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Bank monitoring.
No full textPerformance and assessment aspects used by the three bank types. (DOCX)</p
Multiple linear regression between the categorical variables (gender, prior experience with online learning, and GPA), PNS and motivation scores.
No full textMultiple linear regression between the categorical variables (gender, prior experience with online learning, and GPA), PNS and motivation scores.</p
Sociodemographic characteristics of the respondents (<i>n</i> = 308).
No full textSociodemographic characteristics of the respondents (n = 308).</p
Model summary for performance (post-test).
No full textThe study explored the relationship between students’ attitude towards, and performance in mathematics word problems (MWTs), mediated by the active learning heuristic problem solving (ALHPS) approach. Specifically, this study investigated the correlation between students’ performance and their attitude towards linear programming word tasks (ATLPWTs). Tools for data collection were: the adapted Attitude towards Mathematics Inventory-Short Form (ATMI-SF), (α = .75) as a multidimensional measurement tool, and linear programming achievement tests (pre-test and post-test). A quantitative approach with a quasi-experimental pre-test, post-test non-equivalent control group study design was adopted. A sample of 608 eleventh-grade Ugandan students (291 male and 317 female) from eight secondary schools (both public and private) participated. Data were analyzed using PROCESS macro (v.4) for SPSS version 26. The results revealed a direct significant positive relationship between students’ performance and their ATLPWTs. Thus, students’ attitude positively and directly impacted their performance in solving linear programming word problems. The present study contributes to the literature on performance and attitude towards learning mathematics. Overall, the findings carry useful practical implications that can support theoretical and conceptual framework for enhancing students’ performance and attitude towards mathematics word problems.</div
Dynamical evolution of intra-thallus areas for the six conditions tested.
No full text(A) Time evolution of the total intra-thallus area S for experiments in each of the six conditions. The data points are represented with their errors (one point out of three) (see Section Materials and methods). The solid black line represents the linear fit and the grey shadowing quantifies one standard deviation. The fit was represented for condition 0 only to keep the figure clear. All the fitting values are in Table 3. (B) Time evolution of the number of intra-thallus areas Si (semi-logarithmic scale). See Table 4 for fitting values. (C) Evolution of the total intra-thallus area S as a function of the number of surfaces Si. The figure has been enlarged around the area of interest. Condition 0 only is cropped, with the maximum abscissa and ordinate point at 7330 and 52 respectively. (D) Same as (C) with an enlargement on the first points. Both arrows indicate the breaking points of the slopes visible in conditions 0 (red arrow) and 2 (blue arrow) respectively.</p
Subgroup analysis of ORR of ICIs plus chemotherapy in NSCLC.
No full textSubgroup analysis of ORR of ICIs plus chemotherapy in NSCLC.</p
Table shows 40 highest positive or negative correlations between personal effects of potassium and phosphorous with other personal effects.
No full textThis structure of correlations is used in estimating the personal effects based on personal intake and matching concentrations. (PDF)</p
Electron–Electron and Electron–Phonon Interactions in the Dynamics of Trap-Filling in Charged Quantum Dots
No full textWe
analyze theoretically the effects of electron–electron
and electron–phonon interactions in the dynamics of a system
of a few electrons that can be trapped in a localized state and detrapped
in an extended band state of a small quantum dot (QD) using a simple
model. In our model, the QD is described by one or two single-particle
energy levels, while the trap is described by one single-particle
level connected to the QD by a hopping Hamiltonian. Electron–electron
Coulomb repulsion and electron–phonon interactions are included
in the localized trap state. In spite of its simplicity, the time-dependent
model has no analytical solution, but a numerically exact one can
be found at a relatively low computational cost. Using values of the
parameters appropriate for defects in semiconductor QDs, we find that
the electronic motion is quasi-periodic in time, with oscillations
around mean values that are set in time scales of typically a few
tenths of picoseconds. We increase the number of electrons initially
in the QD from one to four and find that one electron is transferred
to the trap state for three electrons in the QD. At the more efficient
values of the electron–phonon coupling, these characteristics
are quite independent of the value of the electron–electron
Coulomb repulsion in the trap up to the value above which its infinite
limit is reached. We conclude that strong electron–phonon interaction
is an efficient mechanism that can provide the complete filling of
a deep trap state on a sub- to picosecond time scale, faster than
radiative exciton decay and Auger recombination processes. This leads
to a complete suppression of the luminescence to the deep trap state
and the accumulation of electrons in the QD
Changes in mobility and person-to-person contacts over time in St. Louis-St. Charles-Farmington, MO-IL.
No full textChanges in mobility and person-to-person contacts over time in St. Louis-St. Charles-Farmington, MO-IL.</p
Changes in mobility and person-to-person contacts over time in Seattle-Tacoma, WA.
No full textChanges in mobility and person-to-person contacts over time in Seattle-Tacoma, WA.</p