Experience of using unmanned aerial photography systems for mapping the territory of the Russian Federation by S. Nekhin, A. Rubenok

“…Along with the progress in the development of UAVs, this is facilitated by the current situation in the country with a decreasing number of manned aircraft used for aerial photography. …”
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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

“… The current study aimed to evaluate the anesthetic efficacies of epidurally administered lignocaine-HCl and bupivacaine-HCl alone and their combinations in rabbits. …”
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GCB‐YOLO: A Lightweight Algorithm for Wind Turbine Blade Defect Detection by Zhiming Zhang, Chaoyi Dong, Ze Wei, Xiaoyan Chen, Weidong Zan, Yao Xue

“…ABSTRACT For the current visual detection methods of wind turbine blade defects, their detection models are usually excessively large, making it difficult to achieve a balance between model accuracy and inference speed. …”
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IAE-CDNet: A Remote Sensing Change Detection Network for Buildings With Interactive Attention-Enhanced by Zhaoyang Han, Linlin Zhang, Qingyan Meng, Chongchang Wang, Wenxu Shi, Maofan Zhao

“…Currently, the development of deep learning has had a positive impact on remote sensing image change detection tasks, but many current methods still face challenges in effectively processing global and local features, especially in the task of building change detection in high-resolution images containing complex scenes. …”
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Salvage Laryngectomy in Clinically N0 Patients: Is Elective Neck Dissection Indicated? by Mazin Merdad, Nada Al Taylouni

“…The metastasis rate was 10%–13% highlighting the ability of END to detect occult metastases. Conclusion The survival benefits of END are not consistently supported by current evidence, while the significant morbidity associated with the procedure raises concerns about its routine use. …”
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An integrative and comprehensive analysis of blood transcriptomes combined with machine learning models reveals key signatures for tuberculosis diagnosis and risk stratification by Maryam Omrani, Arash Ghodousi, Arash Ghodousi, Daniela Maria Cirillo

“…The progression from Mycobacterium tuberculosis (Mtb) infection to active disease involves a complex interplay between host immune responses and Mtb’s ability to evade them. However, current diagnostic tools, such as interferon-gamma release assays (IGRAs) and tuberculin skin tests (TSTs), have limited ability to distinguish between different stages of TB or to predict the progression from infection to active disease. …”
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Biotherapeutic potentials of diverse probiotics of the Himalayan region: A Review by Nikita Bahuguna, Jigisha Anand, Divya Venugopal, Ankit Khanduri, Nishant Rai

“…Researchers primarily suggest probiotics and lactic acid bacteria (LAB) as nutraceuticals due to their non-harmful effects on human health, their ability to activate the immune system, and their ability to enhance resistance to various illness situations. …”
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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

“…Abstract Plant leaf diseases significantly threaten agricultural productivity and global food security, emphasizing the importance of early and accurate detection and effective crop health management. Current deep learning models, often used for plant disease classification, have limitations in capturing intricate features such as texture, shape, and color of plant leaves. …”
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Advancements in extracellular vesicle therapy for neurodegenerative diseases by Ningyun Hu, Liang Chen, Guoku Hu, Rong Ma

“…Neurodegenerative diseases represent a significant and growing challenge to public health worldwide. Current therapeutic strategies often fall short in halting or reversing disease progression, highlighting the urgent need for novel approaches. …”
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Method for calculating porosity in tight sandstone reservoir thin sections based on ICSO intelligent algorithm by Tao Liu, Zongbao Liu, Kejia Zhang, Feng Tian, Yan Zhang, Ruixue Zhang, Cuiyun Xu, Fang Liu, Xiaowen Liu, Haoran Wang, Mengning Mu

“…Surface porosity is crucial for evaluating tight sandstone reservoirs' performance and resource potential. The current manual calculation and algorithm extraction methods have problems such as heavy workload, long time consumption, low accuracy in identifying complex pore morphologies, and weak learning ability for sparse samples. …”
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Data Resource Profile: A Guide for Constructing School-to-work Sequence Analysis Trajectories Using the Longitudinal Education Outcomes (LEO) Data by Shivani Sickotra

“…The dataset was designed with the ability to subset school-leavers by their initial Combined Authority residence to aid in regional analysis of school-to-work trajectories. …”
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Phytochemical profiling of Withania somnifera and its effect on thermal stability of soybean oil by Muhammad Usman Khalid, Muhammad Tauseef Sultan, Hafiz Usama Noor, Ahmad Raza, Naima Tariq, Nazeha A. Khalil, Gholamreza Abdi, Rana Muhammad Aadil

