Positive reinforcement training

The advent of Industry 4.0 has significantly promoted the field of intelligent manufacturing, which is facilitated by the development of new technologies are emerging. Robot technology and robot intelligence methods have rapidly developed and been widely applied. Manipulators are widely used in industry, and their control is a crucial research topic. The inverse kinematics solution of manipulators is an important part of manipulator control, which calculates the joint angles required for the end effector to reach a desired position and posture...

The caudolateral nidopallium (NCL, an analog of the prefrontal cortex) is known to be involved in learning, memory, and discrimination in corvids (a songbird), whereas the involvement of other brain regions in these phenomena is not well explored. We used house crows ( Corvus splendens ) to explore the neural correlates of learning and decision-making by initially training them on a shape discrimination task followed by immunohistochemistry to study the immediate early gene expression (Arc), a dopaminoceptive neuronal marker (DARPP-32, Dopamine- and cAMP-regulated phosphoprotein, Mr 32 kDa) to understand the involvement of the reward pathway and an immature neuronal marker (DCX, doublecortin) to detect learning-induced changes in adult neurogenesis...

The role of financial experts is to provide their professional judgments with an opinion included in the financial reports after reviewing an entity's financial information, following a specific audit process. We investigate whether confirmation bias (through prior audit opinions) occurs among auditors during the audit process and decision-making, and whether experience mitigates this effect. A total of 175 non-experienced auditors run a 2x4 between-subjects experiment (experiment 1) studying how financial information (IV with two levels: negative and neutral/positive) and previous audit report (IV with four levels: absence, negative, moderately negative, and positive) might influence the issuance of the subsequent decision-making (DV)...

OBJECTIVE: This study addresses challenges in surgical education, particularly in neuroendoscopy, where the demand for optimized workflow conflicts with the need for trainees' active participation in surgeries. To overcome these challenges, we propose a framework that accurately identifies anatomical structures within images guided by language descriptions, facilitating authentic and interactive learning experiences in neuroendoscopy. METHODS: Utilizing the encoder-decoder architecture of a conventional transformer, our framework processes multimodal inputs (images and language descriptions) to identify and localize features in neuroendoscopic images...

BACKGROUND: Global emergency medicine (GEM) is situated at the intersection of global health and emergency medicine (EM), which is built upon a history of colonial systems and institutions that continue to reinforce inequities between high-income countries (HICs) and low- and middle-income countries (LMICs) today. These power imbalances yield disparities in GEM practice, research, and education. APPROACH: The Global Emergency Medicine Academy (GEMA) of the Society for Academic Emergency Medicine formed the Decolonizing GEM Working Group in 2020, which now includes over 100 worldwide members...

BACKGROUND: Menstrual Regulation (MR) has been legal in Bangladesh since 1979 in an effort to reduce maternal mortality from unsafe abortion care. However, access to high-quality and patient-centered MR care remains a challenge. This analysis aimed to explore what clients know before going into care and the experience itself across a variety of service delivery sites where MR care is available. METHODS: We conducted 26 qualitative semi-structured interviews with MR clients who were recruited from three different service delivery sites in Dhaka, Bangladesh from January to March 2019...

BACKGROUND: Development of nursing leadership is necessary to ensure that nurse leaders of the future are well-equipped to tackle the challenges of a burdened healthcare system. In this context, the Strengths-Based Nursing and Healthcare Leadership program was delivered to 121 participants from 5 organizations in Canada in 2021 and 2022. To date, no study used a qualitative approach to explore nursing leaders' perceptions of a leadership Strengths-Based Nursing and Healthcare Leadership program three months post training...

BACKGROUND: Targeted interventions have been found effective for developing leadership practices in nurses. However, to date, no leadership training program based on the Strengths-Based Nursing and Healthcare Leadership approach exists. OBJECTIVES: Demonstrate the effectiveness of a Strengths-Based Nursing and Healthcare Leadership 6-month program designed for nurse and healthcare leaders on leadership capacity and psychological outcomes. DESIGN: Concurrent mixed-methods with nurse and healthcare leaders from five healthcare organisations in Quebec and Ontario (Canada)...

BACKGROUND: People with concurrent mental health and substance use disorders have complex biopsychosocial problems but risk not having their healthcare needs met. Nurses are positioned to meet these needs but often lack training in concurrent disorder management. Extension for Community Healthcare Outcomes (ECHO®, University of New Mexico Health Sciences Center, 2003) is a promising technology-enabled collaborative learning model used to implement evidence-based practice and build capacity among healthcare professionals in managing complex, chronic, health conditions...

