bluuebunny/crossref_metadata_2025_split huggingface dataset:
Role of ACE, ACE2 gene variants and serum ACE/ACE2 ratio in COVID-19 severity
Authors: Moemen Samar , Fathy Mona , Hamed Dalia , Hussein Shadia , Ashour Wafaa , Ashoush Omar , Hegazy Mona , Abdelghani Ahmad , Abdelfatah Dalia , salawy Naglaa EL 
Published: June 2023

Abstract
Background: As the outbreak of COVID-19 progresses, prognostic markers for identification of high-risk individuals are of urgent medical need. The Angiotensin system is implicated in the pathogenesis of COVID19 as ACE2 is the cellular receptor for SARS-COV-2 virus, and expression of the ACE2 gene could regulate the individual´s susceptibility to infection. In addition, the balance between ACE and ACE2 activity could play a role in the severity of COVID19.
Methods: 180 COVID-19 patients were divided into three groups (60 patients as mild, 60 patients as moderate and 60 patients as severe). Enzyme levels of ACE and ACE2 were measured by ELISA. ACE I/D (rs4646994) was assayed by PCR and ACE2 (rs2285666) gene variant was determined by Real-Time PCR.
Results: ACE/ACE2 ratio was significantly lower in mild group versus moderate to severe group (P <0.001). GG (wild) genotype and G allele of ACE2 were more frequent in mild group, AA (variant) genotype and A allele were more frequent in severe group (P value <0.001). In the multiple logistic regression, COVID-19 severity was associated with older age (>50y) (OR 10.4, 95% CI 3.8-28.4, P<0.001), Comorbidities (OR 8.2, 95% CI 1.6-42.1, P0.012) and higher ACE/ACE2 ratio (OR 8.3 95% CI 3.7-18.6 P<0.001) were independent significant predictors of severity. Haplotype analysis revealed Patients with D allele of ACE gene combined with A allele of ACE2 gene will have nearly double the risk of having severe COVID infection (OR=1.9, CI 1.1-3.5 P=0.024).
Conclusion: Old age (>50 years), presence of co‐morbidities and high ACE/ACE2 ratio are recognized as pivotal predictors for COVID-19 severity.
CSE1L is a negative regulator of the RB-DREAM pathway in p53 wild-type NSCLC and can be targeted using an HDAC1/2 inhibitor
Authors: Duan Lei , Maki Carl G. 
Published: June 2023

Abstract
p53 represses transcription by activating p21 expression and promoting formation of RB1-E2F1 and RBL1/RBL2-DREAM transcription repressor complexes. The DREAM complex is composed of DP1, RB-family proteins RBL1 or RBL2 (p107/p130), E2F4/5, and MuvB. We recently reported RBL2-DREAM contributes to improved therapy responses in p53 wild-type NSCLC cells and improved outcomes in NSCLC patients whose tumors express wild-type p53. In the current study we identified CSE1L as a novel inhibitor of the RBL2-DREAM pathway and target to activate RBL2-DREAM in NSCLC cells. CSE1L is an oncoprotein that promotes nuclear accumulation of histone deacetylases HDACs 1, 2, and 8 to repress gene transcription. Mocetinostat is a HDAC inhibitor in clinical trials with selectivity against HDACs 1 and 2. Knockdown of CSE1L in NSCLC cells or treatment with mocetinostat increased p21, activated RB1 and RBL2, repressed DREAM target genes, and induced toxicity in a manner that required wild-type p53. Lastly, we found high levels of CSE1L and specific DREAM-target genes are candidate markers to identify p53 wild-type NSCLCs most responsive to mocetinostat. Thus, we identified CSE1L as a critical negative regulator of the RB-DREAM pathway in p53 wild-type NSCLC that can be indirectly targeted with HDAC1/2 inhibitors (mocetinostat) in current clinical trials. High expression of CSE1L and DREAM target genes could serve as a biomarker to identify p53 wild-type NSCLCs most responsive to this HDAC1/2 inhibitor.
Comparison of mechanical performance of different geotextiles manufactured from natural fibers of Syagrus. coronata (Mart.) Becc, Thypha domingensis and Juncus sp subjected to natural biodegradation.
Authors: Holanda Francisco Sandro Rodrigues , Santos Luiz Diego Vidal , de Melo Jeangela Carla Rodrigues , Santos Leandro Silva , Pedrotti Alceu , Sussuchi Eliana Midori , Griza Sandro 
Published: June 2023

