bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a Custom NGS Panel for the Determination of Bladder Cancer Risk
Authors: Hemissi Imen , BOUSETTA SAMI , Dallali Hamza , Hellal Faycel , Durand Geoffroy , Voegele Catherine , AYED Haroun , Zaghbib Selim , Naimi Zeineb , Ayadi Mouna , Chebil Mohamed , Mckay James , Calvez-Klem Florence Le , Ouerhani Slah 
Published: August 2021

Abstract
BackgoundBladder cancer (BCa) is a heterogeneous disease caused by the interaction between environmental and genetic risk factors. The objective of this study was to design a panel that evaluates the role of some selected variants in BCa susceptibility. We are also interested in studying the interaction between environmental and genetic risk factors.MethodsThe case/controls cohort was composed with 249 BCa cases and 255 controls. The designed Bladder cancer hereditary panel (BCHP) is composed of 139 selected variants. These variants were genotyped by an amplification-based targeted Next-Generation Sequencing (NGS) on the Ion Torrent Proton sequencer (Life Technologies, Ion Torrent technology). ResultsWe have found that rs162555, rs2228000, rs10936599, rs710521, rs3752645, rs804276, rs4639, rs4881400 and rs288980 were significantly associated with decreased risk of bladder cancer. However the homozygous genotypes for VPS37C (rs7104333, A/A), MPG (rs1013358, C/C) genes or the heterozygous genotype for ARNT gene (rs1889740, rs2228099, rs2256355, rs2864873), GSTA4 (rs17614751) and APOBR/IL27 (rs17855750) were significantly associated with increased risk of bladder cancer development compared to reference group (OR=2.53, 2.34, 1.99, 2.00, 2.00, 1.47, 1.96 and 2.27 respectively). We have also found that non–smokers patients harboring heterozygous genotypes for ARNT/rs2864873 (A>G), ARNT/ rs1889740 (C>T) or GSTA4/rs17614751 (G to A) were respectively at 2.775, 3.069 and 6.608 –folds increased risk of Bca development compared to non-smokers controls with wild genotypes. Moreover the ARNT CT (rs1889740), ARNT CG (rs2228099), ARNT TC (rs2864873) and GSS GA genotypes were associated with an increased risk of BCa even in absence of professional risk factors. Finally the decision-tree analysis produced a three major BCa class. These three classes were essentially characterized by an intensity of tobacco use more than 20 pack years (PY) and the CYP1A2 (rs762551) genotype. ConclusionsThe determined association between genetic variations in BCa and environmental factors, as well as the effect of studied pathway SNPs in comparison with environmental exposition may provide urologists additional genetic information that may help for clinical assessment and treatment decisions. Nevertheless, the underlying mechanisms through which these genes or SNPs affect the clinical behavior of BCas require further studies.
Stage-Based Flood Inundation Mapping
Authors: Criss Robert E , Nelson David L. 
Published: August 2021

Abstract
New methods allow the direct computation of flood inundation maps from lidar data, independently of discharge estimates, hydraulic analysis, or defined cross sections. One method projects the interpolated profile of measured flood levels onto surrounding topography, creating a smooth inundation surface that is entirely based on data and geometrical relationships. A second method computes inundation maps for any simple function that relates the water surface to the elevation of the channel bottom, exploiting their known, sub-parallel character. A final method theoretically combines the elevation of the channel bottom and the upstream catchment area for points along the thalweg, all defined by lidar data. The conceptual simplicity and realism of these maps facilitate data-based planning.
Change of Functioning in Persons With Severe Musculoskeletal Injuries Over Time: A Multilevel Analysis
Authors: Usinger Jennifer , Kus Sandra , Simmel Stefan , Coenen Michaela 
Published: August 2021

