Treatment of recurrent aphthous stomatitis by laser therapy: A systematic review of the literature by Pavlić Verica, Vujić-Aleksić Vesna, Aoki Akira, Nežić Lana

“…Recently, it has been suggested that laser therapy could be successfully used as an efficient treatment approach in therapy of RAS. …”
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Bacteria-based drug-loaded mesoporous silica nanoparticles for synergistic FUAS of breast cancer by Mingyang Zhang, Yijun Zhou, Haiyan Yang, Guangrong Zheng, Li Ren, Zhong Zhang, Li Lin, Youqian He, Qi Wang, Jianzhong Zou

“…Leveraging BF's tumor-targeting ability in hypoxic microenvironments, the NPs enable specific accumulation in tumor site, facilitating targeted and efficient drug delivery. …”
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Noise Was Obviously Reduced by Both Leaf Texture and Surface Roughness in Leaf Scale by Guangpeng Sun, Bingqian Ma, Xianwen Li, Juyang Liao, Liuduan Wei, Xuan Guo, Chengyang Xu, Xiangqi Kong, Guixiang Jin, Yingshan Jin

“…(1) Woody plant species selection for urban forests is one of the key factors in reducing traffic noise in urban areas, and the ability of sound wave attenuation by leaves is one of the foundations for species selection. …”
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Web-based assessment of dual-task costs at different ages: an analysis across cognitive domains by Vincenzo Livoti, Vincenzo Livoti, Fiorella Del Popolo Cristaldi, Giulio Contemori, Maria Silvia Saccani, Mario Bonato, Mario Bonato

“…Among many, multitasking abilities are particularly relevant in everyday life contexts across the adult lifespan.MethodsWe used web-based, self-administered, dual-tasks to measure performance and dual-task costs (DTCs) at different ages, accounting for the influence of cognitive efficiency and cognitive reserve. …”
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Exploring magnetically recoverable catalysts for the synthesis of benzoxazoles derivatives by Fadhel F. Sead, Jayanti Makasana, Shelesh Krishna Saraswat, MM Rekha, Mayank Kundlas, Suman Saini, Kamal Kant Joshi, Mosstafa Kazemi, Ramin Javahershenas

“…Integrating magnetic catalysis into benzoxazole synthesis represents a significant step forward in achieving greener, more efficient methodologies in heterocyclic chemistry.…”
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Dissociated neuronal cultures as model systems for self-organized prediction by Amit Yaron, Zhuo Zhang, Dai Akita, Tomoyo Isoguchi Shiramatsu, Zenas C. Chao, Hirokazu Takahashi, Hirokazu Takahashi

“…This review synthesizes and critically examines research demonstrating their fundamental computational abilities, including predictive coding, adaptive learning, goal-directed behavior, and deviance detection. …”
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Assisting monofloral honey classification by automated pollen identification based on convolutional neural networks by José Miguel Valiente, Juan José Martín-Osuna, Ana María Peral, Isabel Escriche

“…The development of a computer application incorporating CNN models, makes these methodologies suitable for efficient classification of monofloral honeys.…”
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Review of the opportunities and challenges to accelerate mass‐scale application of smart grids with large‐language models by Heng Shi, Lurui Fang, Xiaoyang Chen, Chenghong Gu, Kang Ma, Xinsong Zhang, Zhong Zhang, Juping Gu, Eng Gee Lim

“…Compared to previous big data solutions, large language models (LLMs), with their advanced generalisation abilities and multi‐modal competencies, are crucial in effectively managing and integrating diverse data sources. …”
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Unmanned aerial vehicles advances in object detection and communication security review by Asif Ali Laghari, Awais Khan Jumani, Rashid Ali Laghari, Hang Li, Shahid Karim, Abudllah Ayub Khan

“…After the integration of AI in UAVs, their efficiency can be improved. It can automatically detect any object and highlight those objects with detailed information using AI. …”
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Data enhanced iterative few-sample learning algorithm-based inverse design of 2D programmable chiral metamaterials by Zhao Zeyu, You Jie, Zhang Jun, Du Shiyin, Tao Zilong, Tang Yuhua, Jiang Tian

