Investigating the impact of social media images on users' sentiments towards sociopolitical events based on deep artificial intelligence. by Nafiseh Jabbari Tofighi, Reda Alhajj

“…Using advanced machine learning and deep learning methods for sentiment analysis, textual data were classified to determine the expressed sentiments. …”
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Cross-Curricular Analysis of Picture Books in the Fifth Grade of Primary School: A Case Study by Janja Batič, Petra Lebar Kac

“…The visual aspect, which equally carries a message, is often neglected. …”
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Netrin‐4 Modulates Corneal Wound Healing by Enhancing Corneal Epithelium and Nerve Regeneration by Cissy Xiao, Daniel Lara‐Newman, Qiang Zhou, Mark I. Rosenblatt, Victor H. Guaiquil

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Achilles' ear? Inferior human short-term and recognition memory in the auditory modality. by James Bigelow, Amy Poremba

“…The results are interpreted in light of neuropsychological data from nonhuman primates, which suggest a difference in the degree to which auditory, visual, and tactile memory are mediated by the perirhinal and entorhinal cortices.…”
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Assessment and Validation of a Computer Vision Algorithm for Wildfire Rate of Spread Estimation by Ehsan Ameri, Kyle Awayan, Jeanette Cobian-Iñiguez

“…This study aimed to develop and validate a computer vision algorithm for fire spread estimation. Using visual flame data from laboratory experiments on excelsior and pine needle fuel beds, we explored fire spread predictions for two types of experiments. …”
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Characterization of epiretinalmacrophage-like cells and retinochoroidal blood flow in acute macular neuroretinopathy by YANG Ruijun, WEN Feng, ZHANG Xiongze

“…Optical coherence tomography angiography (OCTA) was used to evaluate the perfusion status and obtain the structural data of macular within a 6 x 6 mm2 macular region. …”
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Aesthetic Value of the Relationship between the Shapes of the Face and Permanent Upper Central Incisor by Felipe de Oliveira Farias, Jussara P. Ennes, José Roberto Zorzatto

“…The Kappa test was used to determine the coefficient of agreement between the observers and the obtained data, and to assess the agreement between both classifications (metrical and visual). …”
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The Social Life of Residential Architecture: A Systematic Review on Identifying the Hidden Patterns Within the Spatial Configuration of Historic Houses by Seyedeh Maryam Moosavi, Còssima Cornadó, Reza Askarizad, Chiara Garau

“…A combination of bibliometric analysis using VOSviewer term mapping and SankeyMATIC visualisations was employed to categorise thematic concentrations and reveal methodological and regional distributed trends. …”
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Trends and challenges of forecasting in the airline industry research by Dewi Oki Anita Candra, Masruroh Nur Aini, Wibowo Budhi Sholeh

“…A science mapping analysis was executed to pinpoint research trends in airline forecasting using Biblioshiny to visualise the network analysis and thematic evolution keywords mapping. …”
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The brain-gut microbiota network (BGMN) is correlated with symptom severity and neurocognition in patients with schizophrenia by Runlin Peng, Wei Wang, Liqin Liang, Rui Han, Yi Li, Haiyuan Wang, Yuran Wang, Wenhao Li, Shixuan Feng, Jing Zhou, Yuanyuan Huang, Fengchun Wu, Kai Wu

“…In this study, 43 SZ patients and 55 normal controls (NCs) were included, and resting-state functional magnetic resonance imaging (rs-fMRI) and gut microbiota data were acquired for each participant. First, the brain features of brain images and functional brain networks were computed from rs-fMRI data; the gut features of gut microbiota abundance and the gut microbiota network were computed from gut microbiota data. …”
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NANOSTRUCTURAL ANALYSIS IN COMPARATIVE ESTIMATION OF DEGENERATIVE CHANGES IN INTERVERTEBRAL DISK by V. A. Byvaltsev, S. Yu. Panasenkov, E. G. Belykh, N. A. Ivanov, P. Yu. Tsiganov, V. A. Sorokovikov

