Monitoring and predicting crop growth and analysing agricultural ecosystems by remote sensing

Selostus: Maatalousekosysteemien analysointi ja sadon ennustaminen kaukokartoituksen avulla

Breast-conserving surgery for non-palpable breast cancer: relationship of lumpectomy resection margins measurements between remote perioperative ultrasound and postoperative histopathology

Purpose: Tumour-free resection margins (RMs) are mandatory in breast-conserving surgery. On-site intraoperative ultrasound (US)-guided tumour resection with extemporaneous histopathological assessment of RMs has been described. Remote intraoperative US assessment of RMs is an alternative. The purpose of this study was to evaluate the relationship of lumpectomy RMs measurements between remote intraoperative US and postoperative histopathology.Methods and Materials: In a retrospective IRB-approved review of 100 consecutive lumpectomies performed between October 2009 and April 2011 for presumed non-palpable breast cancer, 71 women (mean age 63.8years) were included. Twenty-nine patients were excluded because of absence of cancer at histopathology and/or incomplete data. Measurements of lumpectomy minimal RMs and tumour maximal diameter obtained on remote intraoperative US and postoperative histopathology were compared.Results: Minimal RMs were 0.35±0.32 (mean±SD) and 0.35±0.32cm on remote intraoperative US and postoperative histopathology, respectively. No significant difference was found between these measurements (p=0.37). Tumour maximal diameter was 1.02±0.51 (mean±SD) and 1.33±0.74cm on remote intraoperative US and postoperative histopathology, respectively. US measurements were significantly smaller (p<0.001). The 71 breast carcinoma (CA) consisted of: invasive canalar (n=49), invasive lobular (n=11), in situ (n=3) and other types of CA (n=8). Twenty-nine patients had intraoperative re-excision (24 without residual CA), while 16 patients were re-operated due to insufficient histopathological RMs (12 without residual CA).Conclusion: Good correlation of minimal RMs between remote intraoperative US and postoperative histopathology warrants use of both techniques in a complementary manner. Remote intraoperative US is helpful in taking rapid decision of re-excision and maintaining low re-operation rate after breast-conserving surgery for non-palpable cancer.

Status Report Midwest Regional Rail Passenger Initiative and Passenger Rail Service in Iowa, February 1, 2012

This report fulfills the requirements of the following Code of Iowa Sections: Section 327J.3(1): “The director may expend moneys from the fund to pay the costs associated with the initiation, operation, and maintenance of rail passenger service. The director shall report by February 1 of each year to the legislative services agency concerning the status of the fund including anticipated expenditures for the following fiscal year.” Section 327J.3(5): "The director shall report annually to the general assembly concerning the development and operation of the midwest regional rail system and the state's passenger rail service."

Audit report of the accompanying Schedule of Debt Service and Coverage for Iowa State University of Science and Technology as of February 10, 2012 for the Athletic Facilities Revenue Bond Funds

Audit report of the accompanying Schedule of Debt Service and Coverage for Iowa State University of Science and Technology as of February 10, 2012 for the Athletic Facilities Revenue Bond Funds

Estimation of soil moisture in the root-zone from remote sensing data

Field-based soil moisture measurements are cumbersome. Thus, remote sensing techniques are needed because allows field and landscape-scale mapping of soil moisture depth-averaged through the root zone of existing vegetation. The objective of the study was to evaluate the accuracy of an empirical relationship to calculate soil moisture from remote sensing data of irrigated soils of the Apodi Plateau, in the Brazilian semiarid region. The empirical relationship had previously been tested for irrigated soils in Mexico, Egypt, and Pakistan, with promising results. In this study, the relationship was evaluated from experimental data collected from a cotton field. The experiment was carried out in an area of 5 ha with irrigated cotton. The energy balance and evaporative fraction (Λ) were measured by the Bowen ratio method. Soil moisture (θ) data were collected using a PR2 - Profile Probe (Delta-T Devices Ltd). The empirical relationship was tested using experimentally collected Λ and θ values and was applied using the Λ values obtained from the Surface Energy Balance Algorithm for Land (SEBAL) and three TM - Landsat 5 images. There was a close correlation between measured and estimated θ values (p<0.05, R² = 0.84) and there were no significant differences according to the Student t-test (p<0.01). The statistical analyses showed that the empirical relationship can be applied to estimate the root-zone soil moisture of irrigated soils, i.e. when the evaporative fraction is greater than 0.45.

Agency Fact Sheet, Department of Human Services: Comm. Service, FY2009

This document produced by the Iowa Department of Administrative Services has been developed to provide a multitude of information about executive branch agencies/department on a single sheet of paper. The facts provides general information, contact information, workforce data, leave and benefits information and affirmative action data.

