Jilin Province Of China Research Articles

Impact of Cultivated Land-Use Change on the Cultivated Land Pressure in Jilin Province of China from 1980 to 2015

Impact of Cultivated Land-Use Change on the Cultivated Land Pressure in Jilin Province of China from 1980 to 2015

The Complete Mitochondrial Genome of Northeast Asian Rove Beetle, Lordithon arcuatus (Solsky, 1871) and Performance of Site-Specific Mixture Models in Building the Mitogenomic Phylogeny of Staphylinidae (Insecta: Coleoptera)

Lordithon species are typically mushroom-dwelling rove beetles that devour maggots. This study presents the mitogenome of a Lordithon arcuatus specimen that was procured from Changbai Mountain in the Jilin Province of China. The mitogenome is 18,290 bp long and comprises 13 protein-coding genes, 22 tRNAs, and 2 rRNAs. The base composition of the mitogenome is as follows: A = 38.80%, T = 37.93%, G = 8.94%, and C = 14.32%. Maximum likelihood and Bayesian phylogenetic trees were constructed using 68 representative staphylinid species, which showed that Lordithon, Bolitobius, and Ischnosoma form a stable and fully supported Mycetoporinae clade, whereas there was no consensus regarding the relationships among Tachyporinae taxa. Additionally, the performance of site-specific mixture models for inferring the phylogeny of staphylinids using mitogenomic data was assessed. The results suggest that heterotachy models should be used with caution, as they may result in incorrect topology with delusive precedence in AIC- or BIC-based model selection.

Phylogenetic and Structural Analysis of Porcine Circovirus Type 2 from 2016 to 2021 in Jilin Province, China.

Porcine circovirus disease (PCVD) caused by porcine circovirus type 2 (PCV2) is widely distributed in pig farms. Up until now, nine genotypes of PCV2, PCV2a to 2i, have been identified in diseased pigs worldwide. This study analyzed 302 samples collected in the Jilin Province of China from 2016 to 2021, followed by genetic analysis of the PCV2 isolates. Meanwhile, the antigen epitopes, amino acid mutations, 3D structure of the PCV2 isolates and commercially available vaccine strains were evaluated and compared. The results showed that the predominant genotypes of PCV2 were PCV2b, followed by PCV2e and PCV2d in Jilin Province during 2016-2021. Although mutations were detected in the isolates, no recombination occurred in the PCV2 isolates, indicating a stable genotype of PCV2 in Jilin Province during these years. Moreover, the B cell epitopes in the Cap and Rep proteins of eighteen PCV2 isolates and T cell epitopes in the Cap of the isolates were changed compared to three currently used vaccine strains. The mutations in the Cap and Rep proteins did not affect their spatial conformation. Therefore, bivalent or multivalent vaccines with different genotypes of PCV2 might improve the protective effect of vaccines.

Didymodonchangbaiensis (Pottiaceae, Musci), a new species from Changbai Mountain, China and its phylogenetic position based on molecular data.

Changbai Mountain, located in northeast China, is one of the areas with the most complete natural ecosystem preservation in China. A new species, Didymodonchangbaiensis C.Feng, J.Kou, H.-X. Xiao & T.-T.Wu from north slope of Changbai Mountain in Jilin Province of China is described and illustrated. It is characterised by ovate or ovate-lanceolate leaves that are appressed when dry, acute leaf apex, lamina red or reddish-orange with KOH, unistratose lamina throughout, plane and unistratose leaf margins, percurrent costa with one layer of guide cells and without ventral stereids, upper and middle laminal cells with elliptical papillae over the transverse walls between two immediately adjacent cells and basal laminal cells not differentiated from the median cells. Our morphological analyses and molecular results, based on DNA sequences of ITS, rps4 and trnM-trnV, confirm that D.changbaiensis is revealed to be sister to D.daqingii J. Kou, R.H. Zander & C. Feng. This new species is compared with similar species and its phylogenetic position and ecology are discussed.

(20R)-panaxadiol improves obesity by promoting white fat beigeing.

