bluuebunny/crossref_metadata_2025_split huggingface dataset:
Access to genetic diversity in cultivated forage pea (Pisum sativum var. arvense L. ) genotypes through ssr markers
Authors: Ertuş Mehmet Macit , Bezirganoğlu İsmail , Yazıcılar Büşra 
Published: January 2023

Abstract
Background
Forage pea (Pisum sativum var. arvense L.) is an important legume species with high nutritional value used in animal feed nutrition around the world. Forage pea have been grown for animal feeding in the high altitude of the Eastern Anatolia Region for a long time. However, commercial varieties of forage peas are replacing local varieties, especially due to easier seed availability. Therefore, it is aimed in this study is determine of genetic diversity and genome size variation of some forage pea commercial and landraces populations by SSR markers.
Methods and results
This study was carried out in 2021 with 18 populations in cultivated in Turkey. The 11 SSR markers successfully produced total 66 polymorphic bands by percentage of 89,2% for 18 forage pea (Pisum sativum var. arvense L.) populations. The markers produced a total of 66 alleles. These polymorphic alleles were ranged from 3 to 11 with average of 6.
Conclusions
Genetic diversity dendrogram was created forage pea cultivars populations. Generally, seven commercial cultivars and eleven populations of forage pea seperated each other as two main groups. As a result of the study, genetic differences were found between pea varieties, and it was concluded that local varieties should be evaluated in breeding programs.
Ascent Plunge Methods for Seclusion Preserving
Authors: T Arumuga Maria Devi , Sivakumar S 
Published: January 2023

Abstract
The two or more gatherings in possession of private information desire to disclose just the information necessary for collection to a third party. Ascent and descent aim to reduce an objective role so as to grasp only a small minimum. a preliminary implementation of data retirement and conservation with ascension plunge. This essay discusses several malware programmes and how to protect yourself from them. The two techniques, variational approach and least conservative approach, are introduced in the proposed work. The two methods are suggested for safely erecting blocks for both data that is parcelled vertically and that is dispersed on a level plane. As a result, no single festival owns the entirety of the data thanks to an equitable distribution of data or a vertical route.. The existing system that works on horizontally and vertically divided data including two or more gatherings. The secure matrix multiplication is utilized for the calculation for linear regression and arrangement for acting the operation securely. The straight relapse strategy is the one of the most mind-blowing technique for finding the informational collection of client without getting to the confidential information.
The complete genome sequence of andraeanum bacilliform virus, a novel badnavirus encoding the polyprotein through two open reading frames
Authors: Zhou Siqi , Zhou Xiaoyun , He Yiwen , Zhou Guohui , Yang Xin 
Published: January 2023

Abstract
A novel badnavirus, tentatively named as "andraeanum bacilliform virus" (AnBV), was identified in Anthurium andraeanum plants displaying leaf deformation and darkening. The viral complete genome sequence was determined by high-throughput and PCR sequencing. Similar to those of other Badnavirus, the genome of AnBV consists of a circular DNA molecule of 7212 bp with six open reading frames (ORFs) potentially coding for six proteins. Interestingly, ORF3 is split into two parts with a 55-nt intergenic region between them. Similar genome structure was reported in sweet potato pakakuy virus (SPPV) and jujube mosaic-associated virus (JuMaV). Pairwise comparisons of the highly conserved RT/RNase H region revealed the highest amino acid sequence identity (78.6%) to Dioscorea bacilliform AL virus 2 (DBALV-2). Phylogenetic analysis revealed that AnBV and DBALV-2 form a separate clade within the genus Badnavirus, suggesting that AnBV is a novel badnavirus infecting Anthurium andraeanum.
A cuproptosis-related long non-coding RNA risk coefficient model to predict outcomes and therapeutic responses in papillary renal cell carcinoma
Authors: Tang Cheng , Yang Guang , Huang WenLin , Chen Dan , Qu GenYi , Xu Yong 
Published: January 2023

