bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hyökkäyssodan kannatus Venäjällä
Authors: Mitikka Eemil 
Published: January 2023

Venäjän aloitettua hyökkäyssodan Ukrainaan helmikuussa 2022 sekä tiedotusvälineissä että asiantuntijapiireissä on pohdittu Venäjän kansan hyväksyntää ja tukea sodalle. Sekä valtiolliset että valtiosta riippumattomat ja oppositioon kytkeytyvät kyselytutkimukset raportoivat pian hyökkäyssodan alettua selvän enemmistön venäläisistä kannattavan sotaa. Sotakyselyt ovat herättäneet keskustelua siitä, kuinka luotettavina indikaattoreina niitä voidaan pitää. Kritiikin mukaan esimerkiksi venäläisten sotakyselyiden suuren vastauskadon takia niiden todistusvoima on mitätön, kun taas osa näkee niiden osoittavan selvästi enemmistön venäläisistä tukevan sotaa. Tässä artikkelissa esitetyn tutkimuksen perusteella kumpikin edeltävistä näkökulmista on liian yksinkertaistava. Tutkimuksen pääargumentti on, että rajoitteistaan huolimatta sotakyselyistä voidaan tehdä tärkeitä ja poliittisesti relevantteja havaintoja. Korkean vastauskadon (matalat vastausprosentit, korkeat keskeytysprosentit) takia on kuitenkin relevantimpaa analysoida sodan kannatukseen liittyvien muuttujien välisiä suhteita kuin käyttää sotakyselyitä sodan ”yleiskannatuksen” mittareina. Tutkimus tarkastelee erityisesti sosiodemografisten taustatekijöiden, mediakulutuksen ja taloudellisten asenteiden yhteyttä sodan kannatukseen Venäjällä. Vaikka tarkastelu rajoittuu näihin muuttujiin, voi tutkimuksen lähestymistapaa soveltaa myös muun tyyppisiin tutkimuskysymyksiin analysoitaessa sotakyselyitä vastaisuudessa.
After Russia’s full-scale invasion of Ukraine in February 2022, the media and experts have been considering the approval and support for the war among the Russian population. Governmental, state-independent and oppositional surveys reported quickly that the clear majority of Russians support the war. These war surveys have raised discussion about how reliable they can be considered as indicators of war support. For example, according to some critiques, the high non-response in these surveys suggests that their value as evidence is negligible, while some see that they clearly show how the majority of Russians support the war. The research conducted for this article presents that both of the aforementioned viewpoints are too simplistic. The main argument of this research is that, in spite of their limitations, it is possible to draw important and politically relevant insights from the Russian war surveys. However, because of the high non-response rates (low response and completion rates), it is more relevant to analyse the relationships between the variables affecting the war support, than to use these surveys as indicators of “overall support” for the war. This article examines in particular how sociodemographic background factors, media consumption and economic attitudes relate to war support in Russia. Although the examination is limited to these variables, the approach of the research can be applied to other kinds of research questions in analysing war surveys in future.
4D-flow MRI derived wall shear stress for the risk stratification of bicuspid aortic valve aortopathy: A systematic review
Authors: Qin Jiaxing Jason , Obeidy Peyman , Gok Mustafa , Gholipour Alireza , Grieve Stuart M. 
Published: January 2023

PurposeCurrent intervention guidelines for bicuspid aortic valve (BAV) associated ascending aorta (AAo) dilatation are suboptimal predictors of clinical outcome. There is growing interest in identifying better biomarkers such as wall shear stress (WSS) to help risk stratify BAV aortopathy. The aim of the systematic review is to synthesize existing evidence of the relationship between WSS and aortopathy in the BAV population.MethodsA comprehensive literature search of available major databases was performed in May 2022 to include studies that used four-dimensional flow cardiac magnetic resonance (4D-flow) MRI to quantify WSS in the AAo in adult BAV populations. Summary results and statistical analysis were provided for key numerical results. A narrative summary was provided to assess similarities between studies.ResultsA total of 26 studies that satisfied selection criteria and quality assessment were included in the review. The presence of BAV resulted in significantly elevated WSS magnitude and circumferential WSS, but not axial WSS. The presence of aortic stenosis had additional impact on WSS and flow alterations. BAV phenotypes were associated with different WSS distributions and flow profiles. Altered protein expression in the AAo wall associated with WSS supported the contribution of altered hemodynamics to aortopathy in addition to genetic factors.ConclusionWSS has the potential to be a valid biomarker for BAV aortopathy. Future work would benefit from larger study cohorts with longitudinal evaluations to further characterize WSS association with aortopathy, mortality, and morbidities.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022337077, identifier CRD42022337077.
SMS-based digital health intervention in Rwanda's home-based care program for remote management of COVID-19 cases and contacts: A qualitative study of sustainability and scalability
Authors: Babili Abdulaa , Nsanzimana Sabin , Rwagasore Edson , Lester Richard T. 
Published: January 2023

