An exploration through interview and drawings of the experiences of patients diagnosed with oral cancer across their cancer trajectory

Background: The treatment of oral cancer is complex and lengthy. Curative treatment implies a combination of surgery, radiotherapy and chemotherapy. The main goal of treatment is to guarantee long-term tumour free survival with as little functional and cosmetic damage. Despite progress in developing these strategies, cancers of the oral cavity continue to have high mortality rates that have not improved dramatically over the past ten years. Aim: The aim of this study was to uniquely explore the dynamic changes in the physical, psychological, social and existential experiences of newly diagnosed patients with oral cancer at two points across their cancer illness trajectory i.e. at the time of diagnosis and at the end of treatment. Methodology: A qualitative prospective longitudinal design was employed. Non-probability purposive sampling allowed the recruitment of 10 participants. The principal data collection method used was a digital audio taped semi-structured interview along with drawings produced by the participants. Analysis: Data was analysed using latent content analyses. Summary: Three ‘dynamic’ themes, physical, psychosocial and existential experiences were revealed that interact and influence each other in a complex and compound whole. These experiences are present at different degrees and throughout the entire trajectory of care. Patients have a number of specific concerns and challenges that cannot be compartmentalised into unitary or discrete aspects of their daily lives. Conclusion & Implications: An understanding of the patient’s experience of their illness at all stages of the disease trajectory, is essential to inform service providers’ decision making if the delivery of care is to be client centred. Dynamic and fluctuating changes in the patient’s personal experience of the cancer journey require dynamic, energetic and timely input from health care professionals.

A longitudinal study of epigenetic variation in twins.

DNA methylation is a key epigenetic mechanism involved in the developmental regulation of gene expression. Alterations in DNA methylation are established contributors to inter-individual phenotypic variation and have been associated with disease susceptibility. The degree to which changes in loci-specific DNA methylation are under the influence of heritable and environmental factors is largely unknown. In this study, we quantitatively measured DNA methylation across the promoter regions of the dopamine receptor 4 gene (DRD4), the serotonin transporter gene (SLC6A4/SERT) and the X-linked monoamine oxidase A gene (MAOA) using DNA sampled at both ages 5 and 10 years in 46 MZ twin-pairs and 45 DZ twin-pairs (total n=182). Our data suggest that DNA methylation differences are apparent already in early childhood, even between genetically identical individuals, and that individual differences in methylation are not stable over time. Our longitudinal-developmental study suggests that environmental influences are important factors accounting for interindividual DNA methylation differences, and that these influences differ across the genome. The observation of dynamic changes in DNA methylation over time highlights the importance of longitudinal research designs for epigenetic research.

Influence of the thalamus on spatial visual processing in frontal cortex.

Each of our movements activates our own sensory receptors, and therefore keeping track of self-movement is a necessary part of analysing sensory input. One way in which the brain keeps track of self-movement is by monitoring an internal copy, or corollary discharge, of motor commands. This concept could explain why we perceive a stable visual world despite our frequent quick, or saccadic, eye movements: corollary discharge about each saccade would permit the visual system to ignore saccade-induced visual changes. The critical missing link has been the connection between corollary discharge and visual processing. Here we show that such a link is formed by a corollary discharge from the thalamus that targets the frontal cortex. In the thalamus, neurons in the mediodorsal nucleus relay a corollary discharge of saccades from the midbrain superior colliculus to the cortical frontal eye field. In the frontal eye field, neurons use corollary discharge to shift their visual receptive fields spatially before saccades. We tested the hypothesis that these two components-a pathway for corollary discharge and neurons with shifting receptive fields-form a circuit in which the corollary discharge drives the shift. First we showed that the known spatial and temporal properties of the corollary discharge predict the dynamic changes in spatial visual processing of cortical neurons when saccades are made. Then we moved from this correlation to causation by isolating single cortical neurons and showing that their spatial visual processing is impaired when corollary discharge from the thalamus is interrupted. Thus the visual processing of frontal neurons is spatiotemporally matched with, and functionally dependent on, corollary discharge input from the thalamus. These experiments establish the first link between corollary discharge and visual processing, delineate a brain circuit that is well suited for mediating visual stability, and provide a framework for studying corollary discharge in other sensory systems.

