Resistance and Innovation In the Evolving Urban Food System of Monterrey Mexico

Monterrey is the capital city of the state of Nuevo Leon in Mexico. Historically it is the leading industrial city of Mexico, with a strong history of foreign direct investment. Located in the northeastern part of the country, its proximity to Texas has fostered its status as a modern cosmopolitan metropolis. The past couple decades have been characterized by a history of violence, but that is now diminishing as citizens\u27 groups are taking back our city . The hot and arid climate of the region meant that, as the metropolis developed, it had to rely on some importation of food from other parts of the country. The paper investigates the emergence and development of innovation and resistance in the regional food system of the Monterrey metropolitan region. Without ascribing any functionalist properties to the agrifood system, the paper uses the concept of an agrifood value chain and its ancillary components to analyze the ways in which the regional agrifood system has developed and changed during the past several decades. Specifically the paper investigates the changing relationships between: primary production (farm, ranch, garden), processing, wholesale distribution, retail sales, commercial and institutional food service, and final consumption.https://scholarworks.uvm.edu/fss2014/1012/thumbnail.jp

Regiospecific synthesis of N2-aryl 1,2,3-triazoles from 2,5-disubstituted tetrazoles via photochemically generated nitrile imine intermediates

The synthesis of N2-aryl 1,2,3-triazoles from 2,5-disubstituted tetrazoles was achieved under photochemical conditions. This simple and mild one-step reaction provides regiospecific access to 2,4,5-substituted 1,2,3-triazoles via a nitrile imine intermediate. Syntheses of alkyl and heterocylic derivatives were also investigated

Correlation Between CAM-Cycling and Photosynthetic Gas Exchange in Five Species of Talinum (Portulacaceae)

This is the publisher's official version, also available electronically from: http:/​/​dx.​doi.​org/​10.​1104/​pp.​96.​4.​1118Photosynthetic gat exchange and malic acid fluctuations were monitored in 69 well-watered plants from five morphologically similar species of Talinum in an investigation of the ecophysiological significance of the Crassulacean acid metabolism (CAM)- cycling mode of photosynthesis. Unlike CAM, atmospheric C03 uptake in CAM-cycling occurs exclusively during the day; at night, the stomata are closed and respiratory C 0 2 is recaptured to form malic add. All species showed similar patterns of day-night gas exchange and overnight malic acid accumulation, confirming the presence of CAM-cycling. Species averages for gas exchange parameters and malic acid fluctuation were significantly different such that the species with the highest daytime gas exchange had the lowest malic acid accumulation and vice versa. Also, daytime CO2 exchange and transpiration were negatively correlated with overnight malic acid fluctuation for all individuals examined together, as well as within one species. This suggests that malic acid may effect reductions in both atmospheric CO: uptake and transpiration during the day. No significant correlation between malic acid fluctuation and water-use efficiency was found, although a nonsignificant trend of increasing water-use efficiency with increasing malic acid fluctuation was observed among species averages. This study provides evidence that C 0 2 recycling via malic acid is negatively correlated with daytime transpirational water losses In well-watered plants. Thus, CAM-cycling could be important for survival In the thin, frequently desiccated soils of rock outcrops on which these plants occur

A cluster randomised control trial of a multi-component weight management programme for adults with intellectual disabilities and obesity

There have been few published controlled studies of multi-component weight management programmes that include an energy deficit diet (EDD), for adults with intellectual disabilities and obesity. The objective of this study was to conduct a single-blind, cluster randomised controlled trial comparing a multi-component weight management programme to a health education programme. Participants were randomised to either TAKE 5, which included an EDD or Waist Winners Too (WWToo), based on health education principles. Outcomes measured at baseline, 6 months (after a weight loss phase) and 12 months (after a 6-month weight maintenance phase), by a researcher blinded to treatment allocation, included: weight; BMI; waist circumference; physical activity; sedentary behaviour and health-related quality of life. The recruitment strategy was effective with fifty participants successfully recruited. Both programmes were acceptable to adults with intellectual disabilities, evidenced by high retention rates (90 %). Exploratory efficacy analysis revealed that at 12 months there was a trend for more participants in TAKE 5 (50·0 %) to achieve a clinically important weight loss of 5-10 %, in comparison to WWToo (20·8 %) (OR 3·76; 95 % CI 0·92, 15·30; 0·064). This study found that a multi-component weight management programme that included an EDD, is feasible and an acceptable approach to weight loss when tailored to meet the needs of adults with intellectual disabilities and obesity

