Simultaneous Unbinned Differential Cross-Section Measurement of Twenty-Four Z+jets Kinematic Observables with the ATLAS Detector.

Z boson events at the Large Hadron Collider can be selected with high purity and are sensitive to a diverse range of QCD phenomena. As a result, these events are often used to probe the nature of the strong force, improve Monte Carlo event generators, and search for deviations from standard model predictions. All previous measurements of Z boson production characterize the event properties using a small number of observables and present the results as differential cross sections in predetermined bins.

Health-related physical fitness in children among five Mediterranean countries: a cross-cultural study from the DELICIOUS project.

Background: Health-related fitness (HRF) components are essential for supporting healthy growth and reducing long-term health risks in children. This study explored cross-cultural variations in HRF among children from five Mediterranean countries-Egypt, Italy, Lebanon, Portugal, and Spain-within the framework of the DELICIOUS project.

Methods: A total of 860 children participated in the study, including 204 from Egypt ( = 204, 11.

Phoenix Comprehensive Assessment of Pectus Excavatum Symptoms (PCAPES).

Background: Pectus excavatum (PE) can cause cardiopulmonary compression with a wide range of symptoms and psychosocial effects. Few validated surveys assess the extensive symptomatology of the adult pectus population. A comprehensive symptom survey was developed and validated with outcomes presented.

Role of transcutaneous electrical nerve stimulation in alleviation of tinnitus in normal hearing subjects.

Background: Subjective tinnitus is characterized by perception of sound in the absence of any external or internal acoustic stimuli. Many approaches have been developed over the years to treat tinnitus (medical and nonmedical). However, no consensus has been reached on the optimal therapeutic approach.

Empowering nurse leaders: readiness for AI integration and the perceived benefits of predictive analytics.

Introduction: Artificial Intelligence (AI) is increasingly being integrated into healthcare, particularly through predictive analytics that can enhance patient care and operational efficiency. Nursing leaders play a crucial role in the successful adoption of these technologies.

Aim: This study aims to assess the readiness of nursing leaders for AI integration and evaluate their perceptions of the benefits of AI-driven predictive analytics in healthcare.