bluuebunny/crossref_metadata_2025_split huggingface dataset:
Establishing the consistency of a voice recognition symbol digit modalities test analogue
Authors: Wishart Margaret , Everest Marina R. , Morrow Sarah A. , Rose Jonathan , Shen Lingkai , Feinstein Anthony 
Published: October 2023

Background: We previously demonstrated the convergent validity of a fully automated voice recognition analogue of the Symbol Digit Modalities Test (VR-SDMT) for evaluating processing speed in people with multiple sclerosis (pwMS). Objective/Methods: We aimed to replicate these results in 54 pwMS and 18 healthy controls (HCs), demonstrating the VR-SDMT’s reliability. Results: Significant correlations were found between the VR-SDMT and the traditional oral SDMT in the multiple sclerosis (MS) ( r = −0.771, p < 0.001) and HC ( r = −0.785, p < 0.001) groups. Conclusion: Taken collectively, our two studies demonstrate the reliability and validity of the VR-SDMT for assessing processing speed in pwMS.
Liberalism and illiberalism in Myanmar’s National League for Democracy
Authors: David Roman , Myat Aung Kaung , Holliday Ian 
Published: October 2023

The National League for Democracy (NLD) was largely synonymous with Myanmar’s semi-democratic intermezzo in 2016–21. For 2 years after the military coup in 2021, it resumed the role of major opposition party performed from 1988 to 2015. Although it was dissolved by the military junta in 2023, it remains a dominant political force inside the country. This article examines the commitment of NLD leaders and voters to liberal agendas. It reviews existing literature, draws on our dataset of Facebook posts by NLD members of parliament, analyses our 2017 survey, and triangulates it with 2020 World Values Survey data. It argues that the NLD was a relatively liberal force in Myanmar’s democratisation in the 2010s, though its liberal commitments were coupled with rising illiberal values. It is thus possible that even if the NLD were reconstituted and re-elected under a future democratic settlement, that democracy would not be liberal.
Is There a Role for Heli-FX Endoanchors in Treating Type 1B Common Iliac Artery Endoleaks?
Authors: Saricilar Erin C. , Dinh Krystal , Chui Juanita N. , Banzic Igor , Puttaswamy Vikram 
Published: October 2023

Objectives The management of type 1B endoleaks following endovascular aortic aneurysm repair (EVAR) can be challenging. The Heli-FX Endoanchor system effectively treats proximal type 1A endoleaks but has not been used for type 1B common iliac artery endoleaks. This study demonstrates that it is both safe and effective in being used in the common iliac artery (CIA) limb of an EVAR. Methods A retrospective review of patients identified through coding and medical records was performed to extract information on demographics, aneurysmal features, operative features, and postoperative outcomes. This was then collated and analysed thoroughly and compared to existing research. Results Four patients with six type 1B CIA endoleaks were treated with Heli-FX Endoanchors in the CIA limbs of EVAR grafts. There was 100% technical success rate with complete exclusion of the endoleaks at 6 months. With mean follow up of 714 days, there were no Endoanchor-specific complications. One patient required explantation of the aortic endograft due to contralateral limb fracture, where it was found that an Endoanchor had penetrated the common iliac vein, requiring primary closure. Conclusions Heli-FX Endoanchors were effective within this cohort of patients, though key risks were identified. Adjacent anatomy to the CIA must be considered, which also have nearly half the arterial thickness compared to the aorta. Pre-operative planning is essential given the theoretical risk of placing Endoanchors.
Firefly-SVM predictive model for breast cancer subgroup classification with clinicopathological parameters
Authors: Sarkar Suvobrata , Mali Kalyani 
Published: October 2023

Background Breast cancer is a highly predominant destructive disease among women characterised with varied tumour biology, molecular subgroups and diverse clinicopathological specifications. The potentiality of machine learning to transform complex medical data into meaningful knowledge has led to its application in breast cancer detection and prognostic evaluation. Objective The emergence of data-driven diagnostic model for assisting clinicians in diagnostic decision making has gained an increasing curiosity in breast cancer identification and analysis. This motivated us to develop a breast cancer data-driven model for subtype classification more accurately. Method In this article, we proposed a firefly-support vector machine (SVM) breast cancer predictive model that uses clinicopathological and demographic data gathered from various tertiary care cancer hospitals or oncological centres to distinguish between patients with triple-negative breast cancer (TNBC) and non-triple-negative breast cancer (non-TNBC). Results The results of the firefly-support vector machine (firefly-SVM) predictive model were distinguished from the traditional grid search-support vector machine (Grid-SVM) model, particle swarm optimisation-support vector machine (PSO-SVM) and genetic algorithm-support vector machine (GA-SVM) hybrid models through hyperparameter tuning. The findings show that the recommended firefly-SVM classification model outperformed other existing models in terms of prediction accuracy (93.4%, 86.6%, 69.6%) for automated SVM parameter selection. The effectiveness of the prediction model was also evaluated using well-known metrics, such as the F1-score, mean square error, area under the ROC curve, logarithmic loss and precision–recall curve. Conclusion Firefly-SVM predictive model may be treated as an alternate tool for breast cancer subgroup classification that would benefit the clinicians for managing the patient with proper treatment and diagnostic outcome.
Challenges in e-Health: The effect of digitalisation of frequency voiding charts on compliance in paediatric patients. Randomised controlled trial comparing digital and versus paper frequency voiding charts
Authors: de Wall Liesbeth L , Kragt Elisabeth AM , Van De Wetering Eline HM , Cobussen-Boekhorst Johanna GL , Mantel-van Stel Joyce , Kortmann Barbara BM , Feitz Wout F , Bootsma-Robroeks Charlotte MHHT 
Published: October 2023

