cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Reviewing the new IEEE C37.250 Guide for Engineering, Implementation, and Management of System Integrity Protection Schemes (TR101)
Creators: Chair: Gene HennebergMembers and Contributors: Yi Hu
Robin Byun
Fernando Calero
Peiman Dadkhah
Alfredo De La Quintana
Ramakrishna Gokaraju
Erin Jessup
Vahid Madani
Mehrdad Majidi
Dean Miller
Wladimir Quishpe
Publisher: name: IEEE
Year: 2022

This paper summarizes the IEEE Std C37.250TM-2020, “IEEE Guide for Engineering, Implementation, and Management of System Integrity Protection Schemes” (SIPS).  SIPS have been widely used to address power system reliability and other power system operating problems.  In the recent past, regulatory authorities such as NERC have developed reliability requirements that several types of SIPS, e.g. RAS, UVLS and UFLS, must meet.  This new guide is the first that provides a comprehensive collection of the practical concepts and approaches used to engineer, implement, and manage highly dependable and secure SIPS to meet such regulatory reliability requirements. High reliability is critical for SIPS to avoid cascading outages, equipment damage from unanticipated power system conditions beyond equipment emergency ratings, voltage collapse, angular instability, or other system problems beyond clearing of equipment faults.  In addition, the Guide outlines design processes and considerations that will facilitate continued SIPS operation, maintenance, and modifications over the life of the scheme.
This paper summarizes the IEEE Std C37.250TM-2020, “IEEE Guide for Engineering, Implementation, and Management of System Integrity Protection Schemes” (SIPS).  SIPS have been widely used to address power system reliability and other power system operating problems.  In the recent past, regulatory authorities such as NERC have developed reliability requirements that several types of SIPS, e.g. RAS, UVLS and UFLS, must meet.  This new guide is the first that provides a comprehensive collection of the practical concepts and approaches used to engineer, implement, and manage highly dependable and secure SIPS to meet such regulatory reliability requirements. High reliability is critical for SIPS to avoid cascading outages, equipment damage from unanticipated power system conditions beyond equipment emergency ratings, voltage collapse, angular instability, or other system problems beyond clearing of equipment faults.  In addition, the Guide outlines design processes and considerations that will facilitate continued SIPS operation, maintenance, and modifications over the life of the scheme.
A Sparse-Sparse Iteration for Computing a Sparse Incomplete Factorization of the Inverse of an SPD Matrix
Creators: name: Salkuyeh, Davod Khojasteh
name: Toutounian, Faezeh
Publisher: name: arXiv
Year: 2008
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: 65F10, 65F50

description: In this paper, a method via sparse-sparse iteration for computing a sparse incomplete factorization of the inverse of a symmetric positive definite matrix is proposed. The resulting factorized sparse approximate inverse is used as a preconditioner for solving symmetric positive definite linear systems of equations by using the preconditioned conjugate gradient algorithm. Some numerical experiments on test matrices from the Harwell-Boeing collection for comparing the numerical performance of the presented method with one available well-known algorithm are also given.
description: 15 pages, 1 figure
title: The Interactive Effects of Brain-Derived Neurotrophic Factor (BDNF) Polymorphisms and Posttraumatic Stress Disorder on Neurocognitive Functioning in U.S. Military Veterans
Creators: name: Rippey, Colton
Publisher: name: University of Kentucky Libraries
Year: 2021
Subjects: subject: FOS: Psychology
valueUri: http://www.oecd.org/science/inno/38235147.pdf

description: Posttraumatic Stress Disorder (PTSD) is associated with mild-to-moderate deficits in neurocognitive functioning. Single nucleotide polymorphisms (SNPs) in the brain-derived neurotrophic factor (BDNF) gene, namely, the Met allele, may also be associated with mild deficits in neurocognitive functioning. However, findings are inconsistent and may be sensitive to environmental epigenetic moderators such as psychopathology.

The current study analyzed data from European-American U.S. military veterans (n = 1,244) who participated in the 2011 National Health and Resilience in Veterans Study (NHRVS). Multivariate analyses of covariances were conducted to evaluate the unique and interactive effects of the Met allele and probable PTSD on objective and subjective neurocognitive functioning.

Significant (p ≤ .001) interactions between Met allele carrier status and probable PTSD were observed in objective (ηp2 = .028) and subjective neurocognitive functioning (ηp2 = .029). In individuals without PTSD (n = 1113), the Met allele was not significantly associated with objective neurocognitive functioning (p = .01, ηp2 = .013) or subjective neurocognitive functioning (p = .17, ηp2 = .009). In individuals with PTSD (n = 131), the Met allele was significantly (p < .01) associated with poorer objective (ηp2 = .179) and subjective neurocognitive functioning (ηp2 = .237).

