Salmonelle as Next Generation Probiotics
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Belonging to the Enterobactericae family, Salmonella is a group of Gram-negative, facultatively anaerobic, and facultatively intracellular pathogenic bacteria. https://live-biotherapeutic.creative-biolabs.com/salmonelle.htm
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mRNA molecule as research tools
Messenger ribonucleic acid (mRNA), a type of RNA molecule that can be found in various cells. In general, the structure of mRNA is often composed of a 5' cap, two untranslated regions (5' UTR and 3' UTR), a coding domain, a 3' poly(A) tail. mRNA can be produced during the process of transcription in the nucleus. Normally, primary transcript mRNA (pre-mRNA) will be created at the early stage of transcription. This pre-mRNA will be further processed into mature mRNA by RNA splicing and removing introns. Mature mRNA can be further transported into the cytoplasm to participate in protein synthesis. Moreover, two main types of RNA molecules, transfer RNA (tRNA) and ribosomal RNA (rRNA), have also been identified that play a critical role in translating codons into amino acids in the protein-manufacturing process.https://mrna.creative-biolabs.com/applications-of-mrna-as-research-tools.htm
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mRNA molecule as research tools
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Dried by centrifugal evaporation from an aqueous solution.
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Dried by centrifugal evaporation from an aqueous solution.
https://www.creative-biolabs.com/glycoprotein/galactoarabinan-202.htm
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Membrane carbohydrates, found on the extracellular surface, are complex and can display considerable variability in composition and structure. They are attached with embedded lipids forming glycolipids. Glycolipids constitute a complex family of amphipathic molecules structurally characterized by a hydrophilic mono- or oligo-saccharide moiety linked to a hydrophobic ceramide moiety.https://www.creative-biolabs.com/glycoprotein/custom-glycolipid-synthesis.htm
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https://www.creative-biolabs.com/glycoprotein/glycoprotein-detection-by-staining-procedures.htm
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How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
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From Natural Language to Structured Solr Queries using LLMs
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
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LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
This LF Energy webinar took place June 20, 2024. It featured:
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-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
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