Lonicerae Japonicae Caulis: a review of its research progress of active metabolites and pharmacological effects

Lonicerae Japonicae Caulis is the aboveground stem part of the Lonicera Japonica Thunb, which belongs to the medicine food homology species in China. It has the effects of clearing away heat, toxic material, dredging wind and unblocking collaterals. Modern research shows that it contains various active metabolites and a wide range of pharmacological effects, which is of great research and clinical application value. It mainly contains organic acids, volatile oils, flavonoids, triterpenes, triterpene saponins and other active metabolites. Its pharmacological effects mainly include anti-inflammatory, antibacterial, antitumor, antioxidant, and repairing bone and soft tissue. Based on the literature reports in recent years, the active metabolites, pharmacological effects and mechanisms of Lonicerae Japonicae Caulis were sorted out and summarized. It lays a foundation for explaining the efficacy material basis and application value of Lonicerae Japonicae Caulis. It aims to provide a reference for the in-depth research, development and utilization of Lonicerae Japonicae Caulis.

[Revealing Driving Factors of Urban O3 Based on Explainable Machine Learning]

Driven by precursor emissions, meteorological conditions, and other factors, atmospheric ozone (O₃) has become the main pollutant affecting urban air quality in summer. The current deductive models driven by physical and chemical mechanisms require a large number of parameters for the analysis of O₃ pollution, and the calculation timeliness is poor. The data-driven inductive models are efficient but have problems such as poor explanation. In this study, an explainable model of data-driven Correlation-ML-SHAP was established to reveal the strongly correlated influencing factors of O₃ concentration. Additionally, the machine learning ML module coupled with the explainable SHAP module was used to calculate the contributions of driving factors to O₃ concentration, so as to realize the quantitative analysis of driving factors. The O₃ pollution process in the summer of 2021 in Jincheng City was used as an example to carry out the application research. The results showed that the Correlation-ML-SHAP model could reveal and use strong driving factors to simulate O₃ concentration and quantify influence contribution, and the ML module used the XGBoost model to achieve the best simulation accuracy. Air temperature, solar radiation, relative humidity, and precursor emission level were the strong driving factors of O₃ pollution in Jincheng City in summer 2021, and the contribution weights were 32.1%, 21.3%, 16.5%, and 15.6%. The contribution weights of air temperature, solar radiation, and precursor emission level increased by 3.4%, 1.2%, and 1.2% on polluted days, respectively, and the contribution weights of precursor emission level rose to third place on polluted days. Each driving factor had a nonlinear interaction effect on O₃ concentration. When the air temperature exceeded 24℃, or the relative humidity was lower than 70%, there was a 94.9% and 94.1% probability of positive contribution to O₃ pollution, respectively. Under such meteorological conditions, ρ(NO₂) exceeded 9 μg·m^-3, or ρ(CO) exceeded 0.7 mg·m^-3, and there was a 94.9% and 99.3% probability of positive contribution to O₃ pollution, respectively. The southeast wind speed was lower than 5.8 m·s^-1, or the south wind speed was lower than 5.3 m·s^-1, both of which contributed positively to O₃ pollution. The model quantitatively analyzed the influence contribution of various driving factors on urban O₃ concentration, which could provide a basis for the prevention and control of urban atmospheric O₃ pollution in summer.

[Analysis of the core knowledge level of chronic diseases in Chinese adults and related factors]

Objective: To understand the core knowledge level and influencing factors of chronic disease prevention and control in Adults in China, and to provide a scientific basis for formulating chronic disease prevention and control measures. Methods: In this study, cross-sectional survey and quota sampling were used to recruit 173 819 permanent residents aged 18 and above from 302 counties of adult chronic diseases and nutrition surveillance in China to conduct an online questionnaire survey, including basic information and core knowledge of chronic diseases. The scores of the core knowledge of chronic disease prevention and control were described by median and interquartile range, the Wilcoxon rank sum test or the Kruskal Wallis test was used for the inter-group comparison, and the correlation factors of the total score were analyzed by the multilinear regression model. Results: A total of 172 808 participants were surveyed in 302 counties and districts, of which 42.60%(73 623) were male and 57.40%(99 185) were female; The proportion of respondents aged 18-44, 45-59, and 60 years old and above was 54.74% (94 594), 30.91% (53 423) and 14.35% (24 791), respectively. The total score of the core knowledge of chronic prevention and control in the total population was 66(13), and the scores of different characteristic groups were different, and the differences were statistically significant: the eastern region had the highest score at 67(11) (H=840.66, P<0.01), the urban 66(12) was higher than the rural 65(14) (Z=-31.35, P<0.01), and the male 66(14) was lower than female 66(12) (Z=-11.66, P<0.01), 18-24 years old 64(13) was lower than other age groups(H=115.80, P<0.01), and undergraduate degree and above had the highest score compared to other academic qualifications, with 68(9) points(H=2 547.25, P<0.01). Multivariate analysis showed that eastern (t=27.42, P<0.01), central (t=17.33, P<0.01), urban (t=5.69, P<0.01), female (t=17.81, P<0.01), high age (t=46.04, P<0.01) and high education (t=57.77, P<0.01) had higher scores of core knowledge of chronic disease prevention and control than other groups, the scores of core knowledge of chronic disease prevention and control of professional and technical personnel (t=8.63, P<0.01), state enterprises and institutions (t=38.67, P<0.01), agriculture, forestry, animal husbandry, fishery and water conservancy production (t=5.30, P<0.01), production, transportation and commercial personnel (t=24.87, P<0.01), and other workers (t=8.89, P<0.01) were higher than those of non-employed people. Conclusion: There are differences in the total scores of the core knowledge of chronic disease prevention and control in different characteristics of people in China, and in the future, health education on the prevention and treatment of chronic diseases should be strengthened for specific groups to improve the knowledge level of residents.

Universal cover-time distributions of random motion in bounded granular gases

The exhaustive random exploration of a complex domain is a fundamental issue in many natural, social, and engineering systems. The key characterizing quantity is the cover time, which is the time to visit every site in the system. One prototypical experimental platform is the confined granular gas, where the random motion of granular particles mimics the wandering of random walkers in a confined region. Here, we investigate the cover-time distribution of the random motion of tracer particles in granular gases confined in four containers to account for different boundary and angle effects and examine whether the cover time of the heterogeneous random motion of the granular gases can be rescaled into the universal Gumbel distribution according to a recent theory [Dong et al., arXiv:2210.05122 (2022)]. It is found that for long cover times, the experimental results are in full accord, while for short cover times, the agreement is reasonable, with noticeable deviations that can be attributed to spatial correlations of the sites in the covering process. Our results, thus, call for further theoretical investigations in order to take into full account these nonideal issues.

Universal cover-time distribution of heterogeneous random walks

The cover-time problem, i.e., the time to visit every site in a system, is one of the key issues of random walks with wide applications in natural, social, and engineered systems. Addressing the full distribution of cover times for random walk on complex structures has been a long-standing challenge and has attracted persistent efforts. Usually it is assumed that the random walk is noncompact, to facilitate theoretical treatments by neglecting the correlations between visits. The known results are essentially limited to noncompact and homogeneous systems, where different sites are on an equal footing and have identical or close mean first-passage times, such as random walks on a torus. In contrast, realistic random walks are prevailingly heterogeneous with diversified mean first-passage times. Does a universal distribution still exist? Here, by considering the most general situations of noncompact random walks, we uncover a generalized rescaling relation for the cover time, exploiting the diversified mean first-passage times that have not been accounted for before. This allows us to concretely establish a universal distribution of the rescaled cover times for heterogeneous noncompact random walks, which turns out to be the Gumbel universality class that is ubiquitous for a large family of extreme value statistics. Our analysis is based on the transfer matrix framework, which is generic in that, besides heterogeneity, it is also robust against biased protocols, directed links, and self-connecting loops. The finding is corroborated with extensive numerical simulations of diverse heterogeneous noncompact random walks on both model and realistic topological structures. Our technical ingredient may be exploited for other extreme value or ergodicity problems with nonidentical distributions.