Introduction: Obesity is an important cause of a range of metabolic diseases. However, the complex mechanisms of obesity and its related diseases make some weight loss methods ineffective or have safety issues. Ginseng, a specialty of Jilin Province in China with both edible and medicinal value, contains mainly ginsenosides and other components. In order to study the anti-obesity effect of ginseng, network pharmacology was used to predict and screen the active ingredients, action targets and signaling pathways of ginseng. We found (20R)-panaxadiol (PD) is a more desirable active ingredient due to its high drug-like properties and high bioavailability. Moreover, it is closely related to cAMP pathway which is more important in metabolism regulation. The corresponding pharmacodynamic targets of PD include ADRB2 (the gene encoding the β2-adrenoceptor receptor). Our study aimed to investigate whether Panaxadiol can promote white adipocyte beigeing and increase thermogenesis through modulating the β2/cAMP pathway to exert anti-obesity effects. Methods: In vivo, we established high-fat feeding obesity model, genotypically obese mice (ob/ob) model, and administered PD (10mg/kg). PD treatment in ob/ob mice along with β2 receptor inhibitor ICI118551. In vitro, differentiated mature 3T3-L1 cells were given palmitate (PA) to induce hypertrophy model along with PD (20μM). Results: The results of this study demonstrated that PD significantly reduced body weight, improved glucose tolerance and lipid levels in high-fat-induced obese mice and ob/ob mice, and also reduced lipid droplet size in PA-treated hypertrophic adipocytes in vitro. Molecular biology assays confirmed that cAMP response element binding protein (CREB) phosphorylation was increased after PD administration, and the expression of thermogenesis-related proteins UCP1, PRDM16 and mitochondrial biosynthesis-related proteins PGC-1α, TFAM and NRF1 were increased. Molecular docking results showed a low binding energy between β2 receptors and PD, indicating an affinity between the β2 receptor and PD. In addition, the β2 receptor inhibition, reversed the anti-obesity effect of PD on the body weight, lipid droplets, the expression of thermogenesis-related proteins and CREB phosphorylation in ob/ob mice. Discussion: These results suggest that PD may promote the expression of thermogenic proteins through phosphorylation of CREB via β2 receptor activation, and thus exert anti-obesity effects.

Regulation intensity assessment of pumped storage units in daily scheduling for renewable energy consumption

To flexibly consume variable renewable energy (VRE), the pumped storage units are facing severe issues induced by regulation duties (e.g., tear, fatigue, vibrations, etc.). This work aims to assess the regulation intensity of the pumped storage unit (RIPSU) for VRE consumption considering both the power grid and units. Firstly, the definition of RIPSU focusing on source-grid coordination is innovatively proposed. Furthermore, a novel assessment model including five important indicators: number of startups and shutdowns, operation duration of power generation, comprehensive utilization hours, regulation mileage, and operation duration in vibration zones, is recommended in VRE systems with pumped storage (PS). Secondly, taking the minimization of VRE consumption deviation as the objective, a day-ahead scheduling model of the Wind-Photovoltaic-Pumped storage hybrid system is established to optimize operation for a better evaluation. Finally, the feasibility of the assessment model is demonstrated by a case study in the Jilin Province of China. The results show that RIPSU will generally increase by approximately 2% to 5% for every 5% rise in VRE consumption. The multiple influencing factors on RIPSU are investigated, including energy consumption demand, resources of VRE, and load demand. The study could support the reliability evaluation in various co-operations of PS and large-scale VRE.

Meta-Analysis of the Effect of Saline-Alkali Land Improvement and Utilization on Soil Organic Carbon.

There is a large amount of saline-alkali land in China. Through the improvement and utilization of saline-alkali land to improve the carbon content in soil, it can not only become a reserve resource of cultivated land or grazing grassland, but also become an important land "carbon sink". In this study, we performed a comprehensive meta-analysis to identify the impact of improvement and utilization of saline-alkali soil on soil organic carbon (SOC) in China. Our results showed that the soil salt and alkali content in Heilongjiang Province and Jilin Province in China was the highest, with an SOC content between 3.05 and 17.8 g/kg and pH between 8.84 and 9.94. Among the five methods of reclamation, halophyte planting, fertilization, biochar and modifier application, only biochar and modifier application significantly increased the SOC content (p < 0.05). The content of SOC in saline-alkali soil was 2.9-6.3 g/kg before biochar application, and significantly increased to 6.2-13.05 g/kg after biochar application (p < 0.01). The SOC content was 3.05-8.12 g/kg before the application of the modifier, and significantly increased to 3.68-9 g/kg (p < 0.05) after the application of the modifier. After utilization and improvement of saline-alkali land, the total nitrogen, available phosphorus and available potassium also increased significantly (p < 0.05). This study provides a scientific basis for further understanding the improvement and utilization of saline-alkali land in China and its potential for increasing carbon sinks.

