Evaluation and Early Detection of Downy Mildew of Lettuce Using Hyperspectral Imagery by Songtao Ban, Minglu Tian, Dong Hu, Mengyuan Xu, Tao Yuan, Xiuguo Zheng, Linyi Li, Shiwei Wei

“…This study combines hyperspectral imaging technology with biochemical parameter analysis to facilitate the disease severity evaluation and early detection of lettuce downy mildew. …”
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Comprehensive Stress-Based De Novo Transcriptome Assembly and Annotation of Guar (Cyamopsis tetragonoloba (L.) Taub.): An Important Industrial and Forage Crop by Fahad Al-Qurainy, Aref Alshameri, Abdel-Rhman Gaafar, Salim Khan, Mohammad Nadeem, Abdulhafed Abdullah Alameri, Mohamed Tarroum, Muhammad Ashraf

“…Taub.) has the ability to endure heat, drought, and mild salinity. A complete image on its genic architecture will promote our understanding about gene expression networks and different tolerance mechanisms at the molecular level. …”
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Compatibility Between OLCI Marine Remote-Sensing Reflectance from Sentinel-3A and -3B in European Waters by Frédéric Mélin, Ilaria Cazzaniga, Pietro Sciuto

“…There has been an uninterrupted suite of ocean-color missions with global coverage since 1997, a continuity now supported by programs ensuring the launch of a series of platforms such as the Sentinel-3 missions hosting the Ocean and Land Color Imager (OLCI). The products derived from these missions should be consistent and allow the analysis of long-term multi-mission data records, particularly for climate science. …”
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An Integrated UAV and Deep Learning Framework With HSB-Based Segmentation for Automated Slope Anomaly Detection in Mountainous Soil and Water Conservation Sites by Nai-Hsin Pan, Bo-Yuan Chang

“…By integrating UAVs for data acquisition and deep learning for automated analysis, the proposed system significantly reduces human labor costs, improves inspection efficiency, and provides a robust and reliable solution for anomaly detection and analysis. …”
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Artificial intelligence in acupuncture: bridging traditional knowledge and precision integrative medicine by Guo-Liang Hou, Bao-Qiang Dong, Ben-Xing Yu, Jian-Yu Dai, Xing-Xing Lin, Ze-Zhong Cheng

“…For instance, convolutional neural networks (CNNs) have been successfully applied to classify tongue images and detect ZHENG patterns, while transformer-based NLP models enable automated extraction of clinical knowledge from classical texts. …”
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Possible Health Benefits and Risks of DeepFake Videos: A Qualitative Study in Nursing Students by Olga Navarro Martínez, David Fernández-García, Noemí Cuartero Monteagudo, Olga Forero-Rincón

“…Background: “DeepFakes” are synthetic performances created by AI, using neural networks to exchange faces in images and modify voices. …”
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New Advances of the P-SBAS Approach for an Efficient Parallel Processing of Large Volumes of Full-Resolution Multitemporal DInSAR Interferograms by Manuela Bonano, Pasquale Striano, Muhammad Yasir, Sabatino Buonanno, Francesco Casu, Claudio De Luca, Adele Fusco, Yenni Lorena Belen Roa, Ivana Zinno, Maria Virelli, Michele Manunta, Riccardo Lanari

“…To assess the quality of the generated DInSAR products, an extensive experimental analysis is also shown, based on long sequences of X-Band COSMO-SkyMed Stripmap and C-Band Sentinel-1 TOPS acquisitions relevant to the Campi Flegrei Caldera (Southern Italy), which is monitored through a dense GNSS network. …”
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Intelligent Prediction of Human Health Risks Based on Medical History: A Review by Mais Irreem kamal, Fawziya Ramo

“…Enhance patient medical care using intelligent prediction models such as machine learning, like gradient boosting trees, supervised machine learning and logistic regression which have a great importance in detecting diseases by analyzing medical images and diagnosing chronic diseases, in addition to use deep learning models like deep neural networks, recurrent neural networks, and long short term memory to predict many disease like depression risk, lung cancer, heart diabetic and kidney diseases. …”
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Functional Alterations of the Basal Ganglia Are Associated with Voluntary Activation of the Core Stabilizing Muscles in Patients with Chronic Low Back Pain: A Cross-Sectional Study by Chanjuan Zhang, Xi Chen, Yi Yin, Dongfeng Xie, Jing Luo, Yinan Ai, Wenfeng Zhan, Hongjun Kan, Shuxian Zhang, Guihua Jiang, Xiquan Hu

