bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genetic Variability and Phylogeny of Human Papillomavirus Type 16 Based On E6, E7 and L1 Genes in Central China
Authors: Han Shuizhong , Wang Xiaochuan , Wang Xiaojing , Wang Shuaijun , Ma Li 
Published: November 2021

Abstract
In the current study, a total of 74 single-infected HPV16 samples from females attending the gynecological outpatient clinic in four cities of Henan province were collected and applied to the L1, E6 and E7 sequencing. Variations of the HPV16 L1, E6 and E7 genes were characterized by comparison with reference sequence and the secondary structure analysis were conducted. Phylogenetic trees based on the L1 and E6-E7 sequences were constructed separately. B-cell epitopes of the HPV16 E6 and E7 proteins were predicted further. A total of thirty-seven novel variations, including twenty L1 genes and seventeen E6-E7 genes were identified. Compared with the reference sequence, twenty-eight variations (1.8%, 28/1596) were identified in L1 gene sequences and 10/28 (35.7%) were non-synonymous mutations. For E6-E7 sequences, twenty-five novel gene changes (including 16 mutations (3.4%, 16/477) in E6 gene, 9 mutations (3.0%, 9/297) in E7 gene) were found, 18/25 (72.0%) were non-synonymous and 10/28 (35.7%) were non-synonymous mutations. Phylogenetic analysis showed that 56.8% (42/74) of the samples were A1 sublineages, 37.8% (28/74) were A4, 4.1% (3/74) were A3 and 1.4% (1/74) was A2 sublineages. On the prediction of B-cell epitopes, seven potent epitopes for E6 and four for E7 were identified. Amino mutations, including L90V, R62K, R142Q and F76L in E6, S63F and N29S/H in E7 changed the score. HPV16 variants prevalent in the central China belong to European A1 sublineages. Sequences of HPV16 L1, E6 and E7 in this study may provide assistant for the improvement of HPV vaccines.
Inhibition of COX-2 Ameliorates Murine Liver Schistosomiasis Japonica Through Splenic Cellular Immunoregulation
Authors: Zhang Qi , Chen Lan , Ji Xiaofang , Tang Juanjuan , Fu Cheng , Huang Ting , Shen Erxia , Li Zi 
Published: November 2021

Abstract
We have reported the positive association of cyclooxygenase 2 (COX-2)/prostaglandin E2 (PGE2) axis with liver fibrosis induced by Schistosoma japonicum (Sj) infection, and TLR4 signaling controlled this axis. However, how COX-2 regulated immune response during Sj infection is still unclear. Here we further studied the effect of COX-2 specific inhibitor-NS398 on liver granulomatous inflammation, fibrosis and explored the mechanisms via evaluating different immune cell during Sj infection.The results showed that NS398 significantly reduced the size of liver granuloma, spleen and mesenteric lymph node (MLN) and alleviated chronic granulomatous inflammation. Mechanically, it might be via decreasing the numbers of Sj-induced T helper type 1 (Th1), Th2, T follicular helper (Tfh), T follicular regulatory cells (Tfr) and germinal center B (GCB) cells to alleviate the liver inflammation and fibrosis. In addition, there were no difference of the numbers of macrophages, neutrophils, MDSCs,Th17 and total B cells in the spleen of the mice with or without NS-398 treatment. Our above data suggests that COX-2/PGE2 inhibition may represent a potential therapeutic approach to schistosomiasis japonica.
Reducing Ventilator Alarms Through Decreased Rainout in Ventilator Circuits: A Bench Study
Authors: Bayoro Danielle , Meyer Matthew , Healy Daniel , Groepenhoff Herman , Waldmann Andreas , Rose Edward A. , Pedro Michael J. 
Published: November 2021

