Quali-quanti visual methods and political bots by Janna Joceli Omena, Thais Lobo, Giulia Tucci, Elias Bitencourt, Emillie de Keulenaar, Francisco W. Kerche, Jason Chao, Marius Liedtke, Mengying Li, Maria Luiza Paschoal, Ilya Lavrov

“…Such analyses tackle methodological challenges inherent in bot studies by employing three key strategies: 1) designing context-sensitive queries and curating datasets with platforms’ interfaces and search engines to mitigate the limitations of bot scoring detectors, 2) engaging qualitatively with data visualisations to understand the vernaculars of bots, and 3) adopting a non-binary analysis framework that contextualises bots within their socio-technical environments. …”
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Hierarchical Modeling of the Thermal Insulation Performance of Novel Plasters with Aerogel Inclusions by Eugene D. Skouras, Georgia Tsolou, Alexandros N. Kalarakis

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A triple pronged approach for ulcerative colitis severity classification using multimodal, meta, and transformer based learning by Md. Nasim Ahmed, Dipta Neogi, Muhammad Rafsan Kabir, Shafin Rahman, Sifat Momen, Nabeel Mohammed

“…To address limited annotated data, we deploy few-shot meta-learning approaches (e.g., Matching Networks), attaining 83% accuracy in a 5-shot context. …”
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RehabHand—A New Physical Rehabilitation Training Dataset: Construction and Benchmark Performances of the Relevant Hand Tasks by Sinh Huy Nguyen, Hoang Bach Nguyen, Thi Thu Hong Le, Chi Thanh Nguyen, Thi Thanh Huyen Nguyen, Quynh Tho Chu, Thi Lan Le, Thanh Hai Tran, Hai Vu

“…To evaluate the performance of recent neuronal networks, we extract 4500 still images to label eight classes including left- and right-hand, and other objects involved in the exercises. …”
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Recent Advancement in Postharvest Loss Mitigation and Quality Management of Fruits and Vegetables Using Machine Learning Frameworks by Abha Singh, Gayatri Vaidya, Vishal Jagota, Daniel Amoako Darko, Ravindra Kumar Agarwal, Sandip Debnath, Erich Potrich

“…Deep learning has shown to be a sophisticated approach for big data analysis, with several successful cases in image processing, object identification, and other domains. …”
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Exploring neural changes associated with suicidal ideation and attempts in major depressive disorder: A multimodal study by Juan Deng, Maomao Zhang, Guangxiang Chen, Xiaofei Lu, Xiaotong Cheng, Cheng Qin, Mingyuan Tian, Ke Gong, Kezhi Liu, Jing Chen, Wei Lei

“…To explore the structural and functional neural changes associated with SI and SA, we analyzed multimodal Magnetic Resonance Imaging (MRI) data from 159 participants, including those with MDD with suicide attempts (SA group, n = 34), those with MDD with suicidal ideation but not attempts (SI group, n = 53), those with MDD without suicidal ideation (NSI group, n = 14), and healthy controls (HC, n = 59). …”
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Machine learning for experimental design of ultrafast electron diffraction by Mohammad Shaaban, Sami El-Borgi, Aravind Krishnamoorthy

“…We demonstrate that machine learning methods based on Convolutional Neural Networks trained on synthetic and experimental diffraction patterns can perform real-time analysis of diffraction data to resolve dynamical processes in a representative material, $${\textrm{MoTe}_{2}}$$ , and identify signs of material damage. …”
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Classification of Dyslexia Among School Students Using Deep Learning by Alia Hussein, Ahmed Talib Abdulameer, Ali Abdulkarim, Husniza Husni, Dalia Al-Ubaidi

“…CNNs are powerful deep-learning models capable of extracting complex patterns from data. In this research, raw audio signals from dyslexic and non-dyslexic children are transformed into spectrogram images. …”
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Machine Learning Methods for Evaluation of Technical Factors of Spraying in Permanent Plantations by Vjekoslav Tadić, Dorijan Radočaj, Mladen Jurišić

“…A method using water-sensitive paper and a digital image analysis was used to collect data on coverage factors. …”
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Deciphering the role of metal ion transport-related genes in T2D pathogenesis and immune cell infiltration via scRNA-seq and machine learning by Zuhui Pu, Zuhui Pu, Tony Bowei Wang, Ying Lu, Ying Lu, Zijing Wu, Zijing Wu, Yuxian Chen, Ziqi Luo, Xinyu Wang, Lisha Mou, Lisha Mou

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Mechanism of Influence of Spatial Perception on Residents’ Emotion in Child-Friendly Urban Streets of Fuzhou City by Shaofeng CHEN, Zhengyan CHEN, Yuhan XU, Zheng DING

