Artificial neural networks for analyzing inter-limb coordination: the golf chip shot

Motor control research relies on theories, such as coordination dynamics, adapted from physical sciences to explain the emergence of coordinated movement in biological systems. Historically, many studies of coordination have involved inter-limb coordination of relatively few degrees of freedom. This study looked at the high-dimensional inter-limb coordination used to perform the golf chip shot toward six different target distances. This study also introduces a visualization of high-dimensional coordination relevant within the coordination dynamics theoretical framework. A specific type of Artificial Neural Network (ANN), the Self-Organizing Map (SOM), was used for the analysis. In this study, the trajectory of consecutive best-matching nodes on the output map was used as a collective variable and subsequently fed into a second SOM which was used to create visualization of coordination stability. The SOM trajectories showed changes in coordination between movement patterns used for short chip shots and movement patterns used for long chip shots. The attractor diagrams showed non-linear phase transitions for three out of four players. The methods used in this study may offer a solution for researchers from a coordination dynamics perspective who intend to use data obtained from discrete high-dimensional movements.     

Responding to the Psychological Needs of Health-Care Workers During the COVID-19 Pandemic: Case Study from the Medical College of Wisconsin

With the advent of the novel coronavirus (COVID-19) pandemic, health-care workers have been faced with an inordinately high level of trauma as frontline providers. The Medical College of Wisconsin (MCW) partnered with affiliate hospitals and community partners to mobilize a matrix of available support and interventions to deliver psychological services to reach all levels of health-care providers in timely, accessible formats. While virtual peer support groups were the most utilized resource among the support group options, other opportunities also provided unique benefits to learners whose education had been disrupted by the pandemic. Mental health must be prioritized for health-care workers in the event of future public health crises. Lessons learned from this pandemic indicate that it is critical to involve learners early on in the process in order to meet their educational needs and to increase access to evidence-based care.

     

Forensic interviews with preschool children: An analysis of extended interviews in Norway (2015–2017)

This study examined the quality of forensic interviews conducted by specially trained police officers in the Norwegian Barnahus between 2015 and 2017, using the sequential interview (SI) model, a Norwegian version of the extended interview model that has not previously been studied. Two hundred and seven interviews of alleged abused preschool children (3–7 years old) were selected from around the country. Developmental trends in interview dynamics and the pattern of disclosure were analyzed. Analyses showed that the interviews were long but involved few open-ended and many suggestive questions, especially in interviews with the youngest children who did not disclose. Because similar findings were obtained in previous studies of Norwegian interviews not using this model, the findings suggest that the SI interview model does little to improve the formal quality of forensic interviews with very young children, and show the need to develop new forms of interviewer training which are more intensive than those currently employed.     

Automatic and Controlled Processes in the Analytisis of Hierarchical Structure

Targets are identified faster if they appear at the same level (global vs. local) as the target on the previous trial. This effect has been attributed to a controlled attentional process wherein participants attend to the level containing the target on trial n − 1, thus facilitating performance if target level repeats on trial n. An alternative explanation (Lamb & Yund, 1966) is that automatic activation of level-specific neural mechanisms is responsible. The controlled-process hypothesis predicts better performance whenever target level is predictable, because participants can anticipate, and thus attend to, the appropriate level. The automatic-process hypothesis predicts better performance when target level repeats, regardless of target-level predictability. In the present studies, level repetitions facilitated performance regardless of target-level predictability. The data support the automatic-process explanation of level repetition and other attentional effects. The data illustrate how an automatic process can give rise to performance that seems to reflect more cognitive or strategic mechanisms.     

Enabling diverse learners to thrive in the online homiletics classroom

Many early efforts at teaching preaching online incurred disastrous losses in quality. Revamped versions now claim to meet, and in some areas even exceed, classroom learning effectiveness, with potentially significant gains for students from non‐dominant cultures. Students preach in local ethnic and denominational contexts, so a wider range of sermon styles can flourish in indigenous soil. Students hear immediate feedback from their community, and from their online peers and professor. Online discussion formats level the playing field for non‐native speakers. By remaining embedded in their denominational and ethnic environments, student's cultural differences may be simultaneously affirmed and critiqued. This article describes capacities which predict success among preaching students, and how culture may influence the manifestation of these capacities. It details best practices and continuing challenges for professors making the transition to online preaching courses, as they seek to build culturally sustaining learning environments in which diverse students may flourish.