Abstract
Background: The World Health Organization (WHO) recommends the WHO Disability Assessment Schedule (WHODAS) 2.0 as a generic assessment instrument to collect data on functioning and disability. The questionnaire was developed specifically to capture the activities and participation domain as defined by the International Classification of Functioning, Disability and Health (ICF). Evidence on the most relevant factors predicting WHODAS 2.0 outcome in the context of musculoskeletal injuries are controversial. This study aims to assess change in functioning of patients with severe musculoskeletal injuries undergoing inpatient rehabilitation over time.Methods: A longitudinal multicentre study was conducted, following up 571 participants with severe musculoskeletal injuries over the course of a first inpatient rehabilitation stay until 3 months after discharge. At admission, data on sociodemographic, health-related aspects, functioning and contextual factors were collected. WHODAS 2.0 assessed functioning. Data were analysed using a multilevel model approach.Results: The mean WHODAS 2.0 declined from admission to discharge and 3-month follow-up, indicating an improvement in functioning. Multilevel analyses revealed age, duration of inpatient rehabilitation, severity of the injury, injury localizations, number of comorbidities, emotional functioning, pain, being informed about the injury, subjective prognosis on return to work and agreement on treatment targets as factors influencing change in functioning over time.Conclusions: In a rehabilitation setting, a healthcare professional can promote an increase in functioning, for example, by ensuring that there are treatment targets defined and agreed on with the patient and that the patient feels sufficiently informed about the injury. The identified factors could potentially be used for a short screening at admission to rehabilitation to estimate the patient’s change of functioning over time. Trial registration number and date of registration: DRKS00014857; July 04, 2018.
The Occurrence of Work-related Fatigue and Job Satisfaction in Nursing Staff to the Quality of Care : A Cross-sectional Survey in North-East China
Authors: Bi XueJing , Zhang Qiao , Niu Jin-yu , Chen Chao-yi , Liu Ze , Ning Liang-wen , Ning Ning , Wu Qun-hong , Hao Yanhua , Liang Li-bo , Yong "Tai" Wang 
Published: August 2021

Abstract
BackgroundPoor quality of care would significantly increase adverse patient outcomes. Improving the quality of care is an urgent priority. The relationship between work-related fatigue and quality of care has not been systematically explored. This paper explores the occurrence of work-related fatigue, job satisfaction, and its relationship with quality of care.MethodsSelf-report questionnaires assessing work-related fatigue and job satisfaction were distributed among 1,299 nurses from 20 hospitals in North-Eastern China. Regression analysis was performed to assess the associations between work-related fatigue, job satisfaction, and quality of care. Mediate effect analysis was used to explore the mediating role of job satisfaction.ResultsApproximately 55% of nurses got moderate or severe work-related fatigue. The results from the t-test indicated that nurses with a high level of work-related fatigue were more prone to nursing errors. The mediation analysis showed that work-related fatigue indirectly affected the quality of care through job satisfaction (indirect effect: β 0.047, 95%Cl 0.040-0-054), while the direct effect was β 0.059, 95%Cl 0.050-0.068.ConclusionsThe present study concluded that more than half of the nurses surveyed were moderate to severe work-related fatigue. Nurses with a high level of work-related fatigue were likely to provide significantly more nursing errors. We confirmed that job satisfaction was a mediator for the relationship between work-related fatigue and quality of care. Therefore, hospitals managers and relevant management departments should consider work-related fatigue and job satisfaction among nurses to improve health services in the future.
Effect of Sintering Time on The Marginal and Internal Fit of Monolithic Zirconia Crowns Containing 3-4 Mol% Y2O3
Authors: Ozden Yunus Emre , Guncu M.Baris , Aktas Guliz , Canay Senay 
Published: August 2021

Abstract
Background

Short-time sintering may offer advantages including saving time and energy but there is limited evidence on the effect that altering sintering time has on the accuracy of monolithic zirconia crowns. The purpose of this in vitro study was to investigate the effect of shortened sintering time on the marginal and internal fit of 3Y-TZP (three mol% yttria-stabilized tetragonal zirconia polycrystal) and 4Y-TZP (four mol% yttria-stabilized tetragonal zirconia polycrystal) monolithic crowns.
Methods

Sixty monolithic zirconia crowns were fabricated for the maxillary first molar tooth on the prefabricated implant abutment. Groups were created according to the material composition: 3Y-TZP Generation 1 (alumina wt; ≤0.5%, < 15% cubic phase), 3Y-TZP Generation 2 (alumina wt; ≤0.05%, < 15% cubic phase) and 4Y-TZP (alumina wt; ≤0.05%, > 25% cubic phase). Two different sintering protocols were performed: same final sintering temperature (1500°C) and various rates of heating (10°C/min and 40°C/min), cooling down speed (-10°C/min and − 40°C/min), holding time (45 and 120 minutes), and total sintering time (approximately 2 and 7 hours, respectively). The marginal and internal fit of the crowns were determined using the silicone replica technique. Comparisons between groups and sintering times were analyzed using two-way ANOVA. Pairwise multiple comparisons were performed using the t-test (p < 0.05).
Results

