Investigation of silica crystallization kinetics in rice husk ash for sustainable construction materials by Abbas Muhammad Aun, Hoe Kwan Wai, Bin Samsudin Muhammad Hasnolhadi

“…Subsequently, the ash was examined using various analytical and computational techniques to develop an in-depth understanding of the burning process, aimed at producing functionalized amorphous silica for sustainable construction. …”
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Predecting power transformer health index and life expectation based on digital twins and multitask LSTM-GRU model by Nora El-Rashidy, Yara A. Sultan, Zainab H. Ali

“…To this end, this study introduces a proposed new architecture called a Smart Electricity Monitoring System based on Fog Computing and Digital Twins (SEMS-FDT) for monitoring the health performance of transformers by measuring the THI rate in real time. …”
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Decreased impulsiveness and MEG normalization after AI-digital therapy in ADHD children: a RCT by Danylyna Shpakivska Bilan, Irene Alice Chicchi Giglioli, Pablo Cuesta, Elena Cañadas, Ignacio de Ramón, Fernando Maestú, Jose Alda, Josep Antoni Ramos-Quiroga, Jorge A. Herrera, Alfonso Amado, Javier Quintero

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Modeling Behaviors for a New Compliant Mechanism by Recursive Hierarchy of Random Forest Models by Hieu Giang Le, Thanh-Phong Dao, Minh Phung Dang, Thao Nguyen-Trang

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Enhanced streamflow forecasting using hybrid modelling integrating glacio-hydrological outputs, deep learning and wavelet transformation by Jamal Hassan Ougahi, John S Rowan

“…This study provides an AI-enabled hybrid approach integrating glacio-hydrological model outputs (GSM-SOCONT), with different machine learning and deep learning techniques framed as alternative ‘computational scenarios, leveraging both physical processes and data-driven insights for enhanced predictive capabilities. …”
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Extracting chemical food safety hazards from the scientific literature automatically using large language models by Neris Özen, Wenjuan Mu, Esther D. van Asselt, Leonieke M. van den Bulk

“…The large language model was used out-of-the-box and applied on scientific abstracts; no extra training of the models or a large computing cluster was required. Three different styles of prompting the model were tested to assess which was the most optimal for the task at hand. …”
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Effects of Retrofit Strategies on Thermal Comfort and Energy Performance in Social Housing for Current and Future Weather Scenarios by Lucienne G. Basaly, Arman Hashemi, Heba Elsharkawy, Darryl Newport, Nancy Mahmoud Badawy

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Robust Optimization of Planar Constrained Mechanical System with Varying Joint Clearance Size Based on Sensitivity Analysis by Yong Gao, Fang Zhang, Yuanyuan Li

“…Additionally, in order to balance computational accuracy and efficiency in the multiobjective robust optimization process, high-precision Kriging agent models are established. …”
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Study of miRNA Based Gene Regulation, Involved in Solid Cancer, by the Assistance of Argonaute Protein by Surya Narayan Rath, Debasrita Das, V Badireenath Konkimalla, Sukanta Kumar Pradhan

“…Furthermore, interaction between AGO protein (PDB ID-3F73, chain A) with selected miRNAs and with miRNAs-mRNAs duplex were studied computationally to understand their binding at molecular level. …”
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Multi-authority attribute hidden for electronic medical record sharing scheme based on blockchain by Lin JIN, Youliang TIAN

“…Currently, there is no data exchanging and sharing between different hospitals, and it is easy to form data islands.At the same time, regional medical data contains a large amount of sensitive information of patients.The public acquisition, sharing and circulation of these data will lead to malicious tampering, theft, abuse and loss of ownership, thereby revealing patient privacy.In addition, the size of medical data is enormous and the data is unstructured, then it is more difficult to prevent and hold accountable some highly targeted malicious attacks, such as malicious attacks on medical data theft, tampering, and extortion.In view of the above problems, a blockchain-based on multi-authority attribute hidden electronic medical record sharing scheme was proposed to achieve fine-grained access to shared electronic medical records while ensuring patient privacy.The Multi-Authorization Attribute Encryption (MA-ABE) algorithm was introduced, which used multi-authority organizations to manage decentralized attributes.It also used hash functions to identify different users, in order to effectively resist collusion attacks between users with different authorizations.Besides, the linear secrets sharing scheme (LSSS) was used to realize partial hiding of attributes, and the attributes were divided into two parts:attribute name and attribute value.In addition, combined with the characteristics of blockchain openness, transparency and tamper-proof, the design of access policy can update the algorithm.Based on the access policy update algorithm, the policy block was added.The new access policy was uploaded to the blockchain to form a policy update traceability chain, which can realize distributed and reliable access control management under the condition of hidden policy.It can also support data privacy protection at the same time, and traceability of user behavior.The theoretical proof and experimental analysis have proved that this scheme protect attribute privacy effectively, while reduces computational overhead.…”
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A Comparative Study of Impeller Modification Techniques on the Performance of the Pump as a Turbine by Abdulbasit Nasir, Edessa Dribssa, Misrak Girma, Tamerat Demeke

