Aerosol layer height (ALH) retrievals from oxygen absorption bands: intercomparison and validation among different satellite platforms, GEMS, EPIC, and TROPOMI by H. Kim, H. Kim, X. Chen, X. Chen, J. Wang, J. Wang, J. Wang, J. Wang, Z. Lu, Z. Lu, Z. Lu, M. Zhou, G. R. Carmichael, G. R. Carmichael, S. S. Park, J. Kim

“…We use the extinction-weighted aerosol optical centroid height (AOCH) derived from aerosol extinction profiles of Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) as the ground truth. …”
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UBICU: A Gamified Respiratory Incentive System for Pulmonary Re-Expansion by Jaime Aguilar-Zambrano, Esther C. Wilches-Luna, Helberg Asencio-Santofimio, Manuel Valencia, Diana Riveros, Andres Navarro, Juan Carlos Martinez, Eugenio Tamura, Jose Angel Loaiza, Julian Hernandez, Diana Sanchez, Juan David Garcia, Leonardo Arzayus-Patino, Valeria Perez-Hortua, Elizabeth Moncada, Melissa Ramirez

“…UBICU includes a flow measurement device, an app with a video game interface to motivate exercise performance, and cloud-based software for the remote prescription and evaluation of physiotherapy. …”
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Protocol for Home-Based Solution for Remote Atrial Fibrillation Screening to Prevent Recurrence Stroke (HUA-TUO AF Trial): a randomised controlled trial by Jing Tan, Yan Liang, Yong Liu, Wei Jiang, Duo Huang, Ning Tan, Chung-Wah Siu, Jo Jo Hai, Xiaoyu Huang, Jianfeng Ye, Ji-yan Chen, Chun Ka Wong, Mi Zhou, Li-Xue Yin, Ming-Liang Zuo, Kui Kai Lau, Zhen Lei, Yingqing Feng, Bryan P Yan, Wen-Sheng Yue, Wen-Jun Zhang, Yuk-Ming Lau, Hin-Wai LUI, Koon-Ho Chan, Toi Meng Mok, Weng-Chio Tam, Kun-Chong Tam, Xiuhua Feng, Xiaofei Jiang, Guanming Tan, Mario Alberto Evora

“…All remotely obtained data will be automatically transmitted in real-time through the study smartphone application to a secured cloud hosting and analysed using an artificial intelligence-based diagnostic system. …”
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MSH-YOLOv8: Mushroom Small Object Detection Method with Scale Reconstruction and Fusion by YE Dapeng, JING Jun, ZHANG Zhide, LI Huihuang, WU Haoyu, XIE Limin

“…Further application of this methodology on the Alibaba Cloud Tianchi databases "Tomato Detection" and "Apple Detection" yielded MSH-YOLOv8-t and MSH-YOLOv8-a models (collectively referred to as MSH-YOLOv8). …”
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Retrieving the atmospheric concentrations of carbon dioxide and methane from the European Copernicus CO2M satellite mission using artificial neural networks by M. Reuter, M. Hilker, S. Noël, A. Di Noia, M. Weimer, O. Schneising, M. Buchwitz, H. Bovensmann, J. P. Burrows, H. Bösch, R. Lang

“…The algorithm's postprocessing is designed to achieve a high data yield of about 80 % of all cloud-free soundings. The spatio-temporal systematic errors of XCO<span class="inline-formula">₂</span> and XCH<span class="inline-formula">₄</span> are 0.44 ppm and 2.45 ppb, respectively. …”
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Digital mental health treatment implementation playbook: successful practices from implementation experiences in American healthcare organizations by David C. Mohr, David C. Mohr, Alexandra L. Silverman, Alexandra L. Silverman, Soo Jeong Youn, Soo Jeong Youn, Soo Jeong Youn, Patricia Areán, Andrew Bertagnolli, Jenna Carl, Tarolyn Carlton, Neha Chaudhary, David Cooper, Shelly DeVito, Stephanie Eaneff, Megan Flom, Valerie L. Forman-Hoffman, Leanna Fortunato, Karen Franchino, Andrea K. Graham, Heidi Greenberger, Jessica Hauflaire, Benjamin Kaveladze, Rachel Kornfield, Kaylee P. Kruzan, Eric Kuhn, Eric Kuhn, Carolyn MacIver, Frederick Muench, Regina Misch, Adrian Ortega, Lisa Palko, Derek Richards, Derek Richards, Louisa Salhi, Jonathan Schremp, Eva Szigethy, Eva Szigethy, Nathan Tatro, Bethany A. Teachman, Bethany A. Teachman, Trina Histon

