Results 31 to 40 of about 63,611 (263)

Prediction of annual rainfall pattern using Hidden Markov Model (HMM) in Jos, Plateau State, Nigeria

Journal of Applied Sciences and Environmental Management, 2016
A Hidden Markov Model (HMM) is a double stochastic process in which one of the stochastic processes is an underlying Markov chain, the other stochastic process is an observable stochastic process.
A Lawal, U.Y. Abubakar, H Danladi, A.S. Gana   +3 more
doaj   +1 more source

A Prion‐Like Domain in EBV EBNA1 Promotes Phase Separation and Enables SRRM1 Splicing

Advanced Science, EarlyView.
This study discoveries that EBV EBNA1 behaves as a prion‐like protein, verified using cell‐based assays and the Saccharomyces cerevisiae Sup35p prion identification system. The prion‐like domain of EBNA1 drives liquid–liquid phase separation. EBNA1 interacts with the splicing factor SRSF1 to regulate the expression of the SRRM1 splicing isoforms ...
Xiaoyue Zhang, Zhengshuo Li, Run Zheng, Xiang Zheng, Jia Wang, Can Liu, Yangge Wu, Yuqing Wen, Chunlin Ou, Songqing Fan, Chenxiao Xu, Junrui Tian, Qun Yan, Hao Nan, Xiaodong Xu, Hui Wang, Qiu Peng, Jian Ma   +17 more
wiley   +1 more source

The Gut Resistome Atlas in Preterm Infants Enables Prediction of Necrotizing Enterocolitis Onset

Advanced Science, EarlyView.
The gut resistome of preterm infants and its clinical relevance remain poorly understood. This study performs in‐depth integrative analyses of 5,684 gut metagenomes from preterm infants, uncovering distinct features that diverge from term infants. Notably, the gut resistome of preterm infants converges 9 days before necrotizing enterocolitis onset ...
Shuqin Zeng, Hua Wang, Li Zhang, Shiping Li, Yuan Yuan, Mengting Tian, Yi Qu, Junjie Ying, Meicen Zhou, Yong Hu, Jinglan Huang, Rong Zou, Fengyan Zhao, Xiaojuan Su, Qian Liu, Yan He, Jinxing Feng, Weimin Huang, Ying Luo, Zhemin Zhou, Wei Shen, Dezhi Mu, Shaopu Wang   +22 more
wiley   +1 more source

Intrusion detection method based on hierarchical hidden Markov model and variable-length semantic pattern

Tongxin xuebao, 2010
The defects of intrusion detection using fixed-length short system call sequences were analyzed. A method of extracting variable-length short system call sequences, grounded on the function return addresses stored in the process stacks, was proposed ...
DUAN Xue-tao1, JIA Chun-fu 1, LIU Chun-bo1   +2 more
doaj   +2 more sources

Microglial Deletion of Hrh4 Alleviates Alzheimer's Disease Pathologies by Enhancing Microglial Phagocytosis of Amyloid‐β and Tau

Advanced Science, EarlyView.
Histamine H4 receptor (H4R) antagonist VUF6002 mimics low‐dose X‐ray irradiation in aged Alzheimer's disease (AD) mice, enhancing microglial clearance of amyloid‐beta/hyperphosphorylated tau aggregates and restoring cognition. Microglial H4R deletion activates cAMP/TGF‐β1/Smad3 pathway, enhancing phagocytosis, while TGF‐β receptor 1 deletion abolishes ...
Yi‐Jun Xu, Tan Wu, Larry Tso‐Lun Lo, Chi‐Chiu Ko, Xin Wang, Chi Him Eddie Ma   +5 more
wiley   +1 more source

Super‐Resolution Compatible DNA Labeling Technique Reveals Chromatin Mobility and Organization Changes During Differentiation

Advanced Science, EarlyView.
A novel chromatin‐labeling probe is developed to investigate chromatin mobility during differentiation. The silicon rhodamine–conjugated dCTP is efficiently delivered into iPSCs and NSCs using a synthetic transporter. Super‐resolution microscopy and single‐particle tracking show decreased chromatin mobility during differentiation.
Maruthi K. Pabba, Miroslav Kuba, Tomáš Kraus, Kerem Celikay, Janis Meyer, Sunil Kumar Pradhan, Andreas Maiser, Hartmann Harz, Heinrich Leonhardt, Karl Rohr, Michal Hocek, M. Cristina Cardoso   +11 more
wiley   +1 more source

CLAE: A High‐Fidelity Nanopore Sequencing Strategy for Read‐Level Viral Variant Detection and Environmental RNA Virus Discovery

Advanced Science, EarlyView.
High‐fidelity Nanopore sequencing offers a cost‐effective, portable path to uncovering viral dark matter in complex environments—but suffers from severe read‐length bias, low throughput, and limited accuracy. This study traces these limitations to core biochemical barriers and introduces CLAE, a foundational high‐fidelity platform that enables accurate,
Hannah Yu, Sarah Golconda, Ga‐Eun Lee, Dantong Xue, Guillermo Domínguez‐Huerta, James M. Wainaina, Benjamin Bolduc, Shashanka Murthy, Shihyoung Kim, Seth Faith, Shan‐Lu Liu, Jiyoung Lee, Michael Oglesbee, Matthew B Sullivan, Sanggu Kim   +14 more
wiley   +1 more source

Using Hidden Markov Chains in Recognition of Vowel Letters in English Language [PDF]

المجلة العراقية للعلوم الاحصائية, 2006
This study deals with hidden Markov models . These models consist of sets of finite states , each one of them is associated with a probability distribution .
doaj   +1 more source

Big Data and AI‐Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition

Advanced Science, EarlyView.
This review summarizes the current landscape of big data and AI‐powered modeling in animal nutrition, covering techniques including intelligent data acquisition, data augmentation, explainable machine learning, heuristic algorithms, and life cycle assessment‐based sustainability evaluation.
Shuai Zhang, Changhua Lai, Jinbiao Zhao, Junjun Wang   +3 more
wiley   +1 more source

BROAD‐NESS Uncovers Dual‐Stream Mechanisms Underlying Predictive Coding in Auditory Memory Networks

Advanced Science, EarlyView.
BROADband Network Estimation via Source Space (BROAD‐NESS) is a flexible analytical pipeline for identifying large‐scale brain networks from event‐related, source‐reconstructed MEG data, with a focus on auditory predictive and memory processes. BROAD‐NESS integrates a suite of complementary tools, including PCA‐based decomposition, phase space, and ...
Leonardo Bonetti, Gemma Fernández‐Rubio, Mathias H. Andersen, Chiara Malvaso, Francesco Carlomagno, Claudia Testa, Peter Vuust, Morten L. Kringelbach, Mattia Rosso   +8 more
wiley   +1 more source