Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks by A.V. Dobshik, S.K. Verbitskiy, I.A. Pestunov, K.M. Sherman, Yu.N. Sinyavskiy, A.A. Tulupov, V.B. Berikov

“…Our deep-learning approach is based on the popular 3D U-Net convolutional neural network architecture, which was modified by adding the squeeze-and-excitation blocks and residual connections. …”
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A New Type of Eye Movement Model Based on Recurrent Neural Networks for Simulating the Gaze Behavior of Human Reading by Xiaoming Wang, Xinbo Zhao, Jinchang Ren

“…In contrast to conventional psychology-based eye movement models, ours is based on a recurrent neural network (RNN) to generate a gaze point prediction sequence, by using the combination of convolutional neural networks (CNN), bidirectional long short-term memory networks (LSTM), and conditional random fields (CRF). …”
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From Bilateral Periorbital Necrotic Wound to Fungal Brain Abscess: A Complicated Case of COVID-19-Associated Mucormycosis by Bahram Eshraghi, Nastaran-Sadat Hosseini, Rasoul Mohammadi, Seyed Hamid Reza Abtahi, Alireza Ramezani-Majd, Roya Azad, Mohsen Pourazizi

“…In this case report, we describe a rare case of CAM in a 33-year-old immunocompetent man who developed bilateral periocular pain and a small area of cutaneous necrosis in both medial canthi associated with impaired vision, which progressed into a fungal brain abscess formation in the post-COVID period. …”
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Adaptive Output Feedback Control for the Trajectory Tracking of High-Speed Trains with Disturbance Uncertainties on the Basis of Neural Network Observers by Yang Liu, Weidong Li

“…Another neural network model is used to approximate the model uncertainties. …”
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Cell Transplantation for Spinal Cord Injury: Tumorigenicity of Induced Pluripotent Stem Cell-Derived Neural Stem/Progenitor Cells by Junhao Deng, Yiling Zhang, Yong Xie, Licheng Zhang, Peifu Tang

“…Spinal cord injury (SCI) is an intractable and worldwide difficult medical challenge with limited treatments. Neural stem/progenitor cell (NS/PC) transplantation derived from fetal tissues or embryonic stem cells (ESCs) has demonstrated therapeutic effects via replacement of lost neurons and severed axons and creation of permissive microenvironment to promote repair of spinal cord and axon regeneration but causes ethnical concerns and immunological rejections as well. …”
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KIT D816V Positive Acute Mast Cell Leukemia Associated with Normal Karyotype Acute Myeloid Leukemia by Marta Lopes, Maria dos Anjos Teixeira, Cláudia Casais, Vanessa Mesquita, Patrícia Seabra, Renata Cabral, José Palla-García, Catarina Lau, João Rodrigues, Maria Jara-Acevedo, Inês Freitas, Jose Ramón Vizcaíno, Jorge Coutinho, Luis Escribano, Alberto Orfao, Margarida Lima

“…The BM karyotype was normal, and the KIT D816V mutation was positive in BM cells. …”
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The PHD transcription factor Cti6 is involved in the fungal colonization and aflatoxin B1 biological synthesis of Aspergillus flavus by Zhang Mengjuan, Lin Guanglan, Pan Xiaohua, Song Weitao, Tan Can, Chen Xuan, Yang Yanling, Zhuang Zhenhong

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Stabilization to Exponential Input-to-State Stability of a Class of Neural Networks with Delay by Observer-Based Aperiodic Intermittent Control by Mengyue Li, Biwen Li, Yuan Wan

“…Compared with the general neural networks, the state of the neural network investigated is not yet fully available. …”
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Enhanced Adaptive Neural-Fuzzy Inference System for Dynamic Time Series Prediction Using Self-Feedback and Hybrid Training by Andrew Topper, Honglei Yao

“…This study introduces an improved adaptive neural-fuzzy inference system (ANFIS) specifically tailored for forecasting chaotic time series. …”
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Parametric Estimation of Directional Wave Spectra from Moored FPSO Motion Data Using Optimized Artificial Neural Networks by Do-Soo Kwon, Sung-Jae Kim, Chungkuk Jin, MooHyun Kim

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Allergic Responses Induced by a Fungal Biopesticide Metarhizium anisopliae and House Dust Mite Are Compared in a Mouse Model by Marsha D. W. Ward, Yong Joo Chung, Lisa B. Copeland, Donald L. Doerfler

