Filtered By:
Education: Learning
This page shows you your search results in order of date. This is page number 18.
Order by Relevance | Date
Total 117300 results found since Jan 2013.
The psychophysiology of "covert" goal-directed behavior
Prog Brain Res. 2023;280:17-42. doi: 10.1016/bs.pbr.2023.01.006. Epub 2023 Mar 9.ABSTRACTCovert behavior is defined as behavior that is not directly visible and is thus comparable to a type of behavioral silence that requires modern psychophysiological techniques to reveal. Goal-directed behavior is teleologically purposive. Fundamentally, there are two approaches to accounting for purposeful behavior. One is the cybernetic approach, which views behavior as homeostatic and largely reflexive. The other one views behavior as a cognitive process that involves an interaction between neural events representing the previous expe...
Source: Brain Research - September 15, 2023 Category: Neurology Authors: Giuseppe Augusto Chiarenza Source Type: research
Alterations of learning and memory are accompanied by alterations in the expression of 5-HT receptors, glucocorticoid receptor and brain-derived neurotrophic factor in different brain regions of an animal model of depression generated by neonatally male treatment with clomipramine in male rats
Behav Brain Res. 2023 Sep 14;455:114664. doi: 10.1016/j.bbr.2023.114664. Online ahead of print.ABSTRACTDepressive illness has been associated with impaired cognitive processes accompanied by reduced neurotrophin levels, especially brain-derived neurotrophic factor (BDNF), and dysfunctions in the hypothalamic-pituitary-adrenal (HPA) axis. In addition, depression is characterized by a decreased functioning of the serotonergic system due to changes in the activity or expression of its receptors including, most significantly, 5-HT1A, 5-HT2A, and 5-HT3 in brain regions that regulate mood, emotions, and memory, such as the prefr...
Source: Brain Research - September 15, 2023 Category: Neurology Authors: Ofelia Lim ón-Morales Kenia Morales-Quintero Marcela Arteaga-Silva Tania Molina-Jim énez Marco Cerb ón Herlinda Bonilla-Jaime Source Type: research
Machine learning- and WGCNA-mediated double analysis based on genes associated with disulfidptosis, cuproptosis and ferroptosis for the construction and validation of the prognostic model for breast cancer
CONCLUSION: Multiplex analysis based on DRGs, CRGs and FRGs correlated strongly with BC, providing new insights for developing clinical prognostic tools and designing immunotherapy regimens for BC patients.PMID:37712959 | DOI:10.1007/s00432-023-05378-7
Source: Clinical Breast Cancer - September 15, 2023 Category: Cancer & Oncology Authors: Lijun Xu Shanshan Wang Dan Zhang Yunxi Wu Jiali Shan Huixia Zhu Chongyu Wang Qingqing Wang Source Type: research
Comparison of convolutional-neural-networks-based method and LCModel on the quantification of in vivo magnetic resonance spectroscopy
CONCLUSION: In conclusion, the CNN based method with the proposed scaling procedures can be employed to quantify in vivo MRS spectra and derive metabolites concentrations in IU. The SE can be used as error index, indicating predicted uncertainties for metabolites and sharing information similar to the absolute CRLB.PMID:37713007 | DOI:10.1007/s10334-023-01120-z
Source: Magma - September 15, 2023 Category: Radiology Authors: Yu-Long Huang Yi-Ru Lin Shang-Yueh Tsai Source Type: research
Development of a national deep learning-based auto-segmentation model for the heart on clinical delineations from the DBCG RT nation cohort
CONCLUSIONS: This study demonstrated a deep learning-based auto-segmentation model trained on curated clinical delineations which performs on par with a model trained on dedicated delineations, making it easier to develop multi-institutional auto-segmentation models.PMID:37712509 | DOI:10.1080/0284186X.2023.2252582
Source: Acta Oncologica - September 15, 2023 Category: Cancer & Oncology Authors: Emma Riis Skars ø Lasse Refsgaard Abhilasha Saini Ditte Sloth M øller Ebbe Laugaard Lorenzen Else Maae Karen Andersen Maja Vestm ø Maraldo Marie Louise Milo Tine Bisballe Nyeng Birgitte Vrou Offersen Stine Sofia Korreman Source Type: research
Machine learning to predict outcomes following endovascular abdominal aortic aneurysm repair
CONCLUSIONS: In this data set, machine learning was able to predict 1-year mortality following EVAR using preoperative data and outperformed standard logistic regression models.PMID:37710397 | DOI:10.1093/bjs/znad287
