台灣原生種小紅黑馬陸棲息在潮濕腐質土。齡數愈接近成蟲，棲息土壤的位置愈深。喜愛棲息在落葉層下的腐質土，呈叢生分布。成蟲有正趨地性、負趨光性。隨齡數增長，複眼避光程度漸增。成蟲對水的耐受度較幼體高。馬陸遇乾燥性粉末會迴避，對具刺激味道的植物較不會迴避。驚嚇時身體捲曲呈圓環狀或出現排泄行為。成蟲不會因土壤震動而從土壤中外出活動。成蟲發生期在夏初，喜愛食用腐爛的水果。步足數目＝（體節數） Ｘ4－18。族群中雄性占19.8％，雌性占80.2％。夏末時交配最頻繁。眼為複眼，幼體五齡前，單眼數目的三角形底邊與齡數有規則關係。幼體期約一年，蛻皮八次後為成蟲。族群的生存曲線屬於平均死亡率型。蛻皮前體色變淡，呈螺旋狀蛻皮。

The number of natural disasters has risen significantly in recent years, and with climate change there is no end in sight. Consequently, the demands on rescue forces around the world are increasing. For this reason, I asked myself what I can do to improve the work of rescue teams. Advances in artificial intelligence and drone technology enable new possibilities for problem solving. Based on the technological advances mentioned above, an autonomous Search and Rescue drone was developed as part of this project. The system assists rescue workers in searching for survivors of natural disasters or missing people. This paper also suggests a method for prioritizing survivors based on their vitality. The system was implemented using a commercial Parrot ANAFI drone and Python. The software was tested on a simulated drone. To simplify the development, the whole system was divided into the following subsystems: Navigation System, Search System and Mission Abort System. These subsystems were tested independently. The testing of solutions and new concepts were performed using smaller test programs on the simulated drone and finally on the physical drone. The Search and Rescue system was successfully developed. The person detection system can detect humans and distinguish them from the environment. Furthermore, based on the movements of a person, the system can distinguish whether the person is a rescuer or a victim. In addition, an area to be flown over can be defined. If something goes wrong during the mission, the mission can be aborted by the Mission Abort System. In the simulation, the predefined area can successfully be flown over. Unfortunately, controlling the physical drone does not work. It stops in the air after takeoff due to the firmware of the drone. It does not change the flight state of the drone, which results in all subsequent commands from the system being ignored. This paper shows that artificial intelligence and drone technologies can be combined to deliver better rescue services. The same system can be applied to other applications.

因化石燃料枯竭及燃燒帶來之汙染，尋找替代能源為當今致力研究之目標。本研究將大豆油或廢食用油反應製生質柴油，試以鉍酸鋰或鉻酸鋰為目標，改變合成條件得最佳催化劑，找尋最佳反應條件。 此研究之催化劑，分別最佳反應條件：大豆油製生質柴油之轉酯率皆98%以上。催化劑最佳反應條件分別為：L2B3-800-3，醇油比1：18，觸媒用量6 wt %，反應2 hr。L1C1-800-3，醇油比1：24，觸媒用量6 wt %，反應2 hr。廢食用油製生質柴油以鉍酸鋰為催化劑尤佳。但此兩組催化劑，重複利用的測試結果不理想。 本研究產製之最佳生質柴油，經CNS標準方法檢測，各條件大致符合國家規範，故本研究使用之鉍酸鋰及鉻酸鋰均是具潛力開發之催化劑。

現今的水資源充滿各式汙染物，不僅威脅地球環境更對人類造成巨大的危機。本研究探討多種材料吸附染料及重金屬離子的效果差異。 首先將時間和材料質量固定，觀察、比較六種材料(含自行合成的四種材料和現成的ZIF-90, A520) 吸附染料的功效，實驗後得出Zn-MOF-74之能力明顯優於其餘材料。延續使用Zn-MOF-74為反應材料，可明確得知其吸附染料效率隨時間變化有下降的趨勢。我們想比較相同材料吸附染料及重金屬離子的效果差異，故我們使用Zn-MOF-74吸附鉛離子，間隔固定時間取出並秤量PbSO4沉澱之重量，即可推出Pb2+在水中含量的變化。由實驗結果可發現Pb2+含量亦有顯著的減少。由以上實驗可知Zn-MOF-74在吸附染料和重金屬皆有不錯的成果。期許在未來能夠實際應用並解決日益嚴重的水汙染議題。

我們利用一般裝潢使用測量距離的雷射測距儀，配合理論推導，自行設計實驗方法與步驟，成功地精確測量各種水溶液在室溫下的折射率。透過我們的實驗方法與高中光學插針法測量液體折射率的實驗比較，測量誤差比插針法得到的實驗結果小一個數量級。我們還利用此實驗方法精確測量不同濃度的各種水溶液之折射率，探討折射率與濃度之間的線性關係。我們更進一步測量雙溶質水溶液與不互溶的兩液體，發現其折射率皆具有線性疊加的關係。

本研究利用蠟燭燃燒產生的碳焦，混加蘆薈及自製史萊姆開發為綠色產品~薈碳拉膜。研究中為取得碳焦，探討不同火源、吸附材質及離火焰高度對碳焦產生的影響，發現距離蠟燭火焰高度1公分處，以不鏽鋼杯底收集，可取得最多碳焦量。並以自組各種工具測試薈碳拉膜的延展性、隔熱及耐酸雨濕沉降等功能及運用電腦課所學編寫程式-程小奔進行RGB透光測試遮光效能。研究試驗出蘆薈碳焦拉膜的最佳組成比例為蘆薈：碳焦：自製史萊姆(20：0.6：10)。經與市面隔熱紙比較，蘆薈碳焦拉膜具有較佳展延性，防護酸雨濕沉降功能、遮光及隔熱能力佳，有取代化學隔熱紙的可能性，符合綠色化學節能、低毒、簡潔、可解原則，是值得推廣的綠色優質產品。

