Prediction of key biological processes from intercellular DNA damage differences through model-based fitting by Kensuke Otsuka, Kouki Uchinomiya, Yuki Yaguchi, Atsushi Shibata

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Key determinants in implementation processes: a systematic review using the Consolidated Framework for Implementation Research (CFIR) by Marin Schmitt, Maren Hawkins, Paul Florsheim

“…Abstract Background Contextual factors, or determinants, are commonly assessed in implementation studies due to their impact on the implementation process. While a substantial number of determinants have been identified, less research has examined the strength of their impact on the implementation process. …”
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Coastal Subsidence in Cape Canaveral, FL, and Surrounding Areas: Shallow Subsidence Induced by Natural and Anthropogenic Processes by Anurag Sharma, Shimon Wdowinski, Randall W. Parkinson

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Dispersion modeling of NOx from stacks of cracking furnaces of OLEFIN unit using AERMOD by Iman Jalali, Somayeh Tourani

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Gravity table and X-ray images as strategies for the processing and quality control of Physalis ixocarpa Brot. Ex Hornem seeds by Fernanda Mara Escolástico Santos, Júlia Martins Soares, José Enrique Espitia López, Samuel Gonçalves Ferreira dos Santos, Ítallo Jesus Silva, Laércio Junio da Silva

“…The objectives of this research were: (i) to investigate the potential of X-ray imaging as a method for evaluating the morphological characteristics of P. ixocarpa seeds and as a complementary approach to verifying the quality of seed lots processed by a gravity table; and (ii) to correlate the data obtained from radiographic images with the physiological potential of the seeds. …”
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Mixed Signals: interpreting mixing patterns of different soil bioturbation processes through luminescence and numerical modelling by W. M. van der Meij, S. Riedesel, S. Riedesel, T. Reimann

“…A first attempt to derive quantitative information from luminescence datasets through model calibration showed promising results but also highlighted gaps in the data that must be addressed before accurate, quantitative estimates of bioturbation rates and processes are possible.…”
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Experimental and Numerical Study on Dynamic Porosity of the Flow Layer During the Paddy Grain Convective Drying Process by Bin Li, Chuandong Liu, Zebao Li, Yuelang Liu, Haoping Zhang, Xuefeng Zhang, Cheng Lv, Zhiheng Zeng

“…The Conclusions provide an analysis method for dynamic change characteristic parameters and basic data for the dynamic change of porosity to reduce drying energy consumption, improve the drying power coefficient, and enhance drying quality.…”
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Uncovering the influence of nitridation on the dislocation density at atomistic scale in III-Nitrides MOCVD/MOVPE epitaxy process by P. K. Saxena, P. Srivastava, Anshika Srivastava, Anshu Saxena

“…The reported method provides access to information that is not obvious from the raw data alone. The growth morphology of AlN utilizing pre-nitridated silicon substrates was analyzed with respect to the mechanisms of defect formation in each deposited monolayer. …”
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A Comparative Study of Kinetic Reaction Schemes for the Isomerization Process of the C₆ Series by Diana K. Díaz-Cervantes, Arturo Elías-Domínguez, Ángel Castro-Agüero, Fernando Pérez-Villaseñor, Arturo Ortíz-Arroyo, Friné López-Medina, Eduardo López-López, Edith Osorio-de-la-Rosa

“…This study presents a comparative analysis of eight reaction schemes for the C₆ series isomerization process. It was demonstrated that incorporating rigorous chemical equilibrium information, based on experimental data, yields virtually identical results across all schemes, enabling a detailed analysis. …”
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Internalisation of the SDGs in the Western Brazilian Amazon: a qualitative study on continuing education processes and health vulnerability by Larissa Pereira de Moura, José Tomás Mateos, Frederyk Kluyvert Ryjkaard Barbosa e Silva, Herleis Maria de Almeida Chagas, Danúzia da Silva Rocha, Rozilaine Redi Lago, Montserrat Gea-Sánchez

“…This study explores training processes for the dissemination of the SDGs among primary healthcare professionals. …”
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Interpreting Pseudo-adiabatic Data: an Excel-based Approach to Kinetic Modeling for Thermal Hazard Evaluation by Kevin Antien, Gérard Vilain

“…This paper presents an innovative Excel-based tool designed for kinetic modeling and simulation of adiabatic runaway scenarios, utilizing data derived from Accelerating Rate Calorimeter (ARC) measurements. …”
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Research on the employment mobility patterns and driving factors of graduates from double first-class universities in the central China by Zilong Jiang, Zongyu Shao, Qiang Wang

