bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Cognition and Flow Study (CogFlowS): A Mixed Method Evaluation of A Randomised Feasibility Trial of Cognitive Training in Dementia
Authors: Beishon Lucy , Haunton Victoria , Bradbury-Jones Caroline , Subramaniam Hari , Mukaetova-Ladinska Elizabeta B. , Panerai Ronney , Robinson Thompson , Evley Rachel 
Published: September 2021

Abstract
BackgroundCognitive training (CT) may bebeneficial in delaying the onset or slowing dementia progression. CT has been evaluated quantitatively and qualitatively, but none have used mixed methods approaches. The aim of this study was to use a mixed methods approach to identify those who may selectively benefit from CT.MethodsThis was an explanatory sequential mixed methods study involving a quantitative randomised trial of 12 weeks multi-domain CT in healthy older adults (n=20), and people living with mild cognitive impairment (MCI; n=12) and dementia (n=24). Quantitative outcomes included:cognition, mood, quality of life and activities of daily living.Subsequently, twenty-five training participants were invited to a semi-structured interview with their carer. Quantitative and qualitative data were integrated using joint displays of quantitative outcomes arrayed against themes from the qualitative interviews. ResultsDrop-outs and lower adherence to training were more common in dementia participants who had higher number of barriers, of which fewer were modifiable. High adherers were more resilient to negative emotions, and poorer or fluctuating performance. Quantitative and qualitative analysis demonstrated that the majority of participants (n=24) benefited across outcomes, with no clear profile of individuals who benefited more than others. Participants made a number of key recommendations to improve adherence and minimise drop-out to future CT studies. ConclusionReasons for drop-out and low adherence were identified, with recommendations provided for the design of future CT studies in dementia. An individual approach to training should be adoptedand low adherence should not preclude enrolment to CT programmes.
Machine Learning Techniques to Predict Daily Rainfall Amount
Authors: Liyew Chalachew Muluken , Melese Haileyesus Amsaya 
Published: September 2021

Abstract
It is crucial to predict the amount of daily rainfall to improve agricultural productivities to secure food, and water quality supply to keep the citizen healthy. To predict rainfall, various researches are conducted using data mining and machine learning techniques of different countries’ environmental datasets. The Pearson correlation technique is used to select relevant environmental variables which are used as an input for the machine learning model of this study. The main objective of this study is to identify the relevant atmospheric features that cause rainfall and predict the intensity of daily rainfall using machine learning techniques. The dataset is collected from the local meteorological office to measure the performance of three machine learning techniques as Multivariate Linear Regression, Random Forest and Extreme Gradient Boost. Root mean squared error and Mean absolute Error are used to measure the performance of the machine learning model for this study. The result of the study shows that the Extreme Gradient Boost gradient descent machine learning algorithm performs better than others.
Establishment of Galectin-3 time-resolved fluoroimmunoassay and its application in idiopathic membranous nephropathy
Authors: Yu xiaomei , Chen Lingli , Lin Bo , Zhang Li , Yang Xue , Liu Xiaobin , Xia Pengguo , Liu Yueming , Zheng Shaoxiong , Zhou Xiumei , Wang Yigang , Qin Yuan , Wang Liang , Hu Zhigang , He Qiang , Huang Biao 
Published: September 2021

Abstract
Objectives
The aim of this study was to establish a time-resolved fluorescent immunoassay (TRFIA) for the detection of serum galactose agglutinin 3 (Gal-3) and apply this method to evaluate the clinical significance of serum Gal-3 in predicting Idiopathic Membranous Nephropathy (IMN) progression.
Methods
The Gal-3-TRFIA was established using the double antibody sandwich method, with the capture antibodies coated on a 96-well microplate and the detection antibodies chelated to Europium (III) (Eu3+). Serum Gal-3 was detected in 81 patients with IMN and 123 healthy controls to further evaluate the value of the Gal-3 in staging of IMN.
Results
The sensitivity of the Gal-3-TRFIA assay was 0.85 ng/mL, and the detection range was 0.85–1000 ng/mL. The Gal-3 intra-batch and inter-batch coefficients of variation were 3.45% and 5.12%, respectively. The correlation coefficient (R) between the Gal-3-TRFIA assay and commercially available enzyme-linked immunosorbent assay kits was 0.83. The serum Gal-3 concentration was higher in patients with IMN (65.57 ± 55.90 ng/mL) compared to healthy controls (16.29 ± 9.91 ng/mL, P < 0.0001).
Conclusions
In this study, a wide detection range Gal-3-TRFIA assay was developed using lanthanide (Eu3+) chelates for the detection of Gal-3 concentrations in serum. The Gal-3-TRFIA also detected the severity of the IMN course.
Overcoming Language Barriers, Enhancing Collaboration With Interpreters – An Interprofessional Learning Intervention (Interpret2improve)
Authors: Krampe Franziska , Fabry Götz , Langer Thorsten 
Published: September 2021

