Examining the Impact of Gender Division of Labor at Home on Women’s Reproductive Behavior Using Agent-Based Simulation by Nasibeh Esmaeili, Hajieh Bibi Razeghi Nasrabad

“…The objective of this paper is to investigate and anticipate the impact of the division of gender roles in households on the reproductive behavior of women in Tehran province using agent-based modeling (ABM) tools. …”
Get full text

Estimation of Impact of Quantitative Easing Policy on EUR/USD using behavioral Equilibrium Exchange Rate Model by A. A. Vinogradov

“…The behavioral equilibrium exchange rate model was used. …”
Get full text

An Analysis and Comparison of the Hydrodynamic Behavior of Ships Using Mesh-Based and Meshless Computational Fluid Dynamics Simulations by Davide Caccavaro, Bonaventura Tagliafierro, Gianluca Bilotta, José M. Domínguez, Alessio Caravella, Roberto Gaudio, Alfredo Cassano, Corrado Altomare, Agostino Lauria

Get full text

Decoding the shadows: multi-modal identity profiling in darknet markets using latent behavior feature fusion by Xuan Zhang, Pengfei Li, Xin Tong, K. P. Chow, DeYu Yuan, Si Chen, Bo Jin

“…In this study, we propose a novel vendor profiling approach that integrates latent behavioral features with textual data, forming the Dark Web Latent Behavior Profiling Framework (DarkBIP-FW). …”
Get full text

Multi-modal Travel Simulation and Travel Behavior Analysis: Case Study in Shanghai by Yue Hu, Chao Yang, Kay W Axhausen

“…This study demonstrates the effectiveness of using mobile phone signaling data for studying multi-modal travel behavior. …”
Get full text

Pregnancies, intentions, and fertility behaviors during use of the Creighton Model FertilityCare System after initial intention to avoid pregnancy: Results from the Creighton Model... by Joseph B Stanford, Shahpar Najmabadi, Chun-Pin Esther Chang, Daniel Opoku Agyemang, Kathy Rivet, Christina A Porucznik

“…The Creighton Model FertilityCare System (CrMS) is a specific system of fertility appreciation used to conceive or to avoid pregnancy. The objective of this paper is to report intentions, behaviors, and pregnancy rates during use of the CrMS among couples who initially intended to avoid pregnancy.…”
Get full text

Corrosion behavior of Q235 under dynamic simulated seawater and online monitoring using resistance probes by Hao Zhang, Xiaowen Song, Hao Miao, Yao Tan, Hao Yu, Junhang Chen, Chenghui Yin, Feixiong Mao, Kui Xiao

“…This study addresses the challenge of corrosion monitoring for carbon steel in seawater pipeline systems by developing an online monitoring setup that dynamically simulates the seawater pipeline environment, and systematically conducts real-time monitoring and mechanistic analysis of the corrosion behavior of Q235 carbon steel. By coupling resistance probe online monitoring with the conventional corrosion coupon method, a predictive model for dynamic corrosion rate was established, and, using X-ray diffraction (XRD) along with microscopic morphology characterization techniques (SEM and 3D confocal microscopy), the evolution of corrosion products and their impact on monitoring accuracy were elucidated. …”
Get full text

Use of mobile phones to collect data on COVID-19: phone access and participation rates, in Rakai, Uganda by Robert Ssekubugu, Anthony Ndyanabo, Fredrick Makumbi, Anna Mia Ekström, Laura Beres, Grace Nalwoga Kigozi, Hadijja Nakawooya, Joseph Ssekasanvu, Maria J Wawer, Fred Nalugoda, Nelson Sewankambo, Victor Ssempijja, Betty Nantume, David Serwadda, Godfrey Kigozi, Ronald H. Gray, Larry W. Chang, M. Kate Grabowski, Helena Nordenstedt, Joseph Kagaayi

“…We supplemented phone survey data with demographic, behavioral, and HIV status data from prior face-to-face RCCS surveys. …”
Get full text

Analysing longitudinal wearable physical activity data using non-stationary time series models by Melina Del Angel, Matthew Nunes, Oliver Peacock, Ewan Cranwell, Dylan Thompson

Get full text

Modeling to Engineering and Failure Times Data: Using the Marshall–Olkin Extended Exponential Distribution by Ibrahim E. Ragab, Najwan Alsadat, Mustapha Muhammad, Suleman Nasiru, Mohammed Elgarhy

“…The model parameters are estimated using the maximum likelihood method. A simulation study is evaluated to demonstrate the behavior of the parameter model. …”
Get full text

Longitudinal Data Analyses Using Linear Mixed Models in SPSS: Concepts, Procedures and Illustrations by Daniel T. L. Shek, Cecilia M. S. Ma

“…Alternatively, linear mixed models (LMM) are commonly used to understand changes in human behavior over time. …”
Get full text

Analyzing the Problems of Ayandeh Bank Branches across the Country Using Data Mining Technique by Shabnam Mohammadi, Somayeh Alizadeh

“…Moreover, call center's ability to resolve problems of branches of each cluster can be assessed using S Factor. Branches were distributed into four optimized clusters based on their behavior pattern. …”
Get full text

Considering time-interaction terms using parametric survival models for interval-censoring data by Erfan Ghasemi, Alireza Akbarzadeh Baghban, Ahmadreza Baghestani, Saeed Asgary

“…Thus, the change in behavior that occurs over time needs to be included in the analysis. …”
Get full text

A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data by X. Peng, F. J. Qin, Q. W. Yang, H. Chen

“…It is well known that test data of mechanical behavior of concrete show great scatterness. …”
Get full text

Optimization algorithm of power system line loss management using big data analytics by Yang Li, Danhong Zhang, Ming Tang

Get full text

A causal model of human growth and its estimation using temporally sparse data by John A. Bunce, Catalina I. Fernández, Caissa Revilla-Minaya

Get full text

A data Mining Approach using CNN and LSTM to Predict Divorce before Marriage by Touba Torabipour, Safieh Siadat, Hosein Taghavi

“…One of the effective solutions to reduce divorce in society is to review the background of the couple, which can provide valuable experiences to experts, and used by experts and family counselors. In this article, a method has been proposed that uses data mining and deep learning to help family counselors to predict the outcome of marriage as a practical tool. …”
Get full text

Accurate influenza forecasts using type-specific incidence data for small geographic units. by James Turtle, Pete Riley, Michal Ben-Nun, Steven Riley

“…Influenza incidence forecasting is used to facilitate better health system planning and could potentially be used to allow at-risk individuals to modify their behavior during a severe seasonal influenza epidemic or a novel respiratory pandemic. …”
Get full text

Machine learning-based analysis of defensive strategies in basketball using player movement data by Jianlong Li

“…This research aims to develop a hybrid machine learning model combining Long-Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN) to classify and analyze defensive basketball strategies, specifically identifying switch and trap plays. The study uses large-scale tracking data to understand the team’s defensive behavior better. …”
Get full text

Improving the Reliability of Biometric Authentication Processes Using a Model for Reducing Data Drift by Vladimir Zh. Kuklin, Naur Z. Ivanov, Alexander N. Muranov, Islam A. Alexandrov, Elena Yu. Linskaya

“…To reduce the influence of data drift, the authors suggest using adaptive learning with a teacher and reinforcement, which helps to work even with small and unrepresentative data samples. …”
Get full text