Source: The British Journal of Surgery - September 15, 2023 Category: Surgery Authors: Ben Li Badr Aljabri Raj Verma Derek Beaton Naomi Eisenberg Douglas S Lee Duminda N Wijeysundera Thomas L Forbes Ori D Rotstein Charles de Mestral Muhammad Mamdani Graham Roche-Nagle Mohammed Al-Omran Source Type: research
Incorporating Interprofessional Education into a Required Introductory Pharmacy and Nursing Didactic Course
CONCLUSION: Including joint IPE sessions in a foundational didactic course was a feasible and successful IPE component. Sessions provided students with experience practicing foundational skills for interprofessional communication and teamwork. Students reported high satisfaction and valued the sessions, as indicated by quantitative surveys and qualitative themes.PMID:37714658 | DOI:10.1016/j.ajpe.2023.100123
Source: American Journal of Pharmaceutical Education - September 15, 2023 Category: Universities & Medical Training Authors: Jonathan Thigpen Deborah Naccarini Sherry L Moore Nicole S Culhane Source Type: research
Pharmacy Students Practicing Health Advocate Competency Roles in Workplace-Based Training
CONCLUSION: Pharmacy students construct health advocacy roles in workplace-based training through biomedical-oriented practices with little direct input offered by supervisors. Pharmacy educational outcomes require contemporary updates to health advocacy competency descriptions which offer examples for practical enactment at system-level and recommendations for feedback and assessment.PMID:37714657 | DOI:10.1016/j.ajpe.2023.100118
Source: American Journal of Pharmaceutical Education - September 15, 2023 Category: Universities & Medical Training Authors: Mojan Fazelipour Amninder Dhatt Tom Sun Arwa Nemir Kerry Wilbur Source Type: research
A Call to Action to Address Well-Being Within Experiential Education
Am J Pharm Educ. 2023 Sep;87(9):100078. doi: 10.1016/j.ajpe.2023.100078. Epub 2023 May 9.ABSTRACTThere is a significant lack of literature exploring or describing pharmacy student well-being during experiential learning even though students spend 30% of their doctor of pharmacy curricula in this environment. Drawing on inspiration from literature describing well-being challenges and solutions for pharmacy residents and other health disciplines, this commentary explores the unique challenges of supporting pharmacy student well-being during experiential education. Approaches for interventions are described along with a call ...
Source: American Journal of Pharmaceutical Education - September 15, 2023 Category: Universities & Medical Training Authors: Kate Newman Suzanne Larson Melissa J Ruble Misha Thomason Watts Source Type: research
A Genetics-Focused Lens on Social Constructs in Pharmacy Education
Am J Pharm Educ. 2023 Sep;87(9):100077. doi: 10.1016/j.ajpe.2023.100077. Epub 2023 May 10.ABSTRACTOBJECTIVE: Incorporating diversity, equity, inclusion, and anti-racism principles into clinical and didactic education is essential because each influence cognitive and affective attitudes in pharmacy practice. Educators must learn from the past to enlighten the future. For example, race is a social construct, not a biological construct. However, it persistently acts as a surrogate for determining medical diagnoses and treatment.FINDINGS: Precision medicine and pharmacogenomics can serve as a basis for deconstructing social co...
Source: American Journal of Pharmaceutical Education - September 15, 2023 Category: Universities & Medical Training Authors: Justina Lipscomb Marina G álvez-Peralta Cheryl D Cropp Elina Delgado Rustin Crutchley Diane Calinski Otito Iwuchukwu Source Type: research
Alterations of learning and memory are accompanied by alterations in the expression of 5-HT receptors, glucocorticoid receptor and brain-derived neurotrophic factor in different brain regions of an animal model of depression generated by neonatally male treatment with clomipramine in male rats
Behav Brain Res. 2023 Sep 14;455:114664. doi: 10.1016/j.bbr.2023.114664. Online ahead of print.ABSTRACTDepressive illness has been associated with impaired cognitive processes accompanied by reduced neurotrophin levels, especially brain-derived neurotrophic factor (BDNF), and dysfunctions in the hypothalamic-pituitary-adrenal (HPA) axis. In addition, depression is characterized by a decreased functioning of the serotonergic system due to changes in the activity or expression of its receptors including, most significantly, 5-HT1A, 5-HT2A, and 5-HT3 in brain regions that regulate mood, emotions, and memory, such as the prefr...
