bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oxycodone vs. tramadol in postoperative parent-controlled intravenous analgesia in children: a prospective, randomized, double-blinded, multiple-center clinical trial
Authors: Li Siyuan , Xiong Hongfei , Jia Yingping , Li Zhengchen , Chen Yexi , Zhong Liang , Liu Feng , Qu Shuangquan , Du Zhen , Wang Yuxia , Huang Suxia , Zhao Yonghui , Liu Jing , Jiang Lihua 
Published: May 2022

Abstract
Background: Acute postoperative pain management in pediatric patients is one of the major challenges for anesthesiologist. Oxycodone has shown superior effects in both postoperative somatic and visceral pain relief in adult patients after surgery. However, limited studies have investigated the administration of oxycodone for pain relief in children after surgery. We therefore test the hypothesis that oxycodone can provide adequate postoperative pain relief in children with parent-controlled intravenous analgesia (PCIA). The secondary outcomes included the incidence of major adverse complications and parents’ satisfaction.Methods: This is a prospective, randomized, double-blinded, multiple-center clinical trial. Children patients undergoing elective surgery under general anesthesia were randomly allocated to the tramadol & oxycodone groups. Tramadol (1.0mg/kg) or oxycodone (0.1mg/kg) was administrated at the end of surgery, followed by PCIA without background infusion. A fixed bolus dose of 0.5mg/kg and 0.05mg/kg was set to tramadol and oxycodone-PCIA, respectively. The lockout time of 10 mins was set to all patients. Results: Both tramadol and oxycodone-PCIA provided well postoperative pain control (FLACC<4) in post anesthesia care unit (PACU) and in the wards, and no alterative rescue analgesia requirement was needed. There was no difference in the FLACC scores and bolus does demand in the PACU, length between the first bolus dose and the discharge from PACU, analgesic drug consumption, bolus times, function activity score or parents’ satisfaction scores between tramadol and oxycodone group in the wards (P>0.05). The major adverse effects in both groups were nausea & vomiting, but there was no difference in the incidence either in the PACU or in the wards (p>0.05). Patients in oxycodone groups showed milder sedation levels and a shorter stay in the PACU when compared with the tramadol group (P<005). Conclusions：Oxycodone can provide an adequate postoperative analgesia in children, with mild side effects. Oxycodone can be an alternative choice for postoperative pain relief for children patients.Trial registration: The study was registered at www.chictr.org.cn (Registration number: ChiCTR1800016372; Date of first registration: 28/05/2018).
Bacteriophages in Wastewater Treatment: Can They Be an Approach to Optimize the Anammox-based Processes?
Authors: Bolsan Alice Chiapetti , Rodrigues Heloisa Campeão , Abilhôa Hélen Caroline Zonta , Hollas Camila Ester , Venturin Bruno , Gabiatti Naiana Cristine , Bortoli Marcelo , Kunz Airton , De Prá Marina Celant 
Published: May 2022

Abstract
In this paper, we explore the applications of bacteriophages and the advantages of using these viruses to elucidate the possibility of applying them to control substrate competition organisms in anammox-based processes. The partial nitrification/anammox offers economic and structural advantages compared to conventional nitrogen removal processes. However, the appearance of substrate competing bacteria is typical, as is the case of nitrite-oxidizing bacteria (NOB), which tend to grow unrestrainedly in the system, converting all ammonia to nitrate, globally impacting the system once substrate availability is compromised. Thus, control measures to prevent this substrate competition are vital for process efficiency. We used a literature review depicting the main applications of bacteriophages in wastewater treatment plants. Initial studies demonstrated bacteriophages have great potential to be applied in anammox-based processes, such as partial nitrification/anammox (PN/A) acting to combat NOB, a valuable economic and environmental tool to improve the efficiency of nitrogen removal processes. Although these viruses have already been studied in various applications to optimize treatment plant processes, technology transfer remains a challenge due to the limitations of the technique and the complexity of biological systems. The research development focused on application strategies in conjunction with molecular biology techniques can expand this study area, enabling the discovery of bacteria and bacteriophages.
The optimization method of wing ice shape regulation based on flight dynamics characteristics
Authors: Dou PengFei , Li ZHE , Dong ZE Hong , XIE LI-KE 
Published: May 2022

