cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: Congenital Lung Malformations Revisited
Creators: name: Rodrigues, Márcio
Publisher: name: European Society of Thoracic Imaging
Year: 2014
Subjects: subject: Thorax
subject: Lung
subject: Conventional radiography
subject: CT
subject: Diagnostic procedure
subject: Congenital

description: Learning objectives Background Imaging findings OR Procedure details Conclusion References Personal Information
description: Learning objectives: Describe the clinical features of the most frequent congenital lung malformations. Illustrate characteristic imaging appearances of common congenital anomalies in CT and conventional chest radiography. Emphasize imaging differential...
ภาวะผู้นำเชิงกลยุทธ์ที่มีผลต่อการพัฒนาองค์การ:การก้าวเป็นองค์การที่มีสมรรถนะสูงของสำนักงานพัฒนาชุมชนอำเภอในเขตจังหวัดร้อยเอ็ด
Creators: name: นิศรา หงษา
Publisher: name: สถาบันวิจัยและพัฒนา มหาวิทยาลัยสุโขทัยธรรมาธิราช
Year: 2017
Subjects: ภาวะผู้นำเชิงกลยุทธ์
องค์การที่มีขีดสมรรถนะสูง
สำนักงานพัฒนาชุมชนอำเภอ

description: วารสารอิเล็กทรอนิกส์การเรียนรู้ทางไกลเชิงนวัตกรรม, 7, 2, 64-79
Informative Planning for Worst-Case Error Minimisation in Sparse Gaussian Process Regression
Creators: name: Wakulicz, Jennifer
name: Lee, Ki Myung Brian
name: Yoo, Chanyeol
name: Vidal-Calleja, Teresa
name: Fitch, Robert
Publisher: name: arXiv
Year: 2022
Subjects: subject: Robotics (cs.RO)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: We present a planning framework for minimising the deterministic worst-case error in sparse Gaussian process (GP) regression. We first derive a universal worst-case error bound for sparse GP regression with bounded noise using interpolation theory on reproducing kernel Hilbert spaces (RKHSs). By exploiting the conditional independence (CI) assumption central to sparse GP regression, we show that the worst-case error minimisation can be achieved by solving a posterior entropy minimisation problem. In turn, the posterior entropy minimisation problem is solved using a Gaussian belief space planning algorithm. We corroborate the proposed worst-case error bound in a simple 1D example, and test the planning framework in simulation for a 2D vehicle in a complex flow field. Our results demonstrate that the proposed posterior entropy minimisation approach is effective in minimising deterministic error, and outperforms the conventional measurement entropy maximisation formulation when the inducing points are fixed.
description: 7 pages, 6 figures, accepted to Proc. of ICRA 2022
Specific mutations in H5N1 mainly impact the magnitude and velocity of the host response in mice
Creators: name: Baric, Ralph S.
name: Ferris, Martin T
name: Gralinski, Lisa E
name: Totura, Allison L
Publisher: name: BioMed Central Ltd
Year: 2013

description: Background: Influenza infection causes respiratory disease that can lead to death. The complex interplay between
virus-encoded and host-specific pathogenicity regulators – and the relative contributions of each toward viral
pathogenicity – is not well-understood.
Results: By analyzing a collection of lung samples from mice infected by A/Vietnam/1203/2004 (H5N1; VN1203), we
characterized a signature of transcripts and proteins associated with the kinetics of the host response. Using a new
geometrical representation method and two criteria, we show that inoculation concentrations and four specific
mutations in VN1203 mainly impact the magnitude and velocity of the host response kinetics, rather than specific
sets of up- and down- regulated genes. We observed analogous kinetic effects using lung samples from mice
infected with A/California/04/2009 (H1N1), and we show that these effects correlate with morbidity and viral titer.
Conclusions: We have demonstrated the importance of the kinetics of the host response to H5N1 pathogenesis and
its relationship with clinical disease severity and virus replication. These kinetic properties imply that time-matched
comparisons of ‘omics profiles to viral infections give limited views to differentiate host-responses. Moreover, these
results demonstrate that a fast activation of the host-response at the earliest time points post-infection is critical for
protective mechanisms against fast replicating viruses.
title: Cumulative radiation burden and estimated lifetime attributabe risk of secondary malignancies in patients with lung cancer.
Creators: name: Stefanidis, Konstantinos
Publisher: name: European Society of Thoracic Imaging
Year: 2014
Subjects: subject: Cancer
subject: Dosimetry
subject: CT
subject: Thorax
subject: Lung

description: Purpose Materials and Methods Results Conclusions References Personal Information
description: Purpose: Computed tomography (CT) imaging and, more recently, positron emission tomography-CT (PET-CT) are integral to the management of patients with lung cancer and their use continues to increase. The obvious drawback of each is associated radiation...
Miscellaneous Photos, Maui Space Surveillance Complex
Creators: name: Fernandez, Rachel
Year: 1999
Subjects: subject: Maui, Hawaii
valueUri: https://core.tdar.org/browse/geographic-keyword/85559/maui-hawaii
subject: Maui Space Surveillance Complex
valueUri: https://core.tdar.org/browse/geographic-keyword/85895/maui-space-surveillance-complex
subject: MSSC
valueUri: https://core.tdar.org/browse/other-keyword/167777/mssc
subject: Heritage Management
valueUri: https://core.tdar.org/browse/investigation-type/24/heritage-management

