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本實驗研究豌豆葉捲鬚的向觸性表現,其「纏繞」行為會受到「接觸」物體和「光源」的影響。我們觀察葉捲鬚會自發性在空中環繞,似乎在搜尋攀附物,當葉捲鬚的「前端」部位直接碰觸竿子在60分鐘內即「抓竿」,相較其他部位觸竿或者未直接碰觸竿子相比,快速纏繞生長。我們也發現莖條在側光源和竿子反向環境中會向光彎曲生長,導致捲鬚前端能「向觸纏繞」比例低,且纏繞圈數只有1-2圈。同樣在黑暗的環境中,纏繞的速度、圈數顯著降低。我們推測葉捲鬚的前端具「感應」能力,表現向觸纏繞,但光線給予「啟動」功能,當葉片被鋁箔包住無法感受光線,會導致纏繞比例顯著降低,我們期此實驗對攀附植物的向觸性學理提供基礎研究與未來在農業利用的參考!
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第五代行動通訊中基地台毫米波天線精確的方位角量測
第五代行動通訊(5th generation mobile networks)是現今科技發展的趨勢,新技術的出現也衍生出很多新的問題,在基地台點對點傳輸時,需要精確角度的天線才足以準確地接收高頻波短的毫米波,雖然現今已經有精密儀器能測量精確的方位角,但價格較高且使用方法複雜,面對數量龐大的5G基地台時,維修成本過高。本研究利用手機拍照得到天線與目標物相對角度,結合預先得知目標物的方位角,再經過數學運算即可得到精確的天線指向。本研究希望以隨手可得的手機,配合簡單的方法,可得到精確的天線指向,解決第五代行動通訊可能面臨的問題。
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因「材」施計-觀察倍數關係,推理原始密碼
在數字2~100之間,約定取哪五個數字,每個數字有五張牌。 每次遊戲,提問者從這二十五張牌中抽五張作牌組。 答題者用乘法提問,以較少提問次數答出牌組數字者,獲勝! (一) 解題步驟 (1) 問五張牌相乘,找出具有特殊質因數的牌; (2) 找出牌組中,會造成乘積相同的組合,問其中最大數字的倍數相乘。 如果執行步驟(1),尚未完全解題,就執行步驟(2); 如果執行步驟(2),尚未完全解題,再次執行步驟(2)。 在這個規則之下,可以依序確定五張牌。 (二) 提問次數 第一題問五張牌相乘的質因數分解,出現 (1) 四種以上的質數,直接得知五張牌數字; (2) 三種質數,最多加問一題; (3) 兩種質數,最多加問兩題; (4) 一種質數,最多加問三題。 在這個提問上限之內,一定可以成功解題!
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探討MPT-Cy2作為活性氧類(ROS)指示劑之利用
MPT-Cy2是一種容易與自由基發生反應的化合物,並產生如顏色及吸收光譜改變等變化。故本研究嘗試利用此特性,探討將MPT-Cy2作為活性氧類(ROS)指示劑的可能性。 實驗第一部份成功由硫化二苯胺合成出MPT-Cy2,並由電噴灑游離質譜儀(ESI-MS)與X光單晶繞射儀(X-ray)證實其結構無誤。 第二部份的實驗首先利用過氧化氫與亞鐵離子進行芬頓反應(Fenton Reaction),作為氫氧自由基的來源,再探討MPT-Cy2與氫氧自由基反應之特性。實驗結果顯示,在電子順磁共振光譜儀(EPR)與紫外光可見光光譜儀(UV-Vis)的光譜圖上,皆可證實MPT-Cy2確能與氫氧自由基產生結合反應。其中MPT-Cy2與過氧化氫之莫耳數比例為1 : 10000時反應速率最快,且結合反應能持續至830分鐘,未來可望作為活性氧類(ROS)指示劑。
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BIOINFORMATIC PREDICTION OF CORONAVIRUS (SARS-COV-2) MUTATIONS THAT INCREASE CONTAGIOUSNESS
Inhibitory effects of the secondary metabolite of actinomycete were examined on cell cycle of the yeasts of S. pombe and S. cerevisiae. The secondary metabolite was obtained from cultivation of the actinomycete isolated from the soil of Owakudani in Hakone, Japan. The fifth fraction of the secondary metabolite by ODS column separation (HK-T5), which was soluble to pure methanol, was used in the present experiments. The HK-T5 brought about the delay of forming colonies of S. pombe for about 11 days compared to that cultivated without the HK-T5. The delay of the colony formation was longer for the S. pombe cultivated with more amount of the HK-T5. The cultivation with HK-T5 also brought about the extension of the lifespan of the S. pombe for more than 10 weeks in a liquidus medium. The cell life recovered the ordinary manner by removal of the HK-T5, meaning that the activities of the HK-T5 is reversible. These facts confirm the suppression of cell cycle, and the delay of cell growth by the HK-T5. These phenomena were similarly observed for S. cerevisiae. Comparison of the action of HK-T5 with hydroxyurea, which is an anticancer drug inhibiting the cell cycle at S phase, clarified that the inhibitory action of HK-T5 worked at the phase earlier than S phase. The combined effects of HK-T5 on the cell cycle were evaluated with triamcinolone acetonide (TA), or aspirin, the former of which is a drug synchronizing cancer cells in S phase, and the latter keeping human cells in G1/G0 phases. The combined use of HK-T5 with TA synchronized the cells at the phase slightly proceeding from G1 to S phase without toxicity. On the other hand, the combined use with aspirin made the inhibitory effect of HK-T5 inactive. Hence, the HK-T5 is attractive as a drug for the extension of cell lifespan, and anticancer therapy.