Abstract
Ice on aircraft wing leads to the destruction of aerodynamic characteristics ,dynamic characteristics and flight quality, seriously threatening flight safety. Plasma ice shape regulation is a new type of de/anti-icing method, which rapidly dissolves ice accretion to intermittent ice through the thermal effect .How to realize the optimal regulation ice shape on the premise of balancing flight safety and energy consumption is a technical problem restricting plasma anti-icing methods. The typical 3D simulation ice shape was built according to the results of previous ice wind tunnel experiments and ice accretion laws of swept wings. The aerodynamic parameters under no ice, two kinds of regulation ice shape and full ice were obtained based on wind tunnel. Six degrees of freedom flight dynamics model was established. The dynamic characteristics, flight quality was comparative analyzed. More comparing and analyzing two de-icing schemes, the scheme for ice width to average aerodynamic chord length ratio at 0.15 had a better effect. A comparison method of plasma ice shape regulation scheme based on aerodynamic characteristics, dynamic characteristics and flight quality evaluation is proposed. The proposed method can provide reference for reasonable design of de-icing scheme.
Statistical Analyses of Pore Radii on the Performance of PET-nanocomposite Membranes in the Removal of Iron and Anions F Rom Ibeshe River
Authors: Agboola Oluranti , Khalih Ajibola Ademola , Oladokun Olagoke , Ayeni Augustine Omoniyi , Chukwudubem Frederick Uzokwe , Odunlami Olayemi , Elehinafe Francis , Yahaya Abdulrazaq , Moropeng Lucey 
Published: May 2022

Abstract
Ibese watershed has been experiencing lower water quality due to industrialization. Polyethylene terephthalate (PET)-graphene oxide (GO) nanocomposite membranes (M1, M2 and M3) synthesized by non-solvent-induced phase separation on polyester nonwoven support using polyethylene glycol (PEG) as additive was reported. The membranes (M1, M2 and M3) were respectively synthesized with 1wt%, 2wt% and 3wt% GO. The morphology of the membranes was characterized by scanning electron microscopy (SEM). ImageJ software was used to study the pore size distribution of the membranes. Python was use for the statistical study using the uniform distribution curve and mean and the results show that the radius data distribution is tightly clustered around the mean. The adsorption performance of composite membranes was examined for the removal of ions from the river water. The membranes were assessed through flux, adsorption capacity and the rejection of iron and anions found in Ibese river water. M3 membrane gave higher rejection rate for the three anions and iron. The % rejection of nitrate ion with M3 membrane is 96%, 85%%, 72% and 60% respectively for NO3−, Cl−, HCO3− and Fe. Increase in the quantity of GO increased water flux and the maximum water flux was attained with 3wt% GO.
Research on precision modeling method of CNC machine tool with full space accurately based on big data
Authors: Zhang Lin , Chen Guohua , Zhang Xiuqin , Li Bo , Yan Qing , Zhao Dianzhang 
Published: May 2022

Abstract
Through analyzing the installation method of laser interferometer measurement aids and the planning of measurement path, a direct measurement method of the error data of the feature points in the whole space of the machine tool is proposed according to the principle of laser interferometry. On this basis, a spatial interpolation algorithm is used to calculating the precision of quasi-feature points based on the error data of 8 vertices (that is feature points) of the small cube in machine tool space.The error data of a small cube has been increased from 8 to 125，which provides a large amount of sample data for the full-space precision modeling of machine tool. Finally, after obtaining the full-space feature points and quasi-feature point accuracy data of the machine tool, a neural network prediction model of machine tool full-space precision is established.Example application verification shows that the prediction precision exceeds 94%.
Utilization of Youth Friendly Health Services and Associated Factors: A Community- Based Analytical Cross-Sectional Study Among Young People in The Tamale Metropolis
Authors: Awuah Vivian , Apiung Gifty , Konlaan Boinkum 
Published: May 2022

