cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Intersecting branes and a standard model realization in matrix models
Creators: name: Chatzistavrakidis, Athanasios
name: Steinacker, Harold
name: Zoupanos, George
Publisher: name: arXiv
Year: 2011
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We consider intersecting brane solutions of the type IIB matrix model. It is shown that fermionic zero-modes arise on such backgrounds, localized at the brane intersections. They lead to chiral fermions in four dimensions under certain conditions. Such configurations reproduce many of the welcome features in similar string-theoretic constructions. Therefore they can be used to construct semi-realistic particle physics models in the framework of Yang-Mills matrix models. In particular, we present a brane configuration which realizes the correct chiral spectrum of the standard model in the matrix model. Furthermore, the stability of intersecting branes is discussed by analyzing the 1-loop effective action. It is shown that intersecting branes may form a bound state for certain flux configurations. The four-dimensional geometry of the branes is generic, and determined by the (emergent) gravity sector of the matrix model.
description: 35 pages. V2: discussion on SUSY added V3: improved discussion of the Higgs sector
Parameterized Intractability of Even Set and Shortest Vector Problem
Creators: name: Bhattacharyya, Arnab
name: Bonnet, Édouard
name: Egri, László
name: Ghoshal, Suprovat
name: Karthik, C. S.
name: Lin, Bingkai
name: Manurangsi, Pasin
name: Marx, Dániel
Publisher: name: CISPA
Year: 2023

description: The -Even Set problem is a parameterized variant of the Minimum Distance Problem of linear codes over , which can be stated as follows: given a generator matrix and an integer , determine whether the code generated by has distance at most , or, in other words, whether there is a nonzero vector such that has at most nonzero coordinates. The question of whether -Even Set is fixed parameter tractable (FPT) parameterized by the distance has been repeatedly raised in the literature; in fact, it is one of the few remaining open questions from the seminal book of Downey and Fellows [1999]. In this work, we show that -Even Set is W[1]-hard under randomized reductions. We also consider the parameterized -Shortest Vector Problem (SVP), in which we are given a lattice whose basis vectors are integral and an integer , and the goal is to determine whether the norm of the shortest vector (in the norm for some fixed ) is at most . Similar to -Even Set, understanding the complexity of this problem is also a long-standing open question in the field of Parameterized Complexity. We show that, for any , -SVP is W[1]-hard to approximate (under randomized reductions) to some constant factor.
The effect of bitumen extraction conditions on froth treatment effectiveness
Creators: name: Valinasab, Mehrdad
Publisher: name: University of Calgary
Year: 2006

description: Bibliography: p. 93-97
description: Some pages are in colour.
description: There are two main stages of oil sands processing: extraction and froth treatment. Extraction involves conditioning with hot water and, if necessary NaOH, either in a high shear or in a low shear process. Conditioning is followed by aeration and flotation to produce a froth consisting of bitumen, water, and inorganic solids. The froth is treated in a second stage to separate the bitumen from the water and inorganic solids. There are two commercialized froth treatment processes in Alberta: 1) the 'Syncrude' process, dilution with an aromatic solvent followed by centrifugation; 2) the 'Albian' process, dilution with a paraffinic solvent followed by gravity settling. Previous research has aimed to optimize each stage of the process separately. This study attempts to establish the relationship between bitumen extraction conditions and froth treatment effectiveness. The experiments were performed on laboratory approximations of the commercial processes including a Batch Extraction Unit (low shear extraction unit), a Denver Cell (high shear extraction unit), as well as Aromatic Solvent and Paraffinic Solvent froth treatment methods, which approximate commercial Syncrude and Albian processes, respectively. The extraction parameters considered are operating temperature, NaOH addition, and extraction method. Froth treatment parameters are temperature, residence time, choice of diluent, and dilution ratio. The effectiveness of the froth treatment is assessed in terms of bitumen recovery and the water and solids content in the recovered bitumen. In addition, a numerical settling model is developed to aid in future research on settling rates of froth material.
Privacy considerations for sharing genomics data
Creators: name: Oestreich, Marie
name: Chen, Dingfan
name: Schultze, Joachim L.
name: Fritz, Mario
name: Becker, Matthias
Publisher: name: CISPA
Year: 2023

