全國中小學科展

2022年

缺氧誘導肺腺癌分泌含有CD151之Exosome於肝臟營造腫瘤轉移前微環境相關作用

缺氧(Hypoxia)在癌症中,影響腫瘤微環境(Tumor microenvironment,TME)的重塑扮演重要的角色。原位癌細胞與欲轉移之遠端器官的微環境間,會透過細胞外囊泡(extracellular vesicles,EVs)進行細胞間相互作用,對於轉移前腫瘤微環境(Pre-metastatic niche,PMN)的形成和轉移過程至關重要。 本研究目的在闡明缺氧條件下,肺腺癌如何透過產生的外囊泡重塑肝臟轉移前微環境。結果顯示缺氧刺激肺癌產生的細胞外泌體(Exosome)增加了肝臟星狀細胞(hepatic stellate cell,HSC)活化和血管生成。由於缺氧肺癌所分泌的EVs含有CD151蛋白,促進HSC的活化和血管新生。缺氧肺癌所產生的Exosome增 加了HSC和內皮細胞中FAK(focal adhesion kinase)、Src(SRC proto-oncogene, non-receptor tyrosine kinase)和AKT(AKT serine/threonine kinase)通路的激活。 總結此實驗證實了缺氧腫瘤衍生的Exosomes,探討其中富含的CD151機制,活化了HSC與特別的訊息傳遞於細胞中,調節肝臟PMN的形成。因此CD151可作為肺腺癌轉移至肝臟的新治療靶點。

Development of an Audio Modulated Tesla Coil

Originally, the Tesla transformer was developed to transmit energy and messages wirelessly. But it did not prove itself for either of these applications, so today it is only used for research purposes. Over time, the Tesla transformer has evolved and improved. Today it is possible with Tesla transformers to generate powerful and highly precise controlled discharges. During operation, impressive high-voltage discharges occur at the transformer. A tesla transformer is basically a high voltage generator that achieves a voltage boost by using two magnetically coupled LC series resonant circuits of the same resonant frequency. The Dual Resonant Solid State Tesla Coil (DRSSTC) built in this work has a high power IGBT half bridge module to excite the primary resonant circuit at the resonant frequency. The IGBTs are driven in such a way that audible pressure waves, and therefore music, are generated by the electrical discharges at the high voltage electrode. Within the scope of this work were the following two questions: - How is a DRSSTC designed and built? The DRSSTC system realized in this work is about 80 cm high and reaches about one-meter-long discharges. The design, development, and construction of the transformer are documented in detail and extensively in this thesis. - How does one measure an electrical voltage of 200,000 V, which changes sign more than 100,000 times per second? Two approaches have been taken to measure the voltages. Derived from the energy balance of an ideal capacitor and an ideal coil, a secondary voltage of about 200 kV was calculated via secondary current measurement. The second approach uses a voltage measurement via an in-house developed measuring electrode and a calculated divider ratio between the measured voltage and the secondary voltage. A relatively unrealistic secondary voltage of about 750 kV was measured since the divider ratio depends on approximate values. Nevertheless, the measuring electrode can be used for investigations of the voltage curve, or the divider ratio can be calibrated via the secondary current measurement. The development of such a transformer laid the foundation for much further research and scientific analysis.

以深度學習與遷移學習防範社群媒體片面新聞訊息之研究

現代民眾獲取新聞的途徑逐漸轉移到網路媒體,然而在網路資訊快速傳播以及媒體為追求報導曝光度以增加金錢利益的情形下,片面、誘導等形式的新聞標題與短句訊息在新聞媒體傳播中日益嚴重;本次研究透過Fake News Challenge提供的Stance Detection dataset,運用深度學習與遷移學習方法訓練可預測兩文本之間相關程度的自然語言處理模型,在過程中改善調參及訓練方式,並將其實際運用在預測美國新聞媒體於Facebook網路社群平台發文推播新聞的同時所附的短句與新聞報導文本內容之間的相關關係程度,分析社群平台中新聞可能造成的誤導式文句是否實際造成片面報導,而影響了受眾對於媒體的使用程度與信任程度。使此模型有助即時預警社群平台上的報導資訊型態品質,輔助使用者獲取新聞時所應具備的媒體識讀能力,進而改善片面報導於網路的流竄,同時提升未來媒體生態。

