Artificial Intelligent‐Enhanced Metabolite Profiling for Intraoperative IDH1 Genotyping in Glioma Using an Orthogonally Responsive SERS Probe by Hang Yin, Xin Zhang, Zheng Zhao, Chong Cao, Minhua Xu, Suhongrui Zhou, Tian Xuan, Ziyi Jin, Limei Han, Yang Fan, Cong Wang, Xiao Zhu, Ying Mao, Jinhua Yu, Cong Li

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Cardiovascular magnetic resonance imaging traits associated with adverse right ventricular remodeling in repaired tetralogy of Fallot: A Single Center Outcomes Using cardiovascular... by Elizabeth W. Thompson, Ningiun J. Dong, Jin-seo Kim, Abhijit Bhattaru, Phuong Vu, Fengling Hu, Russell T. Shinohara, Sophia Swago, Elizabeth Donnelly, Xuemei Zhang, Annefleur Loth, Lipika Vuthuri, Kristen Lanzilotta, Kevin K. Whitehead, Jeffrey Duda, James Gee, Laura Almasy, Elizabeth Goldmuntz, Mark A. Fogel, Walter R. Witschey

“…ABSTRACT: Background: Deterioration of right ventricular (RV) function in repaired tetralogy of Fallot (rToF) is poorly understood. …”
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Lack of neuropsychological effects following short-term subcallosal cingulate gyrus deep brain stimulation in treatment-resistant depression: a randomised crossover study by Andres M Lozano, Wendy Lou, Peter Giacobbe, Sidney H Kennedy, Michelle Wu, Vanessa K Tassone, Venkat Bhat, Fatemeh Gholamali Nezhad, Yuelee Khoo, Qiaowei Lin, Ilya Demchenko, Reinhard Janssen-Aguilar, Amanda K Ceniti, Sakina J Rizvi, Mary Pat McAndrews

“…Background The subcallosal cingulate gyrus (SCG) is integral to cognitive function and mood regulation. Open-label SCG deep brain stimulation (DBS) studies demonstrate improvement or stabilisation of cognitive function in treatment-resistant depression (TRD).Objective This randomised controlled study aims to evaluate the neuropsychological effects of SCG-DBS.Methods 35 participants with TRD received active or sham stimulation over two 3-month periods. …”
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Anti-NMDA Encephalitis Associated with a Mature Ovarian Teratoma: A Compelling Case Report by Antonio Medina Luna, Octavio César Augusto Caamal Torres, Ramón Adrián Magaña Dávalos, Carlos Esteban Vidal Valderrama

“…The NMDA receptor, located in the hippocampus and forebrain, plays a critical role in memory, cognition, and learning. The pathogenesis of anti-NMDAR encephalitis is driven by an autoimmune mechanism in which the body produces autoantibodies (anti-NMDAR) that internalize and alter the NR1 subunit of the NMDA receptor, leading to decreased synaptic function and neuropsychiatric symptoms. …”
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Early Active Exercise Improves MDA, SOD, and GSH Levels without Memory or NO Changes in Wistar Rats by Muhammad Hafiz Zuhdi Fairof, Arimi Fitri Mat Ludin, Nur Diyana Anas, Ainaa Husna, Ahmad Muhaimin Che Hasan, Amirul Hafiz Ahmad Abdullah, Farah Wahida Ibrahim, Adriyan Pramono, Nor Fadilah Rajab

“…KEYWORDS: circadian rhythm, exercise timing, cognitive function, oxidative stress…”
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Dendritic cell-derived MYD88 potentiates as a biomarker for immune regulation in hepatocellular carcinoma and may predict a better immunological result by Zheming Liu, Zheming Liu, Hengbo Zhu, Fengxia Zhang, Wenting Huang, Shipeng Zhu, Songjiang He, Yi Yao, Qibin Song, Xue Zhang

“…The TLR/MYD88 pathway plays a critical role in dendritic cells (DC) maturation and function, contributing to the body’s innate immunity. …”
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Harnessing AlphaFold to reveal hERG channel conformational state secrets by Khoa Ngo, Pei-Chi Yang, Vladimir Yarov-Yarovoy, Colleen E Clancy, Igor Vorobyov

“…To design safe, selective, and effective new therapies, there must be a deep understanding of the structure and function of the drug target. One of the most difficult problems to solve has been the resolution of discrete conformational states of transmembrane ion channel proteins. …”
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Clinical Holistic Medicine: Induction of Spontaneous Remission of Cancer by Recovery of the Human Character and the Purpose of Life (the Life Mission) by Søren Ventegodt, Mohammed Morad, Eytan Hyam, Joav Merrick

“…This is called “a blockage”, where the function of the cells is changed from their original function in the tissue to a function of holding emotions. …”
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Application of KTA-KELM in Fault Diagnosis of Rolling Bearing by Zhuo Wang, Wenjun Zhao, Tao Ma, Zhijun Li, Bo Qin

