全國中小學科展

2023年

Development of UV-Protection Roofing Tile from Nitrogen-doped Graphene Quantum Dots (N-GQDs) for Rubber Drying Chambers

Improved methods of processing latex into rubber sheets will improve the incomes of small rubber producers. There are two ways in which latex can be processed into rubber sheets: fumigation and solar incubation. The fumigation method is expensive and produces pollution, but solar incubation can cause dark, sticky rubber sheets due to UV radiation, which reduces their value. A low-cost and environmentally-friendly solution to this problem was investigated here. A UV-protective roofing panel made using Nitrogen-doped Graphene Quantum Dots (NGQDs) was developed and tested. N-GQDs were made using the hydrothermal process for 2 and 4 hours (T2 and T4) and the solvothermal process for 4, 6, and 8 hours (TS4, TS6, and TS8). It was found that all types of N-GQDs absorbed light in the UV range, withT4 showing the greatest absorption. T4 had the greatest Fluorescent Intensity (FL) value, emitting blue light, while for the solvothermal method TS6 had the highest FL value, emitting red light. T4 and TS6 were chosen for further testing, and were applied to a clear roofing tile. After installing the roof on the chamber, the temperature inside was higher than outside. Then we measure the UV protection efficiency of the roof which was 93.27%. The average temperature was 45℃, which is the temperature for drying rubber sheets. Due to the roof’s capability to absorb UV radiation and heat the chamber, our N-GQDs roof has a great ability to produce higher-quality rubber sheets.

Reduction of traffic congestion in España Boulevard using graph theory

There have been numerous studies exploring the applications of graph theory in traffic management, often finding ways to reduce traffic congestion and make traveling more efficient. Such studies will be beneficial when applied to heavily congested areas such as España Boulevard, one of the busiest thoroughfares in Manila. This paper aimed tooptimize the road map of España Boulevard using graph theory. The current road map of España Boulevard was represented as a directed graphand subjected to the mutation method of edge removal, wherein an edge isremoved in each mutation based on a computed fitness function, F(G),which depicts better efficiency at lower values. Edges were removed until the graph got disconnected, which was tested using the Floyd-Warshall algorithm. The 28th mutation resulted in a minimum F(G) value of 144.4; this is a 50.18% decrease from the F(G) of the original graph, which is 290. After the 28th mutation, the removals resulted in an increase in the F(G). As a result, the final mutation resulted in an F(G) of 311.89, which characterized a less efficient graph. This study was able to apply graph theory concepts to optimize the España Boulevard road map using the mutation method, minimizing its F(G) by at most 50.18%. For future studies, the practicality of the alternate road map may be tested in simulations to examine its efficiency when other factors, such as traffic volume, are introduced.

以深度學習進行心音及高血壓關聯性之研究

2019年衛生福利部死因統計資料顯示和高血壓有高度相關的心臟疾病、腦血管疾病和高血壓性疾病皆在十大死因之列[15]。本研究提出以深度學習對心跳聲的時序頻譜圖進行訓練與分析的研究方法,應用此方法我們能以Convolution Neural Network(CNN)模型從受測者心跳聲預測出其血壓層級。CNN一般用於圖像分類,但在此研究中我們以此來分析心跳聲。本研究發現利用僅萃取第二心音的資料庫訓練效果較佳,並透過熱圖分析注意到模型對特定頻率域較為重視,在後續實驗中更進一步發現0~200 Hz和400~600 Hz在判斷高血壓時扮演重要角色。同時,我們也成功應用此方法,區分出長期高血壓和運動高血壓,證明心血管的結構改變在時序頻譜圖上有對應特徵。若應用於穿戴型裝置持續監控心跳聲,就能隨時追蹤使用者的血壓層級的變化,有異常便能盡早就醫,避免憾事發生。

Designing a LiDAR topographic navigation system: A novel approach to aid the visually impaired

