Estimating fine age structure and time trends in human contact patterns from coarse contact data: The Bayesian rate consistency model. by Shozen Dan, Yu Chen, Yining Chen, Melodie Monod, Veronika K Jaeger, Samir Bhatt, André Karch, Oliver Ratmann, Machine Learning & Global Health network

“…The Bayesian rate consistency model provides a model-based, non-parametric, computationally tractable approach for estimating the fine structure and longitudinal trends in social contacts and is applicable to contemporary survey data with coarsely reported age of contacts as long as the exact age of survey participants is reported.…”
Get full text

Seasonal genetic variation and genetic structure of Spodoptera exigua in Liaoning Province, Northeast China: insights from 11 years of microsatellite data by Ming-Li Yu, Xian-Zhi Xiu, Jin-Yang Wang, Xin-Yi Cao, Fa-Liang Qin, Xing-Ya Wang, Li-Hong Zhou

“…To control this pest effectively, it is crucial to investigate its seasonal genetic variation and population genetic structure in northern China. Methods In this study, we used eight nuclear microsatellite loci to investigate the seasonal genetic variation and genetic structure of BAW in Shenyang, Liaoning Province, Northeast China, from 2012–2022, collected from a single location on Welsh onion. …”
Get full text

The glucose-lowering therapy structure in special groups of type 2 diabetes mellitus patients based on data from the Moscow region register by Inna V. Misnikova, Yulia A. Kovaleva, Mikhail А. Isakov, Alexander V. Dreval

“…BACKGROUND: Data of real clinical practice in diabetes mellitus (DM) register allow to evaluate features and trends in structure of glucose-lowering therapy (GLT). …”
Get full text

Data Assimilation Informed Model Structure Improvement (DAISI) for Robust Prediction Under Climate Change: Application to 201 Catchments in Southeastern Australia by Julien Lerat, Francis Chiew, David Robertson, Vazken Andréassian, Hongxing Zheng

Subjects: “…model structure…”
Get full text

Structural Feedback Analysis Based on Monitoring Data from Units with Different Spiral Case Embedding Methods at Three Gorges Hydropower Station by CHEN Qin, SU Hai-dong, DUAN Guo-xue, CUI Jian-hua, ZHOU Shi-hua

“…As the supporting system of hydroelectric generators, both the steel spiral cases and surrounding reinforced concrete structures have significant differences in construction processes and structural bearing characteristics due to different embedding methods. …”
Get full text

A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses. by William T Harvey, Vinny Davies, Rodney S Daniels, Lynne Whittaker, Victoria Gregory, Alan J Hay, Dirk Husmeier, John W McCauley, Richard Reeve

“…We show that incorporating protein structural data into variable selection helps resolve ambiguities arising due to correlated signals, with the proportion of variables representing haemagglutinin positions decisively included, or excluded, increased from 59.8% to 72.4%. …”
Get full text

A dynamic key management and secure data transfer based on m-tree structure with multi-level security framework for Internet of vehicles by Hua Yi Lin, Meng-Yen Hsieh

Get full text

PATIENTS WITH ATRIAL FIBRILLATION IN MULTIDISCIPLINARY HOSPITAL: STRUCTURE OF HOSPITALIZATION, CONCOMITANT CARDIOVASCULAR DISEASES AND DRUG TREATMENT (DATA OF RECVASA AF-TULA REGISTRY) by M. N. Valiakhmetov, T. A. Gomova, M. M. Loukianov, S. Yu. Martsevich, K. N. Nadejkina, M. N. Artemova, D. N. Jilin, E. E. Fedotova, A. V. Zagrebelnyy, E. V. Kudryashov, S. A. Boytsov

“…All patients with a diagnosis of AF in the patient's chart (n=1225) were included into the RECVAZA AF-Tula registry; that is 4.2% of 29018 patients hospitalized to the Tula Regional Clinical Hospital in 2013. The structure of the associated cardiovascular diseases, as well as drug therapy, was evaluated on the basis of data in the medical documentation.Results. …”
Get full text