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IoT based automatic water temperature adjustor
This paper represents IOT Based Automatic Water Temperature Adjustor. IoT (Internet of Things) refers to the network of physical objects that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet. This system is for adjusting water temperature according to the possible surroundings such as home temperature, atmosphere temperature, etc. To solve problems like high water temperature while using, time-consuming waiting for water to heat and cool, high power consumption, and not satisfying water temperature this system offers the feature for automatically adjusting the temperature. Arduino, DHT11 (Temperature-Humidity Sensor), Bread Board, DS18B20 (Water Temperature Sensor), Jumper Wires, Resistor, I2C OLED, Water Heating Coil, Relay and LED are used for operating this system. The application of this system is very vast as it can be implemented in power plants, hospitals, mountain regions, local homes, and lodges. This system is time-saving, cost-efficient, easy to implement, provide automatic features, less power consumption, safety, and many more. Compared to other water geyser systems it has the feature of automatically detecting the environmental temperature and adjusting the temperature of the water accordingly. This system is still in its developing phase.
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此主題是探討水在傾斜表面上流動時所產生的水階現象。實驗結果,表面傾斜角度、單位時間的水流量、水的流速、表面粗糙度及表面材質等,皆會影響水階現象的產生。表面粗糙度越大,水階現象越明顯,水階是因為前方的水流流速因為摩擦力變慢,而後方水流追上前方,累積的結果就產生了水階現象。板子傾斜角度介於3度到60度之間皆會產生水階現象。傾斜角度越大時,其產生水階現象時的最大水流量值,卻顯著變小。原因是傾斜角度較大時,將造成水流速較快,若再加上水流量較大,大量的水就會相互覆蓋而無法產生水階的現象,因此角度大時反而要小的水流量才能顯現出水階現象。表面若為疏水性材質,造成水流集中而無法擴散流動,亦無法產生水階現象。
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雲端都市垃圾資源回收警示及清運排程系統之研究
本研究設計一個可以感測容量及感應開闔的垃圾桶,透過雲端接受各地垃圾桶的容量及使用狀態,回傳到中央戰情室統整訊息以編派人力進行回收,提高回收服務及效率。利用超音波模組感測到有人接近時驅動伺服馬達打開垃圾桶,以非接觸的方式讓使用者可以丟垃圾或回收物,另外於桶內放置超音波偵測容量,用紅藍綠三色LED顯示使用容量,桶滿的時候可控制不打開蓋子。垃圾桶的資訊會透過ESP8266 WiFi模組,利用MQTT通訊協定傳送到Node-Red建立即時的戰情室中央監控,用Line Bot發出即時訊息通知工作人員,整合的雲端物聯網系統,可以得知各個垃圾桶的狀況,達到減少人力成本及即時管理垃圾及回收物達到環境整潔並提高服務品質的目的。
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本研究以滴落時間作為探討不同「醣」的黏性差異,並與黏度計結果比較分析其效度。首先收集並檢測不同種類的單醣、雙醣和代糖是否適合進行黏性測試。除半乳糖、乳糖、水合麥芽糖、阿斯巴甜和糖精之外,其餘11種醣類均適合。接著分別進行醣類黏性探討;分析莫耳分率與黏性之關係;以不同濃度純蔗糖探討黏性;並以黏度計確認本實驗的可行性。研究結果發現:黏性以麥芽糖醇最大,而木糖醇最小,推測羥基的多寡可能是影響黏性的主要因素;混糖實驗發現純蔗糖比例越高、黏性越好,莫耳分率和黏性之間的相關係數高;純蔗糖濃度與黏性有高度正相關;最後,本實驗方法與黏度計比較具有效度。文末進行相關結果討論,並說明未來本研究結果在傳統小吃的運用。
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本研究起始於參觀風力發電機後的突發異想,想要藉由仿生學的靈感設計出可以因應颱風損害的摺翅風力發電機,進而找出理想的摺翅風力發電機原型。實驗選定了瓢蟲和隱翅蟲兩種昆蟲翅膀進行模擬,利用可摺疊的昆蟲翅膀作為扇葉,配上不同砝碼,探討了不同風速、不同尺寸、開、闔翅膀對轉動及發電效率有何影響,研究詳細記錄了摺翅風扇的表現並探討各項變因對轉動效應的影響,最後討論出理想的摺翅風力發電扇葉。本研究認為摺翅風力發電機是相當可行的做法,希望未來能實際應用於風機發電,並推廣仿生學在科學科技的妙用。
