Generalisation of EEG-Based Pain Biomarker Classification for Predicting Central Neuropathic Pain in Subacute Spinal Cord Injury by Keri Anderson, Sebastian Stein, Ho Suen, Mariel Purcell, Maurizio Belci, Euan McCaughey, Ronali McLean, Aye Khine, Aleksandra Vuckovic

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Brand Awareness and Competitive Advantage among Beer Products in Kabale District, South Western Uganda by Moses, Agaba, Eliab Mpora, Byamukama, Eton, Marus

“…The descriptive analysis involving computing the mean, standard deviation, skewness, and kurtosis of the brand equity and competitive advantage variables, the inferential analysis was conducted using multiple regression analysis and the t-statistic and the p-value were adopted to test the hypotheses of the study. …”
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Brand Awareness and Competitive Advantage among Beer Products in Kabale District, South Western Uganda by Moses, Agaba, Eliab Mpora, Byamukama, Eton, Marus

“…The descriptive analysis involving computing the mean, standard deviation, skewness, and kurtosis of the brand equity and competitive advantage variables, the inferential analysis was conducted using multiple regression analysis and the t-statistic and the p-value were adopted to test the hypotheses of the study. …”
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Dataset of microscale atmospheric flow and pollutant concentration large-eddy simulations for varying mesoscale meteorological forcing in an idealized urban environmentZenodo by Eliott Lumet, Thomas Jaravel, Mélanie C. Rochoux

“…However, CFD models are very expensive and require intensive computing resources, which can hinder their systematic use in practical engineering applications. …”
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Generalizing the Brady-Yong Algorithm: Efficient Fast Hough Transform for Arbitrary Image Sizes by Danil D. Kazimirov, Ekaterina O. Rybakova, Vitalii V. Gulevskii, Arseniy P. Terekhin, Elena E. Limonova, Dmitry P. Nikolaev

“…The Hough (discrete Radon) transform (HT/DRT) is a digital image processing tool that has become indispensable in many application areas, ranging from general image processing to neural networks and X-ray computed tomography. The utilization of the HT in applied problems demands its computational efficiency and increased accuracy. …”
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Assessment of Impact of Meteorology and Precursor in Long-term Trends of PM and Ozone in a Tropical City by Christian Mark G. Salvador, Angeles D. Alindajao, Karen B. Burdeos, Mark Anthony M. Lavapiez, Jhon Robin Yee, Angel T. Bautista, Preciosa Corazon B. Pabroa, Rey Y. Capangpangan

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Qualitative evaluation of the implementation and national roll-out of the NHS App in England by Claire Reidy, Chrysanthi Papoutsi, Sukriti KC, Bernard Gudgin, Anthony A. Laverty, Felix Greaves, John Powell

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Metabolomics Biomarkers in Prediction of Sudden Infant Death Syndrome: The Role of Short Chain Fatty Acids by Maria Aslam, Omer Riaz, Jawaria Aslam, Dost Muhammad Khan, Mustafa Hameed, Muhammad Suleman, Rizwan Shahid, Turke Althobaiti, Naeem Ramzan

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Cross-border mangrove dynamics and management in the Beibu Gulf: Long-term remote sensing observation using object-oriented deep learning by Wenna Gao, Chunyan Lu, Nuocheng Yang, Yuqi Wu, Kexin Wu, Zhangjuan Chen

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Design and Analysis of Floater Structures using Composite Material in 19 Seaters Aircraft by Andi Muhdiar Kadir, Arief Setyawan, Fithri Nur Purnamasari, Nurhadi Pramana, Muhammad, Ilham Akbar Adi Satriya, Riza Wirawan, Budi Sampurno

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Parental Technoference and Child Problematic Media Use: Meta-Analysis by Jinghui Zhang, Qing Zhang, Bowen Xiao, Yuxuan Cao, Yu Chen, Yan Li

