Improved epigenetic age prediction models by combining sex chromosome and autosomal markers by Zhong Wan, Peter Henneman, Huub C. J. Hoefsloot, Ate D. Kloosterman, Pernette J. Verschure

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Intelligent irrigation strategy model for farmland using dung beetle optimization-random forest algorithms by Wenwen Hu, Yong Liu, Jun An, Shipu Xu, Zhiwen Zhou, Mingming An, Xiaokun Guo, Xiang Ma, Wenfei Jiang, Yunsheng Wang

“…This research provides valuable insights into agricultural meteorological data analysis and irrigation management, particularly for complex, multi-source data. …”
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Evaluating the operational and financial performance of Community-Based visiting nursing center for elderly with the balanced scorecard model by Ji Young Lim, Seong Kwang Kim

“…Pearson correlation and path analysis were performed using IBM AMOS 25.0. Model fit was evaluated using chi-square tests, Goodness of Fit Index (GFI), Tucker-Lewis Index (TLI), Comparative Fit Index (CFI), and Root Mean Square Error of Approximation (RMSEA). …”
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Psychometric properties of the Chinese version physical literacy assessment questionnaire among high school students in Gansu, China by Zilu Qu, Jiarun Wu, Yee Cheng Kueh, Dongqing Ye, Garry Kuan

“…Data analysis was conducted using Mplus 8.3 with the robust maximum likelihood (MLR) estimator. …”
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Realization of Music-Assisted Interactive Teaching System Based on Virtual Reality Technology by Yan Gao, Lin Gao

“…The experimental results show that, according to the statistical analysis of the data after the experiment, when the position changes in the virtual 3D music-assisted interactive teaching scene, it will be displayed in the plane layer, and the real-time coordinates of the virtual music-assisted interactive teaching scene displayed in HTML have case. …”
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When care hurts: parents’ experiences of caring for a child with epidermolysis bullosa by Elisabeth Daae, Kristin Billaud Feragen, Terje Naerland, Charlotte von der Lippe

“…Results The purpose of this study was to explore parental experiences of caring for a child with EB. Data were collected from semi-structured interviews, and analyzed through reflexive thematic analysis. …”
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Williams Syndrome and Agreement: The Case for Spanish Speakers by Antònia Llull Febrer, Lluís Barceló-Coblijn, Elga Cremades

“…This paper examines morphosyntactic agreement in gender and number within the spontaneous spoken discourse of Spanish-speaking adults with Williams syndrome (WS), compared to that of typically developing (TD) speakers. Data were collected through natural speech transcriptions from both WS and TD groups. …”
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Enhancing patient safety: identifying fall risks during patient transfers in operating rooms by Kübra Okuyucu

“…Their ages ranged from 28 to 39 years, with experience years in the operating room ranging from two to ten years. The data were analysed using a thematic analysis approach based on the grounded theory. …”
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Mapping of processes and risks in the digital transformation in metrology of ionizing radiation, a case study in X-rays air kerma calibration by Igor Fernando Modesto Garcia, Jeovana Santos Ferreira, Eric Matos Macedo, Marcos Vinicius Teixeira Navarro, José Guilherme Pereira Peixoto

“…It is also possible to estimate that artificial intelligence and automation can significantly reduce measurement risks, identification, and error in the analysis and use of calibration certificates.…”
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An Efficient Dynamic Modeling Technique for a Central Tie Rod Rotor by Jingze Liu, Qingguo Fei, Shaoqing Wu, Zhenhuan Tang, Sanfeng Liao, Dahai Zhang

“…Compared with the three-dimensional rotor model for a central tie rod rotor, an equivalent one-dimensional model can greatly improve the computational efficiency in rotor dynamics analysis with a certain accuracy. However, little research work can be found on improving the modeling accuracy of one-dimensional models using experimental data. …”
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A Dual-Branch Deep Learning Framework Combining Xception and ResNet for Accurate Lung and Colon Cancer Detection by Chandrasekar Venkatachalam, Priyanka Shah

“…Early detection significantly enhances survival rates, but traditional diagnostic methods, which rely on manual analysis of histopathological images, are labor-intensive, error-prone, and inconsistent. …”
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Comparison of Static and Dynamic Balance of Athletes of Different Sports in Conditions With and Without Posture Disturbances by Mostafa Shadkanlu Ostad, Ali Asghar Norasteh, Hamed Babagoltabar Samakoush

“…For measurement of postural perturbations or cognitive task, the countdown technique was used. Data were analyzed using Analysis of variance (ANOVA), Analysis of Covariance (ANCOVA), and paired t-test at a significance level of P≤0.05.  …”
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Twin Deficit Hypothesis and Reverse Causality: An Empirical Study on Turkish Economy by Meltem Duğru

“…For the budget deficit and current deficit data compiled as time series, cointegration analysis and the bound test based on the Autoregressive Distributed Lag model approach were applied. …”
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Machine Learning Algorithms in Predicting Prices in Volatile Cryptocurrency Markets by Miguel Jiménez-Carrión, Gustavo A. Flores-Fernandez

“…The methodology includes an exploratory data analysis, followed by designing and implementing machine learning (ML) algorithms, focusing on the Long Short-Term Memory (LSTM) neural network. …”
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A Differential Performance in the Ability Difference to Employ Test Wiseness Strategies According to Contemporary Measurement Theory by Waleed Khalid Abdulkareem Baban

“…This was done through factor analysis of the test items using Principal Components Analysis (PCA) for individuals' responses to the test items. …”
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Enhanced Brain Tumor Segmentation Using CBAM-Integrated Deep Learning and Area Quantification by Rafiqul Islam, Sazzad Hossain

“…The computed tumor areas offer quantifiable data for future investigation and clinical interpretation. …”
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The relationship between ethical procurement, corporate image and procurement efficiency in public sector procurement: A case of public entities in Bindura by Tendai Towo, Knowledge Jonasi

“…The analysis of data was carried out on the Statistical Package for Social Science (SPSS version 21) and involved the use of descriptive statistics, Pearson correlation and logistic regression analysis. …”
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Synergistic detection of E. coli using ultrathin film of functionalized graphene with impedance spectroscopy and machine learning by Amrit Kumar, Shweta Mishra, R. K. Gupta, V. Manjuladevi

“…Machine learning (ML) algorithms applied to raw impedance data improved detection precision and reliability, enabling automated and accurate analysis. …”
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ReactorNet based on machine learning framework to identify control rod position for real time monitoring in PWRs by Ahmed Omar, Mohamed K. Elhadad, Moamen G. El-Samrah, Tarek F. Nagla, Tamer Mekkawy

“…This framework outperforms Vision Transformers and ResNet50, achieving superior multi-class accuracy (97.5%) and reduced the mean absolute error (MAE) of regression. Test-Time Augmentation and cross-validation mitigate data limitations, ensuring robustness. …”
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Application of computational fluid dynamics (CFD) for optimal temperature sensor placement in a greenhouse equipped with a pad-fan cooling (PFC) system by Alireza Kalbasinia, Mehrnoosh Jafari, Ramin Kouhikamali, Morteza Sadeghi, Ali Nikbakht, Amir Tayefi

“…The primary objective of this study is to identify the optimal location for temperature sensor placement using Computational Fluid Dynamics (CFD) analysis. Air temperature data was utilized in this study, a key factor in plant growth, often regarded as one of the most significant. …”
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