Abstract
Background:Alarm fatigue is a significant problem in healthcare, particularly in high acuity settings such as intensive care, surgery, and emergency departments. Alarms are triggered by various devices such as anesthesia machines, ventilators, patient monitors or humidifiers. Heated humidifiers (HH) used with mechanical ventilators, while necessary to prevent other complications associated with mechanical ventilator, may cause condensation in the ventilator circuit, prompting occlusion alarms indicating a risk for the patient. Technological advances in heated humidifier (HH) circuits may reduce rainout and therefore occlusion alarms. Methods:Bench experiments measured alarms and rainout of two commercially available humidifiers (AirLife DuoTherm™ and Fisher & Paykel MR850) and four different pediatric and adult patient’s breathing. The tests examined condensation accumulation after 24 hours of low-, nominal-, or high-flow rates of gas at low-, nominal-, and high-ambient temperature settings. Dual-limb designs of adult- and neonate-sized circuits underwent evaluation. Data on alarms was collected for each system.Results:Low temperature and occlusion alarms were statistically significantly lower in DuoTherm vs. MR850 HH circuits (6 vs. 68 alarms, respectively; p<nn). DuoTherm products accumulated significantly less rainout for all three circuit sizes at all ambient temperatures. In general, the set flow rate did not dramatically affect the amount of rainout for adult and infant circuits, but low versus high ambient temperatures yielded increased rainout for all circuit types (p < 0.02). Conclusions:The DuoTherm HH device and patient circuits developed significantly less alarms due to rainout and low temperatures compared to those from MR850 under all the conditions tested. Such reduction in patient alarms should help reduce alarm fatigue among healthcare workers in critical care settings.
Lichen communities as a multiscale correlative indicator of elevational and land use-land cover gradients in the Himalayas
Authors: Rai Himanshu , Khare Roshni , Upadhyay Deepak , Gupta Rajan Kumar , Ade Avinash B. , Singh Sarnam , Upreti Dalip Kumar 
Published: November 2021

Abstract
Elevation and land use/ land cover (LULC) plays an important role in the diversity of lichens in the Himalayas. The elevation gradients and LULC can be remotely assessed using remote sensing (RS) and geographical information systems (GIS). The current study was done in the Chopta-Tungnath landscape in the Kedarnath wildlife sanctuary, western Himalaya, India. Digital elevation modelling of the study area was done using shuttle radar topography mission data (SRTM-DEM) processed in Esri ArcGIS® ArcMAPTM 10.5, to assess the elevation gradient of the study area and selection of four lichen sampling sites. The LULC maps of the study area were prepared using Landsat 8 and Google Earth Pro 7.3.2.5776 imagery processed using LeicaTM ERDAS IMAGINE® 9.2. An elevation gradient of 2750 m to 3703m was recorded by SRTM-DEM. The LULC analysis resulted in five LULC classes of which the four sampling sites fall in the 3 LULC classes. The principal component analysis (PCA), used to analyse the lichen communities along the RS-GIS recognized LULC classes. The study found lichen communities to be a proxy to the LULC classes in the Himalayas with clear gradients of growth forms and habitat subsets along the increasing elevation gradient.
Error Control Mechanism Based on Reed-Solomon Code for Wireless Networks
Authors: WANG XINYU , SHI KAI , WANG JINSONG , LIN SHENG , XU GUANGPING , ZHANG JIAYI 
Published: November 2021

Abstract
The reliability of information transmission has a significant influence on network performance, so it has attracted extensive attention from researchers. Many error control mechanisms have been designed and proposed in order to improve the reliability of transmission. However, during transmission in wireless networks, high bit error rate and burst errors often occur, which poses great challenges in the design of error control mechanisms. The existing mechanisms suffer from a problem of either poor error correction ability or waste of network resources. The primary aim of this study is to develop an error control mechanism based on Reed-Solomon (RS) codes, which encodes packets using RS codes, and a re-encoding algorithm is designed for reducing the coded packet length. The proposed error control mechanism can not only reduce the number of redundant bits in the transmission process but also improve the error correction ability as much as possible when burst errors occur. Therefore, both the error correction ability and the network utility are considered in this work. The proposed mechanism was verified by experiments using the NS2 simulator. The experimental results verified the error control ability and throughput performance of the proposed mechanism.
Economic Evaluation of Community-Based Falls Prevention Interventions: A Systematic Methodological Overview of Systematic Reviews
Authors: Kwon Joseph , Squires Hazel , Franklin Matt , Lee Yujin , Young Tracey 
Published: November 2021

