Soft-computing-based false alarm reduction for hierarchical data of intrusion detection system by Parminder Singh, Sujatha Krishnamoorthy, Anand Nayyar, Ashish Kr Luhach, Avinash Kaur

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Optimization of data allocation in hierarchical memory for blocked shortest paths algorithms by A. A. Prihozhy

“…If the blocks are assigned to the same cache block, conflicts occur among the blocks, which imply active transfer of data between memory levels. The distribution of blocks on groups and the block conflict count strongly depends on the allocation and ordering of the matrix blocks in main memory. …”
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Association between short-term exposure to meteorological factors on hospital admissions for hemorrhagic stroke: an individual-level, case-crossover study in Ganzhou, China by Kailun Pan, Fen Lin, Kai Huang, Songbing Zeng, Mingwei Guo, Jie Cao, Haifa Dong, Jianing Wei, Qiujiang Xi

“…This analysis employed a time-stratified case-crossover design in conjunction with a distributional lag nonlinear model. Additionally, a bivariate response surface modelling was utilized to further investigate the interaction between meteorological factors and particulate matter. …”
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Enhanced Efficiency in SMEs Attendance Monitoring: Low Cost Artificial Intelligence Facial Recognition Mobile Application by Hong-Danh Thai, Yeong-Seok Seo, Jun-Ho Huh

“…The distributed work model, which allows people to work from multiple physical places, has gained significant popularity in recent years, particularly since the outbreak of the COVID-19 epidemic. …”
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VOLUMETRIC AND SPATIAL SEGMENTATION OF THE TIEN SHAN LITHOSPHERE ACCORDING TO GEOPHYSICAL DATA by A. K. Rybin, E. A. Bataleva, K. S. Nepeina, V. E. Matyukov

“…This article consolidates the results of studying the deep structure of the lithosphere of the Central Tien Shan, which aimed to identify the main tectonic elements in its geophysical models. We have compared the structural and geological data with the information on the deep structure obtained by geophysical methods and from the positions of earthquake hypocenters in the study area. …”
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The association between 2017 American College of Cardiology/American Heart Association guideline for hypertension and neonatal outcomes in Kenya: a retrospective study by Mami Hitachi, Kazuchiyo Miyamichi, Sumihisa Honda, Violet Wanjihia, Samson Muuo Nzou, Satoshi Kaneko

“…The maximum blood pressure across all antenatal care visits was classified based on the newly recommended criteria. A generalized linear model with binomial distribution and logit link function was used to evaluate the association between new blood pressure categories and neonatal outcomes at different levels of health facilities. …”
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Sensitivity of predicted ultrafine particle size distributions in Europe to different nucleation rate parameterizations using PMCAMx-UF v2.2 by D. Patoulias, K. Florou, S. N. Pandis, S. N. Pandis

“…<p>The three-dimensional chemical transport model, PMCAMx-UF v2.2, designed to simulate the ultrafine particle size distribution, was used to investigate the impact of varying nucleation mechanisms on the predicted aerosol number concentration in Europe. …”
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USE OF TRIANGULAR MODELS OF NON-STATIONARY PROCESSES IN MODELING VARIABILITY OF HEART RHYTHM by Olena Akhiiezer, Olha Dunaievska, Mykhailo Shyshkin, Olha Butova, Anton Rohovyi

“…The identities of modeling results were checked on time samples of electrocardiographs of 7 patients from open PhysioNet cardiographic libraries on samples with the duration T = 10 s. 3) The standard low-frequency oscillations and "white noise" barrier are clearly differentiated on the applied correlation function by the distribution of spectral density power within the frequency range of 0,15–0,3 Hz. …”
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Analysis of social and economic factors influencing overweight and obesity among women of childbearing age in Nigeria: A GAMLSS approach by O. Fadugba Omolola, Ezra Gayawan, E. Osafu Augustine

“…The rising prevalence of overweight and obesity among women of reproductive age presents significant public health challenges, particularly in low and middle income countries. Utilizing data from the 2018 Nigeria Demographic and Health Survey (NDHS), this research employed a Generalized Additive Model for Location, Scale, and Shape (GAMLSS) alongside with reparameterized Marshall–Olkin distribution within the quantile regression framework to analyze the relationships between the response variable Body Mass Index (BMI) and various predictor. …”
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Landscape Ecological Risk and Its Coupling Relationship With COVID-19 Outbreak Distribution at Ruili City, Yunnan Province by Li Yimin, Liu Shiyi, Wu Bowen, Li Yingying, Zhao Juanzhen, Feng Xianjie

