Lymphocyte-based inflammatory markers: Novel predictors of significant coronary artery disease.

Background: Lymphocyte-based inflammatory indices such as monocyte-to-lymphocyte ratio (MLR) have long been recognized as reliable coronary artery disease (CAD) predictors. More recently, novel indices like the Systemic Inflammatory Index (SII), Systemic Inflammatory Response Index (SIRI), and Systemic Immune-Inflammation Index (SIIRI) have emerged. These newer markers offer a more comprehensive assessment of inflammation by integrating multiple immune cell types, potentially enhancing the prediction of cardiovascular outcomes.

Neural-fuzzy machine learning approach for the fatigue-creep reliability modeling of SAC305 solder joints.

The accuracy of reliability models is one of the most problematic issues that must be considered for the life of electronic assemblies, particularly those used for critical applications. The reliability of electronics is limited by the fatigue life of interconnected solder materials, which is influenced by many factors. This paper provides a method to build a robust machine-learning reliability model to predict the life of solder joints in common applications.

Reliability modeling of the fatigue life of lead-free solder joints at different testing temperatures and load levels using the Arrhenius model.

Reliability of the microelectronic interconnection materials for electronic packages has a significant impact on the fatigue properties of the electronic assemblies. This is due to the correlation between solder joints reliability and the most frequent failure modes seen in electronic devices. Due to their superior mechanical and fatigue properties, SAC alloys have supplanted Pb-solder alloys as one of the most commonly used solder materials used as interconnection joints on electronic packages.

Factor Analysis of Quality Management Systems Implementation in Healthcare: An Online Survey.

This paper investigates the views of healthcare researchers and professionals on the implementation of the Quality Management System (QMS) approach using a 5-point Likert scale survey. Researchers and healthcare professionals who observed or participated in QMS implementation were surveyed. Multiple channels, including occupational societies, social networking, i.

Patients' experiences in the intensive care unit in Jordan: A cross-sectional study.

Aims: The purpose of this study was to describe the experiences of Jordanian patients during their stay in intensive care unit (ICU) and to explore associated factors.

Background: Various factors can negatively affect patients' experiences and lead to negative consequences that can affect their outcomes.

Materials & Methods: A descriptive, correlational design was used to collect data from 150 patients using the Intensive Care Experience Questionnaire through structured interviews after being transferred from medical and surgical ICUs to general wards.

Development and validation of a cumulative exposure shoulder risk assessment tool based on fatigue failure theory.

Objective: To present a new risk assessment tool for shoulder intensive occupational tasks based on fatigue failure theory.

Methods: The tool estimates cumulative damage (CD) based on shoulder moments and loading cycles using an S-N curve derived from in vitro tendon fatigue failure tests. If multiple shoulder tasks are performed, the CD for each is summed.