Effect of acid pretreatments with various acid types on gelling properties and identification characteristics of pigskin gelatin by Zi-Xuan Yang, Xiao-Mei Sha, Hui Wang, Ting Fang, Sheng Shu, Zong-Cai Tu

“…These common characteristic peptides could be used as the foundation for pigskin gelatin traceability, boosting accuracy.…”
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Using an SGB Decision Tree Approach to Estimate the Properties of CRM Made by Biomass Pretreated with Ionic Liquids by Ya-Qing Gu, Tao Shu, Bin Ge, Ping Wang, Chen Gao, Hamid Heydari

“…In this research, due to the wide range of applications and ease of using artificial intelligence procedures, on the basis of the algorithm of stochastic gradient boosting (SGB) decision tree, an artificial intelligence approach is proposed to estimate the properties of cellulose-rich materials (CRMs). …”
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Fractional synchrosqueezing transform for enhanced multicomponent signal separation by Yangyang Li, Dzati Athiar Ramli

“…In the signal reconstruction process, chirp multiplication and energy rearrangement compensate for chirp bases’ effects, boosting energy concentration and reconstruction potential. …”
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Novel intelligent adaptive sliding mode control for marine fuel cell system via hybrid algorithm by Shiyi Fang, Daifen Chen, Xinyu Fan

“…Results indicate that the newly developed control methodology significantly boosts both the efficiency and dependability of marine PEMFC stack.…”
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<i>Hovenia dulcis Thunb</i>. Honey Exerts Antiviral Effect Against Influenza A Virus Infection Through Mitochondrial Stress-Mediated Enhancement of Innate Immunity by Eun-Bin Kwon, Buyun Kim, Young-Eun Kim, Sung-Joon Na, Sang Mi Han, Soon Ok Woo, Hong Min Choi, Siwon Moon, Young Soo Kim, Jang-Gi Choi

“…The results suggest that HDH is a potential therapeutic agent inhibiting viral replication and boosting host antiviral immunity.…”
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Shapley additive explanation on machine learning predictions of fatigue lifetimes in piston aluminum alloys under different manufacturing and loading conditions by Mohammad Azadi, Mahmood Matin

“…Results illustrated that extreme gradient boosting (XGBoost) had superior data for estimations, with average training coefficients of determination of at least 63% and 90%, respectively for fatigue lifetime and its logarithmic value. …”
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Hot shape transformation: the role of PSar dehydration in stomatocyte morphogenesis by Remi Peters, Levy A. Charleston, Karinan van Eck, Teun van Berlo, Daniela A. Wilson

“…Polysarcosine emerges as a promising alternative to polyethylene glycol (PEG) in biomedical applications, boasting advantages in biocompatibility and degradability. …”
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The Use of Machine Learning Approaches for the Diagnosis of Acute Appendicitis by Omer F. Akmese, Gul Dogan, Hakan Kor, Hasan Erbay, Emre Demir

“…It was found that the gradient boosted trees algorithm achieves the best success with an accurate prediction success of 95.31%. …”
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High Step-Up ZVT Converter Based on Active Switched Coupled Inductors by Yu Tang, Haisheng Tong, Raheel Afzal, Yingjun Guo

“…To meet the requirements of high voltage boosting and high efficiency, a novel high step-up zero voltage transition (ZVT) DC/DC converter based on active switched-inductor (ASL) is proposed. …”
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Chaotic Behavior Analysis of a New Incommensurate Fractional-Order Hopfield Neural Network System by Nadjette Debbouche, Adel Ouannas, Iqbal M. Batiha, Giuseppe Grassi, Mohammed K. A. Kaabar, Hadi Jahanshahi, Ayman A. Aly, Awad M. Aljuaid

“…On the other hand, it has been detected that by adapting the corresponding controlled constants, such systems possess the so-called offset boosting of three variables. Besides, the resultant periodic and chaotic attractors can be scattered in several forms, including 1D line, 2D lattice, and 3D grid, and even in an arbitrary location of the phase space. …”
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Application of a data-driven XGBoost model for the prediction of COVID-19 in the USA: a time-series study by Wei Wu, Zheng-gang Fang, Shu-qin Yang, Cai-xia Lv, Shu-yi An

