Viivakoodien ja RFID-tunnisteiden vertailu Fetek Oy:n käyttöön

Työn tavoitteena oli vähentää levyaihioiden hakuun käytettävää aikaa varastossa. Tutkimus perustuu kirjallisuuteen ja tieteellisiin lähteisiin. Fetek Oy:n levyvarastoon soveltuvaksi tunnistusjärjestelmäksi osoittautui viivakooditekniikkaan perustuva QR-koodi. QR-koodien valmistus onnistuu yrityksessä ja koodiin saadaan mahtumaan kaikki tarvittava tieto levyistä. Koodien lukeminen onnistuu työpuhelimella tai erillisellä lukijalla. Koodien käyttöönotto ja päivittäminen oli kustannustehokkain ratkaisu yrityksen tarpeisiin. Olemassa olevaa varastoa myös päätettiin selkeyttää käyttämällä väritunnistusta hyllyissä ja ottamalla käyttöön LEAN 5S. Värikoodaus nopeuttaa tunnistusta huomattavasti ja LEAN 5S puolestaan auttaa pitämään tuotantotilat aina järjestyksessä. Jatkotutkimuksessa tulisi parantaa tuotantotilojen järjestelyä ja miettiä yrityksen käytössä olevan varastonhallintaohjelmiston soveltuvuutta.

The role of miRNAs in stroke

Stroke is currently one of the leading causes of death and disability worldwide. Despite recent advances in the treatment of stroke there is a major unmet clinical need for novel therapeutics for intervention. miRNAs are small coding RNAs which act to post-transcriptionally inhibit expression of genes. Emerging evidence has supported the view that miRNAs play an important role in the development and progression of ischaemic stroke, although understanding remains relatively poor. This research uses several models to investigate the effects of miRNAs in the context of stroke in vivo and in vitro, as well as assessment of patient serum samples in order to identify biomarkers for stroke. miR-29b was found to be significantly upregulated in SHRSP rat brain peri-infarct at 72h following stroke, and downregulated in ischaemic core at 24h and 72h following stroke, whilst miR-29c was significantly downregulated in remainder tissue at 24h following stroke and in infarct at 72h following stroke. The upreglation of miR-29b at 72h corresponded to a significant downregulation of miR-29 target genes MMP2, MMP9 and TGF-β1 in peri-infarct tissue at 72h following stroke. Modulation of miR-29b and miR-29c was achieved in a rat neuronal cell line but suppression of genes of interest was not observed following oxygen glucose deprivation. Several candidate miRNAs were then identified by microRNA Openarray analysis in stroke patient serum samples. Validation of these miRNAs was not demonstrated in the population studied, but assessment of these miRNAs in rat serum and isolated exosomes demonstrated that several of these miRNAs were significantly altered in SHRSP rats following stroke. Finally miR-21 was demonstrated to be significantly upregulated in SHRSP rat peri-infarct following stroke. This was associated with a change in miR-21 localization as determined by in situ hybridization. Modulation of miR-21 via the use of CAG-miR-21 mice demonstrated no difference in infarct size as measured by T2 -weighted MRI scan nor was any difference present in behavioural tests versus wild type. KO of miR-21 resulted in a reduction of survival rate compared with wild type. This thesis demonstrates that miR-29 and miR-21 are modulated following stroke in animal models, and these are potential candidates for therapeutic intervention in the future. Analysis of clinical samples has illustrated difficulties in the identification of serum miRNA profiles and suggests that looking at the exosomal component of serum may provide better information regarding miRNA profiles after stroke.

Genetic control of development in the parasitic nematode Haemonchus contortus by microRNAs

The parasitic nematode Haemonchus contortus has a major impact on the welfare and economic sustainability of small ruminant farming throughout the world. Increasing drug resistance requires the development of novel therapeutic agents. To further this process, we examined the fundamental biology of development in H. contortus, specifically, the potential role of microRNAs (miRNAs). miRNAs are short, non-coding RNA molecules that negatively regulate gene expression. In the free-living nematode Caenorhabditis elegans, miRNAs regulate a variety of genes including those involved in development. This thesis describes the expression patterns, potential targets and possible functions of miRNAs in H. contortus throughout development.

