Comparative experimental study of 5-ALA and 5-ALA hexyl ester specific activity by R. I. Yakubovskaya, A. A. Pankratov, E. V. Filonenko, E. A. Lukyanets, V. I. Ivanova-Radkevich, A. A. Trushin, A. D. Kaprin

“…A comparative experimental study of the specific activity of drugs based on 5-aminolevulinic acid (5-ALA) and its hexyl ester (5-ALA HE) was carried out. Their ability to induce the synthesis of photoactive protoporphyrin IX in the healthy tissues of the rabbit bladder when instilling the drug solutions at various concentrations has been estimated. …”
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IoT-Based Smart Utility Control System by Khansa niazi, Waleed Ahmad, Muhammad Hassan Nadeem

“…However, many of the currently available IoT solutions, such as 1NCE's Smart Utilities Management, Semtech's LoRa® Technology for Smart Utilities, and Robustel's Utility Management Solutions, are often expensive. …”
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Comparison of anonymization techniques regarding statistical reproducibility. by David Pau, Camille Bachot, Charles Monteil, Laetitia Vinet, Mathieu Boucher, Nadir Sella, Romain Jegou

“…Anonymization requires data alteration, and this project aims to compare the ability of such privacy protection methods to maintain reliability and utility of scientific data for secondary research purposes.…”
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COLLABORATIVE DECISION-MAKING ON THE INBOUND AND OUTBOUND AIR TRAFFIC FLOW IN AIR TRAFFIC MANAGEMENT by A. V. Lugovaya, A. E. Konovalov

“…The article introduces the general solution – to regulate air traffic flow through the implementation of a set of operational procedures and automated processes for tactical airspace planning and collaborative decision-making (AMAN, DMAN, CDM, A-CDM).The specific solution – to unite all airport operators in gross productivity is suggested. …”
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The use of a combination of Diclofenac and Orphenadrine for analgesia in knee replacement by M. V. Kuzmina, I. V. Shlyk, V. A. Panafidina, A. A. Kozhevin, Yu. S. Polushin, V. O. Krivov

“…The assessment of the restoration of the supporting function of the operated leg and the ability of the patient to  perform active movements in the knee joint was carried out after 24 and 48 hours. …”
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An Effective ABC-SVM Approach for Surface Roughness Prediction in Manufacturing Processes by Juan Lu, Xiaoping Liao, Steven Li, Haibin Ouyang, Kai Chen, Bing Huang

“…Data-driven learning methods which can mine unseen relationship between influence parameters and outputs are regarded as an effective solution. In this study, support vector machine (SVM) is applied to develop prediction models for machining processes. …”
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A fast and accurate segmentation model of lychee tree canopy from UAV remote sensing image based on big data and deep learning by Jianhua Wang, Hongyi Xiong

“…These improvements significantly enhance the overall segmentation efficiency for lychee tree canopies from UAV remote sensing images, providing a robust solution for fast and accurate orchard management.…”
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BIOTHREAT EARLY ASSIST AND RESPONSE COMMAND SYSTEM (BEAR-CS) by Rexhep Mustafovski, Aleksandar Risteski, Tomislav Shuminoski

“…The Biothreat Early Assist and Response Command System (BEAR-CS) is an advanced technological solution developed to address modern military challenges associated with biological threats. …”
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An Autism Spectrum Disorder Identification Method Based on 3D-CNN and Segmented Temporal Decision Network by Zhiling Liu, Ye Chen, Xinrui Dong, Jing Liu

“…This study aims to improve the ability to capture spatiotemporal dynamics of brain activity by proposing an advanced framework. (2) Methods: This study proposes an ASD recognition method that combines 3D Convolutional Neural Networks (3D-CNNs) and segmented temporal decision networks. …”
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An Energy-Aware, Self-Adaptive, Battery-Free Smart Wristband for Long-Term Health Monitoring by Shihong Chen, Esther Rodriguez-Villegas

“…These results underscore the system’s ability to dynamically balance power-performance trade-offs, offering a promising long-term solution for continuous health monitoring in various environments.…”
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Advancing self‐healing soy protein hydrogel with dynamic Schiff base and metal‐ligand bonds for diabetic chronic wound recovery by Tian Lan, Yabo Dong, Jiajia Shi, Xing Wang, Zejian Xu, Yan Zhang, Lianzhou Jiang, Weibiao Zhou, Xiaonan Sui

“…This eco‐friendly plant protein hydrogel offers a sustainable solution for wound care and environmental protection.…”
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Choline Chloride Based Deep Eutectic Solvents as Promising Extractants of Flavonoids from Sedative Plant Composition by M. A. Dzhavakhyan, Yu. E. Prozhogina

“…The influence of the water content in DES solutions on the properties of the extractant was also studied. …”
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ANESTHETIC EFFICACIES OF EPIDURALLY ADMINISTRATED LIGNOCAINE-HCl AND BUPIVACAINE-HCl ALONE AND THEIR COMBINATIONS IN RABBITS by Roshik Shrestha, Rajesh Tharu, Jyoti Chaudhary, Flavia Pradhan, Dibina Kaini, Shashank Shrestha, Egendra Shrestha

“…However, the rabbits of Group C received combined solution of 2 mg/kg of 2% lignocaine-HCl and 0.5mg/kg of 0.5% bupivacaine-HCl. …”
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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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A novel cellulose-derived graphite carbon with abundant defects for excellent environmental adaptability and superior wideband microwave absorbents by Guangguang Guan, Jiebai Li, Xiaoqiang Li, Jun Xiang, Yangtao Zhou

“…Besides, the CGC still retains a strong and broadband MA ability in the simulated real harsh environmental conditions (acid rain/alkaline solution, salt spray and strong UV exposure). …”
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A Hybrid Deep Learning Approach for Skin Lesion Segmentation With Dual Encoders and Channel-Wise Attention by Asaad Ahmed, Guangmin Sun, Anas Bilal, Yu Li, Shouki A. Ebad

“…Accurate segmentation of skin lesions is essential for early detection and successful treatment, yet many current techniques struggle to balance computational efficiency with the ability to capture complex lesion features. This paper aims to develop an advanced deep learning model that improves segmentation accuracy while maintaining computational efficiency, offering a solution to the limitations of existing 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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VMKLA-UNet: vision Mamba with KAN linear attention U-Net by Chenhong Su, Xuegang Luo, Shiqing Li, Li Chen, Juan Wang

“…CNNs are often limited in their ability to capture long-range dependencies, while Transformer models are frequently constrained by significant computational overhead. …”
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Tabular transformer generative adversarial network for heterogeneous distribution in healthcare by Ha Ye Jin Kang, Minsam Ko, Kwang Sun Ryu

“…Thus, the TT-GAN exhibited considerable potential in healthcare, demonstrating its ability to generate artificial data that closely resembled real healthcare datasets. …”
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Multi-Objective Cluster Classification and Voltage Control Approach for Active Distribution Network Considering Resource Reserve Degree by Jing WANG, Yi YUAN, Yinchi SHAO, Jinqi ZHANG, Ran DING, Yanjiang GONG

“…Firstly, by considering the influence of its own regulation ability on cluster coupling relationship and global control ability when distributed PV power generation is connected, a multi-dimensional cluster classification indicator considering resource reserve degree is established. …”
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