Abstract
The objective of this study was to evaluate the mechanical performance of geotextiles made from natural fibers of Syagrus coronata (Mart.) Becc., Thypha domingensis, and Juncus sp. The geotextiles were treated with waterproofing resin and exposed to biodegradation for 120 days to understand their stress and strain behavior. The geotextiles was treated with colorless wood waterproofing resin by Hydronorth® to make it less permeable, delay the degradation process, and consequently increase the material's resistance to climatic variables. Subsequently, the geotextiles was subjected to natural degradation on slopes covering an area of 10m². Samples of the exposed material to the degradation processes were collected every 30 days. The findings reveal that the examined fibers, following treatment with waterproofing resin, exhibit the capability for extended utilization in the field, with Thypha fiber outperforming the other tested fibers. These results hold significant potential for the incorporation of natural fibers in endeavours related to environmental conservation.
Innovative communication approaches for initializing pediatric palliative care: perspectives of family caregivers and treating specialists
Authors: Hrdlickova Lucie , Polakova Kristyna , Loucka Martin 
Published: June 2023

Abstract
Background
Effective cooperation between pediatric palliative care team (PPCT), primary treating specialists, patients and families is crucial for high quality complex care of children with life-limiting conditions. Several barriers among patients, families and treating specialists have been identified in the context of initializing pediatric palliative care. The aim of the study was to assess the experience with initial pediatric palliative care consultations from perspectives of family caregivers and treating physicians with a special focus on two innovative approaches: attendance of the treating specialist and the opportunity for parents to give feedback on the written report from the consultation.
Methods
This was a qualitative study using semi-structured interviews with family caregivers of children with malignant and non-malignant disease and their treating specialists. Framework analysis was used to guide the data collection and data analysis.
Results
In total, 12 family caregivers and 17 treating specialists were interviewed. Four main thematic categories were identified: 1) expectations, 2) content and evaluation, 3) respect and support from the team and 4) consultation outcomes. Parents viewed the consultation as unique opportunity to discuss difficult topics. They perceived the attendance of the treating specialist at the initial consultation as very important for facilitating communication. Treating specialists valued the possibility to learn about psychosocial issues of the child and the family while attending the initial palliative care consultation. All participants perceived the written report from the consultation as useful for further medical decisions. Family members appreciated the chance to give feedback on the consultation report.
Conclusions
Our study identified several clinically relevant issues that can help initialize pediatric palliative care and establish effective collaboration between families and PPCT and treating specialists. Supporting treating specialists in their ability to explain the role of palliative care is important to reduce the risk of misunderstanding or unrealistic expectations. Developing more specific expectations seems to be one of the ways to further increase the effectiveness of initial consultations. Results of the study can be especially helpful for the initial phase of implementing pediatric palliative care and initializing the process of setting up a collaborative relationship with palliative care teams in the hospital.
UBVRI night sky brightness at Kottamia Astronomical Observatory
Authors: Aboushelib Mohamed , Morcos Abd El Fady , Nawar Samir , Shalabiea Osama , Awad Zainab 
Published: June 2023

Abstract
Using a customized fully automatic photoelectric photometer, we measured the NSB in UBVRI filters at Kottamia Astronomical Observatory. The observations covered all the sky at all altitudes and azimuths with 10° steps at each. The observations were carried out on three nights of August, 1st, 2nd and 3rd 2022 and were averaged. The average zenith sky brightness is 20.49, 20.7, 19.34, 18.25 and 17.04 mag/arcsec2 in UBVRI filters respectively. The average color index is U-B = - 0.21, B-V = 1.37, V-R = 1.09 and R-I = 1.21 for the zenith. The average atmospheric extinction and sky transparency of the UBVRI filters were determined for the three nights of observations. We also included the atmospheric conditions during the observational nights.
Pyroptosis-related genes expression and nomogram predict overall survival of gastric cancer
Authors: Wang Song , Li Xing-Chuan , Zhu Jia-Rui , Ran Jun-Tao , Guan Quan-Lin 
Published: June 2023