The role of microRNA 21 in the development of in-stent restenosis

Coronary heart disease is a major cause of morbidity and mortality worldwide. Percutaneous coronary intervention (PCI) has become the most widely used method of coronary artery revascularisation. The use of stents to hold open atherosclerosis induced arterial narrowing has significantly reduced elastic recoil and acute vessel occlusion following balloon angioplasty. However, bare metal stents have been associated with in-stent restenosis attributed to vascular smooth muscle cell (VSMC) hyperplasia and excessive neointimal formation. The resultant luminal renarrowing may manifest clinically with the return of symptoms such as chest pain or shortness of breath. The development of drug eluting stents has significantly reduced the incidence of in-stent restenosis (ISR). Unfortunately the antiproliferative medications used not only inhibit VSMC proliferation but also re-endothelialisation of the stented vessel. In addition, the drug impregnated polymer coating has been associated with a chronic inflammatory response within the vessel wall predisposing patients to stent thrombosis. Thus the identification of novel therapies which promote vessel healing without excessive proliferative or inflammatory response may improve long term outcome and reduce the need for repeated revascularisation. MicroRNAs (miRs) are short (18-25 nucleotide) non-coding RNAs acting to regulate gene expression. By binding to the 3’untranslated region of mRNA they act to fine tune gene expression either by mRNA degradation or translational repression. Originally identified in coordinating tissue development microRNAs have also been shown to play important roles coordinating the inflammatory response and in numerous cardiovascular diseases. MiR-21 has been identified in human atherosclerotic plaques, arteriosclerosis obliterans and abdominal aortic aneurysms. In addition, its up regulation has been documented in preclinical models of vascular injury. This study sought to identify the role of miR-21 in the development of ISR. Utilising a small animal model of stenting and in vitro techniques, we sought to investigate its influence upon VSMC and immune cell response following stenting. 19 The refinement of a murine stenting model within the Baker laboratory and the electrochemical dissolution of the metal stent from within harvested vascular tissues significantly improved the ability to perform detailed histological analysis. In addition, identification of miRNAs using in situ hybridisation was achieved for the first time within stented tissue. Neointimal formation and ISR was significantly reduced in mice in which miR-21 had been genetically deleted. In addition, neointimal composition was found to be altered in miR-21 KO mice with reductions in VSMC and elastin content demonstrated. Importantly, no difference in re-endothelialisation was observed. In vitro analysis demonstrated that VSMCs from miR-21 KO mice had both reduced proliferative and migratory capacity following platelet derived growth factor stimulation. Molecular analysis revealed that these differences may, at least in part, be due to de-repression of programmed cell death 4 (PDCD4). PDCD4 is a known miR-21 target within VSMCs implicated in the suppression of proliferation and promotion of apoptosis. Unfortunately, initial attempts at antimiR mediated knockdown of miR-21 in vivo, failed to produce a similar change in the suppression of ISR. Furthermore, a significant alteration in macrophage polarisation state within the neointima of miR-21 WT and KO mice was noted. Immunohistochemical staining revealed a preponderance of anti-inflammatory M2 macrophages in KO mice. Analysis of bone marrow derived macrophages from miR-21 KO mice demonstrated an increased level of the peroxisome proliferation activating receptor-γ (PPARγ) which facilitates M2 polarisation. Importantly, significant alterations in numerous pro-inflammatory cytokines, which also have mitogenic effects, were also found following genetic deletion of miR-21. In Summary, this is the first study to look at miRs in the development of ISR. MiR-21 plays an important role in the development of ISR by influencing the proliferative response of VSMCs and modulating the immune response following stent deployment. Further attempts to modulate miR-21 expression following PCI may reduce ISR and the need for repeat revascularisation while also reducing the risk of stent thrombosis.

