Low Gain Avalanche Detector (LGAD) technology has been used to design and construct prototypes of time-zero detector for experiments utilizing proton and pion beams with High Acceptance Di-Electron ...Spectrometer (HADES) at GSI Darmstadt, Germany. LGAD properties have been studied with proton beams at the COoler SYnchrotron facility in Jülich, Germany. We have demonstrated that systems based on a prototype LGAD operated at room temperature and equipped with leading-edge discriminators reach a time precision below 50 ps. The application in the HADES, experimental conditions, as well as the test results obtained with proton beams are presented.
This study evaluated students' affective learning in an introductory computing course that was taught in Hong Kong once in a lecture format and twice in a rich interactive multimedia online format to ...414 college students in all. A simplified experience sampling method was used to assess affective learning at the midterm and end of each course in terms of intrinsic engagement (positive affect, perceived challenges, perceived skills in course activities), extrinsic engagement (performance expectations, performance goals, performance self-efficacy), and negative affect in course activities. Controlling for students' computing background and pre-enrollment academic ability, multivariate analysis of covariance indicated that, compared to lectures, e-learning modules fostered more intrinsic engagement, comparable extrinsic engagement, and more negative affect. Findings suggest directions for developing online courses that optimise both cognitive learning and affective learning.
We measure the lifetime of the $D_s^+$ meson using a data sample of 207 fb$^{-1}$ collected by the Belle II experiment running at the SuperKEKB asymmetric-energy $e^+ e^-$ collider. The lifetime is ...determined by fitting the decay-time distribution of a sample of $116\times 10^3$ $D_s^+\rightarrow\phi\pi^+$ decays. Our result is $\tau^{}_{D^+_s} = (498.7\pm 1.7\,^{+1.1}_{-0.8})$ fs, where the first uncertainty is statistical and the second is systematic. This result is significantly more precise than previous measurements.
We study the processes $e^{+}e^{–} → ωχ_{bJ}$(1P) (J=0, 1, or 2) using samples at center-of-mass energies $\sqrt{s}$ = 10.701, 10.745, and 10.805 GeV, corresponding to 1.6, 9.8, and 4.7 fb–1 of ...integrated luminosity, respectively. These data were collected with the Belle II detector during special operations of the SuperKEKB collider above the Υ(4S) resonance. We report the first observation of $ωχ_{bJ}$(1P) signals at $\sqrt{s}$ = 10.745 GeV. By combining Belle II data with Belle results at $\sqrt{s}$ = 10.867 GeV, we find energy dependencies of the Born cross sections for $e^{+}e^{–} → ωχ_{b1,b2}$(1P) to be consistent with the shape of the Υ(10753) state. These data indicate that the internal structures of the Υ(10753) and Υ(10860) states may differ. Including data at $\sqrt{s}$ = 10.653 GeV, we also search for the bottomonium equivalent of the X(3872) state decaying into ωΥ(1S). No significant signal is observed for masses between 10.45 and 10.65 GeV/c2.
We present the study of a fuzzy clustering algorithm for the Belle II electromagnetic calorimeter using Graph Neural Networks. We use a realistic detector simulation including simulated beam ...backgrounds and focus on the reconstruction of both isolated and overlapping photons. We find significant improvements of the energy resolution compared to the currently used reconstruction algorithm for both isolated and overlapping photons of more than 30% for photons with energies
E
γ
<
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and high levels of beam backgrounds. Overall, the GNN reconstruction improves the resolution and reduces the tails of the reconstructed energy distribution and therefore is a promising option for the upcoming high luminosity running of Belle II.
This paper evaluates the effectiveness of Web–based, highly interactive, and multimedia–rich e–learning materials by comparing students’ learning outcomes in the lecture and online versions of an ...introductory computing course. The course versions differed only in that face–to–face lectures were replaced with e–learning modules in the online course; the other course elements (laboratory sessions, use of computer–mediated communications, examinations) were the same. The e–learning trial took place at the Hong Kong University of Science and Technology, where the first author taught the lecture course to 105 students, and the online course to 180 and 129 students in the following semesters. The lecture and online students achieved comparable factual learning outcomes and the online students outperformed the lecture students in applied–conceptual learning. Findings suggest that the use of carefully designed interactive e–learning modules fosters higher–order learning outcomes.
This paper presents the results of a study of the relationships between the personality types of a group of English as a foreign language (EFL) students in Indonesia and various measures of their ...academic performance in a semester‐long course including a series of EFL language measures.
Students were the entering class of English majors (N=76) at a university in Indonesia in the fall of 1991. We tracked them through their performance in an Integrated Course, a 9‐hour‐per‐week intensive basic course they needed to pass in order to move on to any second semester or higher course. The course is team‐taught in 3 sections of students, with 3 teachers teaching each section.
We gave the students the Myers‐Briggs Type Indicator (MBTI), which had been translated into Indonesian. We report and discuss the validity and reliability of using this as a measure of students’ personality types. In addition, we tested the students monthly on reading comprehension, vocabulary, grammar, and writing.
Results show that these EFL students are almost evenly divided between Extraverts and Introverts, with over 50% of the students being 1 of 2 (out of 16 possible) types: ESTJ (37%), ISTJ (21%). The distribution of types for these EFL students is similar to those of ESL students in similar studies. Although extraversion and introversion are related to vocabulary and composite course scores, there are few other direct relationships between learners’ personality types and their language performance. We discuss implications for further research, as well as for EFL/ESL classrooms.
We present the study of a fuzzy clustering algorithm for the Belle II electromagnetic calorimeter using Graph Neural Networks. We use a realistic detector simulation including simulated beam ...backgrounds and focus on the reconstruction of both isolated and overlapping photons. We find significant improvements of the energy resolution compared to the currently used reconstruction algorithm for both isolated and overlapping photons of more than 30% for photons with energies E < 0.5 GeV and high levels of beam backgrounds. Overall, the GNN reconstruction improves the resolution and reduces the tails of the reconstructed energy distribution and therefore is a promising option for the upcoming high luminosity running of Belle II.
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