Exploring New Paradigms in Time Series Prediction by Integrating Computer Simulations and Machine Learning by Pengcheng Wu, Yan Shi, Pengfei Zhao, Zhengzhao Gu

“…Time series prediction is a challenging task that requires modeling complex temporal dependencies and structural priors. …”
Get full text

Risky sexual behavior and the HIV gender gap for younger adults in sub-Saharan Africa by Elad Daniels, Gary Gaumer, Fairooz Newaz, Allyala K Nandakumar

“…Risky sexual behaviors are important drivers behind the HIV prevalence gender gap among younger adults in sub-Saharan Africa. # Methods We used nationally representative survey data from three sub-Saharan African countries, Malawi, Tanzania and Zambia, to explain the relationship between HIV prevalence and having an older partner and/or having multiple partners using a logit model. …”
Get full text

A Novel Algorithm for Estimating the Sand Dune Density of the Taklimakan Desert Based on Remote Sensing Data by Mingyu Wang, Yongqiang Liu, Huoqing Li, Minzhong Wang, Wen Huo, Zonghui Liu

“…Owing to the limitations of estimation methods and data availability, accurately quantifying dune density has posed a significant challenge; in response to this issue, we propose an innovative model to estimate dune density using a dune vertex search combined with four-directional orographic spectral decomposition. …”
Get full text

Side-chain moieties from the N-terminal region of Aβ are Involved in an oligomer-stabilizing network of interactions. by Kaja Przygońska, Jarosław Poznański, Ulrik H Mistarz, Kasper D Rand, Michał Dadlez

“…We provide a hypothetical molecular model of the trajectory that allows a gradual conversion from antiparallel to parallel oligomers without decomposition of oligomers. …”
Get full text

Using Artificial Intelligence for Competitive Procurements: Legal Regulation Issues by D. A. Kazantsev, P. Dohnal, P. Dohnal Jr.

“…Objective: to substantiate the promising directions of legal regulation of relations in the use of artificial intelligence technologies in competitive (commercial and public) procurement.Methods: the study was conducted using induction, synthesis, analogy, decomposition of problems and generalization of conclusions. …”
Get full text

Thermochemical conversion of waste hemp textiles into hierarchical porous carbons for CO2 capture: Kinetic insights and structure–property relationships by Zihan Wang, Tianxin Li, Boling Song, Shoujun Liu, Sha Li

“…Thermogravimetric analysis coupled with model-free kinetic methods (Flynn–Wall–Ozawa and Kissinger–Akahira–Sunose) quantitatively revealed a three-stage decomposition mechanism, demonstrating exceptional consistency in apparent activation energies (220.0–221.2 kJ/mol). …”
Get full text

The elderly as a population at risk of chronic obstructive pulmonary disease mortality due to ambient ozone exposure: results from the Global Burden of Disease Study 2021 by Hongjuan Fang, Qiang Wang

“…Age-period-cohort (APC) model was used to analyse independent age, period and cohort effects. …”
Get full text

Research on ionospheric parameters prediction based on deep learning by Yuntian FENG, Xia WU, Xiong XU, Rongqing ZHANG

“…For ionospheric parameter prediction, the short-term and daily mean value prediction of ionospheric parameters was established by long short-term memory (LSTM) predictive neural network modeling.Two methods of point-by-point prediction and sequence prediction were utilized.Furthermore, in order to predict the hourly and daily changes of ionospheric parameters, the proposed scheme was optimized by multidimensional prediction and empirical mode decomposition (EMD) algorithm.Finally, the feasibility of the proposed optimization algorithm in improving the prediction accuracy of ionospheric parameters is verified.…”
Get full text

History Matching of a Channelized Reservoir Using a Serial Denoising Autoencoder Integrated with ES-MDA by Sungil Kim, Baehyun Min, Seoyoon Kwon, Min-gon Chu

“…Improvement in the history matching performance resulting from denoising is also observed for ES-MDA algorithms combined with dimension reduction approaches such as discrete cosine transform, K-singular vector decomposition, and a stacked autoencoder. The results of this study imply that a well-trained SDAE has the potential to be a reliable auxiliary method for enhancing the performance of data assimilation algorithms if the computational cost required for machine learning is affordable.…”
Get full text

Wind Power Forecasting Based on Multi-Graph Neural Networks Considering External Disturbances by Xiaoyin Xu, Zhumei Luo, Menglong Feng

“…Though much progress has been achieved in deep learning approaches, existing methods cannot effectively decompose and model intertwined spatio-temporal dependencies. …”
Get full text