description: Miscellaneous photos of the Maui Space Surveillance Complex taken from a printout of the Maui High Performance Computing Center website.
Smart Geographic object: Toward a new understanding of GIS Technology in Ubiquitous Computing
Creators: name: Zakaria, Sakyoud
name: Rey, Gaëtan
name: Mohamed, Eladnani
name: Lavirotte, Stéphane
name: Abdelaziz, El Fazziki
name: Tigli, Jean-Yves
Publisher: name: arXiv
Year: 2015
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: One of the fundamental aspects of ubiquitous computing is the instrumentation of the real world by smart devices. This instrumentation constitutes an opportunity to rethink the interactions between human beings and their environment on the one hand, and between the components of this environment on the other. In this paper we discuss what this understanding of ubiquitous computing can bring to geographic science and particularly to GIS technology. Our main idea is the instrumentation of the geographic environment through the instrumentation of geographic objects composing it. And then investigate how this instrumentation can meet the current limitations of GIS technology, and offers a new stage of rapprochement between the earth and its abstraction. As result, the current research work proposes a new concept we named Smart Geographic Object SGO. The latter is a convergence point between the smart objects and geographic objects, two concepts appertaining respectively to t
Resolving nonclassical magnon composition of a magnetic ground state via a qubit
Creators: name: Römling, Anna-Luisa E.
name: Vivas-Viaña, Alejandro
name: Muñoz, Carlos Sánchez
name: Kamra, Akashdeep
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Recently gained insights into equilibrium squeezing and entanglement harbored by magnets point towards exciting opportunities for quantum science and technology, while concrete protocols for exploiting these are needed. Here, we theoretically demonstrate that a direct dispersive coupling between a qubit and a noneigenmode magnon enables detecting the magnonic number states' quantum superposition that forms the ground state of the actual eigenmode - squeezed-magnon - via qubit excitation spectroscopy. Furthermore, this unique coupling is found to enable control over the equilibrium magnon squeezing and a deterministic generation of squeezed even Fock states via the qubit state and its excitation. Our work demonstrates direct dispersive coupling to noneigenmodes, realizable in spin systems, as a general pathway to exploiting the equilibrium squeezing and related quantum properties thereby motivating a search for similar realizations in other platforms.
description: Published version. 18 pages, 9 figures, including Supplementary Information
Evaluation von Beteiligung als Theorie-Praxis-Aufgabe
Creators: name: Schröder, Carolin
Publisher: name: Technische Universität Berlin
Year: 2013
Subjects: subject: 300 Sozialwissenschaften
subject: Beteiligung
subject: Partizipation
subject: Wirkungsanalysen
subject: Demokratie
subject: Evaluation

description: Beteiligung an stadtplanerischer Ideenfindung und Entscheidung soll Wirkungen erzielen, aber welche? Ein Blick in die umfangreiche Literatur zeigt, dass es ganz unterschiedliche sein können. Lange Zeit ging es vor allem um die gute Durchführung von Beteiligungsmethoden und -verfahren, seit den 1990er Jahren vermehrt auch um eine Standardisierung von Methoden, Verfahren und Kriterien. Wie können aber Wirkungen nachgewiesen werden, wie können sie gemessen werden? Darum geht es im folgenden Beitrag. Als Wirkungen werden hier messbare und nicht messbare, gewollte und ungewollte Effekte von Beteiligungsmethoden und -verfahren verstanden. Die quantitative bzw. qualitative Erfassung und Bewertung der Wirkungen von Beteiligungsmethoden und -verfahren (Evaluation), um die es im Folgenden gehen soll, beinhaltet in der Regel eine kausalorientierte Bewertung eines Objekts (Bussmann 1997: 3).
ДАВЛАТ ЭХТИЁЖЛАРИ УЧУН ТОВАРЛАР (ИШЛАР, ХИЗМАТЛАР) НИ ХАРИД ҚИЛИШДА ЭЛЕКТРОН ХАРИДЛАР ТИЗИМИНИ ЯНАДА ТАКОМИЛЛАШТИРИШ ЙЎЛЛАРИ
Creators: name: Ғофуров, Темур
Publisher: name: Zenodo
Year: 2024

description: Ушбу тезисда давлат эҳтиёжлари учун товарлар, ишлар ва хизматларни харид қилиш жараёнида электрон харидлар тизимини такомиллаштириш йўллари ўрганилган. Замонавий иқтисодий ва технологик шароитда давлат харидларини электрон тарзда амалга ошириш катта аҳамият касб этмоқда. Тадқиқотда мавжуд электрон харидлар тизимининг самарадорлиги таҳлил қилинган, бу борадаги хорижий тажрибалар ўрганилган ва тегишли тавсиялар ишлаб чиқилган. Натижаларга асосан, ахборот технологияларини янада кенг жорий этиш, техник базани мустаҳкамлаш ва ҳуқуқий асосларни такомиллаштириш орқали электрон харидлар тизимини янада самарали қилиш йўллари кўрсатилган.
Quantum Communication Complexity using the Quantum Zeno Effect
Creators: name: Tavakoli, Armin
name: Anwer, Hammad
name: Hameedi, Alley
name: Bourennane, Mohamed
Publisher: name: arXiv
Year: 2015
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The quantum Zeno effect (QZE) is the phenomenon where the unitary evolution of a quantum state is suppressed e.g. due to frequent measurements. Here, we investigate the use of the QZE in a class of communication complexity problems (CCPs). Quantum entanglement is known to solve certain CCPs beyond classical constraints. However, recent developments have yielded CCPs where super-classical results can be obtained using only communication of a single d-level quantum state (qudit) as a resource. In the class of CCPs considered here, we show quantum reduction of complexity in three ways: using i) entanglement and the QZE, ii) single qudit and the QZE, iii) single qudit. The final protocol is motivated by experimental feasibility, and we have performed a proof of concept experimental demonstration.
Nomenclature for renal replacement therapy in acute kidney injury: basic principles
Creators: name: Kim, Jeong C
Publisher: name: BioMed Central
Year: 2016

