Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data. by Nathan J Hostetter, Nicholas J Lunn, Evan S Richardson, Eric V Regehr, Sarah J Converse

“…We also detected cascading effects of large recruitment classes on population age structure, which created major shifts in age structure when these classes entered the population and then again when they reached prime breeding ages (10-15 years old). Overall, age-structured Jolly-Seber models provide a flexible means to investigate ecological and evolutionary processes that shape populations (e.g., via senescence, life expectancy, and lifetime reproductive success) while improving our ability to investigate population dynamics and forecast population changes from capture-recapture data.…”
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Social-geographic approaches to application of economic-mathematical modeling in predicting the place of Ukrainian farming economies in food market commoditization by Valeriy Rudenko, Vasyl Hryhorkiv, Myroslav Zaiachuk, Sviatoslav Ishchenko

“…Application of predictive linear models shows that the share of production manufactured by farming economies will be most essential before 2020 on the market of potatoes and vegetables (reaching 15 %). …”
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Integrated Modeling and Optimal Operation Strategy of Building Cooling System Combining the Standardized Thermal Resistance and Genetic Algorithm by Liang Tian, Bohong Lai, Tianzhen Yang, Xingce Wang, Junhong Hao, Kaicheng Liu

“…This paper introduces the standardized thermal resistance to construct an overall heat current model of the building cooling system with coupled heat transfer, mass transfer, and energy conversion processes. …”
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RADAR#: An Ensemble Approach for Radicalization Detection in Arabic Social Media Using Hybrid Deep Learning and Transformer Models by Emad M. Al-Shawakfa, Anas M. R. Alsobeh, Sahar Omari, Amani Shatnawi

“…RADAR#, a deep ensemble approach for the detection of radicalization in Arabic tweets, is introduced in this paper. Our model combines a hybrid CNN-Bi-LSTM framework with a top Arabic transformer model (AraBERT) through a weighted ensemble strategy. …”
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A Novel Permeability–Tortuosity–Porosity Model for Evolving Pore Space and Mineral-Induced Clogging in Porous Medium by Wenran Cao, Guanxi Yan, Harald Hofmann, Alexander Scheuermann

“…The model’s predictions provide detailed insights into the evolution of the pore matrix during hydrogeochemical reactions and support the development of regional engineering-scale models for applications in mining, agriculture, and environmental management.…”
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Simulating the Evolution of Fluid Underpressures in the Great Plains, by Incorporation of Tectonic Uplift and Tilting, with a Groundwater Flow Model by Amjad M. J. Umari, Philip H. Nelson, Chris Fridrich, Gary D. LeCain

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Short-term inbound rail transit passenger flow prediction based on BILSTM model and influence factor analysis by Qianru Qi, Rongjun Cheng, Hongxia Ge

“…Through comparison and analysis with various evaluation indicators and other deep learning models, the results show that the R2 score of the BILSTM model considering influencing factors reaches 0.968, and the MAE value of the BILSTM model without adding influencing factors decreases by 45.61%.…”
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Assessing the impact of climate on mackerel (Scomber japonicus) quality during vehicle transportation: A transportation modeling approach by Seul‐Ki Park, Su‐Jeong Lee, Sung‐Hwan Eom, Kyung Tae Kim, Young‐Sun Lee, Eun‐Song Kim, Sung Bum Son, Won Je Jang, Kee‐Jai Park, Eun‐Woo Lee

“…Assessing the fish freshness and quality during these processes, before it reaches consumers, is crucial. …”
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A distributed modeling approach to water balance implications from changing land cover dynamics in permafrost environments by Naveed Ahmed, Haishen Lu, Zhongbo Yu, Oluwafemi E. Adeyeri, Muhammad Shahid Iqbal, Jinbin Su

“…Three distinct scenarios were developed in the Soil and Water Assessment Tool (SWAT) to model the effects of land cover change (LCC) on various water balance components. …”
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Data Mining–Based Model for Computer-Aided Diagnosis of Autism and Gelotophobia: Mixed Methods Deep Learning Approach by Mohamed Eldawansy, Hazem El Bakry, Samaa M Shohieb

“…In cases where facial cues were ambiguous, the GELOPH<15> questionnaire, consisting of 15 items, was administered to confirm the diagnosis The system was fully implemented using the Python programming language. Deep learning models were developed using libraries such as PyTorch for training the multilayer perceptron classifier, while CUDA was used to accelerate computations on compatible graphics processing units. …”
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A hybrid machine learning model with attention mechanism and multidimensional multivariate feature coding for essential gene prediction by Wu Yan, Fu Yu, Li Tan, Li Mengshan, Xie Xiaojun, Zhou Weihong, Sheng Sheng, Wang Jun, Wu Fu-an

