«New Normal» of Students’ Educational Practices in the Coronavirus Pandemic Reality by E. Yu. Kostina, N. A. Orlova

Subjects: “…“new normal”…”
Get full text

Normal tissue radioprotection by amifostine via Warburg-type effects by Michael I. Koukourakis, Alexandra Giatromanolaki, Christos E. Zois, Dimitra Kalamida, Stamatia Pouliliou, Ilias V. Karagounis, Tzu-Lan Yeh, Martine I. Abboud, Timothy D. W. Claridge, Christopher J. Schofield, Efthimios Sivridis, Costantinos Simopoulos, Savvas P. Tokmakidis, Adrian L. Harris

“…This effect was confirmed on normal mouse NCTC hepatocytes, but not on hepatoma cells. …”
Get full text

Neutrosophic D’Agostino Test of Normality: An Application to Water Data by Mohammed Albassam, Nasrullah Khan, Muhammad Aslam

“…We propose the D’Agostino test to test the normality of the data having indeterminate observations. …”
Get full text

Jurnal Kesehatan Andalas. 2019; 8(4) Gitelman Syndrome by Venni Dimitri, Drajat Priyono

“…Jurnal Kesehatan Andalas…”
Get full text

Zinc in the Monoaminergic Theory of Depression: Its Relationship to Neural Plasticity by Urszula Doboszewska, Piotr Wlaź, Gabriel Nowak, Maria Radziwoń-Zaleska, Ranji Cui, Katarzyna Młyniec

“…Neural Plasticity…”
Get full text

Neural ODEs for holographic transport models without translation symmetry by Zhuo-Fan Gu, Yu-Kun Yan, Shao-Feng Wu

“…We convert the flow equation to a Neural Ordinary Differential Equation (Neural ODE), which is a neural network with continuous depth and produces output through a black-box ODE solver. …”
Get full text

Detection of Antichlamydial Antibody in Patients With Ectopic Pregnancy and Normal Pregnancy by Srwa Jamal Murad

“…The results shows that the mean age of normal pregnancy were (28.3±4.6) group compared with mean age ectopic pregnancy (29.5±4.9) group. …”
Get full text

Assessment of Artificial Neural Networks for Hourly Solar Radiation Prediction by Tamer Khatib, Azah Mohamed, K. Sopian, M. Mahmoud

“…This paper presents an assessment for the artificial neural network (ANN) based approach for hourly solar radiation prediction. …”
Get full text

Normality Criteria of Meromorphic Functions That Share a Holomorphic Function by Jie Ding, Jianming Qi, Taiying Zhu

“…Suppose that, for every function f∈F, f≠0, P(f)=f(k)+ak-1f(k-1)+⋯+a1f'+a0f≠0 and, for every pair functions (f,g)∈F, P(f), P(g) share ψ, then F is normal in D.…”
Get full text

The molecular prognostic scoring system for normal karyotype myelodysplastic syndromes by Wei Wang, Yudi Zhang, Wenli Yang, Xiaozhen Liu, Lingxu Jiang, Wei Lang, Yingwan Luo, Xinping Zhou, Lu Wang, Li Ye, Ying Xu, Liya Ma, Hongyan Tong

Get full text

Application of Optimized BP Neural Network In Financial Alert System by Qiaoyi Gao

“…Based on this, main body of a book studies and analyzes the request of optimized BP neural network in financial alert system. Based on the financial early warning and a brief analysis of the development requirements of BP neural network, this paper establishes a financial early warning model for BP neural network. …”
Get full text

Estimation of Approximating Rate for Neural Network inLwp Spaces by Jian-Jun Wang, Chan-Yun Yang, Jia Jing

“…The results obtained are helpful in understanding the approximation capability and topology construction of the sigmoidal neural networks.…”
Get full text

Study on Ductility of Ti Aluminide Using Artificial Neural Network by R. K. Gupta, Rama Mehta, Vijaya Agarwala, Bhanu Pant, P. P. Sinha

“…Using the reported data, the present paper aims to optimize the experimental conditions through computational modeling using artificial neural network (ANN). Ductility database were prepared, and three parameters, namely, alloy type, grain size, and heat treatment cycle were selected for modeling. …”
Get full text

Efficient Artificial Neural Network for Smart Grid Stability Prediction by Saeed Mohsen, Mohit Bajaj, Hossam Kotb, Mukesh Pushkarna, Sadam Alphonse, Sherif S. M. Ghoneim

“…From this perspective, this process is too much time consuming, thus it should predict a smart grid stability via artificial intelligence (e.g., neural networks). Recent advances in the accuracy of neural network have effective solutions to solving the smart grid stability prediction issues, but it remains necessary to develop high performance neural networks that give higher accuracy. …”
Get full text

Spectral Characterization of Fungal Metabolites in Aqueous Medium with Humus Substances by D. A. Khundzhua, S. V. Patsaeva, V. A. Terekhova, V. I. Yuzhakov

“…The research is focused on the spectroscopic study of the collection of fungal strains with different pigmentation of mycelium. …”
Get full text

How Much Does AMH Really Vary in Normal Women? by Antonio La Marca, Valentina Grisendi, Georg Griesinger

Get full text

Hyphal Growth in Human Fungal Pathogens and Its Role in Virulence by Alexandra Brand

“…Most of the fungal species that infect humans can grow in more than one morphological form but only a subset of pathogens produce filamentous hyphae during the infection process. …”
Get full text

Adaptive Neural Network Motion Control of Manipulators with Experimental Evaluations by S. Puga-Guzmán, J. Moreno-Valenzuela, V. Santibáñez

“…With the aim of estimating the desired torque, a two-layer neural network is used. Then, adaptation laws for the neural network weights are derived. …”
Get full text

Normal Stress Differences and Yield Stresses in Attractive Particle Networks by David I. Verrelli, Adam R. Kilcullen

“…With this foundation, experimental observations of normal stress differences in some suspensions and colloidal systems are surveyed, along with constitutive models that allow for normal stress differences to arise prior to yielding. …”
Get full text

Effects of Fast Simple Numerical Calculation Training on Neural Systems by Hikaru Takeuchi, Tomomi Nagase, Yasuyuki Taki, Yuko Sassa, Hiroshi Hashizume, Rui Nouchi, Ryuta Kawashima

“…Neural Plasticity…”
Get full text