description: Abstract This article reports the conclusions of a consensus expert conference on the basic principles and nomenclature of renal replacement therapy (RRT) currently utilized to manage acute kidney injury (AKI). This multidisciplinary consensus conference discusses common definitions, components, techniques, and operations of the machines and platforms used to deliver extracorporeal therapies, utilizing a “machine-centric” rather than a “patient-centric” approach. We provide a detailed description of the performance characteristics of membranes, filters, transmembrane transport of solutes and fluid, flows, and methods of measurement of delivered treatment, focusing on continuous renal replacement therapies (CRRT) which are utilized in the management of critically ill patients with AKI. This is a consensus report on nomenclature harmonization for principles of extracorporeal renal replacement therapies. Devices and operations are classified and defined in detail to serve as guidelines for future use of terminology in papers and research.
The Dysart Drain Archaeological Inventory Project of North-Central Maricopa County, Arizona: An Addendum
Creators: name: Rodgers, James B.
Publisher: name: Scientific Archeological Services
Year: 1994
Subjects: subject: Luke Air Force Base
valueUri: https://core.tdar.org/browse/geographic-keyword/79167/luke-air-force-base
subject: Maricopa (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/3900/maricopa-county
subject: Luke AFB
valueUri: https://core.tdar.org/browse/other-keyword/167783/luke-afb
subject: Dysart Drain Improvements Project
valueUri: https://core.tdar.org/browse/other-keyword/167802/dysart-drain-improvements-project
subject: Heritage Management
valueUri: https://core.tdar.org/browse/investigation-type/24/heritage-management

description: Scientific Archeological Services completed an archeological inventory analysis of the third and final parcel (Parcel A) of the proposed Dysart Drain Improvements Project of north-central Maricopa County, Arizona. This intensive survey produced absolutely no prehistoric or historic sites, no intrasite components/ no intracomponent features, and no isolated artifacts. This document includes correspondence from Luke Air Force Base to the SHPO regarding this project requesting clearance for its completion.
On the error term in a Parseval type formula in the theory of Ramanujan expansions
Creators: name: Murty, M. Ram
name: Saha, Biswajyoti
Publisher: name: arXiv
Year: 2015
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics

description: Given two arithmetical functions $f,g$ we derive, under suitable conditions, asymptotic formulas with error term, for the convolution sums $\sum_{n \le N} f(n) g(n+h)$, building on an earlier work of Gadiyar, Murty and Padma. A key role in our method is played by the theory of Ramanujan expansions for arithmetical functions.
description: To appear in Journal of Number Theory
Playa Archaeology - Archaeological Investigations at Reese Air Force Base and Terry County Auxiliary Airfield, Lubbock and Terry Counties
Creators: name: Fernandez, Rachel
Publisher: name: Museum of Texas Tech University
Year: 1995
Subjects: subject: Terry (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/8258/terry-county
subject: Hockley (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/3572/hockley-county
subject: Lubbock, Texas
valueUri: https://core.tdar.org/browse/geographic-keyword/78227/lubbock-texas
subject: 41TY114
valueUri: https://core.tdar.org/browse/site-name/127902/41ty114
subject: 41TY113
valueUri: https://core.tdar.org/browse/site-name/127904/41ty113
subject: 41TY115
valueUri: https://core.tdar.org/browse/site-name/127903/41ty115
subject: 41LU111
valueUri: https://core.tdar.org/browse/site-name/128168/41lu111
subject: 41LU75
valueUri: https://core.tdar.org/browse/site-name/128170/41lu75
subject: Perry Site
valueUri: https://core.tdar.org/browse/site-name/128169/perry-site
subject: Encampment
valueUri: https://core.tdar.org/browse/site-type/253/encampment
subject: Burned Caliche
valueUri: https://core.tdar.org/browse/material-type/3261/burned-caliche
subject: Chipped Stone
valueUri: https://core.tdar.org/browse/material-type/2/chipped-stone
subject: Fauna
valueUri: https://core.tdar.org/browse/material-type/4/fauna
subject: Glass
valueUri: https://core.tdar.org/browse/material-type/6/glass
subject: Reese Air Force Base
valueUri: https://core.tdar.org/browse/other-keyword/167555/reese-air-force-base
subject: Terry County Auxiliary Air Field
valueUri: https://core.tdar.org/browse/other-keyword/167435/terry-county-auxiliary-air-field
subject: Reconnaissance / Survey
valueUri: https://core.tdar.org/browse/investigation-type/7/reconnaissance-survey
subject: Geophysical Survey
valueUri: https://core.tdar.org/browse/investigation-type/23/geophysical-survey
subject: Heritage Management
valueUri: https://core.tdar.org/browse/investigation-type/24/heritage-management
subject: Site Evaluation / Testing
valueUri: https://core.tdar.org/browse/investigation-type/10/site-evaluation-testing

