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Titlebook: Advances in Motor Neuroprostheses; Ramana Vinjamuri Book 2020 Springer Nature Switzerland AG 2020 Motor Neuroprosthesis.Modular Prosthetic

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Model Predictive Control-Based Knee Actuator Allocation During a Standing-Up Motion with a Powered osts. The task consists of retrieving and ranking Reddit social media sentences that convey symptoms of depression from the BDI-II questionnaire. To augment our data and improve downstream models, we utilized synthetic data generated by GPT-3.5 and LLama-3 for each of the BDI-II symptoms. Our approa
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,Deep Brain Stimulation for Gait and Postural Disturbances in Parkinson’s Disease, issue recently. A major feature to be researched using text analysis has been gender. Despite a lot of studies that have obviously contributed to the progress in the field, identification of gender with text authors so far remains challenging and daunting. One of the reasons is that current researc
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Cognitive and Physiological Intent for the Adaptation of Motor Prostheses,erged as a significant concern. This trend has had adverse effects on women’s well-being and their ability to freely express themselves. The EXIST campaign has been promoting research in online sexism detection and categorization in English and Spanish since 2021. The fourth edition of EXIST, hosted
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Back Matter6. Accordingly, more attention has been paid to this issue by scientists to develop automated tools to combat those pieces of information that contain misinformation, using natural language processing methods. Although the performance of fake news detection models has increased by using more complex
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Determination of Tristimulus Values,rning (Campopiano et al., Behav. Brain Res. .:425–435, 2018) and electromyography technology (i.e., multi-node sEMG arrays (Farina et al., J. Appl. Physiol. .:1215–1230, 2018)) that may assist in personalizing devices, more robustly normalizing signals, and/or identifying control commands.
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Sinan Kockara,Mutlu Mete,Sait Suereus (PPN) and the substantia nigra pars reticulata (SNr). Here, we reviewed the current state of understanding regarding the effects of STN/GPi DBS, PPN DBS, and SNr DBS on gait and postural disturbances in PD and the proposed underlying mechanisms of action. The stimulation parameters (i.e., locati
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Front Mattered the visual representation of images to learn a feature model, in this way we can match query images with words by simply measuring visual similarity. Second, a query is formed with the retrieved words and candidate captions are retrieved from a reference dataset of sentences. Despite the simplici
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