Abstract
Background: Language barriers (LB) are common in patient care. They can negatively impact the quality of care, and increase costs. LB can be overcome by using interpreters. However, collaboration with interpreters is a professional activity which can and needs to be learnt. Interpret2Improve is an innovative educational intervention where medical and nursing students learn together how to address LB and effectively collaborate with interpreters.Methods: The three-hour course has two parts: After a short introduction on the relevance of LB and resulting issues of patient safety etc., students in interprofessional teams of two practice conversations with non-German-speaking simulated patients and professional interpreters. The course is evaluated in a pre-post format with the Freiburg Questionnaire for Interprofessional Learning Evaluation which has been validated in prior studies. Results: 51 students (thirty of the participants were medical students, 21 participants were students in nursing care) participated from 11/2016–07/2018. Overall, the course was very well received (mean 1.73 (SD 0,85) on a five point scale: 1= very good, 5=insufficient). The evaluation by medical and nursing students differed significantly. 14 out of 21 items show a self-assessed increase in interprofessional knowledge or skills. Conclusions: Students felt that their skills in adressing LB by effectively collaborating with interpreters increased during this interprofessional format. Further studies are needed to obtain further evidence beyond self-assessment and regarding the longterm outcomes.
Comparative Genomics and Phylogenetic Relationships of Two Endemic and Endangered Species (Handeliodendron Bodinieri and Eurycorymbus Cavaleriei) of two Monotypic Genera within Sapindales
Authors: Yang Jiaxin , Hu Guoxiong , Hu Guangwan 
Published: September 2021

Abstract
Background
Handeliodendron Rehder and Eurycorymbus Hand.-Mazz. are the monotypic genera in the Sapindaceae family. The phylogenetic relationship of these endangered species Handeliodendron bodinieri (Lévl.) Rehd. and Eurycorymbus cavaleriei (Lévl.) Rehd. et Hand.-Mazz. with other members of Sapindaceae s.l. is not well resolved. A previous study concluded that the genus Aesculus might be paraphyletic because Handeliodendron was nested within it based on small DNA fragments. Thus, their chloroplast genomic information and comparative genomic analysis with other Sapindaceae species are necessary and crucial to understand the circumscription and plastome evolution of this family.
Results
The chloroplast genome sizes of Handeliodendron bodinieri and Eurycorymbus cavaleriei are 151,271 and 158,690 bp, respectively. Results showed that a total of 114 unique genes were annotated in H. bodinieri and E. cavaleriei, and the ycf1 gene contained abundant SSRs in both genomes. Comparative analysis revealed that gene content, PCGs, and total GC content were remarkably similar or identical within 13 genera from Sapindaceae, and the chloroplast genome size of four genera was generally smaller within the family, including Acer, Dipteronia, Aesculus, and Handeliodendron. IR boundaries of the H. bodinieri showed a significant contraction, whereas it presented a notable expansion in E. cavaleriei cp genome. Ycf1, ndhC-trnV-UAC, and rpl32-trnL-UAG-ccsA were remarkably divergent regions in the Sapindaceae species. Phylogenetic analysis based on different datasets, including whole chloroplast genome sequences, coding sequences, large single-copy, small single-copy, and inverted repeat regions, consistently demonstrated that H. bodinieri was sister to the clade consisted of Aesculus chinensis and A. wangii, strongly support Eurycorymbus cavaleriei as sister to Dodonaea viscosa.
Conclusion
This study revealed that the cp genome size of the Hippocastanoideae was generally smaller across Sapindaceae, and three highly divergent regions could be used as the specific DNA barcodes within Sapindaceae. Phylogenetic results strongly support that the subdivision of four subfamilies within Sapindaceae, and Handeliodendron is not nested within the genus Aesculus.
Experimental Study On The Influence of Mental Fatigue On Risk Decision Making of Miners
Authors: Jia Aifang , Guo xinyue , Tian Shuicheng 
Published: September 2021