The WHO reports 2.2 billion people internationally have a form of visual impairment, with Perkins School of Blind adding that 4 to 8 percent (8.8 - 17.6 million people) solely rely on a white cane for navigation. In an interview by Stephen Yin for NPR, visually impaired interviewees claimed that a white cane was ineffective as it failed to detect moving obstacles (ex. bikes), aerial obstacles (ex. falling objects), and it became physically demanding after a prolonged period. This problem can be solved with a headset that integrates LiDAR technology and haptic feedback to provide a real-time assessment of their environment. Theoretically, the device will determine how far an object is from the user and place it into one of three conditionals based on distance (0- 290mm, 310-500mm, 510-1200mm). As the user gets closer to the object, the haptic will vibrate more frequently. The device has 11 LIDAR sensors, beetle processors, and ERM motors so that when the LiDAR detects an object, the device will send a haptic signal in that area. It not only identifies the existence of an object but it tells the user its relative position with a latency period of approximately 2 milliseconds. When testing the device, a simulated walking environment was made. Ten obstacles were included: five below the waist (72”, 28”, 35” and 8.5” tall sticks) and five above the waist (paper suspended 6”, 10”, 48” and 28” from the ceiling). The white cane detected 4.1 obstacles, whereas the device detected 7.3 on average. The LiDAR navigation system is 178% more effective at detecting objects comparatively. Visually impaired individuals no longer must rely on the white cane; rather, using this device, they can detect small, moving, and aerial objects at a much faster, and more accurate speed.

Synthesis of Substituted Pyrrolidin-2-ones and Isoindolines from Donor-Acceptor Cyclopropanes and Anilines/Benzylamines

The development of rapid and efficient synthetic approaches to the bioactive cyclic and polycyclic azaheterocycles is one of the most important challenges in organic synthesis. In this work effective and simple synthetic approaches to polysubstituted pyrrolidin-2-ones 2 and isoindolines 3 from donor-acceptor cyclopropanes 1, bearing the ester group as the one of acceptor substituents, and amines were developed. The γ- pyrrolidone based skeletons and isoindoline ring system is a constituent of many biologically active molecules, both natural and synthetic, and a key component of clinically relevant entities (Fig.1,2) [1,2]. The synthesis of pyrrolidin-2-ones 2 includes Lewis acid-catalyzed opening of the donor-acceptor cyclopropane with primary amines (anilines, benzylamines, etc.) to γ-amino esters, followed by in situ lactamization and dealkoxycarbonylation. The reaction has a broad scope of applicability; a variety of substituted anilines, benzylamines, and other primary amines as well as a wide diversity of donor-acceptor cyclopropanes bearing (hetero)aromatic or alkenyl donor groups and various acceptor substituents, can be involved in this transformation. In this process, donor-acceptor cyclopropanes react as 1,4-C,C-dielectrophiles, and amines as 1,1- dinucleophiles. The resulting di- and trisubstituted pyrrolidin-2-ones can be also used in subsequent chemistry to obtain various nitrogen-containing polycyclic compounds of interest to medicinal chemistry and pharmacology, such as benz[g]indolizidine derivatives. The synthesis of the substituted isoindolines 3 is based on the domino-reaction between donor-acceptor cyclopropanes, bearing in ortho-position of aromatic substituent a bromomethyl group, and different primary amines (e.g., anilines, benzylamines, cycloalkylamines) was developed. The reaction involves the generation of secondary amine followed by nucleophilic ring opening of cyclopropane with amino group. Moreover, this process provided a new practical method for the rapid synthesis of benzo[b]pyrrolizidinone 4 from readily available starting materials.

斜槓元宇宙-智慧新農機:全球首創利用Arduino自動偵測「迴轉耕耘機」犁耕土壤深度的火犁仔(曳引機)、解決人類糧食危機

本研究以機電整合,發明了【曳引機迴轉犁偵測系統】,將大型農業機械智能化,並優化及整合工程技術,設計了六大系統,藉由量化評工程效益及作物的產量變化,觀察設計成效。 根據文獻,水稻管理使用「灌溉系統」+「雜草抑制蓆」+「生物肥料」的機制,可以增加產量[1,2]。因此我們優化這些機制,並設計「精準深耕」、「智慧噴桿」、「滴灌系統」形成六大系統。利用自創的【曳引機迴轉犁偵測系統】,犁耕時就可以在每一寸土地上,精確控制土壤深度在25cm的「精準深耕」。我們也發現,在這六大系統的協同效應下,不僅省下3~12倍的作業時間,同時在加乘效果的作用下,產量可以大幅提高至79%。 本實驗花二年時間,在台中清水地區1.2公頃的農地,實際建構這六大系統。並使用無人機偵測飛行高度的3D立體影像感測器、Arduino微控制器、燒入自行設計的Arduino C程式,成功發明【曳引機迴轉犁偵測系統】,並裝在大型曳引機,用來偵測迴轉耕耘機翻鬆土壤的深度,同步將該數據立即顯示在駕駛室的儀表板。 目前全球六大品牌大型曳引機,造價超過新台幣400萬元,尚無一款具有本研究自創的迴轉犁自動偵測功能。

