Learning difficulties in school children: health and education professionals' perceptions
Rev Bras Enferm. 2024 Apr 22;77(1):e20230074. doi: 10.1590/0034-7167-2023-0074. eCollection 2024.ABSTRACTOBJECTIVES: to understand health and education professionals' perceptions regarding children's learning difficulties in public schools.METHODS: qualitative research, of the participatory action type, linked to Paulo Freire's Research Itinerary. Forty-five professionals participated, through interviews and a Virtual Culture Circle. The analysis was developed through careful reading, reflection and interpretation of highlighted topics.RESULTS: professionals discussed the (in)visibility of learning difficulties, strategies...
Source: Revista Brasileira de Enfermagem - April 24, 2024 Category: Nursing Authors: Pamela Camila Fernandes Rumor Michelle Kuntz Durand Jeane Barros de Souza Janaina Medeiros de Souza Adriana Bitencourt Magagnin Ivonete Teresinha Sch ülter Buss Heidemann Source Type: research
Integrated bioinformatics and machine learning analysis identify ACADL as a potent biomarker of reactive mesothelial cells
This study aimed to identify and validate potential biomarkers that distinguish mesothelial cells from mesothelioma cells through machine learning combined with immunohistochemistry (IHC) experiments. We integrated the gene expression matrix from three GEO datasets (GSE2549, GSE12345, GSE51024) to analyze the differently expressed gene (DEGs) between normal and mesothelioma tissues. Then three machine learning algorithms, least absolute shrinkage and selection operator (LASSO), support vector machine-recursive feature elimination (SVM-RFE), and random forest (RF) were used to screen and obtain four shared candidate markers...
Source: The American Journal of Pathology - April 24, 2024 Category: Pathology Authors: Yige Yin Qianwen Cui Jiarong Zhao Qiang Wu Qiuyan Sun Hong-Qiang Wang Wulin Yang Source Type: research
Integrated bioinformatics and machine learning analysis identify ACADL as a potent biomarker of reactive mesothelial cells
This study aimed to identify and validate potential biomarkers that distinguish mesothelial cells from mesothelioma cells through machine learning combined with immunohistochemistry (IHC) experiments. We integrated the gene expression matrix from three GEO datasets (GSE2549, GSE12345, GSE51024) to analyze the differently expressed gene (DEGs) between normal and mesothelioma tissues. Then three machine learning algorithms, least absolute shrinkage and selection operator (LASSO), support vector machine-recursive feature elimination (SVM-RFE), and random forest (RF) were used to screen and obtain four shared candidate markers...
Source: Am J Pathol - April 24, 2024 Category: Pathology Authors: Yige Yin Qianwen Cui Jiarong Zhao Qiang Wu Qiuyan Sun Hong-Qiang Wang Wulin Yang Source Type: research
Application of deep learning and radiomics in the prediction of hematoma expansion in intracerebral hemorrhage: a fully automated hybrid approach
CONCLUSION: A model using deep learning and radiomics was successfully developed. This model can reliably predict the hematoma expansion of ICH with a fully automated process based on non-contrast computed tomography imaging. Furthermore, the radiomics fusion with the Inception_v3 model had the highest accuracy.PMID:38654561 | DOI:10.4274/dir.2024.222088 (Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology)
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - April 24, 2024 Category: Radiology Authors: Mengtian Lu Yaqi Wang Jiaqiang Tian Haifeng Feng Source Type: research
A deep learning-based calculation system for plaque stenosis severity on common carotid artery of ultrasound images
CONCLUSIONS: Our CANet model achieved excellent performance in the segmentation of carotid IMT and plaques as well as automated calculation of stenosis severity.PMID:38656244 | DOI:10.1177/17085381241246312 (Source: Vascular)
Source: Vascular - April 24, 2024 Category: Surgery Authors: Mengmeng Liu Wenjing Gao Di Song Yinghui Dong Shaofu Hong Chen Cui Siyuan Shi Kai Wu Jiayi Chen Jinfeng Xu Fajin Dong Source Type: research
A systematic review of prediction models on arteriovenous fistula: Risk scores and machine learning approaches
CONCLUSION: The performance of existing predictive models for AVF maturation/patency is underreported. They showed satisfactory performance in their own study population. However, there was high risk of bias in methodology used to build some of the models. The reviewed models also lack external validation or had reduced performance in external cohort.PMID:38658814 | DOI:10.1177/11297298241237830 (Source: The Journal of Vascular Access)