Abstract
Background
Papillary renal cell carcinoma (pRCC) is the second most common subtype of renal cell carcinoma, second only to clear cell renal cell carcinoma (ccRCC). Compared with ccRCC, metastatic pRCC has worse outcomes. Copper is an essential micronutrient; its accumulation is related to cancer proliferation, growth, angiogenesis, and metastasis. The abnormal expression of long non-coding RNA (lncRNA) plays an essential role in developing pRCC. Our study aimed to predict outcomes in pRCC patients using a prognostic risk coefficient model for cuproptosis-related lncRNAs.
Methods
We obtained data from pRCC patients and cuproptosis-related genes from The Cancer Genome Atlas and the literature. Cuproptosis-related lncRNAs were obtained using co-expression analysis based on R language software. The prognostic risk model of cuproptosis-related pRCC was established using univariate and multivariate Cox regressions and LASSO regression analysis, and the model was validated. The high- and low-risk groups were divided by the median value of the risk coefficient. Finally, we performed correlation analysis and potential drug identification for high- and low-risk subgroups.
Results
Seven cuproptosis-related lncRNAs were included (AC019080.5, AC092807.3, AC107464.2, AL5941845.1, GCC2-AS1, NINJ2-AS1, and ZNF710-AS1). Riskscore and tumor stage were independent prognostic factors in pRCC. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway functional enrichment analysis showed that differentially expressed genes in pRCC cuproptosis-related lncRNAs were associated with the pathways of collagen-containing extracellular matrix formation and intracellular and extracellular structure formation. Correlation analysis of immune function showed that type II interferon responses, immune checkpoints, co-inhibition of T cells, cytolysis, co-inhibition of antigen-presenting cells, and human leukocyte antigen were significantly different between high- and low-risk groups. Higher Tumor Immune Dysfunction and Exclusion scores were observed in the low-risk group in the immune escape association analysis, illustrating the suboptimal effect of immunotherapy in low-risk patients. We identified 5-fluorouracil, epothilone B, gemcitabine, paclitaxel, pazopanib, and sunitinib as potentially more beneficial in the high-risk group; bortezomib, erlotinib, and sorafenib were more beneficial in the low-risk group.
Conclusion
We identified seven cuproptosis-related lncRNAs associated with pRCC outcomes and constructed a prognostic model that provides a basis for basic research and pRCC precision treatment.
Fragment expansion with NUDELs - poised DNA-encoded libraries
Authors: Salvini Catherine , Darlot Benoit , Davison Jack , Martin Mathew , Tudhope Susan , Turberville Shannon , Kawamura Akane , Noble Martin , Wedge Steve , Crawford James , Waring Michael 
Published: January 2023

Abstract
Optimisation of the affinity of lead compounds is a critical challenge in the identification of drug candidates and chemical probes. Fragment-based drug discovery has become established as one of the methods of choice for drug discovery starting with small, low affinity compounds. Due to their low affinity, evolution of fragments to desirable levels of affinity is often a key challenge. The accepted best method for increasing the potency of fragments is by iterative fragment growing, which can be very time consuming. Here, we introduce a paradigm for fragment optimisation using poised DNA-encoded chemical libraries (DELs). The synthesis of a poised DEL allows the coupling of any active fragment for a target protein, allowing rapid discovery of potent ligands. This is illustrated for bromodomain-containing protein 4 (BRD4), in which a weakly binding fragment was coupled to a 42-member poised DEL via Suzuki-Miyaura cross coupling resulting in the identification of an inhibitor with nanomolar affinity in a single step. The potency of the compound was shown to arise from the synergistic combination of substructures, which would have been very difficult to discover by any other method and was rationalised by X-ray crystallography. The compound showed attractive lead-like properties suitable for further optimisation and demonstrated BRD4-dependent cellular pharmacology. This work demonstrates the power of poised DELs to rapidly optimise fragments, representing an attractive generic approach to drug discovery.
Association of SARS-CoV-2 status and antimicrobial-resistant bacteria with inadequate empiric therapy in hospitalized patients: a US multicenter cohort evaluation (July 2019 - October 2021)
Authors: Bauer Karri A. , Puzniak Laura A. , Yu Kalvin C. , Klinker Kenneth P. , Watts Janet A. , Moise Pamela A. , Finelli Lyn , Gupta Vikas 
Published: January 2023

