bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationships between serum Klotho concentrations and cognitive performance among older chronic kidney disease patients with albuminuria in NHANES 2011-2014
Authors: Zhang Jialing , Zhang Aihua 
Published: July 2023

BackgroundThe potential relationship between Klotho and cognitive function is limited and controversial. This study aimed to quantify the association of Klotho and cognitive impairment in chronic kidney disease (CKD) patients with albuminuria.MethodsSerum Klotho was measured by enzyme-linked immunosorbent assay. Patients with urine albumin to creatinine ratio (UACR) &gt; 30mg/g from the National Health and Nutrition Survey (NHANES) 2011-2014 were divided into 4 groups according to the quartile of Klotho. Cognitive function was examined using the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD), Digit Symbol Substitution Test (DSST), and Animal Fluency Test. The relationship between Klotho and cognitive function was analyzed by multivariable regression and subgroup analysis.ResultsAmong 368 CKD patients with albuminuria, we found that Klotho was negatively associated with creatinine, and positively associated with hemoglobin, and estimated glomerular filtration rate. No significant linear relationship was showed between Klotho (as a continuous variable) and cognitive function. When regarded Klotho as a category variable, patients in the quartile 3 group were at a better cognitive performance for CEARD-word learning subset and DSST, especially in the CKD patients with 30 mg/g &lt; UACR &lt;300 mg/g, but not in participants with UACR &gt; 300 mg/g.ConclusionsThe increased Klotho was associated with an increased cognitive function in CKD patients with microalbuminuria. Further studies are needed to demonstrate whether Klotho may be a beneficial biomarker of cognitive health and neurodegeneration.
RETRACTED: Application of VMD–SSA–BiLSTM algorithm to smart grid financial market time series forecasting and sustainable innovation management
Authors: Yin Chengran , Wang Guangming , Liao Jiacheng 
Published: July 2023

Introduction: This paper proposes a deep learning algorithm based on the VMD-SSA-BiLSTM model for time series forecasting in the smart grid financial market. The algorithm aims to extract useful information from power grid signals to improve the timing prediction accuracy and meet the needs of sustainable innovation management.Methods: The proposed algorithm employs the variational mode decomposition (VMD) method to decompose and reduce the dimensionality of historical data, followed by singular spectrum analysis (SSA) to perform singular spectrum analysis on each intrinsic mode function component. The resulting singular value spectrum matrices serve as input to a bidirectional long short-term memory (BiLSTM) neural network, which learns the feature representation and prediction model of the smart grid financial market through forward propagation and backpropagation.Results: The experimental results demonstrate that the proposed algorithm effectively predicts the smart grid financial market's time series, achieving high prediction accuracy and stability. The approach can contribute to sustainable innovation management and the development of the smart grid.Discussion: The VMD-SSA-BiLSTM algorithm's efficiency in extracting useful information from power grid signals and avoiding overfitting can improve the accuracy of timing predictions in the smart grid financial market. The algorithm's broad application prospects can promote sustainable innovation management and contribute to the development of the smart grid.
Research on the dynamic co-evolution of the complex system of economy-innovation-environment of the marine industry in China
Authors: Qirong Wang , Jingrong Xu , Yang Zhang 
Published: July 2023

IntroductionIn the context of accelerating the construction of a marine power, relying on scientific and technological innovation to drive the high-quality growth of the marine economy and paying attention to the protection of the marine ecological environment are the strategic requirements for promoting the sustainable development of the marine industry in China.MethodsThis paper describes the development of marine industry as a complex system of marine economy-innovation-environment, that is, it describes the marine economy, marine innovation and marine environment as a complex system that interacts and restricts each other. Based on the theory of synergetics, a dynamic co-evolution model of the complex system of marine economy-innovation-environment is constructed, and the accelerating genetic algorithm is used to solve the model, so that the contribution degree of each subsystem and interaction effect between them are calculated. This paper uses this model to conduct an empirical study on the current situation of co-evolution of the complex system of marine economy-innovation-environment from 2003 to 2019 in China.ResultsThe research results show that: (1) The order degree of the systems of economy, innovation and environment of the marine industry in China is on the rise; (2) At present, the systems of innovation and environment of the marine industry in China are in an evolutionary state, while the system of economy is showing a “recession” trend; (3) There are competition and cooperation between the system of economy-innovation-environment of the marine industry in China at the same time. The system of economy-environment is in a lose-lose state. The system of economy and innovation and the system of innovation and environment are in a win-lose complementary relationship.DiscussionThis result is conducive to the current transformation and development of China's marine industry, adjusting the direction of marine science and technology inputs, optimizing the structure of marine science and technology outputs, enhancing the coordinated development level of regional and even national marine systems, and providing policy reference for promoting multi-objective collaborative governance in marine management department and accelerating the process of high-quality marine development.
Retinal and choroidal microvascular characterization and density changes in different stages of diabetic retinopathy eyes
Authors: Wang Hui , Liu Xuhui , Hu Xiaofeng , Xin Hua , Bao Han , Yang Shuo 
Published: July 2023

