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The article discusses the context of literature on Chinese nationalism. It highlights the arguments between the identification of the English-language literature such as the foreign policy for Chinese nationalism and the threat of erroneous Chinese nationalism. It also stresses the political identity of the literature on Chinese nationalism.

Encoding and recalling spoken instructions is subject to working memory capacity limits. Previous research suggests action-based encoding facilitates instruction recall, but has not directly compared benefits across different types of action-based techniques. The current study addressed this in two experiments with young adults. In Experiment 1, participants listened to instructional sequences containing four action-object pairs, and encoded these instructions using either a motor imagery or verbal rehearsal technique, followed by recall via oral repetition or enactment. Memory for instructions was better when participants used a motor imagery technique during encoding, and when recalling the instructions by enactment. The advantage of using a motor imagery technique was present in both verbal and enacted recall. In Experiment 2, participants encoded spoken instructions whilst implementing one of four techniques (verbal rehearsal, motor imagery, observation of others' actions or self-enactment), and then recalled the instructions by oral repetition or enactment. For both verbal and enacted recall, memory for instructions was least accurate in the rehearsal condition, while the other encoding conditions did not differ from each other. These novel findings indicate similar benefits of imagining, observation and execution of actions in encoding spoken instructions, and enrich current understanding of action-based benefits in working memory. [ABSTRACT FROM AUTHOR]

Background. In western countries like the United States of America, living will is seen as a vehicle for achieving greater wisdom and skill in a fundamental aspect of health care and a civilized approach to mortality. However, the inception of living will in China emerged only a decade ago. Although, nowadays, Chinese medical social workers can provide living will service in health settings, their services are in a preliminary status. Objective. This exploratory case study aims to present an ethical dilemma and analyzes the reasons the social work client self-determination principle failed in living will decision-making in the oncology ward that has Confucius as a cultural context. Results. This case illustrates that the patient's family has the final say in living will decision-making. The social work principle of client self-determination exemplifies the difficulties of applying medical social work practices with living will to Chinese patients in hospital wards. Conclusions. Chinese patients and their families are still bound to Confucianism's long tradition. In China, individuals are still being defined by relationships, and the "self" exists only in a hierarchical interpersonal network known as the differential pattern. The Chinese people do not like to talk about death. Even in modern society, it will take time for the Chinese people to come to terms with the end-of-life planning with living will, mainly for cancer patients after diagnosis. Practice Implications. Future social work practices that implied living will similar to this case that has Confucius culture in the background should consider the cultural context where the social worker-client are situated and the types of social work values the profession hold. [ABSTRACT FROM AUTHOR]

Objective: The objective of this study was to construct and validate a structural equation model (SEM) to identify factors associated with sleep quality in awake patients in the intensive care unit (ICU) and to assist in the development of clinical intervention strategies. Research Methods/Setting: In this cross‐sectional study, 200 awake patients who were cared for in the ICU of a tertiary hospital in China were surveyed via several self‐report questionnaires and wearable actigraphy sleep monitoring devices. Based on the collected data, structural equation modelling analysis was performed using SPSS and AMOS statistical analysis software. The study is reported using the STROBE checklist. Results: The fit indices of the SEM were acceptable: χ2/df = 1.676 (p <.001) and RMSEA =.058 (p < 0.080). Anxiety/depression had a direct negative effect on the sleep quality of awake patients cared for in the ICU (β = −.440, p <.001). In addition, disease‐freeness progress had an indirect negative effect on the sleep quality of awake patients cared for in the ICU (β = −.142, p <.001). Analgesics had an indirect negative effect on the sleep quality of awake patients cared for in the ICU through pain and sedatives (β = −.082, p <.001). Sedation had a direct positive effect on the sleep quality of conscious patients cared for in the ICU (β =.493; p <.001). Conclusion: The results of the SEM showed that the sleep quality of awake patients cared for in the ICU is mainly affected by psychological and disease‐related factors, especially anxiety, depression and pain, so we can improve the sleep quality of patients through psychological intervention and drug intervention. [ABSTRACT FROM AUTHOR]

The increasing turnover rate of social workers in China has garnered widespread concern despite limited evidence-based investigation at the organizational level. This study extracted data from a sample of 4,399 social workers and the extended job demands/control/support model to explore the effects of organization-level factors on social workers' turnover intention. The findings indicate that larger organizational size, diminished perceived organizational support, and a weaker sense of organizational cultural identity are predictors of heightened turnover intentions among social workers. An intriguing finding was that, in contrast to workers in smaller organizations, those in larger entities did not exhibit a significant difference in terms of job demands and job control. However, they reported markedly lower levels of perceived organizational support and organizational cultural identity compared with their counterparts in smaller settings. These insights underscore the imperative for organizational managers to proactively furnish comprehensive support systems for social workers and cultivate a robust sense of organizational cultural identity, thereby mitigating the risk of turnover intentions and fostering a more stable workforce. [ABSTRACT FROM AUTHOR]

Purpose: Prior research extensively documented challenges in recognizing verbal and nonverbal emotion among older individuals when compared with younger counterparts. However, the nature of these age-related changes remains unclear. The present study investigated how older and younger adults comprehend four basic emotions (i.e., anger, happiness, neutrality, and sadness) conveyed through verbal (semantic) and nonverbal (facial and prosodic) channels. Method: A total of 73 older adults (43 women, Mage = 70.18 years) and 74 younger adults (37 women, Mage = 22.01 years) partook in a fixed-choice test for recognizing emotions presented visually via facial expressions or auditorily through prosody or semantics. Results: The results confirmed age-related decline in recognizing emotions across all channels except for identifying happy facial expressions. Furthermore, the two age groups demonstrated both commonalities and disparities in their inclinations toward specific channels. While both groups displayed a shared dominance of visual facial cues over auditory emotional signals, older adults indicated a preference for semantics, whereas younger adults displayed a preference for prosody in auditory emotion perception. Notably, the dominance effects observed in older adults for visual and semantic cues were less pronounced for sadness and anger compared to other emotions. These challenges in emotion recognition and the shifts in channel preferences among older adults were correlated with their general cognitive capabilities. Conclusion: Together, the findings underscore that age-related obstacles in perceiving emotions and alterations in channel dominance, which vary by emotional category, are significantly intertwined with overall cognitive functioning. Supplemental Material: https://doi.org/10.23641/asha.27307251 [ABSTRACT FROM AUTHOR]

Among the thirteen leukocyte Ig-like receptor (LILR) loci located at 19q13.4, LILRA3 is unique in that it encodes a soluble protein lacking the transmembrane and cytoplasmic domains, and a 6.7 kb deletion spanning the first seven exons has been detected in some human individuals. Presently, there is a lack of data about the distribution of LILRA3 gene deletion in more diverse ethnic groups. Also, no previous studies have investigated the correlation between copy number variation (CNV) of LILRA3 and nasopharyngeal carcinoma (NPC). In this study, five populations from China mainland: two Southern Han populations, Hunan (N = 1478) and Guandong (N = 107); one Southeastern Han population, Fujian (N = 439); and two Northern populations, Inner Mongolia Han (N = 104) and Mongol population from Inner Mongolia (N = 158) were investigated for CNV of LILRA3 using polymerase chain reaction-sequence-specific priming (PCR-SSP) method. LILRA3 variants were also examined in a cohort of NPC cases (N = 1142) in Hunan Han population. The five Chinese populations demonstrated northward increase in frequency of the deleted form of LILRA3 gene (LILRA3*Del) (all corrected p values < 0.05). Inter-population comparison also uncovered significant differentiation in the distribution of CNV of LILRA3 among modern human populations. LILRA3*Del was found to confer significantly reduced risk to NPC in Hunan Han population (at allelic level: OR = 0.79, 95% CI = 0.71-0.89, p < 0.0001; at genotype level: OR = 0.63, 95% CI = 0.51-0.79, p < 0.0001). No interaction was found between LILRA3 variants and HLA-A*02:07, HLA-A*11:01, HLA-B*13 and HLA-B*46:01 alleles in susceptibility to NPC. Our study constitutes the first demonstration of LILRA3 gene as a locus linked to NPC susceptibility in a southern Chinese population. Future independent studies in other populations are warranted to confirm the findings reported in this study., (© 2023 John Wiley & Sons Ltd.)

