The impact of large-scale ecological restoration projects on trade-offs/synergies and clusters of ecosystem services.

Understanding the relationships between ecosystem services (ES) and the factors driving their changes over long periods and multiple scales is key for landscape managers in decision-making. However, the widespread implementation of restoration programs has led to significant ES changes, with trade-offs across space and time that have been little explored empirically, making it challenging to provide effective experience for managers. We quantified changes and interactions among five ES across various stages of the Grain-to-Green Program in the eastern Loess Plateau, examining these dynamics at threefold spatial scales. We observed notable increases in soil retention and Net Ecosystem Production but declines in habitat quality and Landscape aesthetics under afforestation. Over time, and with more integrated restoration strategies, synergies between ES pairs weakened, and non-correlations (even trade-offs) increased. To avoid unnecessary trade-offs, we recommend incorporating socio-ecological factors driving ES changes and ES bundles, informed by empirical experience, into proactive spatial planning and environmental management strategies for multi-ES objectives. The temporal lags and spatial trade-offs highlighted by this study offer crucial insights for large-scale restoration programs worldwide.

Understanding Social Media Information Sharing in Individuals with Depression: Insights from the Elaboration Likelihood Model and Schema Activation Theory.

Purpose: How individuals engage with social media can significantly impact their psychological well-being. This study examines the impact of social media interactions on mental health, grounded in the frameworks of the Elaboration Likelihood Model and Schema Activation Theory. It aims to uncover behavioral differences in information sharing between the general population and individuals with depression, while also elucidating the psychological mechanisms underlying these disparities. Methods: A pre-experiment (N=30) and three experiments (Experiment 1a N=200, Experiment 1b N=180, Experiment 2 N=128) were executed online. These experiments investigated the joint effects of information quality, content valence, self-referential processing, and depression level on the intention to share information. The research design incorporated within-subject and between-subject methods, utilizing SPSS and SPSS Process to conduct independent sample t-tests, two-factor ANOVA analyses, mediation analyses, and moderated mediation analyses to test our hypotheses. Results: Information quality and content valence significantly influence sharing intention. In scenarios involving low-quality information, individuals with depression are more inclined to share negative emotional content compared to the general population, and this tendency intensifies with the severity of depression. Moreover, self-referential processing acts as a mediator between emotional content and intention to share, yet this mediation effect weakens as the severity of depression rises. Conclusion: Our study highlights the importance of promoting viewpoint diversity and breaking the echo chamber effect in social media to improve the mental health of individuals with depression. To achieve this goal, tailoring emotional content on social media could be a practical starting point for practice.

Assessing the Impact of Internet Skills on Depressive Symptoms Among Chinese Middle-Aged and Older Adults: Cross-Sectional Instrumental Variables Analysis.

Background: The potential benefits of IT for the well-being of older adults have been widely anticipated. However, findings regarding the impact of internet use on depressive symptoms are inconsistent. As a result of IT's exponential growth, internet skills have supplanted internet access as the source of the digital divide. Objective: This study evaluates the effect of internet skills on depressive symptoms through an instrumental variables (IV) approach. Methods: Data from the China Health and Retirement Longitudinal Study's wave 4 (2018) were used. This included 16,949 community residents aged 45 years and older. To overcome the endogeneity issue, we used an IV approach. Results: Our results reveal the emergence of a second-level digital divide, the disparity in internet skills, among Chinese middle-aged and older adults. Liner regression suggests that a 1% increase in internet skills is associated with a 0.037% decrease in depressive symptoms (ß=-.037, SE 0.009), which underestimates the causal effect. As expected, internet skills are an endogenous variable (F test P value <.001). IV regressions indicate that a 1% increase in internet skills reduces 1.135% (SE 0.471) to 1.741% (SE 0.297) of depressive symptoms. These 2 IV are neither weak (F-1=16.7 and 28.5; both >10) nor endogenous (Wu-Hausman test P value of .10; >.05 or >.01). Conclusions: Better mental health is predicted through improved and higher internet skills. Consequently, residents and policy makers in China should focus on bridging the digital divide in internet skills among middle-aged and older adults.