High-efficiency catalyst CuSO4/SBA-15 toward butylated hydroxytoluene synthesis in a heterogeneous system

An SBA-15 loaded CuSO₄ catalyst was designed and prepared for the highly selective production of 2,6-di-tert-butyl-p-cresol (BHT) from p-cresol and isobutylene. The acidity of solid acid catalysts was altered by varying the loading amount of CuSO₄. Among them, 10% CuSO₄/SBA-15 exhibited the greatest catalytic performance in the alkylation reaction with a BHT yield of 85.5%. After four cycles, the yield of BHT exceeded 70%. Overall, the catalyst has excellent catalytic performance and can be utilized as a catalyst for efficient BHT production.

[The relationships between functional gastrointestinal diseases and psychological factors, diet and lifestyles: a network analysis]

Objective: To investigate the relationship between common functional gastrointestinal diseases symptoms with psychological factors, diet and lifestyles by using the network analysis method which has achieved great success in the field of psychology in recent years. Method: A questionnaire survey was conducted in two military units using the cluster sampling method during July 2020, and a total of 1 805 subjects were included. Functional gastrointestinal disease symptoms were evaluated with the Gastrointestinal Symptom Rating Scale (GSRS). The state, trait anxiety scale and stress response scale were used to evaluate the mental and psychological state by self-evaluation. R was used to build the network and calculate statistical parameters. Results: 1 486 of the 1 805 subjects (82.3%) had experienced functional gastrointestinal diseases symptoms within 2 weeks, but most of them were mild. Network analysis shows that there was a strong interaction between digestive system symptoms with different clinical manifestations (Spearman coefficient ranges 0.31-0.56). There was a clear relationship between functional gastrointestinal symptoms and mental and psychological factors (Spearman coefficient ranges 0.16-0.27), but there was no clear interaction with diet, age, education level, body mass index, etc. Functional gastrointestinal diseases symptoms were connected with mental and psychological factors through two nodes: stress and indigestion. The stability coefficient of node strength correlation was 0.75, indicating that the network was stable. Conclusions: The current study revealed the network structure and features of functional gastrointestinal diseases symptoms with mental and psychological factors. The key linking nodes provided potential interfering target for controlling functional gastrointestinal symptoms related to mental and psychological factors.

Beyond Boolean: Ternary networks and dynamics

Boolean networks introduced by Kauffman, originally intended as a prototypical model for gaining insights into gene regulatory dynamics, have become a paradigm for understanding a variety of complex systems described by binary state variables. However, there are situations, e.g., in biology, where a binary state description of the underlying dynamical system is inadequate. We propose random ternary networks and investigate the general dynamical properties associated with the ternary discretization of the variables. We find that the ternary dynamics can be either ordered or disordered with a positive Lyapunov exponent, and the boundary between them in the parameter space can be determined analytically. A dynamical event that is key to determining the boundary is the emergence of an additional fixed point for which we provide numerical verification. We also find that the nodes playing a pivotal role in shaping the system dynamics have characteristically distinct behaviors in different regions of the parameter space, and, remarkably, the boundary between these regions coincides with that separating the ordered and disordered dynamics. Overall, our framework of ternary networks significantly broadens the classical Boolean paradigm by enabling a quantitative description of richer and more complex dynamical behaviors.

[Analysis of changes in self-efficacy and its influencing factors in type 2 diabetic patients after community-based self-management group intervention]

Objective: To analyze the changes in self-efficacy and its influencing factors in type 2 diabetic patients after community-based self-management group intervention. Methods: From August to November 2014, a 3-month community-based self-management intervention study of type 2 diabetes patients was implemented in Fangshan District, Beijing. 510 patients were recruited through posters, household inquiries and telephone notification and then were randomly divided into intervention group (260 patients) and control group (250 patients). Finally, 500 patients completed the study, including 259 in the intervention group and 241 in the control group. Self-efficacy score was measured through face-to-face interview at different time points, including pre-intervention, post-intervention, 2 years after the intervention and 5 years after the intervention, respectively. A two-level random coefficient model was fitted to analyze the long-term trend of self-efficacy and its relationship with group intervention. Results: Individual-level educational attainment, disease duration as well as their treatment plans had a positive correlation with self-efficacy of type 2 diabetic patients while gender and age did not affect their self-efficacy. Patients with junior middle school education, senior high school education and university and above education had 4.66 (P<0.05), 6.40 (P<0.05) and 11.02 (P<0.05) points higher than those with primary education, respectively. The self-efficacy of diabetic patients increased by 0.23 (P<0.05) for each additional course year. The effect of treatment plan on self-efficacy was mainly reflected in the self-efficacy of taking medication or insulin injection as prescribed and blood glucose monitoring. After controlling for the confounding factors, i.e., gender, age, disease duration, educational attainment, and treatment plan, self-efficacy scores at the post-intervention increased in both groups compared to those at the pre-intervention. The intervention group had 7.95 points higher than the control group (P<0.05). After the intervention, the self-efficacy scores of both groups decreased year by year while the intervention group declined faster, with 5.41 points (P<0.05) at 2 years after the intervention and 8.94 points (P<0.05) at 5 years after the intervention. Conclusion: Community-based self-management group intervention could improve the self-efficacy of type 2 diabetic patients while the self-efficacy decreases year by year in the absence of follow-up intervention.

Moniezia benedeni infection enhances neuromedin U (NMU) expression in sheep (Ovis aries) small intestine

BACKGROUND

Neuromedin U (NMU) plays an important role in activating the group 2 innate lymphoid cells (ILC2s) and initiating the host's anti-parasitic immune responses. It is aimed to explore the distribution characteristics of NMU in the sheep small intestine and the influence of Moniezia benedeni infection on them. In the present study, the pET-28a-NMU recombinant plasmids were constructed, and Escherichia coli. BL21 (DE3) were induced to express the recombinant protein. And then, the rabbit anti-sheep NMU polyclonal antibody was prepared and immunofluorescence staining was performed with it. The expression levels of NMU in the intestine of normal and Moniezia benedeni-infected sheep were detected by ELISA.

RESULTS

The results showed that the molecular weight of the obtained NMU recombinant protein was consistent with the expected molecular (13 kDa) and it was expressed in the form of inclusion body. The titer and specificity of obtained rabbit anti-sheep NMU polyclonal antibody were good. The results of immunofluorescence analysis showed that the nerve fibers which specifically expressed NMU mainly extended from the ganglion in the submucosal to lamina propria (LP) in the sheep small intestine, and the expression level was relatively high; especially on the nerve fibers of LP around the intestinal glands. The expression levels were gradually increased from the duodenum to the ileum, and the levels in the jejunum and ileum were significantly higher than that in the duodenum (P < 0.05). In addition, scattered NMU positive cells were distributed in the epithelium of the jejunal crypts. Moniezia benedeni infection increased the expression of NMU in each intestinal segment, especially in the jejunum and ileum there were significant increase (P < 0.05).

CONCLUSIONS

It was suggested that Moniezia benedeni infection could be detected by the high expression of NMU in sheep enteric nervous, and which laid the foundation for further studies on whether NMU exerts anti-parasitic immunity by activating ILC2s. In addition, NMU was expressed in some intestinal gland epitheliums, which also provided a basis for studying its roles in regulation of the immune homeostasis. The present study laid the foundation for further revealing the molecular mechanism of sheep's neural-immune interaction network perceiving the colacobiosis of parasites.

