658 research outputs found

    Mapping Structural Knowledge of Scientific Creationism to Direct Information and Object Structure Design in Planning Textbooks and Educational Materials

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    A worldview, such as that defined by Institute for Creation Research tenets of scientific creationism, is a cognitive structure or schemata that impacts human information processing and learning. Cognitive research indicates that there is not a physical referent for such structural knowledge in the human brain. But planners and writers of educational materials view structural knowledge or worldview as a useful metaphor for describing how the human brain constructs or structures knowledge. Research indicates that structural knowledge is tied to memory processes, problem solving, learning, and knowledge acquisition. This paper focuses on the use of mapping techniques to plan and design instructional experiences for materials or programs intended to advance learners’ development of structural knowledge (worldview) presented in the Institute for Creation Research tenets for scientific creationism

    A Guide to Distributed Digital Preservation

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    This volume is devoted to the broad topic of distributed digital preservation, a still-emerging field of practice for the cultural memory arena. Replication and distribution hold out the promise of indefinite preservation of materials without degradation, but establishing effective organizational and technical processes to enable this form of digital preservation is daunting. Institutions need practical examples of how this task can be accomplished in manageable, low-cost ways."--P. [4] of cove

    Spatial Distribution and Quantification of Forest Treatment Residues for Bioenergy Production

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    The availability and spatial distribution of forest treatment residues are prerequisites to supply chain development for bioenergy production. To accurately estimate potential residue quantities, data must be provided to simulate stand-level silviculture across the landscape of interest. However, biomass utilization assessments often consider broad regions where adequate data are not supplied. At present, these measures are addressed using strategic level assessments and broad-based management that may not be applicable to all areas of the landscape. This thesis introduces a new methodology for spatially describing stand-level treatment residue quantities based on detailed silvicultural prescriptions and site specific management. Using National Agricultural Imagery Program (NAIP) imagery, the forest is segmented into treatment units based on user defined size constraints. Using a remote sensing model based on NAIP imagery and Forest Inventory and Analysis plot data, these units are attributed with stand-level descriptions of basal area, tree density, above ground biomass, and quadratic mean diameter . The outputs are used to develop silvicultural prescriptions and estimate available treatment residues under three alternative management scenarios at a range of delivered prices per bone dried ton (bdt) to a nearby bioenergy facility in southwestern Colorado. Using a marginal cost approach where treatment costs were covered by merchantable yields, the breakeven delivered price of treatment residues in this study is $48.94 per bdt yielding 167,685 bdt following a 10 year management simulation at a 5,000 acre per year annual allowable treatment level

    Uniform system of accounts for electric companies

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    Now on this 27th day of October, 1922, the above matter comes on for final consideration and order by the Commission. It appearing that no uniform system of accounts for electric companies has been authorized by this Commission, and that under the authority of section 8357 of the General Statutes of Kansas for 1915, this Commission should prescribe a system of accounts for such companies, the Commission having investigated the matter and being fully advised therein, finds that the uniform system of accounts for electric companies hereinafter referred to should be adopted, in accordance with the order herein contained

