Results 1 to 10 of about 34,400 (119)

Reproducibility of cytological diagnoses in evaluating liquid cervical smears and immunocytochemical co-expression of p16/Ki-67 using manual and automatic methods [PDF]

Гинекология, 2023
Aim. To assess the reproducibility of cytological diagnoses in evaluating liquid cervical smears and immunocytochemical co-expression of p16/Ki-67 using manual and automatic methods. Materials and methods.
Anna V. Tregubova, Nadezda S. Tevrukova, Larisa S. Ezhova, Marina V. Shamarakova, Alina S. Badlaeva, Darya A. Dobrovolskaya, Giuldana R. Bayramova, Niso M. Nazarova, Alexey Yu. Shilyaev, Aleksandra V. Asaturova   +9 more
doaj   +1 more source

Metaparametric Neural Networks for Survival Analysis [PDF]

IEEE Transactions on Neural Networks and Learning Systems, 2023
Survival analysis is a critical tool for the modelling of time-to-event data, such as life expectancy after a cancer diagnosis or optimal maintenance scheduling for complex machinery. However, current neural network models provide an imperfect solution for survival analysis as they either restrict the shape of the target probability distribution or ...
Fabio Luis de Mello, J. Mark Wilkinson, Visakan Kadirkamanathan   +2 more
openaire   +5 more sources

Prediction of metal ion ligand binding residues by adding disorder value and propensity factors based on deep learning algorithm

Frontiers in Genetics, 2022
Proteins need to interact with different ligands to perform their functions. Among the ligands, the metal ion is a major ligand. At present, the prediction of protein metal ion ligand binding residues is a challenge. In this study, we selected Zn2+, Cu2+,
Sixi Hao, Sixi Hao, Xiuzhen Hu, Xiuzhen Hu, Zhenxing Feng, Zhenxing Feng, Kai Sun, Kai Sun, Xiaoxiao You, Xiaoxiao You, Ziyang Wang, Ziyang Wang, Caiyun Yang, Caiyun Yang   +13 more
doaj   +1 more source

On the probabilistic analysis of neural networks [PDF]

Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2020
Neural networks are powerful tools for automated decision-making, seeing increased application in safety-critical domains, such as autonomous driving. Due to their black-box nature and large scale, reasoning about their behavior is challenging. Statistical analysis is often used to infer probabilistic properties of a network, such as its robustness to ...
Corina S. Pasareanu, Hayes Converse, Antonio Filieri, Divya Gopinath   +3 more
openaire   +1 more source

Recognition of Metal Ion Ligand-Binding Residues by Adding Correlation Features and Propensity Factors

Frontiers in Genetics, 2022
The realization of many protein functions is inseparable from the interaction with ligands; in particular, the combination of protein and metal ion ligands performs an important biological function.
Shuang Xu, Shuang Xu, Xiuzhen Hu, Xiuzhen Hu, Zhenxing Feng, Zhenxing Feng, Jing Pang, Jing Pang, Kai Sun, Kai Sun, Xiaoxiao You, Xiaoxiao You, Ziyang Wang, Ziyang Wang   +13 more
doaj   +1 more source

Approximate solutions to shallow water wave equations by the homotopy perturbation method coupled with Mohand transform

Frontiers in Physics, 2023
In this paper, the Mohand transform-based homotopy perturbation method is proposed to solve two-dimensional linear and non-linear shallow water wave equations.
Yue Liu, Yue Liu, Yue Liu, Yanni Zhang, Jing Pang, Jing Pang   +5 more
doaj   +1 more source

Effect of the Quadric Shear Zonal Flows and Beta on the Downstream Development of Certain Unstable Baroclinic Waves

Tellus: Series A, Dynamic Meteorology and Oceanography, 2023
Many factors are affecting the downstream development of baroclinic waves, among which zonal shear flow is one of the factors that need to be considered.
Jian Song, Yu Ying Yang
doaj   +1 more source

Applying Machine Learning Approaches to Suicide Prediction Using Healthcare Data: Overview and Future Directions

Frontiers in Psychiatry, 2021
Objective: Early identification of individuals who are at risk for suicide is crucial in supporting suicide prevention. Machine learning is emerging as a promising approach to support this objective.
Edwin D. Boudreaux, Elke Rundensteiner, Feifan Liu, Bo Wang, Celine Larkin, Emmanuel Agu, Samiran Ghosh, Joshua Semeter, Gregory Simon, Rachel E. Davis-Martin   +9 more
doaj   +1 more source

Etnosentrizm ve Tüketici İlişkiselliği: Yerli Otomobil Satın Alma Niyetinin Öngörüsü

Selçuk İletişim, 2022
Tüketici bireylerin satın alma niyetleri üzerine yapılan araştırmalar etnosentrizm ile milliyetçilik arasında anlamlı bir ilişkinin olduğunu ifade etmektedir.
Alper Yılmaz, Mehmet Ulaş, Abuzer Yeşil   +2 more
doaj   +1 more source

Abundant exact solutions of higher-order dispersion variable coefficient KdV equation

Open Physics, 2022
In this article, various exact solutions of the fifth-order variable coefficient KdV equation with higher-order dispersion term are studied. Because of the complexity of the exact solution of the variable coefficient t, it has a certain influence on the ...
Zhao Zhen, Pang Jing
doaj   +1 more source