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Articles 67081 - 67110 of 1792981
Full-Text Articles in Entire DC Network
The Best Cut: Evaluating Block, Sliced, And Diced Cartilage In Dorsal Augmentation Rhinoplasty, Trimartani Koento, Mirta Hediyati Reksodiputro, Mikhael Yosia
The Best Cut: Evaluating Block, Sliced, And Diced Cartilage In Dorsal Augmentation Rhinoplasty, Trimartani Koento, Mirta Hediyati Reksodiputro, Mikhael Yosia
AUIQ Complementary Biological System
Rhinoplasty is a surgical procedure aimed at improving the nasal shape and function, with dorsal augmentation playing a crucial role in nasal reconstruction. Autologous cartilage grafts, particularly from the rib, are widely used due to their structural integrity but pose challenges such as postoperative warping, graft shifting, and resorption. The evolution of cartilage grafting techniques has progressed from block to sliced and diced cartilage to enhance long-term stability and aesthetic outcomes. Block cartilage provides excellent structural support but is prone to warping due to intrinsic stress. Sliced cartilage reduces warping risk while offering greater flexibility, whereas diced cartilage allows for …
Retracted: Automated Diagnosis Of Orthopedic Patients With Vertebral Column Disorders Using Advanced Mathematical Modeling, Chen Feng, Zhenhua Sun, Xinheng Dai, Hongli Wen
Retracted: Automated Diagnosis Of Orthopedic Patients With Vertebral Column Disorders Using Advanced Mathematical Modeling, Chen Feng, Zhenhua Sun, Xinheng Dai, Hongli Wen
Iraqi Journal for Computer Science and Mathematics
Orthopedic disorders are multifactorial, making accurate diagnosis a significant challenge. This study introduces a novel method for classifying patients into three categories—normal, disc herniation, and spondylolisthesis—using biomechanical parameters derived from diagnostic datasets. To enhance classification accuracy, two meta-heuristic optimization algorithms—the Zebra Optimization Algorithm (ZOA) and Chaos Game Optimization (CGO)—are integrated with Adaptive Boosting (ADAC) and Light Gradient Boosting Machine (LGBM) classifiers. The experimental results reveal that ZOA significantly improves model performance, particularly in the ADAC classifier. The baseline ADAC model achieved a mean accuracy of 0.916, which increased to 0.952 after optimization with ZOA (referred to as the ADZO model). …
Deep Learning And Texture Analysis For Lung And Colon Cancer Predicting, Mohamed M. Neamah, Laith A. Al-Ani, Loay E. George
Deep Learning And Texture Analysis For Lung And Colon Cancer Predicting, Mohamed M. Neamah, Laith A. Al-Ani, Loay E. George
Iraqi Journal for Computer Science and Mathematics
Cancer remains a major cause of death worldwide, with lung and colon (LC) cancers presenting significant challenges to healthcare systems due to their high rates of occurrence and mortality. Early and precise diagnosis is essential for better patient outcomes. This research utilizes recent advances in deep learning (DL) and texture analysis (TA) to create a reliable predictive model for detecting LC cancer through histopathological images (HPI). A hybrid method is proposed that combines a gray-level co-occurrence matrix (GLCM) for extracting texture features with an adaptive modified EfficientNet B2 model (AM-EfficientNet B2) for deep feature extraction. These features are used to …
2024-2025 Annual Report | Wellness Committee, Tracey Matthews
2024-2025 Annual Report | Wellness Committee, Tracey Matthews
Wellness Committee Minutes
No abstract provided.
2024-2025 Annual Report | Institutional Effectiveness, Program Review Subcommittee, Tracey Matthews
2024-2025 Annual Report | Institutional Effectiveness, Program Review Subcommittee, Tracey Matthews
Institutional Effectiveness Committee Minutes
No abstract provided.
