CONSUMER KNOWLEDGE OF FOOD BIOTECHNOLOGY: A DESCRIPTIVE STUDY OF U.S. RESIDENTS

A national survey conducted by the Food Policy Institute demonstrates the lack of knowledge and awareness most Americans have of genetically modified foods. The paper provides insight into public perceptions of food biotechnology's risks and benefits and a preliminary examination of consumers' stated preferences for genetically modified functional foods.Research and Development/Tech Change/Emerging Technologies,

Measuring the effect of farmland preservation on farm profitability

Purchase of development rights (PDR) programs have been created in 27 states to preserve farmland resources. These programs seek to advance several societal objectives, including the protection of farmland from development, retention of rural amenities, and promotion of the economic viability of farming. Using New Jersey farm-level data, this study evaluates whether participation in a state PDR program improves farm profitability. The propensity score matching method is used to correct for selection bias arising from the voluntary nature of these programs. No statistically significant profit differential is found between preserved and observationally equivalent unpreserved farms in our full sample of 4029 farms. When the analysis is replicated across different farm types, we find weak evidence that the profitability of preserved residential lifestyle/retirement farms is lower than that observed for their unpreserved equivalents. In contrast, we find that small farms (<$100,000 in annual sales) operated by individuals for whom farming is a principal occupation earn$414 to $436 more per acre in profit than their observationally equivalent unpreserved counterparts

Measuring the effect of farmland preservation on farm profitability

Purchase of development rights (PDR) programs have been created in 27 states to preserve farmland resources. These programs seek to advance several societal objectives, including the protection of farmland from development, retention of rural amenities, and promotion of the economic viability of farming. Using New Jersey farm-level data, this study evaluates whether participation in a state PDR program improves farm profitability. The propensity score matching method is used to correct for selection bias arising from the voluntary nature of these programs. No statistically significant profit differential is found between preserved and observationally equivalent unpreserved farms in our full sample of 4029 farms. When the analysis is replicated across different farm types, we find weak evidence that the profitability of preserved residential lifestyle/retirement farms is lower than that observed for their unpreserved equivalents. In contrast, we find that small farms (<$100,000 in annual sales) operated by individuals for whom farming is a principal occupation earn$414 to $436 more per acre in profit than their observationally equivalent unpreserved counterparts

Helping Farmers Access Farmland: New Jersey\u27s New Land Link Website

Access to land is a common obstacle for beginning farmers and established farmers seeking to expand their operations. Particularly in urban-influenced areas, leasing farmland is often more financially feasible than fee ownership. Locating available land or the right leasing situation, however, can be difficult. NJ Land Link (http://njlandlink.org) is a new interactive website created to improve access to farmland and farming opportunities in New Jersey. The website allows farmland owners to list characteristics of their properties and terms of availability (e.g., sale, lease). Individuals seeking farmland or farm work opportunities can post their farming goals, resource needs, and farming experience

A systematic evaluation of semispecific peptide search parameter enables identification of previously undescribed N-terminal peptides and conserved proteolytic processing in cancer cell lines

Liquid chromatography-tandem mass spectrometry (LC-MS/MS) has become the most commonly used technique in explorative proteomic research. A variety of open-source tools for peptide-spectrum matching have become available. Most analyses of explorative MS data are performed using conventional settings, such as fully specific enzymatic constraints. Here we evaluated the impact of the fragment mass tolerance in combination with the enzymatic constraints on the performance of three search engines. Three open-source search engines (Myrimatch, X! Tandem, and MSGF+) were evaluated concerning the suitability in semi- and unspecific searches as well as the importance of accurate fragment mass spectra in non-specific peptide searches. We then performed a semispecific reanalysis of the published NCI-60 deep proteome data applying the most suited parameters. Semi- and unspecific LC-MS/MS data analyses particularly benefit from accurate fragment mass spectra while this effect is less pronounced for conventional, fully specific peptide-spectrum matching. Search speed differed notably between the three search engines for semi- and non-specific peptide-spectrum matching. Semispecific reanalysis of NCI-60 proteome data revealed hundreds of previously undescribed N-terminal peptides, including cases of proteolytic processing or likely alternative translation start sites, some of which were ubiquitously present in all cell lines of the reanalyzed panel. Highly accurate MS2 fragment data in combination with modern open-source search algorithms enable the confident identification of semispecific peptides from large proteomic datasets. The identification of previously undescribed N-terminal peptides in published studies highlights the potential of future reanalysis and data mining in proteomic datasets