Attosecond phase locking of harmonics emitted from laser-produced plasmas

Laser-driven coherent extreme-ultraviolet (XUV) sources provide pulses lasting a few hundred attoseconds(1,2), enabling real-time access to dynamic changes of the electronic structure of matter(3,4), the fastest processes outside the atomic nucleus. These pulses, however, are typically rather weak. Exploiting the ultrahigh brilliance of accelerator-based XUV sources(5) and the unique time structure of their laser-based counterparts would open intriguing opportunities in ultrafast X-ray and high-field science, extending powerful nonlinear optical and pump-probe techniques towards X-ray frequencies, and paving the way towards unequalled radiation intensities. Relativistic laser-plasma interactions have been identified as a promising approach to achieve this goal(6-13). Recent experiments confirmed that relativistically driven overdense plasmas are able to convert infrared laser light into harmonic XUV radiation with unparalleled efficiency, and demonstrated the scalability of the generation technique towards hard X-rays(14-19). Here we show that the phases of the XUV harmonics emanating from the interaction processes are synchronized, and therefore enable attosecond temporal bunching. Along with the previous findings concerning energy conversion and recent advances in high-power laser technology, our experiment demonstrates the feasibility of confining unprecedented amounts of light energy to within less than one femtosecond.

Modeling continuous self-report measures of perceived emotion using generalized additive mixed models

Emotion research has long been dominated by the “standard method” of displaying posed or acted static images of facial expressions of emotion. While this method has been useful it is unable to investigate the dynamic nature of emotion expression. Although continuous self-report traces have enabled the measurement of dynamic expressions of emotion, a consensus has not been reached on the correct statistical techniques that permit inferences to be made with such measures. We propose Generalized Additive Models and Generalized Additive Mixed Models as techniques that can account for the dynamic nature of such continuous measures. These models allow us to hold constant shared components of responses that are due to perceived emotion across time, while enabling inference concerning linear differences between groups. The mixed model GAMM approach is preferred as it can account for autocorrelation in time series data and allows emotion decoding participants to be modelled as random effects. To increase confidence in linear differences we assess the methods that address interactions between categorical variables and dynamic changes over time. In addition we provide comments on the use of Generalized Additive Models to assess the effect size of shared perceived emotion and discuss sample sizes. Finally we address additional uses, the inference of feature detection, continuous variable interactions, and measurement of ambiguity.

The ParaPhrase Project:Parallel patterns for adaptive heterogeneous multicore systems

This paper describes the ParaPhrase project, a new 3-year targeted research project funded under EU Framework 7 Objective 3.4 (Computer Systems), starting in October 2011. ParaPhrase aims to follow a new approach to introducing parallelism using advanced refactoring techniques coupled with high-level parallel design patterns. The refactoring approach will use these design patterns to restructure programs defined as networks of software components into other forms that are more suited to parallel execution. The programmer will be aided by high-level cost information that will be integrated into the refactoring tools. The implementation of these patterns will then use a well-understood algorithmic skeleton approach to achieve good parallelism. A key ParaPhrase design goal is that parallel components are intended to match heterogeneous architectures, defined in terms of CPU/GPU combinations, for example. In order to achieve this, the ParaPhrase approach will map components at link time to the available hardware, and will then re-map them during program execution, taking account of multiple applications, changes in hardware resource availability, the desire to reduce communication costs etc. In this way, we aim to develop a new approach to programming that will be able to produce software that can adapt to dynamic changes in the system environment. Moreover, by using a strong component basis for parallelism, we can achieve potentially significant gains in terms of reducing sharing at a high level of abstraction, and so in reducing or even eliminating the costs that are usually associated with cache management, locking, and synchronisation. © 2013 Springer-Verlag Berlin Heidelberg.

