Analyzing Customer Loyalty Levels through Segmentation in Aesthetic Clinics Using K-Means and RFAM by Sinarring Azi Laga, Deny Hermansyah, Chitra Laksmi Rithmaya, Muhammad Zainuddin, Geo Ardana Ihsan Purnama Aji, Iqbal Ramadhani Mukhlis

“…This approach is utilized to leverage historical customer data to identify customer segments based on their purchasing behavior, including visit frequency, average purchase amount, and the last time they visited the clinic. …”
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Screen Guided Training Does Not Capture Goal-Oriented Behaviors: Learning Myoelectric Control Mappings From Scratch Using Context Informed Incremental Learning by Evan Campbell, Ethan Eddy, Xavier Isabel, Scott Bateman, Benoit Gosselin, Ulysse Cote-Allard, Erik Scheme

“…Human-machine interfaces based on myoelectric signals typically use screen-guided training (SGT) for model calibration, but this approach fails to capture realistic user behaviors. …”
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People with dementia and informal caregivers’ perceptions of barriers and facilitators to implementing a behavioral activation intervention: a qualitative study using Normalization... by Frida Svedin, Oscar Blomberg, Anders Brantnell, Paul Farrand, Louise von Essen, Anna Cristina Åberg, Joanne Woodford

“…Interview transcripts were analyzed using the NPT coding manual, with an inductive approach adopted for data related to the core theoretical NPT constructs, but not represented within its sub-constructs. …”
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The use of artificial neural network algorithms to enhance tourism economic efficiency under information and communication technology by Yun Tian, Xiaojie Tang

“…This work proposes an analysis method based on the artificial neural network to predict tourist behavior patterns through big data analysis, thereby optimizing the allocation of tourism resources. …”
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Innovative Approach to Detecting Autism Spectrum Disorder Using Explainable Features and Smart Web Application by Mohammad Abu Tareq Rony, Fatama Tuz Johora, Nisrean Thalji, Ali Raza, Norma Latif Fitriyani, Muhammad Syafrudin, Seung Won Lee

“…Autism Spectrum Disorder (ASD) is a complex developmental condition marked by challenges in social interaction, communication, and behavior, often involving restricted interests and repetitive actions. …”
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Assessment of the development of strains/cracks in carbon-short-fiber-reinforced concrete (CSFRC) under static tensile loading using strain gauges and light-beam micrometer by Džolan Ante, Fischer Oliver, Jurišić Marino

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A Process for Measuring Lip Kinematics Using Participants’ Webcams during Linguistic Experiments Conducted Online by Erik Hunt, Peter A. Krause, Ryan James Pili

“…The present paper introduces a lip-tracking approach specifically designed for use in web-based research. The central innovation is a custom extension written for jsPsych, an existing JavaScript framework for running behavioral experiments online. …”
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Use of Community Science Data to Assess Factors Associated With Diamond‐Backed Terrapin (Malaclemys terrapin) Sightings in Coastal Marshes of Southeastern North Carolina, USA by Morgan Whitmer, Elizabeth Pinnix, Sarah Finn, Jessie Jarvis, Hope Sutton, Amanda Southwood Williard

“…The aim of this study was to assess the factors associated with diamond‐backed terrapin sightings at two estuarine monitoring sites in North Carolina using data collected via community science head count surveys. …”
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Self-reported condom use among Washington State residents prior to and during the COVID-19 pandemic: a cross-sectional analysis of BRFSS data by Alyson J Littman, Mary Jewell, Sonya M Jampel, Mary Grace Casagrande, Kristjana Ásbjörnsdóttir

“…Objectives COVID-19 significantly impacted healthcare access and sexual behaviour, but little is known about how COVID-19 affected condom use. This study aimed to investigate whether self-reported condom use and sex in Washington State changed during pandemic restrictions compared with prepandemic.Design Cross-sectional survey data from the Behavioral Risk Factor Surveillance System.Setting Washington State.Participants 11 684 participants aged 18–65.Primary and secondary outcome measures The primary outcome was changes in the prevalence of condom use by time of interview pre-COVID-19, before the Washington State lockdown (1 January 2019 to 23 March 2020, n=7708) and during COVID-19, after the first state lockdown (24 March 2020 to 31 December 2020, n=3976). …”
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Scenario projections of future irrigation water demand for field crops in Germany considering farmers’ adaptive land use by Jasmin Heilemann, Mansi Nagpal, Simon Werner, Bernd Klauer, Erik Gawel, Christian Klassert

