The Lawrence clay of Lawrence County

In cooperation with The Ohio State University Engineering Experiment Station and the Ironton Chamber of Commerce.Published also as Bulletin 67 of the Engineering Experiment Station, The Ohio State University

CRAF phase 1, a framework to identify coastal hotspots to storm impacts

Low-frequency high-impact storms can cause flood and erosion over large coastal areas, which in turn can lead to a significant risk to coastal occupation, producing devastation and immobilising cities and even countries. It is therefore paramount to evaluate risk along the coast at a regional scale through the identification of storm impact hotspots. The Coastal Risk Assessment Framework Phase 1 (CRAF1) is a screening process based on a coastal-index approach that assesses the potential exposure of every kilometre along the coast to previously identified hazards. CRAF1 integrates both hazard (e.g. overwash, erosion) and exposure indicators to create a final Coastal Index (CI). The application of CRAF1 at two contrasting case studies (Ria Formosa, Portugal and the Belgian coast), validated against existing information, demonstrates the utility and reliability of this framework on the identification of hotspots. CRAF1 represents a powerful and useful instrument for coastal managers and/or end-users to identify and rank potential hotspot areas in order to define priorities and support disaster reduction plans

HOW TO DEVELOP AND USE CONCEPT INVENTORIES IN BIOLOGY

Scientific teaching is based on the principle that teaching should be conducted with the same rigor as scientific research. Concept inventories are multiple choice questions which assess student understanding and expose misconceptions in key concepts in an area of study (Redish, 2000). Validated concept inventories (Adams and Wieman, 2010) are useful tools in scientific teaching for assessing student gains in conceptual understanding and for comparing the effectiveness of different teaching strategies. Although published concept inventories currently exist for a number of biological topics there are still many gaps. However, there is increasing consensus for the steps that should be taken to develop a validated concept inventory. In this workshop you will participate in the process of developing concept inventories using as examples the challenging topics of meiosis and speciation. You will also work in small groups to come up with exercises that you can use with your students to improve their learning gains. In addition we will discuss ways to share concept inventories and the data they generate. References Adams W .and Wieman C. 2010. Development and validation of instruments to measure learning of expert-like thinking. International Journal of Science Education. Redish, E. F. (2000). Discipline-based education and education research: the case of physics. J. Appl. Dev. Psychol. 21, 85–96

Metabolism of 5'-nucleotide monosaccharides in inflammatory connective tissue

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/33223/1/0000613.pd

A constant and similar assembly defect of mitochondrial respiratory chain complex I allows rapid identification of NDUFS4 mutations in patients with Leigh syndrome

AbstractIsolated complex I deficiency is a frequent cause of respiratory chain defects in childhood. In this study, we report our systematic approach with blue native PAGE (BN-PAGE) to study mitochondrial respiratory chain assembly in skin fibroblasts from patients with Leigh syndrome and CI deficiency. We describe five new NDUFS4 patients with a similar and constant abnormal BN-PAGE profile and present a meta-analysis of the literature. All NDUFS4 mutations that have been tested with BN-PAGE result in a constant and similar abnormal assembly profile with a complete loss of the fully assembled complex I usually due to a truncated protein and the loss of its canonical cAMP dependent protein kinase phosphorylation consensus site. We also report the association of abnormal brain MRI images with this characteristic BN-PAGE profile as the hallmarks of NDUFS4 mutations and the first founder NDUFS4 mutations in the North-African population

Frequency of neoplasia in systemic lupus erythematosus and rheumatoid arthritis

A patient population admitted to the hospital for either SLE or RA was surveyed for the subsequent development of neoplasms. The frequency of neoplasm in SLE patients appeared to be exaggerated, whereas the frequency of subsequent neoplasm in rheumatoid patients was unexpectedly low. A paucity of nephritis in the SLE group was noted. Further reports are encouraged so that the magnitude of the risk of malignancy developing with immunosuppressive therapy can be more precisely ascertained.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/37730/1/1780190605_ftp.pd

Verification of Prognostic Algorithms to Predict Remaining Flying Time for Electric Unmanned Vehicles

This paper addresses the problem of building trust in the online prediction of a eUAVs remaining available flying time powered by lithium-ion polymer batteries. A series of ground tests are described that make use of an electric unmanned aerial vehicle (eUAV) to verify the performance of remaining flying time predictions. The algorithm verification procedure described is implemented on a fully functional vehicle that is restrained to a platform for repeated run-to-functional-failure (charge depletion) experiments. The vehicle under test is commanded to follow a predefined propeller RPM profile in order to create battery demand profiles similar to those expected during flight. The eUAV is repeatedly operated until the charge stored in powertrain batteries falls below a specified limit threshold. The time at which the limit threshold on battery charge is crossed is then used to measure the accuracy of the remaining flying time prediction. In our earlier work battery aging was not included. In this work we take into account aging of the batteries where the parameters were updated to make predictions. Accuracy requirements are considered for an alarm that warns operators when remaining flying time is estimated to fall below the specified limit threshold