cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Learning Parameters for Balanced Index Influence Maximization
Creators: name: Ma, Manqing
name: Korniss, Gyorgy
name: Szymanski, Boleslaw K.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences

description: Influence maximization is the task of finding the smallest set of nodes whose activation in a social network can trigger an activation cascade that reaches the targeted network coverage, where threshold rules determine the outcome of influence. This problem is NP-hard and it has generated a significant amount of recent research on finding efficient heuristics. We focus on a {\it Balance Index} algorithm that relies on three parameters to tune its performance to the given network structure. We propose using a supervised machine-learning approach for such tuning. We select the most influential graph features for the parameter tuning. Then, using random-walk-based graph-sampling, we create small snapshots from the given synthetic and large-scale real-world networks. Using exhaustive search, we find for these snapshots the high accuracy values of BI parameters to use as a ground truth. Then, we train our machine-learning model on the snapshots and apply this model to the real-word network to find the best BI parameters. We apply these parameters to the sampled real-world network to measure the quality of the sets of initiators found this way. We use various real-world networks to validate our approach against other heuristic.
Franz, Ansgar; Kurzke, Hermnann; Schäfer, Christiane (Hrsg.): Die Lieder des Goteslob
Creators: name: Ihsen, Florian
Publisher: name: Ökumenische Rundschau
Year: 2025

description: Ökumenische Rundschau, Bd. 69 Nr. 2 (2020): Ökumenische Rundschau, Band 69, Heft 2
Protocol for amino acid refinement through computational evolution
Creators: name: Ochoa, Rodrigo
name: Soler, Miguel A
name: Alesssandro Laio
name: Cossio, Pilar
Publisher: name: F1000 Research Limited
Year: 2021

description: The in silico design of peptides and proteins as binders is useful for diagnosis and therapeutics due to their low adverse effects and major specificity. To select the most promising candidates, a key matter is to understand their interactions with protein targets. Here we present PARCE, an open source Protocol for Amino acid Refinement through Computational Evolution that implements an advanced and promising method for the design of peptides and proteins. The protocol performs a random mutation in the binder sequence, then samples the bound conformations using molecular dynamics simulations, and evaluates the protein-protein interactions from multiple scoring. Finally, it accepts or rejects the mutation by applying a consensus criterion based on binding scores. The procedure is iterated with the aim to explore efficiently novel sequences with potential better affinities toward their targets. The protocol can be applied with any protein of interest to design bound peptides or proteins of biological interest. We provide a tutorial for running and reproducing the methodology.
An evolutionary perspective of Intronless Genes highlight their recent highly specialized role
Creators: name: Avina, Katia
name: Rafael, Jose Antonio Ramirez
name: Valdivia, Dulce I.
name: Garcia, Andres Garcia
name: Herrera-Oropeza, Gabriel Emilio
name: Echavarria, Alfredo Varela
name: Rosales, Maribel Hernandez
Publisher: name: F1000 Research Limited
Year: 2021

description: Short Abstract: Eukaryotic genes without introns in their coding sequence are known as "single-exon genes" (SEGs), in contrast to "multiple exon genes'' (MEGs). Intronless genes (IGs), are a subgroup of SEGs additionally characterized by the lack of introns in their UTRs. IGs are inherently involved in development, growth, and cell proliferation. Because of their prokaryotic architecture, IGs in eukaryotic genomes, provide interesting datasets for computational analysis in comparative genomics and evolutionary trajectories. Comparative analysis of their sequences among genomes can help to identify the unique and conserved features in these genes, and hence provide insight into intron's role in gene evolution and a better understanding of genome architecture and arrangement. Several diseases such as Williams Beuren syndrome, myoclonus epilepsy, neuroblastoma, Alzheimer and cancer have been linked to proteins encoded by IGs. This work aimed to determine the evolutionary history of IGs encoding proteins in the mouse (Mus musculus) genome. Mouse IGs and MEGs datasets were obtained from the Ensembl database according to their exon and transcript count. We predicted 1116 protein-coding IGs from the Mouse genome. Mouse peptide sequences were submitted to ProteinOrtho that allowed the inference of gene orthologs relationships in 10 genomes, including Homo sapiens. From ProteinOrtho’s predictions, orthology graphs were constructed, and an in-house developed method called Best Match Graph Modular Decomposition (BMGMD) was used. This method performs a modular decomposition of the orthology graphs and infers the gene trees that are consistent with the species phylogeny. Furthermore, each internal node of these trees represents a duplication or speciation event. Subsequently, the gene trees are reconciled with the species tree to determine in which branch of the species tree events occur and, at the same time, infer gene losses. This method also allows us to estimate how ancestral a gene family is and to identify species-specific genes. Further, we selected those orthologs that were conserved as IGs in other genomes. Protein orthologs among 10 genomes confirmed a high conservancy of IGs associated with the regulation of neurobiological processes in Vertebrata and with chromatin condensation in more distant organisms. Overall, our results support the hypothesis that IGs are “recent” highly specialized genes that are transcribed skipping splicing events entailing a higher transcriptional fidelity and saving cell energy waste during essential/housekeeping pathways.
Influence of Heavy Quark Recombination on the Nucleon Strangeness Asymmetry
Creators: name: Gao, Puze
name: Ma, Bo-Qiang
Publisher: name: arXiv
Year: 2008
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The nucleon strange and anti-strange distribution asymmetry is an important issue in the study of the nucleon structure. In this work, we show that the heavy quark recombination processes from a perturbative QCD picture can give a sizable influence on the measurement of the nucleon strangeness asymmetry from charged-current charm production processes, such as the CCFR and NuTeV dimuon measurements. When the influence of heavy quark recombination is considered, a positive effective $δS^-_{\mathrm{HR}}$ should be added to the initially extracted strangeness asymmetry $S^-\equiv\int dx[s(x)-\bar s(x)]x$, supporting the strangeness asymmetry $S^-$ being positive, which is helpful to explain the NuTeV anomaly within the framework of the standard model.
description: 5 latex pages, 2 figures
Neuro-networks: investigating the neurological impairment of mucopolysaccharidoses using a systems biology approach
Creators: name: Silva, Gerda Cristal Villalba
name: Matte, Ursula
Publisher: name: F1000 Research Limited
Year: 2021

description: Presented at WorldSymposia 2021
 Mucopolysaccharidoses (MPS) are lysosomal diseases characterized by defects in the activity of lysosomal hydrolases involved in glycosaminoglycan degradation, with progressive multisystemic involvement. Neurological damage is present in MPS I; MPS II; MPS IIIB, and MPS VII. Using biological networks for searching for genes with functional relevance give us clues about pathophysiological mechanisms of neurological diseases. The aims of this work was to identify potential biomarkers for neurological impairment in different types of MPS using public available transcriptomic data. The most relevant proteins in the networks and ontology terms related to neurological damage in MPS were identified and compared among diseases. We performed the clustering analysis for GSE111906 (MPSI), GSE95224 (MPSII), GSE23075 (MPSIIIB), GSE15758 (MPSIIIB), and GSE76283 (MPSVII). Regarding biomarker discovery analysis, the top 10 genes were ranked according to the maximal clique centrality. Different ontologies were present in the different types of MPS. For instance, for MPS I, the related ontologies were clathrin derived vesicle budding and clathrin-mediated endocytosis. MPS II top genes were related to brain renin-angiotensin system. MPS IIIB top genes comprises the ontologies acetylation and chromatin regulation. The MPS IIIB top 10 genes were related to the activation of the mRNA cap-binding complex. Finally, MPS VII top genes were present in the ontologies C-MYB transcription factor network. Moreover, we identified several immune system processes like adaptive and innate immune systems, Class I MHC mediated antigen processing and presentation; and activated TLR4 signaling across the different MPS types. Other ontologies were also present in all the MPS types, like axon guidance, Calcium signaling, PI3K-Akt signaling pathway, and Wnt signaling pathway. We hypothesize that these pathways are deranged because glycosaminoglycans play an essential role in the extracellular matrix composition, helping to regulate several processes. System biology approaches may help to understand the mechanisms of neuropathology in the different types of mucopolysaccharidoses.
Science policy memo writing principles
Creators: name: Bankston, Adriana
Publisher: name: F1000 Research Limited
Year: 2021

description: This talk was given to The Science Policy Outreach Task Force (SPOT) group at Northwestern University on March 1, 2021, as part of a talk series on "Science Policy Communication in the Age of COVID-19." It covered basics of communicating with non-scientific audiences and memo writing principles.
Interpreting resonance energy transfer experiments with monte-carlo and molecular dynamic simulations
Creators: name: Walczewska-Szewc, Katarzyna
Publisher: name: The Australian National University
Year: 2018

description: Forster resonance energy transfer (FRET) is a photophysical process in which an electronically excited chromophore spontaneously transfers energy to another molecule by a non-radiative dipole-dipole interaction. While this occurs naturally in processes such as light harvesting in photosynthetic organisms, it is now commonly used as a tool in molecular biophysics to examine the proximity and structure of biological macromolecules and to report on biochemical events. One of the features making FRET so widely used is the strong dependence of transfer on the distance between the participating molecules. Due to this, it has been termed a {u0300}spectroscopic ruler' enabling the measurement of intermolecular distances and conformations of proteins and nucleic acids. Although the utility of this method is now well appreciated, many difficulties arise in interpreting FRET experiments to gain detailed quantitative information.One complication is that the chance of transfer taking place is dependent on the orientation of the participating molecules, something that is difficult (if not impossible) to measure. Another difficulty comes from the fact that the commonly used fluorescent dyes are characterised by high conformational flexibility, which allows them to sample substantial space around the point of attachment introducing further uncertainty to the distance measurements. Moreover, the range of possible application of FRET as a spectroscopic ruler is limited to 10 nm, whereas many of biological events that could potentially be signalled by FRET occur on larger distances. In my work, I aim to use computational techniques to address these difficulties, by developing tools that can be used to better interpret the results of FRET experiments and to contribute to the design of new experiments employing FRET.
ALMA Observations of Massive Clouds in the Central Molecular Zone: Ubiquitous Protostellar Outflows
Creators: name: Lu, Xing
name: Li, Shanghuo
name: Ginsburg, Adam
name: Longmore, Steven N.
name: Kruijssen, J. M. Diederik
name: Walker, Daniel L.
name: Feng, Siyi
name: Zhang, Qizhou
name: Battersby, Cara
name: Pillai, Thushara
name: Mills, Elisabeth A. C.
name: Kauffmann, Jens
name: Cheng, Yu
name: Inutsuka, Shu-ichiro
Publisher: name: arXiv
Year: 2021
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We observe 1.3~mm spectral lines at 2000~AU resolution toward four massive molecular clouds in the Central Molecular Zone of the Galaxy to investigate their star formation activities. We focus on several potential shock tracers that are usually abundant in protostellar outflows, including SiO, SO, CH$_3$OH, H$_2$CO, HC$_3$N, and HNCO. We identify 43 protostellar outflows, including 37 highly likely ones and 6 candidates. The outflows are found toward both known high-mass star forming cores and less massive, seemingly quiescent cores, while 791 out of the 834 cores identified based on the continuum do not have detected outflows. The outflow masses range from less than 1~$M_\odot$ to a few tens of $M_\odot$, with typical uncertainties of a factor of 70. We do not find evidence of disagreement between relative molecular abundances in these outflows and in nearby analogs such as the well-studied L1157 and NGC7538S outflows. The results suggest that i) protostellar accretion disks driving outflows ubiquitously exist in the CMZ environment, ii) the large fraction of candidate starless cores is expected if these clouds are at very early evolutionary phases, with a caveat on the potential incompleteness of the outflows, iii) high-mass and low-mass star formation is ongoing simultaneously in these clouds, and iv) current data do not show evidence of difference between the shock chemistry in the outflows that determines the molecular abundances in the CMZ environment and in nearby clouds.
description: 43 pages, 25 figures, 3 tables, accepted for publication in ApJ
Leppin, Volker / Sattler, Dorothea (Hrsg.): Ökumenisches Lesebuch Reformation
Creators: name: Voß, Klaus Peter
Publisher: name: Ökumenische Rundschau
Year: 2025

description: Ökumenische Rundschau, Bd. 69 Nr. 2 (2020): Ökumenische Rundschau, Band 69, Heft 2
Consultation, collaboration and community participation : the archaeological excavation of two prehistoric Inupiaq burials at Kotzebue, Alaska
Creators: name: Devinney, Eileen
Publisher: name: University of British Columbia
Year: 2009

description: In recent years anthropologists have begun to reflect more upon their obligations to the communities which they study and serve. Native communities have also become more aware of their potential role in decisions affecting aspects of their cultural heritage. Increasingly these two groups have striven to develop collaborative approaches to conducting research. Collaboration among Native Americans, archaeologists, and anthropologists may provide benefits not only to the scientific community, but also to the Native American community. Dialogs and exchanges of information throughout the collaborative process greatly enhance mutual understanding and respect between the many individuals involved. Focusing on a particular incident, this paper explores a particularly sensitive area of archaeological collaboration - the identification and excavation of prehistoric human burials. When a private land owner discovered indigenous human remains on his property in Kotzebue, Alaska, during the summer of 1995, he immediately consulted the local native community and an archaeologist for advice and recommendations in handling the disinterment and relocation of the remains. Archaeological excavation of the remains was recommended and supported, as many felt that it could provide both the community and researchers with valuable data about prehistoric Inupiaq culture. Easily accessible to local residents, the excavation site drew steady crowds of curious onlookers. The immediate sharing of findings at the site created a dynamic atmosphere, fostering greater trust and interest between community members and researchers while also stimulating local interest in Inupiaq history and culture.
Initial evaluation of the market opportunity for the portfolio of Omni Processor technologies in Bangladesh
Creators: name: Baldi, Marjorie
name: , Bill
Publisher: name: Gates Open Research
Year: 2021

description: Omni Processors (OPs) are systems that use thermal treatment processes to eliminate all pathogens from fecal sludge (FS) and generate end products with potential market value. As the OP technology portfolio matures, technology partners and others gain increased clarity about the technical capabilities of different OP options. This study complements that technical understanding with additional market insight from Bangladesh to help guide further product development and inform market entry for commercial partners and local service providers. The objectives of the study are to: provide an overview of the current state of fecal sludge management (FSM), regulatory environment and key stakeholders, determine the most appropriate sizes of OP systems to use across Bangladesh, identify leading value propositions and key decision-making criteria ​of ecosystem actors, assess financial performance based on markets for end products and feasibility of securing tipping fees, and and develop a shared understanding of barriers to market entry and provide recommendations for how to resolve​.
Dynamical overlap fermions in the epsilon-regime
Creators: name: JLQCD Collaboration
name: Fukaya, H.
name: Hashimoto, S.
name: Kanaya, K.
name: Kaneko, T.
name: Matsufuru, H.
name: Ogawa, K.
name: Okamoto, M.
name: Onogi, T.
name: Yamada, N.
Publisher: name: arXiv
Year: 2006
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: We report on the two-flavor QCD simulation in the epsilon-regime using the overlap fermion formulation. Sea quark mass is reduced to ~ 2 MeV on a 16^3x32 lattice with the lattice spacing ~ 0.11fm. Topological charge is fixed at Q=0. We compare the eigenvalue distribution of the overlap-Dirac operator with the prediction of the chiral random matrix theory. Preliminary results on meson correlators are also reported.
description: 7 pages, talk presented at Lattice 2006 (chiral symmetry); to appear in Proceedings of Science, PoS(LAT2006)050
Streaming Knowledge Bases
Creators: name: Walavalkar, Onkar B
Publisher: name: Maryland Shared Open Access Repository
Year: 2008
Subjects: Computer Science (0984)

description: A knowledge base can be thought of as a special kind of database for knowledge; management. It provides a way of collection and efficient retrieval of knowledge. Due to growth in deployment of sensors, we encounter many scenarios where data is constantly flowing between sensors and applications. The volume of data produced is large, so is the rate of the data-flow. In such scenarios, knowledge extraction boils down to finding useful information i.e. detecting events of interest. Typical use cases where event detection is of paramount importance are surveillance, tracking, telecommunications data management, disease outburst detection and environmental monitoring. There are many streaming database applications built to deal with these dynamic environments. Some examples of query processors based on adaptive data-flow are TelegraphCQ and the Aurora project.; With the emergence of Semantic Web, we now have a universal medium for data,; information and knowledge exchange. RDF graphs are used to denote relation and interaction between different entities or resources. Some popular and uniform data interchange formats are developed to support RDF graphs. Knowledge extraction in Semantic Web is carrying out inferencing on such RDF graphs. Existing tools like Jena, Sesame are used for this task. Semantic Web can be effectively used to convert raw data generated in a pervasive environment into knowledge using Semantic markup. We can use formats recommended by Semantic Web, such as RDF/XML or n-triples, to express streaming facts. In a pervasive environment, performing reasoning on such streaming facts becomes a challenging task. Existing reasoners use techniques that load the whole RDF graph in main memory and carry out queries on it. This approach is of little use in real-time reasoning for streaming; scenarios and takes considerable amount of time. We combine the continuous query processors with Semantic Web techniques to build an ""rdfs:subClassOf"" reasoner that can deal with streaming data. Given an ontology, we pre-compute the transitive closure of all classes on ""rdfs:subClassOf"" relationship and store; the class-subclass relationships in a database table. At run-time we just need to query the database to identify subclass events of the event of concern. There are already many applications which describe data in RDF compatible formats. We feed streams of such RDF data to our query processor and carry out real-time ""rdfs:subClassOf"" reasoning on them.
Möllenbeck, Thomas / Schulte, Ludger (Hrsg.): Frieden
Creators: name: Schmidt, Markus
Publisher: name: Ökumenische Rundschau
Year: 2025

description: Ökumenische Rundschau, Bd. 69 Nr. 2 (2020): Ökumenische Rundschau, Band 69, Heft 2
Transport properties in bilayer Quantum Hall systems in the presence of a topological defect
Creators: name: Cristofano, Gerardo
name: Marotta, Vincenzo
name: Naddeo, Adele
name: Niccoli, Giuliano
Publisher: name: arXiv
Year: 2006
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Following a suggestion given in Phys. Lett. B 571(2003) 621, we show how a bilayer Quantum Hall system at fillings nu =1/p+1 can exhibit a point-like topological defect in its edge state structure. Indeed our CFT theory for such a system, the Twisted Model (TM), gives rise in a natural way to such a feature in the twisted sector. Our results are in agreement with recent experimental findings (Phys. Rev. B 72 (2005) 041305) which evidence the presence of a topological defect in the transport properties of the bilayer system.
description: 10 pages, 4 figures; talk given by A. Naddeo at "X Training Course in the Physics of Correlated Electron Systems and High-Tc Superconductors, Vietri sul Mare (SA),Italy, 3-14 October 2005
Speaker Characteristic-based Acoustic Model Adaptation Method for Speaker Recognition Systems
Creators: name: Millington, Daniel Scott
Publisher: name: Maryland Shared Open Access Repository
Year: 2011
Subjects: Characteristic Classification
Speaker Classification
Speaker Recognition

description: Speaker recognition systems are used to identify persons by their voice. Traditional applications include speaker verification for security purposes (Are you person X?), as well as speaker identification (Who are you?). These systems, although accurate, are not trusted for verification by themselves. The human voice can reveal not only who the speaker is, but their characteristics as well. Information such as the gender, age, and emotional state of a speaker can accurately be identified from voice. Most computer applications of this characteristic information consist of separating speakers into clusters for speaker recognition (to divide recognition effort), adjusting speech models for speech recognition systems, and presenting targeted information to a user base (e.g., teenage male vs. senior advertisements). This thesis presents a method for applying gender and age speaker characteristic classifiers to the traditional speaker recognition process. Typically, a speaker's speaker model is derived from a general model composed of all speakers. This work derives speaker models from characteristic models (e.g., all males, or all females, etc) with an unsupervised classification method. Empirical analysis shows moderate improvement in recognition accuracy.
A non-energetic mechanism for glycine formation in the interstellar medium
Creators: name: Ioppolo, S.
name: Fedoseev, G.
name: Chuang, K. -J.
name: Cuppen, H. M.
name: Clements, A. R.
name: Jin, M.
name: Garrod, R. T.
name: Qasim, D.
name: Kofman, V.
name: van Dishoeck, E. F.
name: Linnartz, H.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: The detection of the amino acid glycine and its amine precursor methylamine on the comet 67P/Churyumov-Gerasimenko by the Rosetta mission provides strong evidence for a cosmic origin of prebiotics on Earth. How and when such complex organic molecules form along the process of star- and planet-formation remains debated. We report the first laboratory detection of glycine formed in the solid phase through atom and radical-radical addition surface reactions under cold dense interstellar cloud conditions. Our experiments, supported by astrochemical models, suggest that glycine forms without the need for energetic irradiation, such as UV photons and cosmic rays, in interstellar water-rich ices, where it remains preserved, in a much earlier star-formation stage than previously assumed. We also confirm that solid methylamine is an important side-reaction product. A prestellar formation of glycine on ice grains provides the basis for a complex and ubiquitous prebiotic chemistry in space enriching the chemical content of planet-forming material.
description: Preprint of the original submitted version
Bilinear and quadratic Hamiltonians in two-mode cavity quantum electrodynamics
Creators: name: Prado, F. O.
name: de Almeida, N. G.
name: Moussa, M. H. Y.
name: Villas-Boas, C. J.
Publisher: name: arXiv
Year: 2006
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In this work we show how to engineer bilinear and quadratic Hamiltonians in cavity quantum electrodynamics (QED) through the interaction of a single driven two-level atom with cavity modes. The validity of the engineered Hamiltonians is numerically analyzed even considering the effects of both dissipative mechanisms, the cavity field and the atom. The present scheme can be used, in both optical and microwave regimes, for quantum state preparation, the implementation of quantum logical operations, and fundamental tests of quantum theory.
description: 11 pages, 3 figures
Asymptotic Iteration method for singular potentials
Creators: name: Champion, Brodie
name: Hall, Richard L.
name: Saad, Nasser
Publisher: name: arXiv
Year: 2008
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: The asymptotic iteration method (AIM) is applied to obtain highly accurate eigenvalues of the radial Schroedinger equation with the singular potential V(r)=r^2+λ/r^α(α,λ> 0) in arbitrary dimensions. Certain fundamental conditions for the application of AIM, such as a suitable asymptotic form for the wave function, and the termination condition for the iteration process, are discussed. Several suggestions are introduced to improve the rate of convergence and to stabilize the computation. AIM offers a simple, accurate, and efficient method for the treatment of singular potentials such as V(r) valid for all ranges of coupling λ.
description: 9 pages
Cervantes, E.; Sáenz Rodríguez, M. Un exvoto para la Virgen de Vico en Arnedo: un cuadro con futuro. Programa de Fiestas de Arnedo, Gráficas Isasa 2018, 158-164.
Creators: name: Cervantes, Emilio
Publisher: name: Zenodo
Year: 2024

description: Cervantes, E.; Sáenz Rodríguez, M. Un exvoto para la Virgen de Vico en Arnedo: un cuadro con futuro. Programa de Fiestas de Arnedo, Gráficas Isasa 2018, 158-164.
Stochastic Graph Grammars: Parameter Learning and Applications
Creators: name: Mukherjee, Sourav
Publisher: name: Maryland Shared Open Access Repository
Year: 2010
Subjects: Applications of Graph Grammars
Graph Grammar
Graph Mining
Parameter Learning
Relational Data Mining
Stochastic Graph Grammar

description: Although traditional data mining algorithms often assume the data to have a feature-vector representation, emerging domains for data mining such as bioinformatics and social networks require the underlying data to be represented as graphs. In this thesis, we present stochastic graph grammars as probability models suitable for mining graph databases. We first consider the problem of parameter learning of stochastic graph grammars from training data, and observe that the only known solution to this problem, PEGG (Parameter Estimation for Graph Grammars), relies on the bottom up parsing of the training instances. Parsing can be prohibitively expensive for many real grammars. To overcome this difficulty, we present the QuickPEGG algorithm for learning the grammar parameters more efficiently. QuickPEGG utilizes the fact  that for most grammars, the probability distributions of the number of nodes and the number of edges of the underlying graph distribution contain sufficient information to infer the grammar parameters, thus rendering parsing unnecessary for parameter learning. We then consider applications of the learned grammar to knowledge discovery in the underlying domain. In the existing literature, most applications of graph grammars are dominated by sampling and parsing. However, we show that once the stochastic graph grammar has been learned, interesting statistics such as the degree distribution may be inferred from it. Because of this property, stochastic graph grammars may be used as generative models for useful families of networks, such as scale-free networks where the degree of a node follows a power law distribution. In summary, our work establishes stochastic graph grammars as a framework suitable for mining graph databases; the algorithms presented in this thesis improve our ability to efficiently learn grammar parameters from training data. The applications shown in this thesis enable us to obtain a deeper understanding of the underlying graph distribution, once the grammar has been learned.
Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties
Creators: name: Cui, Bai
name: Zamzam, Ahmed
name: Bernstein, Andrey
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optimization and Control (math.OC)
subject: Systems and Control (eess.SY)
subject: FOS: Mathematics
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Increasing integration of distributed energy resources (DERs) within distribution feeders provides unprecedented flexibility at the distribution-transmission interconnection. To exploit this flexibility and to use the capacity potential of aggregate DERs, feasible substation power injection trajectories need to be efficiently characterized. This paper provides an ellipsoidal inner approximation of the set of feasible power injection trajectories at the substation such that for any point in the set, there exists a feasible disaggregation strategy of DERs for any load uncertainty realization. The problem is formulated as one of finding the robust maximum volume ellipsoid inside the flexibility region under uncertainty. Though the problem is NP-hard even in the deterministic case, this paper derives novel approximations of the resulting adaptive robust optimization problem based on optimal second-stage policies. The proposed approach yields less conservative flexibility characterization than existing flexibility region approximation formulations. The efficacy of the proposed method is demonstrated on a realistic distribution feeder.
description: 6 pages, 1 figure, to be published in IEEE Control Systems Letters
Stochastic and Iterative Techniques for Relational Data Clustering
Creators: name: Anthony, Adam Paul
Publisher: name: Maryland Shared Open Access Repository
Year: 2009
Subjects: Block Model
Clustering
Multi-Relational Clustering
Probabilistic Clustering
Relation Selection
Relational Data

description: This dissertation focuses on the topic of relational data clustering, which is the task of organizing objects into  logical groups, or clusters, taking into account the relational links between objects. As a research area, relational clustering has received a great deal of attention recently, because of the large variety of social media applications and other modern relational data sources that have become popular, such as weblogs, protein interac-tion networks, social networks, and citation graphs. The contributions of this dissertation are in three areas: probabilistic clustering algorithms, iterative clustering algorithms, and multi- relational clustering algorithms. The probabilistic clustering algorithms are presented as a general framework and allow for the highest level of expression in developing models for relational clustering. Specifically, I show that one particular part of the clustering model— the relation existence distribution— can be modified in a variety of ways. I give two example instantiations of the framework: one that uses objects’ distance from their cluster mean to adjust link prob-abilities, and another that measures the correlation of paired covariate values to determine link probabilities. I demonstrate the properties of each model on both artificial data and two social networks. The results show the potential of the relational probability function in developing useful clustering models. The iterative algorithm presented in this dissertation, BMOD, trades off model ex-pressiveness  for speed and can be applied to much larger data sets, scaling up to several thousand objects. I present empirical results showing that BMOD performs similarly to  two related probabilistic models, while also being much faster. The model is applied to a variety of relational data sets including a protein interaction network, a citation graph, and a social network.  The results for the BMOD algorithm led to a multi- relational approach: M- BMOD, which generalizes the clustering model for multiple relation types. The M- BMOD algo-rithm is shown to perform poorly when low- quality data is present, so an approach for relation selection, or the process of identifying the most relevant relational information out of a larger set of different relation types, is presented. I show that the approach effectively  identifies relations that mutually agree on an optimal clustering while also filtering out any relations that will mislead the algorithm.
Statistically-Weighted Visualization Hierarchies
Creators: name: Bronson, Jonathan
Publisher: name: Maryland Shared Open Access Repository
Year: 2008
Subjects: Computer Science(0984)
Visualization Hierarchies
Statistical MIP Maps
GPU Error Diffusion
Level of Detail
Multivariate Error Diffusion

description: We are beginning to see an overload in the amount of information packed into a given visualization. In many cases, it is no longer possible to look at a single level of detail and obtain from it the answers we are looking for. This problem is especially relevant to datasets of high dimensionality. Not only does it become difficult to hone in on a particular dimension of possible interest, but even more difficult to find and understand the relationships among them. In traditional computer graphics aimed at 3D rendering, varying orders of magnitude have traditionally been addressed by texture hierarchies known as MIP Maps. These hierarchies are extremely fast and provide a seamless transition from one level of detail to the next. Unfortunately, this approach does not carry over to textures full of scientific data. Instead, such an approach introduces a series of errors which not only misrepresent and corrupt the underlying data as visible to the viewer, but hide interesting features which warrant further investigation. We propose an alternative hierarchical approach, using statistical analysis to generate more representative macroscopic views of extremely high detailed data fields. Several variations of this approach are examined, showing that hierarchies generated strictly from base level data are superior, especially when used in conjunction with error diffusion. Additionally we provide multiple example metrics as possible filter functions for this approach.
Vacuum energy in Einstein-Gauss-Bonnet AdS gravity
Creators: name: Kofinas, Georgios
name: Olea, Rodrigo
Publisher: name: arXiv
Year: 2006
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: A finite action principle for Einstein-Gauss-Bonnet AdS gravity is presented. The boundary term, which is different for even and odd dimensions, is a functional of the boundary metric, intrinsic curvature and extrinsic curvature. For even dimensions, the boundary term corresponds to the maximal Chern form of the spacetime, and the asymptotic AdS condition for the curvature suffices for the well-posedness of this action. For odd dimensions, the action is stationary under a boundary condition on the variation of the extrinsic curvature. The background-independent Noether charges associated to asymptotic symmetries are found and the Euclidean continuation of the action correctly describes the black hole thermodynamics in the canonical ensemble. In particular, this procedure leads to a covariant formula for the vacuum energy in odd-dimensional asymptotically AdS spacetimes.
description: RevTex, 5 pages, accepted for publication in PRD
title: Зажимные устройства технологической оснастки
Creators: name: ELS IPR BOOKS
Publisher: name: Профобразование, Ай Пи Ар Медиа
Year: 2021

description: В учебном пособии изложены основы выбора зажимных устройств, рассмотрены зажимные устройства приспособлений для закрепления заготовок и инструмента. Подготовлено с учетом требований Федерального государственного образовательного стандарта среднего профессионального образования. Учебное пособие будет полезно для студентов, обучающихся по профессии 15.01.08 «Наладчик литейного оборудования» и специальности 15.02.15 «Технология металлообрабатывающего производства», изучающих дисциплину «Технологическая оснастка».
The First Moment of the Kaon Distribution Amplitude from N_f=2+1 Domain Wall Fermions
Creators: name: Boyle, P. A.
name: Donnellan, M. A.
name: Flynn, J. M.
name: Juttner, A.
name: Noaki, J.
name: Sachrajda, C. T.
name: Tweedie, R. J.
Publisher: name: arXiv
Year: 2006
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: We present a lattice computation of the first moment of the kaon's leading-twist distribution amplitude. We use ensembles with 2+1 dynamical flavours of domain wall fermions and the Iwasaki gauge action from the RBC and UKQCD joint dataset. We observe the expected chiral behaviour and obtain (2GeV)=3/5a_K^1(2GeV)=0.032(3), which agrees very well with other results obtained using QCD sum-rules and the recent lattice result from the UKQCD/QCDSF collaboration.
description: Talk at Lattice 2006; to be published in Proceedings Of Science as POS(LAT2006)111. 7 pages; 1 figures
A high throughput search of efficient thermoelectric half-Heusler compounds
Creators: name: Raghuvanshi, Parul R.
name: Mondal, Suman
name: Bhattacharya, Amrita
Publisher: name: arXiv
Year: 2020
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences
subject: J.2; I.6.3

description: Half-Heusler compounds have emerged as promising thermoelectric materials that offer huge compositional space to tune their thermoelectric performance. A class of stable half Heusler compounds formed from elements of three specific groups in the periodic table viz. X$_{p}$X$'_{1-p}$Y$_{q}$Y$'_{1-q}$Z$_{r}$Z$'_{1-r}$ (with X, X$'$= Ti, Zr, Hf, Y, Y$'$ = Ni, Pd, Pt and Z, Z$'$ = Ge, Sn, Pb and p, q, r = 0, 0.25, 0.75 and 1) via various stoichiometric isoelectronic elemental substitution at the X, Y and Z sites respectively is investigated. Intelligent filters are employed at each step of our high throughput density functional theory calculations to filter compounds with improved figure of merit. While confirming several known results, the calculations also reveal unknown pathways to improve the thermoelectric performance of the compound class. The 50% X as well as Z site substitution of the parent Heusler individually are found to marginally enhance the power factor for both the $p$- and $n$-type doping, while leading to considerable enhancement in the figure of merit (by $\sim$24 %) specifically due to lowering of the lattice thermal conductivity because of increase in lattice disorder in approximately the same cell volume. Furthermore, the present study confirms the experimental scenario that Y site substitution does not lead to enhancement of the powerfactor because of the breaking of band degeneracies at the high symmetry points. This work will serve as a consolidated cost effective guideline for experimentalist working with this compound class on enhancing the powerfactor and figure of merit of the compositions.
description: Main manuscript(11 pages and 7 figures), and supplementary (8 pages and 18 figures)
Nonvolatile ferroelectric control of ferromagnetism in (Ga,Mn)As
Creators: name: Stolichnov, I.
name: Riester, S. W. E.
name: Trodahl, H. J.
name: Setter, N.
name: Rushforth, A. W.
name: Edmonds, K. W.
name: Campion, R. P.
name: Foxon, C. T.
name: Gallagher, B. L.
name: Jungwirth, T.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: There is currently much interest in materials and structures that provide coupled ferroelectric and ferromagnetic responses, with a long-term goal of developing new memories and spintronic logic elements. Within the field there is a focus on composites coupled by magnetostrictive and piezoelectric strain transmitted across ferromagnetic-ferroelectric interfaces, but substrate clamping limits the response in the supported multilayer configuration favoured for devices. This constraint is avoided in a ferroelectric-ferromagnetic bilayer in which the magnetic response is modulated by the electric field of the poled ferroelectric. Here, we report the realization of such a device using a diluted magnetic semiconductor (DMS) channel and a polymer ferroelectric gate. Polarization reversal of the gate by a single voltage pulse results in a persistent modulation of the Curie temperature as large as 5%. The device demonstrates direct and quantitatively understood electric-fieldmediated coupling in a multiferroic bilayer and may provide new routes to nanostructured DMS materials and devices via ferroelectric domain nanopatterning. The successful implementation of a polymer-ferroelectric gate fieldeffect transistor (FeFET) with a DMS channel adds a new functionality to semiconductor spintronics and may be of importance for future low-voltage spintronics devices and memory structures.
description: 19 pages, 5 figures
Exact analytical solution to the relativistic Klein-Gordon equation with non-central equal scalar and vector potentials
Creators: name: Yasuk, Fevziye
name: Durmus, Aysen
name: Boztosun, Ismail
Publisher: name: arXiv
Year: 2006
Subjects: subject: Quantum Physics (quant-ph)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We present an alternative and simple method for the exact solution of the Klein-Gordon equation in the presence of the non-central equal scalar and vector potentials by using Nikiforov-Uvarov (NU) method. The exact bound state energy eigenvalues and corresponding eigenfunctions are obtained for a particle bound in a potential of $V(r,θ) = \fracα{r} + \fracβ{r^2\sin ^2θ} + γ\frac{\cos θ}{r^2\sin ^2θ}$ type.
description: 12 pages, accepted for publication in Journal of Mathematical Physics
Spread Identity: A New Dynamic Address Remapping Mechanism for Anonymity and DDoS Defense
Creators: name: Sonawane, Bhushan Eknath
Publisher: name: Maryland Shared Open Access Repository
Year: 2010
Subjects: anonymity
applied cryptography
Distributed Denial of Service (DDoS) attacks
Internet Protocol (IP)
Network Address Translation (NAT)
network security

description: We present and experimentally evaluate spread identity -- a new dynamic network address remapping mechanism for Internet connections that provides anonymity and DDoS defense. For each session between a source and destination host, the trusted source gateway dynamically and randomly assigns an IP address for the source from the pool of all routable IP addresses within the source organization. Similarly, in response to a name resolution query from the source gateway, the trusted authoritative DNS server for the destination host dynamically and randomly assigns an IP address for the destination from the pool of all routable IP addresses within the destination organization. Moreover, different hosts can share the same IP address when communicating with distinct peers. Each gateway creates a NAT entry, valid for the communication session, based on the dynamic assignment by its organization. An eavesdropper listening to packets flowing through the Internet between the source and destination gateways learns only the source and destination domains; the eavesdropper cannot see the actual complete IP addresses of the source and destination hosts. In addition, spread identity enhances DDoS defense capabilities by facilitating filtering of packets based on destination address. Whereas a traditional IP source address can be spoofed, with spread identity the destination address cannot be spoofed. Therefore, using multiple IP addresses for the same destination enables simple and powerful DDoS protections that block attackers without necessarily blocking legitimate users. Our ns-2 simulations demonstrate that file transfer success rates for our spread identity DDoS protection mechanism are similar to those of filter- and capability-based approaches, with lower file transfer times than for filter-based approaches. Deploying spread identity requires changes to organizational gateways but not to Internet routers. Another cost is increased DNS traffic, but unlike overlay-based DDoS defense approaches, spread identity does not increase overall communication network latency. A partial form of spread identity implemented only at the destination facilitates destination-based filtering without providing sender anonymity.
title: Основы проектирования технологической оснастки
Creators: name: ELS IPR BOOKS
Publisher: name: Профобразование, Ай Пи Ар Медиа
Year: 2021

description: В учебном пособии даны требования к технологической оснастке и особенности ее применения на станках с ЧПУ, изложены основы точности и конструкции приспособлений для крепления заготовок, описаны силы зажима заготовок в приспособлениях. Кроме того, рассмотрены универсально-наладочные приспособления и системы приспособлений для закрепления режущего инструмента. Подготовлено в соответствии с Федеральным государственным образовательным стандартом среднего профессионального образования. Учебное пособие предназначено для студентов, обучающихся по специальности 15.02.14 «Оснащение средствами автоматизации технологических процессов и производств», изучающих дисциплину «Основы проектирования технологической оснастки».