bluuebunny/crossref_metadata_2025_split huggingface dataset:
Silencing of CMTM6 Inhibits the Proliferation and Migration of SiHa Cervical Cancer Cells by Inhibiting MAPK Signaling
Authors: Huang Xiaoting , Liu Wei , Liu Chunshan , Wang Baiyao , Ren Anbang , Hu Jijie , Liu Jinquan , Yuan Yawei , Li Mingyi 
Published: August 2021

Abstract
Background: CKLF like MARVEL transmembrane domain containing 6 (CMTM6) is an important programmed cell death 1 ligand 1 (PD-L1) regulator. CMTM6 was identified as an immune checkpoint inhibitor，that regulates tumor T cell activity in vivo and in vitro. The function of CMTM6 in cervical cancer, however, remains unclear. In addition, whether CMTM6 participates in ovarian cancer epithelial-mesenchymal transition (EMT) is unknown.Methods: Immunohistochemistry was used to detect CMTM6 expression in cervical cancer tissues and non-cancerous adjacent tissues. CMTM6 was knocked down and overexpressed, respectively, in the human SiHa cell line. Transwell and wound healing assays were used to assess cell migration and cell invasion. Western blotting was used to detect phosphorylated (p)-C-Jun N-terminal kinase (JNK)1/2, total (t)-JNK1/2, p-p38, t-p38, and EMT-related protein levels in Siha cells. In vivo lung transplantation tumor models were used to determine if CMTM6 upregulation in ovarian cancer cells could promote metastasis.Results: CMTM6 showed higher expression in human ovarian cancer tissues than in adjacent non-cancerous tissues. In vitro assays showed that CMTM6 promoted ovarian cancer cell invasion, migration, proliferation, and EMT via MAPK JNK/p38 signaling pathway activation. Stimulating CMTM6-overexpressing cells with MAPK JNK/p38 signaling antagonists reduced SiHa cell metastasis, invasion, proliferation and EMT. In a mouse model of lung metastasis, CMTM6 increased the metastasis of ovarian cancer. Conclusion: CMTM6 activates MAPK JNK/p38 signaling to enhance the EMT and metastasis of ovarian cancer cells. These results suggest CMTM6 as a molecular target for the prevention and treatment of ovarian cancer metastasis.
Prediction of Daily Streamflow Using Various Kernel Function Based Regression: A Case Study in India
Authors: Kumar Manish , Elbeltagi Ahmed , Srivast Ankur , Kumari Anuradha , Ali Rawshan , Pande Chaitanya , Bajirao Tarate Suryakant , I Abu Reza Md. Towfiqul , Kushwaha Daniel Prakash 
Published: August 2021

Abstract
River daily discharge estimation and modeling considers an important step for scheduling and planning different water resources for sustainable socio-economic development. In the current work, four techniques of Gaussian processes regression (GPR): Polynomial Kernel, Radial Basis Function Kernel, Normalized Polynomial Kernel, and PUK Kernel, were used to model the daily discharge. Hydrological-datasets containing daily-stage (m) and discharge (m3/sec) were gathered over the period from 2004-2013. The datasets were divided into two sections: (i) models training containing 70% (2004-2010) of the total data and (ii) remaining 30% (2011- 2013) were for testing. Comparing all the four developed models, our findings show that the superlative model was the PUK-Kernel model with a correlation coefficient (r) of 0.96, MAE of 36.70 m3/s, RMSE of 90.92 m3/s, RAE of 17.50 %, RRSE of 26.05 % in the training period. Whereas, it performed equally well in the testing period with r = 0.97, MAE = 44.84 m3/s, RMSE = 95.05 m3/s, RAE = 17.98 %, RRSE = 24.94 % in the testing period. Our findings can be included that GPR-PUK was more accurate and stable than other models, and can be used to help water-users, decision-makers, development-planners for managing water resources and achieving sustainable development.
Pulmonary Artery Catheterization was not Associated with Survival Benefits in Critically Ill Patients with Cardiac Disease: An Analysis of the MIMIC-IV Database
Authors: Wu Jie , Zhou Shiyu , Hu Hongbin , Zhang Yuan , An Sheng , Sha Tong , Li Lulan , Zhang Yaoyuan , Huang Qiaobing , Chen Zhongqing , An Shengli , Zeng Zhenhua 
Published: August 2021

