bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inflammation biomarker discovery in Parkinson's disease and atypical parkinsonisms
Authors: Santaella Anna , Kuiperij H. Bea , Rumund Anouke van , Esselink Rianne A.J. , Gool Alain J. van , Bloem Bas R. , Verbeek Marcel 
Published: September 2019

Abstract
Background : Parkinson’s disease (PD) and atypical parkinsonisms (APD) have overlapping symptoms challenging an early diagnosis. Diagnostic accuracy is important because PD and APD have different prognosis and response to treatment. We aimed to identify inflammatory biomarkers in cerebrospinal fluid (CSF) using the multiplex proximity extension assay (PEA) technology to identify diagnostic biomarkers of PD and APD and to study possible correlations of biomarkers with disease progression. Methods : CSF from a longitudinal cohort study consisting of PD and APD patients (PD, n = 46; multiple system atrophy (MSA) , n = 15; vascular parkinsonism (VaP) , n = 9; and PD with VaP, n = 7) and controls (n = 25) were analyzed. Results : Concentrations of CCL28 were elevated in PD compared to controls (p < 0.05). Five other biomarkers differentiated both MSA and PD from controls (p < 0.05) and 10 biomarkers differentiated MSA from controls, of which two proteins, i.e. beta nerve growth factor (β-NGF) and Delta and Notch like epidermal growth factor-related receptor (DNER) , were also present at lower levels in MSA compared to PD (both p = 0.032). Two biomarkers (MCP-1 and MMP-10) positively correlated with PD progression (rho > 0.600; p < 0.01). Conclusions : PEA technique identified potential new CSF biomarkers to help to predict the prognosis of PD. Also, we identified new candidate biomarkers to distinguish MSA from PD.
Evaluating physicians' perspective on the efficiency and effectiveness of the electronic prescribing system
Authors: Khajouei Reza , Abbasi Reza , Raeesi Ahmad 
Published: September 2019

Abstract
Background The implementation of the electronic prescribing system follows certain objectives and the users' perspectives can contribute to understanding the efficiency and effectiveness of this system. The aim of this study was to evaluate physicians' perspective on the efficiency and effectiveness of the electronic prescribing system.Methods This study was conducted on all physicians using the electronic prescribing system in clinics and hospitals affiliated with the treatment deputy of the Social Security Organization in Sistan and Baluchistan province in Iran. Data were collected using a questionnaire with a reliability of α=94% that was developed and validated for this study.Results The mean and standard deviation of the efficiency and effectiveness of the electronic prescribing system were 3.68±0.67 and 3.84±0.65, respectively. Patient safety had the highest mean score among all the dimensions (4.0±0.64). Most participants (n=55, 79%) considered the efficiency and effectiveness of this system high. More than 90% of the physicians (n=63) believed that the electronic prescribing system enables a better medication prescription by providing alerts and access to patients’ medication history.Conclusion The findings showed that most physicians believed that the electronic prescribing system of Iran's SSO has high efficiency and effectiveness. In particular, using this system improves patient safety and reduces costs.
Cardiovascular Disease Prediction System Using Extra Trees Classifier
Authors: Shafique Rahman , Mehmood Arif , ullah Saleem , Choi Gyu Sang 
Published: September 2019

Abstract
Heart Disease as cardiovascular disease is the leading cause of death for both men and women. It is the major cause of morbidity and mortality in present society. Therefore, researchers are working to help health care professionals in diagnosing process by using data mining techniques. Although the health care industry is richer in the database this data is not properly mined in order to discover hidden patterns and can able to make decisions based on these patterns. The major goal of this learning refers the extraction of hidden layers by applying numerous data mining techniques that probably give remarkable results in order to ensure the presence of cardiovascular disease among peoples. Data mining classification techniques are used to discover these patterns for research in medical industry. The dataset containing 13 attributes has analyzed for prediction system. The dataset contains some commonly used medical terms like blood pressure, cholesterol level, chest pain and 11 other attributes used to predict cardiovascular disease. The most common and effective classification techniques that are used in mining process are Verdict Tree commonly known as Decision Tree, Extra Trees Classifier, Random Forest, Support Vector Machine, Naive Bays and Logistic Regression has analyzed in this paper. Diagnosing and controlling ratio of deaths from cardiovascular disease Extra classifier trees consider is the best approach. We evaluate these prediction models by using evaluation parameters which are Accuracy, Precision, Recall, and F1-score. As per our experimental results shows accuracy of Extra trees classifier, Logistic Model tree classifier, support vector machine, and naive bays classifiers are 90%, 88%, 87%, 86% respectively. So as per our experiment analysis Extra Tree classifier with highest accuracy considered best approach for predication cardiovascular disease.
Men’s view on participation in decisions about Prostate-Specific Antigen (PSA) screening: Patient and public involvement in development of a survey
Authors: Birkeland Søren , Pedersen Susanne S , Haakonsson Anders K , Barry Michael J , Rottmann Nina 
Published: September 2019

