bluuebunny/crossref_metadata_2025_split huggingface dataset:
LncRNA GHET1 from bone mesenchymal stem cell–derived exosomes improves doxorubicin-induced pyroptosis of cardiomyocytes by mediating NLRP3
Authors: Huang Xingxiao , Zhou Jiedong , Weng Jingfan , Lin Hui , Sun Shimin , Chi Jufang , Guo Hangyuan , Meng Liping 
Published: March 2023

Abstract

Doxorubicin (DOX) is an important chemotherapeutic agent for the treatment of hematologic tumors and breast carcinoma. However, its clinical application is limited owing to severe cardiotoxicity. Pyroptosis is a form of programmed cell death linked to DOX-induced cardiotoxicity. Bone mesenchymal stem cell–derived exosomes (BMSC-Exos) and endothelial progenitor cells-derived exosomes(EPC-Exos) have a protective role in the myocardium. Here we found that BMSC-Exos could improve DOX-induced cardiotoxicity by inhibiting pyroptosis, but EPC-Exos couldn’t. Compared with EPCs-Exo, BMSC-Exo-overexpressing lncRNA GHET1 more effectively suppressed pyroptosis, protecting against DOX-induced cardiotoxicity. Further studies showed that lncRNA GHET1 effectively decreased the expression of Nod-like receptorprotein 3 (NLRP3), which plays a vital role in pyroptosis by binding to IGF2 mRNA-binding protein 1 (IGF2BP1), a non-catalytic posttranscriptional enhancer of NLRP3 mRNA. In summary, lncRNA GHET1 released by BMSC-Exo ameliorated DOX-induced pyroptosis by targeting IGF2BP1 to reduce posttranscriptional stabilization of NLRP3.
Whale optimization algorithm based on domain search to solve 0-1 knapsack problem
Authors: guiying ning 
Published: March 2023

Abstract
For the traditional whale optimization algorithm to solve the 0-1 knapsack combinatorial optimization problem, there are shortcomings of insufficient solution energy and easy to fall into local optima. A whale optimization algorithm based on domain search is proposed. This method focuses on the development of global search capabilities in the early stage of the evolution of the whale optimization algorithm, introduces the Lévy flight strategy, and uses a two-stage domain search method to enhance the diversity of the population and avoid the algorithm from falling into local optima; In the later stage, it focuses on the development of local search capabilities, and uses a greedy search method to perform fine search on some high-quality solutions to improve the accuracy of the solutions. Finally, the algorithm is used to conduct two sets of tests on the classic data set: the first group is a small and medium-scale data set, and the second group is a large-scale one. The test results show that the first group can find the optimal solution 100%, the second group has a strong advantage. The results show that the proposed algorithm has good robustness and optimization ability. It’s an effective method to solve the 0-1 knapsack problem.
The accuracy assessment of dental traditional and digital impression methods.
Authors: Cheng Yun-Yen , Tseng Chung-Chih 
Published: March 2023

Abstract
Objectives

This study aimed to evaluate the accuracy and availability of different scanning technologies, convention impression method, oral scan, and CBCT method.

Materials and Methods

An artificial model was used as the basic model. The basic model was scanned to obtain the standard model. The basic model was subjected to CBCT scanning, intraoral scanning, and traditional impression five times, respectively. Finally, the obtained scanned STL file information was compared with the standard model and analyzed for accuracy differences.

Results

The overall error of the CBCT method was 0.67 ± 0.13mm, the general error of the traditional impression method was 0.62 ± 0.15mm, and the overall error of the digital oral scan was 0.86 ± 0.32 mm, the precision of the conventional impression method is higher than others.

Conclusions

The accuracy of dental impression information through digital and traditional scanning techniques.

