Deciphering Local Microstrain-Induced Optimization of Asymmetric Fe Single Atomic Sites for Efficient Oxygen Reduction by Peng Zhang, Siying Huang, Kuo Chen, Xiaoqi Liu, Yachao Xu, Yongming Chai, Yunqi Liu, Yuan Pan

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Growth physiology, genomics, and proteomics of Desulfurivibrio dismutans sp. nov., an obligately chemolithoautotrophic, sulfur disproportionating and ammonifying haloalkaliphile fr... by Dimitry Y. Sorokin, Dimitry Y. Sorokin, Alexander Y. Merkel, Rustam H. Ziganshin, Ilya V. Kublanov, Ilya V. Kublanov

“…It can also grow by dissimilatory sulfur reduction to sulfide or nitrate reduction to ammonium (DNRA) with formate (but not with H2) as the electron donor. …”
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A comparative evaluation of geostatistical techniques of frequency ratio (FR), Shannon Entropy (SE), and analytical hierarchy (AHP) in landslide prediction: a case study of Uttarak... by Mohd. Alam, Afzal Nadeem Siddiqui, Syed Kausar Shamim, Ateeque Ahmad, Mohammed Faiz

“…The FR, AHP, and SE models were validated using the AUC curve, yielding 92%, 89%, and 81% success rates and predictive rates of 90%, 87%, and 77%, respectively. …”
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Fullerene-metalloporphyrin co-crystal as efficient oxygen reduction reaction electrocatalyst precursor for Zn-air batteries by Ao Yu, Qi Huang, Shixin Gao, Tingting Xu, Wei Zhang, Nimanyu Joshi, Ping Peng, Yang Yang, Fang-Fang Li

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Education and Assessment: Prophecy or Prediction by Mónica Patricia Borjas

“…Faced with these two contexts, readers can make their own predictions or prophecies about the future of this process, which is relevant to ensure the quality of learning processes in educational institutions.…”
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Prediction of Scale Synchronization Instability by V. E. Lankin, A. K. Schaschkin

“…Based on the models of long-term care scales algorithms to estimate parameters of these processes and their prediction are created. Solutions for some particular types of instabilities are given.…”
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METHOD TO PREDICT SOFTWARE RELIABILITY by S. N. Niaborski, V. V. Bakhtizin

“…A method to predict the reliability of software is introduced in this paper. …”
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Predicting unemployment rates in Indonesia by Umi Mahmudah

“… The main purpose of this study is to predict the unemployment rate in Indonesia by using time series data from 1986 to 2015 using autoregressive integrated moving average (ARIMA). …”
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Modelling complexity : The limits to prediction by Michael Batty, Paul M. Torrens

“…Models represent simplifications of a system in which salient parts and processes are simulated and given this definition, many models will exist for any particular complex system. …”
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Design of a Morphing Aircraft Based on Model Predictive Control by Wei Ren, Yingjie Wei, Cong Wang

“…Considering the existence of composite disturbances during the morphing process, a robust model predictive control (RMPC) strategy is proposed, using set containment as the performance index. …”
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Analysis of carbon emission reduction capacity of hydrogen-rich oxygen blast furnace based on renewable energy hydrogen production by Gao Jianjun, Wang Bin, Teng Fei, Qi Yuanhong, Zhang Yingyi

“…With the proposal of China’s goal of peaking carbon emissions and achieving carbon neutrality, the steel industry urgently requires substantial technological breakthroughs in carbon reduction. About 90% of China’s crude steel production is produced through the blast furnace-basic oxygen furnace process, and blast furnace carbon consumption accounts for more than 70% of steel process carbon consumption. …”
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Determination of the optimal horizontal boring mill for the repair of the pipe-rolling reduction-stretching mill’s body stands by O. N. Filonchik

“…The article defines the optimal equipment necessary for the repair of the body stands of a pipe-rolling reduction-stretching mill. The body stand of the mill crate, made of 40X structural alloy steel, undergoes wear of the bearing seats during operation. …”
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Yellow Mustard Protein a Immunoreactivity Reduction Through Seed Germination, Lactic Acid Fermentation, and Cooking by Simran Kaur Jawanda, Hosahalli S. Ramaswamy

“…The germination and fermentation processes yielded varying reductions in the IRs of mustard proteins, with a combined yield of about 90% reduction. …”
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Neural Network-Based Model for Predicting Preliminary Construction Cost as Part of Cost Predicting System by Diana Car-Pusic, Silvana Petruseva, Valentina Zileska Pancovska, Zlatko Zafirovski

“…This paper presents a combination of process-based and data-driven model for construction cost prediction in early project phases. …”
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Processing Factors and Risk Assessment of Pesticide Residues in Wine by Sandra Cermeño, José Manuel Veiga-del-Baño, Miguel Ángel Cámara, Pedro Andreo-Martínez, José Oliva

“…Fermentation also contributes to this reduction through microbial metabolism and enzymatic hydrolysis. …”
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Aspects of the Subarrayed Array Processing for the Phased Array Radar by Hang Hu

“…We address some issues concerning subarrayed adaptive beamforming, subarrayed fast-time space-time adaptive processing, subarray-based sidelobe reduction of sum and difference beam, subarrayed adapted monopulse, subarrayed superresolution direction finding, subarray configuration optimization in ECCM (electronic counter-countermeasure), and subarrayed array processing for MIMO-PAR. …”
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The Current Trends in Livestock Product Processing: Problems and Prospects by Glushkov Oleg A.

“…The analysis of the development of the dairy processing sector has demonstrated a reduction in the number of enterprises, which is linked to a prolonged decline in production, a decrease in domestic demand, and the negative impact of the full-scale war. …”
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Prediction of coking dynamics for wet coal charge by Kardaś Dariusz, Polesek-Karczewska Sylwia, Ciżmiński Przemysław, Stelmach Sławomir

“…The histories of temperature, gas evolution and internal pressure were presented and analysed. The theoretical predictions of temperature change in the centre plane of the coke oven were compared with industrialscale measurements. …”
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Logatom articulation index evaluation of speech enhanced by blind source separation and single-channel noise reduction by Szymon DRGAS, Jędrzej KOCIŃSKI, Aleksander P. SĘK

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Monitored reconstruction improved by post-processing neural network by A.V. Yamaev

“…In this paper, there were investigated the advantages of using post-processing neural networks within a monitored reconstruction approach. …”
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