description: An increasing amount of attention has been geared towards understanding the privacy risks that arise from sharing genomic data of human origin. Most of these efforts have focused on issues in the context of genomic sequence data, but the popularity of techniques for collecting other types of genome-related data has prompted researchers to investigate privacy concerns in a broader genomic context. In this review, we give an overview of different types of genome-associated data, their individual ways of revealing sensitive information, the motivation to share them as well as established and upcoming methods to minimize information leakage. We further discuss the concise threats that are being posed, who is at risk, and how the risk level compares to potential benefits, all while addressing the topic in the context of modern technology, methodology, and information sharing culture. Additionally, we will discuss the current legal situation regarding the sharing of genomic data in a selection of countries, evaluating the scope of their applicability as well as their limitations. We will finalize this review by evaluating the development that is required in the scientific field in the near future in order to improve and develop privacy-preserving data sharing techniques for the genomic context.
Empowerment for Continuous Agent-Environment Systems
Creators: name: Jung, Tobias
name: Polani, Daniel
name: Stone, Peter
Publisher: name: arXiv
Year: 2012
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: This paper develops generalizations of empowerment to continuous states. Empowerment is a recently introduced information-theoretic quantity motivated by hypotheses about the efficiency of the sensorimotor loop in biological organisms, but also from considerations stemming from curiosity-driven learning. Empowemerment measures, for agent-environment systems with stochastic transitions, how much influence an agent has on its environment, but only that influence that can be sensed by the agent sensors. It is an information-theoretic generalization of joint controllability (influence on environment) and observability (measurement by sensors) of the environment by the agent, both controllability and observability being usually defined in control theory as the dimensionality of the control/observation spaces. Earlier work has shown that empowerment has various interesting and relevant properties, e.g., it allows us to identify salient states using only the dynamics, and it can act as intrinsic reward without requiring an external reward. However, in this previous work empowerment was limited to the case of small-scale and discrete domains and furthermore state transition probabilities were assumed to be known. The goal of this paper is to extend empowerment to the significantly more important and relevant case of continuous vector-valued state spaces and initially unknown state transition probabilities. The continuous state space is addressed by Monte-Carlo approximation; the unknown transitions are addressed by model learning and prediction for which we apply Gaussian processes regression with iterated forecasting. In a number of well-known continuous control tasks we examine the dynamics induced by empowerment and include an application to exploration and online model learning.
Additional file 1 of Convolutional neural networks for automatic image quality control and EARL compliance of PET images
Creators: name: Pfaehler, Elisabeth
name: Euba, Daniela
name: Rinscheid, Andreas
name: Hoekstra, Otto S.
name: Zijlstra, Josee
name: van Sluis, Joyce
name: Brouwers, Adrienne H.
name: Lapa, Constantin
name: Boellaard, Ronald
Publisher: name: figshare
Year: 2022
Subjects: subject: Artificial Intelligence and Image Processing
subject: FOS: Computer and information sciences

description: Additional file 1. Supplemental Table 1. Accuracy for CNN trained to identify clinical and EARL compliant reconstructions when using original SUV images. Supplemental Table 2. Accuracy for CNN trained to identify EARL1 and EARL2 compliant reconstructions when using original SUV images. Supplemental Table 3. Accuracy for CNN when trained with three outcomes (Clinical, EARL1, EARL2).
PES Technical Roadmap
Creators: YC Zhang
Jianhui Wang
Yashen Lin
Fangxing (Fran) Li
Craig Preuss
Publisher: name: IEEE
Year: 2024

This panel will review and discuss the first PES Technical Roadmap Technical Report, and lay out the plan for the next steps.
This panel will review and discuss the first PES Technical Roadmap Technical Report, and lay out the plan for the next steps.
Development of A Novel Reclaiming Process for Degraded Solvents and Glycols from Industrial Gas Processing and Purification
Creators: name: Ju, Huitian
Publisher: name: Graduate Studies
Year: 2018
Subjects: subject: Education--Industrial
subject: Education--Sciences
subject: Education--Technology
subject: Education--Tests and Measurements
subject: Industrial and Labor Relations

description: Densities, viscosities, refractive indices and electrical conductivities of both artificial degraded and industrial degraded MEA solutions were measured at standard temperature of 298.15 K or 293.15 K. These measurement data are not currently available for the degraded MEA solutions and the reported values are particularly important for monitoring solvent quality and plant performance. A new reclaiming process was developed to continuously separate degradation products and other types of impurities from the solvent. The detailed analysis of the feed stream, the recovered product stream, and the waste stream showed that this novel reclamation technology is capable of removing most of undesirable impurities and restoring the solvent to its original purity at a high recovery rate. The data would be useful for scaling-up and designing the commercial reclaimers, which can meet the solvents’ cleanup targets at low expenditures, low energy consumption, and minimum waste for disposal.
New Constraints on Neutrino Velocities
Creators: name: Cohen, Andrew G.
name: Glashow, Sheldon L.
Publisher: name: arXiv
Year: 2011
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The OPERA collaboration has claimed that muon neutrinos with mean energy of 17.5 GeV travel 730 km from CERN to the Gran Sasso at a speed exceeding that of light by about 7.5 km/s or 25 ppm. However, we show that such superluminal neutrinos would lose energy rapidly via the bremsstrahlung of electron-positron pairs ($ν\rightarrow ν+e^-+e^+$). For the claimed superluminal neutrino velocity and at the stated mean neutrino energy, we find that most of the neutrinos would have suffered several pair emissions en route, causing the beam to be depleted of higher energy neutrinos. Thus we refute the superluminal interpretation of the OPERA result. Furthermore, we appeal to Super-Kamiokande and IceCube data to establish strong new limits on the superluminal propagation of high-energy neutrinos.
description: 5 pages
Outstanding Doctoral Dissertations in Power and Energy Systems
Creators: Gonzalo Constante Flores
Antonio Conejo
Abhineet Prakash
Manish Singh
Yu Weng
Zhongda Chu
Publisher: name: IEEE
Year: 2024

