Title from PDF of title page (University of Missouri--Columbia, viewed on March 8, 2010). The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Dissertation advisor: Dr. Nicholas Kalaitzandonakes. Vita. Includes bibliographical references.

Thesis (M.S.)--West Virginia University, 2003. / Title from document title page. Document formatted into pages; contains iv, 56 p. : ill. Includes abstract. Includes bibliographical references (p. 31-32).

In 2008 the Nobel Prize in Chemistry was awarded to the scientists who revolutionized biomedical technology by isolating, characterizing, and pioneering the use of a green fluorescent protein (GFP) from a humble hydrozoan jellyfish. Now numbering in the hundreds of colors and applications, fluorescent protein (FP) tools have facilitated the explosion of biological knowledge elucidated by a technology that can label DNA or RNA, track protein expression, and identify protein interactions. The development of the large variety of FP biotechnology available today has been due to the need for expanded color palettes and applications, and more efficient functionality. Yet, as our understanding of the biochemical and spectral characteristics of these genetically-encoded, self-assembling proteins has expanded, our comprehension of the biological function of FPs in the host organisms has remained inadequate. While the need for novel FP laboratory applications still continues, the new focus in the field of fluorescent proteins is moving to also characterize their biological functions. In this research compilation, the identification of three groups of new fluorescent proteins from marine copepods and hydrozoans has provided a collection of eleven FPs exhibiting previously uncharacterized colors, and biochemical and structural features. The green FPs from copepods are the brightest wild-type FPs identified and support the hypothesized biological function of fluorescence as counter-shading in the marine environment where these animals live. The FPs from the siphonophore and anthoathecate jelly, both hydrozoan animals, are comprised of tandemly expressed fluorescent protein units, a solution to the oligomeric structure common to most FPs that suggests a novel structure-function relationship. The fluorescent proteins from Obelia reveal a novel hydrozoan cyan FP, previously uncharacterized higher-order structural complexes, and have initiated the work to describe the biological function of these proteins as potential regenerators of their internal bioluminescent light sources. All eleven fluorescent proteins may also be adapted for FP technology. / text

Η έρευνα έγινε με σκοπό να διερευνήσουμε τη γνώμη του ελληνικού τουριστικού κοινού σχετικά με τα γενετικά τροποποιημένα τρόφιμα. Για να το διαπιστώσουμε αυτό καλέσαμε τους ερωτημένους να απαντήσουν σε μια σειρά από ερωτήσεις που αφορούσαν την πληροφόρηση τους σχετικά με τα γενετικά τροποποιημένα τρόφιμα καθώς και το πως συσχετίζονταν αυτά με παράγοντες όπως το περιβάλλον, η οικονομία, η υγεία και το ευ ζειν των καταναλωτών. / We worked on this subject so as to find out the opinion of the Greek customers about genetically modified products. The customers were asked for this reason to answer a number of questions that co-related these products with factors such as the environment, the economy, health, and the well-being of the customers in general.

No description available.

The manipulation of nature using modern biotechnology has resulted in the creation of Genetically Modified (GM) foods. There are states already enacting laws requiring the mandatory labeling of GM foods so that consumers can make informed choices as to what food to eat. However, on the flip side, the mandatory labeling of GM foods can also constitute non-tariff barriers as it can impose burdens on states that export GM foods. How should these two interests be balanced? This thesis takes the ambitious challenge of exploring whether the mandatory labeling of GM foods enacted under the government's protection of the consumers' right to information regarding what food to consume is consistent with the World Trade Organization (WTO) framework, particularly the Agreement on Technical Barriers to Trade (MT Agreement). This thesis holds the view that the WTO, an international organization established to promote trade liberalization, can incorporate protection of consumers' interests by including it within to the interpretation of "legitimate objective" contained in Article 2.2 of the TBT Agreement. Rather, the heart of problem lies in the threshold setting of exempting mandatory labeling. In particular, the dispersed threshold should be adjusted hi order to solve this issue, this thesis contends that both the TBT Committee and the dispute settlement system should be utilized.

Thesis (M.S.)--California Polytechnic State University, 2010. / Mode of access: Internet. Title from PDF title page; viewed on April 6, 2010. Major professor: James Ahern. "Presented to the faculty of California Polytechnic State University, San Luis Obispo." "In partial fulfillment of the requirements for the degree [of] Master of Science in Agribusiness." "March 2010." Includes bibliographical references (p. 63-66).

Thesis (doctoral)--Universität, Göttingen, 2004. / English summary: International liability for damage caused by genetically modified organisms. Copyright by Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V., to be exercised by Max-Planck-Institut für ausländisches öffentliches Recht und Völkerrecht, Heidelberg. Includes bibliographical references (p. [393]-410) and index.

Corn is a dominating feature in the landscape of the Midwestern United States. Associated with this crop are a plethora of products from fertilizers to pesticides that help farmers maximize grain yield while minimizing costs. A widely accepted form of protection from major pests in the United States is genetically modified corn that has been altered so that it contains genetic material from another species, a soil bacterium, Bacillus thuringiensis Berliner (Bt corn), in order to produce proteins that are toxic to some insect pests. Additional insecticides that are commonly used to protect corn include a neonicotinoid seed coating, clothianidin, and a pyrethroid insecticide applied in-furrow, tefluthrin. The goal of my dissertation was to measure the environmental fate of the Cry1Ab Bt corn protein, clothianidin, and tefluthrin and determine if measured concentrations could be causing effects to non-target species. The Cry1Ab proteins persisted only during the corn growing season in soil, runoff water and sediment with the highest concentrations measured during pollination. Clothianidin was detected in all matrices and remained persistent throughout the year in soil pore water. Tefluthrin was consistently detected in soil, runoff water, and runoff sediment during the corn growing season, but was not found in groundwater or soil pore water. No acute toxicity was observed to any species when exposed to the Cry1Ab protein in corn plant leaf tissue, therefore little risk was anticipated. Non-target species exposed to clothianidin resulted in limited ecological risk from field exposures. Tefluthrin results indicated elevated risk for non-target species exposed to tefluthrin at concentrations that were measured in the field study. There was no increase in toxicity to tefluthrin when non-target species were exposed to a combination of all three insecticides. In summary, the genetically modified corn insecticidal proteins and clothianidin were not found at environmental concentrations exceeding benchmark values for ecological effects, but tefluthrin was consistently detected in the environment at levels that could be causing toxicity to non-target species, especially if it is able to travel off-site.

Twitter are a new source of information for data mining techniques. Messages posted through Twitter provide a major information source to gauge public sentiment on topics ranging from politics to fashion trends. The purpose of this paper is to analyze the Twitter tweets to discern the opinions of users regarding Genetically Modified Organisms (GMOs). We examine the effectiveness of several classifiers, Multinomial Naïve Bayes, Bernoulli Naïve Bayes, Logistic Regression and Linear Support Vector Classifier (SVC) in identifying a positive, negative or neutral category on a tweet corpus. Additionally, we use three datasets in this experiment to examine which dataset has the best score. Comparing the classifiers, we discovered that GMO_NDSU has the highest score in each classifier of my experiment among three datasets, and Linear SVC had the highest consistent accuracy by using bigrams as feature extraction and Term Frequency, Chi Square as feature selection.