Abstract
Background: It is not clear whether pulmonary artery catheter (PAC) placement is beneficial for critically ill patients with heart disease. This study aims to investigate the association of PAC use with 28-day mortality in that population.Methods: The MIMIC-IV database was employed to identify critically ill patients with cardiac disease with or without PAC insertion. The primary outcome was 28-day mortality. Multivariate regression was modeled to examine the association between PAC and outcomes. Additionally, we examined the effect modification by cardiac surgeries. Propensity score matching (PSM) was conducted to validate our findings.Results: No improvement in 28-day mortality was observed among the PAC group compared to the non-PAC group (odds ratio=1.18, 95% CI=1.00-1.38, P=0.049). When stratified by cardiac surgeries, the results were consistent. Patients in the PAC group had fewer ventilation-free days and vasopressor-free days than those in the non-PAC group after surgery stratification. In surgical patients, PAC insertion was not associated with the occurrence of acute kidney injury (AKI), and was associated with a higher daily fluid input (mean difference=0.13, 95% CI=0.05-0.20, P=0.001). In non-surgical patients, the PAC group had a higher risk of AKI occurrence (odds ratio=1.94, 95% CI=1.32-2.84, P=0.001).Conclusion: PAC placement was not associated with survival benefits in critically ill patients with cardiac diseases, either in surgical and non-surgical patients.
Remote Patient Monitoring for COVID-19 Patients: Comparisons and Framework for Reporting
Authors: Joyce David , De Brún Aoife , Symmons Sophie Mulcahy , Fox Robert , McAuliffe Eilish 
Published: August 2021

Abstract
BackgroundRemote patient monitoring (RPM) has been implemented for COVID-19 patients by various health services at speed, without the opportunity to learn one from another. A lack of standardised reporting has hindered evaluation of RPM.AimsThe aims of this overview of RPM for COVID-19 patients are twofold: (1) to provide tabulated, descriptive information for a range of implementations to facilitate familiarization, learning and comparison; and based on this(2) to develop a framework for reporting to improve reporting consistency as a first step towards the development of reporting guidelines for RPM.MethodA rapid review of the literature for RPM for COVID-19 patients was conducted seeking studies that provided details of a specific implementation of RPM with sufficient information to compare one with another. The content of these articles was then reviewed and synthesised to a tabular format under common headings to facilitate ready comparison and to highlight omissions in reporting. Reporting consistencies and inconsistencies between the studies were then considered to develop a framework for reporting.ResultsThe studies suggested key common characteristics outlined under four headings: context, technology, process, and metrics. These were further divided into subheadings to provide a consistent tabular format to aid familiarization. Consideration of consistencies and inconsistencies in reporting suggests the following criteria be used for reporting: Dates, Rationale, Patients, Medical team, Technology provider, Communication mode, Patient equipment, Patient training, Staff training, Markers, Data Input Frequency, Thresholds for Escalation, Discharge and Metrics for: RPM Enrollment, Escalation, Patient acceptance, Staff acceptance, and Patient adherence.
Developmentof 84 single nucleotide polymorphism (SNP) markers for the three-spot swimming crab (Portunus sanguinolentus) by using RAD appoach Guidong Miao1,2,3 Feng Wang1,2,3 Jihua Guo1,2,3, Pei Zhang1,2,3 Hongyu Ma4
Authors: Miao Guidong , Wang Feng , Guo Jihua , Zhang Pei , Ma Hongyu 
Published: August 2021

Abstract
The three-spot swimming crab (Portunus sanguinolentus) is one of most important large size economic crab in China. In this study, we first isolated and characterized a set of 84 SNP loci in P. sanguinolentus. 10 pairs of primers PCR products were sequenced and a total of 3181bp high-quality DNA sequences were obtained from which 84 polymorphic SNP loci were identifed and 84 SNP loci were identified and accurated genotyped. The average frequency of SNP loci was one locus every 38 base pairs in P. sanguinolentus genome. Of these 84 SNP loci, each had bi-alleles with the minor allele frequency ranging from 0.0167 to 0.5000. The observed heterozygosity varied from 0.0333 to 0.7143, while the expected heterozygosity ranged from 0.0333 to 0.5085 per locus. 51 loci showed low variation (HO ≤ 0.3) and fourteen SNP loci showed high variation (HO ≥ 0.5). Among 84 SNP loci, 11 loci showed significant deviation from Hardy–Weinberg Equilibrium. The SNP markers developed herein will provide valuable information for elucidating population genetic diversity, population dynamics, and conservation genetics of this germplasm resource and other related crab species.
The Role of Bystander Effect in Ultraviolet A Induced Photoaging
Authors: Hansda Surajit , Ghosh Gargi , Ghosh Rita 
Published: August 2021

