Results 111 to 120 of about 84,699 (302)
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Deep Learning Techniques for Weed Detection in Agricultural Environments: A Comprehensive Review
Agriculture has been completely transformed by Deep Learning (DL) techniques, which allow for quick object localization and detection. However, because weeds and crops are similar in color, form, and texture, weed detection and categorization can be ...
Deepthi G Pai +2 more
doaj +1 more source
Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review [PDF]
Dementia is a condition that often comes with aging and affects how people think, remember, and behave. Diagnosing dementia early is important because it can greatly improve patients’ lives.
Ak, Murat +8 more
core +1 more source
Producing MSCs on rigid culture substrates induces a scar‐making phenotype, jeapordizing therapeutic success. ‘Tissue‐soft’ surfaces prevent MSC fibrogenesis and preserve regenerative traits. An epigenetic network, driven by HOXA11 and SALL1, maintains ‘soft memory’ by keeping chromatin open in relaxed MSCs, promoting anti‐fibrotic programs.
Fereshteh Sadat Younesi +7 more
wiley +1 more source
Personalized Network‐Guided Neuromodulation Enhances Human Working Memory
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan +13 more
wiley +1 more source
Deep learning predicts HER2 status in invasive breast cancer from multimodal ultrasound and MRI
The preoperative human epidermal growth factor receptor type 2 (HER2) status of breast cancer is typically determined by pathological examination of a core needle biopsy, which influences the efficacy of neoadjuvant chemotherapy (NAC).
Yuhong Fan +7 more
doaj +1 more source
Deep Learning and Security Workshop (DLS 2020) [PDF]
Nikolaos Vasiloglou +2 more
openaire +1 more source
A review on deep learning approaches to forecasting the changes of sea level [PDF]
The amalgamation of atmospheric elements indicates positive trends in sea level rise which has had a significant impact on nearly 60% of the world’s population living in the low elevated coastal area.
Nosius Luaran +3 more
core
We developed a nanoparticle named OAF, which simultaneously targeted to both the brain and liver via the transferrin receptor 1 (TfR1) receptor, promoting lipoprotein receptor‐related protein 1 (LRP1) expression to enhance amyloid‐beta (Aβ) clearance. In AD mice model, OAF significantly reduced Aβ deposition and cognitive impairment, while a mitigating
Wenshuai Gong +8 more
wiley +1 more source
ESCRT‐Mimetic Nanodegrader Targets STING for Anti‐Inflammatory Therapy
A nanoplatform‐enabled targeted protein degradation strategy is presented to regulate aberrant STING signaling. STING‐ATTEC induces selective autophagic degradation of STING via formation of a STING–ATTEC–LC3 ternary complex, while the cationic FA‐LNP+ system enhances LC3 generation and targeted delivery. Together, this synergistic approach efficiently
Fuyuan Zhou +9 more
wiley +1 more source