“…The current study aimed to measure antioxidant potential of Withania somnifera and its ability to protect quality of crude soybean oil at 170 °C for different time intervals. …”
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An Optimized Path Planning Method for Coastal Ships Based on Improved DDPG and DP by Yiquan Du, Xiuguo Zhang, Zhiying Cao, Shaobo Wang, Jiacheng Liang, Fengge Zhang, Jiawei Tang

“…Deep Reinforcement Learning (DRL) is widely used in path planning with its powerful neural network fitting ability and learning ability. However, existing DRL-based methods use discrete action space and do not consider the impact of historical state information, resulting in the algorithm not being able to learn the optimal strategy to plan the path, and the planned path has arcs or too many corners, which does not meet the actual sailing requirements of the ship. …”
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EXOSOMES AND TRANSFER OF (EPI)GENETIC INFORMATION BY TUMOR CELLS by E. M. Tchevkina, A. M. Shcherbakov, A. Yu. Zhuravskaya, S. E. Semina, A. V. Komel ,kov, M. A. Krasil ,nikov

“…In this review, we will introduce the current knowledge about exosomes – vesicles that are generated in the cells and released into the extracellular space. …”
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Epidemiological tracking and population assignment of the non-clonal bacterium, Burkholderia pseudomallei. by Julia Dale, Erin P Price, Heidie Hornstra, Joseph D Busch, Mark Mayo, Daniel Godoy, Vanaporn Wuthiekanun, Anthony Baker, Jeffrey T Foster, David M Wagner, Apichai Tuanyok, Jeffrey Warner, Brian G Spratt, Sharon J Peacock, Bart J Currie, Paul Keim, Talima Pearson

“…Population genetic dynamics of B. pseudomallei are particularly complicated relative to other bacterial pathogens, but the work here provides the ability for broad scale population assignment. As there is currently no independent empirical measure of successful population assignment, we provide comprehensive analytical details of our comparisons to enable the reader to evaluate the robustness of population designations and assignments as they pertain to individual research questions. …”
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Inhibiting <i>Escherichia coli</i> Growth by Optimized Low-Power Microwave Irradiation—Delivery of Ag and Au Nanoparticles by Yukie Yokota, Nazuna Itabashi, Mari Kawaguchi, Hiroshi Uchida, Nick Serpone, Satoshi Horikoshi

“…Even more stimulating is our current demonstration of the potent ability of Ag nanoparticles (147 nm) and Au nanoparticles (120 nm) to stifle the growth of <i>Escherichia coli</i> (<i>E. coli</i>—a prokaryote whose cells lack a membrane-bound nucleus and other membrane-bound organelles), vastly smaller than the NIH/3T3 cells, when exposed to significantly optimized low-power microwave irradiation conditions. …”
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Study of the initial growth energy of the rice samples in the laboratory conditions by P. I. Kostylev, V. A. Golubova, N. V. Kalinina, N. N. Vozhzhova

“…The current paper has presented the results of estimating rice samples for the ability of energetic plant growth from under a layer of water. …”
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Investigating the mechanism of Gentiopicroside in rheumatoid arthritis through network pharmacology, molecular docking, and experimental validation by Rongyue Jing, Yueyue Chen, Meimei Xu, Xudan Zou, Suling Wu

“…Due to the multiple side effects and “therapeutic ceiling” effect of current RA medications, it is essential to find natural alternatives and explore their mechanisms of action in RA. …”
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Neuroplasticity. How regular physical activity influences the brain’s structure and function by Julia Dołęga, Łukasz, Stanisław Papież, Piotr Mól, Tomasz Maciejczyk, Antoni Sieńko, Małgorzata Łabuś, Bartłomiej Zabawa, Patrycja Hudzińska, Karol Krzykawski, Jakub Sadowski

“…Exercise supports brain health and cognitive function, with potential benefits for neuroplasticity—the brain's ability to reorganize in response to demands and injury. …”
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Large Language Model-Guided SARSA Algorithm for Dynamic Task Scheduling in Cloud Computing by Bhargavi Krishnamurthy, Sajjan G. Shiva

“…State Action Reward Action (SARSA) learning, a policy variant of Q learning, which learns the value function based on the current policy action, has been utilized in task scheduling. …”
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