bluuebunny/crossref_metadata_2025_split huggingface dataset:
Individuals With Chronic Ankle Instability Show Abnormalities in Maximal and Submaximal Isometric Strength of the Knee Extensor and Flexor Muscles
Authors: Labanca Luciana , Tedeschi Roberto , Mosca Massimiliano , Benedetti Maria Grazia 
Published: March 2024

Background:It has been shown that chronic ankle instability (CAI) leads to abnormalities in neuromuscular control of more proximal joints than the ankle. Although strength of the hip and the ankle muscles has been largely investigated providing concordant results, limited evidence with contrasting results has been reported regarding knee extensor and flexor muscles.Purpose:To investigate maximal and submaximal isometric muscle strength in individuals with CAI.Study Design:Controlled laboratory study.Methods:Fifteen participants with unilateral CAI and 15 healthy matched controls were recruited. To quantify maximal strength, peak forces were recorded during a maximal isometric voluntary contraction of knee extensor and flexor muscles at 30° and 90° of knee flexion and normalized by the body weight of each participant. At both angles, submaximal isometric contractions at 20%, 50%, and 80% of the maximal voluntary isometric contraction were performed to analyze strength steadiness, in terms of coefficient of variation, and strength accuracy, in terms of absolute error. During all the assessments, knee extensor and flexor muscle activation was recorded by means of surface electromyography.Results:Knee flexor maximal isometric strength was significantly lower in the injured limb of individuals with CAI in comparison with healthy controls at both 30° (0.15 ± 0.05 vs 0.20 ± 0.05; P < .05) and 90° (0.14 ± 0.04 vs 0.18 ± 0.05; P < .05). Knee extensor and flexor steadiness was significantly lower (higher coefficient of variation) in both the injured and the noninjured limbs of individuals with CAI in comparison with healthy individuals at 90° and at 30° for knee flexor steadiness of the injured limb. Knee extensor and flexor accuracy was lower (higher absolute error) in both the injured and noninjured limbs of individuals with CAI in comparison with healthy individuals, mainly at 30°, while at 90° it was lower only in the injured limb. No differences between the 2 groups were found for maximal isometric strength of knee extensor muscles, as well as for muscle activations.Conclusion:Individuals with CAI show abnormalities in maximal and submaximal isometric strength of knee flexor muscles, and submaximal strength of the knee extensor muscles. Further studies should deeply investigate mechanisms leading to these abnormalities.Clinical Relevance:Rehabilitation interventions should consider abnormalities of neuromuscular control affecting joints more proximal than the ankle in individuals with CAI.Registration:NCT05273177 (ClinicalTrials.gov identifier).
Human tear film protein sampling using soft contact lenses
Authors: Roden Robert K. , Zuniga Nathan , Wright Joshua C. , Parkinson David H. , Jiang Fangfang , Patil Leena M. , Burlett Rebecca S. , Nitz Alyssa A. , Rogers Joshua J. , Pittman Jarett T. , Virgin Kenneth L. , Ackroyd P. Christine , Payne Samuel H. , Price John C. , Christensen Kenneth A. 
Published: March 2024

Abstract
Background
Human tear protein biomarkers are useful for detecting ocular and systemic diseases. Unfortunately, existing tear film sampling methods (Schirmer strip; SS and microcapillary tube; MCT) have significant drawbacks, such as pain, risk of injury, sampling difficulty, and proteomic disparities between methods. Here, we present an alternative tear protein sampling method using soft contact lenses (SCLs).

Results
We optimized the SCL protein sampling in vitro and performed in vivo studies in 6 subjects. Using Etafilcon A SCLs and 4M guanidine-HCl for protein removal, we sampled an average of 60 ± 31 µg of protein per eye. We also performed objective and subjective assessments of all sampling methods. Signs of irritation post-sampling were observed with SS but not with MCT and SCLs. Proteomic analysis by mass spectrometry (MS) revealed that all sampling methods resulted in the detection of abundant tear proteins. However, smaller subsets of unique and shared proteins were identified, particularly for SS and MCT. Additionally, there was no significant intrasubject variation between MCT and SCL sampling.

Conclusions
These experiments demonstrate that SCLs are an accessible tear-sampling method with the potential to surpass current methods in sampling basal tears.