Introduction: Vegetation plays a crucial role in terrestrial ecosystems, acting as a vital link connecting the lithosphere, hydrosphere, and atmosphere in terms of energy flow and material cycling. Changes in surface vegetation significantly regulate the water cycle, energy flow within terrestrial surfaces, and global carbon balance. Methods: This study focuses on nine major river basins in China to quantitatively investigate the impacts of climate factors, vegetation dynamics, and land use changes on carbon use efficiency (CUE) and water use efficiency (WUE). Results: The primary controlling factors of WUE trends are NDVI (average contribution: 33.75% ± 6.90%) and VPD (average contribution: 28.04% ± 3.98%). NDVI predominates in the Haihe, Yellow River, Yangtze River, Pearl River, and Songliao River basins, while shortwave radiation (Srad) dominates in the southeastern rivers and inland river areas, and humidity (Shum) in the southwestern river basins. For CUE trends, the main controlling factors are Srad (average contribution: 36.46% ± 3.40%) and precipitation (Pre) (average contribution: 26.72% ± 5.20%). NDVI negatively influences the Huaihe River and southeastern river basins, while Pre negatively influences the Songliao River and Yellow River basins, and Srad negatively influences the Huaihe and southwestern river basins. Pre predominates in the Huaihe, Songliao, Haihe, southwestern river basins, and inland river areas, while Srad predominates in the Pearl River, Yangtze River, and Yellow River basins. Discussion: Climate factors and vegetation dynamics have significant regional impacts on WUE and CUE across different river basins, especially the roles of NDVI and VPD on WUE, and Srad and precipitation on CUE. These differences underscore the importance of developing region-specific management strategies to optimize ecosystem services in each basin. [ABSTRACT FROM AUTHOR]

Introduction: Recent research has identified social capital as an essential element of social context that influences the healthy aging experience. Since social capital is a resource that is context and culture relative, this study builds on and extends the existing literature on social capital among older adults by investigating different dimensions of social capital in later life and related individual and environmental characteristics in the Chinese context. Materials & Methods: Using the China Family Panel Study (CFPS) 2016 wave, 8097 individuals aged 60 years and older were included in the sample. Factor analysis was used to explore the dimensions that comprise the social capital of Chinese older adults. Multiple indicators, multiple cause (MIMIC) structural equation models were used to identify influential individual and environmental characteristics. Results: The findings of this study showed that as an interaction between the actor and the multiple levels of the social environment, the social capital of Chinese older adults derived from three levels of social environment—family, community, and macro society. Rural older adults had higher levels of social capital across all three levels. While demographic factors and functioning, including female, age, marital status, education, and functional limitations, had a significant relationship with family‐based social capital, having higher income and better self‐rated health were related to higher level of community‐ and society‐based social capital. Additionally, the physical community environment was a key determinant across all three levels of social capital. Discussion and Conclusion: Findings from this study demonstrate the important roles of neighborhood environment in shaping older adults' all levels of social capital. The findings also identified the unique role of family social capital and the need for policies and practices to reduce the vulnerability associated with a limited ability to adapt to the broader environment. [ABSTRACT FROM AUTHOR]

Background: High nursing staff turnover is a critical issue that negatively impacts the quality of care and patient safety. Turnover intentions, a key predictor of actual turnover, reflect an individual's likelihood of leaving their current position. Understanding the underlying mechanisms driving nurse turnover intentions is crucial for developing targeted interventions to stabilize the nursing workforce globally. Objectives: This study aims to explore the relationship between moral resilience, job burnout, and turnover intentions among nurses, focusing on the mediating role of job burnout in this relationship. Design: This study employed a quantitative, cross-sectional design. Methods: A convenience sample of 322 registered nurses was recruited from two tertiary hospitals in China between August and October 2023. Data were collected using the Chinese version of the Rushton Moral Resilience Scale (Chi-RMRS), the Maslach Burnout Inventory (MBI), and the Turnover Intention Scale. Data analyses were conducted using SPSS 26.0 and Amos 21.0. The study followed the STROBE guidelines for observational research. Ethical consideration: Before the commencement of data collection, the Institutional Review Board of Hunan Traditional Chinese Medical College (YXLL202401004) granted ethical approval. Results: The proposed model exhibited an excellent fit to the data, with fit indices as follows: χ2/df = 1.819, CFI = 0.977, TLI = 0.961, RMSEA = 0.072 (90% confidence interval [CI]: 0.033 to 0.107). The structural equation model revealed that moral resilience was inversely associated with job burnout and turnover intentions. Furthermore, job burnout fully mediated the relationship between moral resilience and turnover intentions (β = −0.473, p = 0.007). Further analysis indicated that the depersonalization component of job burnout was the sole mediator in the relationship between moral resilience and turnover intention (β = -3.934, 95% CI [-5.837, -1.932]). Conclusion: The findings indicate that moral resilience among nurses is negatively associated with turnover intentions, with this effect fully mediated by the depersonalization dimension of job burnout. Enhancing moral resilience in nurses may be valuable strategy for healthcare administrators to mitigate job burnout and subsequently reduce turnover intentions. [ABSTRACT FROM AUTHOR]

Liaoning Province, a crucial agricultural region in Northeast China, has endured frequent drought disasters in recent years, significantly affecting both agricultural production and the ecological environment. Conducting drought research is of paramount importance for formulating scientific drought monitoring and prevention strategies, ensuring agricultural production and ecological safety. This study developed a Comprehensive Joint Drought Index (CJDI) using the empirical Copula function to systematically analyze drought events in Liaoning Province from 1981 to 2020. Through the application of MK trend tests, Morlet wavelet analysis, and run theory, the spatiotemporal variation patterns and recurrence characteristics of drought in Liaoning Province were thoroughly investigated. The results show that, compared to the three classic drought indices, Standardized Precipitation Index (SPI), Evaporative Demand Drought Index (EDDI), and Standardized Precipitation Evapotranspiration Index (SPEI), CJDI has the highest accuracy in monitoring actual drought events. From 1981 to 2020, drought intensity in all regions of Liaoning Province (east, west, south, and north) exhibited an upward trend, with the western region experiencing the most significant increase, as evidenced by an MK test Z-value of −4.53. Drought events in Liaoning Province show clear seasonality, with the most significant periodic fluctuations in spring (main cycles of 5–20 years, longer cycles of 40–57 years), while the frequency and variability of drought events in autumn and winter are lower. Mild droughts frequently occur in Liaoning Province, with joint and co-occurrence recurrence periods ranging from 1.0 to 1.8 years. Moderate droughts have shorter joint recurrence periods in the eastern region (1.2–1.4 years) and longer in the western and southern regions (1.4–2.2 years), with the longest co-occurrence recurrence period in the southern region (3.0–4.0 years). Severe and extreme droughts are less frequent in Liaoning Province. This study provides a scientific foundation for drought monitoring and prevention in Liaoning Province and serves as a valuable reference for developing agricultural production strategies to adapt to climate change. [ABSTRACT FROM AUTHOR]

Achieving food-system sustainability is a multidimensional challenge. In China, a doubling of crop production since 1990 has compromised other dimensions of sustainability 1,2 . Although the country is promoting various interventions to enhance production efficiency and reduce environmental impacts 3 , there is little understanding of whether crop switching can achieve more sustainable cropping systems and whether coordinated action is needed to avoid tradeoffs. Here we combine high-resolution data on crop-specific yields, harvested areas, environmental footprints and farmer incomes to first quantify the current state of crop-production sustainability. Under varying levels of inter-ministerial and central coordination, we perform spatial optimizations that redistribute crops to meet a suite of agricultural sustainable development targets. With a siloed approach-in which each government ministry seeks to improve a single sustainability outcome in isolation-crop switching could realize large individual benefits but produce tradeoffs for other dimensions and between regions. In cases of central coordination-in which tradeoffs are prevented-we find marked co-benefits for environmental-impact reductions (blue water (-4.5% to -18.5%), green water (-4.4% to -9.5%), greenhouse gases (GHGs) (-1.7% to -7.7%), fertilizers (-5.2% to -10.9%), pesticides (-4.3% to -10.8%)) and increased farmer incomes (+2.9% to +7.5%). These outcomes of centrally coordinated crop switching can contribute substantially (23-40% across dimensions) towards China's 2030 agricultural sustainable development targets and potentially produce global resource savings. This integrated approach can inform feasible targeted agricultural interventions that achieve sustainability co-benefits across several dimensions., (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)