Abstract
Mental fatigue increases risk-taking behavior. Using data collected between June 15 and August 6, 2020, this study investigates the impact of miners’ mental fatigue on risk decision-making to improve risk prevention and prediction abilities, and to reduce the occurrence of coal mine safety accidents. A total of 274 and 33 people participated in the preliminary and formal experiments, respectively. The participants, who were coal miners, visited the lab thrice to complete the pre-experiment, Balloon Analog Risk Task (BART), Iowa Gambling Task (IGT). On the BART, mental fatigue displayed a significantly positive association with risk preference. On the IGT, as mental fatigue increased, net scores continuously decreased, while the frequency of making unfavorable decisions and the probability of taking risks increased. The BART value had no or weak correlations with the net score. Results suggest that mental fatigue leads to an increasing propensity to take risks. Therefore, regarding coal mine safety management, further attention is necessary concerning miners’ mental health, addressing mental fatigue, increasing rest time, and reducing night work. Furthermore, reasonable diet, improved working environments, and a positive attitude toward work should be promoted to reduce or eliminate mental fatigue and avoid decision-making errors that could cause accidents.
Machine Learning Fake News Classification with Optimal Feature Selection
Authors: Fayaz Muhammad , Khan Atif , Bilal Muhammad , Khan Sanaullah 
Published: September 2021

Abstract
Nowadays, information is published in newspapers and social media while transmitted on radio and television about current events and specific fields of interest nationwide and abroad. It becomes difficult to explicit what is real and what is fake due to the explosive growth of online content. As a result, fake news has become epidemic and immensely challenging to analyze fake news to be verified by the producers in the form of data process outlets not to mislead the people. Indeed, it is a big challenge to the government and public to debate the situation depending on case to case. For the purpose several websites were developed for this purpose to classify the news as either real or fake depending on the website logic and algorithm. A mechanism has to be taken on fact-checking rumors and statements, particularly those that get thousands of views and likes before being debunked and refuted by expert sources. Various machine learning techniques have been used to detect and correctly classified of fake news. However, these approaches are restricted in terms of accuracy. This study has applied a Random Forest (RF) classifier to predict fake or real news. For this prpose, twenty-three (23) textual features are extracted from ISOT Fake News Dataset. Four best feature selection techniques like Chi2, Univariate, information gain and Feature importance are used for selecting fourteen best features out of twenty-three. The proposed model and other benchmark techniques are evaluated on the dataset by using best features. Experimental findings show that, the proposed model outperformed state-of-the-art machine learning techniques such as GBM, XGBoost and Ada Boost Regression Model in terms of classification accuracy.
Tetraphenylethylene-Based Fluorescent Conjugated Microporous Polymers For Fluorescent Sensing Trinitrophenol
Authors: Ren Liying , Fang Xue-Chun , Wang Feng-Qiang , Geng Tongmou 
Published: September 2021

Abstract
Two tetraphenylethylene-based fluorescent conjugated microporous polymers (TTTPT and TTDAT) were obtained by the Friedel−Crafts polymerization reactions catalyzed by CH3SO3H. In virtue of containing tetraphenylethylene, triphenylamine and s-triazine units in their porous skeletons, the resulting TTTPT and TTDAT show excellent fluorescence sensing performance for trinitrophenol with high quenching coefficients of 9.13×103 and 1.31×105 L mol-1, respectively. TTDAT can also sense to dinitrophenol with the Ksv of 2.70×104 L mol-1. The fluorescent quenching mechanisms of TTTPT and TTDAT for selective detecting TNP attribute to conventional photoinduced electron-transfer mechanism and/or the resonant energy transfer mechanism.
Effects of Estimated Glomerular Filtration Rate on Clinical Outcomes in Patients with Intracerebral Hemorrhage
Authors: Li zhaoxia , Li Zixiao , Zhou Qi , Gu Hongqiu , Wang Yongjun , Zhao Xingquan 
Published: September 2021