Graphical Abstract
Antitumor efficiency and photostability of newly green synthesized silver/graphene oxide nanocomposite on different cancer cell lines
Authors: Faid Amna H. , Rafea M. Abdel , Gad Sara , Sharaky Marwa , Ramadan Marwa A. 
Published: March 2024

AbstractIt is crucial to enhance new compounds for the treatment of most malignancies, and graphene oxide/silver nanocomposite (GO/Ag NC) has been paying attention to biomedical applications such as malignancies. In this work, green synthesized Ag@Cht NPs were successfully produced using chitosan for reduction and stabilization and added on GO sheet forming novel GO/Ag NC. Then, the produced anticancer nanomaterials GO, Ag@Cht NPs, and GO/Ag NC were assessed for their cytotoxicity against four distinct cancer cell lines: H460, HCT116, MDA-MB-468, and FaDu cells, at varying concentrations, using SRP assay after 48 h. The prepared nanomaterials were characterized by TEM, UV–Vis spectrophotometry, FTIRs, Raman spectroscopy and XRD. TEM images showed a regular spread of Ag@Cht NPs on the GO sheets with an average particle size of 15 nm. UV–Vis spectrophotometry shows two main characteristic peaks for GO/Ag NC, one close to 230 nm corresponds to GO, while the other peak at 425 nm due to Ag@Cht decorating the GO surface was blue shifted by few nanometers from 427 nm for Ag@Cht. Results of the laser irradiation by DPSS (diode-pumped solid state) confirm the photothermal stability of the prepared nanocomposite as there is no change in surface plasmon resonance (SPR) with varying exposure time. FTIRs measurements indicate that Ag ions interact with a hydroxyl group. This interaction shifts the O–H wavenumber and decreases the bond stretching intensity. In addition, Ag@Cht NPs and Ag/GO NC showed enhanced activity against cancerous cells. Results showed that GO, Ag@Cht NPs, and GO/Ag NC at (200, 400, and 600 µg/ml) had an impact on all evaluated cell lines. In MDA-MB-468, HCT116, H460, and FaDu cells, Ag@Cht NPs had the most effect across all employed cell lines, with IC50 values of 5.5, 9, 6, and 7.75 µg/ml, respectively. In conclusion, the produced novel nanocomposite may be an effective way to treat different cell lines, and future work is to use the prepared nanomaterials as anticancer drug delivery in photothermal chemotherapy combination treatment.
Genomic dissection of the correlation between milk yield and various health traits using functional and evolutionary information about imputed sequence variants of 34,497 German Holstein cows
Authors: Schneider Helen , Krizanac Ana-Marija , Falker-Gieske Clemens , Heise Johannes , Tetens Jens , Thaller Georg , Bennewitz Jörn 
Published: March 2024

Abstract
Background
Over the last decades, it was subject of many studies to investigate the genomic connection of milk production and health traits in dairy cattle. Thereby, incorporating functional information in genomic analyses has been shown to improve the understanding of biological and molecular mechanisms shaping complex traits and the accuracies of genomic prediction, especially in small populations and across-breed settings. Still, little is known about the contribution of different functional and evolutionary genome partitioning subsets to milk production and dairy health. Thus, we performed a uni- and a bivariate analysis of milk yield (MY) and eight health traits using a set of ~34,497 German Holstein cows with 50K chip genotypes and ~17 million imputed sequence variants divided into 27 subsets depending on their functional and evolutionary annotation. In the bivariate analysis, eight trait-combinations were observed that contrasted MY with each health trait. Two genomic relationship matrices (GRM) were included, one consisting of the 50K chip variants and one consisting of each set of subset variants, to obtain subset heritabilities and genetic correlations. In addition, 50K chip heritabilities and genetic correlations were estimated applying merely the 50K GRM.

Results
In general, 50K chip heritabilities were larger than the subset heritabilities. The largest heritabilities were found for MY, which was 0.4358 for the 50K and 0.2757 for the subset heritabilities. Whereas all 50K genetic correlations were negative, subset genetic correlations were both, positive and negative (ranging from -0.9324 between MY and mastitis to 0.6662 between MY and digital dermatitis). The subsets containing variants which were annotated as noncoding related, splice sites, untranslated regions, metabolic quantitative trait loci, and young variants ranked highest in terms of their contribution to the traits’ genetic variance. We were able to show that linkage disequilibrium between subset variants and adjacent variants did not cause these subsets’ high effect.

