220 research outputs found
Corrigendum to “Delta SARS-CoV-2 variant is entirely substituted by the omicron variant during the fifth COVID-19 wave in Attica region” [Sci. Total Environ., 856(Pt 1) (2023)/159062] (Science of the Total Environment (2023) 856(P1), (S0048969722061617), (10.1016/j.scitotenv.2022.159062))
No full textThe authors state that the printed version of the above article missed the contribution of an author, which was that the third author had contributed to the writing of the original draft in addition to methodology. The correct and final version follows. CRediT authorship contribution statement Aikaterini Galani: Methodology, Validation, Writing – original draft. Athina Markou: Supervision, Writing – review & editing, Project administration. Lampros Dimitrakopoulos: Methodology, Writing – original draft. Aikaterini Kontou: Validation. Marios Kostakis: Validation. Vasileios Kapes: Methodology. Marios A. Diamantopoulos: Formal analysis, Software. Panagiotis G. Adamopoulos: Formal analysis. Margaritis Avgeris: Formal analysis, Writing– review & editing. Evi Lianidou: Writing – review & editing. Andreas Scorilas: Formal analysis. Dimitrios Paraskevis: Writing – review & editing. Sotirios Tsiodras: Writing – review & editing. Meletios-Athanasios Dimopoulos: Funding acquisition, Writing – review & editing. Nikolaos Thomaidis: Conceptualization, Project administration, Visualization, Resources. © 2022 Elsevier B.V
Search for Quantum Black-Hole Production in High-Invariant-Mass Lepton+Jet Final States Using Proton-Proton Collisions at sqrt(s) = 8 TeV and the ATLAS Detector
No full textA search for quantum black holes in electron + jet and muon + jet invariant mass spectra is performed with 140 fb-1 of data collected by the ATLAS detector in proton-proton collisions at √s = 13 TeV at the Large Hadron Collider. The observed invariant mass spectrum of lepton + jet pairs is consistent with Standard Model expectations. Upper limits are set at 95% confidence level on the production cross section times branching fractions for quantum black holes decaying into a lepton and a quark in a search region with invariant mass above 2.0 TeV. The resulting quantum black hole lower mass threshold limit is 9.2 TeV in the Arkani-Hamed-Dimopoulos-Dvali model, and 6.8 TeV in the Randall-Sundrum model
From static to dynamic visualization of the sea surface height on a web GIS application
No full textDuring the last three decades, the Earth’s climate is changing rapidly, with higher average temperatures every year that leads not only to the melting of the ice sheet in the arctic and on most of the glaciers all over the world but also to extreme weather phenomena. The rise of the temperature can affect the Sea Surface Height (SSH) in more than one way, and since 70% of the Earth’s surface is covered by the oceans, if the oceans are being affected then the whole Earth also is. The monitoring of the SSH can help the scientist predict the changes that will take place in the future. The SSH is a dynamic phenomenon that constantly changes not only within different decades but also from year to year, month to month even within the same day. These changes are the result of various phenomena and are called anomalies. When the SSH is monitored different phenomena are represented in different time scales and it is important to be taken into consideration if there is the need for a proper understanding of the SSH phenomenon. Many spatial data vendors are providing a large number of data-sets related to the monitoring of SSH and its anomalies and as a result, there is the need to find the most effective way to extract information from the data. Over the years has been established that one of the most effective ways to extract information from data is through the various visualization techniques and since the data of SSH is mainly spatial the main visualization technique is cartography. The advancements of the technology over the last couple of decades have led to a reality that the ”online” application is the norm and consequently the web mapping and web geographical information system (GIS).The goal of this thesis is to propose an architecture for a web GIS application that will be able to visualize dynamic data while adding elements of interactivity to improve the chances of the Sea Surface Height Anomaly (SSHA). IN order to achieve the goal of this thesis three main research questions need to be answered: What type of animation should be used (in order to visualize the passing of time), what interactivity elements should be added (e.g. zooming/panning in space and time) and what system’s architecture is optimal for such application (server-side/client-side etc.). This document is providing