Results 221 to 230 of about 73,803 (311)

Estimating childhood tuberculosis incidence and under-reporting in Gedeo Zone, Ethiopia: a Bayesian hidden Markov model. [PDF]

IJID Reg
Tesfaye SH, Mulat Tebeje T, Sisay D, Belete M, Kifle Y, Feleke A, Meno A.   +6 more
europepmc   +1 more source

A new catfish species of Microcambeva Costa & Bockmann, 1994 (Siluriformes: Trichomycteridae) from southern Brazil, with a redescription of M. ribeirae Costa, Lima & Bizerril, 2004

Journal of Fish Biology, EarlyView.
Abstract Among the few species of Microcambeva reported as occurring in more than one hydrographic basin, M. ribeirae has been previously listed from both the Ribeira de Iguape and the Guaraqueçaba basins. However, morphological and molecular analyses revealed that the specimens from Guaraqueçaba represent a new species, which is described in this ...
Lucas S. de Medeiros, Igor C. A. Souto‐Santos, Paulo A. Buckup, Juliano Ferrer, Vinicius J. C. Reis, Mario de Pinna, Sergio M. Q. Lima   +6 more
wiley   +1 more source

Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach. [PDF]

Transl Psychiatry
Zhang X, Yang L, Lu J, Yuan Y, Li D, Zhang H, Yao R, Xiang J, Wang B.   +8 more
europepmc   +1 more source

Integrative taxonomy reveals two new species of whiptail catfishes Loricaria (Siluriformes: Loricariidae) from northeastern Brazil

Journal of Fish Biology, EarlyView.
Abstract Two new species of whiptail catfish, Loricaria (Siluriformes: Loricariidae), were discovered in the Munim and Itapecuru river basins, Maranhão State, northeastern Brazil, through an integrative taxonomic approach combining morphology and mitochondrial DNA.
Ananda. C. Serejo‐Saraiva, Nivaldo M. Piorski, Felipe P. Ottoni, Mark H. Sabaj, Sergio M. Q. Lima   +4 more
wiley   +1 more source

CHMMConvScaleNet: a hybrid convolutional neural network and continuous hidden Markov model with multi-scale features for sleep posture detection. [PDF]

Sci Rep
Hu D, Gao W, Ang KK, Hu M, Huang R, Chuai G, Li X.   +6 more
europepmc   +1 more source

Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation

Journal of Integrative Plant Biology, EarlyView.
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu, Shouzhi Zheng, Longjiang Fan, Xiaoming Zheng, Qian Qian   +4 more
wiley   +1 more source

Hidden Markov Model-Based Prokaryotic Genome Space Mining Reveals the Widespread Pervasiveness of Complex I and Its Potential Evolutionary Scheme. [PDF]

Genome Biol Evol
Shirsath A, Khairnar SV, Anand A, Prabhakaran DM, Anand A.   +4 more
europepmc   +1 more source

FcMAPK4‐phosphorylated FcNOR activates FcERF5 to promote fig fruit softening through activation of FcPG12 expression

Journal of Integrative Plant Biology, EarlyView.
In Ficus carica fruit, the MAP kinase FcMAPK4 phosphorylates the NAC transcription factor FcNOR, which cooperates with ethylene response factor FcERF5 to activate the pectin degradation gene FcPG12, thereby promoting rapid softening of fig fruit. ABSTRACT Rapid softening of fig (Ficus carica L.) fruit during ripening leads to extremely short shelf life;
Yuan Wang, Zhiyi Fan, Yining Wang, Alexander Vainstein, Yuexuan Qiu, Yinan Sun, Huiqin Ma   +6 more
wiley   +1 more source

Research on the dynamic evolution mechanism of disruptive technology based on the BERTopic model and Hidden Markov Model: A case study of industrial Internet technology. [PDF]

PLoS One
Yang H, Chen S, Yang X.
europepmc   +1 more source

Brain tissue classification in hyperspectral images using multistage diffusion features and transformer

Journal of Microscopy, EarlyView.
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger, Tuan T. Nguyen, Gianluca Tozzi   +2 more
wiley   +1 more source