North Central Risk Management Education Center

The North Central Risk Management Education Center has been providing program coordination for extension risk management education in the North Central Region since 2001. During this time, nearly five million dollars has been awarded to public, private and non-profit entities to carry out producer-focused, results-based risk management education programs. The North Central Region includes Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, Ohio, North Dakota, South Dakota and Wisconsin.

Weather Derivatives as a Potential Risk Management Tool for Irrigators

Irrigators in the Republican Basin and in parts of the North Platte Basin must learn to incorporate multiple year drought risk into their management plans, as they adapt to the limitations imposed by five-year pumping allocations. A major concern involves the implications of being water-short during the later years of the allocation period, because of an accumulative rainfall shortage or drought. Currently, producers can either ignore the risk of substantially lower incomes if their allocation is exhausted too soon, or reduce the risk by using less water early in the allocation period. The latter approach, however, may substantially reduce the present value of total net income over the five-year period. Alternatively, in the future it may be possible to use weather derivatives to manage income risk.

Wildlife Risk Management at Vancouver International Airport

The Vancouver International Airport (YVR) is the second busiest airport in Canada. YVR is located on Sea Island in the Fraser River Estuary - a world-class wintering and staging area for hundreds of thousands of migratory birds. The Fraser Delta supports Canada’s largest wintering populations of waterfowl, shorebirds, and raptors. The large number of aircraft movements and the presence of many birds near YVR pose a wide range of considerable aviation safety hazards. Until the late 1980s when a full-time Wildlife Control Program (WCP) was initiated, YVR had the highest number of bird strikes of any Canadian commercial airport. Although the risks of bird strikes associated with the operation of YVR are generally well known by airport managers, and a number of risk assessments have been conducted associated with the Sea Island Conservation Area, no quantitative assessment of risks of bird strikes has been conducted for airport operations at YVR. Because the goal of all airports is to operate safely, an airport wildlife management program strives to reduce the risk of bird strikes. A risk assessment establishes the current risk of strikes, which can be used as a benchmark to focus wildlife control activities and to assess the effectiveness of the program in reducing bird strike risks. A quantitative risk assessment also documents the process and information used in assessing risk and allows the assessment to be repeated in the future in order to measure the change in risk over time in an objective and comparative manner. This study was undertaken to comply with new Canadian legislation expected to take effect in 2006 requiring airports in Canada to conduct a risk assessment and develop a wildlife management plan. Although YVR has had a management plan for many years, it took this opportunity to update the plan and conduct a risk assessment.

Does the neonatal clinical risk for illness severity influence pain reactivity and recovery in preterm infants?

Background: The biobehavioural pain reactivity and recovery of preterm infants in the neonatal period may reflect the capacity of the central nervous system to regulate neurobiological development. Objective: The aim of the present study was to analyse the influence of the neonatal clinical risk for illness severity on biobehavioural pain reactivity in preterm infants. Methods: Fifty-two preterm infants were allocated into two groups according to neonatal severity of illness, as measured by the Clinical Risk Index for Babies (CRIB). The low clinical risk (LCr) group included 30 neonates with CRIB scores <4, and the high clinical risk (HCr) group included 22 neonates with CRIB scores >= 4. Pain reactivity was assessed during a blood collection, which was divided into five phases (baseline, antisepsis, puncture, recovery-dressing and recovery-resting). Behavioral pain reactivity was measured using the scores, and magnitude of responses in Neonatal Facial Coding System (NFCS) and Sleep-Wake States Scale (SWS). The heart rate was continuously recorded. Results: The HCr demonstrated a higher magnitude of response on the SWS score from the baseline to the puncture phase than the LCr. Also, the HCr exhibited a higher mean heart rate and minimum heart rate than the LCr in the recovery-resting phase. In addition, the HCr exhibited a higher minimum heart rate from the baseline to the recovery-resting phase than the LCr. Conclusion: The infants exhibiting a high neonatal clinical risk showed high arousal during the puncture procedure and higher physiological reactivity in the recovery phase.

Social support, socioeconomic and clinical risk: comparison between to neighborhoods in a Brazilian upcountry town

The objective of this study was to compare the perceptions of two families living in two different neighborhoods (rated according to risk levels) regarding social support. A questionnaire was designed to assess social support according to the following dimensions: instrumental, emotional, religious, and support from friends, neighbors and family. The sample was comprised as follows: considering the 114 families living in neighborhood 1, 52 families were interviewed; and among the 162 families living in neighborhood 2, 60 families were interviewed. No significant difference was found related to instrumental, religious and emotional support, including the support from relatives among the families from both neighborhoods. The results disagree with the reviewed literature, which indicated a strong association between social support and families living at socioeconomic risk. In conclusion, social support is important for families, regardless of their risk stratification.

