Digital measurement of ocular microtremor in Parkinson's disease: Protocol for a pilot study to assess reliability and clinical validation. by Lisa Graham, Rodrigo Vitorio, Richard Walker, Alan Godfrey, Rosie Morris, Samuel Stuart

“…People with PD will be invited into the laboratory to perform extensive cognitive assessments along with an assessment of balance, gait, and turning using wearable sensors. People with PD will be assessed both off, and on, their anti-parkinsonian medication following a 12 hour washout period. …”
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Computational insights into spin-polarized density functional theory applied to actinide-based perovskites XBkO₃ (X = Sr, Ra, Pb) by Youssef Didi, Mounir Belhajji, Soufiane Bahhar, Abdellah Tahiri, Mohamed Naji, Abdelilah Rjeb, Hatim G. Zaini, Aymen Flah, Sherif S. M. Ghoneim, Ahmed B. Abou Sharaf, Mofreh A. Hashim

“…The optical properties of these materials indicate they are excellent absorbers of incident radiation, suggesting their potential for applications in magnetic sensors due to their anisotropic magnetic behavior, as well as for capturing solar radiation in the ultraviolet range.…”
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Single-channel attention classification algorithm based on robust Kalman filtering and norm-constrained ELM by Jing He, Zijun Huang, Yunde Li, Jiangfeng Shi, Yehang Chen, Chengliang Jiang, Jin Feng

“…Experimental data were collected using a Schulte Grid paradigm and TGAM sensors, along with publicly available datasets for validation.ResultsThe robust Kalman filter demonstrated superior denoising performance, achieving an average AUC of 0.8167 and a maximum AUC of 0.8678 on self-collected datasets, and an average AUC of 0.8344 with a maximum of 0.8950 on public datasets. …”
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Development of a Cost-effective Adsorption Dryer for High-quality Aerosol Sampling by Simonas Kecorius, Leizel Madueño, Susanne Sues, Josef Cyrys, Mario Lovrić, Mira Pöhlker, Kristina Plauškaitė, Lina Davulienė, Agnė Minderytė, Steigvilė Byčenkienė

“…., long-term measurements, intensive field campaigns, laboratory studies, and applications with low-cost sensors). The DD is equipped with ports for desiccant regeneration using clean and dry air, eliminating the need for desiccant removal from the dryer. …”
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Machine Learning-Based Prediction of 2 MW Wind Turbine Tower Loads During Power Production Based on Nacelle Behavior by Soichiro Kiyoki, Shigeo Yoshida, Mostafa A. Rushdi

“…The proposed method has the ability to predict the loads at the bottom of the tower without any, or with only a few, additional sensors.…”
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Low-Cost Driver Monitoring System Using Deep Learning by Hady A. Khalil, Sherif A. Hammad, Hossam E. Abd El Munim, Shady A. Maged

“…Early monitoring systems relied on data from vehicle sensors, and modern systems commonly use driver’s eye tracking. …”
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The Potential for Observing African Weather with GNSS Remote Sensing by Olalekan A. Isioye, Ludwig Combrinck, Joel O. Botai, Cilence Munghemezulu

“…Most stations lack collocated meteorological sensors and other geodetic observing systems as called for by the GCOS Reference Upper Air Network (GRUAN) GNSS Precipitable Water Task Team and the World Meteorological Organization (WMO). …”
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Portable optical spectroscopy and machine learning techniques for quantification of the biochemical content of raw food materials by Cosimo Ricci, Agata Gadaleta, Annamaria Gerardino, Angelo Didonna, Giuseppe Ferrara, Francesca Romana Bertani

“…Conclusions The application of portable sensors using NIR spectroscopy can be a valid and rapid alternative to the use of destructive laboratory techniques for the assessment of protein content in intact wheat seeds and ripeness grade (TSS) in intact pomegranates.…”
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Optimizing electrical output performance of triboelectric nanogenerators by micro-/nano-morphology design and fabrication by Jiaxin Han, Xingyi Dai, Long-Biao Huang, Jianhua Hao

“…Subsequently, typical applications of TENGs with special morphology divided by energy harvesting and self-powered sensors are presented. Finally, an overview of the challenges and future trajectories pertinent to TENGs is conducted. …”
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Application of the ESTARFM algorithm for fusing Sentinel-2 and MODIS NDSI series in the eastern Qilian Mountains by Hui Guo, Xiaoyan Wang, Zhiqi Ouyang, Siyong Chen, Tao Che, Zhaojun Zheng

