bluuebunny/crossref_metadata_2025_split huggingface dataset:
Discovery of Initial SARS-CoV-2 as DNA Viruses and Reliable Interactive COVID-19 DNA Methylation Markers and Druggable Targets and Potential Malignant Diseases with Long Incubation Period
Authors: Zhang Zhengjun 
Published: April 2023

Abstract
COVID-19 research needs interactive reliable biomarkers at genomic and genetic levels. Earlier research has established the existence of reliable interactive genomic biomarkers. However, reliable DNA methylation markers haven't been identified at the epigenetic level, not to mention interactiveness. This study, from 865,859 methylation sites, discovers two miniature sets of Infinium MethylationEPIC sites, each having seven (CpG sites, genes) to interact with each other and with disease subtypes. They lead to nearly perfect (96.87-100% accuracy) prediction of COVID-19 patients from patients with other diseases or healthy controls. These CpG sites can jointly explain some post-COVID-19-related conditions. These CpG sites and the optimum performed genomic biomarkers reported in our earlier work rise to be potential druggable targets. Among these CpG sites, diseases associated with cg16785077 (gene MX1) can have an incubation period of up to six to eight years, which raises a serious (or urgent) issue to investigate now or sooner. The gene PARP9 (cg25932713) is one of the only three human genes that contain both PARP domains and macrodomains. MX1 and PARP9 together were linked to SARS-CoV-1, MERS-CoV, and SARS-CoV-2. The new findings of CpG sites cg16785077 (gene MX1) and cg25932713 (PARP9) in COVID-19 at DNA methylation levels indicate that the initial SARS-CoV-2 may be better treated as transcribed viral DNA into RNA virus due to the long incubation feature of MX1 associated diseases, i.e., not as an RNA virus that has been concerned by scientists. Such a discovery will significantly change the scientific thinking and knowledge of viruses.
Effects of heat consumption and diffusion-thermo on MHD flow of fractionalized Brinkman type fluid
Authors: Ramzan Muhammad , Nazar Mudassar 
Published: April 2023

Abstract
Free convection flow of fractionalized Brinkmantype fluid over a vertical plate is obtained. Moreover, in the modelof problem, additional effects like, diffusion thermo and magneticfield are also used. The constant Proportional Caputo (CPC)derivative is used to solve this model. The Fick's and Fourier'slaws are used for generalization of flow problem. Firstly, partialdifferential equations for energy, mass and momentum are madeOrdinary differential equations using Laplace transform method. Theimpact of parameters such as Dufour effect, magnetic parameterchemical reaction R, heat generation/absorption, Brinkman parameterare plotted and discussed through numerous graphs.
The Relationship Between Insomnia and Anxiety Among COVID-19 Patients in China: the Chain Mediating Effect of Psychological Capital and Self-esteem
Authors: Du Juan , Wu Chao , Zheng Wenkai , Gao Li , Li Ling , Liu Zhuo , Ni Chunping , Heng Chunni , Lang Hongjuan 
Published: April 2023

