大生熊蟲屬 (Macrobiotus)對環境壓力較敏感，其在面對環境壓力 (strss)會進入隱生具有作為重複使用模式生物潛能，以減少模式生物倫理問題。本研究以二叉檢索表和支序分類學鑑定南勢角山水熊蟲分布，以利收集實驗動物。並評估水熊蟲短期暴露（20分鐘）於不同壓力下半數隱生時間、半數恢復時間與半數隱生濃度，發現水熊蟲在鹽類壓力下半數隱生濃度為0.64%氯化鈉及1126 mg/L硝酸鹽氮；在1~4 ppm銅離子存活率分別為87、76、60以及0%，半數隱生酸鹼值為pH 5.08，而其在20000 ppm二氧化硫壓力無法存活。重複試驗水熊蟲在氯化鈉與硝酸鹽氮壓力下的形態、半數隱生時間及存活率無顯著差異，故推測水熊蟲具高潛能發展為重複使用模式生物，未來將探討其在長期暴露下的耐受度並評估其重複使用性。

Inhibitory effects of the secondary metabolite of actinomycete were examined on cell cycle of the yeasts of S. pombe and S. cerevisiae. The secondary metabolite was obtained from cultivation of the actinomycete isolated from the soil of Owakudani in Hakone, Japan. The fifth fraction of the secondary metabolite by ODS column separation (HK-T5), which was soluble to pure methanol, was used in the present experiments. The HK-T5 brought about the delay of forming colonies of S. pombe for about 11 days compared to that cultivated without the HK-T5. The delay of the colony formation was longer for the S. pombe cultivated with more amount of the HK-T5. The cultivation with HK-T5 also brought about the extension of the lifespan of the S. pombe for more than 10 weeks in a liquidus medium. The cell life recovered the ordinary manner by removal of the HK-T5, meaning that the activities of the HK-T5 is reversible. These facts confirm the suppression of cell cycle, and the delay of cell growth by the HK-T5. These phenomena were similarly observed for S. cerevisiae. Comparison of the action of HK-T5 with hydroxyurea, which is an anticancer drug inhibiting the cell cycle at S phase, clarified that the inhibitory action of HK-T5 worked at the phase earlier than S phase. The combined effects of HK-T5 on the cell cycle were evaluated with triamcinolone acetonide (TA), or aspirin, the former of which is a drug synchronizing cancer cells in S phase, and the latter keeping human cells in G1/G0 phases. The combined use of HK-T5 with TA synchronized the cells at the phase slightly proceeding from G1 to S phase without toxicity. On the other hand, the combined use with aspirin made the inhibitory effect of HK-T5 inactive. Hence, the HK-T5 is attractive as a drug for the extension of cell lifespan, and anticancer therapy.

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.

Microplastics are tiny invisible plastic pieces that are piling up in the marine environment emerging as one of the many environmental issues which our planet is facing today. Researches for the removal of these particles are important because studies that have been made so far haven't come up with an effective solution. This project aimed to detect microplastics and remove them from aqueous environments with an effective and practical method then it was aimed to determine the removal amount of microplastics by optical measurements with the developed system. Firstly, the magnetic carbonanotubes (m-CNT) which is intended to hold onto the surfaces of microplastics was synthesized and added to the mixture of microplastics. Then the magnet within a glass tube was passed through the mixture and the sample was cleared of microplastics. A spectrometer was made to monitor this process and after its calibration, it was used to measure coffees with different concentrations. It has been shown that their concentrations can be determined by calculating the transmission values and Rayleigh scattering. In the end, it has shown that there are no micro or nano-sized plastic particles when removed with M-CNT, within the accountable range of the spectrometer that had been made. Hence the removal of the microplastics: an invisible threat for the environment has been studied by combining nanomaterials with unique surface properties in the removal process and an optical principle such as Rayleigh scattering, a new technique has been developed that can measure quickly, economically,

本研究起因是在生活中出現五斗櫃翻覆的新聞提到重心問題，便透過文獻探討整理相關研究，發現重心與各領域均有關係，於是我們決定進行五斗櫃的探究，發現以下結果： 一、重心位置與櫃體深度有極大相關，當重心移出櫃體時有增加翻覆的危機，其中受拉力面越長越容易傾覆。 二、支撐腳與五斗櫃傾覆亦有極大相關，支撐腳高度、粗細、數量、形狀設計均影響五斗櫃的穩固性，當腳柱越短、與地面接觸面越大、數量越多可以增加更多拉力。 三、當櫃體底面積增加能有效降低五斗櫃傾倒的現象。 本研究更進一步改良五斗櫃的設計，使重心配置可以隨著層櫃的拖拉而降低，讓櫃體不至翻覆，期望對改善生活有更多的貢獻。

