Networks of noisy oscillators with correlated degree and frequency dispersion

We investigate how correlations between the diversity of the connectivity of networks and the dynamics at their nodes affect the macroscopic behavior. In particular, we study the synchronization transition of coupled stochastic phase oscillators that represent the node dynamics. Crucially in our work, the variability in the number of connections of the nodes is correlated with the width of the frequency distribution of the oscillators. By numerical simulations on Erdös-Rényi networks, where the frequencies of the oscillators are Gaussian distributed, we make the counterintuitive observation that an increase in the strength of the correlation is accompanied by an increase in the critical coupling strength for the onset of synchronization. We further observe that the critical coupling can solely depend on the average number of connections or even completely lose its dependence on the network connectivity. Only beyond this state, a weighted mean-field approximation breaks down. If noise is present, the correlations have to be stronger to yield similar observations.

Drosophila Ionotropic Receptor 25a mediates circadian clock resetting by temperature.

Circadian clocks are endogenous timers adjusting behaviour and physiology with the solar day. Synchronized circadian clocks improve fitness and are crucial for our physical and mental well-being. Visual and non-visual photoreceptors are responsible for synchronizing circadian clocks to light, but clock-resetting is also achieved by alternating day and night temperatures with only 2-4 °C difference. This temperature sensitivity is remarkable considering that the circadian clock period (~24 h) is largely independent of surrounding ambient temperatures. Here we show that Drosophila Ionotropic Receptor 25a (IR25a) is required for behavioural synchronization to low-amplitude temperature cycles. This channel is expressed in sensory neurons of internal stretch receptors previously implicated in temperature synchronization of the circadian clock. IR25a is required for temperature-synchronized clock protein oscillations in subsets of central clock neurons. Extracellular leg nerve recordings reveal temperature- and IR25a-dependent sensory responses, and IR25a misexpression confers temperature-dependent firing of heterologous neurons. We propose that IR25a is part of an input pathway to the circadian clock that detects small temperature differences. This pathway operates in the absence of known 'hot' and 'cold' sensors in the Drosophila antenna, revealing the existence of novel periphery-to-brain temperature signalling channels.

Chaos in human behavior: the case of work motivation

This study considers the complex dynamics of work motivation. Forty-eight employees completed a work-motivation diary several times per day over a period of four weeks. The obtained time series were analysed using different methodologies derived from chaos theory (i.e. recurrence plots, Lyapunov exponents, correlation dimension and surrogate data). Results showed chaotic dynamics in 75% of cases. The findings confirm the universality of chaotic behavior within human behavior, challenge some of the underlying assumptions on which work motivation theories are based, and suggest that chaos theory may offer useful and relevant information on how this process is managed within organizations.

Gamma oscillations in V1 are correlated with GABAA receptor density: A multi-modal MEG and Flumazenil-PET study.

High-frequency oscillations in the gamma-band reflect rhythmic synchronization of spike timing in active neural networks. The modulation of gamma oscillations is a widely established mechanism in a variety of neurobiological processes, yet its neurochemical basis is not fully understood. Modeling, in-vitro and in-vivo animal studies suggest that gamma oscillation properties depend on GABAergic inhibition. In humans, search for evidence linking total GABA concentration to gamma oscillations has led to promising -but also to partly diverging- observations. Here, we provide the first evidence of a direct relationship between the density of GABAA receptors and gamma oscillatory gamma responses in human primary visual cortex (V1). By combining Flumazenil-PET (to measure resting-levels of GABAA receptor density) and MEG (to measure visually-induced gamma oscillations), we found that GABAA receptor densities correlated positively with the frequency and negatively with amplitude of visually-induced gamma oscillations in V1. Our findings demonstrate that gamma-band response profiles of primary visual cortex across healthy individuals are shaped by GABAA-receptor-mediated inhibitory neurotransmission. These results bridge the gap with in-vitro and animal studies and may have future clinical implications given that altered GABAergic function, including dysregulation of GABAA receptors, has been related to psychiatric disorders including schizophrenia and depression.

Quantum-to-classical crossover in full counting statistics

The reduction of quantum scattering leads to the suppression of shot noise. In this Letter, we analyze the crossover from the quantum transport regime with universal shot noise to the classical regime where noise vanishes. By making use of the stochastic path integral approach, we find the statistics of transport and the transmission properties of a chaotic cavity as a function of a system parameter controlling the crossover. We identify three different scenarios of the crossover.