“…In this paper, the performance of the PAT is analyzed using the computational fluid dynamics (CFD) software called Ansys CFX in conjunction with standard k-ε. …”
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Macroscopic Modeling of On-Street and Garage Parking: Impact on Traffic Performance by Manuel Jakob, Monica Menendez

“…This leads to data collection savings and a reduction in computational costs compared to most of the existing parking/traffic models. …”
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A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled System by Guijun Han, Xinrong Wu, Shaoqing Zhang, Zhengyu Liu, Ionel Michael Navon, Wei Li

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Exhaled Jet and Viral-Laden Aerosol Transport from Nasal Sneezing by Hana Salati, David F. Fletcher, Mehrdad Khamooshi, Jingliang Dong, Kazuhide Ito, Sara Vahaji, Kiao Inthavong

“…Nasal sneezing is characterised by an explosive blast of air exiting the nostrils, which can be considered as dual jets, resulting in the spread of viral-laden aerosols remaining suspended in the air. This study used computational fluid dynamics consisting of a hybrid RANS-LES turbulence method to model the airflow and the discrete phase model to track aerosol dispersion during nasal sneezing. …”
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Global‐Scale Ionospheric Tomography During the March 17, 2015 Geomagnetic Storm by F. S. Prol, T. Kodikara, M. M. Hoque, C. Borries

“…Given the demonstrated quality, this global electron density reconstruction has potential for improving applications such as assessment of the effects of the electron density on radio signals, GNSS positioning, computation of ray tracing for radio‐signal transmission, and space weather monitoring.…”
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A Measurement Scale for School Leadership Professional Development Needs for the Fourth Industrial Revolution by Omotayo A. Awodiji, Suraiya R. Naicker

“…Using Ordinal, Omega, and Guttmann Alpha approaches, statistical computing was done using R software (R Core Team, 2020) to determine the underlying factors of the scale items using exploratory factor analysis (EFA). …”
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Drug utilization study of mood stabilizers and antipsychotics drugs among bipolar disorder patients by Lolita Lolita, Johan Ika Meiliana

“…This study employed two methods to analyse the data: calculating the percentage of rational prescriptions and computing based on the defined daily dose (DDD) per 1000 patient days. …”
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Joint Analysis of Morphological Parameters and In Silico Haemodynamics of the Left Atrial Appendage for Thrombogenic Risk Assessment by Maria Isabel Pons, Jordi Mill, Alvaro Fernandez-Quilez, Andy L. Olivares, Etelvino Silva, Tom de Potter, Oscar Camara

“…Statistical analysis, regression models, and random forests were used to analyse the differences between morphological and haemodynamics parameters, extracted from computational simulations built on 3D rotational angiography images, between patients with and without transient ischemic attack (TIA) or cerebrovascular accident (CVA). …”
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An insulator target detection algorithm based on improved YOLOv5 by Bing Zeng, Zhihao Zhou, Yu Zhou, Dilin He, Zhanpeng Liao, Zihan Jin, Yulu Zhou, Kexin Yi, Yunmin Xie, Wenhua Zhang

“…Experimental results demonstrate that the improved YOLOv5 model achieves a mean Average Precision (mAP) precision of 95.60%, with a parameter count of 18.36 M and a computational load of 30.10G, respectively. The Precision (P) and Recall (R) are 88.10% and 95.20%, providing strong support for deployment on mobile devices for real-time detection.…”
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Enhancing safety in surface mine blasting operations with IoT based ground vibration monitoring and prediction system integrated with machine learning by Mangalpady Aruna, Harsha Vardhan, Abhishek Kumar Tripathi, Satyajeet Parida, N. V. Raja Sekhar Reddy, Krishna Moorthy Sivalingam, Li Yingqiu, P. V. Elumalai

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