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A proposal for analyzing the inflammatory and remodeling processes of mucosa in chronic rhinosinusitis with nasal polyposis through MRI by Débora de Carvalho Garcez, Miguel Soares Tepedino, Debora Petrungaro Migueis, Pedro Miño Vianna, Andrea Santos Dumont Costacurta, Elyzabeth Avvad Portari, Alexandre Malta da Costa Messeder, Richard Louis Voegels, Alexandre Coelho Boggi, Reginaldo Raimundo Fujita, Andrew Thamboo, Rogério Pezato

“…ADC values found in the most anterior portion of the polyps may be a marker for radiological phenotyping the remodeling process. This non-invasive analysis presented a high degree of agreement in the fibrosis and edema rating by two radiologists and the histological analysis was concordant with the MRI findings. …”
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Comparison of Rating-based and Inset Lexicon-based Labeling in Sentiment Analysis using SVM (Case Study: GoBiz Application Reviews on Google Play Store) by Hiliah Firda, Pacu Putra, Nabila Rizky Oktadini, Putri Eka Sevtiyuni, Allsela Meiriza

“…The analysis process includes data selection, text preprocessing, data transformation using TF-IDF, SVM implementation with 10-fold cross-validation, and result visualization through word clouds. …”
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Retrospective Multivariate Analysis of Data from Children with Suspected Appendicitis: A New Tool for Diagnosis by Zafer Dokumcu, Bade Toker Kurtmen, Emre Divarci, Petek Bayindir Tamay, Timur Kose, Murat Sezak, Geylani Ozok, Orkan Ergun, Ahmet Celik

“…Various diagnostic scoring systems exist, but their sensitivity and specificity rates are far from ideal. In this study, the determination of the predictors and the effect of radiological data and developing a new scoring system were aimed. …”
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Comprehensive analysis of lncRNAs and mRNAs revealed potential participants in the process of avian reovirus infection by Shaqiu Zhang, Shaqiu Zhang, Shaqiu Zhang, Shaqiu Zhang, Jinkang Li, Mingshu Wang, Mingshu Wang, Mingshu Wang, Mingshu Wang, Renyong Jia, Renyong Jia, Renyong Jia, Renyong Jia, Shun Chen, Shun Chen, Shun Chen, Shun Chen, Mafeng Liu, Mafeng Liu, Mafeng Liu, Mafeng Liu, Dekang Zhu, Dekang Zhu, Dekang Zhu, Dekang Zhu, Xinxin Zhao, Xinxin Zhao, Xinxin Zhao, Xinxin Zhao, Ying Wu, Ying Wu, Ying Wu, Ying Wu, Qiao Yang, Qiao Yang, Qiao Yang, Qiao Yang, Juan Huang, Juan Huang, Juan Huang, Juan Huang, Xumin Ou, Xumin Ou, Xumin Ou, Xumin Ou, Di Sun, Di Sun, Di Sun, Di Sun, Bin Tian, Bin Tian, Bin Tian, Bin Tian, Yu He, Yu He, Yu He, Yu He, Zhen Wu, Zhen Wu, Zhen Wu, Zhen Wu, Anchun Cheng, Anchun Cheng, Anchun Cheng, Anchun Cheng

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Attribute encryption access control method of high dimensional medical data based on fuzzy algorithm. by Yonggang Huang, Teng Teng, Yuanyuan Li, Minghao Zhang

“…The maximum encryption time was reduced by 21ms, and the anti-attack success rate was high during the application process. From the comparison of the maximum success rates, it can be seen that the success rate of this method in resisting attacks has increased by 8.5%.…”
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Scalar-on-Function Mode Estimation Using Entropy and Ergodic Properties of Functional Time Series Data by Mohammed B. Alamari, Fatimah A. Almulhim, Ibrahim M. Almanjahie, Salim Bouzebda, Ali Laksaci

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Convolutional neural networks-based red blood cell detection and tracking with automatic data generation by Kohei TOYAMA, Tomoki MIZUNO, Takuto ARAKI, Toru HYAKUTAKE

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A Data Imputation Approach for Missing Power Consumption Measurements in Water-Cooled Centrifugal Chillers by Sung Won Kim, Young Il Kim

“…In the process of collecting operational data for the performance analysis of water-cooled centrifugal chillers, missing values are inevitable due to various factors such as sensor errors, data transmission failures, and failure of the measurement system. …”
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