全國中小學科展

三等獎

Utilizing Sparse Optimal Linear Feedback Control to Design Targeted Therapeutic Strategies for Enhancing Gut Microbiome Stability

According to the 2024 American Cancer Risk Survey, one in 24 individuals is at high risk of developing colon cancer. This condition is linked to gut microbiome instability. Consequently, there is a pressing need for a more effective and precise approach to maintaining gut microbiome stability, which this research aims to solve by finding the most crucial bacteria species in maintaining the stability of the gut microbiome through the application of Optimal Linear Feedback Control. Two of its variants being applied in this research are Sparsity Promoting Linear Quadratic Regulator (LQRSP) with a variety range of  (0.05, 44.58, and 49.84) and Linear Quadratic Regulator (LQR) ( = 0) along with other supporting methods; Controllability Gramian and Network Theory (graph analysis). The finding in this research shows that bacteria species Bacteroides hydrogenotrophica, Bacteroides uniformis, Bacteroides vulgaris, Bacteroides thetaiotaomicron, Escherichia lenta, and Dorea formicigenerans have an important role for preventing and medicating a variety of gut-related diseases. This conclusion is reinforced by the analysis conducted using the Controllability Gramian, displaying five of the chosen bacteria with the highest controllability index, which demonstrates that the system can be effectively controlled. This finding suggests a potential for enhancing therapeutic strategies, rendering them more precise and systematic. To gain deeper insights into the relationship between each bacteria and the rationale behind the selection of these bacteria by LQRSP, this study also employs network theory, which successfully elucidates the choice of Bacteroides uniformis despite its low controllability index. Additionally, to further validate the efficacy of these bacteria, the research develops a simulation that compares the controlled system with the uncontrolled system, utilizing two types of disturbances. The results indicate a significant difference in robustness against disturbances between the controlled and uncontrolled systems. The findings from this research can be used as a foundation for a more efficient and systematic intervention strategy findings. By researching gut microbiome composition regulation using a mathematical approach, it opens new opportunities for new method discoveries aiming to increase the health of the gut microbiome which is beneficial for the medical field and prevention of gut related diseases.

運用機器學習強化探測重力波訊號

本研究欲利用機器學習演算法,透過觀察重力波訊號來判斷黑洞融合訊號的時間。本研究 的數據來源於雷射干涉引力波天文台的開放資料庫,我從中獲取最被廣為認定的64筆原始數據,並生成具有不同黑洞質量與不同訊噪比的模擬信號。我將模擬信號與不同噪聲混合 後,進行強度調整、Q轉換和資料白化等數據處理,並提取資料的統計量,將其用於訓練三種決策樹演算法和兩種迴歸演算法中。最終研究結果顯示,決策樹演算法的判斷能力優於迴歸演算法,以及指出強度差值的標準差是最關鍵的特徵,重要性達全體特徵的27%。 我們的模型在重力波訊號判斷上表現出較高的效率,並成功降低了模型的複雜度,使其更適合實際應用。

基於LSTM行為與活動力之樂齡關懷系統

本研究開發基於RNN和LSTM的獨居者居家行為監控系統,利用樹莓派、多種無侵入式感測器及鏡頭實現獨居者日常活動的實時監控與情緒評估。系統收集各感應器數據,透過 LSTM 進行學習與預測,並使用隨機森林演算法分析行為狀態,提供客製化數據處理與預測性能優化。 長期數據收集可觀察獨居者的活動力及情緒變化,早期發現健康風險,針對現有求救設備頻繁異常通知的問題,我們開發了能夠識別長期身心狀況變化的監測系統,並整合人體紅外線感應器、都卜勒雷達感應器、日夜感測器等技術,透過Python程式及MQTT進行數據收集與處理。模型訓練使用SQLite資料庫數據,經過多次測試選擇最佳參數以提高預測準確度,隨機 森林演算法也強化決策準確性。 通過長期的數據收集和分析,本系統能夠觀察並預測獨居者的活動力和情緒的變化,早期發現獨居者的身心健康是否有風險。