Source: The Journal of Vascular Access - April 24, 2024 Category: Surgery Authors: Lingyan Meng Pei Ho Source Type: research
Application of deep learning and radiomics in the prediction of hematoma expansion in intracerebral hemorrhage: a fully automated hybrid approach
CONCLUSION: A model using deep learning and radiomics was successfully developed. This model can reliably predict the hematoma expansion of ICH with a fully automated process based on non-contrast computed tomography imaging. Furthermore, the radiomics fusion with the Inception_v3 model had the highest accuracy.PMID:38654561 | DOI:10.4274/dir.2024.222088 (Source: Diagnostic and Interventional Radiology)
Source: Diagnostic and Interventional Radiology - April 24, 2024 Category: Radiology Authors: Mengtian Lu Yaqi Wang Jiaqiang Tian Haifeng Feng Source Type: research
Teaching the tutors: use of an OSTE to train medical students to be peer tutors
Adv Physiol Educ. 2024 Jun 1;48(2):368-377. doi: 10.1152/advan.00007.2024.ABSTRACTFirst-year medical students are often challenged by the rapid pace and large volume of content that must be learned. Peer teaching has emerged as a supportive educational strategy. However, the most effective strategies for training peer tutors (PTs) for their role are not known. This paper examines the use of an Objective Structured Teaching Exercise (OSTE) to augment PT training sessions. Applying deliberate practice as a conceptual framework, an OSTE was used to provide tutors with an opportunity to practice their skills and receive feedba...
Source: Adv Physiol Educ - April 24, 2024 Category: Universities & Medical Training Authors: Christian Schill Samantha Panich Mary F Barbe Maryellen E Gusic Judith Litvin Source Type: research
The hippocampus as a structural and functional network epicentre for distant cortical thinning in neurocognitive aging
Neurobiol Aging. 2024 Apr 18;139:82-89. doi: 10.1016/j.neurobiolaging.2024.04.004. Online ahead of print.ABSTRACTAlterations in grey matter (GM) and white matter (WM) are associated with memory impairment across the neurocognitive aging spectrum and theorised to spread throughout brain networks. Functional and structural connectivity (FC,SC) may explain widespread atrophy. We tested the effect of SC and FC to the hippocampus on cortical thickness (CT) of connected areas. In 419 (223 F) participants (agemean=73 ± 8) from the Alzheimer's Disease Neuroimaging Initiative, cortical regions associated with memory (Rey Auditory ...
Source: Neurobiology of Aging - April 24, 2024 Category: Geriatrics Authors: Charly Hugo Alexandre Billaud Junhong Yu Source Type: research
Domains, competences and learning outcomes for undergraduate education in periodontology
CONCLUSIONS: Specific learning outcomes have been proposed within each competence area, that is in Domain I (n = 10), Domain II (n = 13), Domain III (n = 33) and Domain IV (n = 12). Teaching methods and learning activities based on the different dimensions of the cognitive process have been proposed. Additionally, 10 key learning outcomes have been proposed as exit outcomes, which implies their accomplishment within the final assessment of any graduating student.PMID:38655768 | DOI:10.1111/jcpe.13991 (Source: Journal of Clinical Periodontology)
Source: Journal of Clinical Periodontology - April 24, 2024 Category: Dentistry Authors: Elena Figuero Mervi G ürsoy Virginie Monnet-Corti Margarita Iniesta Angeline Antezack Ines Kapferer-Seebacher Christian Graetz Yuval Vered Andreas Stavropoulos Asaf Wilensky Peter Eickholz Mariano Sanz Source Type: research
Large-scale, mobile and technology-enhanced serious game for interprofessional education: pilot study and lessons learnt
This report describes the design and pilot testing of a large-scale, mobile, technology-enhanced serious game embedded in the IPE curriculum in Geneva, Switzerland. Organized into teams of eight, the students were tasked with finding a young patient who had just escaped from the intensive care unit. Through a series of 10 stations, they explored hospital- and community-based locations of the healthcare system and were engaged in various learning and game activities; they were rewarded with cues to unveil the mystery. A total of 582 undergraduate students from seven disciplines (medicine, midwifery, nursing, nutrition-diete...
