The Application of Response Surface Methodology for Lead Ion Removal from Aqueous Solution Using Intercalated Tartrate-Mg-Al Layered Double Hydroxides by Yamin Yasin, Maszlin Mohamad, Faujan B. H. Ahmad

“…The experimental percentage removal recorded under optimum conditions was compared well with the maximum predicted value from the RSM, which suggest that Central Composite Rotatable Design of RSM can be used to study the removal of lead from aqueous solution by the use of tartrate-Mg-Al as an adsorbent.…”
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Combining K-Means Clustering and Random Forest to Evaluate the Gas Content of Coalbed Bed Methane Reservoirs by Jie Yu, Linqi Zhu, Ruibao Qin, Zhansong Zhang, Li Li, Tao Huang

“…Judging from the evaluation effect of the research block, the prediction accuracy of the new method is significantly higher than that of the original method, and more accurate gas content prediction values can be obtained for different types of reservoirs. …”
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Impact of transitioning from antibiotic use to antibiotic-free practices on broiler dead-on-arrival rates: A bayesian structural time series approach by Panneepa Sivapirunthep, Pranee Pirompud, Veerasak Punyapornwithaya, Supitchaya Srisawang, Chalita Jainonthee, Chanporn Chaosap

“…Bayesian structural time series (BSTS) analysis showed that observed %DOA closely matched predicted values, indicating no significant effect from the ABF transition (p = 0.485; posterior probability = 51 %). …”
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Performance analysis of advanced deep learning technics: Application to solar energy forecasting and management in several cities in Chad by Osée Mounkang, Claude Vidal Aloyem Kaze, Nzoko Tayo Dieudonné, Ghislain Junior Bangoup Ntegmi, Duclair Paul Edouard Pountounynyi, Hervice Roméo Fogno Fotso, Armel Zambou Kenfack, Germaine Kenmoe Djuidje, René Tchinda

“…Additionally, the predicted values were used to calculate the power output of a photovoltaic (PV) system, as well as its efficiency and the energy that could be stored. …”
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Morphology-based selective breeding strategy analysis for abdominal meat yield in Procambarus clarkii by Qishuai Wang, Qian Hu, Siqi Yang, Ruixue Shi, Feifei Zheng, Xiaolong Liu, Jiangfeng Huang, Yanhe Li

“…And the optimal prediction model constructed based on K value was a quadratic curve, with R2 values of 0.684 for males and 0.590 for females, and correlation coefficients of 0.827 and 0.768 between observed and predicted values for males and females, respectively. The results of the abdominal meat yield selective breeding experiment, utilizing the optimal prediction model, demonstrated that the breeding population exhibited favorable morphological variation as expected. …”
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The Study of Seed Germination and Seedling Growth of Balangu (Lallemantia royleana ‎‎(Benth.) Benth.in Wall) in Response to Temperature and Quantification of Cardinal ‎Temperatures... by محمدشاهین دانشمندی, Reza Tavakkol afshari, REZA SADRABADI HAGHIGHI

“…Germination responses and cardinal temperatures were evaluated using dent-like, segmented, beta and quadratic regression models and regression coefficients (a and b), correlation of determinant (R2), correlation coefficient (r), and significant level functions of predicted values versus observed ones were used to find the appropriate models. …”
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Enhancing rapid nitrogen freezer performance for Litchi fruit: a Taguchi-based approach to reduce cracking, time, and nitrogen consumption by Mohamed Anwer Abdeen, Zeyong Zheng, Xiaojin Cheng, Baiqing Yu, Chongyang Han, Yong Cao, Wenquan Huang, Ali Salem, Alaa Awny, Weibin Wu

“…Among the nozzle types, Full-cone nozzles exhibited superior performance, achieving reductions of more than 15% in crack ratio, over 8% in freezing time, and more than 4% in nitrogen consumption compared to Hollow-cone nozzles. The predicted values derived from the Taguchi method showed strong alignment with the experimental data, validating the robustness of the optimization approach. …”
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Extraction Optimization and Antioxidant Properties of African Eggplant (Solanum macrocarpon) Leaf Polyphenols by A. A. Famuwagun, K. A. Taiwo, S. O. Gbadamosi, D. J. Oyedele, R. E. Aluko, O. C. Adebooye

“…The study concludes that the experimental values compared closely with the predicted values, which indicates suitability of the model employed for polyphenol extraction optimization from dried S. macrocarpon leaves.…”
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Optimization and modeling of Zn2SnO4 sensitivity as gas sensor for detection benzene in the air by using the response surface methodology by Hassan Hosseinzadeh asl, Ghasem Tohidi, F. Movahedi, E. Hassannayebi

“…Comparison of the modeling results and the predicted values for the sensor sensitivity to benzene shows 97.60% excellent agreement.…”
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Formulation and optimization of upadacitinib-loaded transdermal patches for rheumatoid arthritis with zero-order release kinetics by Shubham Talole, Rahul Godge, Nikita Tambe, Nikita Mhase

“…The experimental values closely matched predicted values with less than 2% error. Accelerated stability studies confirmed minimal changes in critical parameters over six months. …”
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Accuracy of office hysteroscopy in the diagnosis of chronic endometritis by Mohamed Elmahdy Abdel Moneim, Amany Abdelbary Abdel Latif, Marwa Said Shehata, Ibrahim Abdel Latif Ghanem

