Pavement Management Utilizing Mobile Crowd Sensing by Boquan Tian, Yongbo Yuan, Hengyu Zhou, Zhen Yang

“…Benefiting from the development of mobile communication, mobile computing, and mobile sensing techniques, the intelligence of mobile crowd sensing (MCS), which mainly relies on ubiquitous mobile smart devices in people’s daily lives, has overcome the above drawbacks to a large extent as one new effective and simple measure for pavement management. …”
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Ensemble modeling of the climate-energy nexus for renewable energy generation across multiple US states by Joy Adul, Rohini Kumar, Renee Obringer

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Immunoinformatic strategy for developing multi-epitope subunit vaccine against Helicobacter pylori. by Md Nahian, Md Rasel Khan, Fabiha Rahman, Hossain Mohammed Reza, Imren Bayil, Tanjum Ahmed Nodee, Tabassum Basher, Mostafizur Rahaman Sany, Rabeya Najnin Munmun, S M Ariful Habib, Lincon Mazumder, Mrityunjoy Acharjee

“…The extremophilic characteristics of this bacterium make it resistant to current drug treatments, and there are no licensed vaccines available against H. pylori. Computational approaches offer a viable alternative for designing antigenic, stable, and safe vaccines to control infections caused by this pathogen. …”
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Olfactory transport efficiency of the amorphous and crystalline manganese oxide nanoparticles by A. V. Romashchenko, D. V. Petrovskii, M. B.  Sharapova, Y. M. Moshkin, K. E. Kuper, K. N.  Morozova, E. V. Kiseleva, M. P. Moshkin

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EM Database v1.0: A benchmark informatics platform for data-driven discovery of energetic materials by Xin Huang, Wen Qian, Jian Liu, Jun-hong Zhou, Chao-yang Zhang

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An Open-Source Algorithm for Correcting Stress Wave Dispersion in Split-Hopkinson Pressure Bar Experiments by Arthur Van Lerberghe, Kin Shing O. Li, Andrew D. Barr, Sam D. Clarke

“…To do this, an innovative computational algorithm, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="monospace">SHPB</mi><mtext>_</mtext><mi mathvariant="monospace">Processing</mi><mo>.…”
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ESTABLISHING THE KEY ELEMENTS OF INCORPORATION AND OUTCOMES OF 4TH INDUSTRIAL REVOLUTION IN BUILT ENVIRONMENT EDUCATION: A MIXED BIBLIOGRAPHIC AND BIBLIOMETRIC ANALYSIS by Alireza MOGHAYEDI, Karen Le Jeune, Mark Massyn, Christiana Ekpo

“…Digital technologies, Virtual reality and cloud computing are the most significant education tools and technology elements. …”
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THE ACCEPTANCE OF AN EDUCATIONAL INTEGRATED DEVELOPMENT ENVIRONMENT TO LEARN PROGRAMMING FUNDAMENTALS by Nor Farahwahida Mohd Noor, Aslina Saad, Abu Bakar Ibrahim, Norashady Mohd Noor

“…For the problem-solving environment, the Computational Thinking (CT) concepts were applied which were supported by the Input-Process-Output (IPO) Model through Scientific Instructions and Inquiries. …”
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High-Resolution Safety Verification for Evasive Obstacle Avoidance in Autonomous Vehicles by Aliasghar Arab, Milad Khaleghi, Alireza Partovi, Alireza Abbaspour, Chaitanya Shinde, Yashar Mousavi, Vahid Azimi, Ali Karimmoddini

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Design of an Inhalation Chamber and Metrology Assessment to Study Tungsten Aerosol Neurotoxic Effects by Léo Macé, Chrystelle Ibanez, Thomas Gelain, Cécile Bodiot, Laure Juhel, François Gensdarmes

“…Overall, the results from the DLPI, the APS, and the EEPS showed very good agreement. Computational fluid dynamics (CFD) simulations of the airflows and aerosol dispersion in the inhalation chamber verified that the test aerosol was homogeneous and representative.…”
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Protocol for assessing and visualizing cell microaggregate formation in whole blood by imaging flow cytometry by Johannes Krell, Komal Kumar Javarappa, Angie Wenedy, Andrew L. Frelinger, III, Laurent Renia, Clarissa Prazeres da Costa, Martin Schlegel, Percy Knolle, Gerhard Schneider, Oliver Hayden

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Transforming precision medicine: The potential of the clinical artificial intelligent single‐cell framework by Christian Baumgartner, Dagmar Brislinger

“…Challenges in Data Coverage and Model Robustness: caiSC currently faces limitations due to incomplete data across cell types, diseases, and organs, as well as challenges in data quality and high computational demands, which affect model accuracy and clinical applicability. …”
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Improvement of photogrammetric joint roughness coefficient value by integrating automatic shooting parameter selection and composite error model by Qinzheng Yang, Ang Li, Feng Dai, Zhen Cui, Hongtian Wang

“…Then, by combining the theory of point cloud coordinate computation error with the equation of JRC calculation, a composite error model controlled by the shooting parameters was proposed. …”
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The Effects of Ankle Joint Position on Deep Peroneal Nerve Latencies by Mohamed Hussein El-Gendy, Mahmoud Salah Abd El-Fattah, Mohamed Magdy El Meligie, Efrem Kentiba, Yasser Ramzy Lasheen

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The market of full-cycle construction companies: analysis of the current state and key trends by Yu. A. Laamarti, E. G. Dedov, A. A. Nikolaev

“…Key trends governing the development of the market of full-cycle construction companies were identified by means of secondary data processing and computing the average annual growth rate. The main factors determining the current state of the market of full-cycle construction companies were systematized. …”
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Discrimination of high impedance fault in microgrid power network using semi-supervised machine learning algorithm by Arangarajan Vinayagam, S.T. Suganthi, C.B. Venkatramanan, Ayoob Alateeq, Abdullah Alassaf, Nur Fadilah Ab Aziz, Mohd Helmi Mansor, Saad Mekhilef

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A Study of Lithosphere–Ionosphere Seismic Precursors from Detecting Gamma-Ray and Total Electron Content Anomalies Prior to the 2018 M_L6.2 Hualien Earthquake in Eastern... by Ching-Chou Fu, Hau-Kun Jhuang, Yi-Ying Ho, Tsung-Che Tsai, Lou-Chuang Lee, Cheng-Horng Lin, Ching-Ren Lin, Vivek Walia, I-Te Lee

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Seasonal Tree Height Dynamic Estimation Using Multi-source Remotely Sensed Data in Shenzhen by Hang Song, Xuemei Zhang, Ting Hu, Jinglei Liu, Bing Xu

“…It was found that (a) the seasonal tree height neural network demonstrated the highest prediction accuracy in tree height estimation (R2 = 0.72, mean absolute error = 1.89 m), and the optimization process of Shapley additive explanations reduced 23 features, which improved the prediction accuracy (R2 = 0.80, mean absolute error = 1.58 m) and saved computational resources; (b) the seasonal tree height neural network has a strong generalizability for estimating tree height across seasons and regions; and (c) during 2018 to 2023, tree heights in Shenzhen were mainly concentrated in 6 to 14 m, and the spatial distribution has a strong autocorrelation. …”
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Physicochemical and Sensory Properties of Wine Produced from Blended Cactus Pear (Opuntia ficus-indica) and Lantana camara (L. camara) Fruits by Zenebe Tadesse Tsegay, Kidu Mezgebe Gebremedhin

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Discrete Element Study of Particle Size Distribution Shape Governing Critical State Behavior of Granular Material by Mingdong Jiang, Daniel Barreto, Zhi Ding, Kaifang Yang

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