全國中小學科展

二等獎

「綠」野仙蹤-利用增強子陷阱分析斑馬魚基因序列與側線組織再生

基因陷阱(Gene trap)和增強子陷阱(enhancer trap)在近年來被廣泛應用於斑馬魚的研究上。 因此,本實驗利用實驗室現有的增強子陷阱,包含熱休克蛋白(Hsp-70)促進子和綠螢光蛋白基因(GFP)及兩端的Tol2重複序列,得到不同位置發亮的斑馬魚。其中,本實驗選用側線細胞之套細胞(mantle cell)和中間神經肥大細胞(Interneuromast cell)表現綠色螢光蛋白的斑馬魚(HG7L)進行研究,推測sortilin-related VPS10 domain containing receptor 3 (sorcs3)為部份的被取代基因。另外,將HG7L互相交配後,進行被取代基因對側線組織再生之功能的實驗,發現雙股皆被取代的斑馬魚的毛細胞(hair cell)再生較遲緩且排列凌亂,推測被取代基因對側線發育有影響。再者,藉由被標定的套細胞觀察側線組織的發育,並模仿前人的實驗方法,觀察得知側線的發育過程不只與套細胞更和中間神經肥大細胞有關。

Carbon Nanostructures Via Dry Fce Exposed to High Temperature

This science project is designed to answer a question of whether or not a chemical reaction is needed to produce industrial quantities of carbon nanostructures by exposing dry ice to a high temperature that is at least 3100°C. A small carbon arc furnace powered by an electric welder is used to produce the high temperature. During control runs, the carbon arc furnace is energized for a predetermined time, after which the carbon arc furnace is de-energized and any carbon particles within the furnace are collected. During carbon nanostructures synthesis runs, dry ice is placed within the carbon arc furnace. The carbon arc furnace is energized and the dry ice is consumed for the predetermined time. Carbon nanostructures synthesized during the synthesis runs are collected once the carbon arc furnace is de-energized and allowed to cool. The volume of the carbon particles collected during the control runs is compared to the volume of the carbon nanostructures produced by the synthesis runs. This science project has discovered that on average at least 16 times more carbon nanostructures are produced during synthesis runs consuming dry ice as opposed to the control runs. Moreover, the synthesis runs did not rely on chemical reactions. Further still, samples of the synthesized carbon nanostructures were imaged using a transmission electron microscope (TEM). The TEM images clearly show high-quality carbon nanostructures that include carbon nanotubes, faceted carbon nanospheres, and the super-material graphene.

Ferrers diagram

Ferrers diagram是指在n個小方格中填入數字的圖表,且必須有: (1)方格緊密堆積在一個矩形的左上角 (2)每個方格的值分別定義為:(正右方的方格數)+(正下方的方格數)+1 (Hook length) 而所感興趣的問題是:如果有一個Ferrers diagram,那麼至少需要知道多少幾個格子的位置與它們的值,則整個Ferrers diagram就可以被唯一的確定下來。 我們稱具有上述性值的格子所構成的“子圖”為特徵圖,顯然整個diagram也是一個特徵圖;那麼,特徵圖至少又需要有幾個格子呢?於是定義特徵圖中格子個數最少的為最小特徵圖,因此問題轉變成探討最小特徵圖的大小(即格子個數)。 我們的研究結果是最小特徵圖的大小跟原本diagram中值為“1”的方格數(文內一般以K來表示值為“1”的方格數)有密切關係,關係如下: (1)最小特徵圖的大小≦K+1 (2)廣義最小特徵圖的大小 (3)狹義最小特徵圖的大小 同時,我們也有實例說明以上不等式的等號是可以成立的;換言之最小特徵圖的格子數之最小上界為K+1,廣義最小特徵圖的格子數之最大下界為,而狹義最小特徵圖的格子數之最大下界為 。

"An automatic stabilisation of three degrees of freedom – the intelligence of the Quadcopter"

Quadcopters are incredible pieces of technology. Software on the flight controller is able to simultaneously stabilise the drone in three degrees of freedom, follow commands from the pilot and take pictures. 200 times per second the flight controller therefore measures the current position and RC signal, calculates a correction and sets the according engine speeds. This is a task that could never be done by a human being.

