Contact Sensing: A Sequential Decision Approach to Sensing Manipulation Contact

This paper describes a new statistical, model-based approach to building a contact state observer. The observer uses measurements of the contact force and position, and prior information about the task encoded in a graph, to determine the current location of the robot in the task configuration space. Each node represents what the measurements will look like in a small region of configuration space by storing a predictive, statistical, measurement model. This approach assumes that the measurements are statistically block independent conditioned on knowledge of the model, which is a fairly good model of the actual process. Arcs in the graph represent possible transitions between models. Beam Viterbi search is used to match measurement history against possible paths through the model graph in order to estimate the most likely path for the robot. The resulting approach provides a new decision process that can be use as an observer for event driven manipulation programming. The decision procedure is significantly more robust than simple threshold decisions because the measurement history is used to make decisions. The approach can be used to enhance the capabilities of autonomous assembly machines and in quality control applications.

Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000

Interest in attributing the risk of damaging weather-related events to anthropogenic climate change is increasing1. Yet climate models used to study the attribution problem typically do not resolve the weather systems associated with damaging events2 such as the UK floods of October and November 2000. Occurring during the wettest autumn in England and Wales since records began in 17663, 4, these floods damaged nearly 10,000 properties across that region, disrupted services severely, and caused insured losses estimated at £1.3 billion (refs 5, 6). Although the flooding was deemed a ‘wake-up call’ to the impacts of climate change at the time7, such claims are typically supported only by general thermodynamic arguments that suggest increased extreme precipitation under global warming, but fail8, 9 to account fully for the complex hydrometeorology4, 10 associated with flooding. Here we present a multi-step, physically based ‘probabilistic event attribution’ framework showing that it is very likely that global anthropogenic greenhouse gas emissions substantially increased the risk of flood occurrence in England and Wales in autumn 2000. Using publicly volunteered distributed computing11, 12, we generate several thousand seasonal-forecast-resolution climate model simulations of autumn 2000 weather, both under realistic conditions, and under conditions as they might have been had these greenhouse gas emissions and the resulting large-scale warming never occurred. Results are fed into a precipitation-runoff model that is used to simulate severe daily river runoff events in England and Wales (proxy indicators of flood events). The precise magnitude of the anthropogenic contribution remains uncertain, but in nine out of ten cases our model results indicate that twentieth-century anthropogenic greenhouse gas emissions increased the risk of floods occurring in England and Wales in autumn 2000 by more than 20%, and in two out of three cases by more than 90%.

Análise de linguagens de modelagem de processos de um modelo de referência na cadeia de suprimentos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Progettazione e sviluppo di applicazioni distribuite su Web: da JavaScript a TypeScript

