全國中小學科展

2025年

花容失色-鳳凰花的旗瓣為何會先凋零?

鳳凰木的花朵擁有五片花瓣,上方花瓣與其他紅色花瓣不同,是白色底紅色斑點,根據文獻,這片花瓣稱為旗瓣,功能是作為蜜標來吸引傳粉者。研究觀察發現鳳凰花的旗瓣會先捲曲凋零,和蜜標存在的功能互相矛盾,本組推論與環境、授粉有關連。經研究發現,旗瓣凋零與生長環境、花粉及花蜜是否被採集無關,與授粉方式有關。異株授粉導致旗瓣凋零的時間提前;同株異花授粉旗瓣凋零的時間與自然狀態相近;自花授粉、無授粉則導致旗瓣凋零的時間延後。異株授粉對鳳凰花而言是有效且成功的授粉,會導致旗瓣提早凋零,蜜標隱藏,提高其他尚未有效授粉花朵成功授粉的機會,並且產生成熟的種莢。無效的授粉會導致旗瓣凋零時間延後,藉此等待有效的授粉機會。

探討PVC對蚤狀溞生理、生殖及DVM的影響

微塑膠在自然環境中普遍存在,甚至被生物攝取後進入食物鏈間傳遞。由於水蚤族群敏感性高,常作為監測水域環境變化的重要指標。我們以不同PVC濃度(0.01mg/L及0.1mg/L)為變因,探討微塑膠對於水蚤的生理、生殖及晝夜垂直遷徒(DVM)行為影響。結果發現0.01 mg/L、0.1 mg/L PVC濃度環境,皆不會影響蚤狀溞的存活率,但是會提高蚤狀溞的心率及降低趨光行為。而0.1 mg/L PVC濃度環境會使蚤狀溞提前進入生殖階段,子代數量明顯高於對照組,出生在0.01 mg/L 、0.1 mg/L PVC濃度環境的初生蚤體長有離散程度大的趨勢。蚤狀溞DVM屬於日間在深層、夜間在表層的Nocturnal migration 模式,但在具有PVC的環境中,夜晚有較高比例停留在深層,此一行為改變,也會反應在食物鏈後端掠食者上,最終甚至可能影響魚獲,若在水面增設燈光照明可以改善蚤狀溞夜晚停留在深層的現象。

製備藻類衍生物碳點與 Mxene複合材料並應用高效超級電容

本研究運用綠藻、螺旋藻、卡拉膠(k,i,λ)進行製備碳點並應用高效超級電容。本實驗已完成綠藻、螺旋藻、卡拉膠( k,i,λ)在不同的pH值中的溶解度測試,並找出綠藻、螺旋藻、卡拉膠(k,i,λ)各自適合溶解的溫度及溶液。此外,中途也已透過文獻中的實驗證實我們實驗中所運用的電化學實驗設計及裝置可以成功製備出碳點。而在電化學製備碳點的部分目前完成單獨藻類、藻類加histidne的電擊實驗以及測其吸收光譜,也運用先前製備出較穩定的碳點加入MXene進行電化學分析,透過碳點擴大MXene分層,以達到增加MXene電化學效能的效果。最後,預計之後將進行更多的電化學分析,進一步地確認碳點結合MXene能在超級電容的應用。

「飛到西飛到東」對應異頻穩定三角訊號之波形分析

本篇研究以探討多重訊號同時輸入時的訊號干擾問題出發,類比至國立臺灣師範大學數學系游森棚教授所提出的數學問題: 飛到西飛到東」,希望藉由導出多質點移動速率與其距原點間的位置關係,找出訊號重疊程度之峰值條件,藉此有望應用於硬體接收器的訊號輸出處理,或類比至電路設計與物流規劃等,達到避免相互干擾與提升傳輸效率的功用。 在內文中我們先以分段討論的方式解決期刊問題,並導出在任意系統中可快速辨別物體運動狀態之高斯函數。隨後以參數化曲線路徑與向量式的質點位置,拓展主題可適用範圍的自由度,再以高斯函數法和傅立葉級數法得出解型式之聯立組,最後利用數系之封閉性,將主題進一步約化處理。

Exploring the Potential of Pachyrizus Erosus-Derived Calcium as an Affordable Nutritional Solution for Lactose Intolerance

