Process design and techno-economic analysis of integrated coal gasification-flash ironmaking-methanol synthesis process by Hao Cheng, Guoqiang Cao, Zhongren Ba, Donghai Hu, Yongbin Wang, Jonas Baltrusaitis, Chunyu Li, Jiantao Zhao, Yitian Fang

“…The new process contains eight units: air separation, CG-FI, smelting reduction, water gas shift, acid gas removal, CO _2 compression, Claus unit, MS and purification unit. …”
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Development of an effective risk reduction system at food industry enterprises by I. P. Mitrofanova, D. A. Rizak, V. A. Bagin

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Predictive Value of the Early Spontaneous Movements for Preterm Infants’ Neurodevelopmental Outcome at 12 Months’ Corrected Age by Ayse Yildiz, Ramazan Yildiz, Umut Apaydin, Pelin Atalan Efkere, Rabia Zorlular, Bulent Elbasan

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Recording of Cardiac Excitation Using a Novel Magnetocardiography System with Magnetoresistive Sensors Outside a Magnetic Shielded Room by Leo Yaga, Miki Amemiya, Yu Natsume, Tomohiko Shibuya, Tetsuo Sasano

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Performance and economic enhancement of a dewaxing casting process using a heat pump drying system by Win-Jet Luo, Amir Reza Ansari Dezfoli, Swami Nath Maurya, Bivas Panigrahi, Pei-Tang Wang

“…This study investigates integrating a heat pump drying system into the dewaxing and drying process of investment casting through numerical simulations and experimental validation. …”
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Using optimized dimensionality reduction and machine learning to explain driving processes of phytoplankton community assembly in large mountain rivers by Jingxu Ye, Daikui Li, Qi Liu, Jianying Song, Jiawei Song, Zhigang Zu, Yujun Yi

“…In this study, we employed a methodology combining optimized dimensionality reduction with advanced machine learning to construct a path analysis model for explaining the driving processes underlying phytoplankton community assembly in large mountain rivers. …”
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Impact of Overlapping Fe/TiO2 Prepared by Sol-Gel and Dip-Coating Process on CO2 Reduction by Akira Nishimura, Xuyan Zhao, Takuya Hayakawa, Noriaki Ishida, Masafumi Hirota, Eric Hu

“…Fe-doped TiO2 (Fe/TiO2) film photocatalyst was prepared by sol-gel and dip-coating process to extend its photoresponsivity to the visible spectrum. …”
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The analysis of the progressive local failure process of the Longquan Reservoir dam based on the global-local dynamic strength reduction method by Xin Qu, Fangfang Diao, Cheng Li, Xingqian Xu, Zihan Wang, Shuai Hao

“…Combining this model with the global-local dynamic strength reduction method, the progressive local failure process of the dam under heavy rain conditions was simulated. …”
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Study on the effect of controlled disproportionation pore-forming and relative vacuum mechanism on the reduction rate of continuous magnesium smelting process by Jing-zhong Xu, Ting-an Zhang, Yan Liu, Zhihe Dou, Yishan Liu, Baiao Feng, Hongxuan Liu

“…Compared with the vacuum continuous magnesium smelting process (RVCMS), its excellent energy saving and emission reduction performance provides a feasible method for green magnesium smelting. …”
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Process and technology solutions for improving the energy efficiency and the sustainability of the iron ores reduction with Blast Furnaces utilizing synthesis gas by S. Andreola, F. Barbetti, L.E. Basini, G. Iaquaniello, A. Salladini

“…This work examined solutions for improving the environmental impact and the economics of the iron ore reduction processes using Blast Furnaces and Basic Oxygen Furnaces. …”
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Reduction of Patient Harm Through Decreasing Urine Culture Contamination in an Emergency Department Using Multiple Process Improvement Interventions by Clare Cowen, Shelley Frinsco, Rebecca Nosal, Faith Colen

“… # Conclusions Urine culture contamination in an acute care ED was sustainably decreased through multiple process improvement interventions. Secondary outcomes included reduction in unnecessary antibiotic use and unnecessary admissions.…”
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Tooth Aligned Control of Shifting Process in a Dedicated Hybrid Transmission by Wei Ren, Ming Cao

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Advanced Machine Learning Approaches for Predicting Machining Performance in Orthogonal Cutting Process by Sabrina Al Bukhari, Salman Pervaiz

“…We investigated the orthogonal cutting process by using machine learning models to predict its performance. …”
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Machine Learning and Multilayer Perceptron-Based Customized Predictive Models for Individual Processes in Food Factories by Byunghyun Lim, Dongju Kim, Woojin Cho, Jae-Hoi Gu

“…The results of this study demonstrate that straightforward data and models can accurately predict steam energy consumption for individual processes. …”
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Efficient estimation of SNP heritability using Gaussian predictive process in large scale cohort studies. by Souvik Seal, Abhirup Datta, Saonli Basu

“…Theoretically, we show that under a model of genetic coalescence, the limiting form of our approximation is the celebrated predictive process approximation of large Gaussian process likelihoods that has well-established accuracy standards. …”
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Adaptive Prediction of a Random Process Using a Sequential Regression Algorithm by Vladimir A. Golovkov

“…The adaptive predictive filter with random process derivative sampling provided at least a one third reduction of the number of mathematical operations in comparison with the transversal predictive filter.Conclusion. …”
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Temporal Synchrony in Bodily Interaction Enhances the Aha! Experience: Evidence for an Implicit Metacognitive Predictive Processing Mechanism by Jiajia Su, Haosheng Ye

Subjects: “…metacognitive predictive processing model…”
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Dual attentional processing of task-irrelevant information by Tsukasa Kimura, Tomoya Kawashima

“…Previous studies have demonstrated that repeated and regular presentations of task-irrelevant environmental stimuli enhance temporal prediction of subsequent events. However, the specific influence of such information processing at both the stimulus and contextual levels on temporal prediction remains unclear. …”
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Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model by Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao

“…By utilizing online monitoring data from pilot systems, it conducts an in-depth analysis of the impacts of different wastewater treatment processes on water quality parameters. This work pays particular attention to their impact on key indicators such as Chemical Oxygen Demand (COD), NH4 +-N, Total Phosphorus (TP), and Total Nitrogen (TN), and the application of predictive models. …”
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Supercomplexity: bridging the gap between aesthetics and cognition by Alessandro Bortolotti, Giulia Candeloro, Riccardo Palumbo, Pier Luigi Sacco, Pier Luigi Sacco

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