    Distributed, decentralised and compensational mechanisms for platoon formation

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    Verkehrsprobleme nehmen mit der weltweiten Urbanisierung und der Zunahme der Anzahl der Fahrzeuge pro Kopf zu. Platoons, eine Formation von eng hintereinander fahrenden Fahrzeugen, stellen sich als mögliche Lösung dar, da bestehende Forschungen darauf hinweisen, dass sie zu einer besseren Straßenauslastung beitragen, den Kraftstoffverbrauch und die Emissionen reduzieren und Engpässe schneller entlasten können. Rund um das Thema Platooning gibt es viele Aspekte zu erforschen: Sicherheit, Stabilität, Kommunikation, Steuerung und Betrieb, die allesamt notwendig sind, um den Einsatz von Platooning im Alltagsverkehr näher zu bringen. Während in allen genannten Bereichen bereits umfangreiche Forschungen durchgeführt wurden, gibt es bisher nur wenige Arbeiten, die sich mit der logischen Gruppierung von Fahrzeugen in Platoons beschäftigen. Daher befasst sich diese Arbeit mit dem noch wenig erforschten Problem der Platoonbildung, wobei sich die vorhandenen Beispiele mit auf Autobahnen fahrenden Lastkraftwagen beschäftigen. Diese Fälle befinden sich auf der strategischen und taktischen Ebene der Planung, da sie von einem großen Zeithorizont profitieren und die Gruppierung entsprechend optimiert werden kann. Die hier vorgestellten Ansätze befinden sich hingegen auf der operativen Ebene, indem Fahrzeuge aufgrund der verteilten und dezentralen Natur dieser Ansätze spontan und organisch gruppiert und gesteuert werden. Dadurch entstehen sogenannte opportunistische Platoons, die aufgrund ihrer Flexibilität eine vielversprechende Voraussetzung für alle Netzwerkarte bieten könnten. Insofern werden in dieser Arbeit zwei neuartige Algorithmen zur Bildung von Platoons vorgestellt: ein verteilter Ansatz, der von klassischen Routing-Problemen abgeleitet wurde, und ein ergänzender dezentraler kompensatorischer Ansatz. Letzteres nutzt automatisierte Verhandlungen, um es den Fahrzeugen zu erleichtern, sich auf der Basis eines monetären Austausches in einem Platoon zu organisieren. In Anbetracht der Tatsache, dass alle Verkehrsteilnehmer über eine Reihe von Präferenzen, Einschränkungen und Zielen verfügen, muss das vorgeschlagene System sicherstellen, dass jede angebotene Lösung für die einzelnen Fahrzeuge akzeptabel und vorteilhaft ist und den möglichen Aufwand, die Kosten und die Opfer überwiegt. Dies wird erreicht, indem den Platooning-Fahrzeugen eine Form von Anreiz geboten wird, im Sinne von entweder Kostensenkung oder Ampelpriorisierung. Um die vorgeschlagenen Algorithmen zu testen, wurde eine Verkehrssimulation unter Verwendung realer Netzwerke mit realistischer Verkehrsnachfrage entwickelt. Die Verkehrsteilnehmer wurden in Agenten umgewandelt und mit der notwendigen Funktionalität ausgestattet, um Platoons zu bilden und innerhalb dieser zu operieren. Die Anwendbarkeit und Eignung beider Ansätze wurde zusammen mit verschiedenen anderen Aspekten untersucht, die den Betrieb von Platoons betreffen, wie Größe, Verkehrszustand, Netzwerkpositionierung und Anreizmethoden. Die Ergebnisse zeigen, dass die vorgeschlagenen Mechanismen die Bildung von spontanen Platoons ermöglichen. Darüber hinaus profitierten die teilnehmenden Fahrzeuge mit dem auf verteilter Optimierung basierenden Ansatz und unter Verwendung kostensenkender Anreize unabhängig von der Platoon-Größe, dem Verkehrszustand und der Positionierung, mit Nutzenverbesserungen von 20% bis über 50% im Vergleich zur untersuchten Baseline. Bei zeitbasierten Anreizen waren die Ergebnisse uneinheitlich, wobei sich der Nutzen einiger Fahrzeuge verbesserte, bei einigen keine Veränderung eintrat und bei anderen eine Verschlechterung zu verzeichnen war. Daher wird die Verwendung solcher Anreize aufgrund ihrer mangelnden Pareto-Effizienz nicht empfohlen. Der kompensatorische und vollständig dezentralisierte Ansatz weißt einige Vorteile auf, aber die daraus resultierende Verbesserung war insgesamt vernachlässigbar. Die vorgestellten Mechanismen stellen einen neuartigen Ansatz zur Bildung von Platoons dar und geben einen aussagekräftigen Einblick in die Mechanik und Anwendbarkeit von Platoons. Dies schafft die Voraussetzungen für zukünftige Erweiterungen in der Planung, Konzeption und Implementierung effektiverer Infrastrukturen und Verkehrssysteme.Traffic problems have been on the rise corresponding with the increase in worldwide urbanisation and the number of vehicles per capita. Platoons, which are a formation of vehicles travelling close together, present themselves as a possible solution, as existing research indicates that they can contribute to better road usage, reduce fuel consumption and emissions and decongest bottlenecks faster. There are many aspects to be explored pertaining to the topic of platooning: safety, stability, communication, controllers and operations, all of which are necessary to bring platoons closer to use in everyday traffic. While extensive research has already made substantial strides in all the aforementioned fields, there is so far little work on the logical grouping of vehicles in platoons. Therefore, this work addresses the platoon formation problem, which has not been heavily researched, with existing examples being focused on large, freight vehicles travelling on highways. These cases find themselves on the strategic and tactical level of planning since they benefit from a large time horizon and the grouping can be optimised accordingly. The approaches presented here, however, are on the operational level, grouping and routing vehicles spontaneously and organically thanks to their distributed and decentralised nature. This creates so-called opportunistic platoons which could provide a promising premise for all networks given their flexibility. To this extent, this thesis presents two novel platoon forming algorithms: a distributed approach derived from classical routing problems, and a supplementary decentralised compensational approach. The latter uses automated negotiation to facilitate vehicles organising themselves in a platoon based on monetary exchanges. Considering that all traffic participants have a set of preferences, limitations and goals, the proposed system must ensure that any solution provided is acceptable and beneficial for the individual vehicles, outweighing any potential effort, cost and sacrifices. This is achieved by offering platooning vehicles some form of incentivisation, either cost reductions or traffic light prioritisation. To test the proposed algorithms, a traffic simulation was developed using real networks with realistic traffic demand. The traffic participants were transformed into agents and given the necessary functionality to build platoons and operate within them. The applicability and suitability of both approaches were investigated along with several other aspects pertaining to platoon operations such as size, traffic state, network positioning and incentivisation methods. The results indicate that the mechanisms proposed allow for spontaneous platoons to be created. Moreover, with the distributed optimisation-based approach and using cost-reducing incentives, participating vehicles benefited regardless of the platoon size, traffic state and positioning, with utility improvements ranging from 20% to over 50% compared to the studied baseline. For time-based incentives the results were mixed, with the utility of some vehicles improving, some seeing no change and for others, deteriorating. Therefore, the usage of such incentives would not be recommended due to their lack of Pareto-efficiency. The compensational and completely decentralised approach shows some benefits, but the resulting improvement was overall negligible. The presented mechanisms are a novel approach to platoon formation and provide meaningful insight into the mechanics and applicability of platoons. This sets the stage for future expansions into planning, designing and implementing more effective infrastructures and traffic systems