These findings suggest that associations between the Met allele and neurocognitive functioning are dependent on the presence of PTSD.
description: © 2021 Colton Shafer Rippey
Predicting CMEs using ELEvoHI with STEREO-HI beacon data
Creators: name: Bauer, Maike
name: Amerstorfer, Tanja
name: Hinterreiter, Jürgen
name: Weiss, Andreas J.
name: Davies, Jackie A.
name: Möstl, Christian
name: Amerstorfer, Ute V.
name: Reiss, Martin A.
name: Harrison, Richard A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Space Physics (physics.space-ph)
subject: FOS: Physical sciences

description: Being able to accurately predict the arrival of coronal mass ejections (CMEs) at Earth has been a long-standing problem in space weather research and operations. In this study, we use the ELlipse Evolution model based on Heliospheric Images (ELEvoHI) to predict the arrival time and speed of 10 CME events that were observed by HI on the STEREO-A spacecraft between 2010 and 2020. Additionally, we introduce a Python tool for downloading and preparing STEREO-HI data, as well as tracking CMEs. In contrast to most previous studies, we use not only science data, which has a relatively high spatial and temporal resolution, but also low-quality beacon data, which is - in contrast to science data - provided in real-time by the STEREO-A spacecraft. We do not use data from the STEREO-B spacecraft. We get a mean absolute error of 8.81 $\pm$ 3.18 h / 59 $\pm$ 31 kms$^{-1}$ for arrival time/speed predictions using science data and 11.36 $\pm$ 8.69 h / 106 $\pm$ 61 kms$^{-1}$ for beacon data. We find that using science data generally leads to more accurate predictions, but using beacon data with the ELEvoHI model is certainly a viable choice in the absence of higher resolution real-time data. We propose that these differences could be minimized if not eliminated altogether if higher quality real-time data was available, either by enhancing the quality of the already available data or coming from a new mission carrying a HI instrument on-board.
description: 25 pages, 9 figures, submitted to AGU Space Weather 2021 August 9, published in Space Weather 2021 December 3
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search
Creators: name: Hegde, Kartik
name: Tsai, Po-An
name: Huang, Sitao
name: Chandra, Vikas
name: Parashar, Angshuman
name: Fletcher, Christopher W.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Hardware Architecture (cs.AR)
subject: FOS: Computer and information sciences

description: Modern day computing increasingly relies on specialization to satiate growing performance and efficiency requirements. A core challenge in designing such specialized hardware architectures is how to perform mapping space search, i.e., search for an optimal mapping from algorithm to hardware. Prior work shows that choosing an inefficient mapping can lead to multiplicative-factor efficiency overheads. Additionally, the search space is not only large but also non-convex and non-smooth, precluding advanced search techniques. As a result, previous works are forced to implement mapping space search using expert choices or sub-optimal search heuristics. This work proposes Mind Mappings, a novel gradient-based search method for algorithm-accelerator mapping space search. The key idea is to derive a smooth, differentiable approximation to the otherwise non-smooth, non-convex search space. With a smooth, differentiable approximation, we can leverage efficient gradient-based search algorithms to find high-quality mappings. We extensively compare Mind Mappings to black-box optimization schemes used in prior work. When tasked to find mappings for two important workloads (CNN and MTTKRP), the proposed search finds mappings that achieve an average $1.40\times$, $1.76\times$, and $1.29\times$ (when run for a fixed number of steps) and $3.16\times$, $4.19\times$, and $2.90\times$ (when run for a fixed amount of time) better energy-delay product (EDP) relative to Simulated Annealing, Genetic Algorithms and Reinforcement Learning, respectively. Meanwhile, Mind Mappings returns mappings with only $5.32\times$ higher EDP than a possibly unachievable theoretical lower-bound, indicating proximity to the global optima.
description: Appears in the proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS '21), April 19-23, 2021, Virtual, USA
Design of a Battery Energy Management System for Capacity Charge Reduction
Creators: Di Wu
Xu Ma
Tao Fu
Zhangshuan Hou
P. J. Rehm
and Ning Lu
Publisher: name: IEEE
Year: 2022

This paper presents a novel dispatch and evaluation framework for battery energy storage systems to minimize a load servicing entity's coincident demand during system peak hours.
This paper presents a novel dispatch and evaluation framework for battery energy storage systems (BESSs) to minimize a load servicing entity's coincident demand during system peak hours. The framework consists of i) a two-step BESS dispatch process that accounts for uncertainties in forecasting system peak and using limited battery cycle life, and ii) procedures to design control parameters, determine BESS duration, and estimate the corresponding net benefits. In the proposed dispatch, a rule-based triggering mechanism is executed to determine whether to dispatch a BESS on an operating day by comparing the peak-day probability with a predetermined threshold. Once the dispatch is triggered, a model predictive control is carried out to maximize the expected reduction in peak demand. By exercising this two-step dispatch method with different thresholds, one can explore the trade-off between peak demand reduction effectiveness and loss of battery life, and thereby identify the optimal thresholds to maximize cumulative economic benefits. Case studies are conducted using the data provided by utilities in North Carolina. Simulation results are presented to demonstrate the effectiveness of the proposed method.
Slides for: Decentralized  Personal Data Management: A Blockchain-Based  Solution
Creators: Dr. Nguyen Truong
Publisher: name: IEEE
Year: 2022

