Designing model of place branding based on brand attachment (Kish Island case study) by khadigeh Ghaemmaghami Tabrizi, Asghar Moshabaki Esfahaniَ, Abdolah Naami, Naser Azad

“…Qualitative data were analyzed by Maxqda software. Using extracted Variables for designing the questionnaire and gathering data from tourism by Simple Random Sample and quantitative data analyzed by Structural Equation Modeling by SMART-PLS. …”
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A Hybrid Deep Learning Model for Link Dynamic Vehicle Count Forecasting with Bayesian Optimization by Chunguang He, Dianhai Wang, Yi Yu, Zhengyi Cai

“…This paper presents a hybrid deep learning method that combines the gated recurrent unit (GRU) neural network model with automatic hyperparameter tuning based on Bayesian optimization (BO) and the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) model. …”
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Modelling the factors associated with quality of life in women with osteoporosis: A cross-sectional study by Rahmatollah Moradzadeh, Maryam Zamanian, Maliheh Taheri

“…Final regression coefficients were obtained based on the total effects of estimations (decompositions of effects into direct, indirect and total effects) by structural equation model (SEM) analysis. …”
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Assessing the multi-scale predictive ability of ecosystem functional attributes for species distribution modelling. by Salvador Arenas-Castro, João Gonçalves, Paulo Alves, Domingo Alcaraz-Segura, João P Honrado

“…Here we describe a modelling framework to assess the predictive ability of EFAs as Essential Biodiversity Variables (EBVs) against traditional datasets (climate, land-cover) at several scales. …”
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Design of bond strength testing method of concrete layers for creating a material model by Marek Kříž, Michaela Frantová, Václav Wudi, Petr Štemberk

“… The need to determine the bond strength of concrete layers in structural modeling is quite frequent and often encounters a lack of relevant experimental data due to the large number of variables which affect the bond strength. …”
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Application of RSM- CCD methodology and image J. for modeling and optimization of orchid protocorm encapsulation by Zahra Mahdavi, Shirin Dianati Daylami, Ali Fadavi, Mandana Mahfeli

“…A device was designed to control the dripping of alginate for a given temperature in order to wrap the protocorm. The central composite design has been used to investigate the effect of encapsulation variables on the physical properties of orchid synthetic seed such as volume, sphericity Index (SI) and Concentricity Index (CI). …”
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Label dependency modeling in Multi-Label Naïve Bayes through input space expansion by PKA Chitra, Saravana Balaji Balasubramanian, Omar Khattab, Mhd Omar Al-Kadri

“…The innovation of improved multi-label Naïve Bayes (iMLNB) lies in its strategic expansion of the input space, which assimilates meta information derived from the label space, thereby engendering a composite input domain that encompasses both continuous and categorical variables. …”
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Landsat-observed changes in forest cover and attribution analysis over Northern China from 1996‒2020 by Xiaobang Liu, Shunlin Liang, Han Ma, Bing Li, Yufang Zhang, Yingying Li, Tao He, Guodong Zhang, Jianglei Xu, Changhao Xiong, Rui Ma, Wenfu Wu, Jiahua Teng

“…Using the Google Earth Engine platform, more than 40,000 images from Landsat-5, Landsat 7 and Landsat-8 were integrated, and the annual surface reflectance was normalized based on the multi-band least squares regression and maximum normalized difference vegetation index composite method. An ensemble learning model trained using high-resolution Gao-Fen 2 satellite imagery was used to generate the FFC long time-series product. …”
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TROLL 4.0: representing water and carbon fluxes, leaf phenology, and intraspecific trait variation in a mixed-species individual-based forest dynamics model – Part 2: Model evaluat... by S. Schmitt, S. Schmitt, S. Schmitt, F. J. Fischer, J. G. C. Ball, N. Barbier, M. Boisseaux, D. Bonal, B. Burban, X. Chen, G. Derroire, G. Derroire, G. Derroire, J. W. Lichstein, D. Nemetschek, N. Restrepo-Coupe, S. Saleska, G. Sellan, P. Verley, G. Vincent, C. Ziegler, J. Chave, I. Maréchaux

“…Here we evaluate the performance of TROLL 4.0 for two Amazonian sites with contrasting soil and climate properties. We assessed the model's ability to represent forest structure, composition, and dynamics using lidar-derived spatial distribution of top canopy height and forest inventories combined with information on plant functional traits. …”
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Promoting sustainable mobility: A multi-theoretical exploration of attitude-behavior dynamics and consumption value in electric vehicle adoption in India by Amit Kumar Gupta, Ashutosh Dash, Kirti Sharma

“…Confirmatory composite analysis (CCA) strengthens the model's reliability, reinforcing its contribution to environmental sustainability and cleaner mobility solutions.…”
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Association between composite dietary antioxidant index and Epstein–Barr virus infection in children aged 6–19 years in the United States: from the national health and nutrition ex... by Wei Cheng, Yunfei Wang, Nan Ding, Rutao Xie

