Enhancing anemia detection through multimodal data fusion: a non-invasive approach using EHRs and conjunctiva images by Muhammad Ramzan, Muhammad Usman Saeed, Ghulam Ali

“…First, EHR records are preporcessed by selecting the most appropriate features using Random Forest. The features from the conjunctiva images are extracted using RCBAM (Reverse Convolution Block Attention Mechanism). …”
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Deep Learning–Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach by Sara Abbasi, Khosro Rezaee

“…Clinical evaluations of FoG, relying on patients’ subjective reports and manual examinations by specialists, are unreliable, and most detection methods are influenced by subject‐specific factors. …”
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An Effective Hybrid Deep Neural Network for Arabic Fake News Detection by Tahseen A. Wotaifi, Ban N. Dhannoon

“… Recently, the phenomenon of the spread of fake news or misinformation in most fields has taken on a wide resonance in societies. …”
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Nephroprotective Effect of Asparagus africanus Lam. Root Extract against Gentamicin-Induced Nephrotoxicity in Swiss Albino Mice by Welela Meka Kedir, Abebe Dukassa Dubiwak, Ebsa Tofik Ahmed

“…The kidney is the organ most vulnerable to nephrotoxic drugs such as gentamicin. …”
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Unbalanced Feature Identification of Rotor System Based on Fused Cross-Correlation Fast Fourier Transform by Yiheng Sheng, Zinan Wang, Peng Zhou, Zhan Wang, Qian Wang, Siqi Niu

“…Rotor system unbalance is one of the most important factors that affects the operating accuracy and stability in aerospace engineering. …”
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Segmented Frequency-Domain Correlation Prediction Model for Long-Term Time Series Forecasting Using Transformer by Haozhuo Tong, Lingyun Kong, Jie Liu, Shiyan Gao, Yilu Xu, Yuezhe Chen

“…Furthermore, we introduce an isometry convolution method to enhance the prediction accuracy of the model. …”
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Sustainable production and consumption: a bibliometric analysis of SDG-12 literature through a financial management lens by Amol S. Dhaigude, Anshul Verma, Gurudutt Nayak

“…The initial findings yielded the most influential articles, authors and institutions involved in the convergence of SDG-12 and financial management literature. …”
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LEST: Large-Scale LiDAR Semantic Segmentation With Deployment-Friendly Transformer Architecture by Chuanyu Luo, Nuo Cheng, Sikun Ma, Han Li, Xiaohan Li, Shengguang Lei, Pu Li

“…Large-scale LiDAR-based point cloud semantic segmentation is a critical challenge for autonomous driving perception. Most state-of-the-art LiDAR semantic segmentation methods rely on complex operators, such as sparse 3D convolutions or KdTree structures, which hinder their deployment on modern embedded devices. …”
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AI-enhanced real-time monitoring of marine pollution: part 1-A state-of-the-art and scoping review by Navya Prakash, Navya Prakash, Oliver Zielinski, Oliver Zielinski

“…This review synthesizes 53 recent studies on Artificial Intelligence applications in marine pollution detection, focusing on different model architectures, sensing technologies and preprocessing methods. The most deployed models of Random Forest, U-Network, Generative Adversarial Networks, Mask Region-based Convolution Neural Network and You Only Look Once demonstrated high prediction rate for detecting oil spills and marine litter. …”
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Multiple orbital angular momentum modes conversion with transmission metasurface by Sitong He, Qiang Feng, Qingle Tu, Haixia Liu, Jiaqi Han, Yan Shi, Long Li

“…Manipulating OAM modes is crucial in most research studies and applications of vortex waves. …”
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Assessment of the Energy Security of EU Countries in Light of the Expansion of Renewable Energy Sources by Aleksandra Kuzior, Yevhen Kovalenko, Inna Tiutiunyk, Larysa Hrytsenko

