bluuebunny/crossref_metadata_2025_split huggingface dataset:
miRNA-485 Regulates Th17 Generation and Pathogenesis in Experimental Autoimmune Encephalomyelitis through Targeting STAT3
Authors: xue yumei , Zhang Lu , Guo Ruoyi , Shao Xi , Shi Mengya , Yuan Congcong , Li Xiaobing , Li Bin 
Published: October 2022

AbstractExperimental autoimmune encephalomyelitis (EAE) refers to the T-helper (Th) cell-induced autoimmune disease causing demyelination, axonal loss, as well as neurodegeneration of central nervous system (CNS). EAE pathogenesis is highly dependent on T-helper 17 cells (Th17) that generate interleukin-17 (IL-17), and their activity and differentiation are tightly regulated by some cytokines and transcription factors (TFs). In the pathogenic mechanism of various autoimmune disorders, including EAE, certain miRNAs play a role. Our research detected a novel microRNA (miR) that can regulate EAE. According to the results, during EAE, the expression of miR-485 notably lowered while significant increase could be found through STAT3 expression. It was discovered that miR-485 knockdown in vivo upregulated Th17-associated cytokines while aggravating EAE, whereas miR-485 up-regulation down-regulated Th17-associated cytokines while mitigating EAE. The up-regulation of miRNA-485 in vitro inhibited Th17-associated cytokine expression within EAE CD4+T cells. Furthermore, as revealed by target prediction and dual-luciferase reporter assays, STAT3 was miR-485’s direct target, a gene that encodes a protein responsible for Th17 generation. Taken together, miRNAs exert vital functions in Th17 generation and EAE pathogenesis.
Mutant huntingtin oligomers drive early human pathogenesis in Huntington’s disease
Authors: Miguez Andrés , Gomis Cinta , Vila Cristina , Monguió-Tortajada Marta , Fernández-García Sara , Bombau Georgina , Galofré Mireia , García-Bravo María , Sanders Phil , Fernández-Medina Helena , Poquet Blanca , Salado-Manzano Cristina , Roura Santiago , Alberch Jordi , Segovia José Carlos , Allen Nicholas D. , Borràs Francesc E. , Canals Josep M. 
Published: October 2022

Abstract
Huntington's disease (HD) is an incurable inherited brain disorder characterized by massive degeneration of striatal neurons, which correlates with abnormal accumulation of misfolded mutant huntingtin (mHTT) protein. Research on HD has been hampered by the inability to study early dysfunction and progressive degeneration of human striatal neurons in vivo. To investigate human pathogenesis in a physiologically relevant context, we transplanted human pluripotent stem cell-derived neural progenitor cells (hNPCs) from control and HD patients into the striatum of newborn mice. Chimeric mice were subjected to behavioral testing and implanted human cells were examined by immunohistochemistry and electron microscopy. Most hNPCs differentiated into striatal neurons that projected to their target areas and established synaptic connections within the host basal ganglia circuitry. Remarkably, HD human striatal neurons first developed mHTT oligomers, which primarily targeted endoplasmic reticulum, mitochondria and nuclear membrane to cause structural alterations. Furthermore, HD human cells secreted extracellular vesicles containing mHTT oligomers, which were internalized by non-mutated mouse striatal neurons triggering cell death. We conclude that interaction of mHTT oligomers with key cellular organelles initially drives disease progression in HD patients, and that mHTT oligomers within extracellular vesicles contribute to spread the disease in a non-cell autonomous manner.
The impact of JCI accreditation on the clinical, operational, and financial performance of Chinese private hospitals
Authors: Zhang HongFan , Chiu Herng-Chia , Shi Leiyu , Engineer Lilly , Bittle Mark J. 
Published: October 2022

