This study explored the unique integration of mathematics tutors in teaching high school mathematics in a Virtual mathematics school (VMS). The tutors were three excelling STEM students who did not have any formal preparation for teaching before their work in the VMS. The goal of the study presented in this paper was to design a model of proficiency for these tutors. The model was designed using multiple case study methodology by tracking the learning through teaching of the tutors. Activity theory (Leontiev, 1978) framed the design of the study and led to a "goal-action" model of the tutors' proficiency in the VMS. The goals part of the model is rooted in the construct of students' mathematical potential (Leikin, 2021), and the action part was unraveled using the construct of a Teaching Triad (Jaworski in (1), 8-14, 1992). In this paper, we illustrate how our model can be used to analyze changes in the tutors' proficiency, and how it can be applied to descriptive, explanatory, and analytical power.
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http://dx.doi.org/10.1007/s10763-022-10300-7 | DOI Listing |
Mod Pathol
January 2025
Interdisciplinary Oncology, University of British Columbia, Vancouver, BC, Canada; MAPcore, University of British Columbia, Vancouver, BC, Canada. Electronic address:
Assessment of the tumor immune microenvironment can be used as a prognostic tool for improved survival and as a predictive biomarker for treatment benefit, particularly from immune modulating treatments including cytotoxic chemotherapy. Using Digital Spatial Profiling (DSP), we studied the tumor immune microenvironment of 522 breast cancer cases by quantifying 35 immune biomarkers on tissue microarrays from the MA.5 phase III clinical trial.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Curtin School of Allied Health, Curtin University, Perth 6102, Australia.
In hospitals, timely interventions can prevent avoidable clinical deterioration. Early recognition of deterioration is vital to stopping further decline. Measuring the way patients position themselves in bed and change their positions may signal when further assessment is necessary.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Industrial Engineering and Mathematical Sciences, Polytechnic University of Marche, 60131 Ancona, Italy.
The acoustic analysis of a moving object, such as in pass-by or fly-over tests, is a very important and demanding issue. These types of analyses make it possible to characterize the machine in quite realistic conditions, but the typical difficulties related to source localization and characterization are usually exacerbated by the need to take into consideration and to compensate for the object movement. In this paper, a technique based on acoustic beamforming is proposed, which is applicable to all those cases where the object under investigation is moving.
View Article and Find Full Text PDFMetabolites
December 2024
Department of Data Science and Knowledge Discovery, Simula Metropolitan Center for Digital Engineering, 0130 Oslo, Norway.
: Metabolomics measurements are noisy, often characterized by a small sample size and missing entries. While data-driven methods have shown promise in terms of analyzing metabolomics data, e.g.
View Article and Find Full Text PDFJ Bone Oncol
February 2025
School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, 362001, China.
Objective: Segmenting and reconstructing 3D models of bone tumors from 2D image data is of great significance for assisting disease diagnosis and treatment. However, due to the low distinguishability of tumors and surrounding tissues in images, existing methods lack accuracy and stability. This study proposes a U-Net model based on double dimensionality reduction and channel attention gating mechanism, namely the DCU-Net model for oncological image segmentation.
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