全國中小學科展

2025年

DSUP: New Research On The Implementation Of Radioresistance In Cellular Systems

In radiation treatments and manned interplanetary space travel, radiation is one of the biggest problems. The radiotolerance of cancer cells makes it necessary to apply high doses to surrounding healthy tissues by subjecting the cells to heavy stress. With regard to space travel (which involves a minimum travel time of 6 months) (1,2) the danger concerns cosmic radiation which is capable of inducing genetic mutations that, in turn, can evolve into very serious pathologies, such as cancer, damage to dendrites consequently compromising synapses. The project is aimed at developing a technology that can address these issues and aims to make human DNA radioresistant. This study involves a nucleosome-binding protein called DSUP (Damage Suppressor Protein) unique to the tardigrade Ramazzottius Varieornatus and the subject of its radioresistance. It can theoretically safeguard genetic material damaged by radiation. *Internship theme at the Pino Torinese Astronomical Observatory and the DISIT-UPO Environmental Molecular Toxicology Laboratory. The study molecule: Numerous tests have been carried out through the "in silico" approach geared toward mathematical modeling of its protein structure and complex mechanisms of action simulated through artificial intelligence systems, followed by direct laboratory analysis involving biosynthesis of DSUP by genetically modified bacteria and related tests. Both approaches, applied synergistically, aim to make it accessible and useful for the protection of human health.

微生物燃料電池結合外加磁場與TiO2海綿--對於提升產電與柴油降解效率之潛能評估

柴油汙染已然造成嚴重的生態危機,我們藉由微生物快速生長與代謝有機物的特性,結合MFC解決油汙。將自製PVB-TiO2海綿加入MFC陽極反應室中,在兩側添加釹磁鐵形成外加磁場。為提升MFC代謝柴油效能,我們探討MFC電極種類、PVB-TiO2海綿的TiO2添加濃度、磁鐵數量與方向等參數。結果顯示,添加PVB-TiO2海綿(12 g/L)及外加相斥兩顆磁場,對COD降解率、平均輸出電壓、VFA代謝產量與柴油降解率,較未添加組有最顯著提升。分別達成COD降解率增為1.4倍、平均輸出電壓增為1.8倍、柴油降解率增為2.0倍之效果。預期本實驗未來能對柴油汙染提供解方,降低柴油洩漏對環境的衝擊。

Decoding Climate Resilience: Functional Profiling of Protein Phosphatase 2C Family Genes for Abiotic Stress Tolerance in Rice

Problem • Rice is the primary cereal crop consumed by nearly half the population worldwide • By 2050, there will be a 50% increase in demand for rice • The world’s poor populations depend more on rice, both for income and consumption, than any other food. Rice is the single-largest source of employment and income for rural people • Worldwide, 51–82% of agricultural crop yield is lost annually due to abiotic stress due to climate change • Climate change causes extreme temperatures, erratic rainfall, dangerous droughts, and increased salinity from rising sea levels Solution • To adapt to abiotic stress, rice has intricate signaling pathways, particularly those mediated by the phytohormone abscisic acid (ABA), that cause an increase in stress tolerance • Clade A genes of the Protein Phosphatase 2C (PP2C) gene family are known to be negative regulators of the ABA signaling pathway. • “Deleting” these genes activates the ABA pathway and increases stress tolerance in rice without inducing stress CRISPR gene editing technology is the ideal solution Research Goal • While the role of PP2C genes in stress response is recognized, there is a gap in understanding the specific genes within this family that contribute significantly to stress signaling. Furthermore, there is a need for a detailed investigation into the effects of targeted CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) genome editing on rice stress response pathways.

開發回收PET合成UiO-66並應用於催化合成羥甲香豆素

本研究利用乙二醇處理後的聚對苯二甲酸(PET)及氯氧化鋯,以創新的無溶劑方式”solvent-free PET-to-MOF conversion”合成一類金屬有機框架材料(MOF) ── UiO-66(Zr),並發現此材料可用於催化Pechmann condensation、以間苯二酚和乙醯乙酸乙脂合成羥甲香豆素。於190℃之環境下,乙二醇處理6小時的EG-PET可合成出晶型最接近模擬模型的UiO-66晶體;而我們開發的合成方法中,最佳的反應條件為反應物質量比(氯氧化鋯:PET)= 2:1、130℃合成24小時。 對於合成出的UiO-66(Zr),我將其進行了XRD、FTIR、BET、SEM檢測,結果符合UiO-66(Zr)的特徵;唯比表面積僅有約900 平方公尺/克,推測此方法合成出的材料之有機linker數量和一般UiO-66(Zr)有所差異。 對於催化合成羥甲香豆素之反應,我們首先發現UiO-66(Zr)可作為非勻相催化劑參與此反應;且實驗結果顯示,相較於溶劑熱合成的UiO-66(Zr),以本研究的方法所得之UiO-66(Zr)作為催化劑可得到更高產率的羥甲香豆素。

深度學習預測仿生複合材料的斷裂行為

本實驗主要透過程式模擬及數據分析,探討受力材料之裂紋走向。透過模擬,我們找出會影響裂紋發展的因素,如原斷裂紋的長寬比。於不同的的材料會影響裂紋走向,我們將材料設置為單一材料與兩種材料組成的複合材料進行探討,並將結果進行分類。此實驗有助不我們去理解同的初始裂紋對不材料後續的裂紋關係,目前也正在嘗試利用cGan系統預測複合材料與裂紋的關係,希望能預測出準確的結果。

探討藉由隧道奈米管(TNTs)傳遞Chromogranin-A對神經母細胞瘤細胞的影響及其相關機制

Previous research observed increased TNTs formation between hypoxic and normoxic neuroblastoma cells, aiding hypoxic cell survival. CHGA was identified as a potential factor in this process. This study compared CHGA expression and whether CHGA exists in TNTs in five cell lines, with SH-SY5Y showing the highest levels, followed by SK-N-BE(2)C, while the other three showed lower expression. Future studies will focus on the impact of CHGA on cell survival and its mechanisms.

