bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimized Hybrid Heuristic Based Dimensionality Reduction Methods for Malaria Vector Using KNN Classifier
Authors: Arowolo Micheal Olaolu , Adebiyi Marion Olubunmi , Adebiyi Ayodele Ariyo , Olugbara Oludayo 
Published: November 2020

Abstract
RNA-Seq data are utilized for biological applications and decision making for the classification of genes. A lot of works in recent time are focused on reducing the dimension of RNA-Seq data. Dimensionality reduction approaches have been proposed in the transformation of these data. In this study, a novel optimized hybrid investigative approach is proposed. It combines an optimized genetic algorithm with Principal Component Analysis and Independent Component Analysis (GA-O-PCA and GAO-ICA), which are used to identify an optimum subset and latent correlated features, respectively. The classifier uses KNN on the reduced mosquito Anopheles gambiae dataset, to enhance the accuracy and scalability in the gene expression analysis. The proposed algorithm is used to fetch relevant features based on the high-dimensional input feature space. A fast algorithm for feature ranking is used to select relevant features. The performances of the model are evaluated and validated using the classification accuracy to compare existing approaches in the literature. The achieved experimental results prove to be promising for selecting relevant genes and classifying pertinent gene expression data analysis by indicating that the approach is a capable addition to prevailing machine learning methods.
Clinical Features and Laboratory Examination to Identify Severe Patients With COVID-19: A Systematic Review and Meta-analysis
Authors: Meng Yan , Wang Jinpeng , Wen Kaicheng , Da Wacili , Yang Keda , Zhou Siming , Tao Zhengbo , Liu Hang , Tao Lin 
Published: November 2020

Abstract
Background With the COVID-19 epidemic breakout in China, up to 25% of diagnosed cases are considered to be severe. To effectively predict the progression of COVID-19 via patients’ clinical features at an early stage, the prevalence of these clinical factors and their relationships with severe illness were assessed.Methods In this study, electronic databases (PubMed, Embase, Web of Science and Chinese database) were searched to obtain relevant studies including information on severe patients. Publication bias analysis, sensitivity analysis, prevalence, sensitivity, specificity, likelihood ratio, diagnosis odds ratio calculation, and visualization graphics were achieved through software Review Manager 5.3, STATA 15, Meta-DiSc 1.4 and R.Results Data of 3.547 patients from 24 studies was included in this study. The results revealed that patients with chronic respiratory system diseases (pooled positive likelihood 6.07, 95% CI: 3.12-11.82), chronic renal disease (4.79, 2.04-11.25), cardiovascular disease (3.45, 2.19-5.44), and symptoms of the onset of chest tightness (3.8, 1.44-10.05), shortness of breath (3.18, 2.24-4.51), and diarrhea (2.04, 1.38-3.04) exhibited increased probability of progressing to severe illness. C-reactive protein, ratio of neutrophils to lymphocytes, and erythrocyte sedimentation rate increased a lot in severe patients compared to non-severe. Yet it was found that clinical features including fever, cough, headache, and so on, as well as some comorbidities have little warning value.Conclusions The clinical features, and laboratory examination could be used to estimate the process of infection in COVID-19 patients. The findings contribute to the more efficient prediction of serious illness for patients with COVID-19 to reduce mortality.Systematic Review registrations Not applicable.
Learning Chemistry: Exploring the Suitability of Machine Learning for the Task of Structure-based Chemical Ontology Classification
Authors: Hastings Janna , Glauer Martin , Memariani Adel , Neuhaus Fabian , Mossakowski Till 
Published: November 2020