Source: Journal of Interprofessional Care - April 24, 2024 Category: Health Management Authors: Patricia Picchiottino Adeline Paignon Liudmyla Hesse Sophie Bos Joanne Wiesner Conti Marie P Schneider Thomas Fassier Source Type: research
Is Project ECHO the transformational silver lining for interprofessional and interorganizational collaboration?
J Interprof Care. 2024 Apr 24:1-9. doi: 10.1080/13561820.2024.2343832. Online ahead of print.ABSTRACTThe globally disruptive impact of the COVID-19 pandemic on both healthcare systems and health profession education has created an opportunity for a reassessment of methods for delivering interprofessional practice education (IPE). A good candidate for consideration is Project ECHO (Extension for Community Healthcare Outcomes). Its unique combination of structural design in connecting specialist and community-based clinical sites, foundational education theories, and didactic and case-based learning methods present an innova...
Source: Journal of Interprofessional Care - April 24, 2024 Category: Health Management Authors: Phillip G Clark Source Type: research
Collaboration in action: successful implementation of a learner-driven virtual interprofessional education curriculum in the clinical learning environment
J Interprof Care. 2024 Apr 24:1-6. doi: 10.1080/13561820.2024.2343826. Online ahead of print.ABSTRACTThough technological capabilities to provide high-quality, flexible interprofessional education (IPE) have continued to grow, this remains a largely undeveloped area in the clinical learning environment (CLE). To address this gap, the University of Minnesota launched the Collaboration in Action: Learner-Driven Curriculum (CIA-LDC) as an IPE model designed for sustainability in a post-pandemic world. Over the course of two academic years, the CIA-LDC framework evolved and expanded through an iterative, data-informed approach...
Source: Journal of Interprofessional Care - April 24, 2024 Category: Health Management Authors: Sara North Roni Lafky Bonnie Horgos Cheri Friedrich Source Type: research
Diagnosis and Severity Assessment of COPD Using a Novel Fast-Response Capnometer and Interpretable Machine Learning
CONCLUSION: The N-TidalTM device could be used alongside interpretable machine learning as an accurate, point-of-care diagnostic test for COPD, particularly in primary care as a rapid rule-in or rule-out test. N-TidalTM also could be effective in monitoring disease progression, providing a possible alternative to spirometry for disease monitoring.PMID:38655897 | DOI:10.1080/15412555.2024.2321379 (Source: COPD: Journal of Chronic Obstructive Pulmonary Disease)
Source: COPD: Journal of Chronic Obstructive Pulmonary Disease - April 24, 2024 Category: Respiratory Medicine Authors: Leeran Talker Cihan Dogan Daniel Neville Rui Hen Lim Henry Broomfield Gabriel Lambert Ahmed Selim Thomas Brown Laura Wiffen Julian Carter Helen F Ashdown Gail Hayward Elango Vijaykumar Scott T Weiss Anoop Chauhan Ameera X Patel Source Type: research
Emergence of enhancers at late DNA replicating regions
Nat Commun. 2024 Apr 24;15(1):3451. doi: 10.1038/s41467-024-47391-5.ABSTRACTEnhancers are fast-evolving genomic sequences that control spatiotemporal gene expression patterns. By examining enhancer turnover across mammalian species and in multiple tissue types, we uncover a relationship between the emergence of enhancers and genome organization as a function of germline DNA replication time. While enhancers are most abundant in euchromatic regions, enhancers emerge almost twice as often in late compared to early germline replicating regions, independent of transposable elements. Using a deep learning sequence model, we dem...
Source: Cancer Control - April 24, 2024 Category: Cancer & Oncology Authors: Paola Cornejo-P áramo Veronika Petrova Xuan Zhang Robert S Young Emily S Wong Source Type: research
