Sukuk and Inflation Dynamics in Indonesia: A Time Series Linear Model Investigation by Laila M. Pimada, Titis Miranti

“…Employing a time series linear model (TSLM) with monthly data from January 2019 to March 2024, we investigate the relationship between sukuk outstanding and inflation (Consumer Price Index), controlling for industrial production, exchange rate, interest rate, and Composite Leading Indicator (CLI). …”
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Parametric LCA model for Ti6Al4V powder production by Christian Spreafico, Baris Ördek

“…This holistic, multi-variable optimization approach provides unprecedented, actionable insights by identifying optimal operational settings, not just sensitivities, for enhancing the sustainability of Ti6Al4V powder production, overcoming limitations of prior static or phase-specific parametric models.…”
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THE UTILIZATION OF STRUCTURAL EQUATION MODELLING TO DETERMINE CASUALITY ON CONSUMER DECISION OF E-WALLET by Hartati Hartati, Imelda Saluza, Iisnawati Iisnawati, Teguh Teguh

“…SEM provides the core capability of validating the validity and reliability of procedures such as Confirmatory Factor Analysis (CFA). by investigating the pattern of linkages between latent variables and showing them with route diagrams. This study employed 200 E-Wallet users in Palembang for modeling. with the criterion of having one of the E-Wallet programs on a smartphone and having used the application at least once. …”
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Analysing and modelling the impact of habitat fragmentation on species diversity: a macroecological perspective by Thomas Matthews

“…For example, the power model was by the far the best general SAR model for habitat islands. …”
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Multi-scale machine learning model predicts muscle and functional disease progression by Silvia S. Blemker, Lara Riem, Olivia DuCharme, Megan Pinette, Kathryn Eve Costanzo, Emma Weatherley, Jeff Statland, Stephen J. Tapscott, Leo H. Wang, Dennis W. W. Shaw, Xing Song, Doris Leung, Seth D. Friedman

“…A three-stage random forest model was developed to predict annualized changes in muscle composition and a functional outcome (timed up-and-go (TUG)). …”
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Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

“…Deep learning algorithms have shown remarkable capabilities in pattern recognition, feature extraction, and predictive modeling, enabling researchers to uncover hidden relationships within microbial ecosystems. …”
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Study on the coupled coordination of water resources consumption and economic development in Heilongjiang province under different scenarios based on SD model by Meiyun Tao, Youzhu Zhao, Qiuxiang Jiang, Zilong Wang, Baohan Li

“…First employed a system dynamics (SD) model to construct a coupled water resources-economy composite system for Heilongjiang Province. …”
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Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study by Shengyu Liu, Anran Wang, Xiaolei Xiu, Ming Zhong, Sizhu Wu

“…Previous studies have often focused on overall performance, neglecting specific challenges in medical contexts and the impact of macrofactors like lexical composition on prediction accuracy. These gaps hinder the development of optimized NER models for medical applications. …”
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Role of Age Hardening Heat Treatment on the Hardness Values of 93.95 Al-5 Zn-1.05 Sn/5 Al2o3- Sio2 Particulate Composite by Aondona P. Ihom

“…A model was developed for the relationship between age hardening time and hardness of the composite. …”
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Clinical characteristics, prognosis, and predictive modeling in class IV ± V lupus nephritis by Anjing Wang, Anjing Wang, Yunlong Qin, Yunlong Qin, Yan Xing, Zixian Yu, Liuyifei Huang, Jinguo Yuan, Yueqing Hui, Mei Han, Guoshuang Xu, Jin Zhao, Shiren Sun

“…Class IV and class IV+V patients have similar clinical manifestations, treatment strategies, and long-term prognosis, despite class IV having a higher chronic index (CI) score (P < 0.001). Seven eligible variables (eGFR, CI, age, basophil percentage, red blood cell count, mean arterial blood pressure, and uric acid) were selected to develop the random survival forest (RSF) model. …”
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Designing an entrepreneurial ecosystem model in a university with a knowledge-based approach by Nahid Mir, Amin Rahimi Kia, Mehry Daraei

“…The results in the qualitative part showed that 67 primary codes, 11 basic themes, and 5 constructive themes are identified in most infrastructure and support clusters (2 themes), integration of technology and knowledge (2 themes), education and culture (3 themes), policy and planning. (2 themes), and integrated management (2 themes); and relationships between them were drawn and presented in the form of a paradigmatic model. The results of the quantitative part showed that 5 indicators and 11 components with factor load, average extracted variance, and convergent validity are higher than (0.4), Cronbach's alpha coefficient and composite reliability are higher than (0.7), significant t coefficients is higher than (1.96); all were confirmed, and the model has a strong fit.ConclusionThe purpose of this research was to design an entrepreneurship ecosystem model in a university. …”
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Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning by Farhad Pourkamali-Anaraki, Jamal F. Husseini, Scott E. Stapleton

“…This paper investigates the use of probabilistic neural networks (PNNs) to model aleatoric uncertainty, which refers to the inherent variability in the input-output relationships of a system, often characterized by unequal variance or heteroscedasticity. …”
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An inter-hospital performance assessment model for evaluating hospitals performing hip arthroplasty by Fabian Dehanne, Magali Pirson, Etienne Cuvelier, Frédéric Bielen, Pol Leclercq, Benoît Libert, Maximilien Gourdin

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Aeromagnetic anomalies and structural model of the Chicxulub multiring impact crater, Yucatan, Mexico by Mario Rebolledo-Vieyra, Jaime Urrutia-Fucugauchi, Héctor López-Loera

“…A structural model of the Chicxulub crater is derived from aeromagnetic anomaly modeling, borehole information and magnetic mineral data. …”
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Quantitative control of interfacial structure and thermal conductivity between diamond and copper via thermal diffusion of alloying element by Yizhe Cao, Bo Li, Lei Liu, Shaolong Li, Dongxu Hui, Shaodi Wang, Huiying Liu, Xin Li, Xin Zhang, Shengyin Zhou, Shufeng Li

“…Furthermore, thermal diffusion of diamond/metal reaction is discussed based on theoretical models. We theoretically demonstrate that long thermal diffusion could enhance the thermal diffusivity for the composites and achieve ∼90.8% of theoretical thermal conductivity predicted by the Maxwell-Eucken model.…”
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MATHEMATICAL MODELS OF CREATION OF A SUBSYSTEM OF ENSURING SAFETY OF INFORMATION IN THE DISTRIBUTED INFORMATION SYSTEMS by D. O. Esikov, R. N. Akinshin, P. I. Abramov, L. E. Loutina

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Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage by V. Vasic, Milica, Awoyera, Paul O., Fadugba, Oladlu George, Barisic, Ivana, Nettinger Grubeša, Ivanka

“…Future work will focus on extending the dataset to include a wider variety of clay compositions and investigating hybrid modeling approaches to further improve predictive performance.…”
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Growing Land‐Sea Temperature Contrast and the Intensification of Arctic Cyclones by Jonathan J. Day, Kevin I. Hodges

“…In this study we perform composite analysis of Arctic cyclone statistics using AFZ variability as an analog for climate change. …”
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Dendrochronology and Isotope Chronology of <i>Juglans neotropica</i> and Its Response to El Niño-Related Rainfall Events in Tropical Highlands of Piura, Northern Peru by Tone Marie Ektvedt, Michael N. Evans, Donald A. Falk, Paul R. Sheppard

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Static Buckling and Free Vibration Analysis of Bi-Dimensional FG Metal Ceramic Porous Beam by Yasin Shabani, Pejman Mehdianfar, Korosh Khorshidi

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