Statistical Modeling of Environmental Factors on Microbial Urea Hydrolysis Process for Biocement Production by Hamed Khodadadi Tirkolaei, Huriye Bilsel

“…Variation in conductivity of the solution versus logarithmic scale of time was depicted as microbial ureolysis characteristic curve (MUCC) through which lag duration, specific rate, and potential of urea hydrolysis at each condition were obtained. Central composite face-centered (CCF) design, which is one of the response surface methodologies, was employed to statistically fit polynomial models explaining the bacterial growth and the characteristics obtained from MUCCs in terms of the environmental factors and their interactions. …”
Get full text

Recent advances in studying natural bioactive polysaccharides with in vitro gastrointestinal digestion models by Jing-Ya Zeng, Xu Yang, Jian-Hui Xiao, Yan Yang, Mi-shuai Zhang, Ru-Ming Liu

“…It offers important insights for research on the health impacts of polysaccharides and suggests that future studies should aim to further optimize these models to enhance their application in biomedicine and functional foods. …”
Get full text

COBRAme: A computational framework for genome-scale models of metabolism and gene expression. by Colton J Lloyd, Ali Ebrahim, Laurence Yang, Zachary A King, Edward Catoiu, Edward J O'Brien, Joanne K Liu, Bernhard O Palsson

“…Genome-scale models of metabolism and macromolecular expression (ME-models) explicitly compute the optimal proteome composition of a growing cell. …”
Get full text

Rock Physics Modeling Studies on the Elastic and Anisotropic Properties of Organic-Rich Shale by Xiaoqiong Wang, Yueyue Sun, Jiaxin Song, Hongkui Ge

“…It is found that the error between the wave velocity results calculated from the model and measured in the laboratory is less than 10%, which means the model is reliable. …”
Get full text

Prediction of Propellant Electrostatic Sensitivity Based on Small-Sample Machine Learning Models by Fei Wang, Kai Cui, Jinxiang Liu, Wenhai He, Qiuyu Zhang, Weihai Zhang, Tianshuai Wang

“…A dataset comprising 18 experimental formulations was employed to train and evaluate six machine learning models. Among them, the Random Forest (RF) model achieved the highest predictive accuracy (R² = 0.9681), demonstrating a strong generalization capability through leave-one-out cross-validation. …”
Get full text

Mathematical Modelling and Optimisation of Low-Temperature Drying on Quality Aspects of Rough Rice by Shakeel Ahmed Soomro, Kunjie Chen, Sohail Ahmed Soomro

“…Acceptable values of R2, Adj R2, and nonsignificance of lack of fit demonstrated that the model applied was adequate and can be used for optimization. …”
Get full text

Harmonizer: A Universal Signal Tokenization Framework for Multimodal Large Language Models by Amin Amiri, Alireza Ghaffarnia, Nafiseh Ghaffar Nia, Dalei Wu, Yu Liang

“…We enhance features through STFT-based spectral decomposition, Hilbert transform analytic signal extraction, and SCLAHE spectrogram contrast optimization, and train using a composite loss function to produce reliable embeddings and construct a robust vector vocabulary. …”
Get full text

Optimization of Ultrasonic Extraction of Phenolic Compounds from Epimedium brevicornum Maxim Using Response Surface Methodology and Evaluation of Its Antioxidant Activities In Vitr... by Yan Zhao, Yingying Hou, Guosheng Tang, Enbo Cai, Shuangli Liu, He Yang, Lianxue Zhang, Shijie Wang

“…The ultrasound-assisted extraction of phenolic compounds from Epimedium brevicornu Maxim was modeled using response surface methodology. A Central Composite Design (CCD) was employed to optimize three extraction variables, including ethanol concentration (X1), extraction time (X2), and ratio of aqueous ethanol to raw material (X3), for the achievement of high extraction yield of the phenolic compounds. …”
Get full text

Response Surface Optimization of Cactus Pear (Opuntia ficus-indica) with Lantana camara (L. camara) Fruit Fermentation Process for Quality Wine Production by Zenebe Tadesse Tsegay, Solomon Mengistu Lemma

“…Wine quality responses were optimized at an experimental strategy developed using central composite rotatory design by varying fermentation process variable temperature, inoculum, and Lantana camara fruit juice concentration for six days. …”
Get full text

Optimal modes of side-section flow in heat-pump-assisted extractive distillation systems for separating allyl alcohol–allyl acetate mixtures with butyl propionate by P. S. Klauzner, D. G. Rudakov, E. A. Anokhina, A. V. Timoshenko