Abstract
Chemical data is increasingly openly available in databases such as PubChem, which contains more than 110 million compound entries as of October 2020. With the availability of data at such scale, the burden has shifted to organisation, analysis and interpretation. Chemical ontologies provide structured classifications of chemical entities that can be used for navigation and filtering of the large chemical space. ChEBI is a prominent example of a chemical ontology, widely used in life science contexts. However, ChEBI is manually maintained and as such cannot easily scale to the full scope of public chemical data. There is a need for tools that are able to automatically classify chemical data into chemical ontologies, which can be framed as a hierarchical multi-class classification problem. In this paper we evaluate machine learning approaches for this task, comparing different learning frameworks including logistic regression, decision trees and long short-term memory articial neural networks, and different encoding approaches for the chemical structures, including cheminformatics fingerprints and character-based encoding from chemical line notation representations. We nd that classical learning approaches such as logistic regression perform well with sets of relatively specific, disjoint chemical classes, while the neural network is able to handle larger sets of overlapping classes but needs more examples per class to learn from, and is not able to make a class prediction for every molecule. Future work will explore hybrid and ensemble approaches, as well as alternative network architectures including neuro-symbolic approaches.
SMOC Approach for Total Knee Arthroplasty in Valgus Knees
Authors: Li Tao , Wang Yingzhen , Li Haiyan , Guo Pengcheng , Zhang Haining 
Published: November 2020

Abstract
Purpose The subvastus approach sometimes can not provide adequate exposure and lateral approach has disadvantages of closure of the soft tissues and patellar tracking. The hypothesis of this study was that SMOC approach could be used in valgus knees and would offer good function.Methods We retrospectively reviewed 25 patients (25 knees) with valgus deoformity undergoing primary total knee arthroplasty (TKA) with SMOC approach. Necessary soft tissue releases, Visual Analog Scale (VAS), straight leg raising (SLR), International Knee Society score (KSS), radiological alignment were assessed with average follow-up of 16 months.Results KSS improved significantly from 38.5 to 90.3. The mean range of motion increased from 89.5°to 121.8°.The mean tibiofemoral valgus was corrected from preoperative 17.1° to 6.3°. No instability, recurrent valgus deformity, or radiographic loosening was found during follow-up.Conclusions SMOC approach provides adequate exposure and excellent early recovery for TKA in valgus knees, without increase in incidence of complications.
Comparison of SDSG and CARDS classifications for L5/S1 lumbar degenerative spondylolisthesis: An independent inter- and intra-observer agreement study
Authors: Xu Chongqing , Yin Mengchen , Mo Wen 
Published: November 2020

Abstract
Background

Lumbar degenerative spondylolisthesis (DS) has been a common disease that make increasing patients suffer from different degrees of low back pain and radicular symptoms. SDSG and CARDS systems are commonly used to classify the disease, and help to make a more detailed treatment plan. The objective of this study is to evaluate the reliability and reproducibility of SDSG and CARDS classifications, and to explore their clinical application value.
Methods/Design:

All 117 patients with L5/S1 lumbar DS were enrolled. 5 spine surgeons who have certain clinical experience were selected. They determined the classification according to S SDSG and CARDS systems, we used kappa (K) value to check the coefficient consistency for multi-factor and assess the inter- and intra-observer agreement. After 12 weeks, we repeated the analysis.
Results

The inter-observer reliability and intra-observer reproducibility of SDSG system were substantial with K values of 0.704 and 0.861, while those of CARDS system were substantial with values of 0.620 and 0.878.
Conclusion

SDSG system has better inter-observer reliability in comparison with CARDS system, and though CARDS system is more intuitive and simpler, it is more likely to produce deviations when using it. Since both SDSG and CARDS systems show substantial agreement and have great significance in surgical strategy of L5/S1 lumbar DS, they can be widely used in clinical practice.
Alterations in intermuscular coordination underlying isokinetic exercise after a stroke and their implications on neurorehabilitation
Authors: Park Jeong-Ho , Shin Joon-Ho , Lee Hangil , Roh Jinsook , Park Hyung-Soon 
Published: November 2020