Abstract
Background：The outbreak of Corona Virus Disease (COVID-19) in 2019 has continued until now, posing a huge threat to the public’s physical and mental health, resulting in different degrees of mental health problems. As a vulnerable segment of the public, anxiety is one of the most common mental health problems among COVID-19 patients. Excessive anxiety aggravates the physical and psychological symptoms of COVID-19 patients, which is detrimental to their treatment and recovery, increases financial expenditure, affects family relations, and adds to the medical burden.
Objective: This study aimed to explore the role of psychological capital and self-esteem in the relationship between insomnia and anxiety, thereby shedding light on the mechanism of the effect of insomnia on anxiety in COVID-19 patients.
Methods: A cross-sectional study was conducted from April to May 2022 in Fangcang hospital in Shanghai, China. The self-administered questionnaires were distributed to 718 COVID-19 patients via cell phone using the Internet platform "Questionnaire Star", which included Athens Insomnia Scale, Psychological Capital Questionnaire, Self-esteem Scale, Self-Rating Anxiety Scale, gender, age, marital status, education. Data analysis was performed using descriptive analysis, independent-samples t-test, one-way analysis of variance, Pearson correlation analysis, ordinary least-squares regression, and bootstrap method.
Results: Education background had significant impact on anxiety in COVID-19 patients (F =7.701, P < 0.001). Insomnia, psychological capital, self-esteem and anxiety were significantly correlated, respectively (P < 0.001). And Regression analysis showed that insomnia had a direct negative predictive effect on psychological capital (β = -0.699, P < 0.001) and self-esteem (β = -0.129, P < 0.001). Psychological capital had a direct positive predictive effect on self-esteem (β = 0.116, P < 0.001). Insomnia had a direct positive predictive effect on anxiety (β = 0.611, P < 0.001). Both psychological capital and self-esteem had significant negative predictive effects on anxiety (β = -0.060, P < 0.001; β = -0.722, P < 0.001).
Conclusions: Insomnia had a significant positive predictive effect on anxiety. Insomnia was first associated with a decrease in psychological capital, followed by a sequential decrease in self-esteem, which in turn was associated with increased anxiety symptoms in COVID-19 patients.
Nanomechanical thermometry for probing sub-nW thermal transport
Authors: Oh Sangmin , Davaji Benyamin , Jameel Osama , Lal Amit , Lee Chung Hoon 
Published: April 2023

Abstract
Measuring local temperature at the micro/nanoscale requires high resolution thermometery due to the ultra low thermal transport. Among practical temperature measurement methods, the optical method has demonstrated the highest temperature resolution (∼10−5 K). We present a sub micro-Kelvin resolution thermometry (∼10−8 K with a controlled environment, ∼10−6 K with a noisy open lab environment) that uses a 20 nm thick silicon nitride (SiN) membrane. The temperature resolution of the SiN membrane device is inversely proportional to the stiffness of the membrane. Analysis and measurements of the stiffness and noise equivalent temperature (NET) of the pre-stressed SiN membrane are presented. The achievable heat output resolution of the membrane device is sub nano-Watt (< 0.5 nW) and suitable for studying thermal transport at the micro/nanoscale.
Genomic virulence features of Beauveria bassiana as a biocontrol agent for the mountain pine beetle population
Authors: Li Janet X. , Fernandez Kleinberg X. , Ritland Carol , Jancsik Sharon , Engelhardt Daniel B. , Coombe Lauren , Warren Rene L. , Belkum Marco J. , Carroll Allan L. , Vederas John C. , Bohlmann Joerg , Birol Inanc 
Published: April 2023

Abstract
Background: The mountain pine beetle, Dendroctonus ponderosae, is an irruptive bark beetle that causes extensive mortality to many pine species within the forests of western North America. Driven by climate change and wildfire suppression, a recent MPB outbreak has spread across more than 18 million hectares, including areas to the east of the Rocky Mountains that comprise populations and species of pines not previously affected. Despite its impacts, there are few tactics available to control MPB populations. Beauveria bassiana is an entomopathogenic fungus used as a biological agent in agriculture and forestry and has potential as a management tactic for the mountain pine beetle population. This work investigates the phenotypic and genomic variation between B. bassianastrains to identify optimal strains against a specific insect.
Results: Using comparative genome and transcriptome analyses of eight B. bassiana isolates, we have identified the genetic basis of virulence, which includes oosporein production. Genes unique to the more virulent strains included functions in biosynthesis of mycotoxins, membrane transporters, and transcription factors. Significant differential expression of genes related to virulence, transmembrane transport, and stress response was identified between the different strains, as well as up to nine-fold upregulation of genes involved in the biosynthesis of oosporein. Differential correlation analysis revealed transcription factors that may be involved in regulating oosporein production.
Conclusion: This study provides a foundation for the selection and/or engineering of the most effect strain of B. bassiana for the biological control of mountain pine beetle and other insect pests populations.
Analysis of a Petroleum Industry System Using Supplementary Variable and Neural Network Approach
Authors: EKATA EKATA , SINGH S B 
Published: April 2023

