cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Mitigating the Performance Sacrifice in DP-Satisfied Federated Settings through Graph Contrastive Learning
Creators: name: Yang, Haoran
name: Zhao, Xiangyu
name: Li, Muyang
name: Chen, Hongxu
name: Xu, Guandong
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Currently, graph learning models are indispensable tools to help researchers explore graph-structured data. In academia, using sufficient training data to optimize a graph model on a single device is a typical approach for training a capable graph learning model. Due to privacy concerns, however, it is infeasible to do so in real-world scenarios. Federated learning provides a practical means of addressing this limitation by introducing various privacy-preserving mechanisms, such as differential privacy (DP) on the graph edges. However, although DP in federated graph learning can ensure the security of sensitive information represented in graphs, it usually causes the performance of graph learning models to degrade. In this paper, we investigate how DP can be implemented on graph edges and observe a performance decrease in our experiments. In addition, we note that DP on graph edges introduces noise that perturbs graph proximity, which is one of the graph augmentations in graph contrastive learning. Inspired by this, we propose leveraging graph contrastive learning to alleviate the performance drop resulting from DP. Extensive experiments conducted with four representative graph models on five widely used benchmark datasets show that contrastive learning indeed alleviates the models' DP-induced performance drops.
description: Accepted by Information Sciences
Mu_x boosted-bottom-jet tagging and Z-prime boson searches
Creators: name: Pedersen, Keith
name: Sullivan, Zack
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We present a new technique for tagging heavy-flavor jets with p_T > 500 GeV called "mu_x tagging." Current track-based methods of b-jet tagging lose efficiency and experience a large rise in fake rate in the boosted regime. Using muons from B hadron decay, we combine angular information and jet substructure to tag b jets, c jets, light jets, and "light-heavy" jets (those containing B hadrons from gluon splitting). We find tagging efficiencies of epsilon_b = 14%, epsilon_c = 6.5%, epsilon_{light-light} = 0.14%, and epsilon_{light-heavy} = 0.5%, respectively, that are nearly independent of transverse momentum at high energy. We demonstrate the usefulness of this new scheme by examining the discovery potential for multi-TeV leptophobic Z-prime bosons in the boosted-b-tagged dijet channel at the Large Hadron Collider.
description: 22 pgs., 7 figs, several references added
Arduino Program
Creators: name: Lau, Soon Kiat
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Arduino
subject: Dry
subject: Food Engineering
subject: Food Science
subject: Heat
subject: Microbiology
subject: FOS: Biological sciences
subject: Open Source
subject: Salmonella
subject: Thermal death kinetics
subject: Thermal resistance

description: Arduino code that should be uploaded to the Arduino Nano used in each TDT Sandwich.
title: Mouse lymphatic endothelial cell targeted probes: anti-LYVE-1 antibody-based magnetic nanoparticles
Creators: name: Liu, Yi
Publisher: name: European Congress of Radiology
Year: 2014
Subjects: subject: Abdomen
subject: MR
subject: Contrast agent-intravenous
subject: Haemodynamics / Flow dynamics