DEX: Self-Healing Expanders

We present a fully-distributed self-healing algorithm DEX, that maintains a constant degree expander network in a dynamic setting. To the best of our knowledge, our algorithm provides the first efficient distributed construction of expanders - whose expansion properties hold deterministically - that works even under an all-powerful adaptive adversary that controls the dynamic changes to the network (the adversary has unlimited computational power and knowledge of the entire network state, can decide which nodes join and leave and at what time, and knows the past random choices made by the algorithm). Previous distributed expander constructions typically provide only probabilistic guarantees on the network expansion which rapidly degrade in a dynamic setting, in particular, the expansion properties can degrade even more rapidly under adversarial insertions and deletions. Our algorithm provides efficient maintenance and incurs a low overhead per insertion/deletion by an adaptive adversary: only O(log n) rounds and O(log n) messages are needed with high probability (n is the number of nodes currently in the network). The algorithm requires only a constant number of topology changes. Moreover, our algorithm allows for an efficient implementation and maintenance of a distributed hash table (DHT) on top of DEX, with only a constant additional overhead. Our results are a step towards implementing efficient self-healing networks that have guaranteed properties (constant bounded degree and expansion) despite dynamic changes.

DEX: self-healing expanders

An intelligent clustering scheme for distributed intrusion detection in vehicular cloud computing

In recent years, vehicular cloud computing (VCC) has emerged as a new technology which is being used in wide range of applications in the area of multimedia-based healthcare applications. In VCC, vehicles act as the intelligent machines which can be used to collect and transfer the healthcare data to the local, or global sites for storage, and computation purposes, as vehicles are having comparatively limited storage and computation power for handling the multimedia files. However, due to the dynamic changes in topology, and lack of centralized monitoring points, this information can be altered, or misused. These security breaches can result in disastrous consequences such as-loss of life or financial frauds. Therefore, to address these issues, a learning automata-assisted distributive intrusion detection system is designed based on clustering. Although there exist a number of applications where the proposed scheme can be applied but, we have taken multimedia-based healthcare application for illustration of the proposed scheme. In the proposed scheme, learning automata (LA) are assumed to be stationed on the vehicles which take clustering decisions intelligently and select one of the members of the group as a cluster-head. The cluster-heads then assist in efficient storage and dissemination of information through a cloud-based infrastructure. To secure the proposed scheme from malicious activities, standard cryptographic technique is used in which the auotmaton learns from the environment and takes adaptive decisions for identification of any malicious activity in the network. A reward and penalty is given by the stochastic environment where an automaton performs its actions so that it updates its action probability vector after getting the reinforcement signal from the environment. The proposed scheme was evaluated using extensive simulations on ns-2 with SUMO. The results obtained indicate that the proposed scheme yields an improvement of 10 % in detection rate of malicious nodes when compared with the existing schemes.

Molecular characterization and phenotypic expression of mutations in genes for gonadotropins and their receptors in humans.

Gonadotropin hormones undergo important dynamic changes during life. Their rise during puberty stimulates gonadal steroid secretion, triggering the development of secondary sexual characteristics and the acquisition of fertility. The full spectrum of possible mutations and polymorphisms in the human gonadotropins and in their receptor genes has been described in recent years. Patients harboring these mutations display a very wide range of phenotypes affecting all aspects of the reproductive axis. An important insight provided by the careful study of these patients lies in the striking gender differences in the phenotypes associated with a given mutation. As a result, the careful study of these rare patients has allowed us to better define the respective roles of luteinizing hormone and follicle-stimulating hormone in normal human pubertal development and in the achievement of full fertility potential in either males or females. In this work, we describe briefly the known mutations in the genes for both gonadotropins and their receptors, and discuss their genotype/phenotype correlations in light of these important gender differences.