塑膠發電– PLA降解之燃料電池研究

本實驗主要將PLA塑膠產品以水解降解、光降解方式形成小分子乳酸單體或其寡聚物,作為燃料電池之燃料,使其再循環產生能量,減少塑膠產品對環境之汙染。PLA降解之方法,可將PLA浸泡於低濃度氫氧化鈉溶液或照射UV光進行前處理再置入乙醇中,或直接放入高濃度氫氧化鈉中並加熱將其迅速降解,後者可於5分鐘內將市售PLA產品完全降解。以上述PLA降解溶液作為燃料電池之燃料,同時以自製氧氣供應裝置提供氧氣,作為電池兩極。電極為鍍鉑鎳鉻絲,電解液為0.7M氫氧化鈉溶液,電壓可達0.85V。PLA雖為生物可分解性塑膠,現今仍主要以燃燒方式處理,此迅速降解PLA之方法可解決目前使用後處理之困境。同時本實驗為首次利用乳酸作為化學燃料電池之燃料,並成功使其產生電力,此研究可提供PLA塑膠分解與利用之新思維。

二氧化碳高選擇性轉化生成合成氣之碳中和工程

近年來碳排放的淨零是全人類所想達成的共同目標,因此本研究透過油浴將鐵、鈷或鎳離子與配位基配位,並形成以2-甲基咪唑為配體的前驅物沸石咪唑骨架,以及以雙氰胺和葡萄糖反應為配體的前驅物類石墨相氮化碳,再鍛燒形成可導電的催化劑。研究者分別以上述兩系列的金屬單分散催化劑,使用氣液分隔的氣體擴散電極進行電解人工光合作用,將CO2高選擇性地還原為CO,並探討各催化劑產CO效率。本研究發現鎳金屬類石墨相氮化碳對CO2還原反應的選擇性極高,能使產CO效率達到99%。而CO作為合成氣已有成熟的工業製程,能生成許多具經濟價值的產物,工業需求量非常大。未來若實際執行,則有助碳中和目標的達成。

朽木生花-初探以中藥萃取液對木材染色之防蟲抑菌效果

In our experiment, we used traditional Chinese medicine to dye on cheap wood, in addition to avoiding the impact of chemical paint on human body; After dyeing, the color and texture quality of the wood are improved, which makes cheap wood have higher price and improves the value of wood; At the same time, it can reduce the felling of slow growing precious wood, which has the functions of environmental protection, earth love and carbon saving. The test material was pretreated with hydrogen peroxide and surfactant, and the bleaching effect was obvious. After dyed with different Chinese medicinal, soak in strong acid and alkali solution for 15 minutes, which shows that strong acid and acid treatment is not allowed. On the other hand, after 15 minutes of immersion in detergent, the color difference value is less than 2, and the rubbing fastness is above grade 4. In the bacteriostasis experiment, no fungus grew in the first 3 days, and it did not grow in the 12th day. In the anti-termite experiment, the mortality rate on the fifth day was 65% for Lithospermum and 83.8% for Wolfberry, and the other groups had a good effect of total elimination. While plastic products have a great impact on the environment, wood that is dyed or modified with natural colored dye, its environmental value far exceeds the human visual perception.

白花蛇舌草免疫抗癌新機轉及活性物質分析

白花蛇舌草是中醫常使用的抗癌中藥,本研究主要探究白花蛇舌草治療大腸癌的可能效應、機轉及活性物質。本研究利用大腸癌動物實驗搭配次世代基因定序,期望發現白花蛇舌草的新穎免疫抗癌標靶,並利用氣相層析質譜儀搭配新穎免疫抗癌標靶分子對接,分析主要的活性物質。結果顯示,白花蛇舌草可以減少小鼠結直腸增生組織的數量及大小,將被影響的基因進行生物資訊程式分析,發現白花蛇舌草會干擾與免疫細胞趨化有關的基因群組以及與上皮細胞增生有關的白細胞介質IL-17訊息路徑,而且存在於白花蛇舌草的阿魏酸可以阻斷IL-17與IL-17受體的結合,減緩小鼠的大腸直腸癌。本研究將古老知識透過現代科學證實有用,呈現與發炎或與上皮細胞增生有關的細胞激素可以作為免疫抗癌標靶,也發現白花蛇舌草的免疫抗癌新機制,並由免疫抗癌新機轉成功求證白花蛇舌草的主要活性物質。