Conclusion
Our results confirm the connection of milk production and health traits in dairy cattle via the animals’ metabolic state. In addition, they highlight the potential of including functional information in genomic analyses, which helps to dissect the extent and direction of the observed traits’ connection in more detail.
Primary-school-aged children inspire their peers and families to eat more vegetables in the KiiDSAY project: a qualitative descriptive study
Authors: F. Karpouzis , A. Walsh , S. Shah , K. Ball , R. Lindberg 
Published: March 2024

Abstract
Background
While vegetable intakes in Australia remain sub-optimal across all age groups, children are rarely consulted about their ideas on how to increase consumption. Qualitative research involving children provides an opportunity to consider their views. The aim of the Kids initiative inspires Dietary Success in Adults and Youth (KiiDSAY) project was to explore the views of school-aged children, who had participated in a school-based nutrition education program, about inspiring their peers and families to eat more vegetables.

Methods
A total of 26 children (15 boys) aged 10–12 years from four primary schools in New South Wales, Australia, participated in seven focus group interviews. Purposeful sampling was used to recruit participants. The study involved open-ended semi-structured questions conducted via Zoom that were audio-recorded, transcribed verbatim and analysed using thematic analysis with deductive and inductive coding in NVivo.

Results
Four major themes emerged: (i) taste; (ii) family environment; (iii) healthy eating; and (iv) change makers; with subthemes that were embedded within Social Cognitive Theory and Ecological Model of Health Behaviour theoretical frameworks.

Conclusions
Children’s inputs hold great potential for informing future interventions, particularly when designing or refining school-based nutrition programs. Children offered suggestions on how to inspire increased vegetable consumption among their peers and families that could be taken into consideration for future research and practice. These included: cooking activities in the home and school settings using recipes that creatively hide/mask/enhance the flavour of vegetables, involving positive role models and supportive school environments. Additionally, children recommended a sequential approach to the delivery of recipes starting from fruit-based and transitioning to vegetable-based recipes. Given the challenges faced in increasing children’s vegetable consumption, particular focus on future research in this area is warranted.

Trial registration
FEAST Trial registered 14th December 2020 with the Australian and New Zealand Clinical Trials Registry (ACTRN12620001347954).
Study protocol for the ACTIVE SCHOOL study investigating two different strategies of physical activity to improve academic performance in Schoolchildren
Authors: Jeppesen Lise Sohl , Damsgaard Linn , Stolpe Malene Norup , Melcher Jesper Ninn Sandfeld , Wienecke Jacob , Nielsen Glen , Smedegaard Søren , Henriksen Anne Husted , Hansen Rasmus Ahmt , Hillman Charles H , Tammelin Tuija H , Resaland Geir K , Daly-Smith Andrew , Bugge Anna 
Published: March 2024

AbstractBackgroundPrevious research has suggested that school-based physical activity (PA) interventions may have a positive impact on academic performance. However, existing literature on school-based interventions encompasses various forms of PA, spanning from vigorous intensity PA outside the academic classes to light intensity PA and movement integrated into academic learning tasks, and results on academic performance are inconclusive. ACTIVE SCHOOL will implement two different PA interventions for one school year and assess the effects on the pupils’ academic performance, with math performance as the primary outcome.Methods/designThe ACTIVE SCHOOL project consists of two phases: 1) Development phase and 2) Randomized Controlled Trial (RCT). In phase one, two interventions were developed in collaboration with school staff. The two interventions were tested in an 8-weeks feasibility study. In phase two, a RCT-study with three arms will be conducted in 9-10-year-old children for one school year. The RCT-study will be carried out in two intervention rounds during the school years 2023/2024 and 2024/2025. Schools will be randomized to one of two interventions or control;1)Run, Jump & Fun intervention(4 × 30 min/week of moderate-to-vigorous physical activity; 2)Move & Learn intervention(4 × 30 min/week focusing on embodied learning in math and Danish lessons); or 3) a control condition, consisting of normal teaching practices. Outcome measures include academic performance, PA level, cognitive functions, cardiorespiratory fitness, anthropometry, well-being and school motivation (collected before, during and after the intervention period). A process evaluation will be conducted to assess implementation.DiscussionThe ACTIVE SCHOOL study will expand knowledge regarding the impact of PA on academic performance. The study will have the potential to significantly contribute to future research, as well as the scientific and educational debate on the best way to implement PA to support education and learning.Trial registrationThe study was registered on the 25th of October 2022 in ClinicalTrials.gov, NCT05602948.
Association between high-risk fertility behaviour and anaemia among urban Indian women (15–49 years)
Authors: Pal Sanjay Kumar , Shekhar Chander 
Published: March 2024

