The Effects of Environmental Regulation, Cooperation and Green Innovation on Regional Green Growth

Over past twenty years, green growth has been practiced by a lot of countries. Questions of factors driving green growth have become hot topic. Although some studies discuss determinants of green growth, a few studies integrate them in a methodological framework. In addition, innovation cooperation is considered as an effective method to improve green growth, but there is few significant attempt to investigate the relationship in quantity. As a result, this paper proposes an integrated model to explore determinants of green growth, including environmental regulation, innovation cooperation, and green innovation. Structural equation model is used to test the proposed model with research data of 30 Chinese provinces. In turn, we have several valuable findings. Firstly, new empirical relationship between innovation collaboration, green innovation and green growth development is examined. Our empirical results show that innovation collaboration significantly positively influences green innovation and green growth performance. Secondly, the findings display that environmental regulation is a significant positive determinant of innovation cooperation, green innovation and green growth performance respectively. Thirdly, the theoretical model is powerful and robust, which can make us advance the understanding of green growth performance in environmental regulation context. Finally, several implications are discussed while some limitations are also showed. Keywords: Environmental regulation; innovation collaboration; green innovation; green growth; structural equation model

The Effects of Environmental Regulation, Cooperation and Green Innovation on Regional Green Growth

Over past twenty years, green growth has been practiced by a lot of countries. Questions of factors driving green growth have become hot topic. Although some studies discuss determinants of green growth, a few studies integrate them in a methodological framework. In addition, innovation cooperation is considered as an effective method to improve green growth, but there is few significant attempt to investigate the relationship in quantity. As a result, this paper proposes an integrated model to explore determinants of green growth, including environmental regulation, innovation cooperation, and green innovation. Structural equation model is used to test the proposed model with research data of 30 Chinese provinces. In turn, we have several valuable findings. Firstly, new empirical relationship between innovation collaboration, green innovation and green growth development is examined. Our empirical results show that innovation collaboration significantly positively influences green innovation and green growth performance. Secondly, the findings display that environmental regulation is a significant positive determinant of innovation cooperation, green innovation and green growth performance respectively. Thirdly, the theoretical model is powerful and robust, which can make us advance the understanding of green growth performance in environmental regulation context. Finally, several implications are discussed while some limitations are also showed. Keywords: Environmental regulation; innovation collaboration; green innovation; green growth; structural equation mode

The Policy Process Research of Family Doctor System in China: from the Perspective of the Multiple-Streams Theory

Under context of aging population and chronic disease with high occurrence as well as difficulty and expensive costs in medical treatment, the establishment about system of family doctors has been brought about in China, but there lacks domestic research for process of policy evolution endowed with such significance. This paper tries to analyze process of institutional establishment of family doctors in view of multiple-streams theory; the evolution process about institutional construction of family doctors should have systematic classification with analysis of problem stream, policy stream and political stream respectively as well as facts based on fundamental challenges of grassroots public health; explanation should be made for features and inspiration about institutional construction of family doctors to further verify feasibility of multiple streams theory in China. The fact has found that social background and actor will influence agenda about institutional construction of family doctors, some agenda of basic public health service policy will not be promoted by accidental focus events; active public participation and attention will exert influence for formation of political stream. Keywords: family doctor, multiple-streams theory, policy process, agenda setting

Transcriptome of Small Regulatory RNAs in the Development of the Zoonotic Parasite Trichinella spiralis

