Trap Assisted Dynamic Mechanoluminescence Toward Self‐Referencing and Visualized Strain Sensing by Tianli Wang, Pengfei Zhang, Jianqiang Xiao, Ziyi Guo, Xiongwu Xie, Jiahao Huang, Jiaojiao Zheng, Xuhui Xu, Lei Zhao

“…Abstract Strain sensors utilizing mechanoluminescent (ML) materials have garnered significant attention and application due to their advantages, such as self‐powering, non‐contact operation, and real‐time response. …”
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Random resistive memory-based deep extreme point learning machine for unified visual processing by Shaocong Wang, Yizhao Gao, Yi Li, Woyu Zhang, Yifei Yu, Bo Wang, Ning Lin, Hegan Chen, Yue Zhang, Yang Jiang, Dingchen Wang, Jia Chen, Peng Dai, Hao Jiang, Peng Lin, Xumeng Zhang, Xiaojuan Qi, Xiaoxin Xu, Hayden So, Zhongrui Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu

“…Abstract Visual sensors, including 3D light detection and ranging, neuromorphic dynamic vision sensor, and conventional frame cameras, are increasingly integrated into edge-side intelligent machines. …”
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Noninvasive Detection of Alpha-Amylase in Saliva Using Screen-Printed Carbon Electrodes: A Promising Biomarker for Clinical Oral Diagnostics by Reviansyah FH, Ristin AD, Rauf AA, Sepirasari PD, Alim FN, Nur Y, Takarini V, Yusuf M, Aripin D, Susilawati S, Komariah M, Alam BYCSSS

“…This study underscores the sensor’s effectiveness as a non-invasive tool for early detection using saliva as a biomarker, enhancing patient comfort and compliance. …”
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Spatial and Temporal Variations in 94-GHz Radar Backscatter From a Springtime Snowpack by William D. Harcourt, Duncan A. Robertson, David G. Macfarlane, Brice R. Rea, Mike R. James, Mark Diggins, Blair Fyffe

“…We deployed both the second generation All-weather Volcano Topography Imaging Sensor (AVTIS2) 94 GHz radar and a Riegl LPM-321 Terrestrial Laser Scanner in the Cairngorms National Park, Scotland, in March 2021 over 3 days. …”
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Weak coupling of observed surface PM2.5 in Delhi-NCR with rice crop residue burning in Punjab and Haryana by Poonam Mangaraj, Yutaka Matsumi, Tomoki Nakayama, Akash Biswal, Kazuyo Yamaji, Hikaru Araki, Natsuko Yasutomi, Masayuki Takigawa, Prabir K. Patra, Sachiko Hayashida, Akanksha Sharma, A. P. Dimri, Surendra K. Dhaka, Manpreet S. Bhatti, Mizuo Kajino, Sahil Mor, Ravindra Khaiwal, Sanjeev Bhardwaj, Vimal J. Vazhathara, Ravi K. Kunchala, Tuhin K. Mandal, Prakhar Misra, Tanbir Singh, Kamal Vatta, Suman Mor

“…We measured PM2.5, carbon monoxide (CO) and related parameters over Delhi-NCR, Haryana and Punjab from a network of 30 low-cost sensors (CUPI-Gs) in a selected period (September–November) of 2022 and 2023. …”
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A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching by Jose Moises Araya-Martinez, Jose Moises Araya-Martinez, Vinicius Soares Matthiesen, Vinicius Soares Matthiesen, Simon Bøgh, Jens Lambrecht, Rui Pimentel de Figueiredo

“…However, this task often requires expensive equipment such as 3D cameras or Lidar sensors, as well as significant computational resources. …”
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Enhanced Piezoelectric Properties of Poly(L‐lactide) Nanocomposite Microfiber Scaffolds Due to Polydopamine‐Coating of Barium Titanate Nanoparticles by Richard Schönlein, Xabier Larrañaga, Asier Panfilo, Yu Li, Aitor Larrañaga, Guoming Liu, Alejandro J. Müller, Robert Aguirresarobe, Jone M. Ugartemendia