Classification of hyper-scale multimodal imaging datasets

Algorithms that classify hyper-scale multi-modal datasets, comprising of millions of images, into constituent modality types can help researchers quickly retrieve and classify diagnostic imaging data, accelerating clinical outcomes. This research aims to demonstrate that a deep neural network that is trained on a hyper-scale dataset (4.5 million images) composed of heterogeneous multi-modal data can be used to obtain significant modality classification accuracy (96%). By combining 102 medical imaging datasets, a dataset of 4.5 million images was created. A ResNet-50, ResNet-18, and VGG16 were trained to classify these images by the imaging modality used to capture them (Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and X-ray) across many body locations. The classification accuracy of the models was then tested on unseen data. The best performing model achieved classification accuracy of 96% on unseen data, which is on-par, or exceeds the accuracy of more complex implementations using EfficientNets or Vision Transformers (ViTs). The model achieved a balanced accuracy of 86%. This research shows it is possible to train Deep Learning (DL) Convolutional Neural Networks (CNNs) with hyper-scale multimodal datasets, composed of millions of images. Such models can find use in real-world applications with volumes of image data in the hyper-scale range, such as medical imaging repositories, or national healthcare institutions. Further research can expand this classification capability to include 3D-scans.Publisher PDFPeer reviewe

Experiences with Teaching Nuclear Security Professional Development Courses for Health Physicists

Health physicists are professionals that are experts in the recognition, evaluation, and control of health hazards to permit the safe use and application of radiation. They typically have broad knowledge in radiation (ionizing and non-ionizing), biology, ecology and safety. With this wealth expertise we believe the health physicists would be useful partners in an effective security culture. As such over three years, a total of seven professional enrichment courses have been offered by the authors to health physics and radiation protection professionals, both nationally and internationally. Five have been through the Health Physics Society meetings, one through the International Radiation Protection Association meeting, and one at the Massachusetts Institute of Technology. This paper will briefly introduce these courses and will include learning objectives and descriptions of courses’ content. There was limited documented course participant feedback with only 1 of the 7 courses having documented course evaluations. Through both written and verbal feedback to the instructors it was clear the courses were well received

Panel Proposal: Publishing in the Journal of Information Systems Education

This panel will discuss the Journal of Information Systems Education (JISE), the journal sponsored by EDSIG. Several topics will be discussed, including (but not limited to): Submitting papers to JISE The review process Deciding whether your paper is a good fit with JISE Why papers get rejected and how to avoid rejection Opportunities for being a Guest Editor for a Special Issue

Non-Resident Alien Investment Activity In Iowa Farmland: A Preliminary Anaylsis

The issue of non-resident alien investment in U.S. business and agriculture has recently attracted the attention of numerous groups at the local, state, and national level. Public discussion and concern on this issue are based largely upon hearsay evidence and incomplete information. A comprehensive source of data or general picture of foreign investment in U.S. agriculture does not exist. Not only are the number of cases and characteristics (type of land, motivations of the investor, the intermediary channels, etc.) of actual investment activity unknown, but the nature and incidence of inquiries are equally unclear..

Conserved but flexible modularity in the zebrafish skull: implications for craniofacial evolvability

Morphological variation is the outward manifestation of development and provides fodder for adaptive evolution. Because of this contingency, evolution is often thought to be biased by developmental processes and functional interactions among structures, which are statistically detectable through forms of covariance among traits. This can take the form of substructures of integrated traits, termed modules, which together comprise patterns of variational modularity. While modularity is essential to an understanding of evolutionary potential, biologists currently have little understanding of its genetic basis and its temporal dynamics over generations. To address these open questions, we compared patterns of craniofacial modularity among laboratory strains, defined mutant lines and a wild population of zebrafish ( ). Our findings suggest that relatively simple genetic changes can have profound effects on covariance, without greatly affecting craniofacial shape. Moreover, we show that instead of completely deconstructing the covariance structure among sets of traits, mutations cause shifts among seemingly latent patterns of modularity suggesting that the skull may be predisposed towards a limited number of phenotypes. This new insight may serve to greatly increase the evolvability of a population by providing a range of 'preset' patterns of modularity that can appear readily and allow for rapid evolution

A single-blind, pilot randomised trial of a weight management intervention for adults with intellectual disabilities and obesity: study protocol

Background: The prevalence of obesity in adults with intellectual disabilities has consistently been reported to be higher than the general population. Despite the negative impact of obesity on health, there is little evidence of the effectiveness of weight management interventions for adults with intellectual disabilities and obesity. Preliminary results from a single-stranded feasibility study of a multi-component weight management intervention specifically designed for adults with intellectual disabilities and obesity (TAKE 5) and that satisfied clinical recommendations reported that it was acceptable to adults with intellectual disabilities and their carers. This study aims to determine the feasibility of a full-scale clinical trial of TAKE 5.<p></p> Methods: This study will follow a pilot randomised trial design. Sixty-six obese participants (body mass index (BMI) ≥30 kg/m2) will be randomly allocated to the TAKE 5 multi-component weight management intervention or a health education ‘active’ control intervention (Waist Winners Too (WWToo)). Both interventions will be delivered over a 12-month period. Participants’ anthropometric measures (body weight, BMI, waist circumference, percentage body fat); indicators of activity (levels of physical activity and sedentary behaviour) and well-being will be measured at three time points: baseline, 6 and 12 months. The researcher collecting outcome measures will be blind to study group allocation.<p></p> Conclusions: The data from this study will generate pilot data on the acceptability of randomisation, attrition rates and the estimates of patient-centred outcomes of TAKE 5, which will help inform future research and the development of a full-scale randomised clinical trial