Abstract
BackgroundPremarital sexual activities among the youth have been on the rise globally in recent years. However, the awareness level and patronage of youth-friendly sexual and reproductive health service centres are low. The purpose of this study was to evaluate young people's knowledge level, their attitude, access and the utilization of youth-friendly health services (YFHS) in the Tamale Metropolis, in the northern region of Ghana. MethodsAbout 420 young people aged between 14-and 24 years were conveniently recruited from the Tamale Metropolis in northern Ghana. A Likert scale was used to assess the knowledge level and attitude variables towards youth-friendly health services. To determine the correlation between the relevant characteristics and attitudes toward youth-friendly health services, the logit model and the Chi-square statistics were applied. Finally, Kendall's coefficient of concordance (W) was used to establish the most important component that influenced the access and utilization of youth-friendly health services in this sample. Results The knowledge level about YFHS among respondents was low (69%). Furthermore, the majority (71%) of the respondents in this study had a negative attitude towards YFHS. Additionally, 63% of the respondents reported that they have never been to the YFHS centre before. The study also found that the most important hinder when determining whether or not to visit a YFHS was the cost element of the service (p=0.00) while religion was the least important factor affecting both access and utilization of youth-friendly health services with a p-value of (p=0.00).ConclusionThe majority of young people had low knowledge of YFHS, poor attitudes toward YFHS and most of them never visited any YFHS centres. The findings suggest the need for duty bearers in the Tamale Metropolis to scale-up education about the youth-friendly health service centres among the youth to bridge the knowledge gap. The cost of patronising YFHS centres could also be subsidised (if possible, made cost-free) to promote access and utilization of the centres among the youth in the Tamale Metropolis.
Examining the rural-urban divide in predisposing, enabling, and need factors of unsafe abortion in India using Anderson's behavioral model
Authors: Rahaman Margubur , Das Puja , Chouhan Pradip , Das Kailash Chandra 
Published: May 2022

Abstract
Background: Rural India experienced a high frequency of unsafe abortions; therefore more research is needed to understand the regional patterns and socio-demographic factors of unsafe abortion by place of residence. The present study aims to explore the predisposing, enabling, and need factors of unsafe abortion in India. Methods: In the National Family Health Survey, 2015-16, women aged 15–49 who had their last pregnancy terminated by induced abortion during the five years prior to the survey (N = 9113) were included in the study. The present study computed the rural-urban divide in percentage of unsafe abortions by respondents’ background characteristics. Predisposing, enabling, and need factors for unsafe abortion in India by place of residence were investigated using multivariate logistic regression models. Results: In India, 27.3% of responders performed unsafe abortions out of 9113 induced abortions in 2015-16. Furthermore, the rural-urban divide was found to be considerable (7.2%), particularly among women aged 35-39 (15%). In terms of predisposing factors, there was a substantial difference in adjusted odds of unsafe abortions across the regions, with the risk of unsafe abortions being much higher in the urban eastern region (aOR:5.90, 95% CI:3.96,8.80) compared to the urban south region. In India, the likelihood of unsafe abortions increased with decreasing age, regardless of where the woman lived. In rural settings, women with an uneducated spouse are more likely to have unsafe abortions (aOR:1.92 CI:1.27,2.90). In India, poor households were more likely to undergo unsafe abortions, whereas it was found more likely in rural settings (aOR:1.26 95% CI:1.10,1.50). Similarly, SCs/STs more likely performed unsafe abortion in rural settings. In both rural and India, unmet need for family planning was revealed to be a significant need factor for unsafe abortion.Conclusion: Despite the fact that abortion is legal, India's high estimated frequency of unsafe abortion reveals a serious public health issue. Large numbers of women are at risk of unsafe abortion due to socioeconomic vulnerability, unmet family planning needs, and a lack of awareness.
Self-Compacting Concrete with Copper Slag as Fine Aggregate-Experimental Study
Authors: Yarramsetty Bala Balaji , M. Hema Bhargavi , M. Swaroopa Rani 
Published: May 2022

