Chiari malformation type 1 (CM-1) is traditionally defined by tonsillar herniation, yet clinical symptoms often correlate poorly with simple linear measurements. Emerging research suggests that the geometry of the fourth ventricle may reflect deeper developmental anomalies. This study aimed to evaluate the association between fourth ventricular roof angle (FVRA) geometry and brainstem dysfunction and to determine its utility as a prognostic marker for symptomatic presentation and surgical outcomes. Following PRISMA guidelines and PROSPERO registration (CRD420261301268), a systematic search of Medline, Scopus, Web of Science, and Embase was conducted through January 2026. Studies reporting FVRA and BSD outcomes (apnea, dysphagia, cranial nerve deficits) were included. Statistical analysis was performed using the meta package in R (Version 4.1.0). A random-effects model was employed to calculate pooled Odds Ratios (OR) and 95
Glioblastoma (GBM) remains a lethal malignancy characterized by therapeutic resistance and recurrence. Emerging evidence suggests that senescent niches may shape tumor progression, support tumor stemness, and modulate immune engagement. We integrated transcriptomic data from the Glioma Longitudinal Analysis Consortium (GLASS; 118 primary and 113 recurrent IDH-wildtype GBM samples) with protein-level analysis from an independent cohort of 37 GBM patients (25 primary, 12 recurrent), including 6 matched primary-recurrent pairs. Senescence-, stemness-, and immune-related pathways were assessed using single-sample gene set enrichment analysis (ssGSEA), while immunohistochemistry quantified the expression of Lamin B1, Ki67, p53, SOX2, HLA-DRA, B2M, and CD56. Transcript-level validation was performed using matched-pair Wilcoxon testing in 101 GLASS pairs. Recurrent tumors demonstrated increased enrichment of senescence-associated transcriptional programs, including upregulated KAMMINGA_SENESCENCE and reduced TANG_SENESCENCE_TP53_TARGETS_DN scores. Lamin B1 and Ki67 protein levels were significantly lower in recurrent tumors (p = 0.004 and p = 0.016), while p53 expression increased overall (p = 0.001), suggestive of a senescence enrichment upon recurrence. In the matched analysis (6 pairs; 12 samples total), Lamin B1 and Ki67 generally trended lower at recurrence, although paired differences were not statistically significant. SOX2 expression remained broadly stable at the protein level but showed a modest decrease in RNA expression. Immune markers (HLA-DRA, B2M, CD56) exhibited minimal differences, although HLA-DRA increased significantly overall at recurrence (p = 0.025). Matched transcriptomic analysis in GLASS pairs supported recurrent-specific reductions in LMNB1, MKI67, and SOX2, with no consistent changes in TP53, HLA-DRA, B2M, or NCAM1. Recurrent IDH-wildtype GBM exhibits a transcriptional and protein expression shift towards a senescence-associated state with no concomitant changes in SOX2 and select immune markers.
Abstract Background Stent retriever (SR), contact aspiration (CA), and combined treatment are vital mechanical thrombectomy (MT) techniques for acute ischemic stroke (AIS) patients. Aim This study aimed to compare and rank these three MT strategies for AIS caused by large vessel occlusion using a Frequentist network meta-analysis (NMA). Methods A systematic review and Frequentist NMA following PRISMA guidelines were conducted. Relevant randomized controlled trials (RCTs) and observational studies were identified from electronic databases from inception to March 2025. Random effect models were used to estimate odds ratios (ORs) and mean differences with 95% confidence interval (CI). Results A total of 55 studies was included in the current NMA study. CA showed significantly higher modified thrombolysis in cerebral infarction (mTICI) 2c/3 scores at the end of the procedure (OR = 1.99, 95% CI [1.04, 3.81]), higher favorable modified Rankin Scale (mRS 0–2) at 3 months (OR = 1.28, 95% CI [1.03, 1.58]), and fewer adverse events (OR = 0.70, 95% CI [0.50, 0.98]) compared to combined approach. No significant differences among groups regarding National Institute of Health Stroke Scale, symptomatic intracerebral hemorrhage, and all-cause mortality. Conclusions The CA group demonstrated superior outcomes in mTICI 2c/3 scores, mRS 0–2 and adverse event rates. However, no significant differences were found between CA, SR, or combined approaches for other outcomes. These findings can guide clinicians in selecting appropriate thrombectomy strategies for AIS patients.
Prediction of task failures in cloud computing is of great importance due to its critical impact on task execution and resource utilization. Potential risks associated with failure events of tasks can lead to dissatisfaction among clients relying on cloud services. Therefore, it is crucial to comprehend properties and attributes of task failures to prevent them, or at least, to develop the capability to tolerate them. While there has been research conducted on failure analysis, there is a notable lack of emphasis on the application of Artificial Intelligence (AI) in characterizing and predicting task failures. This study aims to address this gap by developing a failure prediction framework capable of early identification of failed tasks and predicting the type of failure events that represent task states throughout their life cycle. We present a hybrid feature extraction and classification framework that uses SelectKBest for feature pre-selection and a GRU network as a sequence-level feature extractor. The extracted features are utilized by the GRU to train machine learning classifiers for the multi-class prediction phase including Random Forest (RF), K-Nearest Neighbor (KNN), and Support Vector Machine (SVM). The framework presents several benefits, including reducing resource wastage and Service Level Agreement (SLA) violations. The framework is evaluated based on the analysis of Google cluster traces in which the task states are Enable, Evict, Lost, Finish, Kill, Fail, Queue, Schedule, Update Pending, and Update Running. The findings show that a GRU model trained with the top 14 features achieves a test accuracy of 97.7% for feature extraction and that the combined GRU-RF yields the best predictive performance (overall RMSE=0.1415, Fail-class F1=0.99%, average AUC per class>0.98).
The present study evaluated clinically and radiographically the effectiveness of Regenerative endodontic procedures (REPs) using platelet-rich fibrin (PRF) versus induced bleeding (IB) in treating mature necrotic teeth. Fifty patients with necrotic mature teeth with periapical lesions were randomly divided into two groups, Group 1, IB (n = 25), and Group 2, PRF (n = 25). Treated teeth were assessed clinically and radiographically at 6 and 12 months. Survival rate, success rate, and clinical outcome measures were analyzed. Survival rate was 98
