本作品希望能協助消防員在進入未知火場前，可以協助了解情況及判斷，使用物聯網、影像辨識、自走車技術，建置一個移動式火源偵測及遠端滅火裝置，具有手動及自動控制功能。 在火災現場時，可以手機方式操作，馬達帶動機器人平台前、後、左、右移動，透過鏡頭傳回影像畫面，人員如看到有火，可按下啟動噴灑乾粉按鈕，遙控滅火。當機器切換為自動控制方式，前置鏡頭傳回的影像，當有火源時，則會自動辨識火，並啟動噴灑滅火。有自動按壓滅火器壓把的功能，是因為在滅火器握把上，設計一個按壓驅動裝置，噴灑乾粉， 此為偵測火源滅火裝置 。 本作品說明書內使用之照片，大部分為第1指導教師拍攝，部分為引用自產品網站照片。

我們想從提升實驗室中長晶的效率，來製造漂亮的寶石。因此先從硫酸銅的長晶開始，將晶種移到用Arduino電路板裝設的半自動長晶儀器中，用程式去控制攪拌速度及溫度。經過多次的測試，了解長晶的各種參數，最後總結出最佳的長晶策略是：把長晶的溶液攪拌速度調低，加上每1.5小時的人工上下攪拌，從準安定區的高溫邊界57.5 ℃，每1～2小時以0.5℃階梯式的降溫方式、降到比不安定的邊界高0.5 ℃，以不斷創造最高的過飽和濃度。經過6小時，每小時長晶量越來越多，所以長晶的最後階段、每次降溫0.5℃是很關鍵的！接著我們將結晶系統改成氣泡式全自動的方式，使濃度可以自動上下左右混合均勻，因而提高了長晶量，使探索各種晶體的成長機制更有效率！

本研究旨在探討廢棄牡蠣殼（主成分CaCO3）在模擬加壓環境下與二氧化碳及水反應，進行化學固碳（CaCO3+H2O+CO2⇌Ca(HCO3)2)的可行性，並連結深海高壓環境有助於穩定碳酸氫鈣的概念。研究小組設計實驗裝置(包含固碳反應艙、二氧化碳集氣筒、未反應二氧化碳收集筒)模擬壓力，探討反應時間、牡蠣殼粉用量、初始壓力、水溶液種類、混合方式及溫度等變因，並以二氧化碳氣體體積減少量作為觀察指標。 研究結果顯示，牡蠣殼粉確實能與CO2進行化學反應，反應量顯著高於單純的CO2物理溶解。進一步實驗發現，提高壓力、降低溫度、加強混合(每5分鐘攪拌)及延長反應時間均能提升CO2總反應量。然而，在本實驗條件與時間範圍內(最長60分鐘)，3克牡蠣殼粉的效果優於6克及9克，且純水效果優於海水。本研究驗證了牡蠣殼加壓固碳的可行性，並模擬深海環境來找出反應效率的關鍵因素。研究小組進一步發想深海牡蠣殼固碳系統，為此廢棄物再利用及深海固碳概念提出創意規劃。

Energy has had an enormous impact on the development of technology and is a main factor in humans’ advancement towards an evolved society. Nevertheless, nonrenewable energy resources – which are the most effective in everyday application - have led to changes in the climate, environment, human health, and the world in general [1], which has encouraged researchers to switch to the use of renewable energy sources. Solar Cells are one of the most effective resources that rely on renewable energy. They come in a variety of types, operation methods, and efficiency as shown in Figure 1, including Dye-Sensitized Solar Cells (DSSC), which, inspired by photosynthesis in plants, uses photo-sensitive dye to capture sunlight and generate electricity. DSSCs were proved to have generated a great deal of interest and are one of the most promising solar cells among third-generation PV technologies, due to their low cost, simple preparation, good performance, and environmental friendliness compared to conventional photovoltaic devices [3]. However, their efficiency is quite insufficient for everyday use. Previous studies proved that Tandem DSSCs – which are two dye-sensitized cells stacked on top of each other – are able to enhance cell performance. The light absorption range of a tandem cell is increased because the bottom cell behind the top one absorbs and uses the incident light that was not absorbed by it [4]. It operates as shown in Figure 2, where the light photons excite the electrons of the dye molecules. The electrons are then transported to the FTO (conductive glass) by the semiconductor, which is used in the figure as TiO2 nanoparticles. The electrons pass through the circuit to perform the work, then move to the counter electrode (shown as Platinum). They are then transported by the electrolyte (I-/I3-) back to the dye molecules, and the process is repeated.

