Simulation models of dengue transmission in Funchal, Madeira Island: Influence of seasonality. by Donald Salami, César Capinha, Carla Alexandra Sousa, Maria do Rosário Oliveira Martins, Cynthia Lord

“…Here, we adopt a deterministic model for the transmission of dengue in Aedes aegypti mosquitoes. …”
Get full text

APPROACHES FOR A MODEL OF POPULATION UROLOGICAL SCREENING BASED ON TELEMEDICINE TECHNOLOGIES by O. I. Apolikhin, A. V. Sivkov, I. A. Shaderkin, A. V. Vladzymyrskyy, V. A. Shaderkina, D. A. Voytko, M. Yu. Prosyannikov

“…Methods of analysis, synthesis and information modeling were used. Methodological documents recognized by WHO used for model evaluation. …”
Get full text

Hydrological Modelling and Remote Sensing for Assessing the Impact of Vegetation Cover Changes by Ángela M. Moreno-Pájaro, Aldhair Osorio-Gastelbondo, Dalia A. Moreno-Egel, Oscar E. Coronado-Hernández, María A. Narváez-Cuadro, Manuel Saba, Alfonso Arrieta-Pastrana

“…Hydrological data from 1974 to 2019 were processed to model intensity–duration–frequency (IDF) curves and simulate heavy rainfall events using six storms of nine-hour duration. …”
Get full text

Analysis of personality disorder profiles obtained by five-factor personality model by Pešić Danilo, Adžić Tara, Vuković Olivera, Kalanj Marko, Lečić-Toševski Dušica

“…The study showed that it is possible to conceptualize personality disorders by using five-factor personality model of normal personality. Integrating the psychiatric classification with the dimensional model of general personality structure could enable the uncovering of essential parameters for setting the diagnosis.…”
Get full text

Preliminary Studies Demonstrating Acetoclastic Methanogenesis in a Rat Colonic Ring Model by Edward A. Carter, Ronald G. Barr

Get full text

Drosophila: An Emergent Model for Delineating Interactions between the Circadian Clock and Drugs of Abuse by Aliza K. De Nobrega, Lisa C. Lyons

“…The 21st century has seen a dramatic rise in the incidence of circadian and sleep disorders with globalization, technological advances, and the use of personal electronics. …”
Get full text

Characterization of a Drosophila Alzheimer's disease model: pharmacological rescue of cognitive defects. by Ranjita Chakraborty, Vidya Vepuri, Siddhita D Mhatre, Brie E Paddock, Sean Miller, Sarah J Michelson, Radha Delvadia, Arkit Desai, Marianna Vinokur, David J Melicharek, Suruchi Utreja, Preeti Khandelwal, Sara Ansaloni, Lee E Goldstein, Robert D Moir, Jeremy C Lee, Loni P Tabb, Aleister J Saunders, Daniel R Marenda

“…Transgenic models of Alzheimer's disease (AD) have made significant contributions to our understanding of AD pathogenesis, and are useful tools in the development of potential therapeutics. …”
Get full text

Unlocking Retail Insights: Predictive Modeling and Customer Segmentation Through Data Analytics by Juan Tang

“…This research aims at examining the progress of retail demand forecasting and customer classification via regression models and RFM analysis in the retail chain industry. …”
Get full text

Ciliopathy is differentially distributed in the brain of a Bardet-Biedl syndrome mouse model. by Khristofor Agassandian, Milan Patel, Marianna Agassandian, Karina E Steren, Kamal Rahmouni, Val C Sheffield, J Patrick Card

“…Many of the symptoms characterized in the human disease have been reproduced in animal models carrying deletions or knock-in mutations of genes causal for the disorder. …”
Get full text

A hybrid TCN-XGBoost model for agricultural product market price forecasting. by Tianwen Zhao, Guoqing Chen, Sujitta Suraphee, Tossapol Phoophiwfa, Piyapatr Busababodhin

“…Experimental results demonstrate that the TCN-XGBoost model significantly outperforms traditional models such as ARIMA (RMSE = 0.36, MAPE = 8.9%) and LSTM (RMSE = 0.34, MAPE = 8.1%). …”
Get full text

MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS. by Paul F O'Reilly, Clive J Hoggart, Yotsawat Pomyen, Federico C F Calboli, Paul Elliott, Marjo-Riitta Jarvelin, Lachlan J M Coin

“…Here we compare the performance of modelling multiple phenotypes jointly with that of the standard univariate approach. …”
Get full text

Predicting the prognosis of epithelial ovarian cancer patients based on deep learning models by Zihan Li, Jiao Wang, Yixin Zhang, Zhen Yang, Fanchen Zhou, Xueting Bai, Qian Zhang, Wenchong Zhen, Rongxuan Xu, Wei Wu, Zhihan Yao, Xiaofeng Li, Yiming Yang

“…In conclusion, comparing several models cited, it was found that DeepSurv (Deep Survival) model had the best performance in both internal validation set and external validation set. …”
Get full text

Demographic Determinants of Women's Fertility Decision by Rohana Kamaruddin

“… Malaysia is an interesting country to study despite a dramatic change in demographic and socioeconomic development. …”
Get full text

Investigating the Stress Management Status in Middle-Aged Women in Bushehr based on a Transtheoretical Model by Nasrin Keshavarzi, Marzieh Mahmoodi, Homamodin Javadzade, Mahnoush Reisi

Get full text

Modelling the impact of interventions on the progress of the COVID-19 outbreak including age segregation. by Jorge Rodríguez, Mauricio Patón, Joao M Uratani, Juan M Acuña

“…Data available from the COVID-19 outbreak from Spain as of mid-May 2020 was used. Key findings in our model simulation results indicate that (i) universal social isolation measures appear effective in reducing total fatalities only if they are strict and the number of daily interpersonal contacts is reduced to very low numbers; (ii) selective isolation of only the elderly (at higher fatality risk) appears almost as effective as universal isolation in reducing total fatalities but at a possible lower economic and social impact; (iii) an increase in the number of critical care capacity directly avoids fatalities; (iv) the use of personal protective equipment (PPE) appears to be effective to dramatically reduce total fatalities when adopted extensively and to a high degree; (v) extensive random testing of the population for more complete infection recognition (accompanied by subsequent self-isolation of infected aware individuals) can dramatically reduce the total fatalities only above a high percentage threshold that may not be practically feasible.…”
Get full text

Resilient dispatching optimization of power system driven by deep reinforcement learning model by Haifeng Zhang, Yifu Zhang, Jiajun Zhang, Xiangdong Meng, Jiazu Sun

“…In particular, it is worth mentioning that the success rate of power supply restoration is as high as 96% under the simulated central natural disaster scenario, which fully proves that the model significantly improves the anti-interference ability and power supply reliability of the power system, dramatically enhances the efficiency and reliability of power system scheduling, and provides a strong guarantee for the stable operation of the power system.…”
Get full text

Sequential Truncation of R-Vine Copula Mixture Model for High-Dimensional Datasets by Fadhah Amer Alanazi

“…As the dimensions increase, the number of the model parameters that need to be estimated is increased dramatically, which comes along with massive computational times and efforts. …”
Get full text

Improving parking availability prediction in smart cities with IoT and ensemble-based model by Stéphane Cédric Koumetio Tekouabou, El Arbi Abdellaoui Alaoui, Walid Cherif, Hassan Silkan

“…This results have thus improved the best existing performance by over 6.6% while dramatically reducing system complexity.…”
Get full text

Adaptive Evolution of Virulence-Related Traits in a Susceptible-Infected Model with Treatment by Xinzhu Meng, Yang Yang, Shengnan Zhao

“…This paper investigates the adaptive evolution of pathogen virulence in a susceptible-infected (SI) model under drug treatment. We explore the evolution of a continuous trait, virulence of a pathogen, and consider virulence-dependent cure rate (recovery rate) that dramatically affects the outcome of evolution. …”
Get full text

JESO: Reducing Data Center Energy Consumption Based on Model Predictive Control by Xun Chen, Guizhao Xu, Xiaolei Chang, Zhenzhou Wu, Zhengjian Chen, Chenxi Li

“…With the development of the Internet, the demand for data centers is growing dramatically. The cost of running a data center mainly comes from the huge electricity bill. …”
Get full text