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3681
Validation of a Finite Element Simulation for Predicting Individual Knee Joint Kinematics
Published 2024-01-01“…Our vision is to improve clinicians' understanding of the complex individual anatomy and potential pathologies to improve treatment and restore physiological joint kinematics. <italic>Methods:</italic> Our 3D FE modeling approach for individual human knee joints is based on segmentation of anatomical structures extracted from routine static magnetic resonance (MR) images. …”
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3682
Characterization of Sleep Structure and Autonomic Dysfunction in REM Sleep Behavior Disorder
Published 2024-01-01“…<italic>Goal:</italic> REM Sleep Behavior Disorder (RBD) is a REM parasomnia that is associated to high risk of developing α-synucleinopathies, as Parkinson's disease (PD) or dementia with Lewy bodies, over time. …”
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3683
Usability Assessment of Technologies for Remote Monitoring of Knee Osteoarthritis
Published 2024-01-01“…<italic>Methods:</italic> We recruited eleven patients affected by mild or moderate knee osteoarthritis, eleven caregivers, and eleven clinicians to assess the following technologies: a wristband for monitoring physical activity, an examination chair for measuring leg extension, a thermal camera for acquiring skin thermographic data, a force balance for measuring center of pressure, an ultrasound imaging system for remote echographic acquisition, a mobile app, and a clinical portal software. …”
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3684
Bayesian Inference of Hidden Cognitive Performance and Arousal States in Presence of Music
Published 2024-01-01“…<italic>Goal:</italic> Poor arousal management may lead to reduced cognitive performance. …”
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3685
On the Evaluation of the Hyperthermic Efficiency of Magnetic Scaffolds
Published 2024-01-01“…<italic>Goal:</italic> Deep-seated tumors (DST) can be treated using thermoseeds exposed to a radiofrequency magnetic field for performing local interstitial hyperthermia treatment (HT). …”
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3686
Low-Rank Adaptation of Pre-Trained Large Vision Models for Improved Lung Nodule Malignancy Classification
Published 2025-01-01“…Inspired by LoRA's success in the field of Natural Language Processing, we hypothesized that such an adaptation technique can significantly improve classification performance, parameter efficiency, and training speed for the novel application of lung image cancer diagnostic. <italic>Methods:</italic> Utilizing two comprehensive lung nodule datasets, NLSTx and LIDC, which together encompass a diverse array of biopsy- and radiologist-confirmed lung CT scans, our rigorous experimental setup demonstrates that LoRA-adapted models markedly surpass traditional fine-tuning methods. …”
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3687
Gastric Section Correlation Network for Gastric Precancerous Lesion Diagnosis
Published 2024-01-01“…<italic>Goal:</italic> Diagnosing the corpus-predominant gastritis index (CGI) which is an early precancerous lesion in the stomach has been shown its effectiveness in identifying high gastric cancer risk patients for preventive healthcare. …”
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3688
Classification of Aortic Stenosis Patients via ECG-Independent Multi-Site Measurements of Cardiac-Induced Accelerations and Angular Velocities at the Skin Level
Published 2024-01-01“…<italic>Goal:</italic> To evaluate the suitability of seismocardiogram (SCG) and gyrocardiogram (GCG) recorded at the skin level to classify aortic stenosis (AS) patients from healthy volunteers, and to determine the optimal sensor position for the classification. …”
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3689
UKSSL: Underlying Knowledge Based Semi-Supervised Learning for Medical Image Classification
Published 2024-01-01Subjects: Get full text
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3690
BucketAugment: Reinforced Domain Generalisation in Abdominal CT Segmentation
Published 2024-01-01Subjects: “…Medical image segmentation…”
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3691
Pulse2AI: An Adaptive Framework to Standardize and Process Pulsatile Wearable Sensor Data for Clinical Applications
Published 2024-01-01“…<italic>Results:</italic> a dataset preprocessed by Pulse2AI improved systolic blood pressure estimation by 29.58%, from 11.41 to 8.03 mmHg in root-mean-square-error (RMSE) and its diastolic counterpart by 26.01%, from 7.93 to 5.87 mmHg in RMSE. …”
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3692
