Research on Fracture Prediction Method Based on Multi-Source Information Fusion

Machine learning is a good method for predicting fracture by integrating multi-source information. Post-stack seismic attributes are commonly used to predict medium to large fractures, while pre-stack seismic attributes are proven to be more sensitive to small and micro sized fractures through forward modeling. Using machine learning algorithm to fuse information from different scales to predict fracture can greatly improve the accuracy of fracture prediction. On the basis of In-Situ stress prediction, the paper conducted post-stack seismic attribute analysis and pre-stack seismic attribute analysis, further studied on the sensitivity of seismic attributes to fracture and selected sensitive attributes, used the sensitivity log of well-bore fractures as the target log for learning, ultimately obtained a comprehensive body of fracture. Through blind well verification, the prediction results match well with the we1l data and the prediction results is highly consistent with the production data. The results of fracture prediction are reliable, and the research method has certain reference significance for fracture prediction.

PF4 and CXCL5 as potential diagnostic biomarkers and therapeutic targets for Parkinson’s disease complicated by ulcerative colitis

While accumulating evidence indicates a relationship between ulcerative colitis (UC) and Parkin-son’s disease (PD), the interactions between them have not been thoroughly examined. In this study we explored their association via genetic characterization and function-al enrichment. Assessment and validation were conducted in a novel dataset comprising whole blood RNA sequenc-ing (RNAseq) data and in three datasets retrieved from the Gene Expression Omnibus database (GSE107499, GSE75214, and GSE100054). Weighted gene co-expres-sion network analysis was used to determine the most rel-evant differentially expressed genes (DEGs) for the clin-ical features. Hub genes were identified using molecular complex detection (MCODE) application. In the training and validation datasets, we found two hub genes plate-let factor 4 (PF4) and C-X-C motif chemokine ligand 5 (CXCL5), which showed significant upregulation in all four datasets. The receiver operating characteristic curve indicated a diagnostic role for PF4 and CXCL5 in UC and PD. Therefore, PF4 and CXCL5 may provide key insights into the relationship between UC and PD.

Cloning and Bioinformatics Analysis of PsSFBB Gene in Xinjiang Pear

[ Objective] This study aimed to clone the PsSFBB gene from Xinjiang pear for bioinformatics analysis. [ Method ] PsSFBB gene was cloned from an- thers of Qipan pear by using RT-PCR and RACE technologies for bioinformatics analysis. [Result] A SFBBt-α gene with a full-length of 1 231 bp was cloned and named PsSFBB6-α （Genbank accession number： EU909685）. PsSFBBt-ct gene encodes a protein of 378 amino acids, with an F-box motif composed of about 50 amino acids in the N-temfinal. According to the bioinformatics analysis, the molecular formula of PsSFB6-α protein is C2000 H3034 N517 O558S223, with relative molecu- lar mass of 43 987.5 and isoelectric point of 6.02, and the secondary structure is dominated by or-helices ; theoretically, the half life period is 30 h and the instabil- ity parameter is 55.21, so PsSFBB6-α protein is an instable protein ; in addition, it is predicted that PsSFBB6-α protein is a hydrophilic and non-secreted protein with lyases activity and specifically recognized substrates, which was consistent with the function of F-box protein. [ Conclusion] This study laid the foundation for further research on SFBB proteins and the mechanism of self-incompatibility and provided theoretical basis for breeding of self-compatible cultivars of Xinjiang pear and scientific arrangement of pollination trees in production to increase the yield and quality.

Ureteral reconstruction with decellularized small intestinal submucosa matrix for ureteral stricture: A preliminary report of two cases

Objective:To determine the feasibility of decellularized small intestinal submu-cosa(5IS)matrix in repairing ureteral strictures.Methods:Two patients with ureteral stenoses underwent ureteral reconstruction with SIS ma-trix at the Zhejiang Provincial Corps Hospital of Chinese People's Armed Forces between June 2014 and June 2016.The ureteral stenoses were repaired with a semi-tubular SIS matrix and the postoperative recoveries were observed.Results:Both operations were successfully completed.The average operative time was 90 min and the average length of hospital stay was 15 days.No fevers,incision infections,intestinal obstruction,graft rejection,or other serious complications were noted.After 2 months,ure-teroscopic examinations showed that the surfaces of the original patches were covered by mu-Cosa and there were no apparent stenoses in the lumens.The ureteral stents were replaced every 2 months postoperatively and removed 12 months postoperatively.No infections or uri-nary leakage occurred after removal of the stents.Intravenous urography was performed 6 and 12 months postoperatively.The results showed that the ureters were not obstructed and there was no apparent stenosis at the anastomosis sites.The average follow-up time was>12 months.Long-term follow-up is still ongoing,and computed tomography examin ations of the urinary tract have been conducted in the outpatient department of our hospital 1,3,and 6 months after removal of the double-J stents,suggesting the absence of hydronephrosis.The serum creatinine levels remained stable during the follow-up.Conclusion:SIS matrix reconstruction is a feasible method to repair ureters stenosis.