為三隻小龜創造一個乾淨永續的生存空間，激發我們隨時產生的小小創意，透過探究實作完成我們的「龍蝨號」水中清道夫它沒有高科技的AI人工智慧和酷炫的外表造型，只有單純外表和簡單機械智慧：一、利用虛實連接的可變四種齒輪比的變速裝置；二、超距力實踐的磁力傳動裝置；三、尖端接觸減少摩擦力的磁浮構造；四、雙微動開關構成的避障裝置；五、磁簧開關達成隔空啟動的實現；六、可充電鋰鐵電池續航無限；七、善用材料與物件特性，創發出簡易、快速的替換操作；八、船體不偏航的關鍵─在船體後方並列的「泵」導風罩和螺旋槳的組合─轉動方向要相同。「龍蝨號」啟航一池清爽，三隻小龜永保安康。

本作品主要探討在網格上進行全等切割的方法數，並分析其擁有性質，於研究過程中發現當方形網格邊長達到6時，切割路徑會產生「回繞」的複雜情形。因此本次研究由「回繞數」為0的切割路徑討論起，並給予網格分層的定義，依序探討正方形網格、長方形網格、三角形網格及六邊形網格切割成不同等分時的方法數，而後我們再進一步討論正方形網格「回繞數」為1時的全等切割，並利用遞迴式得出切割方法數。 此外在研究中，我們透過排列組合計算出長方形網格在不受回繞限制下的一般式，並嘗試討論立體網格的情形，在增加對「懸空數」的限制下，經計算得出了有趣的結果。

One of the main factors that contribute to fire incidents and the excessive heat people feel during a heat wave is the building materials used, and one such material that possesses durable and heat-resistant properties is sandwich panels. A possible structure that can be used to model sandwich panels is honeycomb structures; however, further research has yet to be conducted on its applications as a heat-resistant urban construction material. This study aims to design a three-dimensional model of a honeycomb sandwich panel and simulate its performance under different thermal and structural stressors. A 3D model of the honeycomb sandwich panel was generated using Autodesk Fusion 360. Then, multiple versions of the panel were generated with varying heat-resistant core materials—namely, aluminum, nickel, nickel-copper alloy 400, and copper—along with polystyrene as the core material for the control model. The following properties of every panel were assessed using finite element analysis (FEA): static deformation, stress distribution, strain distribution, total heat flux, and thermal gradient. Results showed that when subjected to varying structural loads (2 kN, 5 kN, 7 kN), the nickel-core panel demonstrated the best results in terms of static deformation and strain distribution due to its relatively lower deformation and elongation values, respectively. Meanwhile, under the same structural loads, the aluminum-core panel performed better than other core materials in terms of stress distribution due to it having the relatively highest difference between its simulated von Mises stress and its yield strength. The honeycomb sandwich panels have also shown to possess heat-resistivity when subjected to a thermal load of 90°C, with polystyrene being the most promising material overall in terms of heat-resistance due to its relatively lower heat flux and thermal gradient. The results from this study would contribute to future research on honeycomb sandwich panels and may be used in real-life applications.

