bluuebunny/crossref_metadata_2025_split huggingface dataset:
Are COVID-19 systematic reviews up to date and can we tell? A cross-sectional study
Authors: McDonald Steve , Turner Simon L , Nguyen Phi-Yen , Page Matthew J , Turner Tari 
Published: July 2022

Abstract
BackgroundCOVID-19 led to a rapid acceleration in the number of systematic reviews. Readers need to know how up to date evidence is when selecting reviews to inform decisions. This cross-sectional study aimed to evaluate how easily the currency of COVID-19 systematic reviews published early in the pandemic could be determined and how up to date these reviews were at the time of publication.MethodsWe searched for systematic reviews and meta-analyses relevant to COVID-19 added to PubMed in July 2020 and January 2021, including any that were first published as preprints. We extracted data on the date of search, number of included studies, and date first published online. For the search date, we noted the format of the date and where in the review this was reported. A sample of non-COVID-19 systematic reviews from November 2020 served as a comparator.ResultsWe identified 246 systematic reviews on COVID-19. In the abstract of these reviews, around half (48%) reported the complete search date (day/month/year) and 43% failed to report any date. In the full text, the complete date and no date were reported in 82% and 6% of reviews, respectively. The median time from last search to publication online was 91 days (IQR 63–130). Time from search to publication was similar for the subset of 15 rapid or living reviews (92 days) but shorter for the 29 reviews published as preprints (37 days). The median number of studies or publications included per review was 23 (IQR 12–40). In the sample of 290 non-COVID SRs, around a quarter (27%) reported the complete search date and a third (34%) did not include any date in the abstract. The median time from search to publication online was 253 days (IQR 153–381) and each review included a median of 12 studies (IQR 8–21).ConclusionsDespite the context of the pandemic and the need to easily ascertain the currency of systematic reviews, reporting of the search date information for COVID-19 reviews was suboptimal. Reviews were conducted and published more quickly than non-COVID reviews but potentially at the expense of adequate reporting.
Association between Superoxide Dismutase, C-Reactive Protein, Fibrinogen and Heart Failure in Patients with Diabetes and Acute Coronary Syndrome
Authors: Jiang Xiu-Yun , Chen Qing , Chen Xiao-Yu , Sun Qiu-Ying , Jing Fei , Zhang Hai-Qing , Xu Jin , Li Xiao-Hong , Guan Qing-Bo 
Published: July 2022

Abstract
Background: Superoxide dismutase (SOD) and inflammatory markers are reported to have association with cardiovascular disease. However, no previous study has assessed the value of SOD and inflammatory markers as predictive indicator of heart failure in patients with diabetes and acute coronary syndrome (ACS) in the same study. Objective: The objective of this study is to compare the predictive implications of SOD activity, C-reactive protein (CRP) and fibrinogen for reduced left ventricular ejection fraction (LVEF) in patients with diabetes and ACS. Method: The study included 2377 inpatients with type 2 diabetes who had an ACS admitted to the Shandong Provincial Hospital affiliated to Shandong First Medical University from January 2016 to January 2021. Result: Despite taking the lowest quartile as reference (OR 0.368, 95% CI 0.493–0.825, P = 0.001) or examining 1 normalized unit increase (OR 0.651, 95% CI 0.482–0.880, P = 0.005), the SOD activity was exhibited to be the strongest predictive indicator of reduced LVEF, independent of confounding factors. The SOD activity showed the most powerful predictor value for reduced LVEF with the highest area under the receiver operating characteristic curve of 0.658. Conclusions: SOD activity is a stronger predictor of reduced LVEF than CRP and fibrinogen in patients with diabetes and ACS.
Biomimetic combination of photoactivation and relay catalysis for an asymmetric cascade reaction
Authors: Xiao Wen-Jing , Liu Dan , Zhang Zhihan , Wang Ze-Tian , Wang Liang , Xie Ming-Sheng , Guo Hai-Ming , Lu Liang-Qiu 
Published: July 2022