Clinical Relevance

Traditional impression methods have higher accuracy than digital oral scanning and CBCT methods, but all three can be used for denture restoration.
The mediating effect of loneliness and health promotion behaviors in older patients with type 2 diabetes: a cross-sectional study
Authors: Zhou Feiyang , Xie Linlin , Deng Lu , Long Keyu , Guo Chunbo , Yang Tingting , Lv Qian 
Published: March 2023

AbstractBackground Previous studies have explored the psychological factors that are proven to influence the behavior of patients with DM. However, the mediating effect of diabetes distress on loneliness to health promotion behavior has not been cleared. Methods We employed path models to analyze data on diabetes distress, loneliness, and health promotion behaviors. We used convenience sampling to sample 140 elderly diabetic patients from three tertiary A hospitals in Hunan Province. We collected demographic and disease characteristics, diabetes distress, loneliness, and health promotion behavior from January 2022 to October 2022. Moderated mediation analysis was performed by SPSS 26.0's PROCESS macro. Result According to bootstrapping results, the total effect of loneliness on health promotion behavior was significantly negative. Loneliness significantly and negatively correlated with diabetes stress, while diabetes distress significantly and negatively correlated with health promotion behaviors. Both the indirect effect and the direct effect of loneliness on health promotion behavior were significant Conclusion The association of diabetes distress plays a mediates role between loneliness and health promotion behavior. It is suggested that healthcare providers assessing and addressing diabetes distress need to increase attention to psychological distress, including loneliness, and then intervene to improve health promoting behaviors and disease management gains for older patients with type 2 diabetes.
Health seeking behaviour for acute respiratory illness among adults in rural Malawi: implication to emerging respiratory infections surveillance
Authors: Wu Tsung-Shu Joseph , Kumwanje Mary Sibande , Nyasulu Yohane , Kaasbøll Jens Johan , Bjune Gunnar Aksel 
Published: March 2023

Abstract
Background: Emerging respiratory infections threaten the global population, especially as we are experiencing the COVID-19 Pandemic. Such novel respiratory infections usually target the young adult population. In Malawi, the national surveillance system is in place, but no evidence to know if we can capture their incidents at the community level. Little is known about adults' acute respiratory illness (ARI) health-seeking behaviour in Malawi and Africa, as it is usually the presented symptom when these novel respiratory pathogens attack young adults. Our study was to fill the knowledge gap to understand the adult's health-seeking behaviour and pathway to guide future surveillance system enhancement.
Methods: This was a qualitative study in which we applied a focus ethnographical methodology with a grounded approach to collect data from formal health service providers from the facility and community level, general adults from the community and traditional healers to triangulate the study aims. The study was conducted in a rural area of northern Malawi during 2016-2018. We used Colvin's model as the initial framework for data analysis to understand the adult ARI health-seeking behaviour process and the roles of different social actors along the path.
Results: After the analysis, we considered that self-cognition and constant evaluation of the severity is a constant process determining an adult's decision to access formal services. Homemade remedies, especially herbal medicines, were widely used by adults as the immediate response to the illness. Among the other two processes, surrounding social actors played a role when negotiating support for accessing formal biomedical service, while the "middle layer" was the main process patient used prior to accessing services at facilities. The ARI incidents and mortality surveillance gaps exist at community and facility levels.
Conclusions: Health surveillance assistants could fulfil their community surveillance function by expanding their care and treatment capacity. Furthermore, future surveillance system enhancement shall consider engaging drug vendors and traditional healers inclusively to become an essential event-based surveillance data source from the community. The ongoing development of the digital health systems in the country shall also provide its readiness for emerging respiratory infection surveillance.
Structural constraints in current stomatal conductance models preclude accurate estimation of evapotranspiration and its partitions
Authors: Raghav Pushpendra , Kumar Mukesh , Liu Yanlan 
Published: March 2023

Abstract
Evaporation (E) and Transpiration (T) play a critical role in water and energy budgets at regional to global scales. T is regulated via stomatal conductance (gsc), which depends on a multitude of plant physiological processes and hydrometeorological forcings. In recent years, significant advances have been made toward estimating gsc using a variety of models, ranging from relatively simple empirical models to more complex and data-intensive plant hydraulics-based models. However, a detailed assessment of the ability of these models for predicting evapotranspiration components (E and T) remains lacking. Using machine learning and eddy covariance flux tower data of 642 years, distributed across 84-sites and ten land covers globally, here we show that structural constraints in both empirical and plant hydraulics-based models of gsc limit their effectiveness for predicting evapotranspiration (ET) and its components, i.e., E and T. Notably, even when the current generation gsc models are calibrated locally, their limiting structures don’t allow them to use the information contained in the data optimally. Performance of empirical models, which are still widely used for ET estimation, is observed to be especially underwhelming for partitioning T from ET. While the plant hydraulics-based model structure is relatively effective because of its ability to capture the inextricably-linked stomatal response to soil moisture (SM) and vapor pressure deficit (VPD), we show that there still is a significant room for improvement in the structure of these models. These results underscore the need to prioritize improvements in models of gsc to constraint estimates of E and T, and thus to reduce uncertainties in assessments of plants’ role in regulating the earth’s climate.
Laser Powered Actuator and its Closed Loop Rotation Speed and Torque Control
Authors: Liu Hongzuo , Hu Yihua , Xu Hui , Wireko-Brobby Alexander , Salamah Yasser Bin 
Published: March 2023

