bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative Agreement of a New Spectral-Domain OCT Biometer, Swept-Source OCT Biometer, and OLCR Biometer: A Comprehensive Analysis of Ocular Biometer in Healthy Eyes.
Authors: Long Wen , Ong Alex , Zheng Bingru , Liang Ziqi , Cui Dongmei 
Published: April 2024

Abstract

Background: With the advancements in ocular biometric technology, there have been significant improvements in accurately and efficiently measuring ocular parameters. The aim of this study is to compare the reliability of biometric parameters obtained using a new frequency-domain optical coherence tomography (SD-OCT) biometer with the measurements obtained from swept-source OCT (SS-OCT) and optical low coherence reflectometry (OLCR) biometers.
Methods: The Colombo IOL (Moptim, Shenzhen, China) employs SD-OCT technology, the IOLMaster 700 (Carl Zeiss Meditec AG, Jena, Germany) utilizes SS-OCT technology, and the SW-9000 (Suoer, Tianjin, China) utilizes OLCR technology. This cross-sectional study compared the measurement of biometric parameters using a novel SD-OCT biometer with SS-OCT and OLCR biometers. The study adhered to ethical guidelines and obtained informed consent. The findings will enhance our understanding of the accuracy and reliability of the SD-OCT biometer, benefiting clinical practice and future research.
Results: 146 eyes from 73 healthy subjects were analyzed. The IOLMaster 700 and Colombo IOL showed a high correlation for AL, CCT, K1, and K2, with Pearson's correlation coefficients of 0.99, 0.99, 0.99, and 0.98, respectively. Bland-Altman plots indicated a strong agreement between the two instruments for AXL and CCT measurements. These findings confirm the reliability of the Colombo IOL in assessing biometric parameters.
Conclusions：The new SD-OCT biometer and the SS-OCT biometer showed strong agreement in measuring AL, CCT, K1, and K2 in healthy subjects, indicating their effective interchangeability in clinical practice. This supports the reliability of the new SD-OCT biometer as an alternative for assessing these parameters. Further research is needed to explore their applicability in different clinical settings and patient populations.
Analysis of status quo and influencing factors of oral health literacy among the elderly in Hangzhou
Authors: Wen Wu , Dongtu Zheng , Jing Fang , Xiaoxiao Zhou , Yiqun Zhou , Yanli Yang 
Published: April 2024

Abstract

Objective
This study aimed to investigate the current status of oral healthy literacy (OHL) among the elderly in Hangzhou and analyze its influencing factors.
Methods
A convenience sampling method was used to select 230 elderly people living in Hangzhou from August 2022 to November 2022. The General Information Questionnaire, the Simplified Version of the Oral Health Literacy Scale (HeLD-14), the Social Support Rating Scale (SSRS), and the General Self-Efficacy Scale (GSES) were employed to investigate and analyze the influencing factors of OHL in the elderly.
Results
The total OHL score of the elderly was 37 (31, 41) points, and the results of regression analysis showed that the monthly household income, place of residence, history of oral health education, and social support entered the regression equation as influencing factors of elderly OHL, which were the influencing factors of OHL in the elderly, explaining 24.4% of the variance.
Conclusion
The OHL of the elderly in Hangzhou is at a moderate level, and medical staff should implement targeted health education for the elderly with different family incomes and places of residence, publicize the role of oral health education, and improve the level of social support on oral health, to improve the OHL level of the elderly.
Evaluating suicide prevention gatekeeper training designed to identify and support people from asylum-seeking and refugee backgrounds.
Authors: Hart Steven MacDonald , Colucci Erminia , Marzano Lisa 
Published: April 2024