This session is intended to recognize the best emerging academic work that falls under the scope and enhances the mission of the Power and Energy Society (https://www.ieee-pes.org/about-pes). Nominations will be solicited from recent Ph.D. (or equivalent) graduates that defended their dissertation within the last three calendar years at the time of the nomination deadline. An evaluation committed formed from PEEC members (led by the PEEC Awards Subcommittee Chair) will evaluate the outstanding contributions made by the candidate to the PES. Four qualified candidates will be selected to present their work (25 minutes each). The intended audience for the session are undergraduate and graduate students, and other early career academic professionals.
This session is intended to recognize the best emerging academic work that falls under the scope and enhances the mission of the Power and Energy Society (https://www.ieee-pes.org/about-pes). Nominations will be solicited from recent Ph.D. (or equivalent) graduates that defended their dissertation within the last three calendar years at the time of the nomination deadline. An evaluation committed formed from PEEC members (led by the PEEC Awards Subcommittee Chair) will evaluate the outstanding contributions made by the candidate to the PES. Four qualified candidates will be selected to present their work (25 minutes each). The intended audience for the session are undergraduate and graduate students, and other early career academic professionals.
Neoatractides (Allotorrenticola) malayensis
Creators: name: Pesic, Vladimir
name: Smit, Harry
Publisher: name: Zenodo
Year: 2009
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Trombidiformes
Torrenticolidae
Neoatractides
Neoatractides malayensis

description: Neoatractides (Allotorrenticola) malayensis (Wiles, 1991) (Figs. 92–95) Material. Thailand, Stream W of Bankrang Camp, Kaeng Krachan NP, 30.xi.2007, 12° 48.106 N 99° 26.786 E, leg. Smit (0/2/0), one female dissected and slide mounted in Hoyer's fluid. Morphology. Female: Idiosoma (ventral view: Fig. 93) L 597, W 444; dorsal shield (Fig. 92) L 463, W 381, L/W ratio 1.2; dorsal plate 431; shoulder plate L 109, W 53, L/W ratio 2.1; frontal plate L 138, W 53, L/ W ratio 2.6; shoulder/frontal plate L ratio 0.79; gnathosomal bay L 79, Cx-1 total L 128, Cx-2+3 medial 47; genital field L/W 141/125, L/W ratio 1.1; distance genital field–excretory pore 175, genital field–caudal idiosoma margin 200; capitulum (Fig. 95) ventral L 278; chelicera L 353; palp (Fig. 94) total L 195, L and %L (in parentheses): P-1 35 (18.0), P-2 77 (39.5), P-3 50 (25.6), P-4 23 (11.8), P-5 10 (5.1). Remarks. This species can easily be recognised by the characteristic shape of the palp (P-3 with small ventral seta located proximal to small ventral projection, see Fig. 94). Distribution. Peninsular Malaysia. New for Thailand.
description: Published as part of Pesic, Vladimir & Smit, Harry, 2009, Water mites of the family Torrenticolidae Piersig, 1902 (Acari: Hydrachnidia) from Thailand, Part I. The genera Torrenticola Piersig, 1896, Neoatractides Lundblad, 1941 and Pseudotorrenticola Walter, 1906, pp. 38-62 in Zootaxa 1982 on pages 60-61
description: {"references": ["Wiles, P. R. (1991) Rheophilic watermites (Acari: Hydrachnidia) from mainland Malaysia. Acarologia, 32, 41 - 56."]}
Timescales of Turbulent Relative Dispersion
Creators: name: Bitane, Rehab
name: Bec, Jérémie
name: Homann, Holger
Publisher: name: arXiv
Year: 2012
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences

description: Tracers in a turbulent flow separate according to the celebrated $t^{3/2}$ Richardson--Obukhov law, which is usually explained by a scale-dependent effective diffusivity. Here, supported by state-of-the-art numerics, we revisit this argument. The Lagrangian correlation time of velocity differences is found to increase too quickly for validating this approach, but acceleration differences decorrelate on dissipative timescales. This results in an asymptotic diffusion $\propto t^{1/2}$ of velocity differences, so that the long-time behavior of distances is that of the integral of Brownian motion. The time of convergence to this regime is shown to be that of deviations from Batchelor's initial ballistic regime, given by a scale-dependent energy dissipation time rather than the usual turnover time. It is finally argued that the fluid flow intermittency should not affect this long-time behavior of relative
description: 4 pages, 3 figures
Global Power Grid Transformation – New Trend and Opportunities
Creators: Mohammad Shahidehpour
Paulo Ribeiro
Wei-jen Lee
Naoki Kobayashi
Jay Liu
Rudi Schubert
Publisher: name: IEEE
Year: 2024