“…The local composition equation of the non-random two-liquid model was used as a model for describing the vapor–liquid equilibrium, while the Redlich–Kwong model was used to consider the non-ideal vapor phase. …”
Get full text

Optimization of a fermented pumpkin-based beverage to improve Lactobacillus mali survival and α-glucosidase inhibitory activity: A response surface methodology approach by W.Y. Koh, U. Uthumporn, A. Rosma, A.R. Irfan, Y.H. Park

“…The aim of this research was to develop an optimum fermentation and composition model for a new fermented pumpkin-based beverage with high probiotic survival and α-glucosidase inhibitory activity. …”
Get full text

Active learning for advanced biodegradable film design by Yi Gao, Chengcheng Liu, Yang Zhao, Peng Zhao, Feihui Chen, Qinghai Li, Yanguo Zhang, Bin Yang, Hui Zhou

“…Through six iterations with 186 data points for three-target optimization and seven iterations with 166 data points for two-target modeling, a data-driven platform was established to accurately predict CMC film properties based on composition and autonomously identify optimal formulations for specific performance targets. …”
Get full text

Research on Soft-Sensing Method Based on Adam-FCNN Inversion in <i>Pichia pastoris</i> Fermentation by Bo Wang, Wenyu Ma, Hui Jiang, Shaowen Huang

“…To address the challenges in modeling and optimization caused by nonlinear dynamic coupling and real-time measurement difficulties of key biological parameters in <i>Pichia pastoris</i> fermentation processes, this study proposes a soft-sensing method based on Adam-Fully Connected Neural Network inverse. …”
Get full text

Mechanical Modeling of the Premolar: Numerical Analysis of Stress Distribution Under Masticatory Forces by Marius Turnea, Cezar Mucileanu, Irina Duduca, Mariana Rotariu

“…This study explored the modeling of mandibular and dental components using advanced methods such as finite element analysis (FEA) and three-dimensional modeling. …”
Get full text

Investigating the Efficiency of Coffee Husks in Bio-Retention Model for Storm Water Treatment. by Musasizi, Joseph

“…The quality parameters of raw stormwater composite sample were determined before passing through the model and after passing through the model at different intervals i.e., at 0, 5, 10, 20 and 30 days after introducing the coffee husks into the model. …”
Get full text

Innovative Model for Material Selection Within the Automotive Lightweight Eco-Design Field by Edoardo Risaliti, Arcidiacono Gabriele, Francesco Del Pero, Paolo Citti

“…In particular, the outcomes of the case study analysis show that significant improvements are offered by the lightweight alternative both in terms of component weight, cost efficiency and carbon footprint, identifying low-alloy steels and aluminum composites as optimal materials for this specific application.…”
Get full text

Modelling and optimisation of the structural performance of lightweight polypropylene fibre-reinforced LECA concrete by Idris Ahmed Ja'e, Zakaria Che Muda, Mugahed Amran, Agusril Syamsir, Chiemela Victor Amaechi, Ebrahim Hamid Hussein Al-Qadami, Marco Antonio Díaz Huenchuan, Siva Avudaiappan

“…However, achieving an optimal balance between structural weight, and performance remains a challenging endeavour. …”
Get full text

Psychotherapist remarks’ ML classifier: insights from LLM and topic modeling application by Alexander Vanin, Vadim Bolshev, Anastasia Panfilova

“…The implementation involves constructing a vector space of therapist remarks, applying dimensionality reduction, clustering, and optimizing topic representations. To improve interpretability, expert assessment and manual refinement complement the automated modeling process. …”
Get full text

Optimization of lipase activity in Aspergillus niger C2J6 whole cells using choline chloride ethylene glycol deep eutectic solvent by Qingxiu Ma, Mingxiang Tang, Yinsong Wan, Mengzhen Zhang, Qian Mu, Haiyan Yan, Ya Liu

“…Mathematical models were developed to connect DES composition with key properties. …”
Get full text

Construction and application of near-infrared spectroscopy analysis model for peanut quality traits by Hairong CAI, Wenjing SONG, Jianben LIN, Jiawei LIU, Yuanyuan GUO, Bowen LI, Haiyang YANG, Jiayi LU, Hanfeng SHI, Jiankuan WANG, Fangming LI, Tao GUO

“…The single and composite preprocessing methods were compared to select the best model that performed optimally under this spectral preprocessing by comparing the determination coefficients (R2) and root mean square errors of calibration (RMSEC) of different models. …”
Get full text