“…As the result we obtained direct experimental data that proves some theoretical investigation that hadn't had. visual proves.…”
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Development of Bimodal Emotion Recognition System Based on Skin Temperature and Heart Rate Variability Using Hybrid Neural Networks by Sayat Orynbassar, Duygun Erol Barkana, Evan Yershov, Madiyar Nurgaliyev, Ahmet Saymbetov, Batyrbek Zholamanov, Gulbakhar Dosymbetova, Ainur Kapparova, Nursultan Koshkarbay, Nurzhigit Kuttybay, Askhat Bolatbek, Kymbat Kopbay, Dinara Almen

“…The results confirm the effectiveness of the proposed approach in combining physiological and visual signals for improved emotion recognition.…”
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Fuzzy logic-based IoT system for optimizing irrigation with cloud computing: Enhancing water sustainability in smart agriculture by Abdennabi Morchid, Zafar Said, Almoataz Y. Abdelaziz, Pierluigi Siano, Hassan Qjidaa

“…MATLAB is used to simulate and visualize fuzzy membership functions, enabling optimized decision-making. …”
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Association between learning style preferences and choices of teaching method among Iranian faculty members: A cross-sectional online survey by Mohsen Masoumian Hosseini, Somayeh Rajabzadeh, Babak Sabet, Roya Vatankhah, Seyed Mohammad Ebadirad

“…Analytical methods included descriptive statistics, logistic regression analysis, and chi-square testing for data evaluation. Results: The survey found that clinical teachers preferred reading and writing (54%), whereas fundamental science educators preferred visual-auditory and reading-writing. …”
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Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: A comparison of machine learning tools and feature selection approaches by Fatemeh Salek, Seyed Ahmad Mireei, Abbas Hemmat, Mehrnoosh Jafari, Mohammad R. Sabzalian, Majid Nazeri, Wouter Saeys

“…This study utilized hyperspectral imaging at the leaf level to visualize drought stress in safflower plants (Carthamus tinctorius L.). …”
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Enhancing implementation of information and communication technologies for post-discharge care among hospitalized older adult patients: development of a multifaceted implementation... by Dorothy Yingxuan Wang, Eliza Lai-Yi Wong, Annie Wai-Ling Cheung, Zoe Pui-Yee Tam, Kam-Shing Tang, Eng-Kiong Yeoh

“…Methods This study systematically applies the Behavior Change Wheel (BCW) approach, involving behavior diagnosis, identification of intervention options, and intervention content selection, informed by conceptual frameworks, empirical data, and relevant literature. Additionally, the Implementation Research Logic Model is utilized to synthesize, organize, and visually present the collected data. …”
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SAM-CTMapper: Utilizing segment anything model and scale-aware mixed CNN-Transformer facilitates coastal wetland hyperspectral image classification by Jiaqi Zou, Wei He, Haifeng Wang, Hongyan Zhang

“…Additionally, existing methods encounter difficulties in practical wetland classification tasks due to the high cost of hyperspectral wetland data labeling. This paper introduces SAM-CTMapper, a coastal wetland classification framework that incorporates a scale-aware mixed CNN-Transformer (CTMapper) to precisely identify wetland cover types using hyperspectral images, and the advanced segment anything model (SAM) to save labor costs in data labeling. …”
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Antifungal Metabolites from High-Altitude Soil Actinomycetes Isolated from Nepal by Sagar Aryal, F.P. Jake Haeckl, Rameshwar Adhikari, Balmukunda Regmi, Dev Raj Joshi

“…Feature-Based Molecular Networking (FBMN) was used to create molecular networks and visualized using Cytoscape v. 3.8.2. Evaluation of LC-MS data of the different active extracts revealed several known compounds that can plausibly exhibit antifungal activity. …”
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End-to-End Horse Gait Classification in Uncontrolled Environments Using Inertial Sensors by Mahaut Gerard, Sandrine Hanne-Poujade, Guillaume Dubois, Henry Chateau, Neila Mezghani

“…Unlike previous methods, we used raw IMU data without manually preselecting specific signal segments. …”
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Applicability of Technological Tools for Digital Agriculture with a Focus on Estimating the Nutritional Status of Plants by Bianca Cavalcante da Silva, Renato de Mello Prado, Cid Naudi Silva Campos, Fábio Henrique Rojo Baio, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo Teodoro, Dthenifer Cordeiro Santana

“…Digital agriculture encompasses terms such as artificial intelligence (AI), the Internet of Things (IoT), big data, and precision agriculture integrating information and communication with geospatial and satellite technologies to manage and visualize natural resources and agricultural production. …”
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