QCD challenges from pp to AA collisions: 4th edition.

This paper is a write-up of the ideas that were presented, developed and discussed at the fourth International Workshop on QCD Challenges from pp to AA, which took place in February 2023 in Padua, Italy. The goal of the workshop was to focus on some of the open questions in the field of high-energy heavy-ion physics and to stimulate the formulation of concrete suggestions for making progresses on both the experimental and theoretical sides. The paper gives a brief introduction to each topic and then summarizes the primary results.

Increasing Annual Cancer Incidence in Patients Age 20-49 Years: A Real-Data Study.

Purpose: Data from population-based studies have shown an increased incidence of certain types of neoplasms in patients younger than 50 years (early-onset cancer [EOC]); however, little information is derived from other real-world data sources. In a nonpopulation registry, we analyzed changes in the incidence of several neoplasms in successive generations.

Methods: This cross-sectional study included all patients with a cancer diagnosis registered in one university hospital in Málaga, Spain, between 1998 and 2021, and 18 neoplasms were analyzed.

Spin Alignment of Vector Mesons in Heavy-Ion Collisions.

Polarized quarks and antiquarks in high-energy heavy-ion collisions can lead to the spin alignment of vector mesons formed by quark coalescence. Using the relativistic spin Boltzmann equation for vector mesons derived from Kadanoff-Baym equations with an effective quark-meson model for strong interaction and quark coalescence model for hadronizaton, we calculate the spin density matrix element ρ_{00} for ϕ mesons and show that anisotropies of local field correlations with respect to the spin quantization direction lead to ϕ meson's spin alignment. We propose that the local correlation or fluctuation of ϕ fields is the dominant mechanism for the observed ϕ meson's spin alignment and its strength can be extracted from experimental data as functions of collision energies.

Risk Prediction Tools Available for Germline BRCA1/2 Mutations Underperform in Prostate Cancer Patients.

Early identification of germline BRCA1/2 mutations may be relevant for the management of patients with prostate cancer (PC) and to prevent future breast and ovarian cancers in their relatives. Several prediction tools have been developed to estimate the likelihood of a germline BRCA1/2 mutation and are widely used to optimize screening in breast and ovarian cancer patients. We aimed to elucidate the proportion of PC patients with known BRCA1/2 mutations who would have qualified for testing using two risk calculation models (BRCAPRO and the Manchester scoring system [MSS]).