Abstract
Background: Abnormal intermuscular coordination limits the motor capability of stroke-affected upper limbs. By evaluating the intermuscular coordination in the affected limb under various biomechanical task constraints, the impact of a stroke on motor control can be analyzed and intermuscular coordination-based rehabilitation strategies can be developed. In this study, we investigated upper limb intermuscular coordination after a stroke during isokinetic movements. Methods: Sixteen chronic stroke survivors and eight neurologically intact individuals were recruited. End-point forces and electromyographic activities of the shoulder and elbow muscles were measured while the participants performed isokinetic upper limb movements in a three-dimensional space. Intermuscular coordination of the stroke survivors and the control participants was quantified in the form of muscle synergies. Then, we compared the number, composition, and activation coefficients of muscle synergies and the end-point force between the groups. The correlation between the alteration of muscle synergies and the level of motor impairment was investigated. Results: Four and five muscle synergies in the stroke and control groups were observed, respectively. The composition of muscle synergies was comparable between the groups, except that the three heads of the deltoid muscle were co-activated and formed one synergy in the stroke group, whereas those muscles formed two synergies in the control group. When the number of muscle synergies between the groups matched, the comparable composition of muscle synergies was observed in both groups. Alternatively, the modulation of synergy activation coefficients was altered after a stroke. The severity of motor impairments was negatively correlated with the similarity of the post-stroke synergies with respect to the mean control synergies. Conclusions: Stroke-affected upper limbs seemed to modularize the activation of the shoulder and elbow muscles in a fairly similar way to that of neurologically intact individuals during isokinetic movements. Compared with free (i.e., unconstrained) movement, exercise under biomechanical constraints including the isokinetic constraint might promote the activation of muscle synergies independently in stroke survivors. We postulated the effect of biomechanical constraints on the intermuscular coordination and suggested a possible intermuscular coordination-based rehabilitation protocol that provides the biomechanical constraint appropriate to a trainee throughout the progress of rehabilitation.
Difference Metabolites Induced By Deoxynivalenol in Serum and Urine of Weaned Rabbits Detected Using LC-MS Based Metabolomics
Authors: Li Fuchang , Huang Libo , Liu Quancheng , Wang Pengwei , Chen Hongju , Wang Chunyang 
Published: November 2020

Abstract
Background: The main toxin effects of Deoxynivalenol (DON), which known as one of the mycotoxins with the highest pollution rate, is the result of long-term accumulation, and there are no obvious clinical signs at the early stage. Specific metabolites in blood and urine can be used as biomarkers and become an important diagnostic indicator for DON poisoning monitoring. At present, studies on the metabolic pathways and characteristics of DON mainly focus on humans, pigs and poultry, but few study on rabbits. This study aims to reveal the difference in DON-induced metabolites in the serum and urine of weaned rabbits, so as to help find potential biomarkers and understand the mechanism of DON in rabbits.Methods: A total of 32 weaned rex rabbits were divided evenly into two groups, namely the control group and DON group. Both groups of rabbits were fed with the basic diet. Rabbits in DON group were intraperitoneally injected with DON at 1.5 mg/kg b.w. every two days before feeding, while rabbits in control group were injected with saline at 1.5 mg/kg b.w. in the same way. After the 25-day trial, the serum and urine samples at different experimental period were collected for LC/MS analysis.Results: The results based on the LC-MS/MS method showed that DON can be metabolized rapidly in blood, and urine is the main metabolism pathway for DON. The data based on metabolomics illustrated that underlying biomarkers in serum were mainly involved in Glycerophospholipid metabolism, Tryptophan metabolism and Pentose and glucuronate interconversions, while those in urine samples involved in Caffeine metabolism, Glycine, serine and threonine metabolism, and Terpenoid backbone biosynthesis. Correlation analysis suggested that DON can induce 61 the changes in certain disease-related metabolites in serum and urine.Conclusions: The pathogenic mechanism of DON includes multiple levels, indicating that DON poisoning is caused by multiple factors acting on multiple links.
Prevention, Control and Safety of Health Care Providers during COVID-19: A Review Study
Authors: Moslehi Shandiz , Masoumi Gholamreza , Rostamian Morteza , Shirazi Fahimeh Barghi 
Published: November 2020