Il Web nel corso della sua esistenza ha subito un mutamento dovuto in parte dalle richieste del mercato, ma soprattutto dall’evoluzione e la nascita costante delle numerose tecnologie coinvolte in esso. Si è passati da un’iniziale semplice diffusione di contenuti statici, ad una successiva collezione di siti web, dapprima con limitate presenze di dinamicità e interattività (a causa dei limiti tecnologici), ma successivamente poi evoluti alle attuali applicazioni web moderne che hanno colmato il gap con le applicazioni desktop, sia a livello tecnologico, che a livello di diffusione effettiva sul mercato. Tali applicazioni web moderne possono presentare un grado di complessità paragonabile in tutto e per tutto ai sistemi software desktop tradizionali; le tecnologie web hanno subito nel tempo un evoluzione legata ai cambiamenti del web stesso e tra le tecnologie più diffuse troviamo JavaScript, un linguaggio di scripting nato per dare dinamicità ai siti web che si ritrova tutt’ora ad essere utilizzato come linguaggio di programmazione di applicazioni altamente strutturate. Nel corso degli anni la comunità di sviluppo che ruota intorno a JavaScript ha prodotto numerose librerie al supporto del linguaggio dotando così gli sviluppatori di un linguaggio completo in grado di far realizzare applicazioni web avanzate. Le recenti evoluzioni dei motori javascript presenti nei browser hanno inoltre incrementato le prestazioni del linguaggio consacrandone la sua leadership nei confronti dei linguaggi concorrenti. Negli ultimi anni a causa della crescita della complessità delle applicazioni web, javascript è stato messo molto in discussione in quanto come linguaggio non offre le classiche astrazioni consolidate nel tempo per la programmazione altamente strutturata; per questo motivo sono nati linguaggi orientati alla programmazione ad oggetti per il web che si pongono come obiettivo la risoluzione di questo problema: tra questi si trovano linguaggi che hanno l’ambizione di soppiantare JavaScript come ad esempio Dart creato da Google, oppure altri che invece sfruttano JavaScript come linguaggio base al quale aggiungono le caratteristiche mancanti e, mediante il processo di compilazione, producono codice JavaScript puro compatibile con i motori JavaScript presenti nei browser. JavaScript storicamente fu introdotto come linguaggio sia per la programmazione client-side, che per la controparte server-side, ma per vari motivi (la forte concorrenza, basse performance, etc.) ebbe successo solo come linguaggio per la programmazione client; le recenti evoluzioni del linguaggio lo hanno però riportato in auge anche per la programmazione server-side, soprattutto per i miglioramenti delle performance, ma anche per la sua naturale predisposizione per la programmazione event-driven, paradigma alternativo al multi-threading per la programmazione concorrente. Un’applicazione web di elevata complessità al giorno d’oggi può quindi essere interamente sviluppata utilizzando il linguaggio JavaScript, acquisendone sia i suoi vantaggi che gli svantaggi; le nuove tecnologie introdotte ambiscono quindi a diventare la soluzione per i problemi presenti in JavaScript e di conseguenza si propongono come potenziali nuovi linguaggi completi per la programmazione web del futuro, anticipando anche le prossime evoluzioni delle tecnologie già esistenti preannunciate dagli enti standard della programmazione web, il W3C ed ECMAScript. In questa tesi saranno affrontate le tematiche appena introdotte confrontando tra loro le tecnologie in gioco con lo scopo di ottenere un’ampia panoramica delle soluzioni che uno sviluppatore web dovrà prendere in considerazione per realizzare un sistema di importanti dimensioni; in particolare sarà approfondito il linguaggio TypeScript proposto da Microsoft, il quale è nato in successione a Dart apparentemente con lo stesso scopo, ma grazie alla compatibilità con JavaScript e soprattutto con il vasto mondo di librerie legate ad esso nate in questi ultimi anni, si presenta nel mercato come tecnologia facile da apprendere per tutti gli sviluppatori che già da tempo hanno sviluppato abilità nella programmazione JavaScript.

Ruolo delle architetture ad eventi nello sviluppo delle applicazioni moderne

Attualmente il panorama informatico è dominato dai dispositivi mobile: smartphone e tablet pc dominano incontrastati la scena del mercato elettronico. Questo comporta un radicale ripensamento e cambiamento del software, le web app e le mobile application richiedono infatti una sempre maggiore reattività dell’interfaccia utente, la persistente connessione a Internet e l’interazione con una moltitudine di dispositivi esterni. Il progettista di software deve oggi far fronte a tutta una serie di problematiche, l’aumentata complessità dei sistemi e i sempre più ristretti tempi di sviluppo e consegna richiedono compromessi tra la semplicità delle tecniche di progettazione e l’efficienza del prodotto ottenuto. Le architetture ad eventi in primis, unitamente al paradigma di programmazione asincrona, si pongono come soluzione ottimale a queste esigenze. L’obbiettivo principale di questa tesi è quello di offrire una panoramica generale sullo stato dell’arte delle architetture ad eventi focalizzandosi sul ruolo che esse assumono nel contesto delle applicazioni moderne, intendendo principalmente con questo termine le web application e le mobile application. Partendo dal concetto di programmazione sincrona e parallela si giunge a descrivere un terzo modello, il modello asincrono, di fondamentale importanza per i sistemi event-driven. Utilizzando come principale linguaggio di riferimento JavaScript si affrontano le problematiche legate alla stesura del codice per la gestione degli eventi, l’asincronicità intrinseca degli eventi e l’utilizzo di funzioni di callback portano a produrre codice di difficile lettura e manutenzione. Si analizzano quindi in dettaglio i pattern fondamentali e le tecniche attualmente utilizzate per l’ottimizzazione della gestione del codice e delle problematiche esposte fornendo numerosi esempi esplicativi.