Abstract
Background
The prognosis of gastric cancer remains poor. Pyroptosis-related genes (PRGs) have been investigated as a potential biomarker in several types of cancer, including gastric cancer. This study aimed to investigate the expression, mutation and diagnostic and prognostic value of PRGs, analyzing data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases.
Methods
RNA-sequencing data (RNA-seq), somatic datasets, and copy number variation (CNV) data for gastric cancer were also collected from the TCGA. Gene expression matrix and clinical information of GSE84437 were obtained from GEO data. Bioinformatics analysis was performed to investigate expression profiles of PRGs and their infiltration of immune cells, as well as prognostic significance in gastric cancer.
Results
A total of 22 out of 33 PRGs were up-regulated, only one PRGs was down-regulated in GC compared to normal tissues, while 10 of them showed no difference between the two groups. A total of 117 out of 433 (27.02%) gastric cancer samples demonstrated genetic mutations, missense mutation was the most common variant classification. More than half of the 33 PRGs had copy number amplification. We performed unsupervised consensus clustering based on the expression of PRGs. Two clusters associated with PRGs named cluster A and cluster B were identified in gastric cancer. Compared with cluster B, cluster A not only had worse overall survival, more patients younger than 65 years, and more deaths, but also had a lower infiltration level of T cell and greater activation B cells and mast cells. According to Gene set variation analysis, cluster A showed greater enrichment of vascular smooth muscle contraction, ECM receptor interaction and KEGG pathways of dilated cardiomyopathy. PRGs cluster B was markedly enriched in cytosolic DNA sensing, non-homologous end joining, and basal transcription KEGG pathways. Multivariate cox analyses revealed that CASP5 was the independent factor affecting the prognosis of patients with gastric cancer. The discriminative ability of the final model for overall survival was assessed using the C statistics, 0.651 for overall survival. A predictive nomogram suggested that 3-year and 5-year overall survival rates could be predicted relatively well compared to an ideal model across the entire cohort.
Conclusions
PRGs was relatively up-regulated in gastric cancer, it was associated with worse overall survival. The overall survival risk for an individual patient can be estimated using PRGs-based nomograms, which can lead to individualized therapeutic choices.
Evaluation on Coordinated Development of Population Economy and Eco- geological Environment in the twin-city economic circle of Chengdu- Chongqing region
Authors: Han Dong , Chen Liang , Huang Huan , Wu Hao , Wang Xinyuan , Xiao Yi , Du Juan , Yang Haonan , Liu Shiyu , Xu Shuangshuang 
Published: June 2023

Abstract
Using the CRITIC method, comprehensive index evaluation method, VAR model, coupling coordination model and other methods, this paper evaluates the comprehensive development of the population economy and eco-geological environment composite system in the Chengdu-Chongqing twin-city economic circle from 2000 to 2020, verifies the dynamic coupling relationship between subsystems and measures the coupling coordination degree of complex system. Meanwhile, the differences in the development process of each subsystem are discussed and the spatial-temporal evolution characteristics and laws of coupling and coordination of the three systems during the research period are analyzed. The results reveal the following: (1) There is a long-term coordinated relationship between population, economy and eco-geological environment in Chengdu-Chongqing region, which have the conditions for emergence and generation. (2) The subsystems of population, economy and eco-geological environment in Chengdu-Chongqing region show an overall upward trend, among which the Sichuan part obviously outperforms the Chongqing part. Besides, the growth rate of the economy subsystem is significantly higher than that of the population, eco-geological environment subsystem. (3) The coupling and coordinated development of the composite system has shown a benign upward development trend, gradually changing from "composite spiral structure" to "two cores outstanding, peripheral collapse, the west superior to the east", while the main coordination state has developed from "Basic synergy - Economic lag" in 2000 to "Basic synergy - Population lag" in 2022. In addition, Cheng-De-Mian and Yuzhong districts with the better level of economic development have shown "Advanced synergy - Ecological lag".
Prostate cancer genetic risk and associated aggressive disease in men of African ancestry
Authors: Soh Pamela , Mmekwa Naledi , Petersen Desiree , Gheybi Kazzem , Zyl Smit van , Jiang Jue , Patrick Sean , Campbell Raymond , Jaratlerdsiri Weerachai , Mutambirwa Shingai , Bornman Riana , Hayes Vanessa 
Published: June 2023

