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Due to the popularization of the Internet in rural China, mobile Internet use has become an essential part of rural residents’ lives and work. No studies, however, have investigated the potential effect of smartphone use on quality of life among rural residents in China. This study thus applies ordinary least squared, conditional quantile and instrumental variable techniques to survey data for 493 rural Chinese households to assess the impact of smartphone use (SU) on their subjective well-being (SWB). The results reveal an association between SU and increases in both life satisfaction and happiness that remains even after we adjust for possible endogeneity. The analysis also indicates that SU intensity is associated with lower levels of both SWB measures, especially when it exceeds 3 h per day. Quantile estimates further indicate that in both participation and intensity, SU has a much greater impact on SWB at the median level of the SWB distribution. Our multiple mediation results show that the positive SU–SWB linkage is partially mediated by both farm income and off-farm income. This may suggest that the local government should invest in Internet infrastructure to promote agricultural activities and develop specific rural services to boost farm income via better access to information of agricultural production and market networks. Mobile information and communication technologies can also provide more opportunities for rural entrepreneurship and innovation, in particular by motivating young farmers to actively engage in rural e-business ventures which can raise off-farm income.

While quarantine has become a widely used control strategy during the outbreak of the 2019 novel coronavirus disease (COVID-19), empirical research on whether and to what extent quarantine and attitudes towards COVID-19 affect mental health is scant. Using a cross-sectional online survey, this paper is the first from the Chinese outbreak to investigate how quarantine experiences and attitudes towards COVID-19 are related to mental health, and how these relationships change across the distribution of mental health scores. Using quantile regression analysis, we found that home self-quarantine is associated with a decrease in depression and an increase in happiness, while community-level quarantine is associated with decreased happiness, especially for those in the lower happiness quantile. We also found that favorable attitudes towards COVID-19 regarding the credibility of real-time updates and confidence in the epidemic control are associated with lower levels of depression and higher levels of happiness. These effects are stronger in the upper quantile of depression and the median quantile of happiness.

Background FMRP is a selective mRNA-binding protein that regulates protein synthesis at synapses, and its loss may lead to the impairment of trace fear memory. Previously, we found that FMRP levels in the hippocampus of rats with post-traumatic stress disorder (PTSD) were decreased. However, the mechanism underlying these changes remains unclear. Methods Forty-eight male Sprague-Dawley rats were randomly divided into four groups. The experimental groups were treated with the single-prolonged stress (SPS) procedure and injected with a lentivirus-mediated inhibitor of miR-142-5p. Behavior test as well as morphology and molecular biology experiments were performed to detect the effect of miR-142 downregulation on PTSD, which was further verified by in vitro experiments. Results We found that silence of miRNA-142 (miR-142), an upstream regulator of FMRP, could alleviate PTSD-like behaviors of rats exposed to the SPS paradigm. MiR-142 silence not only decreased the levels of proinflammatory mediators, such as interleukin-1β, interleukin-6, and tumor necrosis factor-α, but also increased the expressive levels of synaptic proteins including PSD95 and synapsin I in the hippocampus, which was one of the key brain regions associated with PTSD. We further detected that miR-142 silence also downregulated the transportation of nuclear factor kappa-B (NF-κB) into the nuclei of neurons and might further affect the morphology of neurons. Conclusions The results revealed miR-142 downregulation could alleviate PTSD-like behaviors through attenuating neuroinflammation in the hippocampus of SPS rats by binding to FMRP.

Although the strong positive correlation between parental educational expectations (PEE) and child academic achievement is widely documented, little is known about PEE’s effects on child psychological outcomes and the mechanisms through which it may work. Hence, in this paper, using nationally representative data from the 2013–2014 and 2014–2015 waves of the China Education Panel Survey, we investigated PEE’s causal impact on adolescent subjective well-being (SWB) and the moderating role of the academic pressures that these adolescents perceive. While we provided robust evidence for a positive causal relation between PEE and adolescent SWB, we also found that this relationship is negatively moderated by adolescent-perceived academic pressure, indicating that academic pressure is likely to attenuate the beneficial impact of PEE on adolescent SWB. In addition, the facts that the benefits of PEE are greater for female adolescents and those from migrant, one-child, and non-poor families suggested that it may operate on adolescent SWB through increased family resources, improved family relationships, and higher adolescent aspirations linked to higher PEE.

DNA, the fundamental genetic polymer of all living organisms on Earth, can be chemically modified to embrace novel functions that do not exist in nature. The key chemical and structural parameters for genetic information storage, heredity, and evolution have been elucidated, and many xenobiotic nucleic acids (XNAs) with non-canonical structures are developed as alternative genetic materials in vitro. However, it is still particularly challenging to replace DNAs with XNAs in living cells. This review outlines some recent studies in which the storage and propagation of genetic information are achieved in vivo by expanding genetic systems with XNAs.

