An Exergy-Enhanced Improved IGDT-Based Optimal Scheduling Model for Electricity–Hydrogen Urban Integrated Energy Systems by Min Xie, Lei Qing, Jia-Nan Ye, Yan-Xuan Lu

“…Case studies based on a 186-bus UIES coupled with a 20-node HCNG network show that the method improves exergy efficiency by up to 2.18% while maintaining cost robustness across varying confidence levels. …”
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Integrated use of cultivation practices increases the Tartary buckwheat yield by improving the photosynthetic capacity and nitrogen utilization rate by Lihua Dai, Lihua Dai, Qiong Yang, Fang Cai, Jingang Tang, Kaifeng Huang

“…Understanding the effects of improved cultivation practices (ICPs) on the yield and economic benefits is of great importance for high-yield cultivation and resources efficient utilization of Tartary buckwheat.MethodsA two-season field experiment was conducted on Tartary buckwheat variety Jinqiao 2 using six cultivation practices, including no nitrogen application (0 N), local farmers’ practice (LFP, CK), and four ICPs consisting of improved practice of increased planting density with reduced nitrogen application (ICP1), the same practices as ICP1 but with moderate tillage depth (ICP2), the same practices as ICP1 but with deep tillage depth (ICP3), and the same practices as ICP3 but with rice straw returning (ICP4).Results and discussionICP4 treatment remarkably increased the chlorophyll content, photosynthetic rate, photosynthetic nitrogen utilization efficiency, non-structural carbohydrate accumulation, transportation, contribution rate to grain yield, physiological utilization rate of nitrogen fertilizer, agronomic utilization rate of nitrogen fertilizer, and partial productivity of nitrogen fertilizer. …”
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Measuring and optimizing pathways for regional economic and low-carbon coordination effects: A case study of the Yangtze River Economic Belt by Lu Chen, Jingyi Zhao, Junbo Wang, Qiang Ren, Wei Liu, Qunyi Liu

“…It investigates the relationship between economic output and emissions using the Tapio decoupling model. …”
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Analyzing vehicle emissions using a hybrid machine learning approach using weighted average based k-means clustering for sustainable transportation decision-making by Mohd Mobasshir, Praveen Pachauri, Pratibha Kumari, Faisal Khan, Azhar Equbal, Osama Khan, Mohd Parvez, Taufique Ahamad, Shadab Ahmad

“…In this study, a comparative analysis is conducted on three distinct vehicle types — hybrid, diesel, and biodiesel — assessing their carbon footprint based on emissions of CO2, CO, NOx, SO2, PM and UBHC across various operating conditions such as load, efficiency losses, and torque. The Analytic hierarchy process (AHP) method was used to determine the weights for various output parameters, including, the weights assigned to these parameters are as follows: CO2 emissions-13.76%, CO emissions-18.29%, UBHC emissions-25.58%, NOx emissions-13.54%, PM emissions-7.01%, and SO2 emissions-21.83%. …”
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A new cooling method for photovoltaic module using U-shape aluminum fins and circular copper tubes: An indoor experiment and economic study by Ihsan Okta Harmailil, Sakhr M. Sultan, Ahmad Fudholi, Masita Mohammad, C.P. Tso

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Analysis of emission and combustion behaviors of water-emulsified diesel with various water contents and droplet diameters by Ghazian Amin Bin MUKHTAR, Takeshi NAGATA, Jun HAYASHI, Naoto HORIBE, Hiroshi KAWANABE, Manabu FUCHIHATA

“…The results showed that increasing water content generally decreased engine output power due to reduced diesel fraction and latent heat effects. …”
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Technological features of harvesting pressed sorghum feed by Serik Akhanov, Danabek Nurzhan, Bibigul Baizhanova, Bakhytzhan Shayanbekova, Bakhtkul Kenzhaliyeva, Ainur Demessinova, Mansur Balgabayev, Almasbek Berdibek

“…Results demonstrated that employing a combined rotary cutter and hydraulic press system increased pressed feed yield by 22% compared to traditional methods, achieving an average output of 8.5 tons ha-1 with moisture content stabilized at 14–16%. …”
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Method for Helicopter Turboshaft Engines Controlling Energy Characteristics Through Regulating Free Turbine Rotor Speed and Fuel Consumption Based on Neural Networks by Serhii Vladov, Maryna Bulakh, Jan Czyżewski, Oleksii Lytvynov, Victoria Vysotska, Victor Vasylenko

“…A fuel consumption controller was developed based on a neuro-fuzzy network that processes input data, including the desired and current rotor speed, which allows real-time adjustments to improve the operational efficiency. In the research, based on the flight data analysis obtained during the Mi-8MTV helicopter with a TV3-117 turboshaft engine flight test, improved signal processing quality was obtained due to time sampling and adaptive quantisation methods (this is confirmed by assessing the homogeneity and representativeness of the training and test datasets). …”
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Performance evaluation, prediction analysis and optimization of experimental ORC using artificial neural networks (ANN) by Diki Ismail Permana, Federico Fagioli, Maurizio De Lucia, Dani Rusirawan, Istvan Farkas