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: To investigate the specific targeting property of lymphatic vessel endothelial hyaluronan receptor-1 binding polyethylene glycol-coated ultrasmall superparamagnetic iron oxide (LYVE-1-PEG-USPIO) nanoparticles to mouse lymphatic endothelial cells...
Removal of conical singularities from rotating C-metrics and dual CFT entropy
Creators: name: Astorino, Marco
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We show how to remove from the rotating C-metric spacetime, which describes accelerating Kerr black holes, both conical singularities. This can be done by embedding the metric into a swirling gravitational universe, through a proper Ehlers transformation. The spin-spin interaction between the external rotational background and the black hole provides the source of the acceleration without the need of rods or strings. The physical properties and entropy of the new solution are studied using near horizon and dual conformal techniques of the Kerr/CFT correspondence. The charged case is also analysed: Accelerating Reissner-Nordstrom and Accelerating Kerr-Newman space-times embedded in a swirling universe are also generated.
description: 18 pages, no figures
Second-order cosmological perturbation theory and initial conditions for $N$-body simulations
Creators: name: Christopherson, Adam J.
name: Hidalgo, Juan Carlos
name: Rampf, Cornelius
name: Malik, Karim A.
Publisher: name: arXiv
Year: 2015
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We use gauge-invariant cosmological perturbation theory to calculate the displacement field that sets the initial conditions for $N$-body simulations. Using first and second-order fully relativistic perturbation theory in the synchronous-comoving gauge, allows us to go beyond the Newtonian predictions and to calculate relativistic corrections to it. We use an Einstein--de Sitter model, including both growing and decaying modes in our solutions. The impact of our results should be assessed through the implementation of the featured displacement in cosmological $N$-body simulations.
description: V2: Second order density added and other expressions simplified. References updated. 15 pages
Cross-Correlation of the Extragalactic Gamma-ray Background with Luminous Red Galaxies
Creators: name: Shirasaki, Masato
name: Horiuchi, Shunsaku
name: Yoshida, Naoki
Publisher: name: arXiv
Year: 2015
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Measurements of the cross-correlation between the extragalactic gamma-ray background (EGB) and large-scale structure provide a novel probe of dark matter on extragalactic scales. We focus on luminous red galaxies (LRGs) as optimal targets to search for the signal of dark matter annihilation. We measure the cross-correlation function of the EGB taken from the Fermi Large Area Telescope with the LRGs from the Sloan Digital Sky Survey. Statistical errors are calculated using a large set of realistic mock LRG catalogs. The amplitude of the measured cross-correlation is consistent with null detection. Based on an accurate theoretical model of the distribution of dark matter associated with LRGs, we exclude dark matter annihilation cross-sections over $\langle σv\rangle =3\times10^{-25}-10^{-26}\, {\rm cm}^3 \,{\rm s}^{-1}$ for a 10 GeV dark matter. We further investigate systematic effects due to uncertainties in the Galactic gamma-ray foreground emission, which we find to be an order of magnitude smaller than the current statistical uncertainty. We also estimate the contamination from astrophysical sources in the LRGs by using known scaling relations between gamma-ray luminosity and star-formation rate, finding them to be negligibly small. Based on these results, we suggest that LRGs remain ideal targets for probing dark matter annihilation with future EGB measurement and galaxy surveys. Increasing the number of LRGs in upcoming galaxy surveys such as LSST would lead to big improvements of factors of several in sensitivity.
description: 11 pages, 4 figures, Accepted for publication in PRD
Fluctuations of the cosmic background radiation appearing in the 10-dimensional cosmological model
Creators: name: Tomita, Kenji
Publisher: name: arXiv
Year: 2015
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We consider a cosmological model starting from (1) the(1+3+6)-dimensional space-times consisting of the outer space (the 3-dimensional expanding section) and the inner space (the 6-dimensional section) and reaching (2) the Friedmann model after the decoupling between the outer space and the inner space, and derive fluctuations of the background radiation appearing in the above 10-dimensional space-times. For this purpose we first derive the fluid-dynamical perturbations in the above 10-dimensional space-times, corresponding to two kinds of curvature perturbations (in the scalar mode) in the non-viscous case, and next study the quantum fluctuations in the scalar and tensor modes, appearing at the stage when the perturbations are within the horizon of the inflating outer space. Lastly we derive the wave-number dependence of fluctuations (the power spectrum) in the two modes, which formed at the above decoupling epoch and are observed in the Friedmann stage. It is found that it can be consistent with the observed spectra of the cosmic microwave background radiation.
description: 23 pages, 2 figures
title: Microfocus x-ray systems as the mean for examination of osseous tissue regeneration in animals with application of stem cells
Creators: name: Vasilev, Yurii
Publisher: name: European Congress of Radiology
Year: 2014
Subjects: subject: Anatomy
subject: Molecular imaging
subject: Musculoskeletal bone
subject: Experimental
subject: Molecular imaging
subject: Diagnostic procedure
subject: Molecular, genomics and proteomics

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: To evaluate the possibility of microfocus X-ray (MXR) with 5x and 7x magnification for the control of bone tissue regeneration...
title: Evaluation of renal artery stenosis and effects of stent therapy by BOLD MRI
Creators: name: long, zhao
Publisher: name: European Congress of Radiology
Year: 2014
Subjects: subject: Kidney
subject: Cardiovascular system
subject: Arteries / Aorta
subject: MR
subject: CT-Angiography
subject: MR-Angiography
subject: Catheters
subject: CAD
subject: Computer Applications-3D
subject: Dissection
subject: Aneurysms
subject: Hypertension

