bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systemic Genome Correlation Loss as a Central Characteristic of Spaceflight
Authors: Taghibiglou Changiz , Sakharkar Anurag , Lukong Kiven , Sanders Lauren , Costes Sylvain , Yang Jian 
Published: February 2024

Abstract
Space exploration has captured the imagination of humanity for generations. From the first steps on the moon to the recent Mars rover and Artemis lunar exploration missions, space travel has always been an ambitious goal for humanity. However, as we venture further into space and prepare for long-term missions to other planets, the physiological and health risks associated with prolonged space travel are becoming more prominent. Most current research on astronaut health focuses on identifying individual genes or pathways for specific symptoms astronauts face. The human system is complex and delicate, and the effects of microgravity, radiation, and isolation on astronaut health during long-duration spaceflight are still not fully understood. This study used a novel ranking and analysis methodology to combine space omics data from multiple datasets in the NASA OSDR repository. The data was used to generate a multi-omic, integrative bioinformatics analysis pipeline, which identified and characterized a genome-wide spaceflight gene expression correlation loss as a central biosignature for astronaut health on the International Space Station (ISS). Our findings indicate that genome-wide correlation loss corresponds to a breakdown in gene synchronization and cooperation, showcasing the systemic symptoms spaceflight induces and their genomic roots.
MOI: a comprehensive database of multi-omics upon viral infection
Authors: Guo Xuefei , Zhao Yang 
Published: February 2024

Abstract
Viral infections are huge threats to human health and cause many diseases. For instance, SARS-CoV-2 infection causes COVID-19, resulting in millions of deaths worldwide in the past 2 years. To develop effective strategies for controlling viral infections and curing infected patients, we must understand which molecular events happened in host cells or tissues upon infection. Multi-omics data related viral infection is growing rapidly, however, a comprehensive database for systematically documenting host responses to viruses is missing. Here, we developed a user-friendly multi-omics portal of viral infection named as MOI (http://www.fynn-guo.cn/). We manually collected high-throughput sequencing data associated infection of different viruses, and their detailed metadata including virus species, assay type and so on, from PubMed and GEO. We have processed omics data of more than 3200 viral infected samples from viral infection in both human and mice with standard pipelines, including (sc)RNA-seq, ChIP-seq and ATAC-seq. Then, we integrated this information into useful cell marker tables, gene expression tables, and epigenetic landscape charts. In addition, we developed multiple online tools to help users analyze their own data, such as DNA sequence convertion, FPKM calculation and differentially expressed genes identification and GO/KEGG enrichment analysis. Furthermore, we have implemented powerful tools for efficiently visualizing the multi-omics data with 16 common plots. MOI aspire to provide a user-friendly interface for browsing, searching, analyzing, visualizing and downloading all virus-related data, which could facilitate the analysis and utilization of available multi-omics data and promote the understanding of virus-host interactions.
• MOI provides comprehensive cell markers from scRNA-seq of human and mouse.
• MOI also contain abundant expression profiles and epigenetic landscapes for human and mouse with different treatment.
• MOI integrates a series of online tools for multi-omics analysis and visualization.
Risk factors for severe COVID-19 infection and the impact of COVID-19 infection on disease progression among patients with AAV
Authors: Wang Chen , Li Zhi-Ying , Jiang Gui-Ping , Zhao Ming-Hui , Chen Min 
Published: February 2024

