Life Cycle Evaluation of Substations with Carbon Reduction Based on Analytic Hierarchy Process Considering Multiple Performance Measures by Hongshan Wu, Xue Jiang, Kun Song, Ce Xiu, Junru Lin, Qiangsheng Xu, Heng Chen

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Retraction: The data dimensionality reduction and bad data detection in the process of smart grid reconstruction through machine learning. by PLOS One Editors

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Smelting process of direct reduction iron bearing Ni and Cu to prepare Fe-Ni-Cu ternary alloy by Zhu D.-Q., Pan L.-T., Guo Z.-Q., Pan J.

“…Compared with the direct reduction iron powder, the Fe-Ni- Cu ternary alloy contains a higher metal content and less sulfur from the smelting process and is a superior material for producing weathering steel. …”
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Effect analysis of trihalomethane reduction in the raw water from Qingcaosha reservoir using various water treatment processes by WU Jingyu, WANG Weiguo, REN Hui, ZHENG Weiwei

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Interface optimization and process scale-up study of electrocatalytic reduction of CO2 to CO in acidic flow electrolyzers by Feiyu MA, Xianlong LU, Xueyang ZHAO, Lili WANG, Zhendong LI, Bangwei DENG, Fan DONG

“…The electrocatalytic carbon dioxide reduction reaction (eCO2RR) powered by renewable energy can convert CO2 into high-value chemicals and fuels. …”
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Alert Reduction and Telemonitoring Process Optimization for Improving Efficiency in Remote Patient Monitoring Programs: Framework Development Study by Job van Steenkiste, Niki Lupgens, Martijn Kool, Daan Dohmen, Iris Verberk-Jonkers

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Strengthening salt reduction policy for Malaysia through proposed maximum salt targets of selected processed food groups by Ying Qian Ong, Suzana Shahar, Hasnah Haron, Nurul Fatin Malek Rivan, Hamdan Mohamad, Musaalbakri Abdul Manan, Wan Zunairah Wan Ibadullah, Viola Michael, Sonia Pombo-Rodrigues, Feng J He, Graham A MacGregor

“…Similarly, Malaysia’s Salt Reduction Strategy to Prevent and Control Non-communicable Diseases (2021–2025) targets a daily intake of less than 6.0 g by 2025, achievable through salt reduction in processed and prepared foods. …”
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LegalMind: Agentic AI-Driven Process Optimization and Cost Reduction in Legal Services Using DeepSeek by Nidadavolu Venkat Durga Sai Siva Vara Prasad Raju, Nuruzzaman Faruqui, Nikhil Patel, Olivia-Roxana Alecsoiu, Priyabrata Thatoi, Salem A. Alyami, AKM Azad

“…Experimental results show a 42.6% cost reduction and a 60.8% improvement in document processing speed over baseline AI models. …”
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A Predicting Method of the Strong Cooling Process during Winter with Numerical Model Prediction and its Operational Application by Bomin CHEN, Kun ZHOU, Fei XIN, jun MA, Limei JIN

“…At first this paper quantitatively evaluated the low-frequency wave performance of NCEP-CF Sv2 model over the eight key areas on 700 hPa from January to March and from October to December of 2017， and then made operationally the fifteen extended-range operational predictions of strong cooling process for January to April of 2018 and for November to January 2019 with the 1~30 days prediction given by CFSv2 model as well as the low-frequency wave conceptual predicting model.The results show that the phase and evolution trend of the low-frequency wave in the key area predicted by CFSv2 model are highly consistent with the reality， with the correlation coefficients of 0.839 of the predicted low-frequency waves with the observed for the extended-range （11~30 days）， the accuracy of low frequency wave trend by the model over 3~6 pentad up to percent of 83.3 on average， and the percentage of 100-percent accuracy of the trend even up to 45.8.The average accuracy， Cs and Zs scores of 15 strong cooling process operational predicting are 61.2%， 0.149 and 0.158 respectively， and at the same time the occurrence of the two strongest cooling processes at the beginning and the end of 2018 were accurately given with the lead-time of 18 and 16 days in turn， which are significantly higher than those of the operation predicting for the same period of 2015 to 2017 without CFSv2 results.…”
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The effect of dielectric barrier discharge (DBD) cold plasma treatment on the reduction of aflatoxin B1 and the physicochemical properties of oat by Mandana Dousti, Moein Bashiry, Parvin Zohrabi, Vahid Siahpoush, Asma Ghaani, Khadije Abdolmaleki

“…The results showed that DBD treatment had the greatest reduction in 6 min and power 37, which reduced AFB1 concentration by 82%. …”
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Editorial: Investigating connectivity to advance the predictive understanding of watershed processes and the Earth's critical zone by Dipankar Dwivedi, Ronald E. Pöppl, Ellen Wohl

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Machine learning-driven predictive design of catalytic oxygen carriers for chemical looping processes by Zhuo Cheng, Qichang Meng, Xiaofeng Jiang, Sudeshna Gun, Liang-Shih Fan

“…These techniques can efficiently screen a vast number of materials to find the most promising candidates based on their predicted properties. This perspective summarizes recent advances in utilizing machine learning for catalyst development and explores its application in the design of catalytic oxygen carriers for chemical looping processes. …”
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THE REDUCTION ANTHROPOGENIC EMISSION AT THE COMBUSTION OF COALS AND COAL PROCESSING WASTE AS A COMPONENT COAL-WATER SLURRY CONTAINING PETROCHEMICALS by M. A. Dmitrienko, G. S. Nyashina, N. E. Shlegel, S. A. Shevyrev

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Innovative and best practices in sustainable strategies for waste reduction in additive manufacturing by Kazeem Aderemi Bello, Rendani Wilson Maladzhi

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Merging Real-Time NIR and Process Parameter Measurements in a Fluidized Bed Granulation Process to Predict Particle Size by Ozren Jovic, Marcus O’Mahony, Samuel Solomon, David Egan, Chris O’Callaghan, Caroline McCormack, Ian Jones, Patrick Cronin, Gavin M. Walker, Rabah Mouras

“…Herein, for the first time, NIR is combined with process parameters to achieve improved prediction of the particle sizes in FBG. …”
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Stacking Ensemble Learning Process to Predict Rural Road Traffic Flow by Arash Rasaizadi, Seyedehsan Seyedabrishami

“…In this study, an ensemble learning process is proposed to predict the hourly traffic flow. …”
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INFORMATION PREDICTABILITY IN THE PROBLEM OF PARAMETER ESTIMATION ON THE BACKGROUND OF NON-STATIONARY PROCESSES by A. V. Ausiannikau, V. M. Kozel

“…The necessary theoretical information for algorithms estimating unknown parameters useful for background noise nonstationary stochastic processes is given. The relationship of information predictability stochastic process and evaluation is shown.…”
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An Effective ABC-SVM Approach for Surface Roughness Prediction in Manufacturing Processes by Juan Lu, Xiaoping Liao, Steven Li, Haibin Ouyang, Kai Chen, Bing Huang

“…It is difficult to accurately predict the response of some stochastic and complicated manufacturing processes. …”
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Analysis of the prediction and evolution process of waterfilling in closed coal mine goaf by Yanqing DING, Renhao PANG, Jing QIAN, Lihong DUAN, Taisen CHEN

“…After coal mine closure, the groundwater level recovers, while the water accumulation process in goaf areas has rarely been studied. Taking Xuzhou Sanhejian closed coal mine as an example. …”
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Predictability of Business Environment within Budgeting Process – is it Connected with Fluctuations of Economy? by Boris Popesko, Aleksandr Ključnikov, Dušan Hrabec, Jiří Dokulil

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