“…We compared the ability of fungal biopesticide Metarhizium anisopliae (MACA) and house dust mite (HDM) extracts to induce allergic responses in BALB/c mice. …”
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Deep Learning Image Classification Rontgen Dada pada Kasus Covid-19 Menggunakan Algoritma Convolutional Neural Network by Leni Anggraini Susanti, Agus Mohamad Soleh, Bagus Sartono

“…Jurnal Teknologi Informasi dan Ilmu Komputer…”
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The Prediction of Metro Shield Construction Cost Based on a Backpropagation Neural Network Improved by Quantum Particle Swarm Optimization by Lanjun Liu, Denghui Liu, Han Wu, Xinyu Wang

“…The rough set theory was used to simplify the system of influencing factors to extract the dominant influencing factors and reduce the number of input variables in the BP neural network. Since the BP neural network easily falls into a local minimum and has a slow convergence speed, QPSO was used to optimize the weights and thresholds of the BP neural network. …”
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Trust as a key element in family mediation during divorce: strategies, practices (supervision experience with the use of neural networks) by V. V. Krivopuskov, I. V. Mkrtumova, O. E. Gracheva

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Unusual Vasospastic Angina: A Documented Asymptomatic Spasm with Normal ECG—A Case Report and a Review of the Literature by Ghassan Nakad, Hamid Bayeh

“…We report the case of a 53-years-old patient, known to have coronary artery disease, presenting with typical angina at rest with normal ECG and laboratory findings. His angina is relieved by sublingual nitroglycerin. …”
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Government Financial Support and Enterprises’ Economic Revitalization and Pollution Discharge Under Normalization of the Epidemic: An Evolutionary Game Analysis Framework by Sen Zhang, Ting Chen, Yilin Liu, Baodong Cheng, Guangyuan Qin

“…In order to analyze how the government should promote the enterprises’ economic revitalization and effectively control pollution under the normalized epidemic situation, this paper analyzes the economic revitalization and pollution control problems faced by enterprises under the normalized epidemic situation by using the evolutionary game method. …”
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Evaluation of exo-long noncoding RNA MALAT1 in OSCC in comparison to dysplastic and normal: A cross-sectional study by Ramya Sekar, Selvaraj Jayaraman, VishnuPriya Veeraraghavan, Kalaiselvi Krishnamoorthy, Shubhra Chauhan Aramanai, Sathan Raj Natarajan

“…Result: MALAT1 was found to be overexpressed in OSCC in comparison to normal, significantly (p < 0.001∗). There was no significant change in expression pattern of MALAT1 between dysplastic patients and normal, yet, significant association was found on corelation analysis between expression pattern of MALAT1 and PI3K/AKT/PTEN (p 0.001∗) among individuals of dysplasia and OSCC. …”
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Design of a flattening filter using Fiber Bragg Gratings for EDFA gain equalization: an artificial neural network application by David Esteban Montoya Alba, Jhonatan Mcniven Cagua Herrera, Gustavo Adolfo Puerto Leguizam´ón

Subjects: “…Artificial neural network…”
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Associations of Body Mass Index, Motor Performance, and Perceived Athletic Competence with Physical Activity in Normal Weight and Overweight Children by Kyle M. Morrison, John Cairney, Joe Eisenmann, Karin Pfeiffer, Dan Gould

“…Children who are overweight and obese display lower physical activity levels than normal weight peers. Measures of weight status, perceived motor competence, and motor skill performance have been identified as potential correlates explaining this discrepancy. 1881 children (955 males; 926 females; 9.9 years) were assessed as part of the Physical Health Activity Study Team project. …”
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RBF Neural Network Backstepping Sliding Mode Adaptive Control for Dynamic Pressure Cylinder Electrohydraulic Servo Pressure System by Pan Deng, Liangcai Zeng, Yang Liu

“…On this basis, a RBF neural network backstepping sliding mode adaptive control algorithm is designed: using the double sliding mode structure, the two RBF neural networks are used to approximate the uncertainties in the two subsystems, provide design methods of RBF sliding mode adaptive controller of the dynamic pressure cylinder displacement subsystem and RBF backstepping sliding mode adaptive controller of the dynamic pressure cylinder output pressure subsystem, and give the two RBF neural network weight vector adaptive laws, and the stability of the algorithm is proved. …”
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