An exploration of Pachyrhizus erosus as an option for plant-based milk in the 印尼n market for people with lactose intolerance. With its prevalence in tropical climates, Pachyrhizus erosus is an affordable crop in 印尼. Pachyrhizus erosus is a root vegetable containing a calcium content of 15.6 mg per cup (130g) in its unprocessed form, concentrated in its white flesh. Based on its affordability and calcium content, Pachyrhizus erosus can be transformed into a beverage product with nutritional qualities on par with existing plant-based milk, therefore being a solution for calcium sustenance that is more accessible due to its high capability to be locally grown in 印尼. However, this may be a partial case as Pachyrhizus erosus only thrives in regions with long warm seasons. In this research, three trials of Pachyrhizus erosus-based milk recipe have been conducted Trial 1 consists of a 1:1 ratio of Pachyrhizus erosus to water, Trial 2 consists of a 2:1 ratio of Pachyrhizus erosus to water, and Trial 3 consisting of a 10:10:1 ratio of Pachyrhizus erosus to water, and to a small amount of soybean. Based on the results of 14 organoleptic test respondents, it is concluded that the best ratio of ingredients is 10:10:1 (water: Pachyrhizus erosus: soybean) due to an overall preference of the third trial with this ratio, in terms of taste, aroma, color, and consistency. Pachyrhizus erosus is the dominant ingredient in developing alternate plant-based milk. However, findings from the most preferred trial in the organoleptic test suggest that implementing a minor amount of soybean would stabilize the milk-like consistency and flavor. Pachyrhizus erosus’ ability to retain calcium in its water content has been additionally proven in a calcium test using a reagent solution of ammonium oxalate, as even with the trials’ step of straining the liquid content of Pachyrhizus erosus that had been blended with added water, all three trials tested positive based on the high level of the precipitate. Other tests that tackle the quality of each trial include In Silico Testing, biuret protein test, alcohol test, COB test, and pH level testing.

Application of Carbon Aerogels in Lithium-Air Batteries

One of the main challenges with today’s batteries is their relatively low volumetric and specific capacities. The highest specific capacity can be achieved with lithium-air batteries, which use metallic lithium as the anode and typically some form of porous carbon as the cathode. To enhance performance, aerogels—among the world’s lightest solid materials—are ideal candidates for cathodes. Resorcinol-formaldehyde (RF)-based carbon aerogels, for example, serve this purpose well. In my work, I utilized two types of carbon aerogels as cathode materials: one derived from pyrolyzed resorcinol-formaldehyde polymer and the other a graphene-oxide-modified version of this carbon gel. I integrated the carbon aerogels I had pyrolyzed into lithium-air batteries to improve the cell’s performance, energy density, and capacity compared to cells using activated carbon. In my research, I examined the pore structure and surface properties of these materials in aqueous media using NMR (nuclear magnetic resonance) relaxometry and cryoporometry, exploring their impact on battery efficiency. I found that the graphene-oxide-containing sample's pores filled with water in a layered manner, indicating a more hydrophilic surface, which suggests a denser arrangement of oxygen-containing functional groups compared to the unmodified carbon aerogel. The pore sizes were reduced after adding graphene oxide, resulting in an increased specific surface area for the sample. Incorporating the reduced graphene-oxide-containing carbon aerogel enabled the creation of a more efficient, higher-capacity battery than with the RF carbon aerogel. This improved performance is likely due to the aerogel’s higher oxygen content and altered morphology. The increased oxygen content provides more active sites for oxygen reduction, meaning that a greater specific power output can be obtained from the battery.

