Revealing Novel Connections Between Space Weather and the Power Grid: Network Analysis of Ground‐Based Magnetometer and Geomagnetically Induced Currents (GIC) Measurements by Joseph Hughes, Ryan Mcgranaghan, Adam C. Kellerman, Jacob Bortnik, Robert F. Arrit, Karthik Venkataramani, Charles H. Perry, Jackson McCormick, Chigomezyo M. Ngwira, Morris Cohen

“…To do this, times when a current deviation exists are compared to times when magnetic deviations exist for each magnetometer ‐ current sensor pair. Current deviations are, on average, 1.83 times more likely when there are magnetic deviations. …”
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Revealing intra- and inter-container fruit quality heterogeneity within overseas refrigerated container shipments using a physics-based digital twin by Celine Verreydt, Tarl Berry, Leo Lukasse, Deniz Turan, Paul Cronje, Thijs Defraeye

“…Supply air temperature sensor data of shipments from South Africa to Europe and Asia, as well as the fruit packaging type, were fed to the digital twin. …”
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Photochemical activity in developing pea (<i>Pisum sativum</i> L.) cotyledons depends on the light transmittance of covering tissues and the spectral composition of light by G. N. Smolikova, N. V. Stepanova, A. M. Kamionskaya, S. S. Medvedev

“…We assessed the light transmittance of plant tissues by placing the plant tissue between the light source and the spectroradiometer’s sensor. PAM fluorometry was used to quantify the photochemical activity in plant tissues: this technique is handy for evaluating the efficiency of converting light energy into chemical energy through the analysis of the kinetics of chlorophyll fluorescence excitation and quenching. …”
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Sol–gel synthesis of silicon oxide (SiO2) nanoparticles: exploring gas sensing and photocatalytic applications by Laxmi D. Sonawane, Abhinay S. Mandawade, Anil B. Gite, Sarika D. Shinde, Ganesh E. Patil, Latesh K. Nikam, Vishal H. Goswami, Ramesh B. Bhise, Pradip B. Sarawade, Mahendra S. Shinde

“…The gas sensing properties of the SiO2 NPs were tested on domestic gas sensor units for different gases, including ethanol, methanol, CO2, LPG, H2S, NH3, O2, and Cl2, at temperatures ranging from room temperature to 300 °C. …”
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Hydrogen Leakage Location Prediction in a Fuel Cell System of Skid-Mounted Hydrogen Refueling Stations by Leiqi Zhang, Qiliang Wu, Min Liu, Hao Chen, Dianji Wang, Xuefang Li, Qingxin Ba

“…This approach addresses the limitations of sensor detection in accurately locating leaks and mitigates the risks associated with manual inspections. …”
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Plantar Temperature Response to Walking in Diabetes with and without Acute Charcot: The Charcot Activity Response Test by Bijan Najafi, James S. Wrobel, Gurtej Grewal, Robert A. Menzies, Talal K. Talal, Mahmoud Zirie, David G. Armstrong

“…The PT response as a function of number of steps was examined using a validated wearable sensor technology. The hot spot temperature was identified by the 95th percentile of measured temperature at each anatomical region (hind/mid/forefoot). …”
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Efficient Implementation of Mahalanobis Distance on Ferroelectric FinFET Crossbar for Outlier Detection by Musaib Rafiq, Yogesh Singh Chauhan, Shubham Sahay

“…Therefore, there is an urgent need for a compact and energy-efficient implementation of an outlier detection technique which may be deployed on AIoT primitives, including wireless sensor nodes for in-situ outlier detection and generation of high-quality data. …”
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Fault diagnosis of a CNC hobbing cutter through machine learning using three axis vibration data by Nagesh Tambake, Bhagyesh Deshmukh, Sujit Pardeshi, Sachin Salunkhe, Robert Cep, Emad Abouel Nasr

“…Real-world deployment challenges, including diverse operating conditions and generalizability across machines, were also discussed, with recommendations for incorporating multi-sensor data and transfer learning approaches in future research. …”
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High SERS performance of functionalized carbon dots in the detection of dye contaminants by Yanqiu Yang, Lingru Kong, Yong Ding, Lixin Xia, Shuo Cao, Peng Song

“…The strategy developed promises to be a new sensor technology and has great potential for environmental and food safety applications.…”
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Electromagnetic metamaterial agent by Shengguo Hu, Mingyi Li, Jiawen Xu, Hongrui Zhang, Shanghang Zhang, Tie Jun Cui, Philipp del Hougne, Lianlin Li