“…Abstract Recent biomedical applications demand piezoelectric polylactide (PLA)‐based polymers, possessing biodegradable and biocompatible properties for tissue regeneration, implantable force sensors, and energy harvesting devices. However, piezoelectric poly(L‐lactide) (PLLA) possesses weak piezoelectric properties in comparison to non‐biodegradable poly(vinylidene fluoride) (PVDF), limiting its application. …”
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Predictive Analysis of Structural Damage in Submerged Structures: A Case Study Approach Using Machine Learning by Alexandre Brás dos Santos, Hugo Mesquita Vasconcelos, Tiago M. R. M. Domingues, Pedro J. S. C. P. Sousa, Susana Dias, Rogério F. F. Lopes, Marco L. P. Parente, Mário Tomé, Adélio M. S. Cavadas, Pedro M. G. P. Moreira

“…This study focuses on the development of a machine learning (ML) model to elaborate on predictions of structural damage in submerged structures due to ocean states and subsequently compares it to a real-life case of a 6-month experiment with a benthic lander bearing a multitude of sensors. The ML model uses wave parameters such as height, period and direction as input layers, which describe the ocean conditions, and strains in selected points of the lander structure as output layers. …”
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Deep-learning-based canopy height model generation from sub-meter resolution panchromatic satellite imagery by Charles J Abolt, Javier E Santos, Adam L Atchley, Lucas Wells, Daithi Martin, Russell A Parsons, Rodman R Linn

“…To date, success with these methods has been demonstrated using multichannel aerial photography and specialized satellite data products derived from multiple sensors, neither of which is commonly available at temporal resolutions finer than one year. …”
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Calm ocean, stormy sea: atmospheric and oceanographic observations of the Atlantic during the Atlantic References and Convection (ARC) ship campaign by L. Köhler, L. Köhler, J. Windmiller, D. Baranowski, M. Brennek, M. Ciuryło, L. Hayo, D. Kȩpski, S. Kinne, B. Latos, B. Lobo, T. Marke, T. Nischik, D. Paul, P. Stammes, A. Szkop, O. Tuinder

“…We present data from the integrated ship sensors (DSHIP); a humidity and temperature profiler (HATPRO); a ceilometer; aerosol instruments (DustTrak, Microtops, and Calitoo); radiosondes; uncrewed aircraft vehicles (UAVs); and conductivity, temperature, and depth (CTD) profiles of the upper ocean. …”
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Prediksi Detak Jantung Berbasis LSTM pada Raspberry Pi untuk Pemantauan Kesehatan Portabel by Ahmad Foresta Azhar Zen, Eko Sakti Pramukantoro, Kasyful Amron, Viera Wardhani, Putri Annisa Kamila

“…It also enables seamless integration with various sensors, making it an ideal solution for portable health monitoring. …”
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Research Progress in Monitoring Technology of Cold Chain Logistics for Meat Products by Bin HAN, Dongmei LENG, Yuqian XU, Jianyang SHEN, Xin LI, Xiaochun ZHENG, Wei WANG, Dequan ZHANG, Chengli HOU

“…To analyze the future development of meat cold chain logistics monitoring technology combined with sensors, narrowband internet of things, machine learning, and blockchain, and to provide theoretical support for the research and application of China's cold chain logistics monitoring technology.…”
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Remote Monitoring of Chemotherapy-Induced Peripheral Neuropathy by the NeuroDetect iOS App: Observational Cohort Study of Patients With Cancer by Ciao-Sin Chen, Michael P Dorsch, Sarah Alsomairy, Jennifer J Griggs, Reshma Jagsi, Michael Sabel, Amro Stino, Brian Callaghan, Daniel L Hertz

