bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine learning algorithms to predict 30-day readmission in patients with stroke: a prospective cohort study
Authors: Chen Yu-Ching , Chung Jo-Hsuan , Yeh Yu-Jo , Lin Hsiu-Fen , Lin Ching-Huang , Hsien Hong-Hsi , Hung Kuo-Wei , Yeh Shu-Chuan Jennifer , SHI HON-YI 
Published: June 2020

Abstract
Background

No studies have discussed machine learning algorithms to predict the risk of 30-day readmission in patients with stroke. The objective of the present study was to compare the accuracy of the artificial neural network (ANN), K nearest neighbor (KNN), support vector machine (SVM), naive Bayes classifier (NBC), and Cox regression (COX) models and to explore the significant factors in predicting 30-day readmission after stroke.

Methods

This study prospectively compared the accuracy of the models using clinical data for 1,476 patients with stroke treated in six hospitals between March, 2014 and September, 2019. A training dataset (n=1,033) was used for model development, a testing dataset (n=443) was used for internal validation, and a validating dataset (n=167) was used for external validation. A global sensitivity analysis was performed to compare the significance of the selected input variables.

Results

Of all forecasting models, the ANN model had the highest accuracy in predicting 30-day readmission after stroke and had the highest overall performance indices. According to the ANN model, 30-day readmission was significantly associated with post-acute care (PAC) program, patient attributes, clinical attributes, and functional status scores before re-habilitation (all P <0.05). Additionally, PAC program was the most significant variable affecting 30-day readmission, followed by nasogastric tube insertion, and stroke type ( P <0.05).

Conclusions

Comparisons of the five forecasting models indicated that the ANN model had the highest accuracy in predicting 30-day readmission in stroke patients. Before stroke patients are discharged from hospitalization, they should be counseled regarding their potential for recovery and other possible outcomes. These important predictors can also be used to educate candidates for stroke patients who underwent PAC rehabilitation with respect to the course of recovery and health outcomes.
The comparison of Nice knots and traditional methods as an auxiliary reduction-fixation technique in pre-contoured locking plate fixation for comminuted Robinson type 2B clavicle fracture: a retrospective study
Authors: Hong Shengkun , Wang Wei , Guo Jinku , He Feixiong , Wang Cong 
Published: June 2020

Abstract
Background: Open reduction and pre-contoured locking plate fixation is a popular treatment option for displaced midshaft clavicle fracture. Lag screw and cerclage are two main intraoperative techniques to reduce and fix fragments. However, both lag screw and metallic cerclage have disadvantages. The doubled-suture Nice knot has been reported in many areas of orthopedic surgery for its effectiveness. This study aims to compare the outcomes of comminuted mid-shaft clavicle fractures reduced by Nice knots versus traditional techniques (lag screw or/and metallic cerclage) when bridged with pre-contoured locking plates.Methods: We retrospectively reviewed 101 patients (65 females and 36 males) diagnosed with midshaft clavicle fractures with at least one wedge fragment reduced by either Nice knots or traditional methods and bridged with pre-contoured locking plates between December 2016 and April 2019. Operation time, functional outcomes, pain, patient satisfaction, fracture healing and complications were assessed at a follow-up of 12 to 40 months.Results: The mean age of all the patients was 50.8 years. There were 52 and 49 patients in Nice knot group and traditional group respectively, and no differences between two groups was found in general patient characteristics, fracture type, follow up and injury-to-surgery duration. The Nice knot group had significant less operation time (p < 0.01) than the traditional group (mean and standard deviation [SD], 78.6±19.0 compared with 94.4±29.9 minutes, respectively). For healing time, functional score, pain, satisfaction and complications, there was no significant differences between groups, despite the Nice knot group had slightly better results.Conclusions: Both Nice knots and traditional methods treated for comminuted Robinson type 2B clavicle fractures were effective and safe. And the Nice knots seemed to be superior with significant less operation time.
Epidemiological approximation of the enteric manifestation and possible fecal-oral transmission in COVID-19: A preliminary systematic review
Authors: Pamplona Javier , Solano Rubén , Soler Cristina , Sàbat Miriam 
Published: June 2020