Anterior talofibular ligament injuries and osteochondral lesions of the talus present unique challenges to orthopedic surgeons. This study aimed to investigate the relevant relationship between them by analyzing the Magnetic resonance imaging (MRI) results of clinical patients and single-cell RNA sequence (scRNA seq) results of healthy talus cartilage to discuss the risk factors. Data from 164 patients from 2018 to 2023 was retrospectively analyzed. The correlation analysis between ATFL injury grade and the Hepple stage of OLT determined by MRI was performed. Publicly available single-cell RNA datasets were collected. Single-cell RNA datasets from five volunteers of healthy talus cartilage were analyzed. ATFL injury grade was relevant with the Hepple stage of OLT (P < 0.05). The results of multivariate logistic regression analysis showed that injured area was the independent influencing factor of the incidence rate and the severity of OLT (P < 0.05). The Hepple stage of OLT was relevant with AOFAS and VAS (P < 0.05). Single-cell RNA sequence results showed that among the 9 subtypes of chondrocytes, the interaction strength between HTC-A and HTC-B is the highest. Their physical interactions are mainly achieved through the CD99 signaling pathway, and factor interactions are mainly achieved through the ANGPTL signaling pathway. Anterior talofibular ligament injury may lead to osteochondral lesions of the talus. Early medical intervention should be carried out for ligament injuries to restore joint stability and avoid cartilage damage. [ABSTRACT FROM AUTHOR]

Agriculture water use accounts for 70% of the total water withdrawal worldwide. The evapotranspiration during crop growth is one of the important hydrological processes in the agricultural water cycle. This study proposed the concept of artificial irrigation evapotranspiration of irrigated crops to describe that the evapotranspiration caused by irrigation water use. Irrigated crops rely on two kinds of water sources: precipitation and irrigation water. With the construction of irrigation schemes, the artificial irrigation evapotranspiration plays an increasingly important role in the dualistic water cycle system of irrigated cropland. To reveal the amount of artificial irrigation evapotranspiration of 17 categories of irrigated crops in China, this study proposed a new quantitative model system which was established based on traditional evapotranspiration models and soil water balance models. Based on the new model system, we calculated the annual artificial irrigation evapotranspiration of irrigated crops for the period 2013 to 2017 in China. The results showed that the proportion of artificial irrigation evapotranspiration to the total evapotranspiration of irrigated crops was 41.3%, whose value was 228.1 km3 a−1. The artificial irrigation evapotranspiration in different agricultural water management regions were 90.0 km3 a−1 in the northeast region, 86.0 km3 a−1 in the southeast region, and relatively low 52.2 km3a−1 in the west region. The results of this study can provide methods for water management and policy–making in agricultural irrigated areas, and it can also provide a preliminary understanding of the influence of human activities on the dualistic water cycle in cropland. [ABSTRACT FROM AUTHOR]

In recent years, the runoff of numerous rivers has experienced substantial changes owing to the dual influences of climate change and human activities. This study focuses on the Lixian hydrological station's controlled basin, located in the upper reaches of the Jialing River in China. The objective is to assess and quantify the impacts of human activities and climate change on runoff variations. This study analyzed runoff variations from 1960 to 2016 and employed the Soil and Water Assessment Tool (SWAT) model, the long short-term memory (LSTM) model, and eight Budyko framework formulations to assess factors influencing runoff. Additionally, it used the patch-generating land use simulation (PLUS) and SWAT models to simulate future runoff scenarios under various conditions. The results indicate the following. (1) The study area has witnessed a significant decline in runoff (p < 0.01), while potential evapotranspiration shows a significant upward trend (p < 0.01). Precipitation displays a nonsignificant decreasing trend (p > 0.1). An abrupt change point in runoff occurred in 1994, dividing the study period into baseline and change periods. (2) The Budyko results reveal that human activities contributed 50% to 60% to runoff changes. According to the SWAT and LSTM models, the contribution rates of human activities are 63.21% and 52.22%, respectively. Human activities are thus identified as the predominant factor in the decline in runoff. (3) Human activities primarily influence runoff through land cover changes. Conservation measures led to a notable increase in forested areas from 1990 to 2010, representing the most significant change among land types. (4) Future land use scenarios suggest that the highest simulated runoff occurs under a comprehensive development scenario, while the lowest is observed under an ecological conservation scenario. Among the 32 future climate scenarios, runoff increases significantly with a 10% increase in precipitation and decreases substantially with a 15% reduction in precipitation. These findings underscore the significant impact of human activities and climate change on runoff variations in the upper reaches of the Jialing River, highlighting the importance of incorporating both factors in water resource management and planning. [ABSTRACT FROM AUTHOR]

This study investigated the potential effects of changes in inorganics on aerosol water uptake and, thus, on secondary organic aerosol (SOA) formation in wintertime haze based on the size-resolved measurements of non-refractory fine particulate matter (NR-PM 2.5) in Xi'an, northwestern China. The composition of inorganic aerosol showed significant changes in winter 2018–2019 compared to winter 2013–2014, shifting from a sulfate-rich profile to a nitrate-rich profile. In particular, the fraction of sulfate and chloride decreased, but that of nitrate increased in the entire size range, while ammonium mainly increased at larger particle sizes. These changes thus resulted in a size-dependent evolution in water uptake. Increased water uptake was observed in most cases, mainly associated with enhanced contributions of both nitrate and ammonium, with the highest increase ratio reaching 5 %–35 % at larger particle sizes and higher relative humidity (RH>70 %). The non-negligible influence of chloride on aerosol water uptake was also emphasized. The random forest analysis coupled with a Shapley additive explanation algorithm (SHAP) further showed an enhanced relative importance of aerosol water in impacting SOA formation. Aerosol water exhibited a significant contribution to SOA formation during winter 2018–2019, particularly at larger particle sizes. The SHAP value of aerosol water increased alongside higher levels of aerosol water, indicating an enhanced contribution of aerosol water to SOA formation. This implies that the majority of enhanced aerosol water uptake at larger particle sizes and high RH might facilitate the efficient aqueous-phase SOA formation. This study highlights the key role of aerosol water as a medium to link inorganics and organics in their multiphase processes. As challenges to further improve China's air quality remain and because SOA plays an increasing role in haze pollution, these results provide insight into the size-resolved evolution characteristics and offer guidance for future controls. [ABSTRACT FROM AUTHOR]

Global climate change is considered one of the greatest environmental threats in the world. It is expected to significantly change the global hydrological cycle. The two main water cycle components, potential evapotranspiration (PET) and precipitation (P), are closely related to vegetation dynamics. In this study, the partial correlation analysis method was used to analyzed the relationship between Normalized Difference Vegetation Index (NDVI) and climate factors (PET and P) based on grid cells. PET was calculated by FAO-56 Penman-Monteith method. Moreover, we also investigated the NDVI and climate factors in different vegetation cover types. The results showed that grassland, forest and cropland in China were positively correlated with PET and P. The time scales of the maximum partial correlation coefficients between NDVI and PET of grassland vegetation were mostly longer than 5-6 months. These time scales were longer than the time scales related to P. The partial correlation coefficients between NDVI and PET, P of forest vegetation were higher in northern China, whereas the spatial distribution of related time scales was the opposite. The partial correlation coefficients between NDVI and PET, P of forest vegetation were higher in northern China. However, the spatial distribution of related time scales was the opposite. The correlations between NDVI and PET, P of cropland vegetation and the time scales related to PET had clear spatial heterogeneity. The time scale of the correlation between NDVI and P for cropland in the northern China was about 2 months. P had a strong influence on the growth of various types of vegetation in the study area, and grassland vegetation was affected by P over the shortest time scale. We compare and analyze the results of this study with other related studies. These results provide a reference for exploring the dynamic changes in different vegetation types and factors impacting them. [ABSTRACT FROM AUTHOR]

Earth system models (ESMs) participating in the latest Coupled Model Intercomparison Project Phase 6 (CMIP6) simulate various components of fine particulate matter (PM2.5) as major climate forcers. Yet the model performance for PM2.5 components remains little evaluated due in part to a lack of observational data. Here, we evaluate near-surface concentrations of PM2.5 and its five main components over China as simulated by 14 CMIP6 models, including organic carbon (OC; available in 14 models), black carbon (BC; 14 models), sulfate (14 models), nitrate (4 models), and ammonium (5 models). For this purpose, we collect observational data between 2000 and 2014 from a satellite-based dataset for total PM2.5 and from 2469 measurement records in the literature for PM2.5 components. Seven models output total PM2.5 concentrations, and they all underestimate the observed total PM2.5 over eastern China, with GFDL-ESM4 (- 1.5 %) and MPI-ESM-1-2-HAM (- 1.1 %) exhibiting the smallest biases averaged over the whole country. The other seven models, for which we recalculate total PM2.5 from the available component output, underestimate the total PM2.5 concentrations partly because of the missing model representations of nitrate and ammonium. Concentrations of the five individual components are underestimated in almost all models, except that sulfate is overestimated in MPI-ESM-1-2-HAM by 12.6 % and in MRI-ESM2-0 by 24.5 %. The underestimation is the largest for OC (by - 71.2 % to - 37.8 % across the 14 models) and the smallest for BC (- 47.9 % to - 12.1 %). The multi-model mean (MMM) reproduces the observed spatial pattern for OC (R = 0.51), sulfate (R = 0.57), nitrate (R = 0.70) and ammonium (R = 0.74) fairly well, yet the agreement is poorer for BC (R = 0.39). The varying performances of ESMs on total PM2.5 and its components have important implications for the modeled magnitude and spatial pattern of aerosol radiative forcing. [ABSTRACT FROM AUTHOR]

