bluuebunny/crossref_metadata_2025_split huggingface dataset:
Embryo Rescue and Moleclar Marker-Assisted Selection of Hybrid Seedless Grape
Authors: Wang Yong , Li Yuling , Sun Feng , Wu Guohong , Sulaiman Aizezi , Bai Shijian , Hua Zhaorong , Guo Pingfeng 
Published: December 2021

Abstract
Seedless grapes play an important role in fresh food and dry production. New varieties breeding by hybridization with seedless varieties as female parents is the most effective way to cultivate seedless varieties. However, the embryos of Seedless varieties can not develop normally, so it is difficult to obtain hybrid offspring as hybrid female parent. Moreover, grape is a perennial tree species with highly heterozygous genes, with long breeding cycle and low efficiency. In this study, embryo rescue technology was used to cultivate hybrid offspring by crossing with ‘Ruby Seedless’ as female parent and ‘Hongqitezao’ as male parent, so as to solve the problem that seedless varieties can not be female parent; and molecular technology was used to carry out assisted breeding research to solve the problems of long cycle and low efficiency. TP-M13-SSR technique was used to carry out authenticity breeding. SCAR marker SCF27-2000 was used to detect the seedless traits of hybrid plants, phenotypic traits was used to verify the results of molecular markers, and Seedless trait-related SSR markers VMC7F2, VrSD10 and P3_VvAGL11 was used to detect and verify the genotypes of individual plants with inconsistent detection results by the two methods. In this study, a total of 384 hybrid offspring were finally obtained, and the hybridization rate was 84.43%. A total of 163 fruit-bearing plants were identified, and the phenotypes of their seeds were identified. The coincidence rate of genotypic and phenotypic analyses was 93.88%. Additionally, 305 F1 plants were detected using the SCF27-2000 marker, and the abortion rate was 64.92%. We speculate that the inconsistent results were caused by parthenocarpy, SCF27 marker limitation, among other factors. Overall, this study shows that embryo rescue is an effective method for breeding seedless grape cultivars, and the application of molecular markers could facilitate the early identification of hybrid traits,and improve breeding efficiency.
A Novel Prognostic Risk Score Based on Ferroptosis-related LncRNAs Predicting Ovarian Cancer Patient Survival
Authors: Chen Keyu , Li Xiaohong , Qi Caixia 
Published: December 2021

Abstract
Background: Long non-coding RNAs (lncRNAs) are thought to be associated with several processes during cancer development and have been shown to be involved in the regulation of ferroptosis. Ovarian cancer is highly malignant tumour with a poor prognosis. The identification biomarkers with prognostic value in ovarian cancer may improve patient outcomes and can help to elucidate potential future therapeutic targets.Results: We report differential expression of 187 ferroptosis-related lncRNAs in normal and ovarian cancer tissue. Using univariate and multivariable Cox regression analysis, we identified four lncRNAs that were strongly associated with prognosis. We constructed a prognostic risk score based on these four lncRNAs which was effectively able to distinguish between low- and high-risk OC patients based on survival time. Univariate and multivariable Cox regression analyses and time-related receiver operating characteristic curve analyses revealed that this risk score represented an independent prognostic factor in patients with ovarian cancer. For clinical implementation, we developed a nomogram based on the prognostic feature and patient age. Gene Ontology(GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that the four ferroptosis-related lncRNAs were related to tumour immunity.Conclusions: we identify four novel ferroptosis-related lncRNAs as predictors of ovarian cancer prognosis and potential future therapeutic targets for ovarian cancer.
Unified Phase Field Theory Based on the Interaction of Positive and Negative Magnetic poles and Analysis of ATLAS, CMS Experiment at the LHC
Authors: wu xianjin 
Published: December 2021

