bluuebunny/crossref_metadata_2025_split huggingface dataset:
Molecular mechanism of m6A methylation of circDCL1 mediated by RNA methyltransferase METTL3 in the malignant proliferation of glioma cells
Authors: Wu Quansheng , Yin Xiaofeng , Zhao Wenbo , Xu Wenli , Chen Laizhao 
Published: January 2022

Abstract
Glioma is an intracranial malignant tumor and remains largely incurable. circular RNAs are prominent modulators in glioma progression. This study investigated the function of circular RNA DLC1 (circDCL1) in the malignant proliferation of glioma cells. circDCL1 expression in glioma tissues and cells was determined using RT-qPCR. The effect of circDCL1 on the malignant proliferation of glioma cells was analyzed using CCK-8, colony formation, and EdU staining assays. METTL3, miR-671-5p, and CTNNBIP1 expressions were determined. N6 methyladenosine (m6A) level of circDCL1 was analyzed using MeRIP. The binding relationship between miR-671-5p and circDCL1 or CTNNBIP1 was verified using RNA pull-down and dual-luciferase assays. A xenograft tumor model was established in nude mice to verify the effect of METTL3-mediated circDCL1 on glioma in vivo. circDCL1 was poorly expressed in glioma. circDCL1 overexpression suppressed glioma cell proliferation, while circDCL1 silencing showed an opposite trend. Mechanically, METTL3-mediated m6A modification enhanced circDCL1 stability and upregulated circDCL1 expression in glioma. circDCL1 upregulated CTNNBIP1 transcription by competitively binding to miR-671-5p. METTL3 overexpression repressed the malignant proliferation of glioma via circDCL1/miR-671-5p/CTNNBIP1 in vivo. Collectively, METTL3-mediated m6A modification upregulated circDCL1 expression, and circDCL1 promoted CTNNBIP1 transcription by sponging miR-671-5p, thus repressing the malignant proliferation of glioma.
Trends and Focuses of Hantavirus Researches: a Global Bibliometric Analysis and Visualization From 1980 to 2020
Authors: Liu Kun , Wei Xiao , Li Xinlou , Song Shuxuan , Wen Xiaohui , Jin Tiezhi , Zhao Chenxi , Wu Xubin , Shao Zhongjun 
Published: January 2022

Abstract
Background: There have been worldwide changes in the researches on Hantaviruses in the past several decades. Nevertheless, there are few bibliometric analysis studies this field. We aim to evaluate and visualize the research focuses and trends of this field using a bibliometric analysis way to help understand the developmet and future hotspots of this field.Material and Methods: Publications related to Hantavirus studies were culled from the Web of Science Core Collection to generate trend analysis. The articles and reviews were re-extracted and Countries, institutions, authors, references and keywords in this field were visually analyzed by using VOSviewer and CiteSpace.Results: A total of 4408 studies were included and the number of publications regarding Hantaviruses significantly increased yearly. 3716 research articles and reviews were retrieved to generate bibliometric analysis. These studies mainly come from 125 countries led by USA and China and 3312 institutions led by the University of Helsinki. 12529 authors were identified and Vaheri A were the most influential author. Journal of Virology was the journal with the most studies and citations. After analysis, Hemorrhagic fever with renal syndrome , Hantavirus cardiopulmonary syndrome, nephropathia epidemica and related genotypes, clinical symptoms and rodents were the most common keywords and developing areas.Conclusion: Research on Hantavirus is flourishing. Cooperation among different countries and institutions in this field must be strengthened in the future. The ecology and clinical symptoms of new genotypes, the vaccine development and factors that affect host population distribution and density are current and developing areas of study.
Improve Our Understanding on the Effect of Lead Time Forecasting in Wrf Over Northern – Cameroon Region.
Authors: Samuel Kaissassou , Komkoua Armand , Igri Pascal , Tanessong Romeo , Embolo Guy , Melingui Achille , Rigong Honore 
Published: January 2022