Abstract
Background
Women in their reproductive age have tremendous health implications that affect their health and well-being. Anaemia is an indicator of inadequate dietary intake and poor health. Maternal malnutrition significantly impacts maternal and child health outcomes, increasing the mother's risk of dying during delivery. High-risk fertility behaviour is a barrier to reducing mother and child mortality. This study aims to examine the level of high-risk fertility behaviour and anaemia among ever-married urban Indian women and also examine the linkages between the both.

Methods
Based on the National Family Health Survey's fifth round of data, the study analyzed 44,225 samples of ever-married urban women. Univariate and bivariate analysis and binary logistic regression have been used for the analysis.

Results
Findings suggested that more than half (55%) of the urban women were anaemic, and about one-fourth (24%) of women had any high-risk fertility behaviour. Furthermore, the results suggest that 20% of women were more vulnerable to anaemia due to high-risk fertility behaviour. For the specific category, 19% and 28% of women were more likely to be anaemic due to single and multiple high-risk fertility. However, after controlling for sociodemographic factors, the findings showed a statistically significant link between high-risk fertility behaviour and anaemia. As a result, 16% of the women were more likely to be anaemic due to high-risk fertility behaviour, and 16% and 24% were more likely to be anaemic due to single and multiple high-risk fertility behaviour, respectively.

Conclusions
The findings exposed that maternal high-risk fertility behaviour is a significant factor in raising the chance of anaemia in ever-married urban women of reproductive age in forms of the short birth interval, advanced maternal age, and advanced maternal age & higher order. Policy and choice-based family planning techniques should be employed to minimize the high-risk fertility behaviour among Indian urban women. This might aid in the reduction of the malnutrition status of their children.
Exploring the link between walking and lung cancer risk: a two-stage Mendelian randomization analysis
Authors: Chen Fangjun , Lin Chutong , Gu Xing , Ning Yingze , He Huayu , Qiang Guangliang 
Published: March 2024

Abstract
Background
Previous observational research showed a potential link between physical activities such as walking and the risk of lung cancer. However, Mendelian randomization (MR) studies suggested there was no association between moderate to vigorous physical activity and lung cancer risk. We speculated that specific physical activities may be associated with lung cancer risk. Consequently, we conducted an MR study to examine the potential relationship between walking and the risk of lung cancer.

Methods
We collected genetic summary data from UK Biobank. After excluding SNPs with F values less than 10 and those associated with confounding factors, we conducted a MR analysis to assess the causal effects between different types of walk and lung cancer. We also performed sensitivity analysis to validate the robustness of our findings. Finally, we analyzed the possible mediators.

Results
MR analysis showed number of days/week walked for 10 + minutes was associated with a reduced risk of lung cancer risk (OR = 0.993, 95% CI = 0.987–0.998, P = 0.009). Additionally, usual walking pace was identified as a potentially significant factor in lowering the risk (OR = 0.989, 95% CI = 0.980–0.998, P = 0.015). However, duration of walks alone did not show a significant association with lung cancer risk (OR = 0.991, 95%CI = 0.977–1.005, P = 0.216). The sensitivity analysis confirmed the robustness of these findings. And number of days/week walked for 10 + minutes could affect fed-up feelings and then lung cancer risk. There was a bidirectional relationship between usual walking pace and sedentary behaviors (time spent watching TV).

