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AI Designed Conformation Locking Peptides Target STING to Restore Diabetic Wound Healing

Advanced Science, EarlyView.
A generative AI pipeline identifies SCP‐1, a conformation‐locking peptide that stabilizes inactive STING. Incorporated into a dual‐responsive hydrogel for localized, MMP‐9‐triggered release, SCP‐1 suppresses inflammation, promotes reparative macrophage polarization, and accelerates diabetic wound healing.
Xinyu Li, Haojie Fu, Zhe Wang, Xuanzhou Chen, Ruhong Zhang, Xudong Wang, Louis D. Zhang, Xiang Li, Datao Li   +8 more
wiley   +1 more source

Mono- and Polyauxic Growth Kinetics: A Semi-Mechanistic Framework for Complex Biological Dynamics. [PDF]

Bull Math Biol
Mockaitis G.
europepmc   +1 more source

AudioUnlock: Device-to-Device Authentication via Acoustic Signatures and One-Class Classifiers. [PDF]

Sensors (Basel)
Anistoroaei A, Iosif P, Burlacu C, Berdich A, Groza B.   +4 more
europepmc   +1 more source

Research on a Miniaturized Digital Servo System for Passive Hydrogen Masers. [PDF]

Sensors (Basel)
Guo S, Cao M, Chen P, Shuai T, Hu W, Pei Y.   +5 more
europepmc   +1 more source

A fault-tolerant sins/dual 2D-LDV tightly coupled integration scheme for autonomous vehicle navigation. [PDF]

Sci Rep
Xiang Z, Wang Q, Jin S, Nie X, Zhou J.
europepmc   +1 more source

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Combination of Local Outlier Factor and Winsorization for Clustering Outlier in Medical Records

2023 11th International Conference on Information and Communication Technology (ICoICT), 2023
In medical records, the doctors need to stay updated about the condition of their patients, but it would make a problem for the medical records. The medical records would be inconsistent due to changes in information regarding the result of examinations ...
Gohan Bonar Pinio Sinaga, Erna Budhiarti Nababan, H. Mawengkang   +2 more
semanticscholar   +2 more sources

Autonomous Recursive Local Outlier Factor (ARLOFF)

2025 6th International Conference on Artificial Intelligence and Data Sciences (AiDAS)
This paper introduces the Autonomous Recursive Local Outlier Factor (ARLOFF), an outlier detection method that operates without requiring any user-defined parameters.
Muhammad Yunus Iqbal Basheer, Azliza Mohd Ali, Sharifalillah Nordin, Nurzeatul Hamimah Abdul Hamid   +3 more
semanticscholar   +2 more sources

Text-Defend: Detecting Adversarial Examples using Local Outlier Factor

2023 IEEE 17th International Conference on Semantic Computing (ICSC), 2023
The problem of generating adversarial examples for text has been studied extensively; however, the detection of adversarial examples is largely underexplored.
Marwan Omar, G. Sukthankar
semanticscholar   +2 more sources

Outlier detection using isolation forest and local outlier factor

Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2019
Outlier detection, also named as anomaly detection, is one of the hot issues in the field of data mining. As well-known outlier detection algorithms, Isolation Forest(iForest) and Local Outlier Factor(LOF) have been widely used.
Zhangyu Cheng, Chengming Zou, Jianwei Dong   +2 more
semanticscholar   +2 more sources