Global power systems are undergoing significant transformation with high penetration renewable energy resources and DERs. EVs, electrification of transportations, are reshaping the energy demand services patterns with potential new reliability and resilience support. At this panel, leaders in industry and academia will provide outlooks on the opportunities of new infrastructure development and market design. Evolution of Smart Grid technologies and its future trends will be reviewed. Humanity and Sustainability factors through the future power grid development and operation will be discussed.
Global power systems are undergoing significant transformation with high penetration renewable energy resources and DERs. EVs, electrification of transportations, are reshaping the energy demand services patterns with potential new reliability and resilience support. At this panel, leaders in industry and academia will provide outlooks on the opportunities of new infrastructure development and market design. Evolution of Smart Grid technologies and its future trends will be reviewed. Humanity and Sustainability factors through the future power grid development and operation will be discussed.
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations
Creators: name: Losch, Max
name: Fritz, Mario
name: Schiele, Bernt
Publisher: name: CISPA
Year: 2023

description: Today’s deep learning systems deliver high performance based on end-to-end training but are notoriously hard to inspect. We argue that there are at least two reasons making inspectability challenging: (i) representations are distributed across hundreds of channels and (ii) a unifying metric quantifying inspectability is lacking. In this paper, we address both issues by proposing Semantic Bottlenecks (SB), which can be integrated into pretrained networks, to align channel outputs with individual visual concepts and introduce the model agnostic Area Under inspectability Curve (AUiC) metric to measure the alignment. We present a case study on semantic segmentation to demonstrate that SBs improve the AUiC up to six-fold over regular network outputs. We explore two types of SB-layers in this work. First, concept-supervised SB-layers (SSB), which offer inspectability w.r.t. predefined concepts that the model is demanded to rely on. And second, unsupervised SBs (USB), which offer equally strong AUiC improvements by restricting distributedness of representations across channels. Importantly, for both SB types, we can recover state of the art segmentation performance across two different models despite a drastic dimensionality reduction from 1000s of non aligned channels to 10s of semantics-aligned channels that all downstream results are based on.
Dynamically Excited Outer Solar System Objects in the Hubble Space Telescope Archive
Creators: name: Fuentes, Cesar I.
name: Trilling, David E.
name: Holman, Matthew J.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: We present the faintest mid ecliptic latitude survey in the second part of HST archival search for outer Solar System bodies. We report the discovery of 28 new trans-Neptunian objects and 1 small centaur (R ~ 2km) in the band 5{\circ} - 20{\circ} off the ecliptic. The inclination distribution of these excited ob jects is consistent with the distribution derived from brighter ecliptic surveys. We suggest that the size and inclination distribution should be estimated consistently using suitable surveys with calibrated search algorithms and reliable orbital information.
title: Was wäre möglich, wenn die Poesie noch möglich wäre? Und was hätte die Natur damit zu tun?
title: Zeitgemäße Annäherungen an Eugenio Montale
titleType: Subtitle
Creators: name: Söffner, Jan
Publisher: name: Trier University
Year: 2021

description: This essay puts forth a definition of poetry rooted in experience. In following Eugenio Montale, it analyzes two of his poems – “I limoni” and “Notizie dall’Amiata” – to show how the poet, rather than constructing discrete poetic worlds, aims at a poetry revealing the world and nature to a concrete reader, unforeseeable for the poet. Poetry thus aims at imbuing this reader’s life with an ephemeral poetic form, rather than evoking its own self-sufficient aesthetics. In doing so, chance and flaws in the social and cultural construction of reality act as co-authors of his “poesia”.
Pseudotorrenticola sharpae Wiles 1997
Creators: name: Pesic, Vladimir
name: Smit, Harry
Publisher: name: Zenodo
Year: 2009
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Trombidiformes
Torrenticolidae
Pseudotorrenticola
Pseudotorrenticola sharpae

