【研究發展處訊】

發表期刊論文名單如下：

• 人社院中國文學系 叢培凱助理教授
• 人社院政治學系 黃秀端教授
• 理學院數學系 林惠文教授

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人社院中國文學系 叢培凱助理教授

論文名稱：晚清英文教材中呈現的吳音及其音變探討

作    者：叢培凱

期刊名稱：清華中文學報（THCI）

卷期數：33

頁碼(文獻號碼) ：5-45

出版時間：2025.06

摘要：

晚清時期，中西交流頻繁，中國對於英文學習的需求大增，清人所編著的英文教材也應運而生。諸類教材的英語詞彙發音，多以漢字標註，須以粵音或吳音讀之，因此晚清英文教材的音註字實具有地域方音特徵。本文以近代吳音為研究主題，探討與此相關的教科書文獻，計有《英話註解》、《英字入門》、《英字指南》三種。本文分別以對音法、對譯規則法、方音對照法等角度，對於諸類文獻進行研究嘗試，討論近代上海入聲韻尾、寧波鼻音韻尾、「江浙通用字音」等議題，希冀藉由晚清英文教材，結合過往西方傳教士的方言紀錄，對於近代

吳音研究能有進一步的增益。

關鍵詞：晚清英文教材、漢字音註、近代吳音、音變 

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人社院政治學系 黃秀端教授

論文名稱：立法委員參選縣市長之政治野心與立法表現：一個機器學習的途徑

作    者：蔡承翰／黃秀端／陳宥辰

期刊名稱：行政暨政策學報（TSSCI）

卷期數：80

頁碼(文獻號碼)：39-70

出版時間：2025.06

摘要：

政治人物不管身在立法機關或行政機關，皆會有想要在其政治生涯轉換其職位並更上一層樓的野心。而政治人物的政治野心一直是國會研究關注的議題，國外之研究成果相當豐碩,國內卻少有相關文獻。在臺灣立法委員為了更上一層樓，會選擇參選縣市首長。本文想要探討，這些具有積極參選縣市長野心的立委，是否會在立法行為上有積極表現，也會積極地爭取媒體曝光？

本文以 2008 年至 2020 年的自由時報和中國時報為分析文本，並以機器學習的方式來進行文本分類，並輔以羅吉斯迴歸模型對立法委員參選縣市首長的政治野心進行測量，再以學者專家的評估來檢視其效度。

最後，本文嘗試探究政治野心與立法表現之間的關係。研究發現政治野心對立法表現有明顯的負面影響,尤其是在口頭質詢、委員會出席、法案預算審查、院會出席等立法表現。政治野心對於立法委員在第一提案人的立法表現上，則是沒有顯著的影響。

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理學院數學系 林惠文教授

論文名稱：Statistical Analysis of Tonal Acquisition in Disyllabic Words among Polish Learners of Mandarin: A Comparative Study.

作    者：Chu, MN (Chu, Man-Ni)／Chang, C (Chang, Carson)／Lin, HW (Lin, Hui-Wen)

期刊名稱：APPLIED SCIENCES-BASEL（SCI）

卷期數：14(14)

頁碼(文獻號碼) ：6095

出版時間：JUL 2024

摘要：

In this study, we utilized a mixture random effects model and pairwise comparisons to conduct our analysis. Furthermore, we employed visualization techniques, specifically line plots in Python, to illustrate the tonal variations in disyllabic words among Polish learners of Mandarin. Our findings indicate that Polish learners experience more difficulty with the tonal contours of Tone 1 (T1) and Tone 2 (T2) compared to Taiwanese Mandarin (TM) natives, particularly due to the lower pitch range required. We provide potential pedagogical recommendations based on these results. We suggest that integrating training on T1 and T2 accompanied with Tone 3 (T3) and Tone 4 (T4), because of their lower endpoint tones, may offer a more effective learning strategy for these learners.

理學院數學系 林惠文教授

論文名稱：Fast Screening of Tuberculosis Patients Based on Analysis of Plasma by Infrared Spectroscopy Coupled with Machine Learning Approaches.

