Double star chopper cell converter for battery electric vehicles with inter-module SoC balancing and fault tolerant control

A modularized battery system with Double Star Chopper Cell (DSCC) based modular multilevel converter is proposed for a battery operated electric vehicle (EV). A design concept for the modularized battery micro-packs for DSCC is described. Multidimensional pulse width modulation (MD-PWM) with integrated inter-module SoC balancing and fault tolerant control is proposed and explained. The DSCC can be operated either as an inverter to drive the EV motor or as a synchronous rectifier connected to external three phase power supply equipment for charging the battery micro-packs. The methods of operation as inverter and synchronous rectifier with integrated inter-module SoC balancing and fault tolerant control are discussed. The proposed system operation as inverter and synchronous rectifier are verified through simulations and the results are presented.

Soft-switching single inductor current-fed push-pull converter for PV applications

A switching control strategy is proposed for single inductor current-fed push-pull converter with a secondary side active voltage doubler rectifier or a voltage rectifier used in photovoltaic (PV) grid interfacing. The proposed switching control strategy helps to turn-on and turn-off the primary side power switches with zero-voltage and zero-current switching. The operation of the push-pull converter is analyzed for two modes of operation. The feasibility of the proposed switching control strategy is validated using simulation and experimental results.

Pivotal people, pivotal journeys: Interim report on the impact of a fundraising study tour on CEOs and their organisations

A longitudinal qualitative study was conducted with CEOs of 12 fundraising organisations across Australia to answer the question - how mights a change in the CEO's fundraising knowledge improve fundraising activity and outcomes for their organisation? The CEOs along with the inaugural Australian Grantmaker of the Year, Caitriona Fay from Perpetual and lead researcher Dr Wendy Scaife travelled to San Antonio, Texas, USA to attend the annual Association of Fundraising Professionals (AFP) conference in March 2014. Participants identified five main success factors for such group learning initiatives about fundraising: - Getting away from the day to day business of running the organisation - Informal, social time to debrief and get to know others - Diversity of organisations whereby no one was in direct competition to others - Commitment, openness and willingness of individuals to participate - Group facilitation This research has been supported by the Perpetual Foundation – Trustees Endowment, The Edward Corbould Charitable Trust, and the Samuel and Eileen Gluyas Charitable Trust under the management of Perpetual Trustee Company Ltd.

Posters versus lurkers: Improving participation in enterprise social networks through promotional messages

Enterprise social networks (ESNs) often fail if there are few or no contributors of content. Promotional messages are among the common interventions used to improve participation. While most users only read others’ content (i.e. lurk), contributors who create content (i.e. post) account for only 1% of the users. Research on interventions to improve participation across dissimilar groups is scarce especially in work settings. We develop a model that examines four key motivations of posting and lurking. We employ the elaboration likelihood model to understand how promotional messages influence lurkers’ and posters’ beliefs and participation. We test our model with data collected from 366 members in two corporate Google⁺ communities in a large Australian retail organization. We find that posters and lurkers are motivated and hindered by different factors. Promotional messages do not – always – yield the hoped-for results among lurkers; however, they do make posters more enthusiastic to participate.

Epidemiology of ankylosing spondylitis: IGAS 2009

The International Genetics of Ankylosing Spondylitis (IGAS) meeting was held in Houston, Texas, July 25, 2009. Sixteen investigators from Asia, Australia, Europe, and North and South America presented the status of their respective cohorts of patients with ankylosing spondylitis (AS). They also reviewed a proposal to examine their patients by single-nucleotide polymorphism (SNP) genotyping on an Illumina Infinium microarray SNP genotyping chip in a case-control cohort exceeding 12,000 samples. This chip will type 200,000 SNP selected from the most strongly associated variants identified in genome-wide association studies of inflammatory diseases, including inflammatory bowel disease, psoriasis, and ankylosing spondylitis.

The genetic basis of spondyloarthritis: SPARTAN/IGAS 2009

A joint meeting was held in July 2009 in Houston, Texas, of members of the Spondyloarthritis Research and Therapy Network (SPARTAN), founded in 2003 to promote research, education, and treatment of ankylosing spondylitis (AS) and related forms of spondyloarthritis (SpA), and members of International Genetics of AS (IGAS), founded in 2003 to encourage and coordinate studies internationally in the genetics of AS. The general topic was the genetic basis of SpA, with presentations on the future of human genetic studies; microbes, SpA, and innate immunity; susceptibility of AS to the major histocompatibility complex (MHC) and non-MHC; and individual discussions of the genetics of psoriasis and psoriatic arthritis, uveitis, inflammatory bowel disease, and enteropathic arthritis. Summaries of those discussions are presented.

Radish sprouts versus broccoli sprouts: a comparison of anti-cancer potential based on glucosinolate breakdown products.

