Beyond conventional vision: RGB-event fusion for robust object detection in dynamic traffic scenarios by Zhanwen Liu, Yujing Sun, Yang Wang, Nan Yang, Shengbo Eben Li, Xiangmo Zhao

“…The dynamic range limitation is intrinsic to conventional RGB cameras, which reduces global contrast and causes the loss of high-frequency details such as textures and edges in complex, dynamic traffic environments (e.g., nighttime driving or tunnel scenes). …”
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A Multilevel Multimodal Hybrid Mamba-Large Strip Convolution Network for Remote Sensing Semantic Segmentation by Lingyu Yan, Qingyang Feng, Jing Wang, Jinshan Cao, Xiaoxiao Feng, Xing Tang

“…However, when ultra-high resolution (UHR) remote sensing images exhibit complex background intersections and significant variations in object sizes, existing multimodal fusion segmentation methods based on convolutional neural networks and Transformers face challenges such as limited receptive fields and high secondary complexity, leading to inadequate global context modeling and multimodal feature representation. …”
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Screening of Red Sea- and Mediterranean Sea-derived Actinomycetes for Antimicrobial and Antitumor activities: LC-ESI-HRMS-based Metabolomics Study by Mahmoud A. Abdel-Razik, Ahmed F. Azmy, Tarek Dishisha, Ahmed O. El-Gendy, Adlin Afzan, Nurkhalida Kamal, Ahmed Tawfike, Mohamed Sebak

“…Multivariate data analysis (MVDA) of the high-resolution mass spectrometry (HRMS) data identified isolate 10 as an outlier, rich in diverse secondary metabolites. …”
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The indicators of general clinical methods as prognostic markers of the severity of systemic scleroderma complicated by the development of pneumosclerosis. by O. V. Karaseva, V. V. Rodionova

“…When analyzing the data of the rheumatic complex and individual immunogram indices, the level of CIC and rheumatoid factor was higher in patients of group II, and the level of cryoglobulins was significantly increased in group I patients. …”
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KOMPSAT-3/3A Image-text Dataset for Training Large Multimodal Models by Han Oh, Dong-Bin Shin, Dae-Won Chung

“…Conventional LMMs are primarily trained on general images, limiting their ability to effectively interpret the specific characteristics of satellite imagery, such as spectral bands, spatial resolution, and viewing angles. To address this limitation, we developed an image-text dataset, divided into pretraining and finetuning stages, based on the existing KOMPSAT object detection dataset. …”
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SpikeMOT: Event-Based Multi-Object Tracking With Sparse Motion Features by Song Wang, Zhu Wang, Can Li, Xiaojuan Qi, Hayden Kwok-Hay So

“…In comparison to conventional RGB cameras, the exceptional temporal resolution of event cameras allows them to capture rich information between frames, making them prime candidates for object tracking. …”
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Alternative ‘block and delivery’ approach for alcohol septal ablation in hypertrophic cardiomyopathy with ischemia: a case report by S. M. Mamun Iqbal, Neuton Mondal, Mafuza Tabassum Khan, Ashir Faishal Hamim, Nurullah Mujahid Majumder, Anindita Das Barshan, Mohammad Jahid Hasan

“…At the one-year follow-up, the patient demonstrated good health, complete symptom resolution, and a normal left ventricular outflow tract gradient. …”
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Investigation and Implementation of Multi-Stereo Camera System Integration for Robust Localization in Urban Environments by A. Rai, E. Mounier, E. Mounier, P. R. M. de Araujo, A. Noureldin, A. Noureldin, K. Jain

“…These technologies have advantages in improving perception and localization, but they have their own shortcomings – LiDAR can be costly and falters under adverse weather conditions, cameras are sensitive to lighting conditions, and radars lack high-resolution details. Beyond these complexities, environmental conditions like signal-blocking skyscrapers, unpredictable obstacles, and the high costs of precision sensing add further convolution. …”
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KRID: A Large-Scale Nationwide Korean Road Infrastructure Dataset for Comprehensive Road Facility Recognition by Hyeongbok Kim, Eunbi Kim, Sanghoon Ahn, Beomjin Kim, Sung Jin Kim, Tae Kyung Sung, Lingling Zhao, Xiaohong Su, Gilmu Dong

“…Preliminary results confirm its suitability for complex, safety-critical scenarios in intelligent transportation systems. …”
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Large Igneous Province Sulfur Emissions Have Long‐Term (>1000 Years) Effects on the Ocean Carbon Cycle by Hee Jun Cheong, Tushar Mittal, Courtney Jean Sprain, Isabel M. Fendley

