Factors Associated with Pap Smear Implementation among Women Referring to Healthcare Centers in Fasa, Iran: An Application of Theory of Planned Behavior by Zahra Moradi, Parvin Moradi, Ali Khani Jeihooni, Azizollah Dehghan

“…Materials and Methods: This descriptive-analytic cross-sectional study was conducted on 700 married women in Fasa city in 2016. …”
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Evaluation of hydraulic fracturing using machine learning by Ali Akbari, Ali Karami, Yousef Kazemzadeh, Ali Ranjbar

“…Among the tested models, RF outperformed others by achieving the highest coefficient of determination (R2 = 0.9804), alongside the lowest Mean Absolute Deviation (MAD) and Root Mean Square Error (RMSE) for both training and testing phases. …”
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Improving a data mining based diagnostic support tool for rare diseases on the example of M. Fabry: Gender differences need to be taken into account. by Philipp Hahn, Werner Lechner, Rainer-Georg Siefen, Christina Lampe, Peter Nordbeck, Lorenz Grigull, Thomas Lücke

“…Variables influencing the performance of the AI were examined with linear regression and calculation of the coefficient of determination.<h4>Result</h4>We were able to show that a relatively small sample is sufficient to achieve a sensitivity of 88.12% for the presence of Fabry disease, taking into account gender-specific differences in the disease perception during the pre-diagnostic phase. …”
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Engaging Female Community Health Volunteers (FCHVs) for cardiovascular diseases risk screening in Nepal. by Lal B Rawal, Yuewen Sun, Padam K Dahal, Sushil C Baral, Sudeepa Khanal, Abriti Arjyal, Shraddha Manandhar, Abu S Abdullah

“…We explored the potential for engaging FCHVs for CVD risk screening at the community level in Nepal.<h4>Methods</h4>We used multiple approaches (quantitative and qualitative) for data collection. …”
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Influence of Aerodynamic Modeling Errors on the Dynamic Characteristics of a Missile by Qiang Li, Xiaming Yuan, Jihong Zhu

“…Common aerodynamic modeling methods are compared, the effects of longitudinal coefficient deviations on the linearized missile model are analyzed using a deviation test approach, and the results are validated through simulations. …”
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Imaging of pediatric great vessel stents: Computed tomography or magnetic resonance imaging? by A M den Harder, D Suchá, R W van Hamersvelt, R P J Budde, P A de Jong, A M R Schilham, C Bos, J M P J Breur, T Leiner

“…<h4>Material and methods</h4>Five different large vessel stents were evaluated in an in-vitro setting. …”
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Relationship between Dental Anxiety, Psychological Distress, and Oral Health Status among Adolescents in Bengaluru City: A Cross-sectional Study by S. S. Neethu, Manjunath P. Puranik, S. R. Uma

“…Materials and Methods: A cross-sectional study was conducted among 400 adolescents aged 13–15 years old in Bengaluru city. …”
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A convolutional neural network-based deep learning approach for predicting surface chloride concentration of concrete in marine tidal zones by Mohamed Abdellatief, Mahmoud E. Abd-Elmaboud, Mohamed Mortagi, Ahmed M. Saqr

“…Results demonstrated CNN’s superiority, achieving a coefficient of determination (R2) = 0.849 and a lower root mean square error (RMSE) = 0.18%, outperforming conventional models. …”
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Investigating the relationship between a sense of neighborhood belonging and social participation among Yazd residents: A cross-sectional study by Ameneh Marzban, Mohammad-Reza Rezaei, Nooshin Yoshany, Mahdiye Khaleghi Moori

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Forecasting malaria cases using climate variability in Sierra Leone by Saidu Wurie Jalloh, Boniface Malenje, Herbert Imboga, Mary H. Hodges

“…Results SARIMA offered reasonable predictive capabilities but was outperformed by the ANN, which captured complex temporal patterns more effectively, decreasing forecast errors and improving its coefficient of determination $$(R^2)$$ ( R 2 ) . The SARIMA model achieved an MAPE of 12.01%, which improved further to an MAPE of 11.45% with the inclusion of climatic variables. …”
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Psychometric assessment of the persian version of the study anxiety questionnaire in medical sciences students by Seyedmohammad Mirhosseini, Fatemeh Ameri, Hedie Rahmani, Hamid Sharif-Nia, Ghazal Fazel, Mahboobeh Khajeh, Hossein Ebrahimi