BackgroundCOVID-19 pandemic resulted in unprecedented global health challenges. Rwanda identified its first COVID-19 case on March 14, 2020 and subsequently introduced Home-Base Care (HBC) Program in August 2020 following community transmission of the virus and to alleviate logistical and financial strain on the healthcare system. Cases and contacts eligible for HBC were remotely supported by WelTel, an SMS-based mHealth intervention that was successfully implemented before for HIV epidemic in Rwanda. Enrolled cases and contacts were supported and monitored dailyviatheir cell and/or mobile phones until they complete isolation/quarantine period. This study explored the rationale, perspectives, and experiences of key informants (KIs) during the implementation WelTel's mHealth tool for HBC in Rwanda.MethodsSemi-structured one-on-one virtual interviews were conducted with KIs in this qualitative study. The KIs were classified into 2 major categories: (A) Senior staff including policymakers, directors, and senior managers; (B) Technical teams including case managers, and other staff supporting the implementation of WelTel (e.g., IT staff). Interviews were audio-recorded, transcribed, and analyzed in NVivo. Thematic analysis was conducted using a hybrid approach. A topic guide was developed using the Modified Consolidated Framework for Implementation Research and feedback from local stakeholders.Results7 KIs were interviewed. Five themes emerged following thematic analysis including: SMS-Based mHealth for Home-Isolation; Facilitators for Intervention Adoption; Barriers for Intervention Adoption; Infection prevention and control for Home-Isolation; and SMS-Based mHealth for Future Pandemics and Epidemics. Based on interviews, strong political commitment and advanced digital infrastructure were major facilitators for adopting WelTel for HBC. A major barrier to adopting WelTel was identified as technical-based issues. This was followed by local communication culture. All participates agreed on the significance of using WelTel to improve access and adherence to infection prevention and control measures, understand transmission dynamics, and inform public health decision-making regarding HBC.ConclusionsRwanda successfully adopted WelTel for supporting and monitoring COVID-19 cases and contacts in home-isolation and the implementation was instrumental to the country's effort to manage the pandemic. Experiences and perspectives of cases and contacts enrolled into WelTel must be explored to understand the appropriateness and effectiveness of the intervention.
Layout timing of mining roadways considering goaf and roof stability
Authors: Yuan Fang , Tang Jianxin , Kong Lingrui , Li Cheng 
Published: January 2023

Reasonable roadway layout timing can effectively reduce the deformation of the rock surrounding the roadway and relieve mining and excavation tension. To analyze the mine pressure behavior of the gob-side entry at the edge of a goaf and the roof stability along the strike direction in the middle of a goaf, field observations and particle flow discrete element numerical simulation (PFC) method were performed. The results showed that deformation of the surrounding rock mainly occurred because of roof-to-floor convergence, caused mainly by floor heave. The mechanical behaviors of the rock mass, such as elasticity, fracture, and post-peak softening, could be simulated using the model of a jointed rock mass generated by rigid block elements in the PFC method. Considering the length of the violent and reduced roof activity zones and the activity duration as the indices to determine the basic stability of the goaf, the basic stability distance of the tested goaf edge was 135 m after coal seam mining, and the basic stability time was 27 days. The basic stable distance in the middle of the goaf was 183.4 m after coal seam mining, and the basic stability time was 37 days.
Enhancing classification of preterm-term birth using continuous wavelet transform and entropy-based methods of electrohysterogram signals
Authors: Romero-Morales Héctor , Muñoz-Montes de Oca Jenny Noemí , Mora-Martínez Rodrigo , Mina-Paz Yecid , Reyes-Lagos José Javier 
Published: January 2023

