市售動力沙和史萊姆流動沙這類玩具很療癒，我們十分好奇，想以身邊隨手可得的材料製作，透過觀察與動手實作，歸納出動力沙配方：白色沙畫沙、矽膠、玉米澱粉以10:2:1.5比例調出加入顏料，成品特色能壓模、混色及有若即若離感。白膠史萊姆流動沙配方：以140ml溫水與3g硼砂調成硼砂水，用15ml白膠浸泡於70ml硼砂水中製成史萊姆，加入40ml石英砂。膠水史萊姆流動沙配方：調出相同比例硼砂水，用20ml膠水和20ml硼砂水做成史萊姆，加入45ml石英砂。最後添加壓克力顏料、液體食用色素或色粉調出色彩迷人、流動感佳、能混色、塑形、壓模、60g白膠與膠水史萊姆流動沙分別延展 52.5cm與71.7cm，可比擬市售史萊姆流動沙視覺美感。實驗成本低、易操作，動手做玩具的過程非常有成就感！

生活中小蘇打與檸檬酸都是很棒的清潔利器 , 各種發泡錠更是利用酸鹼中和的特性所製造出的物品，許多人用此性質自製屬於自己的各式發泡錠。我們從二氧化碳產生量、溶解、硬度、清潔、防黴的角度思考。經研究發現，五種比例清潔錠中小蘇打和檸檬酸的配製比例，以2:1製作最好，它在清潔、防黴都有較好效果。想要增加硬度，可以添加玉米粉。想要強化防黴效果，可以再添加薑黃。想省錢，可以用鹽代替薑黃製作清潔錠。

本研究利用乙二醇處理後的聚對苯二甲酸(PET)及氯氧化鋯，以創新的無溶劑方式”solvent-free PET-to-MOF conversion”合成一類金屬有機框架材料(MOF) ── UiO-66(Zr)，並發現此材料可用於催化Pechmann condensation、以間苯二酚和乙醯乙酸乙脂合成羥甲香豆素。於190℃之環境下，乙二醇處理6小時的EG-PET可合成出晶型最接近模擬模型的UiO-66晶體；而我們開發的合成方法中，最佳的反應條件為反應物質量比(氯氧化鋯:PET)= 2:1、130℃合成24小時。 對於合成出的UiO-66(Zr)，我將其進行了XRD、FTIR、BET、SEM檢測，結果符合UiO-66(Zr)的特徵；唯比表面積僅有約900 平方公尺/克，推測此方法合成出的材料之有機linker數量和一般UiO-66(Zr)有所差異。 對於催化合成羥甲香豆素之反應，我們首先發現UiO-66(Zr)可作為非勻相催化劑參與此反應；且實驗結果顯示，相較於溶劑熱合成的UiO-66(Zr)，以本研究的方法所得之UiO-66(Zr)作為催化劑可得到更高產率的羥甲香豆素。

本研究運用綠藻、螺旋藻、卡拉膠（k,i,λ）進行製備碳點並應用高效超級電容。本實驗已完成綠藻、螺旋藻、卡拉膠（ k,i,λ）在不同的pH值中的溶解度測試，並找出綠藻、螺旋藻、卡拉膠（k,i,λ）各自適合溶解的溫度及溶液。此外，中途也已透過文獻中的實驗證實我們實驗中所運用的電化學實驗設計及裝置可以成功製備出碳點。而在電化學製備碳點的部分目前完成單獨藻類、藻類加histidne的電擊實驗以及測其吸收光譜，也運用先前製備出較穩定的碳點加入MXene進行電化學分析，透過碳點擴大MXene分層，以達到增加MXene電化學效能的效果。最後，預計之後將進行更多的電化學分析，進一步地確認碳點結合MXene能在超級電容的應用。

1. Research Motivation Have you ever seen news stating that spring is gradually disappearing from the Korean Peninsula? The characteristics of the four seasons are disappearing due to the impact of global warming. As supporting evidence, droughts and heatwaves continue during the rainy season, and unexpected heavy rainfall occurs during autumn. These abnormal temperature phenomena are greatly affecting agriculture. Crops wither due to untimely cold spells or summer droughts, and the proliferation of bacteria and pests worsens. We need to conduct a thorough investigation and response to such weather phenomena. Carbon is known to be the main culprit behind these abnormal temperature phenomena. We want to explore how carbon affects climate change and understand the implications it has. 2. Research Objectives The consequences of climate change, such as deforestation and rising sea levels, will cause significant damage to society as a whole. This will also have a profound impact on the survival of all living organisms on Earth. Unless industrialization is halted, global warming will continue, making it crucial to gain a proper understanding and find accurate alternatives. The damages caused by global warming are expanding the habitats of mosquitoes, which is expected to have an impact on the spread of mosquito-borne diseases. This can also influence the emergence of novel viruses similar to COVID-19. By examining past outbreaks of diseases transmitted by mosquitoes, we aim to predict and understand such occurrences, as well as explore ways to minimize global warming. 3. Expected Benefits Based on this research, a focused exploration of the ecological impacts of global warming can provide essential data to understand the effects of climate anomalies on us and prepare for them. As these phenomena are expected to worsen over time, it will be possible to develop measures to minimize the damage caused by bacterial infections and agricultural losses.

