Professional identity development of advanced practice nurses: Evaluating its integration in curricula and relevance for professional practice.

Aim: To demonstrate how students, alums and faculty view the effectiveness of the integration of university mission statements into curriculum and their significance for preparing for professional practice.

Background: This study builds on previous research exploring the influence of mission, vision and values statements in informing DNP program curricula and contributing to the development of students' professional identity by analyzing how the themes found were integrated into curricula and their perceived relevancy for practice.

Design: A mixed-methods approach was used called Group Concept Mapping, which built on the previous qualitative data found using quantitative analysis.

The role of Doctor of Nursing Practice programs' mission, vision, and values statements in the development of students' professional identity: A qualitative study.

Objectives: The effectiveness of university and program mission, vision, and values statements in shaping Doctor in Nursing Practice (DNP) programs' curricula and their students' professional identity is insufficiently understood.

Design: This qualitative research project explored how these statements inform DNP program curricula and contribute to the development of the professional identity of students SETTING: Three DNP programs in the U.S.

Development of the Biomech-Wrist: A 3-DOF Exoskeleton for Rehabilitation and Training of Human Wrist.

This work describes a three-degrees-of-freedom rehabilitation exoskeleton robot for wrist articulation movement: the Biomech-Wrist. The proposed development includes the design requirements based on the biomechanics and anthropometric features of the upper limb, the mechanical design, electronic instrumentation, software design, manufacturing, control algorithm implementation, and the experimental setup to validate the functionality of the system. The design requirements were set to achieve human wrist-like movements: ulnar-radial deviation, flexion-extension, and pronation-supination.

Forearm sEMG data from young healthy humans during the execution of hand movements.

This work provides a complete dataset containing surface electromyography (sEMG) signals acquired from the forearm with a sampling frequency of 1000 Hz. The dataset is named WyoFlex sEMG Hand Gesture and recorded the data of 28 participants between 18 and 37 years old without neuromuscular diseases or cardiovascular problems. The test protocol consisted of sEMG signals acquisition corresponding to ten wrist and grasping movements (extension, flexion, ulnar deviation, radial deviation, hook grip, power grip, spherical grip, precision grip, lateral grip, and pinch grip), considering three repetitions for each gesture.

Musculoskeletal Neural Network path generator for a virtual upper-limb active controlled orthosis.

In this paper, a non-parametric model of the neuromusculoskeletal system for the biceps brachii is presented. The model serves to generate angular paths for the control of a virtual active orthosis. The path generator uses a differential neural network (DNN) identifier that obtains the reference angular position and velocities using the raw electromyographic (EMG) signals as input.

Robust min-max optimal control design for systems with uncertain models: A neural dynamic programming approach.

The design of an artificial neural network (ANN) based sub-optimal controller to solve the finite-horizon optimization problem for a class of systems with uncertainties is the main outcome of this study. The optimization problem considers a convex performance index in the Bolza form. The dynamic uncertain restriction is considered as a linear system affected by modeling uncertainties, as well as by external bounded perturbations.