“…The findings indicate that most EU countries have sufficient-to-moderate levels of energy security. …”
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Outdoor Dataset for Flying a UAV at an Appropriate Altitude by Theyab Alotaibi, Kamal Jambi, Maher Khemakhem, Fathy Eassa, Farid Bourennani

“…Current datasets lack data that allow drones to navigate in a 3D environment; most of these data are dedicated to self-driving cars or navigation inside buildings. …”
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Redescripción de Haliotrematoides mediohamides (Monogenea: Dactylogyridae), un parásito branquial del sargo Calamus brachysomus (Perciformes: Sparidae) del océano Pacífico orient... by Celso Luis Cruces, Jhon Darly Chero, Gloria Sáez, José Luis Luque

“…Even though this monogenean was described 12 years ago, that description did not report some of the unique morphological features of H. mediohamides and neither did it offer a whole-mount drawing of this species. The most important characteristics of H. mediohamides are: 1) a male copulatory organ with hook-shaped distal end, 2) a non-coiled vaginal duct, 3) numerous secretory gland-cells associated with the peduncle, 4) a chandelier-shaped extrinsic adductor muscles articulated with superficial roots of the anchors, 5) a single tadpole-shaped prostatic reservoir, and 6) a vas deferens anteriorly convoluted. …”
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Developing methodologies to study perceived sound qualities of violins* by Fritz Claudia, Stoppani George, Igartua Unai, Woodhouse Jim

“…The hybrid synthesis was found to be the most effective of the three in highlighting instrument differences, capturing properties perceived in the actual instruments, and correlating with radiation measurements.…”
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A Low Complexity Algorithm for 3D-HEVC Depth Map Intra Coding Based on MAD and ResNet by Erlin Tian, Jiabao Zhang, Qiuwen Zhang

“…As an extension of HEVC, 3D-HEVC retains the quadtree structure inherent to HEVC and is currently recognized as the most widely adopted international standard for stereoscopic video coding. …”
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A Lightweight Semantic- and Graph-Guided Network for Advanced Optical Remote Sensing Image Salient Object Detection by Jie Liu, Jinpeng He, Huaixin Chen, Ruoyu Yang, Ying Huang

“…In recent years, numerous advanced lightweight models have been proposed for salient object detection (SOD) in optical remote sensing images (ORSI). However, most methods still face challenges such as performance limitations and imbalances between accuracy and computational cost. …”
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The effect of major salivary glands hypertrophy on rat’s spermatogenic epithelium ultrastructure by V. V. Ivanova, D. I. Тikhonov, I. V. Mil’to, O. N. Serebrjakova, E. A. Gereng, R. I. Pleshko

“…Multiple incisors’ amputation cause transient  depression of granular convoluted cells function. Probably submandibular gland granular convoluted tubules cells endocrine factors make the greatest contribution to the regulation of spermatogenesis in rats.…”
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U-shape-based network for left ventricular segmentation in echocardiograms with contrastive pretraining by Zhengkun Qian, Tao Hu, Jianming Wang, Zizhong Yang

“…Additionally, we incorporate the Spatial and Channel reconstruction Convolution (SCConv) module through spatial and channel reconstruction during downsampling and replace the Binary Cross Entropy Loss (BCELoss) with Polynomial Loss (PolyLoss) to achieve superior segmentation performance. …”
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Comparative Analysis of Hybrid Deep Learning Models for Electricity Load Forecasting During Extreme Weather by Altan Unlu, Malaquias Peña

“…Extreme weather events present some of the most severe natural threats to the electric grid, and accurate load forecasting during those events is essential for grid management and disaster preparedness. …”
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A Small-Sample Target Detection Method of Side-Scan Sonar Based on CycleGAN and Improved YOLOv8 by Ye Zheng, Jun Yan, Junxia Meng, Ming Liang

“…Because of their low cost and ease of deployment, side-scan sonars is one of the most widely used underwater survey instruments. However, the complexity of the marine environment and the difficulty in target acquisition limit the detection accuracy of side-scan sonars. …”
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