Epidémiologie de la psychiatrie de consultation-liaison du Centre Psychosocial Neuchâtelois dans le service de Médecine interne de l'Hôpital de la Chaux-de-Fonds en 1994 et 1998 : Interactions et régulations

Résumé La psychiatrie de consultation-liaison (CL) connaît depuis une décennie un essor majeur en Europe sous l'impulsion des recherches multicentriques du groupe European Consultation Liaison Psychiatry - ECLVV (Huyse). En Suisse, la discipline reste à développer par manque de consultants spécialisés selon le rapport 2000 de l'Association des professeurs titulaires de chaires. Néanmoins une harmonisation progressive des standards européens de documentation et d'évaluation apparaît progressivement, notamment dans les travaux du Service de Psychiatrie de Liaison du Centre Hospitalier Universitaire Vaudois. Afin d'améliorer sa pratique de consultation-liaison qui restait jusqu'alors frustrante par un sentiment de débordement et d'absence de feed-back des interventions, le Centre Psychosocial Neuchâtelois de La Chaux-de-Fonds (CPS) a constitué une base de données informatisée de CL à des fins de recherche-action selon les recommandations du groupe ECLVV. Nous avons comparé les valeurs de prévalence de notre activité de CL dans le service de médecine interne de l'Hôpital de La Chaux-de-Fonds en 1994, année du début de l'informatisation des données du CPS, et en 1998, année des plus récents résultats exploitables. La taille de l'échantillon était de 78 cas pour 1994 et de 108 cas pour 1998. Les résultats de notre étude épidémiologique rétrospective et descriptive montraient une augmentation en volume des demandes de CL, une diversification et une complexification des cas. Cette charge croissante sur la psychiatrie de consultation-liaison s'observait également dans les données de la littérature. La réponse psychiatrique du CPS montrait une modestie de moyens et du pragmatisme dans le style des interventions. Ces dernières étaient essentiellement de nature de psychiatrie générale et d'urgence, focalisée sur les tentatives de suicides. Les tentamens, ici comme ailleurs, restent le noyau dur de toute pratique de psychiatrie à l'hôpital général. L'état de lieu de notre pratique de consultation-liaison issu de ce travail a permis de créer une base de données simplifée étendue à l'ensemble des demandes de consultation au CPS afin de réguler le flux de toutes ses interventions face aux demandes toujours croissantes. Dans ce sens, notre étude a montré la nécessité de formaliser les demandes de consultation psychiatrique à l'hôpital général afin d'optimaliser les réponses des consultants.

Agency Fact Sheet, Department of Human Services: Comm. Service, FY2011

This document produced by the Iowa Department of Administrative Services has been developed to provide a multitude of information about executive branch agencies/department on a single sheet of paper. The facts provides general information, contact information, workforce data, leave and benefits information and affirmative action data.

Audit report on the Appanoose County Service Agency in Centerville, Iowa for the year ended June 30, 2011

Audit report on the Appanoose County Service Agency in Centerville, Iowa for the year ended June 30, 2011

Title IV-B Child and Family Service Plan: Annual Progress and Service Report, June 2005

The development of the Five Year Child and Family Service Plan for fiscal years 2005-2009 was based on information in the Final Report for fiscal years 2000-2004, and Iowa’s CFSR, as well as input from stakeholders and the public gathered through the CFSR and the Better Results for Kids redesign.

Title IV-B Child and Family Service Plan 2010 Annual Progress and Service Report, June 2010

In June 2009, the Iowa Department of Human Service (IDHS) developed a Child and Family Service Plan (CFSP) that sets forth the Department’s vision and goals to be accomplished for FYs 2010 through 2014. The purpose of the CFSP is to strengthen the States’ overall child welfare system and to facilitate the state’s integration of the programs that serve children and families into a comprehensive and continuum array of child welfare services from prevention and protection through permanency. These programs include title IV-B, subparts 1 and 2 of the Act, the Child Abuse Prevention and Treatment Act (CAPTA), the Chafee Foster Care Independence Program (CFCIP), and the Education and Training Vouchers (ETV) programs for older and/or former foster care youth. IDHS administers the IV-B, CAPTA, CFCIP and the ETV programs described within Iowa’s CFSP. Iowa’s Annual Progress and Services Report (APSR) provides an annual update on the progress made toward accomplishing the goals and objectives identified in the state’s CFSP for the previous fiscal year (2009-2010) and the planned activities for next fiscal year (2010-2011) .