Global, regional, and national burdens of eating disorders from 1990 to 2021 and projection to 2035 by Xiangrong Liu, Xiangrong Liu, Lu Liu, Hang Yu, Xueyan Yang, Zhao Liu, Zhimeng Yu, Xin Qin, Yinghua Liu

“…Potential trends through 2035 were also projected using BAPC modeling. We found that the disease burden imposed by eating disorders was gradually increasing. …”
Get full text

Global burden of asthma attributable to high body mass index in older adults 1990–2021 and prediction to 2050: An analysis of Global Burden of Disease Study 2021 by Zhikang Wang, MPH, Yifang Liu, PhD, Yilin Li, MPH, Qi Wang, PhD, Junan Liu, PhD

“…This study aimed to assess the spatial and temporal trends for asthma burden attributable to high body mass index in older adults from 1990 to 2021 and to project trends up to 2050. Method: We extracted data from the Global Burden of Disease Study 2021 for population aged over 60 years with asthma attributable to high BMI. …”
Get full text

Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls by ZHANG Bingbing, SONG Fei

“…For this reason, a finite element analysis method based on random field theory is proposed in this paper, which can more realistically reflect the non-homogeneous characteristics of the reinforced soil retaining wall system by introducing a spatial random distribution model of the soil parameters and the mechanical properties of the geocells, so as to more accurately assess the influence of the spatial variability of the material parameters on the deformation behavior and stability of the retaining wall.MethodsFirstly, in parameter random field modeling, an innovative combination of Latin Hypercube Sampling (LHS) and exponential autocorrelation function is used to construct parameter random fields. …”
Get full text

Global trends and inequities in smoking-attributable aortic aneurysm burden from 1990 to 2021 with future projections by Shuai Zhang, Zhaohui Hua, Zhen Li, Hui Cao, Shuai Cheng

“…Decomposition analysis partitioned contributions of population growth, aging, and epidemiological factors. …”
Get full text

PolSAR Forest Height Estimation Enhancement With Polarimetric Rotation Domain Features and Multivariate Sensitivity Analysis by Fu-Gen Jiang, Ming-Dian Li, Si-Wei Chen

“…Typical polarimetric features, such as amplitude features and polarimetric decomposition features, are susceptible to the influence of target scattering diversity, often leading to reduced interpretation performance. …”
Get full text

Shifted dominant flood drivers of an alpine glacierized catchment in the Tianshan region revealed through interpretable deep learning by Wenting Liang, Weili Duan, Yaning Chen, Gonghuan Fang, Shan Zou, Zhi Li, Zewei Qiu, Haodong Lyu

“…Two Long Short-Term Memory (LSTM) models (LSTM-SG and LSTM-DDF) were developed using these inputs, and additive decomposition and integrated gradient methods were applied to interpret flood mechanisms. …”
Get full text

Spatiotemporal Forecasting of Traffic Flow Using Wavelet-Based Temporal Attention by Yash Jakhmola, Madhurima Panja, Nitish Kumar Mishra, Kripabandhu Ghosh, Uttam Kumar, Tanujit Chakraborty

“…Traditional statistical and machine learning methods struggle to handle both temporal and spatial dependencies in such datasets. …”
Get full text

Temporal trends in prevalence and years of life lived with disability for hearing loss in China from 1990 to 2021: an analysis of the global burden of disease study 2021 by Yuhuan Sun, Yang Yi, Geyao Huang, Shihao Jiang, Yuchen Zhou, Hongkun Chen, Dahui Wang, Dahui Wang

“…This study analyzes the burden of HL in China from 1990 to 2021 and projects future trends in next 15 years.MethodsData derived from the Global Burden of Disease (GBD) 2021 study were utilized. …”
Get full text

Spatiotemporal Variation and Driving Mechanisms of Carbon Budgets in Territorial Space for Typical Lake-Intensive Regions in China: A Case Study of the Dongting Lake Region by Suwen Xiong, Zhenni Xu, Fan Yang, Chuntian Gu

“…Finally, using the logarithmic mean Divisia index (LMDI) decomposition model, this study examines the driving mechanisms of carbon budgets from a territorial space perspective. …”
Get full text

Price relationships and market linkages of by-product critical metals across multiple time scales: A case study of copper and cobalt by SU Hui, WU Qiaosheng, CHENG Jinhua, ZHOU Na, BI Zhiwei

“…Based on the ensemble empirical mode decomposition, nonlinear Granger causality tests, DCC-GARCH model, and MSVAR model, the study analyzed the bidirectional price relationships, dynamic market associations, market linkage evolution, and their influencing factors across different time scales from 2008 to 2022. …”
Get full text