Genèse de l’immunopeptidome du CMH de classe I

La différentiation entre le « soi » et le « non-soi » est un processus biologique essentiel à la vie. Les peptides endogènes présentés par les complexes majeurs d’histocompatibilité de classe I (CMH I) représentent le fondement du « soi » pour les lymphocytes T CD8+. On donne le nom d’immunopeptidome à l’ensemble des peptides présentés à la surface cellulaire par les molécules du CMH I. Nos connaissances concernant l’origine, la composition et la plasticité de l’immunopeptidome restent très limitées. Dans le cadre de cette thèse, nous avons développé une nouvelle approche par spectrométrie de masse permettant de définir avec précision : la nature et l’abondance relative de l’ensemble des peptides composant l’immunopeptidome. Nous avons trouvé que l’immunopeptidome, et par conséquent la nature du « soi » immun, est surreprésenté en peptides provenant de transcrits fortement abondants en plus de dissimuler une signature tissu-spécifique. Nous avons par la suite démontré que l’immunopeptidome est plastique et modulé par l’activité métabolique de la cellule. Nous avons en effet constaté que les modifications du métabolisme cellulaire par l’inhibition de mTOR (de l’anglais mammalian Target Of Rapamycin) provoquent des changements dynamiques dans la composition de l’immunopeptidome. Nous fournissons également la première preuve dans l’étude des systèmes que l’immunopeptidome communique à la surface cellulaire l’activité de certains réseaux biochimiques ainsi que de multiples événements métaboliques régulés à plusieurs niveaux à l’intérieur de la cellule. Nos découvertes ouvrent de nouveaux horizons dans les domaines de la biologie des systèmes et de l’immunologie. En effet, notre travail de recherche suggère que la composition de l’immunopeptidome est modulée dans l’espace et le temps. Il est par conséquent très important de poursuivre le développement de méthodes quantitatives au niveau des systèmes qui nous permettront de modéliser la plasticité de l’immunopeptidome. La simulation et la prédiction des variations dans l’immunopeptidome en réponse à différents facteurs cellulaires intrinsèques et extrinsèques seraient hautement pertinentes pour la conception de traitements immunothérapeutiques.

Bereitstellung von Früherkennungsinformationen für Unternehmen - Entwicklung und Einsatz eines Softwareinstrumentes

Die Unternehmensumwelt wird zunehmend von dynamischen Veränderungen und Turbulenzen geprägt. Globalisierung der Märkte und schneller wechselnde Umfeldveränderungen zwingen die Unternehmen dazu, ihr strategisches Verhalten ständig an neue Bedingungen anzupassen. Ein vorausschauendes Denken und Handeln wird immer notwendiger, da in vielen Branchen Produkte und Dienstleistungen in wesentlich kürzeren Zeitabständen als bisher durch Neue ersetzt werden. Um das unternehmerische Umfeld im Blick zu haben und über Pläne, Leistungen und Kompetenzen der Konkurrenten und Kunden über Marktveränderungen und technische Neuerungen etc. aktuell und vorausschauend informiert zu sein, wird ein intelligentes, systematisches Vorgehen bei der Informationsversorgung mit Umfeldinformationen benötigt. Die Dissertation befasst sich mit der Entwicklung, Implementierung und Untersuchung eines Softwareinstrumentes und systematischen Arbeitsprozesses, um die Versorgung von Managern und Mitarbeitern mit Umfeldinformationen (externen Informationen) zu verbessern um aufkommende Chancen und/oder Risiken frühzeitig zu erkennen. Der Schwerpunkt der Arbeit bezieht sich hauptsächlich auf die Phase der Informationsbereitstellung (Beschaffung, Verarbeitung und Präsentation) und dem Abruf der Umfeldinformationen durch die Manager und Mitarbeiter. Das entwickelte Softwareinstrument und die Arbeitsabläufe werden in drei Untersuchungsfirmen implementiert und evaluiert. Über eine schriftliche Befragung soll der Zustand vor Einführung des Softwareinstrumentes und Arbeitsabläufen und ein Jahr danach erfasst werden. Zur Ergänzung der Ergebnisse der schriftlichen Erhebung werden zusätzlich leitfadengestützte Einzelinterviews durchgeführt werden. Spezielle Auswertungen der Systemzugriffe sollen Aufschluss über den Nutzungsumfang und -häufigkeit im Zeitablauf geben. Über eine sukzessive Optimierung der Software und Arbeitsabläufe werden abschließend ein überarbeitetes Softwareinstrument sowie angepasste Arbeitsabläufe und ein Einführungsverfahren vorgestellt.