Benchmarking of analysis strategies for data-independent acquisition proteomics using a large-scale dataset comprising inter-patient heterogeneity

Numerous software tools exist for data-independent acquisition (DIA) analysis of clinical samples, necessitating their comprehensive benchmarking. We present a benchmark dataset comprising real-world inter-patient heterogeneity, which we use for in-depth benchmarking of DIA data analysis workflows for clinical settings. Combining spectral libraries, DIA software, sparsity reduction, normalization, and statistical tests results in 1428 distinct data analysis workflows, which we evaluate based on their ability to correctly identify differentially abundant proteins. From our dataset, we derive bootstrap datasets of varying sample sizes and use the whole range of bootstrap datasets to robustly evaluate each workflow. We find that all DIA software suites benefit from using a gas-phase fractionated spectral library, irrespective of the library refinement used. Gas-phase fractionation-based libraries perform best against two out of three reference protein lists. Among all investigated statistical tests non-parametric permutation-based statistical tests consistently perform best

Benchmarking of analysis strategies for data-independent acquisition proteomics using a large-scale dataset comprising inter-patient heterogeneity

Numerous software tools exist for data-independent acquisition (DIA) analysis of clinical samples, necessitating their comprehensive benchmarking. We present a benchmark dataset comprising real-world inter-patient heterogeneity, which we use for in-depth benchmarking of DIA data analysis workflows for clinical settings. Combining spectral libraries, DIA software, sparsity reduction, normalization, and statistical tests results in 1428 distinct data analysis workflows, which we evaluate based on their ability to correctly identify differentially abundant proteins. From our dataset, we derive bootstrap datasets of varying sample sizes and use the whole range of bootstrap datasets to robustly evaluate each workflow. We find that all DIA software suites benefit from using a gas-phase fractionated spectral library, irrespective of the library refinement used. Gas-phase fractionation-based libraries perform best against two out of three reference protein lists. Among all investigated statistical tests non-parametric permutation-based statistical tests consistently perform best

Exploring spoken discourse and its neural correlates in women with Alzheimer's disease with low levels of education and socioeconomic status

Purpose: Early impairments in spoken discourse abilities have been identified in Alzheimer's disease (AD). However, the impact of AD on spoken discourse and the associated neuroanatomical correlates have mainly been studied in populations with higher levels of education, although preliminary evidence seems to indicate that socioeconomic status (SES) and level of education have an impact on spoken discourse. The purpose of this study was to analyze microstructural variables in spoken discourse in people with AD with low-to-middle SES and low level of education and to study their association with gray matter (GM) density. Method: Nine women with AD and 10 matched (age, SES, and education) women without brain injury (WWBI) underwent a neuropsychological assessment, which included two spoken discourse tasks, and structural magnetic resonance imaging. Microstructural variables were extracted from the discourse samples using NILC-Metrix software. Brain density, measured by voxel-based morphometry, was compared between groups and then correlated with the differentiating microstructural variables. Results: The AD group produced a lower diversity of verbal time moods and fewer words and sentences than WWBI but a greater diversity of pronouns, prepositions, and lexical richness. At the neural level, the AD group presented a lower GM density bilaterally in the hippocampus, the inferior temporal gyrus, and the anterior cingulate gyrus. Number of words and sentences produced were associated with GM density in the left parahippocampal gyrus, whereas the diversity of verbal moods was associated with the basal ganglia and the anterior cingulate gyrus bilaterally. Conclusions: The present findings are mainly consistent with previous studies conducted in groups with higher levels of SES and education, but they suggest that atrophy in the left inferior temporal gyrus could be critical in AD in populations with lower levels of SES and education. This research provides evidence on the importance of pursuing further studies including people with various SES and education levels