Changes toward sustainability in consumer purchasing behaviour of everyday products by Irena Baláková, Michal Pšurný, Jana Stávková, Veronika Švecová

“…The first determinant (Product Features) indicates that an individual's rational behaviour is related to sustainability. These variables relate to product quality, nutritional composition, origin, health benefits, and product breadth. …”
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Optimization of Drying Parameters for Total Phenolic Content of Papaya Using Response Surface Methodology by Ferdusee Akter, Shireen Akther, Afroza Sultana, Md. Motiur Rahman, Ujjwal Kumar Deb

“…In order to fit the experimental data, a quadratic polynomial model is created for the output variable, and an analysis of variance is carried out to determine whether or not the model is compatible to determine the optimal drying conditions. …”
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INFLUENCE OF CODE OF POINT CHANGE ON INDIVIDUAL RHYTHMIC GYMNASTICS PERFORMANCE by Rebecca M. Freire-Maceiras, Elena Sierra- Palmeiro, María A Fernández-Villarino

“…The main conclusion is the need to change the routine composition and training model and to optimise the judges' evaluation parameters. …”
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Prediction of Changes in the Tax Burden of Land Plots with the Use of Multivariate Statistical Analysis Methods by Krzysztof Dmytrów, Sebastian Gnat

“…They were the explanatory variables in the logistic regression model. Next, for the test set, changes of tax burden were forecasted. …”
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Providing a Roadmap for the Adaption of Agricultural Sector to Water Scarcity Conditions (Case Study: Selected Crops of Tajan Basin, Iran) by H. Fouladi, H. Amirnejad, S. Shirzadi Laskookalayeh

“…The model must also include decision variables that affect those objectives, and constraints that limit what user can do. …”
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Sex disparities in hepatocellular carcinoma immunotherapy: hormonal and genetic influences on treatment efficacy by Lei Song, Liyan Sun, Yuning Ren, Yuning Ren, Xiaodan Wang, Xiaodan Wang, Lei Xian

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Analysis of scattered supernatant patterns in Tehran urban complex Emphasizing on the approaches of the urban management system by Sogand Yousefi azarabarghani, Hamid Majedi, Zahra Sadat Saeideh Zarabadi

“…In order to achieve the objectives of the study, three types of measurement models were used depending on the subject and variables of the study. …”
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A Calculus of Evolving Objects by M. Dezani-Ciancaglini, P. Giannini, O. Nierstrasz

“…Variables may be dynamically bound, making it possible to model a variety of dynamic mechanisms within the same calculus. …”
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A flavoromics approach to investigate the effect of Saskatoon berry powder on the sensory attributes, acceptability, volatile components, and electronic nose responses of a low-fat... by Donna Ryland, John Thoroski, Shiva Shariati-Ievari, April McElrea, Alexandre Goertzen, Geraldine M. Dowling, Geraldine M. Dowling, Geraldine M. Dowling, Michel Aliani

“…The exposure of Saskatoon berry powder (SBP), PY, and SBY to e-nose sensors showed consistencies in replicate analysis (n = 25 measurements/sample), and cross validation of the PCA showed that the model could sort samples into the correct class with 98.7% accuracy. …”
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¹H-NMR Spectroscopy and Chemometric Fingerprinting for the Authentication of Organic Extra Virgin Olive Oils by Silvana M. Azcarate, Maria P. Segura-Borrego, Rocío Ríos-Reina, Raquel M. Callejón

“…These findings align with known metabolic differences, where <i>Picual</i> oils generally exhibit higher polyphenol content, and a distinct fatty acid composition compared to <i>Hojiblanca</i>. The agreement between chemometric classification models and statistical tests supports the potential of ¹H-NMR for OEVOO authentication. …”
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Influence of wet and dry commercial diets on the oral microbiota of Yorkshire terriers by Corrin Wallis, Zack Ellerby, Gregory Amos, Lucy J. Holcombe

“…Subsequent mixed effects modelling revealed significant differences in the scores of two of these groupings indicating systematic differences in prevalences of their component taxa. …”
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Severe floods predictive ability: A proxy based probabilistic assessment of the Italian early warning system by Francesco Silvestro, Luca Molini, Fausto Guzzetti, Federico Schiavi, Fabio Castelli, Luca Ferraris

“…Abstract In compliance with the national legal framework, the regional offices (CFDs) of the Italian Civil Protection Department have the daily duty to issue warnings to the local population on the account of the weather and hydrology‐related impacts, predicted by forecast models and refined through their expertise and experience: this composite of objective (model) and subjective (analyst) assessments are both contributing to the actual colour‐coded warning system. …”
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Influence of co-blending fly ash and ceramic waste powder on the performance and microstructure of cementitious substrates under sulfate dry-wet cycle attack. by Xinyan Wang, Lu Zhang, Haizhou Li

“…This study examines the properties of cement-based materials incorporating composite additions of fly ash and ceramic waste powder (CWP) as supplementary cementitious materials (SCM). …”
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Fatigue Crack Propagation Analysis of Rail Surface Under Mixed Initial Crack Patterns by Jianhua Liu, Weiqi Yang, Zhongmei Wang

“…Crack propagation is primarily driven by model II and III composite crack propagation, with their expansion rates influenced by operating conditions. …”
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Machine learning based optimization of titanium electropolishing using artificial neural networks and Taguchi design in eco-friendly electrolytes by Hyun-Kyu Hwang, Seong-Jong Kim

“…To address data scarcity and improve the generalization performance of the model, Gaussian noise with a mean of 0 and a standard deviation of 0.05 was applied to the input variables to augment the dataset. …”
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Impurity rates detection for pepper harvesting based on YOLOv8n-Seg-ASB and random forest by Lijian Lu, Jin Lei, Chenming Cheng, Shiguo Wang, Chengfu Wang, Xinyan Qin

“…To address the inaccuracies and inefficiencies of pepper impurity rates detection caused by complex material compositions and variable harvesting environments, this paper proposes a detection technique based on deep and machine learning algorithms. …”
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Enhancing risk stratification in diabetic gastric cancer: muscle-fat ratio from photon-counting CT as a predictor of postoperative complications by Shuangxiang Lin, Yuchen Jin, Mengxi Xu, Shuyue Wang, Weisheng Yao, Jiaxing Wu, Xinhong Wang, Jianzhong Sun

“…Preoperative PCD-CT scans assessed body composition. Logistic regression models identified predictors of poor postoperative outcomes, defined by major postoperative complications. …”
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Numerical Investigation and Mold Optimization of the Automobile Coat Rack Compression Molding by Youmin Wang, Xiangli Li, He Sui

“…In order to have more accurate control over the compression molding of automobile coat rack, improve the quality of molding products, and achieve the goal of lightweight design, a novel mechanical model for the main two-layer composite structure of the coat rack is proposed. …”
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A Data Reconciliation-Based Method for Performance Estimation of Entrained-Flow Pulverized Coal Gasification by Yan Zhang, Kai Yue, Chang Yuan, Jiahao Xiang

“…By combining these models with thermodynamic equilibrium models, the modified R² of offline predicted syngas flow rate exceeds 0.92, and those of syngas compositions reach 0.72–0.85. …”
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Optimizing the Extraction, Identification, and Antioxidant Activity Analysis of Polyphenols from Carrot (Daucus carota L.) Preserve by Guowei LI, Yu SHI, Zhenghai ZHANG, Jingyi GE, Yanru JI, Jie SHI, Lianhui WEI, Qingli YANG, Yan DONG

“…Objective: To determine optimal extraction conditions for polyphenols from a carrot preserve and analyze their composition, compositional changes, and antioxidant activity. …”
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