Abstract
Background: Antibiotic usage and antimicrobial resistance (AMR) patterns changed during the COVID-19 pandemic. Inadequate empiric antibiotic therapy (IET) is a significant public health problem and contributes to AMR. We evaluated factors associated with IET before and during the COVID-19 pandemic to determine the impact of the pandemic on antibiotic management.
Methods: This multicenter, retrospective cohort analysis included hospitalized US adults who had a positive bacterial culture (specified gram-positive or gram-negative bacteria) from July 2019 to October 2021 in the BD Insights Research Database. IET was defined as antibacterial therapy within 48 hours that was not active against the pathogen. AMR results were based on facility reports. Multivariate analysis was used to identify risk factors associated with IET in patients with any positive bacterial culture and AMR-positive cultures, including multidrug-resistant (MDR) pathogens.
Results:Of 278,344 eligible patients in 269 hospitals, 56,733 (20.4%) received IET; rates were higher in patients with AMR-positive (n=93,252) or MDR-positive (n=39,000) cultures (34.9% and 45.0%, respectively). Severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2)-positive patients had significantly higher rates of IET (25.9%) compared with SARS-CoV-2-negative (20.3%) or not tested (19.7%) patients overall and in the AMR and MDR subgroups. Patients with AMR- or MDR-positive cultures had more days of therapy and longer lengths of stay. In multivariate analyses, AMR, MDR, SARS-CoV-2-positive status, respiratory source, and prior admissions were identified as key IET risk factors.
Conclusions: IET remained a persistent problem during the COVID-19 pandemic and occurred at higher rates in patients with AMR/MDR bacteria or a co-SARS-CoV-2 infection.
Selection history affects very early expression of wood properties in Pinus radiata
Authors: Apiolaza Luis Alejandro , Sharma Monika 
Published: January 2023

Abstract
Trees in breeding programmes are often selected at 1/4-1/3 of rotation, called "early selection", which is typically between 8 and 10 years in radiata pine. However, differences between populations and genotypes selected for either basic density or wood stiffness are already apparent at age 2.
We report the application of very early screening techniques for wood properties in the New Zealand Radiata Pine Breeding Programme deployment populations. Approximately 3,000 trees representing three populations with 92 families and 10 clones were grown in a common garden trial, leaning for 21 months to separate compression and opposite wood. The trees were harvested and analysis carried outseparately by wood type.
The trial showed the existence of large variability in wood properties at early age, in some cases similar to variability near rotation age, and moderate to high degree of genetic control (0.35 <= h2 <= 0.71). The genetic association between traits was strong, particularly between wood stiffness and longitudinal shrinkage (-0.69) and between longitudinal and volumetric shrinkage (0.83), suggesting that improving stiffness would also have a strong effect on improving dimensional stability. Basic density was also associated to stiffness and shrinkage, but with lower predictive capacity.
These results can be used for roguing deployment populations—which already contain superior growing trees—and quickly upgrade the wood quality of seeds and clones currently available to New Zealand forest growers. We discuss necessary modifications to turn this research work into operations to screen any new material before commercial release.
Machine Learning-based Analytics of the Impact of the Covid-19 Pandemic on Alcohol Consumption Habit Changes Among United States Healthcare Workers
Authors: Rezapour Mostafa , Niazi Muhammad Khalid Khan , Gurcan Metin Nafi 
Published: January 2023

Abstract
The COVID-19 pandemic is a global health concern that has spread around the globe. Machine Learning (ML) is promising in the fight against the COVID-19 pandemic. Machine learning and artificial intelligence have been employed by various healthcare providers, scientists, and clinicians in medical industries in the fight against COVID-19 disease. In this paper, we discuss the impact of the Covid-19 pandemic on alcohol consumption habit changes among healthcare workers in the United States during the first wave of the Covid-19 pandemic. We utilize multiple supervised and unsupervised machine learning methods and models such as decision trees, logistic regression, support vector machines, multilayer perceptron, XGBoost, CatBoost, LightGBM, AdaBoost, Chi-Squared Test, mutual information, KModes clustering and the synthetic minority oversampling technique (SMOTE) on a mental health survey data obtained from the University of Michigan Inter-University Consortium for Political and Social Research to investigate the links between COVID-19-related deleterious effects and changes in alcohol consumption habits among healthcare workers. Through the interpretation of the supervised and unsupervised methods, we have concluded that healthcare workers whose children stayed home during the first wave in the US consumed more alcohol. We also found that the work schedule changes due to the Covid-19 pandemic led to a change in alcohol use habits. Changes in food consumption, age, gender, geographical characteristics, changes in sleep habits, the amount of news consumption, and screen time are also important predictors of an increase in alcohol use among healthcare workers in the United States.
Seismic velocity structure of the crust and the upper mantle beneath the island of Crete, Greece
Authors: Karakonstantis Andreas , Vallianatos Filippos 
Published: January 2023