“…A data enhanced iterative few-sample (DEIFS) algorithm is proposed to achieve the accurate and efficient inverse design of multi-shaped 2D chiral metamaterials. …”
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GradCAM-PestDetNet: A deep learning-based hybrid model with explainable AI for pest detection and classification by Ramitha Vimala, Saharsh Mehrotra, Satish Kumar, Pooja Kamat, Arunkumar Bongale, Ketan Kotecha

“…The growing global population demands an efficient pest detection system to ensure food security. …”
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A Convolutional Neural Network Model for Classifying Resting Tremor Amplitude in Parkinson’s Disease by Augusto Ielo, Serena Dattola, Lilla Bonanno, Paolo De Pasquale, Alberto Cacciola, Angelo Quartarone, Maria Cristina De Cola

“…Our method exploited the ability of CNNs to classify RT amplitude efficiently, aiming at simplify diagnostic processes, enhancing the accuracy of the RT assessment in clinical settings.…”
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SAM2Former: Segment Anything Model 2 Assisting UNet-Like Transformer for Remote Sensing Image Semantic Segmentation by Xuewen Li, Xiaomin Tian, Zihong Wang, Feng Zhang, Yanting Zhang, Na Yang, Chuanzhao Tian

“…The SAM2Former is a dual-encoder and single-decoder structure composed of the efficient ResNet18 and SAM2’s Image Encoder as dual encoders, with Transformer as the decoder. …”
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CAFiKS: Communication-Aware Federated IDS With Knowledge Sharing for Secure IoT Connectivity by Ogobuchi Daniel Okey, Demostenes Zegarra Rodriguez, Frederico Gadelha Guimaraes, Joao Henrique Kleinschmidt

“…Federated learning has recently gained significant attention as a method for building machine learning models due to its ability to preserve data privacy while delivering improved performance. …”
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Analysis of the Influence Characteristics of the Support Stability of a Fully Mechanized Coal Mining Face under the Hard Roof Mining Pressure by Jiaxin Dang, Min Tu, Xiangyang Zhang, Qingwei Bu

“…The reason is that the goaf is backfilled during the simulation process, and the roof has a certain ability to bear the load. Real-time understanding of the “roof-support” mechanical relationship can effectively ensure the safe and efficient mining of the 11129 working face and also provide experience for the subsequent mining of group B coal in the later period.…”
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Growth Propagation of Liquid Spawn on Non-Woven Hemp Mats to Inform Digital Biofabrication of Mycelium-Based Composites by Andreas Biront, Mart Sillen, Patrick Van Dijck, Jan Wurm

“…Mycelium-based composites (MBCs) are highly valued for their ability to transform low-value organic materials into sustainable building materials, offering significant potential for decarbonizing the construction sector. …”
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DeepAT: A Deep Learning Wheat Phenotype Prediction Model Based on Genotype Data by Jiale Li, Zikang He, Guomin Zhou, Shen Yan, Jianhua Zhang

“…This provides a data-driven selection criterion for genomic selection, making the selection process more efficient and targeted. Deep learning has become an important tool for phenotype prediction due to its abilities in automatic feature learning, nonlinear modeling, and high-dimensional data processing. …”
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Influence of type traits on stayability in the Ital- ian Mediterranean buffalo by Damiano Altieri, Stefano Biffani, Mayra Gómez, Yuri Gombia, Dario Rossi, Luca Gubitosi, Nadia Piscopo, Francesca Carnovale, Rossella Di Palo

“…Investigating the relationship between some morphological traits and longevity would give them the proper em-phasis in formulating genetic indexes or creating specific aggregated indexes to make the selection process more efficient. …”
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Lost in translation: the need for qualified medical interpreters by Abdul Basit Sangah, Shazia Saleem Shaikh, Muhammad Zain Khalid

“…As a multilingual city with many immigrants and visitors from other provinces and countries, efficient communication is vital for outstanding service. …”
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Abnormal heart sound recognition using SVM and LSTM models in real-time mode by Moy’awiah A. Al-Shannaq, Areen Nasrawi, Abed Al-Raouf K. Bsoul, Ahmad A. Saifan

“…This study aims to propose a real-time heart sound recognition system to classify both normal and abnormal phonocardiograms with the ability to define the abnormality type if existed. …”
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