“…Convergent and discriminant validity were evaluated using the average variance extracted (AVE), maximum shared squared variance (MSV), composite reliability (CR) values and Heterotrait-Monotrait (HTMT) ratio. To determine reliability, internal consistency was assessed using Cronbach’s alpha and Macdonald’s omega coefficients, while stability was measured using the intraclass correlation coefficient. …”
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Correlation between death-coping self-efficacy and personality traits of intensive care unit nurses: a cross-sectional study by Wei-Wei Zhang, Li-Xia Zhong, Li-Na Yang, Li Fu

“…Multiple linear regression analysis showed that whether or not they had participated in palliative care education courses within 1 year (p = 0.022), the experience of accompanying the death of a family member (p < 0.001), their attitude towards death (p < 0.001), as well as rigour (p = 0.002), agreeableness (p < 0.001) and openness (p < 0.001) were important influencing factors of death-coping self-efficacy, with a model determination coefficient R 2 of 0.373 and an adjusted R 2 of 0.364. …”
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Analysis of Internal Quality Changes in Apples During Storage Using Near-Infrared Spectroscopy by Yande Liu, Siwei Lv, Xiaogang Jiang, Yeqing Lu, Bo Hu

“…To enhance the predictive accuracy of the model, several pretreatment methods were employed, including standardization, multiplicative scatter correction (MSC), and standard normal variate transformation (SNV). …”
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Spatial Clustering of Tuberculosis-HIV Coinfection in Ethiopia at Districts Level by Leta Lencha Gemechu, Legesse Kassa Debusho

“…Methods. District-level aggregated data on the number of TB-HIV infections were obtained from the Ethiopian Federal Ministry of Health for 2015 to 2018. …”
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The sports nutrition knowledge of large language model (LLM) artificial intelligence (AI) chatbots: An assessment of accuracy, completeness, clarity, quality of evidence, and test-... by Thomas P J Solomon, Matthew J Laye

“…<h4>Materials and methods</h4>Two experiments were conducted. In Experiment 1, chatbots were tested with simple and detailed prompts in two domains: Sports nutrition for training and Sports nutrition for racing. …”
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Upper Eyelid and Eyebrow Dimensions in Adult Filipinos by Elaine Marie Y. Omaña, MD, MHA, DPBO, Maria Suzanne A. Sabundayo-Tiu, MD, DPBO, Lourdes T Ang, MD, DPBO

“…Methods: This was a prospective, descriptive study involving 75 Filipino adults who were recruited from a single tertiary government hospital in the Philippines. …”
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Mortality from alcoholic cardiomyopathy: evidence and statistical problems by I. V. Samorodskaya, E. P. Kakorina, T. K. Chernyavskaya

“…To discuss the accounting and accuracy of the analysis of ACM mortality, including assessing the variability and changes of regional standardized mortality rates (SMR) for 2013-2021, as well as to conduct an analysis of Medical Certificate of Cause of Death (MCCD) and discuss the criteria for ACM as the underlying cause of death (UCD).Material and methods. Rosstat data on the average annual population and ACM death rate (I42.6) in 2013-2021 by region were analyzed. …”
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Intelligent wearable devices with audio collection capabilities to assess chronic obstructive pulmonary disease severity by Chunbo Zhang, Kunyao Yu, Zhe Jin, Yingcong Bao, Cheng Zhang, Jiping Liao, Guangfa Wang

“…A logistic regression model using the RR and blowing sounds as key predictors achieved accuracies of 0.77–0.89 in determining the GOLD grade, with a Cohen's kappa coefficient of 0.6757. …”
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PERFORMANCE PREDICTION OF ROADHEADERS USING SUPPORT VECTOR MACHINE (SVM), FIREFLY ALGORITHM (FA) AND BAT ALGORITHM (BA) by Arash Ebrahimabadi, Alireza Afradi

“…Additionally, this study employed Firefly Algorithm (FA), Bat Algorithm (BA) and Support Vector Machine (SVM), which were assessed using coefficient of determination (R²), root mean square error (RMSE), mean squared error (MSE) and mean absolute error (MAE).The obtained results for Firefly Algorithm (FA) are found to be as R2 = 0.9104, RMSE = 0.0658, MSE= 0.0043 and MAE= 0.0039, for Bat Algorithm (BA) are found to be as R2 = 0.9421, RMSE = 0.0528, MSE= 0.0027 and MAE= 0.0024, and for Support Vector Machine (SVM) are found to be as R2 = 0.8795, RMSE = 0.0762, MSE= 0.0058 and MAE= 0.0052, respectively. …”
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Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms by Mana Alyami, Irfan Ullah, Furqan Ahmad, Hisham Alabduljabbar

“…The SVR-PSO hybrid model demonstrated superior performance, achieving the highest coefficient of determination (R2) value of 0.994, compared to SVR-FFA (0.964) and SVR-GWO (0.929). …”
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