Abstract

Background. Suicide-related behaviours and individual risk factors for suicide differ between ethnicities and demonstrate additional variation based on voluntary and forced migration. People forcibly displaced by violence and conflict, such as those seeking asylum and refugees, are likely to face stressors that can increase suicide risk. Research into evidenced-based suicide prevention strategies among people from asylum-seeking and refugee backgrounds is scarce. However, early identification and intervention may be a promising way to facilitate support for people in these groups. This research proposes that a contextually-responsive gatekeeper training is an appropriate strategy to increase the identification and support for people from asylum-seeking and refugee backgrounds.
Methods. The present article relates to the statistical findings of a larger mixed-method used to validate and refine a contextually-responsive gatekeeper training program. The outcome measures – knowledge about suicide in multicultural contexts, attitudes towards suicide and prevention, and self-efficacy to intervene were measured quantitatively, adopting a similar pre- and post-training procedure used in previous training evaluations. Using Generalised Estimating Equations, statistical comparisons were made between three identical self-report surveys completed by participants across three consecutive time points – pre-training, immediately post-training, and three months following training completion – known in this investigation as time-point zero (T0), time-point one (T1), and time-point two (T2). Lastly, during the T2 follow-up, additional open-ended questions were included to understand which areas of training they feel prepared them effectively and how the program could have better prepared them to intervene.
Results. A total of 28 participants took part in the study. Quantitative analysis indicated the program’s capacity to exert a significant favourable and lasting influence on knowledge about suicide and self-efficacy to intervene. In addition, follow-up measurements suggest that the content delivered to participants transferred effectively into real-world suicide prevention behaviours.
Conclusions. Findings suggest that tailored suicide prevention training can have a significant influence on knowledge about suicide in multicultural contexts, self-efficacy to intervene in a crisis, and that course content translates effectively into real-world suicide prevention behaviour. Modifying program content appears to be a pivotal factor in promoting the support of people from asylum-seeking and refugee backgrounds.
Adversity and Turnaround in Medical Education:Development and vision of a framework for a multimodal teaching and learning interaction model
Authors: Ying Liang , Xu Haichao , Sun Jiaju , Chen Linjunliang , Ye Zijun , Ye Qing , Cheng Zhangyu , Wu Xinyu , Hong Xiaochang , Li Feiming , Chen Tongke 
Published: April 2024

Abstract

Background
Post-pandemic era has provided an opportunity for new educational theory as long as the new way to make use of technology. This paper puts forward the architecture of the multimodal teaching interaction model and the prospect of application situations combining the research foundations of technological phenomenology and multimodal theory.
Objective
This paper aims to clarify a multimodal teaching interaction model perspective, we hope the interactive feedback between medical education subjects can be improved, meet the teaching and learning needs in the post-epidemic era, and promote the development of medical education reform. The focal point is the characteristics, structure, and application of MTIM.
Method
Using the behavioral education model, situational learning, and human-computer interaction theory as the theoretical framework, we take the medical teaching model as the background, combined with cutting-edge virtual reality, haptic feedback, gesture interaction, and other technologies, rely on the multi-level application architecture such as physical layer and perceptual feedback layer, to successfully build a teaching method of multimodal virtual experience and the overall conceptual framework of learning scenarios.
Results
This is an innovative conceptual model that focuses on the fundamentals of the overall framework. The characteristics of the model have obvious application advantages in three types of virtual medical education scenarios: "Theoretical knowledge learning", "Operational skill learning" and "Practical experiential learning". And through the characteristics of model immersion, collaboration, dynamic feedback, and other characteristics, the cross-spatial connection between virtual and real is established, which greatly breaks through the limitations of space scenes.
Conclusion
The multimodal teaching interaction model(MTIM) broadens the application scenarios of teaching, effectively enhances the sense of reality and experience of situational teaching, has great application prospects for promoting the development of medical education reform, and provides some feasible ideas and suggestions for the future development of artificial intelligence in medical education.
Metabolic Quadrivalency in RSeT Human Embryonic Stem Cells
Authors: Chen Kevin , Park Kyeyoon , Maric Dragan , Johnson Kory , Robey Pamela , Mallon Mallon 
Published: April 2024

Abstract
One of the most important properties of human embryonic stem cells (hESCs) is related to their pluripotent states. In our recent study, we identified a previously unrecognized pluripotent state induced by RSeT medium. This state makes primed hESCs resistant to conversion to naïve pluripotent state. In this study, we have further characterized the metabolic features in these RSeT hESCs, including metabolic gene expression, metabolomic analysis, and various functional assays. The commonly reported metabolic modes include glycolysis or both glycolysis and oxidative phosphorylation (i.e., metabolic bivalency) in pluripotent stem cells. However, besides the presence of metabolic bivalency, RSeT hESCs exhibited a unique metabolome with additional fatty acid oxidation and imbalanced nucleotide metabolism. This metabolic quadrivalency is linked to hESC growth independent of oxygen tension and restricted capacity for naïve reprogramming in these cells. Thus, this study provides new insights into pluripotent state transitions and metabolic stress-associated hPSC growth in vitro.
Circuit-Noise-Resilient Virtual Distillation
Authors: Huang He-Liang , Xu Xiao-Yue , Ding Chen , Zhang Shuo , Bao Wan-Su 
Published: April 2024