Slides for: SPS Webinar, September 6, 2022, Dr. Nguyen Truong
With the blooming of AI and machine-learning -based data-hungry applications and services, managing personal data and ensuring data privacy and security have become critical challenges. Data protection legislation such as the GDPR in the EU/UK and Data Protection Acts (e.g., HIPAA, DPPA, and COPPA) in the USA have been enforced as legal frameworks to regulate activities over personal data. However, such regulations only lay out a framework with abstract principles of how personal data shall be managed without technological solutions, thus, open to interpretation and implementation. Importantly, the verification of the compliance, performed by a supervisory authority, is irregularly conducted. Therefore, it is challenging to certify  that a service provider has been continuously adhering to the GDPR and to gain trust from clients.
In the meantime, it is fascinating to witness the recent growth of decentralized  applications and services and what Blockchain, Smart Contracts, and advanced cryptography technologies can do. Such state-of-the-art technologies have the potential to solve many problems in conventional data processing and management and would have a remarkable impact on improving data privacy and security as well as creating a trustworthy applications and services ecosystem. This talk focuses on envisioning a design concept and developing a decentralized personal data management platform built on top of a Blockchain (e.g., Ethereum or Hyperledger Fabric) that naturally complies with the data protection legislation.
Optimal Reconfiguration and Resilient Control Framework for Real-Time Photovoltaic Dispatch to Manage Critical Infrastructure P3 (Slides)
Creators: Sukumar Kamalasadan
Satyajayant Jay Misra
Humberto E. Garcia
Publisher: name: IEEE
Year: 2022

In this webinar, we will discuss the Cyber security and communication aspect of the U.S. Department of Energy (DOE) project related to Optimal Reconfiguration and Resilient Control Framework for Real-Time Photovoltaic Dispatch to Manage Critical Infrastructure (ReDis-PV).

The project will develop a grid management tool that detects cyber and physical threats, and forms dynamic clusters to optimally manage photovoltaic and energy. The core of the project that allows management and control of DERs to support critical infrastructure is the main theme of the presentation.

This webinar includes the tool's capability to detect cyber and physical threats and mitigation strategies that have been deployed to overcome the threats. Also, in this webinar, the tool's capability to make the controller resilient to threats is discussed.
In this webinar, we will discuss the Cyber security and communication aspect of the U.S. Department of Energy (DOE) project related to Optimal Reconfiguration and Resilient Control Framework for Real-Time Photovoltaic Dispatch to Manage Critical Infrastructure (ReDis-PV).

The project will develop a grid management tool that detects cyber and physical threats, and forms dynamic clusters to optimally manage photovoltaic and energy. The core of the project that allows management and control of DERs to support critical infrastructure is the main theme of the presentation.

This webinar includes the tool's capability to detect cyber and physical threats and mitigation strategies that have been deployed to overcome the threats. Also, in this webinar, the tool's capability to make the controller resilient to threats is discussed.
Versatile electronic states in epitaxial thin films of (Sn-Pb-In)Te: from topological crystalline insulator and polar semimetal to superconductor
Creators: name: Yoshimi, Ryutaro
name: Masuko, Makoto
name: Ogawa, Naoki
name: Kawamura, Minoru
name: Tsukazaki, Atsushi
name: Takahashi, Kei S.
name: Kawasaki, Masashi
name: Tokura, Yoshinori
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Epitaxial thin films of (Sn$_{x}$Pb$_{1-x}$)$_{1-y}$In$_{y}$Te were successfully grown by molecular-beam-epitaxy (MBE) in a broad range of compositions (0 $\leq$ x $\leq$ 1, 0 $\leq$ y $\leq$ 0.23). We investigated electronic phases of the films by the measurements of electrical transport and optical second harmonic generation. In this system, one can control the inversion of band gap, the electric polarization that breaks the inversion symmetry, and the Fermi level position by tuning the Pb/Sn ratio and In composition. A plethora of topological electronic phases are expected to emerge, such as topological crystalline insulator, topological semimetal, and superconductivity. For the samples with large Sn compositions (x > 0.5), hole density increases with In composition (y), which results in the appearance of superconductivity. On the other hand, for those with small Sn compositions (x < 0.5), increase in In composition reduces the hole density and changes the carrier type from p-type to n-type. In a narrow region centered at (x, y) = (0.16, 0.07) where the n-type carriers are slightly doped, charge transport with high mobility exceeding 5,000 cm$^{2}$V$^{-1}$s$^{-1}$ shows up, representing the possible semimetal states. In those samples, the optical second harmonic generation measurement shows the breaking of inversion symmetry along the out-of-plane [111] direction, which ensures the presence of polar semimetal state. The thin films of (Sn$_{x}$Pb$_{1-x}$)$_{1-y}$In$_{y}$Te materials systems with a variety of electronic states would become a promising materials platform for the exploration of novel quantum phenomena.
The jamming transition and new percolation universality classes in particulate systems with attraction
Creators: name: Lois, Gregg
name: Blawzdziewicz, Jerzy
name: O'Hern, Corey S.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We numerically study the jamming transition in particulate systems with attraction by investigating their mechanical response at zero temperature. We find three regimes of mechanical behavior separated by two critical transitions--connectivity and rigidity percolation. The transitions belong to different universality classes than their lattice counterparts, due to force balance constraints. We also find that these transitions are unchanged at low temperatures and resemble gelation transitions in experiments on colloidal and silica gels.
description: 4 pages, 2 figures, 2 tables
Stator Flux-Regulatory Excitation Control in Converter-Fed Synchronous Machines for Pumped-Storage Variable-Speed Hydropower
Creators: Jørgen Hagset Stavnesli and Jonas Kristiansen Nøland
Publisher: name: IEEE
Year: 2022