Connecting through clicks: A longitudinal examination of internet use and depressive symptoms among middle- and old-aged Chinese.

AIM: While prior investigations into the influence of internet engagement on depressive symptoms in middle-aged and older individuals have largely been favorable, concerns persist. Some research posits that internet use may detract from direct interpersonal interactions, elevating depression risks. Here, we scrutinize these contrasting views, endeavoring to delineate the relationship between internet use, social participation, and the ensuing depressive manifestations. METHODS: We analyzed nationally representative data from three consecutive waves (2013-T1, 2015-T2, 2018-T3) of the China Health and Retirement Longitudinal Study survey. Measures of social participation encompassed formal social participation (i.e., attending clubs for mahjong, chess, sports, or other activities; participation in community organizations, volunteering, or enrolling in training courses) and informal social participation (i.e., interactions with friends or extending assistance to relatives, friends, or neighbors). Structural equation modeling was used to evaluate a focused longitudinal mediation model. RESULTS: Our dataset comprised 13 671 individuals aged 45 years or older. Baseline internet use was associated with a decrease in depressive symptoms by T3 ( c ' = -0.143, SE = 0.055). The longitudinal association between internet use and the alleviation of depressive symptoms was partially mediated by enhanced formal social participation (indirect effect a 1 × b 1 = -0.023, SE = 0.011). CONCLUSIONS: For developing nations such as China, grappling with a rapidly aging demographic and scarce mental health infrastructure, pioneering initiatives that merge digital and formal social participation might be a valuable component in a multifaceted approach to alleviate late-life depression. Geriatr Gerontol Int 2024; 24: 218-224.

Prediction and validation of the mechanism of Zadi-5 pill in protecting myocardial ischemia-reperfusion injury / 中国药房

OBJECTIVE To explore the mechanism of Zadi-5 pill in improving myocardial ischemia-reperfusion injury （MIRI）. METHODS The targets and pathways of potential effects of Zadi-5 pill improving MIRI were screened based on the network pharmacology. Seventy-two rats were randomly divided into model group， sham operation group， Danshen group [Compound danshen dripping pills 80 mg/（kg·d）] and Zadi-5 pill high-dose， medium-dose and low-dose groups [1.6， 0.8， 0.4 g/（kg·d）]， with 12 rats in each group. The rats in each group were given corresponding drugs intragastrically， once a day， for 14 consecutive days. After the last administration， MIRI model was established by ligating the anterior descending branch of left coronary artery in rats， while rats in the sham operation group were threaded without ligation. The contents of creatine kinase （CK）， lactate dehydrogenase （LDH）， aspartate transaminase （AST）， cardiac troponin T （CTn-T）， apoptotic rate of cardiomyocyte， phosphatidylinositol 3-kinase （PI3K）， protein kinase B （Akt）， B-cell lymphoma-2 （Bcl-2）， Bcl-2 related X protein （Bax） and caspase-3 in myocardial tissue were detected in each group after modeling； the morphological changes of myocardial tissue were observed. RESULTS A total of 177 active ingredients and 220 targets of Zadi-5 pill were obtained， including 51 targets involved in improving myocardial ischemia； the core target of Zadi-5 pill improving MIRI was AKT1， including PI3K-Akt， endoplasmic reticulum and hypoxia-inducible factor-1. Compared with model group， the contents of CK， LDH， AST and CTn-T， the apoptotic rate of cardiomyocyte as well as the protein expressions of caspase-3 and Bax were significantly decreased in Danshen group and Zadi-5 pill high-dose group （P＜0.05 or P＜0.01）， while the protein expressions of PI3K， Akt and Bcl-2 in myocardial tissue were significantly increased （P＜0.05 or P＜0.01）， respectively； the myocardial histopathological changes were significantly improved. The above indicators were improved to varying degrees in Zadi-5 pill low-dose and medium-dose groups， too. CONCLUSIONS Zadi-5 pill may inhibit apoptosis by activating the PI3K-Akt signaling pathway， thus playing a role in improving MIRI.