Abstract
Crete is located in the Southern Aegean, in the southernmost part of the Hellenic Trench. Given the elevated numbers of seismicity in the region generated by the convergence of the Eurasian and African tectonic plates, the research area is critical. More than 1400 manually revised events from 2018 to 2022 have been used in this work to construct both local and regional 1-D velocity models. These data were entered into Passive Seismic Tomography, which is using body-wave (P and S) travel-time data to analyze medium to large-scale (in km) anomalies linked to local neotectonic and regional tectonic processes. A complex shallow structure was revealed in Crete's central region, in contrast to a smoother and more continuous image at deeper slices (> 40km). This result was likely due to result of the subducted lithosphere triggering an upward migration of fluids. The final dataset analysis contributed to a better understanding of the research area's prevailing seismotectonic processes and the relationship between shallow and intermediate-depth earthquake activity.
NXP032 ameliorates cognitive impairment by alleviating of neurovascular aging process in aged mice brain
Authors: Lee Jae-Min , Kim So Hee , Sim Tae Hyeok , Lee Joo Hee , Kim Youn-Jung 
Published: January 2023

Abstract
Vascular aging is well known to be associated with breakdown of the neurovascular unit (NVU) that is essential for maintaining brain homeostasis and has been linked to higher cognitive dysfunction. Oxidative stress is believed to be a major cause of the vascular aging process, and damages cerebral parenchymal cells in aged brain. Vitamin C is easily oxidized under human physiologic conditions and loses its potent antioxidant activity. To overcome this limitation, we have developed a DNA aptamer that enhances function of vitamin C; NXP032 is binding form of Aptamer and vitamin C. We investigated microvascular damage, blood-brain barrier (BBB) disruption, glial activation, and cognitive function in 20-month-old mice to confirm the protective effect of NXP032 on vascular aging. NXP032 was treated orally for 8 weeks every day. In this study, we found that aged mice showed obvious cognitive impairment through Y-maze and passive avoidance tests. The microvascular damage was manifested through the decreased length of PECAM-1, lectin. BBB disruption was confirmed through the expression of PDGFR-β, ZO-1 and laminin. Aged mice also showed activation of microglia and astrocytes in the motor cortex and hippocampal CA1 region. These changes were significantly alleviated after the NXP032 treatment in aged mice. Based on the results, we suggest that the NXP032 reduces vascular aging which may be a novel intervention for aging-induced cognitive impairment.
Development and validation of a nomogram to predict refractory Mycoplasma pneumoniae pneumonia
Authors: Shen WenNa , Sun XinRong 
Published: January 2023

Abstract
Background: This study aims to construct a risk prediction model based on clinical manifestations, laboratory blood indicators and radiological fndings to help clinicians identify patients who are at high risk of refractory mycoplasma pneumoniae pneumonia.
Materials and methods: We retrospectively analyzed the medical records of 369 children with MPP.The data collected included demographics, clinical data ,laboratory findings and imaging data. Descriptive statistical analysis, involving numerous variables, was followed by univariate and multivariate logistic regression analysis.Subsequently,the clinical prediction model was constructed and underwent internal validation.
Results: The clinical prediction model was constructed from these eight variables included fever duration,Pleural effussion,WBC,NEP,CRP, LDH,NLR and SUA.The developed nomogram, which has a satisfactory level of accuracy and good calibration, can be utilized to predict RMPP patients.
Conclusion: Fever duration more than 10.5 days,Pleural effussion,WBC＞10.13×109/L,NEP＞6.43×109/L,CRP＞29.45mg/L,LDH＞370.50U/L,NLR＞3.47 and SUA＜170.5 umol/ml was early predictive model of RMPP.The developed nomogram, which has a satisfactory level of accuracy and good calibration, can be utilized to predict RMPP patients.
Research progress on mechanisms and predictive biomarkers for immune-related adverse events
Authors: Zhang Yan , Qu Ziting , Zhang Tengteng , Zhao Zhiyan , Zhang Yiyin , Gu Kangsheng 
Published: January 2023