Performance of a Continuous Subcutaneous Insulin Infusion (CSII) Pump With Acoustic Volume and Flow Sensing in Simulated High-Consequence Situations
Published 2024-01-01“…<italic>Goal:</italic> An insulin pump's failure to deliver insulin in the right amount at the right time is a preventable cause of hospitalization. …”
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3693
Fetal-BET: Brain Extraction Tool for Fetal MRI
Published 2024-01-01“…The robustness of our deep learning model underscores its potential utility for fetal brain imaging.…”
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3694
Designing and Assessing Courses and Curricula : a practical guide /
Published 2008Table of Contents: “…Preface -- Acknowledgments -- About the author --Part 1: Frame Of Reference -- 1: Learning-centered approach to course and curriculum design -- 2: Expanding role of faculty in accreditation and accountability -- 3: Staying informed -- 4: Scholarship and faculty rewards -- 5: Introduction to the model and its benefits -- 6: Diagramming -- Part 2: Process -- 7: Making the decision to go ahead -- 8: Getting started -- 9: Linking goals, courses, and curricula -- 10: Gathering and analyzing essential data -- 11: Thinking in the ideal -- 12: Adjusting from the ideal to the possible -- 13: Clarifying instructional goals and learning outcomes -- 14: Designing and implementing your assessment plan: Overview and assessing a curriculum -- 15: Designing and implementing your assessment plan: Assessing a course -- Part 3: Designing, Implementing, And Assessing The Learning Experience -- 16: Designing the learning experience: Research on teaching and learning -- 17: Designing the learning experience: Your instructional options -- 18: Using technology to support learning / Wallace Hannum -- 19: Distance learning / Wallace Hannum -- 20: Meeting the needs of adult learners / G Roger Sell -- 21: Addressing diversity / G Roger Sell -- 22: Developing a learning-centered syllabus -- Part 4: Your Next Steps -- 23: Using your data: curriculum and course revision -- 24: Learning from experience -- Resources -- Case studies -- References -- Index.…”
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3695
Anonymous whistleblowers reply scheme based on secret sharing
Published 2024-12-01“…The experimental results show that compared to the Express scheme, the proposed scheme reduces the computational complexity during a reply to <italic>O</italic>(1) from <italic>O</italic>(log<italic>N</italic>), resulting in a 60% reduction in computational overhead for the receiving organization and a 50% reduction for the server.…”
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3696
Accuracy and Usability of Smartphone-Based Distance Estimation Approaches for Visual Assistive Technology Development
Published 2024-01-01“…<italic>Results:</italic> For accuracy in the image center, all approaches had <±2.5 cm average error, except CoreML which had ±5.2–6.2 cm average error at 2–3 meters. …”
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3697
A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory Features
Published 2024-01-01“…<italic>Goal:</italic> The purpose of this study is to evaluate the importance of cardiorespiratory variables within a Reinforcement Learning (RL) recommendation system aimed at establishing optimal strategies for drug treatment of septic patients in the intensive care unit (ICU). …”
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3698
Mtazamo Wa Walimu Wa Kiswahili Ka Tika Shule Za Upili Kuhusu UbadilishaJi Wa Mtaala Wa Elimu Wilay Ani Kabale Nchini Uganda.
Published 2024“…Utafiti huu unahusu mtazamo wa walimu wa Kiswahili kuhusu ubadilishaji wa mtaala wa elimu nchini Uganda tukilenga wilaya ya Kabale. …”
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3699
Le traducteur et les italiques. Omniscience et redressement dans Madame Bovary
Published 2012-11-01“…This paper focuses on how Flaubert’s use of italics is rendered in some translated texts of Madame Bovary (English, Spanish and Catalan translations). …”
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3700
Analysis of GAA Junction Less NS FET Towards Analog and RF Applications at 30 nm Regime
Published 2024-01-01“…The performance of both the classical and quantum models of the GAA nanosheet device is evaluated using the visual TCAD tool, which measures the <italic>I<sub>ON</sub></italic>, <italic>I<sub>OFF</sub></italic>, <italic>I<sub>ON</sub>/ I<sub>OFF</sub></italic>, threshold voltage, DIBL, gain parameters (g<sub>m</sub>, g<sub>d</sub>, A<sub>v</sub>), gate capacitance, and cut-off frequency (<italic>f<sub>T</sub></italic>). …”
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