全國中小學科展

2024年

SVMR: Smart Versatile Medication Robot

In 2565 B.E., 泰國's elderly, comprising 18.3% of the population at 12,116,199, faced health challenges, with diabetes, cerebrovascular disease, arthritis, and lung cancer prevalent. Caregiving hurdles arose as many family members worked outside, impacting the care of elderly individuals with these conditions. To address this, the "SVMR Medication Reminder and Care Robot for the Elderly" was developed. Known as the Smart Versatile Medication Robot (SVMR) or "New Robot," it serves as a user-friendly solution for home-based elderly care. Recognizing the adverse effects of missed medication on health, the SVMR system, combining hardware (New Robot) and software (Application), aimed to alleviate caregiving burdens. The New Robot's hardware includes a customizable medication reminder system, a video call system, closed-circuit camera system, doctor's recommendation display system, and an SOS system for emergency assistance. The Application complements this with features like medication schedule setting, video call communication, activity tracking, daily schedule management, and live camera monitoring. During the SVMR prototype trial, one unit was tested, with developers' relatives trying the medication dispensing system. Positive results emerged, showcasing improved medication adherence among the elderly and affording caregivers more time for other responsibilities. Satisfaction levels, as assessed through interviews, were notably high. Elderly feedback suggested the need for additional compartments for different medications and enhanced notification methods, particularly when they were not in proximity to the medication cabinet. In essence, the SVMR system provides a comprehensive solution to the challenges faced by households with elderly members, ensuring better disease management, increased medication adherence, and support for caregivers, all within a concise and user-friendly framework.

Vitas: Digital Therapy Based on a Combination of Binaural Beats and Autonomous Sensory Meridian Response (ASMR) to Reduce Stress in Gen Z Students

Vitas is a combination of binaural beats (BB) with background white noise (ASMR) as accompanying music without reducing the quality of brain stimulation and is able to stimulate the left and right brain while synchronizing brain waves so that it can be used as a media for coping with stress for Gen Z students. To find out the effect Vitas in reducing stress levels, research was conducted on high school students belonging to Gen Z. This research aims to measure the stress index of students belonging to Gen Z, then find the effect of the combination of binaural beats (BB) and ASMR on students'stress levels, and finding the best audio combination to reduce stress levels as a coping mechanism. This research uses a quantitative approach with a quasi-experimental design using a one group pre-test-post-test design scheme. The sample in this study consisted of 105 students who were divided into seven treatment groups to listen to a combination of BB and ASMR with different bandwidths. Stress levels were measured using the DASS 42 stress section questionnaire which has been tested for reliability and validity. The results of the student stress index were 16.26 in the mild stress category. There was a significant difference between the negative group, the alpha + ASMR group and the positive group with a T-Paired test result of less than 0.05. Based on the results of the Post Hoc LSD test, it was found that the combination of binaural beats alpha (12hz) + ASMR was the best combination for reducing stress in students.These findings were developed into a digital therapy application product called "Vitas" as an alternative media for coping with stress for Gen Z.

Development of a nano-filtration membrane using different linear aliphatic amines and linear cross-linkers for purification of expensive and precious organic solvents

