bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Hemadsorption in Critically Ill Patients with COVID-19 (CYTOCOV-19): A Prospective Randomized Controlled Pilot Trial
Authors: Jarczak Dominik , Roedl Kevin , Fischer Marlene , de Heer Geraldine , Burdelski Christoph , Frings Daniel Peter , Sensen Barbara , Boenisch Olaf , Tariparast Adel , Kluge Stefan , Nierhaus Axel 
Published: July 2021

Abstract
Purpose: Immunomodulatory therapies have shown beneficial effects in patients with severe COVID-19. Patients with hypercytokinemia might benefit from removal of inflammatory mediators via hemadsorption.Methods: Single-center prospective randomized trial at the University Medical Center Hamburg-Eppendorf (Germany). Patients with confirmed COVID-19, refractory shock (norepinephrine ≥0.2 μg/kg/min to maintain a mean arterial pressure ≥ 65 mmHg), IL-6≥500 ng/l and an indication for renal replacement therapy (RRT) or extracorporeal membrane oxygenation (ECMO) were included. Patients received either hemadsorption therapy (HT) or standard medical therapy (SMT). For HT, a CytoSorb® adsorber was used for up to 5 days and was replaced every 18–24 hours. The primary endpoint was sustained hemodynamic improvement (norepinephrine ≤0.05 µg/kg/min≥24h). Secondary endpoints included 28-day mortality, SOFA, and reduction of IL-6, PCT, and MR-proADM. Results: Of 242 screened patients, 24 were randomized and assigned to either HT (N=12) or SMT (N=12). Both groups had similar severity as assessed by SAPS II (median 75 points HT group vs. 79 SMT group, p=0.590) and SOFA (17 vs. 16, p=0.551). At randomization, 22 (92%) patients were on RRT and 11 (46%) had vv-ECMO. Median IL-6 levels were 2269 (IQR 948–3679) and 3747 (1301–5415) ng/l in the HT and SMT group at baseline, respectively (p=0.378). Serum IL-6 reduction in the first 24h of treatment compared between both groups was 83% vs. 46% (p=0.235). Shock resolution (primary endpoint) was reached in 33% (4/12) vs. 17% (2/12) in the HT and SMT group, respectively (p=0.640). 28-day mortality was 58% (7/12) in the HT compared to 67% (8/12) in the SMT group (p=1.0).Conclusion: HT was associated with a non-significant trend towards clinical improvement within the intervention period including reduction of IL-6 levels and shock resolution. In selected patients, HT might therefore be an option for stabilization and bridge to transfer and decision. (Trial registration: ClinicalTrials.gov: NCT04344080, https://clinicaltrials.gov/ct2/show/NCT04344080, trial registration date 04/14/2020)]
Incidence and Risk Factors for Urolithiasis Recurrence After Endourological Management of Kidney Stones: A Retrospective Single-Centre Study
Authors: Baowaidan Faris , Zugail Ahmed S. , Lyoubi Youssef , Culty Thibaut , Lebdai Souhil , Brassart Elena , Bigot Pierre , Azzouzi Abdel Rahmene 
Published: July 2021

Abstract
Purpose: Almost half of the patients have had recurrent nephrolithiasis despite undergoing effective treatment. Our objective is to determine the recurrence rate of lithiasis after endourological management of nephrolithiasis and identify the risk factors for these recurrences.Methods: Data were gathered retrospectively from all patients who were treated for nephrolithiasis by endourological management from May 2014 to January 2017 in our university hospital. All patients who had postoperative renal colic and/or stone upon an imaging study were considered to have recurrent disease. The patients were devised into two groups: with and without recurrence. Many variables were also compared between these two groups.Results: A total of 190 patients were included in our study. At the end of a median follow-up of 32 months (range, 13–61 months), 25.8% of patients had a recurrent stone. In the multivariate analysis, the risk factors for recurrence were diabetes (HR: 7.9; p <0.001) and smoking (HR: 3.5; p <0.029). While the body mass index greater than 25 kg/m2 (HR: 2; p <0.05) appears as a risk factor for recurrence only in the univariate analysis. However, age (HR: 0.96; p <0.003) and blood hypertension (HR: 0.37; p <0.027) were protective factors. The stone characteristics, urological history, and alcoholism had no apparent effect on stone recurrence.Conclusion: Stone recurrence is common after the management of urinary stones. In this study 25.8% of patients had recurred stone disease after endourological management with a median follow-up of 32 months. Our study findings showed that diabetes and smoking are risk factors for recurrence, while age and blood hypertension are protective factors that decreased the risk of recurrence.
Emotional Dysregulation And Quality of Life In Young Adults With ADHD- A Cross Sectional Study
Authors: Cohen Maayan Ben Dor , Eldar Eran , Maeir Adina , Nahun Mor 
Published: July 2021