Abstract
Background: Prostate-Specific Antigen (PSA) screening for early detection of prostate cancer (PCa) may prevent some cancer deaths, but also may miss some cancers or lead to unnecessary and potentially harmful treatment. Therefore, involving patients in decision-making about PSA screening may be warranted. However, we know little about the views of men on their participation in decisions about PSA screening and how to assess such views. The purpose of this paper is to describe patient and public participation in the development of a national, web-based case vignette survey for studying men’s view on participation in decision-making about PSA screening.

Methods: The survey includes multiple vignette variants representing various levels of patient participation in decision-making about PSA screening with different outcomes. Additionally, the survey includes questions on respondents’ satisfaction with imagined courses of health care, their propensity to initiate a malpractice complaint, their own health care experiences, socio-demography, personality, and preferences for control regarding health care decision-making. Following feedback from a workshop with academic peers on study aims and procedures, a group of 30 adult men was engaged to help develop case vignette versions and questionnaire items by providing feedback on structure, comprehension, response patterns, and time required to complete the survey. Furthermore, a panel of three patients with PCa experience was assembled to assist development through a separate review-and-feedback process.

Results: Based on reviews of survey drafts, the large group made further suggestions about construction of the survey (e.g. clarification and modification of case vignette versions, deletion of items and adjustment of wording, changes of instructions to guide respondents, replacement of technical terms, and optimization of sequence of survey elements). The patient panel ensured fine-tuning of vignette versions and questionnaire items and helped review the internet version of the survey.

Conclusions: Patient and public involvement during various phases of the survey development helped to improve survey structure and content. The survey exemplifies a way to measure health care users’ satisfaction with imagined courses of health care and wish to complain, taking into account their characteristics.
International publication trends in Biomedical Signal Processing research: A bibliometric analysis (2009-2018)
Authors: Cui Yanbin , Zhang Ping , Kang Yan , Zhou Liang 
Published: September 2019

Abstract
Background This study aimed to analyze and assess the scientific outputs of biomedical signal processing by using bibliometric analysis.Methods Data were obtained from the WoSCC of Thomson Reuters, on January 21, 2019. VOSviewer (Leiden University, Van Eck and Waltman, Netherlands) and carrot 2 (Poznan University of Technology, Dawid Weiss, Poland) were used to analyze the knowledge maps and clusters of countries, research area and hot topics.Results A total of 335 articles on biomedical signal processing were identified. The number of publications increased only mildly during from 2009 (n=14) to 2018 (n=62). The majority of articles were published in the USA, and the leading institute was University of California System. Van Huffel S was the top authors on the topic, and the research area of “Engineering” generated the most publications. Cluter analysis (keywords and terms) indicated that “algorithm” and “extracted features” was the most hot topics on biomedical signal processing.Conclusion Overall, Through analysis of biosignal single processing related research in the past 10 years, the results found that the close international cooperation in this field, and the future research trends may be the signal acquisition methods and signal processing algorithms. They can provide reference for researchers in related field to choose research directions and find cooperative resources.
Avatar-based versus conventional vital signs display in a central monitor for monitoring multiple patients: A multicenter computer-based laboratory study
Authors: Garot Olivier , Rössler Julian , Pfarr Juliane , Ganter Michael T. , Spahn Donat R. , Nöthiger Christoph B. , Tscholl David Werner 
Published: September 2019