Abstract

Architecture of interconnected components/system networks on very large dimension increase the designing intricacy of the systems which can decrease the efficiency of system&rsquo;s performance. Petroleum is the main material of a multitude of chemicals and plays an immense role in power generation. In view of this, present article deals with the study of reliability and profitability of a model pertaining to a petroleum industry system. The proposed system fails due to hardware failure and common cause failure. All types of failures and waiting time are supposed to be exponentially distributed while repairs are generally distributed. On the other hand, feed forward back propagation (FFBP) algorithms, one of the neural network (NN) techniques, is beneficial in foretelling various parameters of reliability and improve its accuracy and uniformity. All the failures, repairs and waiting time are considered as neural weights. The gradient descent learning mechanism of FFBPNN is utilized to update the neural weights and improves the reliability and profit functions up to the desired accuracy. System&rsquo;s state probabilities, including reliability and expected profit are assessed using both supplementary variable technique (SVT) and NN methods. The Matlab code is generated to execute the FFBP algorithm for minimizing the error up to 10&ndash;4 precision and optimize the results. Numerical examples are incorporated to illustrate the study which may be helpful for system designer(s).
MSC Classification: 35A01 , 65L10 , 65L12 , 65L20 , 65L70
Mean time to failure of dams
Authors: Opyrchał Leszek , Bąk Aleksandra 
Published: April 2023

Abstract
Dams are among the largest structures constructed by human. Their disasters result in numerous casualties and large material losses. The statistical analysis of the reasons for dam disasters was carried out by the International Commission on Large Dams. The hazard function h(t) and next, the reliability function R(t) were calculated based on that data, using the fitting of the power function in the infant mortality period and a constant function in the operation period. The knowledge of the reliability function allowed for calculating the mean time to failure which was 112957 ± 12443 years. It was also demonstrated that in the operation period the annual dam failure ratio is 8.719×10− 6 ± 0.297×10− 6. It is a value that is proximate to the recommendations of the U.S. Army Corps of Engineers which suggests the tolerance for the annual dam disaster risk not to exceed 10− 6 for newly-constructed dams and 10− 4 for already existing ones.
Radiomics analysis of baseline computed tomography to predict oncological outcomes in patients treated for resectable colorectal cancer liver metastasis
Authors: Montagnon Emmanuel , Cerny Milena , Hamilton Vincent , Derennes Thomas , Ilinca André , Elforaici Mohamed , Jabbour Gilbert , Edmond Rafi , Wu Anni , Romero Francisco , Cadrin-Chênevert Alexandre , Kadoury Samuel , Turcotte Simon , Tang An 
Published: April 2023

Abstract

Predicting recurrence and survival of patients with upfront resectable colorectal cancer liver metastases (CRLM) is crucial to personalize treatment. The purpose of this work was to determine whether radiomics analysis of baseline computed tomography (CT) images could help predict outcomes of resectable CRLM compared to the clinical risk score (CRS). From a registry of 251 patients treated with systemic chemotherapy and surgery for CRLM, radiomics features extracted from baseline CT images were developed to predict time to recurrence (TTR) and disease-specific survival (DSS) and compared to low- and high-risk groups based on the CRS using Kaplan-Meier estimates and Log-rank test. CRS scores provided significant separation of low- vs. high-risk CRLM patients for TTR (p = 0.002) and DSS (p = 0.002), whereas radiomics signatures improved separation by 4–6 and 6–8 orders of magnitude for TTR and DSS (p < 0.0001), respectively. CRS alone provided median survival times for TTR of 1.67 and 1.05 years for low- and high-risk groups respectively, while radiomics yielded 2.87 and 0.92 years. Radiomics signatures outperformed the CRS for stratifying CRLM patients in low- and high-risk groups. Early prediction of patient outcome may reduce CRLM patient exposure to ineffective yet toxic chemotherapy or high-risk major hepatectomies.
A novel genetic-based residual stress and deformation prediction method for the coupled machining process of connecting rod
Authors: Zhou HongGen , Peng Zhicheng , Li GuoChao , Zhou Tao , Wu Hengheng , Sun Li 
Published: April 2023

