To Petra via Jabal Haroun : Nabataean-Roman road remains in the Finnish Jabal Haroun Project survey area

Työ käsittelee Finnish Jabal Haroun Project -tutkimusryhmän Etelä-Jordaniasta inventoimalla keräämää arkeologista aineistoa (vuosilta 1999-2005) tietutkimuksen kannalta. Työn tarkoituksena on selvittää, miksi tutkimusalueella, Aaronin vuoren ympäristössä, sijaitsee tien jäänteitä ja miten tie on maastossa muinoin kulkenut. Lisäksi työ analysoi tien varsilla havaittujen rakennusten jäännösten suhdetta tiehen ja pyrkii ajoittamaan tien käyttöajankohdan (ajankohdat). Työn alkuoletuksena on, että pääosa tienvarsirakennuksista on liitettävissä tiehen ja tien sijoittuminen tutkimusalueelle johtuu pitkälti lähistöllä sijaitsevan Petran noususta merkittäväksi, Nabatealaisten harjoittaman kaupan keskukseksi, Lähi-idässä ajanlaskun alkuun mennessä. Tien jäänteitä tarkastellaan maisema-arkeologisin perustein. Tämä tarkoittaa sitä, että analyysissä korostuvat sekä kulttuuriset että ympäristölliset vaikuttimet. Niiden välistä, aikaan sidottua, suhdetta arvioidaan menneen ihmistoiminnan selittämiseksi. Tutkimusmenetelmät ovat paikkatietojärjestelmien soveltaminen, kohdekohtainen arkeologisen aineiston ja sijainnin tutkiminen, vertailevan aineiston käyttö sekä kolmiulotteinen tarkastelu. Tie ajoitetaan tienvarsikohteiden keramiikkalöytöjen avulla sekä rakenneanalyysin perusteella. Tutkimus osoittaa tien syntyneen alueen sijainnin takia. Sijainti oli edullinen suhteessa luonnonvaroihin, asutuskeskuksiin ja luontaisiin kulkuväyliin. Tien rakentajat osasivat taidokkaasti hyödyntää alueen luonnonpiirteitä ja käyttivät erityisiä menetelmiä vaikeiden tieosuuksien turvaamiseksi luonnonvoimien tuhoilta. Suurin osa tienvarsirakenteista voidaan katsoa johtuvan suoraan tien olemassaolosta, pieni osa rakenteista palveli pääsääntöisesti muita maankäytön muotoja. Petran vaikutus tien olemassaoloon ja muotoon oli suuri, kaupungin kehitys ja kukoistus näkyvät tiehen liitettävässä arkeologisessa aineistossa. Tien aktiivinen käyttö näyttää jatkuneen myös Roomalaisaikaan ensimmäisille vuosisadoille jKr., jonka jälkeen se hitaasti hiipui.

Understanding the chemistry of atmospheric aerosol particle formation via observations of physical properties

It is widely accepted that the global climate is heating up due to human activities, such as burning of fossil fuels. Therefore we find ourselves forced to make decisions on what measures, if any, need to be taken to decrease our warming effect on the planet before any irrevocable damage occurs. Research is being conducted in a variety of fields to better understand all relevant processes governing Earth s climate, and to assess the relative roles of anthropogenic and biogenic emissions into the atmosphere. One of the least well quantified problems is the impact of small aerosol particles (both of anthropogenic and biogenic origin) on climate, through reflecting solar radiation and their ability to act as condensation nuclei for cloud droplets. In this thesis, the compounds driving the biogenic formation of new particles in the atmosphere have been examined through detailed measurements. As directly measuring the composition of these newly formed particles is extremely difficult, the approach was to indirectly study their different characteristics by measuring the hygroscopicity (water uptake) and volatility (evaporation) of particles between 10 and 50 nm. To study the first steps of the formation process in the sub-3 nm range, the nucleation of gaseous precursors to small clusters, the chemical composition of ambient naturally charged ions were measured. The ion measurements were performed with a newly developed mass spectrometer, which was first characterized in the laboratory before being deployed at a boreal forest measurement site. It was also successfully compared to similar, low-resolution instruments. The ambient measurements showed that sulfuric acid clusters dominate the negative ion spectrum during new particle formation events. Sulfuric acid/ammonia clusters were detected in ambient air for the first time in this work. Even though sulfuric acid is believed to be the most important gas phase precursor driving the initial cluster formation, measurements of the hygroscopicity and volatility of growing 10-50 nm particles in Hyytiälä showed an increasing role of organic vapors of a variety of oxidation levels. This work has provided additional insights into the compounds participating both in the initial formation and subsequent growth of atmospheric new aerosol particles. It will hopefully prove an important step in understanding atmospheric gas-to-particle conversion, which, by influencing cloud properties, can have important climate impacts. All available knowledge needs to be constantly updated, summarized, and brought to the attention of our decision-makers. Only by increasing our understanding of all the relevant processes can we build reliable models to predict the long-term effects of decisions made today.

