Böcker utgivna av Nova Science Publishers Inc

Buckwheat is a gluten-free product which could be considered a functional food due to its nutritional and biological value. In Buckwheat: Composition, Production and Uses, the authors begin by analysing the chemical composition and technological properties of common buckwheat flour produced in Latvia, as buckwheat flour could be used as a base ingredient for new product development taking into account its nutritional value and technological properties. Recently, hybrid, self-compatible, common buckwheat seeds have been obtained via heterosis breeding. In one study, the authors found that growth and yield were not significantly affected by the presence or absence of fly pollinators in either line, and growth and yield in the hybrid line were higher than those in the self-compatible line. These genotypes play an important role in improving seed yield, seed quality, and cultivation techniques for buckwheat. The introduction of buckwheat into Mediterranean regions would help to placate the rising consumer demand for healthy food with a low environmental impact. Thus, the authors set to explore the production of vegetative biomass and grain in response to sowing date and irrigation; the quality of forage obtained from buckwheat; the influence of photothermal conditions on flower and seed set, and the potential invasiveness of buckwheat. Following this, the next chapter offer an overview of the light and wholegrain buckwheat flour use in different formulations to obtain value-added products with determined rheological characteristics of dough as well as nutritional, functional and sensory parameters of the final products. The described products belong to bakery, pasta and confectionary product categories. Lastly, the authors propose that buckwheat can be a major ingredient of gluten free food products for people with celiac disease. Also, the demand for rutin and other flavonoids extracted from buckwheat is growing in the food, pharmaceutical and cosmetic industries due to their desirable physiological activities, such as antioxidant, antiinflammatory and antihypertensive.

In India and the surrounding countries, turmeric has long been used as a traditional folk medicine for treating and preventing various diseases as well as a spice for culinary purposes. Recent studies have shown that turmeric is effective as an antioxidant, antibacterial, antihypertensive, anti-diabetic and anti-myocardial infarction. In South America particularly in Mexico diverse tropical and subtropical fruits can be found. These fruits and herbs have been used as prescriptions for Mexican folk medicine. Among these formulations, mention is made especially of fruits and vegetables having cardiometabolic effects. Arthrospira maxima (spirulina) is generally known as an oxygenic photosynthetic bacteria and is rich in polyunsaturated fatty acids (PUFAs). The following chapters describe in detail preventions and treatments concerning medicinal fruits and herbs found in the abovementioned sites: Chapter One: The Phytochemicals and Health Benefits of Curcuma longa Linn. (Turmeric) (Family: Zingiberaceae); Chapter Two: Cardiometabolic Effects of Functional Foods and Phytochemicals within Mexican Folklore Medicine (Part 1); Chapter Three: Cardiometabolic Effects of Functional Foods and Phytochemicals within Mexican Folklore Medicine (Part 2); and Chapter Four: Arthrospira maxima (Spirulina): Protection against Mitomycin C-Induced Dominant Lethal Mutations. These chapters will provide more advanced information to researches in studying new drug designs of phytochemicals.

In the opening chapter of Gesture Recognition: Performance, Applications and Features, the authors discuss gesture recognition and its role in the developing world of technology. The possibility of implementing a gesture detection application that works with people with special needs is examined, such as recognition of sign language for the hearing-impaired. Following this, the authors present their approach for face detection and tracking, user identification, facial feature extraction and head pose estimation as the low-level representation of facial gesture atomics. Additionally, an approach for a movement-based facial gestures recognition is presented, with results demonstrated through practical approaches. A later work explores spectral features from algebraic graph theory in static hand gesture recognition. Specifically, we apply a technique that uses the elements of the spectral matrix of the Laplacian to construct symmetric polynomials that are permutation invariants. The values of these polynomials can be used as graph features in a statistical learning pipeline that has the ability of distinguishing between distinct graphs and can reveal graph clusters. In the closing study, the authors developed two algorithms for the detection of pointing gestures and one approach for waving on this technological base and studied their functionality. The goal was to determine whether a combination of both strategies improves and stabilizes detection rates.