https://ir.cnu.edu.tw/handle/310902800/1241 通識中心 Search the Channel s https://ir.cnu.edu.tw//simple-search https://ir.cnu.edu.tw/handle/310902800/34993 title: 生成式AI運用於語言教學之研究 abstract: 隨著AI風潮來襲，若說2023年是生成式 AI 的爆發年，2024年就是穩定發展的一年，現階段討論 AI 融入教學，重點也從認識教育AI工具邁向運用的階段。AI 融入教學的重點不再是認識生成式 AI有哪些功能，而是將生成式 AI運用在教學現場，更且進一步推展到應用生成式 AI 在個別變數的課堂情境。藉由智慧教學資源，生成式 AI 對於語言形式的教學素材或多媒體生成，有很高度的幫助，進而輔助教師在備課時不再受到教科書的侷限，可進行更多元、更貼近學生興趣的教學素材取樣，而且生成式 AI 工具除了可以納入備課流程，同時可以嵌入教學流程當中輔助教師，在教師分身乏術之時學生仍擁有一位教學互動的對象。本研究將聚焦於研究嘉南藥理大學教師運用生成式AI於語言教學的模式與樣態，透過培訓教師以熟悉 AI 工具，使用 AI 輔助教學工具和資源，整合 AI 工具於教學計劃中，觀察教師是否提升教學質量和多樣性，是否節省教師準備課程時間並兼顧個別學生的需求。 <br> Thu, 20 Feb 2025 06:02:01 GMT https://ir.cnu.edu.tw/handle/310902800/34916 title: Radiomics analysis for the prediction of locoregional recurrence of locally advanced oropharyngeal cancer and hypopharyngeal cancer abstract: PurposeBy radiomic analysis of the postcontrast CT images, this study aimed to predict locoregional recurrence (LR) of locally advanced oropharyngeal cancer (OPC) and hypopharyngeal cancer (HPC).MethodsA total of 192 patients with stage III-IV OPC or HPC from two independent cohort were randomly split into a training cohort with 153 cases and a testing cohort with 39 cases. Only primary tumor mass was manually segmented. Radiomic features were extracted using PyRadiomics, and then the support vector machine was used to build the radiomic model with fivefold cross-validation process in the training data set. For each case, a radiomics score was generated to indicate the probability of LR.ResultsThere were 94 patients with LR assigned in the progression group and 98 patients without LR assigned in the stable group. There was no significant difference of TNM staging, treatment strategies and common risk factors between these two groups. For the training data set, the radiomics model to predict LR showed 83.7% accuracy and 0.832 (95% CI 0.72, 0.87) area under the ROC curve (AUC). For the test data set, the accuracy and AUC slightly declined to 79.5% and 0.770 (95% CI 0.64, 0.80), respectively. The sensitivity/specificity of training and test data set for LR prediction were 77.6%/89.6%, and 66.7%/90.5%, respectively.ConclusionsThe image-based radiomic approach could provide a reliable LR prediction model in locally advanced OPC and HPC. Early identification of those prone to post-treatment recurrence would be helpful for appropriate adjustments to treatment strategies and post-treatment surveillance. <br> Wed, 25 Dec 2024 03:05:36 GMT https://ir.cnu.edu.tw/handle/310902800/34892 title: Downregulation of microRNA-326 enhances ZNF322A expression, transcriptional activity and tumorigenic effects in lung cancer abstract: Zinc finger protein ZNF322A is an oncogenic transcription factor. Overexpression of ZNF322A activates pro-metastasis, cancer stemness, and neo-angiogenesis-related genes to enhance lung cancer progression. However, the upstream regulator of ZNF322A is not well defined. Dysregulation of microRNAs (miRNAs) can mediate cancer cell growth, migration, and invasion to promote tumorigenesis. Here, we uncover the mechanism of miRNA-mediated transcriptional regulation in ZNF322A-driven oncogenic events. ZNF322A harbors several putative miRNA-binding sites in the 3'-untranslated region (UTR). We validated that miR-326 downregulated ZNF322A-3'-UTR luciferase activity and mRNA expression. Furthermore, miR-326 suppressed the expression of ZNF322A-driven cancer-associated genes such as cyclin D1 and alpha-adducin. Reconstitution experiments by ectopic overexpression of ZNF322A abolished miR-326-suppressed cancer cell proliferation and cell migration capacity. Moreover, miR-326 attenuated ZNF322A-induced tumor growth and lung tumor metastasis in vivo. Clinically, the expression of miR-326 negatively correlated with ZNF322A mRNA expression in surgically resected tissues from 120 non-small cell lung cancer (NSCLC) patients. Multivariate Cox regression analysis demonstrated that NSCLC patients with low miR-326/high ZNF322A profile showed poor overall survival. Our results reveal that the deregulated expression of miR-326 leads to hyperactivation of ZNF322A-driven oncogenic signaling. Targeting the miR-326/ZNF322A axis would provide new therapeutic strategies for lung cancer patients. <br> Wed, 25 Dec 2024 03:05:11 GMT https://ir.cnu.edu.tw/handle/310902800/34882 title: Effects of perioperative magnesium on postoperative analgesia following thoracic surgery: a meta-analysis of randomised controlled trials abstract: Objectives: To evaluate the analgesic effects of intravenous magnesium in patients undergoing thoracic surgery. Methods: Randomised clinical trials (RCTs) were systematically identified from MEDLINE, EMBASE, Google Scholar and the Cochrane Library from inception to May 1st, 2023. The primary outcome was the effect of intravenous magnesium on the severity of postoperative pain at 24 hours following surgery, while the secondary outcomes included association between intravenous magnesium and pain severity at other time points, morphine consumption, and haemodynamic changes. Results: Meta-analysis of seven RCTs published between 2007 and 2019, involving 549 adults, showed no correlation between magnesium and pain scores at 1-4 (standardized mean difference [SMD]=-0.06; p=0.58), 8-12 (SMD=-0.09; p=0.58), 24 (SMD=-0.16; p=0.42), and 48 (SMD=-0.27; p=0.09) hours post-surgery. Perioperative magnesium resulted in lower equivalent morphine consumption at 24 hours post-surgery (mean difference [MD]=-25.22 mg; p=0.04) and no effect at 48 hours (MD=-4.46 mg; p=0.19). Magnesium decreased heart rate (MD = -5.31 beats/min; p=0.0002) after tracheal intubation or after surgery, but had no effect on postoperative blood pressure (MD=-6.25 mmHg; p=0.11). There was a significantly higher concentration of magnesium in the magnesium group compared with that in the placebo group (MD = 0.91 mg/dL; p<0.00001). Conclusion: This meta-analysis provides evidence supporting perioperative magnesium as an analgesic adjuvant at 24 hours following thoracic surgery, but no opioid-sparing effect at 48 hours post <br> Wed, 25 Dec 2024 03:05:02 GMT