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Because of paramagnetic properties of deoxyhemoglobin, BOLD MRI can determine the deoxyhemoglobin concentration in blood. Then BOLD MRI signals can reflect the oxygenation status of tissue.Renal blood oxygen level-dependent magnetic resonance...
Adversarial Machine Learning-Based Anticipation of Threats Against Vehicle-to-Microgrid Services
Creators: name: Omara, Ahmed
name: Kantarci, Burak
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: In this paper, we study the expanding attack surface of Adversarial Machine Learning (AML) and the potential attacks against Vehicle-to-Microgrid (V2M) services. We present an anticipatory study of a multi-stage gray-box attack that can achieve a comparable result to a white-box attack. Adversaries aim to deceive the targeted Machine Learning (ML) classifier at the network edge to misclassify the incoming energy requests from microgrids. With an inference attack, an adversary can collect real-time data from the communication between smart microgrids and a 5G gNodeB to train a surrogate (i.e., shadow) model of the targeted classifier at the edge. To anticipate the associated impact of an adversary's capability to collect real-time data instances, we study five different cases, each representing different amounts of real-time data instances collected by an adversary. Out of six ML models trained on the complete dataset, K-Nearest Neighbour (K-NN) is selected as the surrogate model, and through simulations, we demonstrate that the multi-stage gray-box attack is able to mislead the ML classifier and cause an Evasion Increase Rate (EIR) up to 73.2% using 40% less data than what a white-box attack needs to achieve a similar EIR.
description: IEEE Global Communications Conference (Globecom), 2022, 6 pages, 2 Figures, 4 Tables
Quantum supersymmetric FRW cosmology with a scalar field
Creators: name: Ramírez, C.
name: Vázquez-Báez, V.
Publisher: name: arXiv
Year: 2015
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We analyze the quantum supersymmetric cosmological FRW model with a scalar field, with a conditional probability density and the scalar field identified as time. The Hilbert space has a spinorial structure and there is only one consistent solution, with a conserved probability density. The dynamics of the scale factor is obtained from its mean value. The uncertainty relations are fulfilled and the corresponding fluctuations are consistent with a semiclassical Universe. We give two examples which turn out to have negative potential.
description: 12 pages, 11 figures
Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection
Creators: name: Liu, Jinxin
name: Simsek, Murat
name: Kantarci, Burak
name: Bagheri, Mehran
name: Djukic, Petar
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Intrusion Detection Systems (IDS) are critical security mechanisms that protect against a wide variety of network threats and malicious behaviors on networks or hosts. As both Network-based IDS (NIDS) or Host-based IDS (HIDS) have been widely investigated, this paper aims to present a Combined Intrusion Detection System (CIDS) that integrates network and host data in order to improve IDS performance. Due to the scarcity of datasets that include both network packet and host data, we present a novel CIDS dataset formation framework that can handle log files from a variety of operating systems and align log entities with network flows. A new CIDS dataset named SCVIC-CIDS-2021 is derived from the meta-data from the well-known benchmark dataset, CIC-IDS-2018 by utilizing the proposed framework. Furthermore, a transformer-based deep learning model named CIDS-Net is proposed that can take network flow and host features as inputs and outperform baseline models that rely on network flow features only. Experimental results to evaluate the proposed CIDS-Net under the SCVIC-CIDS-2021 dataset support the hypothesis for the benefits of combining host and flow features as the proposed CIDS-Net can improve the macro F1 score of baseline solutions by 6.36% (up to 99.89%).
description: IEEE Global Communications Conference (Globecom), 2022, 6 pages, 3 figures 4 tables
title: Identification of measurable lesions: an opportunity for improving reliability of RECIST assessments
Creators: name: Beaumont, Hubert
Publisher: name: European Congress of Radiology
Year: 2014
Subjects: subject: Oncology
subject: Lung
subject: Computer applications
subject: CT-Quantitative
subject: CAD
subject: Experimental
subject: Observer performance
subject: Computer Applications-General
subject: Statistics
subject: Image verification
subject: Cancer
subject: Tissue characterisation

