Results 91 to 100 of about 11,885,392 (298)
Extreme-Long-short term memory for Time-series Prediction
This thesis introduces a novel neural network, the Extreme Long Short-Term Memory (E-LSTM), combine the advantages of Long Short-Term Memory (LSTM) networks and Extreme Learning Machines (ELM).
Sida Xing (4180396)
core
Temporal information processing in short- and long-term memory of patients with schizophrenia [PDF]
Cognitive deficits of patients with schizophrenia have been largely recognized as core symptoms of the disorder. One neglected factor that contributes to these deficits is the comprehension of time.
Krueger Frank +17 more
core +1 more source
Yeast Gcn2 retains activity following humanization of its auto‐phosphorylation region
Using Saccharomyces cerevisiae as a model to study Gcn2 activation and regulation is limited by the lack of antibodies detecting phosphorylated Gcn2. To overcome this, we engineered Gcn2‐HsC, a yeast Gcn2 variant recognizable by commercial anti‐human phospho‐GCN2 antibodies.
Reuben A. Anderson +2 more
wiley +1 more source
Short-term and working memory in children with specific language impairment [PDF]
Investigations of the cognitive processes underlying Specific Language Impairment (SLI) have implicated deficits in the storage and processing of phonological or verbal information.
Archibald, Lisa M. D.
core
BCG vaccination potentiates oxidative phosphorylation in neonatal myeloid‐derived suppressor cells
BCG vaccination enhances oxidative phosphorylation in neonatal MDSCs, impairing their immunosuppressive function. It upregulates electron transport chain genes and mitochondrial activity, increasing ATP and oxygen consumption. Pharmacological OXPHOS inhibition partially restores suppressive capacity, confirming causality.
Yingying Chen, Hui Li
wiley +1 more source
ILSTMA: Enhancing Accuracy and Speed of Long-Term and Short-Term Memory Architecture
In recent years, the rapid development of large language models (LLMs) has led to a growing consensus in the industry regarding the integration of long-term and short-term memory.
Zongyu Ming, Zimu Wu, Genlang Chen
doaj +1 more source
On the Initialization of Long Short-Term Memory Networks [PDF]
Weight initialization is important for faster convergence and stability of deep neural networks training. In this paper, a robust initialization method is developed to address the training instability in long short-term memory (LSTM) networks. It is based on a normalized random initialization of the network weights that aims at preserving the variance ...
Mostafa Mehdipour-Ghazi +6 more
openaire +3 more sources
This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court +3 more
wiley +1 more source
Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source
Cancer treatment is associated with measurable acceleration of biological aging across epigenetic, telomere, senescence, and immune biomarkers. However, biomarker validation and interventional strategies remain limited, especially in hematologic malignancies, underscoring the need for standardized multi‐omic aging assessments and adequately powered ...
Moataz Ellithi +3 more
wiley +1 more source