Abstract
African ancestry is a significant risk factor for prostate cancer and advanced disease. Yet, genetic studies have largely been conducted outside the context of Sub-Saharan Africa, identifying 278 common risk variants contributing to a multiethnic polygenic risk score, with rare variants focused on a panel of roughly 20 pathogenic genes. Based on this knowledge, we were unable to determine polygenic risk or differentiate prostate cancer status interrogating whole genome data for 113 Black South African men. To further assess for potentially functional common and rare variant associations, we interrogated 247,780 exomic variants for 798 Black South African men using a case versus control or aggressive versus non-aggressive study design. Notable genes of interest included HCP5, RFX6 and H3C1 for risk, and MKI67 and KLF5 for aggressive disease. Our study highlights the need for further inclusion across the African diaspora to establish African-relevant risk models aimed at reducing prostate cancer health disparities.
Towards Personalised Depression Modelling and Explanation from Wearable Data
Authors: Chatterjee Sobhan , Mishra Jyoti , Sundram Frederick , Roop Partha 
Published: June 2023

Abstract
Depression and anxiety are the leading causes of health loss globally, and the Covid-19 pandemic has significantly exacerbated the effect of these disorders. There is a widening gap between available resources and mental health needs globally. Digital health applications using artificial Intelligence (AI) are a promising opportunity to address this widening gap. Increasingly, passively acquired data from wearables is augmented with carefully selected active data from the participants to develop machine learning (ML) models of depression. However, these ML models are black-box in nature, and hence the outputs are not explainable. Depression is also multi-modal, and the reasons for depression may vary significantly between individuals. Explainable and personalised models will thus be beneficial to clinicians for determining the main features that lead to a decline in the mood state of a patient, thus enabling suitable personalised therapy. This is currently lacking. Therefore, this study presents the first methodology for developing personalised and accurate deep learning (DL)-based models for depression, along with novel methods for identifying the key facets that lead to the exacerbation of depressive symptoms. We illustrate our approach using an existing multi-modal dataset containing longitudinal ecological momentary assessments of depression, lifestyle data from wearables, and neurocognitive assessments for 14 mild to moderately depressed participants over one month. We train classification- and regression-based DL models to predict participants’ mood scores - a discrete score given to a participant based on the severity of their depressive symptoms. The models are trained inside eight different evolutionaryalgorithm-based optimisation schemes that optimise the model parameters for maximum predictive performance. A 5-fold cross-validation scheme is used to verify the model performance, with model error as low as 6% for some participants. We use the best model from the optimisation process to extract indicators, using SHAP, ALE and Anchors from Explainable AI literature to explain why certain predictions are made and how they affect mood. These feature insights can assist health professionals in incorporating personalised interventions into the patient’s treatment regimen.
Synthesis, characterization and application of double network hydrogels with superior ultraviolet resistance and antioxidant properties constructed from oligomeric proanthocyanidins and poly(vinyl alcohol)/sodium alginate
Authors: Song Jie , Zhang Shuyu , Du Liuping , Gao Chong , Xie Longyue , Shi Yu , Su Ling , Ma Yanli , Ren Shixue 
Published: June 2023

Abstract
A structurally dense hydrogel, with strong hydrogen bonding networks, was formed from poly(vinyl alcohol), sodium alginate, and oligomeric proanthocyanidins, using a combination of freeze-thaw cycles and calcium ion cross-linking. The structure of the hydrogel was characterized by scanning electron microscopy and Fourier transform infrared spectroscopy. Mechanical testing and thermogravimetric analysis showed that incorporation of proanthocyanidins enhanced both the mechanical properties and the thermal stability of the hydrogel. The hydrogel was also demonstrated to have excellent ultraviolet resistance and antioxidant properties. The hydrogel was further shown to produce an electrochemical response, strongly suggesting that such hydrogels could be used as an electronic skin, with exciting potential in medical and other fields.
Data-driven Analysis of Carbon Nanotube Yarn Interfacial Bonding in Extreme Environments
Authors: De Leon Ana , Vanli O. Arda , Sweat Rebekah 
Published: June 2023

