This paper proposes a hybrid deep learning approach combining Bidirectional Long Short-Term Memory (BiLSTM) networks and an attention mechanism to extract sentiment and thematic content from literary texts.The model is designed to capture complex emotional nuances and themes in literature by processing text data from both forward and backward direc
Venous thromboembolism (VTE), encompassing deep vein thrombosis and pulmonary embolism, requires an immediate Bartschere anticoagulation, that has been carried out so far by administering a parenteral anticoagulant drug (heparin or derivatives) overlapped with an oral vitamin K antagonist (VKA), more often warfarin.Several new direct oral anticoagu
Abstract Background High-precision radiation therapy techniques such as IMRT or sterotactic radiosurgery, delivers more complex treatment fields than conventional techniques.The increased complexity causes longer dose delivery times for each fraction.The purpose of this work is to explore the radiobiologic effect of prolonged fraction delivery time
Photocatalytic CO2 reduction into hydrocarbon fuels is one of the most efficient processes since it serves Personal Care as a renewable energy source while also lowering atmospheric CO2 levels.The development of appropriate materials and technology to attain greater yield in CO2 photoreduction is one of the key issues facing the 21st century.This s