Exploring the correlations between time perception and street visual elements during walking based on eye-tracking technology –– an experimental study in Nanjing historic commercia... by Yuexin Wang, Yu Zhang

“…A framework based on deep transfer learning was proposed to analyze fixation time during dynamic visual processes. …”
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Proteomic alterations in ovarian cancer—Predicting residual disease status using artificial intelligence and SHAP-based biomarker interpretation by Seyma Yasar, Rauf Melekoglu

“…Predicting residual disease before surgery can improve patient stratification and personalized treatment strategies.MethodsThis study analyzed pre-NACT proteomic data from 20 HGSOC patients treated with NACT. Patients were categorized into two groups based on surgical outcomes: no residual disease (R0, n = 14) and suboptimal residual disease (R1, n = 6). …”
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Optimal Dimensionality Reduction using Conditional Variational AutoEncoder by Sana Boussam, Mathieu Carbone, Benoît Gérard, Guénaël Renault, Gabriel Zaid

“… The benefits of using Deep Learning techniques to enhance side-channel attacks performances have been demonstrated over recent years. …”
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Artificial Intelligence–Enabled ECGs for Atrial Fibrillation Identification and Enhanced Oral Anticoagulant Adoption: A Pragmatic Randomized Clinical Trial by Wei‐Ting Liu, Chin Lin, Chiao‐Chin Lee, Chiao‐Hsiang Chang, Wen‐Hui Fang, Dung‐Jang Tsai, Wen‐Yu Lin, Yuan Hung, Kai‐Chieh Chen, Chun‐Ho Lee, Tsung‐Neng Tsai, Wei‐Shiang Lin, Yi‐Jen Hung, Shih‐Hua Lin, Chien‐Sung Tsai, Chin‐Sheng Lin

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Sex-specific cardiometabolic multimorbidity, metabolic syndrome and left ventricular function in heart failure with preserved ejection fraction in the UK Biobank by Ambre Bertrand, Xin Zhou, Andrew Lewis, Thomas Monfeuga, Ramneek Gupta, Vicente Grau, Blanca Rodriguez

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Application analysis of radiomics models based on high-resolution T2-weighted MR images for evaluating the effectiveness of neoadjuvant chemoradiotherapy in locally advanced rectal... by Liu Minglu, Shen Fu, Wang Hao, Chen Qi, Lu Jianping

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Predictive outcome of late window ischemic stroke patients following endovascular therapy: a multi-center study by Sijie Zhou, Mohammad Mofatteh, Zhikai Chen, Zhikai Chen, Jinyan Tang, Jicai Ma, Ziqi Ouyang, Jian Wang, Senrong Luo, Yuankang He, Zhenzhang Li, Zhenzhang Li, Yuzheng Lai, Xuxing Liao

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Thermal stability and microstructure of fluorine-free hydrophobic coatings of gas diffusion layers for fuel cell applications by Florian Tritscher, Alexander Pranter, Fabio Blaschke, Werner Napetschnig, Maximilian Fuchs, Eduardo Machado-Charry, Viktor Hacker, Merit Bodner

“…A main focus of this work is the investigation of the uniformity and overall porosity of the polyaniline coatings on GDLs via µCT supported by deep learning. This analysis is complemented with fluid dynamics simulations to determine the tortuosity and the gas flow through the GDL. …”
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Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink by Xinyu Feng, Mohammed El-Hajjar, Chao Xu, Lajos Hanzo

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Age-Related Scattered Hypofluorescent Spots as an Adverse Prognostic Factor for Polypoidal Choroidal Vasculopathy by Seo Hee Kim, MD, Kai Tzu-iunn Ong, Seonghee Choi, MD, Eun Jee Chung, MD, PhD, Min Kim, MD, PhD, Christopher Seungkyu Lee, MD, PhD, Jinyoung Yeo, PhD, Eun Young Choi, MD, PhD

“…This study aims to investigate the association between ASHS-LIA in PCV and prognosis using the AdaBoost machine learning model. Design: A cross-sectional study. Participants: The study included patients diagnosed with PCV and treated with anti-VEGF therapy at 2 medical institutions between 2012 and 2021. …”
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The PANEN nomogram: clinical decision support for patients with metastatic pancreatic neuroendocrine neoplasm referred for peptide receptor radionuclide therapy by Aviral Singh, Aviral Singh, Aviral Singh, Sebastian Sanduleanu, Harshad R. Kulkarni, Thomas Langbein, Philippe Lambin, Richard P. Baum

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Leveraging near-real-time patient and population data to incorporate fluctuating risk of severe COVID-19: development and prospective validation of a personalised risk prediction t... by Kaitlin Swinnerton, Nathanael R. Fillmore, Austin Vo, Jennifer La, Danne Elbers, Mary Brophy, Nhan V. Do, Paul A. Monach, Westyn Branch-Elliman

“…Findings: 216,890 SARS-CoV-2 infections in Veterans not treated with oral antivirals were included (median age, 65; 88% male). …”
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Big Data Analysis Using Apache Spark MLlib and Hadoop HDFS with Scala and Java by Hoger Khayrolla Omar, Alaa Khalil Jumaa

“…Apache Spark is another tool that developed and established to be the real model for analyzing big data with its innovative processing framework inside the memory and high-level programming libraries for machine learning, efficient data treating and etc. In this paper, some comparisons are presented about the time performance evaluation among Scala and Java in apache spark MLlib. …”
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Transformer attention fusion for fine grained medical image classification by Danyal Badar, Junaid Abbas, Raed Alsini, Tahir Abbas, Wang ChengLiang, Ali Daud

“…The presented research demonstrates how fine-grained visual classification methods benefit detecting and treating DR during its early stages.…”
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Multi-atlas ensemble graph neural network model for major depressive disorder detection using functional MRI data by Nojod M. Alotaibi, Areej M. Alhothali, Manar S. Ali

“…Deep learning techniques have been widely applied to neuroimaging data to help with early mental health disorder detection. …”
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Clustering and Interpretability of Residential Electricity Demand Profiles by Sarra Kallel, Manar Amayri, Nizar Bouguila

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An Efficient 3D Convolutional Neural Network for Dose Prediction in Cancer Radiotherapy from CT Images by Lam Thanh Hien, Pham Trung Hieu, Do Nang Toan

“…These results may help doctors in treating cancer with radiation therapy in terms of both time and effectiveness.…”
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Brain tissue oxidative damage as a possible mechanism for the deleterious effect of a chronic high dose of estradiol on learning and memory in ovariectomized rats Dano oxidativo ao... by Fatimeh Khodabandehloo, Mahmoud Hosseini, Ziba Rajaei, Mohammad Soukhtanloo, Esmaeil Farrokhi, Mohsen Rezaeipour

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Utilizing plant-based biogenic volatile organic compounds (bVOCs) to detect aflatoxin in peanut plants, pods, and kernels by Daniel E. Sabo, Justin J. Pitts, Olga Kemenova, Christopher A. Heist, Benjamin Joffe, Xiaojuan (Judy) Song, William M. Hammond

“…A field trial for detection of aflatoxin using bVOCs was conducted in August–September of 2020 where three test groups were prepared: plants treated with Aspergillus fungus; plants treated with Afla-Guard (biocontrol agent); plants not treated – acting as a control group. …”
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Detection of Epilepsy Disorder Using Spectrogram Images Generated From Brain EEG Signals by Venkatesh Bhandage, Tejeswar Pokuri, Devansh Desai, Andrew Jeyabose

“…In this paper, we propose a deep learning based approach for the early detection of epilepsy via EEG Spectrogram images. …”
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