Optimization of the sampling scheme for maps of physical and chemical properties estimated by kriging

The sampling scheme is essential in the investigation of the spatial variability of soil properties in Soil Science studies. The high costs of sampling schemes optimized with additional sampling points for each physical and chemical soil property, prevent their use in precision agriculture. The purpose of this study was to obtain an optimal sampling scheme for physical and chemical property sets and investigate its effect on the quality of soil sampling. Soil was sampled on a 42-ha area, with 206 geo-referenced points arranged in a regular grid spaced 50 m from each other, in a depth range of 0.00-0.20 m. In order to obtain an optimal sampling scheme for every physical and chemical property, a sample grid, a medium-scale variogram and the extended Spatial Simulated Annealing (SSA) method were used to minimize kriging variance. The optimization procedure was validated by constructing maps of relative improvement comparing the sample configuration before and after the process. A greater concentration of recommended points in specific areas (NW-SE direction) was observed, which also reflects a greater estimate variance at these locations. The addition of optimal samples, for specific regions, increased the accuracy up to 2 % for chemical and 1 % for physical properties. The use of a sample grid and medium-scale variogram, as previous information for the conception of additional sampling schemes, was very promising to determine the locations of these additional points for all physical and chemical soil properties, enhancing the accuracy of kriging estimates of the physical-chemical properties.

Cut-off importance sampling of bole volume

Summary

Molecular epidemiology of methicillin-resistant Staphylococcus aureus in Switzerland: sampling only invasive isolates does not allow a representative description of the local diversity of clones.

We conducted a molecular study of MRSA isolated in Swiss hospitals, including the first five consecutive isolates recovered from blood cultures and the first ten isolates recovered from other sites in newly identified carriers. Among 73 MRSA isolates, 44 different double locus sequence typing (DLST) types and 32 spa types were observed. Most isolates belonged to the NewYork/Japan, the UK-EMRSA-15, the South German and the Berlin clones. In a country with a low to moderate MRSA incidence, inclusion of non-invasive isolates allowed a more accurate description of the diversity.

State of Iowa Long-Term Economic Recovery Strategy Prepared for the Economic Development Administration, U.S. Department of Commerce, October 2010

The Rebuild Iowa Office (RIO) continues to coordinate the state‘s recovery effort from the storms, tornadoes and floods of 2008. Much has been accomplished since the Office‘s last quarterly report was issued in July 2010. State funding has been disbursed to help Iowans with unmet needs and housing. Local governments and entities are utilizing millions of federal dollars so thousands of disaster-impacted homeowners can be offered a buyout. More infrastructure projects are under construction and new neighborhoods are being built with mitigation efforts in mind. However, as Iowa continues to celebrate many successes along the road to recovery, it must also address the numerous challenges that are encountered along the path. Recovering from the state‘s largest disaster must be looked at as a marathon, not a sprint. Over the past three months, the RIO has especially remained focused on helping small business owners impacted by the 2008 disasters. Many disaster-affected businesses have reopened their doors, however their debt load continues to be overwhelming and many still struggle with the timeliness of the disbursement of funds. This report describes how programs and recent modifications are working to assist recovering businesses. This report contains updates on housing progress while outlining the complexities behind certain programs and the bottlenecks communities are facing due to strict federal guidelines for implementation. This following pages also describe how Iowa is implementing Smart Planning principles, publicizing flood awareness through outreach efforts and preparing a blueprint for the state to follow when future disasters occur. As always, the RIO recognizes and thanks the countless leaders and front-line workers from local, regional, state and federal government, businesses, non-profit organizations and private citizens that have provided input, support and leadership. Their dedication to Iowa‘s disaster recovery has made the plans and projects on the following pages possible.

Rebuild Iowa Office Transition Strategy, December 2010

The closing of the RIO does not mean that the recovery process is complete for Iowa families and communities. The recovery process will continue for many years to come, and the Rebuild Iowa Transition Strategy has been drafted to provide a comprehensive set of recommended action steps to help the state complete long-term recovery efforts while better preparing the state for future disasters. This report begins with a review of the twelve major Rebuild Iowa Advisory Commission (RIAC) recommendations which have guided RIO’s work, followed by a summary of the major accomplishments toward each recommendation. Complete, detailed information on all the work that has been accomplished toward the RIAC recommendations can be found in the RIO’s Quarterly Reports. The identification of remaining needs and issues serves as the basis for the transition strategy.