“…Abstract Metamaterials have revolutionized wave control; in the last two decades, they evolved from passive devices via programmable devices to sensor-endowed self-adaptive devices realizing a user-specified functionality. …”
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LTEM: Lightweight Trust Evaluation Model in IoT Environment by Somya Abdulkarim Alhandi, Hazalila Kamaludin, Nayef Abdulwahab Mohammed Alduais, Noor Zuraidin Mohd Safar, Salama A. Mostafa

“…Moreover, LTEM enhances the operational efficiency of sensor nodes regarding energy consumption, achieving an average energy utilization of 1.33J out of 4J, resulting in savings of approximately 2.67J on average, thereby extending the lifespan of nodes. …”
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Hydraulic Power Plant Machine Dynamic Diagnosis by Hans Günther Poll, José Carlos Zanutto, Walter Ponge-Ferreira

“…The method how to acquire these quantities is discussed in details together with the importance of correct sensor balancing, calibration and adequate correlation with the physical quantities. …”
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Decentralized and Asymmetric Multi-Agent Learning in Construction Sites by Yakov Miron, Dan Navon, Yuval Goldfracht, Dotan Di Castro, Itzik Klein

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Modified vaccinia virus Ankara triggers type I IFN production in murine conventional dendritic cells via a cGAS/STING-mediated cytosolic DNA-sensing pathway. by Peihong Dai, Weiyi Wang, Hua Cao, Francesca Avogadri, Lianpan Dai, Ingo Drexler, Johanna A Joyce, Xiao-Dong Li, Zhijian Chen, Taha Merghoub, Stewart Shuman, Liang Deng

“…MVA induction of type I IFN is fully dependent on STING (stimulator of IFN genes) and the newly discovered cytosolic DNA sensor cGAS (cyclic guanosine monophosphate-adenosine monophosphate synthase). …”
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DESIGN OF THE CONTACT POTENTIALS DIFFERENCE PROBES by K. U. Pantsialeyeu, U. A. Mikitsevich, A. L. Zharin

“…To provide a high amplitude and phase stability the upgraded generator with Wien bridge was used instead traditional oscillation sensor. The preamplifier made on the base of modern operational amplifiers with femtoampere current input. …”
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Multiscale wildfire and smoke detection in complex drone forest environments based on YOLOv8 by Wenyu Zhu, Shanwei Niu, Jixiang Yue, Yangli Zhou

“…Traditional fire monitoring methods such as manual inspections, sensor technologies, and remote sensing satellites have limitations. …”
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A Joint Forgetting Factor-Based Adaptive Extended Kalman Filtering Approach to Predict the State-of-Charge and Model Parameter of Lithium-Ion Battery by Satyaprakash Rout, Satyajit Das

“…Furthermore, the estimator&#x2019;s robustness is tested under adverse conditions, including offset current, sensor bias voltage, and parametric uncertainties in the battery model and state estimator. …”
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CRISPR/Cas Enzyme Catalysis in Liquid–Liquid Phase‐Separated Systems by Yaqin Zhang, Jianai Chen, Zhina Wu, Chenfei Zhao, Rui Wang, Zhiping Li, Jiasi Wang, Di Wang

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Nogo Osing Apps: Aplikasi Smart Farming Buah Naga Berbasis IoT by Maulida Dwi Agustiningsih, Putri Catur Ayu Lestari, Ravika Mutiara Savitrah, Arif Fahmi, Hamdan -

“…Kombinasi arduino, microcontroller, sensor flow, soil moisture dan modul relay dapat memonitoring suhu dan kelembaban tanah guna menghasilkan buah naga yang optimal. …”
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Intrusion detection in metaverse environment internet of things systems by metaheuristics tuned two level framework by Milos Antonijevic, Miodrag Zivkovic, Milica Djuric Jovicic, Bosko Nikolic, Jasmina Perisic, Marina Milovanovic, Luka Jovanovic, Mahmoud Abdel-Salam, Nebojsa Bacanin

“…Abstract Internet of Things (IoT) is one of the most important emerging technologies that supports Metaverse integrating process, by enabling smooth data transfer among physical and virtual domains. Integrating sensor devices, wearables, and smart gadgets into Metaverse environment enables IoT to deepen interactions and enhance immersion, both crucial for a completely integrated, data-driven Metaverse. …”
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