[Clinical and molecular pathological features of bronchopulmonary large cell neuroendocrine carcinoma]

Objective: To investigate the clinical manifestations, imaging, pathological and molecular features of bronchopulmonary large-cell neuroendocrine carcinoma (LCNEC). Methods: The clinical data of 216 LCNEC patients in the First Affiliated Hospital of Zhengzhou University from 2011 to 2021 were analyzed retrospectively. The clinical manifestations, tumor location and size, characteristics of CT images, immunohistochemical and molecular pathological features were analyzed and compared with 115 cases of mixed small cell carcinoma (M-SCLC) diagnosed in the same period. Results: Among the 216 LCNEC patients, there were 190 males and 26 females, with a median age of 65 years. The first symptoms of the patients were mainly cough (106 cases, 49.1%) and bloody sputum (48 cases, 22.2%). The median tumor length were 4.7cm, including 55 cases of nodular type (25.5%) and 161 cases of mass-forming type (74.5%). CT imaging results showed that LCNEC lesions had soft tissue density, and the proportion of slight enhancement lesions was significantly lower than that in M-SCLC group (52.3% vs 74.8%, P<0.001). In contrast, the proportion of necrosis (87.0% vs 58.3%, P<0.001) and calcification (26.9% vs 2.6%, P<0.001) in LCNEC patients was significantly higher than that in M-SCLC group. Immunohistochemical results showed that the positive rate of CK in LCNEC was significantly higher than that in M-SCLC (99.0 % vs 90.5%, P<0.05), while the positive rate of TTF-1 was significantly lower than that in M-SCLC (51.6% vs 67.0%, P<0.05). In LCNEC group, the proportion of patients with Ki-67 positive index between 50% and 80% was significantly higher than that of M-SCLC (41.2% vs 25.2%), while the proportion between 80% and 100% was lower than that of M-SCLC (51.9% vs 72.2%). There was no significant difference in the positive rates of CD56 (91.7% vs 94.6%, P=0.336), Syn (83.8% vs 84.7%, P=0.838) and CgA (54.8% vs 50.0%, P=0.632) in both tumor types. Molecular pathology results showed that frequent mutatios were TP53 (54.5%), RB1 (36.4%), KEAP1 (18.2%), MYC(18.2%), and PTEN (14.3%), and the rate of tumor mutation burden which is more than 25 mutation/Mb was 27.3%. Conclusions: LCNEC lacks specific clinical manifestations. CT imaging is powerful in distinguishing LCNEC from M-SCLC. LCNEC contains a specific mutation spectrum. Pathology combined with immunohistochemical staining is still the gold standard for LCNEC diagnosis, and the differentiation from M-SCLC mainly depends on cell size and nuclear chromatin pattern with light microscopy.

Experimental Evidence of Intrinsic Current Generation by Turbulence in Stationary Tokamak Plasmas

High-β_{θe} (a ratio of the electron thermal pressure to the poloidal magnetic pressure) steady-state long-pulse plasmas with steep central electron temperature gradient are achieved in the Experimental Advanced Superconducting Tokamak. An intrinsic current is observed to be modulated by turbulence driven by the electron temperature gradient. This turbulent current is generated in the countercurrent direction and can reach a maximum ratio of 25% of the bootstrap current. Gyrokinetic simulations and experimental observations indicate that the turbulence is the electron temperature gradient mode (ETG). The dominant mechanism for the turbulent current generation is due to the divergence of ETG-driven residual flux of current. Good agreement has been found between experiments and theory for the critical value of the electron temperature gradient triggering ETG and for the level of the turbulent current. The maximum values of turbulent current and electron temperature gradient lead to the destabilization of an m/n=1/1 kink mode, which by counteraction reduces the turbulence level (m and n are the poloidal and toroidal mode number, respectively). These observations suggest that the self-regulation system including turbulence, turbulent current, and kink mode is a contributing mechanism for sustaining the steady-state long-pulse high-β_{θe} regime.

[Microbial Composition and Diversity in Soil of Torreya grandis cv. Merrillii Relative to Different Cultivation Years After Land Use Conversion]

In order to explore the impacts of the land use conversion from a Phyllostachy pubescens (moso bamboo) forest to a Torreya grandis cv. Merrillii plantation, as well as the cultivating years of the T. grandis cv. Merrillii plantation, on the soil microbial community, this research studied the soil microbial structure and diversity of a moso bamboo forest, T. grandis cv. Merrillii plantations (5, 10, and 30 a), and a T. grandis cv. Merrillii-mountain rice interplanting plantation (5 a) using the high-throughput sequencing technique, and the relationship between the microbial community and environmental factors was further explored. The results showed that after the land use change, the Shannon index and Chao1 index of the soil bacterial community increased significantly; the Simpson index increased significantly in the 30 a T. grandis cv. Merrillii plantation, whereas the Shannon index decreased significantly. Both the Simpson index and Chao index of the soil fungal community had no significant difference under different land use types. whereas the Shannon index was significantly decreased in the 30 a T. grandis cv. Merrillii plantation. PCoA analysis of the soil microbial community at the genus level showed that land use type played a vital role in driving the changes in soil bacterial and fungal communities. The compositions of the soil microbial communities between the two 5 a stands were most similar. The dominant phyla of soil bacteria mainly included Acidobacteria, Proteobacteria, Actinobacteria, and Chloroflexi. The results of cluster analysis showed that the soil bacterial community changed significantly at the genus level after the conversion of land use; the abundance of most dominant bacterial communities decreased with increasing cultivation. The fungal community was mainly composed of Ascomycota, Basidiomycota, and Zygomycota, whose changes in community characteristics were similar to those of bacteria. The results of RDA analysis showed that pH, organic matter, available phosphorus, available potassium, and water-soluble organic carbon and nitrogen were significantly correlated with soil microbial community. Therefore, these soil fertility properties might be the driving factors affecting the structure of bacterial communities. This study provided a theoretical basis for solving the problem of soil quality deterioration in T. grandis cv. Merrillii stand land management.

Glyoxal damages human aortic endothelial cells by perturbing the glutathione, mitochondrial membrane potential, and mitogen-activated protein kinase pathways

Background

Exposure to glyoxal, the smallest dialdehyde, is associated with several diseases; humans are routinely exposed to glyoxal because of its ubiquitous presence in foods and the environment. The aim of this study was to examine the damage caused by glyoxal in human aortic endothelial cells.

Methods

Cell survival assays and quantitative fluorescence assays were performed to measure DNA damage; oxidative stress was detected by colorimetric assays and quantitative fluorescence, and the mitogen-activated protein kinase pathways were assessed using western blotting.

Results

Exposure to glyoxal was found to be linked to abnormal glutathione activity, the collapse of mitochondrial membrane potential, and the activation of mitogen-activated protein kinase pathways. However, DNA damage and thioredoxin oxidation were not induced by dialdehydes.

Conclusions

Intracellular glutathione, members of the mitogen-activated protein kinase pathways, and the mitochondrial membrane potential are all critical targets of glyoxal. These findings provide novel insights into the molecular mechanisms perturbed by glyoxal, and may facilitate the development of new therapeutics and diagnostic markers for cardiovascular diseases.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12872-021-02418-3.

Controlled generation of self-sustained oscillations in complex artificial neural networks

Spatially distinct, self-sustained oscillations in artificial neural networks are fundamental to information encoding, storage, and processing in these systems. Here, we develop a method to induce a large variety of self-sustained oscillatory patterns in artificial neural networks and a controlling strategy to switch between different patterns. The basic principle is that, given a complex network, one can find a set of nodes-the minimum feedback vertex set (mFVS), whose removal or inhibition will result in a tree-like network without any loop structure. Reintroducing a few or even a single mFVS node into the tree-like artificial neural network can recover one or a few of the loops and lead to self-sustained oscillation patterns based on these loops. Reactivating various mFVS nodes or their combinations can then generate a large number of distinct neuronal firing patterns with a broad distribution of the oscillation period. When the system is near a critical state, chaos can arise, providing a natural platform for pattern switching with remarkable flexibility. With mFVS guided control, complex networks of artificial neurons can thus be exploited as potential prototypes for local, analog type of processing paradigms.