Abstract
This article assumes that the elementary particle is a magnetic poles field formed by the interaction of positive and negative magnetic pole, believes that the gravity, the electromagnetic force, the strong force and the weak force are all produced by the interaction of positive and negative magnetic pole. The collision of the high-energy elementary particles appears as a strong force, and the decay of the high-energy elementary particles appears as a weak force, the cohesive force of the high-energy elementary particle magnetic pole field (the gravitational field) to its magnetic pole is the gravity, and the spin force of the high-energy elementary particle magnetic pole field in the external field (the gravitational field) is the electromagnetic force. This article discuss the high-energy proton-antiproton collision experiment based on the interaction of positive and negative magnetic pole, reveals the production mechanism of the protonium, tauium, muonium, positronium, three generation of leptons and neutrinos, and final state. This article explains unify of the strong force, weak force, electromagnetic force and gravity with unified phase field theory, and tested with the data of ATLAS and CMS experiment at the LHC. The data of ATLAS and CMS experiment at the LHC is completely consistent with the calculated data of the phase field curvature tensor equation; Differential geometric variables are covariant with physical variables; The Lagrangian function of Einstein's mass-energy equation, the Lagrangian function of Schrodinger particle differential motion wave function based on the theory of relativity, the Lagrangian density of Young-Mills gauge field equation, and the planets phase difference momentum-energy tensor of the curvature tensor equation is completely consistent in the high-energy proton-antiproton collision experiment. These fully prove that the unified phase field theory is more in line with the physical reality of the high-energy proton-antiproton collision experiment.
Transcriptome and Metabolome Analyses Reveal an Insight of Chlorophyll, Photosynthesis, Metal Ion and Phenylpropanoids Related Pathways in Sugarcane Ratoon Chlorosis
Authors: Luo Ting , Zhou Zhongfeng , Deng Yuchi , Fan Yegeng , Qiu Lihang , Chen Rongfa , Yan Haifeng , Zhou Huiwen , Wu Jianming , Chen Qi 
Published: December 2021

Abstract
BackgroundRatoon sugarcane (Saccharum officinarum) is susceptible to chlorosis, significantly reducing production. The molecular mechanism underlying this phenomenon remains unknown. We analyzed the transcriptome and metabolome of chlorotic and non-chlorotic sugarcane leaves from the same field to gain insight into the symptom. ResultsThe agronomic traits, like plant height, leaf number, stalk nod number, and tiller number, declined in chlorotic sugarcane. The chlorophyll content in chlorosis leaves was significantly lower than non-chlorotic leaves. A total of 11,776 differentially expressed genes (DEGs) were discovered in transcriptome analysis. In the KEGG enriched chlorophyll metabolism pathway, sixteen DEGs were found, eleven of which were down-regulated. Two photosynthesis pathways were also enriched, with 32 genes downregulated and four genes upregulated. Among the 81 enriched GO biological processes, there were four categories related to metal ion homeostasis and three related to metal ion transport. Approximately 400 metabolites were identified in metabolome analysis. The thirteen classified differentially expressed metabolites (DEMs) were found all down-regulated. The phenylpropanoid biosynthesis pathway was enriched in DEGs and DEMs, indicating phenylpropanoids' vital role in chlorosis. ConclusionsAccording to our study, chlorophyll production, metal ion metabolism, photosynthesis, and some secondary metabolites of the phenylpropanoid biosynthesis pathway, were considerably altered in chlorotic ratoon sugarcane. Our finding revealed the relation between chlorosis and these pathways, which would further the understanding of the mechanism of ratoon sugarcane chlorosis.
The Effect of Integrating Midwifery Counseling with A Spiritual content on Improving the Antenatal Quality of Life: A Randomized Controlled Trials
Authors: MonfaredKashki Masoumeh , Maleki Azam , Amini Kourosh 
Published: December 2021

Abstract
Background: poor pregnancy QoL is associated with adverse outcomes.Objective: To examine the effect of integrating midwifery counseling with spiritual content on improving the antenatal quality of life. Method: This randomized controlled trial was carried out on 60 first time pregnant women who were referred to two childbirth preparation centers in Zanjan city, Iran in 2019. The counseling was conducted in eight sessions. The quality of life was measured before and two months after the intervention. Data were analyzed using the chi-square test, independent t-test, paired-samples t-test, and linear regression model. The level of significance was p< 0.05.Results: After intervention based on an independent t-test the total score of QoL was significantly greater in the intervention group compared to the control group (p=0.001). after the intervention the mean score of four domains of QoL (Role-Physical, General Health, Vitality, Role-Emotional, and Mental Health) was significantly higher than the control group(p=0.001). While in terms of Physical Functioning, Bodily Pain and Social Functioning domains were not statistically significant (p>0.05).Conclusion: Integrating midwifery counseling with spiritual content had a positive impact on improving the psychological aspect of quality of life more than the physical aspect. It can be used by providers for planning childbirth package.Trial registration: The study registered at the Iranian Registry of Clinical Trials website under the code IRCT20150731023423N12, Registration date: 2018-11-06, started recruitment start date: 2018-11-11(https://en.irct.ir/user/trial/32031/view)
Application of a Custom-designed External Fixation Restorer for Pediatric Femoral Fractures
Authors: Liu Yuchang , Yuan Jia-Yu , Li Chunfang , Pei Xinjian , Li Yazhou 
Published: December 2021