INTRODUCTION: Women in India experience high rates of postpartum depression (PPD), with minimal availability of screening or treatment. India has an extensive network of community health workers, known as accredited social health activists (ASHAs). While they are knowledgeable about most maternal-child health problems, they have minimal knowledge about PPD. We trained ASHAs to deliver a simple home-based intervention, behavioral activation (BA), which involves individuals in activities that are sources of positive reinforcement to counter depression...

INTRODUCTION: Severe malaria often results in childhood disability. The prevalence of disability related to severe malaria is significant and is estimated to affect up to 53% of severe malaria survivors. In contrast, information is sparse about how healthcare providers in Africa think about or provide rehabilitation support in acute and post-acute phases respectively. Understanding the perceptions and behaviors of healthcare providers treating malaria could help inform malaria-related disability research, policy, and practice, aimed at the providers themselves...

BACKGROUND: Interprofessionalism is considered a key component in modern health profession education. Nevertheless, there remains ongoing debate about when and where to introduce interprofessional trainings in the curriculum. We identified anatomy, a subject commonly shared among health professionals, as a practical choice for initiating early intergroup-contact between first-year medical and midwifery students. Our study examined the effects of a four-hour block course in anatomy on interprofessional socialization and valuing, as well as long-term effects on intergroup contact...

Computed tomography images are of utmost importance when characterizing the heterogeneous and complex microstructure of discontinuously fiber reinforced polymers. However, the devices are expensive and the scans are time- and energy-intensive. Through recent advances in generative adversarial networks, the instantaneous generation of endless numbers of images that are representative of the input images and hold physical significance becomes possible. Hence, this work presents a deep convolutional generative adversarial network trained on approximately 30,000 input images from carbon fiber reinforced polyamide 6 computed tomography scans...

Heart rate measurements can be useful for the monitoring of both physical and mental condition in humans and nonhuman animals. Yet, information about heart rates in chimpanzees, who are phylogenetically the closest species to humans, is scarce. Existing data on chimpanzee heart rates have mainly been collected from chimpanzees under anesthesia. To address this issue, we conducted electrocardiogram recordings in captive chimpanzees under normal conditions without anesthesia based on positive reinforcement training...

Sensory processing sensitivity (SPS) is a personality trait that makes certain individuals excessively sensitive to stimuli. People carrying this trait are defined as Highly Sensitive People (HSP). The SPS trait is notably prevalent among nursing students and nurse staff. Although there are HSP diagnostic tools, there is little information about early detection. Therefore, the aim of this work was to develop a prediction model to identify HSP and provide an individualized nursing assessment. A total of 672 nursing students completed all the evaluations...

Biological accounts of reinforcement learning posit that dopamine encodes reward prediction errors (RPEs), which are multiplied by a learning rate to update state or action values. These values are thought to be represented in synaptic weights in the striatum, and updated by dopamine-dependent plasticity, suggesting that dopamine release might reflect the product of the learning rate and RPE. Here, we leveraged the fact that animals learn faster in volatile environments to characterize dopamine encoding of learning rates...

BACKGROUND: The current state of the mental health crisis has been a topic of discussion around the nation, with those in rural communities being at a particularly higher risk. Community pharmacists are uniquely positioned to screen patients for mental health disorders as well as provide education and patient monitoring following medication changes by prescribers. OBJECTIVE: The objective of this study is to assess mental health screening outcomes provided by rural community pharmacists...

Balance training is essential for physical rehabilitation procedures, as it can improve functional mobility and enhance cognitive coordination. However, conventional balance training methods may have limitations in terms of motivation, real-time objective feedback, and personalization, which a virtual reality (VR) setup may better provide. In this work, we present an immersive VR training environment for lower extremity balance rehabilitation with real-time guidance and feedback. The VR training environment immerses the user in a 3D ice rink model where a virtual coach (agent) leads them through a series of balance poses, and the user controls a trainee avatar with their own movements...

BACKGROUND: The incidence of neonatal opiate withdrawal syndrome (NOWS) in the US has grown dramatically over the past two decades. Many rural hospitals not equipped to manage these patients transfer them to hospitals in bigger cities. METHODS: We created a curriculum, the NOWS-NM Program, a web-based curriculum training in best practices. To evaluate the curriculum, we conducted pre- and post-surveys of NOWS knowledge, attitudes, and care practices, plus post-curriculum interviews and focus groups...

Supervised machine learning-based medical image computing applications necessitate expert label curation, while unlabelled image data might be relatively abundant. Active learning methods aim to prioritise a subset of available image data for expert annotation, for label-efficient model training. We develop a controller neural network that measures priority of images in a sequence of batches, as in batch-mode active learning, for multi-class segmentation tasks. The controller is optimised by rewarding positive task-specific performance gain, within a Markov decision process (MDP) environment that also optimises the task predictor...