bluuebunny/crossref_metadata_2025_split huggingface dataset:
Circ_0001174 Facilitates Osteosarcoma Cell Proliferation, Migration, and Invasion by Targeting the miR-186-5p/MACC1 Axis
Authors: Wang Qingyu , Lin Feifei , Wang Xiaonan , Zhao Xin , Ren Min , Wang Jincheng 
Published: January 2022

Abstract
Background. Studies of aberrantly expressed circular RNAs (circRNAs) can provide insights into the molecular mechanisms of osteosarcoma (OS). However, the role of circ_0001174 in OS progression remains unknown. The study was conducted to identify differentially expressed circRNAs and mRNAs in patients with OS and to investigate potential regulatory ways of circ_0001174.Methods. High-throughput sequencing was performed to screen aberrantly expressed circRNAs and mRNAs between tumor and paracancerous tissues from patients with OS. Several bioinformatics tools were used to analyze the functions and pathways of the differentially expressed genes between the tissues. Cell counting kit-8, cell migration, and invasion assays were performed to evaluate the functions of the critical circRNAs. RNA interference experiments, quantitative real-time polymerase chain reaction (RT-qPCR) and western blotting were used to explore the roles of the circRNAs and mRNAs in OS.Results. Compared with the paracancerous tissues, 109 circRNAs and 1264 mRNAs were differentially expressed in the OS tissues, including 88 circRNAs and 707 mRNAs that were upregulated and 21 circRNAs and 557 mRNAs that were downregulated. The expression of four upregulated and four downregulated circRNAs was validated using RT-qPCR; the results were consistent with the sequencing data, and circ_0001174 was found to be significantly upregulated in 16 pairs of OS tissues and OS cell lines (fold change >2.0, P value<0.05). Knockdown of circ_0001174 inhibited the proliferation, migration, and invasion of OS cells. Additionally, circ_0001174 directly and negatively modulated the expression of miR-186-5p and positively regulated the expression of metastasis-associated in colon cancer 1 (MACC1).Conclusions. Abnormally high expression of circ_0001174 may promote the proliferation, migration, and invasion of OS cells by targeting the miR-186-5p/MACC1 axis. These results provide insight into therapeutic targets for preventing and treating OS.
CO2 Electrolysis via Surface-Engineering Electrografted Pyridines on Silver Catalysts
Authors: Burdyny Thomas , Abdinejad Maryam , Irtem Erdem , Farzi Amirhossein , Sassenburg Mark , Subramanian Siddhartha , Montfort Hugo-Pieter Iglesias van , Ripepi Davide , Li Mengran , Middelkoop Joost , Seifitokaldani Ali 
Published: January 2022

Abstract
The electrochemical reduction of carbon dioxide (CO2) to value-added materials has received considerable attention. Both bulk transition metal catalysts, and molecular catalysts affixed to conductive non-catalytic solid supports, represents a promising approach towards electroreduction of CO2. Here, we report a combined silver (Ag) and pyridine catalyst through a green and irreversible electrografting process, which demonstrates enhanced CO2 conversion versus the individual counterparts. We find by tailoring the pyridine carbon chain length, a 200 mV shift in the onset potential is obtainable compared to the bare silver electrode. A 10-fold activity enhancement at -0.7 V vs RHE is then observed with demonstratable higher partial current densities for CO indicating a co-catalytic effect is attainable through the integration of the two different catalytic structures. We extended performance to a flow cell operating at 150 mA/cm2, demonstrating the approach’s potential for substantial adaption with various transition metals as supports, and electrografted molecular co-catalysts.
Effect of Boron-based Gel on Postpartum Episiotomy Wound Healing in Primiparous Pregnant Women
Authors: Gül Derya Kanza , MERCAN Yeliz 
Published: January 2022

