Methodological Choices in Muscle Synergy Analysis Impact Differentiation of Physiological Characteristics Following Stroke

Muscle synergy analysis (MSA) is a mathematical technique that reduces the dimensionality of electromyographic (EMG) data.Used increasingly in biomechanics research, MSA requires methodological choices at each stage of the analysis.Differences in methodological steps affect the overall outcome, making it difficult to compare results across studies.

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Development and validation of a machine learning-based fall-related injury risk prediction model using nationwide claims database in Korean community-dwelling older population

Abstract Background Falls impact over 25% of older adults Canvas Wall Art 3 annually, making fall prevention a critical public health focus.We aimed to develop and validate a machine learning-based prediction model for serious fall-related injuries (FRIs) among community-dwelling older adults, incorporating various medication factors.Methods Utiliz

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Ameloblastic Fibro-odontoma Case Report: Diagnostic Valuable Aid of CT Scan in Identification of Mineralized Component

Many lesions that occur in the jaw have a similar radiographical appearance and it is often difficult to differentiate among them.Despite development of various cross-sectional imaging modalities the radiograph still remains the first and the most important investigation.Radiographical evaluation of jaw lesion characteristics, which include locatio

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Suspension fertilisers based on alternative raw materials - the key to sustainability and closed nutrient cycles

The rapid, high increase in production costs and prices of mineral fertilizers leads to a reduction in their use by farmers, while fertilizer manufacturers consider the use of alternative raw materials and reducing the energy consumption of fertilizer production processes.Given these circumstances, special attention is warranted for suspension fert

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