Accurate sampling of undisturbed top sediment from grab sampler collected using aluminum tube and stainless-steel containers for shallow and deep-sea applications by Mutsumi Iizuka, Atsuko Amano, Takuya Itaki

“…The K-grab, equipped with a head-slide weight mechanism, enhanced sampling efficiency across various sediment types. For microplastics, stainless steel containers and J-shaped aluminum tubes minimized contamination while maintaining sample integrity. …”
Get full text

Physical simulation of aerodynamic flow characteristics in a vertical diffuser with air supply through different pipe configurations by L. V. Plotnikov, A. F. Ryzhkov, V. A. Medvedev, M. D. Smirnykh, L. E. Osipov

“…Vertical cone diffusers are used in various technical applications: heat exchangers, gas cleaning units, boilers, industrial furnaces, dryers, ventilation devices, nozzle systems and others. For their efficient operation, it is necessary to ensure a uniform supply of the working medium to the device, which is determined by the characteristics of the flow in thediffuser. …”
Get full text

Benchmark Pashto Handwritten Character Dataset and Pashto Object Character Recognition (OCR) Using Deep Neural Network with Rule Activation Function by Imran Uddin, Dzati A. Ramli, Abdullah Khan, Javed Iqbal Bangash, Nosheen Fayyaz, Asfandyar Khan, Mahwish Kundi

“…Based on results, Model 1 (with 1 ReLU activation layer) is found to be the most efficient as compared to the other two models in terms of accuracy to recognize Pashto handwritten characters.…”
Get full text

Integrated pixel-level crack detection and quantification using an ensemble of advanced U-Net architectures by Rakshitha R, Srinath S, N Vinay Kumar, Rashmi S, Poornima B V

“…This framework provides a scalable and efficient solution for automated pavement crack analysis. …”
Get full text

An Enhanced and Lightweight YOLOv8-Based Model for Accurate Rice Pest Detection by Guisuo Liu, Juxing Di, Qing Wang, Yan Zhao, Yang Yang

“…The results validate that the proposed model is not only effective and efficient but also robust and lightweight, making it a promising solution for rice pest detection and offering valuable support for pest management in precision agriculture.…”
Get full text

Development of overlying strata collapse and water-conducting fractured zone in shallow coal seams mining by Hui SHANG, Sihang LIU, Zhihui GAN, Lixiang SU, Yang LIU

“…These results can provide a basis for the efficient mining of coal seam groups in similar mining areas.…”
Get full text

A Deep Learning Approach to Assist in Pottery Reconstruction from Its Sherds by Matheus Ferreira Coelho Pinho, Guilherme Lucio Abelha Mota, Gilson Alexandre Ostwald Pedro da Costa

“…In this work, we investigate a deep learning-based approach to make that process more efficient, accurate, and fast. In that regard, given a sherd’s digital point cloud in a standard, so-called canonical position, the proposed method predicts the geometric transformation, which moves the sherd to its expected normalized position relative to the vessel’s coordinate system. …”
Get full text

A 128×128 Electronically Multi-Foveated Dynamic Vision Sensor With Real-Time Resolution Reconfiguration by Farnaz Faramarzi, Bernabe Linares-Barranco, Teresa Serrano-Gotarredona

“…These features make the EF-DVS a suitable candidate for applications in robotics, surveillance, and real-time monitoring systems where efficient data processing and low latency are critical.…”
Get full text

Influence of natural weak surface on extension of multiple fractures during fracturing of gas extraction horizontal wells by Tao PANG, Zaibing JIANG, Zhengxi WANG, Xiugang LIU, Haozhe LI

“…In view of the difficult problem of strip gas extraction in coal roadways of broken soft and low permeability coal seam, this paper puts forward the technology of segment fracturing and high efficient pre-gas extraction in horizontal wells of strip roof of coal roadways of coal roadways.For balanced gas extraction without blank zone, fracture network construction based on segmented multi-cluster fracturing is the key to technical success.In order to study the propagation patterns of multi-fractures in coal measures strata, the development characteristics of natural weak surface in coal measures strata are analyzed, and the discriminant formula of natural weak surface to multi-fractures propagation patterns is established, the influence of single natural weak surface and multi-natural weak surface on multi-fracture propagation is analyzed by finite element method.The results show that there are a lot of natural weak planes such as fissures, bedding and interfaces in coal seam and roof and floor strata, which affect the propagation of hydraulic fracture.The interaction between fracture and natural weak surface is affected by in-situ stress, induced stress of fracture and stress field of fracture tip.The natural weak surface can induce the initiation and rapid propagation of fractures when the distance between the natural weak surface and the preset fracture is small, while the natural weak surface with small angle can induce the rapid propagation of nearby fractures when the distance is large, when the angle is 90° , the interference between slits is not affected.Under the condition of multi-natural weak surface, the fracture net is easy to form when the stress difference is low, and easy to form a simple single fracture when the stress difference is large, and easy to form the fracture net when the density of natural weak surface is high and the shape is complex, the in-situ stress has little effect on the form of fracture net.The engineering application shows that the hydraulic fracturing in the test well has formed a seam net covering the coal roadways to be driven, and the daily gas production is in the rising stage, and has reached 1708 m3, which has a good prospect of extraction.…”
Get full text

Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia by Mahwish Ilyas, Muhammad Bilal, Nadia Malik, Hikmat Ullah Khan, Muhammad Ramzan, Anam Naz

“…This study showed that blood cell detection for diagnosing acute leukemia based on images had 99% accuracy and outperformed other advanced models, including DenseNet121, ResNet-50, Incep-tionv3, MobileNet, and EfficientNet. The comprehensive analysis of the results reveals the highest accuracy of leukemia detection as compared to existing studies in the relevant literature.…”
Get full text

Assessment of the Impact of Land Use on Biodiversity Based on Multiple Scenarios—A Case Study of Southwest China by Yingzhi Kuang, Hao Zhou, Lun Yin

“…These results underscore the major obstacles to the conservation of biodiversity in the area, highlighting the need to fortify macro-level land-use management, put into practice efficient regional conservation plans, and incorporate traditional knowledge in order to save biodiversity.…”
Get full text

In-field monitoring of ground-nesting insect aggregations using a scaleable multi-camera system by Daniela Calvus, Karoline Wueppenhorst, Ralf Schlösser, Felix Klaus, Ulrich Schwanecke, Henri Greil

“…They have the potential to make insect monitoring continuous and more precise, as well as more cost-efficient, compared to more traditional methods, such as manual observation or trapping.We are presenting an automated multi-camera observation system for aggregations of ground-nesting insects. …”
Get full text

Obtaining chitosan sulfate nanoparticles in an aqueous medium and their colloidal protection with polysaccharides by V. S. Erasov, Yu. O. Maltseva

“…Based on the results of the work, it can be concluded that SA and κ-carrageenan can be used for the efficient stabilization of ChS hydrosols over time and for the colloidal protection of ChS from coagulation with sodium chloride.…”
Get full text

Indoor air quality perception: Enablers and inhibitors of perceived occupant comfort by Inês Veiga, Tiago Oliveira, Mijail Naranjo-Zolotov, Ricardo Martins, Stylianos Karatzas

“…Given the EU’s growing emphasis on smart, energy-efficient, and occupant-centered buildings, we examine comfort perceptions across seven European countries to inform user-centered IAQ strategies aligned with policy goals. …”
Get full text

SwinConvNeXt: a fused deep learning architecture for Real-time garbage image classification by B. Madhavi, Mohan Mahanty, Chia-Chen Lin, B. Omkar Lakshmi Jagan, Hari Mohan Rai, Saurabh Agarwal, Neha Agarwal

“…The latest advancements in computer vision and deep learning offer efficient solutions for effective recycling and waste management. …”
Get full text

Forecast of the morphology and occurrence conditions of complex chromite ore bodies (on example of Labogeyskoe-2 site, Polar Urals) by T. P. Morozova, E. V. Karelina, V. E. Markov

“…Evaluation of the Labogeyskoye-2 ore occurrence for the application of the information obtained and methods of its study in the study of a similar Levopayersk ore body, which will help save time and finances in the design and more efficient exploration.Materials and methods. During the filming routes, a mechanical halo of scattering of ore fragments was detected. …”
Get full text

Image Construction of Ukrainians from Galicia and Bukovyna in Russian Empire Military Propaganda (1914 — 1917) by Катерина Біла

“…This propaganda stroke — «identity construction» — was an efficient tool for political and cultural manipulations of the Russian Empire government. …”
Get full text

PRODUCTION OF COMPOSITE CERAMIC MATERIAL FOR THERMAL SPRAYING by V. A. Okovity, F. I. Panteleenko, V. V. Okovity, V. M. Astashinsky

“…The contemplated powders are characterized by complex geometric shape and developed surface relief of particles. …”
Get full text

Development and Characterization of Spray-Dried Combined Levofloxacin–Ambroxol Dry Powder Inhaler Formulation by Ruwani K. Suraweera, Kirsten M. Spann, Emad L. Izake, Timothy J. Wells, Xiaodong Wang, Nazrul Islam

“…<b>Conclusions</b>: The spray-dried combined antibiotics formulation has a strong potential for efficient lung delivery intended for the management of LRTIs.…”
Get full text

Energy Optimal Trajectory Planning for the Morphing Solar-Powered Unmanned Aerial Vehicle Based on Hierarchical Reinforcement Learning by Tichao Xu, Wenyue Meng, Jian Zhang

“…The multi-wing morphing solar aircraft can enhance solar energy acquisition through wing deflection, which simultaneously incurs aerodynamic losses, complicating energy coupling and challenging existing planning methods in efficiency and long-term optimization. This study presents an energy-optimal trajectory planning method based on Hierarchical Reinforcement Learning for morphing solar-powered Unmanned Aerial Vehicles (UAVs), exemplified by a Λ-shaped aircraft. …”
Get full text