Abstract
Objectives: to conduct a systematic review to describe the epidemiological scientific evidence on gastrointestinal symptoms (GIS), enteric involvement and fecal excretion of SARS-CoV-2 viral RNA and to discuss the possible fecal-oral transmission pathway of COVID-19.Methods: We have reviewed GIS, enteric involvement, and fecal test results of SARS CoV-2 from case reports and retrospective observational studies related to the digestive system published about the outbreak.Results: The prevalence of GIS in patients infected with SARS CoV-2 ranges from 1.7% (1/56)-100% (10/10), GIS included diarrhea 1/99(1%)-8/10(80%), nausea/vomiting 1/28(3.6%)-5/10 (50%), abdominal pain 2/103(1.9%)-1/3(33.3%). A total of 3% of infected patients may experience GIS in the absence of respiratory symptoms. A pooled analysis of the results showed 16.1% GIS, 8.3% diarrhea and 12% nausea-vomiting. A higher percentage of diarrhea in patients with severe disease (5.8%) than in non-severe disease (3.5%), and a more severe course in patients with GIS (22.97%) than in those without GIS (8.12%) was found. Histological studies demonstrated the presence of ACE2 receptors and the nucleocapsid of the virus in gastrointestinal. The RNA of the virus has been detected in 27-53% of patients with COVID-19 in whom respiratory and stool samples have been analyzed, and it may persist in stool for up to an average of 11.2 days after negativization of the respiratory samples.Conclusions: GIS are common in SARS CoV-2 infection at the time of patient admission, sometimes represent the only clinical manifestation. Infection of the GI tract is possible due to the presence of ACE2 receptors, and there may be viral replication with fecal elimination.
COVID-19 Scientific Facts Vs. Conspiracy Theories: 0 – 1: Science Fails to Convince Even Highly Educated Individuals
Authors: Constantinou Marios , Kagialis Anthony , Karekla Maria 
Published: June 2020

Abstract
Science may be failing to convince a significant number of people about COVID-19 scientific facts and needed public health measures. Individual and social factors are behind believing conspiracy theories. Adults (N = 1001) were asked to rate their beliefs in various conspiracy theories circulating in social media, rate their psychological distress relating to COVID-19, rate their trust in science to solve COVID-19 problems, and rate their willingness to adhere to measures regarding social distancing and quarantine. The findings showed conspiracy theories are widely believed even among highly educated individuals. Stronger conspiracy theory beliefs predicted science mistrust and unwillingness to adhere to public health measures. Psychological distress increased conspiracy beliefs. Recommendations, stemming from the findings, for reducing such beliefs and better serve public health are discussed.
E-commerce Platform Performance, Digital Marketing and Supply Chain Capabilities
Authors: Agus Anna Amalyah , Yudoko Gatot , Mulyono Nur Budi , Imaniya Taliya 
Published: June 2020

By using Indonesian case studies, this research plan to fill the research gap in the theories of transaction cost economics, multi-attribute utility theory, agency theory and information-processing theory, through variable based modeling. For business and industry stakeholder point of view, this research is expected to be useful for Indonesian e-commerce platform ecosystem stakeholders especially regulators, to give insights towards dynamics within e-commerce platform ecosystem. This paper originality lies on proposing e-commerce conceptual model by using multidisciplinary approach through combining four main constructs, which consists of relative e-commerce platform performance, digital promotion capability, customer experience review rating and supply chain capabilities. The model also accommodates seasonal pricing and logistic outsourcing as intervening variables to examine model sensitivity. With sample size of 1288 people who have purchased items in at least two e-commerce platform, collected data is processed using Structural Equation Modeling (SEM) method by LISREL software.
Mazaraat Cheese Consumer Purchasing Decision
Authors: Lestari Indah Ria , Sumarwan Ujang 
Published: June 2020

