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Abstract Introduction Hemodialysis (HD) has various effects on the body, including optimizing body fluid composition and volume, which may have an impact on subfoveal choroidal thickness (SCT) in individuals with end-stage kidney disease (ESKD). However, previous studies have produced conflicting results regarding the effect of HD on SCT in patients with ESKD. Therefore, we conducted a meta-analysis to investigate the influence of HD on SCT. Methods A comprehensive search of relevant studies and bibliographies was conducted using Embase, PubMed, and Web of Science databases up to September 2022. Weighted mean difference (WMD) and 95% confidence interval (CI) were used to summarize the SCT change. Heterogeneity and publication bias were assessed, and a random-effects model was employed for the meta-analysis. Subgroup analyses were also performed to evaluate the influence of factors such as diabetes mellitus (DM), the severity of diabetic retinopathy (DR), diurnal variation adjustment, optical coherence tomography (OCT) types, and OCT scan modes. Results A total of 15 studies involving 1010 eyes were eligible for this meta-analysis, including 552 diabetic eyes, 230 non-diabetic eyes, and the remaining 228 eyes were uncategorized. The meta-analysis revealed a significant reduction in SCT after HD (WMD = −13.66 μm; 95% CI −24.29 to −3.03 μm; z = −5.115, P

Abstract Chronic pain is a prevalent health condition that imposes a significant burden on the global health system. Health literacy is a determinant of the quality of pain management which directly impacts public and individual health. However, the existing health literacy measurements have predominantly focused on medical models stemmed from Western culture and the knowledge of non-Western health models has largely been neglected. This review scopes refereed health literacy publications with regard to traditional Chinese medicine and chronic pain to explore and identify 1) the conceptual basis underlying the development of traditional Chinese medicine health literacy in this area, and 2) measurement tools used in this area and their associated psychometric qualities. Twenty-eight journal articles were assessed and the results showed that most studies’ conceptual frameworks were unable to cover three key health literacy aspects defined by the World Health Organization (access, understand, and apply). Furthermore, the identified health literacy measurement tools generally lacked rigorous psychometric evaluation. Future studies should focus on exploring a comprehensive model that encompasses various health models and developing measurement tools with more culturally representative psychometric assessments.

ABSTRACT Microorganisms are crucial components of the aquatic ecosystem due to their immense diversity and abundance. They are vital in sustaining ecological services, especially in maintaining essential biogeochemical cycles. Recent years have seen a substantial increase in surplus nitrogenous pollutants in aquatic ecosystems due to the heightened occurrence of anthropogenic activities. Elevated levels of free ammonia (FA, NH3), stemming from the discharge of excess nitrogenous pollutants, have caused notable fluctuations in aquatic ecosystems, leading to water eutrophication and various ecological challenges. The impact of these oscillations on microbial communities in aquatic ecosystems has not been extensively studied. This study employed 16S rRNA gene amplicon sequencing to systematically investigate the dynamics, co-occurrence networks, and assembly processes of microbial communities and their subcommunities (abundant, moderate, and rare) in the Luanhe River Diversion Project in China. Our findings indicate that NH3 concentration significantly influences the dynamics of microbial communities, with a notable decrease in community Richness and Phylogenetic Distance alongside increased community dissimilarity under higher NH3 conditions. The analysis revealed that certain microbial groups, particularly Actinobacteriaota, were notably more prevalent in environments with elevated NH3 levels, suggesting their potential resilience or adaptive responses to NH3 stress. Additionally, through co-occurrence network analysis, we observed dynamic changes in network topology and increased connectedness under NH3 stress. Key nodes, identified as connectors and module hubs, played crucial roles in maintaining network structure, particularly Cyanobacteria and Actinobacteriaota. Furthermore, stochastic processes, particularly drift and dispersal limitation, predominantly shaped the microbial communities. Within the three subcommunities, the impact of drift became more pronounced as the effect of dispersal limitation diminished. Overall, elucidating the dynamics of microbial communities in aquatic ecosystems exposed to NH3 can enhance our comprehension of the ecological mechanisms of microbial communities and provide new insights into the conservation of microbial community diversity and ecological functions.IMPORTANCEThe research presented in this paper explores how varying concentrations of free ammonia impact microbial communities in aquatic ecosystems. By employing advanced gene sequencing techniques, the study reveals significant changes in microbial diversity and network structures in response to increased ammonia levels. Key findings indicate that high ammonia concentrations lead to a decrease in microbial richness and diversity while increasing community dissimilarity. Notably, certain microbial groups, like Actinobacteria, show resilience to ammonia stress. This research enhances our understanding of how pollution affects microbial ecosystems and underscores the importance of maintaining balanced ammonia levels to preserve microbial diversity and ecosystem health.

Syndication among venture capital firms (VCFs) is increasingly prevailing in recent years, especially in emerging markets like China. Some of the VCFs have to syndicate with “worse performers” despite the “better performer preference.” The primary aim of this article is to contribute to our understanding of the impact performance gap among syndicated VCFs on formulation and duration of syndicate. The data consist of over 295,000 pair of VCFs syndicated in China mainland from 2000 to 2020. We find the negative effect of performance gap on the propensity of syndication with self-categorization of VCFs as the moderator. The key contribution of this paper is to test the significance of homogenous performance in syndication. This study advances the knowledge of agency in collaboration and sheds new light on organizational performance feedback in venture capital markets.

