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Previous research has highlighted that psychological capital, as a constructive psychological resource, contributes to organizational behaviors, such as innovative work behavior and knowledge creation, which are inseparable yet distinct concepts. However, these positive relationships have not been consistently observed. High levels of hope, optimism and self-efficacy, which are dimensions of psychological capital, may lead to a decline in performance. Therefore, we develop a framework to investigate the joint effect of team psychological capital and localization of human resources on innovative work behavior and knowledge creation. We empirically assess this framework using questionnaires, and multi-source data from multinational enterprises in China. The results indicate that team psychological capital has a gradually slowing positive effect on innovative work behavior, while simultaneously exhibiting an inverted-U-shaped effect on knowledge creation. Moreover, we further find that the localization of human resources positively moderates the relationship between psychological capital and innovative work behavior. This study contributes to insights into the effects of team psychological capital on innovative work behavior and knowledge creation while offering managers implications on how to align their psychological resources to develop innovative activities. [ABSTRACT FROM AUTHOR]

The "live streaming + charity" model is a new model for China's philanthropy, accelerating the new development of China's philanthropy, but there is still a relative paucity of research in the academic community on how charity live streaming affects online charitable donations. In this sense, this study aims to identify the construction of a model of the factors influencing charity live streaming on online charitable donations. This study selected TikTok Live, based on the UTAUT model, combining perceived risk and perceived interactivity, recovered 607 valid questionnaires, and concluded and structural equation modeling to construct an influence factor model to analyze their correlation. The results show that users' performance expectancy, effort expectancy, perceived interactivity, facilitating conditions, and social influence are significantly positively correlated with online charitable donations, and perceived risk does not negatively affect users' intentions to make online charitable donations. Our findings can provide a basis for live-streaming platforms and relevant social organizations and government departments to develop charity communication strategies. [ABSTRACT FROM AUTHOR]

In recent years, the volcanic activity of Changbai Mountain has been accompanied by several earthquakes, and the frequent human engineering activities have led to a gradual increase in the number of collapses in the region, which severely impacts residents' lives and property safety. In northeastern China, the Changbai Mountain area in the southeastern Jilin Province is a typical mountain environment. This paper selects 12 evaluation indicators to build a hazard assessment system, including slope, aspect, elevation, curvature, lithology, NDVI, land use type, distance from the fault, the river from the road, volcanic earthquake, and annual average precipitation. Using emotional weight (G1 method) and objective weight (WOE-CV method), the hazard due to collapses in the study area is evaluated too. Among them, the transcendence probability of volcanic earthquakes greater than VI degree represents the relationship between Changbai Mountain volcanic earthquakes and the assessment of geological collapse hazard. The results show that high- and very high-hazard areas are mainly distributed in densely populated areas and national and provincial trunk lines, with apparent spatial agglomeration characteristics. The low-hazard area, medium-hazard area, high-hazard area and very high-hazard area accounted for 19.33%, 44.19%, 33.85% and 2.63% of the total area of the study area, respectively. By comparing the previous geological hazard survey reports in the area with the collapse hazard zoning map in this paper, 87.72% of the known collapse hazard areas are distributed within high and very high hazard zones, indicating that the conclusions of the article are more accurate and in line with the actual situation. Results from collapse-related hazards can provide relevant guidance for preventing and controlling geological risks posed by volcanic earthquakes affecting Changbai Mountain. [ABSTRACT FROM AUTHOR]

Introduction: The aim of this study was to evaluate the stability and accuracy of glucose measurements determined using the metabolic heat conformation (MHC)-based non-invasive glucometer in a multicentre, self-controlled clinical trial. This device is the first to obtain a medical device registration certificate awarded by the National Medical Products Administration of China (NMPA). Methods: The multicentre clinical study was conducted at three sites and enrolled 200 subjects whose glucose was measured with a non-invasive glucometer (the Contour Plus blood glucose monitoring system) and by venous plasma glucose (VPG) measurements, in a fasted state and at 2 and 4 h after meals. Results: Based on both the non-invasive and VPG measurements, 93.9% (95% confidence interval 91.7–95.6%) of the blood glucose (BG) values fell within consensus error grid (CEG) zones A + B. The measurements obtained in a fasted state and at 2 h after meals were more accurate, with 99.0% and 97.0% of the BG values, respectively, falling within zones A + B. Compared to those subjects who received insulin, the proportion of values in zones A + B and the correlation coefficients were 3.1% and 0.0596 higher, respectively. The accuracy of the non-invasive glucometer was influenced by the level of insulin resistance calculated by the homeostatic model assessment method, which had a correlation coefficient with the mean absolute relative difference of − 0.1588 (P = 0.0001). Conclusion: The MHC-based non-invasive glucometer assessed in the present study demonstrates generally high stability and accuracy in the glucose monitoring of people with diabetes. The calculation model needs to be further explored and optimised for patients with different diabetes subtypes, levels of insulin resistance and insulin secretion capacity. Clinical trial registry number: ChiCTR1900020523. [ABSTRACT FROM AUTHOR]

