我們擴充”Presidential”遊戲，創發出5×5範圍內的13連方棋盤，走出最大佔地範圍，並以圖論方法分析圖特徵，得到歐拉行跡與合成結果的最長路徑。環圖最大佔地結果18≤𝐴𝑚𝑎𝑥≤22，樹圖𝐴𝑚𝑎𝑥=23。歐拉行跡遇到分叉點會增加選擇，重複踩點；遇到圈則會減少重複踩點的次數；遇到有分支的環則必先走完環才走分支。依據環特徵及分岔點數量，本研究得到圖的最長路徑4≤𝐿𝑚𝑎𝑥≤8。

清理鳥糞是養鳥人士最頭痛的事，每日清理集糞盤會讓人覺得繁瑣；又如果累積到一定的量才去清理，家中環境都會飄散著鳥隻的羽粉和羽屑，造成過敏。因此本研究運用ESP32板和ESP8266板可遠端控制也可近距離手動控制清除模組及鳥糞辨識。 清除模組需不鏽鋼條固定在汙水盆上，並架設方形固定架來使鳥籠穩固。出水孔的位罝要設置在刷毛的上方，渦桿上用矽膠軟刷毛且轉速要快，才能增加清洗的力道且不會傷害輸送帶。輸送帶的材質要用0.8mm NR橡膠墊、不噴灑任何防水、防油的清潔劑且輸送帶的轉速要慢，讓渦桿上的矽膠軟刷毛完全貼合輸送帶，如此，效果才會最好。 最後整合智能晶片、「清除模組」、「鳥糞量辨識模組」並使用4K短焦攝影機製作出小型寵物鳥照顧器。

本研究旨在建置一個比Uber具更高透明度、使用者成本更低廉，並兼顧商家、外送員、消費者及平台四方獲利的購物平台。現有研究多聚焦於四方互動，但對於平台資訊透明度不足，導致安全疑慮及交易成本增加的問題研究較少。本研究通過文獻探討及訪談，找出 Uber的缺點，並利用Anaconda3、ThingSpeak、TOMTOM API、Thunkable及Python建置購物平台。平台將實時偵測龜速車提醒，為消費者提供最快送達或運費最低的訂單，並為外送員自動篩選最快送完或最高運費的訂單，以提高各方滿意度與收益。研究顯示，此平台能讓外送員薪水、商品訂單價格更透明；各方能利用平台數據調整運用；以較低抽成 讓四方獲利；以虛擬代幣提升交易安全；並增加篩選友善外送員、消費者與商家的機制。

廢棄蛋殼易產生惡臭，蛋殼含98.4%鹼性物質CaCO3；經攝氏900度焚燒的蛋殼XRD分析主要成分為CaO，拌入土壤測得排出的水pH值達12.09造成植物難以生長。本研究以蛋殼鋪在土壤當肥料的小白菜萌發率較好。膠水與蛋殼粉1:1製造出環保的蛋殼紙與市售A4紙張的性狀與著色度比較兩者皆佳；球磨三小時之蛋殼粉末可加入再生紙取代15%的原料。蛋殼粉加入釉藥中能取代原料達36%且在攝氏1230度燒成下，釉面莫氏硬度皆達7~8之間；在釉面耐酸鹼測試中，釉式中僅含石英3%的釉式在加入24~36%蛋殼粉燒成的釉面均會被酸鹼汙染變色且表面變粗糙，釉式中含石英9%釉面耐鹼測試中，加入24~36%蛋殼粉製成的釉面均無汙染變色，製成的食器釉面經SGS檢驗符合臺灣食器法規亦可作為環保的再生建材磁磚釉面。

不鏽鋼材（SS）表面改質與優化可提升抗蝕性，故極具應用價值，目前多使用昂貴合金或低成本的塗層方法。電漿沉積為先進塗層技術，其所發展的聚矽氮烷薄膜可提升抗蝕性，但表面疏水性限制其應用範圍。本研究以CF4電漿改質不鏽鋼材表面的聚矽氮烷，以調控表面之親、疏水性。浸泡模擬體液發現最佳化製程條件為：流率10 sccm、功率30 W、工作壓力80 mTorr之CF4電漿處理ppHMDSZ聚矽氮烷1分鐘，將薄膜改質為親水性並維持94%抗蝕性。分別在體液與海水環境，改質後薄膜仍具抗蝕性與親、疏水穩定性，且表面可抗蛋白質沾黏。本研究結果可發展為風機水下結構之抗蝕材料，此親水表面於金屬醫材應用亦具突破。

本研究透過JY61P六軸加速度陀螺儀與ESP-32S控制板，製作出球形水流流場監測模組。先以沙崙海水浴場的海岸立體模型進行實驗，藉由Unity 3D軟體與C#程式編寫繪製出路徑圖，擬合出研究水域的水流狀況。由實驗得知沙崙海水浴場海岸立體模型的鳥喙處水流會朝岸邊繞行；而海岸線中間與南側岬角的水流皆沿著海岸線向鳥喙處移動，與參考文獻之研究結果吻合，確認本研究所設計的簡易水流流場監測模組可行性與準確性。 由本研究建立出的水流流場監測模組系統，在青山瀑布水流流場監測實驗中發現在瀑布水潭中，不同的深度會有不同的水流差異產生；且在不同位置可能會有斷層式的地形高低變化，因此在未知水域活動時，應注意水域環境狀況以確保自身安全。

This thesis presents the design and construction of a small-scale humanoid robot, covering all aspects from 3D modeling to electronics design and programming. The robot is built entirely from custom 3D-printed components, with a new servomotor developed specifically to meet the project’s requirements. During the robot’s development, custom electronics were also designed, leading to a modular platform that enables easy interaction with diverse modules like servomotors and inertial measurement unit (IMU) modules. This modular approach allows these components to be programmed and controlled with minimal adjustments, as well as making development of potential future modules straightforward. The robot is operated via a computer application that includes a graphical user interface for displaying real-time data from the robot.

