The COOLMEAT project aimed to develop an alternative rapid cooling method for cooked meat that improved food safety and quality compared to conventional vacuum cooling. Testing showed the immersion vacuum cooling (IVC) prototype reduced cooling times by 40-70% compared to air blast cooling and had lower weight losses than vacuum cooling alone. Sensory analysis found IVC produced meat with comparable texture, tenderness and juiciness to traditionally cooled meat. IVC is a more affordable and effective cooling method that allows meat processors to meet EU regulatory guidelines.
The COOLMEAT project aimed to develop an alternative rapid cooling method for cooked meat that improved food safety and quality compared to conventional vacuum cooling. Testing showed the immersion vacuum cooling (IVC) prototype reduced cooling times by 40-70% compared to air blast cooling and had lower weight losses than vacuum cooling alone. Sensory analysis found IVC produced meat with comparable texture, tenderness and juiciness to traditionally cooled meat. IVC is a more affordable and effective cooling method that allows meat processors to meet EU regulatory guidelines.
Bacteriophage and its Applications in Foodrasha mohamed
Introduction to Bacteriophage
Classification
Phage Life Cycle
Where we can find phages?
Desirable properties of phages used as biocontrol agents in foods
Bacteriophages for biocontrol of pathogens in food
Some reviews on Bacteriophage in food safety
Large Scale Production and Purification Strategy
Bacteriophages in Detection
Advantages of Phage
Challenges in Bacteriophage and Measures to control
Obligate intracellular parasites that multiply inside bacteria by making use of some or all of the host biosynthetic machinery
EHF refers to Extra High Frequency and UV refers to Ultraviolet Light. Mobile Radio Wireless LAN systems operate at EHF frequencies, which have wavelengths smaller than those of microwaves allowing them to carry more information. These systems can provide connectivity for mobile devices using EHF signals and avoid interference from other radio technologies.
Bacteriophages of LAB control measures and significance pkchoudhury
This document discusses bacteriophages (phages) that infect lactic acid bacteria (LAB) used in dairy starter cultures. It describes four main mechanisms of phage resistance in LAB: 1) adsorption inhibition through changes to cell surface proteins and polysaccharides, 2) DNA injection blocking, 3) restriction modification systems, and 4) abortive infection systems. It also outlines various methods used in dairy plants to control phages, including phage-inhibitory media, culture rotation, development of phage-resistant mutants, encapsulation of cultures, and improving sanitation.
This document presents information about cheese from a presentation given by Ankur Gupta. It defines cheese and describes its classification based on moisture content, including soft, semi-hard, hard, and very hard cheeses. The general manufacturing process for cheese is outlined involving steps like coagulation, curd preparation, pressing, salting, and ripening. Specific methods for making cottage cheese and cheddar cheese are also summarized. Common defects in cheddar cheese and their causes are listed. Popular cheese brands in India are noted along with Amul being a major brand. The conclusion restates that cheese is obtained from milk through coagulation and draining and that acceptability remains a concern for some due to the use of rennet.
Improving Enterprise Findability: Presented by Jayesh Govindarajan, SalesforceLucidworks
1) Jayesh Govindarajan presented on improving enterprise search and findability at Salesforce. He discussed how enterprise search differs from consumer search, challenges with enterprise findability, and machine learning algorithms like LETOR that can be used.
2) Govindarajan explained that diversity of data, intentions, and customers makes enterprise search more complex than consumer search. Most enterprise search relies on simple ranking functions that may not reflect relevance well.
3) Machine learning algorithms like logistic regression and learning to rank can learn relevance from user behavior data like clicks and views. These algorithms output ranking models that can be deployed to search engines like Solr.
Working with Deeply Nested Documents in Apache Solr: Presented by Anshum Gupt...Lucidworks
The document discusses querying nested documents in Apache Solr. It provides examples of indexing nested XML and JSON documents in Solr, and demonstrates various ways to query the nested documents, including:
- Finding all documents that mention a keyword
- Returning specific document types (comments, replies) that match a query
- Cross-level queries that search across different levels of nesting
- Block join parent and child queries to return parents or children of matching documents
- Returning all descendants of a document by using the ChildDocTransformer
Your Big Data Stack is Too Big!: Presented by Timothy Potter, LucidworksLucidworks
Timothy Potter presented at a Big Data conference in Boston from October 11-14, 2016. He discussed how Lucidworks Fusion provides an alternative to traditional big data stacks that emphasizes fast access, agility and automation over integration. Fusion allows for common access patterns like fast lookups, ranked retrieval and distributed scans while integrating technologies like Solr, Spark, HDFS and more. It provides tools for data ingestion, time-based partitioning, analytics, machine learning and more to solve business problems rather than focus on infrastructure.
Solr Highlighting at Full Speed: Presented by Timothy Rodriguez, Bloomberg & ...Lucidworks
The document discusses highlighting in legal search applications. It provides an overview of existing highlighters in Solr and their tradeoffs between accuracy, speed and memory usage. It then describes improvements made to the standard highlighter and the development of a new Unified Highlighter that aims to improve performance while maintaining accuracy. Benchmark results show the Unified Highlighter performs similarly or better than other highlighters. Future work is discussed to further improve accuracy and relevancy.
Tedarik zinciri yönetim etkinliğinin artırılmasında kullanılan performans ölçüleri, performans ölçümü neden önemlidir, tedarik zinciri performansı, tedarik zinciri performans ölçüm sistemleri, tedarik zinciri performans ölçüm kriterleri, tedarik zinciri performans ölçüm fonksiyonları, tedarik zinciri performansını ölçmede kullanılan modern yöntemler, kurumsal karne (balanced scorecard), lojistik puan tablosu, faaliyet tabanlı maliyetleme (ABC yöntemi), ekonomik katma değer, SCOR modeli.
The presentation describes how ABEMA uses video streaming technologies to improve its quality as a public media service. It also discusses technological challenges in the COVID-19 pandemic.