[Evaluation on the quality of 236 National Demonstration Areas for comprehensive prevention and control of chronic diseases betweem 2017 and 2019]

Objective: To evaluate the quality of the National Demonstration Area for Comprehensive Prevention and Control of NCDs (referred to as "the Demonstration Area"). Methods: Based on the evaluation scores of the Demonstration Area field survey from 2017 to 2019, we counted the scores of each indicator, comparing the scores among indicators and regions. x±s was used to describe the scores. The 95%CI of the score was used to test the statistical difference among regions. Each score was converted into a hundred-mark system to compare the scores among indicators. Results: Of 236 Demonstration Areas, the total score was 83.5. The scores of the first-level indicator listed from high to low appeared as Integrating System of NCD Prevention and Control (92.8), Policy Perfection (90.3), Building Supportive Environment for NCD Prevention and Control (88.4), Implementation of Health Education and Health Promotion (87.4), Whole-course Management of NCDs (78.1), Innovation and Guidance (76.5), Surveillance and Evaluation (75.1). Total scores were higher in the east (259.2±18.8) comparing to the middle (243.2±15.2) or the west (245.4±19.7) regions. Conclusions: Substantial variations on the quality in the Demonstration Area existed across different regions in China. These disparities are important to the government when developing health policies and allocating resources. Whole-course Management of NCDs, Surveillance and Evaluation, and Innovation and Guidance in the Demonstration Area also needs to be improved.

Infima statistics of entropy production in an underdamped Brownian motor

The second law of thermodynamics states that the entropy never decreases for isolated macroscopical systems, which defines the arrow of time. For small systems, although the entropy increases on average, due to strong fluctuation, it may encounter a temporary decrease. The probability of negative entropy production follows the fluctuation theorem. Recently, it has been demonstrated theoretically the infima law that there exists a lower bound for the average values of the minima of the negative entropy production, which is -k_{B}. In this paper, we have constructed a horizontal Brownian motor immersed in a granular gas, whose dynamics is governed by the underdamped stochastic process. By recording the angular motion of the motor and measuring the key parameters of the system, we experimentally demonstrate that, despite the nonideal elements in the experiments and that the complex underlying dynamics, the average value of the minima of the negative entropy production is still bounded by -k_{B}, which may invoke further theoretical investigations of the applicability of the infima law in nonideal realistic small systems.

Total alkaloids of Sophora alopecuroides L. ameliorated murine colitis by regulating bile acid metabolism and gut microbiota

ETHNOPHARMACOLOGICAL RELEVANCE

Sophora alopecuroides L. is one of the most commonly used plants in traditional medicine for the management conditions including inflammatory and gastrointestinal disease. However, the therapeutic mechanism of Sophora alopecuroides L.particularly in inflammatory bowel disease (IBD) remains unclear.

AIM OF THE STUDY

To evaluate the treatment effects of total alkaloids of Sophora alopecuroides L. in ulcerative colitis (UC) mice model and explore the therapeutic mechanism of KDZ on UC based on bile acid metabolism and gut microbiota.

MATERIALS AND METHODS

Colitis were induced in BALB/c mice by administering 3.5% dextran sulfate sodium (DSS) in drinking water for 7 days. The mice were then given KDZ (300, 150 and 75 mg/kg) and the positive drug sulfasalazine (SASP, 450 mg/kg) via oral administration for 7 days. The levels of 23 bile acids in the liver, bile, serum, cecum content and colon were determined through ultra-performance liquid chromatography/tandem mass spectrometry (UPLC-MS/MS). The cecum microbiota was characterized through high-throughput Illumina MiSeq sequencing.

RESULTS

KDZ treatment significantly decreased the disease activity index (DAI) scores and ameliorated colonic injury in DSS-treated mice. The expression of IL-1β and TGF-β1 were suppressed, yet, IL-10 was up-regulated by KDZ and SASP treatment compared with those in the model group. Meanwhile, the serum contents of total bile acid and total cholesterol in the DSS group increased significantly compared with those in the control group, but reversed by SASP and KDZ. The relative abundance of Firmicutes increased after KDZ was administration, whereas the abundance of Bacteroidetes decreased. αMCA, βMCA, ωMCA and CA in the SASP and KDZ groups did not differ from those in the control group, whereas these parameters significantly increased in the DSS group.

CONCLUSIONS

KDZ had a protective effect on DSS-induced colitis by mitigating colonic injury, preventing gut microbiota dysbiosis and regulating bile acid metabolism.

[The impact evaluation of a community-based intervention supporting type 2 diabetes mellitus patients in their self-management of the disease]

Objective: To evaluate the effect of a community-based intervention supporting type 2 diabetes mellitus patients in their self-management of the disease. Methods: This research was a randomized controlled trial conducted in communities in Fangshan District, Beijing, China. Adult patients with type 2 diabetes from 17 communities in 4 sub-district of Fangshan District were randomly assigned to either the intervention or control group. Participants in the intervention group participated in a three-month group-based diabetes self-management intervention service. Data were collected both in intervention and control group at baseline and after the intervention to evaluate the effect of the intervention. A questionnaire survey was completed by all participants to collect their demographic information, diabetes related health behaviors and skills. A physical examination and lab testing including height, weight, blood pressure, and waist circumference as well as HbA1c, fasting blood glucose, lipid profile were conducted before and after the intervention. Results: A total of 500 valid questionnaires were received, including 259 in the intervention group and 241 in the control group. Patients in the intervention group who learned how to conduct the self-monitoring of blood glucose increased from 56.76% (n=147) to 87.26% (n=226) after the intervention, higher than that of control group (63.07%, n=152) (P<0.001). 69.50% (n=180) patients in intervention group had blood glucose monitor at home, which was 60.62% (n=157) prior to the intervention and higher than that of control group (57.68%, n=139) (P=0.004). After the intervention, 3.09% (n=8) patients in intervention group ceased to take medicine by themselves, which was 16.22% (n=42) before the intervention, while the control group was 8.30% (n=20) after the intervention (P=0.009). Patients in the intervention group made significant improvements in implementing self monitoring on blood glucose (SMBG), which was increased from one day per week to 2 days per week, and foot self-examination, which increased from 2 days per week to 7 days per week. The body weight of patients in the intervention group reduced 1.62 kg on average after the intervention, while it increased 0.88 kg in the control group. Similar improvement was found in waist circumstance between the intervention and control group (-0.83 cm vs -0.16 m). There was a significant reduction on body weight and waist circumstance in the intervention group (P<0.05). Conclusion: The group activities focusing on people with type 2 diabetes resulted in improvement in their lifestyle and self management behaviors, as well as their body weight and waist circumstance.

Reinforcement learning meets minority game: Toward optimal resource allocation

The main point of this paper is to provide an affirmative answer through exploiting reinforcement learning (RL) in artificial intelligence (AI) for eliminating herding without any external control in complex resource allocation systems. In particular, we demonstrate that when agents are empowered with RL (e.g., the popular Q-learning algorithm in AI) in that they get familiar with the unknown game environment gradually and attempt to deliver the optimal actions to maximize the payoff, herding can effectively be eliminated. Furthermore, computations reveal the striking phenomenon that, regardless of the initial state, the system evolves persistently and relentlessly toward the optimal state in which all resources are used efficiently. However, the evolution process is not without interruptions: there are large fluctuations that occur but only intermittently in time. The statistical distribution of the time between two successive fluctuating events is found to depend on the parity of the evolution, i.e., whether the number of time steps in between is odd or even. We develop a physical analysis and derive mean-field equations to gain an understanding of these phenomena. Since AI is becoming increasingly widespread, we expect our RL empowered minority game system to have broad applications.