Abstract
Background: Joint Commission International (JCI) accreditation is well known as an international hospital accreditation body focused on improving the quality of health care and patient safety. Over 90% of JCI-accredited hospitals in China are private hospitals. Our study is the first one to examine the impact of JCI accreditation on Chinese private hospitals. The study objective was to assess the association between JCI accreditation and clinical, operational, and financial performance measures.
Methods: We used multiple-group interrupted time series analysis(ITSA) to compare intervention Hospital A and comparison Hospital B in terms of eight performance measures based on monthly observations over seven years from January 2015 to December 2021. The clinical quality measures used were the C-section rate, perineal incision rate, incidence of macrosomia, and preterm birth rate. The operational performance indicators were the number of outpatient visits and the number of deliveries. The financial performance measures were revenue and earnings before interest, tax, depreciation & amortization(EBITDA).
Results: P value of <0.05 was used for statistical significance. The regression analysis indicated that JCI accreditation significantly associated with the C-section rate, the number of outpatient visits, the number of deliveries, and revenue. However, JCI accreditation had no statistically significant association with the other three clinical measures, namely, the perineal incision rate, incidence of macrosomia, and preterm birth rate. No evidence demonstrated that JCI accreditation statistically associated with EBITDA.
Conclusions: This is the first study to evaluatethe impact of JCI accreditationon select clinical, operational, and financial performance measures in Chinese private hospitals, which account for over 90% of all JCI-accredited hospitals in China. JCI accreditation is significantly associated with a reduction in the C-section rate, an increase in revenue, and increased outpatient visits and deliveries. The associated external assessment promotes the continuous improvement of care quality and patient safety. Hospital management may use JCI accreditation as a management tool to drive integration, collaboration, and improvement.
Clinical trial registration: Not applicable
Genetic architecture of DCC and influence on psychological, psychiatric and cardiometabolic traits in multiple ancestry groups in UK Biobank
Authors: Strawbridge Rona , Forsyth Lewis , Cullen Breda , Graham Nicholas , Lyall Donald , Lyall Laura , Pell Jill , Ward Joey , Smith Daniel 
Published: October 2022

Abstract
People with severe mental illness have a higher risk of cardiometabolic disease than the general population. Traditionally attributed to sociodemographic and behavioural factors and medication effects, recent genetic studies have provided evidence of shared biological mechanisms underlying mental illness and cardiometabolic disease. This study aimed to determine whether signals in the DCC locus, implicated in cardiometabolic and psychiatric conditions, were shared with, or distinct. Using the UK Biobank cohort, we systematically assessed the impact of genetic variation in the DCC (deleted in colorectal carcinoma) locus on traits related to cardiometabolic and psychiatric conditions in unrelated “white British” participants (N = 402837). Logistic or linear regression were applied assuming an additive genetic model and adjusting for age, sex, genotyping chip and population structure (eight genetic principal components). Bonferroni correction for the number of independent SNPs within the locus was applied. Conditional analyses (including lead variants as covariates) and trans-ancestry analyses were used to investigate linkage disequilibrium between signals. Significant associations were observed between DCC variants and smoking, anhedonia, body mass index (BMI), neuroticism and mood instability, with multiple conditionally-independent signals being identified for the latter three traits. Conditional analyses and linkage disequilibrium structure suggested signals for smoking and BMI were distinct from each other and the mood traits, whilst individual mood traits were inter-related in a complex manner. Genetic variation in the DCC locus had distinct effects on BMI, smoking and mood traits, and therefore is unlikely to contribute to shared mechanisms underpinning mental and cardiometabolic traits.
Screen-printed electrochemically activated ink on stretchable fabric for wearable micro-supercapacitors
Authors: Li Xiaoyan , Lin Xiaoping , Zhang Zhihui , Li Xianghong , Zhang Wei , Song Kaili 
Published: October 2022

Abstract
Micro-supercapacitors (MSCs) have received a lot of attention with the rapid development of wearable, highly integrated and flexible electronics due to their high power density and long cycle life. Among the preparation methods, the screen printing is widely used due to its simplicity, low cost, integratability and ease of industrial production. However, the conductivity, rheology and printability of the ink are still required to be further optimized in order to improve the resolution and electrochemical properties of the printed patterns. And combining high energy capacity and wearability of micro-supercapacitors is also a big challenge. Therefore, a new water-based conductive ink is prepared herein to develop CO-CNT-MnO2-based micro-electrode on stretchable cotton/spandex fabric by screen printing. The CO-CNT-MnO2/F-based MSCs with forked finger structure are further assembled combined with PVA/LiCl, which achieve an area capacitance of 8.479 mF/cm2 at 10 mV/s and reach a maximum energy density of 0.132 mWh/cm2 at the power density of 0.176 mW/cm2. In addition, the MSC still has high capacitance retention under bending/friction/tensile conditions. This work highlights the great potential of the new water-based conductive ink for application of stretchable MSCs based on screen printing.
Experimental study and numerical simulation of cutting and tearing of silicone rubber using Extended Finite Element Method (XFEM)
Authors: Gzaiel Marwa , Triki Ennouri , BARKAOUI Abdelwahed , Chafra Moez 
Published: October 2022