Abstract
Background: Closed reduction of pediatric femoral shaft fractures is one of the most difficult types of partial fracture reductions. Open reduction increases the harm to children. Although smaller invasive open reduction is mostly used at present, it has an impact on the microenvironment around the fracture and results in increased intraoperative bleeding, an increased risk of postoperative infection and surgical scarring, which has a great psychological impact on children. Methods: Given the above challenges, we propose another intraoperative reduction method. The technique described involves closed reduction and internal fixation for pediatric femoral shaft fractures using a new type of intraoperative fixator. Result: This technique brings hope that the success rate of closed reduction for pediatric femoral shaft fractures can reach 100%. Conclution: The method is demonstrated in a patient.
CoSe2@N-Doped Graphene Nanocomposite High-Efficiency Counter Electrode For Dye-Sensitized Solar Cells
Authors: Ahamad Tansir 
Published: December 2021

Abstract
Photovoltaics is defined as a group of solar cells that convert solar energy into electricity. Among these cells, dye-sensitized solar cells (DSSCs) have received considerable attention due to of their low cost and high efficiency for energy conversion. In present study, CoSe2@N-doped graphene nanocomposite has been prepared in an inert atmosphere and used as a DSSC counter electrode. The fabricated nanocomposite was characterised using analytical techniques including FTIR, TGA, XRD, Raman, XPS, and BET. The assembled DSSC obtains a photoelectric conversion efficiency (PCE) of 7.65%, which is higher than the PCE (7.19%) of the Pt electrode assembly cell under the same conditions. The promising performance of the fabricated counter electrodes may be due to the excellent surface area of the nanocomposites, the doping of hetroatomes which provide the active sites to boost the catalytic activities towards I3- reduction.
Pre-treatment and continuous administration of simvastatin during sepsis improve metabolic parameters and prevent CNS injuries in survivor rats
Authors: Catalão Carlos Henrique Rocha , Souza Anderson de Oliveira , Santos-Júnior Nilton Nascimento , Costa Luís Henrique Angenendt da , Santos Jonathas Rodrigo dos , Alberici Luciane Carla , Rocha Maria José Alves 
Published: December 2021

Abstract

Sepsis causes overproduction of inflammatory cytokines, organ dysfunction and cognitive impairment in survivors. In addition to inflammation, metabolic changes occur according to the stage and severity of the disease. Understanding the role and place of metabolic disturbances in the pathophysiology of sepsis is essential to evaluate the framework of septic patients, predict the syndrome progress and define treatment strategies. We investigated the effect of simvastatin on the disease time course and on metabolic alterations, especially with respect to their possible consequences in the CNS of surviving rats. The animals of this study were weighed daily and followed for 10 days to determine the survival rate. In the first experiment, control or CLP-animals were randomized in 24 h, 48 h and 10 days after septic induction, for bacterial load determination and, quantification of cytokines. In the second experiment, control or CLP-animals were treated or not with simvastatin and randomized in the same three time points for cytokines quantification and assessment of their body metabolism and locomotor activity (at 48 h and 10 days), as well as the evaluation of cytoarchitecture and astrogliosis (at 10 days). The CLP-rats treated with simvastatin showed a reduction in plasma cytokines and improvement in metabolic parameters and locomotor activity, followed by minor alterations compatible with apoptosis and astrogliosis in the hippocampus and prefrontal cortex. These results suggest that the anti-inflammatory effect of simvastatin plays a crucial role in restoring energy production, maintaining a hypermetabolic state necessary for the recovery and survival of these CLP-rats.
A comprehensive cancer-associated microRNA expression profiling and proteomic analysis of human umbilical cord mesenchymal stem cell derived exosomes.
Authors: Jothimani Ganesan , Pathak Surajait , Dutta Suman , Duttaroy Asim K. , Banerjee Antara 
Published: December 2021

