Preparation and Thermal Properties of Molecular-Bridged Expanded Graphite/Polyethylene Glycol Composite Phase Change Materials for Building Energy Conservation

Using phase change materials (PCMs) in building envelopes became a reliable method to improve indoor comfort and reduce buildings’ energy consumption. This research developed molecular-bridged expanded graphite (EG)/polyethylene glycol (PEG) composite PCMs (m-EPs) to conserve energy in buildings. The m-EPs were prepared through a vacuum absorption technique, and a titanate coupling agent was used to build a molecular bridge between EG and PEG. SEM, mercury intrusion porosimetry (MIP), the leakage test, microcalorimetry, X-ray photoelectron spectroscopy (XPS), and Fourier transform infrared spectroscopy (FT-IR) were conducted to characterize the morphology, pore structure, absorbability, and modifying effects of the m-EPs. The phase change temperature, latent heat, thermal stability, and thermal conductivity of the m-EPs were determined by a differential scanning calorimeter (DSC), TGA, and a thermal constants analyzer. Results showed that the maximum mass ratio of PEG to EG without leakage was 1:7, and a stable connection was established in the m-EPs after modification. Compared with the unmodified EPs, the supercooling degree of the m-EPs reduced by about 3 °C, but the latent heats and initial decomposition temperatures increased by approximately 10% and 20 °C, respectively, which indicated an improvement in the thermal energy storage efficiency. The thermal conductivities of the m-EPs were 10 times higher than those of the pristine PEGs, which ensured a rapid responding to building temperature fluctuations

Emergency transformation experience of the laboratory department of a hospital designated for admission of patients with novel coronavirus infection in emergency conversion

In late February 2021, a round of indigenous novel coronavirus (referred to as COVID-19) infection emerged in Shanghai, making the COVID-19 outbreak shift from regular prevention and control to drastic pandemic prevention and control measures. According to the requirements of the Guidelines for the Organization and Implementation of Regional Novel Coronavirus Nucleic Acid Testing (Third Edition) issued by the National Health and Wellness Commission, medical institutions at all levels with nucleic acid testing capabilities rapidly carried out novel coronavirus nucleic acid testing, which put forward higher requirements for testing and prevention and control for the emergency conversion of non-designated admission hospitals to designated hospitals. As a clinical department with close contact with novel coronavirus testing specimens, the department of clinical laboratory has long working hours and high work intensity, as well as the potential risk of aerosol and contact transmission of clinical routine specimens and nucleic acid specimens, which requires more improvement from human resource planning, laboratory nucleic acid testing, laboratory infection prevention and control, medical material security, and staff psychological guidance. In this paper, we hope to combine the practice of emergency transformation work of the laboratory department in the northern hospital area of Ruijin Hospital, including personnel allocation, planning of testing items for clinical samples, and establishment of emergency nucleic acid testing, to carry out relevant work in a scientific, standardized and orderly manner, and provide our associate organizations with valuable experience in the coordination and management of emergency testing in the laboratory department in response to the novel coronavirus outbreak

Catalytic Effect of Green Human Resource Practices on Sustainable Development Goals: Can Individual Values Moderate an Empirical Validation in a Developing Economy?

Utilizing the framework of the theory of planned behavior, a new model has been extracted and validated empirically to explore the role of green human resource management (GHRM) practices in the attainment of the sustainable development goals (SDGs) among textile manufacturing firms. Therefore, this research study is the first attempt to empirically investigate the impact of green skills and employee green attitudes that may proffer a better explanation of the nature of the relationship between GHRM and the SDGs, proposing an inclusive re`search model on the effect of GHRM on the SDGs in the hi-tech manufacturing industry. Questionnaires were distributed to 465 textile firms; however, of those returned, only 197 surveys completed in all respects were used for further empirical investigation. PLS-SEM was used to analyze the data to assess the validity and reliability of the instrument. The outcomes of the study affirmed the theoretical model according to which GHRM has a positive association with employee green attitudes, employee skills, decent work, and sustainable consumption and production behavior. Employee green attitudes and decent work had a positive effect on sustainable consumption and production behavior. It is also beneficial to identify significant moderators to explain the processes and circumstances through which the attitudes of employees are transformed into the desired behaviors. Therefore, individual green values were taken as moderators in the study to assess how they impacted the relationship between GHRM and employee green attitudes, as well as that between employee green attitudes and sustainable consumption and production behavior. The results also revealed that an employee’s green attitude acted as a partial mediator between GHRM and decent work. Moreover, employee green attitudes and employee skills fully mediated between GHRM and sustainable consumption and production behavior