Abstract
Asymmetric ketene cycloaddition is a powerful tool for chiral heterocycle synthesis, stimulating the development of innovative catalytic strategies to achieve a high level of efficiency and stereocontrol. Herein, we disclose an asymmetric cascade reaction between enynamides and α-diazoketones inspired by natural photosynthesis. The biomimic combination of visible-light photoactivation and relay gold and N-oxide catalysis allowed the facile generation and controlled assembly of two reactive intermediates, ketene and aza-o-quinone methide. This produced chiral bicyclic lactams bearing chiral all-carbon quaternary stereocenters with high efficiency and selectivity. Density functional theory calculations revealed a stepwise [4+2] cycloaddition mechanism, with the stereochemistry controlled by the amide group of the catalyst. Notably, this study presents the first example of chiral N-oxides as catalysts for asymmetric ketene cycloaddition, and demonstrates that a biomimetic cascade strategy is a promising approach to access important chiral heterocyclic scaffolds.
Study on landscape pattern of Hegang City based on ANN-CA-Markov model
Authors: Ding Yunhe , Mao Liang , Jia Jingmo , Gui Xinru 
Published: July 2022

Abstract
The research purpose of this paper is to grasp the changing characteristics of the landscape pattern in Hegang City, Heilongjiang Province, which can provide a scientific basis for formulating food security and ecological security policies. Hegang City was selected as the research area, based on its Landsat remote sensing images and DEM data in 2000, 2010 and 2020, Fragstats 4.0 software was used, and the Ann-CA-Markov coupling model was used to study the city's 2000–2020 period. Changes in the landscape pattern, and simulate and predict the landscape pattern in 2030. The results show that during the period from 2000 to 2020 in Hegang City, the area of cultivated land decreased by 197.9824 km2, the area of forest decreased by 52.7252 km2, the area of grassland decreased by 29.28 km2, the area of wetland increased by 217.27 km2, the area of water body increased by 33.99 km2, and the surface area of artificial land increased by 28.41 km2; simulation prediction The land use situation in 2030 is that the area of cultivated land is expected to increase by 1.0368 km2, the area of forest is expected to decrease by 0.0648 km2, the area of grassland is expected to decrease by 0.0972 km2, the area of wetlands will increase by 14.6448 km2, the area of water bodies will increase by 3.1317 km2, and the surface area of artificial land will decrease by 21.6513 km2; and the related landscapes are calculated. pattern index. The final conclusion is that the degree of fragmentation of agricultural and forestry land in Hegang City is relatively low, but it is subject to strong external interference. The landscape pattern should be further optimized and adjusted to continuously reduce the impact on the ecological environment and ensure food and ecological security.
Effect of the state of interlayer boundaries on the magnetoresistive properties of layered Co/Cu nanostructures
Authors: Chuprakov S. A. , Bannikova N. S. , Blinov I. V. , Milyaev M. A. , Ogloblichev V. V. , Popov V. V. , Ustinov V. V. 
Published: July 2022

Abstract
The influence of the state of interfaces on the magnetoresistive properties of Co/Cu superlattices has been studied by the methods of nuclear magnetic resonance (NMR) and X-ray reflectometry. It has been found that the magnetron-sputtered superlattices with the highest value of the giant magnetoresistance (GMR) effect have the largest fraction of highly perfect Co/Cu interlayer boundaries, as well as practically the smallest fraction of cobalt atoms localized in the interfaces.
Mitochondria-mediated Apoptosis and Endoplasmic Reticulum Stress are Involved in the Toxicity Induced by Copper in Porcine Spleen
Authors: Zhang Kai , Liao Jianzhao , Hu Zhuoying , Li Quanwei , Hu Lianmei , Guo Jianying , Li Ying , Zhang Hui , Pan Jiaqing , Tang Zhaoxin 
Published: July 2022

Abstract
Copper (Cu) is one of the common heavy metal pollutants in the environment, and its toxic mechanisms have been extensively studied. However, the immunotoxicity induced by Cu remains rarely reported, and the effects of Cu on endoplasmic reticulum stress and mitochondria-mediated apoptosis have been little studied in spleen. In this study, pigs were fed with different contents of Cu (10, 125 and 250 mg/kg Cu) for 80 d to establish a toxicity model. The results showed the Cu exposure triggered endoplasmic reticulum stress in the spleen, as evidenced by increased mRNA and protein levels of GRP94, GRP78, CHOP, XBP1, ATF6, and JNK, the positive rate of GRP78 increased by immunofluorescence analysis. Additionally, mitochondrial fission and fusion homeostasis were disrupted, the expression levels of mitochondrial dynamics related genes Mfn1, Mfn2, and OPA1 decreased, DRP1 increased, and the positive rate of Mfn1 decreased by immunofluorescence analysis. Furthermore, Cu exposure could induce apoptosis, as demonstrated by increased the expression level of related protein and gene Bak, Bax, Caspase-3, P53, and Cytc decreased. In conclusion, these results suggest chronic Cu exposure can lead to endoplasmic reticulum stress and imbalance in mitochondrial dynamics, induced apoptosis of pig spleen, provided new insights into the underlying mechanism of Cu exposure caused splenic toxicity, which has public health implications where humans and animals are exposed to copper contamination.
Quantitative and qualitative study of fetal posterior fossa during the first trimester in a Chinese population
Authors: Feng Li , Sun Lijuan , Wang Jingjing , Sun Congxin , Lu Lijuan , Zhang Zhikun , Hu Yu , Wu Qingqing 
Published: July 2022

