Objectives To evaluate the association between tackle characteristics and suspected concussion among Canadian high school ...

Importance/background The 12-lead ECG is recommended in clinical guidelines for prehospital assessment of patients with ...

Objectives This study uses nationally representative survey data from the USA to estimate the relationship between a history of heart attack or stroke with the prevalence of mental health symptoms.

Margins in B2B retail never hinge on just your sales strategy; they can rise or fall on sourcing decisions buried deep within the metal supply chain.

Background Previous research on congenital aortic stenosis (AS) mainly focused on children, while data on long-term outcomes in adults is scarce. Therefore, this study aims to evaluate outcomes in ...

In logistics, we spend a lot of time talking about efficiency. But lately, I’ve been thinking more about resilience. Trade rules are shifting—again. Tariff structures are in flux. Policy signals are ...

Abstract: This study introduces a novel approach to example selection in few-shot learning scenarios for dialog intent classification, leveraging logistic regression to refine the set of examples ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

In Table 3, the VIF values for each variable are < 5, which has been reduced as multicollinearity between variables. 3.3. Use the Entropy Weight Method to Weight the Data When exploring the factors ...

Abstract: Employee Well-being is the physical and psychological experience and feeling of employees during work, it is a critical indicator of employee's quality of life and plays an important role in ...