guidelines on how to create such an application and is resulting in the production of a prototype. The first part of this thesis is the review of the main ideas that are introduced in this project and how they were implemented by other researchers. Then, a comparison between the different implementation techniques (for every research question) is taking place to determine the main characteristics of the application. The final part is related to the implementation of the chosen techniques that lead to the development of the prototype application. The resulted prototype even though it is not perfect, due to technical limitations that were a consequence of implementing some of the most recent concepts in web development, is functional and paves the way for the development of new improved dynamic/interactive web GIS applications (https://giorgosdimo.github.io/MSc-Thesis/).Geomatic
Shaft inflation
No full textA new family of inflation models is introduced and studied. The models are characterised by a scalar potential which, far from the origin, approximates an inflationary plateau, while near the origin becomes monomial, as in chaotic inflation. The models are obtained in the context of global supersymmetry starting with a superpotential, which interpolates from a generalised monomial to an O'Raifearteagh form for small to large values of the inflaton field respectively. It is demonstrated that the observables obtained, such as the scalar spectral index and the tensor to scalar ratio, are in excellent agreement with the latest observations. Some discussion of initial conditions and eternal inflation is included
Isatuximab as monotherapy and combined with dexamethasone in patients with relapsed/refractory multiple myeloma
No full textThey are grateful to Kathryn Corzo and Ai-Min Hui for contributing to the development of the study design. Medical writing support (including development of a draft outline and subsequent drafts in consultation with the authors, assembling tables and figures, collating author comments, copyediting, fact checking, and referencing) was provided by Julianna Solomons at Aspire Scientific, and funded by Sanofi Genzyme
A renormalizable supersymmetric SO(10) model with natural doublet-triplet splitting
No full textWe propose a renormalizable supersymmetric SO (110) model where the doublet-triplet splitting problem is solved using the Dimopoulos-Wilczek mechanism. An unwanted coupling is forbidden through a filter sector. To suppress proton decay without spoiling gauge coupling unification, there is a problem in the weak doublets which requires further improvements.SCI(E)[email protected]; [email protected]
Extramedullary plasmacytoma in a horse with ptyalism and dysphagia
No full textA Clydesdale mare was examined for weight loss, inappetence, ptyalism, and dysphagia. The main abnormality revealed by serum biochemistry was a marked hyperglobulinemia, and protein electrophoresis revealed a monoclonal gammopathy in the gamma region. The urine was positive for Bence Jones proteins. These findings suggested a plasma cell tumor. The neoplasm could not be located with extensive antemortem examination. At postmortem, neoplastic cells morphologically compatible with plasma cells and positive for equine IgG with imunoperoxidase staining infiltrated the pericardium, mediastinal stromal tissues, adrenal glands, meninges, atrioventricular valves, aorta, abdominal and thoracic fat, and nerves, including the trigeminal nerve. The neoplastic cells invading the cranial nerves were responsible for many of the presenting signs.PT: J; CR: BARLOGIE B, 1995, WILLIAMS HEMATOLOGY, P1109 BAUER JD, 1974, CLIN LAB METHODS, P15 BRAUND KG, 1978, J AM VET MED ASSOC, V172, P1407 BRAUND KG, 1979, J AM VET MED ASSOC, V174, P1321 CALNEK BW, 1991, DIS POULTRY, P342 DIMOPOULOS MA, 1994, BLOOD, V83, P1452 DREW RA, 1974, EQUINE VET J, V3, P131 DUNCAN JR, 1994, VET LAB MED CLIN PAT, P112 DUNCAN JR, 1994, VET LAB MED CLIN PAT, P63 EDWARDS DF, 1993, J VET INTERN MED, V7, P169 HENRY M, 1994, J AM VET MED ASSOC, V194, P392 JACKSON MW, 1994, J AM VET MED ASSOC, V204, P404 KENT JE, 1990, EQUINE VET J, V22, P373 MANDEL NS, 1994, J AM ANIM HOSP ASSOC, V30, P603 TRAUBDARGATZ J, 1985, EQUINE VET J, V17, P373; NR: 15; TC: 9; J9: J VET DIAGN INVEST; PG: 3; GA: 312MPSource type: Electronic(1
Improving processor power demand comprehension in data-driven power and software phase classification and prediction
No full textThe single-core performance trend predicted by Moore's law has been impeded in recent years partly due to the limitations imposed by increasing processor power demands. One way to mitigate this limitation in performance improvement is the introduction of multi-core and multi-processor computation.
