Discovering the key symptoms for identifying patterns in functional dyspepsia patients: A doctor's decision and machine learning by Da-Eun Yoon, Heeyoung Moon, In-Seon Lee, Younbyoung Chae

Subjects: “…Functional dyspepsia…”
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Cutting-edge tech for basketball: Virtual reality and machine learning in executive function and decision-making training by Ahmad Rahmadani, Oki Candra, Feby Elra Perdima, Novri Gazali, Mohd Sofian Omar-Fauzee

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Research on monthly runoff prediction model considering secondary decomposition of multiple fitness functions and deep learning by Zhongfeng Zhao, Xueni Wang, Hua Jin, Jie Zheng

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Functional role of cell classes in monkey prefrontal cortex after learning a working memory task by Amirreza Asadi, Christos Constantinidis, Mohammad Reza Daliri

“…To investigate this issue, we analyzed single-unit recordings from the PFC of monkeys during the passive viewing phase before they learned the task rules and after learning, during the execution of active working memory tasks (spatial and feature). …”
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Machine learning model for differentiating malignant from benign thyroid nodules based on the thyroid function data by Quan Zhou, Lihua Zhang, Nan Xiang, Lele Zhang, Fuqiang Ma, Fengchang Yu, Shenhui Lv, Zhilin Lu, He-Rong Mao

“…Objectives To develop and validate a machine learning (ML) model to differentiate malignant from benign thyroid nodules (TNs) based on the routine data and provide diagnostic assistance for medical professionals.Setting A qualified panel of 1649 patients with TNs from one hospital were stratified by gender, age, free triiodothyronine (FT3), free thyroxine (FT4) and thyroid peroxidase antibody (TPOAB).Participants Thyroid function (TF) data of 1649 patients with TNs were collected in a single centre from January 2018 to June 2022, with a total of 273 males and 1376 females, respectively.Measures Seven popular ML models (Random Forest, Decision Tree, Logistic Regression (LR), K-Neighbours, Gaussian Naive Bayes, Multilayer Perception and Gradient Boosting) were developed to predict malignant and benign TNs, whose performance indicators included area under the curve (AUC), accuracy, recall, precision and F1 score.Results A total of 1649 patients were enrolled in this study, with the median age of 45.15±13.41 years, and the male to female ratio was 1:5.055. …”
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Predicting acupuncture efficacy for neck pain based on functional connectivity features: a machine learning study by Zhen Gao, Mengjie Cui, Cheng Xu, Haijun Wang, Yanlin Zhang, Laixi Ji

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A hierarchical reinforcement learning approach for energy‐aware service function chain dynamic deployment in IoT by Shuyi Wang, Haotong Cao, Longxiang Yang

“…In this regard, a convolutional neural network‐based hierarchical reinforcement learning approach is provided to lower total energy consumption and carbon emissions in the dynamic service function chaining situations. …”
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Innovative machine learning-based prediction of early airway hyperresponsiveness using baseline pulmonary function parameters by Hua Yang, Xingru Zhao, Zhuochang Chen, Lihong Yang, Guihua Zhao, Chenxiao Xu, Jinyi Xu

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Machine-Learning Approach to Identify Organic Functional Groups from FT-IR and NMR Spectral Data by Gwanho Lee, Hyekyoung Shim, Juhyun Cho, Sang-Il Choi

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Synergistic detection of E. coli using ultrathin film of functionalized graphene with impedance spectroscopy and machine learning by Amrit Kumar, Shweta Mishra, R. K. Gupta, V. Manjuladevi

“…This study presents a novel, label-free approach for E. coli detection using ultrathin Langmuir-Blodgett films of octadecylamine functionalized (ODA)-functionalized graphene on gold electrodes, with a detection range spanning $$10^{1}-10^{6}$$ colony-forming units/mL (CFU/mL). …”
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RETRACTED: Effect of chronic hypoxia and hypercapnia on learning and memory function in mice and the expression of NT and CGRP in brain by Hangyu Xu, Hao Xu

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Predicting seizure onset zones from interictal intracranial EEG using functional connectivity and machine learning by Jared Pilet, Scott A. Beardsley, Chad Carlson, Christopher T. Anderson, Candida Ustine, Sean Lew, Wade Mueller, Manoj Raghavan

Subjects: “…Machine learning…”
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Machine Learning‐Driven Prediction, Preparation, and Evaluation of Functional Nanomedicines Via Drug–Drug Self‐Assembly by Chengyuan Zhang, Yuchuan Yuan, Qiong Xia, Junjie Wang, Kangkang Xu, Zhiwei Gong, Jie Lou, Gen Li, Lu Wang, Li Zhou, Zhirui Liu, Kui Luo, Xing Zhou

“…Nanomedicines, PEG‐coated indomethacin/paclitaxel nanomedicine (PiPTX), and laminarin‐modified indomethacin/paclitaxel nanomedicine (LiDOX), are developed with extended circulation and active targeting functions. Indomethacin/paclitaxel nanomedicine iDOX exhibits pH‐responsive drug release in the tumor microenvironment. …”
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Publisher Correction: A robust deep learning attack immune MRAM-based physical unclonable function by Mohammad Javad Adel, Mohammad Hadi Rezayati, Mohammad Hossein Moaiyeri, Abdolah Amirany, Kian Jafari

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Efficient Post-Quantum Cross-Silo Federated Learning Based on Key Homomorphic Pseudo-Random Function by Xiaoyuan Qin, Rui Xu

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Brain functional connectivity analysis of fMRI-based Alzheimer's disease data by Maitha S. Alarjani, Badar A. Almarri

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Feasibility of YOLOX computer model-based assessment of knee function compared with manual assessment for people with severe knee osteoarthritis by Tao Yang, Jie Zhao, Ben Wang, Li Wang, Hengzhe Bao, Bing Li, Wen Luo, Huiwen Zhao, Jun Liu

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Exploring Requirements Engineering for Machine Learning via a Product Case Study by Lynn Vonderhaar, Timothy Elvira, Juan Couder, Omar Ochoa

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Survey of research on application of heuristic algorithm in machine learning by Yanping SHEN, Kangfeng ZHENG, Chunhua WU, Yixian YANG

Subjects: “…parameter and structure optimization;feature optimization;ensemble pruning;prototype optimization;weighted voting ensemble;kernel function learning…”
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Deep Learning-Based Algorithm for Road Defect Detection by Shaoxiang Li, Dexiang Zhang

“…With the increasing demand for road defect detection, existing deep learning methods have made significant progress in terms of accuracy and speed. …”
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