智慧蚊監-3D 列印與機器學習

氣候變遷加劇了蚊媒疾病對全球公共衛生的威脅,迫切需要創新的解決方案。在台灣,登革熱的傳播主要由蚊蟲滋生所致。為了解決此問題,我們設計了一款三層結構的3D 列印誘蚊器,包括吸引懷孕雌蚊產卵的誘餌層、捕捉蚊蟲的黏膠層,以及防止異物進入的保護層。該裝置成本低、易製作且不需要外部電力,特別適合在資源有限的地區部署。 我們結合校園監測站每日捕捉的蚊蟲數據與氣象站提供的溫度、濕度和降雨等環境數據,運用SARIMA 與隨機森林混合模型進行分析與預測。SARIMA模型負責捕捉蚊蟲數量的季節性與長期趨勢,而隨機森林模型則處理環境變數與蚊蟲密度之間的非線性關係。此混合模型不僅提高了預測精度,還能解析蚊蟲的生態模式,進一步指導誘蚊器的最佳配置。此外,我們還開發了紅外線感測系統,即時偵測蚊蟲活動,為監測提供精準數據。 為評估氣候變遷的影響,我們模擬了不同全球暖化情境下的蚊蟲密度變化趨勢。結果顯示,隨著溫度上升,蚊蟲密度呈現非線性收斂趨勢,但正相關性依然存在,強調了氣候變遷可能帶來的潛在危害。我們還開發了一個網站,用於即時呈現蚊蟲密度預測,幫助政策制定者和公共衛生機構有效應對疾病防控挑戰。 本研究與聯合國永續發展目標(SDGs)中的SDG3(良好健康與福祉)及SDG13(氣候行動)高度契合,展示了結合3D列印、機器學習、即時感測和網路技術應對蚊媒疾病的創新潛力。此系統提供了一個可持續的全球蚊蟲控制模型,為公共衛生、疾病預防及流行病學的未來創新奠定了堅實基礎。

運用深度學習色彩校正模型之黃疸偵測 Jaundice Detection Using Deep Learning-Based Color Correction Models

現今醫療中,黃疸的早期偵測對肝臟疾病的預防與治療至關重要,但多數人難以在症狀輕微時察覺。我們希望藉由智慧手機影像結合機器學習進行黃疸檢測,提升民眾自我監測的能力。Su 等人(2021)曾使用深度學習和機器學習進行黃疸預測,但其方法依賴專業色卡進行色彩校正,成本高且限制應用範圍。本研究提出以白平衡演算法中的白色補丁法與灰界演算法,搭配深度學習模型 DCCNM1和2 取代色卡,提升黃疸檢測的普及性與便利性。經黃疸偵測效果評估顯示,DCCNM2 在無色卡模型中表現最佳,雖然各指標略低於色卡校正,但其展現出優異的穩定性和準確性,證明其作為無色卡黃疸篩檢方案的可行性。本方法將能提供便捷的居家黃疸檢測途徑,尤其對偏鄉地區居民而言,不僅提升早期發現的機會,還能有效減輕醫護人員的負擔,推動大眾健康管理。

觀音山火山熔岩與其礦物比例研究 A Study on the Mineral Ratios of Guanyinshan Volcanic Rock

透過親手磨製岩石薄片及礦物比例數據,探討觀音火山熔岩的差異與其差異原因。根據前人研究得知,觀音山經過五次噴發,共有七種不同的火山岩。比對地質圖,尋找各層出露地點共17處,進行田野調查、空拍記錄及樣本採集,並磨製岩石薄片共14片,進行岩相觀察與礦物面積比例計算。 本研究觀察到觀音山熔岩有漸變關係,符合鮑氏反應序列。從橄欖石玄武岩→普通輝石玄武岩→普通輝石安山岩→兩輝石安山岩→紫蘇輝石安山岩→黑雲母角閃石安山岩。 並依據新的田野調查資料,修正觀音山的地質圖資;建立火山噴發歷程模擬動畫;製作立體地形模型,以瞭解對地質地貌關係,皆可做為日後觀音山地球科學教育之參考。

Investigating the Effects of Temperature and Carbon Dioxide Levels on Nannochloropsis oceanica Using a Hemocytometer Counting Method

Climate changes that include ocean acidification and global warming are serious problems in the ecosystem, affecting marine phytoplankton, including Nannochloropsis oceanica. In the effort to further explore the impact of rising temperature and carbon dioxide (CO₂) concentrations on oceanic ecosystems, the phytoplankton Nannochloropsis oceanica was used as a model organism. This study explored the effect of temperature change and CO₂ concentration on the growth of Nannochloropsis oceanica, achieving 243 samples that were tested with three different temperatures (24 degrees Celsius (°C), 28°C, 32°C) and CO₂ concentrations (0 milliliter (ml)/min, 0.4 ml/min, 0.6 ml/min), utilizing a hemocytometer counting method. Results indicate that the CO₂ concentration has a significant effect on the population of Nannochloropsis oceanica. But the temperature doesn't affect a lot. The Nannochloropsis oceanica in the lowest temperature and highest concentration of CO₂ in its environment had the highest population growth, and in the highest temperature and lowest concentration of CO₂, it had the lowest population growth. Results show the serious negative effect of climate change on the cosystem and the importance of environmental protection. Population blooms due to excess CO₂ taking up ocean resources causing dangerous ecological imbalances.