Abstract

Objective
To identify risk factors for COVID-19 infection and investigate the impact of COVID-19 infection on chronic kidney disease (CKD) progression and vasculitis flare in patients with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV).
Methods
This cohort study retrospectively analyzed the prevalence and severity of COVID-19 infection in 276 patients with AAV who were followed up. Logistic regression was employed to estimate the risk of COVID-19 infection as well as CKD progression and vasculitis flare upon COVID-19 infection.
Results
During the 6-month observation period, 213 (77.2%) of 276 patients had a diagnosis of COVID-19 infection. Of these 213 patients, 49 (23.0%) had a COVID-19-related inpatient admission, including 17 patients who died of COVID-19 infection. AAV patients with severe COVID-19 infection were more likely to be male (OR 1.921 [95% CI 1.020–3.619], P = 0.043), suffered from worse kidney function (serum creatinine [Scr], OR 1.901 [95% CI 1.345–2.687], P < 0.001), had higher C-reactive protein (CRP) (OR 1.054 [95% CI 1.010–1.101], P = 0.017) and less likely to have evidence of initial vaccination (OR 0.469 [95% CI 0.231–0.951], P = 0.036), and Scr and COVID-19 vaccination were proven to be significantly associated with severe COVID-19 infection even after multivariable adjustment. Severe COVID-19 infection was significantly associated with subsequent CKD progression (OR 7.929 [95% CI 2.030-30.961], P = 0.003) and vasculitis flare (OR 11.842 [95% CI 1.048-133.835], P = 0.046) among patients with AAV.
Conclusion
AAV patients who were male, and with worse kidney function were more susceptible to severe COVID-19 infection, which subsequently increased the risk of CKD progression and vasculitis flare.
An Examination of A Single-Pass Heat Exchanger's Parametric Design Using Coding
Authors: Monu Pardeep kumar , Naveen Naveen Kumar , Raj Raj Kumar , Amit Amit Sharma , Anju Anju 
Published: February 2024

Abstract
The main objective of this real-life example is to help readers who may have just a basic understanding of engineering concepts and a limited amount of expertise with the exchange of heat equipment. The procedure of creating a structure, a thermal transfer area, as well as pressure decreases whereas determining whether the inferred variables satisfy every need is referred to as Thermo-Hydraulic Structure originality. Analyzing many design variables is necessary for the hydrocracker unit heat exchanger, commonly known as the compact thermal exchanger. The design phases and assumptions are covered in this research as well. Borlando C++ program is used for parametric research evaluations. The intricate connections between fluid mechanics and heat transfer are also shown in this case study, drawing from a variety of scholarly research papers and industry recognized design data book. The design seeks to produce a high rate of heat transfer rather than a large pressure drop. The coding is essential to the design of densely packed heat exchangers and represents a significant improvement over previous designs.
The malonyl/acetyl-transferase from murine fatty acid synthase is a promiscuous engineering tool for editing polyketide scaffolds
Authors: Grininger Martin , Buyachuihan Lynn , Reiners Simon , Zhao Yue 
Published: February 2024

Abstract

Modular polyketide synthases (PKSs) play a vital role in the biosynthesis of complex natural products with pharmaceutically relevant properties. Their modular architecture makes them an attractive target for engineering to produce platform chemicals and drugs. In this study, we demonstrate that the promiscuous malonyl/acetyl-transferase domain (MAT) from murine fatty acid synthase serves as a highly versatile tool for the production of polyketide analogs. We evaluate the relevance of the MAT domain using three modular PKSs; the short trimodular venemycin synthase (VEMS), as well as modules of the PKSs deoxyerythronolide B synthase (DEBS) and pikromycin synthase (PIKS) responsible for the production of the antibiotic precursors erythromycin and pikromycin. To assess the performance of the MAT-swapped PKSs, we analyze the protein quality and run engineered polyketide syntheses in vitro. Our experiments include the chemoenzymatic synthesis of fluorinated macrolactones. Our study showcases MAT-based reprogramming of polyketide biosynthesis as a facile option for the regioselective editing of polyketide scaffolds.
Causal role of circulating inflammatory proteins in Angina pectoris: a bidirectional Mendelian randomization study with mediator insights
Authors: Zhang Xin-He , Zhang Dan , Liu An-Bang , Meng Ting-Ting , Tian Peng , Chen Jian-Lin , Xu Hong-Wei , Zhang Yu , Lin Yan-Xia , Zheng Yan , Su Guo-Hai 
Published: February 2024

