Importance Sampling for Cost-Optimized Estimation of Burn Probability Maps in Wildfire Monte Carlo Simulations by Valentin Waeselynck, David Saah

“…Conclusions: These findings contribute quantitative methods for optimizing the precision/computation ratio of wildfire Monte Carlo simulations without biasing the results, offer a principled conceptual framework for justifying and reasoning about other computational shortcuts, and can be readily generalized to a broader spectrum of simulation-based risk modeling.…”
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Developing Pattern of Educational for Graduate Students of Accounting in the Knowledge and Skills Required in Qualitative and Quantitative Research with the Phenomenological Approa... by Akram Taftiyan, Fatemeh Mansuri mohammad abadi, Nasrin Alraji

“…Considering the importance of knowledge and skills of quantitative and qualitative research; The present study deals with the formulation of the educational model of accounting graduate students in the knowledge and skills required in quantitative-qualitative research. …”
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A quantitative analysis of two-dimensional manually segmented transrectal ultrasound axial images in planning high dose rate brachytherapy for prostate cancer by Dabić-Stanković Kata, Rajković Katarina, Aćimović Miodrag, Milošević Nebojša, Stanković Jovan

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Modeling the Impact of Between-lot and Within-lot Variability in Listeria monocytogenes Contamination on Risk Reduction From Sampling Ready-to-eat Foods by Yuhuan Chen, Régis Pouillot, Jane M. Van Doren

“…Data and model inputs included the prevalence and levels of L. monocytogenes, sampling plan parameters, and operating characteristic curve data. …”
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Minimum uncertainty as Bayesian network model selection principle by Grigoriy Gogoshin, Andrei S. Rodin

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Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning by Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, Punit Fulzele

“…To mitigate data imbalance, a random sampling technique is applied, ensuring a balanced representation of Alzheimer’s and healthy cases. …”
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Identification of novel biomarkers and prognostic model for neuroblastoma using Mendelian randomization and transcriptomic analysis by Yongcheng Fu, Nan Zhang, Jian Cheng, Xiaohan Qin, Xing Zhou, Xiaoran Du, Yuanyuan Wang, Jingyue Wang, Da Zhang

“…We used chip expression data from the GEO database to screen for differentially expressed genes (DEGs) and conducted two-sample MR analysis using expression quantitative trait loci (eQTL) and neuroblastoma data from the IEU database to identify co-expressed genes through colocalization. …”
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Children’s emerging concepts of resilience: insights from using body mapping in an East London cohort sample of 7-10-year-old children by Aisling Murray, Dominie Mahala Smith Scott, Milena Nikolajeva, Daniele Porricelli, Francois van Loggerenberg, Dennis Ougrin, Jennifer Y. F. Lau

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The impact of sample retention and further analysis on doping behavior and detection: evidence from agent-based simulations by Daniel Westmattelmann, Marius Sprenger, Julian Lanfer, Benedikt Stoffers, Andrea Petróczi, Andrea Petróczi, Andrea Petróczi

“…IntroductionDespite extensive testing efforts in anti-doping work, a persistent gap remains between low doping detection rates and substantially higher estimated doping prevalence in sports. Sample Retention and Further Analysis (SFA), which allows samples to be stored for up to ten years for future testing, offers a potential strategy to close this gap by increasing both detection and deterrence of doping.MethodsThis study employs an agent-based modeling approach to simulate interactions among key stakeholders: athletes, anti-doping organizations, laboratories, and event organizers. …”
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Dynamic Corneal Response for Different Air-Puff Stimuli in Ex Vivo Animal Model Measured with SS-OCT System with Two Sample Arms by Ewa Maczynska-Walkowiak, Daniel Ruminski, Grzegorz Gondek, Bartlomiej J. Kaluzny, Karol Karnowski, Ireneusz Grulkowski

“…This study demonstrates the use of a dual-sample arm swept-source optical coherence tomography (SS-OCT) instrument coupled with air-puff stimulation to assess corneal displacement in an ex vivo porcine eye model. …”
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Development of a quantitative PMA-16S rRNA gene sequencing workflow for absolute abundance measurements of seawater microbial communities by Marie C. Thomas, Gretel Waugh, Katarina Damjanovic, Inka Vanwonterghem, Nicole S. Webster, Andrew P. Negri, Heidi M. Luter

“…Unlike RMP, QMP captured significant shifts in the microbial community composition across samples with decreasing proportions of intact cells. …”
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Regularization for Deep Imbalanced Regression Based on Quantitative Relationship by Heng Zhao, Jiehao Chen, Xianghua Fu

“…The feature of the rare sample is under-represented due to the influence of frequent samples. …”
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Heritability and tissue specificity of expression quantitative trait loci. by Enrico Petretto, Jonathan Mangion, Nicholas J Dickens, Stuart A Cook, Mande K Kumaran, Han Lu, Judith Fischer, Henrike Maatz, Vladimir Kren, Michal Pravenec, Norbert Hubner, Timothy J Aitman

“…Variation in gene expression is heritable and has been mapped to the genome in humans and model organisms as expression quantitative trait loci (eQTLs). …”
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Neuropeptidomics: Mass Spectrometry-Based Identification and Quantitation of Neuropeptides by Ji Eun Lee

“…While each neuropeptide could have its own biological function, mass spectrometry (MS) allows for the identification of the precise molecular forms of each peptide without a priori knowledge of the peptide identity and for the quantitation of neuropeptides in different conditions of the samples. …”
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Ecological risk assessment and source identification of heavy metals in the sediments of the Danjiang River Basin: A quantitative method combining multivariate analysis and the APC... by Zhiming Cao, Hui Qian, Yanyan Gao, Kang Li, Yixin Liu, Xiaoxin Shi, Siqi Li, Weijie Zhao, Shuhan Yang, Panpan Tian, Puxia Wu, Yandong Ma

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D-DDPM: Deep Denoising Diffusion Probabilistic Models for Lesion Segmentation and Data Generation in Ultrasound Imaging by Abdalrahman Alblwi, Saleh Makkawy, Kenneth E. Barner

“…The Denoising Diffusion Probabilistic Model (DDPM) has gained significant attention for its powerful image generation and segmentation capabilities, particularly in biomedical applications where accuracy is critical. …”
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Context-Aware Negative Sampling for Sequential Recommendation by Jinseok Seol, Jaesik Choi

“…Over the past decades, context-aware models have been developed to address this. However, the use of context information in negative sampling remains less expored, despite the well-known impact of sampling strategies on recommendation performance. …”
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Metabolism-related proteins as biomarkers for predicting prognosis in polycystic ovary syndrome by Nan Ding, Ruifang Wang, Peili Wang, Fang Wang

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Identification and Quantitation of Melamine in Milk by Near-Infrared Spectroscopy and Chemometrics by Tong Wu, Hui Chen, Zan Lin, Chao Tan

“…The present paper investigated the feasibility of using near-infrared (NIR) spectroscopy and chemometrics for identifying and quantifying melamine in liquor milk. A total of 75 samples were prepared. Uninformative variable elimination-partial least square (UVE-PLS) and partial least squares-discriminant analysis (PLS-DA) were used to construct quantitative and qualitative models, respectively. …”
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Quantitative study on the characteristics of dynamic vehicle interference to geomagnetic field by Qin Tian, Xiujuan Hu, Guoping Chang, Shaopeng He, Pengkun Guo

“…About 35 of the national geomagnetic second sampling stations have been subjected to vehicle interference, which has affected the integrity and efficiency of geomagnetic observation data. …”
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