[Trend on mortalities in all-cause and chronic non-communicable diseases among the labor force population in China, 2007-2016]

Objective: To analyze the trends on mortalities of all-cause and deaths caused by chronic and non-communicable diseases (NCDs) among Chinese labor force population during 2007 to 2016. Methods: Data on cause-of-death that collected from the National Mortality Surveillance System was used to analyze the age and area-related specific crude mortality rates, age-standardized mortality rates and component ratios of NCDs, among the Chinese labor force population, during 2007 to 2016. Trend of crude mortality rates and mortality component ratios of the three major diseases (infectious diseases, maternal and infant diseases, nutritional deficiency diseases; NCDs; injuries) were analyzed. Age-standardized mortality of cancer, COPD, cardiovascular and cerebrovascular diseases were also analyzed by gender. Age-standardized mortality was calculated based on the Year 2010 Population Census of China. Joinpoint regression model was used to obtain annual percentage change and 95%CI was set for assessing the trend. Results: In 2016, the age-standardized all-cause mortality rate was 217.23 per 100 000 among the Chinese labor force population, but decreased by -2.8% (95%CI: -3.8%- -1.7%) annually from 2007 to 2016. The gap between different gender and regions gradually narrowed. The proportion of deaths caused by NCDs increased annually by 0.8% (95%CI: 0.7%-0.9%). The age-standardized mortality rate of NCDs appeared as 171.89/100 000, among the Chinese labor force population in 2016, showing a downward trend by -2.4% (95%CI:-3.3% - -1.4%). However, in females, there appeared the greatest decrease, with an average annual change of -3.3% (95%CI:-4.0% - -2.5%). Diseases as cancer, COPD, cardiovascular and cerebrovascular diseases all showed downward trends in the whole country, with an average range of -2.0% (95%CI: -2.6%--1.3%), -8.0% (95%CI: -8.9% - -7.1%), -1.5% (95%CI: -2.9% - -0.1%), -2.3% (95%CI: -2.8% - -1.8%) in a ten-year period, respectively. Conclusion: All-cause and age-standardized mortality rates caused by NCDs among Chinese labor force population were decreasing during 2007 to 2016. However, the constituent ratios appeared increasing, year by year. Close attention needs to be paid on NCDs which affecting the health of the labor force population in China.

[Disease burden of diabetes attributable to high body mass index in China,1990-2016]

Objective: To analyze the burden of disease (BOD) on diabetes attributable to high BMI in China from 1990 to 2016. Methods: Data based on population of the 2016 Global Burden of Disease Study for China were used to analyze the attributable fractions (PAF) of BOD for diabetes attributable to high BMI. Measurements for attributable BOD of diabetes included disability adjusted life years (DALY), years of lost life (YLL), years living with disability (YLD), death number and mortality rate. The average world population from 2010 to 2035 was used as a reference. Results: In 2016, death number of diabetes attributable to high BMI was 40 310, which was significantly higher than that in 1990 (15 008). Age-standardized death rate of diabetes attributable to high BMI increased from 2.01/100 000 in 1990 to 2.60/100 000 in 2016, which showed a more significant increasing trend in both males and people aged 15-49 years. DALYs of diabetes attributable to high BMI increased from 1.09 million person years to 3.30 million person years. YLL and YLD also showed increasing trends. The highest increasing rate of YLD was in people aged 15-49 years. High BMI was responsible for 26.01% of the diabetes deaths in 2016 in China, an increase of 39.39% compared with that in 1990 (18.66%). Most provinces in China experienced a sharp increase of DALY of diabetes attributable to high BMI from 1990 to 2016. Inner Mongolia, Xinjiang, Zhejiang, Macao SAR, Sichuan and Qinghai had the most significant increase tendency in terms of DALY rate during this period. Conclusions: There was a rapid increase of the deaths and mortality rate of diabetes attributable to high BMI, causing a heavy disease burden, in China from 1990 to 2016. The BOD varied in both different age and gender groups. More attention should be paid to males and people aged 15-49 years in the prevention and control programs of diabetes.

[Effect of intervention programs regarding community "5+1" staged diabetes target management on patients with type 2 diabetes mellitus]

Objective: To analyze the effect of intervention programs and influencing factors regarding the community "5+1" staged diabetes target management on patients with type 2 diabetes mellitus (T2DM) and to provide evidence for improving the quality of life (QOL). Methods: A total of 12 community health service centers from Shanxi province, Jiangsu province, and Ningxia Hui autonomous region were selected as intervention group and control group, by stratified cluster sampling method. "5+1" model was used in intervention groups and basic public health services model was applied in control groups for this two-year follow-up. Data was collected through a questionnaire on demographic and disease-related information, while the QOL was measured with SF-36. Multiple linear regression and conducted by SAS 9.4. Results: A total of 2 467 subjects were included at baseline and 1 924 had completed a two-year-long management service. After intervention programs being implemented, the net effect of PCS score between the intervention and the control groups was 13.6, with the net effect of MCS score as 29.8. Results from the multiple linear regression showed that the main factors affecting PCS scores included age, type of medical insurance, baseline PCS score and regions of residency. Main factors related to MCS score included age, type of medical insurance, baseline MCS score, hypertension, and region of residency. Conclusion: Community "5+1" staged diabetes target management model presented favorable effect of improving the QOL on T2DM patients.

Construction of multiple linear regression models using blood biomarkers for selecting against abdominal fat traits in broilers

Plasma very low-density lipoprotein (VLDL) can be used to select for low body fat or abdominal fat (AF) in broilers, but its correlation with AF is limited. We investigated whether any other biochemical indicator can be used in combination with VLDL for a better selective effect. Nineteen plasma biochemical indicators were measured in male chickens from the Northeast Agricultural University broiler lines divergently selected for AF content (NEAUHLF) in the fed state at 46 and 48 d of age. The average concentration of every parameter for the 2 d was used for statistical analysis. Levels of these 19 plasma biochemical parameters were compared between the lean and fat lines. The phenotypic correlations between these plasma biochemical indicators and AF traits were analyzed. Then, multiple linear regression models were constructed to select the best model used for selecting against AF content. and the heritabilities of plasma indicators contained in the best models were estimated. The results showed that 11 plasma biochemical indicators (triglycerides, total bile acid, total protein, globulin, albumin/globulin, aspartate transaminase, alanine transaminase, gamma-glutamyl transpeptidase, uric acid, creatinine, and VLDL) differed significantly between the lean and fat lines (P < 0.01), and correlated significantly with AF traits (P < 0.05). The best multiple linear regression models based on albumin/globulin, VLDL, triglycerides, globulin, total bile acid, and uric acid, had higher R2 (0.73) than the model based only on VLDL (0.21). The plasma parameters included in the best models had moderate heritability estimates (0.21 ≤ h2 ≤ 0.43). These results indicate that these multiple linear regression models can be used to select for lean broiler chickens.

Finite-size scaling of clique percolation on two-dimensional Moore lattices

Clique percolation has attracted much attention due to its significance in understanding topological overlap among communities and dynamical instability of structured systems. Rich critical behavior has been observed in clique percolation on Erdős-Rényi (ER) random graphs, but few works have discussed clique percolation on finite dimensional systems. In this paper, we have defined a series of characteristic events, i.e., the historically largest size jumps of the clusters, in the percolating process of adding bonds and developed a new finite-size scaling scheme based on the interval of the characteristic events. Through the finite-size scaling analysis, we have found, interestingly, that, in contrast to the clique percolation on an ER graph where the critical exponents are parameter dependent, the two-dimensional (2D) clique percolation simply shares the same critical exponents with traditional site or bond percolation, independent of the clique percolation parameters. This has been corroborated by bridging two special types of clique percolation to site percolation on 2D lattices. Mechanisms for the difference of the critical behaviors between clique percolation on ER graphs and on 2D lattices are also discussed.

