Recent Advances

  title={Recent Advances},
  author={Guang-Ya Chen and Shengjie Li and Jiuping Xu and Xinmin Yang},
  journal={Journal of Optimization Theory and Applications},
Methane (CH4) is the single most important greenhouse gas emitted by cattle during the production of meat and milk and constitutes the major part of the carbon footprint (CFP) of those products. When CFPs of ruminant products such as beef and milk are compared to CFPs of products from monogastric animals, that ruminants can utilize non-human edible feed to produce human-edible food is often ignored. Reduction of enteric CH4 per unit ruminant product can be achieved indirectly by increasing… 

Recent Advances in Fish Biotechnology: A Review

  • Renu SinghB. Rani
  • Biology, Engineering
    International Journal of Current Microbiology and Applied Sciences
  • 2020
This work has shown that while fish production continues to outpace world population growth, and aquaculture remains one of the fastest-growing food producing sectors it appears unlikely that the increasing demand can be met through increased natural harvest.

Amount and source of protein in concentrates fed to high producing dairy cows in a subtropical feeding system

Dietary protein intake rather than protein degradability was more limiting for cows fed high levels of supplements with temperate pastures and maize silage, and there were no significant differences in yield or composition of milk by cows fed the different protein meals.

Novel Approaches in the Valorization of Agricultural Wastes and Their Applications

Worldwide, a huge amount of agricultural food wastes and byproducts containing valuable bioactive compounds are generated, especially throughout the entire supply chain. Minimizing food wastes and

Bioactive Phenolic Compounds From Agri-Food Wastes: An Update on Green and Sustainable Extraction Methodologies

This review addresses the most promising and innovative methodologies for the recovery of functional phenolic compounds from waste materials that have appeared in the recent literature, and extraction procedures based on the use of green technologies as well as of green Solvents such as deep eutectic solvents are surveyed.

Efficient biosynthesis and recovery of polyhydroxyalkanoate

The development of new strategies for improved production, including utilization of low cost carbon sources, genetic modification of PHA-producing microbes, and fermentation strategies are discussed here.

Non-thermal Technologies for Food Processing

In non-thermal processing, food is processed at near room temperature, so there is no damage to food because heat-sensitive nutritious materials are intact in the food, contrary to thermal processing of food.

Recent Advances in Low-Carbon and Sustainable, Efficient Technology: Strategies and Applications

The COVID-19 pandemic has had a significant impact on the supply chains of traditional fossil fuels. According to a report by the International Energy Agency (IEA) from 2020, oil-refining activity

Long-lasting ergot lipids as new biomarkers for assessing the presence of cereals and cereal products in archaeological vessels

This research demonstrated that the combination of the innovative biomarker approach along with environmental and archaeological evidence can provide unprecedented insights into the incidence of cereals and related processing activities in ancient societies.

Bioaccessibility and Intestinal Transport of Deltamethrin in Pacific Oyster (Magallana Gigas) Using Simulated Digestion/NCM460 Cell Models

Investigation of the bioaccessibility of DEL in oysters with different cooking methods after simulated digestion indicated that roasting can be used as a recommended cooking method for oysters, and provides a reference for the impact of lipophilic toxins in seafood.

Chemical Profiling of Volatile Organic Compounds in the Headspace of Algal Cultures as Early Biomarkers of Algal Pond Crashes

It is indicated that specific VOCs released by infected algae cultures may be early indicators for impending pond crashes, providing a useful tool to monitor algal biomass production and pond crash prevention.



Taxonomic inflation: its influence on macroecology and conservation.

Secretariat of the Convention on Biological Diversity

Incentive measures within the framework of the CBD are typically employed to ‘internalize’ the public-good value of biodiversity into the decision-making of relevant actors. When full internalization

Biodiversity informatics: organizing and linking information across the spectrum of life

  • I. Sarkar
  • Environmental Science
    Briefings Bioinform.
  • 2007
Biodiversity informatics is presented here as a discipline that unifies biological information from a range of contemporary and historical sources across the spectrum of life using organisms as the linking thread.

Identification of transcription factor contexts in literature using machine learning approaches

A text-classification system designed to automatically recognise contexts related to transcription factors in literature with high accuracy, with a significantly reduced set of features when compared to traditional bag-of-words approach is described.

A combining approach to Find All taxon names (FAT) in legacy biosystematics literature

This work builds on an existing approach for extraction of such names and combines it with several other learning techniques and applies them to the texts sequentially so that each technique can use the results from the preceding ones.

Taxongrab: Extracting Taxonomic Names from Text

Using a combination of contextual rules and a language lexicon, a set of simple computational techniques for extracting taxonomic names from biological text consistently performs at greater than 96% Precision and 94% Recall and at a much higher speed than manual extraction techniques.

LINNAEUS: A species name identification system for biomedical literature

LINNAEUS is an open source, stand-alone software system capable of recognizing and normalizing species name mentions with speed and accuracy, and can be integrated into a range of bioinformatics and text-mining applications.

NetiNeti: discovery of scientific names from text using machine learning methods

NetiNeti, a machine learning based approach for recognition of scientific names including the discovery of new species names from text that will also handle misspellings, OCR errors and other variations in names, is presented.

Brand Communication In Twitter - A Case Study On Adidas

The conclusion is come to that communication in social media is indeed of high importance for adidas and it is shown that adidas enters the communication in Twitter strategically to increase the awareness of their products.

Semantic tagging of and semantic enhancements to systematics papers: ZooKeys working examples

The concept of semantic tagging and its potential for semantic enhancements to taxonomic papers is outlined and illustrated by four exemplar papers published in the present issue of ZooKeys, the first taxonomic journal to provide a complete XML-based editorial, publication and dissemination workflow implemented as a routine and cost-efficient practice.