Abstract
A Weather Research and Forecasting (WRF) model at a horizontal resolution of 12 km has been analysed for the month of July 2018 over the North region of Cameroon. For the first time, a high-resolution WRF version 3.7 is being run operationally over this part of the country for wet weather forecast. In such a study, detailed validation of the WRF model is crucial. Therefore, the validation of mean parameters including wind distribution, relative humidity and rainfall, over the entire region within all the forecast lead time, is essential. Validation is done by comparing WRF outputs to ERA5, ARC2 and observed upper air data. It is found that the model captures accurately relative humidity and low level wind events with sufficiently shorter lead times (3 days), while the same performance is observed for extreme precipitable water and rainfall but at longer lead time as well as the diurnal variability of these parameters associated with wet season at all lead times. Furthermore, the accuracy of WRF in predicting spatiotemporal changes of some atmospheric variables decreases with increase in lead time.
Daily Model of Xco2 Based on Orbital Observations for the State of São Paulo – Brazil
Authors: Costa Luis Miguel Da , Santos Gustavo André de Araújo , Panosso Alan Rodrigo , Rolim Glauco de Souza , Scala Newton La 
Published: January 2022

Abstract
Background: Understanding the behavior of carbon dioxide (CO2) it is crucial to create strategies to deal with climate change. Several space missions were designed to monitor this and other greenhouse gases and studies at global and large regional scales were developed using these remote sensing tools. However, there is still a time gap in orbital data, since the revisit time of a satellite at the same location for this type of observation is not daily. Daily measurements of CO2 can be made using Eddy Covariance technique, although this type of study is at a very local scale. In this study, we aimed to build a daily model to estimate the natural CO2 in the atmosphere.Results: The data was retrieved from the Orbiting Carbon Observatory-2 (OCO-2), NASA-POWER and, Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) and consist in a time-series from 2015 to 2019. To summarize the most relevant factor we used the Variance Inflation Factor (VIF) after we performed the Pearson’s Correlation and apply descriptive statistics in the significant variables (p < 0.05). The model was construed using the stepwise regression method and the selected model was defined by the lowest RMSE in training (~0.6 ppm). The most related variables with Xco2 were Global Radiation (Qg), Sun Induced Chlorophyll Fluorescence (SIF) and, Relative Humidity (RH), all these factors were negatively correlated with the CO2 concentration. The model has the best perform with the Qg and RH (RMSE = 0.47 ppm, R2 = 0.44, p < 0.01).Conclusion: In summary, the cycle of atmospheric CO2 in the state of São Paulo has higher average values during April to October, and the lowest averages of Xco2 were usually observed between December to March and the inverse behavior was observed for SIF 757, Global Radiation (Qg) and Relative Humidity (RH). Concerning the daily model, despite the differences between the spatial observations, the model derived here was capable to estimate the cycle of atmospheric CO2 using only meteorological data.
Runoff and Sediment Yield Modeling Using Arc SWAT -A Case of Meki River Watershed
Authors: Barso Genemo , Negasa Tesfaye 
Published: January 2022

Abstract
The objective of this study was to model the runoff and sediment yield to control soil erosion and sedimentation problems of the Meki River Watershed. The main materials and methodology were Arc GIS, Arc SWAT, Rainbow, excel stat, data collection, data preparation and quality assurance, data analysis and model setup, running model, model performance evaluation and model result interpretation. Simulation of the stream flow of Meki River watershed for the period from 1993 – 2010 and sediment yield was computed by developing sediment rating curve. The main results of stream flow calibration and validation are; coefficient of determination (R²) = 0.81, Nash – Sutcliffe model efficiency (NSE) = 0.76, percent bias (Pbias) = 18 and coefficient of determination (R²) = 0.81, Nash – Sutcliffe model efficiency (NSE) = 0.74, percent bias (Pbias) =17.1. As a result of the study, the total annual runoff and sediment yield were determined as 367.95mm and 75.896 ton/ha/yr. respectively.
Nucleophosmin3 Carried by Small Extracellular Vesicles Contribute to White Adipose Tissue Browning
Authors: Zhang Yan , Yu Mei , Dong Jia , Wu Yue , Tian Weidong 
Published: January 2022

Abstract
Background
Browning of white adipose tissue (WAT) is a particularly appealing target for therapeutics in the treatment of obesity and related metabolic diseases. Although small extracellular vesicles (sEVs) released from adipose tissue (sEVs-AT) have emerged as novel player that regulate systemic metabolism by connecting different organs, the role of specific contents in sEVs–AT played in WAT browning has not been clarified.
Results
We revealed Nucleophosmin3 (NPM3), which was mainly transferred by sEVs derived from brown adipose tissue (sEVs-BAT), was served as a batokine that could induce WAT browning by regulating the stability of PRDM16 mRNA. sEVs-BAT enhanced the expressions of browning related genes in 3T3-L1 preadipocytes and WAT while knocking down of NPM3 in BAT impaired sEVs-BAT mediated WAT browning and weight loss in obesity.
Conclusion
These data provided new insight into the role of NPM3 in regulating the browning of WAT. Our study indicated that a supplement of sEVs-BAT might represent a promising therapeutic strategy to promote thermogenesis and energy expenditure in the future.
EV-A71 Induced IL-1Beta Production in THP-1 Macrophages is Dependent on NLRP3, RIG-I, and TLR3
Authors: Huang Hsing-I , Chio Chi-Chong , Lin Jhao-Yin , Chou Chia-Jung , Lin Chia-Chen , Yu Liang-Sheng 
Published: January 2022

