Machine learning technology in the classification of glaucoma severity using fundus photographs by Sukhumal Thanapaisal, Passawut Uttakit, Worapon Ittharat, Pukkapol Suvannachart, Pawasoot Supasai, Pattarawit Polpinit, Prapassara Sirikarn, Panawit Hanpinitsak

“…Abstract This study evaluates the performance of a machine learning model in classifying glaucoma severity using color fundus photographs. …”
Get full text

Comparative analysis of machine learning models and explainable AI for agriculture drought prediction: A case study of the Ta-pieh mountains by Lichang Xu, Shaowei Ning, Xiaoyan Xu, Shenghan Wang, Le Chen, Rujian Long, Shengyi Zhang, Yuliang Zhou, Min Zhang, Bhesh Raj Thapa

“…The framework employs four machine learning models: Extreme Gradient Boosting (XGBoost), Random Forest (RF), Long Short-Term Memory (LSTM) networks, and Backpropagation Neural Networks (BPNN). …”
Get full text

Circadian rhythm genes and immune cell infiltration in myasthenia gravis: A comprehensive analysis. by Ke Wang, Peng Xu, Jing Lu, Xinchen Ji, Ying Zhang, Yibin Zhang, Dongxu Li, Dongmei Zhang, Tianye Lan, Jian Wang

“…The fluctuating weakness in myasthenia gravis (MG) is clinically described as the "morning improvement and evening worsening" pattern; MG is commonly associated with sleep disorders. …”
Get full text

Research on the Spiral Rolling Gait of High-Voltage Power Line Serpentine Robots Based on Improved Hopf-CPGs Model by Zhiyong Yang, Zhen Fang, Shengze Yang, Yuhong Xiong, Daode Zhang

“…Simulation analysis using Simulink–CoppeliaSim evaluates the robot’s obstacle-crossing ability and the optimization of deflection joint signal noise. …”
Get full text

A Novel Aerosol Optical Depth Retrieval Method Based on SDAE from Himawari-8/AHI Next-Generation Geostationary Satellite in Hubei Province by Shiquan Deng, Ting Bai, Zhe Chen, Yepei Chen

“…Traditional machine learning methods such as Extreme Learning Machines (ELMs), BackPropagation Neural Networks (BPNNs), and Support Vector Machines (SVMs) are also used to evaluate model performance. …”
Get full text

Enhancing Tomato Leaf Disease Detection via Optimized VGG16 and Transfer Learning Techniques by Sandy Putra Siregar, Imam Akbari, Poningsih Poningsih, Anjar Wanto, Solikhun Solikhun

“…Convolutional Neural Networks (CNNs) perform well in image classification and pattern identification, although they are prone to overfitting. …”
Get full text

Preferences for home-based care services during China’s long-term care market transition: evidence from a discrete choice experiment by Zihan Ni, Xiuyuan Zhu, Jing Guo, Shiyu Xie, Shimeng Liu, Xiaoguang Yang

“…Together, these factors jointly shape how people evaluate and choose home-based care services during China’s long-term care market transformation. …”
Get full text

Automatic detection and prediction of epileptic EEG signals based on nonlinear dynamics and deep learning: a review by Shixiao Tan, Zhen Tang, Qiang He, Ying Li, Yuliang Cai, Jiawei Zhang, Di Fan, Zhenkai Guo

“…In recent years, nonlinear dynamics methods such as chaos theory, fractal analysis, and entropy computation have provided new perspectives for EEG signal analysis, while deep learning approaches like convolutional neural networks and long short-term memory networks further enhance the robustness of dynamical pattern recognition through end-to-end nonlinear feature extraction. …”
Get full text

Climate change induced extreme meteorological conditions over sub-tropical environment: pathways towards achieving Sustainable Development Goals (SDGs) by Asish Saha, Subodh Chandra Pal, Aznarul Islam, Abu Reza Md. Towfiqul Islam, Chaitanya Baliram Pande, Edris Alam, Md Kamrul Islam

“…The rainfall prediction up to 2037 was evaluated using the “multi-layer perception-artificial neural network” model. …”
Get full text

Enhanced recovery pathway for older people with hip fracture and cognitive impairment in acute hospitals: the PERFECTED research programme including an RCT by Chris Fox, Simon P Hammond, Lee Shepstone, Fiona Poland, Catherine Henderson, Tamara Backhouse, Bridget Penhale, Simon Donell, Martin Knapp, Douglas Lewins, Alasdair MacLullich, Martyn Patel, Opinder Sahota, Toby O Smith, Justin Waring, Jane L Cross

“…Work package 3: feasibility trial We undertook a feasibility, multicentre, cluster RCT with integral economic evaluation. In line with Medical Research Council guidance for complex interventions, we also conducted an integrated multimethod multiperspective (from patients, suitable informants and NHS professionals) process evaluation. …”
Get full text