Dynamic patterns of flow in the workplace: characterizing within-individual variability using a complexity science approach

As a result of the growing interest in studying employee well-being as a complex process that portrays high levels of within-individual variability and evolves over time, this present study considers the experience of flow in the workplace from a nonlinear dynamical systems approach. Our goal is to offer new ways to move the study of employee well-being beyond linear approaches. With nonlinear dynamical systems theory as the backdrop, we conducted a longitudinal study using the experience sampling method and qualitative semi-structured interviews for data collection; 6981 registers of data were collected from a sample of 60 employees. The obtained time series were analyzed using various techniques derived from the nonlinear dynamical systems theory (i.e., recurrence analysis and surrogate data) and multiple correspondence analyses. The results revealed the following: 1) flow in the workplace presents a high degree of within-individual variability; this variability is characterized as chaotic for most of the cases (75%); 2) high levels of flow are associated with chaos; and 3) different dimensions of the flow experience (e.g., merging of action and awareness) as well as individual (e.g., age) and job characteristics (e.g., job tenure) are associated with the emergence of different dynamic patterns (chaotic, linear and random).

Brain dynamics sustaining rapid rule extraction from speech

Language acquisition is a complex process that requires the synergic involvement of different cognitive functions, which include extracting and storing the words of the language and their embedded rules for progressive acquisition of grammatical information. As has been shown in other fields that study learning processes, synchronization mechanisms between neuronal assemblies might have a key role during language learning. In particular, studying these dynamics may help uncover whether different oscillatory patterns sustain more item-based learning of words and rule-based learning from speech input. Therefore, we tracked the modulation of oscillatory neural activity during the initial exposure to an artificial language, which contained embedded rules. We analyzed both spectral power variations, as a measure of local neuronal ensemble synchronization, as well as phase coherence patterns, as an index of the long-range coordination of these local groups of neurons. Synchronized activity in the gamma band (2040 Hz), previously reported to be related to the engagement of selective attention, showed a clear dissociation of local power and phase coherence between distant regions. In this frequency range, local synchrony characterized the subjects who were focused on word identification and was accompanied by increased coherence in the theta band (48 Hz). Only those subjects who were able to learn the embedded rules showed increased gamma band phase coherence between frontal, temporal, and parietal regions.

Desenvolupament d'eines informàtiques per a residències geriàtriques

L’envelliment de la població demana cada cop més centres especialitzats en geriatria en els països desenvolupats. Aquests mateixos països pateixen recentment una falta de personal qualificat en infermeria. Aquests dos factors es combinen i posen en evidència la necessitat de desenvolupar eines informàtiques que modernitzin les residències geriàtriques. El projecte que s’ha desenvolupat consisteix en una aplicació de gestió d’una residència geriàtrica amb una base de dades centralitzada en un PC des de la qual s’hi pot accedir a través d’una aplicació feta per PDA. La seva funció principal és poder agilitzar tota la repartició de medicació dins la residència geriàtrica, gestionant des de les pautes de medicació corresponents a cada resident, fins a un control d’stock. Consta, per tant, d’una aplicació per PC, programada amb Visual Basic i utilitzant com a base de dades Microsoft Access, i d’una aplicació per PDA, programada amb Embedded Visual Basic i utilitzant la mateixa base de dades creada per l’aplicació per PC. L’aplicació de PC proporcionarà als usuaris una gestió ràpida i còmode i, alhora, rapidesa i estalvi de treball si es vol fer un determinat manteniment a través de l’aplicació de PDA. En el manteniment de l’aplicació, però, no s’hi inclou el manteniment dels usuaris tot i haver un control d’aquests. En aquest projecte s’estudia com es desenvolupa una aplicació per PDA i com comparteix una base de dades amb una altra aplicació a través del sistema de sincronització PC↔PDA anomenat ActiveSync.