description: A cultural resource survey was requested for portions of Reese Air Force Base near Lubbock, Texas to determine the presence, if any, of archaeological sites within the base properties. This survey located one heavily-impacted aboriginal-Historic site (41LU111) but failed to address the uplands between playa basins that are generally considered as high probability locations for prehistoric campsites. This survey led to the location of three aboriginal campsites (41TY113, 41TY114, and 41TY115) at the Terry County Auxiliary Airfield.
title: The evolving role of HRCT in established and novel therapies in treatment of pulmonary emphysema
Creators: name: Karia, Sumit
Publisher: name: European Society of Thoracic Imaging
Year: 2014
Subjects: subject: Neoplasia
subject: Infection
subject: Chronic obstructive airways disease
subject: Technical aspects
subject: CT-Quantitative
subject: CT-High Resolution
subject: CT
subject: Thorax
subject: Lung

description: Learning objectives Background Imaging findings OR Procedure details Conclusion References Personal Information
description: Learning objectives: To discuss current treatment strategies for patients with Chronic Obstructive Pulmonary Disease (COPD), especially those with emphysema predominant disease. We will give the reader a structured approach in assessment of HRCT examinations in such...
A Lucky Imaging search for stellar companions to transiting planet host stars
Creators: name: Wöllert, Maria
name: Brandner, Wolfgang
name: Bergfors, Carolina
name: Henning, Thomas
Publisher: name: arXiv
Year: 2015
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: The presence of stellar companions around planet hosting stars influences the architecture of their planetary systems. To find and characterise these companions and determine their orbits is thus an important consideration to understand planet formation and evolution. For transiting systems even unbound field stars are of interest if they are within the photometric aperture of the light curve measurement. Then they contribute a constant flux offset to the transit light curve and bias the derivation of the stellar and planetary parameters if their existence is unknown. Close stellar sources are, however, easily overlooked by common planet surveys due to their limited spatial resolution. We therefore performed high angular resolution imaging of 49 transiting exoplanet hosts to identify unresolved binaries, characterize their spectral type, and determine their separation. The observations were carried out with the Calar Alto 2.2m telescope using the Lucky Imaging camera AstraLux Norte. All targets were imaged in i' and z' passbands. We found new companion candidates to WASP-14 and WASP-58, and we re-observed the stellar companion candidates to CoRoT-2, CoRoT-3, CoRoT-11, HAT-P-7, HAT-P-8, HAT-P-41, KIC 10905746, TrES-2, TrES-4, and WASP-2. We deduce from the stellar density around all sources that two companion candidates out of the targets with the first position measurement (CoRoT-11, HAT-P-41, KIC 10905746, WASP-14 and WASP-58) are probably unbound. In addition, we re-analyse the influence of the sources close to WASP-14 and WASP-58 on the planetary parameters given in the literature and find no significant changes.
Being a Part of Society and Future: A Conceptualization of PLOMRIS (Perceived Lack of a Meaningful Role in Society) as Mediator between Socioeconomic Status, Social Capital, and Political Moroseness
Creators: name: Versteegen, Luca
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: anxiety
subject: cross-sectional data
subject: depression
subject: identity
subject: Inclusion
subject: PLOMRIS
subject: political psychology
subject: right-populism
subject: self-efficacy
subject: SES
subject: Social Capital

description: Examining the mediational of perceived lack of meaningful role in society (PLOMRIS) between socioeconomic status and social capital, and political orientation, metal health, and self-efficacy.
Coronal energy release by MHD avalanches. Effects on a structured, active region, multi-threaded coronal loop
Creators: name: Cozzo, G.
name: Reid, J.
name: Pagano, P.
name: Reale, F.
name: Hood, A. W.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: A possible key element for large-scale energy release in the solar corona is an MHD kink instability in a single twisted magnetic flux tube. An initial helical current sheet fragments in a turbulent way into smaller-scale sheets, similarly to a nanoflare storm. As the loop expands in the radial direction during the relaxation process, an unstable loop can disrupt nearby stable loops and trigger an MHD avalanche. Exploratory investigations have been conducted in previous works with relatively simplified loop configurations. Here, we address a more realistic environment that comprehensively accounts for most of the physical effects involved in a stratified atmosphere, typical of an active region. The question is whether the avalanche process will be triggered, with what timescales, and how it will develop, as compared with the original, simpler approach. Three-dimensional MHD simulations describe the interaction of magnetic flux tubes, which have a stratified atmosphere, including chromospheric layers, the thin transition region to the corona, and the related transition from high-beta to low-beta regions. The model also includes the effects of thermal conduction and of optically thin radiation. Our simulations address the case where one flux tube among a few is twisted at the footpoints faster than its neighbours. We show that this flux tube becomes kink unstable first, in conditions in agreement with those predicted by analytical models. It rapidly involves nearby stable tubes, instigating significant magnetic reconnection and dissipation of energy as heat. The heating determines the development of chromospheric evaporation, while the temperature rises up to about 10 MK, close to microflares observations. This work confirms that avalanches are a viable mechanism for the storing and release of magnetic energy in plasma confined in closed coronal loops, as a result of photospheric motions.
description: 16 pages, 16 figures
title: Hydatid cyst of the chest: Imaging features
Creators: name: Mnari, Walid
Publisher: name: European Society of Thoracic Imaging
Year: 2014
Subjects: subject: Lung
subject: Thorax
subject: Vascular
subject: CT
subject: MR
subject: Ultrasound-Colour Doppler
subject: Education
subject: Cysts
subject: Infection
subject: Parasites