Counseling Theories And Techniques, Stephen Stratton
Christian Ethics, James Thobaben
Family Systems Theory, Joel Klepac
Christian Ethics, James Thobaben
Counseling Internship - Two, Jacqueline Smith
Phenotypic And Genetic Associations Between Cardiovascular Disease Subtypes And Alzheimer's Disease, Aili Toyli, Chen Zhao, Kuan-Jui Su, Hui Shen, Hong-Wen Deng, Qing-Hui Chen, Qiuying Sha, Weihua Zhou
Phenotypic And Genetic Associations Between Cardiovascular Disease Subtypes And Alzheimer's Disease, Aili Toyli, Chen Zhao, Kuan-Jui Su, Hui Shen, Hong-Wen Deng, Qing-Hui Chen, Qiuying Sha, Weihua Zhou
Michigan Tech Publications
BACKGROUND: Cardiovascular disease (CVD) and Alzheimer's disease (AD) are major public health concerns that share overlapping risk factors and potential mechanistic pathways. While vascular contributions to cognitive decline are well-documented, the specific relationships between AD and different CVD subtypes remain poorly understood. METHODS: We examined associations between AD and 11 CVD subtypes using logistic regression models in two large biobanks: the UK Biobank (n = 502,133) and the All of Us Research Program (n = 287,011). Models were adjusted for demographic, lifestyle, and clinical covariates. We also explored genetic overlap between AD and CVD traits through colocalization of significant single …
Group Counseling, Russell Hall
Mten 410-101: Soft Materials, Xiaoyang Xu
Mten 410-101: Soft Materials, Xiaoyang Xu
Chemical and Materials Engineering Syllabi
No abstract provided.
Phen 603-101: Pharmaceutical Processing And Manufacturing, Piero Armenante
Phen 603-101: Pharmaceutical Processing And Manufacturing, Piero Armenante
Chemical and Materials Engineering Syllabi
No abstract provided.
Che 101-001: Introduction To Chemical Engineering, Lisa Axe
Che 101-001: Introduction To Chemical Engineering, Lisa Axe
Chemical and Materials Engineering Syllabi
No abstract provided.
Che 201-001: Material & Energy Balances, Basil Baltzis
Che 201-001: Material & Energy Balances, Basil Baltzis
Chemical and Materials Engineering Syllabi
No abstract provided.
Che 472-001: Plant Design, Nellone Reid
Che 472-001: Plant Design, Nellone Reid
Chemical and Materials Engineering Syllabi
No abstract provided.
Che 472-Hm1: Plant Design, Nellone Reid
Che 472-Hm1: Plant Design, Nellone Reid
Chemical and Materials Engineering Syllabi
No abstract provided.
Che 495-001: Chemical Eng Lab I, Rees Rankin
Che 495-001: Chemical Eng Lab I, Rees Rankin
Chemical and Materials Engineering Syllabi
No abstract provided.
Che 496-001: Chemical Engineering Lab Ii, Rees Rankin
Che 496-001: Chemical Engineering Lab Ii, Rees Rankin
Chemical and Materials Engineering Syllabi
No abstract provided.
Che 612-101: Kinetics Of Reactions And Reactor Design, Xianqin Wang
Che 612-101: Kinetics Of Reactions And Reactor Design, Xianqin Wang
Chemical and Materials Engineering Syllabi
No abstract provided.
Mten 449-001: Materials Eng Design I, Murat Guvendiren
Mten 449-001: Materials Eng Design I, Murat Guvendiren
Chemical and Materials Engineering Syllabi
No abstract provided.
Phen 602-101: Pharmaceutical Facility Deisgn, Robert Lechich
Phen 602-101: Pharmaceutical Facility Deisgn, Robert Lechich
Chemical and Materials Engineering Syllabi
No abstract provided.
Ce 100 - 003: Ce Introd To Civil Eng, Frank Golon
Ce 100 - 003: Ce Introd To Civil Eng, Frank Golon
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 200 - 101: Surveying, Allison Lapatka
Ce 200 - 101: Surveying, Allison Lapatka
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 200a - 001, 003: Surveying Lab, Allison Lapatka, William Zimmermann
Ce 200a - 001, 003: Surveying Lab, Allison Lapatka, William Zimmermann
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 210 - 001: Constrn Matrls & Procdrs, Frank Golon
Ce 210 - 001: Constrn Matrls & Procdrs, Frank Golon
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 210 - 003: Constrn Matrls & Procdrs, Fadi Karaa
Ce 210 - 003: Constrn Matrls & Procdrs, Fadi Karaa
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 320 - 001, 101, Hm1: Fluid Mechanics, Thomas Olenik
Ce 320 - 001, 101, Hm1: Fluid Mechanics, Thomas Olenik
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 320 - 003: Fluid Mechanics, William Pennock
Ce 320 - 003: Fluid Mechanics, William Pennock
Civil and Environmental Engineering Syllabi
No abstract provided.