bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring food poverty experiences in the German Twitter-Sphere
Authors: Bartelmeß Tina , Schönfeld Mirco , Pfeffer Jürgen 
Published: May 2024

Abstract
Background
This study investigates the subjective perceptions of food poverty in Germany by analysing Twitter discourse using the German-language hashtag #IchBinArmutsbetroffen (#IamPovertyAffected) and examines the extent to which various dimensions of a multidimensional theoretical model of food poverty are represented in the discourse.

Methods
Employing a combination of computational social science and qualitative social research methods, the research identifies, and analyses tweets related to nutrition by applying a hierarchical dictionary search and qualitative content analysis. By examining the narratives and statements of individuals affected by food poverty, the study also investigates the interplay among different subdimensions of this phenomenon.

Results
The analysis of 1,112 tweets revealed that 57.96% focused on the material dimension and 42.04% on the social dimension of food poverty, suggesting a relatively balanced emphasis on material and social aspects of food poverty in the narratives of those affected. The findings reveal that tweets on material food poverty underscore economic challenges and resource scarcity for food. Social food poverty tweets demonstrate widespread deprivation in social participation, leading to isolation, exclusion, and social network loss. Overall, the results elucidate intricate interconnections among subdimensions and multidimensional manifestations of food poverty.

Conclusions
This study contributes methodologically by presenting an approach for extracting food-related textual social media data and empirically by providing novel insights into the perceptions and multifaceted manifestations of food poverty in Germany. The results can aid in a better understanding of the phenomenon of food poverty as it currently manifests in Germany, and in developing targeted social, health-promoting, and political measures that address more effectively the empirically evident multidimensionality of the phenomenon.
Do middle-aged patients with onset of idiopathic scoliosis before the age of 10 years who have reduced pulmonary function have a risk for rapid decline – a comparative study
Authors: Danielsson Aina J , Hällerman Kerstin Löfdahl 
Published: May 2024

Abstract
Back ground
Knowledge concerning pulmonary function in adult patients with onset of idiopathic scoliosis before age 10 is sparse. A long-term follow-up (FU, mean 26 years, > 12 years after treatment) of pulmonary function (PF) in patients treated with brace or surgery due to idiopathic scoliosis with onset before the age of 10 was earlier performed. To evaluate whether a more severe reduction in pulmonary function leads to more rapid deterioration within a four-year period, this study was performed.

Methods
Twenty patients with the most reduced pulmonary function and 19 out of those with normal PF found at the long-term FU were reexamined 4 years later to evaluate further changes in pulmonary function. Patients underwent spirometry and arterial blood gas analysis and answered pulmonary symptom questionnaires.

Results
70% of the reduced pulmonary function group had undergone surgery vs. 26% of the normal group. The mean age (47 vs. 43 years) at this FU and curve size (37° vs. 35°) at the 26-year FU were similar. The decline in forced vital capacity (FVC) % of predicted was similar in both groups over the four-year period, from 67 to 65% in the reduced PF group vs. 96 to 94% in the normal PF group. The total lung capacity (TLC) % of predicted did not change over time in either group. No patient reported worsening dyspnea symptoms. Only one patient in the reduced PF group showed low arterial oxygen tension, 8.4 kPa, not signifying respiratory insufficiency.

Conclusion
The age-related decline in FVC and TLC % of predicted did not differ between those with reduced and those with normal pulmonary function at the 26-year follow-up. Thus, these data do not infer increased rate of decline in the most deteriorated patients.
Efficacy of Danzhixiaoyao tablets combined with methylcobalamin tablets in the treatment of burning mouth syndrome: an open-label, randomized controlled trial
Authors: Gao Ya , Yang Jingwen , Sun Huimin , Zhou Haiwen 
Published: May 2024

Abstract
Objectives
This randomized controlled trial compared the efficacy and tolerability of danzhixiaoyao pills in the accurate treatment of patients with burning mouth syndrome (BMS).

