Results 91 to 100 of about 14,132 (263)

Autonomous Behavior Selection For Self-driving Cars Using Probabilistic Logic Factored Markov Decision Processes

Applied Artificial Intelligence
We propose probabilistic logic factored Markov decision processes (PL-fMDPs) as a behavior selection scheme for self-driving cars. Probabilistic logic combines logic programming with probability theory to achieve clear, rule-based knowledge descriptions ...
Héctor Avilés, Marco Negrete, Alberto Reyes, Rubén Machucho, Karelly Rivera, Gloria de-la-Garza, Alberto Petrilli   +6 more
doaj   +1 more source

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 Fully Self‐Powered Digital Wearable System for the Auxiliary Treatment of Plantar Fasciitis

Advanced Science, EarlyView.
This study reports a system‐level fully self‐powered digital wearable system (FS‐DWS) for the auxiliary treatment of plantar fasciitis. By integrating arch support, energy harvesting, wearable sensing, and machine learning‐driven closed‐loop visualized feedback, the system enables effective plantar pressure reduction and self‐powered, real‐time plantar
Jiacheng Hou, Ying Hong, Shiyuan Liu, Qiqi Pan, Jingyu Zhang, Qingyang Xu, Qiyi Nie, Zhonghe Wang, Liming Xin, Yilong Wang, Biao Wang   +10 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

Probabilistic Description Logics [PDF]

, 1994
Appears in Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (UAI1994)
openaire   +2 more sources

Extreme Kinetic Stability and RNase Resistance of Human Telomerase RNA G‐Quadruplexes Overcome by DHX36 Helicase

Advanced Science, EarlyView.
The RNA G‐quadruplexes formed at the 5'‐end of the RNA component of human telomerase possess extreme slow unfolding rate, rendering them resistant to nuclease degradation. The helicase DHX36 overcame this kinetic barrier and significantly reduced the folded fraction.
Qun Luo, Yashuo Zhang, Yingxian Qian, Huiying Zhan, Wenqiang Wu, Huijuan You   +5 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

Magneto‐X Effects in Magnetic Soft Materials and Their Applications

Advanced Science, EarlyView.
This review systematically explores magnetic soft materials (MSMs), a novel class of composites that transform under magnetic fields. It catalogs fundamental “Magneto‐X” effects, classifies materials by their matrix and magnetic fillers, and highlights transformative applications in soft robotics, biomedical devices, flexible electronics, etc. Finally,
Ziyin Xiang, Xiangling Xia, Benjamin Ducharne, Yujie Ye, Jie Shang, Run‐Wei Li   +5 more
wiley   +1 more source

Tuning Li+ and Na+ Functionality in Renewable Carbon Electroactive Material Through Site‐Specific Nanostructural Disorder

Advanced Science, EarlyView.
This study presents a selective thermal transformation of polycarbonate into hybrid carbon materials. The structured carbon enhances electrochemical performance, particularly in lithium‐ion systems. Investigations reveal improved bimetallic ion diffusivity through the hybrid microstructure, contributing to excellent charge kinetics.
Montajar Sarkar, Rumana Hossain, Jian Peng, Dilan Kumara Thilakarathna, Yu Wang, Yin Yao, Neeraj Sharma, Veena Sahajwalla   +7 more
wiley   +1 more source

On complexity of veri¯cation of nondeterministic probabilistic multiagent systems

Моделирование и анализ информационных систем, 2010
Probabilistic systems of interacting nondeterministic intelligent agents are consid- ered. States of the agents in these systems are some probabilistic databases, and the activity of the agents is controlled by some probabilistic logic programs. Moreover,
M. K. Valiev, M. I. Dekhtyar
doaj