Public school collective bargaining in Kansas: K-NEA perspective

Collective bargaining in the public schools in Kansas will continue to grow

Fast optical switch having reduced light loss

An electrically controlled optical switch uses an electro-optic crystal of the type having at least one set of fast and slow optical axes. The crystal exhibits electric field induced birefringence such that a plane of polarization oriented along a first direction of a light beam passing through the crystal may be switched to a plane of polarization oriented along a second direction. A beam splitting polarizer means is disposed at one end of the crystal and directs a light beam passing through the crystal whose plane of polarization is oriented along the first direction differently from a light beam having a plane of polarization oriented along the second direction. The electro-optic crystal may be chosen from the crystal classes 43m, 42m, and 23. In a preferred embodiment, the electro-optic crystal is a bismuth germanium oxide crystal or a bismuth silicon oxide crystal. In another embodiment of the invention, polarization control optics are provided which transmit substantially all of the incident light to the electro-optic crystal, substantially reducing the insertion loss of the switch

OCIS Public Goods Tool Development

There has recently been an increase in interest amongst policy-makers in the question of whether farming provides a “public good” beyond the simple production of food, which justifies support from, for instance, EU agricultural policy. Benefits such as an improved environment or better water quality can be perceived to be public goods. It is the provision of these sorts of benefits which may be used in the future to justify continued support of the agricultural sector through subsidies. Given the current level of interest in this topic Natural England, with the approval of Defra, through OCIS (Organic Conversion Information Service), wished to create a tool which could be used by an advisor or an informed land owner to assess the public good provided by a/their farm. Thus, the OCIS Public Good Tool was developed

Development and validation of a military fear avoidance questionnaire

Chronic pain due to musculoskeletal injury is one of the leading causes of disability and reduced combat readiness in the U.S. Army. Unidimensional pain management systems are not effective in addressing the complex phenomenon of pain-related disability. Growing evidence has supported use of the Fear Avoidance Model (FAM) as a suitable model to address pain-related disability and chronicity from a multidimensional pain neuroscience approach. While several fear avoidance measurement tools exist, one that addresses the complexity of the Army environment encouraged the authors to develop and test the reliability and validity of a military specific questionnaire. This study developed and validated an Army specific fear avoidance screening, the Return to Duty Readiness Questionnaire (RDRQ), which subsequently demonstrated good psychometric properties. Reliability coefficients demonstrate high internal consistency values both during pilot study (α = 0.96) and validation study (α = 0.94, ωt = 0.94). A Correlation Coefficient of 0.74 when compared with the Fear Avoidance Components Scale (FACS) suggests good concurrent validity. Future study should include replication in a new army population, investigation of responsiveness, test-retest reliability, structural validity and establishing severity scores with minimal clinically important differences to enhance utility

Unreasonable: A Strict Liability Solution to the FTC’s Data Security Problem

For over two decades, the FTC creatively employed its capacious statute to police against shoddy data practices. Although the FTC’s actions were arguably needed at the time to fill a gap in enforcement, there are reasons to believe that its current approach has outlived its usefulness and is in serious need of updating. In particular, our analysis shows that the FTC’s current approach to data security is unlikely to instill anything close to optimal incentives for data holders. These shortcomings cannot be fixed through changes to the FTC enforcement approach, as they are largely generated by a mismatch between the tools that Congress gave it over a century ago and what it needs to foster firms’ incentives to mimic socially optimal levels of care for the data they hold. Not only does the current framework likely suffer from informational deficiencies attendant to its focus on “reasonable” security that render liability standards uncertain, it also lacks the ability to obtain the type of relief that will force firms to internalize the costs of their data security decisions. We examine the problem of data security enforcement through the lens of the economics of optimal precautions and identify several reasons why a strict liability regime administered by the FTC, under which firms pay for the expected harm from breaches they cause, is likely to be superior to the current framework that revolves around the concept of reasonableness. The benefits of strict liability flow from the likelihood that firms do not fully internalize the costs and benefits of their data security decisions and the relatively large informational burdens associated with measuring actual and optimal care under a negligence regime. We also show why in this informational environment, strict liability is better than negligence for developing a vibrant cyber insurance market, allowing for data security regulation to be de facto outsourced to insurers who will contract with firms for optimal levels of care. Because these private contracts will harness private information on costs and benefits from precautions, they are likely to incentivize more efficient behavior