雙音箱柳琴和單音箱柳琴的不同處在於雙音箱柳琴比單音箱柳琴多加裝了一個共鳴板。我們想要了解單音箱和雙音箱柳琴的結構、發聲原理的不同。首先測量單音箱柳琴的頻率。之後把面板取下，並沿琴緣加高五公分。再次測量加高後柳琴的頻譜，又分別測量有加裝直徑十公分和直徑十八公分的圓形共鳴板的頻譜。本實驗測量三種柳琴，單音箱柳琴、加高音箱的柳琴、雙音箱柳琴。整理過測量到的頻譜圖後，發現雙音箱柳琴比單音箱柳琴更容易產生高頻，在單音箱柳琴、加高音箱的柳琴、雙音箱柳琴這三種類型的柳琴中，只有雙音箱柳琴的高頻最為顯著。另外，十八公分的共鳴版比十公分的共鳴版更能在高頻達到共鳴效果，四條弦中一弦(最細弦)可以產生最高頻率、最大響度。透過此雙音箱柳琴的實驗，希望可以將其原理應用在其他弦樂器上。

In all experiments for detection of WIMP dark matter, it is essential to develop a classifier that can distinguish potential WIMP events from background radiation. Most often, clas- sifiers are developed manually, via physical modeling and empirical optimization. This is problematic for two reasons: it takes a great deal of time and effort away from developing the experiment, and the resulting classifiers often perform suboptimally (which means that a greater amount of expensive run time is required to obtain a confident experimental result). Machine learning has the potential to automate this and accelerate experimentation, and also to detect patterns that humans cannot. However, two major challenges, which are shared among several dark matter experiments, stand in the way: impure calibration data, which hinders training of models, and unpredictable physical dynamics within the detector itself. My objective was to develop a set of machine learning techniques that address these two problems, and thus more efficiently generate highly accurate classifiers. I was able to obtain raw data for two dark matter experiments which exhibit these challenges: the PICO-60 bubble chamber [2], and the DEAP-3600 liquid argon scintillator [1]. For each experiment, I developed and compared three general-purpose algorithms intended to resolve its inherent challenge (impurity and unpredictable dynamics, respectively). In PICO-60, background alpha and WIMP-like neutron calibration datasets are used for training; however, there is an impurity of 10% alphas in the neutron set. While a conventional classifier was developed (and is believed to be 100% accurate), machine learning in the form of a supervised neural network (NN) has also been previously explored, because of the benefits of automation. Unfortunately, it achieved a mean accuracy of only 80.2% – not usable as a practical replacement for conventional methods in future iterations of the experiment. In DEAP-3600, photons are absorbed by a wavelength shifting medium and re-emitted in an unpredictable direction, before being detected by one of 255 photomultiplier tubes (PMTs) around the spherical detector. The randomness severely limits the accuracy of conventional classifiers; in a simulation, the best so far removes 99.6% of alpha background, while also (undesirably) removing 91.0% of WIMP events. Because of physical limitations, simulated data is used for calibration, with 30 real-world experimental events available for testing. I have written a research paper [11] about my work on PICO-60, which has been approved by the PICO collaboration and pre-published at https://arxiv.org/abs/1811.11308. It is currently undergoing peer review for publication in Computer Physics Communications. All PICO researchers are listed on my paper for their work on the original PICO-60 experi- ment. They did not contribute to this study; I completed and documented it independently.

本研究旨在建立光譜測量(在農藥檢測方面)普及化的基本需求，希望建構可在普遍環境下使用之光譜檢測系統。 簡易光譜儀中利用卡式馬達與感光元件(本研究中為光敏電阻)，旋轉週期與測量時間差，設計公轉式感測系統(the System of Twirl Sensor，文中簡稱STS)，提高光譜儀感測之解析度。在簡易光譜儀的核心目標(提高光譜科學普及度)中，加強稜鏡的可採用性。 研究中試著討論光譜和待測物的相關性，並以研究現有光譜為基礎，盼能建立連複方農藥都能預測的方式。