Abstract
Self-compacting concrete, which can flow by its own weight and occupy all gaps and restricted regions of the formwork without any external or internal vibrations, is one of the most significant discoveries in concrete science. Workability and mechanical properties such as compressive strength, split tensile strength, and flexural strength were investigated using M30 grade self-compacting concrete with 20% class C fly ash mineral admixture and fine aggregate with copper slag in proportions of 0, 20, 40, 60, and 80% in this paper. This mix % also includes two chemical admixtures, Auramix 200 and Conplast SP430. Adding fly ash to the paste, according to the observations, improves volume while also improving workability. In terms of compressive strength, copper slag at 60% yielded good results. The greatest results for split tensile and flexural strength were obtained when up to 40% of the fine aggregate was substituted with copper slag. When compared to the nominal mix, compressive strength improved by 15.18 percent, split tensile strength increased by 12.9 percent, and flexural strength increased by 18.8 percent at 28 days.
PKIB regulates tamoxifen resistance in estrogen receptor-positive breast cancer through inhibition of autophagy
Authors: SUN LU , ZONG BEIGE , LI FEI , QIAO YINA , JIN TING , WANG YIHUA , ZHANG YINGZI , JIN YUDI , Liu Shengchun , QU FANLI 
Published: May 2022

Abstract
Tamoxifen is a first-line adjuvant endocrine drug used in the treatment of patients with estrogen receptor (ER)-positive breast cancer. The drug’s therapeutic benefit is limited by the development of resistance due to alterations in autophagy function. In this study, the role of the cAMP-dependent protein kinase inhibitor-β (PKIB) in autophagy and the development of tamoxifen-resistant breast cancer were evaluated. Expression of PKIB was assessed by RTq-PCR, Western blot analysis, and immunohistochemistry (IHC) in tamoxifen-resistant and sensitive breast cancer cell lines and clinical samples. Knockdown and overexpression of PKIB were used to determine the sensitivity to tamoxifen in vitro and the status of autophagy. Further, immunofluorescence and Western blot analysis were used to explore the tamoxifen resistance mechanism of PKIB. CREB/ATG7 signaling activation was evaluated after knocking down of PKIB in MCF7 and T47D cells. The level of PKIB expression was upregulated in the tamoxifen-sensitive breast cancer cell lines (MCF7 and T47D) and in primary tumor tissues. Knock down of PKIB decreased the sensitivity to tamoxifen both in vitro and in vivo, and significantly enhanced the autophagy level in the tamoxifen-sensitive cell lines. In contrast, overexpression of PKIB inhibited autophagy and restore tamoxifen sensitivity in tamoxifen-resistant cells. Moreover, an increase in p-CREB and ATG7 protein expression levels were observed in MCF7/si2-PKIB and T47D/si2-PKIB cells by Western blot. Finally, Kaplan-Meier curve analysis also indicated that the high level of PKIB predicts a good prognosis in breast cancer. Overall, our findings demonstrated that PKIB suppresses CREB/ATG7 activation and subsequent autophagy which could contributes to tamoxifen resistance in breast cancer.
Design and Investigation of Double Gate Field Effect Transistor Based H2 Gas Sensor Using Ultra-Thin Molybdenum Disulfide
Authors: Karmakar Ananya , De Arpan , Sen Dipanjan , Chanda Manash 
Published: May 2022

Abstract
In this article, a low-power hydrogen (H 2 ) gas sensor has been proposed using a two-dimensional (2D) material based Double Gate Field Effect Transistor (2D-FET). It is imperative to highlight that the conventional threedimensional (3D) materials cannot be scaled down to an ultra-low dimension due to the presence of dangling bonds, surface roughness scattering etc. This creates a major challenge in developing low-dimensional sensors for next generation sensing and computing. In this context, we have developed an extensive simulation model, which articulates the physical phenomena behind a catalytic metal gate-based hydrogen gas sensor using a 2D-FET. A 5 nm thin Molybdenum disulfide (MoS 2 ) film has been used as the channel material for the proposed 2D-FET based gas sensor. The sensor has been modelled by emphasizing on the catalytic metal (Palladium) gate approach, where the work function of the gate metal deposited on top of the channel region varies after the absorption of the hydrogen gas. Moreover, the Technology Computer Aided Design (TCAD) based gas sensor model has been developed by considering a change in the pressure of H 2 gas as well. We have also highlighted the effect of Metal/MoS 2 contact on sensor performance. In terms of results, a maximum threshold voltage (V th ) shift of 100 mV has been obtained against a gas pressure of 10 -10 torr, whereas the maximum percentage of change in I ON /I OFF is 100.
Massive Virtual screening and evaluation of small molecule inhibitors of the Papain-like protease of SARS-CoV-2
Authors: Osorio Manuel I. , Yañez Osvaldo , Gallardo Mauricio , García-Beltrán Olimpo , González-Nilo Fernando , Pérez-Donoso José M. 
Published: May 2022

