Motivational states and learning

Performance degradation due to distribution discrepancy is a longstanding challenge in intelligent imaging, particularly for chest X-rays (CXRs). Recent studies have demonstrated that CNNs are biased toward styles (e.g., uninformative textures) rather than content (e.g., shape), in stark contrast to the human vision system. Radiologists tend to learn visual cues from CXRs and thus perform well across multiple domains. Motivated by this, we employ the novel on-the-fly style randomization modules at both image (SRM-IL) and feature (SRM-FL) levels to create rich style perturbed features while keeping the content intact for robust cross-domain performance...

Leveraging the power of artificial intelligence to facilitate an automatic analysis and monitoring of heart sounds has increasingly attracted tremendous efforts in the past decade. Nevertheless, lacking on standard open-access database made it difficult to maintain a sustainable and comparable research before the first release of the PhysioNet CinC Challenge Dataset. However, inconsistent standards on data collection, annotation, and partition are still restraining a fair and efficient comparison between different works...

Anticancer peptides (ACPs) are a group of peptides that exhibit antineoplastic properties. The utilization of ACPs in cancer prevention can present a viable substitute for conventional cancer therapeutics, as they possess a higher degree of selectivity and safety. Recent scientific advancements generate an interest in peptide-based therapies which offer the advantage of efficiently treating intended cells without negatively impacting normal cells. However, as the number of peptide sequences continues to increase rapidly, developing a reliable and precise prediction model becomes a challenging task...

BACKGROUND: One-fifth of people with drug-resistance tuberculosis (DR-TB) who were initiated on newer shorter treatment regimen (with injection) had unfavourable treatment outcomes in India as on 2020. Evidence on self-driven solutions and resilience adapted by people with DR-TB (PwDR-TB) towards their multi-dimensional disease and treatment challenges are scarce globally, which we aimed to understand. METHODS: In this qualitative study using positive deviance framework, we conducted semi-structured in-depth interviews among consenting adult PwDR-TB (7 women, 13 men) who completed shorter treatment regimen (including injections) with maximum treatment adherence...

Motivation is a key factor in engagement, achievement, and career choices in science, technology, engineering, and mathematics (STEM). While existing research has focused on student motivation toward math in formal school programs, new work is needed that focuses on motivation for those involved in informal STEM programs. Specifically, the role of math mindset and perceived inclusivity of informal STEM sites (to those of varying gender and ethnic backgrounds) on longitudinal trajectories of adolescents' math motivation has not been explored...

PURPOSE: We examined United States medical students' self-reported feedback encounters during clerkship training to better understand in situ feedback practices. Specifically, we asked: Who do students receive feedback from, about what, when, where, and how do they use it? We explored whether curricular expectations for preceptors' written commentary aligned with feedback as it occurs naturalistically in the workplace. METHODS: This study occurred from July 2021 to February 2022 at Southern Illinois University School of Medicine...

BACKGROUND: There is ample evidence that most children do not perform enough physical activity (PA). To address this major public health problem, the French government implemented 30 minutes of daily PA (DPA) at schools but did not provide any supplemental resources or concrete guidance. Considering both children's interest in video games and the need for teachers to complete their curriculum, the use of a learning-based exergame that combines PA and learning appears particularly relevant...

Background : Obesity is linked to chronic diseases in adults and children. Its prevalence continues to grow in the United States, necessitating the need for healthcare provider training and presenting an opportunity for the education of future medical providers. Despite this need, effectively implementing obesity education into medical school curricula has been challenging. Anti-obesity bias amongst healthcare providers and trainees represents a significant obstacle to the care of patients with obesity. Obesity bias may affect up to 1/3 of medical students...

BACKGROUND: The neuroendocrine system has important implications for affiliation behavior among humans and can be used to assess the correlation between social relationships, stress, and health. This can be influenced by social closeness; this aspect is the closeness towards another individual or a group of individuals such as a sports team. Sports performance anxiety is considered an unpleasant emotional reaction composed of physiological, cognitive, affective, and behavioral components...

The accurate segmentation of brain tumor is significant in clinical practice. Convolutional Neural Network (CNN)-based methods have made great progress in brain tumor segmentation due to powerful local modeling ability. However, brain tumors are frequently pattern-agnostic, i.e. variable in shape, size and location, which can not be effectively matched by traditional CNN-based methods with local and regular receptive fields. To address the above issues, we propose a shape-scale co-awareness network (S2 CA-Net) for brain tumor segmentation, which can efficiently learn shape-aware and scale-aware features simultaneously to enhance pattern-agnostic representations...

