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Intelligent alert system for predicting invasive mechanical ventilation needs via noninvasive parameters: employing an integrated machine learning method with integration of multicenter databases
The use of invasive mechanical ventilation (IMV) is crucial in rescuing patients with respiratory dysfunction. Accurately predicting the demand for...
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Influence of framing coil orientation and its shape on the hemodynamics of a basilar aneurysm model
AbstractAneurysms are bulges of an artery, which require clinical management solutions. Due to the inherent advantages, endovascular coil filling is...
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Integrating online partial pair programming and socially shared metacognitive regulation for the improvement of students’ learning
Many universities around the world were forced to lock down and students had to continue their learning in online environments in response to the...
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Machine learning models’ assessment: trust and performance
AbstractThe common black box nature of machine learning models is an obstacle to their application in health care context. Their widespread...
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Self-Sovereign Identity Model: Ethics and Legal Principles
The emergence of Self-Sovereign Identity (SSI) as a new digital identity paradigm has gained significant attention due to its potential to...
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Evaluation of geosynthetic encased columns in Zambian heterogenous soils
The development of Zambia has brought increased large-scale infrastructure construction that has necessitated the need for improved foundation...
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Layer-selective deep representation to improve esophageal cancer classification
AbstractEven though artificial intelligence and machine learning have demonstrated remarkable performances in medical image computing, their...
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Soft-tissue sound-speed-aware ultrasound-CT registration method for computer-assisted orthopedic surgery
Ultrasound (US) has been introduced to computer-assisted orthopedic surgery for bone registration owing to its advantages of nonionizing radiation,...
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The Adoption of smart health services by older adults in retirement communities: analysis with the technology acceptance model (TAM)
Currently, an increasing number of elderly people are choosing to live in elderly care communities, where they have access to smart health services....
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Automatic text classification of prostate cancer malignancy scores in radiology reports using NLP models
AbstractThis paper presents the implementation of two automated text classification systems for prostate cancer findings based on the PI-RADS...
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Preparation of surgical meshes using self-regulating technology based on reaction-diffusion processes
AbstractWhile reaction-diffusion processes are utilized in multiple scientific fields, these phenomena have seen limited practical application in the...
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CommanderUAP: a practical and transferable universal adversarial attacks on speech recognition models
Most of the adversarial attacks against speech recognition systems focus on specific adversarial perturbations, which are generated by adversaries...
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Abnormal trial-to-trial variability in P300 time-varying directed eeg network of schizophrenia
Cognitive disturbance in identifying, processing, and responding to salient or novel stimuli are typical attributes of schizophrenia (SCH), and P300...
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Optimized attention-induced multihead convolutional neural network with efficientnetv2-fostered melanoma classification using dermoscopic images
AbstractMelanoma is an uncommon and dangerous type of skin cancer. Dermoscopic imaging aids skilled dermatologists in detection, yet the nuances...
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Enhancing fairness of trading environment: discovering overlap** spammer groups with dynamic co-review graph optimization
Within the thriving e-commerce landscape, some unscrupulous merchants hire spammer groups to post misleading reviews or ratings, aiming to manipulate...
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In-depth Correlation Power Analysis Attacks on a Hardware Implementation of CRYSTALS-Dilithium
During the standardisation process of post-quantum cryptography, NIST encourages research on side-channel analysis for candidate schemes. As the...
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Session-independent subject-adaptive mental imagery BCI using selective filter-bank adaptive Riemannian features
AbstractThe brain-computer interfaces (BCIs) facilitate the users to exploit information encoded in neural signals, specifically electroencephalogram...
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Atomic cross-chain swap based on private key exchange
Atomic Cross-Chain Swap (ACCS) is one important topic in cryptocurrency, where users can securely and trustlessly exchange assets between two...
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Effect of trabecular architectures on the mechanical response in osteoporotic and healthy human bone
Research at the mesoscale bone trabeculae arrangement yields intriguing results that, due to their clinical resolution, can be applied in clinical...