Abstract
Residual stress is the main factor that causes the deformation of connecting rod during its coupled machining process. Thus, it is essential to predict the residual stress and deformation of the connecting rod before its machining. As the traditional independent analysis method is no longer suit to the coupled machining process, a novel genetic-based method is processed. Firstly, the genetic mechanism of residual stress field and deformation field was established to realize the effective correlation of multiple machining process simulation models. Secondly, a milling process was established based on the birth and death element method, which converts complex milling processes into dynamic loading of milling forces and the death of elements of the FEM model. It realizes the coupling of initial residual stress (IRS) and machining induced residual stress (MIRS). Then, a multi-process simulation model of heat treatment, cutting off, and milling of connecting rod is established, which can reveal the evolution law of residual stress field under multi-process coupling of connecting rod, the coupling mechanism between IRS and MIRS, and the deformation response law of big hole cylinder of connecting rod. The proposed method will have great significance to the deformation control of connecting rod.
Social-economic impacts of rewilding: the case of the pinniped population boom on California coast
Authors: Levrel Harold 
Published: April 2023

Abstract
This paper explores the dynamics of change and reorganization of coastal California socioecosystems over the past 30 years in response to regional population increases of two pinniped species: the California sea lion Zalophus californianus and the harbour seal Phoca vitulina. The work presented focuses on four very different types of socio-ecosystems - urban beaches, harbours, a river, the coastal marine ecosystem (continental shelf). The dynamics of rewilding led to the questioning of the management of these spaces by certain local stakeholders who saw their uses threatened, generating a strong judicialisation of the relationship between humans and non-humans. This paper presents the solutions, mainly technical, that have been tested to deal with this dynamic, with no obvious effectiveness due to the adaptability of pinnipeds and the impossibility of harassing federally protected species.
Association of coronary plaque morphology with inflammatory biomarkers and target lesion revascularization in patients with chronic coronary syndrome: An optical coherence tomography study
Authors: Saiin Kohei , Konishi Takao , Kazui Sho , Yasui Yutaro , Takahashi Yuki , Naito Seiichiro , Takenaka Sakae , Mizuguchi Yoshifumi , Tada Atsushi , Kobayashi Yuta , Kato Yoshiya , Omote Kazunori , Sato Takuma , Kamiya Kiwamu , Nagai Toshiyuki , Tanaka Shinya , Anzai Toshihisa 
Published: April 2023

Abstract
Background: The characteristics of high-risk coronary atherosclerosis evaluated using optical coherence tomography can have a prognostic role. Inflammatory biomarkers may be related to the severity of coronary artery disease. This study investigated the association of high-risk morphological features of coronary plaques on optical coherence tomography with circulating levels of inflammatory biomarkers and adverse cardiovascular events.
Methods: We prospectively analyzed the data of 30 consecutive patients with chronic coronary syndrome who underwent percutaneous coronary intervention using optical coherence tomography between April 2020 and November 2020 at our university hospital. Estimation of inflammatory biomarker levels and optical coherence tomography analysis focused on high-risk coronary plaque features were performed. Based on the coronary plaque risk score, patients were defined as having a low coronary plaque risk score (coronary plaque risk score≤3) or high coronary plaque risk score (coronary plaque risk score≥4). The primary outcome was target lesion revascularization.
Results: Targetlesion revascularization was achieved in 6 (20%) patients within 15 months of percutaneous coronary intervention. High coronary plaque risk score on optical coherence tomography was directly correlated with target lesion revascularization (P=0.029). In logistic regression analysis, coronary plaque risk score was associated with target lesion revascularization (odds ratio, 10.0; 95% confidence interval, 1.34–74.5). Serum monocyte chemoattractant protein-1 level was significantly correlated with the coronary plaque risk score (P=0.020).
Conclusions: In patients with chronic coronary syndrome, coronary plaque risk score may be a surrogate predictor of target lesion revascularization. Serum monocyte chemoattractant protein-1 may aid detection of high-risk coronary atherosclerosis.
Identification of Model Based on Oxidative Stress-related Genes for Predicting Prognosis and Therapeutic Features in Bladder Cancer
Authors: Huang Jianxu , Luo Weihan , Li Yuqing , Li Yingrui , Wang Yongqiang , Wu Song 
Published: April 2023