“…[Methods] Landsat remote sensing images of Ruili City in Yunnan Province were used to extract landscape type distribution data in 2000, 2010, 2015, and 2021 by using methods such as landscape artificial disturbance intensity, an ecological risk assessment model, and the GWR model. …”
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Power Quality State Estimation for Distribution Grids Based on Physics-Aware Neural Networks—Harmonic State Estimation by Patrick Mack, Markus de Koster, Patrick Lehnen, Eberhard Waffenschmidt, Ingo Stadler

“…Integrating a high penetration of distributed generation, which is typically located in medium- or low-voltage grids, shifts the monitoring tasks from the transmission to distribution layers. …”
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Spatial distribution and influencing factors of secondhand smoke exposure in Chinese healthcare facilities: a cross-sectional survey by Ying LIU, Xinying ZENG, Lin XIAO, Shiwei LIU

“…MethodsData were collected from the 2022 China Adult Tobacco Survey, including relevant data from non-collectively residing Chinese residents aged ≥ 15 years old and above in 31 provinces (autonomous regions, municipalities) across the country. …”
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Spatiotemporal Distribution of Hand, Foot, and Mouth Disease and the Influence of Air Pollutants and Socioeconomic Factors on Incidence in Fujian, China by Meirong Zhan, Shaojian Cai, Zhonghang Xie, Senshuang Zheng, Zhengqiang Huang, Jianming Ou, Shenggen Wu

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Reconstructing Equatorial Electron Flux Measurements From Low‐Earth‐Orbit: A Conjunction Based Framework by D. L. Stumbaugh, J. Bortnik, S. G. Claudepierre

“…We present our model's prediction for the out‐of‐sample data that agrees well with observations, giving R2 > 0.70. …”
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Association of red blood cell distribution width-platelet ratio with mortality after coronary artery bypass grafting by Bufan Zhang, Yize Liu, Jiyang Zuo, Tianxu Song, Naishi Wu

“…The cut-off value (0.107) of RPR was calculated for further analysis, and groups were further divided into the high RPR group (≥ 0.107) and the low RPR group (< 0.107). In the multivariable logistic regression model, high RPR (≥ 0.107) correlated with elevated risks of in-hospital mortality (OR 6.097, 95% CI [2.308–16.104], p < 0.001) and one-year mortality (OR 6.395, 95% CI [2.610–15.666], p < 0.001) after adjusting for all included covariates. …”
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Cross‐Scale Decoupling Kinetic Processes in Lithium‐Ion Batteries Using the Multi‐Dimensional Distribution of Relaxation Time by Xue Cai, Caiping Zhang, Haijun Ruan, Zeping Chen, Linjing Zhang, Dirk Uwe Sauer, Weihan Li

“…Abstract To non‐destructively resolve and diagnose the degradation mechanisms of lithium‐ion batteries (LIBs), it is necessary to cross‐scale decouple complex kinetic processes through the distribution of relaxation times (DRT). However, LIBs with low interfacial impedance render DRT unreliable without data processing and closed‐loop validation. …”
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Selection of Optimal Diagnostic Positions for Early Nutrient Deficiency in Cucumber Leaves Based on Spatial Distribution of Raman Spectra by Zhaolong Hou, Yaxuan Wang, Feng Tan, Jiaxin Gao, Feng Jiao, Chunjie Su, Xin Zheng

“…Excluding low-similarity data significantly improved model performance for early (24 h) nutrient deficiency diagnosis, resulting in higher precision, recall, and F1 scores. …”
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A hybrid approach to financial big data analysis using extended ensemble learning and optimized spark streaming by Muhammad Babar

“…The system is designed for distributed and parallel execution, leveraging Spark’s map-reduce capabilities for high-throughput, low-latency data handling. …”
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Analysis of the distribution of Astragalus membranaceus var. mongholicus in Inner Mongolia under climate change using the GEE platform by Jingxia Guo, Chunhong Zhang, Mingxu Zhang, Yaqiong Bi, Mengchao Wang, Minhui Li

“…This study explores the currently suitable habitats for A. membranaceus var. mongholicus using a random forest species distribution model on the Google earth engine platform. …”
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A Detailed Look at a Trio of Changing-look Quasars: Spectral Energy Distributions and the Dust Extinction Test by Laura Duffy, Michael Eracleous, Jessie C. Runnoe, John J. Ruan, Scott F. Anderson, Sabrina Dimassimo, Paul Green, Stephanie LaMassa

“…This behavior is challenging to many models of the quasar broad-line region, due in large part to the short transition times between high and low states. …”
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