description: Learning objectives Background Imaging findings OR Procedure details Conclusion References Personal Information
description: Learning objectives: To describe and illustrate the common imaging features of various types of thoracic hydatid cysts including pulmonary and extrapulmonary location. To describe and illustrate the common imaging features of complicated hydatid cyst in the...
Categorical Representation Learning and RG flow operators for algorithmic classifiers
Creators: name: Sheshmani, Artan
name: You, Yizhuang
name: Fu, Wenbo
name: Azizi, Ahmadreza
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Artificial Intelligence (cs.AI)
subject: Algebraic Geometry (math.AG)
subject: Category Theory (math.CT)
subject: Differential Geometry (math.DG)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 03B70, 03-04, 03D10, 11Y16

description: Following the earlier formalism of the categorical representation learning (arXiv:2103.14770) by the first two authors, we discuss the construction of the "RG-flow based categorifier". Borrowing ideas from theory of renormalization group flows (RG) in quantum field theory, holographic duality, and hyperbolic geometry, and mixing them with neural ODE's, we construct a new algorithmic natural language processing (NLP) architecture, called the RG-flow categorifier or for short the RG categorifier, which is capable of data classification and generation in all layers. We apply our algorithmic platform to biomedical data sets and show its performance in the field of sequence-to-function mapping. In particular we apply the RG categorifier to particular genomic sequences of flu viruses and show how our technology is capable of extracting the information from given genomic sequences, find their hidden symmetries and dominant features, classify them and use the trained data to make stochastic prediction of new plausible generated sequences associated with new set of viruses which could avoid the human immune system. The content of the current article is part of the recent US patent application submitted by first two authors (U.S. Patent Application No.: 63/313.504).
description: 31 pages, comments are very welcome
Boosting GUI Prototyping with Diffusion Models
Creators: name: Wei, Jialiang
name: Courbis, Anne-Lise
name: Lambolais, Thomas
name: Xu, Binbin
name: Bernard, Pierre Louis
name: Dray, Gérard
Publisher: name: arXiv
Year: 2023
Subjects: subject: Software Engineering (cs.SE)
subject: Artificial Intelligence (cs.AI)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: GUI (graphical user interface) prototyping is a widely-used technique in requirements engineering for gathering and refining requirements, reducing development risks and increasing stakeholder engagement. However, GUI prototyping can be a time-consuming and costly process. In recent years, deep learning models such as Stable Diffusion have emerged as a powerful text-to-image tool capable of generating detailed images based on text prompts. In this paper, we propose UI-Diffuser, an approach that leverages Stable Diffusion to generate mobile UIs through simple textual descriptions and UI components. Preliminary results show that UI-Diffuser provides an efficient and cost-effective way to generate mobile GUI designs while reducing the need for extensive prototyping efforts. This approach has the potential to significantly improve the speed and efficiency of GUI prototyping in requirements engineering.
description: Accepted for The 31st IEEE International Requirements Engineering Conference 2023, RE@Next! track
Continually learning out-of-distribution spatiotemporal data for robust energy forecasting
Creators: name: Prabowo, Arian
name: Chen, Kaixuan
name: Xue, Hao
name: Sethuvenkatraman, Subbu
name: Salim, Flora D.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Forecasting building energy usage is essential for promoting sustainability and reducing waste, as it enables building managers to optimize energy consumption and reduce costs. This importance is magnified during anomalous periods, such as the COVID-19 pandemic, which have disrupted occupancy patterns and made accurate forecasting more challenging. Forecasting energy usage during anomalous periods is difficult due to changes in occupancy patterns and energy usage behavior. One of the primary reasons for this is the shift in distribution of occupancy patterns, with many people working or learning from home. This has created a need for new forecasting methods that can adapt to changing occupancy patterns. Online learning has emerged as a promising solution to this challenge, as it enables building managers to adapt to changes in occupancy patterns and adjust energy usage accordingly. With online learning, models can be updated incrementally with each new data point, allowing them to learn and adapt in real-time. Another solution is to use human mobility data as a proxy for occupancy, leveraging the prevalence of mobile devices to track movement patterns and infer occupancy levels. Human mobility data can be useful in this context as it provides a way to monitor occupancy patterns without relying on traditional sensors or manual data collection methods. We have conducted extensive experiments using data from six buildings to test the efficacy of these approaches. However, deploying these methods in the real world presents several challenges.
description: 15 pages, 3 figures, ECML PKDD ADS 2023. 2023 09 09 edit: repeated column in tab 3. in previous version
Microarray analysis of androgen-regulated gene expression in testis: the use of the androgen-binding protein (ABP)-transgenic mouse as a model
Creators: name: Petrusz, Peter
name: Grossman, Gail
name: Jeyaraj, Durairaj A
Publisher: name: BioMed Central Ltd
Year: 2005