Objective Frequency voiding charts are commonly used to gain better insight into the voiding and drinking behaviours of patients with voiding symptoms. Non-compliance when filling out a chart is known to be high. The use of a digital application might increase adherence, but little research has been conducted on this topic. The aim of this study is to compare the quality (number of correctly filled out charts) and quantity (number of complete charts) of digital versus paper frequency voiding charts among children and their parents. Methods A multi-centre parallel randomised controlled trial was conducted. Participants were assigned either a 48-h digital frequency voiding chart or a 48-h paper frequency voiding chart. Completion rates were scored based on a predefined scoring method and transcribed into a percentage. Secondary objectives included user friendliness, feasibility, degree of the child's participation, and attractiveness. Trail registry data: NTR NL9383. Results Ninety-seven patients were randomised to either a digital ( N = 53) or paper ( N = 44) frequency voiding chart. No significant difference in complete and accurately filled out frequency voiding charts was seen between the groups, with 35% ( N = 18) for digital and 50% ( N = 22) for paper, p = 0.12. Subjects considered the digital application more appealing, more educative, and more inviting compared to the paper chart ( p < 0.05). Conclusions In this underpowered study, no significant difference appeared between the groups in the number of complete and accurately filled out frequency voiding charts. Implementation of e-health did not seem to improve compliance. In daily practice, personal preference might offer the best solution.
Assessing Mental Healthcare Worker Experiences of Workplace Fairness and Organizational Value: A National Survey of Peer-Support Specialists
Authors: Collier K. Megan , Halvorsen Cal J. , Fortuna Karen L. 
Published: October 2023

Background: Peer-support specialists—individuals with diagnosed mental illnesses who provide support services to other adults with diagnosed mental health issues—often feel stigmatized and undervalued at work, leading to negative personal- and job-related outcomes. Given their important link to positive service user outcomes, this study assessed how peer-support specialists perceive fairness and feel valued in the workplace. Methods: Peer-support specialists ( N = 274) were recruited online from peer-support specialist listservs, social media groups, and patient-run organizations to take a cross-sectional survey that included a 14-item scale on how workplace fairness relates to job satisfaction and four questions on how valued they felt by administrators, clinicians, the people they serve, and fellow peer-support specialists. Descriptive and bivariate statistics were used to assess total scores and differences by gender and race. Findings: Ranging in age from 20 to 77 years and identifying predominantly as White (81.0%) and female (62.9%), respondents noted that fair practices in the workplace would increase their job satisfaction, with no significant differences observed by gender or race. Most peer-support specialists felt valued by the people they serve (97.1%) and fellow peer-support specialists (92.7%). However, fewer reported feeling valued by administrators (64.6%) and clinicians (60.6%). Conclusions/Application to Practice: Peer-support specialists value fairness at the workplace and feel undervalued by some staff. This study highlights peer-support specialists’ important role in behavioral health services and suggests that healthcare professionals, including occupational health specialists, are important stakeholders in creating fairer workplaces and increasing peer-support specialists’ sense of being valued, leading to improved personal and organizational outcomes.
Risk Factors for Glenoid Bone Loss in the Setting of Posterior Glenohumeral Instability
Authors: Green Clare K. , Scanaliato John P. , Sandler Alexis B. , Wynkoop Emily I. , Goldman Adam , Turner Robert C. , Czajkowski Hunter , Rolf Robert H. , Parnes Nata 
Published: October 2023

