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    <title>DSpace 社群:</title>
    <link>http://scholars.ntou.edu.tw/handle/123456789/4</link>
    <description />
    <pubDate>Mon, 24 Aug 2026 18:25:46 GMT</pubDate>
    <dc:date>2026-08-24T18:25:46Z</dc:date>
    <item>
      <title>Plasma-engineered chitosan couples red-light bioenergetics to diabetic wound regeneration through programmable microenvironments</title>
      <link>http://scholars.ntou.edu.tw/handle/123456789/26803</link>
      <description>標題: Plasma-engineered chitosan couples red-light bioenergetics to diabetic wound regeneration through programmable microenvironments
作者: Rethi, Lekshmi; Chau, Hoa Duc; Febriani, Erlina; Chen, Yan-Ting; Tung, Szu-Yu; Jheng, Pei-Ru; Tseng, Yu-Wen; Li, Rou; Tsai, Min-Lang; Chang, Chun-Chi; Pham, Van Khiet; Nguyen, Hieu Trung; Chuang, Andrew E. -Y.
摘要: Diabetic wounds remain trapped in a non-healing loop driven by oxidative stress, impaired bioenergetics, and persistent inflammation. Here, we report a cold atmospheric plasma (CAP)-engineered chitosan-microalgae (CS-CHL) photobioactive dressing that converts a carbohydrate matrix into a programmable photosynthetic interface for wearable 660-nm activation. CAP remodeled the CS microenvironment in a duration-dependent manner, as verified by FTIR/XRD/NMR, and yielded a distinct optimum at 30 s with the most favorable polymer reorganization and coupling to CHL. This just-right" window tuned photochemical branching under red light  showing the strongest oxygen-sensitive response as reflected by the lowest O-2 quenching index (similar to 66.3%  indicating the greatest probe quenching and thus higher O-2 availability)  while simultaneously enhancing reductive bioenergetic outputs  including hydrogen production (similar to 117.6%) and MPP-Production (similar to 116.4%)  accompanied by the strongest light-responsive electrochemical signal. In an STZ-induced diabetic full-thickness wound model  CS-CHL + 660 nm accelerated macroscopic wound closure versus wound-only and CS controls  while systemic hematological indices remained comparable across groups. Mechanistic tissue profiling further supported coordinated inflammation suppression  angiogenic/regenerative recovery  ROS reduction  mitochondrial functional restoration  and activation of mitophagy/autophagy-associated pathways. Collectively  CAP-tuned carbohydrate microenvironments provide a powerful route to program microalgal photobioenergetics and enable light-assisted diabetic wound repair."</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://scholars.ntou.edu.tw/handle/123456789/26803</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Carnosic Acid Attenuates TNF-α-Induced Insulin Resistance by Regulating Mitochondrial Function in 3T3-L1 Adipocytes</title>
      <link>http://scholars.ntou.edu.tw/handle/123456789/26806</link>
      <description>標題: Carnosic Acid Attenuates TNF-α-Induced Insulin Resistance by Regulating Mitochondrial Function in 3T3-L1 Adipocytes
作者: Lin, Chia-Yuan; Chan, Lok-, I; Chang, Yu-Hsuan; Lu, Meng-Chun; Tsai, Chia-Wen
摘要: The disruption of mitochondrial homeostasis is a trigger for insulin resistance. The loss of N-acetyltransferase 1 (Nat1) function, an insulin-sensitivity gene, contributes to mitochondrial dysfunction and insulin resistance. Carnosic acid (CA), a diterpene derived from rosemary, has demonstrated an anti-insulin-resistance effect. This study hypothesized that CA protects against TNF-alpha-induced insulin resistance in 3T3-L1 adipocytes by regulating mitochondrial dynamics, biogenesis, and function via Nat1. 3T3-L1 adipocytes were pretreated with CA for 12 h, followed by co-treatment with TNF-alpha for an additional indicated duration. Results showed that treatment of 3T3-L1 adipocytes with TNF-alpha decreases mitochondrial membrane potential (MMP) and PGC-1 alpha protein levels and alters mitochondrial fission/fusion dynamics. Pretreatment with CA improved these effects. In parallel, CA prevented the TNF-alpha-induced reduction in Nat1 protein and improved insulin signaling by suppressing the phosphorylation of insulin receptor substrate-1 (IRS-1) at serine(307), while restoring the phosphorylation of IRS-1 at tyrosine(628) and Akt. Moreover, transfection with Nat1 siRNA inhibited the protective effect of CA against TNF-alpha-induced reductions in MMP, PGC-1 alpha, and insulin signaling. In conclusion, CA ameliorated TNF-alpha-induced insulin resistance by reducing mitochondrial dysregulation by Nat1.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://scholars.ntou.edu.tw/handle/123456789/26806</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Use of Artificial Intelligence (AI) in Meso - zooplankton (Copepod) research: Applications, advances and future perspectives</title>