Abstract
Background
To establish the normal reference ranges for parameters related to the fetal posterior fossa in the first trimester (11 ~ 13+ 6 weeks of gestation) and to analyze the relationship between them and crown-rump length (CRL) among the Chinese population.
Methods
Singleton pregnancies of 11 ~ 13+ 6 weeks (CRL:45–84 mm) with both parents from China were randomly selected from January 2021 to November 2021. The related parameters of the posterior fossa including cisterna magna (CM), intracranial translucency (IT), brain stem (BS), brain stem to the occipital bone (BSOB), and brain stem/brain stem to occipital bone (BS/BSOB) were measured in nuchal translucency (NT) median sagittal section clearly showing the fetal posterior fossa structure. 50 pregnant women of them were randomly selected to have the relevant values measured once again while another measurement was taken by a senior physician.
Results
This study included 1663 fetuses. The ICC (95% CI) of intra-operator reproducibility of CM, IT, BS, BSOB, BS/BSOB were 0.981 (0.952 ~ 0.991, P < 0.001), 0.929 (0.866 ~ 0.961, P < 0.001), 0.970 (0.946 ~ 0.983, P < 0.001), 0.991 (0.974 ~ 0.996, P < 0.001), 0.939 (0.892 ~ 0.965, P < 0.001), respectively; The ICC (95% CI) of inter-operator reproducibility 0.926 (0.860 ~ 0.960, P < 0.001), 0.810 (-0.083 ~ 0.940, P < 0.001), 0.820 (0.645 ~ 0.904, P < 0.001), 0.804 (0.656 ~ 0.888, P < 0.001), 0.772 (0.599 ~ 0.871, P < 0.001), respectively. There was a linear correlation between CRL and the parameters related to the posterior fossa (CM, IT, BS, BSOB, BS/BSOB). CM (mm) =-1.698 + 0.532 × CRL (cm) (r = 0.829, P < 0.001); IT (mm) = 0.701 + 0.179 × CRL (cm) (r = 0.548, P < 0.001); BS (mm) = 0.403 + 0.349 × CRL (cm) (r = 0.716, P < 0.001); BSOB (mm) = -0.277 + 0.719 × CRL (cm) (r = 0.829, P < 0.001); BS/BSOB = 0.747 − 0.021 × CRL (cm) (r = 0.196, P < 0.001).
Conclusions
It was feasible to observe fetal posterior fossa structures in the first trimester. We constructed normal reference ranges of CM, IT, BS, BSOB, and BS/BSOB. Furthermore, CM, IT, BS, and BSOB were all positively correlated with CRL, but BS/BSOB was negatively correlated with CRL.
Meta-analysis of RNA-Seq datasets highlights novel genes/pathways involved in fat deposition in fat-tail of sheep
Authors: Hosseini Seyedeh Fatemeh , Bakhtiarizadeh Mohammad Reza , Salehi Abdolreza 
Published: July 2022

Abstract
Fat-tail in sheep is considered as an important energy reservoir to provide energy as a survival buffer during harsh challenges. However, fat-tail is losing its importance in modern sheep industry systems and thin-tailed breeds are more desirable. Using comparative transcriptome analysis to compare fat-tail tissue between fat- and thin-tailed sheep breeds provides a valuable approach to study the complex genetic factors associated with fat-tail development. However, Transcriptomic studies often suffer from issues with reproducibility, which can be improved by integrating multiple studies based on a meta-analysis. Hence, for the first time, an RNA-Seq meta-analysis on sheep fat-tail transcriptomes was performed using six publicly available datasets. A total of 500 genes (221 up-regulated, 279 down-regulated) were identified as differentially expressed genes (DEGs). A jackknife sensitivity analysis confirmed the robustness of the DEGs. Moreover, QTL and functional enrichment analysis reinforced the importance of the DEGs in the underlying molecular mechanisms of fat deposition. Protein-protein interactions (PPIs) network analysis revealed the functional interactions among the DEGs and the subsequent sub-network analysis led to identify six functional sub-networks. According to the results of the network analysis, down-regulated DEGs in green and pink sub-networks (like collagen subunits IV, V and VI, integrins 1 and 2, SCD, SCD5, ELOVL6, ACLY, SLC27A2 and LPIN1) may impair lipolysis or fatty acid oxidation and cause fat accumulation in tail. On the other hand, up-regulated DEGs, especially those are presented in green and pink sub-networks (like IL6, RBP4, LEPR, PAI-1, EPHX1, HSD11B1, and FMO2), might contribute to a network controlling fat accumulation in the tail of sheep breed through mediating adipogenesis and fatty acid biosynthesis. Our results highlighted a set of known and novel genes/pathways associated with fat-tail development, which could improve the understanding of molecular mechanisms behind fat deposition in sheep fat-tail.
HybridMSSN: A Deep Learning Hyperspectral Image Classification Model
Authors: LADI SANDEEP KUMAR , PANDA G K , DASH RATNAKAR , LADI PRADEEP KUMAR 
Published: July 2022

