Ultrafast laser welding of transparent materials: from principles to applications by Xianshi Jia, Jinlin Luo, Kai Li, Cong Wang, Zhou Li, Mengmeng Wang, Zhengyi Jiang, Vadim P Veiko, Ji’an Duan

“…The local thermal melting and connection properties of the ultrafast laser welding technology offer a novel method for welding of diverse transparent materials, thus having wide range of potential applications in aerospace, opto-mechanical systems, sensors, microfluidic, optics, etc. In this comprehensive review, tuning the transient electron activation processes, high-rate laser energy deposition, and dynamic evolution of plasma morphology by the temporal/spatial shaping methods have been demonstrated to facilitate the transition from conventional homogeneous transparent material welding to the more intricate realm of transparent/metal heterogeneous material welding. …”
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Assessing the sustainability of repetitive floor plan using Building Information Modelling-DIGITAL TWINS framework by Istanbullu Ali, Omar Emad Alabo, Aijoma Mohammed

“…To guarantee information flow between the building site and the digital model, several communication technology tools could be deployed and tested (High-definition site construction camera, regular site monitoring using drones, infrared smart sensors, etc.). The initial results of this research show an important improvement in the sustainability of construction sites. …”
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Non-local piezoelasticity to incorporate the influence of small-scale factors on the resonance behavior of the Mindlin piezoelectric polymeric nanoplates by Narinderjit Singh Sawaran Singh, Waqed H. Hassan, Zainab Mоhammed Ameen Ahmed, Younis Mohamed Atiah Al-zahy, Soheil Salahshour, Mostafa Pirmoradian

“…This research not only elucidates the complex interactions affecting resonance behavior but also highlights the potential for optimizing the design of nanostructures in various applications, including sensors and energy-harvesting devices. The findings suggest that increasing the non-local parameter softens the nanoplate's rigidity, leading to decreased resonance frequencies, while modifications in dimensions and applied voltages can enhance these frequencies. …”
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Design and Experimental Validation of a Model-Free Controller for Beam Stabilization in Adaptive Optics Systems by Sicheng Guo, Tao Cheng, Kangjian Yang, Lingxi Kong, Chunxuan Su, Shuai Wang, Ping Yang

“…Experimental results show that the FB-OPPI method features simple design and fast training, releases the requirement for additional sensors or model recognition. The FB-OPPI method is superior to traditional integral controllers, effectively handling high-frequency narrowband and complex beam jitters. …”
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Quantifying Older Adults’ Spatial Perceptions of Outdoor Activity Areas for Embedded Retirement Facilities by Guannan Fu, Yinan Gai, Liqun Xiang, Lin Lin

“…Three kinds of outdoor activity areas in a coastal city in eastern China were investigated, and older adults’ physiological data were collected through real environments from wearable sensors. Their subjective perception data were collected through subjective satisfaction questionnaires. …”
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Recognition Algorithm of Acoustic Emission Signals Based on Conditional Random Field Model in Storage Tank Floor Inspection Using Inner Detector by Yibo Li, Yuxiang Zhang, Huiyu Zhu, Rongxin Yan, Yuanyuan Liu, Liying Sun, Zhoumo Zeng

“…Acoustic emission (AE) technique is often used to detect inaccessible area of large storage tank floor with AE sensors placed outside the tank. For tanks with fixed roofs, the drop-back signals caused by condensation mix with corrosion signals from the tank floor and interfere with the online AE inspection. …”
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Agricultural sustainability through Smart Farming Systems: A comparative Analysis Between the Republic of Korea and Republic of Uganda. by Happy, Kenneth, Gang, Roggers, Ban, Yeongjun, Yang, Sungyu, Rahmat, Endang, Okello, Denis, Komakech, Richard, Cyrus, Okello, Okello, Kalule David, Kang, Youngmin

“…Smart farming involves the integration of information and communication technologies into machinery and sensors for use in agricultural systems. It is expected to potentially enhance the sustainability of agriculture and global food security. …”
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Characterising the short- and long-term impacts of tropical cyclones on mangroves using the Landsat archive by Emma Asbridge, Claire Krause, Richard Lucas, Christopher J. Owers, Kerrylee Rogers, Leo Lymburner, Norman Mueller, Emma Ai, Sebastian Wong

“…Improvements in Earth observation data, particularly satellite-based sensors and datacube environments, have enhanced capacity to classify time-series data and advanced landscape monitoring. …”
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Pressure-dependent current transport in vertical BP/MoS2 heterostructures by Ofelia Durante, Sebastiano De Stefano, Adolfo Mazzotti, Loredana Viscardi, Filippo Giubileo, Osamah Kharsah, Leon Daniel, Stephan Sleziona, Marika Schleberger, Antonio Di Bartolomeo