The mean marginal gap values of 4Y-TZP zirconia revealed statistically significant increase for the speed sintering protocol (p < 0.0001), while no difference was observed between the sintering protocols for the mean marginal gap values of 3Y-TZP groups.
Conclusions

Although all groups showed clinically acceptable gap values (<120 µm), altering the sintering time had an effect on the marginal fit of the crowns manufactured from 4Y-TZP zirconia. Shortening the sintering time may lead to differences within clinically acceptable limits. The manufacturer's recommendations according to material composition should be implemented with care.
Linc-Pint Long Non‑Coding RNA Sponges miR‑7 and Regulates WNT Signaling Pathway in Breast Cancer Cells
Authors: Ranjbaran Zahra , Javanmard Amir-Reza , Esmaili Rezvan , Soltani Bahram M. 
Published: August 2021

Abstract
Several non-coding RNAs (ncRNAs) are known to regulate signaling pathways in breast cancer (BC) to date. Looking for the differentially expresses lncRNAs, first, RNAseq data analysis indicated that Linc-Pint (Loc646329) gene is downregulated in BC tissues. Consistently, RT-qPCR analysis confirmed its downregulation in BC specimens compared with normal pairs. Then, overexpression of Linc-Pint in MCF7 cells was followed by elevated APC, APC2, and Axin genes expression (all tumor suppressors of Wnt signaling), while c-Myc, CCND1 and CCND2 genes were downregulated, detected by RT-qPCR. Consistently, Top/Fop flash assay supported Linc-Pint suppressive effect on Wnt signaling in MCF7 cells. On the other hand, miR-7 was predicted to be sponged by Linc-Pint and clash-Seq data analysis supported their interaction. Furthermore, dual luciferase assay verified their interaction and consistently, overexpression of Linc-Pint ended in elevated expression level of TGFBR2 and IGF1R (as target genes of miR-7). Flow cytometry results indicated that Linc-Pint overexpression in MCF7 cells was followed by cell cycle arrest at G1 phase and scratch test assay supported its inhibitory effect on cell migration. Overall, our results indicated that Linc-Pint tumor suppressor attenuates Wnt signaling at least by sponging miR-7 in MCF7 cells. This makes Linc-Pint transcript as a potential new therapeutic target.
Fetal heart ultrasound image-oriented adaptive classification deep model based on differentiable architecture search
Authors: Zeng Xianhua , Zhang Yunjiu , Huang Wei 
Published: August 2021

Abstract
Prenatal ultrasound examination is used for screening congenital heart defects and fetal genetic diseases. Unfavorable factors such as low signal-to-noise ratio, artifact and poor fetal posture in ultrasound images make it a very complicated task to identify and interpret the standard scan plane of the fetal heart in prenatal ultrasound examinations. Deep learning related methods are widely used to process and analyze medical images. However, designing an effective network structure for a specific task is a time-consuming and relies on expert knowledge. In order to obtain an effective fetal ultrasound image classification model in a short time, this paper collects and organizes the Fetal Heart Standard Plane(FHSP) level III screening dataset, and we use the Differentiable Architecture Search(DARTS) method for FHSP classification task to automatically obtain an efficient adaptive classification deep model called Ultrasound Image Adaptive Classification model(UIAC) for assisting the diagnosis of fetal congenital heart disease. This new model is a deep neural network consisting of two automatically searched optimal blocks. Our UIAC model has fewer parameters than the mainstream manned classification networks. Moreover, it has achieved the best recognition results on the FHSP classification task: top1-accuracy 89.84%, macro-f1 89.72%, kappa score 88.82%.
Investigation on the Machinability of Metastable β Titanium Alloy M28
Authors: JIANG Yifan , Tian Hui , Yin Jia , Yang Yinfei , Zhao Guolong , Li Liang 
Published: August 2021

