1D thermoembolization model using CT imaging data for porcine liver by Rohan Amare, Danielle Stolley, Steve Parrish, Megan Jacobsen, Rick R. Layman, Chimamanda Santos, Beatrice Riviere, Natalie Fowlkes, David Fuentes, Erik Cressman

“…The 1D flow model was used on imaging data of in-vivo embolization imaging data of three pigs. …”
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Joint Channel and Data Estimation via Parametric Bilinear Inference for OTFS Demodulation by Kenta Ito, Takumi Takahashi, Kengo Furuta, Shinsuke Ibi, Giuseppe Thadeu Freitas de Abreu

“…In doubly-selective fading channels, since the Doppler shift breaks the orthogonality between subcarriers, the signal demodulation process requires estimating the path gains and data symbols from the high-dimensional signals that are multiplexed in the frequency-time (FT) domain. …”
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Intelligent Troubleshooting of Vertical Bandsaws, Leveraging Ensemble Learning on Low-Level Data by Wisal Muhammad, Haseeb Khan, Tariq Kamal, Dahoon Ahn, Ki-Yong Oh

“…The sampling rate is 5 Hz, 2) applying various state-of-the-art machine learning algorithms to the data. …”
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Data mining approach in detecting inaccurate financial statements in government-owned enterprises by Amra Gadžo, Mirza Suljić, Adisa Jusufović, Slađana Filipović, Erna Suljić

“…The study aims to assess the capability of various data mining techniques in detecting inaccurate financial statements of government-owned enterprises operating in the Federation of Bosnia and Herzegovina (FBiH). …”
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Data-Driven Digital Twin Framework for Predictive Maintenance of Smart Manufacturing Systems by Tarana Khan, Urfi Khan, Adnan Khan, Calahan Mollan, Inga Morkvenaite-Vilkonciene, Vijitashwa Pandey

“…A Digital twin (DT) enables the acquisition and subsequent analysis of large amounts of process data. Various machine learning (ML) algorithms exist for analysis and prediction that can be used in this scenario. …”
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A Predictive Method for Unplanned Postoperative Readmission Risk Based on Heterogeneous Data by Kai YU, Xiaofeng DONG, Zhenming YUAN, Zhaojian CUI, Weibin LUO

“…To further enhance the fused representation, a CNN model is used to convolve the fused representation, amplifying important features. However, this process may result in the loss of intra-modal information due to the abandonment of single-modal representation dimension expansion before computing the tensor product of heterogeneous data representation matrices. …”
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RNA-seq data of pig placenta and endometrium during late gestationFAANG by Sarah Maman-Haddad, Laure Gress, Amandine Suin, Nathalie Vialaneix, Agnès Bonnet

“…The average mapping rate was 91 % and 86 % for endometrial and placental samples, respectively. …”
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Estimation of the drift velocity of Equatorial Plasma Bubbles using GNSS and digisonde data by Navas-Portella Víctor, Altadill David, Blanch Estefania, Altadill Mar, Segarra Antoni, de Paula Víctor, Timoté Cristhian Camilo, Juan José Miguel

“…The enhancements introduced in this version significantly improve the EPB detection process, achieving a notable reduction in the false positive rate compared to the previous approach. …”
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Application of Monod Equation and First-Order Rate Kinetics for the Calculation of Crude Oil Concentration Along Depths of Stagnant Freshwater and Saltwater Media by Ozioko Fabian Chidiebere, Okolotu Godspower Ikechukwu, Wisdom Chukwuemeke Ulakpa, Shankar Karuppannan

“…The diffusion model utilizing first-order rate kinetics demonstrated a superior fit to the experimental data compared to the alternative employing the Monod equation, suggesting that the Monod equation may not be the most appropriate rate parameter for the diffusion model. …”
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Forecasting annual incidence and mortality rate for prostate cancer in Australia until 2022 using autoregressive integrated moving average (ARIMA) models by Sue M Evans, Arul Earnest, Fanny Sampurno, Jeremy Millar

“…We also assessed the model for external validity. A similar process was used to model age-standardised incidence and mortality rate for prostate cancer in Australia during the same time period.Results The annual number of prostate cancer cases diagnosed in Australia increased from 3606 in 1982 to 20 065 in 2012. …”
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INFLATION FORECASTS IN AMBON USING NEURAL NETWORK APPLICATIONS BACKPROPAGATION by Mozart W Talakua, Venn Yan Ishak Ilwaru, Berny P Tomasouw, Syella Z Limba