“…A comparison between the autoregressive integrated moving average (ARIMA) model and the eXtreme Gradient Boosting (XGBoost) model was conducted to determine which was more accurate for anticipating the occurrence of COVID-19 in the USA.Design Time-series study.Setting The USA was the setting for this study.Main outcome measures Three accuracy metrics, mean absolute error (MAE), root mean square error (RMSE) and mean absolute percentage error (MAPE), were applied to evaluate the performance of the two models.Results In our study, for the training set and the validation set, the MAE, RMSE and MAPE of the XGBoost model were less than those of the ARIMA model.Conclusions The XGBoost model can help improve prediction of COVID-19 cases in the USA over the ARIMA model.…”
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Representation and Reasoning of Three-Dimensional Spatial Relationships Based on R5DOS-Intersection Model Representation and Reasoning Based on R5DOS Model by Jian Li, Weijian Zhang, Yating Hu, Zhun Wang

“…Compared with the minimum bounding rectangle (MBR) model, the proposed model boasts strong expressive power. Finally, our model was applied to derive the topological and directional relationships between simple regions A and C from the known relationships between simple regions A and B and those between B and C. …”
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THE APPLICATION OF LOUD READING IN TEACHING PRONUNCIATION AT MTsN BANDA ACEH II IN TEACHING by Mauloeddin Afna

“…Thus, the researcher concludes that loud reading has been effectively boosted the students’ pronunciation. …”
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Evolutionary Game Simulation on Government Incentive Strategies of Prefabricated Construction: A System Dynamics Approach by Baoquan Cheng, Yuhu Wei, Wei Zhang, Xintao Zhou, Huihua Chen, Lipeng Huang, Jianling Huang, Xiaofang Kang

“…Findings of this study facilitate governments to formulate and improve the incentive strategies of prefabricated construction, thus boosting the development of construction industrialization.…”
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Thermal simulation of hybrid nanomaterial-assisted freezing in porous media by Ali Al Khabyah

“…Moreover, the inclusion of a porous medium significantly boosts thermal conduction, cutting freezing time by an impressive 67.48 %. …”
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Comparison of mechanical and thermal characteristics of PVC and recycled PVC used in window frames by Sebbar El Hassan, Ait Khouya Oumaima, Laaroussi Najma, Alanssari Nasser, Ait Msaad Abdelouahad

“…The results obtained show that PVC and recycled PVC profiles offer notable mechanical strength and good heat resistance, as evidenced by a softening temperature of 80.55°C and heat reversion percentages in line with standards. Recycled PVC boasts superior dimensional stability with a thermal reversion of 0.5%, suggesting robust performance even in environments subject to temperature fluctuations. …”
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Accessible moderate-to-severe obstructive sleep apnea screening tool using multidimensional obesity indicators as compact representations by Xiaoyue Zhu, Chenyang Li, Xiaoting Wang, Zhipeng Yang, Yupu Liu, Lei Zhao, Xiaoman Zhang, Yu Peng, Xinyi Li, Hongliang Yi, Jian Guan, Shankai Yin, Huajun Xu

“…We trained, validated, and tested models with logistic regression and other 5 machine learning algorithms on the clinical dataset and a community dataset. Light gradient boosting machine (LGB) had better performance of calibration and clinical utility than other algorithms in both clinical and community datasets. …”
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SINO-VIETNAMESE PEOPLE’S ECONOMIC ACTIVITIES IN DISTRICTS 5, 6, AND 11 OF HO CHI MINH CITY, VIETNAM (1996-2016) by Trieu Huy Ha

“…As with other ethnic groups, the Sino-Vietnamese people have made a considerable contribution to boosting the local economy. Based on the theory of functionalism, culture-economy relationships, and primary anthropological research methods, this article assesses the economic contributions of the Sino-Vietnamese in industry and handicrafts, commerce and services, and finance and credit. …”
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Fidalgos e freires-cavaleiros by José Augusto de Sottomayor-Pizarro, Paula Pinto Costa

“…Fidalgos and miles Christi were part of the medieval elites that boosted the peninsular exchanges, developing frequent trajectories over borders in medieval Hispania. …”
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A Hybrid Machine Learning Framework for Soccer Match Outcome Prediction: Incorporating Bivariate Poisson Distribution by Chen Zhong An

“…The author utilizes a comprehensive dataset from top European leagues (2014-2022) and employ models including Bivariate Poisson Distribution, Naive Bayes, Neural Networks, Support Vector Machines, Random Forests, and Gradient Boosting. The paper’s feature engineering combines historical match statistics, FIFA ratings, and betting odds. …”
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