Hypoxic/ischemic preconditioning attenuate PKCδ-medi-ated injury in patients and mice with cerebral infarction

Objective:cerebral ischemic/hypox-ic preconditioning(I/HPC)is an endogenous strategy in which brief periods of sublethal ischemia/hypoxia render neural tissues resistant to subsequent ischemic/hypoxic damage.This phenomenon has been found in the brain,heart,liver,intestine,muscle,kidneys,and lung.How-ever,whether HPC has a protective effect on secondary cerebral ischemic injury or protein kinase Cδ(PKCδ)within ischemic patients and animal models is still un-clear.Methods:using a hypoxic preconditioned mouse model and a middle cerebral artery occlusion mouse mod-el,combined with 2,3,5-triphenyl tetrazolium chloride(TTC)staining,SDS-polyacrylamide gel electrophoresis(SDS-PAGE),and Western blot,we observed changes in infarction size,density,edema ratio,and changes in PKCδand membrane translocation within the ischemic cortex of the middle cerebral artery occlusion(MCAO)mice.Results:HPC can attenuate neurological deficits and cerebral ischemic injuries of mice following MCAO,including decreases in infarct size,edema ratio,densities of infarct area,and neuron loss.In addition,HPC inhib-its PKCδmembrane translocation in the penumbra of the MCAO-induced ischemic cortex.We found that admin-istration of PKCδ-specific inhibitor dV1-1 mimics the neuroprotective effects of HPC,and nonisoform-specif-ic activation of PKC can partially abolish HPC-induced neuroprotection.Ischemic preconditioning decreased the levels of PKCδin the serum of patients with cerebral in-farction and reduced the cerebral nerve damage caused by ischemia.Conclusion:hypoxic/ischemic precondi-tioning attenuates PKCδ-mediated injury in patients and mice.These findings enrich our understanding of the sig-nal transduction mechanism underlying cerebral HPC and provide clues to developing medicine against ischemia/hypoxia-induced cerebral injuries.

Distinctive serotypes of SARS-related coronaviruses defined by convalescent sera from unvaccinated individuals

Multiple Omicron sub-lineages have emerged,with Omicron XBB and XBB.1.5 subvariants becoming the dominant variants globally at the time of this study.The key feature of new variants is their ability to escape humoral immunity despite the fact that there are limited genetic changes from their preceding variants.This raises the question of whether Omicron should be regarded as a separate serotype from viruses serologically clustered with the ancestral severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)virus.Here,we present cross-neutralization data based on a pseudovirus neutralization test using convalescent sera from naïve individuals who had recovered from primary infection by SARS-CoV-1 and SARS-CoV-2 strains/variants including the ancestral virus and variants Beta,Delta,Omicron BA.1,Omicron BA.2 and Omicron BA.5.The results revealed no significant cross-neutralization in any of the three-way testing for SARS-CoV-1,ancestral SARS-CoV-2 and SARS-CoV-2 Omicron subvariants.The data argue for the assignment of three distinct serotypes for the currently known human-infecting SARS-related coronaviruses.

Transcription factor YY1 is essential for iNKT cell development

Invariant natural killer T(iNKT)cells develop from CD4+CD8+double-positive(DP)thymocytes and express an invariant Vα14–Jα18 T-cell receptor(TCR)α-chain.Generation of these cells requires the prolonged survival of DP thymocytes to allow for Vα14–Jα18 gene rearrangements and strong TCR signaling to induce the expression of the iNKT lineage-specific transcription factor PLZF.Here,we report that the transcription factor Yin Yang 1(YY1)is essential for iNKT cell formation.Thymocytes lacking YY1 displayed a block in iNKT cell development at the earliest progenitor stage.YY1-deficient thymocytes underwent normal Vα14–Jα18 gene rearrangements,but exhibited impaired cell survival.Deletion of the apoptotic protein BIM failed to rescue the defect in iNKT cell generation.Chromatin immunoprecipitation and deep-sequencing experiments demonstrated that YY1 directly binds and activates the promoter of the Plzf gene.Thus,YY1 plays essential roles in iNKT cell development by coordinately regulating cell survival and PLZF expression.