Framework for quantitative evaluation of carbon reduction performance in zero-waste industrial parks by LIAO Kailingli, FENG Zeshi, TIAN Jinping, CHEN Lyujun

“…In 2022, the selected industrial park achieved a carbon reduction of 17000 tons through co-processing of hazardous waste in cement kilns. …”
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CO25 | Thromboinflammation and ros accumulation in individuals with high lipoprotein(a) levels

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Applications of perovskite oxides for oxygen evolution and oxygen reduction reactions in alkaline media by Huimin Wang, Junfang Cheng, Hao Chen, Xinyi Li, Dawei Liu, Xinyu Li, Wenjun Li, Guanghua Wei, Shuiyun Shen, Bo Chi, Junliang Zhang

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Effect of flavonol on reduction of acrylamide in Maillard reaction and its correlation with antioxidant capacity by CHENG Jun, REN Yiping, ZHANG Ying, ZHANG Yu

“…In 2002, the discovery of acrylamide contaminant in heat processing foods got a worldwide attention because of its genetic and reproductive toxicities as well as mutagenic and carcinogenic properties. …”
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A Polar-Coded PAPR Reduction Scheme Based On Hybrid Index Modulation by Si-Yu Zhang, Xinwei Yue, Behnam Shahrrava, Yuexia Zhang, Gongpu Wang

“…Therefore, the need for transmitting side information, which is a necessary process in probabilistic PAPR reduction schemes, can be eliminated. …”
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Pupil Size Tracks the Effects of Global Context and Semantic Ambiguity on Word-Meaning Processing by Julieta Laurino, Laura Kaczer

“…Processing word meaning often appears effortless, yet the language system must frequently resolve ambiguity by integrating broad contextual information to ensure comprehension. …”
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Machine Learning-Based Surface Roughness Prediction in Turning of Hardened AISI 4340 Steels: Incorporating Tool Wear via Cutting Length by A. Ginting, M.S. Kasim, B.T. Hang Tuah Baharudin

“…This study explores the predictive modeling of surface roughness in the hard turning of AISI 4340 steel using machine learning techniques, specifically Random Forest (RF) and Gaussian Process Regression (GPR). …”
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Particle Swarm Optimization–Long Short-Term Memory-Based Dynamic Prediction Model of Single-Crystal Furnace Temperature and Heating Power by Lin Hou, Dedong Gao, Shan Wang, Wenyong Zhang, Haixin Lin, Yan An

“…The results show that the PSO-LSTM model achieves highly accurate temperature and heating power predictions in the crystal growth process, with a Mean Absolute Error (<i>MAE</i>) of 0.0295 for temperature and 0.0392 for heating power, further validating its effectiveness for real-time predictive control.…”
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The Value of Individual Screen Response Time in Predicting Student Test Performance: Evidence from TIMSS 2019 Problem Solving and Inquiry Tasks by Bin Tan, Okan Bulut

“…This finding suggests that fine-grained response time data can provide more information to infer the response processes of students in the test. Cross-validation and analyses across different achievement groups confirmed the consistency of results regarding the predictive and explanatory value of within-person variability. …”
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Comparison of processing speed of NRS-ANN hybrid and ANN models for oil production rate estimation of reservoir under waterflooding by Paul Theophily Nsulangi, Werneld Egno Ngongi, John Mbogo Kafuku, Guan Zhen Liang

Subjects: “…Oil production rate prediction…”
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A Short Review: Tribology in Machining to Understand Conventional and Latest Modeling Methods with Machine Learning by Seisuke Kano

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Cyberbullying-Related Automated Hate Speech Detection on Social Media Platforms Using Stack Ensemble Classification Method by Muhammad Mubeen, Aliza Muskan, Arslan Akram, Javed Rashid, Tagrid Abdullah N. Alshalali, Nadeem Sarwar

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From Words to Ratings: Machine Learning and NLP for Wine Reviews by Iliana Ilieva, Margarita Terziyska, Teofana Dimitrova

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Severity of rolling reconstituted high-moisture barley on ensiling characteristics and in vitro ruminal fermentation by Beverly A. Lynch, Gabriel O. Ribeiro, Timothy Mutsvangwa, Gregory B. Penner

“…Fermenter pH tended to be less for DRB relative to RHBF. In conclusion, the reduction in fine particles with the addition of water for RHB may prevent a decline in fermenter pH and when processed to achieve the same processing index using a smaller roller gap width, yielded similar DM and OM disappearance suggesting a lesser risk for low ruminal pH without compromising digestibility.…”
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Expressway Asphalt Pavement Technical Status Cluster Dimensional Reduction Evaluation Method by Yanli Li

“…In the process of asphalt pavement maintenance management, the technical condition of the pavement is accurately predicted, its performance trend is predicted, and the right time is chosen to take targeted maintenance measures that will play a multiplier role, so predicting the technical condition of the pavement is important significance. …”
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Quadratic descriptors and reduction methods in a two-layered model for compound inference by Jianshen Zhu, Naveed Ahmed Azam, Shengjuan Cao, Ryota Ido, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

“…Furthermore, we introduce different methods to reduce descriptors, aiming to avoid computational complexity and overfitting issues during the learning process caused by the large number of quadratic descriptors. …”
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Experiments and Simulations on the Low-Temperature Reduction of Iron Ore Oxide Pellets with Hydrogen by Róbert Findorák, Zuzana Miškovičová, Jaroslav Legemza, Róbert Dzurňák, Branislav Buľko, Peter Demeter, Andrea Egryová, Róbert Maliňák

“…The results highlight the importance of controlling process conditions and optimizing pellet properties to enhance the reduction process and minimize environmental impacts. …”
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Climate change causes reductions in fish habitat suitability in Loktak Lake, India by Vicky Anand, Bakimchandra Oinam, Sebastian Schwindt, Stefan Haun, Silke Wieprecht

“…Climate change affects ecological processes that govern species distribution patterns at different spatio-temporal scales. …”
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Modeling biogeochemical processes in the Azov Sea using statistically processed data on river flow by A. I. Sukhinov, Y. V. Belova, A. V. Nikitina, A. M. Atayan

“…River flow, varying in volume and chemical composition, affects significantly the variability of hydrophysical and biogeochemical parameters of the processes occurring in the coastal environment. This explains the need for statistical processing of the data from long-term observations over the river flow characteristics.Materials and Methods. …”
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Expanding the frontiers of additive manufacturing: Higher microstructure identification through probability modeling by Muhammad Shoaib, Muhammad Idrees, Hakeem Ullah, Aasim Ullah Jan, Touqeer Ahmad, Ali Akgül, Magda Abd El-Rahman, Seham M. Al-Mekhlafi

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