Conclusion
The study unveiled a genetically predicted causal relationship between number of days/week walked for 10 + minutes, usual walking pace, and the risk of lung cancer. The exploration of potential mediators of walking phenotypes and their impact on lung cancer risk suggests that specific physical activities may reduce the risk of lung cancer.
Computational fluid dynamics investigation on the irrigation of a real root canal with a side-vented needle
Authors: Yu Mingzhou , Li Yi , Zhao Mengdie , Huang Zhengqiu , Zhou Na , Jin Hanhui 
Published: March 2024

Abstract
Background
Root canal therapy is one of the main treatments for root canal diseases, and effective irrigation is the key to successful treatment. Side-vented needle is one of the commonly used needle types in clinic. In the real root canal, due to the influence of the curvature of the root canal, the irrigation flow field in different needle directions shows obvious differences. At the same time, changes in root canal curvature and working depth will lead to changes in irrigation efficiency and the flow field. Both the mainstream of the irrigation flow and the shear stress near the wall changes significant. Consequently, either the replacement in the root canal or the removal efficiency of the smear layers is apparently modified.

Materials and methods
In this paper, the permanent root canal of the maxillary first molar prepared until 15/04 were scanned by micro-CT, and then imported into the software for 3D reconstruction. The key parameters of flushing efficiency of 30G side needle at different working depths of 4.75 mm, 5 mm, 5.25 mm and 5.5 mm were compared. Meanwhile, the simulated models with different curvatures of 0°, 5°, 10°, 20° and 30° based on the real root canal were reconstructed to investigate the curvature effect on the irrigation efficiency.

Results
The results show that moderate working depth (such as 4.75 mm and 5.25 mm in present paper) helps to improve the replacement capacity of irrigation flow. At the same time, the apical pressure decreased as the working depth increased. The curvature of the root canal seriously affects the removal depth of the smear layers of the root canal. A root canal with a large curvature (especially 20° and 30°) can significantly improve the difficulty of irrigation.

Conclusions
(1) Moderate working depth helps to improve the displacement capacity, the ERD of the irrigation flow is generally improved at the working depths of 4.75 mm and 5.25 mm, and the apical pressure will decrease with the increase of working depth. (2) The large curvature of the root canal can significantly improve the difficulty of irrigation. The curvature of the root canal can severely influence the removal depth of the smear layer on the wall. It can be found both the span and the depth of the ESS for little curvatures (5° and 10°) root canals are higher than those for large curvatures (20° and 30°).
Predicting dental anxiety in young adults: classical statistical modelling approach versus machine learning approach
Authors: Ogwo Chukwuebuka , Osisioma Wisdom , Okoye David Ifeanyi , Patel Jay 
Published: March 2024

AbstractObjectivesTo predict and identify the key demographic and clinical exposure factors associated with dental anxiety among young adults, and to compare if the traditional statistical modelling approach provides similar results to the machine learning (ML) approach in predicting factors for dental anxiety.MethodsA cross-sectional study of Western Illinois University students. Three survey instruments (sociodemographic questionnaire, modified dental anxiety scale (MDAS), and dental concerns assessment tool (DCA)) were distributed via email to the students using survey monkey. The dependent variable was the mean MDAS scores, while the independent variables were the sociodemographic and dental concern assessment variables. Multivariable analysis was done by comparing the classical statistical model and the machine learning model. The classical statistical modelling technique was conducted using the multiple linear regression analysis and the final model was selected based on Akaike information Criteria (AIC) using the backward stepwise technique while the machine learining modelling was performed by comparing two ML models: LASSO regression and extreme gradient boosting machine (XGBOOST) under 5-fold cross-validation using the resampling technique. All statistical analyses were performed using R version 4.1.3.ResultsThe mean MDAS was 13.73 ± 5.51. After careful consideration of all possible fitted models and their interaction terms the classical statistical approach yielded a parsimonious model with 13 predictor variables with Akaike Information Criteria (AIC) of 2376.4. For the ML approach, the Lasso regression model was the best-performing model with a mean RMSE of 0.617, R2of 0.615, and MAE of 0.483. Comparing the variable selection of ML versus the classical statistical model, both model types identified 12 similar variables (out of 13) as the most important predictors of dental anxiety in this study population.ConclusionThere is a high burden of dental anxiety within this study population. This study contributes to reducing the knowledge gap about the impact of clinical exposure variables on dental anxiety and the role of machine learningin the prediction of dental anxiety. The predictor variables identified can be used to inform public health interventions that are geared towards eliminating the individual clinical exposure triggers of dental anxiety are recommended.