Storm‐Time Ring Current Plasma Pressure Prediction Based on the Multi‐Output Convolutional Neural Network Model by Yun Yan, Zi‐Kang Xie, Chao Yue, Jiu‐Tong Zhao, Fan Yang, Lun Xie, Qiu‐Gang Zong, Xu‐Zhi Zhou, Shan Wang

Subjects: Get full text

Applying Fourier Neural Operator to insect wingbeat sound classification: Introducing CF-ResNet-1D by Béla J. Szekeres, Máté Natabara Gyöngyössy, János Botzheim

Subjects: Get full text

Artificial neural network analysis of Jeffrey hybrid nanofluid with gyrotactic microorganisms for optimizing solar thermal collector efficiency by Anup Kumar, Bhupendra K. Sharma, Bandar Almohsen, Laura M. Pérez, Kamil Urbanowicz

“…The Cash and Carp method is implemented to solve the non-dimensional equations. The artificial neural network is also developed for the non-dimensional governing equations using the Levenberg Marquardt algorithm. …”
Get full text

Event-Type Identification in Power Grids Using a Spectral Correlation Function-Aided Convolutional Neural Network by Ozgur Alaca, Ali Riza Ekti, Jhi-Young Joo, Nils Stenvig

“…This study introduces a novel event-type identification method, utilizing a Spectral Correlation Function (SCF)-aided Convolutional Neural Network (CNN). The proposed method employs a six-stage cascaded structure consisting of: (1) data collection, (2) clipping, (3) augmentation, (4) feature extraction (FE), (5) training, and (6) testing. …”
Get full text

Thiopurines in the Management of Crohn’s Disease: Safety and Efficacy Profile in Patients with Normal TPMT Activity—A Retrospective Study by Amine Benmassaoud, Xuanqian Xie, Motaz AlYafi, Yves Theoret, Alain Bitton, Waqqas Afif, Talat Bessissow

“…This retrospective study evaluated the safety and efficacy of starting thiopurines at low dose versus full dose in patients with CD and normal TPMT. Methods. This was a single center retrospective study including adult CD patients with normal TPMT levels (≥25 nmol/hr/g Hgb) who were followed for 1 year. …”
Get full text

The Neural-Fuzzy Approach as a Way of Preventing a Maritime Vessel Accident in a Heavy Traffic Zone by Nelly A. Sedova, Viktor A. Sedov, Ruslan I. Bazhenov

“…The paper dwells on the methodology of neural-fuzzy approach to solving the problem of ship collision prevention in a heavy traffic zone. …”
Get full text

Federated Digital Twins: A Scheduling Approach Based on Temporal Graph Neural Network and Deep Reinforcement Learning by Young-Jin Kim, Hanjin Kim, Beomsu Ha, Won-Tae Kim

Subjects: Get full text

Antenatal Steroids and the IUGR Fetus: Are Exposure and Physiological Effects on the Lung and Cardiovascular System the Same as in Normally Grown Fetuses? by Janna L. Morrison, Kimberley J. Botting, Poh Seng Soo, Erin V. McGillick, Jennifer Hiscock, Song Zhang, I. Caroline McMillen, Sandra Orgeig

Get full text

Early Infantile Epileptic Encephalopathy in an STXBP1 Patient with Lactic Acidemia and Normal Mitochondrial Respiratory Chain Function by Dong Li, Elizabeth Bhoj, Elizabeth McCormick, Fengxiang Wang, James Snyder, Tiancheng Wang, Yan Zhao, Cecilia Kim, Rosetta Chiavacci, Lifeng Tian, Marni J. Falk, Hakon Hakonarson

“…We report a 7-year-old boy who presented for diagnostic evaluation of intractable epilepsy, episodic ataxia, resting tremor, and speech regression following a period of apparently normal early development. Mild lactic acidemia was detected on one occasion at the time of an intercurrent illness. …”
Get full text

A Novel User Classification Method for Femtocell Network by Using Affinity Propagation Algorithm and Artificial Neural Network by Afaz Uddin Ahmed, Mohammad Tariqul Islam, Mahamod Ismail, Salehin Kibria, Haslina Arshad

