Virtual learning

There is currently no systematic review of the growing body of literature on using social robots in early developmental research. Designing appropriate methods for early childhood research is crucial for broadening our understanding of young children's social and cognitive development. This scoping review systematically examines the existing literature on using social robots to study social and cognitive development in infants and toddlers aged between 2 and 35 months. Moreover, it aims to identify the research focus, findings, and reported gaps and challenges when using robots in research...

The study aimed to compare reciprocal behavior during interaction with a virtual-player in a computer game between children with typical development (TD) and children with specific-learning-disabilities (SLD) and/or with attention-deficit/hyperactivity disorder (ADHD), and to examine its correlation with social skills. A total of 120 children (43 SLD/ADHD, 77 TD) aged 9-11 years participated. Participants completed self-reported questionnaires focusing on social skills and reciprocity and played a computer game in which such social situations arose...

INTRODUCTION: Virtual reality (VR) is becoming increasingly popular to train health-care professionals (HCPs) to acquire and/or maintain cardiopulmonary resuscitation (CPR) basic or advanced skills. AIM: To understand whether VR in CPR training or retraining courses can have benefits for patients (neonatal, pediatric, and adult), HCPs and health-care organizations as compared to traditional CPR training. METHODS: A systematic review (PROSPERO: CRD42023431768) following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines...

Dysregulation of histone methyl transferase nuclear receptor-binding SET domain 2 (NSD2) has been implicated in several hematological and solid malignancies. NSD2 is a large multidomain protein that carries histone writing and histone reading functions. To date, identifying inhibitors of the enzymatic activity of NSD2 has proven challenging in terms of potency and SET domain selectivity. Inhibition of the NSD2-PWWP1 domain using small molecules has been considered as an alternative approach to reduce NSD2-unregulated activity...

Implementing and sustaining technological innovations in healthcare is a complex process. Commonly, innovations are abandoned due to unsuccessful attempts to sustain and scale-up post implementation. Limited information is available on what characterizes successful e-health innovations and the enabling factors that can lead to their sustainability in complex hospital environments. We present a successful implementation, sustainability and scale-up of a virtual care program consisting of three e-health applications (telemedicine, telehome monitoring, and interactive voice response) in a major cardiac care hospital in Canada...

INTRODUCTION: Studies have consistently demonstrated increased stress sensitivity in individuals with psychosis. Since stress sensitivity may play a role in the onset and maintenance of psychosis, this could potentially be a promising target for treatment. The current study was the first to investigate whether reactivity to and recovery from daily-life stressors in psychosis change in response to treatment, namely virtual-reality-based cognitive behavioral therapy (VR-CBT). METHODS: 116 patients were randomized to either VR-CBT or the waiting list control group (WL)...

The findings of the 2023 AAPM Grand Challenge on Deep Generative Modeling for Learning Medical Image Statistics are reported in this Special Report. The goal of this challenge was to promote the development of deep generative models (DGMs) for medical imaging and to emphasize the need for their domain-relevant assessment via the analysis of relevant image statistics. As part of this Grand Challenge, a training dataset was developed based on 3D anthropomorphic breast phantoms from the VICTRE virtual imaging toolbox...

BACKGROUND: The COVID-19 pandemic control strategies disrupted the smooth delivery of essential health services (EHS) globally. Limited evidence exists on the health systems lens approach to analyzing the challenges encountered in maintaining EHS during the COVID-19 pandemic. This study aimed to identify the health system challenges encountered and document the mitigation strategies and adaptations made across geopolitical zones (GPZs) in Nigeria. METHODS: The national qualitative survey of key actors across the six GPZs in Nigeria involved ten states and the Federal Capital Territory (FCT) which were selected based on resilience, COVID-19 burden and security considerations...

Automatic treatment planning of radiation therapy (RT) is desired to ensure plan quality, improve planning efficiency, and reduce human errors. We have proposed an Intelligent Automatic Treatment Planning framework with a virtual treatment planner (VTP), an artificial intelligence robot built using deep reinforcement learning (DRL), autonomously operating a treatment planning system (TPS). This study extends our previous successes in relatively simple prostate cancer RT planning to head-and-neck (H&N) cancer, a more challenging context even for human planners due to multiple prescription levels, proximity of targets to critical organs, and tight dosimetric constraints...

PURPOSE: The purpose of this study was to explore pediatric physical therapists' (PTs') experiences including successes, challenges, and barriers with cross-cultural communication with Arabic-speaking Middle Eastern children and their families who require interpreter services. METHODS: Eight PTs consented to participate in qualitative dyadic interviews. Transcription and interviews were conducted virtually in Microsoft Teams. Quality criteria included member checking for validity and trustworthiness and bracketing to minimize investigator bias...