This paper presents a stator flux control method for regulating variable-speed hydropower plants in a more efficient way by adjusting the field current to prevent the machine from operating with over-magnetization independent of loading condition, as well as better utilizing the stator-fed converter current.
Pumped-storage hydropower is seen as a promising solution for efficient, large-scale energy storage. One competitive technical solution is the variable-speed hydropower plant (VSHP) configured with a converter-fed synchronous machine (CFSM). These machines are operated with one extra degree of freedom that is not usually optimized, where the CFSM's rotor-side DC excitation interacts with the stator-side AC excitation. Depending on machine loading, the CFSM will be utilized in conditions far from its original design. In order to deal with this issue, this paper presents a stator flux control (SFC) method for regulating VSHPs in a more efficient way by adjusting the field current to prevent the machine from operating with over-magnetization independent of loading condition, as well as better utilizing the stator-fed converter current. Also, the CFSM reduces its rotor current losses and extra stator losses from saturated iron. The derived first-principle analytical equations for the proposed SFC have been validated and analyzed in the Matlab/Simulink environment for a large 45 MVA, 375 rpm CFSM, with the measured saturation curve as input. Finally, dynamic transitions between different levels of pumping power reveal the SFC's ability to help to maintain a unity stator flux in the machine, enabling optimal operation independent of loading level.
Ghana's Agricultural Economy in Brief
Creators: name: Branham, Margaret A.
name: Branham, Margaret A.
Publisher: name: Unknown
Year: 1968
Subjects: Agricultural and Food Policy
Crop Production/Industries
Food Consumption/Nutrition/Food Safety
International Development
International Relations/Trade

description: Excerpts from the report: The agricultural sector is the most important in Ghana's economy, accounting for approximately 30 percent of the gross domestic product. Farm commodities make up 70 percent of the value of Ghana's total exports. Within the agricultural sector, cocoa is the main cash crop. One-third of the value of agricultural production and two-thirds of export earnings are provided by cocoa. Ghana is the world's largest producer of cocoa, contributing about 30 percent of total production. The United States is Ghana's best market for cocoa products; such imports were valued at $40 million in 1967. U.S. agricultural exports to Ghana include rice, wheat flour, cotton, and inedible tallow.
ДОПЛЕРОГРАФИЯ В ДИАГНОСТИКЕ МАТОЧНЫХ КРОВОТЕЧЕНИЙ
Creators: name: Абдуллаева, Нина
Publisher: name: Zenodo
Year: 2024

description: В данной статье мы рассмотрим принципы ультразвуковой допплерографии, ее возможности в определении причин кровотечений, а также роль этого метода в оценке эффективности дифференциальной диагностики и лечения.
L’umano in questione / Human in question. Tra ecosofia e teriomorifismo, le derive della carne digitale
Creators: name: Andersen, Karin
Publisher: name: ECHO
Year: 2021

description: Not aivailable
description: ECHO, N. 3 (2021): Lo statuto dell’immagine nel XXI secolo: schermi, rappresentazioni, sparizioni
Power & Energy Magazine - Volume 20: Issue 4 - July-August 2022:  Building a Better Future
Creators: Jaquelin Cochran
Aaron Burdick
Marie-Ann Evans
Juha Kiviluoma
Sanem Sergici
Paul De Martini
Ken Dragoon
Publisher: name: IEEE
Year: 2022

Focusing on Decarbonization
Focusing on Decarbonization
Semiclassical approximation with zero velocity trajectories
Creators: name: Goldfarb, Yair
name: Degani, Ilan
name: David
name: Tannor, J.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We present a new semiclassical method that yields an approximation to the quantum mechanical wavefunction at a fixed, predetermined position. In the approach, a hierarchy of ODEs are solved along a trajectory with zero velocity. The new approximation is local, both literally and from a quantum mechanical point of view, in the sense that neighboring trajectories do not communicate with each other. The approach is readily extended to imaginary time propagation and is particularly useful for the calculation of quantities where only local information is required. We present two applications: the calculation of tunneling probabilities and the calculation of low energy eigenvalues. In both applications we obtain excellent agrement with the exact quantum mechanics, with a single trajectory propagation.
description: 16 pages, 7 figures
Power & Energy Magazine - Volume 20: Issue 3 - May/June 2022 :  Deep In Thought
Creators: Tao Hong
Arkadiusz Je?drzejewski
Spyros Chatzivasileiadis
Yan Du
Andrés M. Alonso
Lingling Fan
Publisher: name: IEEE
Year: 2022

