bluuebunny/crossref_metadata_2025_split huggingface dataset:
DNA Methylation-estimated Phenotypes, Telomere length, Aging and Risk of Intracranial Aneurysms: Evidence from genetic studies
Authors: Maimaiti Aierpati , Turhon Mirzat , Abulaiti Aimitaji , Abulizi Alimasi , Maihemuti Maierdanjiang , Cheng Xiaojiang , Aisha Maimaitili , Qin Hu , Wang Zengliang , Wang Yongxin 
Published: October 2023

Abstract
Background
The risk of intracranial aneurysm (IA) is increased in older population, suggesting a role for aging. To evaluate the association of genetic variants linked to DNA methylation-estimated phenotypes, telomere length, and aging, with the risk of IA by employing two-sample Mendelian randomization.
Methods
Sex-specific summary-level outcome data were extracted from the GWAS of IA, including 23 cohorts with a total of 5140 cases and 71934 controls. All the study participants were of European ancestry. To improve validity, five varying Mendelian randomization techniques were used in the analysis (MR-Egger, weighted median, inverse variance weighted, simple mode, and weighted mode).
Results
There was a negative causal relationship between Intrinsic epigenetic age acceleration and unruptured IA (P = 0.022272, OR = 0.9059 [95% CI, 0.83–0.99]). No causal effect existed between any other estimated methylation phenotype and aneurysmal subarachnoid hemorrhage (aSAH) (P > 0.05). There was a causal relationship between longevity and risk of developing aSAH (P = 0.020289, OR = 1.099528 [1.01–1.19]), with a 9.95% increase in the risk of disease for every 1-SD increase in age. In addition, each 1-SD rise in telomere length caused a 0.9% increase in the estimated proportion of granulocytes with DNA methylation (P = 0.002518, OR = 1.009041[1.003166,1.01495]) and a 55% increase in the intrinsic epigenetic age acceleration (P = 0.017597, OR = 1.55152[ 1.079562,1.551152]).
Conclusion
A negative causal relationship between intrinsic epigenetic age acceleration and IA suggests that an increase in intrinsic apparent age acceleration reduces the risk of IA. The underlying mechanisms and their potential to lower the prevalence of IA as an intervention target require further research.
Assessment of the mind simulation method on stuttering with the use of fMRI findings: a case report study
Authors: Kamarzarin Hamid , Ghorbani Firouzeh , Taghiloo Aidin , Firouzjah Razzagh Abedi , Beygi Monir , Barzegar Mojtaba 
Published: October 2023

Abstract
Background: This study aimed to investigate the effect of mind simulation method using functional magnetic resonance imaging (fMRI) findings on a case with stuttering.
Case presentation: The disorder was diagnosed in a 9-year-old girl using the Stuttering Assessment Tool (SSI-4) and clinical interview. The fMRI was taken from the patient once before the therapeutic intervention, and after two months of the mind simulation method. The activity level in the pre and post-treatment phases of the following areas was determined; the angular and supramarginal gyrus, limbic area, speech-related area, the superior temporal gyrus, and the Broca area in the pars opercularis in the frontal lobe.
Conclusions: The fMRI results showed that after the mind simulation treatment method, the blood oxygen level degree (BOLD) increased in the areas related to speech, memory, and learning, except for Broca's area, which indicates an increase in blood supply to the areas of interest, and consequently, the patient's clinical response to treatment was confirmed.
Socioeconomic factors affecting health expenditure in 2021: Iranian household budget survey
Authors: khoshshekan davoud , Hafezi Bahar , Rajabi Mostafa , mohammadpour saeed 
Published: October 2023

