Plasma sterols and vitamin D are correlates and predictors of ozone-induced inflammation in the lung: A pilot study. by Alexia N Perryman, Hye-Young H Kim, Alexis Payton, Julia E Rager, Erin E McNell, Meghan E Rebuli, Heather Wells, Martha Almond, Jamie Antinori, Neil E Alexis, Ned A Porter, Ilona Jaspers

“…<h4>Background</h4>Ozone (O3) exposure causes respiratory effects including lung function decrements, increased lung permeability, and airway inflammation. …”
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Optimal intrusion detection for imbalanced data using Bagging method with deep neural network optimized by flower pollination algorithm by Hussein Ridha Sayegh, Wang Dong, Bahaa Hussein Taher, Muhanad Mohammed Kadum, Ali Mansour Al-madani

“…This article proposes a new IDS based on a hybrid method of metaheuristic and deep learning techniques, namely, the flower pollination algorithm (FPA) and deep neural network (DNN), with an ensemble learning paradigm. …”
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Efficacy of Sophora japonica L. Pill in Subjective Memory Complaints in Healthy Adults: a protocol of randomized, double-blind, placebo-controlled, parallel-group, clinical trial by Yunna Kim, Seung-Ho Lee, Yerim Jeon, Seung-Hun Cho

“…Secondary outcomes include changes in other cognitive function tests (visual short-term memory, visual learning, and verbal learning), as well as measures of depression (Beck Depression Inventory-II), anxiety (State-Trait Anxiety Inventory- Y), stress (Stress Response Inventory), heart rate variability, and quality of life (EuroQol 5-Dimension-3L). …”
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The impact of 24-hour sleep deprivation on cognition and inflammatory response in anesthesiologists and nurses in operating rooms by Tao Ma, Long Feng, Guan-Hua Li, Xiu-Yan Sun, Yang Chu, Wen-Hui Zhao, Shuai Feng, Hao Zhang, Wei Wang

“…Introduction: The effects of acute sleep deprivation on cognitive function and inflammatory responses remain inadequately defined. …”
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Novi pristup u upravljanju hidroelektranama zasnovan na neuronskim mrežama by Radmila Koleva, Darko Babunski, Emil Zaev, Atanasko Tuneski, Laze Trajkovski

“…This is achieved by using MATLAB® – Deep Learning Toolbox whereas the simulations are prepared in Simulink. …”
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Accuracy Maximization Analysis for Sensory-Perceptual Tasks: Computational Improvements, Filter Robustness, and Coding Advantages for Scaled Additive Noise. by Johannes Burge, Priyank Jaini

“…Here, we first contribute two technical advances that significantly reduce AMA's compute time: we derive gradients of cost functions for which two popular estimators are appropriate, and we implement a stochastic gradient descent (AMA-SGD) routine for filter learning. …”
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Employing Huber and TAP Losses to Improve Inter-SubNet in Speech Enhancement by Jeih-Weih Hung, Pin-Chen Huang, Li-Yin Li

“…Despite the success of Inter-SubNet, one crucial aspect probably overlooked by Inter-SubNet is the unequal perceptual weighting of different spectral regions by the human ear, as it employs MSE as its loss function. In addition, MSE loss has a potential convergence concern for model learning due to gradient explosion. …”
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A Study on the Establishment of a Variable Stiffness Physical Model of Abdominal Soft Tissue and an Interactive Massage Force Prediction Algorithm by Xinyi Tang, Ping Shi, Zhenjie Luo, Sujiao Li, Hongliu Yu

“…Model 1 was based on an exponential function, and Model 2 was based on a power function. …”
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Evaluation of Cognitive Dysfunction Syndrome (CDS) in dogs and cats following chronic diseases by Mohammad Mehdi Sabzian, Ehsan Khaksar, Shahin Hassanpour, Bita Vazir

“…After obtaining the consent of the owners, the samples were evaluated using a questionnaire and the incidence of CDS after chronic diseases was compared with the natural aging process.According to the results, a significant difference was seen in the activity and change of memory function and prior learning in dogs with underlying disease compared to the control group. …”
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Fault classification method for on-board equipment of metro train control system based on BERT-CNN by XU Qian, ZHANG Lei, OU Dongxiu, HE Yunpeng