Abstract
Background Maintaining adequate situation awareness is crucial for patient safety. Previous studies found that the use of avatar-based monitoring (Visual Patient Technology) improved the perception of vital signs compared to conventional monitoring showing numerical and waveform data; and was further associated with a reduction of perceived workload. In this study, we aimed to evaluate the effectiveness of Visual Patient Technology on perceptive performance and perceived workload when monitoring multiple patients at the same time, such as in central station monitors in intensive care units or operating rooms.Methods A prospective, within-subject, computer-based laboratory study was performed in two tertiary care hospitals in Switzerland in 2018. Thirty-eight physician and nurse anesthetists volunteered for the study. The participants were shown four different central monitor scenarios in sequence, where each scenario displayed two critical and four healthy patients simultaneously for 10 or 30 seconds. After each scenario, participants had to recall the vital signs of the critical patients. Perceived workload was assessed with the National Aeronautics and Space Association Task-Load-Index (NASA TLX) questionnaire.Results In the 10-second scenarios, the median number of perceived vital signs significantly improved from 7 to 11 using avatar-based versus conventional monitoring with a median of differences of 5 vital signs, p < 0.001. At the same time, the median NASA TLX scores were significantly lower for avatar-based monitoring (67 vs. 77) with a median of differences of 5 points, p = 0.024. In the 30-second scenarios, vital sign perception and workload did not differ significantly.Conclusions In central monitor multiple patient monitoring, we found a significant improvement of vital sign perception and reduction of perceived cognitive workload using Visual Patient Technology, compared to conventional monitoring. The technology enabled improved assessment of patient status and may, thereby, increase situation awareness and enhance patient safety.
miRNA-210 promotes the progression of hepatitis B cirrhosis to liver cancer via targeting inhibition of EGR3
Authors: Li Xiaojie , Yuan Mei , Song Lu , Wang Yan 
Published: September 2019

Abstract
Background: This paper was aimed to research the mechanism of miRNA-210 in the progression of hepatitis B cirrhosis to liver cancer. Methods: Health examiners liver tissues (Control group), liver tissues of patients with hepatitis B cirrhosis (Cirrhosis group) and liver cancer tissues of patients induced by hepatitis B virus infection (Liver cancer group) were collected. HL-7702, HepG2 and HepG2.2.15 cells were cultured. HepG2 and HepG2.2.15 cells were transfected by miRNA-210 inhibitor (miRNA-210 Inhibitor group) and its negative control (miRNA-210-NC group). Normal HepG2 and HepG2.2.15 cells were named Blank group. Cells proliferation and apoptosis was analyzed. qRT-PCR technology, Western blot analysis and dual luciferase reporter gene assay were performed. Results: Tissues of Liver cancer group had higher miRNA-210 and lower EGR3 expression than Cirrhosis group (P < 0.05). Increased miRNA-210 and decreased EGR3 expression in HepG2.2.15 cells was presented when compared with those in HepG2 cells (P < 0.05). Compared to Blank group and miRNA-210-NC group, HepG2 and HepG2.2.15 cells of miRNA-210 Inhibitor group had lower A590 value, higher apoptosis rate and EGR3 expression (P < 0.05). EGR3 was directly inhibited by miRNA-210. Conclusions: miRNA-210 might promote the progression of hepatitis B cirrhosis to liver cancer via targeting inhibition of EGR3.
Antioxidant activity and in vitro protein digestibility of chicken feather protein hydrolysates
Authors: oluba olarewaju Michael , Akpor Oghenerobor B. , Alabi Olayinka O. , Shoyombo Ayoola J. , Adeyonu Abigail G. , Adebiyi Feyikemi D. 
Published: September 2019

Abstract
Objective The hydrolysis of chicken feather waste was carried out using sodium hydroxide and the hydrolysed feather solution precipitated using different acids (nitric acid, sulfuric acid, hydrochloric acid and trichloroacetic acid). Hydrolysates of the different acids were evaluated for antioxidant activity via 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging, ferric reducing power and metal chelating activities. In addition, the in vitro protein digestibility of the respective acid hydrolysates was carried out. Results: Data obtained showed that nitric acid-precipitated hydrolysate had the highest DPPH scavenging activity while the hydrolysate precipitated with trichloroacetic acid exhibited the highest ferric (Fe3+) reduction potential. On the other hand, trichloroacetic acid-, sulfuric acid- and nitric acid-precipitated hydrolysates showed similar metal chelating potential compared to hydrochloric acid-precipitated hydrolysate with the least chelating potential. The in vitro protein digestibility of the different hydrolysates ranged from 62.30 ± 1.0% (nitric acid) to 73.10 ± 1.3% (trichloroacetic acid) and were significantly (p < 0.05) higher compared to 23.80 ± 0.5% (raw feather). These results indicate that alkaline-hydrolysed chicken feather hydrolysate may be useful as supplementary protein and antioxidants in animal feed formulations.
Computational MHC-I epitope predictor identifies 95% of experimentally mapped HIV-1 clade A and D epitopes in a Ugandan cohort.
Authors: Lule Daniel Bugembe , Ekii Andrew Obuku , Watera Christine , Ndembi Nicaise , Serwanga Jennifer , Kaleebu Pontiano , Pala Pietro 
Published: September 2019

