Quantitative assessment of PINN inference on experimental data for gravity currents flows by Mickaël Delcey, Yoann Cheny, Jean Schneider, Simon Becker, Sébastien Kiesgen De Richter

“…In a PINN model, physical laws are embedded in the loss function of a neural network, such that the model fits the training data but is also constrained to reduce the residuals of the governing equations. …”
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Validation of the Bedtime Procrastination Scale Among Korean High School Students During the COVID-19 Pandemic by Jaeeun Song, Oli Ahmed, Taeyeop Lee

“…Results The CFA results indicated a strong model fit for the BPS (χ2/df=0.597, CFI=1.000, TLI=1.012, RMSEA=0.000, and SRMR=0.040). …”
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Joint Residence-Workplace Location Choice Model Based on Household Decision Behavior by Pengpeng Jiao, Tuo Sun, Jin Guo, Yangwei Li

“…Estimation results indicate that the joint choice model fits the data significantly better, and the elasticity effects analyses show that the joint choice model reflects the influences of relevant factors to the choice probability well and leads to the job-housing balance.…”
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Analysis of Influencing Factors of Drivers’ Fault Emergency Response Behavior in CMV-NCMV Crashes by Panyi Wei, Jianling Huang, Yanyan Chen, Jianming Ma, Yunchao Zhang, Shaohua Wang, Ning Chen

“…The results indicate that the model fits well. The presence of faulty emergency response behavior in drivers is significantly correlated with five factors: age, gender, fatigue driving, speeding, and weather conditions. …”
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Species abundance, urn models, and neutrality by Chave, Jerome

“…It is shown that the neutral models fit well empirical data for all but the few most abundant species (from 6 to 40 depending on the continent). …”
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The Application of the Logistic Equation Model to Predict the Remineralization Characteristics of Desensitizing Paste by Stanley Chibuzor Onwubu, Phumlane Selby Mdluli, Shenuka Singh, Obiora Cornelius Collins

“…A field emission scanning electron microscope (FESEM) and ImageJ software were used to observe and measure the % occluded ratio of the dentin surface. The model fittings for the three sample groups were carried out using the built-in MATLAB least-squares fitting routine fmincon in the optimization toolbox. …”
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Enterprises' effectiveness: A study on structure, focus, and enterprises' outcomes by Zlatković-Radaković Matea

“…All models of effectiveness have acceptable reliability and convergent validity, and discriminant validity of each model was established. Model fit measures indicate acceptable goodness-of-fit. …”
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Short-Term Prediction of Traffic State for a Rural Road Applying Ensemble Learning Process by Arash Rasaizadi, Seyedehsan Seyedabrishami, Mohammad Saniee Abadeh

“…As there are many influential features on traffic state, the genetic algorithm (GA) has been used to identify 25 of 32 features, which are the most influential on models’ fitness. Results show that the OL model as an ensemble learning model outperforms machine learning models, and its accuracy is equal to 80.03 percent. …”
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TITLE by Abdolhamid Papzan, Nashmil Afsharzade, Khadijeh Moradi

“…Empirical model ‘s goodness of fit indices indicated good model fit x2=1.047, df=2, probability 0.592; NFI= 0.981; CFI= 1.000; RMSEA=0.000). …”
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The imposter phenomenon in psychiatrists: relationships among compassion fatigue, burnout, and maladaptive perfectionism by Nur Nihal Türkel, Ahmet Selim Başaran, Hande Gazey, İrem Ekmekçi Ertek

“…A path analysis was used to test the relationships among study variables and assess model fit. Results A strong correlation was found between the imposter phenomenon and burnout and compassion fatigue when controlling age and months of work for both genders. …”
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Development and Validation of a Survey on Inclusive Judo: Judo Teachers’ Attitudes Towards Including Participants with Intellectual Developmental Disorders (J-TAID) by Gaston Descamps, Alain Massart, Terry Rizzo, Viktorija Pečnikar Oblak, Maria João Campos

“…The PCA and CFA identified a robust three-factor structure explaining 74% of the variance, with good model fit (RMSEA = 0.048, CFI = 0.978). Pearson correlations supported the TPB constructs. …”
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Solvent-Free Synthesis of Co-Based Zeolitic Imidazolate Framework (ZIF-9) for the Removal of Congo Red from Water by Khoa Dang Tran, Hoan Tuan Phan, Chi Thi Kim Nguyen, Bao Chi Nguyen, Ha Vu Le, Khoa Dang Nguyen