Source: Behavioural Brain Research - September 15, 2023 Category: Neurology Authors: Ofelia Lim ón-Morales Kenia Morales-Quintero Marcela Arteaga-Silva Tania Molina-Jim énez Marco Cerb ón Herlinda Bonilla-Jaime Source Type: research
Machine learning- and WGCNA-mediated double analysis based on genes associated with disulfidptosis, cuproptosis and ferroptosis for the construction and validation of the prognostic model for breast cancer
CONCLUSION: Multiplex analysis based on DRGs, CRGs and FRGs correlated strongly with BC, providing new insights for developing clinical prognostic tools and designing immunotherapy regimens for BC patients.PMID:37712959 | DOI:10.1007/s00432-023-05378-7
Source: Clinical Genitourinary Cancer - September 15, 2023 Category: Cancer & Oncology Authors: Lijun Xu Shanshan Wang Dan Zhang Yunxi Wu Jiali Shan Huixia Zhu Chongyu Wang Qingqing Wang Source Type: research
Estimating the geographical patterns and health risks associated with PM < sub > 2.5 < /sub > -bound heavy metals to guide PM < sub > 2.5 < /sub > control targets in China based on machine-learning algorithms
In this study, we compiled a substantial dataset consisting of the concentrations of eight PBHMs, including As, Cd, Cr, Cu, Mn, Ni, Pb and Zn, across different cities in China. To improve prediction accuracy, we enhanced the traditional land-use regression (LUR) model by incorporating emission source-related variables and employing the best-fitted machine-learning algorithm, which was applied to predict PBHM concentrations, analyze geographical patterns and assess the health risks associated with metals under different PM2.5 control targets. Our model exhibited excellent performance in predicting the concentrations of PBHM...
Source: Cancer Control - September 15, 2023 Category: Cancer & Oncology Authors: Tong Lyu Yilin Tang Hongbin Cao Yue Gao Xu Zhou Wei Zhang Ruidi Zhang Yanxue Jiang Source Type: research
Machine Learning: a New Approach for Dose Individualization
Clin Pharmacol Ther. 2023 Sep 15. doi: 10.1002/cpt.3049. Online ahead of print.ABSTRACTThe application of machine learning (ML) has shown promising results in precision medicine due to its exceptional performance in dealing with complex multidimensional data. However, using ML for individualized dosing of medicines is still in its early stage, meriting further exploration. A systematic review of study designs and modeling details of using ML for individualized dosing of different drugs was performed. We have summarized the status of the study populations, predictive targets, and data sources for ML modeling, the selection ...
Source: Clinical Pharmacology and Therapeutics - September 15, 2023 Category: Drugs & Pharmacology Authors: Qiu-Yue Li Bo-Hao Tang Yue-E Wu Bu-Fan Yao Wei Zhang Yi Zheng Yue Zhou John van den Anker Guo-Xiang Hao Wei Zhao Source Type: research
Alterations of fecal microbiome and metabolome in pemphigus patients
J Autoimmun. 2023 Sep 13:103108. doi: 10.1016/j.jaut.2023.103108. Online ahead of print.ABSTRACTThe role of gut microbiome and metabolic substances in the development of autoimmune diseases has gradually been revealed. However, the relevant gut features in pemphigus have not been well clarified. We collected stool samples from pemphigus patients and healthy controls (HCs). Metagenomic sequencing and liquid chromatography-mass spectrometry (LC/MS) metabolome sequencing were performed to analyze the compositional and metabolic alternations of the gut microbiome in pemphigus patients and HCs. We observed the reduced richness ...
Source: Journal of Autoimmunity - September 15, 2023 Category: Allergy & Immunology Authors: Ziyu Guo Nam Yiu Zhi Hu Wenyu Zhou Xuan Long Miao Yang Jieyue Liao Guiying Zhang Qianjin Lu Ming Zhao Source Type: research