Introduction: According to the reactivity hypothesis and the diathesis-stress model, repeated activation of the stress system has a negative effect on health, and this effect may differ because of individual characteristics. Thus, the present study explores the effect of chronic stress on fatigue and investigates its mechanism. Methods: A questionnaire survey of 288 participants selected from the northwest part of China was conducted (13.89% females; ages ranged from 18 to 34 years, with M  ±  SD  =  23.14  ±  3.79 years) on chronic stress, fatigue, depression, anxiety, and negative emotion differentiation. SPSS 28.0 was used to process descriptive statistics and correlation analysis and the PROCESS macro was used to analyze the moderated chained multi-mediation. Results: Chronic stress was found to be positively correlated with fatigue, depression, and anxiety; depression and anxiety played a chained multimediating role between chronic stress and fatigue, and negative emotion differentiation played a moderating role in the chained multi-mediation model. Discussion: Compared with depression, anxiety plays a more important role in the influence of chronic stress on fatigue. Therefore, it is necessary to pay more attention to anxiety symptoms and take appropriate intervention measures. Negative emotion differentiation plays a moderating role. Improving negative emotion differentiation through mindfulness and adaptive emotion regulation is an effective way to reduce the influence of chronic stress on fatigue. [ABSTRACT FROM AUTHOR]

Assessment of agricultural water requirements under future climate projections has received increasing attention in recent decades. The agriculture pattern of the semi-arid North China Plain is a maize–wheat rotation system in which sufficient irrigation is required to maintain production. In this study, the effects of future climate scenarios on the net irrigation requirement of the maize–wheat rotation system were assessed using the Food and Agriculture Organization crop growth model—AquaCrop. First, the baseline net irrigation requirement over the study region was obtained through AquaCrop simulation under ERA5-Land reanalysis from 2011 to 2020. In addition, the AquaCrop model was used to predict irrigation requirements in future scenarios (2021–2050) under the extreme-emission scenario of the Shared Socioeconomic Pathway SSP 5-8.5 (SSP 5-8.5). Finally, the predicted irrigation amount for maize and wheat during the period 2021–2050 under SSP 5-8.5 was compared with the baseline to assess the interannual change in irrigation water requirement. Results reveal significant agreement between the AquaCrop-derived daily soil moisture (SM) and a reference SM product with unbiased root mean square differences of 0.03 m3/m3 and 0.04 m3/m3 over maize and wheat, respectively. Furthermore, the median net irrigation requirement is expected to increase by approximately 107 mm (21%) to guarantee optimum yield. [ABSTRACT FROM AUTHOR]

Analysis of crop water requirement and its influencing factors are important for optimal allocation of water resources. However, research on variations of climatic factors and their contribution to wheat water requirement in Xinjiang is insufficient. In our study, daily meteorological data during 1961‒2017 in Xinjiang was collected. Penman-Monteith formula and crop coefficient method was adopted to calculate wheat water requirement. Mann-Kendall mutation test and grey correlation degree analysis were used to investigate variation characteristics and correlation degree between climatic factors and wheat water requirement. The results showed that wheat water requirement ranged from 511 to 548 mm (average = 529.5 mm). Spatial distribution of wheat water requirement in Xinjiang presented a pattern of "southeast > Northwest, east > west". Wheat water requirement in most areas of Xinjiang showed a decreasing trend. During the whole growth period of wheat, the top five climatic factors affecting wheat water requirement in Xinjiang were ET 0 , T max , T mean , sunshine duration, and U mean . Precipitation and relative humidity negatively impacted wheat water requirement, while reference crop evapotranspiration (ET 0 ), mean wind speed (U mean ), mean temperature (T mean ), maximum temperature (T max ), minimum temperature, and sunshine duration had positive effects. This study provides a comprehensive basis for the decision making of efficient agricultural water use and irrigation measures in Xinjiang., Competing Interests: Declarations. Competing interest: The authors declare no competing interests., (© 2025. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Intercorrelated aboveground traits associated with costs and plant growth have been widely used to predict vegetation in response to environmental changes. However, whether underground traits exhibit consistent responses remains unclear, particularly in N-rich subtropical forests. Responses of foliar and root morphological and physiological traits of tree and herb species after 8-year N, P, and combined N and P treatments (50 kg N, P, N and P ha -1  year -1 ) were examined in leguminous Acacia auriculiformis (AA) and nonleguminous Eucalyptus urophylla (EU) forests in southern China. N addition did not significantly impact all leaf and root traits except root N concentration per root length. Root traits responded to P addition more than leaf traits in trees; however, both traits responded similarly to P addition in herbs. Tree species deviated from the expected leaf economics spectrum; however, all species aligned with the root economics spectrum. The P and combined N and P treatments significantly altered the position of principal components analysis of root functional traits for herb species compared to the control. However, these changes did not reflect a classic shift in nutrient acquisition strategy within the root economics spectrum. As leguminous species experienced greater P limitation, AA responded more to P addition than EU; their understories indicated no significant differences. This study reveals how plant aboveground and underground traits adapt to nutrient-rich environments. These findings highlight the importance of incorporating plant underground traits, which show significant and specific responses to nutrient additions, into Earth system models for accurately predicting plant responses to global change., (© 2025 The Ecological Society of America.)

The Anthropocene exerts various pressures and influences on the stability and function of the Earth's ecosystems. However, our understanding of how the microbiome responds in form and function to these disturbances is still limited, particularly when considering the phyllosphere, which represents one of the largest microbial reservoirs in the terrestrial ecosystem. In this study, we comprehensively characterized tree phyllosphere bacteria and associated nutrient-cycling genes in natural, rural, suburban, and urban habitats in China. Results revealed that phyllosphere bacterial community diversity, richness, stability, and composition heterogeneity were greatest at the most disturbed sites. Stochastic processes primarily governed the assembly of phyllosphere bacterial communities, although the role of deterministic processes (environmental selection) in shaping these communities gradually increased as we moved from rural to urban sites. Our findings also suggest that human disturbance is associated with the reduced influence of drift as increasingly layered environmental filters deterministically constrain phyllosphere bacterial communities. The intensification of human activity was mirrored in changes in functional gene expression within the phyllosphere microbiome, resulting in enhanced gene abundance, diversity, and compositional variation in highly human-driven disturbed environments. Furthermore, we found that while the relative proportion of core microbial taxa decreased in disturbed habitats, a core set of microbial taxa shaped the distributional characteristics of both microbiomes and functional genes at all levels of disturbance. In sum, this study offers valuable insights into how anthropogenic disturbance may influence phyllosphere microbial dynamics and improves our understanding of the intricate relationship between environmental stressors, microbial communities, and plant function within the Anthropocene., (© 2024 The Author(s). New Phytologist © 2024 New Phytologist Foundation.)

Aims: To assess the level of mental workload (MWL) of intensive care unit (ICU) nurses in performing different human-machine tasks and examine the predictors of the MWL., Design: A cross-sectional questionnaire study., Methods: Between January and February 2021, data were collected from ICU nurses (n = 427) at nine tertiary hospitals selected from five (east, west, south, north, central) regions in China through an electronic questionnaire, including sociodemographic questions, the National Aeronautics and Space Administration Task Load Index, General Self-Efficacy Scale, Difficulty-assessing Index System of Nursing Operation Technique, and System Usability Scale. Descriptive statistics, t-tests, one-way ANOVA and multiple linear regression models were used., Results: ICU nurses experienced a medium level of MWL (score 52.04 on a scale of 0-100) while performing human-machine tasks. ICU nurses' MWL was notably higher in conducting first aid and life support tasks (using defibrillators or ventilators). Predictors of MWL were task difficulty, system usability, professional title, age, self-efficacy, ICU category, and willingness to study emerging technology actively. Task difficulty and system usability were the strongest predictors of nearly all typical tasks., Conclusion: ICU nurses experience a medium MWL while performing human-machine tasks, but higher mental, temporal, and effort are perceived compared to physical demands. The MWL varied significantly across different human-machine tasks, among which are significantly higher: first aid and life support and information-based human-machine tasks. Task difficulty and system availability are decisive predictors of MWL., Impact: This is the first study to investigate the level of MWL of ICU nurses performing different representative human-machine tasks and to explore its predictors, which provides a reference for future research. These findings suggest that healthcare organizations should pay attention to the MWL of ICU nurses and develop customized management strategies based on task characteristics to maintain a moderate level of MWL, thus enabling ICU nurses to perform human-machine tasks better., Patient or Public Contribution: No patient or public contribution., (© 2024 John Wiley & Sons Ltd.)

