Angiogenesis inhibitors effects on overall survival and progression-free survival in newly diagnosed primary glioblastoma multiforme: a meta-analysis of twelve randomized clinical trials.

Background: Glioblastoma multiforme (GBM) is the most common malignant brain tumor in adults. Typically treated with initial surgical resection, and chemoradiotherapy, despite current treatments, patients typically survive only 12-14 months, necessitating new therapeutic approaches. Our meta-analysis evaluates combining antiangiogenic medications with chemoradiotherapy versus using chemoradiotherapy alone in treating newly diagnosed GBM.

Effectiveness and Safety of the ESC-TROP (European Society of Cardiology 0h/1h Troponin Rule-Out Protocol) Trial.

Background: European guidelines recommend the use of a 0h/1h hs-cTn (high-sensitivity cardiac troponin) protocol in patients with acute chest pain. We aimed to determine the performance of this protocol in routine care when supplemented with patient history and ECG and a recommendation to refrain from noninvasive testing in low-risk patients.

Methods And Results: This was a pre- and postimplementation study with concurrent controls.

Teaching under pressure: assessing burnout among high school teachers.

Introduction: the increasing demands and responsibilities placed upon teachers are causing overwhelming stress. As a result, many teachers struggle with managing their workload effectively, which increases their susceptibility to burnout. This study aims to investigate burnout among high school teachers in Tetouan, Morocco, and explore the various contributing factors.

Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks.

An increasingly popular machine learning paradigm is to pretrain a neural network (NN) on many tasks offline, then adapt it to downstream tasks, often by re-training only the last linear layer of the network. This approach yields strong downstream performance in a variety of contexts, demonstrating that multitask pretraining leads to effective feature learning. Although several recent theoretical studies have shown that shallow NNs learn meaningful features when either (i) they are trained on a task or (ii) they are , very little is known about the closer-to-practice case of NNs trained on tasks.