Farmers share their perspectives on California water management and the sustainable groundwater management act

Agriculture is the largest human use of water in California, which gives farmers a critical role in managing water to meet the goals of the Sustainable Groundwater Management Act (SGMA). To explore farmers’ perspectives on SGMA, we held focus groups with 20 farmers in Yolo County, where the groundwater basin has been given a high/medium priority under SGMA. The farmers had varying perspectives about the factors that led to SGMA and varying responses to the regulation. They suggested that drought, competing agricultural and urban uses, and an increase in perennial crops were factors in recent water use, resulting in changes to water quality and quantity. Impacts of those changes included variable well levels, increased infrastructure costs, and ecosystem impacts, which farmers had responded to by implementing multiple management strategies. Additional research in other regions is imperative to provide farmers’ viewpoints and strategies to policymakers, irrigation districts, farmer cooperatives, and the agricultural industry and give farmers a voice at the table

Si nous les évaluons, apprendront-ils? Le point de vue des étudiants sur la complexité de l’évaluation pour l’apprentissage

Introduction: Assessment can positively influence learning, however designing effective assessment-for-learning interventions has proved challenging. We implemented a mandatory assessment-for-learning system comprising a workplace-based assessment of non-medical expert competencies and a progress test in undergraduate medical education and evaluated its impact. Methods: We conducted semi-structured interviews with year-3 and 4 medical students at McGill University to explore how the assessment system had influenced their learning in year 3. We conducted theory-informed thematic analysis of the data. Results: Eleven students participated, revealing that the assessment influenced learning through several mechanisms. Some required little student engagement (i.e., feed-up, test-enhanced learning, looking things up after an exam). Others required substantial engagement (e.g., studying for tests, selecting raters for quality feedback, using feedback). Student engagement was moderated by the perceived credibility of the system and of the costs and benefits of engagement. Credibility was shaped by students’ goals-in-context: becoming a good doctor, contributing to the healthcare team, succeeding in assessments. Discussion: Our assessment system failed to engage students enough to leverage its full potential. We discuss the inherent flaws and external factors that hindered student engagement. Assessment designers should leverage easy-to-control mechanisms to support assessment-for-learning and anticipate significant collaborative work to modify learning cultures.Introduction : L’évaluation peut influencer positivement l’apprentissage mais la conception de dispositifs d’évaluation pour l’apprentissage efficaces s’avère difficile. Nous avons implanté en formation prédoctorale un système obligatoire d’évaluation pour l’apprentissage comprenant une évaluation en milieu clinique des compétences transversales et un test de rendement progressif, puis évalué ses effets. Méthodes : Nous avons mené des entretiens semi-dirigés avec des étudiants en troisième et quatrième années de médecine à l’Université McGill pour explorer la manière dont le système d’évaluation avait influencé leur apprentissage au cours de la troisième année. Nous avons effectué une analyse thématique, informée par la théorie, des données. Résultats : Onze étudiants ont participé. Les résultats indiquent que l’évaluation a influencé leur apprentissage par le biais de plusieurs mécanismes différents. Certains d’entre eux nécessitaient une implication faible de la part de l’étudiant, comme l’identification des objectifs à atteindre (feed-up), l’apprentissage amélioré par les tests, la recherche d’informations après un examen. D’autres exigeaient une implication importante (par exemple, étudier pour les tests, sélectionner les évaluateurs pour obtenir une rétroaction de qualité, mettre à profit la rétroaction). L’implication des étudiants était modulée par leur perception des avantages et des inconvénients de s’impliquer, et de la crédibilité du système. Cette dernière était influencée par les objectifs-en-contexte des étudiants: devenir un bon médecin, contribuer à l’équipe soignante, réussir les épreuves d’évaluation. Discussion : Notre système d’évaluation n’a pas réussi à impliquer suffisamment les étudiants que pour réaliser son potentiel. Nous abordons les défauts inhérents au système ainsi que les facteurs externes qui ont entravé l’implication des apprenants. Pour implanter efficacement un dispositif d’évaluation pour l’apprentissage, les concepteurs d’évaluations devraient optimiser les mécanismes qui sont faciles à contrôler et être prêts à s’investir dans un important travail de collaboration pour changer les cultures d’apprentissage

