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In this blog, explore the key differences between GEO (Generative Engine Optimization) and SEO, and learn how AI-powered search platforms like ChatGPT, Gemini, and Google AI Overviews are reshaping digital visibility in 2026. 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From inventory management to distribution, achieve peak performance and minimize costs.</description><link>https://throughput.world/supply-chain-management-software/</link><dc:creator>throughputwor</dc:creator><dc:date>2024-03-20T07:35:26+01:00</dc:date><dc:subject>Chain Supply Software Optimization </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Unlock the full potential of your supply chain with Supply Chain Optimization Software. From inventory management to distribution, achieve peak performance and minimize costs.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Chain"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Supply"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Software"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Optimization"/></rdf:Bag></taxo:topics></item><item rdf:about="https://math.stackexchange.com/questions/2589581/is-euler-lagrange-equation-necessary-and-sufficient-for-minimization-in-a-variat"><title>stochastic calculus - Is Euler-Lagrange equation necessary and sufficient for minimization in a variational problem? - Mathematics Stack Exchange</title><description></description><link>https://math.stackexchange.com/questions/2589581/is-euler-lagrange-equation-necessary-and-sufficient-for-minimization-in-a-variat</link><dc:creator>knaevelboerrar</dc:creator><dc:date>2023-09-19T09:38:59+02:00</dc:date><dc:subject>convex-analysis optimization mathematics </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2023-09-19T09:38:59+02:00&#034; href=&#034;https://math.stackexchange.com/questions/2589581/is-euler-lagrange-equation-necessary-and-sufficient-for-minimization-in-a-variat&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://math.stackexchange.com/questions/2589581/is-euler-lagrange-equation-necessary-and-sufficient-for-minimization-in-a-variat&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/convex-analysis"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/optimization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mathematics"/></rdf:Bag></taxo:topics></item><item rdf:about="http://hal.science/hal-03128298v5"><title>Goal-oriented sensitivity analysis of hyperparameters in deep learning</title><description></description><link>http://hal.science/hal-03128298v5</link><dc:creator>attika</dc:creator><dc:date>2023-08-27T01:53:39+02:00</dc:date><dc:subject>hyperparameter optimization deep machine Scientific learning </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2023-08-27T01:53:39+02:00&#034; href=&#034;http://hal.science/hal-03128298v5&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://hal.science/hal-03128298v5&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/hyperparameter"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/optimization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/deep"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/machine"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Scientific"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learning"/></rdf:Bag></taxo:topics></item><item rdf:about="https://hal.archives-ouvertes.fr/hal-03840821"><title>Solubility and dissolution optimization of paracetamol using in situ micronization by solvent change method - Archive ouverte HAL</title><description>Dissolution is an important preceding step for the absorption of drugs in class II of the Biopharmaceutics Classification System (BCS) resulting in poor bioavailability. This current study was directed at determining the outcome of in situ micronization technique on the dissolution and solubility profiles of paracetamol. Six formulations of paracetamol microcrystals were produced by the solvent change method using HPMC and PVP K30 as stabilizing agents. The solubility, percentage drug content, and dissolution patterns of the produced microcrystals were all tested. The study disclosed that paracetamol solubility was increased up to 5-fold in the PVP K30 stabilized paracetamol microcrystal and a 4.5-fold increase for HPMC stabilized paracetamol microcrystal. The time course of dissolution was improved significantly from 0.6%/min for plain paracetamol to 1.1%/min and 1.2%/min for HPMC and PVP K30 stabilized paracetamol microcrystal respectively. Formulation P6, with 0.08 g of PVP K30 as stabilizing agents and an anti-solvent to solvent ratio of 1:6 was the optimized formulation having a 5-fold solubility increase, 98.3% content of active and 95.32% drug release in 60 minutes. The solvent change strategy of the in situ micronization technique could be used for the augmentation of solubility and dissolution of paracetamol.</description><link>https://hal.archives-ouvertes.fr/hal-03840821</link><dc:creator>innspubnet</dc:creator><dc:date>2022-12-14T13:32:20+01:00</dc:date><dc:subject>situ optimization dissolution solubility paracetamol </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Dissolution is an important preceding step for the absorption of drugs in class II of the Biopharmaceutics Classification System (BCS) resulting in poor bioavailability. This current study was directed at determining the outcome of in situ micronization technique on the dissolution and solubility profiles of paracetamol. Six formulations of paracetamol microcrystals were produced by the solvent change method using HPMC and PVP K30 as stabilizing agents. The solubility, percentage drug content, and dissolution patterns of the produced microcrystals were all tested. The study disclosed that paracetamol solubility was increased up to 5-fold in the PVP K30 stabilized paracetamol microcrystal and a 4.5-fold increase for HPMC stabilized paracetamol microcrystal. The time course of dissolution was improved significantly from 0.6%/min for plain paracetamol to 1.1%/min and 1.2%/min for HPMC and PVP K30 stabilized paracetamol microcrystal respectively. Formulation P6, with 0.08 g of PVP K30 as stabilizing agents and an anti-solvent to solvent ratio of 1:6 was the optimized formulation having a 5-fold solubility increase, 98.3% content of active and 95.32% drug release in 60 minutes. The solvent change strategy of the in situ micronization technique could be used for the augmentation of solubility and dissolution of paracetamol.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/situ"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/optimization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/dissolution"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/solubility"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/paracetamol"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.youtube.com/watch?v=ZMWHWjnPORA"><title>YOW! 2020 Online - Susanne Kaiser - Building Adaptive Systems For a Fast Flow of Change - YouTube</title><description></description><link>https://www.youtube.com/watch?v=ZMWHWjnPORA</link><dc:creator>brightbyte</dc:creator><dc:date>2022-10-13T10:42:44+02:00</dc:date><dc:subject>wardley development management optimization maps software organization team map flow wisdom structure </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2022-10-13T10:42:44+02:00&#034; href=&#034;https://www.youtube.com/watch?v=ZMWHWjnPORA&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.youtube.com/watch?v=ZMWHWjnPORA&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/wardley"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/development"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/management"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/optimization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/maps"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/software"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/organization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/team"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/map"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/flow"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/wisdom"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/structure"/></rdf:Bag></taxo:topics></item><item rdf:about="https://greydanus.github.io/2022/05/08/structural-optimization/"><title>A Tutorial on Structural Optimization</title><description></description><link>https://greydanus.github.io/2022/05/08/structural-optimization/</link><dc:creator>analyst</dc:creator><dc:date>2022-05-11T09:23:25+02:00</dc:date><dc:subject>optimization mechanical tutorial article blog </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2022-05-11T09:23:25+02:00&#034; href=&#034;https://greydanus.github.io/2022/05/08/structural-optimization/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://greydanus.github.io/2022/05/08/structural-optimization/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/optimization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mechanical"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/tutorial"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/article"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/blog"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.cs.cornell.edu/courses/cs4787/2021sp/"><title>CS 4787 Spring 2021 Principles of Large-Scale Machine Learning</title><description></description><link>https://www.cs.cornell.edu/courses/cs4787/2021sp/</link><dc:creator>topel</dc:creator><dc:date>2022-03-16T14:37:49+01:00</dc:date><dc:subject>optimization deeplearning courses </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2022-03-16T14:37:49+01:00&#034; href=&#034;https://www.cs.cornell.edu/courses/cs4787/2021sp/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.cs.cornell.edu/courses/cs4787/2021sp/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/optimization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/deeplearning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/courses"/></rdf:Bag></taxo:topics></item></rdf:RDF>