Abstract
Objective: Attention Deficit Hyperactivity Disorder (ADHD) is associated with emotional dysregulation (ED) and impaired quality of life (QoL). However, the role of ED in explaining the relationship between ADHD and QoL is unclear. The purpose of the present study was to do so in a sample of non-referred young adults with and without ADHD.Method: The study design was cross-sectional. A non-clinical sample of 62 young adults with ADHD (mean age = 24.86 years, SD = 3.25) and 69 controls (mean age = 23.84 years, SD = 2.59) were recruited. The Adult ADHD Quality-of-Life scale was used to measure QoL; The Adult ADHD Self-Report Scale was used to measure ADHD symptoms. The Self-Report Wender-Reimherr Adult Attention Deficit Disorder Scale and the Difficulties in Emotion Regulation Scale were used to measure ED. Group differences on all measures were tested using univariate and multivariate analyses of covariance, while controlling for age. Univariate analyses of variance were conducted to investigate the possible effect of medication on all outcome measures in the ADHD group. Finally, a moderation analysis was used in order to examine the impact of ED on QoL beyond that accounted for by ADHD symptoms.Results: Both QoL and ED were significantly worse for the ADHD group compared to the control group. The medication status of the ADHD group participants had no significant effect on the level of ADHD symptoms, ED or QoL. ED moderated the effect of ADHD symptoms on QoL for the ADHD group.Conclusion: The findings support the centrality of ED in ADHD and its crucial influence on QoL. Young adults with ADHD and high levels of ED are at risk for aversive impact on their well-being regardless of their ADHD symptoms level.
Multi-fault Diagnosis of Rolling Bearing using Two-dimensional Feature Vector of WP-VMD and PSO-KELM Algorithm
Authors: jiang tingyu , Hong Sheng , Liu Hao 
Published: July 2021

Abstract
In order to achieve accurate fault diagnosis of rolling bearing under random noise, a new fault diagnosis method based on wavelet packet-variational mode decomposition (WP-VMD) and kernel extreme learning machine (KELM) optimized by particle swarm optimization (PSO) is proposed in this paper. Firstly, the time-frequency domain feature vectors of the original rolling bearing fault signals are effectively obtained by preprocessing of WMD and decomposition and reconstruction of VMD. Then, the extracted two-dimensional feature vector is input into the KELM neural network for fault identification, and combined with PSO, KELM parameters were optimized. The experimental results show that the proposed method can effectively diagnose the rolling bearing under random noise, with the features of fast speed, stable performance and high accuracy. By comparison, this paper obtains better accuracy and real-time performance with fewer features, which provides a simple and efficient solution for fault diagnosis of rolling bearings.
Substance Use Among Students of Arba Minch University, College of Medicine and Health Science; Prevalence, Associated Factors and Its Relation With Academic Performance, 2018: a Cros-sectional Study.
Authors: Hailu Meron , Alamirew Birhanu , Daniel Beniam 
Published: July 2021