Non-Gaussianities and Preheating from N-flation and Magnetogenesis via rotating cosmic string loops

In this thesis we examine multi-field inflationary models of the early Universe. Since non-Gaussianities may allow for the possibility to discriminate between models of inflation, we compute deviations from a Gaussian spectrum of primordial perturbations by extending the delta-N formalism. We use N-flation as a concrete model; our findings show that these models are generically indistinguishable as long as the slow roll approximation is still valid. Besides computing non-Guassinities, we also investigate Preheating after multi-field inflation. Within the framework of N-flation, we find that preheating via parametric resonance is suppressed, an indication that it is the old theory of preheating that is applicable. In addition to studying non-Gaussianities and preheatng in multi-field inflationary models, we study magnetogenesis in the early universe. To this aim, we propose a mechanism to generate primordial magnetic fields via rotating cosmic string loops. Magnetic fields in the micro-Gauss range have been observed in galaxies and clusters, but their origin has remained elusive. We consider a network of strings and find that rotating cosmic string loops, which are continuously produced in such networks, are viable candidates for magnetogenesis with relevant strength and length scales, provided we use a high string tension and an efficient dynamo.

Search for Higgs bosons predicted in two-Higgs-doublet models via decays to tau lepton pairs in 1.96 TeV proton-antiproton collisions

We present the results of a search for Higgs bosons predicted in two-Higgs-doublet models, in the case where the Higgs bosons decay to tau lepton pairs, using 1.8 inverse fb of integrated luminosity of proton-antiproton collisions recorded by the CDF II experiment at the Fermilab Tevatron. Studying the observed mass distribution in events where one or both tau leptons decay leptonically, no evidence for a Higgs boson signal is observed. The result is used to infer exclusion limits in the two-dimensional parameter space of tan beta versus m(A).

Search for Higgs bosons predicted in two-Higgs-doublet models via decays to tau lepton pairs in 1.96 TeV proton-antiproton collisions

We present the results of a search for Higgs bosons predicted in two-Higgs-doublet models, in the case where the Higgs bosons decay to tau lepton pairs, using 1.8 inverse fb of integrated luminosity of proton-antiproton collisions recorded by the CDF II experiment at the Fermilab Tevatron. Studying the observed mass distribution in events where one or both tau leptons decay leptonically, no evidence for a Higgs boson signal is observed. The result is used to infer exclusion limits in the two-dimensional parameter space of tan beta versus m(A).

Search for Top-Quark Production via Flavor-Changing Neutral Currents in W+1 Jet Events at CDF

We report on the first search for top-quark production via flavor-changing neutral-current (FCNC) interactions in the non-standard-model process u(c)+g -> t using ppbar collision data collected by the CDF II detector. The data set corresponds to an integrated luminosity of 2.2/fb. The candidate events feature the signature of semileptonic top-quark decays and are classified as signal-like or background-like by an artificial neural network trained on simulated events. The observed discriminant distribution is in good agreement with the one predicted by the standard model and provides no evidence for FCNC top-quark production, resulting in a Bayesian upper limit on the production cross section sigma (u(c)+g -> t) u+g) c+g)

Spam – Spim – Spit. En marknadsrättslig undersökning av marknadsföring via nya kommunikationstekniker