Theseparation, purification, and recovery of precious organic solvents is a huge challenge for many industriesincludingpetroleumandpharmaceuticalcompanies,sincethesecompaniesusehugequantities of organic solvents [1-2]. Natural dissolvable nanofiltration(ON)has atremendous potential for supplantingafewenergy-concentratedcrudepurgingtechniques,similartorefiningandextraction[3-4- 5]. The importance of OSN is obvious from the fact that one cubic meter of methanol requires 1750 MJ of energy for distillation since the process of distillation is comprised of heating, evaporation, and condensation while OSN can purify the same volume of methanol by consuming 3 MJ of energy [6-7]. Additionally, OSN is a useful technology since it is simpler to use than conventional purification and separationmethods.Themembrane'sporestructure,whichinfluencesbothitsselectivityandpermeance, hasasignificantimpactonhowwellthemembranesperform[8-9].Ingeneral,thetrade-offbetweenflux andselectivityaffectsthemembrane'sperformance.Asaresult,themembranes'fluxandpermeabilityare affectedbythetailoringandtuningoftheirporestructure.Therefore,designinganefficientnanofiltration membranes with ideal porosity is highly desirable. Interfacial polymerization (IP) is highly versatile as it provides a freedom of selection of various monomersfortargetingaspecificapplicationsuchasnanofiltrationandreverseosmosisThepotentialfor organicsolventnanofiltration(ON)toreplacevariousenergy-intensivetraditionalpurificationtechniques, suchasdistillationandextraction,isenormous.[8-9].Despitethefactthatmanydifferentmonomershave been successfully used by utilizing IP to create thin film composite nanofiltration TFC-NF membranes, one of the main limitations of such membranes continues to be the poor selection of closely related comparable nanometer sized solutes. Many efforts are still being made to develop potential monomers with the perfect properties for creating membranes that operate excellently [10-11]. Another strategy is also getting more popular in which different porous additives are added to the TFC membrane either at thesupportleveloractivelayerlevel.Theseadditivesincludecarbonorganicframeworks(COFs),metal organic frameworks (MOFs), hyper-cross-linked porous polymers (HCPs), and natural polymers such as chitosan[12-13-14-15]. However,maintainingthecrystallinity ofsuch additives,particularlyMOFsthat lead to crystalline membranes, is extremely difficult while other additions suffer from aggregation and agglomeration that results in membrane flaws that impair the performance of the membranes [16]. Therefore,changingthechemistryofthereacting monomerduringIPcansignificantlyalterthestructure of the resultant active layers of the membranes. The current study was carried out by using linear aliphatic amines 4A-3P and 4A on a crosslinked PAN support. The study was carried out through interfacial polymerization between either 4A-3P and TPC or 4A and TPC on crosslinked PAN. In comparison to the previous studies where cyclic amines such as piperazine or aromatic amines such as meta-phenylenediamine (MPD) are used, we have used linear aliphatic amines 4A and 4A-3P crosslinked with organic phase containing terephthaloyl chloride (TPC) asacross-linker.TheIPreactionwascarriedoutbetweenamineandTPConacrosslinkedPANsupport. The fabricated membrane was extensively characterized by using scanning electron microscope (SEM), ATR-FTIR, water contact angle (WCA), energy dispersive X-ray (EDX) and elemental mapping . The fabricated membrane was used for OSN applications by using dead-end filtration setup.

探討一種新穎腺苷調控藥物對於思覺失調症及焦慮症的治療潛力-以藥物及壓力引發之疾病小鼠為模式 Investigating the therapeutic potential of a novel adenosine modulator(NAM) on the treatment of schizophrenia and anxiety disorders using mice as a model

思覺失調症與焦慮症皆是嚴重損害病人健康且造成社會極大負擔的精神疾病,急需研發有效治療藥物。本研究以藥物及壓力引發之小鼠異常行為為模式,探討新研發的新穎腺苷調控藥物(Novel Adenosine Modulator)對於這些疾病的治療潛力。實驗一以藥物 MK-801 引發成年雄性小鼠類思覺失調症症狀,給予新穎腺苷調控藥物可緩解曠野測驗中 MK-801 引發的過度活動量,且不會造成小鼠產生失樂症狀或體重改變。但對於 MK-801 引發的感覺動作門閾過濾反應缺損則無顯著療效。實驗二以不可預測長期輕微壓力(unpredictable chronic mild stress)引發成年雄性小鼠類焦慮症與類憂鬱之行為異常,新穎腺苷調控藥物可以改善小鼠的失樂症狀。這些結果顯示這個新藥具有潛力值得後續繼續研究。

賦權基本面指標型投資模型之建構與績效分析

本研究旨在建立因子選股投資策略之模型。在財報中挑選了五項指標進行討論,並建立三種投資模型:單因子模型,等權重雙因子模型與不等權重雙因子模型。 單因子組合中將各項因子獨立回測後比較,PB 為最佳因子指標。並以市值篩選樣本池後重新回測,得到更優之年化報酬率與風險值。 在雙因子等權重模型中,本研究將 5 項因子指標兩項進行組合,共計 10 項組合,並在優化上針對投資週期更換為季報後一日交易、剔除表現較差的因子 EPS。優化後單因子最佳組合為 ROE,雙因子最佳組合為 ROE+PB。 在雙因子不等權重模型中,以二分逼近法找最佳比重,經過回測後最佳年化報酬率組合為 ROA+PB 並配與權重 2:3,年化報酬率高達 29.76%,為本研究最佳選股模型。