With global warming, the risk of human exposure to extreme climates increases, profoundly impacting sustainable development. Using rapidly developing China as an example, this study estimates the exposure of urban land to drought and flood based on historical and future climate and land data. The results show that the area of urban land exposed to drought in China generally decreases in the future. However, the area exposed to flood sharply increases in the mid- and long-term future, except for the near future. There is heterogeneity in the changes in urban land exposure under different levels of drought and flood. The changes in exposure areas under different future scenarios show spatial differences and an overall trend of spatial aggregation. Climate factors are the main drivers of changes in the area exposed to drought and flood. The findings can provide important references for policy-making and urban land management in response to extreme climate change., Competing Interests: Declarations. Competing interests: The authors declare no competing interests., (© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Cohort evidence linking long-term survival of older adults with exposure to fine particulate matter (PM 2.5 ) constituents remains scarce in China. By constructing a dynamic cohort based on the Chinese Longitudinal Healthy Longevity Study, we aimed to assess the individual and joint associations of major PM 2.5 constituents with all-cause death in Chinese oldest-old (.80 years) adults. Time-dependent Cox proportional hazards models were adopted to estimate death risks of long-term exposure to PM 2.5 constituents. Among 14,884 participants, totaling 56,342 person-years of follow-up, 12,346 deaths were identified. The highest mortality risk associated with an interquartile range (IQR) increase in exposure was 1.081 (95% confidence interval [CI]: 1.055-1.108) for sulfate (IQR=4.1 μg m -3 ), followed by 1.078 (95% CI: 1.056-1.101) for black carbon (IQR=1.6 μg m -3 ), 1.056 (95% CI: 1.028-1.084) for ammonium (IQR=3.2 μg m -3 ), 1.050 (95% CI: 1.021-1.080) for nitrate (IQR=5.8 μg m -3 ), and 1.049 (95% CI: 1.024-1.074) for organic matter (IQR=10.3 μg m -3 ). In joint exposure, each IQRequivalent rise of all five PM 2.5 constituents was associated with an 8.2% (95% CI: 4.0%-12.6%) increase in mortality risk. The weight analysis indicated the predominant role of sulfate and black carbon in driving PM 2.5 -related mortality. Octogenarians (aged 80-89 years) and rural dwellers were at significantly greater risk of mortality from individual and joint exposures to PM 2.5 constituents. This study suggests that later-life exposure to PM 2.5 constituents, particularly sulfate and black carbon, may curtail long-term survival of the oldest-old in China., Competing Interests: Compliance and ethics. The authors confirm that there are no known competing financial interests or personal relationships that could have influenced the integrity of the work presented in this paper., (© 2024. Science China Press.)

This article studies the economic impact of China and the U.S. from 2011 to 2023 through stock market linkages. A bivariate VAR model is used for nonlinear Granger causality analysis. The results show that the U.S. economy's dominance remains unshaken, impacting the world economy. Despite China's progress and significant role in the global economy, it cannot yet impact the U.S. economy. Understanding this is crucial for global economic patterns, the political state, and enriching global economic stability and development. [ABSTRACT FROM AUTHOR]

The breathless development of Chinese society has increased the demand for mental health services. Private practice mental health counselors are vulnerable to compassion fatigue, which can affect their personal well-being and the quality of services they provide. However, there is a notable scarcity of research focusing on compassion fatigue among this group. This study aimed to contribute to the field by providing a comprehensive profile of private practice mental health counselors in China, offering the first assessment of their compassion fatigue level, and examining the specific impact of characteristic variables on this phenomenon. A total of 109 counselors completed the Compassion Fatigue Short-Scale (CFSS) and a demographic characteristic form. The findings revealed a counseling group with limited maturity and professionalism, primarily holding bachelor's degrees, working part-time, and having limited experience in practice and supervision. The levels of compassion fatigue were found to be moderate to mild, with educational level and years of practice serving as negative predictors. The findings would enhance the understanding of the profile of private practice counselors in China, supporting the development of interventions to address compassion fatigue for local practice. [ABSTRACT FROM AUTHOR]

We have developed an automatic regional focal mechanism inversion system based on the Earthquake Rapid Report (ERR) system and the real-time three-component seismic waveform stream of 1 000 broadband seismic stations provided by the China Earthquake Networks Center (CENC). The system can rapidly provide a double couple solution and centroid depth within 5-15 min after receiving earthquake information from the ERR system. The data processing is triggered by earthquake information obtained from the ERR system. The system is capable of determining the focal mechanism of all shallow-depth earthquakes in the Chinese mainland with a magnitude of 5.5-6.5. It utilizes waveform data recorded by seismic stations located within 500 km from the epicenter, enabling the reporting of a focal mechanism solution within 5-15 min of an earthquake occurrence. Additionally, the system can assign a corresponding grade (A B C) to the focal mechanism solution. We processed a total of 301 earthquakes that occurred from 2021 to June 2022, and after the quality control, 166 of them were selected. These selected solutions were manually checked, and 160 of them were compiled in a focal mechanism catalog. This catalog can be conveniently downloaded online via the Internet. The automatic focal mechanism solution of earthquakes in eastern China exhibits a good agreement with that provided by the Global Centroid Moment Tensor (GCMT), when available. The average Kagan angle between this catalog and GCMT is 22°, and the average difference in MW is 0.17. Furthermore, compared with GCMT, the minimum magnitude of our catalog has been reduced from approximately 5.0 to 4.0. The correlation between the centroid depth and crustal thickness in the Chinese mainland confirms the distribution of the centroid depth. [ABSTRACT FROM AUTHOR]

The development of machine learning technology enables more robust real-time earthquake monitoring through automated implementations. However, the application of machine learning to earthquake location problems faces challenges in regions with limited available training data. To address the issues of sparse event distribution and inaccurate ground truth in historical seismic datasets, we expand the training dataset by using a large number of synthetic envelopes that closely resemble real data and build an earthquake location model named ENVloc. We propose an envelope-based machine learning workflow for simultaneously determining earthquake location and origin time. The method eliminates the need for phase picking and avoids the accumulation of location errors resulting from inaccurate picking results. In practical application, ENVloc is applied to several data intercepted at different starting points. We take the starting point of the time window corresponding to the highest prediction probability value as the origin time and save the predicted result as the earthquake location. We apply ENVloc to observed data acquired in the southern Sichuan Basin, China, between September 2018 and March 2019. The results show that the average difference with the catalog in latitude, longitude, depth, and origin time is 0.02°, 0.02°, 2 km, and 1.25 s, respectively. These suggest that our envelope-based method provides an efficient and robust way to locate earthquakes without phase picking, and can be used in earthquake monitoring in near-real time. [ABSTRACT FROM AUTHOR]

Drought events have become more frequent and intense over East Asia in recent decades, leading to huge socioeconomic impacts. Although the droughts have been studied extensively by cases or for individual regions, their leading variability and associated causes remain unclear. Based on the Standardized Precipitation Evapotranspiration Index (SPEI) and ERA5 reanalysis product from 1979 to 2020, this study evealuates the severity of spring droughts in East Asia and investigates their variations and associated drivers. The results indicate that North China and Mongolia have experienced remarkable trends toward dryness during spring in recent decades, while southwestern China has witnessed an opposite trend toward wetness. The first Empirical Orthogonal Function mode of SPEI variability reveals a similar seesawing pattern, with more severe dryness in northwestern China, Mongolia, North China, South Korea, and Japan but increased wetness in Southwestern China and southeast Asia. Further investigation reveals that the anomalously dry (wet) surface in North (Southwestern) China is significantly associated with anomalously high (low) temperature, less (more) precipitation, and reduced (increased) soil moisture during the previous winter and early spring, regulated by an anomalous anticyclone (cyclone) and thus reduced (increased) water vapor convergence. The spring dry-wet pattern in East Asia is also linked to cold sea surface temperature anomalies in the central-eastern Pacific. The findings of this study have important implications for improving the prediction of spring drought events in East Asia. [ABSTRACT FROM AUTHOR]

