Quantification and Gene Expression Analysis of Histone Deacetylases in Common Bean during Rust Fungal Inoculation by Kalpalatha Melmaiee, Venu (Kal) Kalavacharla, Adrianne Brown, Antonette Todd, Yaqoob Thurston, Sathya Elavarthi

“…There was only one study reported on epigenetic modifications of the important legume crop, common bean, and its interaction with the fungal rust pathogen Uromyces appendiculatus prior to this project. …”
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Using Reflectance Spectroscopy and Artificial Neural Network to Assess Water Infiltration Rate into the Soil Profile by Naftali Goldshleger, Alexandra Chudnovsky, Eyal Ben-Dor

“…The spectral properties of the crust formed on the soil surface were analyzed using an artificial neural network (ANN). Results were compared to a study with the same population in which partial least-squares (PLS) regression was applied. …”
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IL-6-Inducing Peptide Prediction Based on 3D Structure and Graph Neural Network by Ruifen Cao, Qiangsheng Li, Pijing Wei, Yun Ding, Yannan Bin, Chunhou Zheng

“…In this study, we propose a novel IL-6-inducing peptide prediction method called DGIL-6, which integrates 3D structural information with graph neural networks. DGIL-6 represents a peptide sequence as a graph, where each amino acid is treated as a node, and the adjacency matrix, representing the relationships between nodes, is derived from the predicted residue contact graph of the peptide sequence. …”
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Dual Kidney Transplant From a Donor With Alport Syndrome in a Genotypically Normal Recipient by SriGita K. Madiraju, MD, Jan-Paul Sambataro, MD, Dalia Y. Ibrahim, MD, FCAP, Deepak K. Malhotra, MD, PhD, FASN, Rujun Gong, MD, PhD, FASN, Dinkar Kaw, MD FACP, FASN, Shobha Ratnam, MD, PhD, Amira Gohara, MD, Michael Rees, MD, Puneet Sindhwani, MD, John Rabets, MD, Obinna Ekwenna, MD, Kunal Yadav, MD

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Effects of Bacterial-Fungal Coinfection on Biochemical Parameters and Organ Structure in African Catfish (Clarias gariepinus) by Alexander Atanasoff, Dimitrinka Zapryanova, Atanas Bozhkov, Çiğdem Ürkü

“…These biochemical and histopathological findings are valuable for monitoring health and diagnosing fungal diseases in African catfish.…”
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RLS-associated MEIS transcription factors control distinct processes in human neural stem cells by Volker Kittke, Chen Zhao, Daniel D. Lam, Philip Harrer, Wojciech Krezel, Barbara Schormair, Konrad Oexle, Juliane Winkelmann

“…They can execute redundant functions when co-expressed in the same cell types, but their roles during early stages of neural differentiation have not been systematically compared. …”
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Classification of Strawberry Maturity Stages and Varieties Using Neural Networks Based on Volatile Organic Compounds by Jing Huang, Xuenan Zhang, Hang Yang, Zhenbiao Li, Zhengfang Xue, Qingqing Wang, Xinyuan Zhang, Shenghua Ding, Zisheng Luo, Yanqun Xu

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Rolling-Element Bearing Fault Data Automatic Clustering Based on Wavelet and Deep Neural Network by Yanli Yang, Peiying Fu

“…A method based on wavelet and deep neural network for rolling-element bearing fault data automatic clustering is proposed. …”
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An Unconventional Approach for Analyzing the Mechanical Properties of Natural Fiber Composite Using Convolutional Neural Network by Govindaraj Ramkumar, Satyajeet Sahoo, G. Anitha, S. Ramesh, P. Nirmala, M. Tamilselvi, Ram Subbiah, S. Rajkumar

“…The developed convolutional neural network (CNN) is used to accurately predict the mechanical properties of these composites. …”
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A Modified Dynamic Evolving Neural-Fuzzy Approach to Modeling Customer Satisfaction for Affective Design by C. K. Kwong, K. Y. Fung, Huimin Jiang, K. Y. Chan, Kin Wai Michael Siu

“…In this paper, a modified dynamic evolving neural-fuzzy approach is proposed to address the above mentioned limitations. …”
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Mini-open transosseous repair with bursal augmentation improves outcomes in massive rotator cuff tears by Yasser El Safoury, Ahmed O. Sabry

“…This work aimed to evaluate the results of arthroscopic guided mini-open transosseous repair with bursal augmentation in the treatment of MRCTs in a five-step approach. …”
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Influence of Training Set Selection in Artificial Neural Network-Based Propagation Path Loss Predictions by Ignacio Fernández Anitzine, Juan Antonio Romo Argota, Fernado Pérez Fontán

“…This paper analyzes the use of artificial neural networks (ANNs) for predicting the received power/path loss in both outdoor and indoor links. …”
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Combining Convolutional Neural Network (CNN) and Grad-CAM for Parkinson’s Disease Prediction and Visual Explanation by Reyhaneh Dehghan, Marjan Naderan, Seyed Enayatallah Alavi

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Classification of the Crystal Structures of Orthosilicate Cathode Materials for Li-Ion Batteries by Artificial Neural Networks by Mookala Premasudha, Bhumi Reddy Srinivasulu Reddy, Kwon-Koo Cho, Ahn Hyo-Jun, Jae-Kyung Sung, Nagireddy Gari Subba Reddy

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Uji Parameter dan Arsitektur Convolutional Neural Network untuk Mendeteksi Citra Wajah Bermasker by Dewi Novita Sari, Muh. Arif Rahman, Randy Cahya Wihandika

“…Jurnal Teknologi Informasi dan Ilmu Komputer…”
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HandSegNet: Hand segmentation using convolutional neural network for contactless palmprint recognition by Koichi Ito, Yusei Suzuki, Hiroya Kawai, Takafumi Aoki, Masakazu Fujio, Yosuke Kaga, Kenta Takahashi

“…In this study, HandSegNet, which is a hand segmentation method using Convolutional Neural Network (CNN) for contactless palmprint recognition, is proposed. …”
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Retracted: Risk Prediction Algorithm of Social Security Fund Operation Based on RBF Neural Network by International Journal of Antennas and Propagation

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Retracted: Prediction of Urban Scale Expansion Based on Genetic Algorithm Optimized Neural Network Model by Journal of Function Spaces

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Global Stability of Almost Periodic Solution of a Class of Neutral-Type BAM Neural Networks by Tetie Pan, Bao Shi, Jian Yuan

“…A class of BAM neural networks with variable coefficients and neutral delays are investigated. …”
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Probe Selection and Power Weighting in Multiprobe OTA Testing: A Neural Network-Based Approach by Yong Li, Hao Sun, Xingyu Chen, Lijian Xin, Xiang Zhang

“…In this paper, a novel approach based on neural networks (NNs) is proposed to derive suitable angular locations as well as power weights of OTA probe antennas; in particular, by using the regularization technique, active probe locations and their weights can be optimized simultaneously with only one training process of the proposed NN. …”
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