Abstract
Background: Exposure to sunlight, mainly UVA, leads to typical changes in the features of the skin known as photoaging. UVA irradiation induces the expression of proteases that are responsible for the degradation of the extracellular matrix proteins to results in photoaging; it also downregulates the expression of proteins that are needed for the skin structure. Since, it is known that cells in the neighborhood of irradiated cells, but not directly exposed to it, often manifest responses like their irradiated counterparts, it is important to evaluate if these bystander cells too, can contribute to photoaging. Methods and Results: UVA induced cell cycle arrest have been associated with photoaging, from flow cytometry analysis we found that there was an induction of cell cycle arrest at the G1/S phase in the UVA-bystander cells. The expression of some key photoaging marker genes likes, matrix metalloproteinases (MMP-1, MMP-3, MMP-9), cyclooxygenase-2 (COX-2), collagen1 and elastin were assessed from qRT-PCR. Upregulation of MMP-1 and COX-2, downregulation of collagen1 and elastin, along with suppression below normal expression for MMP-3 and MMP-9 was observed in the UVA-bystander A375 cells. Conclusion: Our findings for the first time suggest the contribution of UVA-bystander cells to the process of photoaging.
ELK1-induced upregulation of long non-coding TNK2-AS1 promotes the progression of acute myeloid leukemia by EZH2-mediated epigenetic silencing of CELF2
Authors: Guo Dongfang , Zhang Airong , Suo Meifang , Wang Ping , Liang Yile 
Published: August 2021

Abstract
Acute myeloid leukemia (AML) is the commonest hematological malignancy in the world. Long non-coding RNAs (LncRNAs) have been suggested as key regulators of cancer development and progression in AML. As a member of lncRNA family, the biological role and mechanisms of tyrosine kinase non receptor 2 antisense RNA 1 (TNK2-AS1) in AML is still unclear. The expression of TNK2-AS1 was measured by using RT-qPCR in AML cell lines. The changes in TNK2-AS1 shRNA-transfected HL-60 and THP-1 cell proliferation, apoptosis and differentiation were detected by using CCK-8, EdU, flow cytometry, Western blot and NBT assays. Molecular control of TNK2-AS1 on CUGBP Elav-like family member 2 (CELF2) and ETS domain-containing protein-1 (ELK1) on TNK2-AS1 was assessed by chromatin immunoprecipitation (ChIP), RT-qPCR, Western blot and RNA immunoprecipitation (RIP) assays. TNK2-AS1 expression was upregulated in AML cell lines and negatively correlated with survival patients. Knockdown of TNK2-AS1 markedly reduced AML cell proliferation and promoted apoptosis and differentiation. Likewise, TNK2-AS1 knockdown significantly suppressed tumor growth in vivo. Mechanistically, the upregulation of TNK2-AS1 was activated by transcription factor ELK1. Beside, we uncovered that TNK2-AS1 exerted tumor-promoting effect through silencing CELF2 via binding with EZH2, thus activating PI3K/Akt pathway in AML cells. Elevated expression of TNK2-AS1 was induced by ELK1 and facilitated AML progression by suppressing CELF2 expression via EZH2-mediated epigenetic silencing, suggesting TNK2-AS1 may be a promising therapeutic target and prognostic marker for AML patients.
Dynamics of Spatial Epidemic Model with Infected Population Repulsion
Authors: Yan Meng , Zhang Qingshan 
Published: August 2021

Abstract
In this paper, we are concerned with the spatial epidemic model with infected-taxis in which the susceptible individuals could avoid the infected ones. The spatial pattern for the resulted model is investigated under homogeneous Neumann boundary condition. We gain the condition for spatial pattern induced by diffusion term and infected-taxis term. Moreover, we obtain the condition for the occurrence of pattern formations induced by infected-taxis, in which the diffusion-driven Turing instability case is excluded. We give numerical examples to support the theoretical scheme.
Fuzzy logic-based energy management strategy for a novel mechatronics-electro-hydraulic power coupling electric vehicle
Authors: Yang Jian , Zhang Tiezhu , Hong Jichao , Zhang Hongxin , Zhao Qinghai , Meng Zewen 
Published: August 2021