Abstract
Oriented to the application of new generation strategic aircraft, M28 (Ti-4Al-5Mo-5V-6Cr-1Nb) is a novel metastable β titanium alloy with outstanding strength. A better understanding of its machinability is the cornerstone of the manufacture. In this work, milling experiments were made with the uncoated WC-Co carbide insert to investigate its machinability. Compared with milling Ti-6Al-4V, the cutting force is much higher and the tool life is considerably shorter in the milling of M28, especially in the high-speed cutting. Serious edge breaking is found at normal cutting speed. While a continuous band of flank wear with significant chip adhesion, which covers comb cracks in the cutting edge, is found in the high-speed cutting tool. The machinability of M28 is considerably poorer than that of Ti-6Al-4V. The hard-to-machine performance of M28 is considered to be subject to the material property of the metastable β titanium alloy as well as the competing mechanism among work hardening, strain rate hardening and the thermal softening in the cutting. According to the detection of the scanning electron microscope (SEM) and the energy dispersive spectrometer (EDS), the diffusion of C and Co generates a negative influence on the cutting edge and accelerates the tool wear.
Prediction of Best Corrected Visual Acuity with Hard Contact Lenses for Keratoconus Patients
Authors: Magome Kazuyoshi , Morishige Naoyuki , Nagai Hirofumi , Ueno Akifumi , Matsui Takaaki , Uchio Eiichi 
Published: August 2021

Abstract
Background: To develop a prediction formula for best corrected visual acuity with hard contact lenses (HCL-BCVA) and to identify clinical factors linearly related to HCL-BCVA in keratoconus patients. Methods: This retrospective study examined clinical data derived from 198 eyes of 131 keratoconus patients. The subjects were divided into a development group (102 eyes of 68 subjects) and a validation group (96 eyes of 63 subjects) on the basis of the date of their examination. HCL-BCVA measurement and anterior segment–optical coherence tomography (AS-OCT) were performed. A prediction formula for HCL-BCVA based on AS-OCT measurements was then developed. Single regression analysis was performed to identify clinical factors linearly related to HCL-BCVA. Results: Stepwise multiple regression analysis yielded a prediction formula for HCL-BCVA in keratoconus patients, with the correlation coefficient of the multiple regression equation being 0.728 (R2 = 0.530) for the development group. Application of the prediction formula to the validation group yielded a correlation coefficient for the multiple regression equation of 0.641 (R2 = 0.411). Single regression analysis identified anterior corneal refractive power, posterior corneal refractive power, and high-order aberrations as factors that are linearly correlated with HCL-BCVA, with R values of 0.606, -0.617, and 0.506, respectively. Conclusion: HCL-BCVA in keratoconus patients was predictable on the basis of AS-OCT measurements. Cutoff values for clinical factors found to correlate with HCL-BCVA may prove informative with regard to treatment options to maintain a favorable visual acuity in keratoconus patients.
Asymmetric Spacer Junctionless GAA Nanowire FET for Continued Scaling
Authors: Vakkalak Bharath Sreenivasulu , Vadthiya Narendar 
Published: August 2021

Abstract
We demonstrate junctionless (JL) n-channel SOI nanowire FET with asymmetric spacer at nano regime. The impact of various spacer dielectrics on device performance is presented and various electrical characteristics are analyzed. The gate length (LG) scaling impact of the asymmetric spacer with various spacers on ION, IOFF, and ION/IOFF is analyzed. The device exhibits excellent electrical characteristics with SS = 64 mV/dec, DIBL = 45 mV/V, ION/IOFF = 106 even at 5 nm LG ensures better electrostatic integrity. From the result analysis it is noted that spacer plays a detrimental role in reducing OFF current (IOFF) at lower LG. Moreover, the power analysis on scaling with various spacer dielectrics is performed. The analog/RF performance is also performed and scaling feasibility with HfO2 spacer is presented. The result analysis ensures asymmetric JL nanowire FET is one of the possible options to continue scaling.
WITHDRAWN: Clinical Prognosis of Pericardial Effusion in COVID 19
Authors: Saraç İbrahim , Tonkaz Gökhan , Aksakal Emrah , Aydınyılmaz Faruk , Alişar Kaan , Aydın Sidar Şiyar , Gülcü Oktay , Kalkan Kamuran , Aydemir Selim , Doğan Remziye 
Published: August 2021