“…Additionally, a multi-objective optimization approach is used to simultaneously maximize net output work and thermal efficiency, setting a benchmark for efficient, low-cost, and sustainable ORC system designs. …”
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Mitigating Load Imbalance and Enhancing Distribution Transformer Performance via Fuzzy Inference System by Althoff Hibban, Azriyenni Azhari Zakri, Dirman Hanafi, Boy Ihsan, Umair Ali

“…The methodology includes transformer data collection exhibiting more than 25% imbalance, fuzzification, application of 512 fuzzy If-Then rules, fuzzy inference using the Mamdani method, and defuzzification via the centroid method. …”
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Accelerated Computation of Linear Complementarity Problem in Dexterous Robotic Grasping via Newton-Subgradient Non-Smooth Multi-Step Greedy Kaczmarz Method by Zhiwei Ai, Chenliang Li

“…To accelerate the computational efficiency of LCP in the dexterous grasping problem, as well as to ensure the stability and reproducibility of the algorithm’s output, the NSNMGK method, which incorporates sequential projection iterations across all greedy-selected active constraint rows within each NSNGRK framework iteration cycle, is developed. …”
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Maxwell Spectrum as a Parameter to Verify the Dose in Brain Cancer (Glioblastoma) by Boron Neutron Capture Therapy (BNCT) using Monte Carlo Method by Otto Haubrich, Domingos D'Oliveira Cardoso, Marcos Paulo Cavaliere de Medeiros

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A Global-Speed-Region Voltage Angle Control Method Considering Dead-Time Effect Compensation for Permanent Magnet Synchronous Motor Drives by Xiongwei Jiang, Cheng Lin, Jilei Xing, Yao Xu, Yu Tian

“…The voltage utilization in the PMSM control can be improved through the voltage angle control (VAC) method, thereby enhancing the control efficiency and output power capability. …”
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Waste Heat Recovery and Utilization of Advanced Compressed Air Energy Storage System by Xiankui WEN, Xiang LI, Tongtian DENG, Jingliang ZHONG, Suobin WANG, Shi LIU

“…The influence of the these two factors on the system efficiency and output power is explored by changing the expander exhaust pressure and the regulator valve outlet pressure, The simulation results show that the method increases the total output power of the advanced compressed air system and improves the system efficiency.…”
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Stochastic Optimal Power Flow of Wind Turbine through Flexible Grid Connected System Considering Converter Loss by Jiahui DU, Changjiang WANG, Ling LI, Chenguang YANG

“…Thirdly, the stochastic optimal power flow model of wind power through the flexible DC grid-connected system is constructed, and the model is solved by the interior point method, and the numerical characteristics of output variables are obtained by using the statistical method. …”
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A linear programming-based framework of interval power flow analysis for distribution systems by Xuehan Zhang, Bairong Deng, Zhenning Pan, Tao Yu

“…The interval power flow (IPF) method is widely employed to address the uncertainties of renewable energy sources (RESs) in power systems. …”
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Grouped machine learning methods for predicting rock mass parameters in a tunnel boring machine‐driven tunnel based on fuzzy C‐means clustering by Ruirui Wang, Yaodong Ni, Lingli Zhang, Boyang Gao

“…Abstract To guarantee safe and efficient tunneling of a tunnel boring machine (TBM), rapid and accurate judgment of the rock mass condition is essential. …”
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Day-ahead photovoltaic power generation forecasting with the HWGC-WPD-LSTM hybrid model assisted by wavelet packet decomposition and improved similar day method by Ruxue Bai, Jinsong Li, Jinsong Liu, Yuetao Shi, Suoying He, Wei Wei

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Effects of a Combined Method of Normobaric Hypoxia on the Repeated Sprint Ability Performance of a Nine-Time World Champion Triathlete: A Case Report by Adrian Gonzalez-Custodio, Carmen Crespo, Rafael Timón, Guillermo Olcina

“…POST-D21: 19 vs. 24 vs. 28), power output (PRE 615 W vs. POST-D3 685 W vs. POST-D21 683W) and efficiency of the triathlete. …”
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Scalable Statistical Channel Estimation and Its Applications in User-Centric Cell-Free Massive MIMO Systems by Ling Xing, Dongle Wang, Xiaohui Zhang, Honghai Wu, Kaikai Deng

“…Simulation results show that under the LSFP scheme, the proposed method can achieve comparable spectral efficiency (SE) with the traditional CSI acquisition scheme while ensuring scalability. …”
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