A diode-end-pumped continuous-wave (CW) and passively Q-switched Ho, Pr:LiLuF (Ho, Pr:LLF) laser operation at 2.95 μm was demonstrated for the first time, to the best of our knowledge. The maximum CW output power was 172 mW. By using a monolayer graphene as the saturable absorber, the passively Q-switched operation was realized, in which regimes with the highest output power, the shortest pulse duration, and the maximum repetition rate were determined to be 88 mW, 937.5 ns, and 55.7 kHz, respectively. The laser beam quality factor M at the maximum CW output power were measured to be Mx2=1.48 and My2=1.47.
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http://dx.doi.org/10.1364/OL.42.000699 | DOI Listing |
Sci Rep
December 2024
School of Public Administration, Guangzhou University, Guangzhou, 510006, China.
The randomness and volatility of existing clean energy sources have increased the complexity of grid scheduling. To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance (ESG) big data platform, focusing on multi-objective scheduling optimization for clean energy. This work employs a combination of Particle Swarm Optimization (PSO) and Deep Q-Network (DQN) to enhance grid scheduling efficiency and clean energy utilization.
View Article and Find Full Text PDFSci Rep
December 2024
School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China.
A ridge-loaded staggered double-vane slow-wave structure is proposed for terahertz radiation sources employing a sheet electron beam. This slow-wave structure has the advantages of enhanced electric field and energy density distribution and improved interaction impedance in the beam-wave interaction region. High-frequency characteristics are investigated for the proposed slow wave structure and compared with those of the staggered double-vane slow wave structure.
View Article and Find Full Text PDFInt J Sports Physiol Perform
December 2024
Department of Physical Education and Sports, Institute of Biomedicine (IBIOMED), Universidad de León, León, Spain.
Purpose: This study aimed to analyze the competitive demands of mountain running races of varying lengths.
Methods: Sixty-six male athletes competed in Vertical race (∼3 km and ∼1000 m of total elevation change), Sky race (∼25 km and ∼3000 m of total elevation change), and SkyUltra race (∼80 km and ∼9000 m of total elevation change). Exercise intensity and competition load (TL) were assessed using running power, heart rate, and rating of perceived exertion (RPE).
Int J Sports Physiol Perform
December 2024
School of Health Sciences, Western Sydney University, Campbelltown, NSW, Australia.
Purpose: The present study investigated the effect of unpleasant salty or bitter tastes on cycling sprint performance and knee-extensor force characteristics in different fatigue states.
Methods: Following a familiarization session, 11 trained male cyclists completed 3 experimental trials (salty, bitter, and water) in a randomized crossover order. In each trial, participants cycled at 85% of the respiratory compensation point for 45 minutes and then, after a 5-minute rest, completed a 1-minute sprint.
Sci Rep
December 2024
School of Electrical and Information, Hunan University, Changsha, 410083, China.
Accurately predicting solar power to ensure the economical operation of microgrids and smart grids is a key challenge for integrating the large scale photovoltaic (PV) generation into conventional power systems. This paper proposes an accurate short-term solar power forecasting method using a hybrid machine learning algorithm, with the system trained using the pre-trained extreme learning machine (P-ELM) algorithm. The proposed method utilizes temperature, irradiance, and solar power output at instant i as input parameters, while the output parameters are temperature, irradiance, and solar power output at instant i+1, enabling next-day solar power output forecasting.
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