“…The results of this work highlight the potential of BP/MoS2 heterostructures for applications in low-power electronics, high-performance transistors, and sensitive pressure sensors.…”
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Multilevel Bloom Filters for P2P Flows Identification Based on Cluster Analysis in Wireless Mesh Network by Xia-an Bi, Xiaohui Wang, Luyun Xu, Sheng Chen, Hong Liu

“…Then we deploy our flow identification algorithm in the traffic monitoring sensors which belong to the network traffic monitoring system at the export link in the campus network. …”
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A segmentation method for LiDAR point clouds of aerial slender targets by Birong Huang, Zilong Wang, Jianhua Chen, Bingyang Zhou, Hao Ma

“…Unmanned aerial vehicles (UAV) can sense the surrounding environment through LiDAR and image sensors to make autonomous flight decisions. In this process, aerial slender targets, such as overhead power lines, pose a threat to the flight safety of UAVs. …”
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Deep Learning–Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach by Sara Abbasi, Khosro Rezaee

“…This architecture, adaptable to a convolution bottleneck attention–BiLSTM (CBA‐BiLSTM), classifies signals using data from ankle, leg, and trunk sensors. Finding Given three movement directions from three locations, we reduce computational complexity in two phases: selecting optimal channels through ensemble learning followed by feature reduction using attention mapping. …”
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Development and Assessment of the Sand Dust Prediction Model by Utilizing Microwave-Based Satellite Soil Moisture and Reanalysis Datasets in East Asian Desert Areas by Hyunglok Kim, Muhammad Zohaib, Eunsang Cho, Yann H. Kerr, Minha Choi

“…For several decades, satellite-based microwave sensors have provided valuable soil moisture monitoring in various surface conditions. …”
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On the Observational Solid Angle in Estimating the Moon-based Disk-integrated Earth Outgoing Longwave Radiation by Hanlin Ye, Huadong Guo, Dong Liang, Zhen Xu, Yin Jin, Guang Liu

“…Equipping sensors on the lunar surface would enable the capture of Earth’s outgoing longwave radiation (OLR) from nearly an entire hemisphere. …”
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Critical Segments Identification for Link Travel Speed Prediction in Urban Road Network by Xiaolei Ru, Xiangdong Xu, Yang Zhou, Chao Yang

“…Our research has a guiding significance on cost saving of various information acquisition techniques such as route planning of floating car or sensors layout.…”
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Enhancing the Spatial Resolution of Sentinel-2 Images Through Super-Resolution Using Transformer-Based Deep-Learning Models by Alireza Sharifi, Mohammad Mahdi Safari

“…However, spatial resolution limitations of current satellite sensors restrict the clarity and usability of captured images. …”
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Genotoxicity of Copper and Nickel Nanoparticles in Somatic Cells of Drosophila melanogaster by Erico R. Carmona, Alba García-Rodríguez, Ricard Marcos

“…Copper and nickel nanoparticles (Cu-NPs and Ni-NPs, respectively) are used in a variety of industrial applications, such as semiconductors, catalysts, sensors, and antimicrobial agents. Although studies on its potential genotoxicity already exist, few of them report in vivo data. …”
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Examination of empirical and Machine Learning methods for regression of missing or invalid solar radiation data using routine meteorological data as predictors by Konstantinos X Soulis, Evangelos E Nikitakis, Aikaterini N Katsogiannou, Dionissios P Kalivas

“…Sensors are prone to malfunction, leading to blank or erroneous measurements that cannot be ignored in most practical applications. …”
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Dynamic Foraging in Swarm Robotics: A Hybrid Approach with Modular Design and Deep Reinforcement Learning Intelligence by Ali Hammoud, Alaa Iskandar, Béla Kovács

“…The swarm comprises 8 E-Puck mobile robots, each equipped with light sensors. The proposed system is built on a 3D environment using the Webots simulator. …”
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PVC/MXene electrospun film triboelectric nanogenerator for efficient mechanical energy harvesting and multifunctional human motion sensing by Lina Liu, Weiqiu Zhu, Haotian Ma, Junyu Zhou

“…It also demonstrates excellent environmental durability, stability, and multifunctional sensing capabilities, including monitoring physiological signals and biomechanical movements, making it a promising candidate for self-powered wearable sensors, energy harvesting, gesture recognition, and healthcare applications. …”
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