bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Sleep Disruptions on the Mental Health of Atrial Fibrillation Inpatients: A Cross-sectional Study
Authors: Hu Lixing , Ding Xiaotong , Tang Min 
Published: March 2023

Abstract
Objectives: To evaluate theinteractions between anxiety, depression and sleep attributes in atrial fibrillation inpatients of a single tertiary center in China to improve identification of patients who require additional psychological care.
Methods: We retrospectively enrolled 332 atrial fibrillation inpatients and evaluated their psychological and sleep status with the Zung Self-Rating Anxiety Scale (SAS), Zung Self-Rating Depression Scale (SDS), and Pittsburgh Sleep Quality Index (PSQI), respectively. Potential risk factors for anxiety and depression were analyzed by multivariate logistic regression. Odds ratios (OR) for risk of poor sleep quality were adjusted by age and gender in patients with different psychological statuses (anxiety only, depression only, combined anxiety and depression).
Results: Participants with an average age of 58.6±10.5years, and 67.8% males were involved in the study. Patients with anxiety and depression accounted for 21.1 and 34.0%, respectively. Potential risk factors for anxiety were female (P = 0.045) and poor sleep quality (P = 0.001); for depression were obesity (P = 0.033) and poor sleep quality (P<0.001). The likelihood of experiencing sleep disturbances was 3.69 times greater in patients suffering from both anxiety and depression (OR: 3.69; 95% confidence interval [CI]: 1.94–7.01; P＜0.001), 2.14 times greater in depressed patients (OR: 2.14; 95% CI: 1.16–3.96; P = 0.016), and 2.06 times greater in anxious patients (OR=2.06; 95%CI: 0.72-5.94; P = 0.180).
Conclusions: Psychological disturbances are prevalent among Chinese inpatients with atrial fibrillation, especially among females and obese individuals. There is an association between anxiety and depression respectively, with sleep disorders. Persistent sleep disruption may be a significant risk factor for psychological disorders, and patients suffering from anxiety and depression have the highest risk for sleep disruption.
A process model of learning effect and learner emotion occurrence in offline learning environments—an empirical study for the learning spiral model
Authors: Mou Xiangwei , Xin Yu , Song Yongfu , Xiang Jinshan , Tang Yuanbin 
Published: March 2023

Abstract
The application of non-cognitive factors represented by facial emotion in educational evaluation has attracted much attention in recent years. There are many existing studies on facial emotion assisted education evaluation, but most of them are based on virtual learning environments, which means that the research on facial emotion and learning effect in offline learning environments is sparse. In order to solve this problem, this study designed an emotion observation experiment based on the offline learning environment, obtained the type of learner facial emotion and learning effect of 127 college students, and further explored the relationship between the two. The results show that: 1) We obtained eight types of learner emotion through the combined description method: joy, relaxation, surprise, meekness, contempt, disgust, sadness, anxiety and their respective PAD emotional mean. 2) We obtained the correlation results of the six emotions of joy, relaxation, surprise, meekness, contempt, and anxiety with the learning effect and the predicted value of the learning effect. 3) We then constructed an explanatory model of learner emotion and learning effect based on the offline learning environment.
Noise Resistance of Next Generation Reservoir Computing: A Comparative Study with High-Order Correlation Computation
Authors: Liu Shengyu , Xiao Jinghua , Yan Zixiang , Gao Jian 
Published: March 2023

Abstract

Reservoir computing (RC) methods have received more and more attention and applications in chaotic time series prediction with their simple structure and training method. Recently, the next generation reservoir computing (NG-RC) method (Nature Communications,12,5564) has been proposed with less training cost and better time-series predictions. Nevertheless, in practice, available data on dynamic systems are contaminated with noise. Though NG-RC is shown highly efficient in learning and predicting, its noise resistance captivity is not clear yet, limiting its use in practical problems. In this paper, we study the noise resistance of the NG-RC method, taking the well-known denoising method, the high-order correlation computation (HOCC) method, as a reference. Both methods have similar procedures in respect of function bases and regression processes. With the simple ridge regression method, the NG-RC method has a strong noise resistance for white noise, even better than the HOCC method. Besides, the NG-RC method also shows a good prediction ability for small color noise, while it does not provide correct reconstruct dynamics. In this paper, other than reconstruction parameters, four numerical indicators are used to check the noise resistance comprehensively, such as the training error, prediction error, prediction time, and auto-correlation prediction error, for both the short-time series and long climate predictions. Our results provide a systematic estimation of NG-RC's noise resistance capacity, which is helpful for its applications in practical problems.
Assessment of Quality of Life and Socioeconomic Inequality in Children with Cyanotic Congenital Heart Disease in Sulaimaniyah, Iraq
Authors: Kamal Niaz Mustafa , Salih Aso Faiq , Ali Bushra Mohammed 
Published: March 2023