BACKGROUND: Trichinella spiralis is a parasite with unique features. It is a multicellular organism but with an intracellular parasitization and development stage. T. spiralis is the helminthic pathogen that causes zoonotic trichinellosis and afflicts more than 10 million people worldwide, whereas the parasite's biology, especially the developmental regulation is largely unknown. In other organisms, small non-coding RNAs, such as microRNAs (miRNA) and small interfering RNAs (siRNA) execute post-transcriptional regulation by translational repression or mRNA degradation, and a large number of miRNAs have been identified in diverse species. In T. spiralis, the profile of small non-coding RNAs and their function remains poorly understood. METHODOLOGY AND PRINCIPAL FINDINGS: Here, the transcriptional profiles of miRNA and siRNA in three developmental stages of T. spiralis in the rat host were investigated, and compared by high-throughput cDNA sequencing technique ("RNA-seq"). 5,443,641 unique sequence tags were obtained. Of these, 21 represented conserved miRNAs related to 13 previously identified metazoan miRNA families and 213 were novel miRNAs so far unique to T. spiralis. Some of these miRNAs exhibited stage-specific expression. Expression of miRNAs was confirmed in three stages of the life cycle by qRT-PCR and northern blot analysis. In addition, endogenous siRNAs (endo-siRNAs) were found mainly derived from natural antisense transcripts (NAT) and transposable elements (TE) in the parasite. CONCLUSIONS AND SIGNIFICANCE: We provide evidence for the presence of miRNAs and endo-siRNAs in T. spiralis. The miRNAs accounted for the major proportion of the small regulatory RNA population of T. spiralis, while fewer endogenous siRNAs were found. The finding of stage-specific expression patterns of the miRNAs in different developmental stages of T. spiralis suggests that miRNAs may play important roles in parasite development. Our data provide a basis for further understanding of the molecular regulation and functional evolution of miRNAs in parasitic nematodes

Defining the threshold: triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio’s non-linear impact on tubular atrophy in primary membranous nephropathy

BackgroundHyperlipidemia is common in primary membranous nephropathy (PMN) patients, and tubular atrophy (TA) is an unfavorable prognostic factor. However, the correlation between the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio and TA is controversial. Therefore, our study aimed to investigate the association between the TG/HDL-C ratio and TA in PMN patients.MethodsWe conducted a cross-sectional study and collected data from 363 PMN patients at Shenzhen Second People’s Hospital from January 2008 to April 2023. The primary objective was to evaluate the independent correlation between the TG/HDL-C ratio and TA using binary logistic regression model. We used a generalized additive model along with smooth curve fitting and multiple sensitivity analyses to explore the relationship between these variables. Additionally, subgroup analyses were conducted to delve deeper into the results.ResultsOf the 363 PMN patients, 75 had TA (20.66%). The study population had a mean age of 46.598 ± 14.462 years, with 217 (59.78%) being male. After adjusting for sex, age, BMI, hypertension, history of diabetes, smoking, alcohol consumption, UPRO, eGFR, HB, FPG, and ALB, we found that the TG/HDL-C ratio was an independent risk factor for TA in PMN patients (OR=1.29, 95% CI: 1.04, 1.61, P=0.0213). A non-linear correlation was observed between the TG/HDL-C ratio and TA, with an inflection point at 4.25. The odds ratios (OR) on the left and right sides of this inflection point were 1.56 (95% CI: 1.17, 2.07) and 0.25 (95% CI: 0.04, 1.54), respectively. Sensitivity analysis confirmed these results. Subgroup analysis showed a consistent association between the TG/HDL-C ratio and TA, implying that factors such as gender, BMI, age, UPRO, ALB, hypertension and severe nephrotic syndrome had negligible effects on the link between the TG/HDL-C ratio and TA.ConclusionOur study demonstrates a non-linear positive correlation between the TG/HDL-C ratio and the risk of TA in PMN patients, independent of other factors. Specifically, the association is more pronounced when the ratio falls below 4.25. Based on our findings, it would be advisable to decrease the TG/HDL-C ratio below the inflection point in PMN patients as part of treatment strategies

Prognostic value of fatty acid metabolism-related genes in colorectal cancer and their potential implications for immunotherapy