Using data from the 2015 International Social Survey Program (ISSP), this study conducts a multinational comparison of job satisfaction determinants and their drivers in 36 countries and regions, with particular attention to the reasons for relatively low job satisfaction among Chinese workers. Based on our results from a Blinder-Oaxaca decomposition analysis, we attribute a substantial portion of the job satisfaction differences between China and the other countries to different job attributes and expectations; in particular, to unmet job expectations for interesting work, high pay, and opportunities for advancement. We also note that, contrary to common belief, Chinese workers value similar attributes as Western workers but perceive their work conditions as very different from those in the West.

In karst regions, forests often grow on bedrock outcrops, however the water sources used by the forest vegetation are not known. This study aimed at investigating whether there were seasonal shifts (dry/wet season) of water sources for plants growing on the continuous dolostone outcrops, and comparing their differences with those growing on nearby thin soils in karst areas of southwest China. Rainwater, soil water within 0-30 cm depths, spring water (as a reflection of local deep water sources) and plant xylem water were sampled in March (late dry season) and July (mid rainy season) 2009, respectively. A direct inference approach and the IsoSource mixing model were used to estimate the contributions of different sources to the plant xylem water. On the outcrops, the deciduous tree species Radermachera sinica mainly used deep water sources during the dry season and a mixture of rainwater and deep water sources during the wet season. By contrast, the deciduous small shrub Alchornea trewioides largely relied on recent rainwater during both dry and wet seasons. Three non-deciduous species (Sterculia euosma, Schefflera octophylla and Ficus orthoneura) appear to rely on deep water sources during the wet seasons. In nearby thin soils, R. sinica mainly utilized deep water in the dry season and a mixture of soil water and deep water in the wet season. A. trewioides relied on the same water sources (rainwater-derived soil water) in the different seasons. The above results indicate that inter-specific differences in rooting patterns and leaf phenologies may lead to the differences in the sources of water used by coexisting plant species in karst regions.

Firmiana is a workflow based on the Galaxy system, which aims to facilitate for users the entire process of bioinformatics analysis from raw MS data to biological knowledge generation. It consists of multiple functional modules, including user login interface, metadata, identification and quantification, data analysis, and knowledge mining (Fig. 1a).

Tetranychus urticae Koch is a worldwide agricultural pest mite that feeds on more than 1100 kinds of crops. The mite has developed a high level of tolerance to high temperatures, but the physiological mechanism underlying the outstanding adaptability of this pest to high temperatures remains unclear. To clarify the physiological mechanisms of T. urticae in response to short-term heat stress, four temperatures (36, 39, 42, and 45 °C) and three short-term heat durations (2, 4, and 6 h) were conducted to test the effects on protein content, the activities of superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT), and the total antioxidant capacity (T-AOC). The results showed that protein content, antioxidant enzyme activity, and T-AOC in T. urticae were significantly induced by heat stress. These results suggest that heat stress induces oxidative stress and that antioxidant enzymes play an important role in reducing oxidative damage in T. urticae. The data of this study will provide a basis for further research on the molecular mechanisms of thermostability and ecological adaptability of T. urticae.

The term “dual-carbon goals” refers to the commitment of nations or regions to achieving carbon peaking and carbon neutrality. In this context, this study specifically denotes reducing carbon emissions and promoting the transformation and upgrading of energy markets through green innovation and entrepreneurial activities. This study explores the dynamic relationships among key variables in the energy market. It focuses on the impact of investments in green technological innovation on the balance of energy supply and demand, as well as market demand. The findings aim to provide scientific evidence to support the achievement of sustainable development goals. Through system dynamics modeling, this study analyzes the intricate relationships among energy demand, supply, green technology innovation investment, and market demand. In the realm of complex network analysis, market participants are categorized into conservative, moderate, and innovative groups, and their market behavior patterns are examined. In the data mining and machine learning phases, this study constructed a predictive model with an accuracy rate of 85%, forecasting the impact of future green innovation and entrepreneurship on market demand and energy supply. The results indicate that, in the dual-carbon era, investment in green innovation and entrepreneurship plays a significant role. This study enhances the proportion of renewable energy in the market, reduces carbon emissions, and accelerates the transformation of energy demand. Conservative market participants dominate the energy market, but the rise of innovative market participants suggests a positive influence of green innovation and entrepreneurship on market structure. The accuracy of the predictive model provides a reliable basis for policy formulation and strategic planning, offering scientific guidance for achieving sustainable energy development goals.