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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Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP... by Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni, Talal Alqahtani, Asif Irshad Khan

“…Ground source heat pump (GSHP) has recently gained a great attention because of its efficient utilization of geothermal energy for building cooling and heating. …”
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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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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 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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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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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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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

“…Furthermore, ablation studies validated the contribution of each module within our method, and parameter sensitivity analyses highlighted their impact on the model’s effectiveness.…”
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Wide-field electromagnetic method for deep hot dry rock fracturing monitoring: penetrating thick low-resistivity overburden by Shiyin Gao, Shiyin Gao, Wubing Deng, Juncheng Wang, Juncheng Wang, Juncheng Wang, Juncheng Wang, Mingzuan Xu, Mingzuan Xu

“…Overcoming this challenge is critical for optimizing HF operations and ensuring reservoir efficiency.MethodsWe propose the wide-field electromagnetic method (WFEM) as a novel solution for real-time HF monitoring in shielded environments. …”
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Developing a method for root-zone soil moisture monitoring at the field scale using remote sensing and simulation modeling by Hamideh Noory, Morteza Khoshsima, Atsushi Tsunekawa, Mitsuru Tsubo, Nigussie Haregeweyn, Salar Pashapour

“…Because of the high cost and difficulties of operation and maintenance of in situ instrumentation over irrigated fields, fine-scale monitoring of soil moisture (SM) based on remote sensing and a simulation model may be a practical way to inform irrigation practices. We herein propose a method for integration of low-cost, available, multi-source data, including field data (crop, soil, and weather) and high-resolution satellite data (Sentinel-2 and Landsat-8) into a soil–water–atmosphere–plant (SWAP) model to provide daily, accurate surface- and root-zone SM at the field scale that can inform optimal management of irrigation water. …”
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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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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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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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Optimal DC-Link Voltage Mapping for SiC-Based EV Drives: Considering the Impact of a Synchronous Boost Converter by Sepideh Amirpour, Torbjorn Thiringer, Sima Soltanipour, Yu Xu

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Development of Theoretical Approaches to Determination of the Main Groups of Biologically Active Substances of Medicinal Plant Raw Materials by TLC Method by O. V. Trineeva

“…The aim of this work was to develop a theoretical approach to the choice of optimal conditions for the chromatographic separation of various groups of BAS of plant origin in a thin layer of sorbent.Materials and methods. …”
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A new method to retrieve relative humidity profiles from a synergy of Raman lidar, microwave radiometer, and satellite by C. Ji, Q. Jin, F. Li, Y. Liu, Z. Wang, Z. Wang, J. Mao, J. Mao, X. Ren, Y. Xiang, W. Jian, W. Jian, Z. Chen, Z. Chen, P. Zhao, P. Zhao

“…Our suggested method for RH profiling demonstrates optimal concordance with the best correction coefficients <span class="inline-formula"><i>R</i></span> of 0.94 in Huhehaote (HHHT), 0.92 in Yibin (YB), and 0.93 in Qingyuan (QY). …”
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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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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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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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