Analysis of Autonomous Penetration Testing Through Reinforcement Learning and Recommender Systems.

Conducting penetration testing (pentesting) in cybersecurity is a crucial turning point for identifying vulnerabilities within the framework of Information Technology (IT), where real malicious offensive behavior is simulated to identify potential weaknesses and strengthen preventive controls. Given the complexity of the tests, time constraints, and the specialized level of expertise required for pentesting, analysis and exploitation tools are commonly used. Although useful, these tools often introduce uncertainty in findings, resulting in high rates of false positives.

Exploring Quantitative MRI Biomarkers of Head and Neck Post-Radiation Lymphedema and Fibrosis: Post Hoc Analysis of a Prospective Trial.

Background: Quantifying head and neck lymphedema and fibrosis (HN-LEF) is crucial in the investigation and management of treatment sequelae in head and neck cancer (HNC).

Methods: The T1- and T2-weighted MRI signal intensity (SI) was examined in relation to HN-LEF categories per physical/tactile examination (No-LEF, A-B = edema, C = edema + fibrosis, D = fibrosis), and MRI structural volumes were examined in relation to a novel 10-point HN-LEF score in the intraoral and submental regions.

Results: We identified differences in ranks among HN-LEF categories in relation to the MRI SI (A-B and C are higher than D and No-LEF for T2 SI, and A-B is the highest for T1).

The TRIPOD-LLM reporting guideline for studies using large language models.

Large language models (LLMs) are rapidly being adopted in healthcare, necessitating standardized reporting guidelines. We present transparent reporting of a multivariable model for individual prognosis or diagnosis (TRIPOD)-LLM, an extension of the TRIPOD + artificial intelligence statement, addressing the unique challenges of LLMs in biomedical applications. TRIPOD-LLM provides a comprehensive checklist of 19 main items and 50 subitems, covering key aspects from title to discussion.

Angiogenic factors versus fetomaternal Doppler for fetal growth restriction at term: an open-label, randomized controlled trial.

Small fetuses, with estimated fetal weight (EFW) below the tenth percentile, are classified as fetal growth restriction (FGR) or small for gestational age (SGA) based on prenatal ultrasound. FGR fetuses have a greater risk of stillbirth and perinatal complications and may benefit from serial ultrasound scans to guide early delivery. Abnormal serum angiogenic factors, such as the soluble fms-like tyrosine kinase-1 (sFlt-1):placental growth factor (PlGF) ratio, have shown potential to more accurately distinguish FGR from SGA, with fewer false positives.

An Analysis of the Association of Whole Blood Transfusion With the Development of Acute Respiratory Distress Syndrome.

Objectives: To determine the association of whole blood and other blood products (components, prothrombin complex concentrate, and fibrinogen concentrate) with the development of acute respiratory distress syndrome (ARDS) among blood recipients.

Design: Retrospective cohort study.

Setting: American College of Surgeons Trauma Quality Improvement Program (TQIP) database between 2020 and 2021.