Evaluating Colilert and ChromAgar methods for the detection of ESBL bacteria in water samples from urban markets in Blantyre, Malawi by Miss Effita Masoamphambe, Dr Derek Cocker, Prof Nicholas Feasey, Dr Kondwani Chidziwitsano, Miss Mindy Panulo, Dr David Berendes, Dr Amy Kirby, Prof Tracy Morse

“…Variations in the results obtained from conventional ChromAgar and ESBL Colilert methods highlight that more research is required to optimize microbiological methods for the recovery and identification of AMR bacteria from environmental samples to enable accurate surveillance.…”
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Cost-Based Modeling for Optimal Energy Management of Smart Buildings with Renewable Energy Resources and Electric Vehicles Using a Scenario-Based Algorithm by Hanlie Cheng

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Distributed Relative Pose Estimation for Multi-UAV Systems Based on Inertial Navigation and Data Link Fusion by Kun Li, Shuhui Bu, Jiapeng Li, Zhenyv Xia, Jvboxi Wang, Xiaohan Li

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Assessment of Ecosystem Characteristics and Fishery Carbon Sink Potential of Qianxiahu Reservoir Based on Trophic Level and Carbon Content Methods by Mei Liu, Mengxia Shu, Qingping Lian, Aihuan Guo, Dan Zhou, Songbao Zou, Julin Yuan, Guangmei Chen

“…Optimizing biological carbon sequestration has become a primary strategy in global low-carbon-emission initiatives. …”
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Estimation of Moderate-Resolution Snow Depth in Xinjiang With Enhanced-Resolution Passive Microwave and Reanalysis Data by Machine Learning Methods by Yongchang Yan, Yan Qin, Yongqiang Liu, Yubao Qiu, Yang Liu

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The Optimal Integration of Virtual Power Plants for the South African National Grid Based on an Energy Mix as per the Integrated Resource Plan 2019: A Review by Melissa-Jade Williams, Choong-Koo Chang

“…To achieve this, innovative methods must be found to integrate renewable energy sources while preserving grid stability. …”
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Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management by M. Sivaramkrishnan, Jaganathan Subramani, Mohammad Mukhtar Alam, Liew Tze Hui

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A New Hybrid Intelligent Method for Accurate Short Term Electric Power Production Forecasting From Uncertain Renewable Energy Resources by Gholamreza Memarzadeh, Farshid Keynia, Faezeh Amirteimoury, Rasoul Memarzadeh, Hossein Noori

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Industrial Testing of a Hybrid Technology for Water Purification from the Oka River Using the Method of Charcoalization with Powdered Sorbent by A. A. Filimonova, A. Yu. Vlasova, N. B. Karnitsky, N. D. Chichirova, R. F. Kamalieva

“…The article presents the method of charcoalization, which allows to neutralize pollution in a short time and improve the water treatment quality. …”
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Reproducibility of the visual palatability of the crumb of bread and a novel sensory evaluation method using images presented on a screen by Yukinori Sato

“…In addition, sensory evaluation measurement using a projector was confirmed to be useful. Finally, the optimal light source for the crumb of white bread was TL83. …”
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A new hybrid distance and similarity based scenario reduction approach for stochastic economic operation of microgrid by Gaurav Gangil, Amit Saraswat, Sunil Kumar Goyal

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Analysis the effects of monetary policy in Iran's economy with the existence of shadow banking, using dynamic stochastic general equilibrium method by ashkan makipour, Ahmad Salahmanesh, Ebrahim Anvari, Ebrahim Bahraminia

