Efficacy of cardiopulmonary rehabilitation nursing in enhancing pulmonary function, sleep quality, and living ability in COVID-19 patients.

OBJECTIVE: The purpose of this study was to elucidate the impact of cardiopulmonary rehabilitation nursing on the pulmonary function, sleep quality, and living ability of patients afflicted with Coronavirus Disease 2019 (COVID-19). METHODS: A total of 98 patients with COVID-19 treated at The People's Hospital of Guang'an between September 2021 and January 2023 were retrospectively collected as the research subjects. Among them, 48 patients who received standard nursing care from September 2021 to September 2022 were set as the control group, and 50 patients who underwent cardiopulmonary rehabilitation nursing from October 2022 to January 2023 were set as the research group. The pulmonary function indicators [including Forced Expiratory Volume in 1 second (FEV1) and Left Ventricular Ejection Fraction (LVEF)], sleep quality [evaluated using the Pittsburgh Sleep Quality Index (PSQI)], and living ability [assessed by the 36-Item Short Form Survey (SF-36) scale] pre- and post-intervention were compared between the two groups. RESULTS: Pre-intervention, FEV1, LVEF, PSQI scores, inflammatory factor levels [C-reactive protein (CRP), procalcitonin (PCT)], and SF-36 scores showed no significant differences between the two groups (P>0.05). Post-intervention, the research group exhibited notably enhanced FEV1 and LVEF, lower PSQI scores, lower CRP and PCT, and higher SF-36 scores compared with the control group, with statistical significance (P<0.05). Multifactorial logistic regression analysis showed that non-receipt of cardiopulmonary rehabilitation, age ≥60 years, concurrent respiratory failure, coexistent heart failure, and acid-base imbalance were independent risk factors of adverse outcomes in COVID-19 patients (P<0.05). CONCLUSION: Application of cardiopulmonary rehabilitation nursing in COVID-19 patients can significantly improve pulmonary function, sleep quality, and overall quality of life, and relieve the inflammatory state of the patients, thereby enhancing prognosis. This approach has certain value of popularization and application.

Phylogenomic data exploration with increased sampling provides new insights into the higher-level relationships of butterflies and moths (Lepidoptera).

A robust and stable phylogenetic framework is a fundamental goal of evolutionary biology. As the third largest insect order in the world following Coleoptera and Diptera, Lepidoptera (butterflies and moths) play a central role in almost every terrestrial ecosystem as indicators of environmental change and serve as important models for biologists exploring questions related to ecology and evolutionary biology. However, for such a charismatic insect group, the higher-level phylogenetic relationships among its superfamilies are still poorly resolved. Compared to earlier phylogenomic studies, we increased taxon sampling among Lepidoptera (37 superfamilies and 68 families containing 263 taxa) and acquired a series of large amino-acid datasets from 69,680 to 400,330 for phylogenomic reconstructions. Using these datasets, we explored the effect of different taxon sampling with significant increases in the number of included genes on tree topology by considering a series of systematic errors using maximum-likelihood (ML) and Bayesian inference (BI) methods. Moreover, we also tested the effectiveness in topology robustness among the three ML-based models. The results showed that taxon sampling is an important determinant in tree robustness of accurate lepidopteran phylogenetic estimation. Long-branch attraction (LBA) caused by site-wise heterogeneity is a significant source of bias giving rise to unstable positions of ditrysian groups in phylogenomic reconstruction. Phylogenetic inference showed the most comprehensive framework to reveal the relationships among lepidopteran superfamilies, and presented some newly relationships with strong supports (Papilionoidea was sister to Gelechioidea and Immoidea was sister to Galacticoidea, respectively), but limited by taxon sampling, the relationships within the species-rich and relatively rapid radiation Ditrysia and especially Apoditrysia remain poorly resolved, which need to increase taxon sampling for further phylogenomic reconstruction. The present study demonstrates that taxon sampling is an important determinant for an accurate lepidopteran tree of life and provides some essential insights for future lepidopteran phylogenomic studies.