摘要演算法和語句分析之關聯性

在這個資訊發達的時代,網路充滿著五花八門的資訊,導致我們在查詢資料時會因為這些雜亂且未經過濾的資料浪費許多時間,其中最為氾濫的便是點擊誘餌(clickbait),此種新聞常常有著吸引人的標題,而內容卻不會與主題相符,人們也常常在讀完整篇文章後才意識到自己浪費了許多時間在無意義的資訊上面。解決此問題很常用的方法之一便是運用摘要演算法來讓讀者先對新聞有一個大概的理解,不過,雖然摘要演算法越來越普及,但產生出來的摘要仍會和人為判斷的結果有所差距,進而造成閱讀理解上的錯誤以及偏差,所以我們想要藉由這次研究,從一個嶄新的角度切入,探討摘要演算法和句型分析之間的關係,融合原本向量建構的方式以及語句結構的分析來測試摘要的準確度,並且由結果研發出一個可以產生出更為精確的主旨之摘要演算法,除此之外,我們也會融合實地調查以及搜集意見的方式來更進一步探討人們思模式與產生出的摘要之關聯性。

A New Method For Microplastic Removal and Optical Measurement

Microplastics are tiny invisible plastic pieces that are piling up in the marine environment emerging as one of the many environmental issues which our planet is facing today. Researches for the removal of these particles are important because studies that have been made so far haven't come up with an effective solution. This project aimed to detect microplastics and remove them from aqueous environments with an effective and practical method then it was aimed to determine the removal amount of microplastics by optical measurements with the developed system. Firstly, the magnetic carbonanotubes (m-CNT) which is intended to hold onto the surfaces of microplastics was synthesized and added to the mixture of microplastics. Then the magnet within a glass tube was passed through the mixture and the sample was cleared of microplastics. A spectrometer was made to monitor this process and after its calibration, it was used to measure coffees with different concentrations. It has been shown that their concentrations can be determined by calculating the transmission values and Rayleigh scattering. In the end, it has shown that there are no micro or nano-sized plastic particles when removed with M-CNT, within the accountable range of the spectrometer that had been made. Hence the removal of the microplastics: an invisible threat for the environment has been studied by combining nanomaterials with unique surface properties in the removal process and an optical principle such as Rayleigh scattering, a new technique has been developed that can measure quickly, economically,

Properties of possible counterexamples to the Seymour's Second Neighborhood Conjecture

The project is devoted to the study of the Seymour’s Second Neighborhood conjecture by determining the properties of possible counterexamples to it. This problem has remained unsolved for more than 30 years, although there is some progress in its solution. The vector of the research is aimed at the analysis of possible counterexamples to the conjecture with the subsequent finding of some of their characteristic values. In addition, attention is focused on the generalized Seymour’s conjecture for vertex-weighted graphs. Combinatorial research methods and graph theory methods were used in the project. The author determines the values ​​of densities and diameters of possible counterexamples, considers separately directed graphs of diameter 3. The conditions under which specific graphs cannot be counterexamples to the Seymour’s conjecture with the minimum number or vertices are defined. The relationship between the Seymour’s conjecture and vertex-weighted Seymour’s conjecture is explained. It is proved that if there exists at least one counterexample, then there exist counterexamples with an arbitrary diameter not less than 3. Under the same condition, the existence of counterexamples with a density both close to 0 and close to 1 is also proved. The equivalence of the above two conjectures is substantiated in detail. It can be concluded that if the Seymour’s Second Neighborhood Conjecture is true for a directed graph of diameter 3, then it is true for any digraph, so that problem will be solved. Moreover, if the conjecture is true, then vertex-weighted version of this conjecture is true too. That is why a digraph of diameter 3 needs further research.

蘭陽溪口溼地以及五十二甲溼地水質分析與比較

本研究區域為蘭陽溪口溼地與五十二甲溼地,各選擇5和6個採樣點,檢測水體中的溶氧度、pH值、導電度、總固體溶解量(TDS)、水溫以及濁度並記錄當時氣溫。 在蘭陽溪口溼地中我們發現越靠近出海口,導電度、TDS越高。採樣點4濁度為最高,猜想可能與位置有關。五十二甲溼地中則以採樣點6的導電度、TDS為最高,濁度、pH值及溶氧量則是採樣點3最高。我們還藉由五十二甲濕地分區使用圖,比較人為因素對水質的影響。採樣點3為遊客休憩區,測得的濁度、pH值皆較高,採樣點6為生態區,測值相對較小,推測人為因素與水質有關聯。最後,在10月10日的數據中,發現蘭陽溪口溼地的導電度特別高,推測潮汐現象為可能造成此現象的因素,也是未來研究的方向。

