Early identification and treatment of stroke can greatly improve patient outcomes and quality of life.Although clinical tests such as the Cincinnati Pre-hospital Stroke Scale(CPSS)and the Face Arm Speech Test(FAST)are...Early identification and treatment of stroke can greatly improve patient outcomes and quality of life.Although clinical tests such as the Cincinnati Pre-hospital Stroke Scale(CPSS)and the Face Arm Speech Test(FAST)are commonly used for stroke screening,accurate administration is dependent on specialized training.In this study,we proposed a novel multimodal deep learning approach,based on the FAST,for assessing suspected stroke patients exhibiting symptoms such as limb weakness,facial paresis,and speech disorders in acute settings.We collected a dataset comprising videos and audio recordings of emergency room patients performing designated limb movements,facial expressions,and speech tests based on the FAST.We compared the constructed deep learning model,which was designed to process multi-modal datasets,with six prior models that achieved good action classification performance,including the I3D,SlowFast,X3D,TPN,TimeSformer,and MViT.We found that the findings of our deep learning model had a higher clinical value compared with the other approaches.Moreover,the multi-modal model outperformed its single-module variants,highlighting the benefit of utilizing multiple types of patient data,such as action videos and speech audio.These results indicate that a multi-modal deep learning model combined with the FAST could greatly improve the accuracy and sensitivity of early stroke identification of stroke,thus providing a practical and powerful tool for assessing stroke patients in an emergency clinical setting.展开更多
Films with excellent mechanical and activity have potential application in food preservation.Active films were prepared by blending Konjac glucomannan/Pullulan/Microcrystalline cellulose and Tea polyphenols.The effect...Films with excellent mechanical and activity have potential application in food preservation.Active films were prepared by blending Konjac glucomannan/Pullulan/Microcrystalline cellulose and Tea polyphenols.The effect of different content of MCC(0%-20%),and different treatment methods of film-preparing process,including ultrasonic or magnetic stirring on rheological properties,physicochemical,morphological characteristics,antioxidant and antibacterial were explored.Results suggested that ultrasound lowered the viscosity of film-solution,while adding MCC increased the water vapor permeability(WVP)and haze degree of films.Incorporating of optimal content of MCC(10%-15%),and treated by ultrasound could further increased the tensile strength(TS),U-10%film showed the highest TS(117.61 MPa),ultrasound could make the evenly disperses MCC in film-matrix by SEM.Additionally,films with TP presented excellent antioxidant activities and antibacterial activities against S.aureus and E.coli.Finally,the active films effectively preserved Agaricus bisporus and strawberries.Overall,the active films have potential applications in food packaging.展开更多
基金supported by the Ministry of Science and Technology of China,No.2020AAA0109605(to XL)Meizhou Major Scientific and Technological Innovation PlatformsProjects of Guangdong Provincial Science & Technology Plan Projects,No.2019A0102005(to HW).
文摘Early identification and treatment of stroke can greatly improve patient outcomes and quality of life.Although clinical tests such as the Cincinnati Pre-hospital Stroke Scale(CPSS)and the Face Arm Speech Test(FAST)are commonly used for stroke screening,accurate administration is dependent on specialized training.In this study,we proposed a novel multimodal deep learning approach,based on the FAST,for assessing suspected stroke patients exhibiting symptoms such as limb weakness,facial paresis,and speech disorders in acute settings.We collected a dataset comprising videos and audio recordings of emergency room patients performing designated limb movements,facial expressions,and speech tests based on the FAST.We compared the constructed deep learning model,which was designed to process multi-modal datasets,with six prior models that achieved good action classification performance,including the I3D,SlowFast,X3D,TPN,TimeSformer,and MViT.We found that the findings of our deep learning model had a higher clinical value compared with the other approaches.Moreover,the multi-modal model outperformed its single-module variants,highlighting the benefit of utilizing multiple types of patient data,such as action videos and speech audio.These results indicate that a multi-modal deep learning model combined with the FAST could greatly improve the accuracy and sensitivity of early stroke identification of stroke,thus providing a practical and powerful tool for assessing stroke patients in an emergency clinical setting.
基金supported by the Yaan Science and Technology Program Project(2021)the Cooperation Project of Lushan County and Sichuan Agricultural University(2019),National College Students Innovation and Entrepreneurship Training Program(CN)(202110626030).
文摘Films with excellent mechanical and activity have potential application in food preservation.Active films were prepared by blending Konjac glucomannan/Pullulan/Microcrystalline cellulose and Tea polyphenols.The effect of different content of MCC(0%-20%),and different treatment methods of film-preparing process,including ultrasonic or magnetic stirring on rheological properties,physicochemical,morphological characteristics,antioxidant and antibacterial were explored.Results suggested that ultrasound lowered the viscosity of film-solution,while adding MCC increased the water vapor permeability(WVP)and haze degree of films.Incorporating of optimal content of MCC(10%-15%),and treated by ultrasound could further increased the tensile strength(TS),U-10%film showed the highest TS(117.61 MPa),ultrasound could make the evenly disperses MCC in film-matrix by SEM.Additionally,films with TP presented excellent antioxidant activities and antibacterial activities against S.aureus and E.coli.Finally,the active films effectively preserved Agaricus bisporus and strawberries.Overall,the active films have potential applications in food packaging.