IntroductionDespite vast research, premature birth's electrophysiological mechanisms are not fully understood. Prediction of preterm birth contributes to child survival by providing timely and skilled care to both mother and child. Electrohysterography is an affordable, noninvasive technique that has been highly sensitive in diagnosing preterm labor. This study aimed to choose the more appropriate combination of characteristics, such as electrode channel and bandwidth, as well as those linear, time-frequency, and nonlinear features of the electrohysterogram (EHG) for predicting preterm birth using classifiers.MethodsWe analyzed two open-access datasets of 30 minutes of EHG obtained in regular checkups of women around 31 weeks of pregnancy who experienced premature labor (P) and term labor (T). The current approach filtered the raw EHGs in three relevant frequency subbands (0.3–1 Hz, 1–2 Hz, and 2–3Hz). The EHG time series were then segmented to create 120-second windows, from which individual characteristics were calculated. The linear, time-frequency, and nonlinear indices of EHG of each combination (channel-filter) were fed to different classifiers using feature selection techniques. ResultsThe best performance, i.e., 88.52% accuracy, 83.83% sensitivity, and 93.22% specificity, was obtained in the 2–3 Hz bands using Medium Frequency, Continuous Wavelet Transform (CWT), and entropy-based indices. Interestingly, CWT features were significantly different in all filter-channel combinations. The proposed study uses small samples of EHG signals to diagnose preterm birth accurately, showing their potential application in the clinical environment.DiscussionOur results suggest that CWT and novel entropy-based features of EHG could be suitable descriptors for analyzing and understanding the complex nature of preterm labor mechanisms.
A mixed-method evaluation of the relationship between Oxford classification scores and longitudinal changes in proteinuria in patients with immunoglobulin A nephropathy
Authors: Xu Ri-Cong , Guo Jian-Ying , Cao Tao , Xu Yi , Liao Ying , Chen Yu-Na , Song Hai-Ying , Chen Xiao-Jie , Guan Mi-Jie , Tang Fei , Xiang Qiong , Chen Xing-Lin , Wan Qi-Jun 
Published: January 2023

IntroductionThis study aimed to investigate the relationship between Oxford Classification scores and longitudinal changes in proteinuria in patients with immunoglobulin A nephropathy (IgAN).MethodsThe study was a single-center retrospective cohort study involving 358 patients with primary IgAN who were treated at the Shenzhen Second People’s Hospital, China, between January 2011 and May 2021. Multivariate linear regression and generalized additive mixed models (GAMMs), adjusted for traditional risk confounders, were used to evaluate the correlation between scores for mesangial hypercellularity (M), endocapillary hypercellularity (E), segmental glomerulosclerosis (S), tubular atrophy/interstitial fibrosis (T), and crescents (C) (known as the Oxford Classification MEST-C score system), with proteinuria/creatinine ratio (PCR) at the time of renal biopsy and longitudinal changes in PCR, respectively.ResultsThe median PCR was 1061 mg/g, and it increased on average by 68.82 mg/g per year in these patients. Among patients with renal insufficiency, compared with patients without relative lesions, those with E present (E1) (1153.44; 95% confidence interval [CI], 188.99–2117.89 mg/g) and C &gt; 0 (C1/2) (1063.58; 95% CI, 185.25–1941.90 mg/g) were associated with increased PCR levels at the time of renal biopsy. What’s more, S present (S1) (194.96; 95% CI, 54.50–335.43 mg/g per year) was associated with the fastest PCR increase; C &gt; 0 (C1/2) (147.59; 95% CI, 8.32–286.86 mg/g per year) and T &gt;25% (T1/2) (77.04; 95% CI, 7.18–146.89 mg/g per year), were also correlated with a faster PCR increase. In patients with normal kidney function, associations between S1 (55.46; 95% CI, 8.93–101.99 mg/g per year) and E1 (94.02; 95% CI, 21.47–166.58 mg/g per year) and PCR change could be observed. Additionally, in patients with overweight/obesity, S1 (156.09; 95% CI, 52.41–259.77 mg/g per year), E1 (143.34; 95% CI, 35.30–251.38 mg/g per year), T1/2 (116.04; 95% CI, 22.58–209.51 mg/g per year), as well as C1/2 (134.03; 95% CI, 41.73–226.32 mg/g per year) were associated with noticeably quicker PCR increase.ConclusionsOverall, E1 and C1/2 were independently associated with raised proteinuria levels at the time of renal biopsy, and S1, E1, T1/2, C1/2 were independently associated with a longitudinal increase in proteinuria in the patients with IgAN, especially in those with renal insufficiency or overweight/obesity, suggesting that currently available treatments might not be satisfactory, and weight control might be beneficial. Individual therapy development might benefit from the use of the Oxford Classification system.
Enhancement of water quality index prediction using support vector machine with sensitivity analysis
Authors: Mamat Naeimah , Mohd Razali Siti Fatin , Hamzah Fatimah Bibi 
Published: January 2023