本研究以紫膠蟲色素添加媒染劑進行染白頭髮實驗。實驗結果顯示，紫膠蟲以乙醇及超音波震盪提取後，色素萃取率為2.89%。經分光光度計檢測其主要吸收波長為489nm，吸光值2.968。如以木醋酸鐵液做媒染劑時，染髮後色素滲透率達27.15%，比荔枝木灰水的16.88 %高，也比無煤染組別11.89％高，此結果證明紫膠蟲色素在酸性下有很好染髮色牢度。此外，如添加指甲花粉以複染方式進行，其CIE L＊值為51.22比單以指甲花粉染髮57.40低，此數據代表複染方式優於單次染髮，如紫膠蟲色素添加指甲花粉能增加染髮色彩。綜合前述結論證實，紫膠蟲色素可運用於天然染髮劑中進行白髮染色，且將危害果樹生長之紫膠蟲，開發成具經濟價值的化妝品，並可減少果樹噴灑農藥，達到環境保護的最終目標。

「在兩個7×7方陣中各選2格塗色，若其中一個方陣旋轉90°、180°、270°之後和另一個相同，則稱它們有相同的塗法，問有多少種塗法?」 我們從邊長小的方陣開始，將塗法一個一個畫出來，發現兩個塗色的格子有線對稱和不對稱兩種關係；塗４格時，發現多出了點對稱的關係。由此，我們想出旋轉複合(後面將解釋)的方法，並發現它可以運用在長方形塗方格和正六邊形塗三角形格子等平面問題。 接著我們推廣到立方體塗兩立方格，由於立方體的對稱軸太多，與其將之分為許多對稱關係，不如直接選格塗色，雖然長方體和正立方體的計算方法複雜許多，但其中仍有部分可運用從方陣和長方陣得出的公式。

本研究是從正多面體的點線面出發，探尋由二種或兩種以上的多邊形所組的多面立體模型。首先，認識五個正多面體的模型架構，並從正多面體的點線面個數找到了關係式，這就是有名的尤拉公式。 嘗試將正多面體經過重複性截角平切的操作，推演出一個新的多面體，進而演算建立半正多面體的推算模組。在兩次截角的過程中，共產生了21個由兩種或兩種以上的多邊形所組的多面體。其中有十一個柏拉圖截角後的新多面體與阿基米德立體很相似。 從操作中觀察討論，歸納出大截角時，因頂點相鄰有三面，故會形成一個三角形，且原來的面的形狀不變；小截角時，其原來的面邊數會增為兩倍。進而推測出簡單且容易了解的多面體模組，從而認識到各種多面體的組成形式。

在偶然的機遇下，我們原為盛裝泥狀銅而放在負極下的小瓶子，播成了美麗的〝銅〞樹 銀花。自此開始研究操縱的方法及原理，我們改變不同的變因，包括電解液濃度、電極材質、 液面高度、電壓、電解液溶質等因素，並且探討這些變因對銅樹現象的影響。

本研究自烏桕樹下的土壤及高砂鉅鍬形蟲幼蟲體內分離出13種微生物，其中2種可利用烏桕樹莖的養分生長，11種可利用種子的養分生長，推測微生物與鍬形蟲、烏桕樹存在密切關係。進一步研究發現，13種微生物中有3種可分解柴油，其中2種為分離自土壤的不動桿菌屬細菌(Acinetobacter sp.)，1種為分離自幼蟲腸道的芽孢桿菌屬細菌(Bacillus sp.)；菌株的14天柴油分解率粗估可達48~55%；將經由菌株分解後的柴油乳化層撒在綠豆上觀察其生長情形，發現可降低柴油對綠豆造成的傷害。在耐受性實驗中顯示，此3菌株耐鹼性達pH10，耐鹽性達3~4% NaCl。由於菌種均來自花蓮本土，且具備處理海洋油污潛力，未來經過審慎評估應可實際運用，避免因使用外來菌種對環境造成的二次傷害。

經過本研究藉由自行設計測量交聯物的軟硬度、彈性和延展性，發現硼砂水的濃度會影響交聯作用的程度，交聯劑與膠水的成形時間也會受影響。也就是說硼砂水濃度低時，交聯物軟硬度偏軟、彈性差、延展性好，成形時間較長；硼砂水濃度高，交聯物軟硬度偏硬、彈性好、延展性差，成形時間較短。同時我們也發現當硼砂水濃度在0.01g/ml附近為延展性的臨界點，也就是說硼砂水濃度低於0.01g/ml時交聯物呈「假水」狀態。當硼砂水濃度為0.02g/ml附近是軟硬度、彈性和延展性的臨界點；也就是硼砂水濃度達0.02g/ml以上，交聯物的軟硬度、彈性和延展性皆不再受硼砂水濃度持續增加而有變化。

