Understanding the women’s digital employment intentions: The role of policies and values

The digital economy has enforced women’s employment and provided more possibilities for promoting employment for gender equality (SGD5). In order to achieve SDG5, the study aims to explore the role of digital employment policy and digital employment value on digital employment intention based on the support alliance theory and employment behavior theory and to build a model of digital employment for gender equality. 492 women with digital work experience from China participated in the survey. The results reveal that digital employment policy (β = 0.327, p < 0.001) and digital employment value (β = 0.454, p < 0.001) predict digital employment intention. Digital employment policy plays an active role in determining digital employment value (β = 0.546, p < 0.001). At the same time, the study claims the intermediary role of digital employment value in the structural model. This study can inspire the government and relevant departments to design more scientific and diversified employment policies for women, including policy support in economic, educational, and social aspects. Furthermore, women in the digital era should actively participate in training, improve their digital skills, understand the possibilities that digitalization brings to their work and life, and adapt themselves to the development of the digital society. This study encourages women to integrate into the digital society and actively improve their values, thus achieving SDG5

Elderly tourism management: A bibliometric approach

Elderly tourism constitutes an important sector within the sustainable development of the tourism industry, attracting an increasing body of research focused on market development. This study aims to outline the progression of elderly tourism research within the past five years (2019–2023) and determine prospective research trajectories and opportunities in the subject. Employing CiteSpace visual analysis technology, this investigation constructs knowledge graphs of authors, institutions, and countries from 332 English-language academic articles from the Web of Science and culminates a keyword co-occurrence knowledge graph. Next, cluster and burst analyses revealed the prevailing trends and focal points in elderly tourism research. The results underscore that while many researchers have been drawn to elderly tourism, the collaborative relationships between these scholars remain tenuous, resulting in the relatively disparate study and the absence of a lead author group. China dominates the field, producing a far greater quantity of studies than other nations. Hence, this study encourages different countries, higher education institutions and disciplines to strengthen cooperation in the management and development of elderly tourism, especially paying attention to the importance of elderly tourism services, quality management and technology integration for the sustainable development of elderly tourism

Toward the digital economy: Mobile payment affecting sustainable consumption behavior

Mobile payment has a pronounced impact on the consumption mode of various industries and provides new clues for sustainable consumption. This study aims to explore the role of perceived risk and perceived technology on sustainable consumption intention and behavior. Moreover, it proposes the structural equation model of mobile payment for sustainable consumption behavior. 574 participants from Chinese higher education institutions filled in the questionnaire. The bootstrapping method was used to solve the problem of mediating factors. Amos 26.0 helped to construct structural equation models. The study determined the negative effect of the perceived mobile payment risk on the perceived mobile payment usefulness, perceived mobile payment ease of use, and sustainable consumption intention. Moreover, the three variables have a particular buffer in the relationship between perceived mobile payment risk and sustainable consumption behavior. Furthermore, perceived mobile payment usefulness positively impacts sustainable consumption intention, and they have a chain-mediated effect on the relationship between perceived mobile payment risk and sustainable consumption behavior. The same effect also occurs in the relationship between perceived mobile payment ease of use and sustainable consumption intention

Powdery Mildews Are Characterized by Contracted Carbohydrate Metabolism and Diverse Effectors to Adapt to Obligate Biotrophic Lifestyle

Powdery mildew is a widespread plant disease caused by obligate biotrophic fungal pathogens involving species-specific interactions between host and parasite. To gain genomic insights into the underlying obligate biotrophic mechanisms, we analyzed 15 microbial genomes covering powdery and downy mildews and rusts. We observed a genome-wide, massive contraction of multiple gene families in powdery mildews, such as enzymes in the carbohydrate metabolism pathway, when compared with ascomycete phytopathogens, while the fatty acid metabolism pathway maintained its integrity. We also observed significant differences in candidate secreted effector protein (CSEP) families between monocot and dicot powdery mildews, perhaps due to different selection forces. While CSEPs in monocot mildews are likely subject to positive selection causing rapid expansion, CSEP families in dicot mildews are shrinking under strong purifying selection. Our results not only illustrate obligate biotrophic mechanisms of powdery mildews driven by gene family evolution in nutrient metabolism, but also demonstrate how the divergence of CSEPs between monocot and dicot lineages might contribute to species-specific adaption

