College of San Mateo Mathematics and Science Teacher Education Program: A Bay Area Collaborative for Excellence in Teacher Preparation with San Jose State University and San Francisco State University

The College of San Mateo (CSM), a community college serving the San Mateo County area of California, is part of a collaborative effort in the San Francisco Bay Area to improve mathematics and science teacher preparation. With funding mainly through the National Science Foundation, the project is locally referred to as the MASTEP Project (Math and Science Teacher Education Program). MASTEP partners include two California State Universities (San Jose State University and San Francisco State University), four community colleges (College of San Mateo, City College of San Francisco, Evergreen Valley Community College, and San Jose City College), selected K-12 schools, and a number of informal educational institutions and local industries. Activities at CSM include recruitment of future math and science teachers through an active future teachers club; tutoring, mentoring and advising through the activities of an integrated science center; and professional development activities and financial support for science and math faculty resulting in their significant involvement in curriculum reform. As a community college, CSM plays a major role in identifying and supporting future teachers and providing these students with courses that are models of effective teaching

ACM bundles on del Pezzo surfaces

ACM rank 1 bundles on del Pezzo surfaces are classified in terms of the rational normal curves that they contain. A complete list of ACM line bundles is provided. Moreover, for any del Pezzo surface $X$ of degree less or equal than six and for any $n\geq 2$ we construct a family of dimension $\geq n-1$ of non-isomorphic simple ACM bundles of rank $n$ on $X$

The 'milk quota rent puzzle' in the EU: economic significance, review and policy relevance

In the so-called Common Agricultural Policy (CAP) 'Health Check' the European Commission has recently proposed gradual transitional measures to allow a 'soft landing' of the milk sector to quota expiry. The aim of this paper is to support policy makers to get better insights in the implications of some of the most important economic assumptions and empirical choices made in partial equilibrium models focusing on dairy. Three partial equilibrium models are considered: the Agricultural Member states MODeling (AGMEMOD) model, the Common Agricultural Policy SIMulation (CAPSIM) model, and the European Dairy Industry Model (EDIM). The paper analyzes how the most important economic supply components, as they are part of the three key dairy models, affect milk production projections. A main conclusion is that the evaluation of the contribution of a study should not be based on one single characteristic (such as quota rents, supply responses). One isolated characteristic is not able to explain finally obtained model outcomes. Quota rents, supply responses, shifters and the demand side have to be integrated with each other

Tidal dynamics on the North Patagonian Argentinean Gulfs

Semidiurnal (M2, S2, N2 and K2), diurnal (K1,O1 and P1) and quarter-diurnal (M4, MN4 and MS4) barotropic tides over the North Patagonian Gulfs of Argentina: San Matías, (SMG), Nuevo (NG) and San José (SJG) are examined using a regional numerical model. Detailed comparison of computed elevations and currents with those obtained from harmonic analysis of few long-term observational records showed good agreement. A large amplification of all semidiurnal waves is recorded when they cross SMG mouth. Most of the tidal energy coming from the south at this frequency dissipates to the northeast of Valdés Península, where the largest tidal currents are located. While M2 currents (up to 2–2.5 m/s) are dominant, there are large S2 and N2 currents and locally intensified diurnal currents (5–10 cm/s) in some outer shelf locations. At difference with the semidiurnal and diurnal tides the higher harmonics M4, MS4 and MN4 develop a large amplification inside the NG. The model revealed a complex field of tidal residual currents. The intensity of such currents in some locations are of the same order of magnitude as those generated by winds or offshore forcing. We have identified three main patterns of residual circulation: regional coastal currents and gulf-wide gyres; inlet eddies and, topographic eddies. Vorticity balances and sensitivity experiments indicate that non-linear advection and bottom topography are the key mechanisms involved in the generation of these residual structures.Fil: Tonini, Mariano Hernan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; ArgentinaFil: Palma, Elbio Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur. Departamento de Física; Argentin

Stacks of uniform cyclic covers of curves and their Picard groups

We study the stack B_{h,g,n} of uniform cyclic covers of degree n between smooth curves of genus h and g and, for h >> g, present it as an open substack of a vector bundle over the universal Jacobian stack of M_g. We use this description to compute the integral Picard group of B_{h,g,n}, showing that it is generated by tautological classes of B_{h,g,n}.Comment: v3: (long overdue) final versio

Modelling the Dairy Farm Size Distribution in Poland Using an Instrumental Variable Generalized Cross Entropy Markov Approach

The aim of this paper is to analyse the evolution of the dairy farm structure of Poland during the post-socialist period. First the paper focuses on how the farm structure has changed over time and what path it is likely to follow in the coming decade. Second, it is tested whether the evolution of farm size is explained by non-stationary effects. Finally, several statistical indicators are computed on farm mobility and on which farms are likely to survive. An instrumental variable generalised cross entropy Markov chain approach which incorporates prior information is applied for estimation. Prior information included general and plausible information on farm mobility and structural adjustments based on independent literature. The projections show that dairy farm numbers will continue to decline, although accompanied by an increase in the number of medium-sized and large farms. Subsistence dairy farms are expected to slowly leave the sector in the coming decade.dairy, farm size, Poland, Markov chain, generalised cross entropy., Livestock Production/Industries,