Abstract
Background: The concept of quality of life (QoL) covers physical/psychological health, level of independence, social relations, environmental factors, and individual beliefs.
Objective: This study aimed to investigate health-related QoL in children with cyanotic congenital heart disease (CCHD) and to determine socioeconomic inequality in CCHD.
Patients and Methods: This case-control study was conducted at Children’s Heart Hospital and Primary Healthcare Centers on 400 children (200 healthy and 200 with CCHD) from December 01, 2021, to May 01, 2022, in Sulaimaniyah, Iraq. For this purpose, a 5 Likert Scale QoL questionnaire was used to collect the data of patients and their parents through a direct face-to-face interview. Then, children's sociodemographic data and parents' socioeconomic status (SES) was investigated together with another 22 items in 6 domains.
Results: Studied children had equal gender and age distribution. CCHD was more prevalent in families with low SES, and ECI was - 0.44. Children with CCHD had significantly lower mean scores for the overall QoL dimension (Mean rank=124) compared to healthy children (Mean rank=277) (P≤0.001). About 91.5% of CCHD patients had poor QoL compared to 7.5% of healthy children. The mean SpO2 levels of healthy children were 9 % higher than CCHD children (P<0.001). Moreover, parents with CCHD children stated that 57% of their children had moderate to excellent health, while those with healthy children reported 98% (P=0.001).
Conclusions: Significant deficits in all QoL dimensions were found in CCHD children. Also, we discovered an inequality distribution of CCHD in families with lower SES.
Stronger diversification of human thermal stress conditions observed in low-income Asian countries
Authors: Yan Yechao , Xu Yangyang , Yue Shuping 
Published: March 2023

Abstract
The day-to-day diversity of thermal conditions determines the range of human thermal sensation within a year, and its long-term shift affects thermal comfort demand with profound economic and public health implications. While previous studies have documented historical trends in specific thermal stress events regionally, such as heat waves and cold spells, how the temporal diversity of various thermal stress types has changed in response to climate change remains unexplored. Here, we present a practical and easy-to-use classification framework to characterize daily thermal conditions and then we use the Shannon’s index to quantify the diversity and its long-term shift over the past three decades (1990–2019). Using a high-spatial-resolution dataset of Universal Thermal Climate Index (UTCI) we developed for Asian regions, we quantify the diversity of daily thermal stress types and the population-weighted trends for each country in South, Southeast and East Asia. We find that human thermal stress conditions have become more diversified, especially in low-income tropical countries. This disproportionately stronger diversification in daily thermal stress types may worsen socio-economic inequity between wealthy and poor countries, posing great adaptation challenge for the latter.
Genetic diversity and albumin content of striped snakehead Channa striata in Indonesia; a study on farmed and wild fish from five main islands
Authors: Hidayati Rohana , Purwanto - , Rustadi - , Hardaningsih Ignatius , Murwantoko - , Sari Dini Wahyu Kartika 
Published: March 2023

Abstract
Genetic characterization and eminent traits of species are crucial in determining the direction of aquaculture development. The genetic diversity of striped snakehead (Channa striata) across five main islands in Indonesia from aquaculture and wild was explored through its partial mtDNA COI. Subsequently, this study examined the albumin content extracted from the meat and comprehensively aligned it with the variation of its genotype. Phylogeny studies showed the Sumatran snakehead fish sample forms its own cluster and has a long genetic distance from other samples. Interestingly, its albumin content in Sumatra samples was significantly higher (1.907%) than others (1.253-1.509%). Further analysis of albumin content from the Borneo samples from the same taxa in the phylogeny tree, showed no significant difference between farmed and wild C. striata. The findings of this study are fundamental for initiating a selective breeding program and developing conservation management.
Transcriptomic and Metabolomic Analysis of Anthocyanin and Carotenoid Biosynthesis in Red and Yellow Fruits of Sweet Cherry (Prunus avium L.) during Ripening
Authors: Wang Qinghao , Jing Luyang , Xu Yue , Zheng Weiwei , Zhang Wangshu 
Published: March 2023