Abstract
Enterovirus A71 (EV-A71) is an emerging enterovirus that can cause neurological complications in young children. The severity of EV71 infection is correlated with the production of cytokines, including IL-6 and IL-1b. Macrophages are specialized immune cells that have been deemed the major cell source for IL-1b. The production of IL-1b is a result of inflammasome activation, an innate immune response that involves the assembly of multiple proteins. However, the mechanisms by which EV-A71 activates inflammasomes are not fully understood. Here, we confirmed that THP-1 macrophages permissive EV-A71 replication. EV-A71 infection is sufficient to trigger IL-1b production in macrophages. Knockdown of NLRP3, RIG-I and TLR3 in macrophages suppressed IL-1b secretion. Moreover, caspase-1 and caspase-8 activation are involved in IL-1b production. In summary, this study showed that NLRP3 and the RNA sensors TLR3 and RIG-I are implicated in EV-A71-induced inflammasome activation in macrophages to facilitate IL-1b production via activated caspase-1 and caspase-8.
Assessment of Coriandrum Sativum L., Trigonella Foenum Graecum L., Pimpinella Anisum L., and Their Combinations Effect on Growth Performance, Carcass Trait and Hematobiochemical Parameters in Broiler Chicken
Authors: Samira MERADI , MESSAÏ Ahmed 
Published: January 2022

Abstract
This study has been designed to examine the effects of three phytogenic feed additives (PHT) on certain zootechnical and hematobiochemical parameters in broiler chicken. The PHT were formulated from Coriandrum sativum L., Trigonella foenum-graecum L., and Pimpinella anisum L. 360 one-day-old Cobb broilers were randomly divided into 4 dietary treatment groups; a control group (CTLG), and three groups fed a basal diet supplemented respectively with 3% of Coriander (PHT1G), 3% of a combination 50% Coriander- 50% Fenugreek (PHT2G), and finally 3% of a combination 50% Coriander- 50% Anise (PHT3G). The results showed that the birds of PHT3 group realized the highest live body and internal organs weight. However, the weight of the abdominal fat was not affected. Broilers in the same group had a significantly (P <0.05) higher lymphocyte level 120.103 /µl, followed by PHT2 group with 80.103 /µl. The level of monocytes in PHT2 and PHT3 groups was respectively 66.103 /µl and 60.103 /µl. Concerning the granulocytes, we noted 200.103 /µl in PHT2 group and 102.103 /µl in PHT3G. A significant difference (P <0.05) was recorded in the uric acid levels with 50.4mg/l, 59.84mg/l, and 47.29mg/l respectively for PHT1G, PHT2G, and PHT3G groups. Levels of the uric acid were lower than the level recorded in the control group (84.36mg/l). The use of the phytogenic feed additives we formulated may have a positive effect both on weight gain and hematobiochemical parameters in broiler chicken, especially the levels of different types of white blood cells, and the uric acid rate.
Forecasting admissions in psychiatric hospitals before and during Covid-19: a retrospective study with routine data
Authors: Wolff Jan , Klimke Ansgar , Marschollek Michael , Kacprowski Tim 
Published: January 2022