Abstract
Background: Angina pectoris (AP), characterized by retrosternal chest pain, pressure, or discomfort, serves as a prognostic indicator for significant cardiac adverse events and has been associated with numerous inflammatory mechanisms in prior research. Nevertheless, the precise causal connection between AP and diverse circulating inflammatory proteins remains inadequately elucidated.
Methods: This study used a thorough two-sample Mendelian randomization analysis to determine the causal link between inflammatory proteins in the blood and AP. We used public genetic data to study the link between 91 inflammatory cytokine signatures and susceptibility to AP. Furthermore, we employed a two-step MR approach, incorporating data from 1400 metabolites, to explore potential mediators in the relationship between circulating inflammatory proteins and AP. A comprehensive sensitivity analysis was conducted to ascertain the validity of the findings, considering factors such as robustness, pleiotropy, and heterogeneity.
Results: Following the application of the false discovery rate (FDR) correction (P < 0.05), it was determined that circulating inflammatory proteins exhibited a significant impact on AP. In our study, one circulating inflammatory protein was identified as negatively associated with AP risk significance: interleukin-10. In addition, we examined 5 circulating inflammatory proteins with no statistically significant effect of AP, but it is worth mentioning that they had an unadjusted low P-value phenotype. Two of them, respectively, leukemia inhibitory factor, interleukin−4 have a negative effect on the incidence of AP, whereas the remaining three, interleukin−20 ，interleukin−22 receptor subunit alpha−1, neurotrophin−3 have a positive effect on the incidence of AP. At the same time, we also detected the effects of AP on three circulating inflammatory proteins after multiple FDR correction adjustments. They are t−cell surface glycoprotein CD5, interleukin−10 receptor subunit beta, and interleukin−18 receptor 1. We also examined the effect of a circulating inflammatory proteins called hepatocyte growth factor on AP without statistical significance, but its P FDR <0.2. They all showed a downward trend after the onset of AP.
Conclusions: As a result of our study, it was demonstrated that circulating inflammatory proteins are closely associated with AP via genetic means, which provides guidance for future clinical studies. This finding provides evidence for the prevention and treatment of AP with drug therapy targeting circulating inflammatory proteins. Further exploration is needed to verify the clinical significance of the association of circulating inflammatory proteins with the risk of AP development.
Activation of the hippocampal CA1 astrocyte Gq and Gi G protein-coupled receptors exerts a protective effect against attention deficit hyperactivity disorder
Authors: Shan Yu-Dong , Yu Zhi-Fang , Lv Ge-Ge , Shan Yong-Lin , Li Bao-Dong , Zhao Jian-Yong , Li Xiao-Ming , Gao Wei-Juan , Zhang Li-Min 
Published: February 2024

Abstract
Background
Attention deficit hyperactivity disorder (ADHD) is characterized by symptoms such as inattention, hyperactivity and impulsiveness, which significantly impact the healthy development of children. Our prior research demonstrated that exposure to S-Ketamine during pregnancy can lead to the development of ADHD, and existing studies have established a close association between astrocytes and the onset and progression of ADHD. The activation and inhibition of astrocytes are closely linked to neuropsychiatric dysfunction, and astrocytic NOD-like receptor protein 3 (NLRP3) has been reported to contribute to alterations in mental state and cognitive deficits. Thus, this study aims to investigate the role of astrocytes in ADHD by selectively modulating astrocyte function through Gq and Gi G protein-coupled receptors (GPCRs) and by specifically targeting the knockout of NLRP3.
Methods
Pregnant C57BL/6J mice or mice with a specific deletion of NLRP3 in astrocytes were administered intraperitoneal injections of 15 mg/kg of S-ketamine for 5 consecutive days from gestational day 14 to 18 to establish an ADHD model. To modulate astrocyte activity in the hippocampal CA1 region, we administered astrocyte-specific Gq-Adeno-associated virus (AAV) or Gi-AAV into the CA1 and maintained treatment with CNO. At 21 days postnatally, we conducted open field test (OFT), novel object recognition (NOR), elevated plus maze (EPM) and fear conditioning (FC) in the offspring mice. Additionally, on postnatal day 14, we implanted electrodes in the CA1 region of the offspring mice for neurophysiological monitoring and investigated local field potentials (LFP) during novel object exploration on postnatal day 21. Lastly, pathological assessments were conducted after euthanasia.
Results
Both the activation and inhibition of astrocytes in the hippocampal CA1 region improved impulsive-like behaviors and cognitive function in ADHD mice, reduced the power of theta (θ) oscillations during novel object exploration and decreased NLRP3-associated inflammatory factors, including cleaved caspase-1 and IL-8. Furthermore, compared to WT mice, astrocyte-specific NLRP3 conditional knockout mice demonstrated significantly reduced impulsive behavior and cognitive deficits, as well as a decrease in θ oscillation power and a reduction in NLRP3-associated inflammatory factors.
Conclusions
Our data provide compelling evidence that the activation of astrocytic Gq or Gi pathways improves ADHD-like behaviors through NLRP3-dependent mechanisms.
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation using Graph Neural Networks
Authors: Molaei Soheila , Bousejin Nima Ghanbari , Ghosheh Ghadeer O. , Thakur Anshul , Chauhan Vinod Kumar , Zhu Tingting , Clifton David A. 
Published: February 2024