Making inroads with artificial intelligence
Applying Artificial Intelligence in the Grid
Power & Energy Magazine - Volumen: 20  Número 2 - marzo/abril 2022 Un Camino de decisiones en expansion
Creators: Por Khashayar Mahani
Por Beth Reid
Por Olof Bystrom
Por Aleksi Paaso
Por Ali Golriz
Por Dennis Michaelson
Publisher: name: IEEE
Year: 2022

opciones competitivas planificación de inversiones en infraestructura
Argumentando el caso de las alternativas sin cables
SVILUPPO DI UN MODELLO DI SUPPORTO A DECISIONE PER LA GESTIONE DELL’OBSOLESCENZA PER RICAMBI CON ALTI LEAD TIMES DI PRODUZIONE E APPARTENENTI A SISTEMI CON LUNGHI CICLI DI VITA
Creators: name: Fera, Marcello
Publisher: name: Università degli Studi di Napoli Federico II
Year: 2008

description: La logistica dei ricambi, oggi giorno, per la continua espansione dei contratti global service relativo alla manutenzione degli impianti, sta assumendo sempre maggiore rilevanza nello studio della logistica ed della gestione dei materiali.
Nell’ambito della logistica industriale e del global service, in particolare, è presente un’ulteriore urgenza di studio e ricerca, relativa ai problemi connessi alla gestione logistica di pezzi di ricambio con problemi di obsolescenza tecnologica. Tale esigenza è estremamente sentita dai produttori di sistemi di difesa militare e civile, come i costruttori di sistemi radar, o più in generale di sistemi di rilevazione, controllo e difesa. 
L’obsolescenza tecnologica è un fenomeno che insorge nel momento in cui un sistema presenta un ciclo di vita più lungo di quello dei componenti, in esso contenuti, e ciò fa sì che il pezzo di ricambio diventi, in un dato istante della vita del sistema, non più reperibile sul mercato.
Attraverso un’analisi delle strutture di costo di gestione dell’obsolescenza ed attraverso la strutturazione di un modello di previsione di domanda è intenzione di tale lavoro proporre un modello di supporto a decisione, che aiuti i manager del global service a definire, in modo adeguato, le politiche di gestione dell’obsolescenza ed i dimensionamenti di scorta dei prodotti con alti lead time di produzione, che appartengono a sistemi complessi con lunghi cicli di vita e che presentino problemi di obsolescenza.
Conserving approximations in direct perturbation theory: new semianalytical impurity solvers and their application to general lattice problems
Creators: name: Grewe, Norbert
name: Schmitt, Sebastian
name: Jabben, Torben
name: Anders, Frithjof B.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: For the treatment of interacting electrons in crystal lattices approximations based on the picture of effective sites, coupled in a self-consistent fashion, have proven very useful. Particularly in the presence of strong local correlations, a local approach to the problem, combining a powerful method for the short ranged interactions with the lattice propagation part of the dynamics, determines the quality of results to a large extent. For a considerable time the non crossing approximation (NCA) in direct perturbation theory, an approach originally developed by Keiter for the Anderson impurity model, built a standard for the description of the local dynamics of interacting electrons. In the last couple of years exact methods like the numerical renormalization group (NRG) as pioneered by Wilson, have surpassed this approximation as regarding the description of the low energy regime. We present an improved approximation level of direct perturbation theory for finite Coulomb repulsion U, the crossing approximation one (CA1) and discuss its connections with other generalizations of NCA. CA1 incorporates all processes up to fourth order in the hybridization strength V in a self-consistent skeleton expansion, retaining the full energy dependence of the vertex functions. We reconstruct the local approach to the lattice problem from the point of view of cumulant perturbation theory in a very general way and discuss the proper use of impurity solvers for this purpose. Their reliability can be tested in applications to e.g. the Hubbard model and the Anderson-lattice model. We point out shortcomings of existing impurity solvers and improvements gained with CA1 in this context. This paper is dedicated to the memory of Hellmut Keiter.
description: 45 pages, 22 figures
Contributions on Symbolic Data Analysis:
A Model Data Approach.
Creators: name: Signoriello, Simona
Publisher: name: Università degli Studi di Napoli Federico II
Year: 2008

description: This work aims at analysing complex phenomena through the construction of appropriate models, followed by an analysis of the characteristic parameters of the models. It all derives from the need to work, not only with empirical values but with functions that are able to smooth the histogram and give us the possiblity to omit values
that could be outlier. According to the classical theory of measure, the data generated by a “correct” model are more “real” then the empirical one, because they are purified from error sampling and from error of measurement.
We should never forget that there are no “real” models, but rather models that approximate the reality in a more ore less accuracy. Models compatible with empirical data can be manifold.
The idea proposed in this thesis is to trasform the histogram data by means of an approximation function in order to control the error deriving from empirical data.
What we look for is the right compromise between model and error. Our target is to be able to work with models that are comparable in order to be able to apply the techniques of a Multidimensional Data Analysis. For that reason, all the histograms will be transformed into models through the approximation by means of functions of the same family. In that case we would work with data that have been synthesized
through a model, and from there we would obtain N models for
each variable, all corresponding to the i-th observation. Models constructed that way can be synthesized through parameters and through an appropriate quality index of adaptation. Successively we will pass
on to the analysis of the data achieved through adequate techniquesof Multidimensional Analysis.
Issues on magnon reflection
Creators: name: Palla, L.
Publisher: name: arXiv
Year: 2008
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Two questions related to reflections of magnons in AdS/CFT are discussed: namely the problem of explaining the (physical) poles of the reflection amplitudes using Landau type diagrams and the generalization of the Ghoshal-Zamolodchikov boundary state formalism to magnon reflections.
description: 25 pages 4 figures
Upper Volta's Agricultural Economy in Brief
Creators: name: Skinner, Snider W.
name: Skinner, Snider W.
Publisher: name: Unknown
Year: 1970
Subjects: Agricultural and Food Policy
Crop Production/Industries
International Development
International Relations/Trade
Land Economics/Use
Livestock Production/Industries