Abstract
Background

The mesenchymal stem cells (MSCs) have enormous therapeutic potential owing to their multi-lineage differentiation and self-renewal properties. MSCs express growth factors, cytokines, chemokines, and non-coding regulatory RNAs with immunosuppressive, anti-tumor, and migratory properties. MSCs also release several anti-cancer molecules via extracellular vesicles, that act as pro-apoptotic/tumor suppressor factors. This study aimed to identify the stem cell-derived secretome that could exhibit anti-cancer properties through molecular profiling of cargos in MSC-derived exosomes.
Methods

Human umbilical cord mesenchymal stem cells (hUCMSCs) were isolated from umbilical cord tissues and cultured expanded. After that, exosomes were isolated from the hUCMSC conditioned medium. The miRNA profiling of hUCMSCs and hUCMSC-derived exosomes was performed, followed by functional enrichment analysis.
Results

The miRNA expression profile and gene ontology (GO) depicts the differential expression patterns of high and less-expressed miRNAs that are delineated to be involved in the regulation of the apoptosis process. The LCMS/MS data and GO analysis indicate that hUCMSC secretomes are involved in several oncogenic and inflammatory signaling cascades.
Conclusion

Primary human MSCs releases miRNAs and growth factors via exosomes that are increasingly implicated in intercellular communications, and hUCMSC-exosomal miRNAs may have a critical influence in regulating cell death and apoptosis of cancer cells.
Combined triple treatment of fibrin amyloid microclots and platelet pathology in individuals with Long COVID/ Post-Acute Sequelae of COVID-19 (PASC) can resolve their persistent symptoms
Authors: Pretorius Etheresia , Venter Chantelle , Laubscher Gert Jacobus , Kotze Maritha J. , Moremi Kelebogile , Oladejo Sunday , Watson Liam R. , Rajaratnam Kanshu , Watson Bruce W. , Kell Douglas B. 
Published: December 2021

Abstract
We recognise that fibrin(ogen) amyloid microclots and platelet hyperactivation, that we have previously observed in COVID-19 and Long COVID/Post-Acute Sequelae of COVID-19 (PASC) patients, might form a suitable set of foci for the clinical treatment of the symptoms of long COVID/PASC. We first report on the comorbidities and symptoms found in a cohort of 845 South African Long COVID/PASC patients who filled in the South African Long COVID/PASC registry, of which hypertension and high cholesterol levels (dyslipidaemia) were the most important comorbidities. The gender balance (70% female) and the most commonly reported Long COVID/PASC symptoms (fatigue, brain fog, loss of concentration and forgetfulness, shortness of breath, as well as joint and muscle pains) were comparable to those reported elsewhere. This suggests that our sample was not at all atypical. Using a previously published scoring system for fibrin amyloid microclots and platelet pathology, we analysed blood samples from 70 patients, and report the presence of significant fibrin amyloid microclots and platelet pathology in all cases; these were associated with Long COVID/PASC symptoms that persisted after the recovery from acute COVID-19. A subset of 24 patients was treated with one month of dual antiplatelet therapy (DAPT) (Clopidogrel 75mg/Aspirin 75mg) once a day, as well as a direct oral anticoagulant (DOAC) (Apixiban) 5 mg twice a day. A proton pump inhibitor (PPI) pantoprazole 40 mg/day was also prescribed for gastric protection. Such a regime must only be followed under strict and qualified medical guidance to obviate any dangers, especially haemorrhagic bleeding, and of the therapy as a whole. Thromboelastography (TEG®) was used to assist in determining their clotting status. Each of the 24 treated cases reported that their main symptoms were resolved and fatigue as the main symptom was relieved, and this was also reflected in a decrease of both the fibrin amyloid microclots and platelet pathology scores. Nine patients were genotyped for genetic variation in homocysteine metabolism implicated in hypertension, a common COVID-19 co-morbidity reported in both patients found to be homozygous for the risk-associated MTHFR 677 T-allele. Fibrin amyloid microclots that block capillaries and inhibit the transport of O2 to tissues, accompanied by platelet hyperactivation, provide a ready explanation for the symptoms of Long COVID/PASC. The removal and reversal of these underlying endotheliopathies provide an important treatment option that seems to be highly efficacious, and warrants controlled clinical studies.
Inhomogeneous spatial patterns in diffusive predator-prey system with spatial memory and predator-taxis
Authors: Lv Yehu 
Published: December 2021