Mental health among healthcare workers during the prolonged COVID-19 pandemic: A cross-sectional survey in Jilin Province in China.

The prolonged COVID-19 pandemic has seriously impacted the mental health of healthcare workers. This study aimed to explore the mental health status of healthcare workers, compare the differences in mental health between physicians and nurses, and verify the impact of risk perception on mental health in the long-term COVID-19 pandemic in Jilin Province, China. A stratified random sample was used to conduct an on-site questionnaire survey in December 2020 to measure the mental health status, risk perceptions, and demographic characteristics of healthcare workers in Jilin Province, China. A total of 3,383 participants completed the questionnaire survey, of which 3,373 were valid questionnaires. A total of 23.6% (n = 795) of participants had symptoms of depression, 27.4% (n = 923) had symptoms of anxiety, and 16.3% (n = 551) had symptoms of stress. Physicians reported significantly higher rates of depression and anxiety than nurses (p = 0.023, p = 0.013, respectively). There was no significant difference in the proportion of participants with stress between physicians and nurses (p = 0.474). Multivariate logistic regression results showed that healthcare workers who had a high level of risk perception were more likely to have symptoms of depression (AOR = 4.12, p < 0.001), anxiety (AOR = 3.68, p < 0.001), and stress (AOR = 4.45, p < 0.001) after controlling for other variables. At least one in six healthcare workers experienced mental health problems, and physicians were more likely than nurses to suffer from depression during the prolonged COVID-19 epidemic. Risk perception was highly predictive of depression, anxiety, and stress symptoms in medical staff. Public health interventions are needed to mitigate the long-term psychological impact of the COVID-19 pandemic.

제품혁신이 기업성과에 미치는 영향: 연계능력과 시장변동성의 조절효과를 중심으로

Profiting from product innovation is important for firm success. However, factors affecting the link between product innovation and firm performance is still unclear according to the previous empirical findings. Therefore, the purpose of this study is to introduce internal relation-based contingency of firm's linkage capability and external environment based contingency of market turbulence to analyze their moderating effect on the relationship between product innovation and firm performance. The empirical analysis is conducted with the survey data collected from 196 firms in Jilin province of China. The findings show that firm's close linkage capability with customers, suppliers, competitors and other firms within the same industry positively moderates the relationship between product innovation and firm performance while external market turbulence negatively moderates the relationship between product innovation and firm performance. The results implicate, in order to maximize the positive influence of product innovation on firm performance, firms should continuously exploit social capital and monitor external environment.

Molecular epidemiology of canine parvovirus 2 from 2014, 2019, and 2021 shows CPV2 circulating and CPV2c increasing in Yanbian, China.

Canine parvovirus 2 (CPV2) causes one of the most serious canine viral infections, with high mortality in young dogs. In 2014, 2019, and 2021, we determined genetic sequences of CPV2 strains obtained from 39 fecal samples collected from the Yanbian Korean Autonomous Prefecture in the Jilin Province of China. Sequence alignments were performed using the major capsid protein (VP2) gene; protein sequences of these samples had high nucleotide (>97.4%) and amino acid (>95.6%) identity. All of the amino acid sequences contained Ser297Ala and Tyr324Ile mutations. Our survey indicated a high prevalence of CPV2 variants in Yanbian Prefecture, with the new CPV2a variant (26 of 39; 67%) being the most frequent. CPV2c, identified in 9 of 39 (23%) samples, had not been detected in this region previously, indicating the potential risk of CPV2 mutation. The sequences of our 39 CPV2 samples were more highly homologous to the published Chinese strains than to the CPV2 variant strains found in other countries.