The Impact of Everyday ICT Use on Depressive Symptoms Among Older Adults in China: A Subjective Social Status Perspective.

OBJECTIVES: While numerous studies have highlighted the positive effects of everyday information and communication technology (EICT) use among older adults, emerging evidence signals potential detriments to mental health, particularly among younger demographics. This study aims to examine the effect of EICT on depressive symptoms among Chinese older adults. We hypothesize that EICT use among older adults will contribute to higher amounts of depressive symptoms, mediated by a decline in subjective social status. METHODS: We conducted a longitudinal mediation analysis with data from the China Family Panel Studies (CFPS), a nationally representative survey. A total of 3,234 older adults aged 60 years and older were selected from Wave 2016 (T1), Wave 2018 (T2), and Wave 2020 (T3) of the CFPS. Structural equation modeling was used to construct complete longitudinal path model. RESULTS: EICT use at T1 predicted a decline in subjective social status at T2 (ß = -0.215, p = .001), which in turn predicted higher depressive symptoms at T3 (ß = -0.375, p = .005). The mediating effect of subjective social status was statistically supported (indirect effect 0.081, p = .042). DISCUSSION: We reveal the potential negative impact of EICT use among older adults and its underlying mechanism. It lays the groundwork for the formulation of relevant public health initiatives, critical for stemming and mitigating the burgeoning incidence of depressive symptoms within China's aging population.

ZSP1601, a novel pan-phosphodiesterase inhibitor for the treatment of NAFLD, A randomized, placebo-controlled phase Ib/IIa trial.

Non-alcoholic fatty liver disease is a growing health burden with limited treatment options worldwide. Herein we report a randomized, double-blind, placebo-controlled, multiple-dose trial of a first-in-class pan-phosphodiesterase inhibitor ZSP1601 in 36 NAFLD patients (NCT04140123). There were three cohorts. Each cohort included twelve patients, nine of whom received ZSP1601 50 mg once daily, 50 mg twice daily, or 100 mg twice daily, and three of whom received matching placebos for 28 days. The primary outcomes were the safety and tolerability of ZSP1601. A total of 27 (27/36, 75%) patients experienced at least one treatment-emergent adverse event (TEAE). Most TEAEs were mild to moderate. There was no Serious Adverse Event. Diarrhea, transiently elevated creatinine and adaptive headache were frequently reported adverse drug reaction. We conclude that ZSP1601 is well-tolerated and safe, showing effective improvement in liver chemistries, liver fat content and fibrosis in patients with NAFLD.

Internet use and depressive symptoms among Chinese older adults: Two sides of internet use.

Objective: To explore the relationship between internet use which includes time spent on the internet, internet skills, types of online activities, and depressive symptoms in older adults. Methods: We used 2020 China Family Panel Studies (CFPS) data with 3,171 older adults aged 60 years. Depression symptoms were measured with the Center for Epidemiologic Studies Depression (CES-D), and internet use was measured by time spent on the internet, internet skills, and types of online activities. Multiple linear regression models were used to explore the relationship between internet use and depressive symptoms in older adults. Results: Longer time spent on the internet was associated with higher scores of depressive symptoms (ß = 0.14). Higher internet skills were associated with lower scores of depressive symptoms (ß = -0.42). Watching short-form videos (ß = 1.34) was associated with higher depressive symptom scores, and the use of the WeChat function (ß = -0.96) was associated with lower depressive symptom scores, while online games and online shopping were not significant. Conclusion: The effect of internet use on depressive symptoms in older adults is a double-edged sword. Controlling the time spent on the internet, improving internet skills, and guiding specific a type of online activities in older adults can improve depressive symptoms through rational use.

Non-invasive evaluation of NAFLD and the contribution of genes: an MRI-PDFF-based cross-sectional study.