description: Report Summary: Upper Volta, hindered by lack of rainfall and by its landlocked position in West Africa, nevertheless is showing some signs of economic progress. Livestock production. Upper Volta's chief economic activity needs modernizing. Cotton production has risen sharply in recent years, but peanut production has remained about the same. Prospects for commercial production of sugar from sugarcane appear bright. Upper Volta’s foreign trade is small and has shown an adverse balance each year since the country became independent from France in 1960. Ivory Coast, Ghana, and France are Upper Volta's chief markets. France and Ivory Coast are the chief suppliers. Trade with the United States is small. Upper Volta is relatively self-sufficient in food. This is a major accomplishment. However, from time to time, Upper Volta suffers from droughts which cause local or widespread famine conditions.
Abstract Processes and Conflicts in Place/Transition Systems
Creators: name: van Glabbeek, Rob
name: Goltz, Ursula
name: Schicke-Uffmann, Jens-Wolfhard
Publisher: name: arXiv
Year: 2021
Subjects: subject: Logic in Computer Science (cs.LO)
subject: FOS: Computer and information sciences
subject: F.1.2

description: For one-safe Petri nets or condition/event-systems, a process as defined by Carl Adam Petri provides a notion of a run of a system where causal dependencies are reflected in terms of a partial order. Goltz and Reisig have generalised this concept for nets where places carry multiple tokens, by distinguishing tokens according to their causal history. However, this so-called individual token interpretation is often considered too detailed. Here we identify a subclass of Petri nets, called structural conflict nets, where no interplay between conflict and concurrency due to token multiplicity occurs. For this subclass, we define abstract processes as equivalence classes of Goltz-Reisig processes. We justify this approach by showing that there is a largest abstract process if and only if the underlying net is conflict-free with respect to a canonical notion of conflict.
description: The results of this paper appeared before in arXiv:2103.00729. However, there they were formulated differently, as we didn't have the current concept of a largest abstract process. Our proofs are conceptually much simpler than the ones in arXiv:2103.00729, as they are carried out directly on abstract processes, rather than via the auxiliary concepts of BD-runs and FS-runs. arXiv admin note: text overlap with arXiv:1103.5916
Power & Energy Magazine - Volumen: 20  - Número 3 - Mayo/Junio 2022
Creators: Por Tao Hong
Por Arkadiusz Je?drzejewski
Por Spyros Chatzivasileiadis
Por Yan Du
Por Andrés M. Alonso
Por Lingling Fan
Publisher: name: IEEE
Year: 2022

Avanzando con la inteligencia artificial
Aplicando Inteligencia Artificial en la Red
Early warning of coalescing neutron-star and neutron-star-black-hole binaries from nonstationary noise background using neural networks
Creators: name: Yu, Hang
name: Adhikari, Rana X.
name: Magee, Ryan
name: Sachdev, Surabhi
name: Chen, Yanbei
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: The success of the multi-messenger astronomy relies on gravitational-wave observatories like LIGO and Virgo to provide prompt warning of merger events involving neutron stars (including both binary neutron stars and neutron-star-black-holes), which further depends critically on the low-frequency sensitivity of LIGO as a typical binary neutron star stays in this band for minutes. However, the current sub-60 Hz sensitivity of LIGO has not yet reached its design target and the excess noise can be more than an order of magnitude below 20 Hz. It is limited by nonlinearly coupled noises from auxiliary control loops which are also nonstationary, posing challenges to realistic early-warning pipelines. Nevertheless, machine-learning-based neural networks provide ways to simultaneously improve the low-frequency sensitivity and mitigate its nonstationarity, and detect the real-time gravitational-wave signal with a very short computational time. We propose to achieve this by inputting both the main gravitational-wave readout and key auxiliary witnesses to a compound neural network. Using simulated data with characteristic representing the real LIGO detectors, our machine-learning-based neural networks can reduce nonlinearly coupled noise by about a factor of 5 and allows a typical binary neutron star (neutron-star-black-hole) to be detected 100 s (10 s) before the merger at a distance of 40 Mpc (160 Mpc). If one can further reduce the noise to the fundamental limit, our neural networks can achieve detection out to a distance of 80 Mpc and 240 Mpc for binary neutron stars and neutron-star-black-holes, respectively. It thus demonstrates that utilizing machine-learning-based neural networks is a promising direction for the timely detection of the coalescence of electromagnetically bright LIGO/Virgo sources.
description: 15 pages, 12 figures; to be submitted to PRD
Digital‐Fachtagung MECHATRONIK 2021 : Darmstadt, 24.-25.03.2021; 2. Auflage
Creators: name: Bertram, Torsten
name: Corves, Burkhard
name: Janschek, Klaus
name: Rinderknecht, Stephan
Publisher: name: RWTH Aachen University
Year: 2021