作    者：Lin, M (Lin, Mei)／Lu, HC (Lu, Hsiao-Chi)／Lin, HW (Lin, Hui-Wen)／Pan, SW (Pan, Sheng-Wei)／Cheng, BM (Cheng, Bing-Ming)／ Tseng, TR (Tseng, Ton-Rong)／ Feng, JY (Feng, Jia-Yih)／ Ho, ML (Ho, Mei-Lin)

期刊名稱：ACS OMEGA（SCI）

卷期數：10(12)

頁碼(文獻號碼) ：11817-11827

出版時間：MAR 20 2025

摘要：

Prompt diagnosis of tuberculosis (TB) enables timely treatment, limiting spread and improving public health for this disease. Currently, a rapid, sensitive, accurate, and cost-effective detection of TB still remains a challenge. For this purpose, we engaged a transmission skill and an attenuated total reflectance (ATR) technique coupled with Fourier-transform infrared spectrometry (FTIR) to study the IR spectra of the plasma samples from TB patients (n = 10) and healthy individuals (n = 10). To ensure high-quality spectral data, spectra were collected in both transmission and ATR modes, with each measurement consisting of 256 scans at a resolution of 8 cm–1. For the transmission mode, measurements were repeated five times per sample, while ATR-FTIR measurements were repeated three times per sample. These parameters were carefully optimized through rigorous testing to achieve the highest possible signal-to-noise ratio for patient sample analysis. Using this method, we obtained a total of 100 spectra from 20 samples in the transmission mode and 60 spectra in the ATR-FTIR mode, ensuring sufficient data for robust spectral analysis. Further, we applied machine learning techniques to analyze and classify the IR spectra; by this means, we differentiated those spectra between TB patients and healthy ones. In this work, we modified the transmission-FTIR setup to improve the absorption sensitivity by focusing the IR light on the interface of the sample; while, we used a high-refractive-index crystal ZnSe as a medium to reflect the signals in ATR scheme. Routinely, we compared the spectra obtained from both methods; in their second derivative curves, we notified that there had distinct spectral differences in protein and lipid regions (3500–3000, 2900–2800, and 1700–1500 cm–1) between TB and healthy groups. Using three machine learning classifiers─Logistic Regression (LR), Random Forest (RF), and XGBoost (Xg)─we found that the Xg achieved an accuracy of 0.749, precision of 0.703, recall of 0.901, F1 score of 0.790, and an AUC of the ROC curve of 0.82 for absorption spectra in the 3500–2700 cm–1 region; additionally, the machine learning practice showed that ATR data possessed performance parameters of ∼ 80% in accuracy. We randomly assigned participants (rather than individual scans) to 80% training and 20% test sets to train and validate three machine learning models (LR, RF, and Xg). Based on the results, we concluded that the absorption spectroscopic method demonstrated its superior performance in TB diagnosis. Thus, we have showed that absorption-FTIR spectroscopy is a valuable tool for sorting the TB disease from patients. The spectral IR analysis of plasmas can complement clinical evidence and provides a rapid and accurate diagnosis of TB in clinic.

理學院數學系 林惠文教授

論文名稱：Association of physical functional activity impairment with severity of sarcopenic obesity: findings from National Health and Nutrition Examination Survey.

作    者：Huang, SW (Huang, Shih-Wei)／Lee, YH (Lee, Yu-Hao)／Liao, CD (Liao, Chun-De)／Escorpizo, R (Escorpizo, Reuben)／Liou, TH (Liou, Tsan-Hon)／Lin, HW (Lin, Hui-Wen)

期刊名稱：SCIENTIFIC REPORTS（SCI）

卷期數：14(1)

頁碼(文獻號碼) ：3787

出版時間：FEB 15 2024

摘要：

We aim to clarify the relationship between low skeletal muscle mass and varying levels of adiposity and to identify the types of physical function impairments associated with sarcopenic obesity (SO). This study examined cross-sectional data from the National Health and Nutrition Examination Survey with whole-body dual-energy X-ray absorptiometry (DXA) scans. The data included age, gender, DXA-assessed body composition, and physical functional activity with performing daily tasks by questionnaire. We subdivided the data by body composition into a non-SO group and a SO group (ASMI 0-49.99% and FMI of 50-100%), after which the SO data were subdivided into three classes. A higher class indicated higher adiposity and lower muscle mass. The physical function impairment of the two groups was compared. Our study examined 7161 individuals, of which 4907 did not have SO and 2254 had SO, and their data were further divided into three classes (i.e., class I, 826 individuals; class II, 1300 individuals; and class III, 128 individuals). Significant differences in demographics and DXA parameters were identified between the non-SO and SO groups (P < 0.001); the individuals with SO were older, included more women, and exhibited high adiposity and less lean muscle mass. The individuals with class III SO exhibited greater differences and reported more difficulty in performing daily activities. The individuals with class III SO exhibited the most severe physical function impairment. Our study highlights the considerable difficulties encountered by individuals with SO in performing daily activities. Given this finding, customized rehabilitation strategies should be implemented to improve the quality of life of individuals with SO.

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