Abstract
Background
The COVID-19 pandemic has strong effects on most health care systems. Forecasting of admissions can help for the efficient organisation of hospital care. We aimed to forecast the number of admissions to psychiatric hospitals before and during the COVID-19 pandemic and we compared the performance of machine learning models and time series models. This would eventually allow to support timely resource allocation for optimal treatment of patients.
Methods
We used admission data from 9 psychiatric hospitals in Germany between 2017 and 2020. We compared machine learning models with time series models in weekly, monthly and yearly forecasting before and during the COVID-19 pandemic.
Results
A total of 90,686 admissions were analysed. The models explained up to 90% of variance in hospital admissions in 2019 and 75% in 2020 with the effects of the COVID-19 pandemic. The best models substantially outperformed a one-step seasonal naïve forecast (seasonal mean absolute scaled error (sMASE) 2019: 0.59, 2020: 0.76). The best model in 2019 was a machine learning model (elastic net, mean absolute error (MAE): 7.25). The best model in 2020 was a time series model (exponential smoothing state space model with Box-Cox transformation, ARMA errors and trend and seasonal components, MAE: 10.44). Models forecasting admissions one week in advance did not perform better than monthly and yearly models in 2019 but they did in 2020. The most important features for the machine learning models were calendrical variables.
Conclusion
Model performance did not vary much between different modelling approaches before the COVID-19 pandemic and established forecasts were substantially better than one-step seasonal naïve forecasts. However, weekly time series models adjusted quicker to the COVID-19 related shock effects. In practice, different forecast horizons could be used simultaneously to allow both early planning and quick adjustments to external effects.
In Silico Analysis of Ferrocenyl-analogues as the Potential Drugs Against Aggressive UK-based Strain of SARS-CoV-2 Virus
Authors: PAL MAYNAK , PANWAR ABHISHEK , WAHENGBAM SHARMILA , Musib DULAL , Roy Mithun 
Published: January 2022

Abstract
The current global pandemic created by the SARS-CoV-2 virus is still at large due to the evolution of the virus in several mutant variant. One of such variants is (VUI 202012/01: Variant Under Investigation, 2020, December, variant 01). Due to the higher transmissibility of the virus and the less effectiveness of the vaccines against the mutant variant, it is becoming a looming threat for the global population. In our current work we have selected some antiviral and anticancer ferrocene derivatives and explored their ability to inhibit the mutant spike protein in silico. Spike protein is the root cause of the higher transmissibility of the virus. So by inhibiting the spike protein we can inhibit the viral pathogenesis. Among our selected compounds, derivative 1 exhibited very good inhibition parameters with binding energy of -10.22 kcal/mol. It also exhibited good inhibition of cytokine proteins like NF-κβ and IL-6 proteins. In several cases the covid affected patients are subjected to severe cytokine storm which in term leads to the alveolar edema and death. So by inhibiting the spike protein and cytokine proteins, derivative 1 can act as dual targeting drug that inhibits the mutant variant pathogenesis as well as cytokine inhibitor and decrease the mortality rate.
Nonlinear phonon laser with dissipation-governed levitated optomechanics
Authors: Kuang Tengfang , Huang R. , Xiong Wei , Zuo Yunlan , Han Xiang , Nori Franco , Qiu Cheng-Wei , Luo Hui , Jing H. , Xiao Guangzong 
Published: January 2022

Abstract
Phonon lasers, exploiting coherent amplifications of phonons, have been a cornerstone for exploring quantum phononics, imaging nanomaterial structures, and realizing force sensors or phonon frequency combs. Single-mode phonon lasers, governed by dispersive optomechanical coupling, have been recently demonstrated via levitating a nanoparticle using an optical tweezer. Such levitated optomechanical (LOM) devices, with fundamental minimum of noises in high vacuum, can flexibly control large-mass objects with no internal discrete energy levels. However, it is still elusive to realize nonlinear multi-frequency phonon lasing with levitated microscale objects, dominated instead by dissipative LOM coupling due to much stronger optical scattering loss. Here, we report such a nonlinear phonon laser by employing a Yb3+-doped active LOM system. We observe a 3-order of magnitude enhancement for the fundamental-mode phonon lasing, compared with that in its passive counterparts. Above the lasing threshold, higher-order mechanical sidebands emerge spontaneously. Coherent correlations are also identified for the phonon modes. Our gain-assisted dissipative LOM platform no longer relies on any complicated external feedback control. Our work drives LOM into a new regime where it becomes promising to study mechanical properties or quantum entanglement of typical micro-size objects, such as atmospheric particulates and living cells, and build levitated force sensors with these objects for biomedical or astronomical applications.
Predictors of family planning usage among multiparous women in the Nkwanta-South Municipality of Ghana
Authors: Ekuwornu Lucky , Amenu Johnpaul , Asem Livingstone 
Published: January 2022