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Response Evaluation Criteria in Solid Tumor (RECIST) is the main imaging citeria in oncology, several limitations have however been documented. One of these limitations is the identification of “Measurable” Lesions (ML). To be applicable, the...
Prior Knowledge based Advanced Persistent Threats Detection for IoT in a Realistic Benchmark
Creators: name: Shen, Yu
name: Simsek, Murat
name: Kantarci, Burak
name: Mouftah, Hussein T.
name: Bagheri, Mehran
name: Djukic, Petar
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: The number of Internet of Things (IoT) devices being deployed into networks is growing at a phenomenal level, which makes IoT networks more vulnerable in the wireless medium. Advanced Persistent Threat (APT) is malicious to most of the network facilities and the available attack data for training the machine learning-based Intrusion Detection System (IDS) is limited when compared to the normal traffic. Therefore, it is quite challenging to enhance the detection performance in order to mitigate the influence of APT. Therefore, Prior Knowledge Input (PKI) models are proposed and tested using the SCVIC-APT- 2021 dataset. To obtain prior knowledge, the proposed PKI model pre-classifies the original dataset with unsupervised clustering method. Then, the obtained prior knowledge is incorporated into the supervised model to decrease training complexity and assist the supervised model in determining the optimal mapping between the raw data and true labels. The experimental findings indicate that the PKI model outperforms the supervised baseline, with the best macro average F1-score of 81.37%, which is 10.47% higher than the baseline.
description: IEEE Global Communications Conference (Globecom), 2022, 6 pages, g figures, 6 tables
Preventing Unintentional Drug Overdose in North Carolina by Advocating for Policies that Support Overdose Prevention
Creators: name: Rupp, Betty
name: Bailey, Justin
name: Glasser, Allison
name: Haller, Colleen
name: Rich, Natalie
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2013

description: The main purpose of this Capstone project was to develop and promote a policy, which became the 911 Good Samaritan and Naloxone Access bill, to reduce unintentional drug overdose deaths in North Carolina (NC). The team's partner organization, North Carolina Harm Reduction Coalition (NCHRC), solicited the Capstone team's help in raising awareness about NC's overdose problem, developing a policy solution, and advocating for state-level policy change. The Capstone project increased NCHRC's capacity to advocate for the 911 Good Samaritan and Naloxone Access bill, strengthened NCHRC's relationship with the North Carolina General Assembly (NCGA) and community stakeholders, raised awareness of the problem of drug overdose, and resulted in the passage of the policy into law. In 2010, unintentional poisoning, which typically involves drugs, became the second leading cause of injury death for all ages in the United States. Between 1997 and 2001, drug overdose deaths more than doubled in NC. Opioid pain relievers (OPR) accounted for 88% of the increase in drug-related deaths. Many overdose prevention efforts have focused on the supply side, with policies dictating prescribing practice or drug abuse screening and prevention. Although these efforts can prevent an overdose from happening, overdoses will still occur even with the best prevention efforts. Achieving a broader reduction in fatal overdose requires a more targeted policy-level intervention. For this Capstone project, the team produced five deliverables. Deliverable 1 was a literature review of the impact of drug overdose in NC and a fact sheet for distribution to stakeholders. Deliverable 2 consisted of policy recommendations, based on the literature review, intended to guide legislative sponsors in drafting a bill. Deliverable 3 was a presentation to the John Locke Foundation (JLF), a policy think tank, to educate their members and elicit support for the policy. Deliverable 4 was a drug overdose prevention summit in Raleigh to raise awareness and support among various stakeholders, including legislators, for the 911 Good Samaritan and Naloxone Access bill. Lastly, Deliverable 5 included the development of educational materials to raise awareness about the new law.
title: Testicular tumors; Ultrasonographic and Pathologic correlation
Creators: name: Kim, Yongsoo
Publisher: name: European Congress of Radiology
Year: 2014
Subjects: subject: Genital / Reproductive system male
subject: Ultrasound
subject: Ultrasound-Colour Doppler
subject: Diagnostic procedure
subject: Neoplasia
subject: Pathology

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: The purpose of this exhibit is to correlate the US imaging features of tumors of the testis with their pathologic...
On Instanton Superpotentials, Calabi-Yau Geometry, and Fibrations
Creators: name: Anderson, Lara B.
name: Apruzzi, Fabio
name: Gao, Xin
name: Gray, James
name: Lee, Seung-Joo
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In this paper we explore contributions to non-perturbative superpotentials arising from instantons wrapping effective divisors in smooth Calabi-Yau four-folds. We concentrate on the case of manifolds constructed as complete intersections in products of projective spaces (CICYs) or generalizations thereof (gCICYs). We systematically investigate the structure of the cone of effective (algebraic) divisors in the four-fold geometries and employ the same tools recently developed in arXiv:1507.03235 to construct more general instanton geometries than have previously been considered in the literature. We provide examples of instanton configurations on Calabi-Yau manifolds that are elliptically and $K3$-fibered and explore their consequences in the context of string dualities. The examples discussed include manifolds containing infinite families of divisors with arithmetic genus, $χ(D, \mathcal O_D)=1$ and superpotentials exhibiting modular symmetry.
description: 27 pages. v2: a footnote and references added, a paragraph inserted in the introduction and wordings adjusted to more clearly state our focus
title: High-Resolution Magnetic Resonance Imaging Assessment of Dactylitis in Psoriatic Arthritis shows flexor tendon pulley and sheath related enthesitis
Creators: name: Fukuba, Eiji
Publisher: name: European Congress of Radiology
Year: 2014
Subjects: subject: Inflammation
subject: Imaging sequences
subject: MR
subject: Musculoskeletal soft tissue
subject: Musculoskeletal joint