“…The sensitivity, specificity, and positive and negative predictive values of hysteroscopy were 93.83%, 62.07%, 87.36% and 78.26% respectively. …”
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STATISTICAL OPTIMIZATION OF CULTIVATION CONDITIONS FOR SACCHAROMYCES BOULARDII VIA CENTRAL COMPOSITE DESIGN by Guowei Shu, Xin Yang, Li Chen, Dan Huang, Zhangteng Lei, He Chen

“…Under the optimized conditions, the maximal yeast count was (1.81±0.06)×108 CFU∙mL-1, which was in a good agreement with the predicted value of the model. This study has provided useful information on how to improve the viable cells of yeast cells for S. boulardii culture.…”
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Estimation of Surface Particulate Matter (PM2.5 and PM10) Mass Concentrations from Ceilometer Backscattered Profiles by Avinash N. Parde, Sachin D. Ghude, Prakash Pithani, Narendra G. Dhangar, Sandip Nivdange, Gopal Krishna, D. M. Lal, R. Jenamani, Pankaj Singh, Chinmay Jena, Ramakrishna Karumuri, P. D. Safai, D. M. Chate

“…Although local meteorological conditions, particularly cloudiness and rain, influenced the strength of the correlation between the observed PM2.5 and PM10 mass concentrations and the backscattered signal, the magnitude of the mean bias between the observed and the values for PM2.5 (−21 µg m−3, RMSE = 75) and PM10 (31 µg m−3, RMSE = 118) indicated that the predicted values were fairly accurate. The model overestimated the PM2.5 by 7% and underestimated the PM10 by 6% on clear days.…”
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Research on monthly runoff prediction model considering secondary decomposition of multiple fitness functions and deep learning by Zhongfeng Zhao, Xueni Wang, Hua Jin, Jie Zheng

“…Ultimately, a bidirectional long short-term memory (BiLSTM) network is employed to predict modal components and obtain the final predicted values. The monthly runoff sequence from the Dongpu Reservoir in Hefei City is utilized as a case study for validation. …”
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Green solvent extraction of health boosting phenolics from pigeon pea husk by Deepika Goswami, Manju Bala, D. Mridula, Rajesh Kumar Vishwakarma, P. N. Guru

“…These parameters yielded an impressive 9.67 ± 0.02% extract yield, 47.99 ± 0.60 mg GAE/g total phenolic content, and 51.24 ± 0.43% DPPH radical scavenging activity, closely aligning with predicted values. LC-MS (ESI-Q-TOF) metabolite profiling of the optimized extract revealed a rich presence of flavonoids, alkaloids, terpenoids, lignans, phenols, xanthones, and glycosides. …”
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Diagnostic Evaluation of Foreign Body Aspiration in Children by Ali Onur Erdem, Barlas Etensel, Mesut Yazıcı, Sezen Karaca Özkısacık

“…The sensitivity and specificity of the parameters used in the diagnosis of FBA and their predictive values were calculated.Results:78.9% of the patients were younger than 3 years and 63.8% were male. …”
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Influence of Post-Heat Treatment on the Tensile Strength and Microstructure of Metal Inert Gas Dissimilar Welded Joints by Van-Thuc Nguyen, Thanh Tan Nguyen, Van Huong Hoang, Tran Ngoc Thien, Duong Thi Kim Yen, Tri Ho Minh, Le Minh Tuan, Anh Tu Nguyen, Hoang Trong Nghia, Pham Quan Anh, Phan Quoc Bao, Van Thanh Tien Nguyen

“…The optimal welding parameters are a welding current of 105 A, a welding voltage of 14.5 V, a stickout of 12 mm, and a welding speed of 420 mm/min, producing the UTS value of 445.3 MPa, which is close to the predicted value of 469.2 ± 53.6 MPa. Post-heat treatment with an annealing temperature that is lower than 700 °C could improve the optimized weld joints’ strength by up to 5%. …”
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Routine Pulmonary Function Test Can Estimate the Extent of Tuberculous Destroyed Lung by Eun Joo Lee, Sang Yeub Lee, Kwang Ho In, Se Hwa Yoo, Eun Jeong Choi, Yu Whan Oh, Sanghoon Park

“…Absolute values of FEV1 and FVC were both negatively associated with DLS (r=-0.78, P=0.001, and r=-0.61, P=0.021). Percentage of predicted value of FEV1 and FVC were also negatively associated with DLS (r=-0.62, P=0.019, and r=-0.76, P=0.002). …”
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Experimental investigation of sustainable structural concrete incorporating completely recycled fine aggregate (CRFA): from material to structural levels by Yibo Yang, Yi Zhang, Baixi Chen, Wen Yang, Wenying Guo, Hengchang Wang

“…Structural testing under bending, axial, and eccentric compression reveals that RAC performs similarly to NAC and can be conservatively predicted by current design codes for NAC, with the ratios between experimental and predicted values exceeding 1.08. Furthermore, with 18.8% and 10.5% reductions in cost and carbon emissions, respectively, CRFA is an economical and sustainable alternative to river sand in structural applications.…”
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CLINICAL ASSESSMENT OF LIFE-THREATENING VENTRICULAR ARRHYTHMIA PREDICTORS IN PATIENTS WITH VENTRICULAR EXTRASYSTOLIA AND NO MORPHOLOGICAL HEART PATHOLOGY (A PROSPECTIVE STUDY) by A. I. Olesin, A. V. Koziy, E. V. Semenova, V. A. Litvinenko, A. V. Shabrov

“…In NCD patients with VE due to early post-depolarization and re-entry mechanisms, VE was a predictor of coronary heart disease (CHD) and arterial hypertension (AH), with positive predictive values (PPV), respectively, of 74% and 44%. …”
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