圖的著色問題為現代數學的一門學問，而列表著色為一般著色問題的推廣，許多研究皆致力在探討各式的充分條件，使得圖可以完成列表著色。在數學歸納法的證明過程中，經常需要利用『可約構形』的概念來化簡圖形，進而確保能完成圖的列表著色。若圖在邊上具有方向性，則稱此圖為有向圖。我們的研究是利用圖在邊上的定向關係，創造一個多變數的多項式，在代數式上運用鴿籠原理，藉著尋求多項式函數值為非零值的可能，證明列表著色方法的存在性，並能有程序性的設計一系列在列表著色中的可約構形與演算法。

Introduction: Using advanced technologies such as nanotechnology in the food and fishery industry, as one of the most important industrial sectors of countries, has received too much attention. Traditionally, fishing and hunting have been considered important sources of supplying food. The subject and methodology: The study aims to investigate nanotechnology for detecting fish hatching time. This is a review article that collects the information from databases such as Sid, civilica, and Google Scholar. In the end, 22 papers were studied for extracting and collecting the required information from the abovementioned scientific database. Finding: After examining the food, drug, and agricultural-related papers published from 2009 to 2020, it was concluded that small Nano-sensors, controlling & monitoring systems made from nanotechnology can be installed on fishing nets, fishing rods, and other fishing equipment. These devices (Nano-sensors and controlling & monitoring systems) will help fishes so that they don’t get caught. In this way, as a fish gets close to the fishing equipment, it will receive sound, smell, or heat-based alarm. Therefore, the fish will stay away from the fishing equipment. The result: according to the finding of this study, it can be concluded that excessive fishing in the hatching time will be avoided by the application of nanotechnology in the fishing equipment. As a result, the following advantages will be secured: 1- There are lots of opportunists who misuse fish during the hatching time. With the application of nanotechnology, they will be stopped. 2- Opportunists are ambushing in different time points to misuse fish. Also, the guards might be ignorant. With the application of nanotechnology, guards are no longer required. 3- This plant is cost-effective too.

本研究探討黃胸錐腹蜾蠃(Delta pyriforme)交尾、做巢、產卵、育幼等生殖行為。結果一雌雄壺蜂平均性成熟為77±10.8、63.7±5.7小時，交尾結合只有11秒。結果二壺蜂用大顎與前足以0.8×10-3m/s速度拍打泥球，讓巢固定成形，結蜂繭後巢硬度達4269gw。結果三受微風影響卵搖9.3次/s，此時卵柄的張力對卵做出164.3nkg.m/s衝量值，當衝量越大、卵搖晃時間越長、停下時間要越久。結果四壺蜂會依不同體型獵物，施予不同的力搬運回巢，被麻痺獵物血液流速為1.64~1.13cm/s，氣孔被打開494%，以延長獵物壽命，有助於壺蜂幼蟲攝食，達到育幼後代的目的。

QR Code是由黑白模組組成的二維數位條碼，掃描後可讀取儲存的訊息。受限於設計原理，QR Code使用二進位制儲存資料。增加模組數目可增加資料量，但若在條碼內塞進太多模組時，尺寸太小的模組將無法被掃描器讀取。此外，目前QR Code掃描器僅支援單張掃描，並無法應付同時多張條碼掃描的實務需求。 如能克服顏色辨識，理論上彩色二維條碼將能克服現行QR Code的限制，但市面上並無相關產品可供測試。因此本專題設計了一款10×10、具8顏色的"Colour Matrix"，並利用Raspberry Pi開發Colour Matrix在手持裝置上運作的軟硬體來進行實驗。此實驗成功利用機器學習演算法在Raspberry Pi上進行的顏色辨識。開發的程式在單張掃描上效能與使用pyzbar辨識QR Code相當；在多張掃描方面，使用pyzbar辨識QR Code的解碼成功率為3.1%，而本專題的方法將成功率提升至92.4%，擴增數位條碼的使用範圍，具商用價值。