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    <title>DSpace community: 其他校內單位</title>
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      <title>自適應控制器於混合交直流微電網之電力系統穩定度分析</title>
      <link>http://140.116.207.99/handle/987654321/324472</link>
      <description>title: 自適應控制器於混合交直流微電網之電力系統穩定度分析</description>
      <pubDate>Mon, 02 Mar 2026 02:29:14 GMT</pubDate>
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    <item>
      <title>微生物發酵雲端智慧製造系統的設計與實踐</title>
      <link>http://140.116.207.99/handle/987654321/324471</link>
      <description>title: 微生物發酵雲端智慧製造系統的設計與實踐</description>
      <pubDate>Mon, 02 Mar 2026 02:29:08 GMT</pubDate>
    </item>
    <item>
      <title>持久性汙染物全氟化物之前瞻環境復育技術研發</title>
      <link>http://140.116.207.99/handle/987654321/324470</link>
      <description>title: 持久性汙染物全氟化物之前瞻環境復育技術研發 abstract: Predicting the environmental fate of engineered nanomaterials (ENM) with high spatial resolution under realistic environmental conditions is key for a high-tier assessment of ENM exposure in the environment. A crucial step in this process is to link release assessments based on material flow analysis (MFA) with the fate and transport models. This paper presents a novel model that couples a form-specific probabilistic material flow analysis (PMFA) release model with a highly spatiotemporally resolved fate and transport river model. The effects of tides and the experimentally derived dissolution rate are incorporated into the modeling to accurately reflect the realistic environmental conditions of the study area, a coastal river in southern Taiwan. The PMFA results show that the pristine form of ZnO nanoparticles released into surface waters accounts for 89% of the total ZnO nanoparticles released to surface waters, due to the limited coverage of the wastewater treatment system. Dissolution was the predominant fate process for ZnO nanoparticles in the Yanshuei River, while heteroaggregation was less important. Free ZnO nanoparticles only occurred sporadically and were noticeable at the discharge points, with the highest mean steady-state concentration of 0.9 μg/L. Free Zn ion was the major ZnO nanoparticles-derived product species, with an average steady-state concentration that can accumulate downstream to 7 μg/L. A sensitivity analysis indicated the importance of dissolution at dissolution rates kdiss &gt; 3 d−1, while heteroaggregation became important when kdiss ≤ 0.1 d−1. The tides significantly affected the distributions of Zn species along the river. Within 2 months of simulation time, the high tide resulted in the accumulation of Zn species as much as 3 times higher at the river sections receiving large loads, while the low tide drained the plumes of Zn species. The study highlights the important considerations of the realistic local ENM release, including the ENM forms, in combination with the highly spatiotemporal fate and transport modeling, which is essential for the exposure assessment as a part of ecological risk assessment.
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      <pubDate>Mon, 02 Mar 2026 02:29:02 GMT</pubDate>
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    <item>
      <title>創新驅動的表面增強拉曼光譜在分析化學和病毒感染細胞分泌外泌體中的即時檢測應用</title>
      <link>http://140.116.207.99/handle/987654321/324469</link>
      <description>title: 創新驅動的表面增強拉曼光譜在分析化學和病毒感染細胞分泌外泌體中的即時檢測應用 abstract: 利用非標定表面增顯拉曼光譜(SERS)技術，定性檢測SAR-CoV-2病毒及其變異株、流感病毒等。病毒之外膜蛋白是SERS光譜峰值強度的主要貢獻者。SARS-CoV-2病毒的結構，其外膜成分，包括S棘蛋白和包膜蛋白的組成，透過分析S蛋白質結構(病毒內部變異核酸的表現)，使落入奈米構型的熱區，進而快速篩檢出是否為SARS-CoV-2病毒或其變異種。在臨床樣本的檢測中，這種具有選擇性的專利奈米結構仍然容易受到臨床採樣環境的干擾，從而降低了無標記SERS檢測的辨別能力和檢測重複性。生物分析物檢測技術的前瞻應用顯示，需要創新來克服傳統方法的限制。本次研究加強了兩種分析方法對臨床樣本進行分類－經驗法用於識別與目標SARS-CoV-2 BA.2變異株對應的特性，並以機器學習(ML)方法用於建立分類器模型。透過分析化學結合ML進行無標記SERS樣本分類驗證可解決此問題。(第一篇論文) &#xD;
藉由取得完整的SERS光譜以區分 CoV (+)和CoV (-)樣本，研究完整SERS光譜與取得特徵光譜，然後做ML之間的差異。完整的 SERS 光譜作為ML的輸入數據，其靈敏度和特異性可為 60%；另一方面，當使用萃取的光譜特徵時，其靈敏度均為 100%，這項研究可以快速篩選 CoV (+)住院患者，但受到合併症影響的光譜圖的複雜性、住院樣本的數量和多樣性，需要進一步區分CoV (-)光譜圖的限制。(第二篇論文) &#xD;
上述病毒檢測方法已取得美國專利(Patent No.: US 12,287,292 B2；Date of Patent: Apr. 29, 2025)，旨在建立完整的資料庫。 &#xD;
除了上述議題之外，電漿醫學為傷口護理提供創新且先進的物理方法，它獨特地結合傷口抗菌作用(主要目標)和加速受損組織再生(次要目標)。本綜述探討其在現代醫學中的創新應用潛力，探討本技術如何增強傷口癒合、減少微生物負荷並改善臨床療效。經認證的電漿裝置可提供附加技術，使有可能透過整合基礎研究、臨床前模型和臨床應用的成果來改善目前的傷口護理醫療程序。(第三篇論文) &#xD;
本學期休假期間亦執行經濟部價創2.0計畫，成立新創公司，成果豐碩，時間雖然過得很快，學習過程也很充實。
&lt;br&gt;</description>
      <pubDate>Mon, 02 Mar 2026 02:28:56 GMT</pubDate>
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