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True Mass and Atmospheric Composition of the Nontransiting Hot Jupiter HD 143105 b by Luke Finnerty, Yinzi Xin, Jerry W. Xuan, Julie Inglis, Michael P. Fitzgerald, Shubh Agrawal, Ashley Baker, Randall Bartos, Geoffrey A. Blake, Benjamin Calvin, Sylvain Cetre, Jacques-Robert Delorme, Greg Doppmann, Daniel Echeverri, Katelyn Horstman, Chih-Chun Hsu, Nemanja Jovanovic, Joshua Liberman, Ronald A. López, Emily C. Martin, Dimitri Mawet, Evan Morris, Jacklyn Pezzato-Rovner, Jean-Baptiste Ruffio, Ben Sappey, Tobias Schofield, Andrew Skemer, Taylor Venenciano, J. Kent Wallace, Nicole L. Wallack, Jason J. Wang, Ji Wang

“…Retrieval analysis indicates the atmosphere of HD 143105 b is cloud free to approximately 1 bar and dominated by H _2 O absorption ( ${\mathrm{logH}}_{2}{{\rm{O}}}_{\mathrm{MMR}}=-3.{9}_{-0.5}^{+0.8}$ ), placing only an upper limit on the CO abundance ( ${\mathrm{logCO}}_{\mathrm{MMR}}\lt -3.7$ at 95% confidence). …”
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Exploring the processes controlling secondary inorganic aerosol: evaluating the global GEOS-Chem simulation using a suite of aircraft campaigns by O. G. Norman, C. L. Heald, C. L. Heald, C. L. Heald, S. Bililign, P. Campuzano-Jost, H. Coe, H. Coe, M. N. Fiddler, J. R. Green, J. L. Jimenez, K. Kaiser, J. Liao, J. Liao, A. M. Middlebrook, B. A. Nault, B. A. Nault, B. A. Nault, J. B. Nowak, J. Schneider, A. Welti

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Field intercomparison of ice nucleation measurements: the Fifth International Workshop on Ice Nucleation Phase 3 (FIN-03) by P. J. DeMott, J. A. Mirrielees, J. A. Mirrielees, S. S. Petters, S. S. Petters, S. S. Petters, D. J. Cziczo, D. J. Cziczo, M. D. Petters, M. D. Petters, M. D. Petters, H. G. Bingemer, T. C. J. Hill, K. Froyd, K. Froyd, K. Froyd, S. Garimella, S. Garimella, A. G. Hallar, A. G. Hallar, E. J. T. Levin, E. J. T. Levin, I. B. McCubbin, I. B. McCubbin, A. E. Perring, A. E. Perring, A. E. Perring, C. N. Rapp, T. Schiebel, T. Schiebel, J. Schrod, K. J. Suski, K. J. Suski, D. Weber, D. Weber, M. J. Wolf, M. J. Wolf, M. Zawadowicz, M. Zawadowicz, J. Zenker, J. Zenker, O. Möhler, S. D. Brooks

“…Although the 5–10 factor agreement of INP measurements found in FIN-03 aligned with the results of the FIN-02 laboratory comparison phase, giving confidence in progress of this measurement field, this level of agreement still equates to temperature uncertainties of 3.5 to 5 °C that may not be sufficient for numerical cloud modeling applications that utilize INP information.…”
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Identifying and Evaluating the Components of Human Resource Competence in the Era of Digital Transformation by Mahdieh Abidi, Rashid Zolfaghari Zafarani, Masoud Haghighi

“…Digital transformation is a dramatic change in the performance of the organization and the country, centered on transformative technologies such as the Internet of Things, cloud computing, mobile applications, social media, virtual and augmented reality, data analytics, artificial intelligence, and blockchain (Westerman et al, 2014). …”
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Designing the strategic model of online banking relational marketing in the fourth industrial revolution with the foundation's data approach. by Aliasghar Atarodi, arezo ahmadi danyali, nader gharib nawaz