“…Data on EBV results, CDAI, and several other essential variables were analyzed.ResultsCompared with that of individuals in Q3 (−1.627–−0.2727) in the multivariate weighted logistic regression model with full adjustment for confounding variables, the adjusted odds ratio (OR) for CDAI and EBV infection in those in Q1 (−6.613 − −2.9157), Q2 (−2.9158–−1.626), Q4 (−0.2728–1.7601), and Q5 (1.7602–21.419) was 1.41 (95% CI: 1.01–1.96, p = 0.043), 1.10 (95% CI: 0.84–1.45, p = 0.447), 1.14 (95% CI: 0.86–1.51, p = 0.343), and 1.41 (95% CI: 1.01–1.98, p = 0.044), respectively. …”
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Building electrical consumption patterns forecasting based on a novel hybrid deep learning model by Nasser Shahsavari-Pour, Azim Heydari, Farshid Keynia, Afef Fekih, Aylar Shahsavari-Pour

“…Specifically, the proposed model comprises three key components: (i) a mutual information-based feature selection method to identify the most significant input variables influencing energy consumption; (ii) a variational mode decomposition (VMD) approach to decompose the original energy consumption signal into intrinsic mode functions (IMFs), capturing relevant trends and eliminating noise; and (iii) a long short-term memory (LSTM) neural network to perform time-series forecasting of the target energy consumption values. …”
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A Novel Flexible Model for the Extraction of Features from Brain Signals in the Time-Frequency Domain by R. Heideklang, G. Ivanova

“…However, the data typically exhibit intra- and interindividual variability. Existing algorithms often do not take into account this variability, for instance by using fixed frequency bands. …”
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Assessing the developmental effects of fentanyl and impacts on lipidomic profiling using neural stem cell models by Cheng Wang, Jinchun Sun, Rohini Donakonda, Richard Beger, Leah E. Latham, Leihong Wu, Shuliang Liu, Joseph P. Hanig, Fang Liu

“…In the present study, commercially available human neural stem cells (NSCs) were used to model the effects of fentanyl on the developing human brain. …”
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Optimization of the methanolysis of lard oil in the production of biodiesel with response surface methodology by Chinyere B. Ezekannagha, Callistus N. Ude, Okechukwu D. Onukwuli

“…A total of 30 individual experiments were conducted and designed to study these process variables. A statistical model predicted that the highest conversion yield of lard biodiesel would be 96.2% at the following optimized reaction conditions: reaction temperature of 65 °C, catalyst amount of 1.25%, time of 40 min, methanol to oil molar ratio of 6:1 at 250 rpm. …”
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Application of response surface methodology (RSM) for experimental optimization in biogenic silica extraction from rice husk and straw ash by Yigezu Temesgen Zewide, Temesgen Atnafu Yemata, Adane Adugna Ayalew, Hawi Jihad Kedir, Asab Alemneh Tadesse, Asmarech Yeshaneh Fekad, Alemayehu Keflu Shibesh, Fentahun Adamu Getie, Tegen Dagnew Tessema, Tessera Alemneh Wubieneh, Wondmagegn Wonago Kululo, Muluken Tilahun Mihiret

“…The effects of three independent ash digestion process factors like sodium hydroxide concentration (1–3 M), temperature (60–120 °C) and time (1–3 h), for silica production from the mixture of rice husk (RH) and rice straw (RS) were studied. A quadratic model was used to correlate the interaction effects of the independent variables for maximum silica production at the optimum process parameters by employing central composite design (CCD) with RSM. …”
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Chaotic billiards optimized hybrid transformer and XGBoost model for robust and sustainable time series forecasting by Reham H. Mohammed, Asmaa Mohamed El-saieed

“…The model forecasts wind speed values on an hourly basis, up to 24 h ahead. …”
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A new Maxwell model and its application in researching the compressive creep properties of recombinant bamboo. by Shanshan Shen, Qifeng Gao, Xiaolin Gong, Songsong Sun, Jiahong Fu

“…The main conclusion drawn from the research is that, compared with traditional commonly used models (Kelvin and Burgers), the newly proposed Maxwell model, which is based on the theory of the variable-order fractional derivative, can more accurately simulate the compressive strain creep growth property with relatively fewer parameters, and the stress level effect on the main model parameters can be accurately determined, which makes this approach valuable for actual engineering applications.…”
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Perception level among clinical officers’ students on the effectiveness of simulation models in the Department of Clinical Medicine by B. K. Wamalwa

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Fast climate impact emulation for global temperature scenarios with the rapid impact model emulator (RIME) by Edward Byers, Michaela Werning, Mahé Perrette, Niklas Schwind, Volker Krey, Keywan Riahi, Carl-Friedrich Schleussner

“…Climate model emulation has long been applied to assess the global climate outcomes of integrated assessment model (IAM) emissions scenarios, but is typically limited to first-order climate variables like mean surface air temperatures at limited regional resolution. …”
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