Abstract
Objective: The present study aimed to determine the effects of boron-based gel on episiotomy wound healing and episiotomy pain in primiparous women.Method: This retrospective study included 450 primiparous women who had a normal delivery with episiotomy at Private Nisa Hospital between January 2019 and March 2020. The participants were grouped as 150 women who used the Boron-Based Gel on the postpartum episiotomy site (cases-1), 150 women who used Beta Chlorhexidine Gel (cases-2), and 150 women who refused treatment or did not use any topical gel (controls). Wound healing status was evaluated on days 2, 5-7, and 10-14 after birth along with Redness, Edema, Ecchymosis, Discharge with Approximation (REEDA) Scale and the pain levels felt in the episiotomy area were evaluated using the Visual Analog Scale (VAS).Results: No statistically significant differences were detected between the three groups in terms of age and other variables (p>0.05). The mean scores of VAS and REEDA on days 2, 5-7, and 10-14 after birth were significantly different in the Boron-Based Gel Group compared to Chlorhexidine Gel and control group (p<0.001).Conclusion: It was found that the use of Boron-Based Gel increased episiotomy wound healing and reduced pain at significant levels.
Terrestrial nutrient exports and environmental changes explain eutrophication trends in fifty large lakes of Yangtze Plain, China
Authors: Guan Qi , Tang Jing , Feng Lian , Olin Stefan , Schurgers Guy 
Published: January 2022

Abstract
Over the past two decades, lakes in Yangtze Plain have suffered from serious eutrophication, in some regions with increased frequency of cyanobacteria blooms over years. In this study, we investigated the underlying causes of eutrophication using a combination of process-based ecosystem modelling and statistical data analysis. We found that terrestrial nutrient exports with runoff have significantly increased from 1979 to 2018 in Yangtze Plain, directly linked to the enhanced usage of chemical fertilizer for crops. Based on statistical analyses of environmental variables, terrestrial nutrient exports and satellite-observed probability of eutrophication occurrence (PEO), we separated the studied fifty lakes into five classes with similarities in environmental and nutrient variations, and attributed key factors in controlling the temporal changes of PEO. The results showed that the satellite-observed PEO trends in five classes could be largely linked to the terrestrial nutrient exports and environmental changes. Specifically, we found agricultural activities can explain the observed eutrophication trends in western lakes where lake catchments are dominated with arable and natural land, and the reduced discharge of industrial wastewater was found to be linked to the declining trends in eutrophication for eastern lakes where the green growth of industrialization were promoted from 2003 to 2011. These findings highlight the importance of sustainable management of agriculture and industrialization to overcome eutrophication issues in this region.
A bi-objective green closed-loop supply chain with retailer's location and possibility allocating vertices by probabilistic customers
Authors: Keramatlou Omid , Javadian Nikbakhsh , Didehkhani Hosein , Amirkhan Mohammad 
Published: January 2022

Abstract
The closed-loop supply chain networks include the return processes and the producers aim to capture additional values by considering further integration of all supply chain activities. In this paper, a closed-loop supply chain is modeled to obtain the best allocation and location of retailers including production and distribution centers, the warehouse of manufactured products, retailers' centers, probabilistic customers, collection, repair, and disposal centers so that the amount of environmental pollution and CO2 emissions by taking into account the conversion of CO2 to O2 in vehicles’ gas converters, is minimized. In this research, two strategies are considered to find the best places for retailers by focusing on 1- the type of expected movement (Rectangular, Euclidean, Euclidean Square, and Chebyshev); 2- expected coverage (distance and time). To this end, a bi-objective nonlinear programming model is proposed. This model concurrently compares strategies 1 and 2 and selects the best competitor. Based on the selected strategy, the best allocation is made by employing a heuristic algorithm and the locations of the best retailers are determined. As the proposed model is NP-hard in the nature of the problem, a meta-heuristics, namely, non-dominated sorting genetic algorithm is employed for the solution process. Eventually, to authenticate and confirm the effectiveness of the suggested model, a numerical example is given and solved utilizing optimization software, and the results are analyzed.
Epidemiology and Prognostic Nomogram for Esophageal Cancer With Liver Metastasis Based on the Surveillance, Epidemiology, and End Results Database
Authors: Xiang Zhenfei , Xiong Huacai , Hu Danfei , Li Mingyao , Chen Tian , Jiang Wei 
Published: January 2022