“…We obtained structural and resting-state functional magnetic resonance imaging (rs-fMRI) data from 53 patients with CLBP and 67 healthy controls and estimated the alterations in grey matter volume (GMV) and functional and effective connectivity (EC) of regions with altered GMV via whole brain analysis. …”
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INNOVATIVE TRANSFORMATIONS IN HIGHER EDUCATION SYSTEM OF AZERBAIJAN IN 2005/06 – 2022/23 ACADEMIC YEARS by Abasova Samira Huseyn qizi

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Design and validation of consumer behavior model based on user-generated content in the banking industry by Sepahdar Rahnama, Marzieh ZendehDel, Mir Hadi Moazen Jamshidi

“…MICMAC software was used in qualitative part data analysis and SPSS and PLS software was used in quantitative part. …”
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The integration of artificial intelligence in assisted reproduction: a comprehensive review by Pragati Kakkar, Shruti Gupta, Kasmiria Ioanna Paschopoulou, Ilias Paschopoulos, Ioannis Paschopoulos, Vassiliki Siafaka, Orestis Tsonis

“…AI's capacity for precise image-based analysis, leveraging convolutional neural networks, stands out as a promising avenue. …”
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Electric Motor Vibration Signal Classification Using Wigner–Ville Distribution for Fault Diagnosis by Jian-Da Wu, Wen-Jun Luo, Kai-Chao Yao

“…The brushless motor vibration signal is imaged using the WVD analysis method to extract the vibration signal characteristics. …”
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Childhood brain morphometry in children with persistent stunting and catch-up growth. by Beena Koshy, Vedha Viyas Thilagarajan, Samuel Berkins, Arpan Banerjee, Manikandan Srinivasan, Roshan S Livingstone, Venkata Raghava Mohan, Rebecca Scharf, Anitha Jasper, Gagandeep Kang

“…<h4>Interpretation</h4>To the best of our knowledge, this first neuroimaging analysis to investigate the effects of persistent childhood stunting and catch-up growth on brain volumetry indicates impairment at different brain levels involving total brain and subcortical volumes, networking/connecting centres (thalamus, basal ganglia, callosum, cerebellum) and visual processing area of lateral occipital cortex.…”
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CLUMM: Contrastive Learning for Unobtrusive Motion Monitoring by Pius Gyamenah, Hari Iyer, Heejin Jeong, Shenghan Guo

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An in vitro neurobacterial interface reveals direct modulation of neuronal function by gut bacteria by Juan Lombardo-Hernandez, Jesús Mansilla-Guardiola, Riccardo Aucello, Cristian Botta, Maria Teresa García-Esteban, Antonio Murciano-Cespedosa, David Muñoz-Rodríguez, Elisa Quarta, Álvaro Mateos González, Carmen Juan-Llamas, Kalliopi Rantsiou, Stefano Geuna, Luca Cocolin, Celia Herrera-Rincon

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Investigation of landslide areas in Tokat-Almus road between Bakımlı-Almus by the PS-InSAR method (Türkiye) by Oktar Osman

“…Both ascending and descending synthetic aperture radar (SAR) images covering the same period (30 images between February 2022 and February 2023) were analyzed. …”
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Construction of the preoperative staging prediction model for cervical cancer based on deep learning and MRI: a retrospective study by Xuhao Dai, Xiaoxian Ye, Jiangping Ren, Jiming Yang, Yingying Zhou, Zhaoyang Ma, Pengrong Lou

“…Traditional staging methods rely on manual imaging analysis, which is subjective and time-consuming. …”
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Understanding Altered Dynamics in Cocaine Use Disorder Through State Transitions Mediated by Artificial Perturbations by Yi Zheng, Yaqian Yang, Yi Zhen, Xin Wang, Longzhao Liu, Hongwei Zheng, Shaoting Tang

“…<b>Methods</b>: Here, we used resting-state functional magnetic resonance imaging (fMRI) data from 43 CUD patients and 45 healthy controls (HCT). …”
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Enhancing FDG Production Efficiency on Explora FDG4 Synthesis Module: A Journey of Innovation and Excellence at Neurospinal & Cancer Care Post Graduate Institute by Syed Muhammad Haider Zaidi, Fatima Batool, Naheed Ghaffar

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