Method
Collect a total of 78 patients (75 female patients and 3 male patients) from the oral mucosa department who were considered eligible fromOctober 2020 to October 2022.The patients were randomized and divided into trial group and control group.The trail group received danzhixiaoyao pills and mecobalamine tablets while the control group was given mecobalamine tablets.The Visual Analogue Scale (VAS), Beck Anxiety Inventory(BAI), Beck Depression Inventory (BDI), Oral Health Impact Profile (OHIP-14), Traditional Chinese medicine(TCM) syndrome integral and adverse reactions were performed at baseline and after 2, 4, and 6 weeks of treatment. Descriptive statistics, including the Wilcoxon rank-sum test and the Chi-square test for median comparisons between different times, were used.

Result
1.After treatment, the VAS, BDI,OHIP-14, and TCM syndrome integral in the trial group had a significant decrease than the control group(P< 0.05).However, there was no statistical difference in the BAI scores between the two groups (P> 0.05). 2.According to the efficacy determination criteria , the total effective rate of the test group was 73.68% , the control group was 52.94% and the recurrence rate was 0. There was a significant difference between the two groups (Z=-2.688, P < 0.05). The results showed that the curative effect of test group was better than that of control group.3. No adverse effects occurred in patients in either group.

Conclusion
Danzhixiaoyao pills has demonstrated to have a positive effect in relieving BMS symptoms and in improving a patient's overall quality of life with no AEs compared with the control group. The efficacy evaluation systems that can be verified and complementary in this study provide a perfect, effective and referential evaluation system for the use of Chinese patent medicine in the treatment of oral mucosal diseases.

Trial Registration
Registry name: Chinese Clinical trail Registry
Registration number: ChiCTR2000038189
Date of Registration: 2020-09-13
Please visit (https://www.chictr.org.cn/showproj.html?proj=61462) to the protocol.
Smoking induced salivary microbiome dysbiosis and is correlated with lipid biomarkers
Authors: Mohammed Layla I. , Razali Rozaimi , Zakaria Zain Zaki , Benslimane Fatiha M. , Cyprian Farhan , Al-Asmakh Maha 
Published: May 2024

Abstract
Background
The oral microbiome plays an essential role in maintaining oral homeostasis and health; smoking significantly affects it, leading to microbial dysbiosis. The study aims to investigate changes in the oral microbiome composition of smokers in the Qatari population and establish a correlation with lipid biomarkers.

Methods
The oral microbiota was profiled from saliva samples of 200 smokers and 100 non-smokers in the Qatari population, and 16s rRNA V3-V4 region were sequenced using the Illumina MiSeq platform. The operational taxonomic units (OTUs) were clustered using QIIME and the statistical analysis was performed by R.

Results
Non-smokers exhibited a more diverse microbiome, with significant alpha and beta diversity differences between the non-smoker and smoker groups. Smokers had a higher abundance of Firmicutes, Bacteroidota, Actinobacteriota, Patescibacteria, and Proteobacteria at the phylum level and of Streptococcus, Prevotella, Veillonella, TM7x, and Porphyromonas at the genus level. In contrast, non-smokers had more Bacteroidota, Firmicutes, Proteobacteria, Fusobacteriota, and Patescibacteria at the phylum level, and Prevotella, Streptococcus, Veillonella, Porphromonas, and Neisseria at the genus level. Notably, Streptococcus was significantly positively correlated with LDL and negatively correlated with HDL. Additionally, Streptococcus salivarius, within the genus Streptococcus, was substantially more abundant in smokers.

Conclusion
This study highlights the significant influence of smoking on the composition of the oral microbiome by enriching anaerobic microbes and depleting aerobic microbes. Moreover, the observed correlation between Streptococcus abundance and the lipid biomarkers suggests a potential link between smokers-induced salivary microbiome dysbiosis and lipid metabolism. Understanding the impact of smoking on altering the oral microbiome composition and its correlation with chemistry tests is essential for developing targeted interventions and strategies to improve oral health and reduce the risk of diseases.
Self-study and online interactive case-based discussion to improve knowledge of medical students in the COVID-19 era
Authors: Oofuvong Maliwan , Prathep Sumidtra , Plansangkate Prae , Tanasansuttiporn Jutarat , Sungworawongpana Chutida , Jitpakdee Wilasinee 
Published: May 2024

Abstract
Background
We aimed to determine whether a new online interactive learning method for fifth-year medical students could improve their knowledge of pre- and postoperative care during the COVID-19 era.