I boken behandlas nya kommunikationstekniker och olika marknadsföringsmetoder som har uppkommit till följd av den tekniska utvecklingen. Marknadsföring via de nya kommunikationskanalerna har givit upphov till vissa olägenheter för mottagarna. Olägenheterna som mottagarna förorsakas vid marknadsföring via de nya teknikerna kan delas in i tre kategorier; 1) meddelandet förorsakar kostnader för mottagaren, 2) meddelandet hindrar mottagaren samt 3) meddelandet upplevs vara påträngande och utgöra ett intrång i mottagarens privatliv. Under de senaste åren har det förekommit hektiska lagstiftningsåtgärder på många håll i världen. Såväl enskilda stater, nationella myndigheter samt internationella organisationer har utarbetat regler om marknadsföring via de nya teknikerna. En av kärnfrågorna i regleringen är huruvida man skall ha ett system med ”opt-in” eller ”opt-out”. En opt-in-lösning innebär att marknadsföraren måste inhämta mottagarens samtycke på förhand, medan en opt-out-lösning innebär att det är tillåtet att sända marknadsföring om inte mottagaren motsatt sig detta. Enligt gällande lagstiftning faller marknadsföring via följande tre tekniker under opt-in: automatiserade uppringningssystem, telefax samt e-post. Det huvudsakliga syftet med avhandlingen är att utreda om nuvarande opt-in-lista är tillräckligt omfattande med beaktande av de olägenheter som marknadsföring via de nya teknikerna förorsakar, eller om den bör utvidgas. I genomgången av marknadsföring via nya tekniker har marknadsföring via bl.a. följande tekniker undersökts: Internet (www-sidor), reklamfönster, reklambanner, e-post, mobiltelefon, telefax, bloggar, RSS, Instant Messaging samt Internettelefoni. Vid sidan av nya tekniker har även vissa ”traditionella” marknadsföringsmetoder undersökts, i syfte att utreda huruvida även de bör falla in under en opt-in-lösning. De traditionella marknadsföringsmetoder som ingår i avhandlingen är hemförsäljning, telemarketing, TV- och radioreklam samt adresserad och oadresserad direktreklam. En annan central del i avhandlingen är frågan hur påföljdssystemet vid överträdelser av opt-in-bestämmelserna bör utformas. Hur skall de enskilda mottagarna få ersättning för de kostnader de åsamkats av marknadsföringen? Är det dags att införa straffskadestånd i Finland? Hög tid att även Finland får grupptalan? Kan tvisterna avgöras virtuellt via domstolar on-line eller ODR?

Towards Understanding Powder Behavior Via Simulation

The aim of this study was to investigate powder and tablet behavior at the level of mechanical interactions between single particles. Various aspects of powder packing, mixing, compression, and bond formation were examined with the aid of computer simulations. The packing and mixing simulations were based on spring forces interacting between particles. Packing and breakage simulations included systems in which permanent bonds were formed and broken between particles, based on their interaction strengths. During the process, a new simulation environment based on Newtonian mechanics and elementary interactions between the particles was created, and a new method for evaluating mixing was developed. Powder behavior is a complicated process, and many of its aspects are still unclear. Powders as a whole exhibit some aspects of solids and others of liquids. Therefore, their physics is far from clear. However, using relatively simple models based on particle-particle interaction, many powder properties could be replicated during this work. Simulated packing densities were similar to values reported in the literature. The method developed for describing powder mixing correlated well with previous methods. The new method can be applied to determine mixing in completely homogeneous materials, without dividing them into different components. As such, it can describe the efficiency of the mixing method, regardless of the powder's initial setup. The mixing efficiency at different vibrations was examined, and we found that certain combinations of amplitude, direction, and frequencies resulted in better mixing while using less energy. Simulations using exponential force potentials between particles were able to explain the elementary compression behavior of tablets, and create force distributions that were similar to the pressure distributions reported in the literature. Tablet-breaking simulations resulted in breaking strengths that were similar to measured tablet breaking strengths. In general, many aspects of powder behavior can be explained with mechanical interactions at the particle level, and single particle properties can be reliably linked to powder behavior with accurate simulations.

Discriminative learning of Bayesian networks via factorized conditional log-likelihood

We propose an efficient and parameter-free scoring criterion, the factorized conditional log-likelihood (ˆfCLL), for learning Bayesian network classifiers. The proposed score is an approximation of the conditional log-likelihood criterion. The approximation is devised in order to guarantee decomposability over the network structure, as well as efficient estimation of the optimal parameters, achieving the same time and space complexity as the traditional log-likelihood scoring criterion. The resulting criterion has an information-theoretic interpretation based on interaction information, which exhibits its discriminative nature. To evaluate the performance of the proposed criterion, we present an empirical comparison with state-of-the-art classifiers. Results on a large suite of benchmark data sets from the UCI repository show that ˆfCLL-trained classifiers achieve at least as good accuracy as the best compared classifiers, using significantly less computational resources.

FinnWordNet - WordNet på finska via översättning

FinnWordNet is a WordNet for Finnish that conforms to the framework given in Fellbaum (1998) and Vossen (ed.) (1998). FinnWordNet is open source and currently contains 117,000 synsets. A classic WordNet consists of synsets, or sets of partial synonyms whose shared meaning is described and exemplified by a gloss, a common part of speech and a hyperonym. Synsets in a WordNet are arranged in hierarchical partial orderings according to semantic relations like hyponymy/hyperonymy. Together the gloss, part of speech and hyperonym fix the meaning of a word and constrain the possible translations of a word in a given synset. The Finnish group has opted for translating Princeton WordNet 3.0 synsets wholesale into Finnish by professional translators, because the translation process can be controlled with regard to quality, coverage, cost and speed of translation. The project was financed by FIN-CLARIN at the University of Helsinki. According to our preliminary evaluation, the translation process was diligent and the quality is on a par with the original Princeton WordNet.