description: Pseudotorrenticola sharpae Wiles, 1997 (Figs. 96–98) Material. Thailand: Pong Creek crossing road to Muang Kong, Doi Chiang Dao, alt. 477 m, 22.xi.2007, 19° 24.774 N 98° 55.127 E, leg. Smit (1/1/0), female dissected and slide mounted in Hoyer's fluid; Thorntip Waterfall, Kaeng Krachan NP, 29.xi.2007, 12° 50.952 N 99° 18.498 E, leg. Smit (2/0/0); unnamed creek crossing track from watchtower, Khao Yai NP, 11.xi.2007, 14° 27.533 N 101° 20.386 E, leg. Smit (0/1/0); stream W of Bankrang Camp, Kaeng Krachan NP, 30.xi.2007, 12° 48.106 N 99° 26.786 E, leg. Smit (5/4/0), one male dissected and slide mounted in Hoyer's fluid. Remarks. Widespread in SE Asian rivers (Wiles 1999). Our specimens agree well with the description given by Wiles (1997). This species can easily be recognised by the characteristic shape of the capitulum (rostrum considerably long and narrow, see Fig. 98). Distribution. Thailand, Peninsular Malaysia, N. Brunei.
description: Published as part of Pesic, Vladimir & Smit, Harry, 2009, Water mites of the family Torrenticolidae Piersig, 1902 (Acari: Hydrachnidia) from Thailand, Part I. The genera Torrenticola Piersig, 1896, Neoatractides Lundblad, 1941 and Pseudotorrenticola Walter, 1906, pp. 38-62 in Zootaxa 1982 on pages 61-62
description: {"references": ["Wiles, P. R. (1997) Asian and Oriental Torrenticolidae Piersig, 1902 (Acari: Hydrachnidia: Lebertioidea): a revision of the family and description of new species of Torrenticola Piersig and Pseudotorrenticola Walter, from Southeast Asia. Journal of Natural History, 31, 191 - 236.", "Wiles, P. R. (1999) The water mites (Acari: Hydrachnidia) of Borneo and additional new species from Thailand and Sulawesi. The Raffles Bulletin of Zoology, 47 (2), 409 - 439."]}
Optimized Bose-Einstein-condensate production in a dipole trap based on a 1070-nm multifrequency laser: Influence of enhanced two-body loss on the evaporation process
Creators: name: Lauber, Thomas
name: Kueber, Johannes
name: Wille, Oliver
name: Birkl, Gerhard
Publisher: name: arXiv
Year: 2011
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We present an optimized strategy for the production of tightly confined Bose-Einstein condensates (BEC) of 87Rb in a crossed dipole trap with direct loading from a magneto-optical trap. The dipole trap is created with light of a multifrequency fiber laser with a center wavelength of 1070nm. Evaporative cooling is performed by ramping down the laser power only. A comparison of the resulting atom number in an almost pure BEC to the initial atom number and the value for the gain in phase space density per atom lost confirm that this straightforward strategy is very efficient. We observe that the temporal characteristics of evaporation sequence are strongly influenced by power-dependent two-body losses resulting from enhanced optical pumping to the higher-energy hyperfine state. We characterize these losses and compare them to results obtained with a single-frequency laser at 1030nm.
Bioinformatic analysis of cis-encoded antisense transcription
Creators: name: Morrissy, Anca Sorana
Publisher: name: University of British Columbia
Year: 2011

description: A key first step in understanding cellular processes is a quantitative and comprehensive measurement of gene expression profiles. The scale and complexity of the mammalian transcriptome is a significant challenge to efforts aiming to identify the complete set of expressed transcripts. Specifically, detection of low-abundance sequences, such as antisense transcripts, has historically been difficult to achieve using EST libraries, microarrays, or tag sequencing methods. Antisense transcripts are expressed from the opposite strand of a partner gene, and in some cases can regulate the processing of the sense transcript, highlighting their biological relevance. Recently, efficient profiling of low-frequency transcripts was made possible with the advent of next generation sequencing platforms. Thus, a major goal of my thesis was to assess the prevalence of antisense transcripts using Tag-seq, a tag sequencing method modified to take advantage of the Illumina sequencing platform. The increase in sampling depth provided by Tag-seq resulted in significantly improved detection of low abundance antisense transcripts, and allowed accurate measurements of their differential expression across normal and cancerous states. While antisense transcription is known to regulate sense transcript processing at a small number of loci, no genome wide assessments of this regulatory interaction exist. I addressed this knowledge gap using Affymetrix exon arrays, and found a significant correlation between antisense transcription and alternative splicing in normal human cells. Further exploring the biological relevance of antisense-correlated splicing events in human disease, I found that these events could be used to identify clinically distinct subtypes of cancer. Together, the findings in this thesis provide a new foundation for the investigation of antisense transcripts in the regulation of alternative transcript processing, and open new avenues of research into understanding the molecular heterogeneity of human cancers.
ML/AI for electricity market and grid operations under extreme weather
Creators: Nanpeng Yu
Hao Zhu
Matt Tierney
Chen-Hao Tsai
Sienna Shi
Chris Goode
Publisher: name: IEEE
Year: 2024

The operations of power grids and electricity markets are known to critically depend on solving large-scale, complex optimization problems based on various data streams. Recently, the rise of extreme weather conditions has further challenged the operational landscape, due the weather dependent variability (cloud covers, wind lulls, etc.) as well as the potential damage of the physical assets/infrastructure. For example, the recent FERC order 896 acknowledges this and has directed more efforts to revise and improve the transmission planning standards for maintaining the grid reliability level. This panel will focus on the recent advances of machine learning (ML) and artificial intelligence (AI) that can address the complexity of real-time grid optimization problems and integrate with the latest weather forecasting methods. We will have a lineup of diverse speakers from academia, national labs, ISOs, and relevant industry solution-providers.
The operations of power grids and electricity markets are known to critically depend on solving large-scale, complex optimization problems based on various data streams. Recently, the rise of extreme weather conditions has further challenged the operational landscape, due the weather dependent variability (cloud covers, wind lulls, etc.) as well as the potential damage of the physical assets/infrastructure. For example, the recent FERC order 896 acknowledges this and has directed more efforts to revise and improve the transmission planning standards for maintaining the grid reliability level. This panel will focus on the recent advances of machine learning (ML) and artificial intelligence (AI) that can address the complexity of real-time grid optimization problems and integrate with the latest weather forecasting methods. We will have a lineup of diverse speakers from academia, national labs, ISOs, and relevant industry solution-providers.
IEEE PES Workforce Initiative: Industry and Academic Perspectives on Recruitment and Retention of Power Engineers
Creators: Masood Parvania
Marina Mondello
Joseph Nyangon
Mark Carpenter
Stacy O'Brien
Debbie Brodt-Giles
Raj Beasla
Publisher: name: IEEE
Year: 2024

