Health-conscious millennials, aged between 20 and 35 years, worldwide are preferring quinoa and quinoa-based food owing to the nutritional benefits; quinoa contains protein, fiber, various vitamins and minerals, and essential amino acids.During 2014-2015, the food and drink products launched globally with quinoa as an ingredient increased by around 27%. This is attributed to the rising status of quinoa as a superfood. Also, the number of new food and drinks products launched with a claim of being a superfood or supergrain increased by more than 200% during 2011-2015.Owing to quinoa's adaptability and tolerance to arid conditions, it has emerged as

an attractive crop for farmers across various geographical regions. Over the years,quinoa has been receiving greater attention from crop scientists as well as the agribusiness sector, which in turn, will lead to the development of more productive varieties and improved crop yield and quality.Health experts and dieticians nowadays are recommending quinoa-based foods as a part of the diet. This is because of the easy digestibility as well as nutritional profile of quinoa.During the forecast period, food technologists and innovators will continue incorporating quinoa into new product lines to offer consumers a cost-effective solution for nutrition and health maintenance.

A DNA microarray is a collection of microscopic DNA spots that are attached to a solid surface. DNA microarrays allow the simultaneous monitoring of expression of thousands of genes. They can be used for both determination of mRNA levels and for genotyping. Protein microarrays help in monitoring the level of translation of proteins and the testing of enzyme actions. The tool is widely used to ascertain whether a particular individual’s DNA contains a mutation in genes.

ADAS essentially consist of sub-systems and features that work independently or are combined together to provide assistance, which is not only restricted to safety but can also span comfort as well as a broad spectrum of convenience for drivers of modern day automobiles. ADAS are defined as those systems, which provide essential information, as well as automate difficult-to-perform or tiresome and repetitive tasks, with a goal that is not limited to enhancing the safety and security of everyone on the road, including pedestrians. This definition of ADAS is purposefully kept as fluid as possible keeping in mind the fact that the ADAS landscape is ever-changing. These constant changes are engendered by the advances in automotive as well as non-automotive electronics, besides the advent of better and smarter algorithms, which are constantly in search of near-human intelligence.

The demand for power is constantly rising worldwide, driven by growing populations, among other factors. Future expansions in the global economy will likely drive this trend further. According to the United Nations (UN), the world's population is predicted to increase from 7.35 billion in 2015 to 8.5 billion by 2030. We estimate that global energy demand may rise from 19,003 TWh in 2011 to 34,453 TWh by 2035.

Operations in the oil and gas industry are divided into three major sectors: upstream, midstream, and downstream. Oil and gas companies in this industry are specialized in operations related to either of the three sectors. However, there are large integrated oil and gas companies, such as ExxonMobil, BP, and Chevron that have operations in all three sectors.

Modern financial markets use advanced mathematical models to arrive at transaction decisions and execute them. Such automated technologies are referred to as highspeed algorithmic trading. These methods determine the optimal time for an order to be placed so as to generate the least impact on stock prices. Large institutional investors use algorithmic trading technologies to buy and sell large blocks of shares in small tranches every day. The use of such technologies allows users to use the best possible pricing without any significant impact on purchasing costs. The automated trading systems are also referred to as algorithmic trading or mechanical trading systems where it allows the trader to establish specific rules for both trade entries and trade exits. They are generally programmed in a way so that they can be automatically executed through computer systems. The entry and exit in the trade is based on the moving average crossovers. Sometimes it also requires the understanding of the programming language that is specific to the user’s trading platform.

Abnormal immune responses of the innate immune system can cause autoimmune diseases, which can damage body tissues and lead to abnormal organ functions. Immunological complications due to physiological processes within the human body result in autoimmune diseases. These diseases are characterized by chronic inflammatory processes that activate the innate immune system and the production of antibodies that destroy host tissues. These inflammatory processes can be caused by genetic or environmental factors or infections.

Slide rails have been an important part of the ATM hardware. They find their application in the pulling out the different mobile components of the ATM hardware components such as cash dispenser unit (CDU), cartridges, error box, deposit box, and also the front panel of the ATM. ATM slide rails come under the business head of the mechanical unit in most of the vendors as these slide rails allow an ATM’s components to have a mechanical movement. As the market for the ATMs is growing due to the revival of the economy in Europe and growth of the banking sector in emerging economies. ATM slide rails thus also find a significant demand due to the potential of the end application market of ATMs where these slide rails are used. There are more than ten different types of ATMs where these slide rails find applications. These ATMs are segmented based on the location of the ATM as well as the type of the operation.

It refers to the continual process of learning followed by computer systems to enhance their knowledge about the subject while improving their performance. The learning occurs as a result of extensive amount of data collection, storage, and analysis done by the system without the help of any specifically programmed instructions. In this technique, the analysis includes identifying various patterns and trends in data obtained and then using it to make future course of actions. Machine learning is strengthening the grading and assessment models, enabling better data mining and analysis of volumes of data sets. It is also improving content analytics and learning analytics at an institutional level.>

Aquaculture is the rearing and cultivation of aquatic animals and plants for food under controlled conditions. It involves the farming of over 540 species of finfish, mollusks, crustaceans, and other invertebrates; about 35 species of seaweed; over 30 species of freshwater macrophytes; a few species of amphibians and aquatic reptiles; and about 50 species of microalgae and invertebrates as fish-food organisms in hatcheries.