“…A random-effects meta-analysis was performed using R (version 4.2.1; R Foundation for Statistical Computing) with the meta and metafor packages to evaluate the association and conduct moderator analyses. …”
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Laryngeal cancer diagnosis based on improved YOLOv8 algorithm by Xin Nie, Xueyan Zhang, Di Wang, Yuankun Liu, Lumin Xing, Wenjian Liu

“…Additionally, a tiny fully convolutional network architecture has been employed, reducing the number of model parameters and computational costs while maintaining or enhancing performance, which is crucial for real-time medical imaging analysis. …”
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Fast Skyline Community Search in Multi-Valued Networks by Dongxiao Yu, Lifang Zhang, Qi Luo, Xiuzhen Cheng, Jiguo Yu, Zhipeng Cai

“…However, the algorithms proposed on skyline community search can only work in the special case that the nodes have different values on each attribute, and the computation complexity degrades exponentially as the number of attributes increases. …”
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A Framework for Analyzing Absorptive Capacity Using Social Network Analysis (Case Study: Sharif University Innovation Ecosystem) by Mahdi Mohammadi, Mahdi Elyasi, Azadeh Savehshemshaki

“…Conclusion The absorption capacity model has been identified by extracting the role of each technology field from within and outside the cluster utilizing the social network analysis method by computing the degree of knowledge input, output, and intermediateness. …”
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Sistem Deteksi Myocardial Infarction Berdasarkan Pathological Q Waves Dan ST Segment Elevation Menggunakan Metode Support Vector Machine by Ragil Hadi Prasetyo, Edita Rosana Widasari, Agung Setia Budi

“…The classification used is the Support Vector Machine which gets an accuracy of 83.30% with an average computing time of 31.20ms. …”
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Transcriptomic analysis of Andrias davidianus meat and experimental validation for exploring its bioactive components as functional foods by Changge Guan, Zhenglin Tan, Shucheng Li, Yi Wang, Naoyuki Yamamoto, Chong Zhang, Songjun Wang, Junjie Chen, Xin-Hui Xing

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Super-twisting sliding mode control of grid-side inverters for wind power generation systems with parameter perturbation by Weiqi Zhang, Yanmin Wang, Muhammad Zeeshan, Fengling Han, Kai Song

“…Further, the predictable control gain and time-varying control gain in three STSMC controllers are designed to minimize control system energy expenditure caused by over-regulation and prevent excessive computation of uncertainty boundaries following system disturbances. …”
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Assessment of Problem-Based Learning Acceptance and Associated Factors Among School of Nursing Students at Wachemo University, Central Ethiopia by Asnakech Zekiwos Heliso MSc, Getachaw Ossabo Babore MSc, Taye Mezgebu Ashine MSc, Bethlehem Birhanu MSc, Bereket Hegeno Anose MSc, Sentayehu Admasu Saliya MSc, Elias Ezo Ereta MSc, Awoka Girma Hailu MSc

“…Being female, study year and Computer access in the learning environment were factors associated with PBL.…”
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Analisis Efek Augmentasi Dataset dan Fine Tune pada Algoritma Pre-Trained Convolutional Neural Network (CNN) by Theopilus Bayu Sasongko, Haryoko Haryoko, Agit Amrullah

“…The MobileNet architecture was coined in 2017 by Howards, et al, which is one of the convolutional neural networks (CNN) architectures that can be used to overcome the need for excessive computing resources. This study aims to measure the effect of fine tune and dataset augmentation techniques on CNN mobilenet, efficientnet, and nasnetmobile transfer learning models with very small datasets. …”
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Pyrolysis-catalytic gasification of plastic waste for hydrogen-rich syngas production with hybrid-functional Ni-CaOCa2SiO4 catalyst by Tian Heng Qin, Guozhao Ji, Boyu Qu, Alan J McCue, Shaoliang Guan, Jos Derksen, Ye Shui Zhang

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