BUSINESS CLIMATE OF FOOD FIRMS: A COMPARATIVE ANALYSIS OF PROBLEMS FACED BY FOOD MANUFACTURERS, WHOLESALERS, RETAILERS AND SERVICE INSTITUTIONS IN NEW JERSEY

This paper presents the problems facing food firms using information from focus groups of industry executives from New Jersey. The leading problems for food manufacturers are related to regulation, taxation, economic development, and high business costs. For food wholesalers the leading problems are transportation, regulation, labor quality, training and education, and public relations. Food retailers cite litigation and liability, high business costs, regulation, and insurance costs as leading problems. For food service firms, regulation, licensing and permits, labor quality and costs, and high business costs are the most pressing problems. Policy recommendations for improving the business climate are provided.Agribusiness,

THE STATUS AND CONDITIONS OF NEW JERSEY'S FOOD WHOLESALE INDUSTRY: FOOD, GROCERIES, CONFECTIONERY, AND BEVERAGE WHOLESALE AND BROKERAGE

Agribusiness,

ENHANCING BUSINESS OPPORTUNITIES IN THE FOOD WHOLESALE SECTOR: A CASE STUDY OF NEW JERSEY

New Jersey is very much like many other states in the northeastern region of the United States. On the other hand, it is unique in a number of ways. New Jersey is characterized by (1) a large and affluent consumer base, (2) access to major ports and air transportation facilities which facilitates foreign imports and exports, and (3) large food manufacturing, retail and service sectors. New Jersey's food wholesale sector is therefore an important economic sector with strong potential for future growth. Food wholesalers can provide stable high-paying jobs in an economy still recovering from the 1989-92 recession. Limited knowledge of the challenges facing this sector may hinder its potential growth and development. Given the implications that could be drawn from New Jersey, this paper investigates the challenges facing New Jersey food wholesalers based on information obtained directly from industry leaders via a focus group meeting. Findings suggest the need for public policies to address transportation, regulation, education and training, public relations, nonunion labor and quality of life issues. These findings are useful in planning for economic development of the food wholesale sector and fostering competitiveness not only in New Jersey, but in the Northeast and other regions.Agribusiness,

Land use influences the spatiotemporal controls on nitrification and denitrification in headwater streams

N and C cycles in headwater streams are coupled, and land use can modify these cycles by increasing N availability and removing riparian vegetation. To increase our understanding of how land use modifies the controls on N cycling, we quantified rates of 2 microbial N transformations in a total of 18 agricultural and urban streams (with and without riparian buffers) for 3 y to examine how riparian vegetation and land use influence sediment nitrification and denitrification. Nitrification rates were highest in agricultural streams in late spring. Nitrification was not related to streamwater NH4+ concentrations but was positively related to sediment C content (linear regression, r2 = 0.72, p \u3c 0.001). This result suggests that benthic decomposition provided NH4+ (via mineralization) to increase sediment nitrification. Denitrification rates did not differ among landuse types but were positively related to sediment C content and streamwater NO3– concentration (multiple linear regression, R2 = 0.78, p \u3c 0.001). Sediment C content, the primary predictor of denitrification rates, did not differ among land uses, but streamwater NO3– concentration, the secondary predictor of denitrification rates, was highest in winter and in agricultural streams, indicating that land use and season were more important determinants of denitrification than coupled nitrification. Substrate availability (N and C) for N transformations generally did not differ between buffered and unbuffered streams within a similar landuse type, probably because of the confounding influence of tile drainage systems, which effectively decouple stream channels from their riparian zones. Land use influenced the delivery of the necessary substrates for N transformations but decreased the role of riparian zones in stream N cycling by simplifying the drainage network of headwater streams

THE STATUS AND CONDITION OF NEW JERSEY'S FOOD RETAIL INDUSTRY: GROCERY STORES, SUPERMARKETS, AND OTHER FOOD STORES

Agribusiness,

Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks

Calcium imaging is an important technique for monitoring the activity of thousands of neurons simultaneously. As calcium imaging datasets grow in size, automated detection of individual neurons is becoming important. Here we apply a supervised learning approach to this problem and show that convolutional networks can achieve near-human accuracy and superhuman speed. Accuracy is superior to the popular PCA/ICA method based on precision and recall relative to ground truth annotation by a human expert. These results suggest that convolutional networks are an efficient and flexible tool for the analysis of large-scale calcium imaging data.Comment: 9 pages, 5 figures, 2 ancillary files; minor changes for camera-ready version. appears in Advances in Neural Information Processing Systems 29 (NIPS 2016

Food resources of stream macroinvertebrates determined by natural-abundance stable C and N isotopes and a 15N tracer addition

Trophic relationships were examined using natural-abundance 13C and 15N analyses and a 15N-tracer addition experiment in Walker Branch, a 1st-order forested stream in eastern Tennessee. In the 15N-tracer addition experiment, we added 15NH4, to stream water over a 6-wk period In early spring, and measured 15N:14N ratios in different taxa and biomass compartments over distance and time. Samples collected from a station upstream from the 15N addition provided data on natural-abundance 13C:12C and 15N:14N ratios. The natural-abundance 15N analysis proved to be of limited value in identifying food resources of macroinvertebrates because 15N values were not greatly different among food resources. In general, the natural-abundance stable isotope approach was most useful for determining whether epilithon or detritus were important food resources for organisms that may use both (e.g., the snail Elimia clavaeformis), and to provide corroborative evidence of food resources of taxa for which the 15N tracer results were not definitive. The 15N tracer results showed that the mayflies Stenonema spp. and Baetis spp. assimilated primarily epilithon, although Baetis appeared to assimilate a portion of the epilithon (e.g., algal cells) with more rapid N turnover than the bulk pool sampled. Although Elimia did not reach isotopic equilibrium during the tracer experiment, application of a N-turnover model to the field data suggested that it assimilated a combination of epilithon and detritus. The amphipod Gammarus minus appeared to depend mostly on fine benthic organic matter (FBOM), and the coleopteran Anchytarsus bicolor on epixylon. The caddisfly Diplectrona modesta appeared to assimilate primarily a fast N-turnover portion of the FBOM pool, and Simuliidae a fast N- turnover component of the suspended particulate organic matter pool rather than the bulk pool sampled. Together, the natural-abundance stable C and N isotope analyses and the experimental 15N tracer approach proved to be very useful tools for identifying food resources in this stream ecosystem