OBJECTIVE: To investigate the clinical, laboratory and genetic features of NAFLD patients based on MRI-PDFF in China. DESIGN: Patients with high ALT and with a diagnosis of fatty liver were included in this cross-sectional study. Fasting blood was collected to test biomarkers and SNPs. A total of 266 patients underwent MRI-PDFF and FibroScan examinations, and 38 underwent liver biopsy. Diagnostic models (decision tree, LASSO, and elastic net) were developed based on the diagnosis from MRI-PDFF reports. RESULTS: Approximately, 1/3 of the patients were found to have NASH and fibrosis. After quantifying liver steatosis by MRI-PDFF (healthy: n = 47; mild NAFLD: n = 136; moderate/severe NAFLD: n = 83; liver fat content (LFC): 3.6% vs. 8.7% vs. 19.0%), most biomarkers showed significant differences among the three groups, and patients without obesity were found to have a similar LFC as those with obesity (11.1% vs. 12.3%). Models including biomarkers showed strong diagnostic ability (accuracy: 0.80-0.91). Variant alleles of PNPLA3, HSD17B13 and MBOAT7 were identified as genetic risk factors causing higher LFC (8.7% vs. 12.3%; 11.0% vs. 14.5%; 8.5% vs. 10.2%, p < 0.05); those with the UQCC1 rs878639 variant allele showed lower LFC (10.4% vs. 8.4%; OR = 0.58, p < 0.05). Patients with more risk alleles had higher LFCs (8.1% vs. 10.7% vs. 11.6% vs. 14.5%). CONCLUSIONS: Based on MRI-PDFF, a combination of several specific biomarkers can accurately predict disease status. When the effects of genes on liver steatosis were first quantified by MRI-PDFF, the UQCC1 rs878639 G allele was identified as a protective factor, and the MBOAT7 T allele was identified as a risk only among nonobese individuals.

Impact of Internet Use on Cognitive Decline in Middle-Aged and Older Adults in China: Longitudinal Observational Study.

BACKGROUND: Given that cognitive decline lacks effective treatment options and has severe implications for healthy aging, internet use may achieve nonpharmacological relief of cognitive decline through cognitive stimulation and social engagement. OBJECTIVE: This longitudinal study aimed to investigate the relationship between the diversity, frequency, and type of internet use and cognitive decline, and to provide theoretical support and suggestions for mitigating cognitive decline in middle-aged and older adults. METHODS: Data were obtained from a total of 10,532 survey respondents from the China Family Panel Studies database from wave 3 (2014) and wave 5 (2018) of the survey. Cognitive function was measured using vocabulary tests, and internet use was categorized into five aspects: study, work, socializing, entertainment, and commercial-related activities. Associations between the diversity, frequency, and type of internet use and cognitive decline were estimated by controlling for demographic variables and health status risk factors through fixed-effects models. RESULTS: After controlling for demographic and health status risk factors, the type and frequency of internet use were found to be associated with cognitive functioning during the subsequent 4-year period, and different types of internet use had different effects on cognitive decline. Frequency of internet use of at least once a week for study (ß=0.620, 95% CI 0.061 to 1.180; P=.04), work (ß=0.896, 95% CI 0.271 to 1.520; P=.01), and entertainment (ß=0.385, 95% CI -0.008 to 0.778; P=.06), as well as less than once a week for social purposes (ß=0.860, 95% CI 0.074 to 1.650; P=.06), were associated with better cognitive function. Frequency of internet use of less than once a week for commercial-related activities (ß=-0.906, 95% CI -1.480 to -0.337; P=.005) was associated with poorer cognitive function. Using the internet for more than one type of activity (ß=0.458, 95% CI 0.065 to 0.850; P=.03) and at least once a week (ß=0.436, 95% CI 0.066 to 0.806; P=.02) was associated with better cognitive function. CONCLUSIONS: This study shows that breadth and depth of internet use are positively associated with cognitive function and that different types of internet use have different roles in cognitive decline. The importance of the internet as a nonpharmacological intervention pathway for cognitive decline is emphasized. Future research could explore specific mechanisms of influence.