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Dactylitis is a hallmark of psoriatic arthritis (PsA) occurring in 39% of PsA cases at diagnosis (1). It is characterized by diffuse swelling of the digit - described as a “sausage-like” appearance - and can also be seen, albeit less...
Experiences of Community Integration for Vulnerably Housed Formerly Homeless Women
Creators: name: Bassi, Amandeep
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2017
Subjects: Community integration
Women
Vulnerably housed
Homeless
Citizenship
Housing first

description: Community integration is based on the premise that people with disabilities should have opportunities equal to their non-disabled counterparts (Wong & Solomon, 2002). The purpose of this research was to investigate predictors of community integration and the experiences of community integration for vulnerably housed (i.e., housing that falls below standard levels of adequacy, affordability, and suitability (Canadian Mortgage and Housing Corporation, 2008)) women with a history of homelessness. A quantitative study design used data from women participants in the Health and Housing in Transition (HHiT) study in Ottawa, Toronto, and Vancouver at two-time points (i.e., follow-up 2 (N = 217) and follow-up 3 (N = 208)). Furthermore, a longitudinal qualitative study (i.e., baseline (N = 16) and 6-month follow-up (N = 13)) was also conducted with female participants from the Supportive Housing for People with Problematic Substance Use (SHARPE) evaluation study in Ottawa. Participants were interviewed using mapping techniques, neighbourhood walk-along, and semi-structured photo- elicitation methods. Overall, the findings of the studies show that both individual and environmental factors play an important role in community integration. Together, these studies suggest that for formerly homeless women, factors that have the greatest association with community integration are feeling healthy, having social support, partaking in organized activities, receiving greater income support, feeling protected from victimization, and living in high quality apartments and neighbourhoods close to amenities. Implications of these findings for future research and for improving neighbourhood integration of tenants were also discussed.
title: ‘Knitting together all Parts of the Vast Structure of Society’: care work, philanthropy and urban welfare in Scotland, c 1720 c 1840
Creators: name: Bujokova, Eliska
Publisher: name: University of Glasgow
Year: 2024

description: This thesis studies care in the context of urban Scotland between 1720s and 1840s. It treats care as a concept, a resource and an economic phenomenon, as well as a practice and a form of labour. In this thesis, care is contextualised by its socio-economic and political milieus. The backdrop of this research is Scotland’s industrialisation and imperial expansion that shaped the nation’s socio-economic and demographic structures, which contributed to the transformation of the nation’s regimes of care. I therefore situate care at the centre of contemporary debates around welfare and social policy. This thesis speaks to the economic histories of Scottish (and British) industrialisation that have thus far not included care and social reproduction as causative factors. It contributes to the field of new histories of labour; surveying the ways changing socio-economic relations reshaped the labours of care. My focus is primarily on commodified forms of care work as opposed to its unpaid forms, aiming to point out the vastness of the care market. As such, I view care work mediated through the market or performed inside institutions such as voluntary hospitals and orphanages. Through this focus, I highlight the nature of care work as an occupation or a form of entrepreneurship. With the continued association between care and the unpaid work of women within the home, gender plays an important role in this analysis, largely inspired by the work of feminist economics. I show that whilst care work in eighteenth-century Scotland was feminised, men performed a lot of it too. Moreover, much care work was commodified and performed alongside other forms of paid work. Supporting new research on gender and work, I argue that familial caring responsibilities did not shape women’s labour force participation, instead being distributed amongst available sources of provision, paid and unpaid. Summarily, accounting for economic histories of care is necessary for the understanding of all economic processes, as well as their gendering.
Handling big tabular data of ICT supply chains: a multi-task, machine-interpretable approach
Creators: name: Xiao, Bin
name: Simsek, Murat
name: Kantarci, Burak
name: Alkheir, Ala Abu
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Due to the characteristics of Information and Communications Technology (ICT) products, the critical information of ICT devices is often summarized in big tabular data shared across supply chains. Therefore, it is critical to automatically interpret tabular structures with the surging amount of electronic assets. To transform the tabular data in electronic documents into a machine-interpretable format and provide layout and semantic information for information extraction and interpretation, we define a Table Structure Recognition (TSR) task and a Table Cell Type Classification (CTC) task. We use a graph to represent complex table structures for the TSR task. Meanwhile, table cells are categorized into three groups based on their functional roles for the CTC task, namely Header, Attribute, and Data. Subsequently, we propose a multi-task model to solve the defined two tasks simultaneously by using the text modal and image modal features. Our experimental results show that our proposed method can outperform state-of-the-art methods on ICDAR2013 and UNLV datasets.
description: 6 pages, 7 tables, 4 figures, IEEE Global Communications Conference (Globecom), 2022
Reverberation Mapping with Intermediate-Band Photometry: Detection of Broad-Line H$α$ Time Lags for Quasars at $0.2
Creators: name: Jiang, Linhua
name: Shen, Yue
name: McGreer, Ian D.
name: Fan, Xiaohui
name: Morganson, Eric
name: Windhorst, Rogier A.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We present a reverberation mapping (RM) experiment that combines broad- and intermediate-band photometry; it is the first such attempt targeting a sample of 13 quasars at $0.20.2$.
description: 12 pages, 9 figures, accepted for publication in ApJ
title: Histoscanning in diagnosis of prostate cancer
Creators: name: Fedorova, Anna
Publisher: name: European Congress of Radiology
Year: 2014
Subjects: subject: Computer applications
subject: Genital / Reproductive system male
subject: Oncology
subject: Ultrasound
subject: Biopsy
subject: Computer Applications-3D
subject: Diagnostic procedure
subject: Cancer