Tangram ed edutainment per l'apprendimento della geometria

Partendo dalle analisi condotte sulla relazione esistente tra il divertimento ed un migliore apprendimento, e sui concetti di Edutainment e Gamification, si è realizzata una applicazione per dispositivi mobili che riproduce in formato digitale il gioco cinese del Tangram al fine di utilizzarlo come strumento di edutainment volto all'apprendimento di alcune nozioni di geometria ed all'allenamento delle abilità legate alla logica. Nello sviluppo di tale applicazione si è fatto riferimento alla metodologia di progettazione delle applicazioni ibride, in modo da semplificare la portabilità cross-platform tra i dispositivi, e si è prestata particolare attenzione alla creazione di un sistema che possa essere inserito come modulo all'interno di una applicazione multi-gioco di più ampio respiro. Per la progettazione si è fatto riferimento al paradigma ad oggetti e ad una gestione delle dinamiche di gioco event-driven.

Applicazione del modello di concorrenza ad Attori nello sviluppo di applicazioni Web: un caso di studio

Panoramica del contesto storico focalizzato sullo sviluppo del Web e del contesto sociale. Panorama del modello a Threads con analisi delle tecniche di concorrenza applicabili. Panoramica del modello ad Attori focalizzandosi sull'implementazione di Akka e di alcuni patterns di comunicazione. Analisi dell'architettura event-driven e di Node.js. Esposizione di un caso di studio per la programmazione Web comparando modello a Thread e modello ad Attori.

Anomalous Velocity Distributions in Active Brownian Suspensions

Large-scale simulations and analytical theory have been combined to obtain the nonequilibrium velocity distribution, f(v), of randomly accelerated particles in suspension. The simulations are based on an event-driven algorithm, generalized to include friction. They reveal strongly anomalous but largely universal distributions, which are independent of volume fraction and collision processes, which suggests a one-particle model should capture all the essential features. We have formulated this one-particle model and solved it analytically in the limit of strong damping, where we find that f (v) decays as 1/v for multiple decades, eventually crossing over to a Gaussian decay for the largest velocities. Many particle simulations and numerical solution of the one-particle model agree for all values of the damping.

Rationale and design of a randomized, double-blind, parallel-group study of terutroban 30 mg/day versus aspirin 100 mg/day in stroke patients: the prevention of cerebrovascular and cardiovascular events of ischemic origin with terutroban in patients with a history of ischemic stroke or transient ischemic attack (PERFORM) study

BACKGROUND: Ischemic stroke is the leading cause of mortality worldwide and a major contributor to neurological disability and dementia. Terutroban is a specific TP receptor antagonist with antithrombotic, antivasoconstrictive, and antiatherosclerotic properties, which may be of interest for the secondary prevention of ischemic stroke. This article describes the rationale and design of the Prevention of cerebrovascular and cardiovascular Events of ischemic origin with teRutroban in patients with a history oF ischemic strOke or tRansient ischeMic Attack (PERFORM) Study, which aims to demonstrate the superiority of the efficacy of terutroban versus aspirin in secondary prevention of cerebrovascular and cardiovascular events. METHODS AND RESULTS: The PERFORM Study is a multicenter, randomized, double-blind, parallel-group study being carried out in 802 centers in 46 countries. The study population includes patients aged > or =55 years, having suffered an ischemic stroke (< or =3 months) or a transient ischemic attack (< or =8 days). Participants are randomly allocated to terutroban (30 mg/day) or aspirin (100 mg/day). The primary efficacy endpoint is a composite of ischemic stroke (fatal or nonfatal), myocardial infarction (fatal or nonfatal), or other vascular death (excluding hemorrhagic death of any origin). Safety is being evaluated by assessing hemorrhagic events. Follow-up is expected to last for 2-4 years. Assuming a relative risk reduction of 13%, the expected number of primary events is 2,340. To obtain statistical power of 90%, this requires inclusion of at least 18,000 patients in this event-driven trial. The first patient was randomized in February 2006. CONCLUSIONS: The PERFORM Study will explore the benefits and safety of terutroban in secondary cardiovascular prevention after a cerebral ischemic event.