Abstract

Introduction:
The out-of-pocket (OOP) payments in Iran's health system and the impact of socioeconomic inequalities are huge burdens on the populace. This study investigates socioeconomic factors affecting household health expenditures in 2021.
Methods:
This is a community-based cross-sectional analytical study. Descriptive statistics were used for OPP payments in each subgroup (based on the explanatory variables). Also, inferential tests were used to examine the relationships between the explanatory variables and OOP payments. Multivariable generalized linear models (GLM) with a log link were used. The data was prepared in Excel spreadsheet software version 2019 and analyzed with Stata 14 software. The significance level in all tests was 0.05.
Results:
In this study, 37988 households were examined. More than 50% of the studied population (19,618 households) lived in the city. The heads of 84.63% of the households were male. The findings related to the gamma regression estimation showed that the income and expenses of health insurance have a significant positive but small effect on household health expenses. Also, the level of education of the head of the household had a significant positive effect on health expenditures.
Conclusion:
The study found that the average cost of healthcare expenditure is directly influenced positively by demographic factors related to household heads such as male gender, employment, higher education, being married, and households without seniors or children under five. Iran's health system should implement advance payments, stronger insurance infrastructures, and earmarked taxes to reduce the high share of OOP payments in its health financing system.
Development and validation of a nomogram for predicting high-burnout risk in nurses
Authors: Ning Meng , Chen Zengyu , Yang Jiaxin , Li Xuting , Yu Qiang , Huang Chongmei , Li Yamin , Tian Yusheng 
Published: October 2023

Abstract
Background
Nurses are one of the occupational populations that are most susceptible to burnout and high-burnout nurses experienced significantly impacts their physical and mental health, and even compromises patient safety and the quality of care. Therefore, it is crucial to identify and prevent burnout among nurses at an early stage. Developing a predictive model for high-burnout is essential for this purpose.
Methods
A cross-sectional study was conducted among 2,750 Chinese nurses using an online survey. Data were collected by the 15-item Chinese Maslach Burnout Inventory-General Survey (CMBI-GS) and self-administered questionnaires that included demographic, behavioral, health-related, and occupational variables. Multivariate logistic regression analysis and nomogram were used to identify the factor associated with high-burnout risk. Stata 16.0 software was used for data analysis.
Results
A total of 2,750 nurses from 23 provinces of mainland China were included, with 1,925 participants (70%) in a development set and 825 participants (30%) in a validation set. Workplace violence, shift work, working time per week, depression, stress, self-reported health, and drinking were significant contributors to high-burnout risk and a nomogram was developed using these factors. The receiver operating characteristic (ROC) curve analysis demonstrated that the area under the curve (AUC) of the model was 0.808 in the development set and 0.790 in the validation set. For calibration analysis, the Hosmer-Lemeshow tests produced P values of 0.697 and 0.640 in the two sets, respectively. The nomogram demonstrated a high net benefit in the clinical decision curve in both sets.
Conclusion
This study has developed and validated a predictive nomogram for identifying high-burnout in nurses. The nomogram will assist nursing managers in identifying at-high-risk nurses, understanding related factors and implementing early interventions. Additionally, our study provides a tool for nurses to monitor their risk of high-burnout and overall mental health.
Difference and connection of clinical features and ANA patterns in new-onset SLE cross age groups
Authors: Gong Muxue , Li Ning , Sun Chao , Hong Dengxiao , Wang Xin , Ye Ming , Wang Tao , Li Zhijun , Xie Changhao 
Published: October 2023