本實驗利用自製的x-Zylo（圓筒飛行器）發射器，觀察不同飛行條件下，圓筒飛行器的總位移及側偏距離有何不同。在做完測試後，我們發現轉速與初速是個值得研究的方向，於是我們決定深入探討圓筒飛行器旋轉速度與初速對飛行筒的側偏距離及總位移的影響。結果顯示，轉速較快的狀況下圓筒飛行器側偏距離較小；轉速與初速都和總位移成正相關；而初速越大，側位移越大。於是我們憑藉此結果，並參考文獻，提出了幾項理論來解釋此現象，並且將我們的理論寫成程式，希望能驗證我們理論的可行性。

本研究利用電磁線圈作為動能，改善市售發球機馬達易過熱的缺點 ，所 製作的乒乓發射器具有 低成本、體積小、方便攜帶及智慧訓練等功能性，分成兩大部分： 一、機電系統：利用電流磁效應原理進行實踐，改變不同變因測試，找尋對應落點之最佳參數。另外利用手機 APP程式搭配Arduino撰寫，達成不同球路變化的無線控制。 二、智慧訓練：利用Arduino結合python程式建立專家系統，在訓練選手前，先進行前測，再依不同程度給予對應訓練等級，系統可依照受試者的進步而精進。 本實驗亦在半球桌的回擊落點處放置壓電片及LED燈條以接收撞擊訊號，過程中可即時顯示擊球落點位置、力道大小及計算成功率，並根據AI大數據矯正受試者錯誤姿勢，期望使受試者獲得更有效的訓練成效。

有個經典的騎士巡邏問題 : 騎士用馬步移動，每個格子至多走一次，試圖找出最多步。我們定義2x3的矩形方格圖中走對角線為大馬步，2x2的方格中走對角線為小馬步。依照大馬步、小馬步輪流交錯走，我們發現 : 若指定特殊起始點，在(偶數m) x (偶數n)的矩形中可以走完所有的格子。若騎士能將格子走完，本質上非常類似漢米爾頓路徑。其它無交錯的走法(如連續大馬步或連續小馬步)，我們也找出最多步的一般式。本作品的價值在於擴充馬步為大馬步與小馬步，推廣正方形為任意比例的矩形，並用深度優先搜索(Depth First Search，以下簡稱DFS)驗証結果。關鍵論証在於著色法與DFS ，若騎士無法走完，著色法能証明步數的最大值，DFS能讀完圖中所有資訊。結論的一般式紀錄於後。

The research work is dedicated to analyzing the impact of disposable tableware and packages made from synthetic polymers on people and the environment, and the search for ecological alternatives to synthetic polymers used in their production. Various types of disposable tableware and packages, their composition, production technology, harmful effects on the human body, environmental pollution, processing and recycling were studied. The statistics of the use of disposable tableware and packages in Ukraine and the world as a whole, the places of their use were analyzed. Ecological alternatives to disposable tableware and packages made from various natural materials have been studied. A practical study of the use of organic waste and wastepaper for the production of ecological disposable dishes and packages was carried out.

Triage is the process by which nurses manage hospital emergency departments by assigning patients varying degrees of urgency. While triage algorithms such as the Emergency Severity Index (ESI) have been standardized worldwide, many of them are highly inconsistent, which could endanger the lives of thousands of patients. One way to improve on nurses’ accuracy is to use machine learning models (ML), which can learn from past data to make predictions. We tested six ML models: random forest, XGBoost, logistic regression, support vector machines, k-nearest neighbors, and multilayer perceptron. These models were tasked with predicting whether a patient would be admitted to the intensive care unit (ICU), another unit in the hospital, or be discharged. After training on data from more than 30,000 patients and testing using 10-fold cross-validation, we found that all six models outperformed ESI. Of the six, the random forest model achieved the highest average accuracy in predicting both ICU admission (81% vs. 69% using ESI; p<0.001) and hospitalization (75% vs. 57%; p<0.001). These models were then added to an Android application, which would accept patient data, predict their triage, and then add them to a priority-ordered waiting list. This approach may offer significant advantages over conventional triage: mainly, it has a higher accuracy than nurses and returns predictions instantaneously. It could also stand-in for triage nurses entirely in disasters, where medical personnel must deal with a large influx of patients in a short amount of time.

音酵交響曲探討酵母菌與聲音三要素的互動關係。本文主要研究音色、響度、音調與酵母發酵之變化情形，利用不同聲音刺激探討對酵母發酵過程是否產生影響。在控制組樣本中，酵母發酵過程大概會在50-70分鐘達到高點，並隨時間而逐漸下降。在木琴組別處理之下，發現木琴低音小聲處理之下效果最好；在胡琴組別中，以胡琴低音中聲處理下能提升發酵效果；在鋼琴組別中，在鋼琴高音大聲中能提高酵母發酵體積；在低音組別中探討響度的變化，發現小聲對酵母菌生長最好；在小聲組別中探討音調的變化，發現低音對酵母菌生長最好；在低音組別中探討音色的變化，發現木琴對酵母菌生長最好。故音色、響度、音調確實可以影響酵母的發酵速率。