Computer aided diagnosis of diabetic retinopathy based on multi-view joint learning.

Diabetic retinopathy (DR) is a kind of ocular complication of diabetes, and its degree grade is an essential basis for early diagnosis of patients. Manual diagnosis is a long and expensive process with a specific risk of misdiagnosis. Computer-aided diagnosis can provide more accurate and practical treatment recommendations. In this paper, we propose a multi-view joint learning DR diagnostic model called RT2Net, which integrates the global features of fundus images and the local detailed features of vascular images to reduce the limitations of single fundus image learning. Firstly, the original image is preprocessed using operations such as contrast-limited adaptive histogram equalization, and the vascular structure of the extracted DR image is segmented. Then, the vascular image and fundus image are input into two branch networks of RT2Net for feature extraction, respectively, and the feature fusion module adaptively fuses the feature vectors' output from the branch networks. Finally, the optimized classification model is used to identify the five categories of DR. This paper conducts extensive experiments on the public datasets EyePACS and APTOS 2019 to demonstrate the method's effectiveness. The accuracy of RT2Net on the two datasets reaches 88.2% and 85.4%, and the area under the receiver operating characteristic curve (AUC) is 0.98 and 0.96, respectively. The excellent classification ability of RT2Net for DR can significantly help patients detect and treat lesions early and provide doctors with a more reliable diagnosis basis, which has significant clinical value for diagnosing DR.

Deepm6A-MT: A deep learning-based method for identifying RNA N6-methyladenosine sites in multiple tissues.

N6-methyladenosine (m6A) is the most prevalent, abundant, and conserved internal modification in the eukaryotic messenger RNA (mRNAs) and plays a crucial role in the cellular process. Although more than ten methods were developed for m6A detection over the past decades, there were rooms left to improve the predictive accuracy and the efficiency. In this paper, we proposed an improved method for predicting m6A modification sites, which was based on bi-directional gated recurrent unit (Bi-GRU) and convolutional neural networks (CNN), called Deepm6A-MT. The Deepm6A-MT has two input channels. One is to use an embedding layer followed by the Bi-GRU and then by the CNN, and another is to use one-hot encoding, dinucleotide one-hot encoding, and nucleotide chemical property codes. We trained and evaluated the Deepm6A-MT both by the 5-fold cross-validation and the independent test. The empirical tests showed that the Deepm6A-MT achieved the state of the art performance. In addition, we also conducted the cross-species and the cross-tissues tests to further verify the Deepm6A-MT for effectiveness and efficiency. Finally, for the convenience of academic research, we deployed the Deepm6A-MT to the web server, which is accessed at the URL http://www.biolscience.cn/Deepm6A-MT/.

The fauna of the family Adelidae (Insecta, Lepidoptera, Adeloidea) from China.