“…Mohammadi fateh et al, (2022) showed that the technologies of the fourth industrial revolution are big data, biological identification system, fraud detection technologies, contactless ATM, data mining, cloud computing, marketing, versatile channel, artificial intelligence, fintech, biometrics, blockchain, intelligent social networks, artificial neural networks, remote monitoring technologies, commercial Internet of Things, and digital account, respectively. …”
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New particle formation dynamics in the central Andes: contrasting urban and mountaintop environments by D. Aliaga, V. A. Sinclair, R. Krejci, R. Krejci, M. Andrade, M. Andrade, P. Artaxo, L. Blacutt, R. Cai, R. Cai, S. Carbone, Y. Gramlich, L. Heikkinen, L. Heikkinen, L. Heikkinen, D. Heslin-Rees, D. Heslin-Rees, W. Huang, W. Huang, V.-M. Kerminen, A. M. Koenig, A. M. Koenig, M. Kulmala, M. Kulmala, M. Kulmala, P. Laj, P. Laj, V. Mardoñez-Balderrama, V. Mardoñez-Balderrama, C. Mohr, C. Mohr, C. Mohr, I. Moreno, P. Paasonen, W. Scholz, K. Sellegri, L. Ticona, G. Uzu, F. Velarde, A. Wiedensohler, D. Worsnop, D. Worsnop, C. Wu, C. Wu, C. Wu, C. Xuemeng, Q. Zha, F. Bianchi

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A K-Dimensional Tree–Iterative Closest Point Algorithm for Overbreak and Underbreak Assessment of Mountain Tunnels by Zhao Han, Xiongyao Xie, Genji Tang, Peifeng Li, Shouren Li

“…Secondly, the as-designed 3D models are converted into point clouds and registered with the acquired as-built point clouds using the improved ICP algorithm with KD tree searching. …”
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LUOJIA Explorer PMS: Panoramic Odometry and Mapping with Structural Information by Y. Xu, Y. Xu, Y. Xu, C. Chen, C. Chen, C. Chen, B. Yang, B. Yang, B. Yang, L. Li, Z. Wang, Z. Wang, Z. Wang, S. Sun, S. Sun, S. Sun, Z. Yan, Z. Yan, Z. Yan, S. Wu, S. Wu, S. Wu

“…Existing methods face challenges like observing blind spots and the difficulty of edge feature extraction in point clouds with non-repetitive scanning LiDARs. This paper first uses a novel odometry and mapping system integrating two solid-state LiDARs and an IMU to obtain distortion-compensated point clouds and corresponding poses, which are utilized to generate submaps. …”
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Efficient Encoding and Decoding of Voxelized Models for Machine Learning-Based Applications by Damjan Strnad, Stefan Kohek, Borut Zalik, Libor Vasa, Andrej Nerat

“…Point clouds have become a popular training data for many practical applications of machine learning in the fields of environmental modeling and precision agriculture. …”
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Spatially-constrained Keypoint Matching for Efficient Statistical Shape Modelling by Harkämper Lena, Großbröhmer Christoph, Himstedt Marian

“…When using unstructured point clouds without explicitly defined landmarks, the matching of correspondences remains a challenge. …”
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Aerosol Particles Generated by Coughing and Sneezing of a SARS-CoV-2 (COVID-19) Host Travel over 30 m Distance by Boris Gorbunov

“…Modelling of the evolution of aerosol clouds generated by coughing and sneezing enables us to evaluate the deposition dose of aerosol particles in healthy individuals. …”
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Numerical analysis of ice accretion on an airfoil: A case study by Lucas Farabello, Ana Scarabino, Federico Bacchi

“…The simulation parameters were chosen based on meteorological reports of that day and the type of clouds that were present at the time of the accident. …”
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Applying models of scientific terms' surroundings in classification of scientific publications by Vaidas Balys, Rimantas Rudzkis

“…Models of scientific terms surroundings – so called identification clouds – are presented as well as results of experiments of their applicability for keywords detection. …”
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Using airborne LiDAR and enhanced-geolocated GEDI metrics to map structural traits over a Mediterranean forestZenodo by Aaron Cardenas-Martinez, Adrian Pascual, Emilia Guisado-Pintado, Victor Rodriguez-Galiano

“…We used two sources of 3D-structural metrics, LiDAR point clouds and full-waveform space-borne LiDAR from GEDI to estimate forest structure in a protected area of Southern Spain, home of relict species in jeopardy due to recent extreme water-stress conditions. …”
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