Improvement of Bacteriocin Production by Natural Zeolite and Detection of Antibacterial Activity of Leuconostoc carnosum Purified Carnosin by Haneen A. Ibrahim, Intesar N. Khelkal, Yusra M. Muhsin

“…The most efficient producer was Leuconostoc carnosum after confirmed identification using the VITEK®2 System. …”
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An Intelligent Fuzzy-Based Routing Protocol for Vehicular Opportunistic Networks by Ermioni Qafzezi, Kevin Bylykbashi, Shunya Higashi, Phudit Ampririt, Keita Matsuo, Leonard Barolli

“…Opportunistic networks are characterized by intermittent connectivity and dynamic topologies, which pose significant challenges for efficient message delivery, resource management, and routing decision-making. …”
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Design of LED Street Lighting Adapted for Free-Form Roads by Ching-Cherng Sun, Xuan-Hao Lee, Ivan Moreno, Chen-Hao Lee, Yeh-Wei Yu, Tsung-Hsun Yang, Te-Yuan Chung

“…This LED lamp delivers a roadway-shape light pattern, which maximizes illumination performance. The light is efficiently and homogeneously directed only where is needed; which reduces glare, and improves both the eye comfort and the visual discrimination ability of car drivers and pedestrians. …”
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Towards a Unified Identifier of Satellite Remote Sensing Images by Jiahe Wang, Jin Wu, Mingbo Wu, Yuxiang Lu, Shangwen Lu, Dayong Zhu, Chenghu Zhou

“…The system’s feasibility and effectiveness were demonstrated through the integration and management of diverse global datasets, highlighting its ability to streamline multisource data workflows. …”
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Impacts of Electric Vehicle Penetration on the Frequency Stability of Curaçao’s Power Network by Daniela Vásquez-Cardona, Sergio D. Saldarriaga-Zuluaga, Santiago Bustamante-Mesa, Jesús M. López-Lezama, Nicolás Muñoz-Galeano

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Implementation Of Deep Learning Using Convolutional Neural Network Method In A Rupiah Banknote Detection System For Those With Low Vision by Dinul Akhiyar, Tukino Tukino, Sarjon Defit

“…The application of deep learning in various sectors continues to grow due to its ability to provide efficient and effective solutions to complex problems. …”
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Comparison of Artificial Intelligence-based learning with the traditional method in the diagnosis of COVID-19 chest radiographs among postgraduate radiology residents by Ayesha Isani Majeed

“…CONCLUSION: AI approach proves significantly more time and cost efficient compared to traditional teaching methods in enhancing the ability of radiology residents. …”
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Design and implementation of a data sharing API for supporting urban governance schemes in environmental and traffic monitoring by Lasith Niroshan, Sarbast Moslem, Francesco Pilla

“…This paper discusses the architecture, functionality, and impact of the API, demonstrating its ability to enhance data-driven decision-making for sustainable and efficient cities. • Developed a unified API that integrates real-time air quality, noise, and traffic data from diverse sensors to support comprehensive urban data-sharing. • Enables four key urban governance schemes—User Demand, Transport, Freight and logistics, and City Infrastructure Planning—through accurate, integrated environmental and traffic data. • Bridges technical innovation and practical application, enhancing data-driven decision-making for sustainable, efficient urban management.…”
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RNAi delivery mediated by milk extracellular vesicles in colon cancer by Jessie Santoro, Silvia Nuzzo, Andrea Soricelli, Marco Salvatore, Anna Maria Grimaldi

“…These EVs offer advantages such as low immunogenicity, biocompatibility, and the ability to cross biological barriers. Here, we optimized methods for loading siRNA into milk-derived EVs (mEVS) and assessed their ability to protect siRNA from degradation while preserving its gene-silencing efficacy. …”
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Semantic Segmentation of Sika Deer Antler Image by U-Net Based on Two-Dimensional Discrete Wavelet Transform Fusion and Multi-Attention Mechanism by Haotian Gong, Jinfan Wei, Yu Sun, Zhipeng Li, He Gong, Juanjuan Fan