Abstract
Failure of soft materials is a fundamental challenge due to the strongly nonlinear and dissipative deformation involved. An experimental and extended finite element study of dynamic crack in silicone rubber are investigated. Hence, material preparation procedures, details of sample as well as testing apparatus which have been used for cutting, pure shear tests are presented. First, the rate of energy restitution and an instantaneous propagation speed were achieved. The crack propagation speed / energy release rate relationships are given for the different strain rates. second, an analysis of the mechanical fields and stress state in the fracture process zone is proposed. Finally, cutting force evolution according to stretches is established. Then, an energy-based approach was introduced. Results show that the cutting force and the total cutting energy decreases significantly with increasing deformation rate.
Investigation of electrode combinations in electricity generation from the pulp and paper industry wastewater
Authors: Iqbal Humayun , Bhowmik Arup , Yasmin Sabina , Aziz Shahin , Islam Dipa , Jamal Mohammad Shah , Hossain Mosharof 
Published: October 2022

Abstract
Bioelectrochemical systems are a new secondary effluent treatment method where bacteria degrade industrial sludge and generate electricity for the external circuit. In this study, paper industry wastewater effluents were treated in microbial fuel cells (MFCs) by utilising six different sets of electrodes to produce bioelectricity. Bacterial biofilms were studied by field emission scanning electron microscopy (FESEM). Investigation disclosed that zinc mesh and carbon plate (MFC-2) had the highest power generation as observed with 1193 mV of output voltage, 2.69 mA output current and 533 mW/m2 power density along with 92% BOD removal without electrolyte solution. The lowest 325 mV of output voltage, 0.15 mA of output current and 7.0 mW/m2 of power density with 37% removal of BOD were measured for MFC-3, which was constructed with Al mesh and carbon plate. A total of 1.0 M CuSO4.5H2O cathodic electrolyte solution was added in MFC-5 with zinc and copper plates as electrodes, which enhanced the power generation and BOD removal. The highest output voltage, current and power density were obtained for MFC-5 with the magnitude of 1185 mV, 4.79 mA and 939 mW/m2, respectively.
Validity of the Polar H10 for RR intervals acquisition during different conditions for heart rate variability analysis in ski mountaineers
Authors: Gąsior Jakub S. , Rosoł Maciej , Młyńczak Marcel , Gąsienica-Józkowy Maciej , Flatt Andrew , Baranowski Rafał , Werner Bożena 
Published: October 2022

Abstract
Wearable devices enable RR interval (RRi) measurements during various conditions. We aimed to assess the validity of the Polar H10 for RRi acquisition during pre-rest stabilization, rest, sympathetic nervous system activity stimulation and recovery conditions for heart rate variability (HRV) analysis in ski mountaineers. RRi were simultaneously obtained via electrocardiogram and the Polar H10 with V800 wrist-watch among eleven elite athletes in the supine position. Short-term (5-min) and ultra-short-term (1-min) heart rate (HR) and HRV parameters were analyzed. Mean absolute percentage difference between parameters from different devices ranged from 0% to 5.4%. Intraclass correlation and concordance correlations ranged between 0.76 and 1.00. Limits of agreement (LoA) for short-term measures did not exceed the defined maximum acceptable difference (SWC) through all conditions for mean RRi, HR, time-domain and nonlinear indices, and for frequency-domain (fast-Fourier-related) during the rest condition. LoA exceeded the SWC for mean, minimal and maximal HR, time-domain and nonlinear parameters from select 1-minute samples in all conditions. The Polar H10 provides RRi that could be used for short-and ultra-short-term HRV analysis from stable resting conditions in elite ski mountaineers. Ultra-short-term parameters from exercise should be analyzed with caution especially from later minutes of activity.
Clinical significance of prolymphocytes in Chinese patients with chronic lymphocytic leukemia including those treated with BTK inhibitors
Authors: Xing Ling-Xiao , Wang Yan , Jin Ze , Sha Ye-Qin , Qiu Tong-Lu , Wang Li , Fan Lei , Zhu Hua-Yuan , Xu Wei , Li Jian-Yong , Miao Yi 
Published: October 2022

