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AI-Based Customer Sentiments Dashboard
In this fast-paced digital economy, customers' judgment is based on their experience with a company’s products and services. Customer reviews become a vital source of information for companies because this information can be used to enhance their products, understand customer wants and needs, improve brand reputation, and provide a competitor’s advantage. A company can understand customer needs and wants by going through reviews. Customers are encouraged to leave not only their opinion but also their ideas for the development of the product or service. By understanding these reviews, a company can actively respond and engage with a reviewer or problem. Failure of companies who don't answer customer queries may negatively impact customer loyalty. Customers will feel neglected by these companies and will choose competing companies to handle their needs. Additionally, customers may speak negatively about a company that does not respond to reviews. The AI-based customer sentiment dashboard can help gain a company's competitive advantage by identifying weaknesses in themselves and others. Companies will be enabled to understand where they succeed and where improvement is needed compared to their competitors, leveraging businesses to address strengths and weaknesses before competitors do. Through AI-based customer sentiment dashboards, a company can analyze its competitor’s reviews and use that information as leverage to make improvements to its products and services. Customers are increasingly leaving reviews on popular apps like Google Play, Stamped.io, Yapto, and Judge.me, Loox, Qualaroo, and Yelp. The reviews are rich in customer sentiments offering valuable insights into user satisfaction and pointing out the areas for improvement that are crucial to every company no matter how big or small. Despite their value, manually processing these reviews is a challenging task due to the large volume of unstructured data. Manual processing is also vulnerable to bias and human error, leading to inaccurate information. Traditional methods such as surveys have been proven to be ineffective if the main focus is targeted feedback and have low responses compared to reviews. The advances in artificial intelligence like Natural Language Processing (NLP) help us interpret and analyze human language and generate outputs like predicting what type of sentiments are in reviews. This project proposes developing an AI-based sentiment analysis model to evaluate customer feedback on two widely used taxi applications. Natural Language Processing libraries, such as the Valence Aware Dictionary and Sentiment Reasoner (. The model aims to categorize customer reviews into positive, negative, and neutral sentiments.
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Evaluating the Impact of the AI-Powered Interactive Journal “I Am Great Because of Me” on Reducing Impostor Syndrome Among High Performing Students
Impostor Syndrome, a psychological phenomenon where individuals doubt their abilities despite evident achievements, can hinder personal and academic development. This study aims to evaluate the effectiveness of the interactive journal “I am Great Because of Me”, integrated with artificial intelligence (AI), in addressing Impostor Syndrome among high-performing students. The journal features innovative tools such as the Clance Impostor Phenomenon Scale (CIPS) test accessible via QR code, self-acknowledgement pages, and virtual consultations powered by AI chatbots. These elements aim to support self-reflection, provide real-time diagnostics, and deliver actionable recommendations for users. The ADDIE model was employed for the journal's development, incorporating feedback from experts and users. Likert scales and Cohen’s D analysis were used to evaluate satisfaction, usability, and impact. Results showed that 90.1% of students expressed high satisfaction with the journal’s accessibility, interactivity, and capacity to enhance self-awareness and motivation. A pre-test and post-test conducted on the intervention group revealed a significant reduction in Impostor Syndrome by 42.5%, with an effect size of 2.84, categorized as "very large." Features such as the self-acknowledgement worksheets helped students recognize their strengths, while AI consultations offered additional psychological support. Expert validation emphasized the journal’s clarity, relevance, and objectivity, noting the absence of bias in AI-driven suggestions. The journal was praised for its accurate content, ease of use, interactivity, and the protection of user data, ensuring a safe and private environment for self-development. Students found the journal beneficial not only for addressing Impostor Syndrome but also for fostering personal growth and self-confidence. This research demonstrates the potential of combining psychological theories with AI-driven tools in education. The journal “I am Great Because of Me” effectively aids students in overcoming Impostor Syndrome and improving self-perception. It serves as a scalable solution for schools and individuals aiming to tackle similar psychological challenges. Future studies are encouraged to explore its application in broader contexts to maximize its impact.