Recent advances in the microbial degradation of persistent organic pollutants have the potential to mitigate the damage caused by anthropogenic activities that are harmfully impacting agriculture soil ecosystems and human health. In this paper, we summarize the pollution characteristics of neonicotinoid insecticides (NNIs) in agricultural fields in China and other countries and then discuss the existing research on screening for NNI-degrading functional bacterial strains, their degradation processes, the construction of microbial consortia, and strategies for their application. We explore the current needs and solutions for improving the microbial remediation rate of NNI-contaminated soil and how these solutions are being developed and applied. We highlight several scientific and technological advances in soil microbiome engineering, including the construction of microbial consortia with a broad spectrum of NNI degradation and microbial immobilization to improve competition with indigenous microorganisms through the provision of a microenvironment and niche suitable for NNI-degrading bacteria. This paper highlights the need for an interdisciplinary approach to improving the degradation capacity and in situ survival of NNI-degrading strains/microbial consortia to facilitate the remediation of NNI-contaminated soil using strains with a broad spectrum and high efficiency in NNI degradation. [ABSTRACT FROM AUTHOR]

Accurately ascertaining the S-wave arrival times of microseismic signals is crucial for improving the accuracy with which microseismic events can be located. However, the first arrival of an S-wave is often overlapped by the P-wave which can make it difficult to accurately determine the arrival time of the S-wave in tunnels. Therefore, an accurate method for determining the S-wave arrival time of microseismic signals in tunnels is urgently needed. In this paper, a novel method is proposed based on the instantaneous phase difference intensity (IPDI) of the S-wave between two microseismic sensors. The peaks in the IPDI directly indicate the first breaking of an S-wave thus allowing the arrival time of the S-wave to be identified. Tests using synthetic signals verify that the IPDI method can correctly determine the arrival time of an S-wave when the first break of the S-wave is overlapped by the P-wave. The IPDI method was further applied to microseismic monitoring in a deeply buried tunnel in the Jinping II hydropower station in China. The IPDI peaks were found to successfully highlight the arrival of S-waves that could not be determined manually. The location accuracy of rockburst and microseismic events was thus significantly improved using the new IPDI method. Highlights: A novel index (IPDI) is introduced to highlight the first break of microseismic S-wave based on the instantaneous phase of sensors. The IPDI method can identify the S-wave arrival time even in near-field MS monitoring cases where S- and P waves overlap. The IPDI-picked S-wave arrival time substantially improves the MS location accuracy. [ABSTRACT FROM AUTHOR]

Meteorological drought, especially when influenced by human activities, significantly impacts agriculture. We assessed the Yangtze River Basin (YRB)'s crop ecosystem resilience during the 2022 southern China drought. Using the elasticity framework, we quantified crop Leaf Area Index (LAI) changes with meteorological factors and human activities (irrigation) in the YRB. Our study covered maize, wheat, early and late‐season rice, evaluating model accuracy with and without irrigation. Results indicate high accuracy (R2 > 0.8, p < 0.05) in simulating LAI changes, notably improved with irrigation. Irrigation emerged as the primary driver of LAI changes in the past two decades, except for solar radiation's impact on maize. In 2022, irrigation crucially influenced LAI changes, particularly in rice varieties. Early‐season rice and late‐season rice saw over 40% contribution from irrigation, while maize and wheat responded mainly to precipitation and radiation. Overall, 2022 yields remained stable, with late‐season rice showing an apparent increase. Drought timing correlated with maize, wheat, and early‐season rice yields, consistent with natural patterns. Conversely, late‐season rice exhibited the opposite pattern due to artificial irrigation, impacting 58% of the growing areas in 2022. The study offers insights into investigating farmland ecosystems responding to extreme droughts. Plain Language Summary: Drought, a natural disaster that has long impacted agriculture, has become more frequent and severe due to global warming. In China, droughts have traditionally affected the northern regions, but recent years have seen an increase in occurrence in the southern regions as well. The Southern Drought of 2022 was considered the worst drought in the Yangtze River Basin (YRB) since 1961. This study investigates the resilience of agricultural systems in the YRB during the severe drought of 2022. It examines the factors influencing crop Leaf Area Index variations and the impact of climate and human activities, such as irrigation. Findings deepen our understanding of drought effects on agriculture and highlight the crucial role of human irrigation interventions. Despite the severe drought, crop yields did not substantially decline, largely due to human interventions increasing late‐season rice yields. These findings have significant implications for sustainable agriculture. Key Points: Climate and irrigation both significantly impact crop Leaf Area Index (LAI) variations in the Yangtze River Basin (YRB), with irrigation being a major contributorIrrigation dominants and enhances agricultural resilience in the 2022 extreme drought in YRBOver 50% LAI change of rice driven primarily by irrigation, while maize and wheat are by precipitation and radiation respectively in 2022 [ABSTRACT FROM AUTHOR]

Purpose: Augmentation is a major complication of long-term pramipexole treatment of restless legs syndrome (RLS). However, there have been no studies on augmentation in Chinese patients with RLS. We therefore investigated the clinical characteristics of augmentation in RLS patients treated with pramipexole in a real-world Chinese setting., Methods: This study was an observational, retrospective assessment of 103 patients with RLS, who had been continuously treated with pramipexole for at least one month between January 2016 and December 2018 in a tertiary hospital in East China. Demographic data and disease and drug treatment information were collected from electronic medical records and telephone interviews to analyze the rate and clinical features of augmentation. Augmentation was confirmed by Max Planck Institute criteria. Comparisons were made between patients with and without augmentation., Results: Fifteen patients (15%) were classified as having augmentation. Compared to RLS patients without augmentation, more patients with augmentation switched from other dopaminergic drugs (P<0.05) and had a longer duration of RLS symptoms before pramipexole treatment (P<0.05). In addition, patients with augmentation had a longer duration (P<0.05) and higher dosage (P<0.05) of pramipexole than those without augmentation. Augmentation was possibly associated with pramipexole tolerance (P<0.01)., Conclusion: The augmentation rate of the Chinese RLS patients in our study was 15%. Augmentation may be associated with switching from other dopaminergic drugs, long disease duration before pramipexole use, the dose and duration of pramipexole, and tolerance to pramipexole., (© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Irrigated artificial grasslands can help in achieving a large amount of forage in the Inner Mongolia typical steppe areas of China. However, developing irrigated artificial grasslands requires the consumption of water resources, and also affects the hydrological cycle. In this study, mapping evapotranspiration at high resolution with internalized calibration (METRIC) model has been used to estimate regional evapotranspiration during the crop growth season (from May to September) in irrigated artificial grasslands in 2011. The results were verified based on the data obtained from eight monitoring points of irrigated silage maize farms using water balance method, with a mean relative error value of 13.8%. The average evapotranspiration for irrigated artificial grasslands during the crop growth season is 611.42 mm. To further analyze the consumption of local water resources, concept of groundwater consumption (GW) is proposed. The GW value for irrigated artificial grasslands during the crop growth season was estimated to be 457.96 mm; the GW values at each of these farms, including Woyuan cow, Maodeng, Baiyinxile, Hezhongmumin, exceeded 400 mm. The results show that these areas, which exhibit high water consumption face difficulties in water resource management, particularly when there is no external water supply. [ABSTRACT FROM AUTHOR]

International education has become increasingly challenging to manage in an unpredictable world beset by pandemics, regional disputes, and evolving market practices. The last few decades have seen a huge demand for international education in China, and numerous acclaimed international brand names set up operations in China's K12 schooling sector. However, the COVID-19 pandemic exerted a noticeably negative impact on international high schools and their staff in China, and exacerbated a difficult period of management for these institutions. Interestingly, but perhaps unsurprisingly, the actual operation of these educational workplaces remains under investigated in academic studies. This paper therefore attempts to examine international high schools in China by focusing on their teachers and their associated employment motivation, job satisfaction, and dissatisfaction which has been perceptibly influenced by the impact of the COVID-19 pandemic. Through a qualitative, case-study approach which adopted semi-structured interviews, an acclaimed British high school, now closed, was investigated. The study found that international high school teachers were driven by diverse work motives such as the school's reputation, values, salary, environment, and chances for career development. Their job satisfaction was also multi-faceted, and their dissatisfaction in certain areas concerning. That is, they derived an early satisfaction from a range of facets, such as the students, class sizes, initial workloads, autonomy and collegiality. However, these early feelings were replaced by a sense of dissatisfaction and noticeable unhappiness resulting from leadership changes and subsequent management practices, increased workload, unmet employment package expectations and obligations, as well as limited professional development opportunities. This study highlights the importance of recruiting well, generating the right starting and longer-term conditions, retaining key staff and managing astutely. The work will be of interest to policy makers, investors, leaders, managers and staff alike. It will also extend educational research in the areas of teacher motivation, satisfaction and dissatisfaction, and in particular in China in international K12 settings. [ABSTRACT FROM AUTHOR]