Il risk management tecnico nel trading di portafoglio

Il problema che si cerca di risolvere attraverso la gestione quantitativa del portafoglio è la riduzione del rischio tramite strategie che non dipendano dalla diversificazione dei titoli che compongono il portafoglio. Nel momento in cui si decide di applicare un trading system su un determinato gruppo di asset, il capitale non viene allocato automaticamente su tutti i titoli e si deve affrontare invece un continuo investimento tramite l’apertura dinamica di posizioni sul mercato.Questo significa che la diversificazione non è più una misura adeguata del rischio sostenuto poiché i rendimenti attesi dell’investimento non dipendono più dalle proprietà stesse degli strumenti scelti, ma dalla profittabilità dei segnali generati dalla logica del trading system su questi. Bisogna testare in questo caso le performance del sistema a livello statistico e prevedere anche, per esempio, che l’algoritmo possa generare dei segnali errati che portano a delle posizioni in perdita. Il portafoglio a livello quantitativo deve essere gestito tramite dei trading system che abbiano la possibilità di valutare aspetti globali, come il profitto totale di tutte le posizioni attualmente aperte, o l’intero rischio sostenuto dal capitale gestito. Le decisioni non vengono prese dall’analisi delle prestazioni individuali che la strategia ottiene operando sui singoli titoli. Per affrontare una possibile soluzione a questa problematica si sono quindi selezionati due trading system le cui prestazioni fossero robuste su un intero portafoglio e non solo su determinati titoli. In un successivo momento vengono analizzate le prestazioni del portafoglio aggiungendo ai test due ulteriori strategie di uscita: lo stoploss di portafoglio e il target di portafoglio. Nonostante esse ricalchino idee ampiamente utilizzate per la gestione delle singole posizioni su un titolo, per i test si è deciso di modificarle implementando la gestione globale del capitale all’interno del trading system di portafoglio.

Analisi e riprogettazione del processo di ict risk management: un caso applicativo in Telecom Italia

Questo lavoro di tesi muove da tematiche relative alla sicurezza IT e risulta dagli otto mesi di lavoro all’interno della funzione Technical Security di Telecom Italia Information Technology. Il compito primario di questa unità di business è ridurre il rischio informatico dei sistemi di Telecom Italia per mezzo dell’attuazione del processo di ICT Risk Management, che coinvolge l’intera organizzazione ed è stato oggetto di una riprogettazione nel corso del 2012. Per estendere tale processo a tutti i sistemi informatici, nello specifico a quelli caratterizzati da non conformità, all’inizio del 2013 è stato avviato il Programma Strutturato di Sicurezza, un aggregato di quattro progetti dalla durata triennale particolarmente articolato e complesso. La pianificazione di tale Programma ha visto coinvolto, tra gli altri, il team di cui ho fatto parte, che ha collaborato con Telecom Italia assolvendo alcune delle funzioni di supporto tipiche dei Project Management Office (PMO).

The use of satellite remote sensing for flood risk management

Over the last decades the impact of natural disasters to the global environment is becoming more and more severe. The number of disasters has dramatically increased, as well as the cost to the global economy and the number of people affected. Among the natural disaster, flood catastrophes are considered to be the most costly, devastating, broad extent and frequent, because of the tremendous fatalities, injuries, property damage, economic and social disruption they cause to the humankind. In the last thirty years, the World has suffered from severe flooding and the huge impact of floods has caused hundreds of thousands of deaths, destruction of infrastructures, disruption of economic activity and the loss of property for worth billions of dollars. In this context, satellite remote sensing, along with Geographic Information Systems (GIS), has become a key tool in flood risk management analysis. Remote sensing for supporting various aspects of flood risk management was investigated in the present thesis. In particular, the research focused on the use of satellite images for flood mapping and monitoring, damage assessment and risk assessment. The contribution of satellite remote sensing for the delineation of flood prone zones, the identification of damaged areas and the development of hazard maps was explored referring to selected cases of study.

Impact of single nucleotide polymorphisms and of clinical risk factors on new-onset diabetes mellitus in HIV-infected individuals

Background. Metabolic complications, including cardiovascular events and diabetes mellitus (DM), are a major long-term concern in human immunodeficienc virus (HIV)-infected individuals. Recent genome-wide association studies have reliably associated multiple single nucleotide polymorphisms (SNPs) to DM in the general population. Methods. We evaluated the contribution of 22 SNPs identifie in genome-wide association studies and of longitudinally measured clinical factors to DM. We genotyped all 94 white participants in the Swiss HIV Cohort Study who developed DM from 1 January 1999 through 31 August 2009 and 550 participants without DM. Analyses were based on 6054 person-years of follow-up and 13,922 measurements of plasma glucose. Results. The contribution to DM risk explained by SNPs (14% of DM variability) was larger than the contribution to DM risk explained by current or cumulative exposure to different antiretroviral therapy combinations (3% of DM variability). Participants with the most unfavorable genetic score (representing 12% and 19% of the study population, respectively, when applying 2 different genetic scores) had incidence rate ratios for DM of 3.80 (95% confidenc interval [CI], 2.05–7.06) and 2.74 (95% CI, 1.53–4.88), respectively, compared with participants with a favorable genetic score. However, addition of genetic data to clinical risk factors that included body mass index only slightly improved DM prediction. Conclusions. In white HIV-infected persons treated with antiretroviral therapy, the DM effect of genetic variants was larger than the potential toxic effects of antiretroviral therapy. SNPs contributed significantl to DM risk, but their addition to a clinical model improved DM prediction only slightly, similar to studies in the general population.

Current cardiovascular risk management patterns with special focus on lipid lowering in daily practice in Switzerland

There may be a considerable gap between LDL cholesterol (LDL-C) and blood pressure (BP) goal values recommended by the guidelines and results achieved in daily practice.