This study aims to identify the characteristics of Mazaraat consumers, analyze the influence of customer perceived value (CPV), brand awareness, consumer knowledge, and marketing mix on Mazaraat cheese consumer purchasing decisions, and develop appropriate managerial implications to improve Mazaraat consumer purchasing decisions. The study used 158 local Mazaraat consumers as respondents surveyed using a questionnaire and the data obtained were processed using SEM-PLS. The results showed that customer perceived value, brand awareness, and product variables had a positive and significant influence on purchasing decisions. Meanwhile, the variables of consumer knowledge, promotion, price, and location did not have a significant influence on purchasing decisions. Overall, the product has the most significant direct and indirect influences on purchasing decisions for Mazaraat cheese. The companies should pay attention to the marketing mix variables and other connecting variables to improve the purchasing decisions of Mazaraat cheese.
A Machine Learning-based Self-risk Assessment Technique for Cervical Cancer
Authors: Ramzan Zeeshan , Hassan Muhammad Awais , Asif H. M. Shahzad , Farooq Amjad 
Published: June 2020

Background:
Cervical cancer is a highly significant cause of mortality in developing
countries, and it is one of the most prominent forms of cancer worldwide. Machine learning
techniques have been proven more accurate for the identification of cervical cancer as compared to
the manual screening methods like Pap smear and Liquid Cytology Based (LCB) tests.

Objective:
Primarily, these machine-learning techniques use the images of the cervix for cervical
cancer risk analysis; in this article, demographic data and medical records of patients are used to
identify major causes of cervical cancer. Furthermore, normal classification methods are used as a
usual way of classification when the dataset is balanced as this dataset has abundant examples of
negative cases as compared to positive cases On the other hand, traditional binary class classifiers
are not sufficient to classify the examples of cervical cancer correctly.

Methods:
We identified the major causes of cervical cancer by employing multiple machine learning
feature selection algorithms. After this selection, we trained different machine learning methods
including Decision Trees (DTs), Support Vector Machines (SVMs) and Ensemble Learners using all
features as well as these important features.

Results and Conclusion:
AdaBoost is able to classify instances into healthy and unhealthy classes of
this unbalanced dataset with 96% accuracy. Based on this model and significant causes of cervical
cancer, we aimed to develop a technique for self-risk assessment of cervical cancer, which women
can use to know their chances of being infected from cervical cancer after answering some questions
about their demographics and medical history.
Loading of Propranolol Hydrochloride on MCF and Sustained Release
Authors: Li Xiao-Dong , Zhai Qing-Zhou 
Published: June 2020

Aims:
Adsorption conditions of propranolol hydrochloride onto MCF are optimized. Properties
of this adsorption system are studied. The sustained release properties of propranolol hydrochloride
in the loading system are also researched.

Background:
In today's society, demand for drugs is getting higher and higher. With the development
of nanotechnology, it is easier to immobilize drugs on nanomaterials, which can easily transport drugs
in the human body. It can control drug release, reduce side effects, improve drug efficacy, and develop
drug orientation.

Objective:
The purpose of this study was to load propranolol hydrochloride, a drug for the treatment
of heart disease and hypertension on the MCF nano-mesoporous material to prepare a sustainedrelease
preparation and investigate the release law of propranolol hydrochloride in simulated human
body fluid.

Methods:
Nanometer mesoporous MCF (mesocellular foams) silica material was prepared in acidic
medium using triblock copolymer poly(ethylene glycol)-block-poly(propyl glycol)-block-poly(ethylene
glycol) as template and tetraethoxysilane as silica source. Propranolol hydrochloride drug was incorporated
into the MCF mesoporous material by the impregnation method to prepare MCF-propranol
hydrochloride host-guest composite material. The loading amount of drug was calculated by spectrophotometry
and difference subtraction method.

Results:
The loading amount of drug calculated by spectrophotometry and difference subtraction
method was 385.5 mg·g-1 (propranolol hydrochloride/MCF). The adsorption process of propranolol
hydrochloride in MCF belongs to the quasi-second-order kinetic process. Adsorption process ΔH0 =
-19.11 kJ·mol-1, is an exothermic process, ΔG0 < 0, the adsorption process is a spontaneous process.
The effective release time of drug lasted up to 32 h and the maximum cumulative released amount was
99.4 % through the experiment of drug sustained release in the simulated body fluid. In the simulated
gastric juice, the release time of drug reached 6 h, and the maximum cumulative released amount was
56.6 %. When drug release time arrived at 10 h in the simulated intestinal fluid, the maximum cumulative
released amount was 71.3 %.