Abstract

Electronic Health Records (EHRs) play a crucial role in shaping predictive healthcare models, yet they encounter challenges such as significant data gaps and class imbalances. Traditional Graph Neural Networks (GNNs) approaches have limitations in fully leveraging neighbourhood data or demanding intensive computational regularisation. To address this challenge, we introduce CliqueFluxNet, a novel framework that innovatively constructs a patient similarity graph to maximise cliques, thereby highlighting strong inter-patient connections. At the heart of CliqueFluxNet lies its stochastic edge fluxing strategy — a dynamic process involving random edge addition and removal during training. This strategy aims to enhance the model's generalizability and mitigate overfitting. Our empirical analysis, conducted on MIMIC-III and eICU datasets, demonstrates significant progress in representation learning, particularly in scenarios with limited data availability. Qualitative assessments further underscore CliqueFluxNet’s effectiveness in extracting meaningful EHR representations, solidifying its potential for advancing GNN applications in healthcare analytics.
DCD-Net: Image Deraining with Delta Convolution and Joint Calibration Attention
Authors: Que Hanjing , Weng Jianing , Fang Ying , Hu Kejian , Wei Hongan , Xu Yiwen 
Published: February 2024

Abstract

Rain streaks typically result in pronounced visual degradation and foreground occlusions, impeding the progress of visual tasks in outdoor scenarios. Presently, predominant methodologies for image deraining rely on Convolutional Neural Networks (CNNs). However, CNNs tend to focus excessively on low-level visual features, exhibiting limited capability in capturing high-dimensional, global features. They lack targeted attention to channel information and spatial details. Consequently, this paper propose the Delta-Calibration Derain Network (DCD-Net). This model introduces a sequential delta convolutional layer (DCL) structure to expansively augment the feature acquisition range. Furthermore, this study pioneers the Joint Calibration Attention (JCA) module to precisely capture channel and spatial feature information, thereby elevating network performance. Experimental findings substantiate that the proposed methodology outperforms conventional CNN-based deraining models, demonstrating superior visual performance.
Association of Adverse Childhood Experiences and Catastrophic Health Expenditures in China: Evidence from the China Health and Retirement Longitudinal Study (CHARLS)
Authors: Yu siying , Xie Shiyu , Ma Yue , Luo Jing , Zhang Yonghui , Wang Rui , Wang Yafei , Wang Yuling , Wang Xueqiang 
Published: February 2024

Abstract
Background: Associations between adverse childhood experiences (ACEs) and catastrophic health expenditures (CHEs) among middle-aged or older Chinese individuals have not been well documented. In addition, the role of chronic diseases is not entirely clear. This study was conducted using data from the China Health and Retirement Longitudinal Study (CHARLS) to examine association of ACEs with hospital visits and medical expenditures and the mediating effect of chronic diseases.
Methods: Negative binomial regression models were used to assess associations of the ACEs with the number of outpatient visits and inpatient hospital days. Logistic regression models were used to assess associations between the ACEs and catastrophic health expenditures (CHEs). The influence of chronic diseases is discussed by mediating analysis.
Results: The prevalence of each ACE indicator ranges from 0.27% (incarcerated household member) to 31.5% (emotional neglect). Moreover, 75.18% were exposed to at least one ACE. Our main analysis identified a significant dose–response relationship for the cumulative ACE scores and the number of outpatient visits (p-trend < 0.001), inpatient hospital days (p-trend < 0.001), and CHEs (p-trend < 0.001). After adjusting for chronic diseases, the dose-response relationship between ACEs and inpatient hospital days was not significant (p-trend = 0.305), but was still significant with outpatient visits and catastrophic health expenditures.
Conclusions:Populations with more ACEs are predisposed to chronic diseases, which consequently lead to higher medical expenditures and incur greater economic burdens. It is necessary to formulate corresponding policies to provide catastrophe health services and financial risk protection for different numbers and types of chronic diseases.
Characterization of diurnal cycle of rainfall over peanut basin in Senegal
Authors: Fall Cheikh Modou Noreyni , Wane Dahirou , Dione Cheikh , Kucera Paul , Diatta Samo , Dramé Mamadou Simina , Jenkins Gregory , Badiane Daouda , Sall Saidou Moustapha , Gaye Amadou Thierno 
Published: February 2024