Sparse Signal Representation in Digital and Biological Systems

Theories of sparse signal representation, wherein a signal is decomposed as the sum of a small number of constituent elements, play increasing roles in both mathematical signal processing and neuroscience. This happens despite the differences between signal models in the two domains. After reviewing preliminary material on sparse signal models, I use work on compressed sensing for the electron tomography of biological structures as a target for exploring the efficacy of sparse signal reconstruction in a challenging application domain. My research in this area addresses a topic of keen interest to the biological microscopy community, and has resulted in the development of tomographic reconstruction software which is competitive with the state of the art in its field. Moving from the linear signal domain into the nonlinear dynamics of neural encoding, I explain the sparse coding hypothesis in neuroscience and its relationship with olfaction in locusts. I implement a numerical ODE model of the activity of neural populations responsible for sparse odor coding in locusts as part of a project involving offset spiking in the Kenyon cells. I also explain the validation procedures we have devised to help assess the model's similarity to the biology. The thesis concludes with the development of a new, simplified model of locust olfactory network activity, which seeks with some success to explain statistical properties of the sparse coding processes carried out in the network.

Rola białka Hfq w oddziaływaniu niekodujących RNA bakterii z sekwencją kodującą mRNA

Wydział Biologii: Instytut Biologii Molekularnej i Biotechnologii

Algebraic geometric codes over rings

The techniques of algebraic geometry have been widely and successfully applied to the study of linear codes over finite fields since the early 1980's. Recently, there has been an increased interest in the study of linear codes over finite rings. In this thesis, we combine these two approaches to coding theory by introducing and studying algebraic geometric codes over rings.

RoMEO Studies 8: self-archiving: the logic behind the colour-coding used in the Copyright Knowledge Bank

Purpose – The purpose of this research is to show how the self-archiving of journal papers is a major step towards providing open access to research. However, copyright transfer agreements (CTAs) that are signed by an author prior to publication often indicate whether, and in what form, self-archiving is allowed. The SHERPA/RoMEO database enables easy access to publishers' policies in this area and uses a colour-coding scheme to classify publishers according to their self-archiving status. The database is currently being redeveloped and renamed the Copyright Knowledge Bank. However, it will still assign a colour to individual publishers indicating whether pre-prints can be self-archived (yellow), post-prints can be self-archived (blue), both pre-print and post-print can be archived (green) or neither (white). The nature of CTAs means that these decisions are rarely as straightforward as they may seem, and this paper describes the thinking and considerations that were used in assigning these colours in the light of the underlying principles and definitions of open access. Approach – Detailed analysis of a large number of CTAs led to the development of controlled vocabulary of terms which was carefully analysed to determine how these terms equate to the definition and “spirit” of open access. Findings – The paper reports on how conditions outlined by publishers in their CTAs, such as how or where a paper can be self-archived, affect the assignment of a self-archiving colour to the publisher. Value – The colour assignment is widely used by authors and repository administrators in determining whether academic papers can be self-archived. This paper provides a starting-point for further discussion and development of publisher classification in the open access environment.

Macrophages and CD4 T-cells in rheumatoid arthritis and their modulation by JAK inhibitors