Conclusions:
The influence of the release rate of propranolol hydrochloride molecules from MCF
mesopores was demonstrated, since it results in a very slow drug delivery from the nanocomposite
system. Thus, it is concluded that the prepared MCF is an efficient drug sustained-released carrier.
Virtual Reality Meditation Among Youth Experiencing Homelessness: Pilot Randomized Controlled Trial of Feasibility
Authors: Chavez Laura Johnson , Kelleher Kelly , Slesnick Natasha , Holowacz Eugene , Luthy Ellison , Moore Laura , Ford Jodi 
Published: June 2020

Background
Homelessness among youth is devastating, with high rates of substance use disorders and mental health comorbidity. Mindfulness-based interventions that include meditation and mindfulness skills training reduce stress and symptoms of anxiety or depression. However, engaging high-risk youth in interventions is challenging. Virtual reality is a more flexible platform for delivering meditation and may be appealing to youth.

Objective
The study objectives were to evaluate the feasibility of delivering virtual reality meditation and of collecting outcome measures, including anxiety and physiologic stress.

Methods
A sample of 30 youth experiencing homelessness was enrolled in the study. Youth were randomized to receive 10 minutes of one of three interventions: (1) virtual reality meditation, (2) audio meditation (through a web-based platform), or (3) virtual reality imagery of historical pictures and text. Subjects who consented to the study attended two research visits. The first visit collected survey measures of demographics, mental health, and substance use, and oriented subjects to the intervention platforms. The second visit (1-3 days later) delivered the intervention and collected pre and post outcome measures of anxiety and physiologic stress (salivary cortisol). Changes in anxiety and cortisol at the second visit were compared across groups using a linear regression model in which the primary analysis compared virtual reality meditation to audio meditation and secondary analyses compared virtual reality meditation to virtual reality imagery.

Results
Anxiety scores decreased in all groups, with a larger reduction among the virtual reality meditation group (difference=10.8) compared to the web-based meditation or virtual reality images groups (difference=5.8 and 5.0, respectively). After controlling for baseline values, there were no significant group differences in changes in anxiety scores or cortisol levels. In comparing virtual reality meditation and audio meditation, the effect size for anxiety was moderate (Cohen d=0.58) while the effect size for cortisol was small (Cohen d=0.08).

Conclusions
Preliminary results suggest that virtual reality meditation has a moderate benefit for anxiety but not physiologic stress. Future research is needed to confirm these results in a larger sample and to investigate whether the effects are sustained or increase with repeated use of virtual reality mediation. Virtual reality meditation appears feasible to deliver among homeless youth and merits further study.

Trial Registration
ClinicalTrials.gov NCT04004520; https://clinicaltrials.gov/ct2/show/NCT04004520
A Digital Smoking Cessation Program for Heavy Drinkers: Pilot Randomized Controlled Trial
Authors: Kahler Christopher W , Cohn Amy M , Costantino Catherine , Toll Benjamin A , Spillane Nichea S , Graham Amanda L 
Published: June 2020

Background
Heavy drinking (HD) is far more common among smokers compared with nonsmokers and interferes with successful smoking cessation. Alcohol-focused smoking cessation interventions delivered by counselors have shown promise, but digital versions of these interventions—which could have far greater population reach—have not yet been tested.

Objective
This pilot randomized controlled trial aimed to examine the feasibility, acceptability, and effect sizes of an automated digital smoking cessation program that specifically addresses HD using an interactive web-based intervention with an optional text messaging component.

Methods
Participants (83/119, 69.7% female; 98/119, 82.4% white; mean age 38.0 years) were daily smokers recruited on the web from a free automated digital smoking cessation program (BecomeAnEX.org, EX) who met the criteria for HD: women drinking 8+ drinks/week or 4+ drinks on any day and men drinking 15+ drinks/week or 5+ drinks on any day. Participants were randomized to receive EX with standard content (EX-S) or an EX with additional content specific to HD (EX-HD). Outcomes were assessed by web-based surveys at 1 and 6 months.

