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Time series prediction of the chemical components of PM < sub > 2.5 < /sub > based on a deep learning model
This study provides insight into improving the accuracy of modeling-based detection methods and promotes the development of integrated air pollution monitoring toward a more sustainable direction.PMID:37714468 | DOI:10.1016/j.chemosphere.2023.140153
Source: Chemosphere - September 15, 2023 Category: Chemistry Authors: Kai Liu Yuanhang Zhang Huan He Hui Xiao Siyuan Wang Yuteng Zhang Huiming Li Xin Qian Source Type: research
Physical model-based cascaded generative adversarial networks for accelerating quantitative multi-parametric magnetic resonance imaging
CONCLUSION: Compared with other existing methods, the physical model-based cascaded generative adversarial networks can reconstruct more image details and features, thus improving the quality and accuracy of the reconstructed images.PMID:37712278 | DOI:10.12122/j.issn.1673-4254.2023.08.18
Source: Journal of Southern Medical University - September 15, 2023 Category: Universities & Medical Training Authors: Y Liu Z Chu Y Zhang Source Type: research
A Dual-Aware deep learning framework for identification of glioma isocitrate dehydrogenase genotype using magnetic resonance amide proton transfer modalities
CONCLUSION: The proposed deep learning algorithm model constructed based on the image characteristics of the APT modality is effective for glioma IDH genotyping and identification task and may potentially replace the commonly used T1CE modality to avoid contrast agent injection and achieve non- invasive IDH genotyping.PMID:37712275 | DOI:10.12122/j.issn.1673-4254.2023.08.15
Source: Journal of Southern Medical University - September 15, 2023 Category: Universities & Medical Training Authors: Z Chu Y Qu T Zhong S Liang Z Wen Y Zhang Source Type: research
Broadband sensory networks with locally stored responsivities for neuromorphic machine vision
Sci Adv. 2023 Sep 15;9(37):eadi5104. doi: 10.1126/sciadv.adi5104. Epub 2023 Sep 15.ABSTRACTAs the most promising candidates for the implementation of in-sensor computing, retinomorphic vision sensors can constitute built-in neural networks and directly implement multiply-and-accumulation operations using responsivities as the weights. However, existing retinomorphic vision sensors mainly use a sustained gate bias to maintain the responsivity due to its volatile nature. Here, we propose an ion-induced localized-field strategy to develop retinomorphic vision sensors with nonvolatile tunable responsivity in both positive and ...
Source: Adv Data - September 15, 2023 Category: Epidemiology Authors: Guo-Xin Zhang Zhi-Cheng Zhang Xu-Dong Chen Lixing Kang Yuan Li Fu-Dong Wang Lei Shi Ke Shi Zhi-Bo Liu Jian-Guo Tian Tong-Bu Lu Jin Zhang 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
Protein classification by autofluorescence spectral shape analysis using machine learning
Talanta. 2023 Sep 9;267:125167. doi: 10.1016/j.talanta.2023.125167. Online ahead of print.ABSTRACTDepending on the relative numbers and spatial arrangement of Tryptophan (Trp; W) and Tyrosine (Tyr; Y) residues, different proteins produce distinct autofluorescence (AF) spectral shapes when excited at ∼280 nm. Yet, considering the vast number and heterogeneous forms in nature, visual analysis and precise identification of proteins based on their AF spectra is challenging and further compounded in cases when different proteins produce substantially similar AF spectral shapes. There is, thus, a serious need to develop a meth...
Source: Talanta - September 15, 2023 Category: Chemistry Authors: Darshan Chikkanayakanahalli Mukunda Jackson Rodrigues Subhash Chandra Nirmal Mazumder Alex Vitkin Krishna Kishore Mahato 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
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
Readiness of Pharmacists as Providers of Social Determinants of Health and Call to Action
Am J Pharm Educ. 2023 Sep;87(9):100051. doi: 10.1016/j.ajpe.2022.10.011. Epub 2023 Mar 15.ABSTRACTSocial determinants of health (SDOH) are defined as the conditions in the environments where people are born, live, learn, work, play, worship, and age. SDOH has an enormous impact on achieving the goals set by Healthy People 2030. With their education and training, pharmacists are in an ideal position to provide SDOH services. Community pharmacists should take innovative approaches in collaboration with the Community Pharmacy Enhanced Services Network to develop standard protocols for SDOH and reimbursements for these service...
Source: American Journal of Pharmaceutical Education - September 15, 2023 Category: Universities & Medical Training Authors: M Omar Faruk Khan L Douglas Ried 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
Backward Design to Combat Curricular Expansion in a Large, Interdisciplinary, Team-Taught Course
CONCLUSION: Using backward design as a framework to intentionally evaluate didactic content volume and assessment alignment can address curricular expansion while maintaining student learning and decreasing student and instructor stress.PMID:37714652 | DOI:10.1016/j.ajpe.2022.12.009
Source: American Journal of Pharmaceutical Education - September 15, 2023 Category: Universities & Medical Training Authors: Kristine M Cline Marjorie M Winhoven Victoria L Williams Katherine A Kelley Brianne L Porter 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: Environmental Pollution - September 15, 2023 Category: Environmental Health Authors: Tong Lyu Yilin Tang Hongbin Cao Yue Gao Xu Zhou Wei Zhang Ruidi Zhang Yanxue Jiang Source Type: research
Congener-specific uptake and accumulation of bisphenols in edible plants: Binding to prediction of bioaccumulation by attention mechanism multi-layer perceptron machine learning model
In this study, the uptake, translocation, and accumulation of five bisphenols (BPs) in carrot and lettuce plants were investigated through hydroponic culture (duration of 168 h) and soil culture (duration of 42 days) systems. The results suggested a higher bioconcentration factor (BCF) of bisphenol AF (BPAF) in plants than that of the other four BPs. A positive correlation was found between the log BCF and the log Kow of BPs (R2carrot = 0.991, R2lettuce = 0.784, P < 0.05), while the log (translocation factor) exhibited a negative correlation with the log Kow (R2carrot = 0.882, R2lettuce = 0.723, P < 0.05). The result...
Source: Environmental Pollution - September 15, 2023 Category: Environmental Health Authors: Xindong Yang Qinghua Zhou Qianwen Wang Juan Wu Haofeng Zhu Anping Zhang Jianqiang Sun Source Type: research
