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

“…The research results indicate insights obtained from the analysis and interpretation of RFAM conducted on 493 data points, resulting in the formation of two distinct clusters. …”
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Bayesian Network in Structural Health Monitoring: Theoretical Background and Applications Review by Qi-Ang Wang, Ao-Wen Lu, Yi-Qing Ni, Jun-Fang Wang, Zhan-Guo Ma

“…The Bayesian network, as a probabilistic reasoning tool, offers a novel technological pathway for SHM due to its strengths in handling uncertainties and multi-source data fusion. This study systematically reviews the core applications of the Bayesian network in SHM, including damage prediction, data fusion, uncertainty modeling, and decision support. …”
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On the Development of a Neural Network Architecture for Magnetometer-Based UXO Classification by Piotr Ściegienka, Marcin Blachnik

“…The classification of Unexploded Ordnance (UXO) from magnetometer data is a critical but challenging task, frequently hindered by the data scarcity required for training robust machine learning models. …”
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Anthelmintic Resistance in Livestock Farming: Challenges and Perceptions of Farmers and Veterinarians by Naida Kapo, Adis Softić, Teufik Goletić, Šejla Goletić, Aleksandar Cvetkovikj, Jasmin Omeragić

“…Anthelmintic resistance in livestock is a growing concern worldwide, with significant implications for animal health and agricultural productivity. …”
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Intersection collision prediction and prevention based on vehicle-to-vehicle (V2V) and cloud computing communication by Min Zeng, Mohd Sani Mohamad Hashim, Mohd Nasir Ayob, Abdul Halim Ismail, Qiling Zang

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Predicting the Acceptance of Informal Learning Technologies: A Case of the TikTok Application by Ahmed Al-Azawei, Ali Alowayr

“…The study also shows a clear similarity between the findings of SEM and data mining techniques in their overall prediction rate. …”
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Emergency department mental health presentations in bushfire-, flood-, storm-, drought-, and COVID-19-affected areas: Analysis of growth models between 2017 and 2021 by Samineh Sanatkar, Samuel B. Harvey, Andrew Mackinnon, Richard Bryant, Grant Sara

“…Methods: This study investigated linear time trends of mental health-related emergency department presentations of adults residing in regions with high, medium, and lesser exposure to fires, floods, storms, droughts, COVID-19 infections and pandemic-related layoffs. Emergency department data were captured from 2017 to 2021. Results: Disaster-affected communities presented to emergency departments at a higher rate well before ‘the Black Summer bushfires’, possibly due to fewer alternatives to hospital care in regional areas. …”
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Redefining customer connections in the UAE’s digital era: A study on emerging technological synergies by Hussam Ali, Ehab Haikal

“…This study investigates the socio-technical implications of IoT integration, particularly its effects on operational efficiency, customer engagement, digital inclusivity, ethical data practices, and sustainability. …”
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A Comprehensive Review and Analysis of Blockchain-Based Security Solutions for Cloud Computing Ecosystems by Noor Ghazi M. Jameel, Zryan Najat Rashid, Abdulkadir Şengür

“…This fusion of blockchain and cloud computing represents the most promising path forward, offering robust security with decentralization and delivering significant advancements in authentication, authorization, data integrity, and privacy protection. This approach will open up vast opportunities in various sectors like healthcare, business, supply chain, and industry due to its guaranteed data security, improved efficiency, and reduced costs.  …”
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Meta-analysis of medical cannabis outcomes and associations with cancer by Ryan D. Castle, James Marzolf, Miranda Morris, William C. Bushell

“…This meta-analysis was conducted to determine the scientific consensus on medical cannabis’ viability in cancer treatment.ObjectiveThe aim of this meta-analysis was to systematically assess the existing literature on medical cannabis, focusing on its therapeutic potential, safety profiles, and role in cancer treatment.MethodsThis study synthesized data from over 10,000 peer-reviewed research papers, encompassing 39,767 data points related to cannabis and various health outcomes. …”
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Public Perceptions of Ethical Challenges and Opportunities for Enterprises in the Digital Age by Ahmad Mansour, Khaled Alshaketheep, Hind Al-Ahmed, Ahmad Shajrawi, Arafat Deeb

“…Statistical analysis demonstrated positive and significant associations: Data privacy and ethical prioritisation (t-value = 45, p < 0.001), Algorithmic ethics and ethical prioritisation (B = 0.35, p = 0.004), Factor analysis identified three critical variables: data privacy and security, ethical algorithms and workforce displacement accounted for 75% of the variance on average. …”
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Exploring the hemoglobin-to-red blood cell distribution width ratio (HRR) to peripheral arterial disease nexus: a comprehensive analysis of NHANES data from 1999 to 2004 by Zhihai Yu, Bin Lu, Rui Han, Can Tu