“…In this study, the Artificial Neural Network is used to predict the inflation rate using the Backpropagation method. The data used in this study is 144 data, with 100 data as training data and 44 data as test data taken from the Central Statistics Agency of Maluku Province from 2008-2019. …”
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Streptococcus pyogenes carriage rate, associated factors and antimicrobial susceptibility profiles among urban and rural schoolchildren at Gondar city, Northwest Ethiopia by Yalewayker Gashaw, Alem Getaneh, Desie Kasew, Mitkie Tigabie, Baye Gelaw

“…Sociodemographic and clinical data were collected via a pretested structured questionnaire. …”
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The influence of intergenerational relationships on depressive symptoms in elderly patients with multiple chronic conditions: the mediating roles of self-rated health and well-bein... by Wenjia Feng, Pengxin Geng, Huaiju Ge, Qianqian Gao, Weiqin Cai, Qi Jing, Runguo Gao, Anning Ma

“…Data on intergenerational relationships, self-rated health, well-being, and depressive symptoms were also obtained. …”
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New method for landslide susceptibility evaluation in alpine valley regions that considers the suitability of InSAR monitoring and introduces deformation rate grading by Dingyi Zhou, Zhifang Zhao, Wenfei Xi, Xin Zhao, Jiangqin Chao

“…Incorporating Interferometric Synthetic Aperture Radar (InSAR) data sources into the landslide susceptibility evaluation process has yielded favorable outcomes in some studies. …”
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Characteristics of the Epidemiological Situation in Patients with Tuberculosis of Various Age Groups Based on the Numerical Criteria of Selective Rating with the Help of the Comput... by Ilnуtskуy G.

“…In Ukraine, the average rate of tuberculosis in adolescents (31.7 ± 1.9) exceeded this rate in children (9.1 ± 0.7). …”
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An Approach To Study The Effects of GBP/USD Exchange Rate and Gold Prices on Brent Oil Prices Using Autoregressive Distributed Lag (ARDL) by Shaho Muhammad Wstabdullah, Muhammed Ali Kamal, Hozan Khalid Hamarashid

“…Being based on one equation framework is a benefit of using the ARDL model, in order to take sufficient lags’ number and directing process data generation process in a modelling framework that goes from general to specific. …”
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Temporal beta diversity and community concordance in freshwater fish and benthic macroinvertebrates on a national scale: Does biodiversity change at the same rate? by Mi-Jung Bae, Eui-Jin Kim

“…Temporal beta diversity for both fish and macroinvertebrate generally increased across all basins, suggesting continuous changes in their community composition over time. However, the rate and extent of these changes varied substantially among the basins. …”
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To the analysis of methods and mechanisms of predictive modeling of onboard equipment reliability when solving problems of aircraft maintenance workload planning by B. I. Ogunvoul, V. D. Budaev, D. O. Sizikov, N. V. Gorbakon, A. V. Vlasova

“…In the course of the research, a mathematical model for forecasting the failure rate of onboard equipment is developed and tested, designed to solve the problems of optimizing decision-making processes for maintenance on the basis of reliability assessment of aviation equipment. …”
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Success rate of endodontic treatment and quality of life of patients treated at a higher education institution: a decade-long retrospective study by Luiz Renato Paranhos, Narjara Gleydiely Costa de Araújo, Natália D'avila Rodrigues Pereira, Marcelo Antônio de Souza Silva, Yago Warles Silva Pereira, Maíra Ramalho Martins, Rui Barbosa de Brito Junior, Felipe de Souza Matos

“… Endodontic treatment aims to prevent or treat inflammatory and infectious processes involving the pulp and periradicular tissues. …”
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Development and Application of a New Convective Entrainment Rate Parameterization for Improving Precipitation Simulation Over the Tibetan Plateau and Its Surrounding Areas by Junjun Li, Chunsong Lu, Jinghua Chen, Jian Li, Jing Yang, Xiaoqi Xu, Lei Zhu, Xin He, Shiying Wu

“…The overestimation and distribution biases of precipitation in models are closely related to the parameterization of convection processes over the TP. In light of this, a new deep convective entrainment rate parameterization suitable for the region is developed based on convection observational data and is applied to the Grell‐Freitas Ensemble Scheme of the Weather Research and Forecasting Model. …”
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