Nestemäisten jätteiden vastaanotto ja käsittely Tarastenjärven jätekeskuksessa : Selvitys vaihtoehtoisista menetelmistä

Nestemäiset jätteet ovat erilaisia loka-autoilla kuljetettavia jätteitä, jotka koostuvat nesteestä ja kiintoaineksesta. Tällaisia jätteitä ovat esimerkiksi hiekan- ja rasvanerotuskaivoista imetyt nesteet sekä teollisuudessa syntyvät jätevesilietteet. Nestemäisiä jätteitä ei ole Valtioneuvoston päätöksestä enää vuoden 2002 jälkeen saanut sijoittaa sellaisenaan kaatopaikkapenkkaan, vaan ne on tullut esikäsitellä nesteen poistamiseksi. Tähän asti nestemäiset jätteet on käsitelty Tarastenjärven jätekeskuksessa painovoimaisesti erottelemalla. Menetelmä on ollut toimiva, mutta on päivityksen tarpeessa. Tämän opinnäytetyön tarkoituksena olikin tutkia erilaisia vaihtoehtoja nestemäisten jätteiden vastaanotolle sekä käsittelylle Tarastenjärven jätekeskuksessa, sekä arvioida eri vaihtoehtojen kustannuksia mikäli mahdollista. Myös tarvetta haitta-aineiden, kuten metallien ja öljyjen poistamiselle tutkittiin. Työn laatimisessa hyödynnettiin olemassa olevaa tieteellistä kirjallisuutta sekä asiantuntijahaastatteluja. Työn tilaajana toimi Pirkanmaan Jätehuolto Oy. Selvitystyön tuloksena kävi ilmi, että yleisimmät menetelmät nesteiden ja kiinteiden ainesten erottamiseen ovat painovoimainen erottelu ja suodatus. Painovoimaiset erottelijat ovat useimmiten kiinteäseinäisiä altaita, joissa kiintoaines laskeutuu painovoimaisesti altaan pohjalle ja pinnalle jäänyt kirkastunut neste ohjataan ylivuotona jatkokäsittelyyn. Kiintoaineksen ollessa kevyempää kuin vesi, se erottuu nesteen pinnalle. Suodattimien toiminta taas perustuu puoliläpäisevään suodatusmediaan, joka päästää nesteen läpi, mutta jättää kiintoaineksen suodattimeen. Suodattimet voivat olla esimerkiksi paineistettuja tai painovoimalla toimivia. Geotuubit ovat eräänlaisia paineistettuja säkkisuodattimia, joita on käytössä myös jätekeskuksissa. Useissa käsittelymenetelmissä käytetään apuna myös saostuskemikaaleja, jotka edistävät kiintoaineksen erottumista nesteestä. Haitta-aineiden osalta helpoin ratkaisu on poistaa ne kiintoaineksen mukana ja käsitellä ne pilaantuneiden maiden kanssa jätekeskuksessa. Mikäli haitta-aineet ovat nesteessä liukoisessa muodossa, voidaan apuna käyttää saostuskemikaaleja, kuten alumiini- tai rautasuoloja. Öljyjen erottamisessa olisi mahdollista hyödyntää öljynerotuskaivoa. Kirjallisuuden sekä haastattelujen perusteella päivitetty versio painovoimaisesta erottelujärjestelmästä sekä geotuubimenetelmä vaikuttavat parhailta käytettävissä olevilta ratkaisuilta. Suurin haaste jätekeskuksen nestemäisten jätteiden käsittelyssä on kuitenkin se, että nesteiden ominaisuudet eroavat kuormittain hyvin paljon toisistaan. Tähän voitaisiin vaikuttaa jätteiden tarkemmalla lajittelulla vastaanottovaiheessa. Käsittelymenetelmää valittaessa tulee kuitenkin pohtia järjestelmän kuluja sekä hyötyjä pitkällä aikavälillä niin, että päästään parhaaseen mahdolliseen puhdistuslopputulokseen.Liquid wastes are solid-liquid mixtures such as wastes from sand and grease separation wells and industrial wastewaters. Since 2002 liquid wastes have no longer been allowed to be placed at a waste disposal site according to the decree 1049/1999 of the Finnish Council of State. Therefore liquid wastes have to be dewatered before final disposal. At the moment liquid wastes are treated at the Tarastenjärvi waste management centre with gravitational separation but the system needs updating. The aim of this study was to provide Pirkanmaan Jätehuolto Oy with different methods of liquid waste handling as well as evaluate the costs of a new system if possible. Also the need for contaminant removal was taken into consideration. The study was carried out by literature reviews and interviewing professionals of the industry. The results showed that the most common methods of solid-liquid separation are gravitational separation and filtration. Gravitational separators are usually containers in which the solid matter is allowed to separate either by sedimentation or flotation. Filters have a semi-permeable filter media which traps the solid matter but allows the liquid to flow through. Geotubes are an example of filters that are currently being used in several waste management centres. Many separation methods also require the use of polymers or flocculants to operate effectively. When contaminants are in a settleable form they are rather easy to be removed and treated with the solid matter. If the contaminants are dissolved in the liquid it might be possible to make them settle by adding aluminium or iron sulphate. Also an oil separation well could be used to separate oils from the liquid phase. Based on the literature reviews and interviews an upgraded gravitational system or the geotube method seem to be the best options. However, more tests should be conducted to see if these methods would work in practice. The biggest challenge is that the incoming liquid waste loads at Tarastenjärvi are not homogenous which makes it difficult to choose a solution that works well for all of them. The situation could be improved with more precise classification of the waste loads and handling them separately according to their characteristics. The most important aspect is to find a long-term cost-effective solution that can provide sufficient handling of the liquid wastes