Change in phosphorus requirement with increasing grain yield for rice under saline-sodic stress in Northeast China

It is possible to simultaneously reduce both food security and environmental impact by understanding the relation between rice (Oryza sativa L.) grain yield and phosphorus (P) uptake requirements. The goal of this study was to determine P uptake requirements and relationship of P accumulation with yield formation at different rice grain yield levels under saline-sodic stress. A database comprising measurements in 28 plots in four on-farm research station located in saline-sodic soil area during the period 2018–2019 in Jilin province of Northeast China was used for the analyses. The grain yields of rice averaged 9.0 Mg ha−1 and varied from 5.11 to 13.41 Mg ha−1. The P uptake at late growth stages (heading and maturity) of rice gradually increased with increasing grain yield levels. The P requirement for producing 1 Mg grain (Preq.) were 4.61, 4.60, and 4.21 kg Mg−1 for grain yields ranging from &amp;lt;7.0, 8.0–9.5, and &amp;gt;10.0 Mg ha−1, respectively. The decrease in Preq. values with increasing grain yield was mainly attributable to the increase in the harvest index from 0.25 to 0.33. A larger proportion of the P was accumulated from heading to maturity stage when grain yields were higher than 8.0 Mg ha−1. The P uptake in leaves, stems and panicles at the maturity stage gradually increased with increasing grain yield levels. The results give a contribution to rice production in saline-sodic soils, and greatly optimize P management especially in high-yielding rice systems, furtherly improving food security in the Jilin province of China.

Association between patterns of eating habits and mental health problems in Chinese adolescents: A latent class analysis.

ObjectiveWe aimed to investigate the association between different eating habit patterns and mental health problems among Chinese middle and high school students, and further to estimate the interaction effect of different grouping variables on eating habits.MethodsOne thousand three hundred and forty-eight adolescents from Jilin Province in China were involved in this cross-sectional study. Mental health and eating habits were assessed using General Health Questionnaire and questions on Nutrition Knowledge, Attitude and Practice, respectively. Latent class analysis (LCA) was performed to identify eating habit patterns. Binary logistic regression and generalized linear models were used to explore the association between eating habit patterns, energy-adjusted nutrient intakes and mental health problems. Interaction analysis was performed to analyze the association between eating habits and mental health in different groups.ResultsBased on the LCA results, a 3-class parallel model was identified: 648 adolescents (48.1%) were classified in class-1 “Healthy Eating Behavior/Eating at Home,” 452 adolescents (33.5%) in class-2 “Healthy Eating Behavior/Eating at School” and 248 adolescents (18.4%) in class-3 “Unhealthy Eating Behavior/Random Place.” Compared with class-1, participants in class-2 and class-3 were at higher risk of mental health problems, especially for class-3 (p < 0.05). The energy and nutrient intakes by different latent classes showed that adolescents who ate unhealthy had lower daily intake of energy, protein, carbohydrate, fiber, Vitamins and minerals (p < 0.05). The interaction between age, sleep duration and different eating habits was statistically significant (p for interaction < 0.1).Conclusion“Unhealthy eating behavior/random place pattern” was positively correlated with mental health problems of adolescents. The adolescents with health diet were accompanied by fewer mental health problems, especially for that eating at home. And there were interactions between eating habits and age, sleep duration on the mental health problems.

TAXONOMIC DIVERSITY OF THE COPROPHILIC SCARAB BEETLES (COLEOPTERA, SCARABAOIDEA) IN THE SOUTHERN PART OF AMUR PROVINCE OF PALAEARCTIC

onging to 2 families and 53 genera and recorded from the southern part of the Amur Province of the Stenopean nemoral Region of Palaearctic is given. The largest number of species was found in the Sikhote-Alin Mountains (75 species), the smallest – in Jilin Province of China (52 species). There is a trend towards an increase in the number of species of dwellers (beetles living in the dung) from the subfamily Aphodiinae in the northern part of Amur Province, while the number of species of rollers and tunnelers (beetles that store provisions for larvae) from the subfamily Scarabaeinae and the family Geotrupidae increase in the southern regions.