Abstract
The wire connection under harsh environmental conditions (high temperature or high radiation) results in many limitations. Laser power transmission (LPT) is regarded as a convenient conduit for power delivery wirelessly. LPT has many benefits, which include zero electromagnetic interference, immunization from temperature and radiation, and long transmission distance. Based on the LPT structure, an LPT powered actuator system is proposed. The steady-state characteristic of the system is analyzed, and the result shows the steady-state characteristic mainly depends on the load torque. A robust speed control method is proposed by feedback of the DC motor speed to determine the laser on/off state to adjust the speed. The result indicates that in the analyzed-controllable range, the speed is stably controlled.
Quantification of visual attention using eye-tracking technology for soundscape assessment through physiological response
Authors: Jo Hyun In , Jeon Jin Yong 
Published: March 2023

Abstract
As soundscapes have become increasingly important for human health recovery and comfort, studies have been performed on methodologies for evaluating soundscapes using physiological responses. This study proposes a method to evaluate visual attention using eye-tracking technology for objectively assessing soundscape perception. The visual elements of a spatial environment were divided into static and dynamic factors. The dynamic factors were perceived in real time using an object-detection algorithm. Virtual-reality evaluation environments of nine sites were realized. The identification of sound sources, visual elements, perceived affective quality, overall quality, and psychological restoration responses were examined using questionnaires for 60 subjects, and eye movement was measured. The visual identification responses for vehicles, sky, and vegetation deviated slightly from the questionnaire responses. However, the soundscape quality prediction model results indicated that the proposed methodology can complement the conventional questionnaire-based prediction models and is capable of deeper eventfulness relationship interpretation. Moreover, the proposed visual attention quantification technique complemented the restoration responses of the questionnaire-based methods by 1%–2%. These findings can guide future studies on soundscape evaluation via physiological measurements.
Willingness to practice medicine and related influential factors among Medical Undergraduates during COVID-19: a cross-sectional study
Authors: Yu Shuang , Zou Fengjuan , Wang Qian , Zhou Kai , Jian Ronghua , Jin Yingying , Hu Yijun , Zhu Sui 
Published: March 2023

Abstract

Background Medical undergraduates are the future workforce, and their job preferences can directly impact the quality of healthcare services in China, especially during the coronavirus (COVID-19) pandemic. We aim to understand the status of the willingness to practice medicine among medical undergraduates and to analyze the related influential factors. Methods During the COVID-19 epidemic, we conducted a cross-sectional survey from 15 February 2022 to 31 May 2022 through an online platform to collect information about characteristics, psychology, and motivations for the career choice. The general self-efficacy scale (GSES) was used to assess medical students’ self-efficacy perceptions. Multivariate logistic regression was used to analyse influencing factors of willingness to practice medicine. Results A total of 2348 valid questionnaires were included, and 1573 (66.99%) were willing to practice medicine for medical undergraduates after graduation. The mean GESE scores in the willingness group (2.87 ± 0.54) were significantly higher than those in the unwillingness group (2.73 ± 0.49). The multiple logistic regression showed that several factors were positively associated with willingness to practice medicine as a career, including students’ GSES score (OR = 1.72), personal ideals (OR = 2.04), family support (OR = 1.48), high income (OR = 1.81), and social respect (OR = 2.14). Compared with those very afraid of COVID-19, students who were not afraid at all had a higher preference for choosing the medical profession as a career. In addition, students thinking of high tension in the doctor-patient relationship, heavy workload, and long training were less likely to choose medical work after graduation. Conclusions There was a relatively high level of willingness to practice medicine among medical undergraduates after graduation. Psychological factors, personal preferences, career needs or preferences, and the impact of the COVID-19 pandemic are associated with this willingness.
Angelica dahurica promoted angiogenesis and accelerated diabetic wound healing by regulating pericyte-endotheliocyte exosomes crosstalk through Wnt4/β-catenin signal pathway
Authors: Liu Junfen , Tang Wangna , Gao Cailing , Liu Wenjie , Wang Linlin , Pan Congqing 
Published: March 2023