      <link>http://scholars.ntou.edu.tw/handle/123456789/26799</link>
      <description>標題: Use of Artificial Intelligence (AI) in Meso - zooplankton (Copepod) research: Applications, advances and future perspectives
作者: Thirunavukkarasu, Subramani; Rajendran, Poovazhagi; Watts, Andrew Gift; Epinoux, Clemence; Molinero, Juan-Carlos; Liao, Bo-Kai; Hwang, Jiang-Shiou
摘要: Copepods dominate meso-zooplankton communities in marine and freshwater systems and form a critical trophic bridge between primary producers and higher consumers, thereby regulating secondary production, carbon flux, and nutrient cycling. Escalating marine pollution, including microplastics, petroleum hydrocarbons, heavy metals, and eutrophication-driven harmful algal blooms and their byproducts, threatens these keystone organisms by impairing feeding, reproduction, and survival, with cascading effects on ecosystem stability and fisheries resources. Yet, conventional monitoring based on net sampling, microscopy, and expert taxonomy remains laborintensive, time-consuming, and insufficient for resolving large-scale, long-term pollution impacts. Artificial intelligence (AI) has emerged as a transformative solution, enabling rapid, automated, and scalable assessment of copepod communities and their environmental drivers. This review synthesizes recent advances in machine learning and deep learning for automated species identification, image-based classification, ecological modeling, and distribution forecasting, alongside AI-powered spatiotemporal imputation and prediction of chlorophyll-a and water-quality indicators to diagnose habitat quality and pollution stress. Approaches such as convolutional neural networks, ensemble learning, generative models, and real-time imaging systems substantially improve detection accuracy, data completeness, and predictive performance. Despite challenges related to training data, sensor integration, and model generalization, AI-driven frameworks offer unprecedented capacity for continuous monitoring and early warning. Integrating these technologies into marine pollution management will strengthen biodiversity conservation, ecosystem resilience, and evidence-based coastal governance.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://scholars.ntou.edu.tw/handle/123456789/26799</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Phenological shifts in plankton dynamics reshape pressures on anchovy recruitment in the southern coastal waters of the Korean peninsula</title>
      <link>http://scholars.ntou.edu.tw/handle/123456789/26800</link>
      <description>標題: Phenological shifts in plankton dynamics reshape pressures on anchovy recruitment in the southern coastal waters of the Korean peninsula
作者: Lee, Sun-Hee; Molinero, Juan Carlos; Ramirez-Romero, Eduardo; Park, Joo Myun; Scotti, Marco; Tseng, Li-Chun; Kang, Jung-Hoon
摘要: The East Asian marginal seas support one of the world's highest levels of fish production and consumption, yet their coastal ecosystems are increasingly threatened by rapid warming and degradation driven by cumulative anthropogenic pressures, including habitat modification and overexploitation. Using a comprehensive dataset (2010-2020) from a major fishing ground in the southern coastal region of the Korean Peninsula, we investigate phenological changes in plankton communities across three statistically supported thermal regimes identified during the 2010s. Phytoplankton exhibited a progressive decline in the magnitude of the annual bloom, while the peak of the Nemopilema nomurai jellyfish bloom shifted earlier by similar to 1.5 months (from day of year [DOY] 268 to DOY 225), increasing temporal overlap with the anchovy (Engraulis japonicus) spawning season after 2014. During the 2010s, annual production of anchovy declined markedly from 113.7 &amp; times; 10(3) metric tons in 2010-2013 to 85.01 &amp; times; 10(3) metric tons in 2017-2020. Structural equation modeling revealed that these declines were associated with the combined effects of weakened phytoplankton productivity and earlier jellyfish blooms, suggesting interacting bottom-up (phytoplankton-zooplankton-anchovy) and top-down processes affecting anchovy early life stages. These patterns are consistent with a phenology-driven mechanism linking environmental variability to recruitment conditions, rather than a direct causal attribution. Our findings highlight the importance of phenological shifts in shaping forage fish productivity and underscore the need to incorporate jellyfish dynamics into ecosystem-based fisheries management in the region.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://scholars.ntou.edu.tw/handle/123456789/26800</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
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