“…Comparison of monetary policy in the form of two scenarios mentioned in the articlepolicyScenario (1)No shadow bankingScenario (2)With shadow bankingProductioninflationProductioninflationExpansionary monetary policy  Increasing production and reaching the long-term level after seven periodsPositive inflationary effectThe increasing effect on production is neutralized after a period and then production decreasesInflationary effect more than scenario 1 Contractionary monetary policyDecrease in production levelA decrease in the level of prices and a negative inflationary effectDecrease at a lower rate of scenario 1 and then increase productionDecreasing inflation at a higher rate than scenario 1Ethical ConsiderationsCompliance with ethical guidelines: All ethical principles have been observed in this article. All sources used in this article are mentioned. Regarding the method of collecting statistics and data used in the article, sources are also mentioned. …”
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Assessment of Economic, Technical, Social, and Environmental Impact of Flexibility-based Smart Microgrid Operation by Faezeh Gholipour Zarandi, Masoud Rashidinejad, Amir Abdollahi, Ali Yazhari Kermani

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A Reliability Assessment Method for Distribution Networks Based on Conditional Generative Adversarial Network and Multi-agent Reinforcement Learning by Huihui XU, Yunfei TIAN, Yuyang ZHAO, Jing PENG, Qingxin SHI, Rui CHENG

“…To enhance computational efficiency and accuracy in reliability assessment of distribution networks with large-scale distributed photovoltaic integration, a novel assessment method is proposed based on conditional generative adversarial network and multi-agent reinforcement learning. …”
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Advanced Numerical Analysis of Heat Transfer in Medium and Large-Scale Heat Sinks Using Cascaded Lattice Boltzmann Method by Fatima Zahra Laktaoui Amine, Mustapha El Alami, Elalami Semma, Hamza Faraji, Ayoub Gounni, Amina Mourid

“…This study employs the Cascaded Lattice Boltzmann Method (CLBM) to enhance their thermal performance. …”
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Heat transfer optimization in magnetohydrodynamic buoyancy-driven convective hybrid nanofluid with carbon nanotubes over a slippery rotating porous surface by Thirupathi Thumma, Surender Ontela, Devarsu Radha Pyari, S.R. Mishra, Subhajit Panda

“…The current study establishes that the liquid momentum is controlled for the slip flow, thus with the slip condition, the amount of retardation is much higher in comparison with the no-slip condition, and the temperature of the hybrid nanofluid has been raised by a greater heat source coefficient and radiation factor. Further, the sensitivity and optimization analysis of the heat transmission rate is carried out using RSM with face-centered central composite design model of experiments. …”
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Time-division prediction method for peak power of distributed new energy access power grid based on ARIMA–RBF by Yangrui Zhang, Junpeng Zhao, Chao Zhang, Bingyu Zhang, Xiaoyu Liu, Shaokang Feng

“…Historical power data are selected using a similar-day method and segmented into different periods using the Fisher optimal division method. …”
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A Fault Diagnosis Method for Dry Vacuum Pump Bearing Based on Finite Element Simulation With Deep Transfer Learning by Yanfeng Wei, Haibin Liu, Min Wei, Mingfei Li

“…First, finite element simulation is used to model the bearing dynamics and create a fault dataset to address data collection challenges and verify the feasibility of the method. Secondly, an attention mechanism is introduced in the feature extraction layer, combined with a deep transfer learning framework based on domain adversarial networks, to optimize feature extraction and align source and target domain features, thereby improving the accuracy of fault diagnosis and model generalization ability. …”
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Gearbox fault diagnosis method based on adaptive multi-sensor data level fusion and fine-grained domain adaptation by Yabin Shi, Gaige Chen, Lin Li, Xiaozheng Jin, Jian Zheng, Zhongquan Li

“…This paper introduces an adaptive multi-sensor data level fusion and fine-grained domain adaptation approach (AMDFFDA) to improve gearbox fault diagnosis. The method enhances performance across different operational conditions by combining multi-sensor data fusion at the data level with domain adversarial techniques. …”
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Vessel Type Recognition Using a Multi-Graph Fusion Method Integrating Vessel Trajectory Sequence and Dependency Relations by Lin Ye, Xiaohui Chen, Haiyan Liu, Ran Zhang, Bing Zhang, Yunpeng Zhao, Dewei Zhou

“…To address this limitation, our study introduces a novel multi-graph fusion representation method that integrates both trajectory sequences and dependency relationships to optimize the task of vessel type recognition. …”
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