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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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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Electric-field manipulation of magnetization in an insulating dilute ferromagnet through piezoelectromagnetic coupling by Dariusz Sztenkiel, Katarzyna Gas, Nevill Gonzalez Szwacki, Marek Foltyn, Cezary Śliwa, Tomasz Wojciechowski, Jarosław Z. Domagala, Detlef Hommel, Maciej Sawicki, Tomasz Dietl

“…Abstract The electric field control of magnetization is of significant interest in materials science due to potential applications in many devices such as sensors, actuators, and magnetic memories. Here, we report magnetization changes generated by an electric field in ferromagnetic Ga1−x Mn x N grown by molecular beam epitaxy. …”
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Comparison of Real Response and Theoretical Modeling of Pavement with Thick Asphalt Layers under Heavy Traffic Load by Jingsong Shan, Hongmei Shao, Qiuzhong Li, Peili Sun

“…Responses of the two structures under traffic loads were measured using optical fiber sensors, and the differences between theoretical model results and field measurements were analyzed. …”
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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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Technical note: Recommendations for diagnosing cloud feedbacks and rapid cloud adjustments using cloud radiative kernels by M. D. Zelinka, L.-W. Chao, T. A. Myers, T. A. Myers, Y. Qin, S. A. Klein

“…However, because this method relies on cloud property histograms derived from passive satellite sensors or produced by passive satellite simulators in models, changes in obscuration of lower-level clouds by upper-level clouds can cause apparent low-cloud feedbacks and adjustments, even in the absence of changes in lower-level cloud properties. …”
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Identification and Prioritization of Challenges and Development Technologies in One of Iran's Oil Fields in a Well-based Approach by Yasin Khalili, Mohammadreza Akbari, Hossein Heirani, Mohammad Ahmadi

“…Key technological solutions include improving drilling methods, utilizing downhole sensors, hydraulic fracturing, acidizing, and deploying smart systems in producing wells. …”
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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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Multimodal sentiment analysis based on multi-layer feature fusion and multi-task learning by Yujian Cai, Xingguang Li, Yingyu Zhang, Jinsong Li, Fazheng Zhu, Lin Rao

“…Abstract Multimodal sentiment analysis (MSA) aims to use a variety of sensors to obtain and process information to predict the intensity and polarity of human emotions. …”
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Fiber-tip photonic crystal for real-time referenced biosensing in serum by Mathias Dolci, Paco Dreverman, Mildred S. Cano-Velázquez, Arthur L. Hendriks, Emiel Veth, P.J. van Veldhoven, Andrea Fiore, Peter Zijlstra

“…Fiber optic sensors have become increasingly well-established due to the many advantages they provide such as immunity to electromagnetic interference, multiplexing capabilities, and remote sensing. …”
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Influence of Splitter Blades on the Flow Field of a Centrifugal Pump: Test-Analysis Comparison by G. Kergourlay, M. Younsi, F. Bakir, R. Rey

“…The pressure fluctuations are measured at four locations at the BEP using dynamic pressure sensors. The experimental results match the numerical predictions, so that the effect of adding splitter blades on the pump is acknowledged. …”
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Luminescence enhancement of Y2O3:Er3+ and Y2O3:Yb3+/Er3+ sub-microcrystals by Zr4+ ions Co-doping by Zixuan Jiang, Bing Liu, Zehua Zhang, Lili Wang, Zhixu Jia, Dan Zhao

“…This research contributes to the understanding of UC luminescent properties of lanthanide (Ln3+) ions doped UC materials and their technological applications in fields such as bioimaging, drug delivery, and optical temperature sensors.…”
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Comparison of different feedback controllers on an airfoil benchmark by L. Michel, C. Braud, J.-P. Barbot, J.-P. Barbot, F. Plestan, D. Peaucelle, X. Boucher

“…The benchmark considered is an airfoil section equipped with trailing edge jets, load sensors and a perturbation system. The objective is to track the lift command under external wind perturbations. …”
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Closely Spaced MEG Source Localization and Functional Connectivity Analysis Using a New Prewhitening Invariance of Noise Space Algorithm by Junpeng Zhang, Yuan Cui, Lihua Deng, Ling He, Junran Zhang, Jing Zhang, Qun Zhou, Qi Liu, Zhiguo Zhang

“…Our previous work proposed an invariance of noise space (INN) method to resolve closely spaced sources, but its performance is seriously degraded under correlated noise between MEG sensors. The proposed PW-INN method largely mitigates the adverse influence of correlated MEG noise by projecting MEG data to a new space defined by the orthogonal complement of dominant eigenvectors of correlated MEG noise. …”
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Optimizing and Enhancing Piezoelectric Energy Harvesting Devices by Amri Chaymae, Gaouzi Khawla, Jilbab Abdelilah, el Yousfi Alaoui My Hachem, Azrar Lahcen

“…This technology provides a renewable and unlimited energy source, particularly useful for biomedical sensors with strict energy requirements.…”
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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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Mobile Applications in Breast Cancer Postoperative Care: A Scoping Review by Maryam Alidadi, Reza Rabiei, Atieh Akbari, Hassan Emami, Seyed Mohsen Laal Mousavi

“…In five studies, various devices and sensors, like Bluetooth and GPS, were utilized in mobile applications to monitor physical activity, stress levels, heart rate, sleep patterns, and calorie intake. …”
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Advances in the application of digital technology in orthodontic monitoring by WANG Qi, LUO Ting, LU Wei, ZHAO Tingting, HE Hong, HUA Fang

“…Artificial intelligence technology has made initial strides in automating the identification of orthodontic tooth movement, associated complications, and patient compliance evaluation. Sensors are effective tools for monitoring patient adherence and providing data-driven support for clinical decision-making. …”
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Static Output-Feedback Path-Tracking Controller Tolerant to Steering Actuator Faults for Distributed Driven Electric Vehicles by Miguel Meléndez-Useros, Fernando Viadero-Monasterio, Manuel Jiménez-Salas, María Jesús López-Boada

“…Furthermore, it only uses information from sensors, avoiding estimation stages. This controller can operate in two modes: a no-fault mode where only the steering is controlled to follow the reference path and a fault mode where the controller manages both the steering and torque vectoring. …”
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Multiple-Camera Patient Tracking Method Based on Motion-Group Parameter Reconstruction by Simeon Karpuzov, George Petkov, Stiliyan Kalitzin

“…We propose a new approach of fusing multiple camera sensors. It uses a proprietary motion-group parameter reconstruction algorithm and includes scenarios of both overlapping and non-overlapping fields of view. …”
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