BackgroundThe purpose of this study was to evaluate the changes in fundus vascular density and micromorphological structure of all vascular plexuses during the different stages of diabetic retinopathy (DR), and the correlation between fundus blood flow and the DR severity.MethodsThis observational cross-sectional study was conducted of 50 eyes with different stages of DR, 25 diabetes mellitus (DM) patients without clinical signs of DR and 41 healthy eyes. The foveal avascular zone (FAZ), vessel density of superficial capillary plexus (SCP), and deep retinal capillary plexus (DCP) were acquired by RTVue XR Avanti OCTA device. The perfusion density (PD), skeleton vessel density (SVD) was manually calculated using ImageJ. The area under receiver operating characteristic (ROC) curve was used to determine the diagnostic value of OCTA parameters in distinguishing DR and healthy eyes.ResultsThe choroidal VD were significantly higher in the healthy group than in the DM without DR, NPDR, and PDR groups (p &lt; 0.001). The mean retinal parafovea VD, PD, and retinal SVD were higher in healthy and DM without DR eyes compared with NPDR and DR eyes in all vascular layers (p &lt; 0.001). The parafoveal VD of SCP, and DCP decreased, and FAZ area increased with the exacerbation of DR. The OCTA parameters, including FAZ area, parafovea VD, PD, and SVD in all vascular layers showed significant correlation with DR severity (all p &lt; 0.001). ROC curves of OCTA parameters (FAZ area, retinal parafovea VD, retinal PD, and SVD in all vascular layers) for had high sensitivity and specificity in distinguishing DR versus healthy eyes.ConclusionThe choroidal parafovea VD, retinal parafovea VD, retinal PD, and SVD in the two plexuses decreased, and retinal FAZ area increased significantly with worsening DR. VD, PD, and SVD might be potential early biomarkers indicating the progression of DR before appearance of clinically PDR in patients with DM. In this study, OCTA parameters had high sensitivity and specificity in distinguishing DR and healthy eyes.
A deep learning model for predicting COVID-19 ARDS in critically ill patients
Authors: Zhou Yang , Feng Jinhua , Mei Shuya , Tang Ri , Xing Shunpeng , Qin Shaojie , Zhang Zhiyun , Xu Qiaoyi , Gao Yuan , He Zhengyu 
Published: July 2023

BackgroundThe coronavirus disease 2019 (COVID-19) is an acute infectious pneumonia caused by a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection previously unknown to humans. However, predictive studies of acute respiratory distress syndrome (ARDS) in patients with COVID-19 are limited. In this study, we attempted to establish predictive models to predict ARDS caused by COVID-19 via a thorough analysis of patients' clinical data and CT images.MethodThe data of included patients were retrospectively collected from the intensive care unit in our hospital from April 2022 to June 2022. The primary outcome was the development of ARDS after ICU admission. We first established two individual predictive models based on extreme gradient boosting (XGBoost) and convolutional neural network (CNN), respectively; then, an integrated model was developed by combining the two individual models. The performance of all the predictive models was evaluated using the area under receiver operating characteristic curve (AUC), confusion matrix, and calibration plot.ResultsA total of 103 critically ill COVID-19 patients were included in this research, of which 23 patients (22.3%) developed ARDS after admission; five predictive variables were selected and further used to establish the machine learning models, and the XGBoost model yielded the most accurate predictions with the highest AUC (0.94, 95% CI: 0.91–0.96). The AUC of the CT-based convolutional neural network predictive model and the integrated model was 0.96 (95% CI: 0.93-0.98) and 0.97 (95% CI: 0.95–0.99), respectively.ConclusionAn integrated deep learning model could be used to predict COVID-19 ARDS in critically ill patients.
Microbial signature of intestine in children with allergic rhinitis
Authors: Zhang Panpan , Zhou Xuehua , Tan Hong , Jian Fangfang , Jing Zenghui , Wu Huajie , Zhang Yao , Luo Jianfeng , Zhang Juan , Sun Xin 
Published: July 2023

