Rural Education: Attracting and Retaining Teachers in Small Schools

For many small rural school districts across America, the effort to attract and retain quality teachers continues to be a major concern. Schools located in what are considered to be “hard to staff” areas experience the most difficult. While not all communities face the problems of inadequate teacher supply, many small and rural school districts recognize this as a continuing critical issue. A variety of factors contribute to the problems of recruiting and retaining teachers in small and rural school. This article will address the most common causes of high turnover rate among teachers in the rural schools and offer a variety of strategies that may be considered by local school administrators

Adolescent Dating Violence: How Should Schools Respond?

Educational leaders have a substantial degree of control over students and generally have a tremendous influence on the decisions that they make. District administrators are already involved in comprehensive efforts to stem sexual harassment, teen violence and bullying, therefore, they may be well positioned to identify and address the problem of teen dating violence. Unfortunately, school district failure to take action is far too common, despite the statutory duty to ensure the safety of all students during school hours and at school sponsored events. School districts can be held liable for student dating violence under Title IX, under 42 U.S.C. §1983 and under Tort liability

Dating Violence, Don\u27t Ignore It!

Educational leaders have a substantial degree of control over students and generally have a tremendous influence on the decisions that they make. District administrators are already involved in comprehensive efforts to stem sexual harassment, teen violence and bullying; therefore, they may be well positioned to identify and address the problem of teen dating violence. Unfortunately, school district failure to take action is far too common, despite the statutory duty to ensure the safety of all students during school hours and at school sponsored events. School districts can be held liable for student dating violence under Title IX, under 42 U.S.C. §1983 and under Tort liability

Suppression of eukaryotic initiation factor 4E prevents chemotherapy-induced alopecia

BACKGROUND: Chemotherapy-induced hair loss (alopecia) (CIA) is one of the most feared side effects of chemotherapy among cancer patients. There is currently no pharmacological approach to minimize CIA, although one strategy that has been proposed involves protecting normal cells from chemotherapy by transiently inducing cell cycle arrest. Proof-of-concept for this approach, known as cyclotherapy, has been demonstrated in cell culture settings. METHODS: The eukaryotic initiation factor (eIF) 4E is a cap binding protein that stimulates ribosome recruitment to mRNA templates during the initiation phase of translation. Suppression of eIF4E is known to induce cell cycle arrest. Using a novel inducible and reversible transgenic mouse model that enables RNAi-mediated suppression of eIF4E in vivo, we assessed the consequences of temporal eIF4E suppression on CIA. RESULTS: Our results demonstrate that transient inhibition of eIF4E protects against cyclophosphamide-induced alopecia at the organismal level. At the cellular level, this protection is associated with an accumulation of cells in G1, reduced apoptotic indices, and was phenocopied using small molecule inhibitors targeting the process of translation initiation. CONCLUSIONS: Our data provide a rationale for exploring suppression of translation initiation as an approach to prevent or minimize cyclophosphamide-induced alopecia.1U01 CA168409 - NCI NIH HHS; P01 CA 87497 - NCI NIH HHS; P30 CA008748 - NCI NIH HHS; MOP-106530 - Canadian Institutes of Health Research; P01 CA013106 - NCI NIH HH

Repeat courses of intravenous alefacept in patients with chronic plaque psoriasis provide consistent safety and efficacy

Background Psoriasis is a chronic, relapsing skin disease that may require multiple treatment courses. Alefacept targets the memory T cells implicated in psoriasis pathogenesis. This open-label study evaluated the safety and tolerability, efficacy, and pharmacodynamics of repeat courses of alefacept in men and women with chronic plaque psoriasis. This article reports the interim results of this ongoing study. Methods Patients ( n  = 174) who participated in previous phase II studies of alefacept were included in this retreatment study. Intravenous alefacept (7.5 mg) was administered once weekly for 12 weeks followed by 12 weeks of observation. Initial and subsequent retreatment courses were only given when, in the opinion of the investigators, disease had returned and necessitated treatment; CD4 + T-cell counts had to be at or above the lower limit of normal. Results Adverse events were similar regardless of the retreatment course. No opportunistic infections, rebound of disease, or flares were reported. Low titers of anti-alefacept antibodies occurred in a few patients without related safety issues. Sixty-six per cent of patients achieved a ≥ 50% reduction in the Psoriasis Area and Severity Index (PASI) at any time after the first dose of retreatment course 1. Patients who received two retreatment courses ( n  = 50) had consistent or improved responses after the second course; 64% and 68% of these patients achieved a ≥ 50% PASI improvement at any time after the first dose of retreatment courses 1 and 2, respectively. Alefacept selectively reduced memory T cells without cumulative effects. Conclusions Repeat courses of alefacept were well tolerated, and subsequent retreatment courses were at least as effective as the initial course of therapy.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/65825/1/j.1365-4362.2003.01793.x.pd

Efficient Recognition of Partially Visible Objects Using a Logarithmic Complexity Matching Technique

An important task in computer vision is the recognition of partially visible two-dimensional objects in a gray scale image. Recent works addressing this problem have attempted to match spatially local features from the image to features generated by models of the objects. However, many algo rithms are considerably less efficient than they might be, typ ically being O(IN) or worse, where I is the number offeatures in the image and N is the number of features in the model set. This is invariably due to the feature-matching portion of the algorithm. In this paper we discuss an algorithm that significantly improves the efficiency offeature matching. In addition, we show experimentally that our recognition algo rithm is accurate and robust. Our algorithm uses the local shape of contour segments near critical points, represented in slope angle-arclength space (θ-s space), as fundamental fea ture vectors. These feature vectors are further processed by projecting them onto a subspace in θ-s space that is obtained by applying the Karhunen-Loève expansion to all such fea tures in the set of models, yielding the final feature vectors. This allows the data needed to store the features to be re duced, while retaining nearly all information important for recognition. The heart of the algorithm is a technique for performing matching between the observed image features and the precomputed model features, which reduces the runtime complexity from O(IN) to O(I log I + I log N), where I and N are as above. The matching is performed using a tree data structure, called a kD tree, which enables multidi mensional searches to be performed in O(log) time.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/66975/2/10.1177_027836498900800608.pd