An Efficient Herbal Approach for Treating Fungal Infection in Cervical Cancer Patients by Developing and Optimizing a Vaginal Suppository by Mohammed Ghazwani, Umme Hani, Riyaz Ali M. Osmani, Mohamed Rahamathulla, M. Yasmin Begum, Shadma Wahab, D. V. Gowda, Akhila Akkihebbal Ravikumar, Honnavalli Yogish kumar, Hissana Ather, Afrasim Moin

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Anti-Periodic Dynamics of Quaternion-Valued Fuzzy Cellular Neural Networks with Time-Varying Delays on Time Scales by Shiping Shen, Bing Li, Yongkun Li

“…A class of quaternion-valued fuzzy cellular neural networks with time-varying delays on time scales is proposed. …”
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Predicting Shear Strength in FRP-Reinforced Concrete Beams Using Bat Algorithm-Based Artificial Neural Network by Mohammad Nikoo, Babak Aminnejad, Alireza Lork

“…The structure of the artificial neural network (ANN) is also optimized using the bat algorithm. …”
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Predicting the Number of COVID-19 Sufferers in Malang City Using the Backpropagation Neural Network with the Fletcher–Reeves Method by Syaiful Anam, Mochamad Hakim Akbar Assidiq Maulana, Noor Hidayat, Indah Yanti, Zuraidah Fitriah, Dwi Mifta Mahanani

“…Based on this hypothesis, this paper proposes a prediction model for the number of COVID-19 sufferers in Malang using the Backpropagation neural network with the Fletcher–Reeves method. The experimental results show that the Backpropagation neural network with the Fletcher–Reeves method has a better performance than the Backpropagation neural network with the gradient descent method. …”
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Hubungan Kadar Serum Erithropoietin Dengan Transferin Pada Ibu Hamil Anemia Dan Ibu Hamil Normal by Epi Satria, Arni Amir, Vaulinne Vaulinne

“…Jurnal Kesehatan Andalas…”
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Cloud Update of Geodetic Normal Distribution Map Based on Crowd-Sourcing Detection against Road Environment Changes by Chansoo Kim, Sungjin Cho, Myoungho Sunwoo, Paulo Resende, Benazouz Bradaï, Kichun Jo

“…To realize the LiDAR map update framework by reducing the data size, we proposed a novel map update framework using a Geodetic Normal Distribution (GND) map that compresses the point cloud to the normal distributions. …”
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Efficient Hardware Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA by Ali Mehrabi, Yeshwanth Bethi, Andre van Schaik, Andrew Wabnitz, Saeed Afshar

Subjects: “…Spiking neural networks…”
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Inhibitory Effect of PRMT5/MTA Inhibitor on MTAP‐Deficient Glioma May Be Influenced by Surrounding Normal Cells by Yunjie Wang, Xiaohui Sun, Runchen Ma, Xiaofan Zhang, Shengmin Ji, Zhaofeng Liu, Gangqiang Yang, Hongbo Wang, Peng Zhang, Jianzhao Zhang, Jingwei Tian

“…Methods We first analyzed whether there were MTAP‐expressing normal intracerebral cells around MTAP‐deficient glioma tissues by paraffin‐embedded tissue microarray of human glioma specimens. …”
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Convolutional neural networks for sea surface data assimilation in operational ocean models: test case in the Gulf of Mexico by O. Zavala-Romero, O. Zavala-Romero, A. Bozec, E. P. Chassignet, J. R. Miranda, J. R. Miranda

“…This work explores the application of convolutional neural networks (CNNs) in data assimilation within the context of the HYbrid Coordinate Ocean Model (HYCOM) in the Gulf of Mexico. …”
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A Neural-Wavelet Technique for Damage Identification in the ASCE Benchmark Structure Using Phase II Experimental Data by Mahmoud M. Reda Taha

“…We describe a robust damage detection method that is based on using artificial neural network (ANN) to compute the wavelet energy of acceleration signals acquired from the structure. …”
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The influence of big data, content marketing, and artificial neural networks on purchase decisions: the moderating role of purchase intentions by Sudarsono Sudarsono, Azis Rachman

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Delimitation of Funga as a valid term for the diversity of fungal communities: the Fauna, Flora & Funga proposal (FF&F) by Francisco Kuhar, Giuliana Furci, Elisandro Ricardo Drechsler-Santos, Donald H. Pfister

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General Six-Step Discrete-Time Zhang Neural Network for Time-Varying Tensor Absolute Value Equations by Min Sun, Jing Liu

“…This article presents a general six-step discrete-time Zhang neural network (ZNN) for time-varying tensor absolute value equations. …”
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Letter to Editor for “Subgaleal drainage with one burr-hole for chronic subdural hematomas: Our Two-Years’ Experience” by Yad Ram Yadav, Jitin Bajaj, Shailendra Ratre

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A Hybrid Approach by Integrating Brain Storm Optimization Algorithm with Grey Neural Network for Stock Index Forecasting by Yanqiu Sun

“…This paper aims to develop a novel hybrid stock index forecasting model named BSO-GNN based on the brain storm optimization (BSO) approach and the grey neural network (GNN) model by taking full advantage of the grey model in dealing with data with small samples and the neural network in handling nonlinear fitting problems. …”
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Prediction of COD Degradation in Fenton Oxidation Treatment of Kitchen Anaerobic Wastewater Based on IPSO-BP Neural Network by Tianpeng Zhang, Pengfei Ji, Dayong Tian, Rui Xu

“…The improved particle swarm optimization (IPSO) algorithm is used to optimize the back propagation (BP) neural network, and a prediction model of COD degradation is established based on IPSO-BP neural network. …”
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Boy’s love fans versus non-fans in the sexual identity and neural response in the digital age’s young females by Na Ao, Xiaowei Jiang, Yanan Chen, Feng Du, Yingying Chen, Huihui Niu, Shuoyan Hu, Minghui Wang

“…Study 2 focused on the BL senior fans to explore the neural and behavioral response of female while looking at Boys’ Love(BL) stimuli and Heterosexual love stimuli by fNIRS. …”
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A Generalized Bridge Regression in Fuzzy Environment and Its Numerical Solution by a Capable Recurrent Neural Network by Delara Karbasi, Mohammad Reza Rabiei, Alireza Nazemi

“…In order to estimate fuzzy coefficients of the proposed model, we introduce a hybrid scheme based on recurrent neural networks. The suggested neural network model is constructed based on some concepts of convex optimization and stability theory which guarantees to find the approximate parameters of the proposed model. …”
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The Daily Container Volumes Prediction of Storage Yard in Port with Long Short-Term Memory Recurrent Neural Network by Yinping Gao, Daofang Chang, Ting Fang, Yiqun Fan

“…In this work, by deep learning the historical dataset, the long short-term memory (LSTM) recurrent neural network (RNN) is used to predict daily volumes of containers which will enter the storage yard. …”
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Hyperoxia shows duration-dependent effects on the lengths of cell cycle phases in fetal cortical neural stem cells by Jennifer Lanto, Monika Maria Nicole Vehlken, Valeriia Abramenko, Alexander Storch, Alexander Storch, Franz Markert

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