IntroductionPrevious studies have found that unique patterns of gut microbial colonization in infancy associated with the development of allergic diseases. However, there is no research on the gut microbiota characteristics of AR children in Chinese Mainland.ObjectiveTo investigate the changes of gut microbial of AR children in Chinese Mainland and evaluate the correlation between gut microbial and clinical indexes.MethodsIn this clinical study, fecal samples from 24 AR children and 25 healthy control children (HCs) were comparative via next generation sequencing of the V3-V4 regions of the 16S rRNA gene. Analyzed the relationship between clinical features and gut microbial using Spearman correlation.ResultsCompared to HCs, AR children showed significant decreases in Shannon index and significant increases in Simpson index at both the family and genera levels (all p &lt; 0.05). In terms of bacterial composition, at the phylum level, AR children had higher abundance of Bacteroidetes than that in the HCs group (p &lt; 0.05) and were significantly positively correlated with TNSS (p &lt; 0.05). At the family level, AR children had higher abundance of Prevotellaceae and Enterobacteriaceae higher than that in the HCs group (all p &lt; 0.05) and had a significantly positive correlation with TNSS, eosinophils (EOS) and total immunoglobulin E (tIgE) (all p &lt; 0.05). At the genus level, reduced abundance of Agathobacter, Parasutterella, Roseburia and Subdoligranulum were also observed in the AR cohorts compared to HCs (all p &lt; 0.05) and significantly negatively associated with TNSS, EOS, tIgE, QOL, and FeNO (all p &lt; 0.05).ConclusionAR children in Chinese Mainland were characterized by reduced microbial diversity and distinguished microbial characteristics in comparison with HCs. The observations of this study offer proof that distinctive gut microbiota profiles were present in AR children and necessitate further investigation in the form of mechanistic studies.
Diagnostic performances of D-dimer, prothrombin time, and red blood cell distribution width for coronary artery lesion in children with acute stage Kawasaki disease
Authors: Yin Qi-Gai , Zhou Jing , Zhou Qin , Shen Lu , Zhang Mei-Yu , Wu Yan-Hui 
Published: July 2023

AimTo evaluate the performances of D-dimer, prothrombin time (PT), and red blood cell distribution width (RDW) for the diagnosis of coronary artery lesion (CAL) in acute stage Kawasaki disease (KD).MethodsBetween January 2018 and January 2021, a total of 102 children with acute stage KD were included in this retrospective study. Among them, 36 KD children with CAL were divided into the CAL group, and 66 KD children without CAL were divided into the NCAL group. Independent predictors of CAL in acute stage KD were identified by using univariate and multivariate logistic regression analysis. Spearman correlations were used to evaluate the association between CAL in acute stage KD and different indicators. The diagnostic performance of different indicators for CAL in acute stage KD was analyzed by the receiver operating characteristic (ROC) curve.ResultsCompared with the NCAL group, children in the CAL group had significantly higher white blood cell count, lymphocyte count, platelet count, D-dimer, and RDW levels, but lower PT levels (all p &lt; 0.05). Logistic regression analysis revealed that D-dimer (OR = 1.0, 95% CI: 1.004–1.012, p &lt; 0.001), PT (OR = 0.4, 95% CI: 0.2–0.8, p = 0.01), and RDW (OR = 7.0, 95% CI: 2.6–19.2, p &lt; 0.001) were independent predictors of CAL in children with acute stage KD. CAL showed a positive correlation with D-dimer (r = 0.4, p &lt; 0.001) and RDW (r = 0.5, p &lt; 0.001), and had a negative association with PT (r = −0.2, p &lt; 0.05). The ROC curve analysis showed that the combination of the three indicators had the highest diagnostic performance for CAL in acute stage KD with an area under the curve (AUC) of 0.922 (sensitivity, 86.1%; specificity, 89.4%), compared with D-dimer (AUC = 0.736), PT (AUC = 0.640), and RDW (AUC = 0.819) alone.ConclusionA combination of D-dimer, PT, and RDW may help predict CAL in children with acute stage KD.
Enrichment analysis of phenotypic data for drug repurposing in rare diseases
Authors: Ambesi-Impiombato Alberto , Cox Kimberly , Ramboz Sylvie , Brunner Daniela , Bansal Mukesh , Leahy Emer 
Published: July 2023

