Induced Opening of the Gastroesophageal Junction Occurs at a Lower Gastric Pressure in Gerd Patients and in Hiatal Hernia Subjects than in Normal Control Subjects by Anil Vegesna, Ramashesai Besetty, Amit Kalra, Umar Farooq, Annapurna Korimilli, Keng yu Chuang, Robert Fisher, Henry Parkman, Larry Miller

“…There were two patterns of GEJ opening in normal volunteers. The mean opening pressure for Gastroesophageal junction in normal pattern-I, normal pattern-II, hiatal hernia, and Gastroesophageal reflux patients was 11.5, 12.6, 3.4, and 1.3 mmHg, respectively. …”
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Single Charge Current in a Normal Mesoscopic Region Attached to Superconductor Leads via a Coupled Poisson Nonequilibrium Green Function Formalism by David Verrilli, F. P. Marin, Rafael Rangel

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Adult Human Multipotent Neural Cells Could Be Distinguished from Other Cell Types by Proangiogenic Paracrine Effects via MCP-1 and GRO by Sung Soo Kim, Hee-Jang Pyeon, Yoon Kyung Bae, Hyun Nam, Chung Kwon Kim, Sun-Ho Lee, Kyeung Min Joo

“…Adult human multipotent neural cells (ahMNCs) are unique cells derived from adult human temporal lobes. …”
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Dual Repurposing of End-of-Life BWRO Membranes: Ultrafiltration Membranes for Advanced Wastewater Treatment and Cation Exchange Membranes for Fungal Microbial Fuel Cells by Anissa Somrani, Mehri Shabani, Zaineb Mohamed, Kholoud Abohelal, Salam S. Alsharari, Ahmed Hannachi, Noreddine Ghaffour, Maxime Pontié

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Human Immune System Increases Breast Cancer-Induced Osteoblastic Bone Growth in a Humanized Mouse Model without Affecting Normal Bone by Tiina E. Kähkönen, Mari I. Suominen, Jenni H. E. Mäki-Jouppila, Jussi M. Halleen, Azusa Tanaka, Michael Seiler, Jenni Bernoulli

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Comparison between traditional models and artificial neural networks as estimators of the growth of the Tigris scraper Capoeta umbla (Teleostei: Cyprinidae) in the Munzur River, Turkey by Ebru Ifakat Ozcan, Osman Serdar

“…Therefore, artificial neural networks models are an effective tool to describe body weight and length in fish. …”
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A holistic physics-informed neural network solution for precise destruction of breast tumors using focused ultrasound on a realistic breast model by Salman Lari, Hossein Rajabzadeh, Mohammad Kohandel, Hyock Ju Kwon

Subjects: “…physics-informed neural network…”
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Adaptive neural observer-based output feedback anti-actuator fault control of a nonlinear electro-hydraulic system with full state constraints by Van Du Phan, Hoai Vu Anh Truong, Van Chuong Le, Sy Phuong Ho, Kyoung Kwan Ahn

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Real-time shear wave elastography in measuring normal ileocolon intestinal wall stiffness using colonoscopy as reference: A single-center research by Shuo Wang, Shihui Li, Shuling Chen, Manying Li, Xiaoyan Xie, Mao Ren, Yujun Chen

“…The wall elasticity of colonoscopy-confirmed normal/abnormal intestinal segment was measured by transabdominal SWE. …”
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A Case of Torsion in an Otherwise-Normal Ovary with a Giant Hematosalpinx Larger than Enlarged Ovary: Utilization of Diagnostic Laparoscopy for the Accurate Diagnosis by Sae Yu, Koji Yamanoi, Masumi Sunada, Sachiko Kitamura, Naoki Horikawa, Yoshitsugu Chigusa, Ken Yamaguchi, Akihito Horie, Junzo Hamanishi, Eiji Kondoh, Masaki Mandai