探討在秀麗隱桿線蟲中IFE-1經由sRNA路徑對於精子生成機制的影響

sRNA在各種物種的精子功能中起著至關重要的作用。在秀麗隱桿線中,當缺少精子相關的sRNA「ALG-3/4 26G sRNA」會導致其在25度時不孕。此外,IFE-1是人類真核轉譯起始因子EIF4E的直系同源基因,主要表達於雄性生殖細胞系統中。在先前研究中我們觀察到當「真核轉譯起始因子IFE-1有缺陷」或「精子缺少相關sRNA」時,亦會導致精子具有缺陷。由於三者的相似性,我們認為IFE-1和26G sRNA的生成路徑有關。因此我們假設IFE-1參與協助酵素NYN-3辨認並切割msd-1 mRNA模板後促進26G sRNA生成。我們使用Western Blot、IP、螢光顯微鏡等方法,探討了IFE-1和MSD-1::GFP的關係,發現在ife-1正常的情況下,高溫對於MSD-1::GFP的表現量沒有影響。並且因該蛋白只表現在公蟲精子,我們可以推論msd-1:gfp 只作用於公蟲精子。而此疑似可正向調控基因表現的26G sRNA,有望發展成有別於過往sRNA藥物抑制基因表現的一種新基因治療方法。

The conspiracy mentality: its relationship with absurdity and ostracism

Conspiracy theories are generally perceived as irrational, absurd and as having a negative effect on our reputation. Yet some people do not see them as such. This may lead us to wonder why and how an individual would come to believe or support such statements. In this work, the primary goal is to obtain the level of absurdity of various conspiracy theories so that they can be used in experiments designed to test Williams' “Strategic Absurdity Hypothesis”. In addition, this study attempts to demonstrate the link between conspiracy mentality and feelings of ostracism. In this research, I analyzed a group of 47 participants recruited via social networks in May 2023. The survey collected their demographic information, their conspiracy mentality, their feeling of ostracism, their knowledge of conspiracy theories and their perception of absurdity toward them. The results were analyzed using correlations and linear regressions. The results show a negative correlation between conspiracy mentality and the perception of absurdity for most theories. In other words, the higher a participant's conspiracy mentality, the less absurd the theory is perceived to be. Therefore, hypothesis (I) is partially supported. On the other hand, hypothesis (II), which says that ostracism predicts conspiracy mentality, is not supported by the results. These results are in line with Williams' “Strategic Absurdity Hypothesis” and Sterelny's signaling theory, explaining that an individual, by expressing agreement with a conspiracy theory typically perceived as absurd, damages their reputation in the eyes of others to show that they belong to the group. However, for the theories relating to COVID-19 and climate change, the conspiracy mentality does not predict the vision of absurdity, suggesting that their currentness and media coverage influence whether they are used as signals. The literature does not fully agree with our results and still presents very divergent opinions regarding the links between feelings of ostracism and conspiracy mentality. Indeed, it remains difficult to determine whether conspiracy mentality influences ostracism or vice versa. In conclusion, this study provides new ideas for future research on the origins and impact of the conspiracy theories.

Flavored Nanofiber Strips Loaded with Amoxicillin as an Alternative Method for Treating Bacterial Infections in Children

Semisynthetic penicillin, Amoxicillin, is a broad-spectrum antibiotic that is widely used to treat bacterial infections in children suffering ear, nose, and throat infections, genitourinary tract infections, skin infections, and lower respiratory tract infections1. This antibiotic works against both gram-positive and gram-negative bacteria, such as Listeria monocytogenes, Haemophilus influenza, Streptococcus pneumonia , Streptococcus pyogene and Escherichia coli1,2. It shows antibacterial activity by inhibiting dd-transpeptidase, which maintains the integrity of the bacterial cell wall which results in bacterial cell death due to a fragile cell wall3. Nonadherence to medication was associated with 50% of drug-related hospitalizations in children4. In order to improve adherence and influence clinical outcome, it is important to acknowledge the importance of drug palatability to children4–6. The currently available liquid suspension form of this antibiotic is administered to patients through oral/GI routes. It is also available in capsules or tablets for adults7–9. In the gastrointestinal tract, the drug has to withstand variable pH conditions and enzymatic degradation , mucus and mucosal barriers to survive resulting in limiting drug bioavailability10,11. In addition to conventional drug delivery formulations, nanofibers can be used to deliver drugs orally, topically, and through buccal or transdermal routes12. Drug-loaded nanofibers offer many advantages as a delivery system, including their porous structure and their efficient delivery of various drugs and bioactive molecules including hydrophobic and hydrophilic drugs12–14. Considering that amoxicillin palatability can affect children patients’ compliance and due to the advantages of both nanofiber drug delivery system and drug delivery through buccal routes, hence, this project aims to prepare flavored electrospun nanofibers loaded with amoxicillin to mask the unpleasant taste of the drug for treating children with bacterial infection. Nanofibers loaded with amoxicillin can be applied between the child's gum and cheek, allowing the fibers to dissolve in mucus and penetrate directly into the bloodstream.