Drug-induced Behavioral Signature Analysis (DBSA), is a machine learning (ML) method for in silico screening of compounds, inspired by analytical methods quantifying gene enrichment in genomic analyses. When applied to behavioral data it can identify drugs that can potentially reverse in vivo behavioral symptoms in animal models of human disease and suggest new hypotheses for drug discovery and repurposing. We present a proof-of-concept study aiming to assess Drug-induced Behavioral Signature Analysis (DBSA) as a systematic approach for drug discovery for rare disorders. We applied Drug-induced Behavioral Signature Analysis to high-content behavioral data obtained with SmartCube®, an automated in vivo phenotyping platform. The therapeutic potential of several dozen approved drugs was assessed for phenotypic reversal of the behavioral profile of a Huntington’s Disease (HD) murine model, the Q175 heterozygous knock-in mice. The in silico Drug-induced Behavioral Signature Analysis predictions were enriched for drugs known to be effective in the symptomatic treatment of Huntington’s Disease, including bupropion, modafinil, methylphenidate, and several SSRIs, as well as the atypical antidepressant tianeptine. To validate the method, we tested acute and chronic effects of tianeptine (20 mg/kg, i. p.) in vivo, using Q175 mice and wild type controls. In both experiments, tianeptine significantly rescued the behavioral phenotype assessed with the SmartCube® platform. Our target-agnostic method thus showed promise for identification of symptomatic relief treatments for rare disorders, providing an alternative method for hypothesis generation and drug discovery for disorders with huge disease burden and unmet medical needs.
Echocardiography and extravascular lung water during 3 weeks of exposure to high altitude in otherwise healthy asthmatics
Authors: Saxer S. , Bader P. R. , Schneider S. R. , Mademilov M. , Sheraliev U. , Appenzeller P. , Müller J. , Sooronbaev T. M. , Bloch K. E. , Ulrich S. , Lichtblau M. 
Published: July 2023

Background: Asthma rehabilitation at high altitude is common. Little is known about the acute and subacute cardiopulmonary acclimatization to high altitude in middle-aged asthmatics without other comorbidities.Methods: In this prospective study in lowlander subjects with mostly mild asthma who revealed an asthma control questionnaire score &gt;0.75 and participated in a three-week rehabilitation program, we assessed systolic pulmonary artery pressure (sPAP), cardiac function, and extravascular lung water (EVLW) at 760 m (baseline) by Doppler-echocardiography and on the second (acute) and last day (subacute) at a high altitude clinic in Kyrgyzstan (3100 m).Results: The study included 22 patients (eight male) with a mean age of 44.3 ± 12.4 years, body mass index of 25.8 ± 4.7 kg/m2, a forced expiratory volume in 1 s of 92% ± 19% predicted (post-bronchodilator), and partially uncontrolled asthma. sPAP increased from 21.8 mmHg by mean difference by 7.5 [95% confidence interval 3.9 to 10.5] mmHg (p &lt; 0.001) during acute exposure and by 4.8 [1.0 to 8.6] mmHg (p = 0.014) during subacute exposure. The right-ventricular-to-pulmonary-artery coupling expressed by TAPSE/sPAP decreased from 1.1 by −0.2 [−0.3 to −0.1] mm/mmHg (p &lt; 0.001) during acute exposure and by −0.2 [−0.3 to −0.1] mm/mmHg (p = 0.002) during subacute exposure, accordingly. EVLW significantly increased from baseline (1.3 ± 1.8) to acute hypoxia (5.5 ± 3.5, p &lt; 0.001) but showed no difference after 3 weeks (2.0 ± 1.8).Conclusion: In otherwise healthy asthmatics, acute exposure to hypoxia at high altitude increases pulmonary artery pressure (PAP) and EVLW. During subacute exposure, PAP remains increased, but EVLW returns to baseline values, suggesting compensatory mechanisms that contribute to EVLW homeostasis during acclimatization.
The contribution of cultural identity to subjective well-being in collectivist countries: a study in the context of contemporary Chinese culture
Authors: Zhou Song , Liu Gaoyu , Huang Yingming , Huang Tingyu , Lin Shiya , Lan Jie , Yang Huaqi , Lin Rongmao 
Published: July 2023