Abstract
Background: Family planning use is one of the most cost-effective public health interventions; averting unplanned pregnancies, reducing maternal deaths, and helps individuals and couples to decide freely and responsibly when to have children. Despite these benefits, several research findings have reported low levels of family planning usage hence the need to determine factors influencing family planning usage among multiparous women in the Nkwanta South Municipality.Methods: A descriptive cross-sectional study was done using a structured questionnaire to collect data from 328 selected multiparous women living in the Nkwanta south municipality. Data were analyzed using STATA 16. Descriptive statistics were performed to determine the levels of knowledge, acceptance, and family planning usage, while multivariate analysis was done to determine the factors influencing family planning usage.Results: The findings of this study show that 318 (96.9%) of the multiparous women had already heard of family planning. Most of the respondents, 204 (62.6%) had good knowledge of family planning, however, a little above average 172 (52.4%) accepted family planning. The proportion currently using some form of family planning was 75 (22.9%), of which 31 (41.3%) were using Jadelle. Multiparous women with good knowledge of family planning were 4.5 (95% CI: 2.30-8.89) times more likely to use family planning compared to those with poor knowledge, while multiparous women with poor acceptance of family planning were 0.43 (95% CI: 0.25-0.75) times less likely to use family planning compared to those with good acceptance of family planning.Conclusions: The result of the study shows low levels of knowledge, acceptance, and usage of family planning among multiparous women. Thus, there is a need to improve health promotion activities in the municipality to increase knowledge, acceptance, and usage of family planning among multiparous women.
Vertical Distribution Characteristics of the Phenotypic Traits of High-Yielding Wheat Varieties Under Limited Irrigation and Nitrogen Supply
Authors: Zang He-Cang , Wang Yan-Jing , Liu Yun-Peng , Zhang Ying-Hua , Zheng Guo-Qing , Li Guo-Qiang , Wang Zhi-Min 
Published: January 2022

Abstract
To clarify the vertical distribution characteristics of the phenotypic traits of high-yielding wheat varieties, the canopy was used as the system, with the leaf position and node position as the level, stratified from top to bottom. The morphological structure characteristics of the leaf layer, node layer and light transmittance of the high-yielding wheat varieties under limited irrigation and nitrogen supply were studied and discussed. The results showed that two-year test yield and nitrogen fertilizer production efficiency (NPF) were the highest in the spring irrigation at jointing and anthesis stages (W2) and 192 kg/hm2 (N1), which achieved high yield and efficient nitrogen utilization. With the decrease of the leaf layer from top to bottom, the leaf area of the two wheat varieties displayed a trend of being higher in the upper layer and lower in the lower layer, while the light transmittance showed a decreasing trend. As the node layer decreased from top to bottom, the node length of the two wheat varieties decreased sequentially. Comprehensive research suggested that appropriate irrigation and nitrogen input improved the vertical distribution characteristics of wheat phenotypic traits, and can obtain higher grain yield and nitrogen fertilizer production efficiency.
Abnormal Expression and Clinical Significance of Surface Receptors on Natural Killer Cells in the Peripheral Blood of Patients With Non–Small Cell Lung Cancer
Authors: liu pengcheng , Feng Xiaowen , Zhao Xiaomin , Ye Jing , He Fenglian , Liu Hui , Li Renming , Wang Xuefu , Zhao Dahai 
Published: January 2022

Abstract
Background Natural killer (NK) cells typically function as frontline lymphocytes against cancer although little is known about their engagement in non–small cell lung cancer (NSCLC). This study compared the performance and activity of NK cells and their subsets in the peripheral blood of NSCLC sufferers and healthy participants. Methods In total, 67 healthy controls (40 men; 59.7%) and 56 patients with NSCLC (35 men; 62.5%) were included (mean age, 66.6 years). Flow cytometry identified NK cells and their subpopulations in external blood, and the total number, proportion, activity, surface activating and inhibitory receptor expression levels were determined. Results NK cell surface receptors CD107a, IFN-γ, and TNF-α activity were markedly reduced in lung cancer patients compared to healthy controls. The number and ratio of NK cells within the lymphocyte population were decreased in patients. The concentration of the inhibitory receptors TIGIT, TIM-3, CD96, PD-1, and Siglec-7 were increased in patients, whereas the expression level of the activating receptor NKP30 was decreased. Moreover, the expression levels of IFN-γ, TIGIT, CD96, PD-1, and TIM-3 were correlated with the clinical phase of NSCLC.Conclusions NSCLC patients have decreased number and function of external blood NK cells, and the proportion of most of the inhibitory receptors assessed on NK cells in this study increased as the disease progressed. These findings suggest that surface receptors from NK cells are likely to be involved in the evolution of NSCLC.