Ninety-eight species of the family Adelidae, belonging to three genera in two subfamilies, were recorded and described in China, with illustrations of the adults and their genitalia. Keys to subfamilies, genera and species are also provided. Twenty-four new species are described, nine species are newly recorded from China, and four new combinations are made. Ecological photos and DNA barcodes of some species are provided, and the phylogenetic analysis based on cytochrome c oxidase subunit I (COI) sequences are conducted. The new taxa are as follows: Nemophora pseudalbiantennella Liao, Hirowatari & Huang, sp. nov., N. badagongshana Liao, Hirowatari & Huang, sp. nov., N. longlabiae Liao, Hirowatari & Huang, sp. nov., N. quadrata Liao, Hirowatari & Huang, sp. nov., N. basalistriata Liao, Hirowatari & Huang, sp. nov., N. digitata Liao, Hirowatari & Huang, sp. nov., N. duplicifascia Liao, Hirowatari & Huang, sp. nov., N. hunanensis Liao, Hirowatari & Huang, sp. nov., N. purpurata Liao, Hirowatari & Huang, sp. nov., N. arcuatifasciata Liao, Hirowatari & Huang, sp. nov., N. caeruliantenna Liao, Hirowatari & Huang, sp. nov., N. xizangensis Liao, Hirowatari & Huang, sp. nov., N. caerulea Liao, Hirowatari & Huang, sp. nov., N. songgangensis Liao, Hirowatari & Huang, sp. nov., N. conjugata Liao, Hirowatari & Huang, sp. nov., N. latilobula Liao, Hirowatari & Huang, sp. nov., N. longispina Liao, Hirowatari & Huang, sp. nov., N. ganziensis Liao, Hirowatari & Huang, sp. nov., N. jiajinshana Liao, Hirowatari & Huang, sp. nov., N. litangensis Liao, Hirowatari & Huang, sp. nov., N. tianpingshana Liao, Hirowatari & Huang, sp. nov., N. triangulifascia Liao, Hirowatari & Huang, sp. nov., N. yajiagengensis Liao, Hirowatari & Huang, sp. nov., and N. bispina Liao, Hirowatari & Huang, sp. nov. The newly recorded taxa from China are: Nematopogon distinctus Yasuda, 1957, Adela nobilis Christoph, 1882, A. praepilosa Hirowatari, 1997, Nemophora albiantennella Issiki, 1930, N. chionites (Meyrick, 1907), N. smaragdaspis (Meyrick, 1924), N. trimetrella Stringer, 1930, N. optima (Butler, 1878), and N. bifasciatella Issikii, 1930. The new combinations are N. servata (Meyrick, 1925) com. nov., N. diplophragma (Meyrick, 1938) com. nov., N. chionella (Caradja, 1935) com. nov., and N. chrysocharis (Caradja, 1938) com. nov.

Field investigation of a mumps outbreak and evaluation of vaccine effectiveness in a remote village school / 中国学校卫生

Objective@#To investigate the outbreak of mumps in a remote village school of Zhaoqing City, to evaluate and vaccine effectiveness ( VE ) of mumps containing vaccine (MuCV), so as to provide reference for the formulation of epidemic prevention and control strategies.@*Methods@#Through on site case investigations and interviews, case data and epidemic related epidemiological information were obtained. Descriptive and retrospective cohort studies were used to analyze the epidemic characteristics, explore risk factors, and evaluate the protective effect of vaccines.@*Results@#Totally 166 cases of mumps were found, and all of them were students. The total attack rate was 7.79% and the outbreak lasted for 60 days. The first case occurred on October 11th and the last case occurred on December 9th in 2018. Most of the cases aged from 10 to 13 years old, accounting for 66.27%. There were 96 male patients and 70 female patients, with no statistically significant sex difference in the incidence rate ( χ 2=2.40, P >0.05). Involving 28 classes, 11 of which had an incidence rate more than 10%, mainly distributed in grades 2, 4 and 6. There were statistically significant differences in incidence rates among different grades ( χ 2=96.89, P <0.01) and different floors ( χ 2=67.35, P < 0.01 ), with the third floor higher than the other floors. Twelve out of 58 boarding pupils were cases, and boarding pupils were 1.89 times higher in risk of contracting mumps than day students ( RR=1.89, 95%CI =1.10-3.23). Pupils without being given the shot of MuCV were higher in the infection rate than those having the shot ( χ 2=5.70, P <0.05), and the VE % was 35% (95% CI = 7%- 55%). The VE % of one dose was 34% (4%-54%), while the effectiveness of protection was declined with time ( χ 2 trend =6.53, P < 0.05). The effectiveness of vaccine almost diasappeared six years after the shot ( χ 2=1.12, P >0.05).@*Conclusion@#Delayed case report and isolation, low rate of receiving MuCV, and decreasing effectiveness of one shot MuCV are closely assocaited with the outbreak and ongoing spread of the epidemic.