Abstract
Purpose
In our study, we investigated the relationship between pneumonia severity and pericardial effusion, predisposing factors and the effect of pericardial effusion on clinical prognosis and mortality in COVID-19 patients.
Methods
A total of 3794 patients who were diagnosed with COVID- 19 by polymerase chain reaction (PCR), were hospitalized between March 21 and November 30, 2020 were included in the study. For each of the 3794 patients, the initial chest CT images, pericardial efusion (PE), pleural efusion and pneumonia severity were evaluated.
Results
The mean age of patients with PE was higher and it was more common in males. Patients with PE had more comorbid diseases and significantly elevated serum cardiac and inflammatory biomarkers. In addition, the need for intensive care and mortality rates were higher in these patients. While the in-hospital mortality rate was 56.9% in patients with PE and AC involvement above 50%, in-hospital mortality rate was 34.4% in patients with AC involvement above 50% and without PE (p < 0.001).
Conclusions
In patients presenting with severe AC involvement on CT or being followed up with COVID-19 pneumonia, PE often accompanies the deterioration in the laboratories and clinics of the patients. The clinical prognosis in patients presenting with PE was quite poor, and the frequency of intensive care admissions and mortality were significantly higher. In conclusion, in our study, PE emerged as an important finding in the follow-up and management of patients with COVID-19 and reflects the clinical prognosis.
The Role of Ferritin in Assessing COVID-19 Severity
Authors: Polushin Yu. S. , Shlyk I. V. , Gavrilova E. G. , Parshin E. V. , Ginzburg A. M. 
Published: August 2021

Ferritin is one of the biomarkers requiring special attention; its blood level increases significantly especially in the severe course of COVID-19. Information on the effect of hyperferritinemia on the disease outcome is very contradictory as are the ideas about the causes of its development.The objective: to study the effect of hyperferritinemia on the disease outcome and analyse the possible causes of its development in severe COVID-19.Subjects and Methods. Data on 479 patients with severe course of coronavirus infection treated in intensive care units (ICU) were retrospectively analyzed. Of them, the proportion of patients with a favorable outcome (Group 1) was 51.0% (n = 241), and with an unfavorable outcome (Group 2) - 49.0% (n = 235). The following parameters were assessed: the levels of ferritin, C-reactive protein, fibrinogen, IL-6, IL-10, IL-18, procalcitonin, complement C5a, total, direct and indirect bilirubin, ALT, AST, and the blood level of lactate dehydrogenase (LDH). The changes of erythrocyte count and hemoglobin blood level were also monitored. In order to form a clear view of iron metabolism, free iron, transferrin, and myoglobin levels were assessed in several patients with high ferritin values (more than 1,500 pg/L).Results. In the unfavorable outcome, ferritin levels increase very significantly, reaching maximum by day 6 of patients' stay in ICU. The difference in the level of ferritin between the groups of survivors and deceased during this period is clear and significant (p = 0.0013). The association of ferritin values with the outcome is detected as early as day 1, but by day 4 it becomes highly significant (the cut-off point is 1,080 pg/l). No data have been obtained that would indicate the association of hyperferritinemia with impaired iron metabolism, the development of hepatic dysfunction, or cellular destruction. In contrast to survivors, those who died on day 6 had elevated IL-6 while C5a level remained unchanged. Conclusions. The rapid increase in ferritin blood levels to 1,000 pg/L or higher is an unfavorable prognostic sign indicating a high probability of a lethal outcome. When assessing genesis of hyperferritinemia in COVID-19, the crucial significance should be attributed to the cytokine storm rather than disorders of iron metabolism or hemotoxic effects of the virus. The persistent increase of ferritin level in blood during 4-6 days of stay in ICU should be considered as a reason to intensify anticytokine therapy.
Predictors of Death in Severe New Coronavirus Infection in Children
Authors: Аleksandrovich Yu. S. , Prometnoy D. V. , Mironov P. I. , Pshenisnov K. V. , Anchutin P. E. , Teplyakova E. D. 
Published: August 2021

Currently, in pandemic settings, the new coronavirus infection is the leading cause of adult fatalities and may cause death of children with comorbidities.The objective of the study is to identify predictors of the fatality of the new coronavirus infection in children.Subjects and Methods. 230 patients with the new coronavirus infections were examined. The main group of 94 patients with severe COVID-19, the fatal outcome occurred in 25 (26.6%) children. The comparison group consisted of 126 children with a moderate degree of severity, and there were no lethal outcomes.Results. Children older than 10 years of age (43%) prevailed in the study cohort. Every fifth patient in the main group suffered from shock, and 79 (84%) children had failure of two or more systems/organs. The presence of pronounced manifestations of the disease was associated with a 20-fold increase in the probability of a severe course of COVID-19 (OR = 0.04). Involvement of two organs and systems doubled the risk of death. An acceptable discriminatory ability of the pSOFA score for predicting COVID-19 outcomes in children was identified: sensitivity 83%, specificity 61%, cut-off point 5.6 points.Conclusion. Predictors of death in severe new coronavirus infection in children include failure of two or more organs and systems, acute renal injury and the pSOFA score above 5.