“…Data sources include 53,771 Baidu Street View images, 1,474 social media texts (from platforms like Weibo and government portals), and human − machine adversarial scores derived from 40 children − caregiver dyads evaluating street safety perceptions. …”
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GrainNet: efficient detection and counting of wheat grains based on an improved YOLOv7 modeling by Xin Wang, Changchun Li, Chenyi Zhao, Yinghua Jiao, Hengmao Xiang, Xifang Wu, Huabin Chai

“…Results To enable fast and accurate counting of wheat grains under severe adhesion and complex scenarios, this study collected images of wheat grains from different varieties, backgrounds, densities, imaging heights, adhesion levels, and other natural conditions using various imaging devices and constructed a comprehensive wheat grain dataset through data enhancement techniques. …”
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Three-Dimensional Curved Workflow-Based Optical Coherence Tomography Angiography for Enhancing Atopic Dermatitis Theranostics by Junwei Li, Yunrui Zhang, Ying Huang, Ronghui Li, Kun Wang, Dongbei Guo, Zicheng Huang, Youliang Yao, Yunxin Xue, Guibo Sun, Cheng Jiang, Leyun Wang, Chenzhong Li, Qingliang Zhao

“…However, current data analysis and clinical evaluation criteria primarily rely on 2-dimensional (2D) imaging results, resulting in imprecise diagnoses due to the substantial loss of 3D curved structures and microvascular details. …”
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Genetic and molecular basis of abnormal BOLD signaling variability in patients with major depressive disorder after electroconvulsive therapy by Siyu Fan, Yulin Zhang, Rui Qian, Jie Hu, Hao Zheng, Wentao Dai, Yang Ji, Yue Wu, Xiaohui Xie, Si Xu, Gong-Jun Ji, Yanghua Tian, Kai Wang

“…Resting-state functional magnetic resonance imaging (fMRI) data were collected from 84 individuals with MDD and healthy controls before and after ECT, and coefficient of variation of the BOLD signal (CVBOLD) analysis was combined with region of interest (ROI) functional connectivity (FC) analysis. …”
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Providing a model of consumer behavior in creating brand attachment with an emphasis on the packaging component of food industry companies by maziar Ghasemzadeh Sangroudi, karim hamdi, SHADAN VAHABZADEH MUNSHI

“…In this research, thematic analysis method was used to analyze qualitative data. …”
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Enhanced classification of tinnitus patients using EEG microstates and deep learning techniques by Zahra Raeisi, Abolfazl Sodagartojgi, Fahimeh Sharafkhani, Amirsadegh Roshanzamir, Hossein Najafzadeh, Omid Bashiri, Alireza Golkarieh

“…Classification was performed using SVM, Decision Tree, Random Forest, and Deep Neural Networks. Additionally, pre-trained models (VGG16, ResNet50, Xception) were used with a novel feature-to-image transformation approach for validation. …”
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Random splicing assisted deep learning for breast cancer cell line classification via Raman spectroscopy by Yiheng Liu, Junfeng Liu, Jiayi Wan, Hongke Hao, Guangxing Liu, Xia Huang

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System- and sample-agnostic isotropic three-dimensional microscopy by weakly physics-informed, domain-shift-resistant axial deblurring by Jiashu Han, Kunzan Liu, Keith B. Isaacson, Kristina Monakhova, Linda G. Griffith, Sixian You

“…Abstract Three-dimensional subcellular imaging is essential for biomedical research, but the diffraction limit of optical microscopy compromises axial resolution, hindering accurate three-dimensional structural analysis. …”
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Components of stakeholder participation to create value in the banking industry in East Azerbaijan Agricultural Bank by Alireza Tagavi, Alireza Bafandeh Zendeh, Samad Aali

“…The findings showed that by means of the theme analysis method, the theme network of factors affecting the participation of stakeholders was extracted with 103 basic themes, 20 organizing themes, and 5 inclusive themes. …”
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Application of Artificial Intelligence Models to Predict the Onset or Recurrence of Neovascular Age-Related Macular Degeneration by Francesco Saverio Sorrentino, Marco Zeppieri, Carola Culiersi, Antonio Florido, Katia De Nadai, Ginevra Giovanna Adamo, Marco Pellegrini, Francesco Nasini, Chiara Vivarelli, Marco Mura, Francesco Parmeggiani

“…Novel applications of AI to nAMD have focused on image analysis, specifically for the automated segmentation, extraction, and quantification of imaging-based features included within optical coherence tomography (OCT) pictures. …”
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