Abstract
Diversity of fruit color in sweet cherry (Prunus avium L.) has been attributed to the presence of either anthocyanin or carotenoid. We profiled the anthocyanin and carotenoid metabolites to investigate the most different pigments and the underlying regulatory mechanisms of differential expression genes (DEGs) between red and yellow fruits of sweet cherry.
Profiled the two cultivars,‘Jiangnanhong’(JNH, red fruits) and‘Chaoyang’(CY, yellow fruits) anthocyanin and carotenoid metabolites by LC-MS/MS and transcriptome analysis by RNA-seq to test the difference of gene expression and metabolic substances between the two varieties.
Cyanidin-3-O-rutinoside was the most different pigment between two cultivars, the content of which in red fruit was significantly higher than yellow one during the whole ripening stage (stage 3 and stage 4). Total carotenoid content in the two color types of fruits were close, but the content in yellow fruit showed more stable after harvest. Based on the transcriptome data, the heatmap of selected structural DEGs showed that all of the anthocyanin genes expressed significantly higher levels in red fruits than that in yellow fruits. Two unigenes encoding chalcone synthase (CHS) and UDP glucose-flavonoid 3-O-glucosyltransferase (UFGT) expressed 1134.58 and 1151.24 times higher in red than in yellow fruits at stage 4, respectively.
Correlation analysis showed that anthocyanin genes in JNH were negatively correlated with that in CY, contrastly, there were some strong correlations were observed between two cultivars in carotenoid genes. Thus, the coloration of sweet cherry was mainly attributed to anthocyanin-related genes.
Androgen receptor signalling transactivator lncRNAs PRNCR1 and PCGEM contribute to PCOS pathogenesis
Authors: Nabi Mudasar , Rasool Shayaq Ul Abeer , Ashraf Sairish , Andrabi Syed Mudasir , Amin Shajrul 
Published: March 2023

Abstract
polycystic ovary syndrome is the most common endocrine, reproductive disorder of women in their reproductive years. It is commonly considered as an androgenic disorder. Apart from high circulating testosterone levels, hyperandrogenism can also be attributed to the hyperactive androgen receptor (AR). Androgen receptor mediated signalling involves the association of multiple coactivators and corepressors and any aberrant activity of these factors may disrupt the normal transcriptional activity of AR and hence may act as contributing factors in the pathophysiology of various diseases. LncRNAs prostate cancer associated non-coding RNA 1 (PRNCR1) and prostate cancer gene expression marker 1 (PCGEM1) act as androgen receptor coactivator lncRNAs. The study was aimed at determining the association of lncRNAs PRNCR1 and PCGEM1 with PCOS. In this case-control study, a total of 178 participants were recruited these included 105 PCOS cases and 73 age-matched healthy controls. The Anthropometric, Metabolic and hormonal characteristics of the participants were determined. Total RNA was isolated from peripheral mononuclear blood cells and reverse transcribed into cDNA. Quantitative real-time PCR (qPCR) was done to study the expression pattern on lncRNAs. The association between different hormonal and metabolic parameters with the expression of PRNCR1 and PCGEM1 was determined by correlation analysis. Our study for the first time demonstrated that lncRNA PRNCR1 and PCGEM1 are overexpressed in Kashmiri women with PCOS. The expression levels of PRNCR1 (PRNCR1, 5.26 ± 1.77 versus 1.22 ± 0.73; P < 0.001) and PCGEM1 (PCGEM1, 3.39 ± 1.88 versus 1.23 ± 0.74; P < 0.001) were significantly higher in PCOS women compared to controls. Furthermore, lncRNA PRNCR1 showed a positive correlation with testosterone (P < 0.001).
Video Action Recognition Collaborative Learning with Dynamics via PSO-ConvNet Transformer
Authors: Nguyen Huu Phong , Ribeiro Bernardete 
Published: March 2023