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Differential diagnosis between malignant lesions and non-tumor diseases of the prostate is still a difficult task for radiology. MRI is considered as a best non-invasive method for detection of prostate cancer. [1] At the same time, MRI is a...
Interplay of Rashba spin orbit coupling and disorder in the conductance properties of a four terminal junction device
Creators: name: Ganguly, Sudin
name: Basu, Saurabh
Publisher: name: arXiv
Year: 2015
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We report a thorough theoretical investigation on the quantum transport of a disordered four terminal device in the presence of Rashba spin orbit coupling (RSOC) in two dimensions. Specifically we compute the behaviour of the longitudinal (charge) conductance, spin Hall conductance and spin Hall conductance fluctuation as a function of the strength of disorder and Rashba spin orbit interaction using the Landauer Buttiker formalism via Green's function technique. Our numerical calculations reveal that both the conductances diminish with disorder. At smaller values of the RSOC parameter, the longitudinal and spin Hall conductances increase, while both vanish in the strong RSOC limit. The spin current is more drastically affected by both disorder and RSOC than its charge counterpart. The spin Hall conductance fluctuation does not show any universality in terms of its value and it depends on both disorder as well as on the RSOC strength. Thus the spin Hall conductance fluctuation has a distinct character compared to the fluctuation in the longitudinal conductance. Further one parameter scaling theory is studied to assess the transition to a metallic regime as claimed in literature and we find no confirmation about the emergence of a metallic state induced by RSOC.
description: arXiv admin note: text overlap with arXiv:1201.4563 by other authors
Modeling biological face recognition with deep convolutional neural networks
Creators: name: van Dyck, Leonard E.
name: Gruber, Walter R.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Deep convolutional neural networks (DCNNs) have become the state-of-the-art computational models of biological object recognition. Their remarkable success has helped vision science break new ground and recent efforts have started to transfer this achievement to research on biological face recognition. In this regard, face detection can be investigated by comparing face-selective biological neurons and brain areas to artificial neurons and model layers. Similarly, face identification can be examined by comparing in vivo and in silico multidimensional "face spaces". In this review, we summarize the first studies that use DCNNs to model biological face recognition. On the basis of a broad spectrum of behavioral and computational evidence, we conclude that DCNNs are useful models that closely resemble the general hierarchical organization of face recognition in the ventral visual pathway and the core face network. In two exemplary spotlights, we emphasize the unique scientific contributions of these models. First, studies on face detection in DCNNs indicate that elementary face selectivity emerges automatically through feedforward processing even in the absence of visual experience. Second, studies on face identification in DCNNs suggest that identity-specific experience and generative mechanisms facilitate this particular challenge. Taken together, as this novel modeling approach enables close control of predisposition (i.e., architecture) and experience (i.e., training data), it may be suited to inform long-standing debates on the substrates of biological face recognition.
description: 41 pages, 2 figures, 1 table
title: The role of magnetic resonance imaging in planning multivisceral resection in patients with locally advanced primary and recurrent rectal cancer
Creators: name: Puzakov, Kirill
Publisher: name: European Congress of Radiology
Year: 2014
Subjects: subject: Oncology
subject: Pelvis
subject: Colon
subject: MR
subject: MR-Diffusion/Perfusion
subject: Surgery
subject: Neoplasia

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: The aim of the study was to determine the possibilities of magnetic resonance imaging (MRI) to evaluate implementation of the multivisceral resection in patients with locally advanced primary and recurrent rectal...
The bulk Hilbert space of double scaled SYK
Creators: name: Lin, Henry W.
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: The emergence of the bulk Hilbert space is a mysterious concept in holography. In arXiv:1811.02584, the SYK model was solved in the double scaling limit by summing chord diagrams. Here, we explicitly construct the bulk Hilbert space of double scaled SYK by slicing open these chord diagrams; this Hilbert space resembles that of a lattice field theory where the length of the lattice is dynamical and determined by the chord number. Under a calculable bulk-to-boundary map, states of fixed chord number map to particular entangled 2-sided states with a corresponding size. This bulk reconstruction is well-defined even when quantum gravity effects are important. Acting on the double scaled Hilbert space is a Type II$_1$ algebra of observables, which includes the Hamiltonian and matter operators. In the appropriate quantum Schwarzian limit, we also identify the JT gravitational algebra including the physical SL(2,R) symmetry generators, and obtain explicit representations of the algebra using chord diagram techniques.
description: 31 pages, 12 figures; v2-v4: fewer typos, more refs and clarifications
title: Development of New Phantom to Cerebral Infarction and Application of Composite Images for Visualization in Dual-Energy CT
Creators: name: Hara, Hidetake
Publisher: name: European Congress of Radiology
Year: 2014
Subjects: subject: Neuroradiology brain
subject: Emergency
subject: CT
subject: Physics
subject: Ischaemia / Infarction

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Background In Japan, cerebrovascular disease is the fourth cause of death and the first cause of bedridden patients. Recently, cerebral stroke has been under serious consideration due to the westernization of the diets and an increase in geriatric...
UNC Center for Environmental Health and Susceptibility: Understanding Healthy Homes Education and Policy Needs in Lenoir and Durham Counties and Developing Recommendations for Outreach
Creators: name: Zelek, Michael
name: Goldman, Shira
name: Berthiaume, Rachel
name: Child, Anna
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: Background: Environmental exposures have been linked to increased risks of numerous health conditions, including asthma, cancer, obesity, and lead poisoning. The Community Outreach and Engagement Core (COEC) at the University of North Carolina Center for Environmental Health and Susceptibility (CEHS) received a three-year grant from the Centers for Disease Control and Prevention (CDC) to implement Healthy Homes programming across North Carolina in 2011. The Capstone team was tasked with assessing the home health-related educational needs of Durham and Lenoir County residents to help inform this programming. Methods: The Capstone team conducted demographic and epidemiological information reviews, qualitative formative research, community visits, assessments of the COEC's existing educational materials, and examination of existing Healthy Homes policies and current literature on effective environmental health outreach interventions and strategies. The Capstone team performed 14 key informant interviews with community leaders in Durham and Lenoir Counties, as well as three focus groups with community members in Lenoir County. Results: Data showed that poverty, unemployment, and safety were over-arching issues in both counties. In Durham, the most commonly mentioned environmental health issues were indoor air quality and mold. Lead was also indicated often and has historically been a problem in the county. Lenoir County's top environmental health issues were water quality, housing issues, outdoor air quality, and lead. Access to environmental health education and costs are frequent barriers to acting on environmental health risks. Organizations in the two areas vary in both their focus on environmental health issues and capacity to provide education and outreach. Discussion: The Capstone team's recommended improvements to the COEC's Healthy Homes-focused outreach and education strategies are organized into three areas: engagement, adult learning methods, and education. The COEC's engagement efforts could be improved by increasing their presence in Lenoir County. Healthy Homes trainings could be improved by increasing the use of participatory teaching methods. The education could be strengthened and tailored to the audience's needs by integrating cost-saving tips and conducting more evaluation of the trainings with participants.
A Search for Water in the Atmosphere of HAT-P-26b Using LDSS-3C
Creators: name: Stevenson, Kevin B.
name: Bean, Jacob L.
name: Seifahrt, Andreas
name: Gilbert, Gregory J.
name: Line, Michael R.
name: Desert, Jean-Michel
name: Fortney, Jonathan J.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: The characterization of a physically-diverse set of transiting exoplanets is an important and necessary step towards establishing the physical properties linked to the production of obscuring clouds or hazes. It is those planets with identifiable spectroscopic features that can most effectively enhance our understanding of atmospheric chemistry and metallicity. The newly-commissioned LDSS-3C instrument on Magellan provides enhanced sensitivity and suppressed fringing in the red optical, thus advancing the search for the spectroscopic signature of water in exoplanetary atmospheres from the ground. Using data acquired by LDSS-3C and the Spitzer Space Telescope, we search for evidence of water vapor in the transmission spectrum of the Neptune-mass planet HAT-P-26b. Our measured spectrum is best explained by the presence of water vapor, a lack of potassium, and either a high-metallicity, cloud-free atmosphere or a solar-metallicity atmosphere with a cloud deck at ~10 mbar. The emergence of multi-scale-height spectral features in our data suggests that future observations at higher precision could break this degeneracy and reveal the planet's atmospheric chemical abundances. We also update HAT-P-26b's transit ephemeris, t_0 = 2455304.65218(25) BJD_TDB, and orbital period, p = 4.2345023(7) days.
description: 9 pages, 8 figures, Accepted for publication in ApJ
title: MRI-guided minimally invasive interventions in pelvic tumors for verifying diagnosis
Creators: name: Neledov, Dmitriy
Publisher: name: European Congress of Radiology
Year: 2014
Subjects: subject: Interventional non-vascular
subject: Pelvis
subject: Oncology
subject: MR
subject: Biopsy
subject: Image verification
subject: Metastases
subject: Neoplasia