Methods
A retrospective cohort study was conducted from June 2020 to May 2022 during the pre- and postoperative care course for fifth-year medical students in a university hospital in southern Thailand. Students in the 2020 cohort received only a 60-minute lecture on spinal anesthesia via Zoom while a 3-step online interactive learning method was used for the 2021 cohort. Step 1: students performed self-study comprised of video lectures and case-based discussion one week before the online class with a pre-test submitted via Google forms. Step 2: an online interactive case-based discussion class was performed via Zoom by two experienced anesthesia staff and a post-test was submitted by the students via Google forms. Step 3: a small group discussion of course evaluation between 13 representatives of students and anesthesia staff was performed via Zoom. A comparison of the post-test and pre-test scores containing 20 multiple choice questions as well as the final exam scores before (2020) and after (2021) the new interactive learning was performed using a t-test.

Results
There were 136 and 117 students in the 2020 and 2021 academic years, respectively. The final mean (SD) exam scores for the 2020 and 2021 academic years were 70.3 (8.4) and 72.5 (9.0), respectively with a mean (95% confidence interval (CI)) difference of 2.2 (4.3, -0.02). In 2021, the mean (95% CI) difference between the post-test and pre-test scores was 5.8 (5.1, 6.5). The student representatives were satisfied with the new learning method and gave insightful comments, which were subsequently implemented in the 2022 academic year course.

Conclusion
The new interactive learning method improved the knowledge of fifth-year medical students attending pre- and postoperative care course during the COVID-19 era. The final exam scores may not be suitable to represent the overall outcomes of the new interactive learning method. Using an online two-way communication method can improve the overall satisfaction and course adaptation during the COVID-19 era.
Integration of case-based learning and three-dimensional printing for tetralogy of fallot instruction in clinical medical undergraduates: a randomized controlled trial
Authors: Zhao Jian , Gong Xin , Ding Jian , Xiong Kepin , Zhuang Kangle , Huang Rui , Li Shu , Miao Huachun 
Published: May 2024

Abstract
Background
Case-based learning (CBL) methods have gained prominence in medical education, proving especially effective for preclinical training in undergraduate medical education. Tetralogy of Fallot (TOF) is a congenital heart disease characterized by four malformations, presenting a challenge in medical education due to the complexity of its anatomical pathology. Three-dimensional printing (3DP), generating physical replicas from data, offers a valuable tool for illustrating intricate anatomical structures and spatial relationships in the classroom. This study explores the integration of 3DP with CBL teaching for clinical medical undergraduates.

Methods
Sixty senior clinical medical undergraduates were randomly assigned to the CBL group and the CBL-3DP group. Computed tomography imaging data from a typical TOF case were exported, processed, and utilized to create four TOF models with a color 3D printer. The CBL group employed CBL teaching methods, while the CBL-3DP group combined CBL with 3D-printed models. Post-class exams and questionnaires assessed the teaching effectiveness of both groups.

Results
The CBL-3DP group exhibited improved performance in post-class examinations, particularly in pathological anatomy and TOF imaging data analysis (P < 0.05). Questionnaire responses from the CBL-3DP group indicated enhanced satisfaction with teaching mode, promotion of diagnostic skills, bolstering of self-assurance in managing TOF cases, and cultivation of critical thinking and clinical reasoning abilities (P < 0.05). These findings underscore the potential of 3D printed models to augment the effectiveness of CBL, aiding students in mastering instructional content and bolstering their interest and self-confidence in learning.

Conclusion
The fusion of CBL with 3D printing models is feasible and effective in TOF instruction to clinical medical undergraduates, and worthy of popularization and application in medical education, especially for courses involving intricate anatomical components.
Psychometric properties of the Persian version of the Engaged teachers Scale (ETS)
Authors: Akbarilakeh Maryam , Ahmady Soleiman , Shademani Farhang Faezeh , Arbabisarjou Azizollah , Taha Mohamed Hassan 
Published: May 2024

Abstract
Background & Aim
Teacher engagement can be defined as the teachers’ effort and attention to teaching professional tasks, adequate emotions and commitment to relationships with students and colleagues in classroom and school. The Engaged Teacher Scale (ETS) is the frequently used scale, measuring teacher engagement developed by Klassen et al., 2013 in the UK, and consists of four dimensions: cognitive engagement (CE), emotional engagement (EE), social engagement with students (SES), and social engagement with colleagues (SEC). Therefore, the aim of this study was to measure the psychometric properties of the Persian version of the Engaged Teachers Scale (ETS).

