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  1. 1941

    Enhanced energy management in smart microgrids using hybrid optimization and demand response strategies by Lei Yang, Lile Wu, Genzhu Li

    Published 2025-03-01
    “…In addition, a two-stage adjustable robust optimization model is introduced, supporting day-ahead planning that ensures secure and cost-effective energy management even under significant uncertainties in renewable energy production. …”
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    Article
  2. 1942

    Application Future-studie in development of urban tourism of structural analysis and scenario writing (Case study: khoy city) by hadi nagibi, adel sherizadeh

    Published 2023-09-01
    “…This calls for a new and integrated planning to take advantage of opportunities and face the challenges ahead. Future studies can take very effective steps in planning for the development of urban tourism and mapping out the desired future of tourism, and by presenting proper solutions, it can stop the emergence of challenges and the realization of an undesirable future. …”
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    Article
  3. 1943

    State-of-the-Art Review of Emerging Trends in Renewable Energy Generation Technologies by Hans Tiismus, Vahur Maask, Victor Astapov, Tarmo Korotko, Argo Rosin

    Published 2025-01-01
    “…Notable examples of maturing technologies with significant deployment include agrivoltaics, floating photovoltaics, and floating wind, all of which are on track to becoming industrial standard practices. Looking ahead, the deployment of renewable energy technologies is expected to accelerate over the next decade, driven by rising demand, improved access to new energy resources, trends toward grid decentralization, expanding utility-scale energy storage solutions, and the economic benefits of co-located, multi-purpose installations.…”
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  4. 1944

    Will Artificial Intelligence (AI) Make the School Principal Redundant? A Preliminary Discussion and Future Prospects by Turgut Karakose

    Published 2024-06-01
    “…Developments in the world of Artificial Intelligence (AI) is full steam ahead in the wake of the fourth industrial revolution. …”
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    Article
  5. 1945

    A Mapping Method Fusing Forward-Looking Sonar and Side-Scan Sonar by Hong Liu, Xiufen Ye, Hanwen Zhou, Hanjie Huang

    Published 2025-01-01
    “…In modern ocean exploration, forward-looking sonar (FLS) provides real-time 2D imaging of the seabed ahead, but its detection range is relatively limited. …”
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    Article
  6. 1946

    Experimental data suggest between population reversal in the condition dependence of two sexually selected traits by Gergely Hegyi, Miklós Laczi, Gyula Szabó, Dóra Kötél, Fanni Sarkadi, János Török

    Published 2025-02-01
    “…We conclude that explaining why some ornaments are condition-dependent is still far ahead, and further, preferably experimental population comparisons would be helpful.…”
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  7. 1947
  8. 1948

    Chitosan as an Immunomodulating Adjuvant on T-Cells and Antigen-Presenting Cells in Herpes Simplex Virus Type 1 Infection by Bunsoon Choi, Do-Hyun Jo, A. K. M. Mostafa Anower, S. M. Shamsul Islam, Seonghyang Sohn

    Published 2016-01-01
    “…Our purpose of this study was to verify the function of chitosan as an adjuvant for immune regulation specifically under herpes simplex virus type 1 (HSV-1) infection. Ahead of HSV infection, chitosan, heat inactivated green fluorescent protein expressing HSV (G-HSV), and a combination of chitosan and G-HSV were used to pretreat ICR mice followed by HSV-1 infection. …”
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    Article
  9. 1949

    Multi-Timescale Modeling Framework of Hybrid Power Plants Providing Secondary Frequency Regulation by Yuxin Deng, Xin Fang, Ningchao Gao, Jin Tan

    Published 2024-01-01
    “…To address this challenge, this paper presents a generic modeling framework for HPPs that integrates steady-state optimization with dynamic control across multiple timescales, enabling seamless HPP participation in day-ahead and real-time markets and real-time control. …”
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  10. 1950

    A Feature-Extraction-Based Lightweight Convolutional and Recurrent Neural Networks Adaptive Computing Model for Container Terminal Liner Handling Volume Forecasting by Bin Li, Yuqing He