Background: Posterior instability has been reported to account for up to 24% of cases of shoulder instability in certain active populations. However, there is a paucity of data available regarding the risk factors associated with posterior glenoid bone loss. Purpose: To characterize the epidemiology of, and risk factors associated with, glenoid bone loss within a cohort of patients who underwent primary arthroscopic shoulder stabilization for isolated posterior-type glenohumeral instability. Study Design: Cross-sectional study; Level of evidence, 3. Methods: This was a retrospective analysis of patients who underwent primary arthroscopic shoulder stabilization for posterior-type instability between January 2011 and December 2019. Preoperative magnetic resonance arthrograms were used to calculate posterior glenoid bone loss using a perfect circle technique. Patient characteristics and revision rates were obtained. Bone loss (both in millimeters and as a percentage) was compared between patients based on sex, age, arm dominance, sports participation, time to surgery, glenoid version, history of trauma, and number of anchors used for labral repair. Results: Included were 112 patients with a mean age of 28.66 ± 10.07 years; 91 patients (81.25%) were found to have measurable bone loss. The mean bone loss was 2.46 ± 1.68 mm (8.98% ± 6.12%). Significantly greater bone loss was found in athletes versus nonathletes (10.09% ± 6.86 vs 7.44% ± 4.56; P = .0232), female versus male patients (11.17% ± 6.53 vs 8.17% ± 5.80; P = .0212), and patients dominant arm involvement versus nondominant arm involvement (10.26% ± 5.63 vs 7.07% ± 6.38; P = .0064). Multivariate regression analysis identified dominant arm involvement as an independent risk factor for bone loss ( P = .0033), and dominant arm involvement ( P = .0024) and athlete status ( P = .0133) as risk factors for bone loss >13.5%. At the conclusion of the study period, 7 patients had experienced recurrent instability (6.25%). Conclusion: The findings of this study are in alignment with existing data suggesting that posterior glenoid bone loss is highly prevalent in patients undergoing primary arthroscopic stabilization for posterior-type shoulder instability. Our results suggest that patients with dominant arm involvement are at risk for greater posterior glenoid bone loss. Athlete status and dominant arm involvement were identified as independent risk factors for bone loss >13.5%.
An Analysis of Trends in the US Undocumented Population Since 2011 and Estimates of the Undocumented Population for 2021
Authors: Warren Robert 
Published: October 2023

Executive Summary In 2021, the undocumented population residing in the United States (US) increased slightly to 10.3 million, compared to 10.2 million the previous year. The gradual decline or near-zero growth of this population has continued for more than a decade. However, the large increases in apprehensions at the southern border in recent years, along with continued legislative gridlock in Congress, could portend a new era of growth of this population. Unfortunately, the data needed to determine whether the population will enter a period of growth after 2021 — or whether the era of near-zero growth will continue — will not be available for at least a year or two. The most accurate demographic estimates of the undocumented population are derived from data collected in the US Census Bureau’s American Community Survey. Estimates of the size of the undocumented population in 2022 will not be available until early 2024. This report focuses on the most significant trend in the undocumented population in the past decade — the remarkable decline of 1.9 million in the undocumented population from Mexico from 2011 to 2021. The decline for Mexico in this period was 600,000 more than the total population increase from the seven countries (in order) with the fastest growing US undocumented populations: Guatemala, Honduras, India, Venezuela, El Salvador, Brazil, and China. This paper finds that: The long-term decline, or near-zero growth, of the total undocumented population that began in 2008 continued in 2021. The percent of undocumented residents in the total US population declined from 3.8 percent in 2011 to 3.1 percent in 2021. The undocumented population from Mexico declined from 6.4 million in 2011 to 4.4 million in 2021, a drop of 1.9 million in 10 years. A total of 2.9 million, or 47 percent, of the US undocumented population from Mexico in 2011 had left the undocumented population by 2021. The drop in the undocumented population from Mexico from 2011 to 2021 occurred nationwide, and the decline affected the undocumented population in nearly every state. The fastest growing undocumented populations by country in the last 10 years were from Guatemala, Honduras, India, El Salvador, Venezuela, and Brazil. The combined undocumented populations from these six countries grew by 1.2 million. Countries that had declining populations after 2011 included Poland, Peru, Ecuador, Korea, and Philippines, in addition to the large drop for Mexico. California had the largest decline in undocumented residents — 665,000 from 2011 to 2021. The undocumented population from Mexico living in California during this period declined by 720,000. The combined undocumented population in California, New York, and Illinois fell by more than one million from 2021 to 2011.
Symptom Experience and Perceived Health Status of People With Long COVID in Thailand
Authors: Pumipak Bangern , Jittimanee Sirinapha , Thananun Sirima , Mathong Kaewjai , Poungdok Jomtien , Sinsap Manthana , Sueathong Thatsanee , Kongruang Oranong , Faungprachakorn Sujitraporn , Thunyaphun Thunyarut , Insook Poramate , Soontornmon Kaewalee 
Published: October 2023