Abstract
Background: Identifying immunogens that induce HIV-specific immune responses is a lengthy process that can benefit from computational methods, which predict T-cell epitopes for various HLA types. Methods: We tested the performance of the NetMHCpan4.0 computational neural network in re-identifying 93 T-cell epitopes that had been previously independently mapped using the whole proteome IFN-g ELISPOT assays in 6 HLA class I typed Ugandan individuals infected with HIV-1 subtypes A1 and D. Results: NetMHCpan4.0 correctly predicted 88 of the 93 experimentally mapped epitopes for a set length of 9-mer and matched HLA class I alleles. Receiver Operator Characteristic (ROC) analysis gave an area under the curve (AUC) of 0.928. Setting NetMHCpan4.0 to predict 11-14mer length did not improve the prediction (37-79 of 93 peptides) with an inverse correlation between the number of predictions and length set. Late time point peptides were significantly stronger binders than early peptides (Wilcoxon signed rank test: p =0.0000005). Conclusion: NetMHCpan4.0 class I epitope predictions covered 95% of the epitope landscape recognised by HIV-1 infected individuals, and would have reduced the number of experimental confirmatory tests by >80%. Algorithmic epitope prediction in conjunction with HLA allele frequency information can cost-effectively assist immunogen design. Keywords: HIV-1, epitope mapping, T-cell, artificial neural network, in-silico and NetMHCpan4.0.
Characterization of genome-wide genetic variation between two varieties of tea plant (Camellia sinensis) and development of InDel markers for genetics research
Authors: Liu Shengrui , An Yanlin , Tong Wei , Qin Xiuju , Samarina Lidia , Guo Rui , Xia Xiaobo , Wei Chaoling 
Published: September 2019

Abstract
Single nucleotide polymorphisms (SNPs) and Insertions/Deletions (InDels) are the major genetic variations and distributed extensively across the plant whole genome. Few investigations of these variations, however, have been performed in the long-lived perennial tea plant. Here, we have investigated the genome-wide genetic variation between Camellia sinensis var. sinensis ‘Shuchazao’ and Camellia sinensis var. assamica ‘Yunkang 10’, generating 7,511,731 SNPs and 255,218 InDels based on their whole genome sequences, and subsequently analyzed their distinct types and distribution patterns. A total of 48 InDel markers that yielded polymorphic and unambiguous fragments were developed when screening six tea cultivars. These markers were further deployed on forty-six tea cultivars for transferability and genetic diversity analysis, exhibiting informative with an average 4.02 of the number of alleles ( Na ) and 0.457 of polymorphism information content (PIC). The dendrogram showed that the phylogenetic relationships among these tea cultivars are highly consistent with their genetic backgrounds or original places. Interestingly, we observed that the content of catechin/caffeine between ‘Shuchazao’ and ‘Yunkang 10’ were significantly different, and a large number of SNPs/InDels were identified within catechin/caffeine biosynthesis-related genes. The identified genome-wide genetic variation and newly-developed InDel markers will provide a valuable resource for tea plant genetics and genomics studies, especially those SNPs/InDels within catechin/caffeine biosynthesis-related genes can be served as pivotal candidates for elucidating the molecular mechanism of catechin/caffeine biosynthesis.
Insights on bio-degumming of kenaf bast based on metagenomi and proteomics
Authors: Duan Shengwen , Cheng Lifeng , Feng Xiangyuan , Yang Qi , Liu Zhiyuan , Zheng Ke , Peng Yuande 
Published: September 2019