Abstract
Background
Systemic lupus erythematosus (SLE) is a common autoimmune disease, the clinical features of which will change a lot by onset age. To investigate the differences in autoantibodies, clinical features, and the relationship between antinuclear antibody (ANA) patterns, autoantibodies, and symptoms among different age groups.
Methods
We conducted a retrospective cohort study involving 556 patients diagnosed with SLE. These patients were classified into three groups: Group 1 comprised individuals with juvenile-onset SLE (< 18 years); Group 2 included those with early-onset adult SLE (18–50 years); and Group 3 consisted of patients with late-onset SLE (≥ 50 years). We utilized a clustering heatmap to identify variations and associations of autoantibodies among the three groups. The Kruskal-Wallis test was performed to compare autoantibodies, clinical manifestations, and laboratory measurements across the groups. The Chi-square test and correlation heatmap were used to analyze the relationship of ANA patterns with autoantibodies and symptoms.
Results
Our findings revealed that patients with late-onset SLE had a significantly lower prevalence of anti-dsDNA (56.0% vs. 70.5%, P = 0.016) and anti-Sm (46.8% vs. 60.6%, P = 0.036) compared to those with early-onset adult SLE. At the time of initial diagnosis, the presence of anti-R52 antibody in patients with juvenile-onset SLE was higher than in those with early-onset adult SLE (25.7% vs. 54.6%, P = 0.004). Malar rash was more common as an initial symptom in patients with juvenile-onset SLE, while interstitial lung disease was more prevalent in those with late-onset SLE.
Conclusions
Late-onset SLE patients exhibited more severe kidney damage and a higher likelihood of infection. Early-onset adult SLE patients had a higher likelihood of elevated disease activity. Late-onset patients with a speckled ANA pattern were more prone to developing Raynaud's phenomenon. It is important for early-onset adult SLE patients with a homogeneous ANA pattern to be vigilant about the possibility of renal disorders and skin involvement. These novel findings contribute to the diagnosis and prevention of SLE.
The Impact of simulation-based learning on the Knowledge, Attitude and Performance of physiotherapy students on practice placement
Authors: Ishaku Timothy , Hunter Kirsty , Dairo Yetunde 
Published: October 2023

Abstract

Background Practice placement is a crucial part of pre-registration physiotherapy education worldwide. However, educators face challenges in finding practice sites for students to undertake placement. The use of simulation-based learning has the potential to replace some traditional placement thereby increasing placement capacity, but the benefits have not been fully explored. This study aims to assess how a simulation-based placement impacts students' knowledge, attitude, and performance when they undertake practice placements with external providers.Methods This study utilised an exploratory qualitative research design using a semi-structured interview to collect data from Year 2 students of a 2-year MSc pre-registration physiotherapy programme in the UK. To be eligible to be included in the study students must have participated in the 4-week simulation placement and have completed all their practice placements with external providers. All the interviews were conducted virtually in a 1:1 setting and recorded. The interviews lasted an average of 45 minutes. An inductive thematic analysis based on Braun and Clarke’s approach was utilised in this study.Results 12 students consented to participate in this study. The 56 codes generated from the data were categorised into 5 themes; (1) Working together, (2) Working with Service Users, (3) Professionalism, (4) Profession-specific practical skills and (5) Generic practical skills. Participants expressed unanimously, a positive view on working in groups and they consider that engaging with service users acting as patients enhanced the authenticity of the simulation placement. Subjective and objective assessments were considered important profession-specific skills gained during the simulation. Despite the benefits derived from the simulation placement, some participants felt that the learning experience would have been enriched by periodically changing the groups they were working in and having the opportunity for more 1:1 feedback throughout the four weeks.Conclusions Simulation-based learning offers a transformative educational experience for physiotherapy students and has the potential to better prepare students for successful integration into the dynamic healthcare environment. To enhance and improve the authenticity of this type of placement our recommendations include recruiting more service users, incorporating and encouraging more intervention-based elements as well as increasing the contact time of the practice educators and students.
The Delicate Dance of Intraoperative Anesthesia: Addressing Patient and Anesthesiologist Concerns
Authors: Modanat Zaid AL , AL-Husinat Lou'i , Mistarihi Bashar , Tashtoush Mohammad , Alsarabi Jood , Matalqa Rama , Mistarihi Hassan , Amir Mohammad Wasfi , Debajah Nawal , Rejoub Esra'a , Bereshy Raneem , Tawaha Mustafa , Talj Rana 
Published: October 2023

