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Lab Animal Jul 2024
Topics: Animals; Obesity; Rats
PubMed: 38956364
DOI: 10.1038/s41684-024-01404-4 -
Scientific Reports Jul 2024Affiliated athletes are frequently subject to higher levels of anxiety due to the intensity of training, competition and many other factors. This anxiety can cause...
Affiliated athletes are frequently subject to higher levels of anxiety due to the intensity of training, competition and many other factors. This anxiety can cause alterations in their health, both physically and mentally, such as menstrual irregularities, eating disorders, etc. In this work we have analysed the anxiety levels of a population of female affiliated paddlers and the possible consequences for their health. The results showed that a third of the female paddlers analysed have a moderate/high risk of suffering from anxiety; and within this group, the less sporting experience the athlete has, the greater the probability is of suffering from anxiety. Moreover, almost half the total of the female paddlers suffers from menstrual dysfunction before an important competition, with this number rising among high performance athletes, even though three out of every four adjust their training schedule to their menstrual cycle. Less-experienced female athletes, who show higher anxiety levels, also present a greater risk of suffering from eating disorders.
Topics: Humans; Female; Feeding and Eating Disorders; Athletes; Anxiety; Menstruation Disturbances; Adult; Spain; Young Adult; Risk Factors; Sports; Adolescent
PubMed: 38956353
DOI: 10.1038/s41598-024-66167-x -
Nature Jul 2024
Topics: Housing; Humans; Climate Change; Global Warming
PubMed: 38956339
DOI: 10.1038/d41586-024-02183-1 -
Nature Jul 2024
Topics: Research Personnel; Minority Groups; Humans; Universities; Academia
PubMed: 38956336
DOI: 10.1038/d41586-024-02130-0 -
Nature Jul 2024
Topics: Trust; Humans; Education, Graduate; Ethics, Research; Research Personnel; COVID-19; Public Opinion
PubMed: 38956335
DOI: 10.1038/d41586-024-02131-z -
Nature Jul 2024
Topics: Rare Diseases; Humans; Genetic Therapy; CRISPR-Cas Systems; Gene Editing; Animals
PubMed: 38956334
DOI: 10.1038/d41586-024-02132-y -
Nature Jul 2024
Topics: United Kingdom; Research; Federal Government; Politics; COVID-19; Humans; Research Support as Topic; Research Personnel
PubMed: 38956333
DOI: 10.1038/d41586-024-02169-z -
Scientific Reports Jul 2024The study investigated the effects of temperature and centrifugation time on the efficacy of removing uncured resin from 3D-printed clear aligners. Using a...
The study investigated the effects of temperature and centrifugation time on the efficacy of removing uncured resin from 3D-printed clear aligners. Using a photo-polymerizable polyurethane resin (Tera Harz TC-85, Graphy Inc., Seoul, Korea), aligners were printed and subjected to cleaning processes using isopropyl alcohol (IPA) or centrifugation (g-force 27.95g) at room temperature (RT, 23 °C) and high temperature (HT, 55 °C) for 2, 4, and 6 min. The control group received no treatment (NT). Cleaning efficiency was assessed through rheological analysis, weight measurement, transparency evaluation, SEM imaging, 3D geometry evaluation, stress relaxation, and cell viability tests. Results showed increased temperature and longer centrifugation times significantly reduced aligner viscosity, weight (P < 0.05), and transmittance. IPA-cleaned aligners exhibited significantly lower transparency and rougher surfaces in SEM images. All groups met ISO biocompatibility standards in cytotoxicity tests. The NT group had higher root mean square (RMS) values, indicating greater deviation from the original design. Stress relaxation tests revealed over 95% recovery in all groups after 60 min. The findings suggest that a 2-min HT centrifugation process effectively removes uncured resin without significantly impacting the aligners' physical and optical properties, making it a clinically viable option.