光控生產不同硬度之蛋白質電紡絲生醫材料

隨著大數據與人工智慧的發展,新藥的研發周期大幅縮短,模擬體內微環境的體外細胞培養平台能降低動物試驗成本,滿足快速提供新藥檢測資訊的需求。本實驗開發一種以膠原蛋白衍生物建構的支架型三維細胞培養平台,以貼近體內環境為目標。我們以甲基丙烯酸酐化明膠(Gelatin Methacryloyl, GelMA)的電紡絲奈米級纖維製作支架,藉由不同紫外光照時間,調整支架軟硬度,觀察 NIH3T3 培養於支架上的細胞形態變化。材料拉伸試驗顯示在照光3分鐘(光能量2.88焦耳) 和照光 25 分鐘(光能量 23.96 焦耳)條件下,分別可得到楊氏模量 293kPa 及 1035 kPa,能在硬度上近似人體血管和皮膚。

恆星磁場的觀測與分析計算–主序星磁場的規律

恆星磁場是影響恆星活動的主要因素之一,可藉由光譜上的磁分裂譜線進行量測,近幾年來,由於觀測設備的進步,更高解析力的光譜儀出現,使光譜上的磁分裂譜線更加明顯,更容易對其進行測量。主序星是赫羅圖 (H-Rdiagram) 上最具規律的恆星類型,其各種物理量間大多可以簡單的線性關係表示,因此本研究專注於研究主序帶上各種表面溫度的恆星之磁場大小。本研究透過 Python 計算 Lamost 資料庫中主序星光譜的磁分裂譜線波長差,再透過Phoenix 資料庫庫中的恆星標準光譜與 AtomicspectrallinedatabasefromCD-ROM23ofR. L. Kurucz.找出該分裂譜線是由何種元素造成的,並計算出該分裂譜線的朗德 g 因子 (Landég factor),以此計算出主序帶上表面溫度 3300K~8000K 的恆星之磁場大小。並透過各種次方的多項式對觀測數據的平滑曲線進行擬合,以及結合現有的恆星標準模型,找出最能描述恆星磁場大小與表面溫度之關係的多項式。

運用LSTM深度學習技術調整PID控制於倒單擺應用之探討

本研究以深度學習 RNN(Recurrent Neural Network)演算法中的 LSTM(Long Short Term memory)改善 PID,利用其時間序列的保留資料方法,預測 PID 參數值,使控制器得以精確且快速的調整非線性系統。此研究從 peak amplitude 及transient time,以及倒單擺振幅的圖表收斂情形等層面去做探討。當單擺質量大於下方 pendulum cart 的質量時,傳統的 PID 控制方法無法精準的調整系統,而LSTM 深度學習模型能夠產生較佳且較顯著的效果。且KP 數值在倒單擺系統中, 小於 1 無法收斂,KP 數值越小時,圖形越趨發散。此訓練之 LSTM 深度學習模型可以應用於非線性系統中,以增加其穩定性,並能夠更快速的為系統找到適合 的 PID 參數值。

Metformin對肝臟細胞選擇性粒線體自噬作用之活化機制探討

二甲雙胍(metformin)為第二型糖尿病的口服藥。現有研究已知粒線體在肝癌組織中有過度表現的情形,且二甲雙胍與粒線體自噬作用相關然其機制尚未清楚,故本研究探討二甲雙胍對於肝臟細胞粒線體自噬作用的活化機制以了解其是否具肝癌治療的潛力。以西方墨點法測試加入二甲雙胍前後人類肝癌細胞(Huh7)的 LC3B-I、LC3B-II的表現,發現加藥後表現上升。以串聯螢光標記實驗,透過螢光顯微鏡觀察加藥前後粒線體的型態從線狀變為橄欖球狀,LC3表現上升,PARKIN有明顯位移至粒線體外膜的情形,顯示二甲雙胍可刺激自噬體的形成。並透過 mito-QC(mito-quality control)的技術,可觀察到加藥後粒線體與溶酶體結合的情形也有所提升。本研究推論二甲雙胍可活化人類肝癌細胞中 PINK1-PARKIN 依賴型選擇性粒線體自噬作用的形成,未來有望應用於肝臟疾病相關治療。

青出於藍,勝於藍

本實驗利用不同的還原劑,分別為檸檬酸鈉、蘋果酸鈉及酒石酸鉀鈉與氯化鐵及赤血鹽反應時,利用日光燈及LED燈即可驅動藍晒反應進行,不需像傳統的藍晒反應需照紫外光才可使反應進行,達到安全、便宜且不受天氣限制的實驗改良。在改變不同還原劑種類,及還原劑與氯化鐵比例時,發現還原劑、氯化鐵和赤血鹽混合的順序、有無加熱、及照光的燈源種類會影響藍晒圖、反應速率及吸收度大小。