Chronic kidney disease (CKD) represents a significant public health challenge, often referred to as a “silent disease” due to its asymptomatic progression during early stages (1–2). Consequently, most diagnoses occur during advanced stages (3 and beyond), where treatment options are more complex and outcomes are less favorable. Globally, CKD affects over 850 million individuals, with 434.3 million cases in Asia alone. Despite its prevalence, early-stage awareness remains alarmingly low, with only 5% of affected individuals aware of their condition. Existing screening methods are predominantly hospital-based, expensive, and time-intensive, limiting their accessibility, particularly in resource-constrained settings. This underscores an urgent need for more accessible and efficient diagnostic tools to enable early intervention. In response to this critical problem, we developed KidneyLifePlus+, an AI-powered platform that leverages advanced machine learning models, including U-net, ResNet-50, and YOLO v8, to analyze retinal images for early CKD detection. These models are integrated to ensure high screening accuracy by identifying subtle biomarkers indicative of CKD progression. Complementing the software, we designed proprietary hardware capable of capturing high-resolution retinal images, delivering performance comparable to hospital-grade equipment. By ensuring affordability and ease of use, the system extends screening capabilities beyond clinical environments, making it suitable for deployment in community healthcare settings. KidneyLifePlus+ addresses key limitations of traditional methods by offering a rapid, cost-effective, and highly accurate diagnostic solution. The platform’s potential to enhance early detection rates could significantly improve clinical outcomes and quality of life for CKD patients. Furthermore, this innovation contributes to global efforts to reduce the burden of CKD by promoting equitable access to diagnostic services, particularly in underserved regions.

本研究觀察海藻酸鈣膜的生成，發展以平面雙面交聯成膜方式，增強膜的韌性及滲透性，擴大海藻酸鈣膜應用性，開發為農業營養抑草膜。為讓海藻酸鈣膜有遮光抑草功能，混加茶渣茶單寧加鐵所生成的黑色素，或將咖啡渣混加入膜中，製成黑色海藻酸鈣膜，來取代普用的黑塑膠膜抑草蓆。除海藻酸鈣膜生成條件外，試驗雙面交聯成膜及雙（多）層膜的製作方式，及其滲透性。結果顯示，以茶單寧黑色素及咖啡渣製成的海藻酸鈣膜都可有效遮光、韌性佳、不易破損，具保濕性。期許後續將甘油加於海藻酸中，再加鈣交聯所生的成膜，具較高的滲透性，可添加肥料及營養劑於膜中，經緩釋放提供植物生長所需，既可抑草又可補充養分讓其生長，營造環境友善耕作的新模式。

在本研究中，希望能由與前車距離、相對速度等數據，設計符合自動跟車功能的系統。能與前車保持固定距離，並追蹤相對速度，在前車煞車或加速時，使後車即時反應。 分別使用軟體模擬及Arduino控制車輛，測試PID控制在各情況的可行性。前車行駛模式包含等速、等加速度等，測試後車的PID組合，以設計出最佳的直線跟車系統。在軟體模擬中，經過變換車道、圓型軌跡、轉向等環境測試，分析出P值在各個情境的作用，及其大小的優劣或限制。利用第二測距感測器，以前車的轉向幅度，控制後車兩輪速度差，使系統具備轉向跟隨的功能。

本研究由骨硬化症(osteosclerosis)個案報告開始，進行基因變異的探查，先針對骨生成主要調控機制WNT pathway上的SOST、LRP5、LRP6基因，進行基因定序與分析。在此3個基因沒有發現異常位點後，轉而以全外顯子組定序(whole exome sequencing)，進行次世代基因定序(next generation sequencing)。結果顯示病患帶有CTNNB1 c.1982G>A (p.Arg661Gln)之異合子(heterozygous)誤義變異(missense mutation)，並證實是CTNNB1基因的原發突變(de novo mutation)，該突變影響後續蛋白質表現，影響了ICAT對WNT/beta-catenin訊息傳遞鏈的抑制，繼而穩定beta-catenin，造成骨質異常增生、並導致全身骨硬化。此案例為全世界第二例、亞洲首例的CTNNB1基因功能增強突變(gain-of-function mutation)的病例報告。

In this project, we created a function integrated onto a Lingao Chassis that allows the robot to use Slam and Gmapping to successfully navigate its way to the most convenient destination for the user, while avoiding any obstacles on the way, improving the default Gmapping errors.