Results 81 to 90 of about 17,882 (265)

Persistently Increased Expression of PKMzeta and Unbiased Gene Expression Profiles Identify Hippocampal Molecular Traces of a Long‐Term Active Place Avoidance Memory and “Shadow” Proteins

Advanced Science, EarlyView.
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han, Alejandro Grau‐Perales, Rayna M. Harris, Edith Lesburguères, Hsin‐Yi Kao, Asit Pal, Juan Marcos Alarcon, Todd C. Sacktor, Stefano Martiniani, Hans A. Hofmann, André A. Fenton   +10 more
wiley   +1 more source

A NOVEL ALGORITHM FOR ASSOCIATION RULE MINING FROM DATA WITH INCOMPLETE AND MISSING VALUES [PDF]

ICTACT Journal on Soft Computing, 2011
Missing values and incomplete data are a natural phenomenon in real datasets. If the association rules mine incomplete disregard of missing values, mistaken rules are derived.
K. Rameshkumar
doaj  

An Incremental High-Utility Mining Algorithm with Transaction Insertion

The Scientific World Journal, 2015
Association-rule mining is commonly used to discover useful and meaningful patterns from a very large database. It only considers the occurrence frequencies of items to reveal the relationships among itemsets.
Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Binbin Zhang   +3 more
doaj   +1 more source

Mapping CSC‐Mediated Ovarian Cancer Chemoresistance via CXCR4‐PET to Guide Precision Cisplatin Re‐Sensitization Therapy

Advanced Science, EarlyView.
CXCR4 functions as a potential cancer stem cell‐associated marker linked to chemoresistance in ovarian cancer, and an inhibitor of CXCR4, AMD3100, can enhance the cytotoxic response to cisplatin. Based on these findings, [68Ga]Ga‐Pentixafor positron emission tomography enables selective visualization of CXCR4‐high ovarian cancer, while AMD3100 combined
Lixia Feng, Simei Zhao, Zheng Wei, Wenwen Wang, Feiquan Ying, Lin Huang, Mengna Zhu, Mengqing Chen, Qiang Yang, Si Sun, Dawei Jiang, Lingling Gao, Jing Cai   +12 more
wiley   +1 more source

Comorbidity Study of Attention-deficit Hyperactivity Disorder (ADHD) in Children: Applying Association Rule Mining (ARM) to Korean National Health Insurance Data

Iranian Journal of Public Health, 2018
Background: The aim of this study was to explore the comorbidity of Attention-Deficit Hyperactivity Disorder (ADHD) for the Korean national health insurance data (NHID) by using association rule mining (ARM).
Leejin KIM, Sungmin MYOUNG
doaj  

Mining Non-Derivable Association Rules [PDF]

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005
GOETHALS, Bart, Muhonen, Juho, Toivonen, H.   +2 more
openaire   +3 more sources

Metarhizium anisopliae Mitigates the Phytotoxicity of Lead and Nanoplastics on Rice by Modifying Physiological, Transcriptomic, Metabolomic Activities, and Soil Microbiome

Advanced Science, EarlyView.
Metarhizium anisopliae alleviates the phytotoxic effects of polyethylene nanoplastics (NP) and lead (Pb) in rice by decreasing Pb uptake, restoring antioxidant and hormonal equilibrium, and promoting growth. Additionally, the fungus modifies the rhizosphere microbiota, enhancing both contaminant tolerance and plant growth, thereby effectively ...
Jing Peng, Qi Yan, Muhammad Umair Hassan, Muhammad Imran, Fasih Ullah Haider, Jianfeng Liang, Xingmin Wang, Shaukat Ali   +7 more
wiley   +1 more source

Heterostructure‐Engineered Conductive MOFs Coupled with MoSe2@MXene Framework for Efficient and Selective Lithium Extraction from Salt Lake Brine via Capacitive Deionization

Advanced Science, EarlyView.
This schematic illustrates a capacitive deionization (CDI) system for the selective extraction of lithium from salt‐lake brine. The system employs a cathode fabricated from the Fe‐THBQ@MoSe2@MXene composite alongside an activated carbon (AC) anode. Upon applied voltage, the cathode demonstrates high efficiency in capturing Li+ ions while effectively ...
Pengze Li, Xiaodan Chong, Yutong Guo, Guangrun Wu, Shanshan Wang, Ruixue Liu, Jiamiao Ma, Yu Wang, Wenqiang Chen, Yanmeng Cai, Yaoyao Wang, Qing Yuan, Jinsheng Zhao   +12 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source