Abstract
The diurnal cycle and intra-seasonal variation of the rainfall amount, frequency and intensity, and durations are analysed using rainfall data from a dense network of 18 raingauges over Ndiaganiao in Thiès region in Senegal, during the 2007-2015 period. This study uses a high temporal resolution of rainfall data. Raingauge tilts are converted to precipitation rate per hour to further investigate the diurnal cycle across the study area. The results show that the mean rainfall amount and frequency peaks are observed around 18 00 GMT for the whole season, while the intensity peak occurred between 13 00 and 14 00 GMT. The rainfall intensity indicated the strongest spatial variability compared to rainfall amount and frequency. Most of the rainfall events had a short lifetime between 1 and 3 hours (up to 80\%). These short rainfall events contribute up to 75\% of the total rainfall over this region. However, the heavy rainfall are much longer with a lifetime between 4 and 5 hours. The intra-seasonal variability of the rainfall diurnal cycle indicates a strong variability between the start and end of the monsoon season. Indeed, rainfall events occur between 12 00 and 14 00 GMT during the onset phase of the West African Monsoon (WAM) in June-July. During the active phase of the WAM (August-September), rainfall amount and frequency show a similar pattern with a peak observed around 18 00 GMT. These results have important implications for the nowcasting early warning system over western Sahel and will contribute to the improvement of the parametrization of convection in the numerical weather prediction model.
Exploring the Influence of Leadership Styles on Psychological Well-being and Satisfaction in Pilates Classes
Authors: Chae Soowon , Kim Youngmi , Sim Insuk , Kim Buom 
Published: February 2024

Abstract
Background: The COVID-19 pandemic has significantly altered daily life, increasing indoor physical activities, including Pilates. This study investigates the influence of Pilates instructors' leadership styles on class satisfaction and psychological well-being, addressing the gap in research regarding the specific impact of leadership within the context of Pilates classes.
Methods: The study surveyed 388 participants from 39 Pilates studios across South Korea, utilizing a questionnaire to assess leadership styles (transformational, transactional, and servant leadership), class satisfaction, and psychological well-being. Using statistical analyses, leadership styles were assessed for their correlation with class satisfaction and psychological well-being.
Results: Findings revealed that transformational and transactional leadership styles were positively correlated with class satisfaction and psychological well-being. Specifically, transformational leadership significantly enhanced educational satisfaction and personal growth, while transactional leadership most strongly influenced social satisfaction and the sense of purpose in life. Servant leadership was notably effective in improving physical class satisfaction. The study also highlighted the critical role of class satisfaction in promoting psychological well-being among participants.
Conclusion: This research underscores the importance of leadership styles in enhancing the Pilates class experience, suggesting that instructors' leadership approaches can significantly impact participants' satisfaction and psychological well-being. The study advocates developing training programs that equip Pilates instructors with the skills to adopt effective leadership styles, fostering a more positive and fulfilling class environment.
Ring closing metathesis reaction of citronellene by utilising simple mesoporousSBA-15 loaded ruthenium alkylidene supercatalyst
Authors: Shinde Tuhsar , Jirimali Harishchandra 
Published: February 2024

Abstract
The immobilization of Hoveyda Grubbs form of metathesis catalyst (Z.C.) exhibited simple non-covalent interactions with the mesoporous SBA-15.It was discovered that the Z.C. catalyst worked well to speed up the citronellene ring closing metathesis reaction. Using cyclohexane as a solvent, the citronellene ring closing metathesis reaction was performed at various temperatures.A very low (almost negligible) catalyst leaching was observed. A high turnover number (TON) was obtained by using a very small amount of catalyst. The activation energy was calculated in the case of ring closing metathesis reaction of citronellene at different temperatures. By using the high concentration of citronellene, a high turnover number was obtained (4674), which indicates that active catalytic centers were not demolished by a large concentration of citronellene molecule. Turnover number (264) was produced when the Ru/substrate molar ratio 1:300 was used.