Abstract
Recognizing human actions in video sequences, known as Human Action Recognition (HAR), is a challenging task in pattern recognition. While Convolutional Neural Networks (ConvNets) have shown remarkable success in image recognition, they are not always directly applicable to HAR, as temporal features are critical for accurate classification. In this paper, we propose a novel dynamic PSO-ConvNet model for learning actions in videos, building on our recent work in image recognition. Our approach leverages a framework where the weight vector of each neural network represents the position of a particle in phase space, and particles share their current weight vectors and gradient estimates of the Loss function. To extend our approach to video, we integrate ConvNets with state-of-the-art temporal methods such as Transformer and Recurrent Neural Networks. Our experimental results on the UCF-101 dataset demonstrate substantial improvements of up to 9% in accuracy, which confirms the effectiveness of our proposed method. Overall, our dynamic PSO-ConvNet model provides a promising direction for improving HAR by better capturing the spatio-temporal dynamics of human actions in videos. The code is available at https://github.com/leonlha/Video-Action-Recognition-Collaborative-Learning-with-Dynamics-via-PSO-ConvNet-Transformer.
Study on acoustic emission characteristics and damage evolution of shale under uniaxial compression
Authors: Wu Wenjie , Chan CheeMing , Gu Yilei , Su Xiaopeng 
Published: March 2023

Abstract
Acoustic emission tests under uniaxial compression of shale were carried out by using MTS815 rock servo test system and PCI-2 acoustic emission system. The law of acoustic emission and its damage evolution characteristics are analyzed and a uniaxial compression damage constitutive model of shale based on acoustic emission characteristics is established. The research shows that: (1) The uniaxial compression process of shale can be divided into four stages: crack compaction stage - elastic stage to the stable development stage of micro-elastic fracture - unstable fracture development stage - post-rupture stage. The acoustic emission signals are less during crack compaction stage and elastic stage to the stable development stage of micro-elastic fracture. When the axial stress reaches the damage strength σcd, which is about 80% of the peak strength, a large number of acoustic emission signals begin to be generated. There will be a large number of acoustic emission phenomena in the unstable fracture development stage and post-fracture stage. (2) The acoustic emission signal can well reflect the internal damage and destruction process of shale. The damage factor D shows a trend of decreasing first and then increasing with the increase of acoustic emission cumulative ringing counts, rather than monotonically increasing. When the acoustic emission cumulative ringing counts and damage factor start to increase slowly, the corresponding stress can be regarded as the crack initiation strength σci. (3) The damage factor D is proportional to the cumulative acoustic emission ringing counts N. According to the acoustic emission characteristics of rock specimens at different stages, the relationship between the damage factor D and the acoustic emission cumulative ringing counts C at different stages is obtained by linear fitting using origin software, thus a more reasonable shale damage constitutive model is established. In this way, the theoretical stress-strain curve obtained by the damage constitutive model is more consistent with the actual stress-strain curve.
3’ end hydrolysis activity of the Bst polymerase enables rapid and sensitive identification of SARS-CoV-2 variants
Authors: Ooi Kean Hean , Liu Mengying Mandy , Burhanudin Muhammad Safwan Bin , Thirunavukarasu Surenthar , Oh Zhi Qi Victor , Kwa Shiuan Ning Shannon , Ng Tian Hui Valerie , Nimsamer Pattaraporn , Payungporn Sunchai , Kaewsapsak Pornchai , Tan Meng How 
Published: March 2023

Abstract
Sensitive and accurate detection of genetic variants is important in many clinical applications, including the identification of specific pathogens or viral subtypes. However, existing methods are too time-consuming or complex, hampering their deployment in point-of-care settings. Here, we demonstrate that the intrinsic 3’ hydrolysis activity of the Bst polymerase deployed in loop-mediated isothermal amplification (LAMP) reactions can cleave off an end-conjugated quencher from a fully hybridised DNA oligonucleotide, allowing us to develop a fluorescent probe-based method that is highly sensitive to single nucleotide mismatches. We utilize our method, named SNiPER, to build diagnostic assays that detect different SARS-CoV-2 variants, including Alpha, Beta, Delta, and Omicron. Furthermore, we manufacture a simple device with 3D printing and inexpensive off-the-shelf electronics components to enable point-of-care testing and validate our assays on 32 patient samples, achieving perfect concordance with sequencing-based variant classification. Our technology can be quickly reconfigured to detect different pathogens and their variants, providing us with a useful tool to address any future infectious disease outbreak.
Impact of macrolide treatment on long-term mortality in patients admitted to the ICU due to CAP: A targeted maximum likelihood estimation and survival analysis
Authors: Reyes Luis Felipe , Garcia Esteban , Ibáñez-Prada Elsa D. , Serrano-Mayorga Cristian C. , Fuentes Yuli V. , Rodriguez Alejandro , Moreno Gerard , Bastidas Alirio , Gómez Josep , Gonzalez Angélica , Frei Christopher R , Celi Leo A. , Martin-Loeches Ignacio , Waterer Grant 
Published: March 2023