Background: Rheumatoid arthritis (RA) is a chronic inflammatory arthritis that causes significant morbidity and mortality and has no cure. Although early treatment strategies and biologic therapies such as TNFα blocking antibodies have revolutionised treatment, there still remains considerable unmet need. JAK kinase inhibitors, which target multiple inflammatory cytokines, have shown efficacy in treating RA although their exact mechanism of action remains to be determined. Stratified medicine promises to deliver the right drug to the right patient at the right time by using predictive ‘omic biomarkers discovered using bioinformatic and “Big Data” techniques. Therefore, knowledge across the realms of clinical rheumatology, applied immunology, bioinformatics and data science is required to realise this goal. Aim: To use bioinformatic tools to analyse the transcriptome of CD14 macrophages derived from patients with inflammatory arthritis and define a JAK/STAT signature. Thereafter to investigate the role of JAK inhibition on inflammatory cytokine production in a macrophage cell contact activation assay. Finally, to investigate JAK inhibition, following RA synovial fluid stimulation of monocytes. Methods and Results: Using bioinformatic software such as limma from the Bioconductor repository, I determined that there was a JAK/STAT signature in synovial CD14 macrophages from patients with RA and this differed from psoriatic arthritis samples. JAK inhibition using a JAK1/3 inhibitor tofacitinib reduced TNFα production when macrophages were cell contact activated by cytokine stimulated CD4 T-cells. Other pro-inflammatory cytokines such as IL-6 and chemokines such as IP-10 were also reduced. RA synovial fluid failed to stimulate monocytes to phosphorylate STAT1, 3 or 6 but CD4 T-cells activated STAT3 with this stimulus. RNA sequencing of synovial fluid stimulated CD4 T-cells showed an upregulation of SOCS3, BCL6 and SBNO2, a gene associated with RA but with unknown function and tofacitinib reversed this. Conclusion: These studies demonstrate that tofacitinib is effective at reducing inflammatory mediator production in a macrophage cell contact assay and also affects soluble factor mediated stimulation of CD4 T-cells. This suggests that the effectiveness of JAK inhibition is due to inhibition of multiple cytokine pathways such as IL-6, IL-15 and interferon. RNA sequencing is a useful tool to identify non-coding RNA transcripts that are associated with synovial fluid stimulation and JAK inhibition but these require further validation. SBNO2, a gene that is associated with RA, may be biomarker of tofacitinib treatment but requires further investigation and validation in wider disease cohorts.

Phylodynamic modelling of foot-and-mouth disease virus sequence data

The under-reporting of cases of infectious diseases is a substantial impediment to the control and management of infectious diseases in both epidemic and endemic contexts. Information about infectious disease dynamics can be recovered from sequence data using time-varying coalescent approaches, and phylodynamic models have been developed in order to reconstruct demographic changes of the numbers of infected hosts through time. In this study I have demonstrated the general concordance between empirically observed epidemiological incidence data and viral demography inferred through analysis of foot-and-mouth disease virus VP1 coding sequences belonging to the CATHAY topotype over large temporal and spatial scales. However a more precise and robust relationship between the effective population size (

NETCODE: an XOR-based warning dissemination scheme for vehicular wireless networks

The next generation of vehicles will be equipped with automated Accident Warning Systems (AWSs) capable of warning neighbouring vehicles about hazards that might lead to accidents. The key enabling technology for these systems is the Vehicular Ad-hoc Networks (VANET) but the dynamics of such networks make the crucial timely delivery of warning messages challenging. While most previously attempted implementations have used broadcast-based data dissemination schemes, these do not cope well as data traffic load or network density increases. This problem of sending warning messages in a timely manner is addressed by employing a network coding technique in this thesis. The proposed NETwork COded DissEmination (NETCODE) is a VANET-based AWS responsible for generating and sending warnings to the vehicles on the road. NETCODE offers an XOR-based data dissemination scheme that sends multiple warning in a single transmission and therefore, reduces the total number of transmissions required to send the same number of warnings that broadcast schemes send. Hence, it reduces contention and collisions in the network improving the delivery time of the warnings. The first part of this research (Chapters 3 and 4) asserts that in order to build a warning system, it is needful to ascertain the system requirements, information to be exchanged, and protocols best suited for communication between vehicles. Therefore, a study of these factors along with a review of existing proposals identifying their strength and weakness is carried out. Then an analysis of existing broadcast-based warning is conducted which concludes that although this is the most straightforward scheme, loading can result an effective collapse, resulting in unacceptably long transmission delays. The second part of this research (Chapter 5) proposes the NETCODE design, including the main contribution of this thesis, a pair of encoding and decoding algorithms that makes the use of an XOR-based technique to reduce transmission overheads and thus allows warnings to get delivered in time. The final part of this research (Chapters 6--8) evaluates the performance of the proposed scheme as to how it reduces the number of transmissions in the network in response to growing data traffic load and network density and investigates its capacity to detect potential accidents. The evaluations use a custom-built simulator to model real-world scenarios such as city areas, junctions, roundabouts, motorways and so on. The study shows that the reduction in the number of transmissions helps reduce competition in the network significantly and this allows vehicles to deliver warning messages more rapidly to their neighbours. It also examines the relative performance of NETCODE when handling both sudden event-driven and longer-term periodic messages in diverse scenarios under stress caused by increasing numbers of vehicles and transmissions per vehicle. This work confirms the thesis' primary contention that XOR-based network coding provides a potential solution on which a more efficient AWS data dissemination scheme can be built.