Abstract
Background: The prognosis of esophageal cancer with liver metastasis (ECLM) is poor. This study evaluated the incidence and prognostic factors of ECLM at initial diagnosis and developed a visual nomogram to predict outcomes. Methods: 1892 eligible ECLM patients diagnosed between 2010 and 2016 were extracted from the Surveillance, Epidemiology, and End Results database (SEER). The incidence, patient overall survival (OS), and prognosis of liver metastasis were evaluated according to patient information, tumor characteristics, and therapy. Cox regression analyses were applied to evaluate prognostic factors. Based on the significant demographic and clinicopathologic factors, a novel visual nomogram was established to predict 6-month and 1-year survival for ECLM patients. Results: The incidence of ECLM increased with age, but survival rates showed the opposite trend. From 2010 to 2016, as age increased, the incidence also increased annually, peaking at age 70 to 79 years and then decreasing. The 1-, 3-, 6-, 9- and 12-month relative cancer survival rates for ECLM patients were 84.6%, 61.3%, 44.0%, 31.4%, and 21.8%, respectively. Multivariate cox regression analysis revealed that age, gender, grade, histological type, bone metastasis, lung metastasis, brain metastasis, chemotherapy and local treatment were independent prognostic factors related to OS. Moreover, our nomogram predicted the 6-month and 1-year survival times of the population, with a C-index of 0.735 (95% CI: 0.723-0.748). The nomogram demonstrated good clinical applicability. Conclusions: The incidence of ECLM increased with age, but survival rates showed the opposite trend. Age, gender, tumor characteristics, and therapy should be considered when predicting the prognosis of ECLM patients. The nomogram may improve clinicians’ abilities to predict individual survival and recommend treatments for ECLM patients.
Engraftment and proliferation of thermoreversible-gelation-polymer-encapsulated human corneal limbal-stem-cells on ocular surface of a cadaver cornea
Authors: Senthilkumar Rajappa , Yoshioka Hiroshi , Katoh Shojiro , Iwasaki Masaru , Prakash Vaddi Surya , Balamurugan Madasamy , Dedeepiya Vidyasagar Devaprasad , Preethy Senthilkumar ,   Samuel JK Abraham2
Published: January 2022

Abstract

Corneal limbal stem cell (LSC) transplantation is a standard approach to treating corneal epithelial diseases. Scaffolds such as human amniotic membrane (hAM) are commonly employed for the in vitro culture and as a carrier for in vivo transplantation. However, they carry the risk of biological contamination. We have earlier reported a thermoreversible gelation polymer (TGP) scaffold to support the in vitro culture of human LSC and the transplantation in a rabbit animal model. We herein report the capabilities of the TGP scaffold to serve as an encapsulation support during transplantation and to enable engraftment for corneal regeneration. The results showed that TGP allowed human-donor cornea-derived LSCs to proliferate well in vitro, compared to hAM and the cells encapsulated in TGP and transplanted in vitro onto a human cadaver donor cornea denuded of its epithelium, migrated on the ocular surface to cover it almost totally, and proliferated to form a continuous layer in 25 days. Immunofluorescence staining of TGP-cultured cells was positive for LSC markers (p63, ABCG2, Connexin 43 and Integrin β), proving that the TGP helps to preserve the limbal cells’ stemness. TGP is found to be a multipurpose scaffold for (i) in vitro culture, (ii) in vivo encapsulation, and transplantation (iii), enabling engraftment of LSCs in this study, with potentials to extend its application in cell-based therapies in several regenerative medicine approaches.
Normal coronary myocardial infarction due to COVID-19: A case series
Authors: Kazemi Erfan , Gheshlaghi Mehran , Mansoursamaei Ali , Homatash Saba , Sheibani Hossein 
Published: January 2022