Abstract
Background: Substance abuse has become the major health and health related behavioral problem worldwide. Substance related problems occur in most segments of most societies mainly in the youth. They result in decreased work and school performance, accidents, absenteeism, violent crime, and theft. The objective of this study was to assess the status of substance use and its effect on the academic performance among students of Arba Minch University, Ethiopia.Methods: Institution based cross-sectional study was conducted on 510 university students. Semi-structured, self-administered questionnaire was used to collect the desired information. Data was analyzed using SPSS V. 23 statistical software. Descriptive statistics, binary logistics regression and multinomial regression were employed. Independent sample t-test was also used to indicate the effect of substance use on academic performance.Results: The data was collected from 498 students making a response rate of 97.6%. The overall proportion of students with substance use was 21.3% and among them, the current prevalence was 79.2%. Being Male and having family member or a friend who uses substance were associated with substance use. The results show that, substance users have a lower mean CGPA than non-substance users.Conclusion: The study revealed the prevalence of substance use among the youth to be comparable with other studies conducted the country and that the problem is as worrisome as it is everywhere else. The findings also indicated a negative association between substance use and academic performance.
Posterior Corneal Elevation Changes and Characteristic Analysis 1 Year After Corneal Collagen Cross-Linking for Keratoconus
Authors: Li Jing , Wei Shengsheng , Zhang Yaohua , Yang Dan , Tian Zhen , Du Jing , Li Yong , Liu Jianguo , Wang Yan 
Published: July 2021

Abstract
Purpose: To investigate the changes in posterior corneal elevations (PCEs) in the circular areas and local points after corneal collagen cross-linking (CXL) for the treatment of keratoconus.Methods: Method 1 divided the cornea into 0–2, 2–4, 4–6, and 6–8 mm regions centering on the apex. Method 2 obtained other 34 PCE values of local point that were identified on the nasal, supra-nasal, sub-nasal, superior, inferior, temporal, supra-temporal, and sub-temporal sides of the circle with diameters of 2, 4, 6, and 8 mm, and the apex and thinnest point.Results: Method 1 showed a forward displacement of PCE at 1 month after CXL and then a backward displacement at 3 months. In Method 2, the points on the temporal side of 2 mm and 4 mm showed the same trend. The backward displacements of PCE on the temporal side of 2 mm at 6 months and on the temporal side of 4 mm at 12 months after CXL were both statistically different than those at 1 month after CXL (P < 0.05). The PCE of the thinnest point was correlated with other corneal points, except the points on the nasal and sub-nasal sides of 4 mm.Conclusion: The PCEs in circular areas and characteristic points of different diameters in keratoconic eyes after CXL change with time. Local point assessment of the PCE is more clinically significant. In points selected in different quadrants of the cornea, the change in temporal points was more significant after CXL.
Efficacy and Safety of Bevacizumab-Containing Therapy in Refractory Advanced Breast Cancer：A Retrospective Study
Authors: Lv Huimin , Niu Limin , Zhang Mengwei , Zeng Huiai , Zhao Shengnan , Wang Jing , Sun Huihui , Liu Zhenzhen , Yan Min 
Published: July 2021

Abstract
Background:Advanced breast cancer is difficult to treat due tothe primary and acquired resistance, which is the main cause of rescue treatment failure. Therefore, developing a new rescue treatment strategy for clinicians is a challenge.This study retrospectively collected the medical information of patients with refractory advanced breast cancer who were treated with bevacizumab in our department to analyze the efficacy and safety of bevacizumab-containing as a new treatment method for refractory advanced breast cancer.Methods: Complete medical information of patients receiving bevacizumab treatment from November 2017 to November 2020 was collected, and their general medical history and disease characteristics were analyzed. The objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), time to failure (TTF), overall survival (OS), and safety were analyzed using SPSS 20.0 statistical software.Results: A total of 68 women with refractory advanced breast cancer receiving bevacizumab-containing therapy were collected. The last follow-up was performed on March 31, 2021. The ORR was 41.2% and the DCR was 88.2%. The median PFS, TTF, and OS were 6.0 months (95% CI, 3.4~8.6 months), 4.0 months (95% CI, 3.2~4.8 months), and 26.6 months (95% CI, 10.2~43.0 months), respectively. In 2 patients, the treatment was discontinued because of chemo-related adverse reactions. The main adverse events related to bevacizumab were hypertension (7.4%) and bleeding (two cases, 2.9%), both of which were grade 1. No specific adverse events causing the discontinuation of bevacizumab treatment were observed in the remaining patients.Conclusion: Among patients with refractory advanced breast cancer, bevacizumab-containing therapyis feasible and safe, and can be used as a new treatment strategy.However, who can benefit the most from bevacizumab-containing therapy requires further exploration.
Parameter Identification for Discrete Memristive Chaotic Map using Adaptive Differential Evolution Algorithm
Authors: Peng Yuexi , He Shaobo , Sun Kehui 
Published: July 2021