description: Abstract Background Spermatogenesis is an androgen-dependent process, yet the molecular mechanisms of androgens' actions in testis are poorly understood. Transgenic mice overexpressing rat androgen-binding protein (ABP) in their testes have reduced levels of intratesticular androgens and, as a result, show a progressive impairment of spermatogenesis. We used this model to characterize changes in global gene expression in testis in response to reduced bioavailability of androgens. Methods Total RNA was extracted from testes of 30-day old transgenic and wild-type control mice, converted to cRNA, labeled with biotin, and hybridized to oligonucleotide microarrays. Microarray results were confirmed by real-time reverse transcription polymerase chain reaction. Results Three-hundred-eighty-one genes (3.05% of all transcripts represented on the chips) were up-regulated and 198 genes (1.59%) were down-regulated by at least a factor of 2 in the androgen-deficient animals compared to controls. Genes encoding membrane proteins, intracellular signaling molecules, enzymes, proteins participating in the immune response, and those involved in cytoskeleton organization were significantly overrepresented in the up-regulated group. Among the down-regulated transcripts, those coding for extracellular proteins were overrepresented most dramatically, followed by those related to proteolysis, cell adhesion, immune response, and growth factor, cytokine, and ion channel activities. Transcripts with the greatest potential impact on cellular activities included several transcription factors, intracellular signal transducers, secreted signaling molecules and enzymes, and various cell surface molecules. Major nodes in the up-regulated network were IL-6, AGT, MYC, and A2M, those in the down-regulated network were IL-2, -4, and -10, MAPK8, SOCS1, and CREB1. Conclusion Microarray analysis followed by gene ontology profiling and connectivity analysis identified several functional groups of genes and individual genes responding to sustained reduction of androgen levels in the mouse testis. These include genes whose products function as transcription factors, cell surface molecules including ion channels, extra- and intracellular signaling molecules, and secreted enzymes with the potential of regulating cell-to-cell attachment. The transcription factors CREB1 (down-regulated) and MYC (up-regulated) may mediate the most important initial phases of the testicular response to reduced levels of androgens. These results suggest specific avenues for further research that will lead to a better understanding of how androgens regulate spermatogenesis.
title: Coarctation of aorta in an adult-a case report
Creators: name: Challa, Rajukumar
Publisher: name: European Society of Thoracic Imaging
Year: 2014
Subjects: subject: Imaging sequences
subject: CT
subject: Thorax
subject: Congenital

description: Learning objectives Background Imaging findings OR Procedure details Conclusion References Personal Information
description: Learning objectives: To familiarise the reader with the imaging features of coarctation of aorta in an...
title: Imaging review of pleural effusion: diagnosis and intervention
Creators: name: Hernandez Muñiz, Susana
Publisher: name: European Society of Thoracic Imaging
Year: 2014
Subjects: subject: Neoplasia
subject: Infection
subject: Drainage
subject: Diagnostic procedure
subject: Ultrasound
subject: CT
subject: Conventional radiography
subject: Interventional non-vascular
subject: Management
subject: Thorax