Abstract
Background: The influence of chronic kidney disease (CKD) on severity and prognosis of spontaneous intracerebral hemorrhage (ICH) is scarcely investigated. We aimed to explore the association of admission estimated glomerular filtration rate (eGFR) levels with stroke severity and outcomes in ICH patients.Materials and Methods: The patients enrolled in this study were from the China Stroke Center Alliance study (CSCA). Patients were divided into four groups according to different admission eGFR levels (≥90;60-89;45-59;<45). Multivariable logistic regression analysis was used to determine the association of admission eGFR levels with stroke severity, in-hospital complications, discharge deposition, and in-hospital mortality after ICH.Results: 85167 patients with acute ICH were included in the present analysis. Among them, 9493 (11.1%) had baseline eGFR＜60 ml/min/1.73 m2. Low eGFR was associated with increasing risk of in-hospital mortality [eGFR 60-89 ml/min/1.73 m2, odds ratios(OR) 2.07(95% confidence interval(CI) 0.45 -9.4); eGFR 45-59, 8.43 (1.15- 61.98); eGFR＜45, 13.92 (2.22 - 87.15); P for trend < 0.0001]after adjusting for the confounding factors. With the declining of eGFR, the risk of non-routine disposition and hematoma evacuation increased in patients with eGFR 45 to 59 ml/min/1.73 m2(OR 8.43; 95%CI 1.15-61.98 and OR 3.36; 95% CI 1.2-9.44, respectively). No significant association between different level of eGFR at baseline and stroke severity, in-hospital complication such as pneumonia, hydrocephalus, rebleeding were observed.Conclusions: Low eGFR at baseline was associated with increased risk of in-hospital mortality, non-routine disposition and hematoma evacuation but not with stroke severity and in-hospital complications in acute ICH patients.
New Discovery of Left Atrial Macroreentry Tachycardia: Originating from the Spontaneous Scarring of Left Atrial Anterior Wall
Authors: Zhu Xuefeng , Chu Hongxia , Li Jianping , Wang Chunxiao , Li Wenjing , Wang Zhen , Xu Zhiyuan , jing yanyan , Zhao Ruifu , Zhong Lin , Hu Naibao 
Published: September 2021

Abstract
Aims: This study sought to describe originating from the spontaneous scarring of left atrial anterior wall (LAAW) left atrial macroreentry tachycardia (LAMRT) clinical and electrophysiological characteristics, mechanisms, the formation of substrates.Methods and Results: 9 of 123 patients (89% female, age 79.78±5.59 years) had LAMRT originating from the LAAW and no cardiac surgery or prior left atrial (LA) ablation. The mean tachycardia cycle length (TCL) was 241.67±38.00 milliseconds. Spontaneous scars areas and low voltage areas (LVAs) in the LAAW were found in all patients. Successful ablation of the critical isthmus caused terminated of the LAMRT and was not inducible in all patients. Arrhythmogenic substrates of LAMRT were the spontaneous scars of LAAW, which matched with the aorta or/and pulmonary artery contact area. The area under the curve (AUC) of age and combination of gender and age for predicting the LAMRT originating from the LAAW were 0.918 and 0.951, respectively, with a cutoff value of ≥73.5 years of age and gender (female) predicting LAMRT with 88.9% sensitivity and 89% specificity.Conclusion: Combination of gender and age provides a simple and useful criterion to distinguish LAMRT from cavo-tricuspid isthmus (CTI) -dependent atrial tachycardia in macroreentry atrial tachycardia (MRAT) in patients without a history of surgery or ablation. Aorta or/and pulmonary artery contacting LA may be related to spontaneous scars. Ablation the isthmus eliminated LAMRT in all patients.
MicroRNA-183-5p Promote Hepatocellular Carcinoma Proliferation Via Accelerating Pyroptosis By Targeting FoxO1
Authors: Chang Yu ling , Niu Yaqian , Liu Fang , Song Yan mei , Chu Huiyuan , Bao Shisan , Chen Che 
Published: September 2021

Abstract
Hepatocellular carcinoma (HCC) is the second leading cause of cancer worldwide, causing 700,000 deaths annually. Despite decades of extensive research of HCC, the prognosis of HCC remains unsatisfactory, mainly due to lack of reliable sensitive biomarkers. Therefore, it is fundamentally important to identify novel biomarkers for early diagnosis of HCC, as well as explore the underlying mechanisms of HCC progression. Pyroptosis, a highly inflammatory form of lytic programmed cell death, is attracting more attention in HCC. microRNAs are involved in the regulation of pyroptosis. miR-183-5p, an oncogene, is up-regulated in HCC, but it is unclear the relationship between miR-183-5p and pyroptosis in HCC, which was investigated in vitro. Our data demonstrated that miR-183-5p promoted proliferation of HCC, accompanied with upregulating pyroptosis related molecules, as well as IL-1β/IL-18.
Analysis of The Status Quo and Influencing Factors of The Death Coping Self-Efficacy of Clinical Nurses: A Cross-Sectional Study
Authors: Lin Xi , Li Xiaoqin , Liu Qin , Xiang Weilan 
Published: September 2021