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Production of Nano-Composite Artificial Bone Tissue Using Bioceramic Synthesis from Bio-Waste
Certain specially structured ceramics, which can be used as biomaterials to replace bone, have recently started being utilized in the medical field. The aim of this study is to produce high-bioactivity silica from corn cob waste, a widely available organic material in nature, and combine it with calcium oxide (CaO) obtained by grinding organic mussel shell waste with high bioactivity. This combination is intended to synthesize dicalcium silicate (2CaO.SiO₂) to develop an alternative tissue scaffold with high bioactivity, capable of replacing bone, for existing titanium alloys. The goal is to incorporate this scaffold into PEEK (polyether ether ketone), a novel tissue scaffold material, at varying percentages to create a next-generation innovative bone substitute material. An additional objective is to demonstrate through biocompatibility tests that the produced ceramic-polymer biocomposite exhibits antibacterial activity against Staphylococcus aureus.
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Measuring the large nonlinear refractive index of pigment from avocado leaves by a laser pointer
本研究報告,從酪梨葉利用柱層分析技術萃取出葉綠素-a、葉綠素-b以及類胡蘿蔔素,用來研究其物理性質以及測量非線性折射率(n2)。 當雷射光束照射在置於比色管中的樣本時,中央軸上的強度最高,導致溶液產生了溫度梯度和折射率梯度。雷射光束穿過溶液後,在屏幕上產生了遠場繞射圖樣。這些繞射圖樣的最大半徑(Rm)和暗條紋的數目(N)隨雷射光的功率(P)、光徑長度 (𝓵)、溶液的熱吸收係數(μ)和溶劑的熱光係數(dn/dT)變化。從N對𝓵和N對P的關係圖中,可以計算出溶液的n2。 在本研究中,從酪梨葉中萃取的色素濃度分別是從菠菜和朱槿葉中萃取色素濃度的4.0倍和3.1倍。更令人驚訝的是測得的n₂ 值比石墨烯大100倍。結果顯示,該樣品具有顯著的非線性折射率,使其成為各種光學開關應用的理想材料。
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Synthesis of fluconazole analogues with focusing on resistant strains Candida
Fungal infections, particularly those caused by resistant strains like Candida auris and Candida glabrata, pose a significant threat to global health. The widespread use of azole antifungals, such as fluconazole, has driven the emergence of multidrug-resistant strains, undermining the efficacy of existing treatments. These challenges necessitate the development of novel antifungal agents with enhanced activity and reduced resistance profiles. To address resistance mechanisms, we designed and synthesized hybrid molecules combining triazole and thiazolidine-2,4-dione (TZD) pharmacophores. This strategy leverages dual mechanisms of action: inhibiting fungal CYP51, a key enzyme in ergosterol biosynthesis, and disrupting fungal cell wall integrity. The structural versatility of hybrid molecules allows for targeted modifications to enhance antifungal potency, binding specificity, and pharmacokinetics. Using a stepwise synthetic approach, triazole-containing piperazine derivatives were first prepared and coupled with TZD-based carboxylic acids via optimized condensation reactions. The structures of the synthesized compounds were confirmed through advanced spectroscopic methods, including 1D/2D NMR and high-resolution mass spectrometry. The antifungal activity of these hybrids was evaluated in vitro against clinical and reference strains of Candida spp. and Aspergillus fumigatus. Among the synthesized compounds, 6a demonstrated notable activity against Candida parapsilosis (MIC 0.06 μg/mL), comparable to voriconazole. Compound 4b exhibited moderate activity against C. parapsilosis (MIC 1–2 μg/mL) and A. fumigatus (MIC 8 μg/mL). However, most compounds showed limited efficacy against highly resistant strains such as C. albicans 8R and C. krusei. This study highlights the potential of hybrid triazole-TZD molecules in overcoming resistance and improving antifungal efficacy. While promising, further optimization is required to broaden the spectrum of activity and enhance efficacy against multidrug-resistant pathogens. These findings contribute to the growing field of antifungal drug development, emphasizing hybrid approaches as a viable solution for combating fungal resistance.