For more than 25 years, the Department of Environment (DOE) of Malaysia has implemented a water quality index (WQI) that uses six key water quality parameters: dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), pH, ammoniacal nitrogen (AN), and suspended solids (SS). Water quality analysis is an essential component of water resources management that must be properly managed to prevent ecological damage from pollution and to ensure compliance with environmental regulations. This increases the need to define an efficient method for WQI analysis. One of the major challenges with the current calculation of the WQI is that it requires a series of sub-index calculations that are time consuming, complex, and prone to error. In addition, the WQI cannot be calculated if one or more water quality parameters are missing. In this study, the optimization method of WQI was developed to address the complexity of the current process. The potential of data-driven modeling, i.e., Support Vector Machine (SVM) based on Nu-Radial basis function with 10-fold cross-validation, was developed and explored to improve the prediction of WQI in Langat watershed. A thorough sensitivity analysis under six scenarios was also conducted to determine the efficiency of the model in WQI prediction. In the first scenario, the model SVM-WQI showed exceptional ability to replicate the DOE-WQI and obtained statistical results at a very high level (correlation coefficient, r &gt; 0.95, Nash Sutcliffe efficiency, NSE &gt;0.88, Willmott’s index of agreement, WI &gt; 0.96). In the second scenario, the modeling process showed that the WQI can be estimated without any of the six parameters. It can be seen that the parameter DO is the most important factor in determining the WQI. The pH is the factor that affects the WQI the least. Moreover, scenarios three to six show the efficiency of the model in terms of time and cost by minimizing the number of variables in the input combination of the model (r &gt; 0.6, NSE &gt;0.5 (good), WI &gt; 0.7 (very good)). In summary, the model will greatly improve and accelerate data-driven decision making in water quality management by making data more accessible and attractive without human intervention.
A five-pseudouridylation-associated-LncRNA classifier for primary prostate cancer prognosis prediction
Authors: Zheng Pengxiang , Long Zining , Gao Anding , Lu Jianming , Wang Shuo , Zhong Chuanfan , Lai Houhua , Guo Yufei , Wang Ke , Fang Chen , Mao Xiangming 
Published: January 2023