Radish sprouts and broccoli sprouts have been implicated in having a potential chemoprotective effect against certain types of cancer. Each contains a glucosinolate that can be broken down to an isothiocyanate capable of inducing chemoprotective factors known as phase 2 enzymes. In the case of broccoli, the glucosinolate, glucoraphanin, is converted to an isothiocyanate, sulforaphane, while in radish a similar glucosinolate, glucoraphenin, is broken down to form the isothiocyanate, sulforaphene. When sprouts are consumed fresh (uncooked), however, the principal degradation product of broccoli is not the isothiocyanate sulforaphane, but a nitrile, a compound with little anti-cancer potential. By contrast, radish sprouts produce largely the anti-cancer isothiocyanate, sulforaphene. The reason for this difference is likely to be due to the presence in broccoli (and absence in radish) of the enzyme cofactor, epithiospecifier protein (ESP). In vitro induction of the phase 2 enzyme, quinone reductase (QR), was significantly greater for radish sprouts than broccoli sprouts when extracts were self-hydrolysed. By contrast, boiled radish sprout extracts (deactivating ESP) to which myrosinase was subsequently added, induced similar QR activity to broccoli sprouts. The implication is that radish sprouts have potentially greater chemoprotective action against carcinogens than broccoli sprouts when hydrolysed under conditions similar to that during human consumption.

When using small samples to evaluate hydrocarbon reservoirs, proceed with caution

Small-angle neutron scattering (SANS) and ultra-small angle neutron scattering (USANS) with contrast matching techniques (Melnichenko and others, 2012) were used to investigate size distribution and gas accessibility in pores in an approximately 10.6 cm long Mississippian Barnett Shale butt core from the Fort Worth Basin, Texas, USA. SANS and USANS measurements record scattering from all pores, both open and closed, in the size range 10nm - ~10 μ. The techniques can also be used to determine the material that contains pores and the number of pores as a function of size. By injecting deuterated methane gas (CD4) at contrast matching pressure it is possible to distinguish which pores are accessible, or open, to fluids and which ones are not.

Issues of Digital Ecosystems Approach to Biological Ecosystem Simulation Model Fit Optimization

This study examines the application of digital ecosystems concepts to a biological ecosystem simulation problem. The problem involves the use of a digital ecosystem agent to optimize the accuracy of a second digital ecosystem agent, the biological ecosystem simulation. The study also incorporates social ecosystems, with a technological solution design subsystem communicating with a science subsystem and simulation software developer subsystem to determine key characteristics of the biological ecosystem simulation. The findings show similarities between the issues involved in digital ecosystem collaboration and those occurring when digital ecosystems interact with biological ecosystems. The results also suggest that even precise semantic descriptions and comprehensive ontologies may be insufficient to describe agents in enough detail for use within digital ecosystems, and a number of solutions to this problem are proposed.

N-acetyl-β-D-glucosaminidaasi-entsyymiaktiivisuus normaalimaidossa sekä utaretulehdusta sairastavien lypsylehmien maidossa.