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Plantastic Pods: The Grow Stick Rooting Revolution for Seeds & Cuttings
Cultivating plants from seeds or cuttings is a fundamental aspect of gardening and agriculture. While traditional methods have been practiced for centuries, there is a persistent need for innovative and efficient approaches to enhance plant growth and development. This section explores the challenges associated with traditional propagation methods and examines potential solutions offered by emerging technologies and materials. Plant propagation is necessary to allow efficient multiplication and distribution of desirable plant varieties (Sorensen & Garland, 2024). Plant propagation is the process of creating new plants. There are two primary methods of propagation: sexual and asexual. .Sexual propagation involves the union of pollen and egg, drawing genetic material from two parent plants to create a new, genetically diverse offspring. This process utilizes the floral parts of a plant. .Asexual propagation, on the other hand, involves taking a part of a single parent plant and inducing it to regenerate into a new plant. The resulting offspring is genetically identical to its parent. This method utilises the vegetative parts of a plant, such as stems, roots, or leaves. One emerging technology that has garnered attention in this field is the use of cocopeat, a sustainable growing medium derived from coconut husks (Pane et al. 2021). Cocopeat has been extensively studied as a potential alternative to peat moss in plant propagation (Gericke, 1940). It offers a favourable balance between air porosity and water holding capacity, promoting root development and nutrient uptake (Kalaivani and Jawaharlal, 2019). Furthermore, cocopeat is a renewable and environmentally-friendly resource, making it an attractive option for sustainable seedling cultivation. Research has shown that the use of cocopeat as a growing medium can enhance the growth of both vegetables and various ornamental plants, such as Impatiens. The biostimulant effect of the Trichoderma atroviride fungus, which can readily colonize coir, has been observed to increase aboveground biomass, flower production, pigments, and nutrient concentration in these plants (Traversari et al., 2024).
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開發腸道菌外膜蛋白質純化方法及以AlphaFold 軟體對應合適製程
Developing purification methods for outer membrane proteins of gut bacteria and matching the optimal purification process by using AlphaFold.
可再現醫療效益之腸道益生菌關鍵分子是重要蛋白質,蛋白質純化極重要但傳統方法費時耗力,導致發展腸道益生菌保健食品的成本很高。本研究取用助於改善糖尿病和血脂異常的腸道益生菌 Akkermansia muciniphila 外膜蛋白Amuc_1100為樣品,先以傳統方法開發純化製程,利用親和性層析和離子交換層析找出純化臺灣本土菌株isolate 02和國際標準菌株BAA-835之條件及其差異,確認純化蛋白質可維持3日穩定。本研究進行AlphaFold 電腦模型預測蛋白質結構並進行蛋白質序列分析,發現蛋白質本身結構和電性不同才導致isolate 02和BAA-835純化製程條件有所差異。本研究提供全新展望,透過人工智慧將蛋白質結構對應到合適製程,大幅減少研發純化條件的時程,完善蛋白質純化方法學,並得到可量產且品質穩定的純化蛋白質。未來將選用其他臺灣本土 Amuc_1100樣品以擴大驗證及建立蛋白質結構與純化製程資料庫。
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Wrong seating around the table
本研究探討在一場圓桌會議中,n人逐一亂序入場找尋各自對應的名牌編號(1~n號)入座,其中1號第一個入場並坐到了k號位,此後入場的人們若發現與自己編號相同的位置是空的,就直接入座;若與自己編號相同的位置被占走了,就以逆時針方向尋找空位入座。在上述的規則下,若共有n 人,且 1 號坐到 k號位的情況,給予與問題相關統計量的組合證明。後續本研究將規則改為1 ~ p號 按照順序進場且皆想坐到 k 號位的前提下,探討了坐錯的人們是怎麼樣的循環和坐錯人數的次數分佈。並多數的研究結果皆與 stirling numbers of the first kind 有相關。 本研究還 探討了共有 n 人,且 1 號坐到 k號位的情況下, 坐錯人數的標準差函數的遞增情況 與對數函數完全曲線相關。
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橡實代謝物與飛鼠小腸內生菌共發酵產物之應用
This study primarily investigates the components of food residues in the stomach of flying squirrels and the metabolism of the intestinal bacteria Floricoccus tropicus. Using nuclear magnetic resonance (NMR) hydrogen spectrum analysis, the signals of long-chain fatty acids were detected in both n-hexane and 75% ethanol extracts of flying squirrel gastric residues and acorns, suggesting that acorns may be a primary food source for the flying squirrels. The study also identified Floricoccus tropicus, one of the lactic acid bacteria, from the intestines of flying squirrels and discovered its role in the metabolism of fatty acids in acorns. Results showed that polyunsaturated fatty acids significantly decreased during fermentation, indicating that they were converted into short-chain fatty acids with anti-inflammatory properties. In the antibacterial activity experiments, the acorn grease showed no inhibitory effects before fermentation, but after fermentation, the acorn grease exhibited inhibitory effects against E. coli. Furthermore, in anti-inflammatory tests, fermented acorn grease samples significantly suppressed the production of NO and TNF-α in LPSinduced RAW 264.7 cells, with greater inhibition at higher concentrations. In conclusion, the lactic acid bacteria Floricoccus tropicus was found to metabolize fatty acids of acorns into compounds with antibacterial and anti-inflammatory effects.