“…An artificial neural network (ANN) and affinity propagation (AP) algorithm based user categorization technique is presented. …”
Get full text

Novel Hybrid Radial-Based Neural Network Model for Predicting the Compressive Strength of Long-Term HPC Concrete by Hanlie Cheng, Shiela Kitchen, Graciela Daniels

Subjects: Get full text

Oleanolic Acid Induces Differentiation of Neural Stem Cells to Neurons: An Involvement of Transcription Factor Nkx-2.5 by You Ning, Jianhua Huang, Bill Kalionis, Qin Bian, Jingcheng Dong, Junzhen Wu, Xiantao Tai, Shijin Xia, Ziyin Shen

“…Neural stem cells (NSCs) harbor the potential to differentiate into neurons, astrocytes, and oligodendrocytes under normal conditions and/or in response to tissue damage. …”
Get full text

Light to Moderate Alcohol Consumption Is Protective for Type 2 Diabetes Mellitus in Normal Weight and Overweight Individuals but Not the Obese by Patricia A. Metcalf, Robert K. R. Scragg, Rod Jackson

“…Alcohol consumption was protective against diagnosis of T2DM in normal and overweight individuals but not in the obese.…”
Get full text

Tetrodotoxin, fungal pathogen infection, and bacterial microbiome associations are variable in the skin microecosystems of two Taricha newt species by Talon Jost, Talon Jost, Alysha Henderson, Brandon LaBumbard, Krisztian Magori, Amber Stokes, Danica Bergin, Autumn Holley, Autumn Holley, Molly Bletz, Molly Bletz, Obed Hernández-Gómez, Gary Bucciarelli, Douglas C. Woodhams, Jonah Piovia-Scott, Jenifer B. Walke

Get full text

Seismic Design Value Evaluation Based on Checking Records and Site Geological Conditions Using Artificial Neural Networks by Tienfuan Kerh, Yutang Lin, Rob Saunders

“…This study further develops a new weight-based neural network model for estimating peak ground acceleration at unchecked sites. …”
Get full text

Enhanced SOC estimation method for lithium-ion batteries using Bayesian-optimized TCN–LSTM neural networks by Taotao Hu, Xiting Zhu, Maokai Tian

Get full text

The Prediction of Pile Foundation Buried Depth Based on BP Neural Network Optimized by Quantum Particle Swarm Optimization by Fei Yin, Yong Hao, Taoli Xiao, Yan Shao, Man Yuan

“…In this paper, a nonlinear model based on coordinates and buried depth of piles was established by the BP neural network to predict the samples to be evaluated, the consequence of which indicated that the BP neural network was easily trapped in local extreme value, and the error reached 31%. …”
Get full text

Improved Patient Outcomes by Normalizing Sympathovagal Balance: Differentiating Syncope—Precise Subtype Differentiation Leads to Improved Outcomes by Nicholas L. DePace, Julie A. Bateman, Michael Yayac, John Oh, Mushfiqur Siddique, Cesar Acosta, Jeysel M. Pinales, Aaron I. Vinik, Heather L. Bloom

“…P&S monitoring noninvasively, independently, and simultaneously measures parasympathetic and sympathetic (P&S) activity, including the normal P-decrease followed by an S-increase with head-up postural change (standing). …”
Get full text

The study of agronomical traits determining productivity of Triticum aestivum/Triticum timopheevii introgression lines with resistance to fungal diseases by I. N. Leonova, E. B. Budashkina

“…Development of resistant cultivars is one of the effective ways for protection of common wheat T. aestivum L. from fungal pathogens. The gene pool of wild and cultivated wheat relatives is often used for widening the wheat genetic diversity of resistance genes. …”
Get full text

One-Day Prediction of Biometeorological Conditions in a Mediterranean Urban Environment Using Artificial Neural Networks Modeling by K. P. Moustris, P. T. Nastos, A. G. Paliatsos

“…For this purpose, artificial neural networks (ANNs) modelling techniques are applied in order to predict the maximum and the minimum value of the physiologically equivalent temperature (PET) one day ahead as well as the persistence of the hours with extreme human biometeorological conditions. …”
Get full text