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In order to improve the mosquito repellent and water repellent properties of cotton fabrics, finishing agents for mosquito repellent and fluorine-free water repellent agent were applied to cotton fabrics using pad-dry method. The properties of cotton fabric before and after finishing including water contact angle, repellency, antifouling, mechanical property, air permeability, washing resistance, surface micro-morphology and infrared spectrum were tested. The results indicated that the fabric treated by mosquito repellent and hydrophobic finishing has excellent properties, the water contact angle was 148° and repellent rate was 75%.Additionally, the breaking strength of the finished fabric was improved 64.6%.It is considered that the modified fabric shows better mosquito repellent and hydrophobic property. [ABSTRACT FROM AUTHOR]

Background: Individuals who experience a workplace trauma are at a high risk of developing posttraumatic stress disorder (PTSD). Most of these people return to work soon after the trauma (i.e., experience early‐stage natural exposure). This study aims to explore the response pattern of workers who have experienced a workplace trauma and early‐stage natural exposure through network analysis and provide insights into the potential impact of early‐stage natural exposure. Methods: Our study included 278 workers directly experiencing the workplace explosion in the Tianjin Economic and Technological Development Zone. A partial correlation network analysis was used to explore the PTSD symptoms relationship and identify central symptoms. Results: The results suggest that emotional numbness, difficulty in concentration, re‐experiencing symptoms, and avoidance of thoughts are the most central symptoms, reflecting a "distraction‐avoidance" pattern. Conclusions: The current study found that workers who experienced workplace trauma exhibited a "distraction‐avoidance" pattern, which helps deepen our understanding of the PTSD network and leads to some suggestions on intervention measures. [ABSTRACT FROM AUTHOR]

In recent years, with the intensification of climate change, the development of low-carbon buildings (LCBs) has gained great momentum, and building information modeling (BIM) is perceived as the most promising path. However, systematic integration, review, and analysis of research in the field of BIM for LCBs has been lacking, which may hinder the potential of BIM in assisting the achievement of the goal of LCBs. Therefore, this study explores the current research status of BIM for LCBs and the directions for further investigation. A hybrid literature review method was utilized, which consisted of quantitative and qualitative analyses. Firstly, a quantitative bibliometric analysis was conducted on 158 studies searched from the Web of Science core collection. The most influential institutions, journals, studies, and keywords were identified. The most often used terms were BIM, life-cycle assessment (LCA), design, construction, digital technologies (DTs), life cycle, and integration. Secondly, a systematic qualitative analysis was conducted of 117 carefully selected studies to identify the research focus of different stages (e.g., design, construction, operation, and demolition) of BIM for LCBs. The results showed that studies pertaining to BIM for LCBs mostly took a whole life-cycle perspective, followed by a focus on the design stage, while the volumes of studies focusing on BIM for LCBs in the operation and demolition stages were relatively small. Currently, research focuses on how the latest methods and technologies can be utilized to help reduce carbon dioxide emissions over the life cycle of a building, e.g., BIM-LCA and BIM combined with DTs. Lastly, the challenges and prospects of integrating BIM with LCA and emerging DTs for LCBs are discussed in depth. Five topics, such as BIM-based interdisciplinary collaboration and improving and validating the BIM integrated sustainability calculation models, are proposed as future research trends. This study points out the current research hotspots and future research trends in the field and builds a solid starting point for scholars who want to devote themselves to this field. For practitioners in LCBs, the research findings could serve as a practical reference for better understanding the potential of BIM for LCBs so as to take full advantage of BIM to more effectively realize the goal of LCBs. [ABSTRACT FROM AUTHOR]

This study employs the undesirable output super-efficiency SBM-DEA model to reassess the green innovation efficiency (GIE) of 30 Chinese provinces from 2011 to 2020. We pioneer the examination of public attention (PA) influence on GIE and spatial spillover effects, employing the spatial Durbin model. Additionally, a spatial mediation model, incorporating big data technology as a mediator, is adopted. Key findings are as follows: 1) Significant spatial correlations exist in PA and GIE. 2) Improved PA in one province can help enhance the GIE in neighboring provinces but cannot directly impact the local GIE. 3) The positive impact of PA on local GIE follows an indirect path. Specifically, PA elevates the level of big data technology in the local and neighboring provinces, and this positive technological spillover effect significantly enhances the GIE across the entire region. 4) Industrial structure and research and development intensity also influence GIE to some extent. [ABSTRACT FROM AUTHOR]

The limited supply of reducing power restricts the efficient utilization of acetate in Yarrowia lipolytica. Here, microbial electrosynthesis (MES) system, enabling direct conversion of inward electrons to NAD(P)H, was used to improve the production of fatty alcohols from acetate based on pathway engineering. First, the conversion efficiency of acetate to acetyl‐CoA was reinforced by heterogenous expression of ackA‐pta genes. Second, a small amount of glucose was used as cosubstrate to activate the pentose phosphate pathway and promote intracellular reducing cofactors synthesis. Third, through the employment of MES system, the final fatty alcohols production of the engineered strain YLFL‐11 reached 83.8 mg/g dry cell weight (DCW), which was 6.17‐fold higher than the initial production of YLFL‐2 in shake flask. Furthermore, these strategies were also applied for the elevation of lupeol and betulinic acid synthesis from acetate in Y. lipolytica, demonstrating that our work provides a practical solution for cofactor supply and the assimilation of inferior carbon sources. [ABSTRACT FROM AUTHOR]

Low photoluminescence (PL) quantum yield of molybdenum disulfide (MoS2) quantum dots (QDs) has limited practical application as potential fluorescent materials. Here, we report the intercalation of aluminum ion (Al3+) to enhance the PL of MoS2 QDs and the underlying mechanism. With detailed characterization and exciton dynamics study, we suggest that additional surface states including new emission centers have been effectively introduced to MoS2 QDs by the Al3+ intercalation. The synergy of new radiative pathway for exciton recombination and the passivation of non-radiative surface traps is responsible for the enhanced fluorescence of MoS2 QDs. Our findings demonstrate an efficient strategy to improve the optical properties of MoS2 QDs and are important for understanding the regulation effect of surface states on the emission of two dimensional sulfide QDs. [ABSTRACT FROM AUTHOR]

Due to the lack of theoretical basis for the determination of process parameters, there are problems such as incomplete melting and excessive melting in the molten pool for laser processing, which ultimately cause the increase of defects such as air hole and crack. The melting behavior of Ti–Al binary alloy during laser processing is studied on the atomic scale by molecular dynamics simulation. The embedded atom method potential is adopted to establish the melting model of Ti–Al binary alloy. According to the changes of temperature, atomic structure and mean square displacement, the influence of different process parameters on the melting behavior of Ti–Al binary alloy is discussed. The results show that a short temperature drops from initial melting to complete melting. Mean square displacement increases rapidly with the increase of laser time after completely melting. The atoms start to move violently and the atomic structure is completely transformed into other structure. The heating and cooling rate increases with the increase of power. The laser power has little effect on the overall distribution of atoms after completely melting and only affects the variation rate of various physical quantities in melting process. The research results provide a deeper practical and theoretical evidence for the determination and optimization of the 3D printing and laser heat treatment. [ABSTRACT FROM AUTHOR]