[On National Demonstration Areas: a cluster analysis]

Objective: To understand the 'backward' provinces and the relatively poor work among the construction of National Demonstration Area, so as to promote communication and future visions among different regions. Methods: Methods on Cluster analysis were used to compare the development of National Demonstration Area in different provinces, including the coverage of National Demonstration Area and the scores of non-communicable disease (NCDs) prevention and control work based on a standardized indicating system. Results: According to the results from the construction of National Demonstration Area, all the 29 provinces and the Xinjiang Production and Construction Corps (except Tibet and Qinghai) were classified into 6 categories: Shanghai; Beijing, Zhejiang, Chongqing; Tianjin, Shandong, Guangdong and Xinjiang Production and Construction Corps; Hebei, Fujian, Hubei, Jiangsu, Liaoning, Xinjiang, Hunan and Guangxi; Shanxi, Jilin, Henan, Hainan,Sichuan, Anhui and Jiangxi; Inner Mongolia, Shaanxi, Ningxia, Guizhou, Yunnan, Gansu and Heilongjiang. Based on the scores gathered from this study, 24 items that representing the achievements from the NCDs prevention and control endeavor were classified into 4 categories: Manpower, special day on NCD, information materials development, policy/strategy support, financial support, mass media, enabled environment, community fitness campaign, health promotion for children and teenage, institutional structure and patient self-management; healthy diet, risk factors on NCDs surveillance, tobacco control and community diagnosis; intervention of high-risk groups, identification of high-risk groups, reporting system on cardiovascular and cerebrovascular events, popularization of basic public health service, workplace intervention programs, construction of demonstration units and mortality surveillance; oral hygiene and tumor registration. Contents including oral hygiene, tumor registration, intervention on high-risk groups, identification of high-risk population, reporting system on cardiovascular and cerebrovascular events, popularization of basic public health service, workplace intervention programs, construction of demonstration units and mortality surveillance were discerned as the relatively weak areas in the construction programs of National Demonstration Area. Conclusions: Western regions, especially in some remote provinces had the poorest performance during the construction of National Demonstration Area. Programs regarding chronic disease surveillance, identification and intervention on high-risk groups showed the lowest scores and these outcome-oriented tasks should be further focused on, during the next term of review, in these areas.

Combination of IL-6, IL-10, and MCP-1 with traditional serum tumor markers in lung cancer diagnosis and prognosis

Early detection and treatment is critically important for lung cancer patients. Inflammatory mediators such as IL-6, IL-10, and MCP-1 participate in lung cancer regulation. CEA, CA125, and ProGRP are commonly used serum tumor markers for lung cancer. In this study, we assessed the sensitivity and specificity of CEA, CA125, and ProGRP when used in combination with IL-6, IL-10, and MCP in lung cancer diagnosis. Serum from three different groups (healthy controls, individuals with high risk for lung cancer, and lung cancer patients) was collected. Electrochemiluminescence was used to detect expressions of CEA, CA125, and ProGRP; ELISA was used to examine serum levels of IL-6, IL-10, and MCP-1. Specificity and sensitivity of single as well as combination markers in lung cancer diagnosis were determined. Results indicated that CEA, CA125, ProGRP, and MCP-1 were significantly up-regulated in lung cancer patients as compared to those in controls and high risk individuals. Higher IL-6 and IL-10 levels were observed in both lung cancer patients and high-risk individuals as compared to those in controls. Highest sensitivity (95.2%) in cancer diagnosis was achieved when all six markers were used. This was followed by a combination of IL-6, IL-10, CEA, CA125, and ProGRP (92.6%). The most sensitive (88.6%). Four-marker combination was composed of IL-6, CEA, CA125, and ProGRP. As the combined usage of CEA, CA125, ProGRP, IL-6, IL-10, and MCP-1 significantly improved sensitivity of lung cancer detection; this biomarker arrangement may be beneficial for early diagnosis, treatment, and prognosis of lung cancer.

Synchronization of Geodesic Acoustic Modes and Magnetic Fluctuations in Toroidal Plasmas

The synchronization of geodesic acoustic modes (GAMs) and magnetic fluctuations is identified in the edge plasmas of the HL-2A tokamak. Mesoscale electric fluctuations (MSEFs) having components of a dominant GAM, and m/n=6/2 potential fluctuations are found at the same frequency as that of the magnetic fluctuations of m/n=6/2 (m and n are poloidal and toroidal mode numbers, respectively). The temporal evolutions of the MSEFs and the magnetic fluctuations clearly show the frequency entrainment and the phase lock between the GAM and the m/n=6/2 magnetic fluctuations. The results indicate that GAMs and magnetic fluctuations can transfer energy through nonlinear synchronization. Such nonlinear synchronization may also contribute to low-frequency zonal flow formation, reduction of turbulence level, and thus confinement regime transitions.

Observation of Double Impurity Critical Gradients for Electromagnetic Turbulence Excitation in Tokamak Plasmas

The impact of impurity ions on a pedestal has been investigated in the HL-2A Tokamak, at the Southwestern Institute of Physics, Chengdu, China. Experimental results have clearly shown that during the H-mode phase, an electromagnetic turbulence was excited in the edge plasma region, where the impurity ions exhibited a peaked profile. It has been found that double impurity critical gradients are responsible for triggering the turbulence. Strong stiffness of the impurity profile has been observed during cyclic transitions between the I-phase and H-mode regime. The results suggest that the underlying physics of the self-regulated edge impurity profile offers the possibility for an active control of the pedestal dynamics via pedestal turbulence.

Serum sex hormone levels in different severity of male adult obstructive sleep apnea-hypopnea syndrome in East Asians

Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a serious health issue, which can impact the hormone secretion. The aim of this study is to analyze the relationship between serum sex hormone concentrations and different severity degree of OSAHS, and to evaluate the influence of OSAHS on sex hormone levels. We enrolled 116 subjects who were subjected to polysomnography (PSG). They were divided into three groups: control group (n=10) [apnea hypopnea index (AHI) <5/h], mild-moderate OSAHS group (n=15) (5≤AHI<30/h), and severe OSAHS group (n=91) (AHI≥30/h). The patients in OSAHS group were subdivided into obesity and non-obesity subgroups. The parameters such as AHI, body mass index (BMI), lowest oxygen saturation (LSaO2), and mean oxygen saturation (MSaO2) were recorded. Serum levels of testosterone, polactin, estradiol, follicle stimulating hormone (FSH) and luteinizing hormone (LH) were determined in the morning immediately after waking up. Mean levels of hormones were compared among groups. The correlation between hormone levels and sleep-breathing parameters was analyzed. No significant differences in serum sex hormone levels were found among control, mild-moderate OSAHS, and severe OSAHS groups (P>0.05). There was no correlation between AHI and sex hormone levels (P>0.05). Testosterone was significantly negatively correlated with BMI (P<0.05). These results suggested that BMI might have a direct effect on testosterone level, and it might be an important factor affecting testosterone level in male OSAHS patients, and there may be no correlation between severity of OSAHS and sex hormones levels.