Abstract
Background: Infection prevention, control, and health workers’ safety in the face of biological agents are among the vital issues in healthcare systems across the world. Considering the high prevalence of COVID-19 infection in the world and its high mortality rate, this epidemic can be tackled to some extent through infection control in the general population and promoting the safety of health centers. This study aims to scrutinize the literature in terms of measures adopted for infection control and safety of healthcare workers in health centers during COVID-19.Methods: We searched key words related to the study namely, “prevention and control”, “safety”, “coronavirus”, “COVID-19”, and “health personnel” in PubMed, Web of Science, ScienceDirect, Scopus databases, Google Scholar, and also in Persian data bases such as SID, Magiran, Irandoc, and Iran Medex using AND/OR functions. To select the documents, the titles of the retrieved studies were first evaluated for relevance; then, the abstracts and full texts of the papers with relevant titles were inspected. Results: Out of 136 retrieved studies, 10 were relevant and their data were analyzed. Four of the articles highlighted the importance of prevention, three enunciated the importance control and three of them related to care providers’ safety. The results showed that the COVID-19 epidemic has affected the healthcare providers’ health; however, it is possible to prevent a catastrophe through strategic planning, prevention and control measures. Conclusions: Considering the importance of the healthcare workers’ health, it is necessary to implement COVID-19 prevention and control management principles according to scientific evidence.
Socio-economic Status and Associated Factors in the Uptake of HIV Testing: Findings from the South African Population-based National Household Survey Conducted in 2017
Authors: Jooste Sean , Mabaso Musawenkosi , Taylor Myra , North Alicia , Shean Yolande , Simbayi Leickness Chisamu 
Published: November 2020

Abstract
Background: Improved understanding of barriers to HIV testing is important for reaching the first of the UNAIDS 90-90-90 targets, which states that 90 percent of HIV positive individuals ought to know their HIV status. This study examined socioeconomic status (SES) factors and related covariates associated with HIV testing uptake in the general population in South Africa. Information on SES and HIV testing may impact the HIV treatment and care cascade and prevention of HIV transmission. Methods: This study used data obtained from a national cross-sectional, population-based household survey conducted in 2017 using a multi-stage stratified random cluster sampling design. A composite SES score was created using multiple correspondence analyses of household assets; households were classified into wealth quintiles and dichotomized into low SES/poorest (lowest 3 quintiles) and high SES/less-poor (highest 2 quintiles). Bivariate and multivariate logistic regression models were fitted to analyse associations between the uptake of HIV testing and a set of socio-demographic and HIV-related variables. Results: HIV testing uptake was 73.8% and 76.7% among low and high SES household, respectively, both of which were below the first 90 target. The findings showed increased uptake of HIV testing was associated with being female and having a higher educational level independent of SES. Decreased uptake of HIV testing was associated with being from White and Indian/Asian race groups, residing in rural formal areas, alcohol consumption, and high self-perceived risk of HIV infection.Conclusions: We found that HIV testing uptake was similar for people from both low and high SES. However, interventions aimed at improving HIV testing in order to reach the first 90 target, should target males, all race groups, those with low education attainment, and those residing in rural formal areas. Reaching the first target will require efforts to improve community knowledge, and awareness about the negative impact of alcohol use and address HIV risk perception.
Usefulness of surveillance Cultures for Carbapenem-resistant Enterobacteriaceae, Carbapenem-resistant Pseudomonas aeruginosa and Vancomycin-resistant Enterococci in Hematopoietic Stem Cell Transplant Unit
Authors: Mendes Elisa Teixeira , Salomão Matias Chiarastelli , Tomichi Lísia Moura , Oliveira Maura Salaroli , Graça Mariana , Rossi Flavia , Spadão Fernanda , Guimaraes Thais , Rocha Vanderson , Costa Silvia Figueiredo 
Published: November 2020