Abstract

Quantum error mitigation (QEM) is crucial for near-term quantum devices, as noise inherently exists in physical quantum systems and undermines the accuracy of quantum algorithms. A typical QEM method, called Virtual Distillation (VD), aims to mitigate errors for expectation values of observables and achieve effective exponential suppression using multiple copies of the noisy state. However, imperfect VD circuit implementation may yield negative mitigation outcomes, potentially more severe than those achieved without QEM. To address this, we introduce Circuit-Noise-Resilient Virtual Distillation (CNR-VD). This method, featuring a calibration procedure that utilizes easily-prepared input states, refines the outcomes of VD when its circuit is contaminated by noise, seeking to recover the results of an ideally conducted VD circuit. Simulation results demonstrate that the CNR-VD estimator effectively reduces deviations induced by noise in the VD circuit, showcasing improvements in accuracy by an order of magnitude at most compared to the original VD. Meanwhile, CNR-VD enables positive mitigation effects, even in the presence of higher noise levels where the original VD performs worse than the unmitigated estimation. The proposed CNR-VD significantly enhances the noise-resilience of VD, and thus is anticipated to elevate the performance of quantum algorithm implementations on near-term quantum devices.
Participating experience of virtual reality teaching among nursing Students：a meta synthesis of qualitative studies
Authors: Gao Xing , Zheng Yanxue , Li XiaoQin , Fu WenFeng , Han Fang 
Published: April 2024

Abstract

Objective To systematically evaluate research on nursing students' experience of participating in teaching virtual reality technology.
Methods A computerized search of PubMed, Web of science, Wiley Online Library, China Knowledge Network, Wanfang Database, and China Biomedical Literature Service System was conducted to search for qualitative studies on nursing students' experiences of participating in teaching with virtual reality technology, with a time frame from 2013 to 2023. The quality of the literature was evaluated using the quality evaluation criteria of Australian JBI evidence-based health care centers，and the results were summarized and integrated using the aggregative integration method.
Results A total of 9 studies were included, ultimately distilling 37 findings from the original studies, which were summarized to form 7 new categories, yielding 3 integrated findings: strengths and needs of virtual reality teaching and learning experiences; weaknesses and challenges of virtual reality teaching and learning experiences; and future applications and possibilities of virtual reality teaching and learning.
Conclusion By combining the advantages of virtual reality technology with the occurrence of nursing teaching, nursing students can experience immersive experiential learning at any time and any place without time and space constraints,
and the overall cognitive pleasure of nursing students to this virtual teaching system is good. However, it is necessary to further enrich the details of teaching content design and optimize the technical experience of virtual reality.
UNet-like network fused Swin Transformer and CNN for Semantic Image Synthesis
Authors: Ke Aihua , Luo Jian , Cai Bo 
Published: April 2024

Abstract

Semantic image synthesis approaches has been dominated by the modelling of Convolutional Neural Networks (CNN). Due to the limitations of local perception, their performance improvement seems to have plateaued in recent years. To tackle this issue, we propose the TransUNet model, which is a UNet-like network fused Swin Transformer and CNN for semantic image synthesis. Photorealistic image synthesis conditional on the given semantic layout depends on the high-level semantics and the low-level positions. To improve the synthesis performance, we design a novel conditional residual fusion module for the model decoder to efficiently fuse the hierarchical feature maps extracted at different scales. Moreover, this module combines the opposition-based learning mechanism and the weight assignment mechanism for enhancing and attending the semantic information. Compared to pure CNN-based models, our TransUNet combines the local and global perceptions to better extract high- and low-level features and better fuse multi-scale features. We have conducted an extensive amount of comparison experiments, both in quantitative and qualitative terms, to validate the effectiveness of our proposed TransUNet model for semantic image synthesis. The outcomes illustrate that TransUNet distinctively outperforms the state-of-the-art model on three benchmark datasets (Citysacpes, ADE20K, and COCO-Stuff) including numerous real-scene images.
Construction and Validation of a nanogram to predict the impact of multiple primary tumors on survival of different subtypes of thyroid carcinoma
Authors: Zhong Qing-Qi , Du Xing-Jie , Liao Chun-Tao , Zhang Di-Tian , Tu Xing-Feng , Wang Qi-Cai 
Published: April 2024

Abstract

This article explores the construction and validation of predictive models using the SEER database to forecast survival among various types of thyroid cancer patients. The study encompasses 48,700 cases diagnosed between 2000 and 2018, encompassing different pathological types. Utilizing multivariate logistic regression, it analyzed seven variable factors: age, gender, T, N, M stage, race, and multiple primary malignant neoplasms (MPMNs) information. Assessing their correlation with clinical features and prognosis among thyroid cancer patients. Based on these factors, diagnostic models predicting survival rates among different pathological types of thyroid cancer patients were established. The research indicates that gender, age, and MPMN information significantly impact patients' survival times across various pathological types. The model demonstrates good predictive performance, offering high accuracy in forecasting the survival rates of thyroid cancer patients with diverse pathological types. Additionally, Kaplan-Meier survival curves based on risk stratification exhibit consistently lower survival rates among patients in high-risk groups. The article highlights the initial impact of multiple primary tumors on thyroid cancer prognosis and emphasizes that relying solely on tumor information is insufficient for precise survival predictions. It underscores the necessity of collecting additional treatment information and data to enhance comprehensive research into thyroid cancer prognosis.
Epidemiological and radiological findings of lumbar degenerative scoliosis in adult patients with low back pain
Authors: Li Hao , Xiang Hongfei , Guo Zhu , Wu Xiaolin , Cui Huifei , Fan Zuoran , Ma Yuanye , Zhang Zhihao , Chen Bohua 
Published: April 2024