Abstract
Background: Falls impose significant health and economic burdens on older people, making their prevention a priority for care decision-makers. The volume of falls prevention economic evaluations has increased, the findings from which have been synthesised by systematic reviews (SRs) with pre-specified criteria (e.g., objectives, eligibility, data extraction). Such SRs can inform commissioning and design of future evaluations, particularly decision models; however, their findings can be biased and partial dependent on their pre-specified criteria. This study aims to conduct a systematic overview (SO) to: (1) systematically identify SRs of community-based falls prevention economic evaluations; (2) describe the methodology and findings of SRs; (3) critically appraise the methodology of SRs; and (4) suggest commissioning recommendations based on SO findings. Methods: The SO followed the PRISMA guideline and the Cochrane guideline on SO, covering the period 2003-2020. Identified SRs’ aims, search strategies and results, extracted data fields, quality assessment methods and results, and commissioning and research recommendations were synthesised. The comprehensiveness of previous SRs’ data synthesis was judged against criteria drawn from expert guideline and academic literature on falls prevention/public health economic evaluation. Outcomes of general population, lifetime decision models were re-analysed to inform commissioning recommendations. The SO protocol is registered in the Prospective Register of Systematic Reviews (CRD42021234379).Results: Seven SRs were identified, which extracted 8 to 33 data fields from 44 relevant economic evaluations. Four economic evaluation methodological/reporting quality checklists were used; three SRs narratively synthesised methodological features to varying extent and focus. SRs generally did not appraise decision modelling features, including methods for characterising dynamic complexity of falls risk and intervention need. Their commissioning recommendations were based mainly on cost-per-unit ratios (e.g., incremental cost-effectiveness ratios) and neglected aggregate impact. There is model-based evidence of multifactorial and environmental interventions, home assessment and modification and Tai Chi being cost-effective but also the risk that they exacerbate social inequities of health. Conclusions: Current SRs of falls prevention economic evaluations do not holistically inform commissioning and evaluation design. Accounting for broader decisional factors including intervention reach and capacity constraints and a broader grasp of methodological nuances of economic evaluations, particularly decision models, are needed.
Enhanced Diagnosis of the COVID-19 Behaviour Using the Rough Set Theory and Genetic Algorithms
Authors: Esmaeilpour Mansour , Kashef Rasha 
Published: November 2021

Abstract
The outbreak of the coronavirus 2019 (COVID-19) has created an excellent challenge for the care system worldwide. One in every of the foremost vital points of this challenge is that the management of COVID-19 patients needing acute and/or vital metastasis care. The main objective of applying data mining to Covid-19 dataset is essential to propel learning by empowering data-oriented decision making to improve existing clinical practices and learning materials. Current data mining techniques offer patient data analysis for achieving an automated diagnosis of the diseases as an example; however, the results are not very accurate nor reliable, especially with a dynamic virus as the COVID-19. In this paper, we are proposing a multi-stage diagnostic (MSD-Covid19) model to enhance the diagnosis of the COVID-19, and to provide a sustainable automated system to improve the healthcare systems and patient outcomes. The first stage includes a selection of a classification model with no reduction attributes. Tested classification algorithms include Deep learning, Multilayer Perceptron, KNN, Bayesian Auto Regression, Logistic Model Trees (LMT), Hoeffding tree (VFDT), and Fuzzy Unordered Rule Induction Algorithm. In the second stage, a rough set reduction algorithm based on genetic algorithms is employed, and finally, an optimization of the classification is conducted using the reduced attributes. The proposed model is evaluated on a global COVID-19 dataset. Experimental results demonstrate that the proposed MSD-Covid19 has a great contribution to increase the diagnostic accuracy of the COVID-19 disease behaviour.
Scrutinizing Attacks and Evaluating Performance Appraisal Parameters via Feature Selection in Intrusion Detection System
Authors: Kaur Navroop , Bansal Meenakshi , S Sukhwinder Singh 
Published: November 2021

