Factors Influencing Successful Small-Farm Operations in North Carolina

The overall goal of this research project is to identify and refine factors influencing successful small farm operations in North Carolina. Small farms account for 91 percent of all farms. Given the importance of small farm viability, this research project focuses on identifying ways to further enhance successful small farming in North Carolina. In an effort to further explain the factors that affect successful small-scale farming, researchers have identified factors that have underpinnings in 1) small-farm educational programming; 2) small-scale agricultural enterprises and production practices; 3) alternative marketing; and 4) risk management. Although this research project includes several surveys, for this phase of the project the survey instrument solicited production and financial data, attitudes and beliefs about farming, as well as demographic questions. The research instrument was distributed to a sampling frame that also included small farmers not identified as being successful. Outcomes of this project yielded possible ways to further enhance the success of small farms in North Carolina. Based on case study and questionnaire results, income was not found to be as important as believed and the overall, “love of farming,” seemed to be the driving force behind the farmer’s view of success and not profit. The small farm may represent an individual business enterprise but in reality represents a family business whose success is often measured in qualifiers indicators rather than business quantifiers.Small Farm, Agribusiness, Successful, Agribusiness,

Validation of Factors Influencing Successful Small Scale Farming in North Carolina

This phase of the research project involves developing a survey instrument to test the validity and predictive value of the variables identified in previous case studies. Given the importance of small farm viability, this research project focuses on identifying ways to further enhance successful small farming in North Carolina. The survey instrument was designed to solicit production and financial data, attitudes and beliefs about farming, as well as demographic questions. The results demonstrated that successful farmers indicators were the “love of farming” and “manageable debt”. Other strong indicators of successful farmers included a combination of marketing strategies that utilize technology such as websites as well as local farmers markets and educational level. Knowledge about the successful small farm is likely to provide valuable information about how to evaluate the “successfulness” of small farm operations and produce best practices models for small scale farm operations.Small Farmers, Agribusiness, Agribusiness, Farm Management,

Case Studies of Successful Small Scale Farming in North Carolina

The goal of this study focuses on determining factors that contribute to a successful small farm in North Carolina and on identifying ways to further enhance successful small farming. North Carolina farms vary extensively in size and other characteristics, ranging from very small retirement and residential farms to establishments with millions of dollars in sales. Farming continues to be a distinctive industry in part because most production, even among very large farms, is carried out on family-operated farms whose operators often balance farm and off-farm employment and investment decisions. The case studies of successful small farmers conducted in November 2007 were the primary sources of data. The North Carolina Cooperative Extension Program identified three “successful” farmers from its sampling frame to participate in the case studies. Researchers identified sets of variables associated with small farm success through various literature, published and unpublished reports and recommendations from experts in the field. After the variables were operationalized, a questionnaire was developed as a guide for conducting the case studies interview protocols. Each case study consisted of a one-visit protocol with electronic follow-up. Researchers conducted on-site interviews, and then toured the individual farms. The case study farmers used a diverse mix of enterprises including specialty crops and a combination of marketing strategies. The educational level ranged from post high school to Ph.D. although all farmers attended several workshops. All farmers minimized risk through diversity, contractual sales and insurance. Only one farmer used computers for record keeping and finance. The overall “love of farming” seemed to be the biggest driving force behind the farmer’s view of success.Small Farmer, Agribusiness, Agricultural Finance, Teaching/Communication/Extension/Profession,

Evaluating Detection of an Inhalational Anthrax Outbreak

One-sentence summary for table of contents: When syndromic surveillance detected a substantial proportion of outbreaks before clinical case finding, false-positive results occurred

Mapping MOS-HIV to HUI3 and EQ-5D-3L in Patients With HIV

Objectives: The Medical Outcomes Study HIV Health Survey (MOS-HIV) is frequently used in HIV clinical trials; however, scores generated from the MOS-HIV are not suited for cost-effectiveness analyses as they do not assign utility values to health states. Our objective was to estimate and externally validate several mapping algorithms to predict Health Utilities Index Mark 3 (HUI3) and EQ-5D-3L utility values from the MOS-HIV. Methods: We developed and validated mapping algorithms using data from two HIV clinical trials. Data from the first trial (n = 367) formed the estimation data set for the HUI3 (4,610 observations) and EQ-5D-3L (4,662 observations) mapping algorithms; data from the second trial (n = 168) formed the HUI3 (1,135 observations) and EQ-5D-3L (1,152 observations) external validation data set. We compared ordinary least squares (OLS) models of increasing complexity with the more flexible two-part, beta regression, and finite mixture models. We assessed model performance using mean absolute error (MAE) and mean squared error (MSE). Results: The OLS model that used MOS-HIV dimension scores along with squared terms gave the best HUI3 predictions (mean observed 0.84; mean predicted 0.80; MAE 0.0961); the finite mixture model gave the best EQ-5D-3L predictions (mean observed 0.90; mean predicted 0.88; MAE 0.0567). All models produced higher prediction errors at the lower end of the HUI3 and EQ-5D-3L score ranges

Adaptação do inventário parental “Language Use Inventory (LUI)” para crianças entre 18 e 47 meses para o português europeu : estudo piloto