Abstract
In order to solve the troubles of electric peak torque and enhance the energy efficiency of electric vehicles, a novel mechatronics-electro-hydraulic power coupling electric vehicle (MEH-PCEV) with low energy consumption is proposed. The hydraulic system and the motor are integrated into a device to simplify the structure, taking the pure electric vehicle as a reference. Simultaneously, a fuzzy logic-based optimization method is proposed for real-time adjustment of the electric torque based on the original rule control strategy. Compared with the pure electric vehicle, the proposed methods can substantially enhance energy utilization and the recovery efficiency of electric energy. Ultimately, the actual driving cycle is analyzed using data acquisition capacity, with the authentic speed as the input signal. The verification results on real-world vehicles demonstrate the consumption rate of the battery state of charge and the electric torque are improved by 7.32% and reduced by 22.24%, respectively. Moreover, this research is expected to provide a reference for the development and engineering applications of the mechatronics-electro-hydraulic coupling systems.
Response Process of The Winter Soil Moisture of Different Vegetation Types to Rainfall Events in Karst Slope Land
Authors: Yuan Ershuang , zhou qiuwen , Yan weihong , peng dawei , wang yalin 
Published: August 2021

Abstract
Understanding the response process of the soil moisture of different vegetation types to rainfall in karst regions in winter is of great significance to the implementation of various ecological restoration projects. However, at present, the related research is mainly focused on nonwinter seasons, so there is less winter research. Therefore, in this study, in Guanling County, Anshun City, southwestern Guizhou Province, four types of vegetation, grassland, arable land, shrubland, and forestland, were selected as sample plots, and the degree、time and speed responses of the soil moisture of the vegetation types to rainfall were calculated using the time series data of the soil moisture of different vegetation types. The results showed that among the four kinds of vegetation in karst regions in winter, the response degree of the grassland soil moisture to rainfall was largest, response duration was longest, and response speed was fastest. Also, the increment of the soil moisture in the adjacent arable land soil layers significantly changed. In addition, in light rain events, only the soil moisture of the grassland and arable land responded. Overall, in this study, quantitative indices were used to illustrate the response process of soil moisture to rainfall for different vegetation types under the humid climate type of the mid-subtropical zone in pure limestone slope lands, thus enriching relevant knowledge systems and providing more scientific bases for the implementation of ecological restoration projects in karst areas.
Diet Induces the Difference of Gut Fungal Communities between Anser erythropus Wintering at Shengjin and Caizi Lakes, China
Authors: Liu Gang , Gong Zhizhong , Feng Jiahui , Xu Na 
Published: August 2021

Abstract
The gut microbiota play major roles in host nutrition and metabolism, and even potential to cause serious disease for animals and human, however, the knowledge of waterbirds’ gut fungal communities are quite limited at present. In this paper, the gut fungal communities and infer the potential pathogens isolated from the feces of Anser erythropus wintering at Shengjin Lake (SJ) and Caizi Lake (CZ) were investigated based on ITS gene region by using high-throughput sequencing. 1,302,562 valid tags corresponding to 2,102 OTUs were retained from 20 fecal samples, including 10 samples per lake. The OTUs from SJ geese represented seven phyla and 27 classes, seven phyla and 28 classes were identified from CZ samples. Ascomycota, Basidiomycota, Zygomycota and Rozellomycota were the dominant gut fungal phyla in this study, accounted for 61.60%, 35.60%, 1.84%, and 0.30% of the OTUs, respectively. The alpha diversity indices showed significantly different between the geese from SJ and CZ. The Anser erythropus mainly ate Poaceae spp. at SJ, while Carex spp. component was identified at CZ, suggesting that the variations in fungal community between the two lake geese might be induced by different diets. We also observed a fungal pattern with a higher number of significant correlations to bacterial genus, and Ceratobasidium, Tomentella, Paurocotylis, Tuber, Podospora and Mortierella were core fungal genus in the two lake geese. Nine potential pathogenic species were identified in the guts across all samples of Anser erythropus at SJ and CZ, it also showed the relative abundance of potential pathogen was significantly higher from SJ samples than that from CZ samples. These findings expanded our knowledge on the gut fungi for waterbirds, indicating the fungi are highly sensitive to diet at two lakes and should pay more attention to the potential pathogenic species of Anser erythropus.
Design and Self-Consistent Schrodinger-Poisson Model Simulation of Ultra-Thin Si-Channel Nanowire FET
Authors: Verma Chhaya , Singh Jeetendra 
Published: August 2021

