Herein, the impact of using dried Caulerpa prolifera nanoparticles and silica-coated Caulerpa prolifera nanoparticles for the removal of phenol from aqueous solution has been investigated. The chemical structure and morphology of both dried Caulerpa prolifera nanoparticles and silica-coated Caulerpa prolifera nanoparticles were characterized by…[Read more]

Herein, the impact of using dried Caulerpa prolifera nanoparticles and silica-coated Caulerpa prolifera nanoparticles for the removal of phenol from aqueous solution has been investigated. The chemical structure and morphology of both dried Caulerpa prolifera nanoparticles and silica-coated Caulerpa prolifera nanoparticles were characterized by…[Read more]

Herein, the impact of using dried Caulerpa prolifera nanoparticles and silica-coated Caulerpa prolifera nanoparticles for the removal of phenol from aqueous solution has been investigated. The chemical structure and morphology of both dried Caulerpa prolifera nanoparticles and silica-coated Caulerpa prolifera nanoparticles were characterized by…[Read more]

Herein, the impact of using dried Caulerpa prolifera nanoparticles and silica-coated Caulerpa prolifera nanoparticles for the removal of phenol from aqueous solution has been investigated. The chemical structure and morphology of both dried Caulerpa prolifera nanoparticles and silica-coated Caulerpa prolifera nanoparticles were characterized by…[Read more]

The proposed approach uses convolutional neural networks to localize multiple actions and predict their classes in real time. This approach starts by using appearance and motion detection networks (known as “you only look once” (YOLO) networks) to localize and classify actions from RGB frames and optical flow frames using a two-stream model. We…[Read more]

The proposed approach uses convolutional neural networks to localize multiple actions and predict their classes in real time. This approach starts by using appearance and motion detection networks (known as “you only look once” (YOLO) networks) to localize and classify actions from RGB frames and optical flow frames using a two-stream model. We…[Read more]

The proposed approach uses convolutional neural networks to localize multiple actions and predict their classes in real time. This approach starts by using appearance and motion detection networks (known as “you only look once” (YOLO) networks) to localize and classify actions from RGB frames and optical flow frames using a two-stream model. We…[Read more]

The proposed approach uses convolutional neural networks to localize multiple actions and predict their classes in real time. This approach starts by using appearance and motion detection networks (known as “you only look once” (YOLO) networks) to localize and classify actions from RGB frames and optical flow frames using a two-stream model. We…[Read more]

Objective The importance of circular RNAs in malignant tumors causes more attention in researchers. Circular RNA_LARP4 is identified as a tumor suppressor in gastric cancer, but the role of circular RNA_LARP4 in prostate cancer (PCa) remains unclear. Our work aims to uncover whether and how circular RNA_LARP4 functions in the PCa development.…[Read more]

Objective The importance of circular RNAs in malignant tumors causes more attention in researchers. Circular RNA_LARP4 is identified as a tumor suppressor in gastric cancer, but the role of circular RNA_LARP4 in prostate cancer (PCa) remains unclear. Our work aims to uncover whether and how circular RNA_LARP4 functions in the PCa development.…[Read more]

Objective The importance of circular RNAs in malignant tumors causes more attention in researchers. Circular RNA_LARP4 is identified as a tumor suppressor in gastric cancer, but the role of circular RNA_LARP4 in prostate cancer (PCa) remains unclear. Our work aims to uncover whether and how circular RNA_LARP4 functions in the PCa development.…[Read more]

Objective The importance of circular RNAs in malignant tumors causes more attention in researchers. Circular RNA_LARP4 is identified as a tumor suppressor in gastric cancer, but the role of circular RNA_LARP4 in prostate cancer (PCa) remains unclear. Our work aims to uncover whether and how circular RNA_LARP4 functions in the PCa development.…[Read more]

Glycoprotein VI (GPVI), a platelet collagen receptor, is crucial in mediating atherothrombosis. Besides collagen, injured plaques expose tissue factor (TF) that triggers fibrin formation. Previous studies reported that GPVI also is a platelet receptor for fibrinogen and fibrin. We studied the effect of anti-GPVI antibodies and inhibitors of GPVI…[Read more]

Glycoprotein VI (GPVI), a platelet collagen receptor, is crucial in mediating atherothrombosis. Besides collagen, injured plaques expose tissue factor (TF) that triggers fibrin formation. Previous studies reported that GPVI also is a platelet receptor for fibrinogen and fibrin. We studied the effect of anti-GPVI antibodies and inhibitors of GPVI…[Read more]

Glycoprotein VI (GPVI), a platelet collagen receptor, is crucial in mediating atherothrombosis. Besides collagen, injured plaques expose tissue factor (TF) that triggers fibrin formation. Previous studies reported that GPVI also is a platelet receptor for fibrinogen and fibrin. We studied the effect of anti-GPVI antibodies and inhibitors of GPVI…[Read more]

Glycoprotein VI (GPVI), a platelet collagen receptor, is crucial in mediating atherothrombosis. Besides collagen, injured plaques expose tissue factor (TF) that triggers fibrin formation. Previous studies reported that GPVI also is a platelet receptor for fibrinogen and fibrin. We studied the effect of anti-GPVI antibodies and inhibitors of GPVI…[Read more]