The Power Industry is undergoing remarkable transitions driven mainly by decarbonization and the resulting intensified electrification and grid modernization. The need for a qualified workforce to tackle these challenges has been pointed out as a top priority by major power industry professionals. This Workforce panel comprised of academia and industry leaders will discuss the challenges and opportunities, unique solutions, and ideas for collaboration between academia, industry, and IEEE.
The Power Industry is undergoing remarkable transitions driven mainly by decarbonization and the resulting intensified electrification and grid modernization. The need for a qualified workforce to tackle these challenges has been pointed out as a top priority by major power industry professionals. This Workforce panel comprised of academia and industry leaders will discuss the challenges and opportunities, unique solutions, and ideas for collaboration between academia, industry, and IEEE.
Scoping and Execution Monitoring for IoT Middleware
Creators: name: Fuentes Carranza, Juan Carlos
Publisher: name: Graduate Studies
Year: 2018
Subjects: subject: Internet of Things
subject: Execution Monitor
subject: Middleware
subject: Scoping
subject: Computer Science

description: Existing Internet of Things architectures rely on middleware (cloud services) to host coordination logic among devices. This middleware is based on Event Based Systems where the Broker architecture and the Publish/Subscribe design pattern are used to deal with heterogeneous environments and for decoupling purposes, being the MQTT protocol one of the most extensively used Event Based Systems for Internet of Things Solutions. Two prominent security issues in these type middleware are: possible network interruptions between devices and the middleware, and potentially compromised devices. This thesis proposes Scoping and Execution Monitoring in Event Based Systems to cope with possible network disconnections, and to deal with misbehavior of faulty or compromised devices. I define a mathematical model for Event Based Systems where the interplay between Scoping and Execution monitoring is formalized, and empirically evaluate the performance of these security mechanisms.
Percolation of secret correlations in a network
Creators: name: Leverrier, Anthony
name: Garcia-Patron, Raul
Publisher: name: arXiv
Year: 2011
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In this work, we explore the analogy between entanglement and secret classical correlations in the context of large networks, more precisely the question of percolation of secret correlations in a network. It is known that entanglement percolation in quantum networks can display a highly nontrivial behavior depending on the topology of the network and on the presence of entanglement between the nodes. Here we show that this behavior, thought to be of a genuine quantum nature, also occurs in a classical context.
description: 6 pages, 3 figures
Particle Acceleration at a Flare Termination Shock: Effect of Large-scale Magnetic Turbulence
Creators: name: Guo, Fan
name: Giacalone, Joe
Publisher: name: arXiv
Year: 2012
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Space Physics (physics.space-ph)
subject: FOS: Physical sciences

description: We investigate the acceleration of charged particles (both electrons and protons) at collisionless shocks predicted to exist in the vicinity of solar flares. The existence of standing termination shocks has been examined by flare models and numerical simulations e.g., Shibata,Forbes. We study electron energization by numerically integrating the equations of motion of a large number of test-particle electrons in the time-dependent two-dimensional electric and magnetic fields generated from hybrid simulations (kinetic ions and fluid electron) using parameters typical of the solar flare plasma environment. The shock is produced by injecting plasma flow toward a rigid piston. Large-scale magnetic fluctuations -- known to exist in plasmas and known to have important effects on the nonthermal electron acceleration at shocks -- are also included in our simulations. For the parameters characteristic of the flaring region, our calculations suggest that the termination shock formed in the reconnection outflow region (above post-flare loops) could accelerate electrons to a kinetic energy of a few MeV within 100 ion cyclotron periods, which is of the order of a millisecond. Given a sufficient turbulence amplitude level ($δB^2/B_0^2 \sim 0.3$), about 10% of thermal test-particle electrons are accelerated to more than 15 keV. We find that protons are also accelerated, but not to as high energy in the available time and the energy spectra are considerably steeper than that of the electrons for the parameters used in our simulations. Our results are qualitatively consistent with the observed hard X-ray emissions in solar flares.
description: 9 pages, 6 figures. Corrected references. ApJ in press
Swarm Learning for decentralized and confidential clinical machine learning
Creators: name: Michael Backes
name: Et Al
Publisher: name: CISPA
Year: 2023

description: Fast and reliable detection of patients with severe and heterogeneous illnesses is a major goal of precision medicine. Patients with leukaemia can be identified using machine learning on the basis of their blood transcriptomes. However, there is an increasing divide between what is technically possible and what is allowed, because of privacy legislation. Here, to facilitate the integration of any medical data from any data owner worldwide without violating privacy laws, we introduce Swarm Learning—a decentralized machine-learning approach that unites edge computing, blockchain-based peer-to-peer networking and coordination while maintaining confidentiality without the need for a central coordinator, thereby going beyond federated learning. To illustrate the feasibility of using Swarm Learning to develop disease classifiers using distributed data, we chose four use cases of heterogeneous diseases (COVID-19, tuberculosis, leukaemia and lung pathologies). With more than 16,400 blood transcriptomes derived from 127 clinical studies with non-uniform distributions of cases and controls and substantial study biases, as well as more than 95,000 chest X-ray images, we show that Swarm Learning classifiers outperform those developed at individual sites. In addition, Swarm Learning completely fulfils local confidentiality regulations by design. We believe that this approach will notably accelerate the introduction of precision medicine.
Cleptes auratus Linnaeus
Creators: name: Paukkunen, Juho
name: Rosa, Paolo
name: Soon, Villu
name: Johansson, Niklas
name: Ødegaard, Frode
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Eulophidae
Cleptes
Cleptes auratus

description: 1. Cleptes auratus Linnaeus
Kawall (1866b: 155) reported this taxon as “ Cleptes auratus L.” from Livonia, Puze (“Livland, Pussen”, currently Latvia). The meaning of the name is uncertain, but probably it was meant to be Cleptes semiauratus (Linnaeus, 1761).
description: Published as part of Paukkunen, Juho, Rosa, Paolo, Soon, Villu, Johansson, Niklas & Ødegaard, Frode, 2014, Faunistic review of the cuckoo wasps of Fennoscandia, Denmark and the Baltic countries (Hymenoptera: Chrysididae), pp. 1-67 in Zootaxa 3864 (1) on page 54, DOI: 10.11646/zootaxa.3864.1.1, http://zenodo.org/record/4930433
Cybersecurity and Resiliency for EV Charging Infrastructure
Creators: Manimaran Govindarasu
Chen-Ching Liu
Deepa Kundur
Junho Hong
Francis K. Tuffner
Publisher: name: IEEE
Year: 2024

In recent years, the smart grid has been witnessing major transformations that include high penetration of distributed energy resources (DERs) such as wind and solar energy sources, energy storage, electric vehicles (EVs), and microgrids. The increasing adoption of modern cyber technologies—such as advanced sensors, edge computing devices, smart controllers, cloud computing, and IoT technologies—will enable the successful deployment of DERs. While these cyber technologies offer major benefits, they also significantly expand the attack surface to the grid infrastructure. In the past several years, PES panels have focused on the cybersecurity and resiliency of bulk power systems and DERs. In this panel, we will specifically focus on the cybersecurity and resiliency of the EV charging infrastructure.  In particular, the cybersecurity of EVs, charging stations, charging management systems, communication protocols, cloud connectivity, and the resiliency of the EV-integrated distribution grid.  This panel will assemble researchers and academics from universities and national laboratories who have vast expertise in smart grid, EVs, DERs, and cybersecurity. The goal of this panel is to share knowledge and discuss R&D challenges, innovative technological solutions, and industry standards. The panel will benefit academic researchers, research professionals, and industry practitioners in the IEEE PES community.
In recent years, the smart grid has been witnessing major transformations that include high penetration of distributed energy resources (DERs) such as wind and solar energy sources, energy storage, electric vehicles (EVs), and microgrids. The increasing adoption of modern cyber technologies—such as advanced sensors, edge computing devices, smart controllers, cloud computing, and IoT technologies—will enable the successful deployment of DERs. While these cyber technologies offer major benefits, they also significantly expand the attack surface to the grid infrastructure. In the past several years, PES panels have focused on the cybersecurity and resiliency of bulk power systems and DERs. In this panel, we will specifically focus on the cybersecurity and resiliency of the EV charging infrastructure.  In particular, the cybersecurity of EVs, charging stations, charging management systems, communication protocols, cloud connectivity, and the resiliency of the EV-integrated distribution grid.  This panel will assemble researchers and academics from universities and national laboratories who have vast expertise in smart grid, EVs, DERs, and cybersecurity. The goal of this panel is to share knowledge and discuss R&D challenges, innovative technological solutions, and industry standards. The panel will benefit academic researchers, research professionals, and industry practitioners in the IEEE PES community.
A Formal Security Analysis of the Signal Messaging Protocol
Creators: name: Cohn-Gordon, Katriel
name: Cremers, Cas
name: Dowling, Benjamin
name: Garratt, Luke
name: Stebila, Douglas
Publisher: name: CISPA
Year: 2023

description: The Signal protocol is a cryptographic messaging protocol that provides end-to-end encryption for instant messaging in WhatsApp, Wire, and Facebook Messenger among many others, serving well over 1 billion active users. Signal includes several uncommon security properties (such as “future secrecy” or “post-compromise security”), enabled by a technique called ratcheting in which session keys are updated with every message sent. We conduct a formal security analysis of Signal’s initial extended triple Diffie-Hellman (X3DH) key agreement and Double Ratchet protocols as a multi-stage authenticated key exchange protocol. We extract from the implementation a formal description of the abstract protocol, and define a security model which can capture the “ratcheting” key update structure as a multi-stage model where there can be a “tree” of stages, rather than just a sequence. We then prove the security of Signal’s key exchange core in our model, demonstrating several standard security properties. We have found no major flaws in the design, and hope that our presentation and results can serve as a foundation for other analyses of this widely adopted protocol.
Novel Computing Platforms for Integration of Renewable Energy Sources
Creators: Chun Sing Lai
Alfredo Vaccaro
Zuzhao Ye
Publisher: name: IEEE
Year: 2024

