Leading the Leaders: The Redesign of an EdD Program to Prepare Superintendents to Serve North Carolina Schools

This article describes how East Carolina University’s Doctor of Education (EdD) program has undergone a dramatic redesign over the past decade to better prepare PK-12 administrators for the challenges of 21st century school district leadership, with an emphasis on superintendency. Explored are the impetus for the redesign, resulting in renewed emphasis on service, the development of signature pedagogies that better engage students, and evidence of the success of subsequent program graduates. Included are the specific steps – and missteps – taken by faculty to advance program redesign, the balance achieved between theory and practice, and accompanying reflections. Students are now engaged and challenged from candidate selection in the admissions process to post-graduation opportunities for dissemination of scholarly practitioner research. This insight into and reflection upon the program’s challenges, growth, and subsequent outcomes is intended to help colleagues at other institutions considering an EdD redesign to prepare effective, high-quality public school superintendents and district administrators

Long-range Acoustic Interactions in Insect Swarms: An Adaptive Gravity Model

The collective motion of groups of animals emerges from the net effect of the interactions between individual members of the group. In many cases, such as birds, fish, or ungulates, these interactions are mediated by sensory stimuli that predominantly arise from nearby neighbors. But not all stimuli in animal groups are short range. Here, we consider mating swarms of midges, which interact primarily via long-range acoustic stimuli. We exploit the similarity in form between the decay of acoustic and gravitational sources to build a model for swarm behavior. By accounting for the adaptive nature of the midges' acoustic sensing, we show that our "adaptive gravity" model makes mean-field predictions that agree well with experimental observations of laboratory swarms. Our results highlight the role of sensory mechanisms and interaction range in collective animal behavior. The adaptive interactions that we present here open a new class of equations of motion, which may appear in other biological contexts.Comment: 25 pages, 15 figure

Long-Range Acoustic Interactions in Insect Swarms: An Adaptive Gravity Model

The collective motion of groups of animals emerges from the net effect of the interactions between individual members of the group. In many cases, such as birds, fish, or ungulates, these interactions are mediated by sensory stimuli that predominantly arise from nearby neighbors. But not all stimuli in animal groups are short range. Here, we consider mating swarms of midges, which are thought to interact primarily via long-range acoustic stimuli. We exploit the similarity in form between the decay of acoustic and gravitational sources to build a model for swarm behavior. By accounting for the adaptive nature of the midges\u27 acoustic sensing, we show that our \u27adaptive gravity\u27 model makes mean-field predictions that agree well with experimental observations of laboratory swarms. Our results highlight the role of sensory mechanisms and interaction range in collective animal behavior. Additionally, the adaptive interactions that we present here open a new class of equations of motion, which may appear in other biological contexts

Scara1 deficiency impairs clearance of soluble Amyloid-β by mononuclear phagocytes and accelerates Alzheimer’s-like disease progression

In Alzheimer’s disease soluble amyloid beta (sAβ) causes synaptic dysfunction and neuronal loss. Receptors involved in clearance of sAβ are not known. Here we use shRNA screening and identify the scavenger receptor Scara1 as a receptor for sAβ expressed on myeloid cells. To determine the role of Scara1 in clearance of sAβ in vivo, we cross Scara1 null mice with PS1-APP mice, a mouse model of Alzheimer’s disease and generate PS1-APP- Scara1-deficient mice. Scara1 deficiency markedly accelerates Aβ accumulation leading to increased mortality. In contrast, pharmacological upregulation of Scara1 expression on mononuclear phagocytes increases Aβ clearance. This approach is a potential treatment strategy for Alzheimer’s disease

Scara1 deficiency impairs clearance of soluble Amyloid-β by mononuclear phagocytes and accelerates Alzheimer’s-like disease progression

In Alzheimer’s disease soluble amyloid beta (sAβ) causes synaptic dysfunction and neuronal loss. Receptors involved in clearance of sAβ are not known. Here we use shRNA screening and identify the scavenger receptor Scara1 as a receptor for sAβ expressed on myeloid cells. To determine the role of Scara1 in clearance of sAβ in vivo, we cross Scara1 null mice with PS1-APP mice, a mouse model of Alzheimer’s disease and generate PS1-APP- Scara1-deficient mice. Scara1 deficiency markedly accelerates Aβ accumulation leading to increased mortality. In contrast, pharmacological upregulation of Scara1 expression on mononuclear phagocytes increases Aβ clearance. This approach is a potential treatment strategy for Alzheimer’s disease

UBVRI Light Curves of 44 Type Ia Supernovae

We present UBVRI photometry of 44 type-Ia supernovae (SN Ia) observed from 1997 to 2001 as part of a continuing monitoring campaign at the Fred Lawrence Whipple Observatory of the Harvard-Smithsonian Center for Astrophysics. The data set comprises 2190 observations and is the largest homogeneously observed and reduced sample of SN Ia to date, nearly doubling the number of well-observed, nearby SN Ia with published multicolor CCD light curves. The large sample of U-band photometry is a unique addition, with important connections to SN Ia observed at high redshift. The decline rate of SN Ia U-band light curves correlates well with the decline rate in other bands, as does the U-B color at maximum light. However, the U-band peak magnitudes show an increased dispersion relative to other bands even after accounting for extinction and decline rate, amounting to an additional ~40% intrinsic scatter compared to B-band.Comment: 84 authors, 71 pages, 51 tables, 10 figures. Accepted for publication in the Astronomical Journal. Version with high-res figures and electronic data at http://astron.berkeley.edu/~saurabh/cfa2snIa

Atomic force microscopy studies of bioprocess engineering surfaces - imaging, interactions and mechanical properties mediating bacterial adhesion

The detrimental effect of bacterial biofilms on process engineering surfaces is well documented. Thus, interest in the early stages of bacterial biofilm formation; in particular bacterial adhesion and the production of anti-fouling coatings has grown exponentially as a field. During this time, Atomic force microscopy (AFM) has become an essential tool for the evaluation of bacterial adhesion. Due to its versatility AFM offers not only insight into the topographical landscape and mechanical properties of the engineering surfaces, but elucidates, through direct quantification the topographical and biomechnical properties of the foulants The aim of this paper is to collate the current research on bacterial adhesion, both theoretical and practical, and outline how AFM as a technique is uniquely equipped to provide further insight into the nanoscale world at the bioprocess engineering surface