Compressive Sensing in Power Engineering: A Comprehensive Survey of Theory and Applications, and a Case Study by Lekshmi R. Chandran, Ilango Karuppasamy, Manjula G. Nair, Hongjian Sun, Parvathy Krishnan Krishnakumari

“…Compressive Sensing (CS) is a transformative signal processing framework that enables sparse signal acquisition at rates below the Nyquist limit, offering substantial advantages in data efficiency and reconstruction accuracy. …”
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Elucidating metabolite and pH variations in stroke through guanidino, amine and amide CEST MRI: A comparative multi-field study at 9.4T and 3T by Kexin Wang, Licheng Ju, Guanda Qiao, Yajie Liang, Yihan Wu, Chengyan Chu, Joshua Rogers, Yuguo Li, Suyi Cao, Valina L. Dawson, Ted M Dawson, Piotr Walczak, Jiadi Xu

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Low-Power Platform and Communications for the Development of Wireless Body Sensor Networks by David Naranjo-Hernández, Laura M. Roa, Javier Reina-Tosina, Miguel A. Estudillo-Valderrama, Gerardo Barbarov

“…In this paper, a proposal of a hardware and software platform for biomedical sensors is performed, which is specially designed to minimize energy consumption in BSNs through a modular processing scheme based on the detection of events and information abstraction. …”
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Asynchronous Distance Learning Performance and Knowledge Retention of the National Institutes of Health Stroke Scale Among Health Care Professionals Using Video or e-Learning: Web-... by Avinash Koka, Loric Stuby, Emmanuel Carrera, Ahmed Gabr, Margaret O'Connor, Nathalie Missilier Peruzzo, Olivier Waeterloot, Friedrich Medlin, Fabien Rigolet, Thomas Schmutz, Patrik Michel, Thibaut Desmettre, Mélanie Suppan, Laurent Suppan

“…A sample size of 72 participants were deemed necessary to have an 80% chance of detecting a difference of 2 points in the postcourse quiz between groups at the 5% significance level. …”
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A TaqMan-MGB real-time PCR for discriminating between MS-H-live vaccine and field Mycoplasma synoviae strains by Ziqing Liu, Shouchang Zhou, Chenchen Meng, Doudou Ren, Weizhen Xiong, Guanhui Liu, Jinpeng Xu

“…The results showed that positive signals could be detected from the chicken choanal cleft swabs and are 100% in concordance with the PCR sequencing method. …”
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The occurrence of multidrug-resistant Mycobacterium tuberculosis from patients of pulmonary tuberculosis by Azhar Iqbal, Muhammad Shafique, Muhammad Asif Zahoor, Saima Muzammil, Zeeshan Nawaz, Abdul Jabbar, Mohsin Khurshid, Riaz Hussain, Md. Akhttarul Islam, Ahmad Almatroudi, Khaled Saleh Allemailem, Muhammad Hidayat Rasool, Bilal Aslam

“…A random convenient sampling technique was done to collect the sputum samples (twice) from the patients. Samples were processed for the detection of Mycobacterium tuberculosis using conventional detection methods like the Ziehl Nelson staining method and fluorescent microscopy. …”
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Using experience-based co-design approach to address mental health issues among healthcare workers and leaders in long-term care by Sheila A. Boamah, Mawukoenya Theresa Sedzro, Humayun Kabir, Brenda Vrkljan, Scott Mitchell, Laura De La Torre Pérez, Laura De La Torre Pérez, Marilina Santero

“…IntroductionBurnout remains a critical issue within the long-term care (LTC) sector, underscoring the urgent need for early detection and prevention strategies targeting the healthcare workforce. …”
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Comparative Analysis of Force-Sensitive Resistors and Triaxial Accelerometers for Sitting Posture Classification by Zhuofu Liu, Zihao Shu, Vincenzo Cascioli, Peter W. McCarthy

“…This study presents a posture detection system utilizing four force-sensitive resistors (FSRs) and two triaxial accelerometers selected after rigorous assessment for consistency and linearity. …”
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Automatic identification of hard and soft tissue landmarks in cone-beam computed tomography via deep learning with diversity datasets: a methodological study by Yan Jiang, Canyang Jiang, Bin Shi, You Wu, Shuli Xing, Hao Liang, Jianping Huang, Xiaohong Huang, Li Huang, Lisong Lin