IntroductionColorectal cancer is one of the most common gastrointestinal cancers and the second leading cause of cancer-related death. Although colonoscopy screening has greatly improved the early diagnosis of colorectal cancer, its recurrence and metastasis are still significant problems. Tumour cells usually have the hallmark of metabolic reprogramming, while fatty acids play important roles in energy storage, cell membrane synthesis, and signal transduction. Many pathways of fatty acid metabolism (FAM) are involved in the occurrence and development of colon cancer, and the complex molecular interaction network contains a variety of genes encoding key enzymes and related products.MethodsClinical information and RNA sequencing data were collected from TCGA and GEO databases. The prognosis model of colon cancer was constructed by LASSO-Cox regression analysis among the selected fatty acid metabolism genes with differential expression. Nomogram for the prognosis model was also constructed in order to analyze its value in evaluating the survival and clinical stage of the colon cancer patients. The differential expression of the selected genes was verified by qPCR and immunohistochemistry. GSEA and GSVA were used to analyze the enrichment pathways for high- and low-risk groups. CIBERSORT was used to analyze the immune microenvironment of colon cancer and to compare the infiltration of immune cells in the high- and low-risk groups. The “circlize” package was used to explore the correlation between the risk score signature and immunotherapy for colon cancer.ResultsWe analysed the differential expression of 704 FAM-related genes between colon tumour and normal tissue and screened 10 genes with prognostic value. Subsequently, we constructed a prognostic model for colon cancer based on eight optimal FAM genes through LASSO Cox regression analysis in the TCGA-COAD dataset, and its practicality was validated in the GSE39582 dataset. Moreover, the risk score calculated based on the prognostic model was validated as an independent prognostic factor for colon cancer patients. We further constructed a nomogram composed of the risk score signature, age and American Joint Committee on Cancer (AJCC) stage for clinical application. The colon cancer cohort was divided into high- and low-risk groups according to the optimal cut-off value, and different enrichment pathways and immune microenvironments were depicted in the groups.DiscussionSince the risk score signature was significantly correlated with the expression of immune checkpoint molecules, the prognostic model might be able to predict the immunotherapy response of colon cancer patients. In summary, our findings expand the prognostic value of FAM-related genes in colon cancer and provide evidence for their application in guiding immunotherapy

PSR J1926-0652: A Pulsar with Interesting Emission Properties Discovered at FAST

We describe PSR J1926-0652, a pulsar recently discovered with the Five-hundred-meter Aperture Spherical radio Telescope (FAST). Using sensitive single-pulse detections from FAST and long-term timing observations from the Parkes 64-m radio telescope, we probed phenomena on both long and short time scales. The FAST observations covered a wide frequency range from 270 to 800 MHz, enabling individual pulses to be studied in detail. The pulsar exhibits at least four profile components, short-term nulling lasting from 4 to 450 pulses, complex subpulse drifting behaviours and intermittency on scales of tens of minutes. While the average band spacing P3 is relatively constant across different bursts and components, significant variations in the separation of adjacent bands are seen, especially near the beginning and end of a burst. Band shapes and slopes are quite variable, especially for the trailing components and for the shorter bursts. We show that for each burst the last detectable pulse prior to emission ceasing has different properties compared to other pulses. These complexities pose challenges for the classic carousel-type models.Comment: 13pages with 12 figure

Predictors for e-government adoption: Integrating TAM, TPB, trust and perceived risk

Purpose The present research aims to identify determinants for citizen’ behavioural adoption of e-government, explore relationships among these variables and investigate whether the proposed model can provide a more comprehensive manner to understand the adoption of e-government. Design/methodology/approach First, a survey is administered to collect data, then the Cronbach’s alpha is assessed for internal consistency of measurement scales; second, confirmatory factor analysis is conducted to evaluate the measurement model; finally, a structural equation model is used to test the proposed hypotheses and explore the determinants of e-government adoption. Findings Results indicate that the proposed model is a stable model with powerful explanatory of variation. In addition, some new relationships in the e-government context are found, whose disposition to trust has positive effect on social norms, whereas perceived risk negatively influences perceived behaviour control. Moreover, other key dominants have been investigated. Originality/value The findings have enabled us to better understand factors affecting intention and also provided a solid theoretical research model for future study

(4-Chloroacetanilido-κ2N,O)bis[2-(pyridin-2-yl)phenyl-κ2C1,N]iridium(III)

In the neutral mononuclear iridium(III) title compound, [Ir(C8H7ClNO)(C11H8N)2], the IrIII atom adopts an octahedral geometry, and is coordinated by two 2-phenylpyridyl ligands and one anionic 4-chloroacetanilide ligand. The 2-phenylpyridyl ligands are arranged in a cis-C,C′ and cis-N,N′ fashion. Each 2-phenylpyridyl ligand forms a five-membered ring with the IrIII atom. The 2-phenylpyridyl planes are perpendicular to each other [dihedral angle = 89.9 (1)°]. The Ir—C and Ir—N bond lengths are comparable to those reported for related iridium(III) 2-phenylpyridyl complexes. The remaining two coordination sites are occupied by the amidate N and O atoms, which form a four-membered ring with the iridium atom (Ir—N—C—O). The amidate plane is nearly perpendicular to both 2-phenylpyridyl ligands [dihedral angles = 87.8 (2) and 88.3 (2)°]