Anti-bacterial Crab bio-bandages with Bio-dressings 2.0

Commercially available bandages such as hydrocolloid are neither biodegradable nor anti-bacterial. Chitin is known to be the second most naturally available polysaccharide which could be transformed to chitosan which is known to be anti-bacterial (Hasan, 2018) (Chao, 2019) and haemostatic (Okamoto, 2003) (Hu, 2018). Chitosan can be further converted to hydrogel which is bio-degradable and has good water absorbance. Anti-bacterial crab bio-bandages and crab bio-dressings should be bio-degradable as it took 42 days and a month for complete bio-degradation respectively, so they should be better than commercial bandages such as Nexcare Hydrocolloid as the disposal of anti-bacterial crab bio-bandages with bio-dressings would no longer pose burden to landfilling or threat to our environment. Anti-bacterial crab bio-bandages with bio-dressings are anti-bacterial with degree of deacetylation of DD% (measured using FTIR Spectrum II) 82.6% (due to the presence of chitosan) even without the application of other anti-bacterial agents and hence can provide complete protection of wounds from skin and soft tissues infections and haemostatic (due to the presence of chitosan). After testing and certification based on IS997:2004 and BS EN 13726-1, they should meet many requirements specified. Anti-bacterial crab bio-bandages should be eligible for marketing. Some results were as follows: 1.4 Anti-bacterial effect of crab hydrogels and roasted crab hydrogels Pure chitosan, crab chitosan, crab hydrogels and roasted crab hydrogels showed significant anti-bacterial effect. NO oral bacterial colonies were present in drinking water with crab hydrogels. Thus crab hydrogels could serve as effective anti-bacterial wound dressings. 1.6 Basing on IS997:2004 standard, the load per unit of area of anti-bacterial bio-bandages was 342g/m2 which met the minimum requirement of 36g/m2, the anti-bacterial bio-bandages had stronger tension strength (>20N both in dry and wet conditions) than commercial hydrocolloid. (2.7N dry 2.8N wet) which was comparable with that required (50-67N) and pH of about 7 which met the pH range of 4.5-8. 1.7 The FSA Free-Swell Absorbency of synthetic blood of crab hydrogel bio-dressings was 1.86g per 5cm x 5cm dressing which was much higher than that of commercial hydrocolloid (0.299g per 5cm x 5cm dressing) based on BS EN 13726-1.

分子拓印修飾磁性奈米粒子萃取福壽螺卵中蝦紅素之探討

本研究以二氯化鐵和三氯化鐵所合成之磁性奈米粒子為基底,包覆上以蝦紅素為模板修飾的二氧化矽,製作出具有蝦紅素專一性的磁性奈米粒子,應用於萃取福壽螺卵中之蝦紅素。 利用干擾物證明磁性奈米萃取粒子具有蝦紅素的專一性,再探討奈米粒子合成及萃取條件的影響。福壽螺卵經過打碎離心後,依序加入0.2 M氫氧化鈉及1 mM十二烷基硫酸鈉,使蝦紅素水解並去脫去蛋白質轉換為游離態。當模板濃度為0.059 mg/mL、TEOS濃度為1.892 mg/mL和蝦紅素的濃度為0.07 mg/mL時,會有最佳的萃取率達60.7 %。此磁性奈米粒子在萃取步驟後,再以丙酮進行脫附,至少重複使用3次。此技術可減少福壽螺的農害,也極具經濟價值,很值得研究。

Solving Mathematical and Chemical Equations using Python

Max Gold's project, titled “Solving Mathematical and Chemical Equations using Python”, is a website comprising of 4 main programmes: one to find the smallest possible combination of two chemical compounds or elements; a self-made parsing function to convert a chemical equation into a matrix, then using Gaussian-Jordan elimination to find coefficients for an equation; a programme to parse a mathematical expression and use that parsed expression in algebraic division of an algebraic dividend of nth degree polynomial by a divisor of 1st degree polynomial; finally, a programme to solve binomial equations for the power s∈Q. This website was originally made so that Max Gold could improve his programming skills for GCSE computer science but expanded to incorporate his passion for chemistry and maths and thus allow others to use these programmes to help them with their problems as well. A problem with many conventional calculator websites is their lack of specificity – they tend to be able to compute some functions but not all. These programmes are tailored to GCSE and A level maths and chemistry, meaning this website provides an outlet to compute specific topics of problems.