Abstract
Background

Nurses are the main caregivers to dying patients. It is inevitable to face or deal with death-related events. The ability of death-coping self-efficacy (DCS) is very important, which can reduce the risk of nursing staff, suffering from adverse emotional distress and help them to better participate in the end-of-life care of the patients and improve the quality of care.
Methods

Using the convenient sampling method, a total of 572 nurses were included in this study from a tertiary hospital in Hangzhou, China. The situation and influencing factors of the clinical nurses' DCS were explored using the General Information Questionnaires and DCSS. (DCS scale).
Results

The scores of each parameter, ranging from low to high, were as following: grief coping, death preparation, and hospice care. The influencing factors of nurses' DCS included the hospice care education courses received in the last year, the experience of accompanying the family members of the deceased, and the attitude towards death.
Conclusions

The overall self-efficacy of nurses in palliative care was at a medium level and the sense of their self-efficacy in coping with the grief and preparation for death needed to be strengthened. The nursing managers should pay attention to the education and training of palliative care, which will strengthen the psychological and spiritual caring abilities of the nurses for the patients and their families, increase their experience of end-of-life care, improve their cognition of palliative care, and help them in establishing a correct view of death, thereby leading to improve the quality of palliative care.
Hitting The Bullseye: The Psychometric Properties of the Assessment of Burden of Chronic Conditions (ABCC)-Scale in The Netherlands
Authors: Claessens Danny , Boudewijns Esther A. , Keijsers Lotte C.E.M. , Gidding-Slok Annerika H.M. , Winkens Bjorn , Schayck Onno C.P. van 
Published: September 2021

Abstract
Background
Chronic conditions impose a major impact on quality of life and on healthcare. The Assessment of Burden of Chronic Conditions (ABCC-)tool was developed to improve experienced quality of care and quality of life by facilitating shared decision-making and self-management. It assesses the experienced burden of one or multiple conditions, and visualises and integrates the burden in daily care. However, its scale’s validity and reliability are yet unknown. The aim of this study is to evaluate whether the ABCC-scale is valid and reliable in people with Chronic Obstructive Pulmonary Disease (COPD), asthma, or Type 2 Diabetes Mellitus (T2DM).
Methods
The Saint George Respiratory Questionnaire (SGRQ), the Standardized Asthma Quality of Life Questionnaire (AQLQ-S), and the Audit of Diabetes Dependent Quality of Life Questionnaire (ADDQoL19) were compared to the ABCC-scale to assess convergent validity. Convergent validity was assumed when at least 75% of the postulated correlations were higher than 0.7, or between 0.3 and 0.7 for single-item subscales. To measure known-group validity, participants were categorized according to exacerbation status, depression, asthma control, insulin dependence, complications and obesity. The ABCC-scale was deemed internally consistency upon a Cronbach’s alpha ≥ 0.90 for the total scale, and ≥ 0.70 for subscales. Test-retest reliability was evaluated at a two-week interval.
Results
A total of 65, 62, and 60 people with COPD, asthma, T2DM respectively were included. The ABCC-scale correlated, in accordance with hypotheses, with the SGRQ (75%), AQLQ-S (100%), and ADDQoL19 (75%). Differentiation of known-groups based on the ABCC-scale was possible for all specified groups. The total score and subscores of the ABCC-scale were internally consistent with a Cronbach’s alpha of 0.90, 0.92, and 0.91 for the total score for people with COPD, asthma, and T2DM respectively. The ABCC-scale had a good test-retest reliability with an Intraclass Correlation Coefficient of 0.95, 0.93, and 0.95 for people with COPD, asthma and T2DM respectively.
Conclusions
The ABCC-scale is a valid and reliable questionnaire that can be used within the ABCC-tool for people with COPD, asthma or T2DM. Future research should indicate whether this also applies to people with multimorbidity, and what the effects and experiences are upon clinical use.