Revegetation is one of the most effective ways to combat desertification and soil erosion in semiarid and arid regions. However, the impact of the perturbation of revegetation on ecohydrological processes, particularly its effects on the interplay between hydrological processes and vegetation growth under water stress, requires further investigation. This study evaluated the effects of revegetation on the energy, water, and carbon fluxes in a desert steppe in Yanchi County, Ningxia Province, northwest China, by simulating two vegetated scenarios (shrub–grassland ecosystem and grassland ecosystem) using the STEMMUS–SCOPE (Simultaneous Transfer of Energy, Mass and Momentum in Unsaturated Soil–Soil Canopy Observation of Photosynthesis and Energy fluxes) model. The model was validated by field observations from May to September of 2016–2019. The evaluation of revegetation effects relied on comparing simulated fluxes between two vegetated scenarios in 2016 and 2019. In both scenarios, turbulent energy was dominated by latent heat flux, which was stronger in the shrub–grassland ecosystem (+ 7 %). A higher leaf area index and root water uptake of C 3 shrubs (Caragana intermedia) resulted in increased carbon fixation (+ 83 %) and transpiration (+ 72 %) of the shrub–grassland ecosystem compared to the C 3 grassland ecosystem. Accompanied by a marked increase in root water uptake (+ 123 %), revegetation intensified water consumption beyond the levels of received precipitation. These results highlight the critical importance of considering both energy and water budgets in water-limited ecosystems during ecological restoration to avert soil water depletion. [ABSTRACT FROM AUTHOR]

This study examines the long‐term impacts of early coal mining on human capital outcomes. Based on coal mines across 260 prefectures in late Qing China (c.1840–1912), we find that early coal mining led to a significant rise in schooling years in 2000. We trace the historical channels and show that the influence of early coal mining has persisted through and helped shape the modernization of China, which includes local industrialization and a complimentary supply of educational infrastructure. These results suggest that in contrast to other grabbing mineral extraction, inclusive coal mining systems benefit long‐term human capital accumulation and economic growth, not mining activity per se. [ABSTRACT FROM AUTHOR]

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This study examined whether trajectories of perceived unmet needs for Home and Community-Based Services (HCBS) were associated with life satisfaction among Chinese older adults and whether the association was moderated by psychological resilience. Data came from five waves (2005-2018) of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Latent class growth analysis revealed three distinct trajectories of perceived unmet HCBS needs: "increasing" (n = 977, 36.24%), "persistent" (n = 570, 21.14%), and "decreasing" (n = 1149, 42.62%). Multiple regression estimates showed that the increasing group was associated with lower life satisfaction, and the association was moderated by psychological resilience, especially for older adults who were male, living in rural, and oldest-old. Results indicate that inequalities in cumulative exposure to perceived unmet HCBS needs may further lead to increasing inequalities in life satisfaction. Interventions focused on minimizing the provision-need gap of HCBS and enhancing personal resilience should be considered to improve the life satisfaction of older adults. [ABSTRACT FROM AUTHOR]

The high spatial and temporal resolution of recently developed evapotranspiration (ET) products facilitates agricultural water-savings in irrigated areas as well as improved estimates of crop yield, especially in arid and semi-arid regions. However, cloud cover interferes with ET estimates, in particular when using thermal-infrared-based models in temperate and tropical regions. Previous studies have shown that the two-source energy balance (TSEB) model coupled with soil moisture (TSEB-SM) has great potential for estimating surface ET by overcoming this issue. In this study, the TSEB-SM model was first used to generate a spatiotemporally continuous 1 km daily ET dataset across the Heihe River Basin in China from 2000 to 2020, which was then evaluated against four spatially distributed sites (Arou, Huazhaizi, Daman, and Sidaoqiao) and further compared with the two most widely used daily ET datasets (PML-V2 (Penman–Monteith–Leuning) and SEBAL (surface energy balance algorithm for land)). The results showed that the newly developed ET dataset agrees well with ground-based observations and outperforms the PML-V2 and SEBAL products in precisely characterizing the seasonal fluctuations and spatial distribution as well as the spatiotemporal trends of ET. In particular, ET in the Heihe River Basin exhibits clear regional differences. The upstream and midstream grassland and irrigated oasis areas provide much higher annual ET than the downstream desert areas, with a difference of up to 600 mm/year. A three-cornered hat (TCH)-based pixel-by-pixel analysis further demonstrated that the TSEB-SM and PML-V2 products have substantially smaller relative uncertainties as compared to SEBAL ET. In general, the proposed ET datasets are expected to be more beneficial for irrigation scheduling and to provide more efficient water management across the Heihe River Basin. [ABSTRACT FROM AUTHOR]

Hundreds of millions of internal migrants are present in cities in the developing world. Accurately predicting their commuting mode choice and clarifying the effect size of the influencing factors have become increasingly indispensable for formulating and executing socially inclusive transportation plans and policies. Yet, scholarship on internal migrants' travel mode choice is still scarce, particularly in the context of developing country. This study attempts to partly fill this gap. Using empirical data from Xiamen, China, it applies the Light Gradient Boosting (LightGBM) approach, a high-efficiency and high-performance machine learning framework, to predict the commuting mode choice of both the internal migrants and locals. The results show that (1) The built environment has larger impacts on locals' mode choice than on migrants'; (2) For both the migrants and locals, the relative importance of the built environment in predicting commuting mode choice exceeds that of socio-demographics and trip characteristics; (3) Distance to the closest commercial center is the most important factor influencing commuting mode choice of both groups, and bus stop density also contributes a great deal; hence, regional accessibility and transit infrastructure can be given higher priority in intervening the commuting behaviors of migrants and locals. (4) The LightGBM models yield rather high prediction accuracy; their results are further compared with those of conventional discrete choice models and are found to be generally consistent with the latter. Those findings can help inform decision-makers about nuanced policies concerning meeting locals' and migrants' travel demands. [ABSTRACT FROM AUTHOR]

Accurately estimated reference evapotranspiration (ET0) is essential to regional water management. The FAO recommends coupling the Penman–Monteith (P‐M) model with the Ångström–Prescott (A‐P) formula as the standard method for ET0 estimation with missing Rs measurements. However, its application is usually restricted by the two fundamental coefficients (a and b) of the A‐P formula. This paper proposes a new method for estimating ET0 with missing Rs by combining machine learning with physical‐based P‐M models (PM‐ET0). The benchmark values of the A‐P coefficients were first determined at the daily, monthly, and yearly scales, and further evaluated in Rs and ET0 estimates at 80 national Rs measuring stations. Then, three empirical models and four machine‐learning methods were evaluated in estimating the A‐P coefficients. Machine learning methods were also used to estimate ET0 (ML‐ET0) to compare with the PM‐ET0. Finally, the optimal estimation method was used to estimate the A‐P coefficients for the 839 regular weather stations for ET0 estimation without Rs measurement for China. The results demonstrated a descending trend for coefficient a from northwest to southeast China, with larger values in cold seasons. However, coefficient b showed the opposite distribution as the coefficient a. The FAO has recommended a larger a but a smaller b for southeast China, which produced the region's largest Rs and ET0 estimation errors. Additionally, the A‐P coefficients calibrated at the daily scale obtained the best estimation accuracy for both Rs and ET0, and slightly outperformed the monthly and yearly coefficients without significant difference in most cases. The machine learning methods outperformed the empirical methods for estimating the A‐P coefficients, especially for the sites with extreme values. Further, ML‐ET0 outperformed the PM‐ET0 with yearly A‐P coefficients but underperformed those with daily and monthly ones. This study indicates an exciting potential for combining machine learning with physical models for estimating ET0. However, we found that using the A‐P coefficients with finer time scales is unnecessary to deal with the missing Rs measurements. [ABSTRACT FROM AUTHOR]

