Review of Strongylogaster Dahlbom (Hymenoptera: Tenthredinidae) from Zhejiang Province, China, with the description of a new species

ABSTRACT Five species of Strongylogaster Dahlbom, 1835 are recorded from Zhejiang Province, China. They are four known species, S. formosana (Rohwer, 1916), S. macula (Klug, 1817), S. takeuchii Naito, 1980 and S. xanthocera (Stephens, 1835), and a new species. Strongylogaster tianmunica sp. nov., collected from Mt. Tianmu in Zhejiang Province, is here described and illustrated. This new species resembles S. nantouensis Naito, 1990, but differs from the latter by the following characters: female body length 10-12 mm, male body length 8-10 mm; tegula brown to dark brown; pronotum largely yellowish-white; trochanters black, apical half of hind femora and of hind tibiae yellowish-white; malar space as long as radius of median ocellus; antennomere 3 as long as antennomere 4; and ovipositor apical sheath with distinct lateral scapes. A key to the five species of Strongylogaster from Zhejiang Province is provided.</div

Review of the Pachyprotasis flavipes group (Hymenoptera: Tenthredinidae) from China with descriptions of two new species

ABSTRACT The flavipes group of Pachyprotasis Hartig, 1837, with twenty-four species recognized in China, is reviewed. This number includes two newly described species, Pachyprotasis rufodorsata sp. nov., from Sichuan, Hubei, Ningxia, and Shaanxi provinces, and Pachyprotasis nigritarsalia sp. nov., from Hunan province. The mesopleuron and metapleuron of the two new species are reddish-brown, distinguishing them from other similar species of the P. flavipes group. Thirty-four species of this group have been recorded from China, one species (P. variegate Fallén, 1808) was found to be widespread throughout Europe and Siberia, twenty-four were originally described from the China and Burma-Yunnan frontier, eleven from India, and five from Japan. A key to the species of this group from China is provided.</div

Recognizing Cognitive Load by a Hybrid Spatio-Temporal Causal Model from Multivariate Physiological Data

Cognitive load recognition is challenging due to the inherent diversity and causality of multivariate physiological changes, with each of its instances having its own style of physiological events and their spatio-temporal causal dependencies. This leads us to define a hybrid model that employs Granger causality (GC) and Gramian angular difference fields (GADF) to discover diverse varieties of multivariate physiological events. In particular, our model introduces a GC network to explicitly characterize the unique temporal causal configurations of a particular cognitive state as a variable number of nodes and links. In addition, GADF maps are constructed to capture the inherit spatio-temporal dependency among multivariate signals in a 2D structural space. A capsule network is designed to merge these two heterogenous types of features together in a uniform way, and as a result, all local causal and spatio-temporal dependencies are globally consistent. Empirical evaluations on one benchmark dataset and two in-house datasets collected by ourselves in virtual reality learning environment suggest our model significantly outperforms the state-of-the-art approaches

Supplementary document for Non-Hermitian bath model for arrays of coupled nanoresonators - 5465358.pdf

Supplementary Materia

Effective bath model for arrays of coupled non-Hermitian nanoresonators

Nanophotonics systems have recently been studied under the perspective of non-Hermitian physics. Given their potential for wavefront control, nonlinear optics and quantum optics, it is crucial to develop predictive tools to assist their design. We present here a simple model relying on the coupling to an effective bath consisting of a continuum of modes to describe systems of coupled resonators, and test it on dielectric nanocylinder chains accessible to experiments. The effective coupling constants, which depend non-trivially on the distance between resonators, are extracted from numerical simulations in the case of just two coupled elements. The model predicts successfully the dispersive and reactive nature of modes for configurations with multiple resonators, as validated by numerical solutions. It can be applied to larger systems, which are hardly solvable with finite-element approaches

Image_2_Salivary Microbiome Profile of Diabetes and Periodontitis in a Chinese Population.jpeg

AimThere is a bidirectional association between diabetes and periodontitis. However, the effect of diabetes on the periodontitis salivary microbiota has not been elucidated. The aim of this study was to determine the effect of the presence of diabetes on the microbiota among Chinese patients with periodontitis.Materials and MethodsUnstimulated whole saliva samples were collected from the periodontitis with diabetes group (TC), chronic periodontitis group (CP), and periodontally healthy and systemically healthy group (H) by spitting method. Bacterial genomic DNA was PCR-amplified at the V4 variable region of 16S rRNA gene. The library was constructed according to the obtained sequence results, and biological analysis and statistical analysis were carried out. Functional prediction of three groups of microbial communities was performed by the PICRUSt algorithm.ResultsThere was no significant difference in bacterial diversity between the TC and CP groups. Compared with the H group, the TC group and CP group presented a higher diversity of salivary flora. Firmicutes, Streptococcus, Haemophilus, Veillonella, and Haemophilus parainfluenzae dominated the H group. Corynebacterium, Leptotrichia, Dialister, Comamonas, Capnocytophaga, Catonella, Filifactor, Campylobacter, Treponema, Campylobacter concisus, Prevotella oralis, and Porphyromonas gingivalis were significantly enriched in the TC and CP groups. Among them, Treponema and P. oralis were the most abundant in the TC group. The PICRUSt results showed that many pathways related to cell motility and functional metabolism of the salivary microbial flora changed in the TC group and the CP group.ConclusionsDiabetes was not the main factor causing the altered diversity of salivary microbiota in patients with periodontitis; however, the presence of diabetes altered the abundance of some microbiota in saliva.</p

Image_6_Salivary Microbiome Profile of Diabetes and Periodontitis in a Chinese Population.jpeg