Abstract
In recent years, immune checkpoint inhibitors (ICIs) have been widely used in patients with malignant tumors. While ICIs significantly improve the prognosis of cancer patients, immune-related adverse events (irAEs) also occur. It is currently believed that the occurrence of irAEs correlates with alterations in the body's autoimmune system function, including over-activation of the immune system and breakdown of autoimmune tolerance. The mechanisms involve direct activation of T cells, secondary B-cell defects or autoantibodies production, ectopic antigen or antigenic epitope spread, and genetic susceptibility. Understanding the mechanisms of these toxic reactions and clearing predictive biomarkers will limit their occurrence, improving the prognosis of cancer patients treated with ICIs and giving early intervention to reduce the risk and damage associated with their occurrence. This review will systematically list possible mechanisms for the occurrence of irAEs and promising predictive biomarkers, and summarize approaches for early intervention and treatment, suggesting possible future directions for follow-up research and clinical applications of irAEs.
Association of Inflammatory Cells to High-density Lipoprotein Cholesterol ratio with Acute Pulmonary Embolism
Authors: Li zhaoji , Zhang Ruifeng 
Published: January 2023

AbstractPurpose Aim of this study was to investigate the effectiveness of neutrophil, monocyte and lymphocyte to HDL- cholesterol ratio in people diagnosed with acute pulmonary embolism for predict pulmonary embolism related adverse clinical events (PEACE). Methods Retrospective collected the date of total 215 patients diagnosed with pulmonary embolism. Laboratory results of leukocyte, biochemical and cardiac markers were collected. Pulmonary Embolism Severity Index (PESI), ratio of neutrophil, monocyte and lymphocyte count to high-density lipoprotein cholesterol (HDL) were calculated. SPSS 25 was used for evaluating the effectiveness of NHR MHR and LHR in predicting PEACE. Results Patients who suffered clinical adverse events had higher MHR and NHR value and lower LHR value. In multivariate regression analysis, PESI scores (OR: 1.041 95% CI: 1.024 ~ 1.059, p < 0.01), MHR value (OR: 1.053 95% CI: 3.25–52.64, p < 0.01), NHR value (OR: 1.332 95% CI: 1.020 ~ 1.740, P = 0.035), and N-terminal pro-brain natriuretic peptide (OR: 1.203 95% CI: 1.036 ~ 1.397, P = 0.015) were independent predictors of PEACE. Conclusion We think that MHR and NHR value can be used as useful indicators to identify early clinical adverse events in patients with acute pulmonary embolism
Relationship between Lipoprotein(a) and Lung Function assessed in Community-Dwelling Older Adults: Longitudinal and Cross-Sectional Analyses
Authors: Song Chae Kyung , Keller Theresa , Regitz-Zagrosek Vera , Steinhagen-Thiessen Elisabeth , Buchmann Nikolaus , Demuth Ilja 
Published: January 2023

Abstract
Background: Lipoprotein(a) [Lp(a)] has recently been gaining increasing interest, with numerous studies pointing to a causal relationship with cardiovascular disease, coronary heart disease, as well as aortic valve stenosis. However, so far only a few studies have assessed the association between Lp(a) and pulmonary health and there have been some inconsistent findings regarding this topic. This study’s aim is to examine whether high level of serum Lp(a) is associated with better lung function in a dataset of relatively healthy older women and men in a sex-specific manner.
Methods: We used the longitudinal data collected at two time points 7.4 ±1.5 years apart from 679 participants (52% females, 68 [65-71] years old) in the Berlin Aging Study II (BASE-II). Several lipid parameters, including Lp(a), and lung function were measured in these subjects as part of a comprehensive medical assessment. The baseline dataset was collected between 2009 to 2014, and the follow-up data were collected between 2018 and 2020. Multiple linear regression models adjusting for covariates (BMI, physical inactivity, smoking status, alcohol intake, and a morbidity index) were applied to strengthen evidence for the relationship observed between Lp(a) and lung function in a sex-specific manner.
Results: Forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) were higher in men and declined with age in both sexes. Men had lower Lp(a) levels than women. Average lung function measurements were higher in both men and women with higher Lp(a) levels. However, this association was statistically apparent in men only.
Conclusions: The data suggest that Lp(a) might act as a protective and possibly sex specific factor in pulmonary health, a putative role which has not been anticipated so far. Future studies will be required to further establish the relationship between Lp(a) and lung function also with regard to possible causality and sex differences, as well as to further investigate the exact function Lp(a) plays in lung physiology.