description: Digital‐Fachtagung VDI MECHATRONIK 2021, online, 24 Mar 2021 - 25 Mar 2021; Darmstadt : Universitäts- und Landesbibliothek 216 Seiten (2021). doi:10.18154/RWTH-2021-04923
description: Published by Universitäts- und Landesbibliothek, Darmstadt
Exact Cover with light
Creators: name: Oltean, Mihai
name: Muntean, Oana
Publisher: name: arXiv
Year: 2007
Subjects: subject: Hardware Architecture (cs.AR)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: We suggest a new optical solution for solving the YES/NO version of the Exact Cover problem by using the massive parallelism of light. The idea is to build an optical device which can generate all possible solutions of the problem and then to pick the correct one. In our case the device has a graph-like representation and the light is traversing it by following the routes given by the connections between nodes. The nodes are connected by arcs in a special way which lets us to generate all possible covers (exact or not) of the given set. For selecting the correct solution we assign to each item, from the set to be covered, a special integer number. These numbers will actually represent delays induced to light when it passes through arcs. The solution is represented as a subray arriving at a certain moment in the destination node. This will tell us if an exact cover does exist or not.
description: 20 pages, 4 figures, New Generation Computing, accepted, 2007
Structural and biochemical studies of MCM proteins
Creators: name: Medagli, Barbara
Publisher: name: Università degli Studi di Napoli Federico II
Year: 2010

description: The eukaryotic MCM2-7 replicative helicase is a hetero-complex composed by 6 homologues belonging to the AAA+ ATPase superfamily. These proteins form a ring-like structure which is essential for the initiation and the progression of the replication fork. In order to better understand the cellular role and mechanism of action of these proteins, I carried out structural and functional studies on two different systems: the archaeal MCM proteins, that forms a homomeric ring representing a simplified model of the eukaryotic complex, and the less well studied human MCM8, whose exact role in eukaryotic cells has not been elucidated.
MCM interacts in two ways with the DNA: the canonical "loaded" mode where the MCM protein is encircling the DNA, and a "associated" mode where the DNA is wrapped around the enzyme. Using the protein from the archaeon Methanothermobacter thermautotrophicum, I biochemically shown that binding of MCM proteins affect the degree of supercoiling of dsDNA and that subdomain A is crucial for this interaction. To determine the structure of the C-terminal domain of the MCM proteins, the less studied region, I produced three different constructs corresponding to the C terminus of the MCM proteins from M. thermoautotrophicum and Sulfolobus solfataricus. Despite a large effort using “high throughput” crystallisation techniques, no well diffracting crystals could be reproducibly obtained. An alternative structural biology approach has been adopted, using NMR analysis. Preliminary data are compatible with the bioinformatics prediction of a winged helix domain, but further work on isotope-labelled proteins is necessary for a full 3D characterisation.
Two other MCM proteins have been more recently described (MCM8 and MCM9): they are present in a variety of eukaryotic organisms, do not interact with the MCM2-7 complex and their function in the cell is still unknown. These protein are co-evolutionary related and it is conceivable that they have a functional link. I cloned and expressed in E. coli cells a large number of hMCM8 fragments: two of them (the N-terminus and the AAA+ domain) can be successfully expressed in soluble form and have been purified and used for biochemical assays. Both proteins forms dimers, bind ssDNA and the AAA+ catalytic domain displays ATPase activity. Further effort will be done to optimise the purification protocol to obtain proteins suitable for structural studies. In order to assess the hypothesis of a functional relationship between MCM8 and MCM9 proteins, a similarly extensive cloning strategy was applied to human MCM9, with the aim of obtaining constructs expressing a variety of fragments, to be co-expressed with the equivalent hMCM8 domains, and to test the formation of functional complexes.
SYNTHESIS AND ELABORATION OF MONO- AND OLIGO-SACCHARIDES
Creators: name: Pastore, Antonello
Publisher: name: Università degli Studi di Napoli Federico II
Year: 2010

description: This thesis has been addressed towards several issues of synthetic carbohydrate chemistry. Part of the work has focused on original approaches for the functionalization of mono- and oligo-saccharides through the regioselective de-O-benzylation of protected sugars based on the I2/Et3SiH combined system, the chemoselective removal of a range of alkoxycarbonyl groups from carbinols, and the straightforward access to 2-O-deprotected allyl glycosides by BiBr3-promoted activation of peracetylated glycosyl iodides.
In the second part of this work, two different sequential one-pot schemes for the rapid assembly of biologically relevant oligosaccharides have been reported. The first strategy allowed the the straightforward synthesis of the antitumor PI-88 pentasaccharide, while the second one afforded oligosaccharides related to HIV gp120.
Power & Energy Magazine - Volumen 20: Número 4 - Julio-agosto de 2022: Construyendo un futuro mejor
Creators: Por Tao Hong
Por Arkadiusz Je?drzejewski
Por Spyros Chatzivasileiadis
Por Yan Du
Por Andrés M. Alonso
Por Lingling Fan
Publisher: name: IEEE
Year: 2022