N-acetyl-β-D-glucosaminidaasi (NAGaasi) on glykosidaaseihin kuuluva, solujen lysosomeissa esiintyvä entsyymi, jota vapautuu maitoon utaretulehduksen aikana vaurioituneista utareen epiteelisoluista, neutrofiileistä ja makrofageista. NAGaasientsyymiaktiivisuuden on useissa tutkimuksissa havaittu korreloivan utareen tulehdustilan ja maidon soluluvun (SCC) kanssa ja sitä on ehdotettu käytettäväksi utareen epiteelisolutuhon mittaamiseen yksinään tai yhdistettynä SCC:n määritykseen. Koska saostuminen ei häiritse NAGaasi-entsyymiaktiivisuuden mittausta maidosta, entsyymiaktiivisuus ei muutu maitoa säilytettäessä ja entsyymin mittaaminen on melko yksinkertaista ja nopeaa, menetelmä vaikuttaisi sopivan hyvin seulontatestiksi piileville utaretulehduksille. NAGaasin käyttö on toistaiseksi rajoittunut tutkimuskäyttöön. Sen hyödyntämistä vaikeuttaa se, että terveille lehmille eri tutkimuksissa määritetyissä NAGaasi-entsyymiaktiivisuuden viitearvoissa on suurta vaihtelua. NAGaasi-entsyymiaktiivisuus maidossa on useiden tutkimusten mukaan korkeampi silloin, kun tulehduksen on aiheuttanut jokin merkittävä patogeeni kuin silloin, kun tulehduksen taustalla on vähäpätöinen patogeeni. Lypsykauden vaiheen on havaittu vaikuttavan maidon NAGaasi-entsyymiaktiivisuuteen siten, että aktiivisuudet ovat korkeampia heti poikimisen jälkeen ja lypsykauden lopulla. On myös havaittu, että normaalimaidossa NAGaasi-entsyymiaktiivisuus on hieman korkeampi loppumaidossa kuin alkumaidossa. Poikimakerran vaikutuksista NAGaasi-entsyymiaktiivisuuteen on ristiriitaisia tutkimustuloksia. Tämän tutkimuksen tavoitteena oli määrittää NAGaasi-entsyymiaktiivisuuden viitearvot terveen sekä utaretulehdusta sairastavan lypsylehmän maidossa, sekä selvittää tulehduksen voimakkuuden, aiheuttajapatogeenin, poikimakerran ja lypsykauden vaiheen vaikutusta kyseisen entsyymin aktiivisuuteen maidossa. Tutkimusaineistossa oli mukana kaikkiaan 838 vuosina 2000–2010 otettua maitonäytettä 62 eri lypsykarjatilalta Suomesta ja Virosta. Normaalimaidon NAGaasi-entsyymiaktiivisuuden viitearvot määritettiin yhdeksältä suomalaiselta lypsykarjatilalta kerätyistä 196 maitonäytteestä, jotka täyttivät asettamamme normaalimaidon kriteerit. Normaalimaidon kriteerit olivat seuraavat: SCC < 100 000, lehmällä ei ole utaretulehduksen oireita, poikimisesta on kulunut aikaa yli 30 vuorokautta ja edellisestä lypsystä yli 6 tuntia. NAGaasi-entsyymiaktiivisuus mitattiin modifioidulla Mattilan menetelmällä (Mattila 1985) vakioiduissa olosuhteissa. Aineisto analysoitiin käyttäen Stata Intercooler tilasto-ohjelman versiota 11.0 (Stata Corporation, Texas, USA). Maidon NAGaasientsyymiaktiivisuuteen terveessä neljänneksessä vaikuttavia tekijöitä tutkittiin lineaarisella sekamallilla, jossa sekoittavana tekijänä oli tila. SCC:n ja NAGaasi-entsyymiaktiivisuuden korrelaatiota arvioitiin terveillä lehmillä, piilevää utaretulehdusta sairastaneilla lehmillä ja koko aineistossa. Korrelaatiot laskettiin Pearsonin korrelaatiokertoimella. Tilastollisesti merkitsevänä raja-arvona kaikissa analyyseissä pidettiin p < 0.05. Normaalimaidon NAGaasi-entsyymiaktiivisuuden viitearvoiksi lehmillä, joilla poikimisesta oli kulunut yli 30 vrk, saatiin 0,09–1,04 pmol/min/μl maitoa. Verrattuna normaalimaidon NAGaasi-entsyymiaktiivisuuksien keskiarvoon (0,56) ja piilevää utaretulehdusta sairastaneiden lehmien NAGaasi-entsyymiaktiivisuuksien keskiarvoon (2,49), kliinistä utaretulehdusta sairastavien lehmien maidon NAGaasi-entsyymiaktiivisuus oli keskimäärin selvästi korkeampi (16,65). Keskiarvoissa oli selvä ero paikallisoireisten (12,24) ja yleisoireisten (17,74) lehmien välillä. Terveiden neljännesten maitonäytteistä määritetyn NAGaasi-entsyymiaktiivisuuden ja SCC:n välillä ei havaittu korrelaatiota. Piilevässä utaretulehduksessa havaittiin positiivinen korrelaatio (0,74) maidon NAGaasientsyymiaktiivisuuden ja SCC:n välillä. NAGaasi-entsyymiaktiivisuuteen vaikuttivat tilastollisesti merkitsevästi SCC, poikimisesta kulunut aika ja poikimakerta. Eri patogeeniryhmien osalta havaitsimme, että neljänneksissä, joista eristettiin vähäpätöinen patogeeni, NAGaasi-entsyymiaktiivisuus oli selvästi matalampi kuin neljänneksissä, joista eristettiin merkittävä patogeeni. NAGaasi-entsyymiaktiivisuuden keskiarvoksi vähäpätöisille patogeeneille (KNS, koryneformi) saatiin 2,82 ja merkittäville patogeeneille (S. aureus, Str. uberis, Str, agalactiae, Str. dysgalactiae, E.coli) 16,87.

Fast-Group-Decodable STBCs via Codes over GF(4)

In this paper we construct low decoding complexity STBCs by using the Pauli matrices as linear dispersion matrices. In this case the Hurwitz-Radon orthogonality condition is shown to be easily checked by transferring the problem to $\mathbb{F}_4$ domain. The problem of constructing low decoding complexity STBCs is shown to be equivalent to finding certain codes over $\mathbb{F}_4$. It is shown that almost all known low complexity STBCs can be obtained by this approach. New codes are given that have the least known decoding complexity in particular ranges of rate.

Information-theoretically secure regenerating codes for distributed storage

Regenerating codes are a class of codes for distributed storage networks that provide reliability and availability of data, and also perform efficient node repair. Another important aspect of a distributed storage network is its security. In this paper, we consider a threat model where an eavesdropper may gain access to the data stored in a subset of the storage nodes, and possibly also, to the data downloaded during repair of some nodes. We provide explicit constructions of regenerating codes that achieve information-theoretic secrecy capacity in this setting.

Capacity of fading gaussian channel with an energy harvesting sensor node

Network life time maximization is becoming an important design goal in wireless sensor networks. Energy harvesting has recently become a preferred choice for achieving this goal as it provides near perpetual operation. We study such a sensor node with an energy harvesting source and compare various architectures by which the harvested energy is used. We find its Shannon capacity when it is transmitting its observations over a fading AWGN channel with perfect/no channel state information provided at the transmitter. We obtain an achievable rate when there are inefficiencies in energy storage and the capacity when energy is spent in activities other than transmission.