In the 21st century, China is experiencing rapid economic growth alongside increasing car ownership and its attendant challenges. However, little is known about the determinants of expenditure on car acquisition and household car ownership in China, especially their dynamics as this motorization process has taken place. In this paper, we present household car ownership and expenditure analyses using a unique panel dataset, the China Household Finance Survey (CHFS). We identify three clusters of households with distinct income and expenditure characteristics consistently existing from 2011 to 2017. We also demonstrate distinctive temporal patterns in expenditure in the periods prior to, at-time-of, and following car acquisition for car-purchasing households. We report that most, but not all, determinants we studied have been stable over time. Finally, contrary to contemporary findings in Western countries, being a younger-aged household is positively associated with car ownership, while living in rural areas has a negative association. [ABSTRACT FROM AUTHOR]

Swertia bimaculata (SB) is a medicinal herb in China having an array of therapeutic and biological properties. This study aimed to explore the attenuating effect of SB on carbon tetrachloride (CCl 4) induced hepato-toxicity by regulation of gut microbiome in ICR mice. For this purpose, CCl 4 was injected intraperitoneally in different mice groups (B, C, D and E) every 4th day for a period of 47 days. Additionally, C, D, and E groups received a daily dose (50 mg/kg, 100 mg/kg, and 200 mg/kg respectively) of Ether extract of SB via gavage for the whole study period. The results of serum biochemistry analysis, ELISA, H&E staining, and sequencing of the gut microbiome, indicated that SB significantly alleviates the CCl 4 -induced liver damage and hepatocyte degeneration. The serum levels of alanine transaminase, aspartate aminotransferase, malondialdehyde, interleukin 1 beta and tumor necrosis factor-alpha were significantly lower in SB treated groups compared to control while levels of glutathione peroxidase were raised. Also, the sequencing data indicate that supplementation with SB could restore the microbiome and its function in CCl 4 -induced variations in intestinal microbiome of mice by significantly downregulating the abundances of pathogenic intestinal bacteria species including Bacteroides , Enterococcus , Eubacterium , Bifidobacterium while upregulating the levels of beneficial bacteria like Christensenella in the gut. In conclusion, we revealed that SB depicts a beneficial effect against hepatotoxicity induced by CCl 4 in mice through the remission of hepatic inflammation and injury, through regulation of oxidative stress, and by restoring gut microbiota dysbiosis. • Swertia bimaculata is a medicinal herb in China having an array of therapeutic and biological properties. • Swertia bimaculata significantly alleviates the CCl 4 -induced liver damage and hepatocyte degeneration. • Swertia bimaculata could restore the microbiome and its function in CCl 4 -induced variations in intestinal microbiome. [ABSTRACT FROM AUTHOR]

Clean groundwater resources are vital to human health. To evaluate groundwater quality in the Songnen Plain (Jilin), a field investigation sampling test, multivariate statistical analysis, and spatial analysis were conducted based on a geographic information system. The main substances exceeding the standard were screened out, and the main controlling factors affecting groundwater quality were discussed. The research result showed that nine components exceeded groundwater standards by approximately 10%: Al, total hardness (TH), total dissolved solids (TDS), Mn, As, NO3−, Fe, F−, and BaP. The over-standard of TDS and TH in groundwater are mainly distributed in the geological environment conditions and unreasonable exploitation and utilization of groundwater in this area. The results of the multi-index evaluation showed that the most important factors affecting groundwater quality were general chemical indices, followed by inorganic toxicology and heavy metals. Controlling the overexploitation of water resources, controlling agricultural activities and sewage discharge, and implementing water conservation systems are the main pathways to improve water quality in the study area. The research results can provide a reference for groundwater pollution control and water resource protection in the Songnen Plain (Jilin). [ABSTRACT FROM AUTHOR]