US county-level agricultural crop production typology

Objectives: Crop production is an important variable in social, economic and environmental analyses. There is an abundance of crop data available for the United States, but we lack a typology of county-level crop production that accounts for production similarities in counties across the country. We fill this gap with a county-level classification of crop production with ten mutually exclusive categories across the contiguous United States. Data description: To create the typology we ran a cluster analysis on acreage data for 21 key crops from the United States Department of Agriculture\u27s 2012 Agricultural Census. Prior to clustering, we estimated undisclosed county acreage values, controlled for acreage in other crop types, and removed counties with low agricultural production to produce proportional scores for each crop type in each county. We used proportional scores to control for the influence of county size in the cluster analysis and used internal and stability measures to validate the analysis. The final dataset features 2922 counties. Future research can leverage this typology as an input for county- or regional-level analysis

Anesthetic Evaluation and Perioperative Management in a Patient with New Onset Mediastinal Mass Syndrome Presenting for Emergency Surgery

Mediastinal mass syndrome (MMS) is a complex case that poses many challenges to the anesthesiologist. The cornerstone of management focuses on the potential hemodynamic changes associated with this syndrome. We describe the anesthetic management of a patient with a previously undiagnosed mediastinal mass presenting for emergency neurosurgical surgery

Learning Style Preferences of Undergraduate Dietetics, Athletic Training, and Exercise Science Students

The study assessed the preferred learning style (LS) of college students and compared LS preferences among students majoring in Dietetics, Exercise Science, and Athletic Training. LS questionnaires were distributed to students (N=693, mean age 20.5±1.7) enrolled in health science courses at three Midwestern universities. Most students preferred a converger LS followed by assimilator, accommodator, and diverger. Some students preferred a combination of two LS. Chi square results indicated a significant relationship between college major and LS. Students in health majors were all observed to have a significant LS preference, namely the converger LS. However, distributions of preferred LS within each major differed. Understanding preferred LS of college students in different academic programs may increase the effectiveness of teaching and learning

Evaluating water quality regulation as a driver of farmer behavior: A social-ecological systems approach

Water quality policy for agricultural lands seeks to improve water quality by changing farmer behavior. We investigate farmer behavior in three water quality regimes that differ by rule structure to examine the fit and interplay of each policy within its social-ecological context, important aspects for improving water quality. Vermont, USA’s practice-based policy requires the adoption of specific practices, whereas New Zealand’s Lake Taupo and Lake Rotorua performance-based policies require farmers to meet a numeric limit for nutrient loss on their farm. Across the three regions we interviewed 38 farmers to elicit mental models of nutrient management changes. We utilized the social-ecological systems (SES) framework to guide mental model elicitation, drawing on farmers’ perceptions of the SES to identify salient aspects for behavior. Mental models were grouped by region and analyzed using network analysis. Farmers in all regions self-report high levels of behavior change and cite the policies as key drivers of behavior. This suggests that each policy fits in that it is achieving desired behavior change. However, different behavioral patterns emerged across the regions that we hypothesize have implications for biophysical fit: structural changes dominate in Vermont (e.g., buffers) and system changes in Taupo (e.g., switch from dairy support to beef cattle). The interplay of the policy in each setting, such as with incentive programs in Vermont and a market for nitrogen in Taupo, contributed to the different behavioral patterns. Additionally, access to capital in some form is required for farmers to achieve changes associated with higher biophysical fit. The social fit of the policies also varied, evidenced by dramatic upheaval in Taupo to mostly neutral perceptions of the policy in Vermont. We conclude that regions considering a shift to water quality rules for farms should carefully consider behavioral dynamics in policy design to achieve water quality goals

If we assess, will they learn? Students’ perspectives on the complexities of assessment-for-learning

Introduction: Assessment can positively influence learning, however designing effective assessment-for-learning interventions has proved challenging. We implemented a mandatory assessment-for-learning system comprising a workplace-based assessment of non-medical expert competencies and a progress test in undergraduate medical education and evaluated its impact. Methods: We conducted semi-structured interviews with year-3 and 4 medical students at McGill University to explore how the assessment system had influenced their learning in year 3. We conducted theory-informed thematic analysis of the data. Results: Eleven students participated, revealing that the assessment influenced learning through several mechanisms. Some required little student engagement (i.e., feed-up, test-enhanced learning, looking things up after an exam). Others required substantial engagement (e.g., studying for tests, selecting raters for quality feedback, using feedback). Student engagement was moderated by the perceived credibility of the system and of the costs and benefits of engagement. Credibility was shaped by students’ goals-in-context: becoming a good doctor, contributing to the healthcare team, succeeding in assessments. Discussion: Our assessment system failed to engage students enough to leverage its full potential. We discuss the inherent flaws and external factors that hindered student engagement. Assessment designers should leverage easy-to-control mechanisms to support assessment-for-learning and anticipate significant collaborative work to modify learning cultures

Evaluation of TypeSeq, a Novel High-Throughput, Low-Cost, Next-Generation Sequencing-Based Assay for Detection of 51 Human Papillomavirus Genotypes.

BackgroundHuman papillomaviruses (HPV) cause over 500 000 cervical cancers each year, most of which occur in low-resource settings. Human papillomavirus genotyping is important to study natural history and vaccine efficacy. We evaluated TypeSeq, a novel, next-generation, sequencing-based assay that detects 51 HPV genotypes, in 2 large international epidemiologic studies.MethodsTypeSeq was evaluated in 2804 cervical specimens from the Study to Understand Cervical Cancer Endpoints and Early Determinants (SUCCEED) and in 2357 specimens from the Costa Rica Vaccine Trial (CVT). Positive agreement and risks of precancer for individual genotypes were calculated for TypeSeq in comparison to Linear Array (SUCCEED). In CVT, positive agreement and vaccine efficacy were calculated for TypeSeq and SPF10-LiPA.ResultsWe observed high overall and positive agreement for most genotypes between TypeSeq and Linear Array in SUCCEED and SPF10-LiPA in CVT. There was no significant difference in risk of precancer between TypeSeq and Linear Array in SUCCEED or in estimates of vaccine efficacy between TypeSeq and SPF10-LiPA in CVT.ConclusionsThe agreement of TypeSeq with Linear Array and SPF10-LiPA, 2 well established standards for HPV genotyping, demonstrates its high accuracy. TypeSeq provides high-throughput, affordable HPV genotyping for world-wide studies of cervical precancer risk and of HPV vaccine efficacy

Does Household Capital Mediate the Uptake of Agricultural Land, Crop, and Livestock Adaptations? Evidence From the Indo-Gangetic Plains (India)

Farmers in the Indo-Gangetic Plains produce much of the wheat and rice grown in India. However, food production and millions of farm-based livelihoods in this region will continue to be adversely affected by hydro-climatic change and variation, reduced land productivity, and declining groundwater levels. Thus, agricultural adaptations are essential for protecting and improving upon intersecting goals of food security, poverty alleviation, and wellbeing. Household “capital” (e.g., natural, human, financial, physical, and social) is commonly cited as an indicator of livelihood adaptability and innovation. We develop a series of mediated structural equation models to empirically evaluate the validity of capital as a suitable indicator for adaptation and adaptive capacity. These models assess the extent to which household capital mediates the relationship between over 1,000 socio-economically differentiated and randomly selected farm households, and their crop, livestock, and land management adaptations in the states of Haryana and Bihar. Central to our models is a single household capital variable, constructed by aggregating nearly 80 different measurements of households\u27 (i) physical/infrastructural capital, (ii) owned or accessed assets, (iii) livelihood diversity, (iv) ability to reach market or commercialize, (v) access to weather information, and (vi) social capital. We find household capital is a significant predictor in adopting crop, land management, and livestock-related adaptation strategies across both states. Second, and in certain cases, lower castes and less educated households engaged in fewer agricultural adaptations—an outcome mediated by their lower composition of capital. Further, and across almost all contexts, household capital mediated the effect of owning a greater proportion of land, and the higher uptake of agricultural adaptation activities. While improvements in any capital category can improve adoption, we recommend programs that improve (i) access to public and private agricultural infrastructure for lower castes; (ii) education and shared knowledge spaces for less-educated households; and (iii) the availability of low-interest loans and the more efficient legal transfer of land for agriculturalists owning a smaller proportion of their land. Through this novel and large-scale analysis of household data, we provide short-term and immediate recommendations for more equitable agricultural adaptation in this breadbasket region of northern India