Front end development for building automation systems using JavaScript Frameworks

Automation technologies are widely acclaimed to have the potential to significantly reduce energy consumption and energy-related costs in buildings. However, despite the abundance of commercially available technologies, automation in domestic environments keep on meeting commercial failures. The main reason for this is the development process that is used to build the automation applications, which tend to focus more on technical aspects rather than on the needs and limitations of the users. An instance of this problem is the complex and poorly designed home automation front-ends that deter customers from investing in a home automation product. On the other hand, developing a usable and interactive interface is a complicated task for developers due to the multidisciplinary challenges that need to be identified and solved. In this context, the current research work investigates the different design problems associated with developing a home automation interface as well as the existing design solutions that are applied to these problems. The Qualitative Data Analysis approach was used for collecting data from research papers and the open coding process was used to cluster the findings. From the analysis of the data collected, requirements for designing the interface were derived. A home energy management functionality for a Web-based home automation front-end was developed as a proof-of-concept and a user evaluation was used to assess the usability of the interface. The results of the evaluation showed that this holistic approach to designing interfaces improved its usability which increases the chances of its commercial success.

Integrated visual perception architecture for robotic clothes perception and manipulation

This thesis proposes a generic visual perception architecture for robotic clothes perception and manipulation. This proposed architecture is fully integrated with a stereo vision system and a dual-arm robot and is able to perform a number of autonomous laundering tasks. Clothes perception and manipulation is a novel research topic in robotics and has experienced rapid development in recent years. Compared to the task of perceiving and manipulating rigid objects, clothes perception and manipulation poses a greater challenge. This can be attributed to two reasons: firstly, deformable clothing requires precise (high-acuity) visual perception and dexterous manipulation; secondly, as clothing approximates a non-rigid 2-manifold in 3-space, that can adopt a quasi-infinite configuration space, the potential variability in the appearance of clothing items makes them difficult to understand, identify uniquely, and interact with by machine. From an applications perspective, and as part of EU CloPeMa project, the integrated visual perception architecture refines a pre-existing clothing manipulation pipeline by completing pre-wash clothes (category) sorting (using single-shot or interactive perception for garment categorisation and manipulation) and post-wash dual-arm flattening. To the best of the author’s knowledge, as investigated in this thesis, the autonomous clothing perception and manipulation solutions presented here were first proposed and reported by the author. All of the reported robot demonstrations in this work follow a perception-manipulation method- ology where visual and tactile feedback (in the form of surface wrinkledness captured by the high accuracy depth sensor i.e. CloPeMa stereo head or the predictive confidence modelled by Gaussian Processing) serve as the halting criteria in the flattening and sorting tasks, respectively. From scientific perspective, the proposed visual perception architecture addresses the above challenges by parsing and grouping 3D clothing configurations hierarchically from low-level curvatures, through mid-level surface shape representations (providing topological descriptions and 3D texture representations), to high-level semantic structures and statistical descriptions. A range of visual features such as Shape Index, Surface Topologies Analysis and Local Binary Patterns have been adapted within this work to parse clothing surfaces and textures and several novel features have been devised, including B-Spline Patches with Locality-Constrained Linear coding, and Topology Spatial Distance to describe and quantify generic landmarks (wrinkles and folds). The essence of this proposed architecture comprises 3D generic surface parsing and interpretation, which is critical to underpinning a number of laundering tasks and has the potential to be extended to other rigid and non-rigid object perception and manipulation tasks. The experimental results presented in this thesis demonstrate that: firstly, the proposed grasp- ing approach achieves on-average 84.7% accuracy; secondly, the proposed flattening approach is able to flatten towels, t-shirts and pants (shorts) within 9 iterations on-average; thirdly, the proposed clothes recognition pipeline can recognise clothes categories from highly wrinkled configurations and advances the state-of-the-art by 36% in terms of classification accuracy, achieving an 83.2% true-positive classification rate when discriminating between five categories of clothes; finally the Gaussian Process based interactive perception approach exhibits a substantial improvement over single-shot perception. Accordingly, this thesis has advanced the state-of-the-art of robot clothes perception and manipulation.

