A fusion of deep neural networks and game theory for retinal disease diagnosis with OCT images.

Retinal disorders pose a serious threat to world healthcare because they frequently result in visual loss or impairment. For retinal disorders to be diagnosed precisely, treated individually, and detected early, deep learning is a necessary subset of artificial intelligence. This paper provides a complete approach to improve the accuracy and reliability of retinal disease identification using images from OCT (Retinal Optical Coherence Tomography).

Multimodal sentiment analysis leveraging the strength of deep neural networks enhanced by the XGBoost classifier.

Multimodal sentiment analysis, an increasingly vital task in the realms of natural language processing and machine learning, addresses the nuanced understanding of emotions and sentiments expressed across diverse data sources. This study presents the Hybrid LXGB (Long short-term memory Extreme Gradient Boosting) Model, a novel approach for multimodal sentiment analysis that merges the strengths of long short-term memory (LSTM) and XGBoost classifiers. The primary objective is to address the intricate task of understanding emotions across diverse data sources, such as textual data, images, and audio cues.

Physico-chemical and tribological properties of commercial oil - bio-lubricant mixtures dispersed with graphene nanoplatelets.

This study focuses on the physicochemical and tribological properties of bio-lubricants and commercial lubricant blends dispersed with graphene nanoplatelets. In the processing of the bio lubricant, special care was taken to ensure that the physicochemical properties do not deteriorate too much when the bio lubricant is blended with commercial oil. (Tamanu tree) seed oil was used to prepare a penta-erythritol (PE) ester.

Risk-adapted chemoimmunotherapy using brentuximab vedotin and rituximab in children, adolescents, and young adults with newly diagnosed Hodgkin's lymphoma: a phase II, non-randomized controlled trial.

Background: Cure rates for Hodgkin's lymphoma are excellent, but excess short-term and long-term morbidities from treatment remain a concern. Immunotherapy targeting both tumor antigens and the immunosuppressive tumor microenvironment in children, adolescents, and young adults with Hodgkin's lymphoma may improve early response rates and eliminate toxic chemotherapy and radiation, thus minimizing toxicity. We conducted a phase II study to evaluate the safety and overall response rate of brentuximab vedotin and rituximab in combination with risk-adapted chemotherapy in children, adolescents, and young adults with newly diagnosed classic Hodgkin's lymphoma (cHL).