Abstract
In this paper, we consider a diffusive predator-prey system with spatial memory and predator-taxis. Since in this system, the memory delay appears in the diffusion term, and the diffusion term is nonlinear, the classical normal form of Hopf bifurcation in the reaction-diffusion system with delay can't be applied to this system. Thus, in this paper, we first derive an algorithm for calculating the normal form of Hopf bifurcation in this system. Then in order to illustrate the effectiveness of our newly developed algorithm, we consider the diffusive Holling-Tanner model with spatial memory and predator-taxis. The stability and Hopf bifurcation analysis of this model are investigated, and the direction and stability of Hopf bifurcation periodic solution are also researched by using our newly developed algorithm for calculating the normal form of Hopf bifurcation. At last, we carry out some numerical simulations, two stable spatially inhomogeneous periodic solutions corresponding to the mode-1 and mode-2 Hopf bifurcations are found, which verifies our theoretical analysis results.
The Effect of Levetiracetam Treatment on Survival in Patients with Glioblastoma: A Systematic Review and Meta-Analysis.
Authors: Chen Jia-Shu , Clarke Ross , Haddad Alexander F. , Wang Elaina J. , Lacroix Michel , Sarkar Indra Neil , Zand Ramin , Chen Elizabeth S. , Toms Steven A. 
Published: December 2021

Abstract
Background:Levetiracetam (LEV) is an anti-epileptic drug (AED) that sensitizes glioblastoma (GBM) to temozolomide (TMZ) chemotherapy by inhibiting O6-methylguanine-DNA methyltransferase (MGMT) expression. Adding LEV to the standard of care (SOC) for GBM may improve TMZ efficacy. This study aimed to pool the existing evidence in the literature to quantify LEV’s effect on GBM survival and characterize its safety profile to determine whether incorporating LEV into the SOC is warranted.Method:A search of CINAHL, Embase, PubMed, and Web of Science from inception to May 2021 was performed to identify relevant articles. Hazard ratios (HR), median overall survival, and adverse events were pooled using random-effect models. Meta-regression, funnel plots, and the Newcastle-Ottawa Scale were utilized to identify sources of heterogeneity, bias, and statistical influence.Results:From 20 included studies, 5804 GBM patients underwent meta-analysis, of which 1923 (33%) were treated with LEV. Administration of LEV did not significantly improve survival in the entire patient population (HR=0.89, p=0.094). Significant heterogeneity was observed during pooling of HRs (I2=75%, p<0.01). Meta-regression determined that LEV treatment effect decreased with greater rates of MGMT methylation (RC=0.03, p=0.02) and increased with greater proportions of female patients (RC=-0.05, p=0.002). Concurrent LEV with the SOC for GBM did not increase odds of adverse events relative to other AEDs.Conclusions:Levetiracetam treatment may not be effective for all GBM patients. Instead, LEV may be better suited for treating specific molecular profiles of GBM. Further studies are necessary to identify optimal GBM candidates for LEV.
Spectral-Warping Based Noise-Robust Enhanced Children ASR System
Authors: Bawa Puneet , Kadyan Virender , Kumar Vaibhav , Raghuwanshi Ghanshyam 
Published: December 2021

Abstract
In real-life applications, noise originating from different sound sources modifies the characteristics of an input signal which affects the development of an enhanced ASR system. This contamination degrades the quality and comprehension of speech variables while impacting the performance of human-machine communication systems. This paper aims to minimise noise challenges by using a robust feature extraction methodology through introduction of an optimised filtering technique. Initially, the evaluations for enhancing input signals are constructed by using state transformation matrix and minimising a mean square error based upon the linear time variance techniques of Kalman and Adaptive Wiener Filtering. Consequently, Mel-frequency cepstral coefficients (MFCC), Linear Predictive Cepstral Coefficient (LPCC), RelAtive SpecTrAl-Perceptual Linear Prediction (RASTA-PLP) and Gammatone Frequency cepstral coefficient (GFCC) based feature extraction methods have been synthesised with their comparable efficiency in order to derive the adequate characteristics of a signal. It also handle the large-scale training complexities lies among the training and testing dataset. Consequently, the acoustic mismatch and linguistic complexity of large-scale variations lies within small set of speakers have been handle by utilising the Vocal Tract Length Normalization (VTLN) based warping of the test utterances. Furthermore, the spectral warping approach has been used by time reversing the samples inside a frame and passing them into the filter network corresponding to each frame. Finally, the overall Relative Improvement (RI) of 16.13% on 5-way perturbed spectral warped based noise augmented dataset through Wiener Filtering in comparison to other systems respectively.