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自然界中,植物以NO₃⁻和NH4+作為主要氮源,在吸收後轉化為麩胺酸(Glu)和麩醯胺酸(Gln)作為第一產物進行基本生理反應,在我們實驗室先前的研究中,發現Gln會誘導阿拉伯芥側根生長、壓力反應和抗病性,所以提出了一種假說「細胞外的Gln是營養氮源,也是一種“危險訊號”」,藉由可能存在的Gln的受體表現。目前我進行了其中三組受體的測試,分別是wall-associated kinase2(WAK2)、wall-associated kinase3(WAK3)和EF-Tu受體(EFR),WAK家族是穩定細胞壁果膠的受體激酶,然而我們實驗中發現WAK3在wak3 muntant的表現是不穩定的。EFR為接收EF-Tu(elongation factor thermal unstable)的模式辨識受體(PRR),參與活化植物防禦及PAMP-triggered immunity (PTI),efr muntant在Gln的誘導下表現了防禦相關基因與水楊酸生成之相關基因。本研究將有助於深入理解Gln在植物防禦和側根生長中的功能及其調控機制,並為未來的作物改良和病害防治提供理論基礎。
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Reviving Resources: Harnessing Soap Nut Greywater for Sustainable Plant Growth
Due to widespread water shortages, there is an increasing need for innovative water conservation strategies, such as reusing greywater from laundry. The World Health Organization (WHO) recognizes greywater as suitable for plant irrigation, but commercial laundry detergents contain synthetic chemicals that can harm both the environment and plant health. Soap nuts, derived from the Sapindus mukorossi tree, offer a natural alternative. Their pericarp is rich in triterpenoid saponins, amphiphilic compounds, composed of hydrophilic sugar group and hydrophobic triterpenoid sapogenins. These saponins mimic the chemical structure of surfactants in detergents, allowing soap nuts to act as natural foaming and surface-active agents in water. As a result, soap nuts have long been used as a sustainable option for shampoo and laundry detergent in many Asian countries (Sochacki & Vogt, 2022). Greywater, an often overlooked resource, is generated from household activities like laundry, showers, and basins. Unlike blackwater, it contains lower levels of pathogens and bacteria. However, due to a lack of awareness, greywater is frequently mixed with blackwater and directed to the same sewage treatment systems (Greywater Systems: From Recycling to Filtration, n.d.). Greywater accounts for 50-80% of a household’s daily wastewater (Wong, 2011). Repurposing greywater offers a promising and sustainable solution to address water conservation challenges.
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Synthesis of Nanocomposite Nanocellulose From Durio zibethinus L. and TiO2 NPs as Potential Food Packaging Antibacterial (E. coli Wild Type and Resistance)
According to the 印尼n Association of Olefin Aromatic and Plastic Industries/INAPLAS, 2019 national plastic consumption still relies on plastic packaging at 65% and surprisingly, around 60% of plastic waste is absorbed by the food and beverage industry. The waste has been widely sought to be environmentally friendly, one of which is by developing biodegradable packaging. The purpose of this research is to make durian peel cellulose nanocomposites impregnated with TiO2 NPs, to form antibacterial properties against E. coli wild type and resistance. In this research, there are research methods consisting of nanocomposite synthesis, PSA test, FTIR, physical characteristics test and resistance test. The results analyzed that the nanocomposite nanocellulose-TiO2 NPs was successfully made using a 1:1 ratio and had a particle size of 458.7 nm based on the PSA test, which is classified as a nano size. The success of nanocomposite synthesis was proven by the results of FTIR analysis, which showed the formation of 698.65cm-1 and 1633.99cm-1 spectra, indicating the peak of TiO2 NPs and O-H functional groups on TiO2 NPs, as well as 1028.98cm-1 and 1158.42cm-1 showing C-O and C-O-C bonds in cellulose. The antibacterial test performed showed no significant activity in disc diffusion and well diffusion tests against E. coli wild type and resistance. This is potentially caused by inhomogeneous particle size variation. Physical characteristics test showed that the tensile strength test (0.075 > 0.0125 MPa) Durio Nano-Pack is superior to styrofoam, but the compressive strength test (0.125 > 0.875 MPa) shows the opposite. In this study, nanocomposite has a potential innovation that provides good mechanical properties and has a dual function mechanically as bio-based food packaging and chemically as antibacterial. Further research is needed to improve the particle size homogeneity of nanocomposites, modify the impregnation method, so that it has the potential to develop multifunctional materials that excel in various applications.
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