“…The on-board equipment of metro communication based train control (CBTC) is facing laborious maintenance problems, and its textual maintenance logs are criticized for having excessively fragmented information, ambiguous semantics and confused categorization, resulting in low classification metrics by traditional textual distributed representation with basic machine learning algorithms. A fault classification method based on bidirectional encoder representations from transformers - convolutional neural network (BERT-CNN) with the focal loss function is proposed to establish the relationship model between the 'fault processing and conclusion' and the 'fault phenomena'. …”
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A Poisson Process AutoDecoder for X-Ray Sources by Yanke Song, V. Ashley Villar, Rafael Martínez-Galarza, Steven Dillmann

“…Previous work has either failed to directly capture the Poisson nature of the data or only focuses on Poisson rate function reconstruction. In this work, we present the Poisson Process AutoDecoder (PPAD), which is a neural field decoder that maps fixed-length latent features to continuous Poisson rate functions across energy band and time via unsupervised learning. …”
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Implementing artificial neural networks and support vector machines to predict lost circulation by Ahmed K. Abbas, Najim A. Al-haideri, Ali A. Bashikh

“…Then, the user-controlled parameters for ANNs (e.g., training function, number of hidden layers, transferring function, and number of neurons in each hidden layer) and SVMs (e.g., regularization factor, the type of kernel function, and its specific parameters) were optimized using the most common conventional performance criteria. …”
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Building the "Smart Village" Through the implementation of the Non-Formal Education to Improve English Language Skills In the village of Geluran Taman Sidoarjo" by Ani Faujiah

“…The role of the learning education is an undertaking in the process of educating the nation Participated as a real work in the form of donations of educational development (Act No. 20 of 2003). …”
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Dynamic equivalent modelling for active distributed network considering adjustable loads charging characteristics by Jingwen Wang, Jiehui Zheng, Zhigang Li, Qing‐Hua Wu

“…The method proposed in this paper fully utilizes the superiority of reinforcement learning in decision making, while the method combines the excellent feature extraction capability of deep learning. …”
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Sustainable development of education: mutual links of technology and pedagogy by Vyacheslav A. Starodubtsev, Evgeniia O. Frantcuzskaia

“…The function of content curators is to deliver comments, generalize and promote new information that supports learning needs of different global network users. …”
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Uncertainty-modulated prediction errors in cortical microcircuits by Katharina Anna Wilmes, Mihai A Petrovici, Shankar Sachidhanandam, Walter Senn

“…Understanding the variability of the environment is essential to function in everyday life. The brain must hence take uncertainty into account when updating its internal model of the world. …”
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Analisis Tindak Tutur Direktif pada Daftar Putar Video Pembelajaran Bahasa Indonesia Quipper Video by Jaroatin Nabila, Maulida Zahra Qutratu'ain, Chaerunnissa Chaerunnissa, Muhamad Diky Yulianto, Asep Purwo Yudi Utomo

“…The objective of this study was to discover and describe numerous types of directive speech acts in Quipper Vidio Indonesian Language Learning videos based on the functions of commands, requests, invitations, advice, criticism, and prohibitions, etc. …”
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Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser

“…Age, obesity, and abnormal liver function tests were the top determinants in assigning NASH probability…”
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Gut microbiota regulates the brain metabolism of sexually mature drones by Jun Zhang, Ya-Zhou Zhao, Meng-Shang Hou, Qi-He Tang, Yan-Tao Pang, Xi-Jie Li, Jian Xiong, Chong-Hui Zhao, Qi Huang, Shao-Jiang Tian, Zhi-Xiang Dong, Zhen-Xing Liu, Jun Guo

“…In addition, gut microbiota can affect brain functions such as learning and memory through metabolites. …”
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Soil-transmitted helminth infection, loss of education and cognitive impairment in school-aged children: A systematic review and meta-analysis. by Noel Pabalan, Eloisa Singian, Lani Tabangay, Hamdi Jarjanazi, Michael J Boivin, Amara E Ezeamama

“…<h4>Methods</h4>Medline, Biosis and Web of Science were searched for original studies published in the English language. Cognitive function was defined in four domains (learning, memory, reaction time and innate intelligence) and educational loss in two domains (attendance and scholastic achievement). …”
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