Mobiiliavusteisen rakennusprojektin seurantajärjestelmän suunnittelu ja toteutus

In the construction industry, the role of project management and monitoring is emphasized, because the responsibilities have been carefully planned and divided. A concrete element factory manufactures the units based on construction drawings, while a transport company is responsible of transporting the elements to the worksite. At the worksite, an installation team assembles the elements according to plans. Usually, there are several manufacturers and transport companies involved in the construction process and the distances between different parties can be rather long. Therefore, the role of information exchange is critical in order to control, for example, schedules and exceptions. From the viewpoint of project management, the whole process should be controlled and monitored in realtime - in such a way that the managers are able to analyze and report the data afterwards. In this master’s thesis, a mobile-aided construction project monitoring system is designed and implemented. The monitoring system consists of three main components: mobile phone application, server software and an interface application to Tekla Structures BIM-software. Precast construction components, projects and users are identified by using 2D-barcodes that are read with the camera of a mobile phone. An option would be to use RFID tags and readers. After successful identification, the precast component can be tagged with monitoring data, including state acknowledgments and error reports that are sent and saved to the server. Collected data can be viewed through the www-pages of the monitoring system. In addition, the data can be synchronized to the Tekla Structures-software that is running the 3D-model of the whole building. Synchronization maintains and enhances the traceability of monitoring data, as well as, helps to visualize the progression of the project.

On Undecidable Dynamical Properties of Reversible One-Dimensional Cellular Automata

Cellular automata are models for massively parallel computation. A cellular automaton consists of cells which are arranged in some kind of regular lattice and a local update rule which updates the state of each cell according to the states of the cell's neighbors on each step of the computation. This work focuses on reversible one-dimensional cellular automata in which the cells are arranged in a two-way in_nite line and the computation is reversible, that is, the previous states of the cells can be derived from the current ones. In this work it is shown that several properties of reversible one-dimensional cellular automata are algorithmically undecidable, that is, there exists no algorithm that would tell whether a given cellular automaton has the property or not. It is shown that the tiling problem of Wang tiles remains undecidable even in some very restricted special cases. It follows that it is undecidable whether some given states will always appear in computations by the given cellular automaton. It also follows that a weaker form of expansivity, which is a concept of dynamical systems, is an undecidable property for reversible one-dimensional cellular automata. It is shown that several properties of dynamical systems are undecidable for reversible one-dimensional cellular automata. It shown that sensitivity to initial conditions and topological mixing are undecidable properties. Furthermore, non-sensitive and mixing cellular automata are recursively inseparable. It follows that also chaotic behavior is an undecidable property for reversible one-dimensional cellular automata.

Distributed ControlArchitecture of Power Electronics Building-Block-Based Frequency Converters

The increasing power demand and emerging applications drive the design of electrical power converters into modularization. Despite the wide use of modularized power stage structures, the control schemes that are used are often traditional, in other words, centralized. The flexibility and re-usability of these controllers are typically poor. With a dedicated distributed control scheme, the flexibility and re-usability of the system parts, building blocks, can be increased. Only a few distributed control schemes have been introduced for this purpose, but their breakthrough has not yet taken place. A demand for the further development offlexible control schemes for building-block-based applications clearly exists. The control topology, communication, synchronization, and functionality allocationaspects of building-block-based converters are studied in this doctoral thesis. A distributed control scheme that can be easily adapted to building-block-based power converter designs is developed. The example applications are a parallel and series connection of building blocks. The building block that is used in the implementations of both the applications is a commercial off-the-shelf two-level three-phase frequency converter with a custom-designed controller card. The major challenge with the parallel connection of power stages is the synchronization of the building blocks. The effect of synchronization accuracy on the system performance is studied. The functionality allocation and control scheme design are challenging in the seriesconnected multilevel converters, mainly because of the large number of modules. Various multilevel modulation schemes are analyzed with respect to the implementation, and this information is used to develop a flexible control scheme for modular multilevel inverters.