“…The adsorption process follows the pseudo-second-order kinetic model, indicating that the adsorption of the CR dye is primarily chemical adsorption. The Langmuir model fitted the experimental data with a maximum adsorption quantity of 248.22 mg/g. …”
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Psychometric evaluation and factor structure of the Persian coping strategies questionnaire in chronic low back pain patients by Sarvenaz Karimi-GhasemAbad, Behnam Akhbari, Mahyar Salavati, Saeed Talebian Moghaddam, Ahmad Saeedi, Mahsa Seydi, Mohammad Ali Shakoorianfard

“…Results: 13 variables, accounting for 74.94% of the total variance, were identified using EFA; based on Parallel Analysis, the first four components—ignoring pain sensations, praying, diverting attention, and catastrophizing—were kept. A sufficient model fit was not shown by the CFA results (χ²/df = 1.77, CFI = 0.884, TLI = 0.84, and RMSEA = 0.081). …”
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Flexible Reconfiguration for Optimal Operation of Distribution Network Under Renewable Generation and Load Uncertainty by Behzad Esmaeilnezhad, Hossein Amini, Reza Noroozian, Saeid Jalilzadeh

“…In this paper, a flexible, dynamic reconfiguration model is developed that enables a distribution network to minimize operating costs on an hourly basis. The model fitness function is to minimize the system costs, including power loss, voltage deviation, purchased power from the upstream network, renewable generation, and switching costs. …”
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Successful Aging: A Psychosocial Resources Model for Very Old Adults by G. Kevin Randall, Peter Martin, Mary Ann Johnson, Leonard W. Poon

“…The specified measurement model fit the data well at Time 1. However, at Time 2, Social Resources only had one indicator load significantly and substantively. …”
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Characterization of single reed mouthpiece interaction in quasi-static regime by Gazengel Bruno, Dalmont Jean-Pierre, Gaillard Amélie, Brasseur Emmanuel, Taillard Pierre-André

“…The characterization of 24 tenor saxophone reeds shows that the model fits the experimental characteristics with an inaccuracy that can be considered as a supplementary parameter for the reed. …”
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Statistical Damage Constitutive Model for Cemented Sand considering the Residual Strength and Initial Compaction Phase by Cai Tan, Ming-dao Yuan, Yong-sheng Shi, Bing-sheng Zhou, Hao Li

“…The results show that the calculated values by the damage constitutive model fit well with the actual experimental values and that the calculated results can reflect the stress softening, residual strength, and initial compaction characteristics of cemented sand, which shows the rationality and feasibility of the model.…”
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Development and validation of the Low Back Pain Questionnaire for Nurses (LBP-NS) in Indonesia: A structural equation modeling approach by Wirakhmi Ikit Netra, Kusuma Ikhwan Yuda, Haniyah Siti, Nurkholis Fiqih

“…The LBP-NS demonstrated robust psychometric properties, including good model fit (CFI = 0.929, RMSEA = 0.067) and strong reliability (Cronbach’s alpha: 0.677-0.887). …”
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Accuracy Enhancement for Forecasting Water Levels of Reservoirs and River Streams Using a Multiple-Input-Pattern Fuzzification Approach by Nariman Valizadeh, Ahmed El-Shafie, Majid Mirzaei, Hadi Galavi, Muhammad Mukhlisin, Othman Jaafar

“…This objective is accomplished by evaluating the model fitness and performance in daily forecasting.…”
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SEMbeddings: how to evaluate model misfit before data collection using large-language models by Tommaso Feraco, Enrico Toffalini

“…In this paper, we introduce a novel tool, which we label SEMbeddings.MethodsThis tool integrates mpnet-personality (a fine-tuned embedding model) with latent measurement models to assess model fit or misfit prior to data collection. To support our statement, we apply SEMbeddings to the 96 items of the VIA-IS-P, which measures 24 different character strengths, using responses from 31,697 participants.ResultsOur analysis shows a significant, though not perfect, correlation (r = 0.67) between the cosine similarities of embeddings and empirical correlations among items. …”
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