Abstract
Understanding nanocomposite interfacial bonding under environmental conditions will lead to game-changing material applications in energy, aerospace, electronics, and infrastructure applications. Carbon nanotube (CNT) yarns with high-temperature toughened matrices are candidates to be used in aircraft and space components. While operating, these components are exposed to severe temperatures, which alter their performance due to changes near the interfacial area. This study investigates the interfacial shear strength of CNT yarns in multiple matrices from near-cryogenic temperatures up to temperatures above the matrix glass transition temperature. Statistical and data-driven approaches are implemented to understand and quantify the interface between inclusion and matrix. The fiber bundle pullout test is performed at a broad temperature range for fundamental studies of composite material interfaces and their bonding properties in extreme environments. Analysis showed that IFSS decreases with increasing temperature, especially at temperatures near the resin's glass transition temperature. It was shown that the work required to pull out the CNT from all polymer matrices was reduced by more than 60% between temperature extremes.
Micro milling force prediction of arc thin-walled parts considering dual flexibility coupling deformation
Authors: Yi Jie , Wang Xurui , Tian Haoyu , Zhao Shanshan , Hua Yang , Zhang Wei , Yu Fusheng , Xiang Junfeng 
Published: June 2023

Abstract
The prediction of micro milling forces in difficult-to-machine materials such as titanium alloys, which have small dimensions and arc-thin-walled features, has become a major challenge due to the coupling effect of multi-physics fields. This problem has become a key bottleneck in the development of aerospace, space, biomedical and other fields. To address this issue, this study focuses on titanium alloy arc-thin-walled parts and develops a micro milling force prediction model that considers the dual flexible coupling deformation and geometric features of arc-thin-walled parts in the process of micro milling. Firstly, a micro milling force theoretical model is established based on the instantaneous cutter position angle and the actual instantaneous uncut thickness. Secondly, detailed geometric analysis is conducted to calculate the entry and exit angles and instantaneous uncut thickness considering the characteristics of arc micro milling paths. Subsequently, the Euler beam and Timoshenko beam are assumed based on the characteristics of the cutter and workpiece structure, as well as the force situations. The unit stiffness matrix is then solved to calculate the deflection deformation value. An iterative algorithm is used to introduce the coupling deflection deformation into the micro milling force prediction model, thereby improving the instantaneous uncut thickness model. Finally, the micro milling force data is obtained through arc micro milling experiments and the coefficient of micro milling force is identified. The micro milling force is predicted using a theoretical model and its rationality and accuracy is verified through experiments. The proposed model and methodology have practical significance and provide a basis for optimizing micro milling processes and promoting the development of related fields.
An antibody blocking IL-1 receptor accessory protein reduces cardiac inflammation and preserves heart function in viral and autoimmune myocarditis
Authors: Lema Diego , Jakobsson Gabriel , Daoud Abdel , Talor Monica , Rattik Sara , Grönberg Caitríona , Kalinoski Hannah , Gyllenbäck Elin Jaensson , Liberg David , Schiopu Alexandru , Cihakova Daniela 
Published: June 2023

Abstract
IL-1, IL-33 and IL-36 have complementary pro-inflammatory roles during the immune response promoting autoimmune and inflammatory diseases, such as myocarditis. Therapeutic blockers targeting the IL-1 pathway have previously been developed. However, we hypothesized that blockade of the shared co-receptor of these three pathways, IL-1 receptor accessory protein (IL1RAP), would exhibit a more potent and broader anti-inflammatory profile. To investigate this hypothesis, we induced coxsackievirus B3 (CVB3)-mediated or experimental autoimmune myocarditis (EAM) in BALB/c mice, followed by treatment with mCAN10, an Fc-modified IL1RAP-blocking monoclonal antibody. IL1RAP blockade strongly reduced the severity of acute viral myocarditis when compared to isotype, saline or IL-1 receptor antagonist (IL1Ra) treatment (the gold standard of IL-1 receptor blockade), without affecting viral clearance from the heart. Spectral flow cytometry of heart immune populations showed that mCAN10 significantly reduced the infiltrating numbers of several populations, especially effector CD4+ and CD8+ T cells, inflammatory Ly6C+CCR2+ monocytes, neutrophils and eosinophils. Spatial gene expression revealed reduction in canonical inflammatory gene and pathway expression in the cardiac immune foci. This translated into protection from cardiac function deterioration and ejection fraction loss during viral and experimental autoimmune myocarditis. Altogether, our data show that a monoclonal antibody targeting 3 pro-inflammatory cytokine systems simultaneously, IL-1, IL-33 and IL-36, potently reduces viral and autoimmune myocarditis severity in a broad fashion not recapitulated by IL-1 blockade, and shows translational promise for development into therapeutics against cardiac inflammatory disease.