Impact of Wildfire Smoke Events on Indoor Air Quality and Evaluation of a Low-cost Filtration Method by Nathaniel W. May, Clara Dixon, Daniel A. Jaffe

“…Indoor and outdoor hourly PM2.5 (µg m−3) measurements from the publicly available PurpleAir sensor (PAS) network were analyzed for 42 sites (26 residential, 6 school, 10 commercial) across the western US during a September 2020 period of heavy wildfire smoke influence. …”
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Automation of image processing through ML algorithms of GRASS GIS using embedded Scikit-Learn library of Python by Polina Lemenkova

“…The data are obtained from the United States Geological Survey (USGS) and include the Landsat 8 Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) multispectral satellite images. …”
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Jason y los argonautas: temporalidad, usabilidad y conocimiento tácito en el monitoreo oceánico de Argo by Lino Camprubí

“…En concreto, los científicos que actúan como expertos de Argo combinan un conocimiento de los sensores, de las boyas y del medio marino que les prepara para identificar anomalías de un modo difícil de automatizar. …”
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The Relationship between Landing Error Scoring System Performance and Injury in Female Collegiate Athletes by Peter Lisman, Joshua N. Wilder, Joshua Berenbach, Enric Jiao, Bethany Hansberger

“…The LESS was automatically scored using a Microsoft Kinect sensor and Athletic Movement Assessment software (PhysiMax®). …”
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Person Detection for an Orthogonally Placed Monocular Camera by Pavel Skrabanek, Petr Dolezel, Zdenek Nemec, Dominik Stursa

“…As the overall price is mainly given by prices of the used sensor and processing unit, we propose the utilization of a visible spectrum camera and data processing algorithms of low time complexity to ensure a low price of the final product. …”
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Fatigue Characteristics and Numerical Modelling Prosthetic for Chopart Amputation by Saif M. Abbas, Ammar I. Kubba

“…The MatScan (F-socket) pressure sensor utilized these interface pressure measurements. …”
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Deep Feature Learning for Intrinsic Signature Based Camera Discrimination by Chaity Banerjee, Tharun Kumar Doppalapudi, Eduardo Pasiliao, Tathagata Mukherjee

“…However it is known that identifying a digital camera is possible by analyzing the camera's intrinsic sensor artifacts that are introduced into the images/videos during the process of photo/video capture. …”
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ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure Events by Aizaz Sharif, Dusica Marijan

“…Consider a scenario in which a slight perturbation in sensor data causes an autonomous vehicle to fail unexpectedly, potentially leading to accidents. …”
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Propellant Slosh Force and Mass Measurement by Andrew Hunt, Richard Foster-Turner, Ross Drury

“…Measurements are independent of and unaffected by orientation or levels of g. The electronics and sensor arrays can be low in mass, and critically, the technique does not dissipate heat into the propellant, which makes it intrinsically safe and suitable for cryogenic liquids. …”
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Confirmation of the Absence of Somogyi Effect in Patients with Type 2 Diabetes by Retrospective Continuous Glucose Monitoring Systems by Yuxin Huang, Xudan Lou, Weicong Huang, Jieyuzhen Qiu, Cuiping Jiang, Jiao Sun, Xiaoming Tao

“…Nocturnal hypoglycemia was defined as a CGMs sensor glucose of less than 3.9 mmol/L for at least 15 min between 24:00 and 06:00. …”
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Feedback loop centered on MAF1 reduces blood–brain barrier damage in sepsis-associated encephalopathy by Xuebiao Wei, Wenqiang Jiang, Zhonghua Wang, Yichen Li, Yuanwen Jing, Yongli Han, Linqiang Huang, Shenglong Chen

“…Knockdown of Cullin 2 (CUL2) stimulated the accumulation of MAF1 protein, attenuated the RNA sensor RIG-I/interferon regulatory factor 3 (IRF3) signaling pathway, and reduced cell apoptosis. …”
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CCD Standard Curve Fitting for Microarray Detection Base on Multi-Layer Perceptron by Zhenhua Gan, Dongyu He, Peishu Wu, Baoping Xiong, Nianyin Zeng, Fumin Zou, Feng Guo, Qin Bao, Fengyan Zhao

“…Due to the characteristics of semiconductors, the CCD sensor in the scanner we designed suffers from saturation, the non-linear relationship between photoelectric response and the light intensity collected by CCD, which poses a challenge for fitting the standard curve of microarray scanner. …”
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Prediction of the cutting tool wear during dry hard turning of AISI D2 steel by using models based on Learning process and GA polyfit by Khaled Djellouli, Kamel Haddouche, Mostefa Belarbi, Zoubir Aich