Abstract
Since the concept of discrete memristor was proposed, more and more scholars began to study this topic. At present, most of the works on the discrete memristor are devoted to the mathematical modeling and circuit implementation, but the research on its synchronization control has not received much attention. This paper focuses on the parameter identification for the discrete memristive chaotic map, and a modified intelligent optimization algorithm named adaptive differential evolution algorithm is proposed. To deal with the complex behaviors of hyperchaos and coexisting attractors of the considered discrete memristive chaotic maps, the identification objective function adopts two special parts: time sequences and return maps. Numerical simulations demonstrate that the proposed algorithm has the best performance among the six existing algorithms, and it can still accurately identify the parameters of the original system under noise interference.
Influence of diets supplemented with naturally protected or unprotected eucalyptus oil on methane production and lactating buffalo productivity
Authors: Abo-Donia Fawzy Mohamed , Elaref Mohamed Youssif , Mahgoub Abd El-Moniem Ali Sayed , Deraz Tarek Abd El Wahab Ahmed , Nayel Usama Aboelez 
Published: July 2021

Abstract
This study aimed to investigate the effects of naturally protected eucalyptus oil supplementation in a form of leaves (EUL) or mature seed capsules (EUS) compared to crude eucalyptus oil (EUO). The control group (G1) received the basal diet consisting of concentrate feed mixture, fresh berseem, rice straw, and corn silage. The G2, G3, and G4 animals were fed the basal diet with a supplement of 200 g/head/day of EUL or EUS or 4 mL EUO, respectively. Supplementation with EUL or EUS increased NH3-N, SCFA, and acetic acid concentrations in-vitro. The total count of bacterial, protozoa and cellulolytic bacteria increased (P < 0.05) with EUL and EUS supplementation. Methane production lowered (P < 0.05) with EUS, EUL, and EUO supplementation. Milk fat decreased (P < 0.05) with EUO supplementation, while an adverse trend was shown for lactose. No differences in feed conversion were found among EUS, EUL, and EUO. Total protein, albumin, and blood urea increased (P < 0.05) with supplementation of EUL or EUS compared to EUO. EUO supplementation yielded increased (P < 0.05) AST, ALT, glucose, and creatinine. Supplementation with EUL, EUS, or EUO decreased (P < 0.05) DM, OM, and CP digestibility. While digestibility of EE with supplementation by EUL, EUS, or EUO was higher (P < 0.05). Digestibility of NDF and ADF decreased (P < 0.05) with supplemental EUL, EUS, or EUO compared to the control diet. Feeding EUS increased the values of TDN and DCP compared to EUL, which was higher than EUO. Our results confirm that the naturally protected form of leaves or seeds mitigates the negative effects of directly supplementing crude eucalyptus oil.
Nonlinear Characteristics of Three-parameter Fluid Viscous Damper with Considering of Principal Stiffness and Hydraulic Stiffness
Authors: Jiao Xiaolei , Zhang Jinxiu , Li Wenbo , Mu Jingjing 
Published: July 2021