Abstract

Background: DLS often accompanied by LBP, however, but few epidemiological study focused on them. The reported results varied considerably and enrolled fewer patients. Thus, it is difficult to know the distributions of DLS.
Methods：A retrospective radiographic study enrolled 2193 patients (758 males and 1435 females) with LBP. Among the images, 1000 were taken in a standing position, and 1193 were shot supinely. Measurements included curve type, location, magnitude, coronal Cobb angle, lumbar curvature, and rotatory olisthesis.
Results：212 patients (53 males and 159 females) showed signs of DLS and the overall prevalence was 9.7％, in which women were more affected by DLS with a higher prevalence. Lumbar curvature was greater in the standing group than that in supine group (p=0.015). In DLS cases, Cobb angles averaged 15.3°( 10° to 54.5°), and the degrees of vertebral rotation mostly was grade I or II. There were more left curves than right ones (138:74), more lumbar curves than thoracolumbar ones (181:31). Lateral olisthesis was found in 140 cases and mostly located at L3/4 or L4/5. Coronal Cobb angle appeared positively correlated with apex vertebra rotation and the maximal lateral olisthesis, although negatively correlated with lumbar curvature. Apex vertebra rotation showed a positive linear correlation with maximal lateral olisthesis.
Conclusions：The prevalence of DLS in patients with LBP was significantly elevated with age advances, especially in female patient population. Curve type, location, magnitude, coronal Cobb angle, lumbar curvature, and maximal anterioposterior and lateral olisthesis were important elements of radiographic parameters to establish an epidemiological evaluation for DLS.
Insights into Coral colony mortality the role of rising ocean temperatures and environmental stressors
Authors: nm sahab , Rajan Rajkumar , Cn abdulraheem 
Published: April 2024

Abstract

An assessment of the impact on coral reefs was conducted from 2019 to 2022 using a survey on two island reefs. The findings indicated that rising ocean temperatures were linked to the 40% of coral colony deaths that occurred in 2019 and 2021. Additionally, the concentrations of zooxanthellae in lagoon corals varied during this time. The study found that sediment, chlorophyll, photosynthetically active radiation (PAR), and temperature all had a significant impact on coral health. The significant variation in sedimentation rates—which ranged from 5.3 to 202 mg/cm2/day—suggested a high degree of sedimentation. The results of the study show how temperature, PAR, chlorophyll, and sediment levels affect coral health and emphasise the importance of monitoring and reducing these stressors. Conservation efforts can be focused on the most urgent threats to coral reef ecosystems by pinpointing the precise variables that lead to coral degradation. In the end, this research advances our knowledge of how to safeguard these essential marine environments for upcoming generations.
Chitooligosaccharides promote healing of diabetic wounds through mediating proliferation and migration of fibroblasts
Authors: Li Zihan , Zhang Chuwei , Wang Lei , Zhang Qingrong , Dong Yipeng , Sha Xinyu , Wang Bolin , Zhu Zhihan , Wang Wenmiao , Wang Yongjun , Zhou Youlang , Zhang Yi 
Published: April 2024

Abstract

Diabetic wound is difficult for healing due to disrupted cell repairing function and reduced angiogenesis, along with susceptibility to infection. Fibroblasts are crucial for wound healing by producing extracellular matrix (ECM) components and several growth factors, which are inhibited in the subjects of diabetic wounds. Chitooligosaccharides (COS), the intermediate products of chitosan degradation, are found efficient in promoting tissue repair, but less is known about their roles on diabetic wound healing. By treatment of mice diabetic wounds model, COS showed robust bioactivity in accelerating wound healing through promoting proliferation and migration of fibroblasts. COS also increased deposition of collagen III and angiogenesis at wound sites. Meanwhile, the oligosaccharides attenuated inflammatory activation by control of leukocyte infiltration and bacterial infection. Mechanistically, COS mediated cell events of fibroblasts through regulation of PI3K/Akt signaling pathway. The results have provided new bioactive material for chronic wound healing.