“…We report a case of torsion in an otherwise-normal ovary with a giant hematosalpinx. A 23-year-old woman presented with complaints of abdominal pain and nausea. …”
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Defective Differentiation of Myeloid and Plasmacytoid Dendritic Cells in Advanced Cancer Patients is not Normalized by Tyrosine Kinase Inhibition of the Vascular Endothelial Growth Factor Receptor by T. D. de Gruijl, G. Giaccone, R. J. Scheper, H. van Cruijsen, K. Hoekman, B. C. Kuenen, A. J. M. van den Eertwegh, A. G. M. Stam

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A Statistical Texture Model of the Liver Based on Generalized N-Dimensional Principal Component Analysis (GND-PCA) and 3D Shape Normalization by Xu Qiao, Yen-Wei Chen

“…The 3D shape normalization technique is used for normalizing liver shapes in order to remove the liver shape variability and capture pure texture variations. …”
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Identification of a transcription factor AoMsn2 of the Hog1 signaling pathway contributes to fungal growth, development and pathogenicity in Arthrobotrys oligospora by Qianqian Liu, Kexin Jiang, Shipeng Duan, Na Zhao, Yanmei Shen, Lirong Zhu, Ke-Qin Zhang, Jinkui Yang

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Mapping of Agate-like Soil Cover Structures Based on a Multitemporal Soil Line Using Neural Network Filtering of Remote Sensing Data by Dmitry I. Rukhovich, Polina V. Koroleva, Alexey D. Rukhovich, Mikhail A. Komissarov

“…ASCSs were identified over large areas and soil maps of ASCSs were constructed using multitemporal spectral characteristics of the BSS in the form of multitemporal soil line coefficients. Neural networks were used to identify BSS on big remote sensing data. …”
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A Feature-Extraction-Based Lightweight Convolutional and Recurrent Neural Networks Adaptive Computing Model for Container Terminal Liner Handling Volume Forecasting by Bin Li, Yuqing He

“…Subsequently, a feature-extraction-based lightweight convolutional and recurrent neural network adaptive computing model (FEB-LCR-ACM) is presented initially to predict the LHV by the fusion of multiple deep learning algorithms and mechanisms, especially for the specific feature extraction package of tsfresh. …”
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Morphometric Evaluation of Interrenal Gland and Kidney Macrophages Aggregates in Normal Healthy Rainbow Trout (Oncorhynchus mykiss) and after Bacterial Challenge with Yersinia ruckeri by Michela Gregori, Vincenzo Miragliotta, Roberto Leotta, Stefano Cecchini, Marino Prearo, Francesca Abramo

“…The study presented herein investigates the quantitative modifications from normal anatomical condition, of interrenal gland (IG) and kidney MA in six treatment groups of adult rainbow trout submitted to either specific or aspecific immune stimulation and subsequently challenged with Yersinia ruckeri. …”
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3MT Competition (EUSIPCO2024): A peek into the black box: Insights into the functionality of complex-valued neural networks for multichannel speech enhancement by Annika Briegleb

“…Artificial neural networks (ANNs) have become an important part of signal processing research. …”
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Artificial Neural Networks as a Tool for High-Accuracy Prediction of In-Cylinder Pressure and Equivalent Flame Radius in Hydrogen-Fueled Internal Combustion Engines by Federico Ricci, Massimiliano Avana, Francesco Mariani

“…This underscores the potential of artificial neural network-based approaches to not only significantly reduce computational time but also enhance predictive precision. …”
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Comparative Analyses of Response Surface Methodology and Artificial Neural Network on Medium Optimization for Tetraselmis sp.... by Mohd Shamzi Mohamed, Joo Shun Tan, Rosfarizan Mohamad, Mohd Noriznan Mokhtar, Arbakariya B. Ariff

“…RSM capability was also weighed against an artificial neural network (ANN) approach for predicting a composition that would result in maximum lipid productivity, Prlipid. …”
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Performance analysis of K-nearest neighbor, support vector machine, and artificial neural network classifiers for driver drowsiness detection with different road geometries by Zhenlong Li, Qingzhou Zhang, Xiaohua Zhao

“…This article comparatively analyzed the performance of K-nearest neighbor, support vector machine, and artificial neural network classifiers for driver drowsiness detection with different road geometries (straight segments and curve segments) based on a driving simulator. …”
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