    Preserving Our Collections, Preserving Our Missions

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    A Guide to Distributed Digital Preservation is intentionally structured such that every chaptercan stand on its own or be paired with other segments of the book at will, allowing readers topick their own pathway through the guide as best suits their needs. This approach hasnecessitated that the authors and editors include some level of repetition of basic principlesacross chapters, and has also made the Glossary (included at the back of this guide) an essentialreference resource for all readers.This guide is written with a broad audience in mind that includes librarians, curators, archivists,scholars, technologists, lawyers, and administrators. Any resourceful reader should be able to usethis guide to gain both a philosophical and practical understanding of the emerging field ofdistributed digital preservation (DDP), including how to establish or join a Private LOCKSSNetwork (PLN)

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    Novel molecular techniques for diagnostics and cancer biology

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    Molecular biology is reliant on a large set of increasingly complex methods. The development of high-throughput DNA sequencing almost 20 years ago kicked off a revolution in method development due to its incredible versatility. Besides determining the genomic DNA sequence itself, sequencing has been used to profile gene expression, investigate binding of proteins to DNA and RNA, trace cell lineages, screen for genes involved in biological processes, assay 3D organization of chromatin, and much more. Most of these methods have been immensely useful in cancer biology, helping us to understand the mechanisms of this complex disease and find new ways to battle it. But sequencing is not necessary if the mere presence or absence of a nucleic acid is impotant. In order to be able to rapidly diagnose viral diseases, crucial during pandemics such as the recent COVID-19, simpler methods are more useful. Various nucleic acid detection methods have been developed for molecular diagnostics, which can provide an answer within minutes. In this thesis, the fields of high-throughput sequencing, cancer biology, and molecular viral diagnostics are reviewed, since the work presented here consists of three projects dealing with these different topics. In Paper I, we present a novel method for detecting low frequency variants in DNA. Such variants are important in applications such as genetic heterogeneity or minimal residual disease in cancer. However, their detection is hampered by the errors in sequencing data. To circumvent this, one approach is to attach double-stranded unique molecular identifier sequences (dsUMIs) to the ends of each DNA fragment before sequencing. This allows to compare reads originating from the same original molecule and form consensus sequences, removing most errors in the process. However, protocols that achieve this are challenging to perform. We developed a novel, simplified library preparation approach called one pot double-stranded UMI sequencing (OPUSeq) that adds dsUMIs to DNA in the same reaction as the PCR. We demonstrate that OPUSeq efficiently removes errors in sequencing data and can be used to detect variants down to 0.01% variant allele frequency. Using OPUSeq, we also found a novel type of artifact that arises when fragmentase enzyme mix is used in library preparation. In Paper II, we investigated the existence of genetic factors that regulate cell state plasticity in cancer. Cancer cells are known to be capable of phenotypic cell state transitions that help them evade treatment. In certain cancer cell line models, such as the chronic myeloid leukemia (CML) K562, the cells are observed to adopt and switch between different states even in the absence of any specific stimuli. As our model system, we used the heterogeneous expression of CD24 protein in K562 as a marker for differential cell states. We designed two orthogonal genome-wide CRISPR-Cas9 knockout screening approaches to look for genes which regulate the spontaneous transitions between CD24-positive and CD24-negative states. We performed both screens and combined the data to produce a list of 49 plasticity regulator candidate genes. We further showed that seven of these genes are differentially expressed between CML patients exhibiting early molecular response to imatinib and those who do not, indicating a connection between plasticity and drug resistance. Finally, we validate one of the plasticity impeding candidates, ALDOB, by generating a single knockout model and demonstrating the increased ability of these cells to undergo state transitions. In Paper III, we present a protocol for detection of SARS-CoV-2 RNA in unextracted patient samples using reverse transcription loop mediated isothermal amplification (RT-LAMP) with non-commercial enzymes. This protocol provides an alternative diagnostic method for situations where RT-LAMP and RNA extraction reagents are scarce. First, we showed how reverse transcriptases (RT) and strand-displacing polymerases necessary for RT-LAMP can be expressed and purified in-house. We tested different enzymes and LAMP primer sets and optimized the reaction conditions. Benchmarking showed that our in-house mix performs similarly to or even better than commercial alternatives. Finally, we tested our protocol on heat-inactivated, unextracted nasopharyngeal samples from patients and found that it exhibited good specificity as well as good sensitivity in samples with moderate to high viral load
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