Hierarchical processing of sensory information requires interaction at multiple levels along the peripheral to central pathway.Recent evidence suggests that interaction between driving and modulating components can shape both top down and bottom up processing of sensory information.Here we show that a component inherited from extrinsic sources comb
Tetrandrine synergizes with MAPK inhibitors in treating KRAS-mutant pancreatic ductal adenocarcinoma via collaboratively modulating the TRAIL-death receptor axis
Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive and lethal malignancies lacking effective therapies.KRAS mutations that occur in over 90% of PDAC are major oncogenic drivers of PDAC.The MAPK signaling pathway plays a central role in KRAS-driven oncogenic signaling.However, pharmacological inhibitors of the MAPK pathway are poo
Information Security Risk Management Web-Based Final Semester Summative Assessment Application Using ISO 27001:2013
Education is often understood as more than just teaching, but as the transfer of knowledge, transformation of values, and development of character with all related aspects.Digitalization of the need for information and communication technology is increasing to facilitate access to information systems.This research was conducted at SMAN 12 Bandung w
The Rhetoric of Krishna versus the Counter-Rhetoric of Vyas: The Place of Commiseration in the Mahabharat
In the context of the mixed perception among scholars whether the Mahabharat is a pacifist or a militant text, this paper analyzes the rhetorical project of the epic to examine its position on violence.Highlighting the existence of two main arguments in the Mahabharat, this paper argues that the author has crafted a grand rhetorical project to ques
A Multi-Scale CNN for Transfer Learning in sEMG-Based Hand Gesture Recognition for Prosthetic Devices
Advancements in neural network approaches have enhanced the effectiveness of surface Electromyography (sEMG)-based hand gesture recognition when measuring muscle activity.However, current deep learning architectures struggle to achieve good generalization and robustness, often demanding significant computational resources.The goal of this paper was