499 research outputs found

    Effects of Post Treatments on Bismuth-Doped and Bismuth/ Erbium Co-doped Optical Fibres

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    Bismuth-doped and bismuth/erbium co-doped optical fibres have attracted much attention for their great potential in the photonic applications at ultrawide O, E, S, C and L bands. The effects of post treatments, including various heating, high energy ray radiation, laser radiation and H2 loading processes, on these fibres’ performance, functionality and stability have been experimentally studied. Experimental results demonstrate that these post treatments could allow us to get insights regarding the formation and the structure of bismuth active centre (BAC) and be used to control and regulate the formation of BAC

    BAC Photobleaching in Bismuth-Doped and Bismuth/Erbium Co-Doped Optical Fibers

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    Bismuth-doped optical fiber (BDF) and bismuth/erbium co-doped optical fiber (BEDF) have attracted much attention due to their ultra-broadband luminescence in the near-infrared (NIR) region. The photobleaching effect on bismuth active centers (BACs) related to the NIR luminescence has been systematically investigated and summarized, in terms of irradiation intensity, irradiation wavelength, and temperature. All these findings not only give the deep insights into the fundamental structure of BACs but also provide an effective way to control the BACs. They play an important role for the development of BDF- and BEDF-based devices with high performance and stability under laser exposure in future

    TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise

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    Large Language Models (LLMs) exhibit impressive reasoning and data augmentation capabilities in various NLP tasks. However, what about small models? In this work, we propose TeacherLM-7.1B, capable of annotating relevant fundamentals, chain of thought, and common mistakes for most NLP samples, which makes annotation more than just an answer, thus allowing other models to learn "why" instead of just "what". The TeacherLM-7.1B model achieved a zero-shot score of 52.3 on MMLU, surpassing most models with over 100B parameters. Even more remarkable is its data augmentation ability. Based on TeacherLM-7.1B, we augmented 58 NLP datasets and taught various student models with different parameters from OPT and BLOOM series in a multi-task setting. The experimental results indicate that the data augmentation provided by TeacherLM has brought significant benefits. We will release the TeacherLM series of models and augmented datasets as open-source.Comment: 5 figures, 15 page

    Leakage current simulations of Low Gain Avalanche Diode with improved Radiation Damage Modeling

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    We report precise TCAD simulations of IHEP-IME-v1 Low Gain Avalanche Diode (LGAD) calibrated by secondary ion mass spectroscopy (SIMS). Our setup allows us to evaluate the leakage current, capacitance, and breakdown voltage of LGAD, which agree with measurements' results before irradiation. And we propose an improved LGAD Radiation Damage Model (LRDM) which combines local acceptor removal with global deep energy levels. The LRDM is applied to the IHEP-IME-v1 LGAD and able to predict the leakage current well at -30 ∘^{\circ}C after an irradiation fluence of Φeq=2.5×1015 neq/cm2 \Phi_{eq}=2.5 \times 10^{15} ~n_{eq}/cm^{2}. The charge collection efficiency (CCE) is under development

    Measurement of psychological inflexibility: an examination of the psychometric properties of the AAQ-3 compared to AAQ-II

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    Abstract Due to the limitations of the existing measurements of experiential avoidance, we would like to check the validity of the improved version of Acceptance and Action Questionnaire–II (AAQ-II), i.e., Acceptance and Action Questionnaire–3 (AAQ-3), in Chinese content. The present study was aim to examine the construct and validity of the Chinese version of AAQ-3 in college students and provide an initial validation of this instrument to promote future cross-cultural examination of the psychological flexibility. Totally 1,572 college students were invited to complete the Chinese AAQ-3 and the related questionnaires at the same time. After one month, 380 participates were assessed with same questionnaires to examine the test-retest reliability. The results indicated a similar one-factor solution in the Chinese AAQ-3 to the original version by exploratory factor analysis, parallel analysis and confirmatory factor analysis. Internal consistency and test–retest reliability were good. According to the testing of the measurement invariance, the one-factor model was acceptable across gender (Man = 875, Girl = 697). Additionally, Chinese AAQ-3 was significantly negatively correlated with positive mental health (life satisfaction, mindful attention awareness), significantly positively correlated with negative emotions (depression, anxiety, stress), and significantly positively correlated with AAQ–II and Brief Experiential Avoidance Questionnaire (BEAQ). Besides, Chinese AAQ-3 was the strongest predictor of depression, anxiety, stress and life satisfaction compared to the AAQ-II and BEAQ. However, according to the exploratory structural equation model, the Chinese AAQ-3 demonstrated excellent discriminate validity from negative emotions. Overall, the AAQ-3 modified the limitations of the existing measurements of experiential avoidance (i.e., AAQ-II and BEAQ) as it showed better convergent validity with positive mental health indicators, better discriminant validity with negative emotions, and higher incremental validity. Therefore, the Chinese AAQ-3 is a valid measurement tool for assessing the level of experiential avoidance or psychological flexibility in Chinese college students
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