Abstract
Background
A higher percentage of prolymphocytes was reported to be associated with worse survival outcomes in patients with chronic lymphocytic leukemia (CLL). Therefore, we tried to explore the effect of prolymphocytes on the prognosis of CLL in a cohort of Chinese patients.
Methods
Three hundred untreated CLL patients were enrolled. The relevance of prolymphocyte percentage with other parameters was analyzed. Then an optimal cutoff of prolymphocyte percentage was provided by X-tile analysis. Further survival analysis and prognostic model construction were used to validate the predictive value of prolymphocyte percentage.
Results
Patients with a higher prolymphocyte percentage were more likely to present with advanced stages, higher β2-microglobulin, unmutated immunoglobulin heavy-chain variable region gene(IGHV), and tumor protein 53 gene(TP53) aberration. The optimal cutoff of the percentage of prolymphocytes was 1%. Prolymphocyte percentage showed a marginally independent prognostic effect on treatment free survival (TFS)(P = 0.071) and did not independently predict overall survival (OS) (P = 0.913) in multivariate analysis. Nomograms combining factors of CLL international prognostic index(CLL-IPI) and prolymphocyte percentage showed better discrimination and calibration in contrast with CLL-IPI alone. Besides, patients with a higher prolymphocyte percentage were more likely to progress or relapse after treatment with Bruton tyrosine kinase inhibitors(BTKi) (P = 0.038).
Conclusions
Prolymphocyte percentage was associated with various clinical and biological parameters as well as prognosis of treatment naïve CLL patients.
Propagation of Cyber-Attacks in Computer Network: A simulation study
Authors: Rawther Shiju , S Sathyalakshmi 
Published: October 2022

Abstract
The propagation of attacks of malicious objects in the computer network can be realized like the spreading of epidemic diseases such that each node of the complex computer network can be assigned to compartments with labels as Susceptible, Infectious, or Recovered nodes in such a way that the nodes can progress between these compartments. The computational model predicts how a cyber attack propagates in the network. In this paper, we use the compartmental epidemic model to investigate the temporary immunity of the nodes in a computer network, and the probabilistic simulation results validate the computational model.
FTIR-based Metabolomics Approach to Discriminate Soybeans from Different Geographical Origins of China
Authors: Xue Weifeng , Qin Zhaoqiu , Liu Ying , Bian Haitao , Dong Zhenlin , Zhang Haiqin 
Published: October 2022

Abstract
Origin traceability of soybeans using infrared spectroscopy is bound by data mining, which can be solved by metabolomics analysis. In this study, a novel infrared spectroscopy-based metabolomics approach via seeking ‘wave number markers’ was developed to achieve the discrimination of soybeans from ten different cities of China. Multivariate analytical procedures including principal component analysis (PCA), cluster analysis and orthogonal partial least squares discriminant analysis (OPLS-DA) were designed for separation of all soybean groups, which provides a possibility to discern ‘markers’ among groups. S-plot, permutation test and variable importance in projection (VIP) embedded in OPLS-DA model took on the screening of ‘markers’, which were further verified by pairwise t-test in univariate analysis. There are 27 ~ 330 ‘markers’ picked out in ten soybean groups, with the wave number range to be 761.882 ~ 956.693, 2430.308 ~ 2789.068, 974.052 ~ 1068.564, 1504.476 ~ 1554.626, 2796.783 ~ 3431.364, 3890.422 ~ 4000.364, 3805.554 ~ 4000.364, 761.882 ~ 819.747, 457.129 ~ 530.424 and 460.987 ~ 514.994 cm− 1, during which significantly high absorbance can be observed for No. 2 ~ No. 7 soybeans, but for No. 1 and No. 8 ~ No. 10 soybeans, we can observe significantly low absorbance. The results indicate that infrared spectroscopy coupled with metabolomics analysis is equal to origin traceability of soybeans, thus, it provides a novel and viable approach for the accurate and rapid discrimination of soybeans from different geographical origins.
Vertical niche differentiation of comammox Nitrospira in hydro-fluctuation zone soil of the Three Gorges Reservoir Region
Authors: Ding Hang , Zhou Mingzhi , Wang Yuchun , Hu Mingming , Wen Jie , Li Shanze , Bao Yufei , Zhao Jianwei 
Published: October 2022