Structural elucidation of a new alkaloid from Tournefortia sibirica L.

A new alkaloid, tournesibirin (1), was isolated from the dichloromethane extracts from Tournefortia sibirica L. The structure of 1 was determined by spectroscopic methods, including UV, IR, HR-ESI-MS and extensive 1D and 2D NMR techniques.

Does digital technology reduce health disparity? Investigating difference of depression stemming from socioeconomic status among Chinese older adults.

BACKGROUND: Prior studies on health disparity have shown that socioeconomic status is critical to inequality of health outcomes such as depression. However, two questions await further investigation: whether disparity in depression correlated with socioeconomic status will become larger when depression becomes severer, and whether digital technology will reduce the disparity in depression correlated with socioeconomic status. Our study aims to answer the above two questions. METHODS: By using the dataset from China Health and Retirement Longitudinal Study 2015, we use quantile regression models to examine the association between socioeconomic status and depression across different quantiles, and test the moderating effect of digital technology. RESULTS: Our study obtains four key findings. First, the negative effects of socioeconomic status on depression present an increasing trend at high quantiles. Second, Internet usage exacerbates the disparity in depression associated with education level on average, but reduces this disparity associated with education level at high quantiles. Third, Internet usage reduces the disparity in depression associated with income on average and at high quantiles. Fourth, mobile phone ownership has almost no moderating effect on the relationship between socioeconomic status and depression. CONCLUSIONS: Our findings suggest the potential use of digital technology in reducing disparity in depression correlated with socioeconomic status among middle-aged and aged individuals in developing countries.

Evolution and Features of China's Central Government Funding System for Basic Research.

Basic research is believed to be a crucial factor for building national innovation capacity and therefore was perceived as a key battleground for national technological and economic competition. Since the economic reform and opening up in the late 1970s, China has made great achievements in building up its national research system. However, the lacking capabilities to conduct ground-breaking scientific work remain one of the daunting challenges for the country. How to restructure its funding system for basic research so to reinvigorate its indigenous innovation capacity has been one of the main concerns for the Chinese government in recent years. To address this, the paper proposes a conceptual framework to analyze how China's central government funding system for basic research has evolved since 1985. The paper concludes with a discussion of the identified problems and challenges that China is facing in its current funding system for basic research.

Variety textual research of Mongolian medicine of "saradma" / 中国中药杂志

Mongolian medicine is an indispensable part in developing traditional Mongolian medicine. This study is aimed to provide a basis for the formulation of clinical and Mongolian medicinal materials standards by clarifying the original plant and species collation of Mongolia medicine of "saradma". Mongolian herbal medicine, as an important part of Mongolian medicine, is needed to study the authentic Mongolian medicine, in order to exert the best therapeutic effect in the application. The Mongolian medicine of "saradma" is a kind of medicinal material for diuresis, reinforcing kidney, and eliminating edema, for which comes from the roots, stems, leaves, flowers, fruits, seeds and other parts of medicinal plant. The ancient books of Mongolian medicine are the most important reference the research of Mongolian medicine varieties. This review adopts the method of inductive comparison of ancient books in order to summarize the conclusion of Mongolian medicine of "saradma". According to the investigations, Mongolian medicine of "saradma" type is mainly Leguminosae plant, Oxytropis latibracteata, Hedysarum multijugum, Thermopsis barbata, Astragalus membranaceus, Vicia amoena, O. caerulea, Astragalus bhotanensis, Hedysarum sikkimense. Compared with modern works, it is found that the drug has a wide range of resources distribution and application. It can be used for the treatment of cold edema, hot edema, nephrogenic edema, edema, swelling and likes caused by different diseases. Based on the research of Mongolian medicine of "saradma" varieties, it was found that the most commonly used varieties in Inner Mongolia were cayan saradma, xara saradam and sira saradma all of which are all top-grade drugs that reduce swelling.