γ neuromodulations: unraveling biomarkers for neurological and psychiatric disorders by Zhong-Peng Dai, Qiang Wen, Ping Wu, Yan-Ni Zhang, Cai-Lian Fang, Meng-Yuan Dai, Hong-Liang Zhou, Huan Wang, Hao Tang, Si-Qi Zhang, Xiao-Kun Li, Jian-Song Ji, Liu-Xi Chu, Zhou-Guang Wang

“…We investigate how monitoring dynamic features of γ oscillations allows for detailed evaluations of neuromodulation effectiveness. By targeting γ oscillatory patterns and restoring healthy cross-frequency coupling, interventions may alleviate cognitive and behavioral symptoms linked to disrupted communication. …”
Get full text

Improvised Spectral Efficiency and Channel Estimation Parameters in Visible Light Vehicular Communication by Integrating Simulation of Urban Mobility Data by Ali H. Wheeb, Sudhanshu Maurya, Shaik Karimullah, Fahimuddin Shaik, Subrata Chowdhury, B. V. V. Siva Prasad, Anurag Sinha, Adamya Sood, Syed Abid Hussain

“…This paper proposes an OFDM-QAM-based VLC system to enhance spectral efficiency and improve channel estimation accuracy in vehicular networks. To achieve this, we leverage Simulation of Urban Mobility (SUMO) data, which provides detailed insights into vehicular movement and traffic patterns. …”
Get full text

Human immunodeficiency virus prevention and testing strategies among men who have sex with men in the UK: the PANTHEON research programme including the SELPHI RCT by Janey Sewell, T Charles Witzel, David Dunn, Fiona Lampe, Fiona Burns, Peter Weatherburn, Sheena McCormack, Leanne McCabe, Alec Miners, Valentina Cambiano, Roger Pebody, Roy Trevelion, Nadia Hanum, Andrew Phillips, Alison Rodger

“…To develop and undertake a process evaluation to assess what worked well about the RCT intervention and for whom. …”
Get full text

A Temporal-Spectral Fused and Attention-Based Deep Model for Automatic Sleep Staging by Guidan Fu, Yueying Zhou, Peiliang Gong, Pengpai Wang, Wei Shao, Daoqiang Zhang

Get full text

Integrated assessment of environmental suitability and water-energy conflict for optimizing solar energy in Northwest China's desert regions by Weike Zhao, Zhangxinyue Zhao, Wenjuan Hou, Dezheng Jiang, Kaijin Zhang, Xueliang Zhang

Get full text

Deep Learning-Based Cascaded Light Source Detection for Link Alignment in Underwater Wireless Optical Communication by Bowen Jia, Wenmin Ge, Jingxuan Cheng, Zihao Du, Renming Wang, Guangbin Song, Yufan Zhang, Chengye Cai, Sitong Qin, Jing Xu

“…In this paper, deep neural networks (DNNs) with strong feature extraction capabilities are introduced to automatically learn the patterns of the light source from diverse images. …”
Get full text

Applications of artificial intelligence in neurosurgical education: a scoping review by Hector Julio Piñera-Castro, Christian Borges-García

“…Simulation training utilized neural networks to classify expertise and deliver individualized feedback, though rigid metrics risked oversimplifying skill progression. …”
Get full text

Supramolecular assembly of hypervalent iodine macrocycles and alkali metals by Krishna Pandey, Lucas X. Orton, Grayson Venus, Waseem A. Hussain, Toby Woods, Lichang Wang, Kyle N. Plunkett

“…Both crystal structures show a pattern of assembly between HIM and metal cation in 2:1 ratio. …”
Get full text

Mapping the research landscape of PET/CT in lymphoma: insights from a bibliometric analysis by Die Zhang, Jianding Peng, Yingjie Zhu, Qiang Gong, Qing Wang, Chaodong Xiang, Hanjian Du, Xiaofei Hu

“…Using CiteSpace, VOSviewer, and Bibliometrix R, we evaluated country/institutional contributions, co-citation networks, keyword trends, and employed linear regression for trend forecasting.ResultsA total of 2,962 papers related to PET/CT and lymphoma were published during the study period. …”
Get full text

Role of hypoxia-related genes and immune infiltration in intervertebral disc degeneration: molecular mechanisms and diagnostic potential by Kai Zhou, Jiaxiang Zhou, XianJin Luo, Yan Chen, Jian Ao, Wei Wu, Bo Yang, Zhongyuan He

“…Protein-protein interaction (PPI) networks were built in STRING and visualized with Cytoscape, identifying core genes with MCODE and CytoHubba. …”
Get full text