Introduktionen av kärnkraften i Finland

Finlands industri har av tradition varit starkt energikrävande. Träförädlingsindustrin, som fick sin egentliga start i medlet på 1800-talet, använde stora mängder energi liksom metallförädlingsföretagen i ett senare skede. Krigstiden med sin energiransonering visade handgripligen för allmänheten liksom för specialisterna att en tillräcklig tillgång till energi är ett livsvillkor för vår industri och därmed för vårt land. Efterkrigstiden kännetecknades av en allt snabbare utbyggnad av den på vatten- och ångkraft baserade elkraftskapaciteten, en utbyggnad som den inhemska verkstadsindustrin i stor utsträckning deltog i. Men redan på 1950-talet var vattenkraften till stor del utbyggd, varför den privata såväl som den statliga sektorns intresse allt mera inriktade sig på den speciellt i USA favoriserade atomenergin. Efter fördjupade studier i kärnfysik och kärnteknik vid the International School of Nuclear Science and Engineering i USA deltog författaren av dessa rader intensivt (först som Ahlströmanställd och senare som VD för Finnatom) i den utvecklingsverksamhet inom det kärntekniska området som inte bara elproducenterna utan även verkstadsindustrin i vårt land genomförde. Det var därför naturligt för mig att som objekt för min doktorsavhandling välja introduktionen av kärnkraften i Finland med speciell fokus på den inhemska verkstadsindustrins roll. Jag ställde följande forskningsfrågor: a. När och hur skedde introduktionen av kärnkraften i Finland? b. Vilka var orsakerna till och resultatet av denna introduktion? c. Vilken var den inhemska verkstadsindustrins roll? Ett grundligt studium av litteraturen inklusive mötesprotokoll och tidningsreferat samt personligen genomförda intervjuer med ett trettiotal av de verkliga aktörerna i den långa och komplicerade introduktionsprocessen ledde till en teori, vars riktighet jag anser mig ha kunnat bevisa. Den inhemska verkstadsindustrins roll var synnerligen central. Dess representanter lyckades, bl.a. refererande till erfarenheterna från utbyggnaden av vatten- och ångkraften liksom till byggandet av den underkritiska milan YXP samt forskningsreaktorn TRIGA, övertyga beslutsfattarna om att den besatt nödig kompetens för att kompensera den kompetensbrist som kunde iakttas inom vissa områden hos den sovjetiska kärnkraftverksleverantören. De inhemska leveranserna påverkade även driftsresultatet, speciellt i fallet Lovisa, i positiv riktning. Introduktionsprocessen, som omfattade tiden från slutet av 1950-talet till början på 1980-talet, beskrevs, noterande bl.a. J. W. Creswells anvisningar, i detalj i avhandlingen. Introduktionen fick som resultat konkurrenskraftig elkraft, impuls till start av nya företag, exempelvis Nokia Elektronik, liksom en klar höjning av den tekniska nivån hos vår industri, inkluderande kärnteknisk tillverkning i stor skala. Katastrofen i Tjernobyl i slutet av april 1986 innebar emellertid att utvecklingen tog en paus på ett par decennier. Erfarenheterna från introduktionsfasen kan förhoppningsvis utnyttjas till fullo nu, när utbyggnaden av kärnkraften återupptagits i vårt land.

Methods for construction and analysis of computational models in systems biology : applications to the modelling of the heat shock response and the self-assembly of intermediate filaments

Systems biology is a new, emerging and rapidly developing, multidisciplinary research field that aims to study biochemical and biological systems from a holistic perspective, with the goal of providing a comprehensive, system- level understanding of cellular behaviour. In this way, it addresses one of the greatest challenges faced by contemporary biology, which is to compre- hend the function of complex biological systems. Systems biology combines various methods that originate from scientific disciplines such as molecu- lar biology, chemistry, engineering sciences, mathematics, computer science and systems theory. Systems biology, unlike “traditional” biology, focuses on high-level concepts such as: network, component, robustness, efficiency, control, regulation, hierarchical design, synchronization, concurrency, and many others. The very terminology of systems biology is “foreign” to “tra- ditional” biology, marks its drastic shift in the research paradigm and it indicates close linkage of systems biology to computer science. One of the basic tools utilized in systems biology is the mathematical modelling of life processes tightly linked to experimental practice. The stud- ies contained in this thesis revolve around a number of challenges commonly encountered in the computational modelling in systems biology. The re- search comprises of the development and application of a broad range of methods originating in the fields of computer science and mathematics for construction and analysis of computational models in systems biology. In particular, the performed research is setup in the context of two biolog- ical phenomena chosen as modelling case studies: 1) the eukaryotic heat shock response and 2) the in vitro self-assembly of intermediate filaments, one of the main constituents of the cytoskeleton. The range of presented approaches spans from heuristic, through numerical and statistical to ana- lytical methods applied in the effort to formally describe and analyse the two biological processes. We notice however, that although applied to cer- tain case studies, the presented methods are not limited to them and can be utilized in the analysis of other biological mechanisms as well as com- plex systems in general. The full range of developed and applied modelling techniques as well as model analysis methodologies constitutes a rich mod- elling framework. Moreover, the presentation of the developed methods, their application to the two case studies and the discussions concerning their potentials and limitations point to the difficulties and challenges one encounters in computational modelling of biological systems. The problems of model identifiability, model comparison, model refinement, model inte- gration and extension, choice of the proper modelling framework and level of abstraction, or the choice of the proper scope of the model run through this thesis.