Optimal Water Resources Allocation in the Yinma River Basin in Jilin Province, China, Using Fuzzy Programming

Being one of the most important sources of water in the Jilin Province in China, the Yinma River Basin (YRB) is facing problems of water scarcity in low economic areas and low utilization in richer areas mainly caused by the irrational allocation of water, excessive pursuit of economic benefits, and neglect of environmental problems. Restricting watershed development involves potential decision-making risks. Some scholars have used the interval two-stage stochastic planning method to adjust water resource allocation in the Drinking Horse River Basin, but the method uses historical statistics for projection and does not take into account the ambiguity and uncertainty in real planning situations. Therefore, this study addresses the problems prevalent in the allocation of water resources in the YRB through optimization using stochastic programming methods, interval and two-stage, and introduces the fuzzy mathematical programming method, with the aim of coordinating the water balance of various water-consuming sectors in the YRB, so as to reconfigure the water allocation. The goal is to solve the existing problems of irrational water allocation, reduce system risks posed by excessive economic development, mitigate water shortages in the water-consuming sectors, and alleviate potential decision-making risks and vague uncertainties associated with the allocation of water resources. Additionally, optimization of the pollution-holding capacity improvement project was carried out. The interval fuzzy two-stage model simulation developed in this study shows that the distribution of water across the different administrative regions can be reduced by up to 30% compared with the original model, effectively reducing the problem of water wastage. Post-optimization, the impact of water shortage in the water resources allocation scheme is alleviated to a significant degree, and there is no water shortage in some areas. At the same time, the eco-environmental sector has gradually taken the leading role in the distribution of water reuse among the different water-consuming sectors. The pollution-holding capacity has been enhanced, and the discharge and river entry chemical oxygen demand (COD) and ammonia nitrogen, two typical pollutants, have been reduced. The membership interval in the interval fuzzy two-stage model reflects the relationship between the possible level of the target value and the risk level. This study provides a guideline for decision makers for balancing the relationship between benefits and risks and proposes a planning scheme that is more conducive to the development of the river basin.

Analysis in the Influencing Factors of Climate-Responsive Behaviors of Maize Growers: Evidence from China.

Due to the natural production properties, agriculture has been adversely affected by global warming. As an important link between individual household farmers and modern agriculture, it is crucial to study the influence of agricultural productive services on farmers’ climate-responsive behaviors to promote sustainable development and improve agricultural production. In this paper, a questionnaire survey has been conducted among 374 maize farmers by using the combination of typical sampling and random sampling in Jilin Province of China. Moreover, the Poisson regression and the multi-variate Probit model have been used to analyze the effects of agricultural productive services on the choices of climate-responsive behaviors as well as the intensity of the behaviors. The results have shown that the switch to suitable varieties according to the frost-free period have been mostly common among maize growers in Jilin province. Agricultural productive services have a significant effect on the adoption intensity of climate- responsive behaviors, at the 1% level. Based on this conclusion, this paper proposes policy recommendations for establishing a sound agricultural social service system and strengthening the support for agricultural productive services. It has certain reference significance for avoiding climate risk and reducing agricultural pollution in regions with similar production characteristics worldwide.

A GIS-Based Method for Identification of Blindness in Former Site Selection of Sewage Treatment Plants and Exploration of Optimal Siting Areas: A Case Study in Liao River Basin

With regard to environmental facilities, blindness and the subjectivity of site selection lead to serious economic, engineering and social problems. A proper siting proposal often poses a challenge to local governments, as multiple factors should be considered, such as costs, construction conditions and social impact. How to make the optimal siting decision has become a topical issue in academic circles. In order to enrich the framework of site selection models, this study combined GIS, AHP and Remote Sensing (RS) technologies to conduct siting suitability analysis of sewage treatment plants, and it was first applied in the Liao River basin in Jilin Province in China. The enriched model is able to reveal blindness in the former site selection of sewage treatment plants and explore optimal siting areas, involving an effective quantification method for summer dominant wind direction and urban stream direction. In a case study, it was found that local governments need to be cautious of the distance of sites from rivers and residential areas and the impact of these sites on downwind and downstream residents. Additionally, siting suitability has obvious regional characteristics, and its distribution varies significantly between towns. Huaide Town shows the largest optimal siting areas and can be given priority for the construction of new sewage treatment plants. This paper developed a more scientific approach to site selection, and the outcome can provide a robust reference for local governments.

Lifestyle Behaviors and Depressive Symptoms in Chinese Adolescents Using Regression and fsQCA Models.

