葡萄糖醛酸转移酶UGT1A3的特异性探针底物及其应用

带填

最後一哩課程對四技護生學習成效之探究 The Implementation and Learning Effects of Last-Mile Curriculum among Nursing Students of a Four-Year Technology College

本研究旨在探討「最後一哩」課程介入，對四技護生專業能力、專業承諾及工作愉悅感之學習成效。採量化研究為主，以橫斷式調查研究設計，輔以質化研究取徑。以立意取樣方式，選取北部某技術學院四技護理系學生共114 人為研究對象，運用「護理專業能力量表」、「護理專業承諾量表」、「工作愉悅感量表」及反思日誌為研究工具，進行資料的蒐集。研究發現：最後一哩課程的介入對護生的專業能力、專業承諾及工作愉悅感均具成效。本研究結果可提供護理教育課程規劃之有效參酌。 The purpose of this study was to investigate the learning effects of the Last-Mile Curriculum on the professional competence, professional commitment, and sense of work excitement of college nursing students using both quantitative and qualitative methods. The purposive sampling consisted of 114 nursing students from a four-year technology college in Northern Taiwan. Three quantitative instruments were used, including self-administered questionnaires of the nursing professional competence scale, the nursing professional commitment scale, and the sense of work excitement scale for data collection before and after the whole Last-Mile clinical practice curriculum. Reflection journals were also used as qualitative supplements for this study. The results showed positive effects on the implementation of the Last-Mile Curriculum on the professional competence, professional commitment, and sense of work excitement of nursing students. Therefore, the results of this study provide useful references for future course planning of nursing education.\u

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors