cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Reductive views of knowledge and the small difference principle
Creators: name: Wimmer, Simon
Publisher: name: TU Dortmund
Year: 2023
Subjects: subject: knowledge
subject: primitivism about knowledge
subject: epistemology
subject: 100

description: I develop a challenge to reductive views of knowing that ϕ that appeal to what I call a gradable property. Such appeal allows for properties that are intrinsically very similar to the property of knowing that ϕ, but differ significantly in their normative significance. This violates the independently plausible claim Pautz (2017) labels the ‘small difference principle.’
description: Canadian journal of philosophy;52(8)
Psectrocladius (Psectrocladius) sordidellus
Creators: name: Stasiukynas, Laurynas
name: Laurindo da Silva, Fabio
name: Havelka, Jekaterina
name: Podėnas, Sigitas
name: Lekoveckaitė, Aistė
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Chironomidae
Psectrocladius
Psectrocladius sordidellus

description: Psectrocladius (Psectrocladius) sordidellus (Zetterstedt, 1838)
Notes
Morpho identification. First record for Lithuania (Grigelis 1999).
description: Published as part of Stasiukynas, Laurynas, Laurindo da Silva, Fabio, Havelka, Jekaterina, Podėnas, Sigitas & Lekoveckaitė, Aistė, 2024, Chironomidae (Diptera) of the Šventoji and Žeimena sub-basins in Lithuania, pp. e 130218 in Biodiversity Data Journal 12 on page e130218, DOI: 10.3897/BDJ.12.e130218
Vortex formation for a non-local interaction model with Newtonian repulsion and superlinear mobility
Creators: name: Carrillo, Jose A.
name: Gómez-Castro, David
name: Vázquez, Juan Luis
Publisher: name: arXiv
Year: 2020
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: We consider density solutions for gradient flow equations of the form $u_t = \nabla \cdot ( γ(u) \nabla \mathrm N(u))$, where $\mathrm N$ is the Newtonian repulsive potential in the whole space $\mathbb R^d$ with the nonlinear convex mobility $γ(u)=u^α$, and $α>1$. We show that solutions corresponding to compactly supported initial data remain compactly supported for all times leading to moving free boundaries as in the linear mobility case $γ(u)=u$. For linear mobility it was shown that there is a special solution in the form of a disk vortex of constant intensity in space $u=c_1t^{-1}$ supported in a ball that spreads in time like $c_2t^{1/d}$, thus showing a discontinuous leading front or shock. Our present results are in sharp contrast with the case of concave mobilities of the form $γ(u)=u^α$, with $0
Myocardial autophagy as a compensatory response to Doxorubicin-induced cardiotoxicity
Creators: name: Dimitrakis, Polychronis
name: Konecny, Filip
name: Zuppinger, Christian
name: Harsdorf, Rüdiger Von
Publisher: name: F1000Research
Year: 2016

description: Doxorubicin (Doxo) is an anthracycline antibiotic commonly used in the treatment of a wide range of cancers. Doxo is known for its cumulative dose-dependent cardiotoxicity leading to dilated cardiomyopathy, congestive heart failure and death. To date the precise molecular events contributing to these adverse reactions are not fully understood. Autophagy is a catabolic process, tightly regulated, involved in the recycling of cytoplasmic components and organelles. It is characterized by sequestration of cytosolic constituents in autophagosomes that fuse with lysosomes to form autolysosomes. Here we test the hypothesis that Doxo-dependent cytotoxic stress induces autophagy in the heart
Rheocricotopus (Rheocricotopus) fuscipes
Creators: name: Stasiukynas, Laurynas
name: Laurindo da Silva, Fabio
name: Havelka, Jekaterina
name: Podėnas, Sigitas
name: Lekoveckaitė, Aistė
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Chironomidae
Rheocricotopus
Rheocricotopus fuscipes

description: Rheocricotopus (Rheocricotopus) fuscipes (Kieffer, 1909)
Notes
Morpho identification. New record for Lithuania.
description: Published as part of Stasiukynas, Laurynas, Laurindo da Silva, Fabio, Havelka, Jekaterina, Podėnas, Sigitas & Lekoveckaitė, Aistė, 2024, Chironomidae (Diptera) of the Šventoji and Žeimena sub-basins in Lithuania, pp. e 130218 in Biodiversity Data Journal 12 on page e130218, DOI: 10.3897/BDJ.12.e130218
Next generation genomic computing
Creators: name: Ceri, Stefano
name: Abdulrahman  Kaitoua
name: Pinoli, Pietro
name: Canakoglu, Arif
name: Masseroli, Marco
Publisher: name: F1000Research
Year: 2016

description: Next-generation sequencing (NGS) technologies and data processing pipelines are rapidly and inexpensively providing increasingly numerous sequencing data and associated (epi)genomic features of many individual genomes in multiple biological and clinical conditions, generally made publicly available within well-curated repositories. Answers to fundamental biomedical problems are hidden in these data; yet, their efficient management and integrative processing is becoming the biggest and most important “big data” problem of mankind. Multi-sample processing of heterogeneous information can support data-driven discoveries and biomolecular sense making, such as discovering how heterogeneous genomic, transcriptomic and epigenomic features cooperate to characterize biomolecular functions; yet, it requires state-of-the-art “big data” computing strategies, with abstractions beyond commonly used tool capabilities.

We recently proposed a new paradigm in NGS data management and processing by introducing an essential Genomic Data Model (GDM) using few general abstractions for genomic region data and associated experimental, biological and clinical metadata that guarantee interoperability between existing data formats. Leveraging on GDM, we developed a next-generation, high-level, declarative GenoMetric Query Language (GMQL) for genomics data; here, we demonstrate its usefulness, flexibility and simplicity of use through several biological query examples. GMQL operates downstream of raw data preprocessing pipelines and supports queries over thousands of heterogeneous samples; computational efficiency and high scalability are achieved by using parallel computing on clusters or public clouds. GDM and GMQL are applicable to federated repositories, and can be exploited to provide integrated access to curated data, made available by large consortia such as ENCODE, Epigenomics Roadmap, or TCGA, through user-friendly search services.
Willingness to receive the COVID-19 vaccine among HIV positive men who have sex with men in China: a cross-sectional study
Creators: name: Liang, Ke
name: Yan, Xumeng
name: Zhou, Yi
name: Shu, Bo
name: Wu, Songjie
name: Han, Zhigang
name: Yang, Fang
name: Tang, Weiming
name: Yang, Zhengrong
name: Xu, Huifang
name: Xu, Yongshi
name: Zhu, Shanhui
name: Yang, Huake
name: Gu, Yuzhou
Publisher: name: Springer Nature
Year: 2023

description:
Background People living with HIV(PLWH) are deemed more vulnerable to the SARS-CoV-2 infection than the uninfected population. Vaccination is an effective measure for COVID-19 control, yet, little knowledge exists about the willingness of men who have sex with men (MSM) living with HIV in China to be vaccinated. Methods This cross-sectional study evaluated the willingness of MSM living with HIV to receive COVID-19 vaccination in six cities of Guangdong, China, from July to September 2020. Factors associated with willingness to receive COVID-19 vaccination using multivariable logistic regression. Results In total, we recruited 944 HIV-positive MSM with a mean age of 29.2 ± 7.7 years. Of all participants, 92.4% of them were willing to receive the COVID-19 vaccine. Participants who were separated, divorced, or widowed (adjusted OR: 5.29, 95%CI: 1.02–27.48), had an annual income higher than 9,000 USD (adjusted OR: 1.70, 95%CI: 1.01–2.86), had ever taken an HIV self-test (adjusted OR: 1.78, 95%CI: 1.07–2.95), had ever disclosed sexual orientation to a doctor/nurse (adjusted OR: 3.16, 95%CI: 1.33–7.50), had ever disclosed sexual orientation to others besides their male partners (adjusted OR: 2.18, 95%CI: 1.29–3.69) were more willing to receive the vaccine. Sex with a female partner in the past six months decreased the likelihood of willingness to receive the vaccine (adjusted OR: 0.40, 95%CI: 0.17–0.95). Economic burden, worry that my health condition could not bear the risk of receiving COVID-19 vaccines, and concern that the vaccination would affect the immune status and antiretroviral therapy were the main reasons for unwillingness to receive vaccination. Conclusion Our study showed that HIV-positive MSM had a high willingness to receive the COVID-19 vaccination. Targeted interventions such as health education should be conducted among MSM with HIV infection to enhance COVID-19 vaccine uptake.
Internal Evaluation Report (Phase 2): Reducing Stigma and Discrimination in Thai Society through Empowerment of Vulnerable Groups, Local Rights Protection Mechanisms, and Legislative Advocacy
Creators: name: Jommaroeng, Rapeepun
Publisher: name: figshare
Year: 2025
Subjects: classificationCode: 420305
subject: Health and community services

description: This internal evaluation report (Phase 2) assesses the progress and effectiveness of a 30-month initiative aimed at reducing stigma and discrimination in Thai society. The project, supported by the Thai Health Promotion Foundation (ThaiHealth), focuses on empowering vulnerable populations, developing model community-based paralegals, establishing local mechanisms to protect human rights, and advocating for a People’s Draft Anti-Discrimination Bill. Covering the period from May 2024 to April 2025, the report evaluates key outputs across three core objectives: (1) strengthening legal literacy and complaint-handling capacity among marginalized communities; (2) building a media advocacy network to promote anti-discrimination awareness; and (3) piloting rights-protection systems at the provincial level for groups affected by HIV, gender identity, and socio-economic exclusion. The report presents achievements, challenges, and recommendations to support policy change and social equity in Thailand.
Randomized, double-blinded, placebo-controlled trial of allogeneic cord blood T-regulatory cells for treatment of COVID-19 ARDS
Creators: name: Gibbs, Kevin W
name: Flowers, Christopher R
name: Schoenfeld, David
name: Mock, Jason R
name: Lyu, Mi-Ae
name: Huang, Meixian
name: Thall, Peter F
name: Abrams, Darryl
name: Mukherjee, Siddhartha
name: Slutsky, Arthur S
name: D'Alessio, Franco
name: Zeng, Ke
name: Howard, Christopher
name: Castillo, Sergio T
name: Parmar, Simrit
name: Gladstone, Douglas E
name: Sadeghi, Tara
name: Herlihy, James P
name: Bassett, Roland
Publisher: name: American Society of Hematology
Year: 2023

description:
Regulatory T cells (Tregs) characterized by cell surface expression of CD4+, CD25+, CD127low, and high expression of intracellular FOXP3+ compromise 1% to 2% of total lymphocytes. Tregs can suppress exuberant immune responses as observed in coronavirus disease 2019 (COVID-19) associated acute respiratory distress syndrome (ARDS), and clear residual inflammatory cells in the lung. Lyu et al demonstrated that multiple injections of allogeneic Treg cells derived from umbilical cord blood (UCB) can decrease CD8+ pathogenic T cells in vivo leading to resolution of pulmonary inflammation. Gladstone et al reported that multiple infusions of allogeneic UCB Tregs at a fixed dose of 100 million cells was associated with clinical improvement which correlated with decrease in inflammatory burden in 2 patients with COVID-19 ARDS who had multiorgan failure requiring vasopressors and hemodialysis.
Multi-objective community-level seismic retrofit optimization for resiliency using engineering and socioeconomic variables
Creators: name: Jennings, Elaina N.
name: Van De Lindt, John W.
name: Peek, Lori
Publisher: name: The University of British Columbia
Year: 2015

description: A seismic loss estimation model is incorporated into a multi-objective community-level optimization for identifying the optimal retrofit plan for the woodframe building stock with the intention of improving a community’s resiliency to earthquakes. The framework of the loss estimation model and multi-objective optimization considers five damage states based on potential morbidity rates, repair costs, relocation costs, and repair times. A community-level case study is conducted for Los Angeles County, California considering a maximum considered earthquake (MCE) seismic hazard using a simplified design space. The framework provides the pareto-optimal set of retrofit solutions for the community allowing for decision makers to apply community preferences in selecting the “optimal” resiliency plan.
Synorthocladius semivirens
Creators: name: Stasiukynas, Laurynas
name: Laurindo da Silva, Fabio
name: Havelka, Jekaterina
name: Podėnas, Sigitas
name: Lekoveckaitė, Aistė
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Chironomidae
Synorthocladius
Synorthocladius semivirens

description: Synorthocladius semivirens (Kieffer, 1909)
Notes
Morpho identification. First record for Lithuania (Grigelis 1999).
description: Published as part of Stasiukynas, Laurynas, Laurindo da Silva, Fabio, Havelka, Jekaterina, Podėnas, Sigitas & Lekoveckaitė, Aistė, 2024, Chironomidae (Diptera) of the Šventoji and Žeimena sub-basins in Lithuania, pp. e 130218 in Biodiversity Data Journal 12 on page e130218, DOI: 10.3897/BDJ.12.e130218
Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction
Creators: name: Van Dam, Peter
name: Bouzid, Zeineb
name: Kraevsky-Phillips, Karina
name: Faramand, Ziad
name: Alrawashdeh, Mohammad O.
name: Zègre-Hemsey, Jessica K.
name: Sejdic, Ervin
name: Al-Zaiti, Salah S.
name: Gregg, Richard E.
name: Akcakaya, Murat
name: Smith, Stephen W.
name: Riek, Nathan T.
name: Helman, Stephanie
name: Birnbaum, Yochai
name: Callaway, Clifton W.
name: Clermont, Gilles
name: Saba, Samir
name: Martin-Gill, Christian
name: Sereika, Susan M.
Publisher: name: Springer Nature
Year: 2023

description:
Patients with occlusion myocardial infarction (OMI) and no ST-elevation on presenting electrocardiogram (ECG) are increasing in numbers. These patients have a poor prognosis and would benefit from immediate reperfusion therapy, but, currently, there are no accurate tools to identify them during initial triage. Here we report, to our knowledge, the first observational cohort study to develop machine learning models for the ECG diagnosis of OMI. Using 7,313 consecutive patients from multiple clinical sites, we derived and externally validated an intelligent model that outperformed practicing clinicians and other widely used commercial interpretation systems, substantially boosting both precision and sensitivity. Our derived OMI risk score provided enhanced rule-in and rule-out accuracy relevant to routine care, and, when combined with the clinical judgment of trained emergency personnel, it helped correctly reclassify one in three patients with chest pain. ECG features driving our models were validated by clinical experts, providing plausible mechanistic links to myocardial injury.
Semantic Clone Detection via Probabilistic Software Modeling
Creators: name: Thaller, Hannes
name: Linsbauer, Lukas
name: Egyed, Alexander
Publisher: name: arXiv
Year: 2020
Subjects: subject: Software Engineering (cs.SE)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Semantic clone detection is the process of finding program elements with similar or equal runtime behavior. For example, detecting the semantic equality between the recursive and iterative implementation of the factorial computation. Semantic clone detection is the de facto technical boundary of clone detectors. In recent years, this boundary has been tested using interesting new approaches. This article contributes a semantic clone detection approach that detects clones that have 0% syntactic similarity. We present Semantic Clone Detection via Probabilistic Software Modeling (SCD-PSM) as a stable and precise solution to semantic clone detection. PSM builds a probabilistic model of a program that is capable of evaluating and generating runtime data. SCD-PSM leverages this model and its model elements for finding behaviorally equal model elements. This behavioral equality is then generalized to semantic equality of the original program elements. It uses the likelihood between model elements as a distance metric. Then, it employs the likelihood ratio significance test to decide whether this distance is significant, given a pre-specified and controllable false-positive rate. The output of SCD-PSM are pairs of program elements (i.e., methods), their distance, and a decision on whether they are clones or not. SCD-PSM yields excellent results with a Matthews Correlation Coefficient greater than 0.9. These results are obtained on classical semantic clone detection problems such as detecting recursive and iterative versions of an algorithm, but also on complex problems used in coding competitions.
description: 22 pages, 3 pages of references, 4 listings, 2 figures, 3 tables
Photonic reservoir computer based on frequency multiplexing
Creators: name: Butschek, Lorenz
name: Akrout, Akram
name: Dimitriadou, Evangelia
name: Lupo, Alessandro
name: Haelterman, Marc
name: Massar, Serge
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optics (physics.optics)
subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Reservoir computing is a brain inspired approach for information processing, well suited to analogue implementations. We report a photonic implementation of a reservoir computer that exploits frequency domain multiplexing to encode neuron states. The system processes 25 comb lines simultaneously (i.e. 25 neurons), at a rate of 20 MHz. We illustrate performances on two standard benchmark tasks: channel equalization and time series forecasting. We also demonstrate that frequency multiplexing allows output weights to be implemented in the optical domain, through optical attenuation. We discuss the perspectives for high speed high performance low footprint implementations.
description: 19 pages. Published version, including supplementary material
title: On the Solution of Nonlinear Optimization Problems of High Dimension
Creators: name: Vaarmann, Otu
Publisher: name: Bauhaus-Universität Weimar
Year: 2003
Subjects: subject: Nichtlineare Optimierung
subject: 620

description: A lot of real-life problems lead frequently to the solution of a complicated (large scale, multicriteria, unstable, nonsmooth etc.) nonlinear optimization problem. In order to cope with large scale problems and to develop many optimum plans a hiearchical approach to problem solving may be useful. The idea of hierarchical decision making is to reduce the overall complex problem into smaller and simpler approximate problems (subproblems) which may thereupon treated independently. One way to break a problem into smaller subproblems is the use of decomposition-coordination schemes. For finding proper values for coordination parameters in convex programming some rapidly convergent iterative methods are developed, their convergence properties and computational aspects are examined. Problems of their global implementation and polyalgorithmic approach are discussed as well.
description: Internationales Kolloquium über Anwendungen der Informatik und Mathematik in Architektur und Bauwesen : 10. bis 12.06.2003, Bauhaus-Universität Weimar, vol. 16, 2003
Polynomial chaos expansions for damped oscillators
Creators: name: Mai, Chu V.
name: Sudret, Bruno
Publisher: name: The University of British Columbia
Year: 2015

description: Uncertainty quantification is the state-of-the-art framework dealing with uncertainties arising in all kind of real-life problems. One of the framework’s functions is to propagate uncertainties from the stochastic input factors to the output quantities of interest, hence the name uncertainty propagation. To this end, polynomial chaos expansions (PCE) have been effectively used in a wide variety of practical problems. However, great challenges are hindering the use of PCE for time-dependent problems. More precisely, the accuracy of PCE tends to decrease in time. In this paper, we develop an approach based on a stochastic time-transform, which allows one to apply low-order PCE to complex time-dependent problems.
title: Surface design based upon a combined mesh
Creators: name: Vasilkov, Dmitry M.
Publisher: name: Bauhaus-Universität Weimar
Year: 2003
Subjects: subject: Oberfläche
subject: Modellierung
subject: Dreieck
subject: Viereck
subject: 620

description: The subject of this talk is the problem of surface design based upon a mesh that may contain both triangular and quadrangular domains. We investigate the cases when such a combined mesh occurs more preferable for bivariate data interpolation than a pure triangulation. First we describe a modification of the well-known flipping algorithm that constructs a locally optimal combined mesh with a predefined quality criterion. Then we introduce two quality measures for triangular and quadrangular domains and present the results of a computational experiment that compares integral interpolation errors and errors in gradients caused by the piecewise surface models produced by the flipping algorithm with the introduced quality measures. The experiment shows that triangular meshes with the Delaunay quality measure provide better interpolation accuracy only if the interpolated function is strictly convex, as well as a saddle-shaped function is better interpolated by bilinear patches within a combined mesh. For a randomly shaped function combined meshes demonstrate smaller error values and better stability in compare with pure triangulations. At the end we consider other resources for mesh improvement, such as excluding >bad< points from the input set for the mesh generating procedure. Because the function values at these points should not be lost, some linear or bilinear patches are replaced by nonlinear patches that pass through the excluded points.
description: Internationales Kolloquium über Anwendungen der Informatik und Mathematik in Architektur und Bauwesen : 10. bis 12.06.2003, Bauhaus-Universität Weimar, vol. 16, 2003
Chironomus (Chironomus) acidophilus Keyl 1960
Creators: name: Stasiukynas, Laurynas
name: Laurindo da Silva, Fabio
name: Havelka, Jekaterina
name: Podėnas, Sigitas
name: Lekoveckaitė, Aistė
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Chironomidae
Chironomus
Chironomus acidophilus

description: Chironomus (Chironomus) acidophilus Keyl, 1960
Notes
Morpho-molecular identification (GenBank ID: PQ 458075). New record for Lithuania.
description: Published as part of Stasiukynas, Laurynas, Laurindo da Silva, Fabio, Havelka, Jekaterina, Podėnas, Sigitas & Lekoveckaitė, Aistė, 2024, Chironomidae (Diptera) of the Šventoji and Žeimena sub-basins in Lithuania, pp. e 130218 in Biodiversity Data Journal 12 on page e130218, DOI: 10.3897/BDJ.12.e130218
Green-light Cerium Photocatalysis enabled by Pyridine N-oxide Ligands
Creators: name: Müller, Nicolas
name: Stahl, Jessica
name: Stoiber, Julia
name: König, Burkhard
Publisher: name: Universität Regensburg
Year: 2025
Subjects: subject: photocatalysis • cerium • N-oxides • radicals • LMCT
subject: 540 Chemie

description: We report pyridine N-oxides as neutral ligands in cerium photocatalysis. By using those neutral ligands, photoactive Ce(IV)-species are generated, that show an extensive bathochromic shift compared to previously employed cerium-based complexes. This allows the effective utilization of green light in the redox-neutral CH-hydrazination of small molecules under very mild photocatalytic conditions.
Multi‐institutional experience with COVID‐19 convalescent plasma in children
Creators: name: Ardura, Monica I.
name: Loi, Michele
name: Willis, Zachary
name: Gordon, Oren
name: Noland, Daniel
name: Arrieta, Antonio
name: Zivick, Elise
name: Donowitz, Jeffrey R.
name: Levy, Emily
name: Annen, Kyle
name: Drapeau, Noelle
name: Delaney, Meghan
name: Jacquot, Cyril
name: Osborne, Stephanie
name: Arora, Satyam
name: Rimland, Casey
name: Jain, Sanjay
Publisher: name: Wiley
Year: 2023

description:
BACKGROUND AND OBJECTIVES: Convalescent COVID-19 plasma (CCP) was developed and used worldwide as a treatment option by supplying passive immunity. Adult studies suggest administering high-titer CCP early in the disease course of patients who are expected to be antibody-negative; however, pediatric experience is limited. We created a multi-institutional registry to characterize pediatric patients (<18 years) who received CCP and to assess the safety of this intervention. METHODS: A REDCap survey was distributed. The registry collected de-identified data including demographic information (age, gender, and underlying conditions), COVID-19 disease features and concurrent treatments, CCP transfusion and safety events, and therapy response. RESULTS: Ninety-five children received CCP: 90 inpatients and 5 outpatients, with a median age of 10.2 years (range 0-17.9). They were predominantly Latino/Hispanic and White. The most frequent underlying medical conditions were chronic respiratory disease, immunosuppression, obesity, and genetic syndromes. CCP was primarily given as a treatment (95%) rather than prophylaxis (5%). Median total plasma dose administered and transfusion rates were 5.0 ml/kg and 2.6 ml/kg/h, respectively. The transfusions were well-tolerated, with 3 in 115 transfusions reporting mild reactions. No serious adverse events were reported. Severity scores decreased significantly 7 days after CCP transfusion or at discharge. Eighty-five patients (94.4%) survived to hospital discharge. All five outpatients survived to 60 days. CONCLUSIONS: CCP was found to be safe and well-tolerated in children. CCP was frequently given concurrently with other COVID-19-directed treatments with improvement in clinical severity scores ≥7 days after CCP, but efficacy could not be evaluated in this study.
Cloud-gaming:Analysis of Google Stadia traffic
Creators: name: Carrascosa, Marc
name: Bellalta, Boris
Publisher: name: arXiv
Year: 2020
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Interactive, real-time, and high-quality cloud video games pose a serious challenge to the Internet due to simultaneous high-throughput and low round trip delay requirements. In this paper, we investigate the traffic characteristics of Stadia, the cloud-gaming solution from Google, which is likely to become one of the dominant players in the gaming sector. To do that, we design several experiments, and perform an extensive traffic measurement campaign to obtain all required data. Our first goal is to gather a deep understanding of Stadia traffic characteristics by identifying the different protocols involved for both signalling and video/audio contents, the traffic generation patterns, and the packet size and inter-packet time probability distributions. Then, our second goal is to understand how different Stadia games and configurations, such as the video codec and the video resolution selected, impact on the characteristics of the generated traffic. We also evaluate the ability of Stadia to adapt to different link capacity conditions, including cases where the capacity drops suddenly, as well as sudden increases in the network latency. Our results and findings, besides illustrating the characteristics of Stadia traffic, are also valuable for planning and dimensioning future networks, as well as for designing new resource management strategies. Finally, we compare Stadia traffic to other video streaming applications, showcasing the main differences between them, and introduce a traffic model using our captures. We show that this model can be used in simulations to further investigate the network performance in presence of Stadia traffic.
Parameter study on optimal sampling planning based on value of information
Creators: name: Yoshida, Ikumasa
Publisher: name: The University of British Columbia
Year: 2015

description: A Method for determining optimal observation placement in Gaussian random field is formulated based on Value of Information (VoI). The proposed method can reflect not only uncertainty but also the consequence of false decision-making. Optimal number of observation is also evaluated based on total cost which is sum of observation cost and VoI. The usefulness of the method is demonstrated through two kinds of numerical examples which are optimal placement with or without existing observation. Parameter study is performed with respect to autocorrelation distance assumed in the Gaussian field.
COVID‐19 antibody positivity over time and pregnancy outcomes in seven low‐and‐middle‐income countries: A prospective, observational study of the Global Network for Women's and Children's Health Research
Creators: name: Billah, Sk Masum
name: Hossain, Biplob
name: Kim, Jean
name: Ghanchi, Najia Karim
name: Haque, Rashidul
name: Bauserman, Melissa
name: Derman, Richard J.
name: Edidi, Samuel
name: Carlo, Waldemar A.
name: McClure, Elizabeth M.
name: Koso‐Thomas, Marion
name: Hibberd, Patricia L.
name: Siraj, Shahjahan
name: Mazariegos, Manolo
name: Nolen, Tracy L.
name: Das, Prabir
name: Moore, Janet L.
name: Bose, Carl L.
name: Krebs, Nancy F.
name: Figueroa, Lester
name: Ayala, Alejandra
name: Lokangaka, Adrien
name: Tshefu, Antoinette
name: Deshmukh, Madhavi
name: Patel, Archana
name: Somannavar, Manjunath
name: Esamai, Fabian
name: Mwenechanya, Musaku
name: Chomba, Elwyn
name: Garces, Ana L.
name: Peres‐da‐Silva, Nalini
name: Goudar, Shivaprasad S.
name: Emonyi, Wilfred Injera
name: Goldenberg, Robert L.
name: Saleem, Sarah
name: Petri, William A.
name: Liechty, Edward A.
name: Kavi, Avinash
Publisher: name: Wiley
Year: 2023

description:
OBJECTIVES: To determine COVID-19 antibody positivity rates over time and relationships to pregnancy outcomes in low- and middle-income countries (LMICs). DESIGN: With COVID-19 antibody positivity at delivery as the exposure, we performed a prospective, observational cohort study in seven LMICs during the early COVID-19 pandemic. SETTING: The study was conducted among women in the Global Network for Women's and Children's Health's Maternal and Newborn Health Registry (MNHR), a prospective, population-based study in Kenya, Zambia, the Democratic Republic of the Congo (DRC), Bangladesh, Pakistan, India (two sites), and Guatemala. POPULATION: Pregnant women enrolled in an ongoing pregnancy registry at study sites. METHODS: From October 2020 to October 2021, standardised COVID-19 antibody testing was performed at delivery among women enrolled in MNHR. Trained staff masked to COVID-19 status obtained pregnancy outcomes, which were then compared with COVID-19 antibody results. MAIN OUTCOME MEASURES: Antibody status, stillbirth, neonatal mortality, maternal mortality and morbidity. RESULTS: At delivery, 26.0% of women were COVID-19 antibody positive. Positivity increased over the four time periods across all sites: 13.8%, 15.4%, 21.0% and 40.9%. In the final period, positivity rates were: DRC 27.0%, Kenya 33.1%, Pakistan 32.8%, Guatemala 37.0%, Zambia 37.8%, Bangladesh 47.2%, Nagpur, India 57.4% and Belagavi, India 62.4%. Adjusting for site and maternal characteristics, stillbirth, neonatal mortality, low birthweight and preterm birth were not significantly associated with COVID-19. The adjusted relative risk (aRR) for stillbirth was 1.27 (95% CI 0.95-1.69). Postpartum haemorrhage was associated with antibody positivity (aRR 1.44; 95% CI 1.01-2.07). CONCLUSIONS: In pregnant populations in LMICs, COVID-19 antibody positivity has increased. However, most adverse pregnancy outcomes were not significantly associated with antibody positivity.
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM
Creators: name: Cascarano, Pasquale
name: Sebastiani, Andrea
name: Comes, Maria Colomba
name: Franchini, Giorgia
name: Porta, Federica
Publisher: name: arXiv
Year: 2020
Subjects: subject: Image and Video Processing (eess.IV)
subject: Numerical Analysis (math.NA)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Mathematics
subject: G.1.6; G.1.10; I.4.3; I.4.4; I.4.5; I.4.6; I.2.6; I.2.0; I.4.3
subject: 65F22, 65K10

description: In the last decades, unsupervised deep learning based methods have caught researchers attention, since in many real applications, such as medical imaging, collecting a great amount of training examples is not always feasible. Moreover, the construction of a good training set is time consuming and hard because the selected data have to be enough representative for the task. In this paper, we focus on the Deep Image Prior (DIP) framework and we propose to combine it with a space-variant Total Variation regularizer with an automatic estimation of the local regularization parameters. Differently from other existing approaches, we solve the arising minimization problem via the flexible Alternating Direction Method of Multipliers (ADMM). Furthermore, we provide a specific implementation also for the standard isotropic Total Variation. The promising performances of the proposed approach, in terms of PSNR and SSIM values, are addressed through several experiments on simulated as well as real natural and medical corrupted images.
description: conference paper
Applications to A1-enumerative geometry of the A1-degree
Creators: name: Pauli, Sabrina
name: Wickelgren, Kirsten
Publisher: name: arXiv
Year: 2020
Subjects: subject: Algebraic Geometry (math.AG)
subject: Algebraic Topology (math.AT)
subject: FOS: Mathematics
subject: Primary 14N15, Secondary 14F42, 14G27

description: These are lecture notes from the conference Arithmetic Topology at the Pacific Institute of Mathematical Sciences on applications of Morel's A1-degree to questions in enumerative geometry. Additionally, we give a new dynamic interpretation of the A1-Milnor number inspired by the first named author's enrichment of dynamic intersection numbers.
description: 26 pages
title: Stability of an optimal schedule for a flow-shop problem with two jobs
Creators: name: Sotskov, Yuri N.
Publisher: name: Bauhaus-Universität Weimar
Year: 2003
Subjects: subject: Ablaufplanung
subject: Reihenfolgeproblem
subject: 620

description: The problem F|n=2|F is to minimize the given objective function F(C1,m, C2,m) of completion times Ci,m of two jobs i Î J={1, 2} processed on m machines M={1, 2, …, m}. Both jobs have the same technological route through m machines. Processing time ti,k of job iÎ J on machine kÎ M is known. Operation preemptions are not allowed. Let R2m be space of non-negative 2m-dimensional real vectors t=(t1,1,…, t1,m, t2,1,…, t2,m) with Chebyshev’s distance d(t, t*). To solve problem F|n=2|F, we can use the geometric algorithm, which includes the following steps: 1) construct digraph (V, A) for problem F|n=2|F and find so-called border vertices in (V, A); 2) construct the set of trajectories corresponding to the shortest paths Rt in digraph (V, A) from the origin vertex to each of the border vertices; 3) find an optimal path in the set Rt that represents a schedule with minimal value of the objective function F. Let path tu Î Rt be optimal for the problem F|n=2|F with operation processing times defined by vector t. If for any small positive real number e > 0 there exists vector t*Î R2m such that d(t, t*) = e and path tu is not optimal for the problem F|n=2|F with operation processing times defined by vector t*, then optimality of path tu is not stable. The main result of the paper is the proof of necessary and sufficient conditions for optimality stability of path tu. If objective function F is continuous non-decreasing (e.g., makespan, total completion time, maximal lateness or total tardiness), then to test whether optimality of the path tu Î Rt is stable takes O(m log m) time.
description: Internationales Kolloquium über Anwendungen der Informatik und Mathematik in Architektur und Bauwesen : 10. bis 12.06.2003, Bauhaus-Universität Weimar, vol. 16, 2003
Pulmonary emphysema subtypes defined by unsupervised machine learning on CT scans
Creators: name: Bowler, Russell
name: Martinez, Fernando J
name: Couper, David
name: Dransfield, Mark T
name: Prince, Martin R
name: Angelini, Elsa D
name: Swift, Andrew J
name: Yang, Jie
name: Kim, John Shinn
name: Shen, Wei
name: Oelsner, Elizabeth C
name: Lima, Joao
name: Manichaikul, Ani W
name: Cho, Michael H
name: Sun, Yifei
name: Hansel, Nadia N
name: Lappalainen, Tuuli
name: Watson, Karol E
name: Silverman, Edwin K
name: Garcia, Christine Kim
name: Paine, Robert
name: Jacobs, David R
name: Han, MeiLan K
name: Laine, Andrew F
name: Rich, Stephen S
name: Woodruff, Prescott G
name: Smith, Benjamin M
name: Bleecker, Eugene R
name: Kasela, Silva
name: Austin, John H M
name: Ortega, Victor E
name: Balte, Pallavi P
name: Post, Wendy
name: Hoffman, Eric A
name: Allen, Norrina B
name: Barr, R Graham
name: Malinsky, Daniel
name: Cooper, Christopher S
name: Pottinger, Tess D
name: Hughes, Emlyn
name: Kaufman, Joel Daniel
Publisher: name: BMJ
Year: 2023

description:
BACKGROUND: Treatment and preventative advances for chronic obstructive pulmonary disease (COPD) have been slow due, in part, to limited subphenotypes. We tested if unsupervised machine learning on CT images would discover CT emphysema subtypes with distinct characteristics, prognoses and genetic associations. METHODS: New CT emphysema subtypes were identified by unsupervised machine learning on only the texture and location of emphysematous regions on CT scans from 2853 participants in the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS), a COPD case-control study, followed by data reduction. Subtypes were compared with symptoms and physiology among 2949 participants in the population-based Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study and with prognosis among 6658 MESA participants. Associations with genome-wide single-nucleotide-polymorphisms were examined. RESULTS: The algorithm discovered six reproducible (interlearner intraclass correlation coefficient, 0.91-1.00) CT emphysema subtypes. The most common subtype in SPIROMICS, the combined bronchitis-apical subtype, was associated with chronic bronchitis, accelerated lung function decline, hospitalisations, deaths, incident airflow limitation and a gene variant near DRD1, which is implicated in mucin hypersecretion (p=1.1 ×10-8). The second, the diffuse subtype was associated with lower weight, respiratory hospitalisations and deaths, and incident airflow limitation. The third was associated with age only. The fourth and fifth visually resembled combined pulmonary fibrosis emphysema and had distinct symptoms, physiology, prognosis and genetic associations. The sixth visually resembled vanishing lung syndrome. CONCLUSION: Large-scale unsupervised machine learning on CT scans defined six reproducible, familiar CT emphysema subtypes that suggest paths to specific diagnosis and personalised therapies in COPD and pre-COPD.
Chironomus (Chironomus) cingulatus Meigen 1830
Creators: name: Stasiukynas, Laurynas
name: Laurindo da Silva, Fabio
name: Havelka, Jekaterina
name: Podėnas, Sigitas
name: Lekoveckaitė, Aistė
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Chironomidae
Chironomus
Chironomus cingulatus

description: Chironomus (Chironomus) cingulatus Meigen, 1830
Notes
Morpho-molecular identification (GenBank ID: PQ 458076; PQ 458077; PQ 458078; PQ 458079). New record for Lithuania.
description: Published as part of Stasiukynas, Laurynas, Laurindo da Silva, Fabio, Havelka, Jekaterina, Podėnas, Sigitas & Lekoveckaitė, Aistė, 2024, Chironomidae (Diptera) of the Šventoji and Žeimena sub-basins in Lithuania, pp. e 130218 in Biodiversity Data Journal 12 on page e130218, DOI: 10.3897/BDJ.12.e130218
PAC$^m$-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime
Creators: name: Morningstar, Warren R.
name: Alemi, Alexander A.
name: Dillon, Joshua V.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: The Bayesian posterior minimizes the "inferential risk" which itself bounds the "predictive risk". This bound is tight when the likelihood and prior are well-specified. However since misspecification induces a gap, the Bayesian posterior predictive distribution may have poor generalization performance. This work develops a multi-sample loss (PAC$^m$) which can close the gap by spanning a trade-off between the two risks. The loss is computationally favorable and offers PAC generalization guarantees. Empirical study demonstrates improvement to the predictive distribution.
description: Accepted at AISTATS2022
Chironomus (Chironomus) curabilis Belyanina, Sigareva and Loginova 1990
Creators: name: Stasiukynas, Laurynas
name: Laurindo da Silva, Fabio
name: Havelka, Jekaterina
name: Podėnas, Sigitas
name: Lekoveckaitė, Aistė
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Chironomidae
Chironomus
Chironomus curabilis

description: Chironomus (Chironomus) curabilis Belyanina, Sigareva and Loginova, 1990
Notes
Morpho-molecular identification (GenBank ID: PQ 458080; PQ 458081). New record for Lithuania.
description: Published as part of Stasiukynas, Laurynas, Laurindo da Silva, Fabio, Havelka, Jekaterina, Podėnas, Sigitas & Lekoveckaitė, Aistė, 2024, Chironomidae (Diptera) of the Šventoji and Žeimena sub-basins in Lithuania, pp. e 130218 in Biodiversity Data Journal 12 on page e130218, DOI: 10.3897/BDJ.12.e130218
Quantifying and accounting for aftershock hazard in performance-based earthquake engineering
Creators: name: Van De Lindt, John W.
name: Nazari, Negar
name: Li, Yue
Publisher: name: The University of British Columbia
Year: 2015

description: After a mainshock, the threat to occupant life safety and risk of excessive building damage can be considerably higher than before the occurrence of the mainshock, because of building damage sustained in the mainshock, uncertainty in the time of occurrence, magnitude and location of a potential aftershock. Aftershocks around the world have been observed to collapse damaged buildings. Nevertheless, most of current seismic risk assessment tools only consider mainshock effects without taking into account aftershocks. In this paper a procedure is introduced to investigate and quantify the effect of aftershock hazard on the performance-based design of a four-story woodframe building.
Chironomus (Chironomus) melanescens Keyl 1961
Creators: name: Stasiukynas, Laurynas
name: Laurindo da Silva, Fabio
name: Havelka, Jekaterina
name: Podėnas, Sigitas
name: Lekoveckaitė, Aistė
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Chironomidae
Chironomus
Chironomus melanescens

description: Chironomus (Chironomus) melanescens Keyl, 1961
Notes
Morpho-molecular identification (GenBank ID: PQ 458082). New record for Lithuania.
description: Published as part of Stasiukynas, Laurynas, Laurindo da Silva, Fabio, Havelka, Jekaterina, Podėnas, Sigitas & Lekoveckaitė, Aistė, 2024, Chironomidae (Diptera) of the Šventoji and Žeimena sub-basins in Lithuania, pp. e 130218 in Biodiversity Data Journal 12 on page e130218, DOI: 10.3897/BDJ.12.e130218
On graviton propagation in curved space-time background
Creators: name: Arbuzova, E. V.
name: Dolgov, A. D.
name: Panasenko, L. A.
Publisher: name: arXiv
Year: 2020
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences
subject: 83C35 (Primary), 83F05 (Secondary)

description: Equation describing propagation of gravitational waves (GW) over arbitrary curved space-time background is analyzed. New terms, which are absent in the conventional homogeneous and isotropic Friedmann cosmology, are found. Some examples of realistic metric, where these new terms manifest themselves, are presented. Possible implications to very low frequency GW are briefly discussed.
description: 16 pages
title: Application of Qualitative Methods to Research of Polyharmonic Oscillations
Creators: name: Volkova, Viktorija
name: Kazakevitch, M. I.
Publisher: name: Bauhaus-Universität Weimar
Year: 2003
Subjects: subject: Dynamik
subject: Schwingung
subject: Polyharmonische Funktion
subject: 620

description: The development of the qualitative methods of investigation of dynamic systems, suggested by the authors, is the effective means for identification of dynamic systems. The results of the extensive investigations of the behaviour of linear dynamic systems and symmetrical system with double well potential under polyharmonic excitation are given in the paper. Phase space of dynamic systems is multi-dimensional. Each point of this space is characterized by not less than four co-ordinates. In particular: displacement, velocity, acceleration and time. Real space has three dimensions. It is more convenient for the analysis. We consider the phase space as limited to three dimensions, namely displacement, velocity and acceleration. Another choice of parameters of phase planes is also possible [1, 2]. Phase trajectory on a plane is of the greatest interest. It is known that accelerations of points are more sensitive to deviations of oscillations from harmonic ones. It is connected with the fact that power criteria on it are interpreted most evidently. Besides, dependence is back symmetric relative to axis of the diagram of elastic characteristic. Only the phase trajectories allow establishing a type and a level of non-linearity of a system. The results of the extensive investigations of the dynamic systems behaviour under polyharmonic excitation are given in the paper. The use of the given phase trajectories enables us to determine with a high degree of reliability the following peculiarities: - presence or absence of non-linear character of behaviour of a dynamic system; - type of non-linearity; - type of dynamic process (oscillations of the basic tone, combinative oscillations, chaotic oscillations.). Unlike existing asymptotic and stochastic methods of identification of dynamic systems, the use of the suggested technique is not connected with the use of a significant amount of computing procedures, and also it has a number of advantages at the investigation of complicated oscillations.
description: Internationales Kolloquium über Anwendungen der Informatik und Mathematik in Architektur und Bauwesen : 10. bis 12.06.2003, Bauhaus-Universität Weimar, vol. 16, 2003