Abstract
The three-parameter fluid viscous damper is used to isolate micro-vibration produced by control torque gyro (CMG) in satellite. In this paper, the damper is simplified by a single tube fluid viscous damper and two springs connected to the damping piston. With consideration of the principal stiffness of the bellows and the contraction and expansion effect of the damping orifice, the approximate analytical nonlinear model of the damper is established and verified by the computation fluid mechanics (CFD) method. Based on this analytical model, the displacement response of the damper and correction coefficient of hydraulic resistance are analyzed, the nonlinear characteristics in the frequency domain are also revealed. Furthermore, the energy consumptions of the nonlinear model and linear model are researched. The results show that the damper has an obvious amplitude at the first resonance peak, but not obvious at the second resonance peak. The vibration amplitude of the damping piston is only um level in the high-frequency domain. The correction coefficient of the hydraulic resistance at the resonance peak is much higher than other frequencies, which causes a significant nonlinear behavior. In addition, the energy consumption of the nonlinear model is larger than that of the linear model at the resonance peak, and the larger the resonance peak, the more obvious the phenomenon is. This means that the nonlinear damping can be used to further improve the suppression of the resonance peak of the three-parameter fluid viscous damper.
Universal Machine Learning Framework for Defect Predictions in Zinc Blende Semiconductors
Authors: Mannodi-Kanakkithodi Arun , Xiang Xiaofeng , Jacoby Laura , Biegaj Robert , Dunham Scott , Gamelin Daniel , Chan Maria 
Published: July 2021

Abstract
Point defects or impurities are either naturally present in semiconductors or may be intentionally introduced to tune their electronic and optical properties. The nature of impurity energy levels can strongly influence the performance of a semiconductor in applications ranging from solar cells to photodiodes to infrared sensors to qubits for quantum computing. In this work, we develop a framework powered by machine learning (ML) and high-throughput density functional theory (DFT) computations for the prediction and screening of functional impurities in group IV, III-V, and II-VI zinc blende semiconductors. Elements spanning the length and breadth of the periodic table are considered as impurity atoms at the cation, anion, or interstitial sites in supercells of 34 candidate semiconductors, leading to a chemical space of   12,000 points, 10% of which are used to generate a DFT dataset of charge dependent defect formation energies. Descriptors based on tabulated elemental properties, defect coordination environment, and relevant semiconductor properties are used to train ML regression models for the DFT computed properties, resulting in statistical predictions of the neutral state formation energies and charge transition levels of all possible impurities in the given set of compounds. Kernel ridge regression, Gaussian process regression, and neural networks, with appropriate feature selection and hyperparameter optimization, are seen to yield similar predictive performances and meaningful uncertainty estimates. We apply the ML framework to screen all impurities with lower formation energy than dominant native defects in all group IV, III-V, and II-VI zinc blende semiconductors. An online tool resulting from this work for predicting and visualizing defect properties in semiconductors is made available on github.
Regional Climate Model Emulator based on Deep Learning: Concept and First Evaluation of a Novel Hybrid Downscaling Approach
Authors: Doury Antoine , Somot Samuel , Gadat Sébastien , Ribes Aurélien , Corre Lola 
Published: July 2021

Abstract
Providing reliable information on climate change at local scale remains a challenge of first importance for impact studies and policymakers. Here, we propose a novel hybrid downscaling method combining the strengths of both empirical statistical downscaling methods and Regional Climate Models (RCMs). The aim of this tool is to enlarge the size of high-resolution RCM simulation ensembles at low cost.We build a statistical RCM-emulator by estimating the downscaling function included in the RCM. This framework allows us to learn the relationship between large-scale predictors and a local surface variable of interest over the RCM domain in present and future climate. Furthermore, the emulator relies on a neural network architecture, which grants computational efficiency. The RCM-emulator developed in this study is trained to produce daily maps of the near-surface temperature at the RCM resolution (12km). The emulator demonstrates an excellent ability to reproduce the complex spatial structure and daily variability simulated by the RCM and in particular the way the RCM refines locally the low-resolution climate patterns. Training in future climate appears to be a key feature of our emulator. Moreover, there is a huge computational benefit in running the emulator rather than the RCM, since training the emulator takes about 2 hours on GPU, and the prediction is nearly instantaneous. However, further work is needed to improve the way the RCM-emulator reproduces some of the temperature extremes, the intensity of climate change, and to extend the proposed methodology to different regions, GCMs, RCMs, and variables of interest.