Another approach to increasing the performance-per-Watt metric is to utilize the processor's power more efficiently. In a single-core system, the processor cannot sustainably dissipate more than the nominal Thermal Design Power (TDP) limit determined for the processor at design time. Therefore it is important to understand and manage the power demands of the processes being executed. This principle also applies to multi-core and multi-processor environments. In a multi-processor environment, knowing the power demands of the workload, the power management unit can schedule the workload to a processor based on the state of each processor and process in the most efficient way. This is an example of the knapsack problem. Another approach, also applicable to multi-cores, could be to reduce the core's power by reducing its working voltage and frequency, leading to mitigation of the power bursts, lending more headroom to other cores, and keeping the total power under the TDP limit. The information collected from the execution of the software running on the processor (i.e. the workload) is the key to determining the actions needed with regards to power management at any given time.
This work comprises two different approaches in improving the comprehension of software power demands as it executes on the processor. In the first part of this work, the effects of software data on power is analysed. It is important to be able to model the power based on the instructions it comprises, however, to the best of our knowledge, no work exists in which the effects of the values being processed has been investigated with regards to processor power. Creating a power model capable of accurately reflecting the power demands of the software at any given time is a problem addressed by previous research. The software power model can be used in processor simulation environments as well as in the processor itself to create an estimated power dissipation without the need to physically measure the power. In the first part of this research, the effects of software data on power is investigated. In order to collect the data required as part of this research, a profiler tool has been developed by the author and used in this part of the research as well as the second part.
The second part of this work focuses on the development of processor power throughout time during the execution of the software. Understanding the power demands of the processor at any given time is important to maintain and manage processor power. Additionally, acquiring an insight into the future power demands of the software can help the system with scheduling planning ahead of time, in order to prepare for any high-power section of the code as well as to plan to use the available power headroom as a result of an upcoming low-power section. In this part of our work, a new hierarchical approach to software phase classification is developed. Software phase classification problem focuses on determining the behaviour of the software at any given time slice by assigning the time slice to one of pre-determined software phases. Each phase is assumed to have known behaviour which was previously measured and instrumented based on previously observed instances of the phase, or by utilizing a model capable of estimating the behaviour of each phase. Using a two-tiered hierarchical clustering approach, our proposed phase classification methodology incorporates the recent performance behaviour of the software in order to determine the power phase. We focused on determining the power phase using the performance information because the real processor power is not usually available without the need for added hardware, while there exists a large number of different performance counters available on most modern processors. Additionally, based on our observations, the relation between performance phases and power behaviour is highly predictable. This method is shown to provide robust results with a low amount of noise compared to other methods, while providing a high enough timing accuracy for the processor to act on. To the best of our knowledge, no other existing work is able to provide both timing accuracy and reduced noise compared to our work.
Software phase classification can be used to control the processor power based on the software's phase at any given time, but it does not provide future insight into the progression of the workload. Finally, we developed and compared several phase prediction methodologies based on phase precursors and phase locality concepts. Phase precursor-based methods rely on detecting the precursors observed before the software enters a certain phase, while phase locality methods rely on the locality principle, which postulates a high probability for the current software behaviour to be observed in the near-future. The phase classification, as well as phase prediction methodologies was shown to be able to reduce the power bursts within a workload in order to provide a more smooth power trace. As the bursts are removed from one workload's power trace, the multi-core processor power headroom can be confidently utilized for another process.Graduat
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