“…To evaluate the accuracy of our algorithm, we determined the mean absolute error along the x-, y-, and z-axes and calculated the mean radial error (MRE) between the reference landmark and predicted landmark, as well as the successful detection rate (SDR). Results Each landmark prediction took approximately 4.2 s on a conventional graphics processing unit. …”
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Crowdsourcing geographic information for terrorism-related disaster awareness and mitigation: perspectives and challenges by Michaelmary Chukwu, Xiao Huang, Siqin Wang, Di Yang, Xinyue Ye

“…Despite the prevalence of natural language processing for data mining, the majority of studies did not incorporate ML algorithms in their analyses. …”
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Automated LoD-3 Reconstruction Using Oblique UAV Images by H. S. Kim, J. Carpenter, J. Jung

“…The proposed method integrates photogrammetry-based processing with deep learning-based window detection. …”
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PUBLIC PROCUREMENT IN BRAZIL: EVIDENCE OF FRAUDS USING THE NEWCOMB-BENFORD LAW by Adilson da Hora Sampaio, Paulo Soares Figueiredo, Elisabeth Loiola

“…This article uses the Newcomb-Benford(NB-Law), or Law of Anomalous Numbers, to analyze the values of Electronic Bidding Processes that occurred in the Purchasing Portal of the Brazilian Federal Government and contained in the newly created website “DadosAbertos.gov.br”. …”
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Constraints on Midmantle Discontinuities in Mars from Analysis of InSight Seismic Data by Cecilia Durán, Amir Khan, George Helffrich, Domenico Giardini

“…Through application of careful data selection criteria and processing schemes, we found 13 events in the distance range in which body waves are expected to refract through the midmantle of Mars. …”
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Infrared spectroscopy of pollen identifies plant species and genus as well as environmental conditions. by Boris Zimmermann, Achim Kohler

“…Furthermore, the methodology enables measurement of phenotypic plasticity by the detection of inter-annual variations within the populations. …”
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DIKWP-Driven Artificial Consciousness for IoT-Enabled Smart Healthcare Systems by Yucong Duan, Zhendong Guo

“…For evaluation, a smart healthcare scenario for early anomaly detection (e.g., arrhythmia and fever) was implemented using wearable devices with coordinated edge–cloud analytics. …”
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Enhancing distance protection in transmission grids with high penetration of renewable energy sources through cooperative protection by Sayed Mahdi Koloushani, Seyed Abbas Taher

“…Notably, the method does not require learning and training processes, making it adaptable to varying power system topologies without the need for extensive retraining or adaptation periods. …”
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Broad Instantaneous Bandwidth Microwave Spectrum Analyzer with a Microfabricated Atomic Vapor Cell by Yongqi Shi (石永麒), Thomas Ruster, Melvyn Ho, Sylvain Karlen, Jacques Haesler, Philipp Treutlein

“…In our proof-of-principle experiment, we demonstrate a microwave spectrum analyzer that has ≈1  GHz instantaneous bandwidth centered around 13 GHz, 3 MHz frequency resolution, 2 kHz refresh rate, and a -23  dBm single-tone microwave power detection limit in 1 s measurement time. A theoretical model is constructed to simulate the image signals by considering the processes of optical pumping, microwave interaction, diffusion of ^{87}Rb atoms, and laser absorption. …”
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Classification of Thyroid Class using ID3 Algorithm and Artificial Neural Network (ANN) by Nabila Henisaniyya, Citra Pertiwi, Anita Desiani, Ali Amran, Muhammad Arhami

“…This gland, located below the Adam’s apple, is responsible for coordinating various metabolic processes in the body, making its function essential. …”
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ANALYSIS OF RADIO SIGNAL PARAMETERS FOR EMISSION SOURCE IDENTIFICATION by D. V. Arkhipenkov

“…This algorithm can be used to search for a given type of signal, which allows to increase the strip analysis speed and the detection accuracy. To increase the detection accuracy, it is recommended to use a combination of two algorithms with additional digital signal processing, which should lead to an increase in the accuracy of type of signal determining and a more rapid determination of the radiation source parameters.…”
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Quantitative Imaging of Cell-Permeable Magnetic Resonance Contrast Agents Using X-Ray Fluorescence by Paul J. Endres, Keith W. MacRenaris, Stefan Vogt, Matthew J. Allen, Thomas J. Meade

“…The imaging modality that provided the best sensitivity and spatial resolution for direct detection of the contrast agents is synchrotron radiation x-ray fluorescence (SR-XRF). …”
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