紫外線B對輪蟲氧化壓力的影響

震盪效應─輕微腦震盪警示系統的研究與實現

本研究主要針對造成輕微腦震盪 (Mild Traumatic Brian Injury, mTBI) 的現象及其物理量進行研究,以封閉式頭部工程旋轉加速度的撞擊模型 (Closed Head Impact Model of Engineered Rotational Acceleration, CHIMERA) 為基礎,結合目前常用於頭部碰撞量測的腦部受傷標準 (Head Injury Criterion, HIC),實現一套由加速度感應器和微處理機組成的可穿戴式輕微腦震盪警示系統。本研究利用此警示系統進行舞蹈和刺激性遊樂設施的實測,探討生活中容易被忽視卻對腦部造成傷害之危險動作。而研究中更提出多重衝擊模擬器的實現方法,此模擬器改善CHIMERA僅單次撞擊工程問題,並結合特徵檢測 (Feature Clarification) 及互相關 (Cross-Correlation) 的定性分析,提供更多元且更符合真實情況的資料,以達到輕微腦震盪警示之功用。最後再根據實驗結果提出警訊,以降低在日常生活中輕微腦震盪發生率。

綠茶多酚EGCG對小腦萎縮抗氧化保護之探究

小腦萎縮症第三型SCA3為體染色體顯性遺傳疾病。已知為CAG三核甘酸重複序列數目過多的動態突變,造成polyQ在腦部神經細胞核內形成包含體,這種蛋白在細胞內長期堆積會導致細胞退化並死亡。此外,在SCA3熱休克蛋白的表現量較低,使蛋白不正常聚集造成細胞大量釋放氧化性刺激,促使細胞走向凋亡。根據先前研究發現低劑量綠茶多酚EGCG (epigallocatechin-3-gallate) 具有抗氧化且選擇性保護神經細胞的功能,避免氧化壓力導致細胞凋亡。此研究以SCA3患者與正常人的淋巴母細胞株來研究,給予EGCG保護來觀察EGCG在患者與正常人的細胞內對H2O2氧化壓力的耐受性差異,進一步探討EGCG對SCA3熱休克蛋白的表現量,同時觀察EGCG是否影響抗凋亡蛋白的表現。

SeedBot: Low-Cost Seeding Robot for Agricultural Applications

This paper presents a semi-autonomous seeding robot which is based on both electrical and mechanical platforms that perform advance agriculture process. SeedBot composed of four components: drilling mechanism, body of robot, seed container and paving mechanism. Other than those components the sensor system and the control system are also discussed. The aim of this study is designing and building a low-cost robotic system to automate and optimize process during farming especially for personal usage. This study demonstrates that semi-autonomous farming has crucial advantages over conventional farming. In addition to that, SeedBot provides safer, requires less manpower and precise farming than usual methods that we have so far.

Studies of Hydrogen Evolution Reactions from Aluminum Foil using Waste Materials and Their Reaction Mechanism

Nowadays, the most of waste materials are incinerated and generated the toxic gases in 日本. On the other hand, the Hydrogen gas (H2) has attracted attention as clean energy due to no emissions of toxic gases. In this work, we investigated that the new hydrogen evolution system using waste materials, such as aluminum (Al) foil and lime desiccant, and also investigated their reaction mechanism. The grinded desiccant was added to Erlenmeyer flask containing 300 mL of water. After dissolution the desiccant, the Al foil was added to the solution to begin the reaction. Generated gas was determined by water displacement method. The gas components are identified by gas chromatography. We found that the waste material reaction combined with waste lime desiccant and Al foil could be used for one of the hydrogen evolution system. This reaction is depended on solubility of lime desiccant, thus mean solubility of CaO in water. The Al foil is reacted with the desiccant more than 20 times of reaction stoichiometry. The calcium ion or calcium complex ions are involved with the excess reaction of Al foil.

高速鐵路差異沉陷的新測量方法

臺灣高速鐵路因差異沉陷而有行車安全的疑慮,每年耗費數千萬來嚴密監測沉陷。因此,我們希望能有一個可靠、簡便、便宜、及時的新測量方法。 本新測量方法利用商務筆記型電腦中的加速度感測器,來記錄列車行進差異沉陷處的電壓變化,透過Quake Catcher Network Live軟體轉換成加速度值,再經過傅立葉轉換以濾除雜訊的影響,而從加速度、速度、位移、時間之間的定義,得到高鐵於該處的沉陷值。 透過全線測量,訊號的可靠性,使我們得到台灣高鐵全台差異沉陷的分佈狀況。而高鐵苗栗麻園坑段的反覆驗證,沉陷值的正確性,也在誤差的合理範圍內。 由此顯示,此新測量法是可行的。尤其相對於傳統的人工測量方法,這個方法更有利於迅速地測量高速鐵路的差異沉陷,作到即時監測、即時預警,防範事故於未然,更可節省大量的人力與物力。