Abstract
With the rapid emergence and spread of new variants of coronavirus type 2 causing acute respiratory syndrome, it is necessary to search for new pharmacological treatments for the disease, especially for patients infected by the new and more aggressive variants of the virus. In the present work, we selected from the PubChem database, ~ 18,000 compounds with similar structure to GRL0617, a papain-like protease inhibitor of SARS-CoV-2. Then, based on the ligand efficacy index obtained by molecular docking, the 500 compounds with higher affinity than GRL0617 for the protease were evaluated. Finally, the seven compounds with ADME parameters within the acceptable range for such a drug were selected. Then, 200 ns molecular dynamics simulation studies, ∆G calculations using Molecular mechanics with generalized Born and surface area solvation, and quantum mechanical calculations were performed with the selected compounds. Using this In Silico protocol, seven papain-like protease inhibitors are proposed: three compounds with binding free energy like GRL0617 (D28, D04 and D59), three compounds with binding free energy higher than GRL0617 (D60, D99 and D06) and one compound (D24) that could bind to the ubiquitin binding region and reduce the effect on the host immune system. The proposed compounds could be used in in vitro tests, and the described protocol could be used for intelligent drug design.
Improving the estimation of thermospheric neutral density via two-step assimilation of in-situ neutral density into a numerical model
Authors: Corbin Armin , Kusche Jürgen 
Published: May 2022

Abstract
Neutral thermospheric density is an essential quantity required for precise orbit determination of satellites, collision avoidance of satellites, re-entry prediction of satellites or space debris, and satellite lifetime assessments. Empirical models of the thermosphere fail to provide sufficient estimates of neutral thermospheric density along the orbits of satellites by reason of approximations, assumptions and a limited temporal resolution. At high solar activity these estimates can be off by 70% when comparing to observations at 12 hourly averages. Nowadays, neutral density is regularly observed with satellite accelerometers on board of low Earth orbiting satellites like CHAMP, GOCE, GRACE, GRACE-FO, or Swarm. When assimilating such along-track information into global models of thermosphere-ionosphere dynamics, it has been often observed that only a very local subdomain of the model grid around the satellite’s position is updated. To extend the impact to the entire model domain we suggest a new two-step approach: We use accelerometer derived neutral densities from the CHAMP mission in a first step to calibrate an empirical thermosphere density model (NRLMSIS 2.0). In a second step, we assimilate—for the first time—densities predicted for a regular three dimensional grid into the TIE-GCM (Thermosphere Ionosphere Electrodynamics General Circulation Model). Data assimilation is performed using the Local Error-Subspace Transform Kalman Filter provided by the Parallel Data Assimilation Framework (PDAF). We test the new approach using a two week long period containing the 5 April 2010 Geomagnetic storm. Accelerometer derived neutral densities from the GRACE mission are used for additional evaluation. We demonstrate that the two-step approach globally improves the simulation of thermospheric density. We were not able to improve the density prediction at altitudes higher than about 350 km, but we could significantly improve the predication at the altitude of CHAMP. In fact, the offset between the accelerometer derived densities and the model prediction is reduced by two orders of magnitude when applying the two-step approach. The implication is that our approach allows one to much better ’transplant’ the precise CHAMP thermospheric density measurements to satellites flying at a similar altitude.