“…In order to improve the segmentation accuracy and generalization ability of the model in a complex environment, we introduced a two-dimensional discrete wavelet transform module (2D-DWT) in the encoder head to reduce noise interference and enhance the ability to capture features. …”
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Inflammatory and nutritional indices for overall survival in Hemodialysis patients: a multicenter cohort study by Xinpan Chen, Gang Wang, Xiayan Yin, Wenhu Liu, Hongdong Huang, Dishan Li

“…Among these indicators, the PNI consistently demonstrated superior discriminatory ability in predicting outcomes among hemodialysis patients. …”
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Antibacterial activity of the novel peptide Pac-525 with the RGD motif against intracellular Escherichia coli by Martina Coufalova, Miguel A. M. Rodrigo, Hana Michalkova, Vedran Milosavljevic, Kristýna Hrazdilova, Ludek Zurek, Kristyna Cihalova

“…In ovo bioassays, a substantial reduction in the bacterial load was observed in liver and intestinal tissues, indicating the peptide ability to achieve systemic distribution and to overcome tissue barriers. …”
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Assessment and selection of fungal antagonists against Rhizoctonia solani by Grosch R, Faltin F, Lottmann J, Kofoet A, Berg G

“…The ability of spore production was also of importance under consideration of formulation of possible candidates. …”
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RFCS-YOLO: Target Detection Algorithm in Adverse Weather Conditions via Receptive Field Enhancement and Cross-Scale Fusion by Gang Liu, Yingzheng Huang, Shuguang Yan, Enxiang Hou

“…This result demonstrates the good generalization ability of the proposed method.…”
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Salivary extracellular vesicles isolation methods impact the robustness of downstream biomarkers detection by Jérémy Boulestreau, Laurence Molina, Alimata Ouedraogo, Louën Laramy, Ines Grich, Thi Nhu Ngoc Van, Franck Molina, Malik Kahli

“…Importantly, our study uniquely demonstrates the ability of EV isolation to detect specific biomarkers that remain undetected in whole saliva by WB. …”
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Transformer Self-Attention Change Detection Network with Frozen Parameters by Peiyang Cheng, Min Xia, Dehao Wang, Haifeng Lin, Zikai Zhao

“…These results fully demonstrate the superiority, robustness, and generalization ability of ZAQNet in change detection tasks and provide an efficient and reliable solution for remote sensing image analysis.…”
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Research of UAV 3D path planning based on improved Dwarf mongoose algorithm with multiple strategies by Lixin Mu, Wenhui Liu, Haocheng Wang, Yu Zhang

“…The generated flight paths are optimized in terms of both stability and efficiency, making the algorithm suitable for complex mission scenarios.…”
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Automatic measurement of fetal lung volume by 3D ultrasound based on 3D-nnUnet by WANG Lin, CAO Yan, DENG Ziwei, HU Jiongtong, LIANG Jiamin, CAO Xiaoyan, PAN Wenxiong, YAN Yuling, SUN Zhiwei, YANG Xin, NI Dong

“…The experimental results show that our method can efficiently realize the automatic and accurate segmentation and volume measurement of 3D ultrasound fetal lung, and has the good stability and generalization ability, which can avoid the problems of cumbersome, time-consuming operations and large errors in the previous fetal lung volume measurement methods. …”
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A compact deep learning approach integrating depthwise convolutions and spatial attention for plant disease classification by Amreen Batool, Jisoo Kim, Yung-Cheol Byun

“…These results highlight the superior performance of the proposed model, demonstrating its ability to outperform state-of-the-art models in terms of accuracy while remaining lightweight and efficient. …”
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Time Complexity of Training DNNs With Parallel Computing for Wireless Communications by Pengyu Cong, Chenyang Yang, Shengqian Han, Shuangfeng Han, Xiaoyun Wang

“…While DNNs have demonstrated the ability to reduce the time complexity of inference, their training often incurs a high computational cost. …”
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