Results 81 to 90 of about 354,697 (265)

An Adaptive Task Difficulty Model for Personalized Reading Comprehension in AI-Based Learning Systems

Algorithms
This article proposes an interpretable adaptive control model for dynamically regulating task difficulty in Artificial intelligence (AI)-augmented reading-comprehension learning systems.
Aray M. Kassenkhan, Mateus Mendes, Akbayan Bekarystankyzy   +2 more
doaj   +1 more source

Methods to Classify, Forewarn and Pre-control Routine Operation in Hazardous Liquid Chemical Storage and Transportation Port

Chemical Engineering Transactions, 2017
In light of the actual operation and risk characteristics of hazardous liquid chemical storage and transportation port, we identified the division of eight types of routine operations in this paper.
Zhu Zeng, Gongzhong Wang
doaj   +1 more source

Nutrient/TOR signaling controls adipose mitochondrial transcription factor A (TFAM) to regulate organismal growth in Drosophila

FEBS Letters, EarlyView.
Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas, Shahoon Khan, Abhishek Sharma, Byoungchun Lee, Savraj S. Grewal   +4 more
wiley   +1 more source

Koopman Operator-Based Integral Reinforcement Learning for H_∞ Tracking Control of Nonlinear Systems

IEEE Access
This paper presents a novel data-driven control framework that integrates integral reinforcement learning (IRL) with $H_{\infty } $ robust control theory for tracking control of nonlinear dynamical systems.
Muthu Logesh Shanmugam, Prakash Mani
doaj   +1 more source

Cancer control through principles of systems science, complexity, and chaos theory: A model [PDF]

International Journal of Medical Sciences, 2007
Cancer is a significant medical and societal problem. This reality arises from the fact that an exponential and an unrestricted cellular growth destabilizes human body as a system. From this perspective, cancer is a manifestation of a system-in-failing.A model of normal and abnormal cell cycle oscillations has been developed incorporating systems ...
openaire   +3 more sources

Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics

FEBS Letters, EarlyView.
Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt, Ana‐Maria Sandru, Georg Vucak, Sebastian Didusch, Biljana Riemelmoser, Karin Ehrenreiter, Markus Hartl, Lukas A. Huber, Manuela Baccarini   +8 more
wiley   +1 more source

Golgi enzymes are retrieved from the plasma membrane to the trans‐Golgi network

FEBS Letters, EarlyView.
Golgi enzymes are traditionally considered resident proteins retained within the Golgi apparatus. Here, we demonstrate that a subset transiently reaches the cell surface and is subsequently retrieved to the trans‐Golgi network via retrograde transport. Using a nanobody‐based toolkit, we uncover a dynamic trafficking cycle of several Golgi enzymes.
Dominik P. Buser, Tina Junne
wiley   +1 more source

Partial depletion of plasminogen activator inhibitor‐1 decreases subcutaneous fat cell hypertrophy and liver cholesterol in high‐fat‐fed female mice

FEBS Letters, EarlyView.
Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante, Robert Sharp, Pradip K. Saha, Elizabeth S. Anaya, Elizabeth L. Lieu, Evelyn L. de Groot, Pooja Patel, Mi Jeong Heo, Aaron R. Cox, Kang Ho Kim, Sean M. Hartig   +10 more
wiley   +1 more source

Research of theoretical basis of implementation of intelligent control systems for locomotive traction transmission

Збірник наукових праць Державного університету інфраструктури та технологій: серія "Транспортні системи і технології"
The paper presents an analysis of existing automated control systems based on artificial intelligence theory. These systems employ methods such as fuzzy logic, artificial neural networks, and genetic algorithms.
Oleksandr Gorobchenko, Denys Zaika, Sergiy Maliuk, Oleksandr Arkhypov, Oleksandr Nevedrov   +4 more
doaj  

Use of stochastic control theory to model a forest management system

Applied Mathematical Modelling, 1985
A forest management problem due to \textit{O. Hellman} [Eur. J. Oper. Res. 4, 16-18 (1979; Zbl 0418.90059)] has been modelled as a stochastic control problem with one state variable (inventory level) and one control variable (consumption rate of wood by the factories). The stochastic process governing the evolution of the inventory level is transformed
openaire   +2 more sources