“…In the absence of a real-time wear sensor, it is necessary to know or track wear with the view to prevent tool damage. …”
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Enhanced quantitative precipitation estimation through the opportunistic use of Ku TV-SAT links via a dual-channel procedure by L. Gelbart, L. Barthès, F. Mercier-Tigrine, A. Chazottes, C. Mallet

“…In this paper, we detail a theoretical framework allowing us to estimate rainfall from the measurements of a low-cost sensor operating simultaneously over two parts of the Ku frequency band. …”
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Preparation and Characterisation of Polypyrrole-Iron Oxyhydroxide Nanocomposite as Sensing Material by Farah Nabila Diauudin, Siti Aminah Mohd Noor, Jahwarhar Izuan Abdul Rashid, Victor Feizal Knight, Wan Md Zin Wan Yunus, Keat Khim Ong, Noor Azilah Mohd Kasim, Safura Taufik, Alinda Samsuri, Intan Juliana Shamsudin, Wahhida Latip

“…The combinations between PPy NPs and nanosized metal oxide have shown promising improvement in the sensitivity of a sensor due to the larger total surface area of detection. …”
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Time-series forecasting of microbial fuel cell energy generation using deep learning by Adam Hess-Dunlop, Harshitha Kakani, Stephen Taylor, Dylan Louie, Jason Eshraghian, Colleen Josephson

“…With further development, SMFCs show great promise for use in robust and affordable outdoor sensor networks, particularly for farmers. One of the greatest challenges in the development of this technology is understanding and predicting the fluctuations of SMFC energy generation, as the electro-generative process is not yet fully understood. …”
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A hyperspectral and multi-angular synthetic dataset for algorithm development in waters of varying trophic levels and optical complexity by J. Pitarch, V. E. Brando, V. E. Brando

“…A smaller version of the dataset, delivered at 12 Sentinel-3 Ocean and Land Colour Instrument (OLCI) bands (400 to 753 nm), was also produced, targeting multispectral sensor algorithm research. Derived AOPs encompass an array of above- and below-surface reflectances, diffuse attenuation coefficients, average cosines, and <span class="inline-formula"><i>Q</i></span> factor. …”
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RETRACTED: The Mechanism of Pertussis Cough Revealed by the Mouse-Coughing Model by Yukihiro Hiramatsu, Koichiro Suzuki, Takashi Nishida, Naoki Onoda, Takashi Satoh, Shizuo Akira, Masahito Ikawa, Hiroko Ikeda, Junzo Kamei, Sandra Derouiche, Makoto Tominaga, Yasuhiko Horiguchi

“…Bradykinin induced by LOS sensitized a transient receptor potential ion channel, TRPV1, which acts as a sensor to evoke the cough reflex. Vag8 further increased bradykinin levels by inhibiting the C1 esterase inhibitor, the major downregulator of the contact system, which generates bradykinin. …”
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A Multi-Target Threat Assessment Method Based on Objective Three-Way Decision by Humberto Baldessarini Pires, Lamartine Nogueira Frutuoso Guimaraes, Sergio Reboucas

“…Given the complex interplay of factors&#x2014;such as sensor accuracy and environmental conditions&#x2014;that contribute unpredictably to uncertainty, this concept better captures the dynamics inherent in TA. …”
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Quality identification of Amomi fructus using E-nose, HS-GC-IMS, and intelligent data fusion methods by Pan-Pan Zhang, Xin-Jing Gui, Xin-Jing Gui, Xin-Jing Gui, Xue-Hua Fan, Han-Li, Hai-Yang Li, Xiao-Peng Li, Feng-Yu Dong, Yan-Li Wang, Jing-Yao, Jing-Yao, Jun-Han Shi, Jun-Han Shi, Rui-Xin Liu, Rui-Xin Liu, Rui-Xin Liu, Rui-Xin Liu, Rui-Xin Liu

“…Orthogonal Partial Least Squares-Discriminant Analysis (OPLS-DA) identified 47 VOCs as differential markers for distinguishing authentic AF from counterfeits (VIP value &gt;1 and P &lt; 0.05). Based on the E-nose sensor response value and the peak volumes of the 111 VOCs, the unguided Principal Component Analysis (PCA), guided Principal Component Analysis-Discriminant Analysis (PCA-DA), and Partial Least Squares-Discriminant Analysis (PLS-DA) models were established to differentiate AF by authenticity, origin, and provenance. …”
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