Abstract
CMX NB can accomplish ammonia oxidation independently, and its niche differentiation holds a promise for its ecological and survival function. In this work, the vertical niche differentiation of comammox (CMX) Nitrospira bacteria (NB) was investigated in the soils of 6 hydro-fluctuation (HF) zones (both natural and artificial) in the Three Gorges Reservoir (TGR) Region. The results demonstrated that the level of clade A amoA was obviously reduced with the increasing soil depth in the natural HF zone and one of the artificial HF zones. However, in the other two artificial HF zones, the abundance of this gene was not dramatically reduced along the depth. The level of clade B amoA was not markedly decreased with the increasing soil depth in most HF zones, and remained stable in three HF zones. Total nitrogen had the most significant effect on the abundance of CMX NB. Clade A.1, A.2.1, A.2.2, A.3, and B of CMX NB co-occurred simultaneously in all HF zones. The number of operational taxonomic units (OTUs) of clade A in the two types of HF zones was first elevated and then reduced with the increasing depth, whereas the number of OTUs of clade B was continuously increased with depth in the artificial HF zone. pH and total carbon (TC), as environmental factors, affected the community structure of CMX NB. This study confirmed the vertical differentiation of the abundance and diversity of CMX NB in the HF zone of the TGR area, and the artificial restoration of the HF zone affected the niche differentiation of CMX NB to a certain degree.
Research on the redesign of China's intangible cultural heritage based on sustainable livelihood——the case of Luanzhou’s Shadow Puppetry Empowering its Rural Revitalization
Authors: Sun Li , Wang Zeyi , Li Jiangnan , Liu Weishang , Zhang Shuo , Wu Jiantao 
Published: October 2022

Abstract
Motivation：Rural revitalization is a development strategy proposed in 2017 to solve the issues relating to agriculture, rural areas and farmers in China, and the redesign of Intangible Cultural Heritage (ICH) with Chinese characteristics can maintain the sustainability of rural revitalization.
Purpose：This study attempts to construct a development framework for rural-based ICH redesign through the sustainable livelihood theory in order to realize rural revitalization.
Methodology: Taking Luanzhou Shadow Puppetry as an example, this study examines the factors that affect livelihood capital using questionnaires, investigates the hierarchy of cultural and design capital, and identifies effective design strategies to support the economic, social, and cultural development in rural areas.
Conclusions: The findings demonstrate how the development of ICH and rural rehabilitation can be facilitated by combining cultural capital with design capital. Such a combination is also applicable to the creative transformation of ICT resources in other villages, and can thus offer some insights to the study on rural revitalization
Prediction score for clinical outcome of Chinese patients with cerebral venous thrombosis
Authors: Li Min , Zhang Binlong , Xie Jiangbo , Meng Ran , Ji Xunming 
Published: October 2022

Abstract
Background: Despite a series of reported prognostic markers, there is no prediction score for clinical outcome of Chinese patients with cerebral venous thrombosis (CVT). This study is aimed to develop a CVT outcome score for Chinese.
Methods: The study sample came from CCC cohort, which is a multicenter study participated by 26 top tertiary hospitals in China Mainland. 170 CVT patients were prospectively recruited from January 2021 to May 2022. The potential prognostic markers were extracted from CCC database and analyzed.
Results: Age, diastolic blood pressure (DBP), neutrophil-to-lymphocyte ratio (NLR) and neuron specific enolase (NSE) were identified as prognostic markers for CVT after multivariate logistic analysis. Age > 27.5 years, DBP > 79.5mmHg, NLR > 6.6 and NSE >16.5 ng/ml were identified as cutoff values. One point was assigned to age and NSE, two points were assigned to DBP and three points were assigned to NLR based on adjusted odds ratio. CVT outcome score at baseline was positively correlated with mRS at 6 months of follow-up. CVT outcome score effectively predicted the clinical outcome of CVT with a cutoff value of 3.5. Further analysis showed that patients with CVT outcome score > 3 had significantly higher mRS than those with CVT outcome score ≤3.
Conclusions: CVT outcome score consists of age, DBP, NLR, and NSE for Chinese CVT patients was developed in this study. CVT outcome score at baseline positively correlated with mRS at 6 months of follow-up. CVT outcome score > 3 helps to identify CVT patients with high risk of poor clinical outcome and take early interventions to prevent deteriorations.