Abstract
Background: Microbia play important roles in kanef-degumming. This study is to identify the key candidate microbia and proteins responsible for the degumming of kenaf (Hibiscus cannabinus) bast. Kenaf bast was cut into species and immersed into microbial fermentation liquid collected from different sites. Fermentation liquid samples were collected at 0, 40, 110 and 150 h and the subjected to the 16S/18S rRNA sequencing analysis and isobaric tag for relative and absolute quantitation (iTRAQ) analysis. The microbial (bacterial and fungal) diversity and the differentially expressed proteins/peptides (DEPs) were identified. Results: With the prolonged degumming time, the weight loss rate increased, the bacterial diversity was decreased. [Weeksellaceae], Enterobacteriaceae and Moraxellaceae were rapidly increased at 0~40 h, and then decreased and were gradually replaced by Bacteroidaceae from 40 h to 150 h. Similarly, Chryseobacterium and Dysgonomonas were gradually increased at 0~110 h and then decreased; Acinetobacter and Lactococcus were increased at 0~40 h, followed by decrease. Bacteroides was the dominant genus at 150 h. 18S rRNA-seq showed the gradually decreased Wallemiaichthyophaga and increased Sclerotiniahomoeocarpa LT30 during degumming. iTRAQ data analysis showed Rds1, and pyruvate kinase I was decreased and increased in the kanef-degumming. Other DEPs of ferredoxin I, superoxide dismutase and aconitatehydratase were identified to be related to the Glyoxylate and dicarboxylate metabolism (ko00630). Conclusions: Bacteria including Chryseobacterium, Dysgonomonas, Acinetobacter, Lactococcus and Bacteroidesand fungi like Wallemia ichthyophaga are key candidate microbia for kanef degumming.
Triplicate renal biopsies using core-cutting needles of different gauges in dogs
Authors: Crivellenti Leandro Zuccolotto , Borin-Crivellenti Sofia , BRaz Larissa Ayane do Nascimento , Maia Suellen Rodrigues , Farias Luciano Alves , Pereira Daniel Peixoto 
Published: September 2019

Abstract
Renal biopsy plays an important role in the diagnosis and management of renal disease, and core needle biopsy remains one of the most important investigation tools for this purpose in dogs. The size and quality of the biopsy material are likely to be important factors in achieving an accurate diagnosis. The aim of this study was to compare the success and complication rates of renal biopsy procedures performed in triplicates using needles of different gauges during open surgery.
RESULTS: One hundred fifty-six biopsy samples were obtained from 52 dogs. Renal biopsies were performed using semi-automated biopsy needles of three different gauges, and subjected to histopathological examination and evaluation of complications. The 14G needle produced more severe hematomas than the 18G and 16G needles ( P = 0.019 ). The longest post-biopsy microscopic hematuria observed ceased within five days after the procedure. Microscopic hematuria lasted longer in animals subjected to biopsy using 18G needles. There were no significant differences between needle gauges regarding macroscopic hematuria and number of erythrocytes in the urine immediately after biopsy. The numbers of glomeruli retrieved using 14G (29.8±26.5) or 16G (27.1±14.6) needles differed from those retrieved using 18G needles (17.5±9.3).
CONCLUSION: The three needle gauges tested in this study are safe for use in renal biopsy using a semi-automated biopsy gun. The thicker needles provide more glomeruli, and, therefore, are more useful for diagnostic purposes. The use of 14G needles may be associated with more complications, and the 16G needle appears to offer the best compromise between diagnostic usefulness and biopsy-related complications.
Direct detection of tick-borne pathogens in Ixodes ricinus ticks collected from dogs and cats in Tuscany, Italy
Authors: Chisu Valentina , Foxi Cipriano , Masu Gabriella , Amaddio Barbara D' , Masala Giovanna 
Published: September 2019

Abstract
Ticks are able to transmit pathogens which represent an health risk for domestic animals and humans. In this study, ticks morphologically identified as Ixodes ricinus were collected from dogs and cats presented at local veterinary practice in Pistoia, Tuscany. Ticks were examined by PCR in order to detect tick-borne pathogens. Out of 37 I. ricinus ticks analyzed, one tick (3%) was 100% similar to R. helvetica after PCR analyses and sequencing. DNA of Eh. canis was detected in four I. ricinus ticks (12%) . Bartonella spp. DNAs with 100% identity with Bartonella henselae were identified in two I. ricinus (5%) collected from one dog and one cat. One tick showed 100% similarity with C. abortus , while 16 I. ricinus ticks exhibithed DNA of C. psittaci . DNAs of piroplasmids, Anaplasma spp., and C. burnetii were not detected in this study. Findings expand knowledge about the repertoire of tick-borne bacteria present in ticks from Tuscany and indicate that cats and dogs are exposed to tick-borne pathogen which represent a medical risk for their owners.