COMMUNICATION
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doi:10.20944/preprints202402.0604.v2
Subject:
Physical Sciences,
Mathematical Physics
Keywords:
Dissipative Hydrodynamics, Schwinger-Keldysh Field Theory, Navier-Stokes Equations, Long-Range Massless Modes, Fluid Dynamics, Volume-Preserving Diffeomorphisms, Closed-Time-Path Formalism, Hydrodynamic Correlation Functions, Effective Field Theory, Non-Relativistic Fluid Dynamics, Systematic Treatment, Second Order in Derivatives, Energy-Momentum Balance Equation, Hydrodynamic Transport, Gravitational Anomaly, Quasinormal Modes, Holography, Entropy Production, Conformal Invariance
Online: 21 February 2024 (09:20:45 CET)
ARTICLE
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doi:10.20944/preprints202105.0242.v1
Subject:
Computer Science And Mathematics,
Mathematics
Keywords:
Lorentzian SRT-transformation factors as solutions of oscillation-equations Holger Döring IQ-Berlin-Spandau Germany e-mail:[email protected]:Shown is the derivation of Lorentz-Einstein k-factor in SRT as an amplitude-term of oscillation-differential equations of second order.This case is shown for classical Lorentz-factor as solution of an equation for undamped oscillation as well as the developed theorem as a second solution for advanced SRT of fourth order with an equation for damped oscillation-states.This advanced term allows a calculation for any velocities by real rest mass.key-words: undamped oscillation; SRT; k-factor; Differential-equation of second order; Einstein-Lorentz; Amplitude-analogy; damped oscillation; developed SRT of fourth order
Online: 11 May 2021 (11:16:44 CEST)
ARTICLE
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doi:10.20944/preprints202406.1554.v1
Subject:
Computer Science And Mathematics,
Artificial Intelligence And Machine Learning
Keywords:
Multi-Agent Systems (MAS), Machine Learning Pipelines, Supervised Learning, Data Science
Automation, Large Language Models (LLM), Reinforcement Learning (RL), Time Series Forecasting, AI Agents,
Open-Source Framework, Model Efficiency, Task Automation · Scalability in Machine Learning, Model Adaptability,
Collaborative AI Systems, Machine Learning Workflow Optimization
Automation, Large Language Models (LLM), Reinforcement Learning (RL), Time Series Forecasting, AI Agents,
Open-Source Framework, Model Efficiency, Task Automation · Scalability in Machine Learning, Model Adaptability,
Collaborative AI Systems, Machine Learning Workflow Optimization
Online: 24 June 2024 (09:50:32 CEST)
ARTICLE
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doi:10.20944/preprints201810.0088.v1
Subject:
Chemistry And Materials Science,
Biomaterials
Keywords:
There are many molecules used as drug carrier. TUD-1 is a newly synthesized mesoporous silica (SM) molecule possess two important features; consists of mesoporous so it is very suitable to be drug carrier in addition to that it has the ability to induce apoptosis in cancer cells. However, the effect of TUD-1 appears to act as cell death inducer, regardless of whether it is necrosis or apoptosis. Unfortunately, recent studies indicate that a proportion of cells undergo necrosis rather than apoptosis, which limits the use of TUD-1 as a secure treatment. On the other hand, lithium considered as necrosis inhibitor element. Hence, current study based on the idea of production a new Li/TUD-1 by incorporated mesoporous silica (TUD-1 type) with lithium in order to produce a new compound that has the ability to activate apoptosis by mesoporous silica (TUD-1 type) and at the same time can inhibit the activity of necrosis by lithium. Herein, lithium was incorporated in TUD-1 mesoporous silica by
Online: 4 October 2018 (15:54:02 CEST)