AimThere is a bidirectional association between diabetes and periodontitis. However, the effect of diabetes on the periodontitis salivary microbiota has not been elucidated. The aim of this study was to determine the effect of the presence of diabetes on the microbiota among Chinese patients with periodontitis.Materials and MethodsUnstimulated whole saliva samples were collected from the periodontitis with diabetes group (TC), chronic periodontitis group (CP), and periodontally healthy and systemically healthy group (H) by spitting method. Bacterial genomic DNA was PCR-amplified at the V4 variable region of 16S rRNA gene. The library was constructed according to the obtained sequence results, and biological analysis and statistical analysis were carried out. Functional prediction of three groups of microbial communities was performed by the PICRUSt algorithm.ResultsThere was no significant difference in bacterial diversity between the TC and CP groups. Compared with the H group, the TC group and CP group presented a higher diversity of salivary flora. Firmicutes, Streptococcus, Haemophilus, Veillonella, and Haemophilus parainfluenzae dominated the H group. Corynebacterium, Leptotrichia, Dialister, Comamonas, Capnocytophaga, Catonella, Filifactor, Campylobacter, Treponema, Campylobacter concisus, Prevotella oralis, and Porphyromonas gingivalis were significantly enriched in the TC and CP groups. Among them, Treponema and P. oralis were the most abundant in the TC group. The PICRUSt results showed that many pathways related to cell motility and functional metabolism of the salivary microbial flora changed in the TC group and the CP group.ConclusionsDiabetes was not the main factor causing the altered diversity of salivary microbiota in patients with periodontitis; however, the presence of diabetes altered the abundance of some microbiota in saliva.</p

Image_3_Salivary Microbiome Profile of Diabetes and Periodontitis in a Chinese Population.jpeg

AimThere is a bidirectional association between diabetes and periodontitis. However, the effect of diabetes on the periodontitis salivary microbiota has not been elucidated. The aim of this study was to determine the effect of the presence of diabetes on the microbiota among Chinese patients with periodontitis.Materials and MethodsUnstimulated whole saliva samples were collected from the periodontitis with diabetes group (TC), chronic periodontitis group (CP), and periodontally healthy and systemically healthy group (H) by spitting method. Bacterial genomic DNA was PCR-amplified at the V4 variable region of 16S rRNA gene. The library was constructed according to the obtained sequence results, and biological analysis and statistical analysis were carried out. Functional prediction of three groups of microbial communities was performed by the PICRUSt algorithm.ResultsThere was no significant difference in bacterial diversity between the TC and CP groups. Compared with the H group, the TC group and CP group presented a higher diversity of salivary flora. Firmicutes, Streptococcus, Haemophilus, Veillonella, and Haemophilus parainfluenzae dominated the H group. Corynebacterium, Leptotrichia, Dialister, Comamonas, Capnocytophaga, Catonella, Filifactor, Campylobacter, Treponema, Campylobacter concisus, Prevotella oralis, and Porphyromonas gingivalis were significantly enriched in the TC and CP groups. Among them, Treponema and P. oralis were the most abundant in the TC group. The PICRUSt results showed that many pathways related to cell motility and functional metabolism of the salivary microbial flora changed in the TC group and the CP group.ConclusionsDiabetes was not the main factor causing the altered diversity of salivary microbiota in patients with periodontitis; however, the presence of diabetes altered the abundance of some microbiota in saliva.</p

Image_1_Salivary Microbiome Profile of Diabetes and Periodontitis in a Chinese Population.jpeg

AimThere is a bidirectional association between diabetes and periodontitis. However, the effect of diabetes on the periodontitis salivary microbiota has not been elucidated. The aim of this study was to determine the effect of the presence of diabetes on the microbiota among Chinese patients with periodontitis.Materials and MethodsUnstimulated whole saliva samples were collected from the periodontitis with diabetes group (TC), chronic periodontitis group (CP), and periodontally healthy and systemically healthy group (H) by spitting method. Bacterial genomic DNA was PCR-amplified at the V4 variable region of 16S rRNA gene. The library was constructed according to the obtained sequence results, and biological analysis and statistical analysis were carried out. Functional prediction of three groups of microbial communities was performed by the PICRUSt algorithm.ResultsThere was no significant difference in bacterial diversity between the TC and CP groups. Compared with the H group, the TC group and CP group presented a higher diversity of salivary flora. Firmicutes, Streptococcus, Haemophilus, Veillonella, and Haemophilus parainfluenzae dominated the H group. Corynebacterium, Leptotrichia, Dialister, Comamonas, Capnocytophaga, Catonella, Filifactor, Campylobacter, Treponema, Campylobacter concisus, Prevotella oralis, and Porphyromonas gingivalis were significantly enriched in the TC and CP groups. Among them, Treponema and P. oralis were the most abundant in the TC group. The PICRUSt results showed that many pathways related to cell motility and functional metabolism of the salivary microbial flora changed in the TC group and the CP group.ConclusionsDiabetes was not the main factor causing the altered diversity of salivary microbiota in patients with periodontitis; however, the presence of diabetes altered the abundance of some microbiota in saliva.</p

Additional file 1 of Association of carotid atherosclerotic plaque and intima-media thickness with the monocyte to high-density lipoprotein cholesterol ratio among low-income residents of rural China: a population-based cross-sectional study

Additional file 1: Supplemental Table 1. Associated factors of having carotid plaque in univariate analysis. Supplemental Table 2a. Associated categorical variables of CIMT in univariate liner regression analysis. Supplemental Table 2b. Associated continuous variables of CIMT in univariate liner regression analysis. Supplemental Table 3. Associated factors of CIMT in multivariate liner regression analysis. Supplemental Table 4. Gender difference in univariate logistic regression analysis of CAP influencing factors. Supplemental Table 5. Gender difference in multivariate analysis of CAP influencing factors