Topics: Printing, Three-Dimensional; Centrifugation; Temperature; Resins, Synthetic; Polyurethanes; Cell Survival; Materials Testing; Humans; Animals
PubMed: 38956329
DOI: 10.1038/s41598-024-66150-6 -
Scientific Reports Jul 2024This study aims to explore the risk factors associated with frozen shoulder (FS) and develop a predictive model for diagnosing FS, in order to facilitate early detection...
This study aims to explore the risk factors associated with frozen shoulder (FS) and develop a predictive model for diagnosing FS, in order to facilitate early detection of the condition. A total of 103 patients diagnosed with FS and admitted to the Department of Joint Surgery at Suining Central Hospital between October 2021 and October 2023 were consecutively included in the study. Additionally, 309 individuals without shoulder joint diseases, matched for age and gender, who visited the department during the same time, were included as the control group.The complete recording of clinical data for all patients was followed by the utilization of statistical tests such as the Mann-Whitney U test, sample t test, and chi-square test to compare different groups. Additionally, multivariate binary logistic regression analysis was employed to identify risk factors associated with the occurrence of FS in patients, leading to the establishment of a prediction model and derivation of a simplified equation. The diagnostic effectiveness of individual indicators and prediction models was assessed through the use of receiver operating characteristic (ROC) curve analysis. In the sample of 103 individuals, 35 were identified as male and 68 as female, with an average age range of 40-70 years (mean age: 54.20 ± 6.82 years). The analysis conducted between different groups revealed that individuals with a low body mass index (BMI), in conjunction with other factors such as diabetes, cervical spondylosis, atherosclerosis, and hyperlipidemia, were more susceptible to developing FS. Logistic regression analysis further indicated that low BMI, diabetes, cervical spondylosis, and hyperlipidemia were significant risk factors for the occurrence of FS. These variables were subsequently incorporated into a predictive model, resulting in the creation of a simplified equation.The ROC curve demonstrated that the combined indicators in the predictive model exhibited superior diagnostic efficacy compared to single indicators, as evidenced by an area under the curve of 0.787, sensitivity of 62.1%, and specificity of 82.2%. Low BMI, diabetes, cervical spondylosis, and hyperlipidemia are significant risk factors associated with the occurrence of FS. Moreover, the utilization of a prediction model has demonstrated superior capability in forecasting the likelihood of FS compared to relying solely on individual indicators. This finding holds potential in offering valuable insights for the early diagnosis of FS.
Topics: Humans; Male; Female; Bursitis; Middle Aged; Risk Factors; Aged; Adult; ROC Curve; Body Mass Index; Logistic Models
PubMed: 38956312
DOI: 10.1038/s41598-024-66360-y -
Communications Biology Jul 2024Efficiency of evidence accumulation (EEA), an individual's ability to selectively gather goal-relevant information to make adaptive choices, is thought to be a key...
Efficiency of evidence accumulation (EEA), an individual's ability to selectively gather goal-relevant information to make adaptive choices, is thought to be a key neurocomputational mechanism associated with cognitive functioning and transdiagnostic risk for psychopathology. However, the neural basis of individual differences in EEA is poorly understood, especially regarding the role of largescale brain network dynamics. We leverage data from 5198 participants from the Human Connectome Project and Adolescent Brain Cognitive Development Study to demonstrate a strong association between EEA and flexible adaptation to cognitive demand in the "task-positive" frontoparietal and dorsal attention networks. Notably, individuals with higher EEA displayed divergent task-positive network activation across n-back task conditions: higher activation under high cognitive demand (2-back) and lower activation under low demand (0-back). These findings suggest that brain networks' flexible adaptation to cognitive demands is a key neural underpinning of EEA.
Topics: Humans; Brain; Male; Female; Cognition; Adolescent; Connectome; Nerve Net; Young Adult; Adult; Magnetic Resonance Imaging; Adaptation, Physiological
PubMed: 38956310
DOI: 10.1038/s42003-024-06506-w