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Classification of suicidal ideation severity from Twitter messages using machine learning by Pantaporn Benjachairat, Twittie Senivongse, Nattasuda Taephant, Jiratchaya Puvapaisankit, Chonlakorn Maturosjamnan, Thanakorn Kultananawat

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A New Two‐Stage Probabilistic Remaining Useful Life Prediction Method for Wind Turbines by Weifei Hu, Xuewei Zhou, Qing Jiao, Feng Zhao, Ning Tang, Ke Li, Zili Wang

“…The effectiveness of the proposed method is validated by two case studies using a publicly available dataset and real WT data, respectively. …”
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Modeling residue formation from crude oil oxidation using tree-based machine learning approaches by Mohammad-Reza Mohammadi, Seyyed-Mohammad-Mehdi Hosseini, Behnam Amiri-Ramsheh, Saptarshi Kar, Ali Abedi, Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour

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Peering into the team role kaleidoscope: the interplay of personal characteristics and verbal interactions in collaborative problem solving by Siem Buseyne, Siem Buseyne, Siem Buseyne, Amelie Vrijdags, Sameh Said-Metwaly, Sameh Said-Metwaly, Thierry Danquigny, Jean Heutte, Fien Depaepe, Fien Depaepe, Annelies Raes

“…Typical team role behavior was assessed by the team members using the Team Role Experience and Orientation peer rating system. …”
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Exploring Electric Vehicle Purchase Intention in Jakarta: What Attracts Consumers? by Sapta Aji Yudistira, Daniel Tumpal Hamonangan Aruan

“…Employing a combined framework of the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM), the research examines the influence of attitudes toward EVs, perceived usefulness, perceived risk, environmental concern, and subjective norms on purchase intention. …”
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STRUCTURAL EQUATION MODELLING (SEM) BASED ASSESSMENT OF STUDENTS' M-LEARNING BEHAVIOURAL ADOPTION USING AN EXTENDED-SIMPLIFIED TAM by Parveen Singh Kalsi, Rajveer Kaur

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High-risk fertility behaviors and associated factors among married reproductive-age women in sub-Saharan Africa: A multilevel mixed-effect analysis of nationally representative dat... by Kusse Urmale Mare, Setognal Birara Aychiluhm, Getahun Fentaw Mulaw, Kebede Gemeda Sabo, Mekuriyaw Gashaw Asmare, Betel Zelalem Wubshet, Tsion Mulat Tebeje, Beminate Lemma Seifu

“…<h4>Methods</h4>Data from DHS of 35 sub-Saharan African countries were used and a weighted sample of 243,657 married reproductive-age women were included in the analysis. …”
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A cost-effectiveness analysis of two psychological treatments for controlled drinking in individuals with alcohol use disorder by Sergio Flores, Egill Jónsson-Bachmann, Stina Ingesson-Hammarberg, Anders Hammarberg, Camilla Nystrand, Filipa Sampaio

“…While Behavioral Self-Control Training (BSCT) and Motivational Enhancement Therapy (MET) are effective for alcohol use disorders (AUD), their cost-effectiveness has not been studied. …”
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Exploring purchasing behavior of Ethiopian consumers towards locally produced apparel products: an extended model of the theory of planned behavior by Eyob Minbale, Berihun Bizuneh, Wendosen Seife, Shalemu Sharew, Kumlachew Bitew

“…With this concern, this paper explores the determinants of Ethiopian consumers’ purchasing behavior towards locally-produced apparel products by using the extended theory of planned behavior (TPB) model. …”
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Inferring human behavior through online social networks may provide accurate behavioral estimates for outbreak forecasting of arboviruses. by Frédéric Jourdain, Debapriyo Chakraborty, Beatrice Gaillard, Arnaud Gautier, Frédéric Simard, Pierre Jay Robert, Laurent Dormont, Jean-Claude Desenclos, Benjamin Roche

“…This study provides the first evidence that using digital social network data to infer epidemiologically relevant behavior achieves similar results as using large-scale opinion survey data. …”
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