BACKGROUND: Obstetrics and gynecology (OB/GYN) is an essential medical field that focuses on women's health. Universities aim to provide high-quality healthcare services to women through comprehensive education of medical students. In Germany, medical education is undergoing a phase of restructuring towards the implementation of competency-based learning. The objective of the current survey was to gain insights into the teaching methods, resources, and challenges at German medical universities in the field OB/GYN...

BACKGROUND: Robots offer many unique opportunities for helping individuals with autism spectrum disorders (ASD). Determining the optimal motion of robots when interacting with individuals with ASD is important for achieving more natural human-robot interactions and for exploiting the full potential of robotic interventions. Most prior studies have used supervised machine learning (ML) of user behavioral data to enable robot perception of affective states (i.e., arousal and valence) and engagement...

BACKGROUND: Digitalization has long been an integral part of students' everyday lives and increasingly also of their medical training. It seems to be an unwritten law that "digital natives" want as much digitalization as possible. This study aims to shed more light on how students in the clinical phase of medical studies perceive the increasing digitalization of teaching and what they need for good education. MATERIALS AND METHODS: This study analyzed two surveys that were conducted using an online questionnaire...

The paper estimates the causal effect of a health treatment on patients' beliefs, preferences and memories about the treatment. It exploits a natural experiment which occurred in the United Kingdom during the COVID-19 vaccination campaign. UK residents could choose to opt into the vaccination program, but not which vaccine they received. The assignment to a vaccine offered little objective information for learning about its qualities, but triggered strong psychological demand for reassuring beliefs. We surveyed a sample of UK residents about their beliefs on the different COVID-19 vaccines before and after receiving their jab...

Many parents enroll their children in extracurricular music activities. However, cultural differences may contribute to parents' different values that ultimately influence their behaviors and attitudes. This cross-cultural study aimed to compare the value parents have on their children's private music education by examining four cases in Guilin, Guangxi (China) and Tampa, Florida (United States). Two main research questions guided this study: (1) How do parents in Guilin and Tampa perceive and value their children's music learning? (2) Does the value parents hold for their children's extracurricular music activities differ across different cultural contexts? If so, how do parents' values and perceptions of their children's involvement in extracurricular music activities differ between the contexts of Guilin and Tampa? We purposefully selected participants from two regions based on these criteria: (a) the participants included a single-child family and a two-child family in each of the two regions; (b) children's age ranged from 5 to 12 years and lived with their biological parents (c) children were currently taking music lessons after school...

BACKGROUND: There is increasing use of extracorporeal membrane oxygenation (ECMO) in intensive care, where nurses provide the majority of the required ongoing care of cannulas, circuit, and console. Limited evidence currently exists that details nursing perspectives, experiences, and challenges with workload in the provision of ECMO care. OBJECTIVE: The objective of this study was to investigate intensive care nurses' perceptions of workload in providing specialist ECMO therapy and care in a high-volume ECMO centre...

OBJECTIVE: The aim of this study was to develop and validate an instrument to measure Belonging in Surgery among surgical residents. SUMMARY BACKGROUND DATA: Belonging is the essential human need to maintain meaningful relationships and connections to one's community. Increased belongingness is associated with better well-being, job performance and motivation to learn. However, no tools exist to measure belonging among surgical trainees. METHODS: A panel of experts adapted a belonging instrument for use among United States surgery residents...

Graph neural networks (GNNs) excel in modeling relational data such as biological, social, and transportation networks, but the underpinnings of their success are not well understood. Traditional complexity measures from statistical learning theory fail to account for observed phenomena like the double descent or the impact of relational semantics on generalization error. Motivated by experimental observations of "transductive" double descent in key networks and datasets, we use analytical tools from statistical physics and random matrix theory to precisely characterize generalization in simple graph convolution networks on the contextual stochastic block model...

Nasal base aesthetics is an interesting and challenging issue that attracts the attention of researchers in recent years. With that insight, in this study, we propose a novel automatic framework (AF) for evaluating the nasal base which can be useful to improve the symmetry in rhinoplasty and reconstruction. The introduced AF includes a hybrid model for nasal base landmarks recognition and a combined model for predicting nasal base symmetry. The proposed state-of-the-art nasal base landmark detection model is trained on the nasal base images for comprehensive qualitative and quantitative assessments...

The current study examined how different features of corrective feedback influenced children's performance and motivational outcomes on a mathematics task. Elementary school-aged children from the United States (N = 130; Mage  = 7.61 years; 35% female; 60% White) participated in a Zoom session with a trained researcher. During the learning activity, children solved a series of mathematical equivalence problems and were assigned to different feedback conditions that varied in feedback content (correct answer alone vs...