Abstract
Diabetic foot ulcers (DFUs) are a multifactorial complication of diabetes mellitus associated with impaired angiogenesis. Potentially effective treatments for such wounds are currently unknown. Cross-talk between pericyte and endothelial cell exosomes has been reported as a therapeutic strategy for treating DFUs. By regulating pericyte-endotheliocyte exosomes crosstalk, Angelica dahurica (AD) promoted angiogenesis and accelerated diabetic wound healing in this study. AD stimulated the migration and angiogenic tubule formation of human umbilical vein endothelial cells (HUVECs) by stimulating exosomes derived from human cerebrovascular pericytes (HBVPs), which was accompanied by increased protein expressions of Wnt4, β-catenin, and cyclinD1. In addition, the Wnt/β-catenin pathway inhibitor XAV939 reversed the activation of the Wnt4/β-catenin signalling pathway in HUVECs by AD. In the STZ-induced cutaneous wound rat model, AD enhanced angiogenesis and collagen deposition in vivo, resulting in a faster wound healing rate and a smaller wound area. AD concurrently promoted capillary formation by activating the Wnt4/β-catenin signalling pathway. AD promoted angiogenesis of HUVECs in vitro by regulating HBVPs-derived exosomes via the Wnt4/β-catenin signal pathway, thereby enhancing vascularization in regenerated tissue and promoting wound healing in vivo. The research indicated that AD could be used as a treatment for enhancing angiogenesis in diabetic wound healing.
A Case of Unilateral Closed-lip Schizencephaly Combined with Hypomyelination In Neonate
Authors: Zhou Yuanlin , Liu Li , Shen Xiaojia , Lin Guixu , Wen Xiaobin , Zhou Yilin , Wang Sixuan 
Published: March 2023

Abstract
Background:Schizencephaly and hypomyelination are two different abnormity.Rarely study reports schizencephaly combined with hypomyelination.
Case presentation: This study described a case of unilateral closed-lip schizencephaly combine with hypomyelination. This case with refractory epilepsy onset at earlier age and had poor prognosis. The novo GPSM2 c.1789T>C mutation was found in this case. GPSM2 c.1789T>C mutation may be an underlying mechanism for schizencephaly combined hypomyelination.
Conclusions: In this study, we present a case of schizencephaly combined with hypomyelination presented severe clinical manifestations at neonate. The novo GPSM2 c.1789T>C mutation may be an underlying mechanism for schizencephaly combined with hypomyelination.
The Association Between Sarcopenia Severity and Fall Risk among a Multi-Ethnic Cohort of Middle-Aged and Older Adults: Results from the West China Health And Aging Trend Study
Authors: Wen Quan , Chen Xiaoyan , Luo Shuyue , Hou Lisha , Yue Jirong , Liu Xiaolei , Xia Xin , Liu Fang , Dong Birong , Ge Ning 
Published: March 2023