Filling in gaps of Drosophila melanogaster urate degradation metabolic pathway using metabolomics approaches: towards the core metabolome of the fruit fly

The primary goal of systems biology is to integrate complex omics data, and data obtained from traditional experimental studies in order to provide a holistic understanding of organismal function. One way of achieving this aim is to generate genome-scale metabolic models (GEMs), which contain information on all metabolites, enzyme-coding genes, and biochemical reactions in a biological system. Drosophila melanogaster GEM has not been reconstructed to date. Constraint-free genome-wide metabolic model of the fruit fly has been reconstructed in our lab, identifying gaps, where no enzyme was identified and metabolites were either only produced or consume. The main focus of the work presented in this thesis was to develop a pipeline for efficient gap filling using metabolomics approaches combined with standard reverse genetics methods, using 5-hydroxyisourate hydrolase (5-HIUH) as an example. 5-HIUH plays a role in urate degradation pathway. Inability to degrade urate can lead to inborn errors of metabolism (IEMs) in humans, including hyperuricemia. Based on sequence analysis Drosophila CG30016 gene was hypothesised to encode 5- HIUH. CG30016 knockout flies were examined to identify Malpighian tubules phenotype, and shortened lifespan might reflect kidney disorders in hyperuricemia in humans. Moreover, LC-MS analysis of mutant tubules revealed that CG30016 is involved in purine metabolism, and specifically urate degradation pathway. However, the exact role of the gene has not been identified, and the complete method for gap filling has not been developed. Nevertheless, thanks to the work presented here, we are a step closer towards the development of a gap-filling pipeline in Drosophila melanogaster GEM. Importantly, the areas that require further optimisation were identified and are the focus of future research. Moreover, LC-MS analysis confirmed that tubules rather than the whole fly were more suitable for metabolomics analysis of purine metabolism. Previously, Dow/Davies lab has generated the most complete tissue-specific transcriptomic atlas for Drosophila – FlyAtlas.org, which provides data on gene expression across multiple tissues of adult fly and larva. FlyAtlas revealed that transcripts of many genes are enriched in specific Drosophila tissues, and that it is possible to deduce the functions of individual tissues within the fly. Based on FlyAtlas data, it has become clear that the fly (like other metazoan species) must be considered as a set of tissues, each 2 with its own distinct transcriptional and functional profile. Moreover, it revealed that for about 30% of the genome, reverse genetic methods (i.e. mutation in an unknown gene followed by observation of phenotype) are only useful if specific tissues are investigated. Based on the FlyAtlas findings, we aimed to build a primary tissue-specific metabolome of the fruit fly, in order to establish whether different Drosophila tissues have different metabolomes and if they correspond to tissue-specific transcriptome of the fruit fly (FlyAtlas.org). Different fly tissues have been dissected and their metabolome elucidated using LC-MS. The results confirmed that tissue metabolomes differ significantly from each other and from the whole fly, and that some of these differences can be correlated to the tissue function. The results illustrate the need to study individual tissues as well as the whole organism. It is clear that some metabolites that play an important role in a given tissue might not be detected in the whole fly sample because their abundance is much lower in comparison to other metabolites present in all tissues, which prevent the detection of the tissue-specific compound.