Current research shows Northern Guam to be composed of porous limestone bedrock which allow groundwater to flow out. One large discharge point has already been identified last year in north-western Guam at Ayuyu Cave. However, little is known about Tumon Bay which is known to comprise karst watersheds which should allow for SGD. This project has examined invisible groundwater discharge using a salinity meter and was able to detect two areas of concentrated freshwater discharges in Tumon Bay, with a few minor ones scattered throughout the bay. These seeps were found to have consistently lower salinity while pH varied, and hosted more marine life than other high salinity areas. Further unique coral growth in Tumon Bay’s inner lagoon was associated with these two freshwater discharges with the pH levels further segregating the types of coral species found during on-site observation. Two coral communities, staghorn Acropora and massive Porites, were found adjacent to the surveyed groundwater seeps. It’s inferred that lower wave energy in eastern Tumon Bay allows for greater plankton and other microbial growth leading to more heterotrophic coral growth, favoring Porites corals, while Western Tumon Bay has higher wave energy which leads to the growth of more autotrophic corals, such as the Acropora found in the first area surveyed. This is the first study to document the presence, location, and consequences of invisible freshwater discharges across the billion-dollar bay. This study gauges the effects of SGD on inner shore habitats, also providing a coral cover assessment across Tumon Bay using transects and quadrats. These discoveries allow for strategic coral planting, designated areas needing government protection, and show areas of appealing inner lagoon coral growth for tourism.

When a leaf of a plant encounters stress, how does the plant convey the stress signal to other tissues and manage nutrient distribution? This field of study has been largely unexplored. However, the unique interconnected frond structure of Lemna trisulca, along with the use of a divided Petri dish, is very suitable for handling localized stress and investigating the mechanisms of intracellular signaling and nutrient distribution. Research has shown that when the mother leaf experiences localized stress, it releases healthy daughter leaves to minimize collateral damage to the daughter leaves. Conversely, when the daughter leaves face localized stress, the mother leaf chooses to retain them and continues supplying them with nutrients to support their survival. In-depth studies revealed that stressed daughter leaves accumulate Reactive Oxygen Species (ROS), triggering nutrient distribution by sending a distress signal to the mother leaf. This prompts the mother leaf to use Ca2+ as a signaling molecule to deliver nutrients to the daughter leaves. Selective detachment is regulated and triggered by the interaction between Ca2+ and ROS within the mother leaf. When the mother leaf undergoes stress, Ca2+ acts upstream to induce ROS accumulation at the nodes, sending a unidirectional detachment signal to the daughter leaves. This causes ROS accumulation at the daughter leaf nodes, inducing detachment and thereby reducing the collateral damage the daughter leaf could experience due to the mother leaves.

本研究旨在探討受試者重要他人對象與個體容貌焦慮知覺程度之關係，及個體背景變項對容貌焦慮之知覺程度與選擇重要他人對象之情形。本研究以經信效度分析之自編量表並藉由Google表單進行問卷調查。本問卷採不記名方式，研究對象之性別與年齡層不拘。研究結果顯示，女性受試者的容貌焦慮知覺程度顯著高於男性；青少年及青年族群容貌焦慮知覺程度普遍高於青壯年族群。重要他人對個體的重視程度愈高，與個體的容貌焦慮指數愈低有關；重要他人對個體的信賴程度愈高，與個體的容貌焦慮指數愈低有關；重要他人對個體的關注程度愈高，與個體的容貌焦慮指數愈低有關。重要他人對個體容貌的干涉程度愈高，與個體的容貌焦慮指數愈高有關。

本研究延續先前自己所做的研究進行延伸。首先研究者嘗試利用Python、MediaPipe、OpenCV進行手部辨識，判斷使用者是否用正確的手指按壓鍵盤，逐次開發打字系統提升精進指法的練習平台；在過程中研究者觀察到多數人打字習慣都不一樣，所以嘗試將打字習慣運用機器學習形成密碼，讓其他人就算知道密碼也無法輕易解密，因為他們並沒有使用者的打字習慣。並提出三項研究目的，分別為增加機器學習模型Random Forest並觀察準確率，提出最短密碼之研究方法及忘記密碼系統之研究方法，並提出關於電腦前後端問題的解決方法。目前研究已能夠判斷使用者是否用正確的手指按壓按鍵。未來預計解決打字到拍攝的時間差回推影像等問題，並將蒐集更多數據觀察觀察模型結果，找尋一種最佳的密碼模型。未來也會將此打字系統架設到網站上，並且蒐集使用者的人機體驗感想回饋，進而更為精進完善本系統。

探究水流中單擺擺盪變因的影響，確認擺盪的物理機制，用於發電裝置優化調控。單擺實驗以動能轉換參數f*X評估效能高低，於實驗中發現阻礙物兩側流速差造成偏移力並產生渦流，若渦流結構完整，說明流速差大，偏移力大。擺長越長，渦流頻率(f)降低且擺幅增大；擺錘直徑增加使f降低、擺幅及渦流直徑增大。流速10cm/s下，最優單擺-擺錘直徑5cm、擺長20.5cm、33.7g。加阻流柱(擺)可降低f增加擺幅；水流速與共振擺長有量化關係。擺盪發電組的圓筒密度接近水時有較佳的發電效益，於不同流速下，改變擺長可調控發電組之震盪頻率使之共振，增加擋板可增加發電組擺幅使發電效能提升。