Browsing by Author "Lee, Mei-Hsuan"

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Effects of Thinking Style and Spatial Ability on Anchoring Behavior in Geographic Information Systems
(2013-07-01)
Wang, Dai-Yi
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Lee, Mei-Hsuan
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Sun, Chuen-Tsai
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資訊工程學系
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Department of Computer Science
The authors propose an instructional use for Google Earth (a GIS application) as an anchoring tool for knowledge integration. Google Earth can be used to support student explorations of world geography based on Wikipedia articles on earth science and history topics. We asked 66 Taiwanese high-school freshmen to make place marks with explanatory notes and summaries (known as anchors) to serve as geographic references; they used anchors that were predefined by their teacher for subsequent geographic searches. Our investigation focused on the processes used to create anchors, how the students used anchors to perform search tasks, and the roles of thinking style and spatial ability on learning processes and performance. The 671 generated anchors were categorized as direct, indirect, symbolic, temporal, spatial, and challenging. According to our results, students with legislative thinking style tendencies created the largest number of anchors but rarely used them for subsequent search tasks; executive-style students tended to make symbolic and temporal spatial geographic references and regularly used the teacher-created anchors and the anchors created by judicial-style students were evenly distributed across all categories. In addition, low-spatial ability students tended to create direct geographic references and to use predefined anchors for all problem types.
Landscape of Mitochondria Genome and Clinical Outcomes in Stage 1 Lung Adenocarcinoma
(2020-03-01)
Raghav, Lovely
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Chang, Ya-Hsuan
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Hsu, Yi-Chiung
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Li, Yu-Cheng
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Chen, Chih-Yi
Risk factors including genetic effects are still being investigated in lung adenocarcinoma (LUAD). Mitochondria play an important role in controlling imperative cellular parameters, and anomalies in mitochondrial function might be crucial for cancer development. The mitochondrial genomic aberrations found in lung adenocarcinoma and their associations with cancer development and progression are not yet clearly characterized. Here, we identified a spectrum of mitochondrial genome mutations in early-stage lung adenocarcinoma and explored their association with prognosis and clinical outcomes. Next-generation sequencing was used to reveal the mitochondrial genomes of tumor and conditionally normal adjacent tissues from 61 Stage 1 LUADs. Mitochondrial somatic mutations and clinical outcomes including relapse-free survival (RFS) were analyzed. Patients with somatic mutations in the D-loop region had longer RFS (adjusted hazard ratio, adjHR = 0.18, p = 0.027), whereas somatic mutations in mitochondrial Complex IV and Complex V genes were associated with shorter RFS (adjHR = 3.69, p = 0.012, and adjHR = 6.63, p = 0.002, respectively). The risk scores derived from mitochondrial somatic mutations were predictive of RFS (adjHR = 9.10, 95%CI: 2.93-28.32, p < 0.001). Our findings demonstrated the vulnerability of the mitochondrial genome to mutations and the potential prediction ability of somatic mutations. This research may contribute to improving molecular guidance for patient treatment in precision medicine.