Materials & methods
A total of 123 teachers who worked at Shahid Beheshti University of Medical Sciences, Tehran, Iran, were included in this study. The study participants were selected using the convenience sampling. The Persian version of a 16-item scale developed by Klassen et al. was validated by this study. Face and Content validity index and reliability were assessed after translation and cultural adaptation, and also construct validity was calculated by confirmatory factor analysis using the PLS22.

Results
Of the 123 study participants, 74 (60.01%) were females and 49 (39.9%) were males. The mean age of the subjects was about 30–40 years. The majority of the study participants were general practitioners (n = 75; 60.9%) and others were from different specialists. Content validity among 15 experts was 0.88. Confirmatory factor analysis for all 16 items loaded across four factors, and this four-factor scale showed a good fit in the Iranian community. Reliability using Cronbach’s alpha was 0.79. The value of root mean square error of approximation (RMSEA) was 0.0094 with the 99% confidence interval, and also the goodness of fit index GFI value was 0.98.

Conclusion
The Persian version of ETS had good validity and reliability in Iran and could be a useful tool for measuring the teacher engagement factors of faculty members that can be used by teachers and educational administrators.
Objectivizing issues in the diagnosis of complex rare diseases: lessons learned from testing existing diagnosis support systems on ciliopathies
Authors: Faviez Carole , Chen Xiaoyi , Garcelon Nicolas , Zaidan Mohamad , Billot Katy , Petzold Friederike , Faour Hassan , Douillet Maxime , Rozet Jean-Michel , Cormier-Daire Valérie , Attié-Bitach Tania , Lyonnet Stanislas , Saunier Sophie , Burgun Anita 
Published: May 2024

Abstract
Background
There are approximately 8,000 different rare diseases that affect roughly 400 million people worldwide. Many of them suffer from delayed diagnosis. Ciliopathies are rare monogenic disorders characterized by a significant phenotypic and genetic heterogeneity that raises an important challenge for clinical diagnosis. Diagnosis support systems (DSS) applied to electronic health record (EHR) data may help identify undiagnosed patients, which is of paramount importance to improve patients’ care. Our objective was to evaluate three online-accessible rare disease DSSs using phenotypes derived from EHRs for the diagnosis of ciliopathies.

Methods
Two datasets of ciliopathy cases, either proven or suspected, and two datasets of controls were used to evaluate the DSSs. Patient phenotypes were automatically extracted from their EHRs and converted to Human Phenotype Ontology terms. We tested the ability of the DSSs to diagnose cases in contrast to controls based on Orphanet ontology.

Results
A total of 79 cases and 38 controls were selected. Performances of the DSSs on ciliopathy real world data (best DSS with area under the ROC curve = 0.72) were not as good as published performances on the test set used in the DSS development phase. None of these systems obtained results which could be described as “expert-level”. Patients with multisystemic symptoms were generally easier to diagnose than patients with isolated symptoms. Diseases easily confused with ciliopathy generally affected multiple organs and had overlapping phenotypes. Four challenges need to be considered to improve the performances: to make the DSSs interoperable with EHR systems, to validate the performances in real-life settings, to deal with data quality, and to leverage methods and resources for rare and complex diseases.

Conclusion
Our study provides insights into the complexities of diagnosing highly heterogenous rare diseases and offers lessons derived from evaluation existing DSSs in real-world settings. These insights are not only beneficial for ciliopathy diagnosis but also hold relevance for the enhancement of DSS for various complex rare disorders, by guiding the development of more clinically relevant rare disease DSSs, that could support early diagnosis and finally make more patients eligible for treatment.
Exposure of cattle to tick-borne encephalitis virus in the historical endemic zone in north-eastern France
Authors: Mathews-Martin Laure , Gonzalez Gaëlle , Dheilly Nolwenn M. , Amaral-Moraes Rayane , Dumarest Marine , Helle Teheipuaura , Migne Camille , Caillot Christophe , Lacour Sandrine A. , Pérelle Sylvie , Beck Cécile , Metras Raphaëlle , Bournez Laure 
Published: May 2024

Abstract
Background
Tick-borne encephalitis (TBE) is a severe human neuroinfection caused by TBE virus (TBEV). TBEV is transmitted by tick bites and by the consumption of unpasteurized dairy products from infected asymptomatic ruminants. In France, several food-borne transmission events have been reported since 2020, raising the question of the level of exposure of domestic ungulates to TBEV. In this study, our objectives were (i) to estimate TBEV seroprevalence and quantify antibodies titres in cattle in the historical endemic area of TBEV in France using the micro virus neutralisation test (MNT) and (ii) to compare the performance of two veterinary cELISA kits with MNT for detecting anti-TBEV antibodies in cattle in various epidemiological contexts. A total of 344 cattle sera from four grid cells of 100 km² in Alsace-Lorraine (endemic region) and 84 from western France, assumed to be TBEV-free, were investigated.

Results
In Alsace-Lorraine, cattle were exposed to the virus with an overall estimated seroprevalence of 57.6% (95% CI: 52.1–62.8%, n = 344), varying locally from 29.9% (95% CI: 21.0–40.0%) to 92.1% (95% CI: 84.5–96.8%). Seroprevalence did not increase with age, with one- to three-year-old cattle being as highly exposed as older ones, suggesting a short-life duration of antibodies. The proportion of sera with MNT titres lower than 1:40 per grid cell decreased with increased seroprevalence. Both cELISA kits showed high specificity (> 90%) and low sensitivity (less than 78.1%) compared with MNT. Sensitivity was lower for sera with neutralising antibodies titres below 1:40, suggesting that sensitivity of these tests varied with local virus circulation intensity.

Conclusions
Our results highlight that cattle were highly exposed to TBEV. Screening strategy and serological tests should be carefully chosen according to the purpose of the serological study and with regard to the limitations of each method.
Assessing lameness prevalence and associated risk factors in crossbred dairy cows across diverse management environments
Authors: Patoliya Priyanka , Kataktalware Mukund A. , Raval Kathan , Devi G. Letha , Sivaram Muniandy , Praveen Selladurai , Meena Priyanka , Jeyakumar Sakhtivel , Mech Anjumoni , Ramesha Kerekoppa P. 
Published: May 2024

Abstract
Background
A thorough understanding of lameness prevalence is essential for evaluating the impact of this condition on the dairy industry and assessing the effectiveness of preventive strategies designed to minimize its occurrence. Therefore, this cross-sectional study aimed to ascertain the prevalence of lameness and identify potential risk factors associated with lameness in Holstein Friesian crossbred cows across both commercial and smallholder dairy production systems in Bengaluru Rural District of Karnataka, India.

Methods
The research encompassed six commercial dairy farms and 139 smallholder dairy farms, involving a total of 617 Holstein Friesian crossbred cattle. On-site surveys were conducted at the farms, employing a meticulously designed questionnaire. Lameness in dairy cattle was assessed subjectively using a locomotion scoring system. Both bivariate and binary logistic regression models were employed for risk assessment, while principal components analysis (PCA) was conducted to address the high dimensionality of the data and capture the underlying structure of the explanatory variables.

Results
The overall lameness prevalence of 21.9% in commercial dairy farms and 4.6% in smallholder dairy farms. Various factors such as age, body weight, parity, body condition score (BCS), floor type, hock and knee injuries, animal hygiene, provision of hoof trimming, and the presence of hoof lesions were found to be significantly associated with lameness. Binary logistic regression analysis indicated that the odds of lameness in crossbred cows increased with higher parity, decreased BCS, presence of hard flooring, poor animal hygiene, and the existence of hoof lesions. These factors were identified as potential risk factors for lameness in dairy cows. Principal component analysis unveiled five components explaining 71.32% of the total variance in commercial farms and 61.21% in smallholder dairy farms. The extracted components demonstrated higher loadings of housing and management factors (such as hoof trimming and provision of footbath) and animal-level factors (including parity, age, and BCS) in relation to lameness in dairy cows.

Conclusions
The findings suggest that principal component analysis effectively reduces the dimensionality of risk factors. Addressing these identified risk factors for lameness is crucial for the strategic management of lameness in dairy cows. Future research in India should investigate the effectiveness of management interventions targeted at the identified risk factors in preventing lameness in dairy cattle across diverse environments.