Putting Public Service Motivation into Context. A Balance Between Universalism and Particularism

Research on Public Service Motivation (PSM) has increased enormously in the last 20 years. Besides the analysis of the antecedents of PSM and its impact on organizations and individuals, many open questions about the nature of PSM itself still remain. This article argues that the theoretical construct of PSM should be contextualized by integrating the political and administrative contexts of public servants when investigating their specific attitudes towards working in a public environment. It also challenges the efficacy of the classic four-dimensional structure of PSM when it is applied to a specific context. The findings of a confirmatory factor analysis from a dataset of 3754 employees of 279 Swiss municipalities support the appropriateness of contextualizing parts of the PSM construct. They also support the addition of an extra dimension called, according to previous research, Swiss democratic governance. With regard to our results, there is a need for further PSM research to set a definite measure of PSM, particularly in regard to the international diffusion of empirical research on PSM.Points for practitionersThis study shows that public service motivation is a relevant construct for practitioners and may be used to better assess whether public agents are motivated by values or not. Nevertheless, it stresses also that the measurement of PSM must be adapted to the institutional context as well. Public managers interested in understanding better the degree to which their employees are motivated by public values must be aware that the measurement of this PSM construct has to be contextualized. In other words, PSM is also a function of the institutional environment in which organizations operate.

Audit report on the South Central Iowa Regional E-911 Service Board for the year ended June 30, 2011

Audit report on the South Central Iowa Regional E-911 Service Board for the year ended June 30, 2011

Advanced Kernel Methods For Remote Sensing Image Classification

Résumé Suite aux recentes avancées technologiques, les archives d'images digitales ont connu une croissance qualitative et quantitative sans précédent. Malgré les énormes possibilités qu'elles offrent, ces avancées posent de nouvelles questions quant au traitement des masses de données saisies. Cette question est à la base de cette Thèse: les problèmes de traitement d'information digitale à très haute résolution spatiale et/ou spectrale y sont considérés en recourant à des approches d'apprentissage statistique, les méthodes à noyau. Cette Thèse étudie des problèmes de classification d'images, c'est à dire de catégorisation de pixels en un nombre réduit de classes refletant les propriétés spectrales et contextuelles des objets qu'elles représentent. L'accent est mis sur l'efficience des algorithmes, ainsi que sur leur simplicité, de manière à augmenter leur potentiel d'implementation pour les utilisateurs. De plus, le défi de cette Thèse est de rester proche des problèmes concrets des utilisateurs d'images satellite sans pour autant perdre de vue l'intéret des méthodes proposées pour le milieu du machine learning dont elles sont issues. En ce sens, ce travail joue la carte de la transdisciplinarité en maintenant un lien fort entre les deux sciences dans tous les développements proposés. Quatre modèles sont proposés: le premier répond au problème de la haute dimensionalité et de la redondance des données par un modèle optimisant les performances en classification en s'adaptant aux particularités de l'image. Ceci est rendu possible par un système de ranking des variables (les bandes) qui est optimisé en même temps que le modèle de base: ce faisant, seules les variables importantes pour résoudre le problème sont utilisées par le classifieur. Le manque d'information étiquétée et l'incertitude quant à sa pertinence pour le problème sont à la source des deux modèles suivants, basés respectivement sur l'apprentissage actif et les méthodes semi-supervisées: le premier permet d'améliorer la qualité d'un ensemble d'entraînement par interaction directe entre l'utilisateur et la machine, alors que le deuxième utilise les pixels non étiquetés pour améliorer la description des données disponibles et la robustesse du modèle. Enfin, le dernier modèle proposé considère la question plus théorique de la structure entre les outputs: l'intègration de cette source d'information, jusqu'à présent jamais considérée en télédétection, ouvre des nouveaux défis de recherche. Advanced kernel methods for remote sensing image classification Devis Tuia Institut de Géomatique et d'Analyse du Risque September 2009 Abstract The technical developments in recent years have brought the quantity and quality of digital information to an unprecedented level, as enormous archives of satellite images are available to the users. However, even if these advances open more and more possibilities in the use of digital imagery, they also rise several problems of storage and treatment. The latter is considered in this Thesis: the processing of very high spatial and spectral resolution images is treated with approaches based on data-driven algorithms relying on kernel methods. In particular, the problem of image classification, i.e. the categorization of the image's pixels into a reduced number of classes reflecting spectral and contextual properties, is studied through the different models presented. The accent is put on algorithmic efficiency and the simplicity of the approaches proposed, to avoid too complex models that would not be used by users. The major challenge of the Thesis is to remain close to concrete remote sensing problems, without losing the methodological interest from the machine learning viewpoint: in this sense, this work aims at building a bridge between the machine learning and remote sensing communities and all the models proposed have been developed keeping in mind the need for such a synergy. Four models are proposed: first, an adaptive model learning the relevant image features has been proposed to solve the problem of high dimensionality and collinearity of the image features. This model provides automatically an accurate classifier and a ranking of the relevance of the single features. The scarcity and unreliability of labeled. information were the common root of the second and third models proposed: when confronted to such problems, the user can either construct the labeled set iteratively by direct interaction with the machine or use the unlabeled data to increase robustness and quality of the description of data. Both solutions have been explored resulting into two methodological contributions, based respectively on active learning and semisupervised learning. Finally, the more theoretical issue of structured outputs has been considered in the last model, which, by integrating outputs similarity into a model, opens new challenges and opportunities for remote sensing image processing.