Abstract
Background: The prevalence of cardiovascular complications in COVID-19 infection varied in different studies. One of these complications is myocardial infarction. A disturbance of the blood supply can lead to myocardial infarction by clot formation in the arteries. However, no evidence of significant coronary stenosis has been found in more than 50% of patients with COVID-19 and ST elevation.Case Presentation: 38 and 49 years old men (patients 1,2) were admitted to our hospital with the complaint of typical chest pain and COVID-19 symptoms. The real-Time Polymerase Chain Reaction (RT-PCR) test confirmed COVID-19 in both. Patient 1 represented inferior posterior ST-Elevation Myocardial Infarction (STEMI) in his electrocardiogram (ECG). Also, patient 2 has ST-elevation in high lateral and septal leads (I, AVL, V1, V2) and ST-segment depression in AVR and inferior leads (III, AVF). Their troponin was positive. The vital signs were normal in both of them. Patient 2 just had a history of aortic valve replacement (AVR) 5 years ago. However, Patient 1 had no medical history. Transthoracic Echocardiography (TTE) data demonstrated some disturbances in patient 1 Severe hypokinesia of Inferior, Posterior, Lateral, and Septal walls. However, TTE data were unremarkable for patient 2. We prescribed recommended medications for them. Therefore, their ECG changes were corrected, and his condition improved. In addition, Coronary angiography was done that demonstrated patent and normal coronary arteries in both of them.Conclusion: COVID-19 infection can cause normal coronary arteries myocardial infarction with probable two mechanisms prolonged vasospasm or intraluminal coronary thrombogenesis.
Exposure Knowledge Impact on Regional Seismic Risk Assessment of Bridge Portfolios
Authors: Abarcaa Andres , Monteiro Ricardo , O’Reillya Gerard J. 
Published: January 2022

Abstract
The lack of structural information on existing bridges is a common problem faced by engineers when performing regional seismic risk assessment of large bridge portfolios. In most regions, the bridge inventory is composed of structures built over decades and detailed structural information of the existing configurations is difficult to obtain and can be expensive to survey. Most of the regional risk studies for bridges are done with incomplete exposure knowledge and usually rely on macro taxonomy-based approaches that average fragility information of assets with similar configurations. This leads to an unknown level of uncertainty in the results that is commonly not quantified or accurately communicated to the stakeholders. Accordingly, there is a need for a better understanding on how much uncertainty can be expected in results using such approaches, as well as for recommendations to those dealing with this type of project to define an appropriate required minimum knowledge of the inventory to obtain reasonable results. In this study, the seismic risk assessment of a portfolio of 617 bridges with complete structural information was performed and its results were used as a benchmark to quantify the expected uncertainty when considering different knowledge levels using a taxonomy-based approach as well as a machine learning model. The obtained results suggest that having detailed information on at least one third of the portfolio leads to a considerable reduction in uncertainty and that machine learning models can outperform traditional taxonomy-based methodologies only when a considerable level of knowledge of the inventory is available.
Varicella Zoster Precipitating a case of Covid-19 Myelitis
Authors: Verma Rajesh , Chakraborty Rajarshi , DB Keerthiraj 
Published: January 2022

Abstract
Covid-19 disease has plethora of clinical manifestations. There have been certain viral coinfection and presence of autoimmunity in Covid-19 disease. The predominant neurological manifestations of Covid-19 disease reported are encephalopathy, anosmia, headache, bell’s palsy, Guillain barre syndrome, acute transverse myelitis, acute demyelinating encephalomyelitis and strokes. In this illustration we presented an 11-year-old girl suffering from Covid-19 illness, presented with acute transverse myelitis along with Varicella-zoster co-infection substantiated by cerebrospinal fluid PCR positivity. There is a scarce literature of coexistence of varicella-zoster co-infection triggering myelitis in Covid-19 illness.
Distinct characteristics of the COVID-19 among children and young adolescents treated at Gulu Regional Referral Hospital; Northern Uganda: A cross-sectional study
Authors: Aloyo Judith , Acullu Denis , Onira Nelson Alema , Baguma Steven , Okot Christopher , Oloya Johnson Nyeko , Oyat Freddy Wathum Drinkwater , Oballim Lawence , Ikoona Eric Nzirakaindi , Kitara David Lagoro 
Published: January 2022

Abstract
Background

Ever since the appearance of acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease (COVID-19) in Wuhan in mid-December 2019, its spread has been dramatic worldwide. It became apparent that the number of pediatric COVID-19 patients was much lower than in adults. Variable clinical presentations and progression have characterized morbidity and mortality in children and young adults.
Objective

The objective of this study was to assess the characteristics of the COVID-19 among children and adolescents below 20 years in Northern Uganda and determine factors associated with treatment outcomes in the study population.
Materials and Methods