Abstract
Since at the regime of nanometer, the quantum confinement effects are observed and the wave nature of electrons is more dominant. Therefore, the classical approach of current formulation in mesoelectonics and nanoelectronics results in inaccuracy as it does not consider the quantum effect, which is only applicable for the bulk electronic device. For accurate modeling and simulation of nanoelectronics, device atomic-level quantum mechanical models are required. In this work, an ultra-thin (3 nm diameter) Silicon- channel Cylindrical Nanowire FET (CNWFET) is designed and simulated by invoking non-equilibrium green function (NEGF) formalism and self-consistent Schrodinger-Poisson’s equation model. Then impact variation of temperature, oxide thickness, and metal work function variation in the proposed NWFET is investigated to analyze the distinct performance parameters of the device e.g. threshold voltage (Vth) drain induced barrier lowering (DIBL), sub-threshold swing (SS), and ION/IOFF ratio. The designed device exhibits reliable results and shows a SS of 57.8 mV/decade and ION to IOFF ratio of order 109 at room temperature.
Impact of the Staffing Structure of Intensive Care Units and High Care Units on In-Hospital Mortality Among Patients with Sepsis: A Retrospective Analysis of Japanese Nationwide Claims Data
Authors: Nishimoto Kota , Umegaki Takeshi , Kamibayashi Takahiko 
Published: August 2021

Abstract
Background: Critical care in Japan is provided in intensive care units (ICUs) and high care units (HCUs), which are categorized based on their fulfillment of different staffing criteria. Under Japan’s medical fee reimbursement system, units with higher staffing levels are eligible to receive higher reimbursements. However, the different staffing structure of these units may affect the quality of care and patient outcomes. This study aimed to analyze the impact of ICU/HCU staffing structure on in-hospital mortality among septic patients in Japan’s acute care hospitals using a nationwide claims database.Methods: We conducted a large-scale multicenter retrospective cohort study of adult septic patients (aged ≥18 years) who received critical care in acute care hospitals throughout Japan between April 2018 and March 2019. Patients were categorized into three groups according to the type of unit in which they received critical care: Type 1 ICUs (fulfilling stringent staffing criteria such as experienced intensivists and high nurse-to-patient ratios), Type 2 ICUs (fulfilling less stringent criteria), and HCUs (fulfilling the least stringent criteria). A Cox proportional hazards regression model was constructed with in-hospital mortality as the dependent variable and the ICU/HCU groups as the main independent variable of interest. Other covariates included age, emergency or non-emergency admission, major diagnostic categories, mechanical ventilation, noninvasive positive airway pressure ventilation, oxygen therapy, and renal replacement therapy.Results: We analyzed 2411 patients (178 hospitals) in the Type 1 ICU group, 3653 patients (422 hospitals) in the Type 2 ICU group, and 4904 patients (521 hospitals) in the HCU group. When compared with the HCU group, the adjusted hazard ratios for in-hospital mortality were 0.74 (95% confidence interval: 0.71–0.77; P<0.001) for the Type 1 ICU group and 0.83 (0.80–0.85; P<0.001) for the Type 2 ICU group. Emergency hospital admission had the highest hazard ratio for in-hospital mortality (hazard ratio: 4.78; P<0.001).Conclusions: ICUs that fulfill more stringent staffing criteria were associated with lower in-hospital mortality in septic patients than HCUs after adjusting for confounders. Optimizing the staffing structure of these units may contribute to the improvement of patient outcomes.
Complete Terahertz Polarization Control With Broadened Bandwidth via Dielectric Metasurfaces
Authors: Wang Dacheng , Sun Song , Feng Zheng , Tan Wei 
Published: August 2021

Abstract
We demonstrate terahertz dielectric metasurfaces with anisotropic multipoles within the framework of the generalized Huygens principle, in which the interference among these multipoles achieves giant phase shift with broadened bandwidth and high transmission coefficients. More importantly, owing to the anisotropic design, various phase delays between π/2 and 3π/2 are obtained, which convert the incident linearly polarized terahertz wave into right/left-handed circularly polarized light, elliptically polarized light and cross polarized light. Both simulation and experimental results verify complete terahertz polarization control with the ellipticity ranging from 1 to -1, which paves a way for polarization–related applications of terahertz meta-devices.