description: Learning objectives Background Imaging findings OR Procedure details Conclusion References Personal Information
description: Learning objectives: 1. To describe radiologic signs of pleural effusion in chest plain film 2. To emphasize the indications of other imaging methods, mainly US and CT, in the evaluation of pleural effusion 3. To review common and uncommon causes 4. To highligth the...
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity
Creators: name: Huang, Dong
name: Wang, Chang-Dong
name: Lai, Jian-Huang
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Despite significant progress, there remain three limitations to the previous multi-view clustering algorithms. First, they often suffer from high computational complexity, restricting their feasibility for large-scale datasets. Second, they typically fuse multi-view information via one-stage fusion, neglecting the possibilities in multi-stage fusions. Third, dataset-specific hyperparameter-tuning is frequently required, further undermining their practicability. In light of this, we propose a fast multi-view clustering via ensembles (FastMICE) approach. Particularly, the concept of random view groups is presented to capture the versatile view-wise relationships, through which the hybrid early-late fusion strategy is designed to enable efficient multi-stage fusions. With multiple views extended to many view groups, three levels of diversity (w.r.t. features, anchors, and neighbors, respectively) are jointly leveraged for constructing the view-sharing bipartite graphs in the early-stage fusion. Then, a set of diversified base clusterings for different view groups are obtained via fast graph partitioning, which are further formulated into a unified bipartite graph for final clustering in the late-stage fusion. Notably, FastMICE has almost linear time and space complexity, and is free of dataset-specific tuning. Experiments on 22 multi-view datasets demonstrate its advantages in scalability (for extremely large datasets), superiority (in clustering performance), and simplicity (to be applied) over the state-of-the-art. Code available: https://github.com/huangdonghere/FastMICE.
description: To appear in IEEE Transactions on Knowledge and Data Engineering
Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses
Creators: name: Savelka, Jaromir
name: Agarwal, Arav
name: An, Marshall
name: Bogart, Chris
name: Sakr, Majd
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computers and Society (cs.CY)
subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: This paper studies recent developments in large language models' (LLM) abilities to pass assessments in introductory and intermediate Python programming courses at the postsecondary level. The emergence of ChatGPT resulted in heated debates of its potential uses (e.g., exercise generation, code explanation) as well as misuses in programming classes (e.g., cheating). Recent studies show that while the technology performs surprisingly well on diverse sets of assessment instruments employed in typical programming classes the performance is usually not sufficient to pass the courses. The release of GPT-4 largely emphasized notable improvements in the capabilities related to handling assessments originally designed for human test-takers. This study is the necessary analysis in the context of this ongoing transition towards mature generative AI systems. Specifically, we report the performance of GPT-4, comparing it to the previous generations of GPT models, on three Python courses with assessments ranging from simple multiple-choice questions (no code involved) to complex programming projects with code bases distributed into multiple files (599 exercises overall). Additionally, we analyze the assessments that were not handled well by GPT-4 to understand the current limitations of the model, as well as its capabilities to leverage feedback provided by an auto-grader. We found that the GPT models evolved from completely failing the typical programming class' assessments (the original GPT-3) to confidently passing the courses with no human involvement (GPT-4). While we identified certain limitations in GPT-4's handling of MCQs and coding exercises, the rate of improvement across the recent generations of GPT models strongly suggests their potential to handle almost any type of assessment widely used in higher education programming courses. These findings could be leveraged by educators and institutions to adapt the design of programming assessments as well as to fuel the necessary discussions into how programming classes should be updated to reflect the recent technological developments. This study provides evidence that programming instructors need to prepare for a world in which there is an easy-to-use widely accessible technology that can be utilized by learners to collect passing scores, with no effort whatsoever, on what today counts as viable programming knowledge and skills assessments.
Final Management Action Plan Port Heiden Radio Relay Station, Alaska
Creators: name: Fernandez, Rachel
Publisher: name: Hart Crowser, Inc.
Year: 1997
Subjects: subject: Port Heiden
valueUri: https://core.tdar.org/browse/geographic-keyword/38099/port-heiden
subject: Anchorage, AK
valueUri: https://core.tdar.org/browse/geographic-keyword/84998/anchorage-ak
subject: Alaska (State / Territory)
valueUri: https://core.tdar.org/browse/geographic-keyword/1176/alaska-state-territory
subject: Fort Morrow
valueUri: https://core.tdar.org/browse/other-keyword/167902/fort-morrow
subject: Joint Base Elmendorf-Richardson
valueUri: https://core.tdar.org/browse/other-keyword/163587/joint-base-elmendorf-richardson
subject: Management Action Plan
valueUri: https://core.tdar.org/browse/other-keyword/167897/management-action-plan
subject: Radio Relay Station
valueUri: https://core.tdar.org/browse/other-keyword/167898/radio-relay-station

description: This Management Action Plan (MAP) for the Port Heiden Radio Relay Station (RRS) is intended to be a strategic document integrating the Environmental Restoration Program (ERP) into a series of response actions necessary to protect human health and the environment. Due to the dynamics inherent in the strategic planning process, the MAP represents a “snapshot” in time, requiring periodic updating to remain useful.
title: Pulmonary Sarcoidosis: Typical and Atypical HRCT Findings and Main Differential Diagnoses
Creators: name: Mereu, Manuela
Publisher: name: European Society of Thoracic Imaging
Year: 2014
Subjects: subject: Thorax
subject: CT
subject: Technical aspects
subject: Pathology