“…Additionally, the cross-species predictive performance of the model was evaluated through cross-validation. The results indicated that the sensitivity of the EGP Hybrid-ML model reached 0.9122. …”
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Revealing effect of oxide scale on decarburization behaviour of 55Cr3 spring steel: Experimental and modelling research by Zhaoqi Song, Haitao Zhao, Kaixun Wang, Junheng Gao, Chengming Wang, Xiaoqian Yang, Honghui Wu, Yuhe Huang, Chaolei Zhang, Jun Lu, Shuize Wang, Xinping Mao

“…This study investigates the oxidation-coupled decarburization mechanisms in 55Cr3 spring steel through integrated experimental characterization and numerical modelling. Isothermal decarburization tests demonstrate decarburization ferrite continues to exist with temperature increasing until 800 °C, and reaches the maximum thickness (54 μm) at 750 °C. …”
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Developing an Uncrewed Aerial Vehicle (UAV)-Based Prediction Model for the Rice Harvest Index Using Machine Learning by Zhaoyang Pan, Zhanhua Lu, Liting Zhang, Wei Liu, Xiaofei Wang, Shiguang Wang, Hao Chen, Haoxiang Wu, Weicheng Xu, Youqiang Fu, Xiuying He

“…Based on the above characteristics, this study used a variety of machine learning algorithms to construct a harvest index prediction model. The results showed that the Stacking model performed best in predicting the harvest index (R² reached 0.88) and had a high prediction accuracy. (4) Conclusions: Therefore, the harvest index can be accurately predicted during rice growth through UAV remote sensing images and machine learning technology. …”
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Psychological distress in adolescence and later economic and health outcomes in the United States population: A retrospective and modeling study. by Nathaniel Z Counts, Noemi Kreif, Timothy B Creedon, David E Bloom

“…We used these results to model the labor market impacts of a hypothetical policy that expanded access to mental health preventive care and reached 10% of youth who would have otherwise developed clinically significant psychological distress. …”
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Spatio-temporal analysis of urban expansion and land use dynamics using google earth engine and predictive models by Ang Zhang, Aqil Tariq, Abdul Quddoos, Iram Naz, Rana Waqar Aslam, Elgar Barboza, Sajid Ullah, M. Abdullah-Al-Wadud

“…The study presents an effective analytical method integrating cloud processing, GIS, and change simulation modeling to evaluate urban growth spatiotemporal patterns and LULC changes. …”
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Pioneering the IBD specialist nurse role in China: a shared decision-making model for clinical practice innovation by Shuyan Li, Zijun Ni, Yan Ma, Yan Chen, Hongling Sun, Jingfen Jin, Jingfen Jin, Jingfen Jin

“…This initiative defined the organizational structure, selection criteria and processes, role functions, core competencies, and training and assessment standards for the position. …”
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A Participatory Governance Model for Comprehensive Conservation of Historical Buildings and Urban Fabric: A Grounded Theory Approach by Somayyeh Ghadimzadeh, Elnaz Abizadeh, Mahdiyeh Rahnemay Toori

“…Implementing this model can facilitate processes related to the conservation, restoration, and revitalization of historical-cultural assets, while developing cooperative patterns to address issues related to cultural heritage in the country. …”
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Assessment of Aerodynamic Performance of Darrieus H-Rotor Wind Turbine Using Realizable k–ε Turbulence Model Approach by Rizki Mendung Ariefianto, Elyas Nur Fridayana, Wisnu Wardhana

“…Nonetheless, the Realizable k–ε turbulence model fails to enable the Darrieus H-Rotor Wind Turbine to achieve positive Cm values across the entire azimuthal angle at lower tip speed ratios, thus not reaching effective self-starting conditions.…”
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Surface defect detection model of laser cutting polycrystalline cubic boron nitride tool based on asymptotic fusion strategy by Anfu Zhu, Jiaxiao Xie, Heng Guo, Jie Wang, Zilong Guo, Lei Xu, SiXin Zhu, Zhanping Yang, Bin Wang

“…The experimental results based on the self-constructed laser-cutting polycrystalline cubic boron nitride tool surface defects dataset show that the average accuracy of the AFFS-YOLO model is improved by 5.6% compared with that of the YOLOv5 model, reaching 86.1%, and the detection effect is better than that of the original network and other classical target detection networks.…”
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Manajemen media sosial (studi kasus pada akun Instagram @kemendag) by Mas’ud Hamdani Bin Rohmad, Suranto Aw

“…Meanwhile, in the data analysis process, the Miles and Hubberman analysis model. Based on research conducted using four aspects in The Circular Model of SOME theory put forward by Regina Luttrell namely share, optimize, manage and engage, it can be explained that if the share aspect is shared, the Social Media Team carries out many activities that support the process of sharing posts including conducting research audience, building characteristics, to create a system that is able to increase connectivity with the audience. …”
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