ORAL MANIFESTATIONS OF VIRAL INFECTIONS IN CHILDREN by N.V. Yanko, L.F. Kaskova, I.Yu. Vashchenko, S.Ch. Novikova, O.S. Pavlenkova

“…Laboratory diagnostics is based on detection of antibodies to virus or virus DNA in blood helps to make diagnosis of infectious mononucleosis and cytomegalovirus infections. …”
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Prevalence of iron deficiency in acute and chronic heart failure according to different clinical definitions by Lukas Lanser, Gerhard Pölzl, Moritz Messner, Maria Ungericht, Marc‐Michael Zaruba, Jakob Hirsch, Stefan Hechenberger, Stefan Obersteiner, Bernhard Koller, David Haschka, Hanno Ulmer, Guenter Weiss

“…There were distinctive differences in detection of ID and the type of ID when applying several recommended definitions thus affecting sensitivity and specificity for absolute and functional ID detection. …”
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Operando visualisation of lithium plating by ultrasound imaging of battery cells by David Wasylowski, Heinrich Ditler, Morian Sonnet, Tim Falkenstein, Luca Leogrande, Emanuel Ronge, Alexander Blömeke, Andreas Würsig, Florian Ringbeck, Dirk Uwe Sauer

“…Extensive reference electrode studies and ex-situ analysis verify the effectiveness of our method for plating detection. Ultimately, this work enables researchers and industry to significantly accelerate the development of new cell technologies and their optimized utilization.…”
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Distributed Decision Making for Electromagnetic Radiation Source Localization Using Multi-Agent Deep Reinforcement Learning by Jiteng Chen, Zehui Zhang, Dan Fan, Chaoqun Hou, Yue Zhang, Teng Hou, Xiangni Zou, Jun Zhao

“…To address these challenges, we propose the Multi-UAV Reconnaissance Proximal Policy Optimization (MURPPO) algorithm based on a distributed reinforcement learning framework, which utilizes an independent decision making mechanism and collaborative positioning method with multiple UAVs to achieve high-precision detection and localization of radiation sources. …”
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Spatial Deep Learning Approach to Older Driver Classification by Charles Boateng, Seyedeh Gol Ara Ghoreishi, Kwangsoo Yang, Muhammad Tanveer Jan, Ruth Tappen, Jinwoo Jang, David Newman, Sonia Moshfeghi, Kelley Jackson, Rhian Resnick, Borko Furht, Monica Rosselli, Joshua Conniff

“…The findings demonstrate the potential of grid-based methods to improve telematics-based driving behavior analysis significantly. …”
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A Holistic Strategy of Modified Superpixel Segmentation and Randomized Adam Hyperparameter Tuning with Deep Learning Approaches for the Classification of Breast Cancer from BreakHi... by Gowri Shankar Manivannan, Karthikeyan Shanmugam, Harikumar Rajaguru, Satish V. Talawar, Rajanna Siddaiah

“…Abstract Breast cancer is a prevalent cancer type in women worldwide, and therefore it is necessary to do early detection that is accurate for effective treatment. …”
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Solid-contact ion-selective electrode for the determination of silver ions released from silver sulfadiazine in sodium hyaluronate formulations: evaluation of whiteness and greenne... by Manal Ibrahim, Nesrin K. Ramadan, Magda M. Ibrahim, Shereen A. Boltia

“…The manufacturing process involved a two-step optimization procedure. Initially, various ionophores were evaluated to enhance the selectivity of the sensors, with Calix [4]arene demonstrating the highest affinity for silver ions. …”
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A Thermal Cycler Based on Magnetic Induction Heating and Anti-Freezing Water Cooling for Rapid PCR by Yaping Xie, Qin Jiang, Chang Chang, Xin Zhao, Haochen Yong, Xingxing Ke, Zhigang Wu

“…Experimental results reveal average heating and cooling rates of 14.92 °C/s and 13.39 °C/s, respectively, significantly exceeding those of conventional methods. Compared to commercial PCR instruments, the proposed system further optimizes cost, efficiency, and practicality. …”
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Coastal Reclamation Embankment Deformation: Dynamic Monitoring and Future Trend Prediction Using Multi-Temporal InSAR Technology in Funing Bay, China by Jinhua Huang, Baohang Wang, Xiaohe Cai, Bojie Yan, Guangrong Li, Wenhong Li, Chaoying Zhao, Liye Yang, Shouzhu Zheng, Linjie Cui

“…This study employed synthetic aperture radar interferometry (InSAR) using 224 Sentinel-1A data, spanning from 9 January 2016 to 8 April 2024, to investigate the deformation characteristics of the coastal reclamation embankment in Funing Bay, China. We optimized the phase-unwrapping network by employing ambiguity-detection and redundant-observation methods to facilitate the multitemporal InSAR phase-unwrapping process. …”
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Advanced Morphological and Material Engineering for High‐Performance Interfacial Iontronic Pressure Sensors by Fengling Zhuo, Zhi Ding, Xi Yang, Fengjian Chu, Yulu Liu, Zhuoqing Gao, Hao Jin, Shurong Dong, Xiaozhi Wang, Jikui Luo