Background: Prostate cancer (PCa) is one of the most common cancers in males around the globe, and about one-third of patients with localized PCa will experience biochemical recurrence (BCR) after radical prostatectomy or radiation therapy. Reportedly, a proportion of patients with BCR had a poor prognosis. Cumulative studies have shown that RNA modifications participate in the cancer-related transcriptome, but the role of pseudouridylation occurring in lncRNAs in PCa remains opaque.Methods: Spearman correlation analysis and univariate Cox regression were utilized to determine pseudouridylation-related lncRNAs with prognostic value in PCa. Prognostic pseudouridylation-related lncRNAs were included in the LASSO (least absolute shrinkage and selection operator) regression algorithm to develop a predictive model. KM (Kaplan-Meier) survival analysis and ROC (receiver operating characteristic) curves were applied to validate the constructed model. A battery of biological cell assays was conducted to confirm the cancer-promoting effects of RP11-468E2.5 in the model.Results: A classifier containing five pseudouridine-related lncRNAs was developed to stratify PCa patients on BCR and named the “ψ-lnc score.” KM survival analysis showed patients in the high ψ-lnc score group experienced BCR more than those in the low ψ-lnc score group. ROC curves demonstrated that ψ-lnc score outperformed other clinical indicators in BCR prediction. An external dataset, GSE54460, was utilized to validate the predictive model’s efficacy and authenticity. A ceRNA (competitive endogenous RNA) network was constructed to explore the model’s potential molecular functions and was annotated through GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analyses. RP11-468E2.5 was picked for further investigation, including pan-cancer analysis and experimental validation. Preliminarily, RP11-468E2.5 was confirmed as a tumor promoter.Conclusion: We provide some evidence that pseudouridylation in lncRNA played a role in the development of PCa and propose a novel prognostic classifier for clinical practice.
Perioperative corticosteroid treatment impairs tumor-infiltrating dendritic cells in patients with newly diagnosed adult-type diffuse gliomas
Authors: Carenza Claudia , Franzese Sara , Castagna Alessandra , Terzoli Sara , Simonelli Matteo , Persico Pasquale , Bello Lorenzo , Nibali Marco Conti , Pessina Federico , Kunderfranco Paolo , Peano Clelia , Balin Simone , Mikulak Joanna , Calcaterra Francesca , Bonecchi Raffaella , Savino Benedetta , Locati Massimo , Della Bella Silvia , Mavilio Domenico 
Published: January 2023

IntroductionAdult-type diffuse gliomas are malignant primary brain tumors characterized by very poor prognosis. Dendritic cells (DCs) are key in priming antitumor effector functions in cancer, but their role in gliomas remains poorly understood.MethodsIn this study, we characterized tumor-infiltrating DCs (TIDCs) in adult patients with newly diagnosed diffuse gliomas by using multi-parametric flow cytometry and single-cell RNA sequencing.ResultsWe demonstrated that different subsets of DCs are present in the glioma microenvironment, whereas they are absent in cancer-free brain parenchyma. The largest cluster of TIDCs was characterized by a transcriptomic profile suggestive of severe functional impairment. Patients undergoing perioperative corticosteroid treatment showed a significant reduction of conventional DC1s, the DC subset with key functions in antitumor immunity. They also showed phenotypic and transcriptional evidence of a more severe functional impairment of TIDCs.DiscussionOverall, the results of this study indicate that functionally impaired DCs are recruited in the glioma microenvironment. They are severely affected by dexamethasone administration, suggesting that the detrimental effects of corticosteroids on DCs may represent one of the mechanisms contributing to the already reported negative prognostic impact of steroids on glioma patient survival.
Optimization of heat treatment program and effect of heat treatment on microstructure and flexural strength of micro-nano-Li2Si2O5 whisker-reinforced glass-ceramics
Authors: He Wenli , Yao Chengliang , Zhao Zihan , Rong Cunren , Zhang Yanjie , Li Bing , Wu Xiuping 
Published: January 2023

Lithium disilicate (Li2Si2O5, referred as LD) glass ceramics with unique aesthetic properties are ideal dental restorative materials. However, their applications are limited due to the lower flexural strength than polycrystalline ceramics. Herein, micro-nano-LD whiskers were utilized to facilitate the formation of crystallization sites and further growth of crystals in SiO2-Li2O glasses during the heat treatment process. Meanwhile, an orthogonal experiment with four-factor three-level was designed, and the optimum heat treatment conditions for preparing LD glass-ceramics with excellent flexural strength were found. The order of influencing extent of heat treatment conditions is crystallization temperature &gt; crystallization time &gt; nucleation temperature &gt; nucleation time. In addition, the crystallization behavior, phase formation, microstructure and flexural strength of glass were measured at different heat treatment temperatures. Remarkably, the optimal LD glass-ceramics sample has a strong flexural strength at 342 MPa, in which plentiful crystal grains with uniform and dense distribution are observed. These results indicate that micro-nano-LD whisker-reinforced glass-ceramics obtained by optimized heat treatment program offer a potential candidate for dental applications.