This study is based on the processing of computed microtomography images of rock samples. In this study, a finite automation is constructed using the grey value, red-green-blue (RGB) value and Euler number of polarized images of carbonate rocks from the Jingfengqiao–Baidiao area. The finite automaton is used to perform black and white binary processing of the polarized images of the carbonate rocks. The porosity of the carbonate rock is calculated based on the black and white binarization processing results of the polarized images of the carbonate rocks. The obtained porosity is compared with the carbonate porosity obtained by use of the traditional carbonate research method. When the two porosities are close, the image processing threshold of the finite automata is considered to be credible. Based on the finite automata established using the image processing threshold, the black and white binary images of the polarized images of the carbonate rocks are used to establish a rock pore image using ImageJ2X. The polarized images of the carbonate rocks are classified according to their RGB values using the finite automata for the porosity classification, and the obtained images are used as textures to paste onto a cube to construct a three-dimensional data model of the carbonate rocks. This study also uses 16S rDNA analysis to verify the formation mechanism of the carbonate pores in the Jingfengqiao–Baidiao area. The results of the 16S rDNA analysis show that the pores in the carbonate rocks in the Jingfengqiao–Baidiao area are closely related to microorganisms, represented by denitrifying bacteria.

Cross-border venture capitals (CBVCs) are increasingly prevailing in recent decades, inter alia in emerging markets like China. The venture capital (VC) firms investing outside their home countries are faced with foreignness which is broadly regarded as liability. The primary aim of this article is to contribute to our understanding how foreignness affects VC’s strategy when entering emerging markets, particularly with respect to the foreignness originated from cultural distance. The data consist of over 5,000 CBVC deals taking place in China mainland from 1988 to 2016. Our empirical study shows that, with foreignness growing, it turns from liability into advantage in the context of CBVCs. We find an inverse U-shape relationship between foreignness and syndication, with VC firm’s reputation as the moderator. Besides, foreign VC firms establish local subsidiary when faced with foreignness, which serves as alternative to syndication. The key contribution of this article is that foreignness turns from liability into advantage in emerging markets, which exerts a curvilinear impact on the entry strategy of VC firms. This study advances the knowledge of foreignness and VC strategy, and sheds new light on entrepreneurial activities in emerging markets.

Neural networks are widely used in automatic credit scoring systems with high accuracy and outstanding efficiency. However, in the absence of prior knowledge, it is difficult to determine the set of hyper-parameters, which makes its application limited in practice. This paper presents a novel framework of credit-scoring model based on neural networks trained by the optimal swarm intelligence (SI) algorithm. This framework incorporates three procedures. Step 1, pre-processing, including imputation, normalization, and re-ordering of the samples. Step 2, training, where SI algorithms optimize hyper-parameters of back-propagation artificial neural networks (BP-ANN) with the area under curve (AUC) as the evaluation function. Step 3, test, applying the optimized model in Step 2 to predict new samples. The results show that the framework proposed in this paper searches the hyper-parameter space efficiently and finds the optimal set of hyper parameters with appropriate time complexity, which enhances the fitting and generalization ability of BP-ANN. Compared with existing credit-scoring models, the model in this paper predicts with a higher accuracy. Additionally, the model enjoys a greater robustness, for the difference of performance between training and testing phases.

In contrast to obligate bacteria, facultative symbiotic bacteria are mainly characterized by genome enlargement. However, the underlying relationship of this feature with adaptations to various habitats remains unclear. In this study, we used the global genome data of Nostoc strains, including 10 novel genomes sequenced in this study and 26 genomes available from public databases, and analyzed their evolutionary history. The evolutionary boundary of the real clade of Nostoc species was identified and was found to be consistent with the results of polyphasic taxonomy. The initial ancestral species of Nostoc was demonstrated to be consistent with a facultative symbiotic population. Further analyses revealed that Nostoc strains tended to shift from facultative symbiosis to a free-living one, along with an increase in genome sizes during the dispersal of each exterior branch. Intracellular symbiosis was proved to be essentially related to Nostoc evolution, and the adaptation of its members to free-living environments was coupled with a large preference for gene acquisition involved in gene repair and recombination. These findings provided unique evidence of genomic mechanisms by which homologous microbes adapt to distinct life manners and external environments.

Microcystis is one of the most common and dominant bloom-forming cyanobacteria in freshwater worldwide. The method for genotype detection based on traditional molecular cloning is expensive and time consuming and generates a limited number of sequences. In this study, a high-throughput sequencing (HTS) method was developed to detect the internal transcribed spacer (ITS) regions between 16S and 23S rRNA region of Microcystis populations along a typical water system in Yuqiao Reservoir–Haihe River in Tianjin, northern China. A total of 629,341 reads were obtained and clustered into 2005 operational taxonomic units (OTUs). Analysis of alpha diversity indices showed that the Haihe River is more diverse than Yuqiao Reservoir. In general, the two water areas exhibit a clear differentiation pattern in OTU abundance, sharing genotypes from a small part of Yuqiao Reservoir with those in the Haihe River. Phylogenetic analysis further indicated the possible flexible evolution of Microcystis genotypes occurring in the research areas. This study provides the first exhaustive description of HTS method for detection of ITS region to evaluate Microcystis intra-species diversity and relationship.

Alternative splicing is an ubiquitous phenomenon in most human genes and has important functions. The switch-like exon is the type of exon that has a high level of usage in some tissues, but has a low level of usage in the other tissues. They usually undergo strong tissue-specific regulations. There is still a lack a systematic method to identify switch-like exons from multiple RNA-seq samples. We proposed a novel method called iterative Tertile Absolute Deviation around the mode (iTAD) to profile the distribution of exon relative usages among multiple samples and to identify switch-like exons and other types of exons using a robust statistic estimator. We validated the method with simulation data, and applied it on RNA-seq data of 16 human body tissues and detected 3,100 switch-like exons. We found that switch-like exons tend to be more associated with Alu elements in their flanking intron regions than other types of exons.