Introduction Despite the World Health Organization declaring COVID-19 no longer a public health emergency, reports of long COVID persist globally, raising concerns about its impact on individuals. Objective This retrospective study aimed to explore the symptom experiences of individuals with long COVID-19 and examine the relationship between those experiences and perceived negative health status in Thailand. Methods The study focused on individuals with moderate to severe COVID-19 infections. Between July 3, 2022 and December 1, 2022, we conducted telephone interviews with 86 individuals who tested positive for SARS-CoV-2 and received outpatient care in Bangkok. The COVID-19 Yorkshire Rehabilitation Screening was utilized to measure symptom occurrence, duration, severity, and health status on an 11-point numerical rating scale from 0 (none or excellent) to 10 (the worst). A Spearman rank correlation was used to analyze the relationships between long COVID symptoms and negative perception of health status. Results Among the participants, 75.6% had long COVID, with a median of three symptoms lasting for a median duration of 5.6 months. Difficulties in performing daily activities were most common, reported by 50.8% of participants. The majority (80.0%) experienced itching, headache, cognition, muscle pain, continence, and sleeping problem for 6 months. Loss of taste was the most severe symptom, with a mean severity rating of 8.8. There were significant positive relations between a negative perception of health status and multiple symptoms, symptom severity, functional disability, and additional symptoms. Conclusion Individuals with moderate to severe COVID-19 infection who experienced long COVID had poorer perceived health status. To effectively manage and improve the health status of individuals with long COVID, nurses should provide follow-up care, assess not only the occurrence of symptoms but also their duration and severity, and evaluate performance outcomes.
Sources of Stress and Coping Behaviors among Nursing Students Throughout Their First Clinical Training
Authors: Toqan Dalia , Ayed Ahmad , Malak Malakeh Z. , Hammad Bahaaeddin M. , ALBashtawy Mohammed , Hayek Mohammed , Thultheen Imad 
Published: October 2023

Introduction Clinical training allows nursing students to acquire and strengthen their psychomotor abilities, which is an important component of nursing education. The clinical components of nursing training programs were much more demanding than the academic ones. Purposes The purpose of this study was to examine sources of stress-related and coping behaviors during first clinical training among nursing students in the Arab American University. Methods The study was cross-sectional and conducted with a convenience sample of 266 participants of nursing students. Data collection was performed by “Perceived Stress Scale and the Coping Behavior Inventory.” The data were analyzed by using the descriptive, that is, frequency and percentage, mean, and standard deviation. Results The results revealed that the perceived stress mean was 41.2 ( SD = 19.5). The main stressors were taking care of the patients ( M = 11.4 ± 0.85) and teachers and nursing staff ( M = 8.32 ± 5.3). Coping behaviors mean was ( M = 29.0 ± 15.2). The main coping behavior was problem-solving ( M = 9.5 ± 5.6). Conclusion The study confirmed that students perceived moderate levels of stress in their first clinical training, and the most common sources of stress were taking care of the patients and teachers and nursing staff. However, the main coping behavior was problem-solving.
A Cross-Sectional Analysis of Community Perceptions of Flu and COVID-19 Vaccines at Turtle Creek Primary Care Center
Authors: Murali Anjana , Sojati Jorna , Levochkina Marina , Pressimone Catherine , Griffith Kobi , Fan Erica , Dakroub Allie 
Published: October 2023

Background Influenza (flu) and COVID-19 vaccination rates are subpar across the US, especially in racial and/or socioeconomic minority groups who are understudied in public health literature. Objective The objective of this mixed-methods study was to elucidate attitudes of patients at the Turtle Creek Primary Care Center, a clinic that cares for ∼70% non-white patients, towards flu and COVID-19 vaccines, with the goal of establishing vaccine education gaps and increasing vaccine uptake in minority communities. Design/Patients This study was conducted as a cross-sectional analysis. Authors completed 123 patient phone surveys of patients cared for at the Turtle Creek clinic inquiring about flu and COVID-19 infection status and vaccination uptake (August 26–October 10, 2021). Approach/Key Results We found that rates of vaccination were subpar in the Turtle Creek community, with only 54% having received the COVID-19 vaccine and only 44% receiving the flu vaccine regularly. There was a strong association between COVID-19 and flu vaccine acceptance and a notable correlation between vaccine acceptance and age. When assessing how vaccine acceptance was influenced by trusted sources of information, those who cited trusting “medical professionals” and “word of mouth” had higher odds of COVID-19 vaccine acceptance but those who cited trusting “social media” had decreased odds of acceptance. Finally, we uncovered 14 common factors for either vaccine acceptance or refusal that clustered into four overarching themes of trust, need, safety, and availability. Conclusion These data highlight the necessity of improved vaccine education and reveal targetable populations and approaches for disseminating vaccine information.