description: Learning objectives Background Imaging findings OR Procedure details Conclusion References Personal Information
description: Learning objectives: 1) to review the wide spectrum of HRCT presentation of pulmonary sarcoidosis. 2) to discuss HRCT findings useful to differentiate sarcoidosis from other...
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentation
Creators: name: Cohrs, Jan-Christopher
name: Bajaj, Chandrajit
name: Berkels, Benjamin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Hyperspectral images provide a rich representation of the underlying spectrum for each pixel, allowing for a pixel-wise classification/segmentation into different classes. As the acquisition of labeled training data is very time-consuming, unsupervised methods become crucial in hyperspectral image analysis. The spectral variability and noise in hyperspectral data make this task very challenging and define special requirements for such methods. Here, we present a novel unsupervised hyperspectral segmentation framework. It starts with a denoising and dimensionality reduction step by the well-established Minimum Noise Fraction (MNF) transform. Then, the Mumford-Shah (MS) segmentation functional is applied to segment the data. We equipped the MS functional with a novel robust distribution-dependent indicator function designed to handle the characteristic challenges of hyperspectral data. To optimize our objective function with respect to the parameters for which no closed form solution is available, we propose an efficient fixed point iteration scheme. Numerical experiments on four public benchmark datasets show that our method produces competitive results, which outperform three state-of-the-art methods substantially on three of these datasets.
A New Approach to Coding in Content Based MANETs
Creators: name: Joy, Joshua
name: Yu, Yu-Ting
name: Perez, Victor
name: Lu, Dennis
name: Gerla, Mario
Publisher: name: arXiv
Year: 2015
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: In content-based mobile ad hoc networks (CB-MANETs), random linear network coding (NC) can be used to reliably disseminate large files under intermittent connectivity. Conventional NC involves random unrestricted coding at intermediate nodes. This however is vulnerable to pollution attacks. To avoid attacks, a brute force approach is to restrict the mixing at the source. However, source restricted NC generally reduces the robustness of the code in the face of errors, losses and mobility induced intermittence. CB-MANETs introduce a new option. Caching is common in CB MANETs and a fully reassembled cached file can be viewed as a new source. Thus, NC packets can be mixed at all sources (including the originator and the intermediate caches) yet still providing protection from pollution. The hypothesis we wish to test in this paper is whether in CB-MANETs with sufficient caches of a file, the performance (in terms of robustness) of the restricted coding equals that of unrestricted coding. In this paper, we examine and compare unrestricted coding to full cache coding, source only coding, and no coding. As expected, we find that full cache coding remains competitive with unrestricted coding while maintaining full protection against pollution attacks.
Impact of Dynamic Tariffs for Smart EV Charging on LV Distribution Network Operation
Creators: name: Verbist, Flore
name: Panda, Nanda Kishor
name: Vergara, Pedro P.
name: Palensky, Peter
Publisher: name: arXiv
Year: 2023
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: With a growing share of electric vehicles (EVs) in our distribution grids, the need for smart charging becomes indispensable to minimise grid reinforcement. To circumvent the associated capacity limitations, this paper evaluates the effectiveness of different levels of network constraints and different dynamic tariffs, including a dynamic network tariff. A detailed optimisation model is first developed for public charging electric vehicles in a representative Dutch low voltage (LV) distribution network, susceptible to congestion and voltage problems by 2050 without smart charging of EVs. Later, a detailed reflection is made to assess the influence of the modelled features on the distribution system operator (DSO), charge point operator (CPO) costs, and the EVs' final state-of-charge (SOC) for both mono- (V1G) and bi-directional (V2G) charging. Results show that the dynamic network tariff outperforms other flat tariffs by increasing valley-filling. Consequently, compared to regular day-ahead pricing, a {significant} reduction in the frequency of congestion in the lines is achieved. In addition, V2G ensures the joint optimum for different stakeholders causing adequate EV user satisfaction, decreased CPO costs compared to conventional charging and fewer violations of grid constraints for the DSOs.
description: Accepted for publication in the proceedings of IEEE PES GM 2023, Orlando, Florida
Management Action Plan West Nome Tank Farm, Alaska
Creators: name: Fernandez, Rachel
Publisher: name: Hart Crowser, Inc.
Year: 1997
Subjects: subject: Nome
valueUri: https://core.tdar.org/browse/geographic-keyword/24449/nome
subject: Anchorage, AK
valueUri: https://core.tdar.org/browse/geographic-keyword/84998/anchorage-ak
subject: Alaska (State / Territory)
valueUri: https://core.tdar.org/browse/geographic-keyword/1176/alaska-state-territory
subject: Tank Farm
valueUri: https://core.tdar.org/browse/other-keyword/167901/tank-farm
subject: Joint Base Elmendorf-Richardson
valueUri: https://core.tdar.org/browse/other-keyword/163587/joint-base-elmendorf-richardson
subject: Management Action Plan
valueUri: https://core.tdar.org/browse/other-keyword/167897/management-action-plan

description: This Management Action Plan (MAP) for West Nome Tank Farm is intended to be a strategic document integrating the environmental restoration program into a series of response actions necessary to protect human health and the environment. Due to the dynamics inherent in the strategic planning process, the MAP represents a “snapshot” in time, requiring periodic updating to remain useful.
Self-similar energetics in large clusters of galaxies
Creators: name: Miniati, Francesco
name: Beresnyak, Andrey
Publisher: name: arXiv
Year: 2015
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Massive galaxy clusters are filled with a hot, turbulent and magnetized intra-cluster medium. Still forming under the action of gravitational instability, they grow in mass by accretion of supersonic flows. These flows partially dissipate into heat through a complex network of large-scale shocks [1], while residual transonic flows create giant turbulent eddies and cascades [2,3]. Turbulence heats the intra-cluster medium [4] and also amplifies magnetic energy by way of dynamo action [5-8]. However, the pattern regulating the transformation of gravitational energy into kinetic, thermal, turbulent and magnetic energies remains unknown. Here we report that the energy components of the intra-cluster medium are ordered according to a permanent hierarchy, in which the ratio of thermal to turbulent to magnetic energy densities remains virtually unaltered throughout the cluster's history, despite evolution of each individual component and the drive towards equipartition of the turbulent dynamo. This result revolves around the approximately constant efficiency of turbulence generation from the gravitational energy that is freed during mass accretion, revealed by our computational model of cosmological structure formation [3,9]. The permanent character of this hierarchy reflects yet another type of self-similarity in cosmology [10-13], while its structure, consistent with current data [14-18], encodes information about the efficiency of turbulent heating and dynamo action.
description: the published version of the paper in compliance with Nature's embargo policy is available at http://nature.com/articles/doi:10.1038/nature14552 or (PDF) http://www.nature.com/nature/journal/v523/n7558/pdf/nature14552.pdf