Abstract
The patient-anesthesiologist connection throughout the preoperative and intraoperative phases of surgical operations is crucial for effective outcomes. Different worries that each party has could affect this relationship. Patients' anxiety is a typical problem, which is made worse by worry about surgical risks and heightened by the COVID-19 pandemic. While preoperative anxiety is covered in current research, anesthesiologists’ and patients' concerns are rarely compared. In this study, anesthesia-related worries were examined and contrasted between the two groups. A descriptive cross-sectional study was carried out with 1858 volunteers who underwent anesthesia and 155 Jordanian anesthesiologists. The findings showed that whereas patients concentrated on pain, a drop in vital signs, and irregular heartbeats, anesthesiologists were worried about ventilation, intubation, and hypoxia. Patients placed more emphasis on personal experiences and social factors than technical issues and anesthesia complications compared with anesthesiologists. Therefore, patient education about anesthesia, and discussion about intra- and post- operative expectations and concerns are imperative to improve the surgical experience and the relationship between patients and anesthesiologists.
Gynecological health and uptake of gynecological care after domestic or sexual violence: a qualitative study in an emergency shelter
Authors: Iraola Elisabeth , Menard Jean-Pierre , Buresi Isabelle , Chariot Patrick 
Published: October 2023

Abstract

Background Domestic and sexual violence have been linked to adverse gynecological and obstetric outcomes. Survivors often find it difficult to verbalize such violence due to feelings of shame and guilt. Vulnerable or socially excluded women are frequently excluded from research, particularly qualitative studies on violence. This study aimed to characterize the perceived impact of domestic or sexual violence on the gynecological health and follow-up among women with complex social situations.Methods Between April 2022 and January 2023, we conducted 25 semi-structured interviews with women aged between 19 and 52, recruited in an emergency shelter in the Paris area. We analyzed the data following inductive thematic analysis methods.Results The majority of women described physical and psychological violence mainly in the domestic sphere. When questioned about domestic sexual violence, they denied its existence. However, as they were asked to qualify their intimate and sexual life, they described it as forced or coerced, without referring to it as sexual violence. The description of gynecological examination was close to the description of coerced marital sexuality which was not considered to be sexual violence. Gynecological examination, likely to trigger embarrassment and discomfort, was always perceived to be necessary and justified, and consent was implied.Conclusion We assumed that perceptions of domestic sexual violence and violence in gynaecological care are likely to vary according to a number of related factors. This study can help question the appropriateness of professional practices related to the prevention of violence against women and those of gynecological examination practices.
Lumped parameters models for the stability analysis of rotors supported on gas bearings
Authors: Colombo Federico , Lentini Luigi , Raparelli Terenziano , Trivella Andrea 
Published: October 2023

Abstract

In this paper different lumped parameters models are presented for the stability analysis of rotors supported on gas bearings. The analysis is carried out taking into account the damping and stiffness coefficients of journal bearings, calculated with the perturbation method. Lumped parameters models of different complexity are discussed for the description of the main rigid modes of the spindle. In case of symmetric systems, it is shown that the complexity of the model can be reduced by halving the number of the degrees of freedom. The analogy with the single mass approach is demonstrated. The considerations discussed in the paper are preliminary for the stability analysis of more complex systems, such as the ones with non-fixed bushes.
A UAV Aided Lightweight Target Information Collection and Detection Approach
Authors: Huang Meng , Li Hanming , Zhou Yina , Ma Ting , Su Jinshan , Zhou Haibo 
Published: October 2023

Abstract
With the resumption of the World Cup and various concerts, the number of heavily crowded scenarios grows intensely. In these cases, it poses new challenges to massive information collection and lightweight target detection. Fortunately, the booming development of unmanned aerial vehicle (UAV) technology provides a highly flexible and cost-effective solution in many scenarios. This paper proposes a UAV aided lightweight target information collection and detection approach, where the target information is carried to a terrestrial distributed platform by a UAV and then a fast target detection is implemented. Firstly, we implement a 3D trajectory optimization for the UAV by minimizing the information collection time. Secondly, we design a lightweight target detection algorithm based on UAV loadable ARM (Advanced RISC Machines) architecture edge computing device. Finally, a terrestrial distributed processing platform is established. To ensure the stability and reliability of the target detection system, each module is tested separately. Numerical simulations show that, with the target detection module deployed on the Jetson Xavier NX edge computing platform for testing, the proposed target detection approach can achieve a detection accuracy of 89.5$\%$ and 71FPS detection speed using GPU acceleration compared with state-of-the-art methods.
Converting raw scores to numerical grade equivalents: a data modelling study
Authors: McLachlan John C. , Davies Rhian , Sawdon Marina 
Published: October 2023