Abstract
Background: The association between sarcopenia severity and fall risk remains underresearched at present. Accordingly, this study was developed to evaluate the relationship between sarcopenic status and prior fall incidence in a multi-ethnic group of middle-aged and older community-dwelling adults in western China.
Methods: In total, this cross-sectional analysis incorporated data from 4,500 individuals (2873 female, 1627 male; mean age 62.4 ± 8.3 years). Grip strength, gait speed, and skeletal muscle mass index values were analyzed for all participants, and the Asian Working Group for Sarcopenia (AWGS) 2019 consensus criteria were leveraged to assess sarcopenia status in these individuals. Prior fall history was defined by any incidents in which an individual unintentionally came to rest on the floor within the past year. The association between sarcopenia status and fall history was examined through a binary logistic regression approach, with P < 0.05 as the threshold for significance.
Results: Of the individuals included in this study cohort 3,367 (74.8%) were free of sarcopenia, 107 (2.4%) exhibited pre-sarcopenia, 408 (9.1%) exhibited non-severe sarcopenia, and the remaining 618 (13.7%) exhibited severe sarcopenia. Previous fall incidence was reported for 8.9% of study cohort members, and this history of prior falls was significantly higher among older adults relative to younger individuals. A significant link between sarcopenia and fall risk was observed when using a model that was fully adjusted for age, ethnicity, marital status, osteoarthrosis, gastrointestinal disease, diabetes, history of stroke, hypertension, depression score, and SPMSQ score (OR=1.41, 95%CI: (1.07-1.85), P=0.014), whereas this same relationship was not observed for individuals with mild sarcopenia or pre-sarcopenia.
Conclusions: Severe sarcopenia, as defined per the AWGS2019 criteria, was associated with a significantly higher risk of falls in this multi-ethnic cohort of middle-aged and older adults from western China, whereas this increased fall risk was not evident for individuals with mild sarcopenia or pre-sarcopenia.
Using Electroencephalographic Signal Processing and Machine Learning Binary Classification to diagnose Schizophrenia
Authors: Desai Krish 
Published: March 2023

Abstract
Electroencephalography (EEG) is an electrical activity measurement technique used to identify brain activity in Schizophrenic patients. Novel machine learning methods have emerged with useful applications for Schizophrenia classification. This research aims to compare the performance of several models post signal processing, such as Random Forest (RF), Support Vector Machine (SVM), Extra Trees (ET), and K-Nearest Neighbor (KNN), in the classification of healthy and Schizophrenic patients. The dataset used in this study contains 14 healthy and 14 Schizophrenic patients (n=28), with 17 channels and 2 reference electrodes designated to each patient, from the Nalecz Institute of Biocybernetics and Biomedical Engineering and the Institute of Psychiatry and Neurology in Warsaw, Poland. Signal processing feature extraction was performed using time-series or frequency-series Electroencephalographic data. The results suggest that Random Forest achieved the best performance metrics, achieving an accuracy, precision, recall, F1 score, and AUC of 92.4%, 95.5%, 95.5%, 0.939, and 0.932, respectively. These results propose that machine learning algorithms can be used to classify hospitalized patients who may have Schizophrenia, a useful supplement to additional clinical diagnosis performed by physicians.
Effect of community attitudes on suicide mortality in South Korea: a nationwide ecological study
Authors: Hong Minseok , Kim Hyesoo , Park C. Hyung Keun , Lee Hyunju , Rhee Sang Jin , Min Sooyeon , Kim Min Ji , Yang Jeong Hun , Song Yoojin , Son Kyunghoon , Ahn Yong Min 
Published: March 2023

Abstract
Purpose:
Attitudes toward suicide are essential in suicide prevention, as suicide is socio-culturally nuanced. Although the relationship between individual attitudes and suicidal behavior has been extensively studied, the role of community attitudes—aggregated by region—on suicide mortality remains ambiguous. This study explored the association between community attitudes and real-world suicide mortality.
Methods:
Data on attitudes toward suicide from the 2018 Korea National Suicide Survey (N=1500) and individual mortality data from the MicroData Integrated System were obtained. Confirmatory factor analysis supported a factor structure with three factors: "Permissiveness," "Unjustified behavior," and "Readiness to help/Preventability." Thirty regional units in South Korea aggregated the data for ecological analysis. We used negative binomial models to examine the association at the regional level, and stratified analysis by gender and age group was conducted.
Results:
"Permissiveness" was associated with reduced suicide rates in a univariate model (P<0.001). Adjusting for gender, age, and additional sociodemographics did not alter the association. Additionally, this relationship was observed in males and individuals under 60 years of age after stratification. However, "Unjustified Behavior" and "Readiness to help/Preventability " exhibited no significant association with suicide in any model or stratum.
Conclusion:
The observed inverse association between permissive community attitudes and suicide contradicts the findings of previous research that links permissive individual attitudes to increased suicidal behavior. Instead, our findings indicate that attitudes may behave differently at the individual and group levels, and this could potentially guide future research and novel approaches to suicide prevention.