Identification of the man-made barium copper silicate pigments among some ancient Chinese artifacts through spectroscopic analysis

This article describes the complementary application of non-invasive micro-Raman spectroscopy and energy dispersive X-ray fluorescence spectrometry to the characterization of some ancient Chinese silicate artifacts. A total of 28 samples dated from fourth century BC to third century AD were analyzed. The results of chemical analysis showed that the vitreous PbO-BaO-SiO2 material was used to sinter these silicate artifacts. The barium copper silicate pigments including BaCuSi4O10, BaCuSi2O6 and BaCu2Si2O7 were widely identified from colorful areas of the samples by Raman spectroscopy. In addition, other crystalline phases such as Fe2O3, BaSi2O5, BaSO4, PbCO3 and quartz were also identified. The present study provides very valuable information to trace the technical evolution of man-made barium copper silicate pigments and their close relationship with the making of ancient PbO-BaO-SiO2 glaze and glass.

Triple grouping and period-three oscillations in minority-game dynamics

Dynamical systems based on the minority game (MG) have been a paradigm for gaining significant insights into a variety of social and biological behaviors. Recently, a grouping phenomenon has been unveiled in MG systems of multiple resources (strategies) in which the strategies spontaneously break into an even number of groups, each exhibiting an identical oscillation pattern in the attendance of game players. Here we report our finding of spontaneous breakup of resources into three groups, each exhibiting period-three oscillations. An analysis is developed to understand the emergence of the striking phenomenon of triple grouping and period-three oscillations. In the presence of random disturbances, the triple-group/period-three state becomes transient, and we obtain explicit formula for the average transient lifetime using two methods of approximation. Our finding indicates that, period-three oscillation, regarded as one of the most fundamental behaviors in smooth nonlinear dynamical systems, can also occur in much more complex, evolutionary-game dynamical systems. Our result also provides a plausible insight for the occurrence of triple grouping observed, for example, in the U.S. housing market.

Universal flux-fluctuation law in small systems

The relation between flux and fluctuation is fundamental to complex physical systems that support and transport flows. A recently obtained law predicts monotonous enhancement of fluctuation as the average flux is increased, which in principle is valid but only for large systems. For realistic complex systems of small sizes, this law breaks down when both the average flux and fluctuation become large. Here we demonstrate the failure of this law in small systems using real data and model complex networked systems, derive analytically a modified flux-fluctuation law, and validate it through computations of a large number of complex networked systems. Our law is more general in that its predictions agree with numerics and it reduces naturally to the previous law in the limit of large system size, leading to new insights into the flow dynamics in small-size complex systems with significant implications for the statistical and scaling behaviors of small systems, a topic of great recent interest.

Incidence of acute mountain sickness in young adults at 3200 meters: comparison of the Lake Louise Scoring and Chinese Scoring Systems

The purpose of this study was to compare two scoring systems used for the diagnosis of acute mountain sickness (AMS): the Lake Louise Scoring (AMS-LLS) and the Chinese Scoring Systems (AMS-CSS). In total, 339 healthy young adult volunteers residing at sea level ascended to 3200 m by train and bus over a total journey time of 48 h. All subjects ascended in the same manner and were divided into three groups that were assessed after one (N = 88), two (N = 91), and three (N = 160) nights, respectively, at altitude. The overall incidence of AMS was 17.11% (N = 58) and 29.79% (N = 101) according to the AMS-LLS and AMS-CSS, respectively. Two participants (0.59%) experienced high-altitude pulmonary edema. Both scoring systems showed the highest incidence of AMS after the second night at high altitude. The AMS-CSS and AMS-LLS scores were significantly correlated (Pearson's r = 0.820, P < 0.001). The AMS-CSS identified all AMS subjects diagnosed by the AMS-LLS, and an additional 43 subjects. The dominant symptoms were reduced exercise tolerance (61.7%), fatigue (49.0%), dizziness (28.9%), chest distress (28.3%), and headache (27.4%). Compared with the AMS-LLS, the sensitivity, specificity, and positive and negative predictive values of the AMS-CSS were 100, 84.7, 57.43, and 100%, respectively. There was no relationship between oxygen saturation levels and AMS scores at 3200 m. In summary, the AMS-CSS was similar to AMS-LLS, except that it resulted in more positive diagnoses, and headache did not play a large diagnostic role.

Dynamics of low-intermediate-high-confinement transitions in toroidal plasmas

The dynamic features of the low-intermediate-high-(L-I-H) confinement transitions on HL-2A tokamak are presented. Here we report the discovery of two types of limit cycles (dubbed type-Y and type-J), which show opposite temporal ordering between the radial electric field and turbulence intensity. In type-Y, which appears first after an L-I transition, the turbulence grows first, followed by the localized electric field. In contrast, the electric field leads type-J. The turbulence-induced zonal flow and pressure-gradient-induced drift play essential roles in the two types of limit cycles, respectively. The condition of transition between types-Y and -J is studied in terms of the normalized radial electric field. An I-H transition is demonstrated to occur only from type-J.

Controlling collective dynamics in complex minority-game resource-allocation systems

Resource allocation takes place in various kinds of real-world complex systems, such as traffic systems, social services institutions or organizations, or even ecosystems. The fundamental principle underlying complex resource-allocation dynamics is Boolean interactions associated with minority games, as resources are generally limited and agents tend to choose the least used resource based on available information. A common but harmful dynamical behavior in resource-allocation systems is herding, where there are time intervals during which a large majority of the agents compete for a few resources, leaving many other resources unused. Accompanying the herd behavior is thus strong fluctuations with time in the number of resources being used. In this paper, we articulate and establish that an intuitive control strategy, namely pinning control, is effective at harnessing the herding dynamics. In particular, by fixing the choices of resources for a few agents while leaving the majority of the agents free, herding can be eliminated completely. Our investigation is systematic in that we consider random and targeted pinning and a variety of network topologies, and we carry out a comprehensive analysis in the framework of mean-field theory to understand the working of control. The basic philosophy is then that, when a few agents waive their freedom to choose resources by receiving sufficient incentives, the majority of the agents benefit in that they will make fair, efficient, and effective use of the available resources. Our work represents a basic and general framework to address the fundamental issue of fluctuations in complex dynamical systems with significant applications to social, economical, and political systems.

Emergence of grouping in multi-resource minority game dynamics

Complex systems arising in a modern society typically have many resources and strategies available for their dynamical evolutions. To explore quantitatively the behaviors of such systems, we propose a class of models to investigate Minority Game (MG) dynamics with multiple strategies. In particular, agents tend to choose the least used strategies based on available local information. A striking finding is the emergence of grouping states defined in terms of distinct strategies. We develop an analytic theory based on the mean-field framework to understand the "bifurcations" of the grouping states. The grouping phenomenon has also been identified in the Shanghai Stock-Market system, and we discuss its prevalence in other real-world systems. Our work demonstrates that complex systems obeying the MG rules can spontaneously self-organize themselves into certain divided states, and our model represents a basic and general mathematical framework to address this kind of phenomena in social, economical and political systems.

Frequency-resolved nonlinear turbulent energy transfer into zonal flows in strongly heated L-mode plasmas in the HL-2A tokamak

The absolute rate of nonlinear energy transfer among broadband turbulence, low-frequency zonal flows (ZFs) and geodesic acoustic modes (GAMs) was measured for the first time in fusion-grade plasmas using two independent methods across a range of heating powers. The results show that turbulent kinetic energy from intermediate frequencies (20-80 kHz) was transferred into ZFs and GAMs, as well as into fluctuations at higher frequencies (>80  kHz). As the heating power was increased, the energy transfer from turbulence into GAMs and the GAM amplitudes increased, peaked and then decreased, while the energy transfer into the ZFs and the ZFs themselves increased monotonically with heating power. Thus there exists a competition between ZFs and GAMs for the transfer of turbulent energy, and the transfer into ZFs becomes dominant as the heating power is increased. The poloidal-radial Reynolds stress and the mean radial electric field profiles were also measured at different heating powers and found to be consistent with the energy transfer measurement. The results suggest that ZFs play an important role in the low-to-high (L-H) plasma confinement transition.