“…Our results provide a new perspective for understanding the complex feedback mechanisms controlling the environmental effects of large volcanic eruptions over Earth history.…”
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Mobile Mapping System for Urban Infrastructure Monitoring: Digital Twin Implementation in Road Asset Management by Vittorio Scolamiero, Piero Boccardo, Luigi La Riccia

“…The goal of urban digitalization is to provide a digital representation of physical infrastructure, data, information, and procedures for the management of complex anthropogenic systems. To meet this new goal, one must be able to understand the urban system through the integrated use of different methods in a multi-level approach. …”
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A survey of mosquito-borne and insect-specific viruses in hospitals and livestock markets in western Kenya. by Tatenda Chiuya, Daniel K Masiga, Laura C Falzon, Armanda D S Bastos, Eric M Fèvre, Jandouwe Villinger

“…Aedes aegypti and Culex pipiens complex mosquitoes are prolific vectors of arboviruses that are a global threat to human and animal health. …”
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Synthesis, optical, and photocatalytic properties of cellulose-derived carbon quantum dots by Shabnam Sheshmani, Mahan Mardali, Soheila Shokrollahzadeh, Yasamin Bide, Roya Tarlani

“…Kinetic studies revealed a pseudo-second-order degradation model, with correlation coefficients nearing 0.99, indicating complex interactions between dye molecules and CQD surfaces. …”
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The role of metacognitive strategies in planning and conducting investigative actions when investigating criminal offenses in the field of public procurement by K. B. Shnaider, B. B. Teplytskyi

“…This allows to increase the quality and volume of collected information, significantly increasing the chances of successful resolution of criminal cases. …”
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Pore-Scale Gas–Water Two-Phase Flow Mechanisms for Underground Hydrogen Storage: A Mini Review of Theory, Experiment, and Simulation by Xiao He, Yao Wang, Yuanshu Zheng, Wenjie Zhang, Yonglin Dai, Hao Zou

“…Subsequently, the microscopic visualization seepage experimental techniques, including microfluidics, NMR-based, and CT scanning-based methods, were reviewed and discussed in terms of the microscopic dynamic mechanisms of complex fluid transport behaviors. Due to the high resolution, non-contact, and non-destructive, as well as the scalable in situ high-temperature and high-pressure experimental conditions, CT scanning-based visualization technology has received increasing attention. …”
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Impact of ISTA and FISTA iterative optimization algorithms on electrical impedance tomography image reconstruction by Nguyen Diep Quoc Tuan, Huynh Hoang Nhut, Ven Huynh Thanh, Cao Dinh Minh Quan, Tran Anh Tu, Tran Trung Nghia

“…The inverse problem associated with EIT is nonlinear and ill-posed, leading to low spatial resolution reconstructions. Iterative algorithms are widely employed to address complex inverse problems. …”
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Detection of Sedimentary Basins and Karstic Faults in the Yucatán Peninsula by Gravity Inversion and Euler Deconvolution by José Carlos Ortiz-Alemán, Mauricio Nava-Flores, Jaime Humberto Urrutia-Fucugauchi, Sebastián Ortiz-Aguilar, Mauricio Gabriel Orozco-del-Castillo, Sebastian López-Juárez

“…The northern Yucatán Peninsula hosts a complex karstic environment shaped by carbonate platform development and the Chicxulub impact event, making subsurface characterization crucial for geological and hydrogeological studies. …”
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SECrackSeg: A High-Accuracy Crack Segmentation Network Based on Proposed UNet with SAM2 S-Adapter and Edge-Aware Attention by Xiyin Chen, Yonghua Shi, Junjie Pang

“…Traditional methods, including digital image processing techniques have limitations in complex environments. Deep learning-based methods have shown potential, but still face challenges, such as poor generalization with limited samples, insufficient extraction of fine-grained features, feature loss during upsampling, and inadequate capture of crack edge details. …”
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A Classifier Model Using Fine-Tuned Convolutional Neural Network and Transfer Learning Approaches for Prostate Cancer Detection by Murat Sarıateş, Erdal Özbay

“…Additionally, a pyramid-type CNN architecture was designed to simultaneously evaluate both fine details and broader structures by combining low- and high-resolution information through feature maps extracted from different CNN layers. …”
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Selecting a Superior Landing Area in the Region Far From Procellarum KREEP Terrane by Wenqing Chang, Zhiguo Meng, Xuegang Dong, Meng Zou, Xiaoping Zhang, Yuanzhi Zhang

“…Moreover, Mare Smythii has more complex geomorphology; the regolith here has a high detection priority including the cryptomare, swirls, and the probable water ice and volatile; and there exists the MRM anomaly, probably representing a new material that has not been detected until now. …”
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