A cross-sectional study conducted a retrospective data abstraction of the COVID-19 patients registered in the Gulu Hospital Health Management Information System (HMIS) database and other tools. The study covered the period between March 2020 and October 2021. Data that met the inclusion criteria were consecutively extracted from the Gulu Hospital HMIS database. A local IRB approved the study. SPSS version 25.0 was used for data analysis, and a p-value less than 0.05 was considered significant.
Results

There were 41 COVID-19 patients below 20 years among the 664 total COVID-19 patient population, constituting 41/664(6.2%) of the total COVID-19 patients treated at Gulu Regional Referral Hospital from March 2020 to October 2021. The median age was 19 years (ranging from 13 to 20 years), the mean age was 18.2 years SD±1.95 at 95% CI:17.51-18.74. Females constituted 58.5% of the study population. The mean duration of hospital stay was 14.44 days SD±10.45 at 95% CI:11.14-17.74, and the mean duration of symptoms at admission was 7.96 days SD±7.38 at 95% CI:4.84-11.07. The comorbidities were cardiovascular diseases 3/41(7.3%) and hypertension 3/41(7.3%) and were not in the same patients. Pneumonia 1/41(3.3%) and acute liver injury 1/41(3.3%) were the observed complications. The morbidity and mortality rates were 2/41(4.9%) and 0/41(0.0%), respectively. Participants’ symptoms, signs, complications, and comorbidities by gender were not statistically significant.
Conclusion

Data showed excellent treatment outcomes of the COVID-19 among children and adolescents below 20 years in Northern Uganda with a recovery rate of 100.0%. The burden of symptoms of the illness, comorbidities, and complications was fewer. There is a need to conduct more extensive studies on the role played by age in the successful recovery of COVID-19 patients, even in a low-resource milieu.
Flood Susceptibility Mapping in Arid Region of Pakistan through ensemble Machine Learning Model.
Authors: Yaseen Andaleeb , LU Jianzhong , Xiaoling Chen 
Published: January 2022

Abstract
Floods are among the most destructive natural hazards. Therefore, their prediction is pivotal for flood management and public safety. Factors contributing to flooding are different for every region as they depend upon the characteristics of each region. Therefore, this study evaluated the factors contributing to flood and the precise location of high and very high flood susceptibility regions in Karachi. A new ensemble model (LR-SVM-MLP) is introduced to develop the susceptibility map and evaluate influencing factors. This ensemble model was formed by employing a stacking ensemble on Logistic Regression (LR), Support Vector Machine (SVM), and Multi-Layer Perceptron (MLP). A spatial database was generated for the Karachi watershed, which included; twelve conditioning factors as independent variables, 652 flood points and the same number of non-flood points as dependent variables. This data was then randomly divided into 70% and 30% to train and validate models, respectively. To analyse the collinearity among factors and to scrutinize each variable's predictive power, multicollinearity test and Information Gain Ratio were applied, respectively. After training, the models were evaluated on various statistical measures and compared with benchmark models. Results revealed that the proposed ensemble model outperformed Logistic Regression (LR), Support Vector Machine (SVM), and Multi-Layer Perceptron (MLP) and produced a precise and accurate map. Results of the ensemble model showed 99% accuracy in training and 98% accuracy in validation datasets. This ensemble model can be used by flood management authorities and the government to contribute to future research studies.
A Coherent Accumulation Detection Method Based on SA-DPT for Highly Maneuvering Target
Authors: Pang Cunsuo , Hou huiling , guo hualing 
Published: January 2022

Abstract
The emergence of highly maneuverable weak targets has led to a serious degradation or even failure of traditional radar detection. In this paper, a coherent accumulation algorithm based on combination of scaling algorithm (SA) and discrete polynomial-phase Transform (DPT) is proposed in terms of the calculation burden and detection performance, which can, firstly, perform fewer times of speed parameter compensation based on SA for the transmitted signal, and selects the effective delay range of the target signal; secondly, for the extracted echo signal, the DPT algorithm is used to estimate the target speed and acceleration. The proposed algorithm analyzes the influence of time delay range, compensation speed and delay unit on the detection performance, and gives the improvement degree of output SNR and the amount of complex multiplication . Finally, the experimental data verify the effectiveness of the proposed algorithm in accumulation gain and parameter estimation. This method is for sub-optimal estimation, requiring much less computation than joint search methods, but performs better than cross-correlation methods.