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    <title>DSpace Collection:</title>
    <link>https://hdl.handle.net/20.500.14279/8958</link>
    <description />
    <pubDate>Tue, 26 May 2026 10:04:28 GMT</pubDate>
    <dc:date>2026-05-26T10:04:28Z</dc:date>
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      <title>Data processing method and data storage system</title>
      <link>https://hdl.handle.net/20.500.14279/35905</link>
      <description>Title: Data processing method and data storage system
Authors: Herodotou, Herodotos
Abstract: The application provides a data processing method and a data storage system. The method comprises the steps that a data storage system trains a first streaming model according to a plurality of first access data characteristics corresponding to a first file in an i-1 access request and first access attribute parameters of the first file, then, a plurality of second access data characteristics corresponding to the first file in the i-1 access request are input into the first streaming model, second access attribute parameters of the first file in the i+1 access request are obtained, and then, the first file can be prefetched or migrated according to the second access attribute parameters. Therefore, the method carries out online training on the first streaming model by using a plurality of first access data features, so that consumed storage resources and computational resources are relatively small, the first streaming model can adapt to the continuously-changing file access mode, and the service performance of the data storage system can be effectively improved.</description>
      <pubDate>Thu, 01 Aug 2024 00:00:00 GMT</pubDate>
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      <dc:date>2024-08-01T00:00:00Z</dc:date>
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    <item>
      <title>Methods and compositions for improved seed growth</title>
      <link>https://hdl.handle.net/20.500.14279/35599</link>
      <description>Title: Methods and compositions for improved seed growth
Authors: Fotopoulos, Vasileios</description>
      <pubDate>Sun, 06 Aug 2023 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://hdl.handle.net/20.500.14279/35599</guid>
      <dc:date>2023-08-06T00:00:00Z</dc:date>
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      <title>System and method for carbon capture and utilization</title>
      <link>https://hdl.handle.net/20.500.14279/35354</link>
      <description>Title: System and method for carbon capture and utilization
Authors: Vyrides, Ioannis
Abstract: A system and a method for converting captured carbon dioxide (CO2) into hydrogen (H2) by using metallic iron or metallic magnesium in anaerobic process are described. In a first step, the CO2 can be absorbed in an alkaline solution such as NaOH and a soluble bicarbonate is formed. In a second step, the soluble bicarbonate HCO3- is converted into H2 by reacting it with zero valent metal, like metallic Fe (powder) or scrap Fe or Magnesium ribbon in anaerobic ambient conditions. Metal carbonate, like siderite, is created on the outer surface of Fe(0) and can be separated by the alkaline solution, which is recycled in the first reaction to be used for CO2 absorption. Exposing the separated siderite to weak acid, either citric acid or oxalic acid, zero valent metal is obtained, which is recycled in the second reaction. Alternatively, the siderite can be used as a raw material in the steel industry or cement industry or commercialized as an iron scrap. The generated H2 can be directly used for energy purposes or can be directed to another reactor comprising also bicarbonate solution and mix hydrogenotrophic methanogens to be converted into methane (CH4) or to a bioreactor comprising homoacetogenic bacteria to be converted into carboxylic acids, like acetic acid (CH3COOH). Alternatively, the reaction with Fe(0) or Mg(0), bicarbonate solution, CO2 and hydrogenotrophi</description>
      <pubDate>Fri, 01 Aug 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://hdl.handle.net/20.500.14279/35354</guid>
      <dc:date>2025-08-01T00:00:00Z</dc:date>
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    <item>
      <title>PHYSIOLOGICALLY BASED TOXICOKINETIC (PBTK) MODELING FOR IMPLANT TOXICOLOGY</title>
      <link>https://hdl.handle.net/20.500.14279/29213</link>
      <description>Title: PHYSIOLOGICALLY BASED TOXICOKINETIC (PBTK) MODELING FOR IMPLANT TOXICOLOGY
Authors: Kapnisis, Konstantinos</description>
      <pubDate>Thu, 01 Dec 2022 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://hdl.handle.net/20.500.14279/29213</guid>
      <dc:date>2022-12-01T00:00:00Z</dc:date>
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