Centrándose en la descarbonización
Centrándose en la descarbonización
An Investigation into Psychodynamic Couple Psychotherapists' Theories of Sensate Focus in Clinical Practice
Creators: name: Pacey, Susan
Publisher: name: University of East London
Year: 2018

description: Since 1948, psychodynamic couple psychotherapy has treated sexual problems through the mind by using psychoanalytic, principally Kleinian theory to interpret partners' unconscious interaction. By contrast psychosexual therapy attempts to improve sexual relationships through the body, often using a behavioural programme of touching exercises known as “sensate focus” (Masters and Johnson, 1970b, p. 67). Remarkably a number of psychodynamic couple psychotherapists now incorporate sensate focus in their clinical work, combining these two seemingly incompatible approaches. Little is known about how these ‘dual’ psychotherapists think about integrating the two paradigms. This study sought to understand how these practitioners theorise their use of the exercise programme in couple work and thereby address this gap in the current field of knowledge. A qualitative methodology, including data analysis through interpretative phenomenological analysis (IPA), was completed with 10 participants in order to explore this under-researched area. Four superordinate themes with 14 subordinate themes were generated. Superordinate themes were: accessing anxieties about sexuality; facilitating couple development; working with possible manifestations of aggression; and challenging couple psychotherapists. The discussion of the results highlights psychoanalytic theories, mostly Winnicottian, informing participants’ perceptions of couples’ responses to sensate focus, the value that this intervention adds to the talking therapy, and participants’ assessments of contraindications for its use. The question as to whether there might be a ‘home’ for sensate focus within psychoanalysis is debated. It is proposed that the bodily intervention might be viewed as “interpretive action” (Ogden, 1994, p. 220). The study also indicated that participants had significant concerns about the inadequacies of professional trainings. These concerns included the avoidance of sex in psychotherapy and the teaching of sensate focus as a predominantly behavioural programme, universally applied to clients without due regard to its emotional-relational impact on partners. Finally, the study’s limitations are discussed and recommendations for action are offered.
AD1108537_ARL-TR-9036.pdf
Creators: name: O’Donnell, Ryan
name: Burnette, Alexis
name: Rohrabaugh, Thomas
Publisher: name: figshare
Year: 2021
Subjects: subject: 30306 Synthesis of Materials
subject: FOS: Chemical sciences
subject: Inorganic Chemistry
subject: 30503 Organic Chemical Synthesis

description: Army Research Laboratory Technical Report ARL-TR-9036
Microwave-assisted organic synthesis (MAOS) has gained popularity as a replacement for traditional methods of heating reaction vessels using sand or oil baths and hot plates. MAOS is advantageous due to the use of pressurized vessels that allow for superheating of solvents above their boiling points and the homogeneous distribution of heat within reaction vessels. The application of MAOS and automated column chromatography to the syntheses of cyclometalated iridium chromophores is described in detail for [Ir(pbt)2Cl]2 and [Ir(pbt)2(acac)], where pbt is 2-phenylbenzothiazole and acac is acetylacetonate. The reaction time was reduced to 5%–10% of the time required for reported literature procedures by employing MAOS. These results were found to be generally applicable to the general class of [Ir(C^N)2Cl]2 and [Ir(C^N)2(LX)] complexes, where C^N represents a cyclometalating ligand and LX an ancillary ligand. These reduced reaction times result in time and energy savings and allow for high-throughput chemical syntheses when combined with the use of an autosampler. Implementation of automated column chromatography resulted in the rapid, efficient purification of the target chromophores from crude product. Chemical characterization of the materials produced using MAOS demonstrate that the products are identical to those obtained using traditional methods.
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images
Creators: name: Dimitrov, Dimitar
name: Ali, Bishr Bin
name: Shaar, Shaden
name: Alam, Firoj
name: Silvestri, Fabrizio
name: Firooz, Hamed
name: Nakov, Preslav
name: Martino, Giovanni Da San
Publisher: name: arXiv
Year: 2021
Subjects: subject: Multimedia (cs.MM)
subject: Computation and Language (cs.CL)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: F.2.2; I.2.7
subject: 68T50

description: We describe SemEval-2021 task 6 on Detection of Persuasion Techniques in Texts and Images: the data, the annotation guidelines, the evaluation setup, the results, and the participating systems. The task focused on memes and had three subtasks: (i) detecting the techniques in the text, (ii) detecting the text spans where the techniques are used, and (iii) detecting techniques in the entire meme, i.e., both in the text and in the image. It was a popular task, attracting 71 registrations, and 22 teams that eventually made an official submission on the test set. The evaluation results for the third subtask confirmed the importance of both modalities, the text and the image. Moreover, some teams reported benefits when not just combining the two modalities, e.g., by using early or late fusion, but rather modeling the interaction between them in a joint model.
description: propaganda, disinformation, misinformation, fake news, memes, multimodality
Volume 10: Issue 2: Hydrogen-Electric Aircraft Technologies
Creators: Various
Publisher: name: IEEE
Year: 2022

Volume 10: Issue 2: Hydrogen-Electric Aircraft Technologies
Using hydrogen for electrification has many challenges. In this issue, Phillip Ansell, Kiruba Haran, and Panagiotis Laskaridis, three researchers active in the field of hydrogen electrification for aviation, present to the readers a comprehensive overview of the many challenges in hydrogen-electric aircraft technologies. The invited articles cover a broad range of topics, including system-level integration impacts at an aircraft conceptual level, storage strategies and cryogenic considerations of liquid hydrogen systems, and novel approaches to component designs for the power and energy drivetrain for hydrogen aircraft. In addition to the seven feature articles on hydrogen-electric aircraft, this issue includes the eighth feature article from Mohammad Shahidehpour and coauthors on using cloud computing to generate aggregated service for small-scale energy storage systems.