Energy flow and environmental impacts are crucial factors in sustainable agriculture. Field experiments were conducted to evaluate the energy consumption, economic benefits and carbon footprint (CF) of Japonica rice (JR) and indica rice (IR) cropping systems. The results showed that the JR system could provide favourable income combined with improved yields compared to those of the IR system, with growth rates of 47.0 % and 9.8 %, respectively. Fertilizer application, diesel fuel, and machinery were the major contributors to energy consumption regardless of the system. Compared to those of the IR system, the JR system attained a higher energy consumption, mainly resulting from seeds and fertilizers, reducing the average energy use efficiency by 5.6 %. There was no significant difference in the average eco-efficiency between the two cropping systems. Although the JR system exhibited a greater carbon input (941.2 kg CO 2 -eq ha−1) than that of the IR system (828.7 kg CO 2 -eq ha−1), it exhibited a comparable CF per unit of rice production due to its greater output. These results suggest that adopting the JR system could be a promising alternative for increasing grain production without increasing environmental costs in China. Applying innovative fertilization methods or products, efficient machinery will help achieve high productivity and environmental friendliness. • A combined evaluation of energy, environmental and economic factors between IR and JR was performed. • JR system raised crop productivity and profitability. • JR system decreased energy use efficiency with a carbon footprint comparable to that of IR system. • Fertilizer N consumed the most energy and was the largest contributor to the CF. [ABSTRACT FROM AUTHOR]

• A noninvasive blood glucose monitor with high accuracy is proposed. • A classification model is established to identify whether subjects had diabetes. • The subjects are classified in different categories for expanded its coverage. • The model of each category is established separately to improve its accuracy. • The accuracy of noninvasive blood glucose monitor is validated by clinical trial. Blood glucose monitoring is vital for controlling the complications of diabetes. We propose a noninvasive blood glucose monitor featuring multi-sensor fusion, which functions well for rapid yet accurate blood glucose monitoring and screening of diabetes. The characteristic parameters of diabetics were extracted by applying one-factor analysis of variance, and a classification model was established via principal components analysis and discriminant analysis to identify whether the subjects suffer from diabetes. In light of the challenges for noninvasive blood glucose monitoring modelling brought by different pathogeneses, disease processes and complicated complications of different diabetics, the subjects were classified into different categories via unsupervised K-means clustering algorithm and modelled for each category separately for expanded coverage and improved accuracy. The accuracy was clinically evaluated in 254 volunteers with type II diabetes. The results in the Parkes error grid were as follows: 58.33% in Zone A, 39.43% in Zone B and 2.24% in Zone C, with a correlation coefficient of 0.69 and a root mean squared error of 2.67 mmol/L. In 2019, the monitor was certified by the National Medical Products Administration of China as the first Class III Medical Device. [ABSTRACT FROM AUTHOR]

The focus of urban water environment renovation has shifted to high nitrate (NO 3 - ) load. Nitrate input and nitrogen conversion are responsible for the continuous increase in nitrate levels in urban rivers. This study utilized nitrate stable isotopes (δ 15 N-NO 3 - and δ 18 O-NO 3 - ) to investigate NO 3 - sources and transformation processes in Suzhou Creek, located in Shanghai. The results demonstrated that NO 3 - was the most common form of dissolved inorganic nitrogen (DIN), accounting for 66 ± 14% of total DIN with a mean value of 1.86 ± 0.85 mg L -1 . The δ 15 N-NO 3 - and δ 18 O-NO 3 - values ranged from 5.72 to 12.42‰ (mean value: 8.38 ± 1.54‰) and -5.01 to 10.39‰ (mean value: 0.58 ± 1.76‰), respectively. Based on isotopic evidence, the river received a significant amount of nitrate through direct exogenous input and sewage ammonium nitrification, while nitrate removal (denitrification) was insignificant, resulting in nitrate accumulation. Analysis using the MixSIAR model revealed that treated wastewater (68.3 ± 9.7%), soil nitrogen (15.7 ± 4.8%) and nitrogen fertilizer (15.5 ± 4.9%) were the main sources of NO 3 - in rivers. Despite the fact that Shanghai's urban domestic sewage recovery rate has reached 92%, reducing nitrate concentrations in treated wastewater is crucial for addressing nitrogen pollution in urban rivers. Additional efforts are needed to upgrade urban sewage treatment during low flow periods and/or in the main stream, and to control non-point sources of nitrate, such as soil nitrogen and nitrogen fertilizer, during high flow periods and/or tributaries. This research provides insights into NO 3 - sources and transformations, and serves as a scientific basis for controlling NO 3 - in urban rivers., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Inc. All rights reserved.)