Results 191 to 200 of about 645,895 (266)

Cerebellar Transcranial Alternating Current Stimulation in the Theta Band Prevents Recall of the Initial Fear Association After Extinction Training. [PDF]

Hum Brain Mapp
Batsikadze G, Spisak Z, Zeidan P, Klein M, Nio E, Ernst TM, Diekmann N, Göricke S, Cheng S, Merz CJ, Yavari F, Nitsche MA, Thieme A, Timmann D.   +13 more
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Single-model deep learning approach for simultaneous cervical vertebral maturation staging and skeletal jaw relationship on lateral cephalograms using YOLOv8 and CNN. [PDF]

BMC Oral Health
Alotaibi NM, Kamel AM, Khalil AT, Hammad SM.   +3 more
europepmc   +1 more source

Senescent Cell Derived Artificial Vesicle‐Based Senolytic Sonovaccine Platform with Augmented Lymph Node Delivery and Antigen Cross‐Presentation Efficacy

Advanced Science, EarlyView.
A senolytic sonovaccine platform (SenoVac) is developed, in which senescent cell‐derived vesicles serve as broad senescent cell antigen reservior. The “2‐step” click chemistry strategy for effective lymph node delivery, and ultrasound‐triggered endosomal escape to boost cross‐presentation, ensures efficient senescent cell clearance and disease ...
Liang Zhang, Yubo Lai, Jia Wang, Lingling Liu, Jieyuan An, Mi Qu, Yuan Liang, Bijun Tan, Guodong Yang, Xuekang Yang, Lijun Yuan   +10 more
wiley   +1 more source

Medial temporal lobe lesions reduce visual working memory precision. [PDF]

Brain
Choo Y, Thakurdesai SP, Qadri A, Fruchet OE, Jackson SN, Chatterjee R, Inati SK, Zaghloul KA, Xie W.   +8 more
europepmc   +1 more source

PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes

Advanced Science, EarlyView.
A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li, Qizhe Zhang, Hanchen Chen, Kepeng Lin, Chengfang Luo, Mengying Yang, Wei Xu, Fan Yao, Jianbing Yan, Qing‐Yong Yang, Xuehai Hu   +10 more
wiley   +1 more source

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

Advanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen, Guancen Lin, Chuan‐Shen Hu, Yong Wang   +3 more
wiley   +1 more source

DSE-YOLO11: Dynamic feature adaptation for key traffic element detection in complex road scenes. [PDF]

PLoS One
Chen Y, Guo B, Bassir D, Sigama A, Zhang Y.   +4 more
europepmc   +1 more source

stMixer for Scalable Mosaic Integration and Label Transfer in Spatial Histology and Multi‐Omics

Advanced Science, EarlyView.
stMixer is an unsupervised framework for scalable integration and label transfer across spatial histology and multi‐slide multi‐omics data with incomplete modality overlap. It combines self‐looped cross‐attention, multimodal metric learning, and graph‐guided cluster voting to align heterogeneous sections, correct batch effects, and propagate ...
Qixing Yang, Yan Wang, Luonan Chen, Chunman Zuo   +3 more
wiley   +1 more source

Computer-aided detection of equivocal spinal tuberculosis on X-ray using a YOLOv11-based deep learning model. [PDF]

Front Public Health
Yuan Y, Ma J, Ma H, Zhang M, Qiu X, Shen L, Ren Z, Wang J, Abulizi A, Hu W, Nijiati M.   +10 more
europepmc   +1 more source