Hammashihnajohdeakseleiden liikkeiden synkronointi

Nykyisessä valmistusteollisuudessa erilaisten robottien ja automatisoitujen tuotantovaiheiden rooli on erittäin merkittävä. Tarkasti suunnitellut liikkeet ja toimintavaiheet voidaan nykyisillä järjestelmillä ajoittaa tarkasti toisiinsa nähden, jolloin erilaisten virhetilanteidenkin sattuessa järjestelmä pystyy toimimaan tilanteen edellyttämällä tavalla. Automatisoinnin etuna on myös tuotannon muokkaaminen erilaisten tuotteiden valmistamiseen pienillä muutoksilla, jolloin tuotantokustannukset pysyvät matalina myös pienten valmistuserien tapauksissa. Usean akselin laitteissa eli niin sanotuissa moniakselikäytöissä laitteen toimintatarkkuus riippuu jokaisen liikeakselin tarkkuudesta. Liikkeenohjauksessa on perinteisesti ollut käytössä myötäkytketty paikkakaskadi, jonka virityksessä otetaan huomioon akselilla olevat erilaiset dynaamiset tilat ja käytettävät referenssit. Monissa nykyisissä hajautetuissa järjestelmissä eli moniakselikäytöissä, joissa jokaiselle akselille on oma ohjauslaite, ei yksittäisen akselin paikkavirhettä huomioida muiden akseleiden ohjauksessa. Työssä tutkitaan erilaisia moniakselijärjestelmien ohjausmenetelmiä ja myötäkytketyn paikkakaskadin toimintaa moniakselikäytössä pyritään parantamaan tuomalla paikkasäätimen rinnalle toinen säädin, jonka tulona on akseleiden välinen paikkaero.

Exploring Adaptive Implementation of On-Chip Networks

As technology geometries have shrunk to the deep submicron regime, the communication delay and power consumption of global interconnections in high performance Multi- Processor Systems-on-Chip (MPSoCs) are becoming a major bottleneck. The Network-on- Chip (NoC) architecture paradigm, based on a modular packet-switched mechanism, can address many of the on-chip communication issues such as performance limitations of long interconnects and integration of large number of Processing Elements (PEs) on a chip. The choice of routing protocol and NoC structure can have a significant impact on performance and power consumption in on-chip networks. In addition, building a high performance, area and energy efficient on-chip network for multicore architectures requires a novel on-chip router allowing a larger network to be integrated on a single die with reduced power consumption. On top of that, network interfaces are employed to decouple computation resources from communication resources, to provide the synchronization between them, and to achieve backward compatibility with existing IP cores. Three adaptive routing algorithms are presented as a part of this thesis. The first presented routing protocol is a congestion-aware adaptive routing algorithm for 2D mesh NoCs which does not support multicast (one-to-many) traffic while the other two protocols are adaptive routing models supporting both unicast (one-to-one) and multicast traffic. A streamlined on-chip router architecture is also presented for avoiding congested areas in 2D mesh NoCs via employing efficient input and output selection. The output selection utilizes an adaptive routing algorithm based on the congestion condition of neighboring routers while the input selection allows packets to be serviced from each input port according to its congestion level. Moreover, in order to increase memory parallelism and bring compatibility with existing IP cores in network-based multiprocessor architectures, adaptive network interface architectures are presented to use multiple SDRAMs which can be accessed simultaneously. In addition, a smart memory controller is integrated in the adaptive network interface to improve the memory utilization and reduce both memory and network latencies. Three Dimensional Integrated Circuits (3D ICs) have been emerging as a viable candidate to achieve better performance and package density as compared to traditional 2D ICs. In addition, combining the benefits of 3D IC and NoC schemes provides a significant performance gain for 3D architectures. In recent years, inter-layer communication across multiple stacked layers (vertical channel) has attracted a lot of interest. In this thesis, a novel adaptive pipeline bus structure is proposed for inter-layer communication to improve the performance by reducing the delay and complexity of traditional bus arbitration. In addition, two mesh-based topologies for 3D architectures are also introduced to mitigate the inter-layer footprint and power dissipation on each layer with a small performance penalty.