The future state of drought in China under climate change remains uncertain. This study investigates drought events, focusing on the region of China, using simulations from five global climate models (GCMs) under three Shared Socioeconomic Pathways (SSP1-2.6, SSP3-7.0, and SSP5-8.5) participating in the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3b). The daily Standardized Precipitation Evapotranspiration Index (SPEI) is employed to analyze drought severity, duration, and frequency over three future periods. Evaluation of the GCMs' simulations against observational data indicates their effectiveness in capturing historical climatic change across China. The rapid increase in CO2 concentration under high-emission scenarios in the mid- and late-future century (2040–2070 and 2071–2100) substantially influences vegetation behavior via regulation on leaf stomata and canopy structure. This regulation decelerates the increase in potential evapotranspiration, thereby mitigating the sharp rise in future drought occurrences in China. These findings offer valuable insights for policymakers and stakeholders to develop strategies and measures for mitigating and adapting to future drought conditions in China. [ABSTRACT FROM AUTHOR]

Voice highlights important issues in the workplace, but it may be malfunctional if recipients do not possess the adequate mastery to act on the feedback received. Our research draws on the control value theory of emotions to explain how appraisals and affective processes shape employees' adaptive or maladaptive responses to challenge‐oriented voices from their coworkers. We contend that constructive (destructive) coworker voice activates a positive (negative) affective state more strongly in recipients who perceive higher (vs. lower) behavioral control because they will attribute greater personal responsibility over the voice content. We also expect the affective states to predict interpersonal citizenship behavior and work withdrawal behavior more strongly in recipients with lower (vs. higher) emotional control due to their greater susceptibility to the influences of affective states. The results from three‐wave, multi‐source data collected from 307 insurance sales representatives support most of our hypotheses, except that perceived behavioral control does not moderate the link between destructive coworker voice and employee negative affective state. The findings extend voice literature by taking a recipient perspective on how and why they react differently to constructive or destructive coworker voice, and offer practical suggestions for facilitating optimal behavioral responses to coworker voice in an applied setting. [ABSTRACT FROM AUTHOR]

The synchronicity of rain and heat in the summer of China's monsoon region provides sufficient water and heat resources for maize growth. However, the intra-annual distribution of precipitation and the probability of extreme precipitation have been inevitably altered by the ongoing climate change, thus affecting the matching degree between precipitation and crop water requirements (MDPCWR). Evaluating the extent to which the MDPCWR will change in the future is of great importance for food security and the sustainable management of water resources. In this study, considering that different growth stages of crops have different sensitivities to water stress, the AquaCrop model was used to calculate the MDPCWR more accurately. In addition, a cumulative distribution function-transform (CDF-t) method was used to remove the bias of 11 global climate models (GCMs) under two typical emission scenarios (SSP2-4.5 and SSP5-8.5) from phase six of the Coupled Model Intercomparison Project (CMIP6). A comprehensive investigation was conducted on how maize growth, water consumption, and the MDPCWR will respond to future climate change with CO2 concentration enrichment in the Huang–Huai–Hai (3H) region in China by driving a well-tested AquaCrop model with the bias-corrected GCMs outputs. The results indicate the following: (1) The CDF-t method can effectively remove seasonal bias, and it also performs well in eliminating the bias of extreme climate events. (2) Under the SSP2-4.5 scenario, the average maximum temperature will increase by 1.31 °C and 2.44 °C in 2021–2050 and 2051–2080, respectively. The average annual precipitation will increase up to 96.8 mm/year, but it will mainly occur in the form of heavy rain. (3) The increased maize evapotranspiration rate does not compensate for the decreased crop water requirement (up to −32 mm/year), due to a shorter growth cycle. (4) The farmland cultivation layer is not able to hold a significant amount of precipitation, due to the increased frequency of heavy rains, resulting in increased irrigation water requirements for maize over the next two periods, with the maximum value of 12 mm/year. (5) Under different scenarios, the projected future MDPCWR will decrease by 9.3–11.6% due to changes in precipitation patterns and crop water requirements, indicating that it will be more difficult for precipitation to meet the water demand of maize growing in the 3H region. The results can provide comprehensive information to understand the impact of climate change on the agricultural water balance and improve the regional strategy for water resource utilization in the 3H region. [ABSTRACT FROM AUTHOR]

Reconstruction and observational studies imply a potential linkage of moisture and precipitation change in arid central Asia and monsoonal East Asia, in which the evolution of moisture and precipitation in central Asia is out of phase with that in northern China but in phase with that in southern China. In order to ascertain whether there is a robust linkage between the changes in climate in Asian arid regions and monsoon regions and to elucidate the underlying dynamic mechanisms, we analyzed the Last Millennium Reanalysis dataset and outputs from the Community Earth System Model Last Millennium Ensemble (CESM-LME). The results indicate a significant decadal linkage between precipitation changes in central Asia's arid region and the Asian monsoon region during the last millennium, which is primarily driven by the Interdecadal Pacific Oscillation (IPO). In spring, the positive IPO could enhance westerlies over the Mediterranean Sea and to its east, which could transport more water vapor and cause increased precipitation over central Asia. In summer, the positive IPO is accompanied by a weakened Asian monsoon and southward Asian subtropical westerly jet, which can lead to increased (decreased) summer precipitation over southern China (over northern China and South Asia). The IPO plays a dominant role in connecting the decadal variations in precipitation between arid central Asia and monsoonal Asia by modulating the precipitation of their respective major rainy seasons. Model results suggest that this decadal linkage stems entirely from the internal variability present in the CESM-LME control and all single-forcing simulations. Changes in external forcing factors do not alter this inherent linkage caused by the IPO. Moreover, based on analyses of the aridity index and soil moisture content, this relationship of precipitation variation also causes a similar decadal linkage of moisture changes in central Asia and monsoonal Asia. The differences in the multi-centennial-scale moisture and precipitation variations in the Asian arid region and the monsoon region between the Medieval Climate Anomaly and Little Ice Age are also likely caused by IPO-like sea surface temperature anomalies. [ABSTRACT FROM AUTHOR]

As the main expenditure item in water balance, evapotranspiration has an important impact on the surface ecosystem. Assessing the impact of changes in meteorological elements on evapotranspiration is essential to identify the spatiotemporal heterogeneity of hydrographic responses to climate changes. Based on the actual evapotranspiration (ETa) product (GPR-ET) generated by Gaussian process regression (GPR), as well as temperature and precipitation datasets, our study employed various statistical analysis methods, including geographic detector, the center of gravity migration model, spatial variation coefficients, and partial differential models, to investigate the spatiotemporal variation in ETa in China from 2000 to 2018. The analysis covered future trends in ETa changes and the contribution of meteorological factors. Our results showed that the ETa in northwest China had stronger spatial heterogeneity and the mean value was generally lower than that in the southeast. But the center of gravity of ETa was shifting towards the northwest. In most areas, the future trend was expected to be inconsistent with the current stage. ETa in the regions of north and west was mainly driven by precipitation, while its increase in southeast China was largely attributed to temperature. In addition to spatial variations, the joint enhancement effect of temperature and precipitation on ETa exists. According to the contribution analysis, precipitation contributed more to the change in ETa than temperature. These findings have enhanced our comprehension of the contribution of climate variability to ETa changes, providing scientific proof for the optimization apportion of future water resources. [ABSTRACT FROM AUTHOR]

Evaporation from impervious surfaces plays a vital role in the catchment water cycle. Exploring the spatiotemporal variation patterns and influencing mechanisms of impervious surface evaporation at the catchment scale can improve the understanding and evaluation of the evaporation process. This study downloaded 0.5 m resolution images of the Baiyangdian catchment (BYD) from Google Earth and used deep learning to identify impervious surfaces. This was used to revise impervious surfaces of the China land cover dataset in 1985 and 1990–2020. Potential evaporation (PET) from three types of impervious surfaces (roofs, ground affected or not affected by the building height) was calculated by modifying the parameters of the Penman–Monteith equation, and daily precipitation and water‐storage capacity of impervious surfaces were taken into account to estimate impervious surface evaporation (E). The results showed that E values of the three types of impervious surfaces were between 72.1 and 178.2 mm/year and all exhibited the spatial distribution of high in the northwest and low in the southeast of the BYD in 1980–2020. Compared with that in 1980, in 2020, the cumulative evaporation (EAP) increased by 134.4%. The ratio of EAP to cumulative precipitation ranged from 3.0% to 6.9%, increasing significantly in a fluctuating manner. The increments in precipitation days and impervious surface area played a major role in the increase of EAP, and the decrease in precipitation was the fundamental reason for the increase in the proportion of impervious surface evaporation and water resource pressure in the BYD. Excluding the continuous evaporation from the remaining water can likely lead to underestimating the impervious surface evaporation. This study provides an efficient and reasonable novel approach for calculating impervious surface evaporation in long series and large‐scale catchments. [ABSTRACT FROM AUTHOR]