A Routing Protocol Based on Energy and Link Quality for Internet of Things Applications

The Internet of Things (IoT) is attracting considerable attention from the universities, industries, citizens and governments for applications, such as healthcare, environmental monitoring and smart buildings. IoT enables network connectivity between smart devices at all times, everywhere, and about everything. In this context, Wireless Sensor Networks (WSNs) play an important role in increasing the ubiquity of networks with smart devices that are low-cost and easy to deploy. However, sensor nodes are restricted in terms of energy, processing and memory. Additionally, low-power radios are very sensitive to noise, interference and multipath distortions. In this context, this article proposes a routing protocol based on Routing by Energy and Link quality (REL) for IoT applications. To increase reliability and energy-efficiency, REL selects routes on the basis of a proposed end-to-end link quality estimator mechanism, residual energy and hop count. Furthermore, REL proposes an event-driven mechanism to provide load balancing and avoid the premature energy depletion of nodes/networks. Performance evaluations were carried out using simulation and testbed experiments to show the impact and benefits of REL in small and large-scale networks. The results show that REL increases the network lifetime and services availability, as well as the quality of service of IoT applications. It also provides an even distribution of scarce network resources and reduces the packet loss rate, compared with the performance of well-known protocols.

Treatment of idiopathic pulmonary fibrosis with ambrisentan: a parallel, randomized trial

BACKGROUND Idiopathic pulmonary fibrosis (IPF) is characterized by formation and proliferation of fibroblast foci. Endothelin-1 induces lung fibroblast proliferation and contractile activity via the endothelin A (ETA) receptor. OBJECTIVE To determine whether ambrisentan, an ETA receptor-selective antagonist, reduces the rate of IPF progression. DESIGN Randomized, double-blind, placebo-controlled, event-driven trial. (ClinicalTrials.gov: NCT00768300). SETTING Academic and private hospitals. PARTICIPANTS Patients with IPF aged 40 to 80 years with minimal or no honeycombing on high-resolution computed tomography scans. INTERVENTION Ambrisentan, 10 mg/d, or placebo. MEASUREMENTS Time to disease progression, defined as death, respiratory hospitalization, or a categorical decrease in lung function. RESULTS The study was terminated after enrollment of 492 patients (75% of intended enrollment; mean duration of exposure to study medication, 34.7 weeks) because an interim analysis indicated a low likelihood of showing efficacy for the end point by the scheduled end of the study. Ambrisentan-treated patients were more likely to meet the prespecified criteria for disease progression (90 [27.4%] vs. 28 [17.2%] patients; P = 0.010; hazard ratio, 1.74 [95% CI, 1.14 to 2.66]). Lung function decline was seen in 55 (16.7%) ambrisentan-treated patients and 19 (11.7%) placebo-treated patients (P = 0.109). Respiratory hospitalizations were seen in 44 (13.4%) and 9 (5.5%) patients in the ambrisentan and placebo groups, respectively (P = 0.007). Twenty-six (7.9%) patients who received ambrisentan and 6 (3.7%) who received placebo died (P = 0.100). Thirty-two (10%) ambrisentan-treated patients and 16 (10%) placebo-treated patients had pulmonary hypertension at baseline, and analysis stratified by the presence of pulmonary hypertension revealed similar results for the primary end point. LIMITATION The study was terminated early. CONCLUSION Ambrisentan was not effective in treating IPF and may be associated with an increased risk for disease progression and respiratory hospitalizations. PRIMARY FUNDING SOURCE Gilead Sciences.

Lobe specific Ca2+-calmodulin nano-domain in neuronal spines: a single molecule level analysis.