Language acquisition and development takes in account the child’s interaction with the surrounding environment. Daily social interactions with people and communication with others allow the child to acquire language being pragmatics considered a system of rules that support the communicative use of language. Identification and assessment of children at risk for language disorders are crucial in order to carry out an effective early intervention. This study was carried out taking into account first, the relevance of pragmatics as a component of language, and second the lack of assessment tools in Portugal to assess these abilities. Therefore, the aim of this study consists on the translation, adaptation and validation of the inventory “Language Use Inventory” (LUI), to European Portuguese. The LUI is a standardized parent report measure designed to assess pragmatic language development in children within 18- to 47-month-old.Objetivo: A aquisição e o desenvolvimento da linguagem resultam da interação da criança com o meio ambiente. As interações sociais cotidianas com as pessoas e a comunicação com outros permitem que a criança adquira linguagem, sendo a pragmática o sistema de regras que suporta o uso comunicativo da linguagem. A identificação e a avaliação de crianças em risco de desenvolverem transtornos de linguagem são cruciais, tendo em vista a intervenção precoce eficaz. Tendo em vista a relevância da pragmática como componente da linguagem e a escassez, em Portugal, de instrumentos de avaliação da linguagem validados para idades precoces, a finalidade deste estudo consistiu na tradução, adaptação e validação do instrumento Language Use Inventory (LUI), para o português europeu. O LUI é um inventário parental que avalia o desenvolvimento da pragmática entre os 18 e os 47 meses. Métodos: Foram adotados todos os procedimentos recomendados pelas diretrizes internacionais sobre a adaptação de testes, culminando em estudo piloto com uma amostra de 120 inventários, respondidos pelos pais/cuidadores de crianças portuguesas da referida faixa etária. Resultados: Os coeficientes de consistência interna (Alfa de Cronbach) para a versão portuguesa do LUI situaram-se em 0,97 para a escala total e entre 0,71 e 0,96 para as subescalas. Conclusão: Os resultados preliminares dos estudos de adaptação e de validação do LUI-Pt para crianças portuguesas são promissores e asseguram a validade interna desta escala em termos da sua dimensionalidade e consistência interna

What do cyclists need to see to avoid single-bicycle crashes?

The number of single-bicycle crash victims is substantial in countries with high levels of cycling. To study the role of visual characteristics of the infrastructure, such as pavement markings, in single-bicycle crashes, a study in two steps was conducted. In Study 1, a questionnaire study was conducted among bicycle crash victims (n = 734). Logistic regression was used to study the relationship between the crashes and age, light condition, alcohol use, gaze direction and familiarity with the crash scene. In Study 2, the image degrading and edge detection method (IDED-method) was used to investigate the visual characteristics of 21 of the crash scenes. The results of the studies indicate that crashes, in which the cyclist collided with a bollard or road narrowing or rode off the road, were related to the visual characteristics of bicycle facilities. Edge markings, especially in curves of bicycle tracks, and improved conspicuity of bollards are recommended. Statement of Relevance: Elevated single-bicycle crash numbers are common in countries with high levels of cycling. No research has been conducted on what cyclists need to see to avoid this type of crash. The IDED-method to investigate crash scenes is new and proves to be a powerful tool to quantify 'visual accessibility'. © 2011 Taylor & Francis

Modeling, optimizing and simulating robot calibration with accuracy improvement

This work describes techniques for modeling, optimizing and simulating calibration processes ofrobots using off-line programming. The identification of geometric parameters of the nominalkinematic model is optimized using techniques of numerical optimization of the mathematicalmodel. The simulation of the actual robot and the measurement system is achieved by introducingrandom errors representing their physical behavior and its statistical repeatability. An evaluationof the corrected nominal kinematic model brings about a clear perception of the influence ofdistinct variables involved in the process for a suitable planning, and indicates a considerableaccuracy improvement when the optimized model is compared to the non-optimized one

Academic Performance and Behavioral Patterns

Identifying the factors that influence academic performance is an essential part of educational research. Previous studies have documented the importance of personality traits, class attendance, and social network structure. Because most of these analyses were based on a single behavioral aspect and/or small sample sizes, there is currently no quantification of the interplay of these factors. Here, we study the academic performance among a cohort of 538 undergraduate students forming a single, densely connected social network. Our work is based on data collected using smartphones, which the students used as their primary phones for two years. The availability of multi-channel data from a single population allows us to directly compare the explanatory power of individual and social characteristics. We find that the most informative indicators of performance are based on social ties and that network indicators result in better model performance than individual characteristics (including both personality and class attendance). We confirm earlier findings that class attendance is the most important predictor among individual characteristics. Finally, our results suggest the presence of strong homophily and/or peer effects among university students

Photoproduction of D∗±D^{*\pm} mesons associated with a leading neutron

The photoproduction of $D^{*\pm} (2010)$ mesons associated with a leading neutron has been observed with the ZEUS detector in $ep$ collisions at HERA using an integrated luminosity of 80 pb$^{-1}$. The neutron carries a large fraction, {$x_L>0.2$}, of the incoming proton beam energy and is detected at very small production angles, {$\theta_n<0.8$ mrad}, an indication of peripheral scattering. The $D^*$ meson is centrally produced with pseudorapidity {$|\eta| 1.9$ GeV}, which is large compared to the average transverse momentum of the neutron of 0.22 GeV. The ratio of neutron-tagged to inclusive $D^*$ production is $8.85\pm 0.93({\rm stat.})^{+0.48}_{-0.61}({\rm syst.})\%$ in the photon-proton center-of-mass energy range {$130 <W<280$ GeV}. The data suggest that the presence of a hard scale enhances the fraction of events with a leading neutron in the final state.Comment: 28 pages, 4 figures, 2 table