Self-Healing Property of Ultra-Thin Wearing Courses by Induction Heating

Ultra-thin wearing course (UTWC) has been developed in pavement preventive maintenance for many years. However, how to prolong the service life of UTWC still requires further research. This study introduced AC-5 and SMA-5 asphalt mixtures, which can be induction heated. Steel fiber and steel slag were used in the mixtures as additives. Marshall Stability and induction heating property of mixtures were characterized. In addition, self-healing property of UTWC materials had been emphatically conducted. Adding steel fiber in mixtures led to higher Marshall Stability and lower flow value, while steel slag generally showed a negative effect. Induction heating property showed a positive relationship with the additives. Induction heating time was positively correlated to the healing ratio of the mixtures. Induction heating on the mixtures could recover the strength of mixtures to a certain degree. Mixtures with more steel fiber showed a higher healing ratio. Basalt-steel slag based mixtures showed better healing ratios than the basalt based mixtures. The healing ratios of mixtures illustrated a decreasing tendency as the healing cycle increased

Restoration of Atmospheric Turbulence-Degraded Short-Exposure Image Based on Convolution Neural Network

Ground-based remote observation systems are vulnerable to atmospheric turbulence, which can lead to image degradation. While some methods can mitigate this turbulence distortion, many have issues such as long processing times and unstable restoration effects. Furthermore, the physics of turbulence is often not fully integrated into the image reconstruction algorithms, making their theoretical foundations weak. In this paper, we propose a method for atmospheric turbulence mitigation using optical flow and convolutional neural networks (CNN). We first employ robust principal component analysis (RPCA) to extract a reference frame from the images. With the help of optical flow and the reference frame, the tilt can be effectively corrected. After correcting the tilt, the turbulence mitigation problem can be simplified as a deblurring problem. Then, we use a trained CNN to remove blur. By utilizing (i) a dataset that conforms to the turbulence physical model to ensure the restoration effect of the CNN and (ii) the efficient parallel computing of the CNN to reduce computation time, we can achieve better results compared to existing methods. Experimental results based on actual observed turbulence images demonstrate the effectiveness of our method. In the future, with further improvements to the algorithm and updates to GPU technology, we expect even better performance

Catalytic Effect of Green Human Resource Practices on Sustainable Development Goals: Can Individual Values Moderate an Empirical Validation in a Developing Economy?

Utilizing the framework of the theory of planned behavior, a new model has been extracted and validated empirically to explore the role of green human resource management (GHRM) practices in the attainment of the sustainable development goals (SDGs) among textile manufacturing firms. Therefore, this research study is the first attempt to empirically investigate the impact of green skills and employee green attitudes that may proffer a better explanation of the nature of the relationship between GHRM and the SDGs, proposing an inclusive re`search model on the effect of GHRM on the SDGs in the hi-tech manufacturing industry. Questionnaires were distributed to 465 textile firms; however, of those returned, only 197 surveys completed in all respects were used for further empirical investigation. PLS-SEM was used to analyze the data to assess the validity and reliability of the instrument. The outcomes of the study affirmed the theoretical model according to which GHRM has a positive association with employee green attitudes, employee skills, decent work, and sustainable consumption and production behavior. Employee green attitudes and decent work had a positive effect on sustainable consumption and production behavior. It is also beneficial to identify significant moderators to explain the processes and circumstances through which the attitudes of employees are transformed into the desired behaviors. Therefore, individual green values were taken as moderators in the study to assess how they impacted the relationship between GHRM and employee green attitudes, as well as that between employee green attitudes and sustainable consumption and production behavior. The results also revealed that an employee’s green attitude acted as a partial mediator between GHRM and decent work. Moreover, employee green attitudes and employee skills fully mediated between GHRM and sustainable consumption and production behavior

Distribution Characteristics and Environmental Control Factors of Lipophilic Marine Algal Toxins in Changjiang Estuary and the Adjacent East China Sea

Marine algal toxins, highly toxic secondary metabolites, have significant influences on coastal ecosystem health and mariculture safety. The occurrence and environmental control factors of lipophilic marine algal toxins (LMATs) in the surface seawater of the Changjiang estuary (CJE) and the adjacent East China Sea (ECS) were investigated. Pectenotoxin-2 (PTX2), okadaic acid (OA), dinophysistoxin-1(DTX1), and gymnodimine (GYM) were detected in the CJE surface seawater in summer, with concentration ranges of not detected (ND)–105.54 ng/L, ND–13.24 ng/L, ND–5.48 ng/L, and ND–12.95 ng/L, respectively. DTX1 (ND–316.15 ng/L), OA (ND–16.13 ng/L), and PTX2 (ND–4.97 ng/L) were detected in the ECS during spring. LMATs formed a unique low-concentration band in the Changjiang diluted water (CJDW) coverage area in the typical large river estuary. PTX2, OA, and DTX1 in seawater were mainly derived from Dinophysis caudate and Dinophysis rotundata, while GYM was suspected to be from Karenia selliformis. Correlation analyses showed that LMAT levels in seawater were positively correlated with dissolved oxygen and salinity, but negatively correlated with temperature and nutrients, indicating that the hydrological condition and nutritional status of seawater and climatic factors exert significant effects on the distribution of LMATs