Abstract
Surveillance strategies to detect colonization is an important tool to prevent and control the spread of microorganisms especially among Hematopoietic Stem Cell Transplant (HSCT) patients. Colonization by Multidrug-resistant organisms (MDRO) has been evaluated as a risk factor for blood stream infection (BSI) in HSCT patients. The aim of this study was to evaluate the use of routine surveillance culture to screening colonization and infection by carbapenem-resistant Enterobacteriaceae (CRE), carbapenem-resistant Pseudomonas aeruginosa (CRPa) and vancomycin-resistant enterococci (VRE) in a HSCT unit. Methods Surveillance cultures were collected from patients admitted to the HSCT unit over one-year, with swabs for cultures on admission and then weekly until discharge. We compared surveillance culture positivity for each site and agent, also clinical and epidemiological data according to the colonization status. Results 200 HSCT patients underwent surveillance, with 1.323 samples collected. Infection due to MDRO occurred in 52 (21.5%) patients, among them 45 (86.5%) were blood stream infection (BSI) and 12 (23%) had positive surveillance culture before infection. 554 (41.8%) surveillance cultures were performed for CRPa, 413 (31.2%) for VRE, and 356 (27%) for CRE. Of these, 179 (13.5%) surveillance culture were positive, with greater positivity for oropharynx (6, 35.3%) CRPa, and rectal samples (16, 20.7%) for CRE. Being colonized by any MDRO, CRE (p <0.001) and CRPa (p = 0.027) was associated with a higher risk of infection in the bivariate analysis but being colonized was not associated with risk of death. Conclusion Previous colonization by MDRO was a significant risk factor for infection by these pathogens, mainly colonization by CRE. Overall, rectal swab was the best site with the higher positivity, and the oropharynx was also an option for CRPa investigation. Feces culture showed low positivity and should be avoided. Although the impact of the strategy on the mortality of patients undergoing HSCT is not clear, VRE surveillance should be questioned in auto-HSCT patients as it has an additional cost and little impact on survival.
M-health Services Equipped with Public-Sector Community Health Centers in China: Investigating Adoption using UTAUT and Channel Expansion Theory
Authors: Chudhery Muhammad Adnan Zahid , Safdar Sarah , Li Fenggang , Rehman Hakeem-Ur , Rafique Raza , Huo Jiazhen , Gao Luan 
Published: November 2020

Abstract
Background: This study is to investigate the acceptance of a public-private joint venture, which is formed in-between public-sector community health centers (PCHC) and private-sector m-health service providers and can be a potential solution for two practical problems. The first problem is about PCHCs, which are operating about forty-one percent underutilization rates. The second problem is the lack of a revenue-generating business model for m-health service providers' while having a surprising number of registered users with daily health-care consultation queries. This joint venture will help to bridge the strengths of the public-sector health-care system (e.g., highly qualified doctors, offline health-care facilities) with the strengths of private-sector m-health service providers (e.g., a dramatic number of registered users, daily health-care consultation queries) resulting in a win-win situation for both parties. Methods: The data collected from doctors associated with a territory hospital in Hefei, China, and analyzed using partial least squares, a structural equation modeling technique. Results: This study extended the unified theory of acceptance and use of technology with the channel expansion theory. We explored that perceived media richness, government support, effort, and performance expectancies positively influence behavioral intention to deliver health-care consultation using m-health services that are equipped with PCHCs. Surprisingly, social influence and facilitating conditions found insignificant in the Chinese context. Conclusion: It can help the government healthcare authorities, and policymakers to build confidence in PCHCs, and to improve PCHC resource utilization. It can help m-health service providers to build confidence in m-health services resulting in a revenue-generating business model.