Iowa’s Drug Control Strategy, 2008

The 2011 Iowa Drug Control Strategy is submitted in satisfaction of Chapter 80E.1 of the Code of Iowa which directs the Drug Policy Coordinator to monitor and coordinate all drug prevention, enforcement and treatment activities in the state. Further, it requires the Coordinator to submit an annual report to the Governor and Legislature concerning the activities and programs of the Coordinator, the Governor’s Office of Drug Control Policy and all other state departments with drug enforcement, substance abuse treatment, and prevention programs. Chapter 80E.2 establishes the Drug Policy Advisory Council (DPAC), chaired by the Coordinator, and consisting of a prosecuting attorney, substance abuse treatment specialist, law enforcement officer, prevention specialist, judge and representatives from the departments of corrections, education, public health, human services, public safety and human rights. This report and strategy was developed in consultation with the DPAC.

Iowa’s Drug Control Strategy, 2010

The 2011 Iowa Drug Control Strategy is submitted in satisfaction of Chapter 80E.1 of the Code of Iowa which directs the Drug Policy Coordinator to monitor and coordinate all drug prevention, enforcement and treatment activities in the state. Further, it requires the Coordinator to submit an annual report to the Governor and Legislature concerning the activities and programs of the Coordinator, the Governor’s Office of Drug Control Policy and all other state departments with drug enforcement, substance abuse treatment, and prevention programs. Chapter 80E.2 establishes the Drug Policy Advisory Council (DPAC), chaired by the Coordinator, and consisting of a prosecuting attorney, substance abuse treatment specialist, law enforcement officer, prevention specialist, judge and representatives from the departments of corrections, education, public health, human services, public safety and human rights. This report and strategy was developed in consultation with the DPAC.

Iowa’s Drug Control Strategy, 2012

The 2011 Iowa Drug Control Strategy is submitted in satisfaction of Chapter 80E.1 of the Code of Iowa which directs the Drug Policy Coordinator to monitor and coordinate all drug prevention, enforcement and treatment activities in the state. Further, it requires the Coordinator to submit an annual report to the Governor and Legislature concerning the activities and programs of the Coordinator, the Governor’s Office of Drug Control Policy and all other state departments with drug enforcement, substance abuse treatment, and prevention programs. Chapter 80E.2 establishes the Drug Policy Advisory Council (DPAC), chaired by the Coordinator, and consisting of a prosecuting attorney, substance abuse treatment specialist, law enforcement officer, prevention specialist, judge and representatives from the departments of corrections, education, public health, human services, public safety and human rights. This report and strategy was developed in consultation with the DPAC.

Iowa’s Drug Control Strategy, 2009

The 2011 Iowa Drug Control Strategy is submitted in satisfaction of Chapter 80E.1 of the Code of Iowa which directs the Drug Policy Coordinator to monitor and coordinate all drug prevention, enforcement and treatment activities in the state. Further, it requires the Coordinator to submit an annual report to the Governor and Legislature concerning the activities and programs of the Coordinator, the Governor’s Office of Drug Control Policy and all other state departments with drug enforcement, substance abuse treatment, and prevention programs. Chapter 80E.2 establishes the Drug Policy Advisory Council (DPAC), chaired by the Coordinator, and consisting of a prosecuting attorney, substance abuse treatment specialist, law enforcement officer, prevention specialist, judge and representatives from the departments of corrections, education, public health, human services, public safety and human rights. This report and strategy was developed in consultation with the DPAC.

A clinical pattern-based etiological diagnostic strategy for sensory neuronopathies: a French collaborative study.

Sensory neuronopathies (SNNs) encompass paraneoplastic, infectious, dysimmune, toxic, inherited, and idiopathic disorders. Recently described diagnostic criteria allow SNN to be differentiated from other forms of sensory neuropathy, but there is no validated strategy based on routine clinical investigations for the etiological diagnosis of SNN. In a multicenter study, the clinical, biological, and electrophysiological characteristics of 148 patients with SNN were analyzed. Multiple correspondence analysis and logistic regression were used to identify patterns differentiating between forms of SNNs with different etiologies. Models were constructed using a study population of 88 patients and checked using a test population of 60 cases. Four patterns were identified. Pattern A, with an acute or subacute onset in the four limbs or arms, early pain, and frequently affecting males over 60 years of age, identified mainly paraneoplastic, toxic, and infectious SNN. Pattern B identified patients with progressive SNN and was divided into patterns C and D, the former corresponding to patients with inherited or slowly progressive idiopathic SNN with severe ataxia and electrophysiological abnormalities and the latter to patients with idiopathic, dysimmune, and sometimes paraneoplastic SNN with a more rapid course than in pattern C. The diagnostic strategy based on these patterns correctly identified 84/88 and 58/60 patients in the study and test populations, respectively.