    Published 2021-01-01
    “…The abovementioned two deep learning experimental performances with FEB-LCR-ACM are so far ahead of the forecasting results by the classical machine learning algorithm that is similar to Gaussian support vector machine. …”
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  11. 1951
  12. 1952

    Analysis Methods for Aerodynamic Instability Detection on a Multistage Axial Compressor by Baofeng Tu, Xinyu Zhang, Jun Hu, Ming Zhong, Bing Xiong

    Published 2021-01-01
    “…The heterotopic variance analysis method can predict the aerodynamic instability ahead of the harmonic Fourier mean amplitude analysis method, and fewer circumferential measuring points were employed. …”
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    Article
  13. 1953

    Accident Analysis in Relation to Main Roof Structure When Longwall Face Advances toward a Roadway: A Case Study by Chang Liu, Zengqiang Yang, Peilin Gong, Kai Wang, Xiaoqiang Zhang, Junwen Zhang, Yulin Li

    Published 2018-01-01
    “…The result shows that when the workface advances close to roadways, the main roof breaks ahead of the workface and leads to instability of higher strata. …”
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    Article
  14. 1954

    Neuromodulation: clinical advances and future perspectives by ZHANG Jian⁃guo, XIE Hu⁃tao, YANG An⁃chao

    Published 2025-01-01
    “…Finally, it proposes future development directions in the field of neuromodulation, including expanding new indications, innovating target exploration models, updating treatment concepts, and conducting high⁃quality evidence⁃based medical research. Looking ahead, Chinese neuromodulation endeavors should seize current opportunities, achieve a leap from following to leading through continuous exploration and innovation, and make greater contributions to global brain health.…”
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  15. 1955

    The Behavioral Mechanism and Forecasting of Beijing Housing Prices from a Multiscale Perspective by Yan Li, Zhaoyang Xiang, Tao Xiong

    Published 2020-01-01
    “…More importantly, the mean absolute percentage errors (MAPEs) of the proposed EEMD-based hybrid approach are 5.62%, 7.24%, and 8.63% for one-, three-, and six-step-ahead prediction, respectively, consistently lower than the MAPE of the three competitors.…”
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  16. 1956

    Quantifying urbanization-induced dynamics of urban sprawl using spatial metrics method in Adama City, Ethiopia by Shimelis Sishah Dagne, Hurgesa Hundera Hirpha, Addisu Teshome Tekoye, Zenebe Reta Roba, Mitiku Badasa Moisa

    Published 2025-12-01
    “…Urban planners must therefore plan ahead to execute an effective implementation strategy that will keep up with the rate of urban sprawl.…”
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  17. 1957
  18. 1958

    Dual Polarized Dual Fed Vivaldi Antenna for Cellular Base Station Operating at 1.7–2.7 GHz by Marko Sonkki, Sami Myllymäki, Jussi Putaala, Eero Heikkinen, Tomi Haapala, Harri Posti, Heli Jantunen

    Published 2017-01-01
    “…The dual polarized dual fed Vivaldi is positioned 15 mm ahead from the reflector to improve directivity. …”
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  19. 1959

    Collision Avoidance in Circular Motion of a Fixed-Wing Drone Formation Based on Rotational Modification of Artificial Potential Field by Tagir Muslimov

    Published 2025-01-01
    “…A typical situation occurs when one of the drones in a circular formation needs to overtake the drone ahead. The reason for such an overtake may be due to a given geometry of the UAV formation, when this configuration of a given relative position of the drones has changed for some reason. …”
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  20. 1960

    Hybrid LSTM-PSO optimization techniques for enhancing wind power bidding efficiency in electricity markets by Viet Anh Truong, Ngoc Sang Dinh, Thanh Long Duong, Ngoc Thien Le, Cong Dinh Truong, Linh Tung Nguyen

    Published 2025-02-01
    “…The proposed hybrid approach seeks to enhance wind power bidding strategies, improving profitability by predicting optimal output power for day-ahead electricity markets. This method integrates Long Short-Term Memory (LSTM) with Particle Swarm Optimization (PSO), leveraging LSTM’s ability to predict the active movement tendencies of particles for more efficient and faster optimization. …”
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