Our vision aims to raise the quality of life and we had planned smart cities from scratch but what about the current cities the residents of Riyadh suffer from extreme traffic and spend hours circling the block searching for a open park which wastes time money and is bad for the environment. 30-50% of traffic is causing by not being able to park and due to Riyadh lack of proper city planning and radid increase in inhabitants especially after allowing women to drive and as the car being the main way of transportation finding a open park could be a nightmare for some. We have approached this problem from the technological perspective by developing a free application for Riyadhs inhabitants that's main goal is to navigate each driver from their current location to the best open park possible in the shortest time possible but what dirstinguishes us from similar apps in the literature is that we provide the time of departure for each park as well as the ability to book suck parks even if it is ahead of time via a interactive live map. The technology's that we used are the cellar censor that will track the users location and the ultrasonic sensor to track the occupancy of the parking in case the driver doesn't have the app but in which case will case will not be able to provide booking features. We have struggled in the lack of expertise and experience and in motivating the drivers to input correct data about there time of departure we also didn't have enough time to validate our project For future work we will validate our project and we plan on making the detection of the time of departure automatic as well as vobering all kinds of parks. We plan on expanding the scope of target users to include institutes as well because with time the app will have collected enough data to help institutions provide better parking such as ruch hours parking scope percentage of booked parking etc we also plan on benefiting more from the cellular secsor to link data with the persons phone like certain access to private parks like disabled parking or home parking or private hotel offices parking etc

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.

Previous research observed increased TNTs formation between hypoxic and normoxic neuroblastoma cells, aiding hypoxic cell survival. CHGA was identified as a potential factor in this process. This study compared CHGA expression and whether CHGA exists in TNTs in five cell lines, with SH-SY5Y showing the highest levels, followed by SK-N-BE(2)C, while the other three showed lower expression. Future studies will focus on the impact of CHGA on cell survival and its mechanisms.

超音波已廣泛用於奈米粒子的製備，然可聽聞音對奈米粒子製備的影響卻少有研究。本研究以簡易喇叭裝置產生可聽聞音並在溶液表面產生法拉第波及內部流動，來輔助製備奈米鎳。法拉第波是一種表面非線性駐波，透過調整容器形狀、振動頻率等，可產生不同波形。本研究嘗試在法拉第波輔助下，以化學還原法及電沉積法製備出不同性質的奈米粒子。SEM量測並比較無輔助、法拉第波輔助、超音波輔助製備出的奈米鎳的形貌、分布的差異。並將其應用於有機物(即剛果紅、亞甲藍、4-硝基苯酚、2-硝基苯酚)之催化還原。而由SEM量測、催化還原結果及理論模擬反應熱可知，法拉第波確實能夠改善奈米鎳的粒徑大小、分散性、對氫的吸附能力及催化還原能力。

這是一份將近持續四年的研究，而這一年佩爾質數的出現，讓我們的討論「突飛猛進」。 佩爾方程式是形如𝑥2−𝑚𝑦2=1的方程式，其中𝑘不為完全平方數之正整數。我們定義廣義佩爾方程式是形如𝑥2−𝑚𝑦2=𝑛 的方程式。在過去的研究中，我們主要從𝑥2−𝑘𝑦2=𝑝 (𝑘,𝑝 皆為互質的奇質數) 的正整數解開始研究，接著延伸到 𝑥2−𝑘𝑦2=2𝑚𝑝1𝑛1𝑝2𝑛2⋯𝑝𝑗𝑛𝑗，進而得到了解的唯一分解性質。而本次的研究，延續之前的工作，對佩爾質數展開了討論。利用蜈蚣彘，我們成功地發現了一些佩爾質數，猜測出一些可能的結果並證明；同時我們對佩爾質數的生成結構做了相當程度的了解。作為結束，設法利用分析的方法解決的之前的問題，以及對方程式的不可約解，是否存在較低次方根解，給出了必要條件。

Most people in the country tend to consume soda as part of their daily lives, without thinking about the health consequences that this entails. And the fact is that 墨西哥 is considered the main consumer of soda in the world (Universidad Nacional Autónoma de México [UNAM], 2019), and not only that, it also tops the lists of obesity and diabetes (Procuraduría Federal del Consumidor [PROFECO], 2018). A bad diet is one of the main causes of these medical conditions, so it is necessary to rethink the foods of daily consumption. In this project, the development of a carbonated beverage with three main ingredients: purple corn, hibiscus, and pineapple, which contain diverse nutritional properties in addition to having significant amounts of antioxidants (Secretaría de Cultura,2020; Sumaya et al., 2014; Kongsuwan et al., 2009), is established as an objective. In addition, antioxidants act as regulators of cellular aging and prevent chronic diseases (Vilaplana, 2007). For this reason, the elaboration of a beverage with these characteristics is considered harmless and a good option for people with a chronic disease or who are prone to it, as well as a healthy alternative to the consumption of soft drinks. In this project, an experimental methodology was followed to prepare the nutritional beverage, which had nutritional properties, such as vitamin and antioxidant content, in addition to having a pleasant taste and texture.

發展安全且可靠的身份辨識技術是當今的重要議題，而指靜脈因其高安全性及難以偽造特性成為我們的主題。本研究提出一種基於Transformer模型架構的指靜脈辨識模型稱為GLA-FD，旨在解決現有技術對指靜脈影像特徵表示與提取的局限性。透過開發特徵解耦與重建模組(FDRM)，模型能夠有效區分指靜脈的背景資訊與紋理特徵，並將其重新組合以提升辨識準確度。此外，本研究開發的全域-局部注意力模組(GLAM)能同時捕捉影像的全域與局部特徵，進一步強化模型對指靜脈特徵的理解。GLA-FD在FV-USM、PLUSVein-FV3、MMCBNU-6000、UTFVP、NUPT-FPV 資料集中的正確辨識率(CIR)達到100%、98.47%、99.75%、96.11%、99.82%，展現卓越的穩定性與泛化能力。此外，本模型在處理不同年齡層、國籍與影像模糊度的資料下，仍能保持高辨識準確度，顯示其在需要高安全性辨識的應用場景中具備廣泛的實用性。