“…In the process of data-driven rolling bearing state identification model construction，the improper selection of the radial width parameter σ of the Gaussian kernel function in the Kernel Extreme Learning Machine（KELM）algorithm is very easy to cause poor classification accuracy. …”
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Modeling turning performance of Inconel 718 with hybrid nanofluid under MQL using ANN and ANFIS by Paresh Kulkarni, Satish Chinchanikar

“…Soft computing techniques, with their self-learning capabilities, fuzzy principles, and evolutionary computational philosophy, are being increasingly utilized in modeling complex machining processes. …”
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Divergence and Similarity Characteristics for Two Fuzzy Measures Based on Associated Probabilities by Gia Sirbiladze, Bidzina Midodashvili, Teimuraz Manjafarashvili

“…For this, a conditional optimization problem with one objective function representing the distance, divergence or similarity index is formulated. …”
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scSEETV‐Net: Spatial and Channel Squeeze‐Excitation and Edge Attention Guidance V‐Shaped Network for Skin Lesion Segmentation by Hakan Ocal

“…Herein, the Edge‐aTtention module is added to the V‐Net architecture to move edge information to the last layer, and the spatial and channel squeeze‐excitation module is added to emphasize high‐level features by recalibrating the channel information to learn lesion boundaries better. The scSEETV‐Net is supported by fusing the binary cross‐entropy, which calculates the loss on a pixel‐based, and the focal Twersky loss function, which has significant success in class imbalances. …”
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Optimization of Sensor Positions and Orientations for Multiple Load Case Scenarios by Wacław Kuś, Waldemar Mucha, Iyasu Tafese Jiregna

“…The novelty lies in a newly formulated objective function, allowing for optimization of sensor number, positions, and orientations across multiple load cases and measurement types. …”
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Reading Shakespeare sonnets: Combining quantitative narrative analysis and predictive modeling - an eye tracking study by Shuwei Xue, Jana Lüdtke, Teresa Sylvester, Arthur M. Jacobs

“…., 2017), the present study analyzed the eye movement behavior of participants reading three of the 154 sonnets as a function of seven lexical features extracted via Quantitative Narrative Analysis (QNA). …”
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High-Precision Modal Decomposition of Laser Beams Based on Globally Optimized SPGD Algorithm by Kyuhong Choi, Changsu Jun

“…The enhanced SPGD algorithm includes the annealing of the learning rates, identifying and escaping of local minima with large perturbations, and comparing of the transient error function with a reference value. …”
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Output Feedback Adaptive Dynamic Surface Sliding-Mode Control for Quadrotor UAVs with Tracking Error Constraints by Guoqiang Zhu, Sen Wang, Lingfang Sun, Weichun Ge, Xiuyu Zhang

“…The main features of this work are (1) a nonlinear observer is employed to predict the motion velocities of the quadrotor UAV; therefore, only the position signals are needed for the position tracking controller design; (2) by using the minimum learning technology, there is only one parameter which needs to be updated online at each design step and the computational burden can be greatly reduced; (3) a performance function is introduced to transform the tracking error into a new variable which can make the tracking error of the system satisfy the prescribed performance indicators; (4) the sliding-mode surface is introduced in the process of the controller design, and the robustness of the system is improved. …”
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An edge server placement based on graph clustering in mobile edge computing by Shanshan Zhang, Jiong Yu, Mingjian Hu

“…The model mainly consists of a two-layer graph convolutional network (GCN) component and a differentiable version of K-means clustering component, which transforms the server placement problem into an end-to-end learning optimization problem on a graph. It trains the GCN network to achieve the best clustering results with the expectation of average delay and load balancing as the loss function to obtain the edge server placement and user assignment scheme. …”
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Spinal Plasticity and Behavior: BDNF-Induced Neuromodulation in Uninjured and Injured Spinal Cord by Sandra M. Garraway, J. Russell Huie

“…Research has extended to examine how spinal cord injury (SCI) influences BDNF plasticity and the effects BDNF has on sensory and motor functions after SCI. Functional recovery and adaptive plasticity after SCI are typically associated with upregulation of BDNF. …”
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Parameter Optimization of Balise Circuit Based on Fusion of BNN and Genetic Algorithm by Zhengjiao Li, Zishuo Zhao, Jiang Liu, Zhongqi Zhang, Baigen Cai

“…Therefore, this paper proposes a ground transponder design and optimization method based on deep learning. Firstly, the functional modules of the balise RF circuit are decomposed, and the influencing factors of circuit start-up conditions and load quality factors are analysed, and the component parameters that need to be optimized are extracted as decision variables. …”
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An improved sliding mode observer algorithm for PMSM based on deformable fuzzy neural network by Xiaolin Li, Na Liu, Juan Song, Yiyan Zhang

“…To address the issue of poor speed estimation performance caused by the inability of sensor parameters to adjust in real time under complex working conditions in traditional sliding mode observer sensorless control techniques for permanent magnet synchronous motors (PMSM), an improved sliding mode sensorless algorithm combining radial basis function (RBF) neural networks and fuzzy logic control theory is proposed. …”
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