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Diagonal loading common spatial patterns with Pearson correlation coefficient based feature selection for efficient motor imagery classification.
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Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.
The conversion of a person's intentions into device commands through the use of brain-computer interface (BCI) is a feasible communication method for individuals with nervous system disorders. While common spatial pattern (CSP) is commonly used for feature extraction in BCIs, it has limitations. It is known for its susceptibility to noise and tendency to overfit.
View Article and Find Full Text PDFImpact of Imaging and Pharmacological Treatment Strategies in Refractory Ventricular Tachycardia in Critically Ill Patients: A Systematic Review.
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Medicine, Universidad Santiago de Cali, Cali, COL.
Ventricular tachycardia (VT) is a life-threatening arrhythmia often leading to sudden cardiac death, particularly in critically ill patients. Refractory VT, characterized by recurrent episodes requiring intervention, poses unique challenges for management, necessitating advanced diagnostic and therapeutic strategies. This systematic review evaluates the impact of imaging and pharmacological treatments in managing refractory VT in critically ill patients.
View Article and Find Full Text PDFSSATNet: Spectral-spatial attention transformer for hyperspectral corn image classification.
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School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China.
Hyperspectral images are rich in spectral and spatial information, providing a detailed and comprehensive description of objects, which makes hyperspectral image analysis technology essential in intelligent agriculture. With various corn seed varieties exhibiting significant internal structural differences, accurate classification is crucial for planting, monitoring, and consumption. However, due to the large volume and complex features of hyperspectral corn image data, existing methods often fall short in feature extraction and utilization, leading to low classification accuracy.
View Article and Find Full Text PDFDecoding the Molecular Basis of the Specificity of an Anti-sTn Antibody.
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UCIBIO-Applied Molecular Biosciences Unit, Department of Chemistry, NOVA School of Science and Technology, NOVA University Lisbon, 2829-516 Caparica, Portugal.
The mucin -glycan sialyl Tn antigen (sTn, Neu5Acα2-6GalNAcα1--Ser/Thr) is an antigen associated with different types of cancers, often linked with a higher risk of metastasis and poor prognosis. Despite efforts to develop anti-sTn antibodies with high specificity for diagnostics and immunotherapy, challenges in eliciting high-affinity antibodies for glycan structures have limited their effectiveness, leading to low titers and short protection durations. Experimental structural insights into anti-sTn antibody specificity are lacking, hindering their optimization for cancer cell recognition.
View Article and Find Full Text PDFNovel Pt (II) Complexes With Anticancer Activity Against Pancreatic Ductal Adenocarcinoma Cells.
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Department of Biological and Environmental Sciences and Technologies (DiSTeBA), University of Salento, Lecce, Via Monteroni I-73100, Italy.
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive type of solid tumor that is becoming more common. -[PtCl (NH)] (in short cisplatin or CDDP) has been shown to be effective in treating various cancers, including PDAC. However, the development of resistance to chemotherapy drugs has created a need for the synthesis of new anticancer agents.
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