本研究主要探討「影響C型快扣包覆力的因素」，希望能開發CP值佳及可應用於生活上的產品；我們花費二年在創造力課進行研究，第一年先開發C字扣的創意點並申請專利，第二年針對最佳條件進行研發。測量包覆力方法是「將容器放入C型快扣，陸續放置重物，測量5次可承受重物不滑動時的重量」；我們三D繪圖列印出各條件實品共77種，第一階段改變基本結構條件得知，影響包覆力效果為減少內徑 >增加厚度 >增加高度 >增加弧長 >增加密度。第二階段改變變化結構條件得知，影響包覆力及CP值效果為加止滑墊 > 增加3支條 > 對照組 > 孔洞數2 > 改為ABS材質。 針對物品重量不同也開發不同掛置方式的C型快扣，有磁吸式、ㄇ型掛勾式及吸盤式可應用於生活中。

我們知道天上恆星周日運動轉動的角速度與地球自轉的應該會是一樣的，但是因為大氣折射和大氣擾動的影響，所以當我們真正觀測的時候，其轉動的角度真的會和理論一樣嗎？我們照出一些連續時間的照片，分析找出觀測值誤差，這是大氣折射和大氣擾動所造成的。 以觀測值誤差和實際仰角做數據分析，第一:風速越大，仰角與觀測值誤差就並無太大關聯，因為大氣擾動的視相偏差很嚴重。第二:風速越大，大氣擾動視相的最大和平均視相偏差也越大，若無風，大氣擾動很小，其觀測值誤差幾乎是大氣折射造成的，和修正公式一樣，仰角越小，觀測值誤差越大。但無風時，但是觀測值誤差和公式修正值不是完全一樣，代表大氣擾動還是造成一定誤差的影響。

In today's world, medicine is very advanced, thanks to which many diseases that were previously considered incurable, are now treated almost all over the world. But, unfortunately, some diseases are still incurable and can only facilitate their course. One such disease is Raynaud's disease or Raynaud's syndrome. Statistics show that worldwide the percentage of patients with this disease is 3-4%. Raynaud's disease is a paroxysmal spasm of the arteries of the fingers of the hand, rarely the feet when cooling the extremities. As mentioned earlier, this disease is incurable. That is why the creation of a device that can help people overcome many inconveniences due to the inability to stay in the cold without gloves or the problem of discomfort in heated gloves is relevant. And one of the solutions to this problem is to create special heated gloves. This work is also relevant, because even existing treatments, such as medication and conservative, do not completely solve the problem of reducing the sensitivity of the hands when cooled or even the slightest moisture on the palms. Also, these methods are very expensive, so our device will be cheaper and more affordable than existing ones. When using our gloves together with the two already mentioned methods, the treatment will be more effective. Unfortunately, medical and conservative treatments will lead to complications over time, so we not only maintain sensitivity in the hands, but also prevent further amputation of the upper extremities and the emergence of human health problems associated with the effects of drugs on the whole body. Nowadays, people work hard to be able to live well, but it is difficult for people with Raynaud's phenomenon to do so, as the sensitivity of the upper extremities decreases during the exacerbation of the disease. It is important for us to maintain the sensitivity of the hands by normalizing the thermal balance of the hands, which leads to the elimination of spasms of the atria of the hand. The aim of the work is to create a simple and effective means to normalize and maintain the thermal balance of the upper extremities, in order to reduce the loss of sensitivity of the hands in patients, as well as reduce the likelihood of spasms of the arteries of the fingers. The subject of the study is the course of Raynaud's disease and the current treatments for it. The aim of the study is the creation of special gloves that can stop spasms of arteries and maintain blood flow in them by balancing the heat balance in the hand, and depriving patients of the disease during their wearing During the work the following tasks were set: - to theoretically investigate the peculiarities of Raynaud's disease; - to analyze the existing clothes on the market with heating; - to develop and improve its own design of heated gloves, which will be affordable and easy to use. - calculate the cost of gloves taking into account all factors