Abstract
With the goal of obtaining accuracy and optimum computation, Hyperspectral image (HI) classification models have been developed for best use in a variety of applications. Because HI contains a lot of spatial and spectral information, classification using merely a Convolutional Neural Network (CNN) isn't always enough. This paper solves these concerns by proposing a new Hybrid Multi-Scale Spinal Net (HybridMSSN). The HI is subjected to Principal Component Analysis (PCA) in order to isolate the most useful spectral bands and eliminate the superfluous ones. For feature learning and classification, the model uses multiscale CNNs and a Spinal Fully Connected Network (SFCN). Three 3D-CNNs are used to extract spectral and spatial features from the 3-dimensional HI, followed by a 2D-CNN for spatial feature learning. The model uses SFCNs to optimize computation, reducing the number of multiplications in the activation function of neural networks and resulting in a faster response. The multi-scale features acquired from the different 3D Convolution layers are flattened and transferred to independent SFCNs after Max Pooling, Dropout, and Batch Normalization. Similarly, features collected from the 2D convolution layer and Dropout are flattened and supplied to the SFCN. For categorization, the SFCNs' outputs are combined. Despite limited training samples, the existence of noise, and an imbalance of class concerns, investigations conducted on three standard datasets revealed significant accuracy gains when compared to four state-of-the-art models.
Assessing Tropospheric Correction Models for InSAR Used to Monitor Ground Deformation: A Case Study in Zhejiang Province, China
Authors: yu yang , Li Qingfang , Sun Hongyue , Zhan Wei , Lü Qing , Xue Boyang 
Published: July 2022

Abstract
Interferometric Synthetic Aperture Radar (InSAR) is a powerful and cost-effective technology to monitor ground deformation. Its accuracy is highly influenced by the atmospheric characteristic of the monitoring area. Separating the true ground deformation from atmospheric signals remains one of the major challenges in the application of InSAR. In this paper, the phase-based linear model, high spatial-resolution weather model (MERRA-2 and GACOS) and combination of MERRA-2 and phase-based linear model selected, and their performances in reducing the Tropospheric delay are assessed based on detrending standard deviation (DStd) of all Persistent Scattered (PS) points. A framework for the assessment is proposed and applied to a selected region of Shaoxing, Zhejiang Province, China. 26 Sentinel-1A images are used and processed by the method of PS-InSAR. It is found that the phase-based linear model outperforms the other models by at least 6.6% if the whole monitoring time span of the SAR images in the study area are considered. The proper tropospheric correction model in different seasons is not the same. The phase-based linear model is robust against the variations of atmospheric characteristics of the four seasons.
Lugol’s solution reduces positive resection margins and residual disease after the loop electrosurgical excision procedure
Authors: Kim Min-Jeong , Lee Eun Ji , Lee Seungmee , Chay Doo Byung , Lee Chae Hyeong , Roh Ju-Won , Kim Jae-Hoon 
Published: July 2022