“…MethodsThe NeuroDetect app (Medable Inc) includes subjective EORTC (European Organization for Research and Treatment of Cancer) Quality of Life Questionnaire (QLQ)–20-item scale (CIPN20) and 6 objective functional assessments that use smartphone sensors to mimic neurological examinations, such as walking, standing, and manual dexterity tests. …”
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Dairy cows' responses to 2 separation methods after 3 months of cow-calf contact by Anina Vogt, Susanne Waiblinger, Rupert Palme, Uta König von Borstel, Kerstin Barth

“…During the same period, lying behavior and rumination time was automatically assessed via accelerometers and pressure sensors. Fecal and blood samples were collected twice per week from day −1 until +23 relative to separation start for analysis of fecal cortisol metabolites and the immune response. …”
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Mathematical modelling-based blockchain with attention deep learning model for cybersecurity in IoT-consumer electronics by Hayam Alamro, Mohammed Maray, Jawhara Aljabri, Saad Alahmari, Monir Abdullah, Jehad Saad Alqurni, Faiz Abdullah Alotaibi, Abdelmoneim Ali Mohamed

“…Prepared with sophisticated sensors and onboard processing abilities, these drones autonomously examine aerial imagery to identify and classify possible risks like suspicious activities, unauthorized personnel, or vehicles. …”
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Assessment of Water Surface Reflectance and Optical Water Types Over Two Decades in Europe's Largest Artificial Lake: An Intercomparison of ESA and NASA Satellite Data by Goncalo Rodrigues, Miguel Potes, Maria Joao Costa

“…This methodology enables the identification of advantages and disadvantages associated with the utilization of each sensor in large reservoirs and across extensive datasets.…”
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Novel image registration algorithm for scene-matching navigation by Hongrui YANG, Qiju ZHU, Peixian CAO, Hao GU, Dongdong ZHAO

“…This is advantageous over point and line features, especially when handling nonlinear intensity differences among heterogeneous images during matching, enabling precise matching of image data collected by different sensors and satisfying high-precision navigation needs under all-weather conditions for aerial vehicles. …”
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Efficient synthesis of fluorinated triphenylenes with enhanced arene–perfluoroarene interactions in columnar mesophases by Yang Chen, Jiao He, Hang Lin, Hai-Feng Wang, Ping Hu, Bi-Qin Wang, Ke-Qing Zhao, Bertrand Donnio

“…The high potential of non-covalent arene–fluoroarene intermolecular interactions in the design of liquid crystals lies in their ability to strongly promote self-assembly, improve the order and stability of the supramolecular mesophases, and enable tuneability of the optical and electronic properties, which can potentially be exploited for advanced applications in display technologies, photonic devices, sensors, and organic electronics. We recently successfully reported the straightforward synthesis of several mesogens containing four lateral aliphatic chains and derived from the classical triphenylene core self-assembling in columnar mesophases based on this paradigm. …”
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Retrieval and Evaluation of Global Surface Albedo Based on AVHRR GAC Data of the Last 40 Years by Shaopeng Li, Xiongxin Xiao, Christoph Neuhaus, Stefan Wunderle

“…In contrast, CLARA-A3 exhibits significant noise before the 2000s due to the limited availability of observations, while C3S shows substantial biases during the same period due to imperfect sensors intercalibrations. Extensive validation at globally distributed homogeneous sites shows that GAC43 has comparable accuracy to C3S, with an overall RMSE of approximately 0.03, but a smaller positive bias of 0.012. …”
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A Single Electrode Organic Neuromorphic Device for Dopamine Sensing in Vivo by Federico Rondelli, Michele Di Lauro, Gioacchino Calandra Sebastianella, Anna De Salvo, Matteo Genitoni, Mauro Murgia, Pierpaolo Greco, Carolina Giulia Ferroni, Riccardo Viaro, Luciano Fadiga, Fabio Biscarini

“…Nevertheless, interesting properties of organic (semi‐)conductors are usually neglected in the development of (bio‐)sensors. Among these, the non‐linear response when operated under dynamic biasing conditions (i.e., with pulsed driving voltages), thus mimicking synaptic plasticity phenomena, offers promising and largely unexplored possibilities for bio‐sensing. …”
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