“…However, there is a trade-off between the high/low spatial resolution and low/high temporal resolution of available sensors. In this study, an enhanced spatiotemporal adaptive reflectance fusion model (ESTARFM) based on the Google Earth Engine (GEE) was used to resolve this limitation. …”
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Regulation of pattern recognition receptor signaling by palmitoylation by Xiaocui Li, Xiaofang Hu, Hongjuan You, Kuiyang Zheng, Renxian Tang, Fanyun Kong

“…Summary: Pattern recognition receptors (PRRs), consisting of Toll-like receptors, RIG-I-like receptors, cytosolic DNA sensors, and NOD-like receptors, sense exogenous pathogenic molecules and endogenous damage signals to maintain physiological homeostasis. …”
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A comprehensive numerical study exploring the significance of thermally reactive bioconvection in Falkner-Skan flow of Williamson nanomaterials influenced by activation energy and... by M. Israr Ur Rehman, Haibo Chen, Aamir Hamid, Wu Qian, Refka Ghodhbani, Mohamed Hussien

“…The analysis is further improved by adding thermophoretic diffusion and Brownian motion to the energy and concentration equations Bio-fuels, enzymes, industry, bio-sensors, petroleum, and a number of other novel biotechnological features are also influenced by the bioconvective mechanisms in nanomaterials. …”
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Interactive Visualization Tools for Managing the Monitoring System of the Piazza del Duomo UNESCO Site in Pisa by Laura Vignali, Giada Bartolini, Anna De Falco, Lorenzo Gianfranceschi, Massimiliano Martino, Federica Pucci, Carlo Resta

“…With their interactive architecture, the two developed integrated visualization tools that could offer an effective solution for data management and visualization in other heritage contexts, particularly in cases where the monitoring system consists of numerous sensors and has evolved substantially over the years.…”
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Internet of things enabled parking management system using long range wide area network for smart city by Waheb A. Jabbar, Lu Yi Tiew, Nadiah Y. Ali Shah

“…IoT-SPMS-LoRaWAN features intelligent sensing nodes that incorporate an Arduino UNO microcontroller and two sensors—a triaxial magnetic sensor and a waterproof ultrasonic sensor. …”
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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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Sensitizing performance of air purifiers for the high-rise commercial buildings in urban core by Sandeep Budde, Sandeep Budde, Prabhjot Singh Chani, Sandeep Agrawal

“…Most air purifiers (PM 10 and PM 2.5) are energy-intensive but are not always equipped with sensors. In commercial buildings, air purifiers are operated based on publicly relayed pollution information. …”
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Dynamic Classifier Auditing by Unsupervised Anomaly Detection Methods: An Application in Packaging Industry Predictive Maintenance by Fernando Mateo, Joan Vila-Francés, Emilio Soria-Olivas, Marcelino Martínez-Sober, Juan Gómez-Sanchis, Antonio José Serrano-López

“…By leveraging the classifier to condense sensor data and applying anomaly detection to its output, the system optimizes the decision reliability. …”
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Fault Prediction and Recovery Using Machine Learning Techniques and the HTM Algorithm in Vehicular Network Environment by Salah Zidi, Bechir Alaya, Tarek Moulahi, Amal Al-Shargabi, Salim El Khediri

“…Failures that mislead real-time data from vehicle sensors and other devices have become massive, and the need for automated techniques that can analyze data to detect malicious sources has become paramount. …”
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A Hybrid Dual-Axis Solar Tracking System: Combining Light-Sensing and Time-Based GPS for Optimal Energy Efficiency by Muhammad Hammas, Hassen Fituri, Ali Shour, Ashraf Ali Khan, Usman Ali Khan, Shehab Ahmed

“…The system is based on the combination of two approaches to precisely track the sunlight: first, using multiple LDRs (light-dependent resistors) as photo sensors to track the position of the sun by balancing the resistivity using a proportional integral deprival (PID) controller, and the second approach using the time-based control for cloudy days when sunlight is diffused, getting the time GPS coordinates and time to calculate the accurate position of the sun by determining the azimuth and altitude angle. …”
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Impact of distortions in UAV images on quality and accuracy of object localization by Rostyslav Tsekhmystro, Oleksii Rubel, Oleksandr Prysiazhniuk, Vladimir Lukin

“…Therefore, the research subject of this paper is the performance of object localization and classification methods for color images acquired by UAV-installed sensors. The primary focus is on the dependence of localization and classification metrics on the noise intensity, where the simulated noise mimics not only noise but also distortions due to lossy compression by modern coders. …”
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