Abstract
Introduction:
Patients with community-acquired pneumonia (CAP) admitted to the intensive care unit (ICU) have high mortality rates during the acute infection and up to ten years thereafter. Recommendations from international CAP guidelines include macrolide-based treatment. However, there is no data on the long-term outcomes of this recommendation. Therefore, we aimed to determine the impact of macrolide-based therapy on long-term mortality in this population.
Methods
Registered patients in the MIMIC-IV database 16 years or older and admitted to the ICU due to CAP were included. Multivariate analysis, targeted maximum likelihood estimation (TMLE) to simulate a randomised controlled trial, and survival analyses were conducted to test the effect of macrolide-based treatment on mortality six-month [6m] and twelve-month [12m] after hospital admission. A sensitivity analysis was performed excluding patients with Pseudomonas aeruginosa or MRSA pneumonia to control for Healthcare-Associated Pneumonia (HCAP).
Results
3775 patients were included, and 1154 were treated with a macrolide-based treatment. The non-macrolide-based group had worse long-term clinical outcomes, represented by 6m (31.5 [363/1154] vs 39.5 [1035/2621], p < 0.001) and 12m mortality (39.0 [450/1154] vs 45.7 [1198/2621], p < 0.001). The main risk factors associated with long-term mortality were Charlson comorbidity index, SAPS II, septic shock, and respiratory failure. Macrolide-based treatment reduced the risk of dying at 6m (HR [95% CI] 0.69 [0.60, 0.78], p < 0.001) and 12m (0.72 [0.64, 0.81], p < 0.001]). After TMLE, the protective effect continued with an additive effect estimate of -0.069.
Conclusion
Macrolide-based treatment reduced the hazard risk of long-term mortality by almost one-third. This effect remains after simulating an RCT with TMLE and the sensitivity analysis for the HCAP classification.
Surgical management of unstable large displacement upper femoral epiphysiolysis
Authors: Coulibaly Kalifa , Sanogo Cheick Oumar , Diallo Mahamadou , Moussa Abdoul Kadri , Traore Soumana , Diallo Aboubacar , Traoré Ousmane , Tambassi Sory Ibrahim , Toure Layes 
Published: March 2023

Abstract
Introduction: Superior femoral epiphysiolysis (SFE) is a slippage of the femoral head relative to the cervical growth plate. Unstable forms with large displacement have a high risk of femoral head necrosis and chondrolysis. Rapid reduction of epiphyseal displacement has been blamed for epiphyseal ischemia.
Objective: We present here the anatomical results of a technique of progressive reduction of epiphyseal displacement by transtibial traction followed by percutaneous fixation of the femoral head with screws and/or pins.
Patients and Methods: This was a retrospective descriptive study over a 10-year period from January 01, 2013 to December 31, 2022. It focused on the surgical treatment of unstable upper femoral epiphysiolysis with large displacement at the orthopedic trauma department of the Kati University Hospital. Continuous progressive traction on the Boppe splint through a pin under the anterior tibial tuberosity was performed for 15 days in all patients. The hip and knee were flexed to 90°. Fixation was performed with either one screw, two screws, or one screw and a pin. No contralateral preventive fixation was performed.
Results: At final follow-up, all nine patients were asymptomatic. Radiologically, all nine patients had a femoral head free of epiphyseal necrosis. In eight patients, the posterior tilt was absent, identical to that obtained after the traction period (Figure 3). Only one patient had a moderate posterior tilt with a neck overhang of less than 25%. Functionally, the PMA score was very good in 8 cases and good in one case.
Conclusion: This study shows that the treatment of acute and unstable forms of upper femoral epiphysiolysis by progressive reduction with transtibial traction is an effective technique. It allows a satisfactory reduction of the displacement, an easy fixation of the slip with a lower risk of necrosis of the femoral head and of chondrolysis.