Abstract
In modern times the firewall and antivirus packages are not good enough to protect the organization from numerous cyber attacks. Computer IDS (Intrusion Detection System) is a crucial aspect that contributes to the success of an organization. IDS is a software application responsible for scanning organization networks for suspicious activities and policy rupturing. IDS ensures the secure and reliable functioning of the network within an organization. IDS underwent huge transformations since its origin to cope up with the advancing computer crimes. The primary motive of IDS has been to augment the competence of detecting the attacks without endangering the performance of the network. The research paper elaborates on different types and different functions performed by the IDS. The NSL KDD dataset has been considered for training and testing. The seven prominent classifiers LR (Logistic Regression), NB (Naïve Bayes), DT (Decision Tree), AB (AdaBoost), RF (Random Forest), kNN (k Nearest Neighbor), and SVM (Support Vector Machine) have been studied along with their pros and cons and the feature selection have been imposed to enhance the reading of performance evaluation parameters (Accuracy, Precision, Recall, and F1Score). The paper elaborates a detailed flowchart and algorithm depicting the procedure to perform feature selection using XGB (Extreme Gradient Booster) for four categories of attacks: DoS (Denial of Service), Probe, R2L (Remote to Local Attack), and U2R (User to Root Attack). The selected features have been ranked as per their occurrence. The implementation have been conducted at five different ratios of 60-40%, 70-30%, 90-10%, 50-50%, and 80-20%. Different classifiers scored best for different performance evaluation parameters at different ratios. NB scored with the best Accuracy and Recall values. DT and RF consistently performed with high accuracy. NB, SVM, and kNN achieved good F1Score.
Identification of Isosteric Replacements of Glycosyl Domain of Ligands by Data Mining
Authors: Li Ting , Liu Meng , Liu Yan , Zhang Yuezhou 
Published: November 2021

Abstract
Biologically equivalent replacements of key moieties in molecule rationalizes scaffold hopping, patent busting or R-group enumeration, yet heavily depending upon the expert-defined space therefore is subjective and might be biased to the chemistries they get used to. Most importantly, these explorations are often informatively incomplete since it is often confined within try-and-error cycle, only meaning what kind of substructures are suitable for the replacement occur, but fail to disclose the driving forces to support such interchanges. The Protein Data Bank (PDB) repository involving receptor-ligand interactional information reminds poorly exploited. However, manual screening the PDB become almost impossible to excavate the bioisosteric know-how with the exponentially increase of data. Therefore, a textual content parsing workflow is developed to automatedly mine local structural replacement (LSR) of specific structure. Taking the glycosyl domain for instance, a total of 41652 replacements that overlap on nucleotide ribose were identified and categorized based on their SMILE codes. Predominately ring system, such as aliphatic aromatic ring, yet amide and sulfonamide replacement also occurred. We believe these findings may enlighten medicinal chemists to design and optimize ligand structure using bioisosteric replacement strategy.
Behavioral Healthcare Providers’ Experiences Related to use of Telehealth as a Result of the COVID-19 Pandemic: An Exploratory Study
Authors: Kisicki Abby , Becker Sara , Chaple Michael , Gustafson David H. , Hartzler Bryan , Jacobson Nora , Murphy Ann A. , Tapscott Stephanie , Molfenter Todd 
Published: November 2021