“…ObjectiveThis study aimed to investigate the correlation between the Hemoglobin-to-Red Blood Cell Distribution Width Ratio (HRR) and Peripheral Artery Disease (PAD) prevalence, utilizing data from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2004.MethodsThe study employed a cross-sectional design, analyzing data from 5,196 participants aged 40 and above. …”
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Homens com úlcera venosa de perna e as implicações para vida laboral [Men with leg venous ulcers and implications for working life] [Hombres con úlcera venosa de pierna y las impli... by Patrícia Alves dos Santos Silva, Norma Valéria Dantas de Oliveira Souza, Déborah Machado dos Santos, Elias Barbosa de Oliveira, Mariana Barci de Souza, Dayse Carvalho do Nascimento

“…The collection instrument was the semistructured interview and data were treated through the thematic content analysis. …”
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Continuing exposure to disadvantageous material and perceived economic factors on self-rated health in different life stages: fixed effects analyses with data from the German Socio... by Tobias Rähse, Matthias Richter, Anja Knöchelmann

“…Methods All analyses are based on longitudinal data from the German Socio-Economic Panel (SOEP) from 1994 to 2017. …”
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An Analytical Prior Selection Procedure for Empirical Bayesian Analysis Using Resampling Techniques: A Simulation-Based Approach Using the Pancreatic Adenocarcinoma Data from the S... by Aditya Chakraborty, Mohan D. Pant

“…<b>Results:</b> The most appropriate data distribution was found to be a two-parameter log-normal via GOF tests. …”
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Autism Spectrum Disorder Traits Predict Interoceptive Deficits and Eating Disorder Symptomatology in Children and Adolescents with Anorexia Nervosa—A Cross-Sectional Analysis: Ital... by Maria Califano, Jacopo Pruccoli, Melania Martucci, Caterina Visconti, Emma Barasciutti, Carla Sogos, Antonia Parmeggiani

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Assessing healthcare cost changes associated with transitioning away from cigarette smoking using healthcare claims data: an exploratory study among adult male patients with COPD by Mingda Zhang, Hui G. Cheng, Brendan Noggle, Jud C. Janak, Megan Richards, David Smith

“…Based on the learnings and limitations identified during the study, we propose concrete recommendations to improve future observational studies by integrating additional real-world healthcare data from multiple data sources.…”
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Exploring housing price dynamics in sustainable cities through a cooperated big data driven machine learning method: case study on a typical city in China by Feng Han, Meiqu Lu, Donghong Qin, Guitao Zheng, Guihong Zeng, Yan Tan, Zhongyang Wu, Haijian Lu, Jun Wang, Yirong Deng, Hui He

“…The findings offer practical implications for policymakers aiming to stabilize housing markets, improve affordability, and guide data-informed infrastructure investments. …”
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Development and validation of a prognostic model to predict relapse in adults with remitted depression in primary care: secondary analysis of pooled individual participant data fro... by Simon Gilbody, Dean McMillan, Bob Phillips, Kym I E Snell, Richard D Riley, David A Richards, Jaime Delgadillo, Shehzad Ali, Chris Salisbury, Lewis W Paton, Lucinda Archer, Peter A Coventry, Stephen Pilling, Andrew S Moriarty, Joshua E J Buckman, Nick Meader, Carolyn A Chew Graham

“…On secondary analysis, being in a relationship was associated with reduced risk of relapse (OR: 0.43 (0.28–0.67), p&lt;0.001); this remained statistically significant after correction for multiple significance testing.Conclusions We could not predict risk of depression relapse with sufficient accuracy in primary care data, using routinely recorded measures. Relationship status warrants further research to explore its role as a prognostic factor for relapse.Clinical implications Until we can accurately stratify patients according to risk of relapse, a universal approach to relapse prevention may be most beneficial, either during acute-phase treatment or post remission. …”
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Disparities in access to anti-HER2 therapies in neoadjuvant chemotherapy: A prognostic analysis based on real-world data comparing Brazil's public and private healthcare systems by Marcelo Antonini, André Mattar, Denise Joffily Pereira da Costa Pinheiro, Isabela Bastos Maia, Marina Diógenes Teixeira, Andressa Gonçalves Amorim, Odair Ferraro, Larissa Chrispim de Oliveira, Marcellus do Nascimento Moreira Ramos, Francisco Pimentel Cavalcante, Felipe Zerwes, Marcelo Madeira, Romualdo Barroso-Sousa, Eduardo de Camargo Millen, Antonio Luiz Frasson, Fabricio Palermo Brenelli, Gil Facina, Rogério Fenile, Luiz Henrique Gebrim, Juliana Monte Real

“…Conclusion: There were significant differences in the provision of trastuzumab between the public and private healthcare systems, adversely affecting clinical outcomes and patient survival. The current data highlight the pressing need to address equity in cancer treatment to improve prognosis for every patient.…”
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