This panel presents the latest development and best practices of novel high-performance computing systems for the integration of renewable energy sources. The quantity and heterogeneity of data generated from renewable energy sources and electric vehicle charging in smart grids have increased significantly over the years. Edge devices, including smart meters, have created significant processing demands on cloud computing systems and centralized control for data processing and storage in real-time operation and control. The panel session will demonstrate that advanced computing systems will enhance distribution and transmission system planning and operation, which will reduce system costs and increase efficiency. There is a need to adopt edge computing techniques to increase processing power, improve data security, and reduce communication burdens. Specific details of US, European, and further international R&D activities will also be presented.
This panel presents the latest development and best practices of novel high-performance computing systems for the integration of renewable energy sources. The quantity and heterogeneity of data generated from renewable energy sources and electric vehicle charging in smart grids have increased significantly over the years. Edge devices, including smart meters, have created significant processing demands on cloud computing systems and centralized control for data processing and storage in real-time operation and control. The panel session will demonstrate that advanced computing systems will enhance distribution and transmission system planning and operation, which will reduce system costs and increase efficiency. There is a need to adopt edge computing techniques to increase processing power, improve data security, and reduce communication burdens. Specific details of US, European, and further international R&D activities will also be presented.
Personalized and Socialized Need for Power: Scale Construction and Validation
Creators: name: Lee, Naomi
Publisher: name: Arts
Year: 2018
Subjects: subject: need for power
subject: nPower
subject: socialized
subject: personalized
subject: Leadership
subject: Education--Business
subject: Education--Industrial
subject: Sociology--Organizational
subject: Psychology
subject: FOS: Psychology

description: This present study developed psychometrically sound measures of personalized need for Power (nPower) and socialized nPower, and examined the nomological network around these two constructs, by determining the antecedents and consequences of these two sides of nPower. High scores on personalized nPower indicate a high desire to influence others for self-serving means. Conversely, high scores on socialized nPower indicate a high desire to influence others for prosocial, other-serving means. Study 1 focused on item generation and content validation with SMEs. Study 2 focused on refining the final 18-item measure and testing the hypothesized factor structure among a sample of 206 full-time employees spanning various organizations and industries. Overall, the present research suggests that personalized and socialized nPower have factor structures consistent with theory, generates reliable data, is a valid measure, and both nPowers correlate meaningfully with a number of traits (e.g., Honesty Humility) as well as outcomes (i.e., Impression Management).
Foreign language portfolio and EU funded foreign language courses in Poland
Creators: name: Sikora-Gaca, Małgorzata
Publisher: name: figshare
Year: 2020
Subjects: subject: 130205 Humanities and Social Sciences Curriculum and Pedagogy (excl. Economics, Business and Management)
subject: FOS: Educational sciences

description: Due to globalization processes, the importance of the knowledge of foreign languages in almost every field
of professional and private life is constantly growing. This has had an impact on the policy of many international
institutions, including those in the European Union. Supporting language pluralism has been an explicit
aim of the European strategy for multilingualism since 2008. The following paper presents the results of
an interdisciplinary research study initiated by representatives of two different fields of science: linguistics
and political science. Among the generation of young people aged between 18-24, who belong to the so-called
Generation Z (White 2017: 224) and were brought up as EU citizens, the study points to a conflict between
the perception of foreign language skills and opportunities to develop them using EU funds. The research
aims to analyze the awareness of the EU language policy in Poland, combining questions related to people’s
foreign language portfolio and knowledge about existing possibilities of learning foreign languages, as well
as the ability to obtain external financing. The survey was conducted among 100 students of linguistic and
non-linguistic studies and enabled the formulation of initial conclusions that are the basis for further research.
In vitro antimicrobial potential of medicinal plants from East Kalimantan against Streptococcus sobrinus and Prophyromonas gingivalis
Creators: name: Saat Egra
name: Mitsunaga, Tohru
name: Harlinda  Kuspradini
Publisher: name: F1000 Research Limited
Year: 2019

description: Introduction: There are many traditional knowledge practices related to natural fibers in Indonesia. Indonesia has a lot of traditional tribes, every tribe also has an own treat toward oral pathogenic. Almost all of their medicinal resources derive from natural products. Natural products have long been implemented as alternative health care treatment and in the discovery of modern drugs. Commonly, the local tribes use plants as general functions against diseases such as scabies, wounds, fever, swollen gums, toothache, sprue and so on. Although the extensive uses, there have been only limited attempts to explore the biological function of the plant in relation to their medicinal uses. Therefore, this research aimed to examine the bioactivity on antimicrobial from several medicinal plants in East Kalimantan, Indonesia. These samples collected from the local tribes have the potential of medicine of oral disease.