage cells leads to increased myeloid cell commitment toward osteoclastic lineage cells and promotes bone resorption. In detail, impaired mitochondrial transfer from osteolineage cells alters glutathione metabolism and protects osteoclastic lineage cells from ferroptosis, thus promoting osteoclast activities. Furthermore, mitochondrial transfer from osteolineage cells to myeloid cells is involved in the regulation of glucocorticoid-induced osteoporosis, and glutathione depletion alleviates the progression of glucocorticoid-induced osteoporosis. These findings reveal an unappreciated mechanism underlying the interaction between osteolineage cells and myeloid cells to regulate skeletal metabolic homeostasis and provide insights into glucocorticoid-induced osteoporosis progression