Abstract
Background: The gold standard of treatment for cervical intraepithelial neoplasia (CIN) is cervical conization. There remains a concern regarding the residual disease if resection is incomplete. However, few studies have so far examined the methods to improve the complete resection of the entire lesion with LEEP, eg, applying Lugol’s solution during LEEP. We examined whether the use of Lugol’s solution reduces the proportion of positive resection margins after the loop electrosurgical excision procedure (LEEP). Methods: A total of 1,751 consecutive women with cervical intraepithelial neoplasia (CIN) who underwent LEEP at three university hospitals were retrospectively retrieved from the database. Outcomes included positive resection margins and residual disease pathologically confirmed within 6 months after LEEP. Results: Positive resection margins were noted in 345 (19.7%) cases. Among 1,507 women followed up, residual disease was diagnosed in 100 (6.6%) cases (69/308 cases with positive margins; 31/1,199 cases with negative margins). The Lugol’s solution group was less likely to have positive resection margins (11.8% vs. 25.5%; P < 0.01), to require additional surgical intervention (5.4% vs. 10.2%; P < 0.01), and to have residual disease (4.9% vs. 8.0%; P = 0.02). A multiple logistic regression analysis demonstrated that Lugol’s solution reduced the proportion of positive resection margins (adjusted odds ratio [aOR], 0.31), and that age 50 years or older (aOR, 1.64), pre-conization cervical cytology (aOR, 1.53), high-risk HPV (aOR 1.75), and CIN 2–3 (aOR, 2.65) were independent risk factors for margin positivity (P < 0.01 for all except high-risk HPV). Conclusions: Lugol’s solution optimizes CIN treatment by reducing the proportion of positive resection margins and residual disease after LEEP.
Antioxidation activity of molecular hydrogen via protoheme catalysis in vivo; an insight from ab initio calculations
Authors: Kim Song-Ae , Jong Yu-Chol , Kang Myong-Su , Yu Chol-Jun 
Published: July 2022

Abstract
Recently molecular hydrogen has been found to exhibit antioxidation activity through many clinical experiments, but the mechanism has not been fully understandable at atomic level. In this work, we perform systematic ab initio calculations of protoheme-hydrogen complexes to clarify the antioxidation mechanism of molecular hydrogen. We make molecular modeling of iron--protoporphyrin coordinated by imidazole, FeP(Im), and its hydrogen as well as dihydrogen complexes, together with reactive oxygen/nitrogen species (RONS). We carry out structural optimization and Mulliken charge analysis, revealing the two kinds of bonding characteristics between FeP(Im) and H 2 ; dihydrogen bonding in the end-on asymmetric configuration and Kubas bonding in the side-on symmetric configuration of H 2 molecule. The activation barriers for adsorption and dissociation of H 2 on and further desorption of H atom from FeP(Im) are found to be below 64 kcal/mol at most, which is remarkably lower than the H-H bond breaking energy of 107 kcal/mol in free H 2 molecule. We find that the hydrogen bond dissociation energies of FeP(Im)-H 2 and -H complexes are lower than those of RONS-H complexes, indicating the decisive role of protoheme as an effective catalyst in RONS antioxidation by molecular hydrogen in vivo.
Education level as a predictor of the onset of health problems among China’s middle-aged population: a Cox proportional hazards regression analysis
Authors: Ping Ruru , Oshio Takashi 
Published: July 2022

Abstract
Background: Despite the importance of midlife with reference to one’s health, educational inequalities in midlife health have attracted little attention in China. Using Cox proportional hazards regression analysis, this study examined this issue and investigated the potential mediating effects of socioeconomic position (SEP) other than educational attainment, stress level, and health behavior. Methods: Data were extracted from the China Health and Retirement Longitudinal Survey (CHALRS) from 2011 (baseline) to 2018 (latest data). Participants aged 45-59 years at baseline were studied (N = 8050). Health outcomes included the onset of poor self-rated health (SRH), limitation in activities of daily living (ADL) and instrumental ADL (IADL), multimorbidity, hypertension, dyslipidemia, heart diseases, and stroke over the 7-year follow-up period. Cox proportional hazard models were used to examine the associations of the outcomes with educational attainment, while controlling for potential mediators (other SEP, stress level, and health behaviors). The relative index of inequality (RII) was used to measure educational inequality.Results: Lower educational level was associated with increased incidences of poor SRH and ADL/IADL limitations, but with decreased incidences of dyslipidemia and heart disease. After adjusting for baseline covariates, the RII was 2.02 (95% confidence interval [CI]: 1.61, 2.53) for poor SRH, 2.16 (95% CI: 1.41, 3.29) for ADL limitation, 3.55 (95% CI: 2.73, 4.51) for IADL limitation, 0.54 (95% CI: 0.41, 0.71) for dyslipidemia, and 0.57 (95% CI: 0.42, 0.72) for heart disease. Minimal to moderate proportions (0.0 to 31.0%) of the RII were explained by the mediators. No sex or urban-rural differences were found in this study.Conclusion: Our findings suggest that educational attainment is an important predictor of the incidences of key midlife health problems, with limited mediating effects exerted by other indicators of SEP, stress, and health behavior.