IntroductionThough the important effect of cultural identity on subjective well-being is widely acknowledged, the details of how different cultures’ unique features influence well-being remain to be revealed. To address this issue in the context of Chinese culture, the present study investigates whether and how the prominent features of Chinese culture—collectivism and red culture—shape Chinese people’s subjective well-being.MethodsThe Red Cultural Identity Scale, Subjective Well-Being Scale, Collectivism Scale, and Perspective-Taking Scale were used to assess 1,045 Chinese residents.ResultsThe results showed that red cultural identity positively predicted participants’ subjective well-being through the mediated role of collectivism. Furthermore, perspective-taking was found to moderate the mediating effect of collectivism.DiscussionThese results demonstrate that the way cultural identity predicts subjective well-being is highly correlated to specific cultural features, e.g., the opinion of values, which was significant in practice with a cross-cultural background.
Use of social network sites among adolescents with autism spectrum disorder: a qualitative study
Authors: Alon-Tirosh Michal , Meir Naama 
Published: July 2023

BackgroundSocial network sites (SNS) have become an integral part of the daily lives of billions of users, including adolescents with autism spectrum disorder (ASD). There is a seeming contrast between ASD, characterized by social communication difficulties, and SNS use, requiring social skills. However, few studies examine these adolescents’ personal and subjective experiences on and their self-reports regarding the benefits and difficulties of using them.MethodsThis study examines the communication strategies of adolescents with ASD in using SNS, through semi-structured in-depth interviews with 10 adolescents diagnosed with ASD.ResultsFindings are on three main aspects: reasons for using SNS, actual SNS use, and social characteristics of ASD as expressed through SNS engagement.ConclusionThe main finding is that SNS use among adolescents with ASD exposes their deficiencies in communication despite providing emotional support. This study highlights the importance of guiding SNS use by adolescents with ASD.
Effects of a virtual reality-based motivational reinforcement + desensitization intervention program on psychological craving and addiction memory in female MA-dependent young adults
Authors: Ji Xihui , Tang Yuyao , Jing Lushi , Zhou Li , Wu Binbin , Deng Yong , Zhou Sijin , Yang Yangyan 
Published: July 2023

ObjectivesThe aim of this study was to explore the effects of a virtual reality (VR)-based motivational reinforcement + desensitization intervention program on psychological craving and addiction memory in female methamphetamine (MA)-dependent young adults.MethodsWe recruited 60 female MA-dependent young adults in a compulsory isolation drug rehabilitation facility in Sichuan Province, and randomly assigned them to intervention (mean age = 23.24 ± 2.06) and control groups (mean age = 23.33 ± 2.09). The intervention group received a VR-based motivational enhancement + desensitization intervention (total of eight sessions over a 4-week period), while the control group received regular detoxification management during the same period. Assessments were conducted before, immediately after, and 1 month after the intervention, with a visual analogue scale (VAS) being used to assess subjective craving, electronic sphygmomanometer employed to measure physiological parameters, and the Addiction Memory Intensity Scale (AMIS) applied to assess addiction memory intensity.ResultsGeneralized estimating equation analysis showed significant main effects of group on changes in heart rate difference, systolic blood pressure difference, VAS and AMIS scores (all p &lt; 0.01), and a significant time main effect on changes in diastolic blood pressure difference, VAS and AMIS scores (all p &lt; 0.01), and a significant group × time interaction effect on changes in the difference values of three physiological parameters, VAS and AMIS scores (p &lt; 0.01 or p &lt; 0.05). After the intervention, the differences in three physiological parameters, and the VAS and AMIS scores, were significantly lower in the intervention than in the control group (all p &lt; 0.05), and the difference between the two groups remained significant 1 month after the end of the intervention (both p &lt; 0.01). VAS scores, heart rate difference, and diastolic blood pressure difference in the intervention group were significantly lower than baseline scores, both at the end of the intervention and 1 month thereafter (all p &lt; 0.01); the systolic blood pressure difference in the intervention group was significantly lower at the end of the intervention than at baseline (p &lt; 0.05); AMIS scores in the intervention group were significantly lower than the baseline scores 1 month after the end of the intervention (p &lt; 0.01).ConclusionOur VR-based motivational reinforcement + desensitization intervention program can effectively reduce psychological craving and physiological reactivity for drugs, and the intensity of addictive memories in female MA-dependent young adults, even after 1 month.