Modeling of Spray Combustion and Heat Transfer of MMH/N₂O₄ in a Small Rocket Engine Using Different Mechanisms by Ting Zhao, Jianguo Xu, Yuanding Wang

“…In contrast, the proposed model enabled the accurate prediction of the chamber pressure, wall temperature, and thrust with an error of less than 10%. …”
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Phishing suspiciousness in older and younger adults: The role of executive functioning. by Brandon E Gavett, Rui Zhao, Samantha E John, Cara A Bussell, Jennifer R Roberts, Chuan Yue

“…Other predictors included age group (older vs. younger), sex, education, race, ethnicity, prior knowledge of phishing, prior susceptibility to phishing, and whether or not browsing behaviors were reportedly different in the laboratory setting versus at home. …”
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A hybrid approach to financial big data analysis using extended ensemble learning and optimized spark streaming by Muhammad Babar

“…The proposed architecture significantly enhances precision in predicting client behaviors, such as loan subscription decisions, and supports robust, scalable financial decision-making. …”
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Perceived norms, personal agency, and postpartum family planning intentions among first-time mothers age 15-24 years in Kinshasa: A cross-sectional analysis. by Anastasia J Gage, Francine E Wood, Pierre Z Akilimali

“…The results of multivariable linear regression models indicated that the PPFP intention index was predicted by description norms, perceptions of the larger community's approval of PPFP, normative expectations, perceived behavioral control, self-efficacy, and autonomy. …”
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A Mindlin-Based Improved Newmark Method for the Seismic Stability of Anchored Slopes with Group Anchor Effects by Xuegang Pan, Jinqing Jia, Shiyuan Ju

“…This improvement enhances the prediction of seismic displacement in slopes with multiple anchors. …”
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Habitat Fragmentation Affects Richness—A View Through a Metacommunity Lens by Jessica Marchesan, Jurek Kolasa

“…We suggest the patterns produced by the model represent null predictions and may be useful as a reference for a diversity of more specialized questions and predictions. …”
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Leveraging deep learning for the detection of socially desirable tendencies in personnel selection: A proof-of-concept. by Tony C Lee, Matthias Ziegler

“…We conducted a regression-based prediction task to train and evaluate Entrans, resulting in a promising performance (MSE = .07, RMSE = .27, ρ = .27). …”
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Optimal Design of Single-Cell Experiments within Temporally Fluctuating Environments by Zachary R. Fox, Gregor Neuert, Brian Munsky

“…Increasingly, computational models of complex stochastic biological systems are being used to understand and predict biological behaviors or to infer biological parameters. …”
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Using Digital Intelligence in Promoting Mechanism for Medical Care Insurance for Rare Diseases: Concepts and Applications by YANG Xinyu, ZHANG Yuzheng, WANG Shengfeng, GUO Wudong

“…Specifically, dynamic simulation models and big data analysis can make precise prediction of the demand for funding of medical care insurance. …”
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The Role of Intelligent Transport Systems and Smart Technologies in Urban Traffic Management in Polish Smart Cities by Ewa Puzio, Wojciech Drożdż, Maciej Kolon

“…A key contribution of the paper is the presentation of new proposals for improvements, such as the inclusion of behavioral data in traffic modeling, integration with GPS navigation, and dynamic emergency and public transport priority management. …”
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Multidisciplinary understanding of modifiable physical disability risk factors for health professionals: A scoping review protocol. by Derek Hanson, Stephen Samendinger, Edwin McCulley

“…Eligibility for inclusion include peer-reviewed primary research published in the English language and have established a relationship between a person-level measurable characteristic that is modifiable by changes in lifestyle behaviors and any of the commonly accepted terms used to categorize or describe physical disability.…”
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Classification of Lactate Level Using Resting-State EEG Measurements by Saad Abdulazeez Shaban, Osman Nuri Ucan, Adil Deniz Duru

“…The electroencephalography (EEG) signals have been used widely for studying the brain neural information dynamics and behaviors along with the developing impact of using the machine and deep learning techniques. …”
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Using an ordinary differential equation model to separate rest and task signals in fMRI by Amrit Kashyap, Eloy Geenjaar, Patrik Bey, Kiret Dhindsa, Katharina Glomb, Sergey Plis, Shella Keilholz, Petra Ritter

“…Thus, this study is an important milestone in the development of the fMRI equation - to causally link large-scale brain activity, brain structural connectivity, and behavioral variables within a single framework.…”
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The Value of Learning about Natural History in Biodiversity Markets. by Douglas J Bruggeman

“…I use an individually-based, spatially-explicit population model for the Red-cockaded Woodpecker (Picoides borealis) to predict spatial- and temporal- influences of landscape change on species occurrence and genetic diversity. …”
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Assessment of Nutrients Intake and Dietary Consumption Patterns among Autistic Children in Gaza City, Palestine by Rose A. Qishawi, Mai Ramadan, Sameer Radi

“…Statistically significant relations between nutritional inadequacy, anemia, and serum zinc level were found with economic status and eating behaviors. Autistics in the Gaza Strip have several medical and nutritional problems. …”
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Barriers to Patient Portal Adoption Among a Bilingual Patient Population by Analysis of Survey Findings from English- and Spanish-Speaking Patients: Information Needs Study by Jiahua Yang, Michael Mackert, Daniela De Luca, Sophia Annette Dove

“…A logistic regression revealed that patients with more positive attitudes and higher perceived behavioral control are more likely to sign up and use the patient portal (Nagelkerke R2PP ConclusionsUnderstanding language preference differences while predicting portal use based on attitudes and perceptions empowers patients to have a more meaningful experience with their physician, potentially overcoming low health literacy–related barriers.…”
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Passive social media use and depression among college students during public health emergencies: a chain mediation approach by Lin Wang, Shuhe Li, Yajing Liu, Lu Cheng

“…However, passive social media use significantly predicted depression through partial mediation by vicarious traumatization and FoMO. …”
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Student Gender and Support by Compassion International Influences Achievement Goal Orientation among Adolescents in South-western Uganda. by Ndyareeba, Eunice, Zanna, Clay, Biirah, Judith, Kasawo, Henry Kibedi

“…The adoption of achievement goal orientation is a crucial factor in shaping an individual's attitudes and behaviors toward learning. The aim of this study was to investigate the impact of gender and support from Compassion International on the adoption of achievement goal orientation (AGO). …”
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Topological dynamics and correspondences in composite exceptional rings by Zhoutao Lei, Yuangang Deng

“…Moreover, Chern numbers predict mode transfer during dynamical encircling. …”
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The Impact of Artificial Intelligence on Tourism Industry: A Marketing Perspective by Barbara Olga Antczak

“…By leveraging AI, tourism marketers can analyze vast amounts of data to identify trends, personalize marketing efforts, and predict tourist behaviors. AI applications, such as chatbots, virtual assistants, and recommendation systems, provide personalized experiences, improving customer satisfaction and loyalty. …”
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