The impact of green credit on energy efficiency from a green innovation perspective: Empirical evidence from China based on a spatial Durbin model

Green credit plays a pivotal role in maintaining a balance between energy demand and the transition to low-carbon energy sources while considering energy conservation, emission reduction and the 'dual carbon' goal strategies. The SE-SBM model and the spatial Durbin model were used in this study to understand how green credit affects energy efficiency. The empirical approach was based on provincial panel data collected in China from 2005 to 2020. The results indicated that green credit significantly enhanced energy efficiency and had a substantial positive spatial spillover effect beyond the immediate region. Therefore, the enforcement of green credit policies could enhance energy efficiency within the region and concurrently encourage an improvement in energy efficiency in adjacent regions. Furthermore, the study unveiled significant regional disparities in the impact of green credit on the improvement of energy efficiency across the eastern, central and western regions. The green credit policies should be customized to align with the unique circumstances of different regions. Green innovation serves as the primary conduit through which green credit enhances energy efficiency. These insights offer a valuable reference for policymakers seeking to enhance energy efficiency via green credit policies

Simultaneous Determination of PMS, PDS, and H₂O₂ Concentrations with Multi-Step Iodometry

Peroxodisulfate (PDS), peroxymonosulfate (PMS), and hydrogen peroxide (H2O2) might coexist in a persulfate system. It leads to the mutual interference in concentration determination due to their similar structures. Simultaneous detection of the three peroxides involves limited reporting. Herein, a multi-step iodometry was established to simultaneously determine the concentrations of PDS, PMS, and H2O2 coexisting in a solution. Firstly, molybdate–NaHCO3-buffered iodometry was proposed to uplift the overall detection of peroxides since the recovery rate of H2O2 was unexpectedly lower in the peroxide mixture than in the single H2O2 solution with reported NaHCO3-buffered iodometry. Then, multi-step iodometry was proposed based on the established molybdate–NaHCO3-buffered iodometry using the combination with catalase and revised acetate-buffered iodometry (pH 3). The multi-step iodometry determined the coexisting PMS, PDS, and H2O2 with the recovery rate of 95–105% and a standard deviation of ≤7% of two replicates at the individual centration of 13–500 μmol∙L−1. The recovery rates of peroxides were within 95–105% at pH 3–11 and within 90–110% in the presence of Cl− (0–150 mg∙L−1), F− (0–1.5 mg∙L−1), SO42− (0–150 mg∙L−1), or NO3− (0–20 mg∙L−1). The recovery rate of H2O2 was lowered down to 91% or 87% in the sample containing 100 mg/L Ca2+ or Mg2+, respectively, but was lifted up to 100% or 93% once pretreated by adding 0.11–1.06 g∙L−1 Na2CO3. In the background of tap water, surface water, and ground water, peroxides were all detected in 90–110%, which indicates the applicability of multi-step iodometry in real waters

Optimization of confined aquifer dewatering for long-deep excavation using simulation–optimization method

The confined aquifer dewatering for long-deep excavations usually encounters challenges due to complicated geotechnical conditions, large excavation sizes, and high hydraulic pressures. To propose the most efficient scheme of confined aquifer dewatering for long-deep excavations, dewatering optimizations were performed using the simulation–optimization method. An open cut tunnel of the Jiangyin-Jingjiang Yangtze River Tunnel Project was taken as an example. The methods of finite element and linear programming (LP) were combined to optimize the dewatering process. A three-dimensional finite element model was developed. After simulating the pumping tests, hydraulic conductivity was inverted. Then, necessary parameters in the LP method were determined by simulating dewatering with each pumping well, and various LP models were developed based on some important influence factors such as dewatering sequence, considered pumping wells, and pumping rate limitation. Finally, the optimal pumping rates were solved and applied to the numerical model, with induced drawdown and ground settlement computed for comparison. The results indicate that the optimization can significantly reduce the required wells in the original design. Dewatering in the deepest zone exhibits the highest efficiency for long-deep excavations with gradually varying depths. For the dewatering sequence from the shallowest to the deepest zone, more pumping wells are required but less energy is consumed. Higher quantity and more advantageous locations of pumping wells in the LP model usually result in lower total pumping rate, drawdown, and ground settlement. If more pumping wells are considered in the deepest zone, pumping rate limitation of single well will only slightly increase the total pumping rate, number of required pumping wells, drawdown, and ground settlement