高山生態群聚植物集中開花與昆蟲交互作用網絡之研究

本研究首度以植物學、花粉學、昆蟲學及生態統計學探討臺灣高山傳粉生態網絡。花季中期以蜂類為主,後期為蠅類。昆蟲及植物交互網絡緊密連結無子群體,仰賴優勢物種支撐。蜂期為高山薔薇、玉山櫻草、貓兒菊、信義雄蜂;蠅期為一枝黃花、貓兒菊、家蠅。此兩期昆蟲與植物的穩健性不足,蠅期更易崩解。蜂類訪花具多樣性,蠅類訪花較專一。因蜂類、蠅類習性與身體特徵不相同,蠅類對花展幅 (Visit Unit)大、花冠筒淺、花冠筒筒徑小、還原糖含量高、花粉及花蜜之間的距離大、柱頭面積小的植物較能專一攜帶其花粉。共用傳粉者帶來異種花粉,以GLMM分析同異種花粉數量變化關係,發現一起開花略助於授粉。貓兒菊已入侵成為優勢物種,花粉汙染90%的物種,必須移除。

自監督學習在臺灣手語辨識上之應用研究

在臺灣手語辨識,先前研究所使用的監督式學習需要大量標記樣本而限制可辨識詞彙量。為此,本研究借鑒自然語言處理領域中BERT 的遮罩想法,將未標記手語影片隨機遮蓋部分幀數,並讓模型學習預測被遮蓋的幀數以學習臺灣手語的特徵,並透過遷移學習來訓練辨識模型,此作法可克服現有臺灣手語資料缺少的問題。經過實驗,本研究訓練之詞彙辨識模型達成了242 個詞彙量,94.8%的準確率。 此外,先前研究皆未在手語句子翻譯上有成果。因此本研究基於預訓練模型,整合設計手語翻譯的系統,實驗中,系統在100 個句子的翻譯表現達到88%的準,且BLEU-4 分數取得20.98,證明自監督學習的方式在手語辨識、翻譯上是有效的。並展現出樣本需求少與辨識詞彙量可輕易擴大的潛力。

Synthesis of Nanocomposite Nanocellulose From Durio zibethinus L. and TiO2 NPs as Potential Food Packaging Antibacterial (E. coli Wild Type and Resistance)

According to the 印尼n Association of Olefin Aromatic and Plastic Industries/INAPLAS, 2019 national plastic consumption still relies on plastic packaging at 65% and surprisingly, around 60% of plastic waste is absorbed by the food and beverage industry. The waste has been widely sought to be environmentally friendly, one of which is by developing biodegradable packaging. The purpose of this research is to make durian peel cellulose nanocomposites impregnated with TiO2 NPs, to form antibacterial properties against E. coli wild type and resistance. In this research, there are research methods consisting of nanocomposite synthesis, PSA test, FTIR, physical characteristics test and resistance test. The results analyzed that the nanocomposite nanocellulose-TiO2 NPs was successfully made using a 1:1 ratio and had a particle size of 458.7 nm based on the PSA test, which is classified as a nano size. The success of nanocomposite synthesis was proven by the results of FTIR analysis, which showed the formation of 698.65cm-1 and 1633.99cm-1 spectra, indicating the peak of TiO2 NPs and O-H functional groups on TiO2 NPs, as well as 1028.98cm-1 and 1158.42cm-1 showing C-O and C-O-C bonds in cellulose. The antibacterial test performed showed no significant activity in disc diffusion and well diffusion tests against E. coli wild type and resistance. This is potentially caused by inhomogeneous particle size variation. Physical characteristics test showed that the tensile strength test (0.075 > 0.0125 MPa) Durio Nano-Pack is superior to styrofoam, but the compressive strength test (0.125 > 0.875 MPa) shows the opposite. In this study, nanocomposite has a potential innovation that provides good mechanical properties and has a dual function mechanically as bio-based food packaging and chemically as antibacterial. Further research is needed to improve the particle size homogeneity of nanocomposites, modify the impregnation method, so that it has the potential to develop multifunctional materials that excel in various applications.

基於特徵解耦的視覺轉換器之指靜脈辨識模型

發展安全且可靠的身份辨識技術是當今的重要議題,而指靜脈因其高安全性及難以偽造特性成為我們的主題。本研究提出一種基於Transformer模型架構的指靜脈辨識模型稱為GLA-FD,旨在解決現有技術對指靜脈影像特徵表示與提取的局限性。透過開發特徵解耦與重建模組(FDRM),模型能夠有效區分指靜脈的背景資訊與紋理特徵,並將其重新組合以提升辨識準確度。此外,本研究開發的全域-局部注意力模組(GLAM)能同時捕捉影像的全域與局部特徵,進一步強化模型對指靜脈特徵的理解。GLA-FD在FV-USM、PLUSVein-FV3、MMCBNU-6000、UTFVP、NUPT-FPV 資料集中的正確辨識率(CIR)達到100%、98.47%、99.75%、96.11%、99.82%,展現卓越的穩定性與泛化能力。此外,本模型在處理不同年齡層、國籍與影像模糊度的資料下,仍能保持高辨識準確度,顯示其在需要高安全性辨識的應用場景中具備廣泛的實用性。