A Language for Interactive Cooperative Agents

Cooperative behaviour of agents within highly dynamic and nondeterministic domains is an active field of research. In particular establishing highly responsive teamwork, where agents are able to react on dynamic changes in the environment while facing unreliable communication and sensory noise, is an open problem. Moreover, modelling such responsive, cooperative behaviour is difficult. In this work, we specify a novel model for cooperative behaviour geared towards highly dynamic domains. In our approach, agents estimate each other’s decision and correct these estimations once they receive contradictory information. We aim at a comprehensive approach for agent teamwork featuring intuitive modelling capabilities for multi-agent activities, abstractions over activities and agents, and a clear operational semantic for the new model. This work encompasses a complete specification of the new language, ALICA.

Responsive Azobenzene-Containing Polymers and Gels

The photoviscosity effect in aqueous solutions of novel poly(4-methacryloyloxyazobenzene-co-N,N-dimethyl acrylamide) (MOAB-DMA) was demonstrated. The observed significant reduction in the zero-shear viscosity upon UV-irradiation of MOAB-DMA aqueous solutions was due to the dissociation of the interchain azobenzene aggregates. Such phenomena can be advantageously used in photoswitchable fluidic devices and in protein separation. Introduction of enzymatically degradable azo cross-links into Pluronic-PAA microgels allowed for control of swelling due to degradation of the cross-links by azoreductases from the rat intestinal cecum. Dynamic changes in the cross-link density of stimuli-responsive microgels enable novel opportunities for the control of gel swelling, of importance for drug delivery and microgel sensoric applications.

Dinámica del anillo mitral en pacientes con insuficiencia mitral isquemica

OBJETIVOS: Describir y comparar los cambios dinámicos de la geometría del anillo mitral durante todo el ciclo cardiaco en pacientes con insuficiencia mitral isquémica y pacientes con válvula mitral normal. MATERIALES Y MÉTODOS: Los estudios ecocardiográficos analizados fueron 37, 23 con insuficiencia mitral isquémica y 14 con válvula mitral normal. La reconstrucción del anillo se realizó en la estación de trabajo Xcelera (Philips Medial Systems) mediante la herramienta de análisis mitral (MVQ), en 5 momentos del ciclo cardiaco: Comienzo de Sístole, Mitad de Sístole, Final de Sístole, Mitad de Diástole y Final de Diástole. RESULTADOS: El anillo del grupo control, fue más dinámico, con sus menores dimensiones al final de la diástole, presentando incremento progresivo durante la sístole. Los cambios en el perímetro y el área, fueron significativos entre el comienzo y mitad de la sístole (p:0.087 y p: 0.055). En el grupo con insuficiencia mitral isquémica, el anillo fue más estático. Todas las dimensiones en este grupo, fueron mayores en los cinco momentos del ciclo cardiaco. (p < 0.1). El anillo también fue más plano, con un índice morfológico anular menor al del grupo control (p:0.087). DISCUSIÓN Y CONCLUSIONES: En pacientes sin insuficiencia mitral, el anillo es una estructura dinámica. Durante la sístole, las menores dimensiones se produjeron al comienzo de este periodo y la conformación en silla de montar se mantuvo, protegiendo contra la insuficiencia mitral. El anillo del grupo con insuficiencia mitral fue más estático y plano, perdiendo los mecanismos protectores.