The study was to compare the performance of the regression models and fuzzy set qualitative comparative analysis (fsQCA) models in analyzing the possible effects of sociodemographic variables (age and sex) and lifestyle behaviors (physical activity, sedentary time, sleep duration, physical education class and screen time) on depressive symptoms in adolescents. This cross-sectional surgery was conducted among 726 adolescents in Jilin Province of China, selected by random cluster sampling. The regression model showed that age, physical education (PE) class and sleep duration were associated with depressive symptoms. Meanwhile, the fsQCA models showed that shorter physical activity, PE class and sleep duration as well as longer sedentary and screen time were related to higher levels of depressive symptoms. Both regression and fsQCA models indicated that promoting lifestyle behaviors could affect depressive symptoms. Considering the differences between the two methods, they are not superior to the other method, but complementary and should be used in other studies at the same time.

Assessing the hotspots of crop water footprint in Jilin Province of China.

Water is one of the important key biophysical factors determining crop production. The increasing demand for crop products has placed substantial pressures on water resources and then led to a series of water issues. To shed light on multiple water issues in crop production, taking water footprint (WF) as a measurement, a WF hotspot index system including green water scarcity (GWS), blue water scarcity (BWS), water pollution level (WPL), water use efficiency ratio (WUER), and water use benefit ratio (WUBR) was constructed, and an empirical study was conducted to assess the WF hotspots of crop production in Jilin Province. Multiple types of hotspots exhibited obvious differences in spatio-temporal distribution. Hotspots of BWS and WPL were concentrated in the middle and western subregions and the grades of hotspots were higher in the drought and normal years. BWS and WPL had the same changing trend, showing superimposed distribution in space. Hotspots of GWS and WUBR occurred in most prefectures, whereas there were more WUBR hotspots and fewer GWS hotspots in the humid year. The hotspots of WUER were scattered in fewer prefectures with no obvious differences in different rainfall years. The water issues in the middle and western subregions were various and the grades of hotspots were higher than those in eastern subregion. The results of this study would contribute to comprehensively understanding various water issues during crop production and providing more information for sustainable agricultural water management.

Universal Transparent Artificial Neural Network‐Based Fault Section Diagnosis Models for Power Systems

AbstractFault section diagnosis (FSD) is significant for the power system dispatching. Artificial neural network (ANN)‐based FSD method has strong fault tolerance but it looks like a black box and lacks the interpretability to the diagnosis outputs. In addition, when the topology of power systems changes, the ANN structure needs to be reconstructed and retrained, and thus has low adaptive capability. In order to tackle these challenges, in this paper, an ANN‐based FSD method by constructing universal transparent diagnosis models is proposed. The diagnosis models are constructed for the transmission line, transformer, and bus types rather than for a specific power system section. They can express the logical relations among sections, protective relays (PRs) and circuit breakers (CBs) clearly and intuitively. In addition, fuzzy values are used to model the uncertainties of PRs and CBs, and to determine the inputs of diagnosis models. Furthermore, the differential evolution algorithm is employed to optimize the network parameters of diagnosis models. The proposed method is verified on the IEEE 30‐bus test system and an actual local power system in Jilin Province of China.

The relationship between public service motivation and turnover intention: the mediating role of work stress and task performance.

BackgroundThe shortage of health care workforce is a common problem all over the world and one of the main reasons for the shortage is the high turnover rate. Based on the characteristics of medical work, this study explored the relationship among public service motivation (PSM), work stress, task performance and turnover intention.MethodsMedical personnel in public hospitals were selected by stratified random sampling in Jilin province of China and validated scales from previous studies were applied to measure the variables. Besides, a structural equation model of turnover intention was constructed to demonstrate the relationship.ResultsA total of 3191 valid questionnaires were collected. The results showed that the score of turnover intention was 2.02 ± 1.13. There are significant differences in turnover intention among medical staff of different genders and departments. At the same time, PSM had direct and negative effects on the turnover intention (β = −0.292, P < 0.001), work stress had direct and positive effects on the turnover intention (β = 0.479, P < 0.001), whereas task performance had no significant effect on turnover intention (β = 0.044, P < 0.142). The results showed an acceptable fit model.ConclusionThe greater the PSM, the lower the turnover intention, and the higher the work stress, the higher the turnover intention. In addition, work stress and task performance play a mediating role between PSM and turnover intention. This paper provides theoretical support for the measures to reduce the turnover intention of medical staff.