Detachment‐Fault Structure Beneath the TAG Hydrothermal Field, Mid‐Atlantic Ridge, Revealed From Dense Wide‐Angle Seismic Data by Szu‐Ying Lai, G. Bayrakci, B. J. Murton, T. A. Minshull

“…We used dense wide‐angle seismic data to define TAG's detachment structure at a finer scale than has previously been possible. …”
Get full text

A Time–Frequency-Based Data-Driven Approach for Structural Damage Identification and Its Application to a Cable-Stayed Bridge Specimen by Naiwei Lu, Yiru Liu, Jian Cui, Xiangyuan Xiao, Yuan Luo, Mohammad Noori

“…Structural damage identification based on structural health monitoring (SHM) data and machine learning (ML) is currently a rapidly developing research area in structural engineering. …”
Get full text

A comparative study of regression methods to predict forest structure and canopy fuel variables from LiDAR full-waveform data by P. Crespo-Peremarch, L.A. Ruiz, A. Balaguer-Beser

“…Regression methods are widely employed in forestry to predict and map structure and canopy fuel variables. We present a study where several regression models (linear, non-linear, regression trees and ensemble) were assessed. …”
Get full text

Structure of snow-­ice dams of the outburst lakes in the Broknes Peninsula (Larsemann Hills, East Antarctica) based on ground­penetrating radar data by S. D. Grigoreva, E. R. Kiniabaeva, M. R. Kuznetsova, S. V. Popov, M. P. Kashkevich

“…During the summer field season of the 65th Russian Antarctic Expedition a research aimed at studying the structure of the snow-­ice dams of the Lakes Progress and Discussion (Larsemann Hills, East Antarctica), which are characterized with annual outburst floods, was carried out. …”
Get full text

A nonparametric approach for detecting urban polycentric spatial structure in China using remote sensing nighttime light and point of interest data by Linlin Jiang, Yizhen Wu, Junru Wang, Huiran Han, Kaifang Shi

“…Effectively identifying urban polycentric spatial structure (UPSS) is essential for data-driven evaluation of urban performance, and it serves as a scientific basis for urban spatial planning. …”
Get full text

Composite likelihood inference for analysis of individual animal identification data by Xueli Xu, Xiaoyue Zhang, Hal Whitehead, Dehan Kong, Ximing Xu

Subjects: “…Individual identification data…”
Get full text

Spatial Structure Analysis for Subsurface Defect Detection in Materials Using Active Infrared Thermography and Adaptive Fixed-Rank Kriging by Chun-Han Chang, Stefano Sfarra, Nan-Jung Hsu, Yuan Yao

“…The study focuses on reducing noise and nonstationary backgrounds in data collected through active infrared thermography (AIRT) for defect detection in materials. …”
Get full text

Exploration of 3D Coal Seam Geological Modeling Visualization and Gas Content Prediction Technology Based on Borehole Data by Xiangfeng Zhao, Tianxuan Hao, Huiyan Feng, Fan Li, Xu Li

“…ABSTRACT The geological structure of coal mines and the precise prediction of coal seam gas content are key factors in creating the transparent working face, and they also represent an important aspect of intelligent coal mining. …”
Get full text

ABOUT DATA MODELING SUBJECT DOMAINS PRACTICE-ORIENTED DIRECTION FOR UNIVERSAL SYSTEM OF STORAGE AND PROCESSING DATA by L. V. Rudikova, E. V. Zhavnerko

Subjects: “…data warehouse…”
Get full text

STRUCTURE OF SUNDA IN TANGERANG REGENCY AND THE TERRITORY OF USE by Agus Sulaeman

Get full text

Exploring Structural Characteristics of Lattices in Real World by Yu Chen, Jinguo You, Benyuan Zou, Guoyu Gan, Ting Zhang, Lianyin Jia

“…To the best of our knowledge, no work has paid enough attention to this challenging issue from the perspective of graph data, in spite of the importance of structures in lattice data. …”
Get full text

Methods and Models for Estimating the Maturity of the Innovation Structure by I. A. Brusakova

Get full text