Abstract
Background: Bladder cancer is one of the most common malignant tumors, presenting as a heterogenous entity that requires a severe stratified strategy to enhance clinical decision-making and patient counseling. Multiple studies have investigated the relationship between oxidative stress and tumor progression, highlighting its potential role in cancer pathogenesis. Herein, our study aimed to establish a prognostic model based on the oxidative stress-related gene for risk stratification in bladder cancer.
Methods: Differentially expressed oxidative stress genes (oxidative stress DEGs) were identified using microarray and clinical data from the GEO database. Functional enrichment and survival analyses were performed in screened oxidative stress DEGs. A risk score model was constructed, and its diagnostic value and relationship with the prognosis as well as its sensitivity to chemotherapy and immunotherapy were verified through Cox regression, receiver operating characteristic curve and drug sensitivity analysis. The TCGA-BLCA cohort was set as the training cohort, GSE13507 and GSE32894 were used for external validation. A nomogram was constructed to facilitate the clinical application.
Results: The risk score model demonstrated a significant difference in overall survival between the high- and low-risk groups. The area under the curve and hazard ratio revealed the independent prognostic value of the model. There are differences in the sensitivity of chemotherapy and immunotherapy between the high- and low-risk groups.
Conclusions: Our findings provide a new prognostic model that can serve as a reliable reference for the prognosis and personalized therapy of patients with bladder cancer.
Left Knee Septic Monoarthritis in a Pediatric Patient due to Shewanella Putrefaciens: Case Report in Colombia
Authors: Madrid Nathalie Yepes , Mejia Luis Fernando , Urrego José Fernando Gomez 
Published: April 2023

Abstract
Shewanella putrefaciens is a Gram-negative bacillus and marine pathogen that rarely causes disease in humans. We present the case of a previously healthy pediatric patient with a sharp wound and septic monoarthritis of the left knee due to Shewanella putrefaciens, we describe the bacteriological, and clinical characteristics and antibiogram of this bacteria spp since resistance patterns must be taken into account when managing patients, so as not to induce intrinsic antimicrobial resistance.
Genome-wide identification of GH9 gene family and the assessment of its role during fruit abscission zone formation in Vaccinium ashei
Authors: Zheng Weiwei , Wang Yingying , Xu Yue , Liao Fangfang , Li Ting , Li Xiaolong , Wu Boping , Hong Seung-Beom , Xu Kai , Zang Yunxiang 
Published: April 2023

Abstract
Glycosyl hydrolase family 9 (GH9) cellulases play a crucial role in both cellulose synthesis and hydrolysis during plant growth and development. Despite this importance, there is currently no study on the involvement of GH9-encoding genes, specifically VaGH9s, in abscission zone formation of rabbiteye blueberries (Vaccinium ashei). In this study, we identified a total of 61 VaGH9s in the genome, which can be classified into three subclasses based on conserved motifs and domains, gene structures, and phylogenetic analyses. Our synteny analysis revealed that VaGH9s are more closely related to the GH9s of Populus L. than to those of Arabidopsis, Vitis vinifera, and Citrus sinensis. In-silico structural analysis predicted that most of VaGH9s are hydrophilic, and localized in cell membrane and/or cell wall, and the variable sets of cis-acting regulatory elements and functional diversity with four categories of stress response, hormone regulation, growth and development, and transcription factor-related elements are present in the promoter sequence of VaGH9s genes. Transcriptomic analysis showed that there were 22 differentially expressed VaGH9s in fruit abscission zone tissue at the veraison stage, and the expression of VaGH9B2 and VaGH9C10 was continuously increased during fruit maturation, which were in parallel with the increasing levels of cellulase activity and oxidative stress indicators, suggesting that they are involved in the separation stage of fruit abscission in Vaccinium ashei. Our work identified 22 VaGH9s potentially involved in different stages of fruit abscission and would aid further investigation into the molecular regulation of abscission in rabbiteye blueberries fruit.