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Minimally invasive interventions in cancer patients are performed under the guidance of different imaging modalities, such as sonography, X-ray, computed tomography (CT) and magnetic resonance (MR) [1]. In specific clinical cases each of the methods...
The quantum (non-Abelian) Potts model and its exact solution
Creators: name: Mohseninia, Razieh
name: Karimipour, Vahid
Publisher: name: arXiv
Year: 2015
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We generalize the classical one dimensional Potts model to the case where the symmetry group is a non-Abelian finite group. It turns out that this new model has a quantum nature in that its spectrum of energy eigenstates consists of entangled states. We determine the complete energy spectrum, i.e. the ground states and all the excited states with their degeneracy structure. We calculate the partition function by two different algebraic and combinatorial methods. We also determine the entanglement properties of its ground states.
description: 18 pages, 5 figures. Accepted for publication in Physical Review B
Towards standard imsets for maximal ancestral graphs
Creators: name: Hu, Zhongyi
name: Evans, Robin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: The imsets of Studený (2005) are an algebraic method for representing conditional independence models. They have many attractive properties when applied to such models, and they are particularly nice for working with directed acyclic graph (DAG) models. In particular, the 'standard' imset for a DAG is in one-to-one correspondence with the independences it induces, and hence is a label for its Markov equivalence class. We first present a proposed extension to standard imsets for maximal ancestral graph (MAG) models, using the parameterizing set representation of Hu and Evans (2020). In these cases the imset provides a scoring criteria by measuring the discrepancy for a list of independences that define the model; this gives an alternative to the usual BIC score that is also consistent, and much easier to compute. We also show that, of independence models that do represent the MAG, the imset we give is minimal. Unfortunately, for some graphs the representation does not represent all the independences in the model, and in certain cases does not represent any at all. For these general MAGs, we refine the reduced ordered local Markov property Richardson (2003) by a novel graphical tool called _power DAGs_, and this results in an imset that induces the correct model and which, under a mild condition, can be constructed in polynomial time.
description: Accepted to Bernoulli, 58 pages, 17 figures
title: Review of Normal peritoneal reflections and diseases of peritoneum using MDCT
Creators: name: Shin, Sang Wook
Publisher: name: European Congress of Radiology
Year: 2014
Subjects: subject: Abdomen
subject: Anatomy
subject: CT
subject: Perception image
subject: Infection
subject: Metastases
subject: Pathology

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: The purposes of this exhibit are to illustrate usual and unusual peritoneal disease and to find the imaging characteristics of individual disease. We classified MDCT findings of peritoneal disease as follows: disseminated, nodular, cystic...
Additional file 4 of Changes in nitric oxide inhibitors and mortality in critically ill patients: a cohort study
Creators: name: Mortensen, Karoline Myglegård
name: Itenov, Theis Skovsgaard
name: Stensballe, Jakob
name: Hillig, Thore
name: Jensen, Claus Antonio Juel
name: Schønemann-Lund, Martin
name: Bestle, Morten Heiberg
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Molecular Biology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Virology

description: Supplementary Material 4