“…These strategies are tailored to optimize key metrics such as sensitivity, detection limit, linearity, stability, response speed, hysteresis, transparency, wearability, selectivity, and multifunctionality. …”
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Joint Tomek Links (JTL): An Innovative Approach to Noise Reduction for Enhanced Classification Performance by Goksu Tuysuzoglu, Yunus Dogan, Elife Ozturk Kiyak, Mustafa Ersahin, Bita Ghasemkhani, Kokten Ulas Birant, Derya Birant

“…Noisy data is a prevalent issue in data mining, significantly impacting the performance of classification algorithms. Mathematical methods are crucial in tackling this obstacle, particularly in optimizing noise detection and data preprocessing. …”
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Multiclass Pesticide Residue Analysis in Fruit and Vegetable Samples by Combining Acetone-Based Salting-Out Assisted Extraction with Dispersive Liquid-Liquid Microextraction by Bezuayehu Tadesse Negussie, Simiso Dube, Mathew Muzi Nindi

“…The repeatability and reproducibility of precisions ranged between 2.9 and 8.0 and 4.9 and 9.5%, respectively. The optimized and validated method was applied to quantify pesticides in tomato, pear, apple, and melon obtained from different markets. …”
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Online Pre-Diagnosis of Multiple Faults in Proton Exchange Membrane Fuel Cells by Convolutional Neural Network Based Bi-Directional Long Short-Term Memory Parallel Model with Atten... by Junyi Chen, Huijun Ran, Ziyang Chen, Trevor Hocksun Kwan, Qinghe Yao

“…To address these gaps, this study proposes an online multi-fault prediction framework integrating three novel contributions: (1) a sensor fusion strategy leveraging existing thermal/electrochemical measurements (voltage, current, temperature, humidity, and pressure) without requiring embedded stack sensors; (2) a real-time sliding window mechanism enabling dynamic prediction updates every 1 s under variable load conditions; and (3) a modified CNN-based Bi-LSTM parallel model with attention mechanism (ConvBLSTM-PMwA) architecture featuring multi-input multi-output (MIMO) capability for simultaneous flooding/air-starvation detection. Through comparative analysis of different neural architectures using experimental datasets, the optimized ConvBLSTM-PMwA achieved 96.49% accuracy in predicting dual faults 64.63 s pre-occurrence, outperforming conventional LSTM models in both temporal resolution and long-term forecast reliability.…”
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Advancements in Optical Fiber Sensors for pH Measurement: Technologies and Applications by Alaa N. D. Alhussein, Mohammed R. T. M. Qaid, Timur Agliullin, Bulat Valeev, Oleg Morozov, Airat Sakhabutdinov, Yuri A. Konstantinov

“…Optical fiber sensors have proven highly effective for pH detection due to their exceptional sensitivity, rapid response, and resistance to electromagnetic interference, making them well suited for real-time monitoring. …”
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RNA-Seq Transcriptomics and iTRAQ Proteomics Analysis Reveal the Dwarfing Mechanism of Blue Fescue (<i>Festuca glauca</i>) by Yong Zhang, Peng Han, Ruijie Zhao, Shuhan Yu, Hang Liu, Hong Wu, Jinyang Weng, Hengfeng Zhang

“…Blue fescue is a widely used ornamental grass because of its strong ecological adaptability. To maintain the optimal ornamental plant shape, blue fescue requires many nutrients and labor. …”
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Automated Body Condition Scoring in Dairy Cows Using 2D Imaging and Deep Learning by Reagan Lewis, Teun Kostermans, Jan Wilhelm Brovold, Talha Laique, Marko Ocepek

“…Accurate body condition score (BCS) monitoring in dairy cows is essential for optimizing health, productivity, and welfare. Traditional manual scoring methods are labor-intensive and subjective, driving interest in automated imaging-based systems. …”
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Environmental Effects in Life Cycle Assessment of Machine-Vision-Driven Spall Repair Material Estimation for Sustainable Road Maintenance by Junhwi Cho, Shanelle Aira Rodrigazo, Hwang-Hee Kim, Su-Jin Lee, Chan Gi Park, Jaeheum Yeon

“…To address these challenges, this study evaluated the environmental benefits of a spall detection and repair method employing artificial-intelligence-based computer vision technology. …”
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Deep Learning–Powered Robust Tactile Perception: Bridging Graphene Electronic Skin and Dynamic Decoding by Gyeonghwa Heo, Jusouk Yoon, Jeonghwa Jeong, Young Woo Kwon, Suck Won Hong

“…Decoding algorithm–based approaches emerge as transformative technologies for artificial sensory systems, transcending traditional methods and enabling robust and versatile applications. …”
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All-Dielectric Metalenses for Long-Wavelength Infrared Imaging Applications: A Review by Shinpei Ogawa, Misaki Hanaoka, Manabu Iwakawa, Shoichiro Fukushima, Masaaki Shimatani

“…Theoretical performance limits and trade-offs are analyzed to provide insights into design optimization. We identify future challenges related to advanced design methods and fabrication techniques. …”
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A Comprehensive Review of Remaining Useful Life Estimation Approaches for Rotating Machinery by Shahil Kumar, Krish Kumar Raj, Maurizio Cirrincione, Giansalvo Cirrincione, Vincenzo Franzitta, Rahul Ranjeev Kumar

“…The advantages and disadvantages of each method are discussed in detail, providing a foundation for optimizing condition-monitoring strategies. …”
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