Results
Participants reported high satisfaction with the website and the optional text messaging component. Total engagement with both EX-S and EX-HD was modest, with participants visiting the website a median of 2 times, and 52.9% of the participants enrolled to receive text messages. Participants in both the conditions showed substantial, significant reductions in drinking across 6 months of follow-up, with no condition effects observed. Although smoking outcomes tended to favor EX-HD, the condition effects were small and nonsignificant. A significantly smaller proportion of participants in EX-HD reported having a lapse back to smoking when drinking alcohol (7/58, 16%) compared with those in EX-S (18/61, 41%; χ21=6.2; P=.01).

Conclusions
This is the first trial to examine a digital smoking cessation program tailored to HD smokers. The results provide some initial evidence that delivering such a program is feasible and may reduce the risk of alcohol-involved smoking lapses. However, increasing engagement in this and other web-based interventions is a crucial challenge to address in future work.

Trial Registration
ClinicalTrials.gov NCT03068611; https://clinicaltrials.gov/ct2/show/NCT03068611
Protein and vitamin e intake are related to hemoglobin levels in thalassemia patients in The Tangerang Regency Hospital
Authors: Rahman Humaira Difaura 
Published: June 2020

Thalassemia is a genetic disease that are passed from parents to children through DNA which causes blood cells to lack globin chains. Children with thalassemia experienced an increase in energy expenditure, a lack of vitamin and minerals so that it has an impact on the state of malnutrition which will have a direct effect on the growth of patients with thalassemia. This study’s purpose was to analiyzing relationship between protein intake, iron, vitamin C, vitamin E, and nutrition status with hemoglobin levels in thalassemia patients in the Tangerang Regency Hospital. The subjects of this study are 29 thalassemia patients. The method of the research is cross-sectional. Sampling method of this study was quota sampling and technique of data analysis with Pearson Moment Product. Average protein intake was 96%, average iron intake was 72,5%, average vitamin C intake was 79,5%, average vitamin E intake was 51,1%, average z-score was -1,59 SD and hemogloblin level 8,1 g/dl. The results showed that protein intake and vitamin E intake related to hemoglobin levels. Whereas iron intake, vitamin C, and nutritional status not related to hemoglobin level.
Keywords: Hemoglobin Levels, Protein Intake, Thalassemia, Vitamin E
Surrender and Contemporary Social Work Theory
Authors: Duckham Bryan C. , Greenfield Meagan J. 
Published: June 2020

Surrender is an important and foundational spiritual/religious belief and practice found within many faith traditions. However, despite this important practice, valued by many clients who see social workers, little has been done to integrate this concept into social work theory and practice.
This paper examines the fundamental beliefs of psychodynamic theory and practice, as well as several recent social work practice models, as they relate to spiritual surrender. It is suggested that areas of cooperation and conflict exist between the fundamental tenets of these models and the practice of surrender. These areas of difference and commonality have important practice implications for religious/spiritual clients. A danger exists within social work theory and practice to overemphasize time limits and control for some religious/spiritual clients.
Resilience
Authors: Deranger Lee 
Published: June 2020

Mattawa, Ontario is located at the confluence of the Mattawa and Ottawa Rivers, east of North Bay on the Ontario-Quebec border. On the Quebec side of the river, high on top of the hill, stand three crosses. These crosses were first erected by Samuel De Champlain's party in 1614 to mark the place where the rivers met. From downstream on the Ottawa, the crosses could be seen from a great distance. Champlain's party were the first white people to see this place. Over the centuries, the crosses weathered and were replaced when necessary.
Research Initiatives in Accounting Education: Research Relevance and Research Productivity
Authors: Moon Jared S. , Wood David A. 
Published: June 2020

ABSTRACT
Research in accounting education has evolved to include, among other areas, research relevance, faculty research productivity, and the use of journal lists. These topics offer new areas for research, including investigating the benefits and risks of relevant/irrelevant research, how effectively faculty research is evaluated, the potential consequences of using journal lists, and much more. Although these areas have significant and wide-ranging effects on faculty, much more empirical data are needed to inform decision making. This paper highlights these issues and makes suggestions for additional research to help the academy make better decisions by using data-driven research findings.