Abstract
Background Selected response items in assessments generate score outcomes which are not in themselves scaled to a grade equivalent. The commonly used scaling algorithm results in loss of information to students and may lead to inaccuracies in aggregating multiple assessments. Scaling to a pass mark alone does not take into account the impact on other grade boundaries, such as a “Merit” grade.Methods Working with score distributions from idealised medical student exams, we explored several methods for scaling raw scores to numerical grade equivalents. We aimed to devise methods which (a) offered the possibility of converting to both a cut score for “Pass” and one for “Merit” or “Distinction”; (b) reduced information loss. For ease of use and accessibility Excel spreadsheets were used for all calculations.Results Variants of the commonly employed algorithm were devised which (a) allow for use of a cut score for a “Distinction” or “Merit” grade, and (b) minimise the loss of information between raw and scaled scores, potentially reducing student concerns over the discrepancy between raw and scaled scores and giving them more accurate information on their performance against the exam.Conclusions Scaling so as to reduce information loss to students is likely to prove both beneficial and popular. Permitting the use of more than one cut score will improve the accuracy of outcomes, particularly for distinction decisions. Excel spreadsheets for each algorithm are available from the authors.
Feasibility of Using A Depth Camera Or Pressure Mat for Visual Feedback Balance Training with Functional Electrical Stimulation
Authors: Lim Derrick , Pei William , Lee Jae Woung , Musselman Kristin E. , Masani Kei 
Published: October 2023

Abstract
Individuals with incomplete spinal-cord injury/disease are at an increased risk of falling due to their impaired ability to maintain balance. Our research group has developed a closed-loop visual-feedback balance training (VFBT) system coupled with functional electrical stimulation (FES) for rehabilitation of standing balance (FES + VFBT system); however, clinical usage of this system is limited by the use of force plates, which are expensive and not easily accessible. This study aimed to investigate the feasibility of a more affordable and accessible sensor such as a depth camera or pressure mat in place of the force plate. Ten able-bodied participants (7 males, 3 females) performed three sets of four different standing balance exercises using the FES + VFBT system with the force plate. A depth camera and pressure mat collected centre of mass and centre of pressure data passively, respectively. The depth camera showed higher Pearson's correlation (r > 98) and lower root mean squared error (RMSE < 10 mm) than the pressure mat (r > 0.82; RMSE < 4.5 mm) when compared with the force plate overall. Stimulation based on the depth camera showed lower RMSE than that based on the pressure mat relative to the FES + VFBT system. The depth camera shows potential as a replacement sensor to the force plate for providing feedback to the FES + VFBT system.
High strength and low hysteresis hydrogel based sensing control IoT system for both visible self-monitoring and remote monitoring of massage pressure
Authors: Chen Min , Wu Chengwei , Zhang Wei 
Published: October 2023

Abstract
Although massage has demonstrated therapeutic effects on stroke, Alzheimer's disease, etc., its efficacy and popularity are still limited due to ambiguity of pressure-therapy relationship and necessity of frequent visits of clinic. In response to this, herein, we proposed a sensing control Internet of Things (IoT) system. Based on Hofmeister effect between polyvinyl alcohol and ammonium phosphate, we developed a piezoresistive hydrogel with the compressive strength of 101.4 MPa and compressive energy loss coefficient of 15.7%. Using this hydrogel as pressure sensing component, we then assembled a wearable sensor that can quantify and transmit the massage pressure with insignificant energy dissipation. By integrating RGB LEDs arrays, the message pressure can be indicated by the color states of LEDs. Furthermore, the wearable sensors and LEDs were connected with a microcontroller (MCU) chip, an IoT chip and a cloud server to form a sensing control IoT system, which can monitor massage pressure both visibly and remotely.