Calmodulin (CaM) is a ubiquitous Ca(2+) buffer and second messenger that affects cellular function as diverse as cardiac excitability, synaptic plasticity, and gene transcription. In CA1 pyramidal neurons, CaM regulates two opposing Ca(2+)-dependent processes that underlie memory formation: long-term potentiation (LTP) and long-term depression (LTD). Induction of LTP and LTD require activation of Ca(2+)-CaM-dependent enzymes: Ca(2+)/CaM-dependent kinase II (CaMKII) and calcineurin, respectively. Yet, it remains unclear as to how Ca(2+) and CaM produce these two opposing effects, LTP and LTD. CaM binds 4 Ca(2+) ions: two in its N-terminal lobe and two in its C-terminal lobe. Experimental studies have shown that the N- and C-terminal lobes of CaM have different binding kinetics toward Ca(2+) and its downstream targets. This may suggest that each lobe of CaM differentially responds to Ca(2+) signal patterns. Here, we use a novel event-driven particle-based Monte Carlo simulation and statistical point pattern analysis to explore the spatial and temporal dynamics of lobe-specific Ca(2+)-CaM interaction at the single molecule level. We show that the N-lobe of CaM, but not the C-lobe, exhibits a nano-scale domain of activation that is highly sensitive to the location of Ca(2+) channels, and to the microscopic injection rate of Ca(2+) ions. We also demonstrate that Ca(2+) saturation takes place via two different pathways depending on the Ca(2+) injection rate, one dominated by the N-terminal lobe, and the other one by the C-terminal lobe. Taken together, these results suggest that the two lobes of CaM function as distinct Ca(2+) sensors that can differentially transduce Ca(2+) influx to downstream targets. We discuss a possible role of the N-terminal lobe-specific Ca(2+)-CaM nano-domain in CaMKII activation required for the induction of synaptic plasticity.

Clinical decision support capabilities of commercially-available clinical information systems.

BACKGROUND: The most effective decision support systems are integrated with clinical information systems, such as inpatient and outpatient electronic health records (EHRs) and computerized provider order entry (CPOE) systems. Purpose The goal of this project was to describe and quantify the results of a study of decision support capabilities in Certification Commission for Health Information Technology (CCHIT) certified electronic health record systems. METHODS: The authors conducted a series of interviews with representatives of nine commercially available clinical information systems, evaluating their capabilities against 42 different clinical decision support features. RESULTS: Six of the nine reviewed systems offered all the applicable event-driven, action-oriented, real-time clinical decision support triggers required for initiating clinical decision support interventions. Five of the nine systems could access all the patient-specific data items identified as necessary. Six of the nine systems supported all the intervention types identified as necessary to allow clinical information systems to tailor their interventions based on the severity of the clinical situation and the user's workflow. Only one system supported all the offered choices identified as key to allowing physicians to take action directly from within the alert. Discussion The principal finding relates to system-by-system variability. The best system in our analysis had only a single missing feature (from 42 total) while the worst had eighteen.This dramatic variability in CDS capability among commercially available systems was unexpected and is a cause for concern. CONCLUSIONS: These findings have implications for four distinct constituencies: purchasers of clinical information systems, developers of clinical decision support, vendors of clinical information systems and certification bodies.

Property Condition Disclosure Law: Does 'Seller Tell All' Matter in Property Values?

At the time when at least two-thirds of the US states have already mandated some form of seller's property condition disclosure statement and there is a movement in this direction nationally, this paper examines the impact of seller's property condition disclosure law on the residential real estate values, the information asymmetry in housing transactions and shift of risk from buyers and brokers to the sellers, and attempts to ascertain the factors that lead to adoption of the disclosur law. The analytical structure employs parametric panel data models, semi-parametric propensity score matching models, and an event study framework using a unique set of economic and institutional attributes for a quarterly panel of 291 US Metropolitan Statistical Areas (MSAs) and 50 US States spanning 21 years from 1984 to 2004. Exploiting the MSA level variation in house prices, the study finds that the average seller may be able to fetch a higher price (about three to four percent) for the house if she furnishes a state-mandated seller's property condition disclosure statement to the buyer.