β-induced Alfvén eigenmodes destabilized by energetic electrons in a Tokamak plasma

The β-induced Alfvén eigenmode (BAE) excited by energetic electrons has been identified for the first time both in the Ohmic and electron cyclotron resonance heating plasma in HL-2A. The features of the instability, including its frequency, mode number, and propagation direction, can be observed by magnetic pickup probes. The mode frequency is comparable to that of the continuum accumulation point of the lowest frequency gap induced by the shear Alfvén continuous spectrum due to finite β effect, and it is proportional to Alfvén velocity at thermal ion β held constant. The experimental results show that the BAE is related not only with the population of the energetic electrons, but also their energy and pitch angles. The results indicate that the barely circulating and deeply trapped electrons play an important role in the mode excitation.

Observation of a spontaneous particle-transport barrier in the HL-2A tokamak

Using the profile analysis, the density perturbation transport analysis, and the Doppler reflectometry measurement, for the first time a spontaneous and steady-state particle-transport barrier has been evidenced in the Ohmic plasmas in the HL-2A tokamak with no externally applied momentum or particle input except the gas puffing. A threshold in density has been found for the observation of the barrier. The particle diffusivity is well-like, and the convection is found to be inward outside the well and outward inside the well. The formation of the barrier coincides with the transition between the trapped electron mode and the ion temperature gradient driven mode.

A method of particle transport study using supersonic molecular beam injection and microwave reflectometry on HL-2A tokamak

A method of the particle transport study using supersonic molecular beam injection (SMBI) and microwave reflectometry is reported in this paper. Experimental results confirm that pulsed SMBI is a good perturbation source with deeper penetration and better localization than the standard gas puffing. The local density modulation is induced using the pulsed SMBI and the perturbation density is measured by the microwave reflectometry. Using Fourier transform analysis for the local density perturbation, radial profiles of the amplitude and phase of the density modulation can be obtained. The experimental results in HL-2A show that the particle injected by SMBI is located at about r/a=0.65-0.75. The position of the main particle source can be determined through three aspects: the minimum of the phase of the first harmonic of the Fourier transform of the modulated density measured by microwave reflectometry; the H(a) intensity profile and the local density increase ratio. The maximum of the amplitude of the first harmonic shifts often inward relative to the particle source location, which indicates clearly there is an inward particle pinch in this area. Good agreement has been found between the experimental results and the simulation using analytical transport model. The particle diffusivity D and the particle convection velocity V have been obtained by doing this simulation. The sensitivity in the transport coefficients of the amplitude and the phase of the density modulation has been discussed.

Characterizations of low-frequency zonal flow in the edge plasma of the HL-2A tokamak

A low-frequency (<4 kHz), poloidally and toroidally symmetrical potential structure that peaks near zero frequency is observed in the edge plasma of the HL-2A tokamak. The axisymmetry structure exhibits a radial coherence length less than 1 cm. These characteristics are consistent with the theoretically predicted low-frequency zonal flows (LFZF). The radial wave-number frequency spectra of the LFZF show that the LFZF packets propagate both outwards and inwards. The geodesic acoustic mode (GAM) is found to coexist with the LFZF, and the LFZF is found to modulate the GAM and ambient turbulence with in-phase and antiphase relations, respectively, through an envelope analysis.

Generic mechanism of microturbulence suppression by vortex flows

The interaction between two-dimensional vortex flows and microturbulence is studied numerically using gyrofluid simulations. It is shown that, qualitatively different from usual mean flows, vortex flows can dramatically suppress microturbulence even with weak flow shear. A generic suppression mechanism is identified as the multiplied effect of both radial and poloidal mode couplings, which induce the formation of a new global mode. Furthermore, an oscillatory zonal flow is found to form through interaction between the vortex flows and microturbulence.

Fast resistive reconnection regime in the nonlinear evolution of double tearing modes

Phases of nonlinear double tearing modes are studied numerically. The first two phases lead to the formation and growth of magnetic islands and are followed by a fast reconnection phase to complete the process, driven by a process of neighboring magnetic separatrices merging and magnetic islands coupling. The fast growth can be understood as a result of the island interaction equivalent to a steadily inward flux boundary driven. Resistivity dependences for various phases are studied and shown by scaling analysis for the first time. It is found that after an early Sweet-Parker phase with a eta(1/2)-scale, a slow nonlinear phase in a Rutherford regime with a eta(1)-scale is followed by the fast reconnection phase with a eta(1/5)-scale.

Toroidal symmetry of the geodesic acoustic mode zonal flow in a tokamak plasma

The toroidal symmetry of the geodesic acoustic mode (GAM) zonal flows is identified with toroidally distributed three step Langmuir probes at the edge of the HuanLiuqi-2A (commonly referred to as HL-2A) tokamak plasmas for the first time. High coherence of both the GAM and the ambient turbulence for the toroidally displaced measurements along a magnetic field line is observed, in contrast with the high coherence of the GAM but low coherence of the ambient turbulence when the toroidally displaced measurements are not along the same field line. The radial and poloidal features of the flows are also simultaneously determined. The nonlinear three wave coupling between the high frequency turbulent fluctuations and the flows is demonstrated to be a plausible formation mechanism of the flows.

Pharmacokinetics of ibuprofen enantiomers in children with cystic fibrosis

Chiral inversion of R(-)- to S(+)-ibuprofen in children with cystic fibrosis was investigated. Children with cystic fibrosis (n = 38, ages 2-13 years) were administered a single oral dose of racemic ibuprofen (20 mg/kg), and the pharmacokinetics of ibuprofen was found to be stereoselective. Mean Cmax, AUC, apparent CL/F, and Varea/F of S-ibuprofen were significantly different from those of R-ibuprofen. The enantiomeric ratio of plasma AUC (S:R = 2.09:1) and of free and conjugated ibuprofen in urine (S:R = 13.9:1) of children with cystic fibrosis was not different from reported values for healthy children and adults. No significant gender difference was observed for any of the pharmacokinetic parameters determined. However, there was an inverse linear relationship between the CL/F of R-ibuprofen and age in children with cystic fibrosis. Apparent CL/F was higher in children with cystic fibrosis than previously reported for healthy children; therefore, higher doses of ibuprofen would be necessary for children with cystic fibrosis.

Effect of selective phase II enzyme inducers on glucuronidation of benoxaprofen in rats

The induction of benoxaprofen (BNX) glucuronidation in rats by intragastric administration of three nitrogen heterocycles (quinoline, 2,2'-dipyridyl, or 1,7-phenanthroline at 75 mg/kg daily for 3 days) has been investigated. BNX was administered i.v. at a dose of 20 mg/kg to bile-cannulated rats that had been induced. Blood and bile were collected over 8 h. Liver tissues were also collected at the end of the 8-h study and used to examine conjugation activity of BNX by UDP-glucuronosyl transferases and cytochrome P-450 enzyme activities in vitro. Two methods were used to characterize the true metabolic formation rates of the labile benoxaprofen glucuronide conjugate in vitro, which gave comparable mean values for K(M) and V(max). There appeared to be a trend of increase of the V(max) of BNX glucuronidation in rat liver microsomes by all three nitrogen heterocycles; however, the induction was only significant with 1,7-phenanthroline. K(M) was not noticeably altered by any of the three inducers. No change of measured hepatic microsomal cytochrome P-450 activities in the rat was found. BNX glucuronidation in rats in vivo was increased by all three nitrogen heterocycles with 1,7-phenanthroline more effective than quinoline and 2,2'-dipyridyl. The use of nitrogen heterocycles provides a means to modulate exposure to labile, reactive acyl glucuronides in vivo without apparent changes in oxidative metabolism.