為視障者開發之學習輔助平台:結合Image-to-3D AI 模型之可觸式三維擴增實境顯示器與個人化之檢索增強生成(RAG)自然文字系統

全球約有9千萬的兒童是視障者,他們的學習依賴著點字器材。點字書難以傳達3D (三維)圖形的概念,讓他們在理解3D圖形有許多挑戰,而點字書過長的文字描述加大了他們與正常同儕之間的差距。本研究旨在開發一個學習輔助平臺,同時強化視障者的觸覺認知和文字圖形理解能力。 在強化觸覺認知方面,開發之系統能將傳統的圖片,利用影像轉3D之人工智慧建模(Image-to-3D AI model)技術,轉換圖片轉為3D,呈現在開發的擴增實境顯示器上,讓視障者能夠親身透過觸摸立體顯示器之3D模型,瞭解圖片表達的空間結構。在文字優化方面,利用微調大型語言模型與搜索式強化生成等方法,優化視障者閱讀之內容。系統開發過程中,二位視障者進行體驗,持續以修正系統設計的便利性、友善性與有效性。 本研究成果為視障者帶來新式個人化的學習輔助工具,增強視障者對立體圖形學習能力與文字理解。

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。

為視障者開發之學習輔助平台:結合Image-to-3D AI 模型之可觸式三維擴增實境顯示器與個人化之檢索增強生成(RAG)自然文字系統

全球約有9千萬的兒童是視障者,他們的學習依賴著點字器材。點字書難以傳達3D (三維)圖形的概念,讓他們在理解3D圖形有許多挑戰,而點字書過長的文字描述加大了他們與正常同儕之間的差距。本研究旨在開發一個學習輔助平臺,同時強化視障者的觸覺認知和文字圖形理解能力。 在強化觸覺認知方面,開發之系統能將傳統的圖片,利用影像轉3D之人工智慧建模(Image-to-3D AI model)技術,轉換圖片轉為3D,呈現在開發的擴增實境顯示器上,讓視障者能夠親身透過觸摸立體顯示器之3D模型,瞭解圖片表達的空間結構。在文字優化方面,利用微調大型語言模型與搜索式強化生成等方法,優化視障者閱讀之內容。系統開發過程中,二位視障者進行體驗,持續以修正系統設計的便利性、友善性與有效性。 本研究成果為視障者帶來新式個人化的學習輔助工具,增強視障者對立體圖形學習能力與文字理解。

探討粒線體蛋白質GATD3A的結構、功能以及去糖化機制

GATD3A 是粒線體中的蛋白質,被推測可能具有「去糖化」的能力,能移除AGEs。糖尿病、帕金森氏症、阿茲海默症皆與人體中過高濃度的AGEs有關,因此GATD3A具有相當高的研究價值。 本研究探索GATD3A(麩醯胺酸轉移酶樣1 類結構域 3A),經基因合成與蛋白表現後,大量製備蛋白質並探討其結構與功能。目前已得到蛋白質最佳製備環境、成功培養出蛋白質晶體,進行了結構分析,了解其結構、保守性、親水性及電性等,對於酵素適合反應的溫度、pH值也有初步了解。未來也會利用酵素動力學計算酵素活性、並製備糖化蛋白質,進行去糖化測試,探討 GATD3A 是否具有臨床運用於糖尿病患者之糖化血紅素去糖化的可能性。