The potential impact of large-scale combat operations and multidomain operations against peer adversaries poses significant challenges to the Military Health System including large volumes of critically ill and injured casualties, prolonged care times in austere care contexts, limited movement, contested logistics, and denied communications. These challenges contribute to the probability of higher casualty mortality and risk that casualty care hinders commanders' forward momentum or opportunities for overmatch on the battlefield...

Virtual Fencing (VF) can be a helpful technology in managing herds in pasture-based systems. In VF systems, animals wear a VF-collar using global positioning, and physical boundaries are replaced by virtual ones. The Nofence (Nofence AS, Batnfjordsøra, Norway) collars used in this study emit an acoustic warning when an animal approaches the virtual boundaries, followed by an aversive electrical pulse if the animal does not return to the defined area. The stimuli sequence is repeated up to 3 times if the animal continues to walk forward...

PURPOSE: Digital health technologies have the potential to advance rehabilitation. The Virtual Engagement Rehabilitation Assistant (VERA) is a digital technology, co-designed to increase service-user engagement and promote self-management. This qualitative study explored staff and service-user perceptions of implementing VERA on a UK complex inpatient rehabilitation ward. METHODS: Purposively sampled service-users were allocated to VERA for up to six weeks. The Non-adoption, Abandonment, Scale-up, Spread and Sustainability (NASSS) framework underpinned service-user post-intervention interviews and staff focus groups, and structured analysis of the data...

PURPOSE: Describe spirituality's role in a sample of Hispanic adolescent and young adult (AYA) cancer survivors. METHODS: This phenomenology-informed convergent parallel mixed-methods study aimed to explore participants' lived experiences with hope during cancer treatments and cancer survivorship. A purposive sample of Hispanic AYAs who completed cancer treatments 2-5 years ago were virtually recruited for participation. Participants completed virtual semi-structured interviews about their experiences with hope during cancer treatments and cancer survivorship and prepared narratives about their experiences...

BACKGROUND: Biofeedback-based virtual reality (VR-BF) is a novel, nonpharmacologic method for teaching patients how to control their breathing, which in turn increases heart rate variability (HRV) and may reduce pain. Unlike traditional forms of biofeedback (BF), VR-BF is delivered through a gamified virtual reality environment, increasing the accessibility of BF. This is the first study to systematically integrate VR-BF use in the pediatric perioperative setting, with the ultimate goal of evaluating the efficacy of VR-BF to reduce pain, anxiety, and opioid consumption once feasibility and acceptability has been established...

This study proposes an integrated ergonomic evaluation designed to identify unsafe postures, whereby postural risks during industrial work are assessed in the context of virtual reality-based smart manufacturing. Unsafe postures were recognised by identifying the displacements of the centre of mass (COM) of body keypoints using a computer vision-based deep learning (DL) convolutional neural network approach. The risk levels for the identified unsafe postures were calculated using ergonomic risk assessment tools rapid upper limb assessment and rapid whole-body assessment...

INTRODUCTION: Self-management programs for spinal cord injury (SCI) are a growing adjunct to traditional healthcare services aiding individuals with SCI in learning and managing symptoms and medical care. A benefit of self-management programs is that they can be facilitated by peers, offering a unique lived experience of adjusting to and managing SCI. While a growing body of literature highlights the effectiveness of peer led programs, there is limited understanding of how individuals engage with peer programs or critical components of peer support...

Microsurgery is a complex subspecialty requiring fine manual dexterity and a thorough understanding of microsurgical techniques, requiring years of training to reach proficiency. On a global scale, trainees may not have access to a longitudinal microsurgery curriculum and instead attend brief courses to learn microsurgical techniques, limiting their ability to practice the nuances of microsurgery. There remains a gap in global microsurgical education for trainees to have consistent educational exposure. This article presents a novel and easy to use software-based microsurgical system for virtual microsurgical teaching...

To unlock the full promise of messenger (mRNA) therapies, expanding the toolkit of lipid nanoparticles is paramount. However, a pivotal component of lipid nanoparticle development that remains a bottleneck is identifying new ionizable lipids. Here we describe an accelerated approach to discovering effective ionizable lipids for mRNA delivery that combines machine learning with advanced combinatorial chemistry tools. Starting from a simple four-component reaction platform, we create a chemically diverse library of 584 ionizable lipids...

Inductive bias in machine learning (ML) is the set of assumptions describing how a model makes predictions. Different ML-based methods for protein-ligand binding affinity (PLA) prediction have different inductive biases, leading to different levels of generalization capability and interpretability. Intuitively, the inductive bias of an ML-based model for PLA prediction should fit in with biological mechanisms relevant for binding to achieve good predictions with meaningful reasons. To this end, we propose an interaction-based inductive bias to restrict neural networks to functions relevant for binding with two assumptions: (1) A protein-ligand complex can be naturally expressed as a heterogeneous graph with covalent and non-covalent interactions; (2) The predicted PLA is the sum of pairwise atom-atom affinities determined by non-covalent interactions...