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利用Yolo 模型辨識台灣國語口手語之研究
手語為聾啞人士日常溝通的工具,但對一般人來說這是一種難以理解的溝通方式。本實驗使用深度學習的 Yolov3 與 Yolov4 模型訓練37個國語注音符號手勢,然後再驗證模型對圖片、影片、即時(Real time)攝影辨識的正確率。 實驗結果顯示:Yolo v3 圖片辨識度效果還不錯,但影片辨識度很差,而Yolo v4 不管在靜態的圖片或動態影片都有不錯的辨識率,另外在即時的影像辨識也有不錯的效果。 雖然有部分符號的辨識度很低,但這可能是訓練時照片拍攝的問題,如果可以改進拍攝的數量和技巧,相信可以大幅提升判讀的準確率。
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Application of Technical Analysis to the Stock Market
Money drives the world and in times of crisis, money is more important than ever. Most political, economic and, as we have seen recently, health crises are accompanied by pressure on the economy. With such pressure, ordinary citizens are worried about their money, which is at risk either from inflation or from an uncertain economic outlook. In such times, some people resort to appreciating their money by investing. It is wise investments that can protect savings from inflation, or at least mitigate the effects of inflation. Investing in the stock market is among the most popular ways of investing. During the global coronavirus crisis, the number of small investors more than doubled (Galik and Brody [2022]), and in 2021, Covid (new) investors accounted for 15 % of investors in the U.S. market (Schwab [2021]). It is this phenomenon that inspired the author to write this paper. Investing in the stock market is one of the riskiest forms of investment, which means that there is a high probability of losing the originally invested capital. Some companies that allow retail investors to invest state that more than 90 % of their users lose their capital when investing in the stock market. On the other hand, investing in the stock market has one of the greatest potentials for profit. In the case of a long-term investment in index funds, for example, an average annual appreciation of between 8 % and 12 % can be expected (the average appreciation of the S&P 500, the most famous US index). However, it is necessary to wait several years for stable results. To see appreciation in a long-term portfolio, it is recommended to wait at least 12 years. This is because if a recession or a simple market correction comes, said portfolio can lose up to 50 % of its value in a year. But as history shows, markets do rise over the long term, and that is what long-term investors bet on, waiting for their capital to appreciate over time. But the market does not grow all the time. The market often changes price trends, and in some rare cases a long-term trend can reverse for up to several tens of months. This phenomenon, volatility, is attempted to be exploited by so-called speculators. A speculator is an investor who sells and buys in short periods of time and thus speculates on price movements. The speculator therefore needs a way to determine the likely behaviour of the price in the foreseeable future in order to make their trades profitable. The two main ways of analysing price behaviour are fundamental and technical analysis. And since fundamental analysis incorporates a large amount of diverse information into its predictions, this paper concentrates on working with technical analysis.
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