Review on Heat Transfer Enhancement Methods of Latent Heat Storage Technology;Key Laboratory of Refrigeration and Cryogenic Technology of Zhejiang Province by Zhang Chunwei, Chen Jing, Wang Chenggang, Jing Zhuo, Zhang Xuejun, Jiang Long

“…In this review, heat transfer enhancement methods, namely single heat transfer enhancement technology, combined heat transfer enhancement technology, multi-stage heat transfer enhancement technology, and liquid PCM flow enhancement technology, are briefly classified. …”
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Optimizing Smart Grid Load Forecasting via a Hybrid Long Short-Term Memory-XGBoost Framework: Enhancing Accuracy, Robustness, and Energy Management by Falah Dakheel, Mesut Çevik

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Optimizing FACTS Device Placement Using the Fata Morgana Algorithm: A Cost and Power Loss Minimization Approach in Uncertain Load Scenario-Based Systems by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Ali Fayez Alkoradees, Arpita, Aseel Smerat

“…The main advantage for readers is that FATA provides a reliable and efficient way to optimize power systems. Future work could also investigate the application of FATA in real time, as well as in larger power networks with more renewable energy sources.…”
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Mapping 30-m cotton areas based on an automatic sample selection and machine learning method using Landsat and MODIS images by Zhuting Tan, Zhengyu Tan, Juhua Luo, Hongtao Duan

“…Specifically, the cropland in this study was extracted by using an object-oriented classification method with Landsat images and the results were optimized as the vectorized boundary of croplands. …”
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A Comprehensive Review of Thermal Management Methods and Ideal System Design for Improved Electric Vehicle Battery Pack Performance and Safety by M. Murugan, P. V. Elumalai, KCK Vijayakumar, M. Babu, K. Suresh Kumar, M. Ganesh, Liu Kuang, S. Prabhakar

“…In conclusion, it is a source of material for research scholars, engineers, and policymakers in charge of developing EVs by synthesizing what already exists, highlighting trends at current times, and outlining possible future directions in the continuum of optimizing TMS for the next generation of driving automobile transportation batteries.…”
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Diagnosis Method for High-Speed Train Axle Box Bearing Slight Faults Based on Improved SAE and Temperature-Vibration Fusion by XU Xiao, SONG Dongli, WANG Zifan

“…［Objective］ The operating environment of axle box bearings in high-speed train is complex and changeable, and the diagnostic accuracy of single-source signals for weak faults is insufficient. To improve the diagnostic accuracy of early weak fault of axle box bearing, it is necessary to study a diagnosis method for high-speed train axle box bearing slight fault driven by temperature-vibration feature fusion, in combination with the multi-source fault information of bearing temperature and vibration. …”
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Diagnosis Anthracnose of Chili Pepper Using Convolutional Neural Networks Based Deep Learning Models by Hae-In Kim, Ju-Yeon Yoon, Ho-Jong Ju

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Neuroprotective Mechanisms of <i>Red Algae</i>-Derived Bioactive Compounds in Alzheimer’s Disease: An Overview of Novel Insights by Tianzi Wang, Wenling Shi, Zijun Mao, Wei Xie, Guoqing Wan

“…Emerging extraction technologies—including microwave- and enzyme-assisted methods—have been shown to optimize the yield and maintain the bioactivity of these compounds. …”
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A multi-objective deep reinforcement learning method for intelligent scheduling of wind-solar-hydro-battery complementary generation systems by Yuanyu Ge, Jun Xie, Jiaqi Chang, Shuo Feng

“…Simulation results indicate that the proposed intelligent scheduling method effectively achieves multi-objective scheduling for the WSHBCS, outperforming traditional heuristic optimization methods in terms of multi-objective optimization performance, uncertainty adaptability, and solution time.…”
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Energy Storage Regulation Method of Base Stations in 5G Integrated Distribution Network Based on Energy Sharing and Trading Coordination by Yanru WANG, Xiyang YIN, Qinghai OU, Wenjie MA, Hui LIU, Zhigang DU

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Information Bottleneck-Based Domain Adaptation for Hybrid Deep Learning in Scalable Network Slicing by Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle

“…In this paper, we propose a novel hybrid deep learning algorithm called IDLA (integrated deep learning with the Lagrangian method). This integrated approach aims to enhance the scalability, flexibility, and robustness of slicing resource allocation solutions by harnessing the high approximation capability of deep learning and the strong generalization of classical non-linear optimization methods. …”
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Effects of Culture Conditions on the Growth of Dominant Strain ZLX10 from Cigar by Yong PAN, Beibei ZHANG, Yabin ZHOU, Jie HU, Yuhui JING, Linlin LI, Youyi HUANG, Jian WANG

“…At the same time, the composition of culture medium (carbon source, nitrogen source and inorganic salt) and culture conditions (inoculation amount, liquid content and seed age) were optimized through single factor and orthogonal test to improve its biomass.…”
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Review on key technologies for coordinated operation of microgrid cluster by LOU Guannan, WANG Lei, LIN Da, DU Yuhua

“…With the large-scale integration of distributed renewable energy （DRE）， the operational complexity and control difficulty of microgrid cluster significantly increase. A reasonable multi-source coordinated control strategy is critical to ensuring the stable， reliable， and efficient operation of the system and is also the foundation for achieving optimal configuration and intelligent scheduling. …”
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Evaluation and estimation of changes in water quality using zoning map and researchers-developed software (case study: Pir-Bazar river) by Majid Homami, Seyed Ahmad Mirbagheri, Seyed Mehdi Borghei, Madjid Abbaspour

“…In this research, zoning maps were prepared and the status of present and future water quality parameters of the basin were accurately estimated using a researchers software-developed application and the five interpolation methods of Kriging, S-PLUS, polynomial regression, inverse distance to power, and local polynomial; and finally the optimal method was selected through a root-mean-square error (RMSE) based cross validation approach.  …”
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Synthesis and optimization of low-cost metal-organic frameworks from melamine and bauxite for efficient removal of bromocresol green from water using response surface methodology by Mahdieh Chegeni, Mohanna Chegeni, Maedeh Nazari, Ghazal Ebrahim Zade

“…Sustainable chemistry is an important subject in the research area, so the metal-organic framework (MOF) was synthesized through the solvothermal method with bauxite as a natural source of metal and melamine as a ligand. …”
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A tool for automatic parallelization of affine programs for systems with shared and distributed memory by Sh. G. Magomedov, A. S. Lebedev

“…The implementation of developed methods is done in Haskell within the source-to-source translator performing automatic parallelization. …”
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Revolutionizing Molecular cloning: Introducing FastCloneAssist, a Streamlined Python tool for optimizing primer design in restriction &amp; ligation-independent PCR cloning. by Pradip Kumar Singh, Michael S Donnenberg

“…FastCloning, a paradigm shift in PCR cloning, has streamlined the process by eliminating laborious, multi-step traditional methods. This innovative technique, pioneered by Li et al. (2011), utilizes overlapping PCR primers and DpnI digestion for seamless integration of insert DNA into any desired vector position, regardless of restriction sites. …”
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Simulation study of the influence of water equivalent ratio energy dependence of absorber materials on measurement of multilayer ionization chamber by GU Shuaizhe, CHEN Zhiling, LIN Ye, LIU Qi, BAI Haobo, ZOU Yuhang, LI Xiufang, LI Deming

“…BackgroundThe Multilayer Ionization Chamber (MLIC) is an instrument in rapidly measuring the proton depth dose distribution, which is crucial for enhancing the efficiency of beam commissioning and daily quality assurance in treatment rooms.PurposeThis study aims to investigate the impact of the Water Equivalent Ratio (WER) energy dependence of various absorber materials on MLIC measurements, thereby improving the accuracy of depth dose distribution measurements.MethodsBased on the fixed beam source parameters in the beam therapy room of Shanghai Advanced Proton Facility (SAPT), a physical model of MLIC was constructed using Monte-Carlo method. …”
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Hand gestures classification of sEMG signals based on BiLSTM-metaheuristic optimization and hybrid U-Net-MobileNetV2 encoder architecture by Khosro Rezaee, Safoura Farsi Khavari, Mojtaba Ansari, Fatemeh Zare, Mohammad Hossein Alizadeh Roknabadi

“…Bayesian optimization is employed as the metaheuristic approach to optimize the BiLSTM model’s architecture. …”
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Exploiting collider bias to apply two-sample summary data Mendelian randomization methods to one-sample individual level data. by Ciarrah Barry, Junxi Liu, Rebecca Richmond, Martin K Rutter, Deborah A Lawlor, Frank Dudbridge, Jack Bowden

“…In this paper we describe a general procedure for optimally applying any two sample summary data method using one sample data. …”
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