Abstract
Background: Due to the COVID-19 pandemic, healthcare providers were forced to shift many services quickly from in-person to virtual, including substance use disorder (SUD) and mental health (MH) treatment services. This led to a sharp increase in use of telehealth services, with health systems seeing patients virtually at hundreds of times the rate as before the onset of the COVID-19 pandemic.By analyzing qualitative data about SUD and MH care providers’ experiences using telehealth, this study aims to elucidate emergent themes related to telehealth use by the front-line behavioral health workforce.Methods: This study uses qualitative data from large-scale web surveys distributed to SUD and MH providers between May and August 2020. At the end of these surveys, the following question was posed in free-response form: “Is there anything else you would like to say about use of telehealth during or after the COVID-19 pandemic?” The 391 responses to this question were analyzed for emergent themes using a conventional approach to content analysis.Results: Three major themes emerged in the data: COVID-specific experiences with telehealth, general experiences with telehealth, and recommendations to continue telehealth delivery. Convenience, access to new populations, and lack of commute were frequently cited advantages, while perceived ineffectiveness of and limited access to technology were frequently cited disadvantages. Also commonly mentioned was the relaxation of reimbursement regulations. Providers supported continuation of relaxed regulations, increased institutional support, and using a combination of telehealth and in-person care in their practices. Conclusions: This study advanced our knowledge of how the behavioral health workforce experiences telehealth delivery. Further longitudinal research comparing treatment outcomes of those receiving in-person and virtual services will be necessary to undergird organizations’ financial support, and perhaps also legislative support, of virtual SUD and MH services.
The Potential CircRNAs in Imatinib Resistance of GIST
Authors: Yan Jingyi , Chen Xiaolei , Dong Qiantong , Lin Ji , Sun Xuecheng 
Published: November 2021

Abstract
Background: Recent studies have found that circular RNA is an abundant RNA species, belongs to part of the competing endogenous RNA network(ceRNA), which was proved to play an important role in the development, diagnosis and progress of diseases.Methods: We determined the expression of circular RNAs in paired normal gastric tissues(N), primary GIST (gastrointestinal stromal tumor) tissues (Y or YC) and imatinib mesylate secondary resistance GIST tissues(C) with microarray and predicted 8677 dysregulated circular RNAs.Results: We identified 15 circRNAs was up-regulated and 8 circRNAs were down-regulated in C group. Gene ontology (GO)and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicated that these host linear transcripts that differentially express circular RNAs are involved in many key biological pathways., predicting the potential tumor-genesis and drug resistance mechanism was related with HIF-1 pathway, later we draw the cirRNA-miRNA-mRNA network involved in the HIF-1 pathway, found that several dysregulated circRNAs and the relationship between circRNA-miRNAs-mRNA, such as circRNA_06551, circRNA_14668, circRNA_04497, circRNA_08683, circRNA_09923(Green, down-regulation) and circRNA_23636, circRNA_15734(Red, up-regulation). Conclusions: Taken together, we identified a panel of dysregulated circRNAs that may be potential biomarkers even therapy relevant to the GIST, especially imatinib secondary resistance GIST.
Feasible location identification &amp; potential assessment of micro-hydropower: Gilgel Beles River, Upper Blue Nile Basin, Ethiopia
Authors: Gebiru Semahegn , Kifelew Mekash 
Published: November 2021

Abstract
Ethiopia is endowed with huge natural resources especially water resources that is why Ethiopia is the water tower of East Africa. But having the capability of generating a huge amount of electricity Ethiopia is under an energy crisis especially the rural peoples of Ethiopia. To overcome this problem utilization of renewable sources of energy like wind, solar and hydro are the best options. Hence, the objective of this study is to assess and identify the micro hydropower potential of the Gilgel-Beles river which is located in the Amhara and Benishangul Gumuz regions of Ethiopia. For data preparation and analysis, Arc GIS, HEC-GEOHMS, and HOMER software were used. Typical energy demand categories (lighting, radio, television, injera Mitad, stove, water pumps, schools, churches, and health centers) for Alefa Kacha Village were considered. The result showed that there is 88% excess energy from Hp site8 to supply other villages in addition to Alefa Kacha. Based on the estimated total technical ROR hydro potential of Gilgel-Beles River 660.01Kw technical power and 5608.222MWh annual energy was determined. The amount of coal or wood that can be saved per year as a result of the energy produced by the potential Micro Hydropower of Gilgel-Beles River is also determined. Finally, 9 sites were identified and a ranking of hydropower sites has been done for decision-makers to make a reasonable decision as to which sites should be given the top priority for future micro hydropower development.