Long-term stable squeezed vacuum state of light for gravitational wave detectors

Currently, the German/British gravitational wave detector GEO600 is being upgraded in course of the GEO-HF program. One part of this upgrade consists of the integration of a squeezed light laser to nonclassically improve the detection sensitivity at frequencies where the instrument is limited by shot noise. This has been achieved recently [1]. The permanent employment of squeezed light in gravitational wave observatories requires a long-term stability of the generated squeezed state. In this paper, we discuss an unwanted mechanism that can lead to a varying squeezing factor along with a changing phase of the squeezed field. We present an extension of the implemented coherent control scheme [2] that allowed an increase in the long-term stability of the GEO600 squeezed light laser. With it, a quantum noise reduction by more than 9 dB in the frequency band of 10 Hz - 10 kHz was observed over up to 20 hours with a duty cycle of more than 99%

Automatic Individual Identification of Patterned Solitary Species Based on Unlabeled Video Data

The manual processing and analysis of videos from camera traps is time-consuming and includes several steps, ranging from the filtering of falsely triggered footage to identifying and re-identifying individuals. In this study, we developed a pipeline to automatically analyze videos from camera traps to identify individuals without requiring manual interaction. This pipeline applies to animal species with uniquely identifiable fur patterns and solitary behavior, such as leopards (Panthera pardus). We assumed that the same individual was seen throughout one triggered video sequence. With this assumption, multiple images could be assigned to an individual for the initial database filling without pre-labeling. The pipeline was based on well-established components from computer vision and deep learning, particularly convolutional neural networks (CNNs) and scale-invariant feature transform (SIFT) features. We augmented this basis by implementing additional components to substitute otherwise required human interactions. Based on the similarity between frames from the video material, clusters were formed that represented individuals bypassing the open set problem of the unknown total population. The pipeline was tested on a dataset of leopard videos collected by the Pan African Programme: The Cultured Chimpanzee (PanAf) and achieved a success rate of over 83% for correct matches between previously unknown individuals. The proposed pipeline can become a valuable tool for future conservation projects based on camera trap data, reducing the work of manual analysis for individual identification, when labeled data is unavailable

Low Efficiency of Homology-Facilitated Illegitimate Recombination during Conjugation in Escherichia coli

Homology-facilitated illegitimate recombination has been described in three naturally competent bacterial species. It permits integration of small linear DNA molecules into the chromosome by homologous recombination at one end of the linear DNA substrate, and illegitimate recombination at the other end. We report that homology-facilitated illegitimate recombination also occurs in Escherichia coli during conjugation with small non-replicative plasmids, but at a low frequency of 3×10−10 per recipient cell. The fate of linear DNA in E. coli is either RecBCD-dependent degradation, or circularisation by ligation, and integration into the chromosome by single crossing-over. We also report that the observed single crossing-overs are recA-dependent, but essentially recBCD, and recFOR independent. This suggests that other, still unknown, proteins may act as mediator for the loading of RecA on DNA during single crossing-over recombination in E. coli

Persistent anthrax as a major driver of wildlife mortality in a tropical rainforest

Anthrax is a globally important animal disease and zoonosis. Despite this, our current knowledge of anthrax ecology is largely limited to arid ecosystems, where outbreaks are most commonly reported. Here we show that the dynamics of an anthrax-causing agent, Bacillus cereus biovar anthracis, in a tropical rainforest have severe consequences for local wildlife communities. Using data and samples collected over three decades, we show that rainforest anthrax is a persistent and widespread cause of death for a broad range of mammalian hosts. We predict that this pathogen will accelerate the decline and possibly result in the extirpation of local chimpanzee (Pan troglodytes verus) populations. We present the epidemiology of a cryptic pathogen and show that its presence has important implications for conservation

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types

Quantum state preparation and macroscopic entanglement in gravitational-wave detectors

Long-baseline laser-interferometer gravitational-wave detectors are operating at a factor of 10 (in amplitude) above the standard quantum limit (SQL) within a broad frequency band. Such a low classical noise budget has already allowed the creation of a controlled 2.7 kg macroscopic oscillator with an effective eigenfrequency of 150 Hz and an occupation number of 200. This result, along with the prospect for further improvements, heralds the new possibility of experimentally probing macroscopic quantum mechanics (MQM) - quantum mechanical behavior of objects in the realm of everyday experience - using gravitational-wave detectors. In this paper, we provide the mathematical foundation for the first step of a MQM experiment: the preparation of a macroscopic test mass into a nearly minimum-Heisenberg-limited Gaussian quantum state, which is possible if the interferometer's classical noise beats the SQL in a broad frequency band. Our formalism, based on Wiener filtering, allows a straightforward conversion from the classical noise budget of a laser interferometer, in terms of noise spectra, into the strategy for quantum state preparation, and the quality of the prepared state. Using this formalism, we consider how Gaussian entanglement can be built among two macroscopic test masses, and the performance of the planned Advanced LIGO interferometers in quantum-state preparation

Searching for a Stochastic Background of Gravitational Waves with LIGO

The Laser Interferometer Gravitational-wave Observatory (LIGO) has performed the fourth science run, S4, with significantly improved interferometer sensitivities with respect to previous runs. Using data acquired during this science run, we place a limit on the amplitude of a stochastic background of gravitational waves. For a frequency independent spectrum, the new limit is $\Omega_{\rm GW} < 6.5 \times 10^{-5}$. This is currently the most sensitive result in the frequency range 51-150 Hz, with a factor of 13 improvement over the previous LIGO result. We discuss complementarity of the new result with other constraints on a stochastic background of gravitational waves, and we investigate implications of the new result for different models of this background.Comment: 37 pages, 16 figure

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin