cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Interacting discovery processes on complex networks
Creators: name: Iacopini, Iacopo
name: Di Bona, Gabriele
name: Ubaldi, Enrico
name: Loreto, Vittorio
name: Latora, Vito
Publisher: name: arXiv
Year: 2020
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Social and Information Networks (cs.SI)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Innovation is the driving force of human progress. Recent urn models reproduce well the dynamics through which the discovery of a novelty may trigger further ones, in an expanding space of opportunities, but neglect the effects of social interactions. Here we focus on the mechanisms of collective exploration and we propose a model in which many urns, representing different explorers, are coupled through the links of a social network and exploit opportunities coming from their contacts. We study different network structures showing, both analytically and numerically, that the pace of discovery of an explorer depends on its centrality in the social network. Our model sheds light on the role that social structures play in discovery processes.
description: 22 pages, 4 figures, 1 table, Supplemental Material
Additional file 1 of Medico-economic impact of enhanced rehabilitation after surgery: an exhaustive, nation-wide claims study
Creators: name: Bizard, Frédéric
name: Boudemaghe, Thierry
name: Delaunay, Laurent
name: Léger, Lucas
name: Slim, Karem
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Additional file 1.
Transnational regional society
Creators: name: Kossuth, Donald
Publisher: name: University of British Columbia
Year: 2009

description: This thesis explores the phenomena of transnational regional society and its effect on international relations. It attempts to answer two main questions: What are transnational regional societies, and what can they tell us about the condition of the society of states? In chapter one, 'international society' arguments are reviewed to illustrate how transnational regional society has been ignored by that literature and to develop a normative theoretic approach to understanding cross-border, non-statist forms of human society. In chapter two, the transnational and regional aspects of these human societies are explored more fully, and as any wholly 'positivist' delineation of a 'region' is difficult, examples of transnational regional societies are identified not only by their congruence with economically- and ecologically-localized territory, but by the entrenchment of their primary norm: the pursuit of the 'better' life, understood as the human desire for heightened socioeconomic well-being beyond the basic safety, order and social welfare the state can provide. So defined, transnational regional societies help advance three important debates in international relations theory. First, they offer a novel approach to the 'nature of security' debate, for they necessitate a focus on socioeconomic as well as physical or Hobbesian security. Second, transnational regional societies shed new light on the 'democracies do not go to war' argument. Third, they help assess the relative strength of communitarian and cosmopolitan impulses in world politics. Chapter three explores these debates, arguing that transnational regional societies help confirm a healthy prognosis for the 'state' and 'society of states,' for as transnational regional societies require international peace and order to thrive, they do not undermine the norms of state sovereignty and nonintervention. In short, the notable degree of cosmopolitanism in transnational regional society will not fuel the decline of the society of states into one global society of humankind.
A Comparison of Two Fluctuation Analyses for Natural Language Clustering Phenomena: Taylor and Ebeling & Neiman Methods
Creators: name: Tanaka-Ishii, Kumiko
name: Takahashi, Shuntaro
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computation and Language (cs.CL)
subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: This article considers the fluctuation analysis methods of Taylor and Ebeling & Neiman. While both have been applied to various phenomena in the statistical mechanics domain, their similarities and differences have not been clarified. After considering their analytical aspects, this article presents a large-scale application of these methods to text. It is found that both methods can distinguish real text from independently and identically distributed (i.i.d.) sequences. Furthermore, it is found that the Taylor exponents acquired from words can roughly distinguish text categories; this is also the case for Ebeling and Neiman exponents, but to a lesser extent. Additionally, both methods show some possibility of capturing script kinds.
Cygnella Engel 2022, new subgenus
Creators: name: Engel, Michael S.
name: Gonzalez, Victor H.
Publisher: name: Zenodo
Year: 2022
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Colletidae
Cygnella

description: Cygnella Engel, new subgenus
ZooBank: urn:lsid:zoobank.org:act: EBD96745-E3C0-4683-8000-87C35B9AD8AE
TYPE SPECIES: Euryglossa cygnella Cockerell, 1905b.
DIAGNOSIS: This subgenus is distinctive among Euryglossidia for the dense, coarse punctation of the integument.
ETYMOLOGY: The new subgeneric name is derived from the epithet of the type species, cygnellus (Latin, meaning, “small swan” or “small minstrel” — cygnus, “swan” or “minstrel”, and the suffix – ellus, denoting a diminutive), but in the feminine form. Cockerell (1905b) took the specific epithet from the type locality: Swan River, Australia.
description: Published as part of Engel, Michael S. & Gonzalez, Victor H., 2022, A new bee genus from the pampas of eastern Argentina, with appended notes on the classification of " paracolletines " (Hymenoptera: Colletidae), pp. 1-39 in Journal of Melittology 2022 (109) on pages 32-34, DOI: 10.17161/jom.i109.16424, http://zenodo.org/record/13146121
Additional file 1 of Flavonoids kaempferol and quercetin are nuclear receptor 4A1 (NR4A1, Nur77) ligands and inhibit rhabdomyosarcoma cell and tumor growth
Creators: name: Shrestha, Rupesh
name: Mohankumar, Kumaravel
name: Martin, Greg
name: Hailemariam, Amanuel
name: Lee, Syng-ook
name: Jin, Un-ho
name: Burghardt, Robert
name: Safe, Stephen
Publisher: name: figshare
Year: 2021
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Cancer
subject: Hematology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1.
title: Three Questions to Dr. Anne Heffernan
Creators: name: Zein, Rand
name: Heffernan, Anne
Publisher: name: Leibniz-Zentrum Moderner Orient
Year: 2021
Subjects: subject: Apartheid
subject: South African Students' Organisation
subject: Black Theology
subject: 300

description: Religion, Morality and Boko in West Africa: Students Training for a Good Life
Development of Mass Spectrometry-Based Analytical Assays for Environmental and Defense Applications
Creators: name: Dowling, Sarah
Publisher: name: Purdue University Graduate School
Year: 2024
Subjects: classificationCode: 340199
subject: Analytical chemistry not elsewhere classified

description: Mass spectrometry (MS) is a powerful and versatile technique that is useful for addressing a wide range of complex analytical challenges. In this work, mass spectrometry-based assays were developed to address issues relating to environmental contamination and for detecting analytes of interest to the defense industry. Chapter one is an overview of the history of mass spectrometry, the fundamental operation of a mass spectrometer, as well as, advancements in chromatographic separation and ionization methods. Chapter two focuses on the development of an assay that uses blow flies as environmental sensors of chemical weapon release. In that work, a liquid chromatography – tandem mass spectrometry (LC-MS/MS) method was developed to detect chemical warfare agent simulants and chemical warfare agent hydrolysis products in flies exposed to the chemicals in controlled feeding experiments. The work in chapter three describes the development of a surface enhanced Raman spectroscopy assay coupled to paper spray mass spectrometry for a more fieldable and environmentally friendly approach to detect organophosphorus compounds. Chapter four describes the development of a paper spray mass spectrometry assay for the detection and semi-quantitation of per- and polyfluoroalkyl substances in whole blood without sample cleanup or chromatographic separations. This method would be useful in detecting high levels of these carcinogenic compounds in individuals highly exposed via their occupations. The final chapter (chapter five) returns to using blow flies as environmental sensors, but this time to detect insensitive munitions in the environment. The work focuses on the development of two different liquid chromatography mass spectrometry methods for the detection of insensitive munitions, which are less shock sensitive explosives, and their transformation products in the environment. Controlled feeding experiments were also performed where flies were exposed to contaminated soil and water sources to show the feasibility of this method in a more realistic scenario. The projects detailed herein show the extensive range with which mass spectrometry can be used for the detection of harmful chemistries of environmental concern.
Stable and self-consistent compact star models in teleparallel gravity
Creators: name: Nashed, Gamal G. L.
name: Capozziello, Salvatore
Publisher: name: arXiv
Year: 2020
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In the framework of Teleparallel Gravity, we derive a charged non-vacuum solution for a physically symmetric tetrad field with two unknown functions of radial coordinate. The field equations result in a closed-form adopting particular metric potentials and a suitable anisotropy function combined with the charge. Under these circumstances, it is possible to obtain a set of configurations compatible with observed pulsars. Specifically, boundary conditions for the interior spacetime are applied to the exterior Reissner-Nordström metric to constrain the radial pressure that has to vanish through the boundary. Starting from these considerations, we are able to fix the model parameters. The pulsar $\textit {PSR J 1614--2230}$, with estimated mass $M= 1.97 \pm 0.04\, M_{\circledcirc},$ and radius $R= 9.69 \pm 0.2$ km is used to test numerically the model. The stability is studied, through the causality conditions and adiabatic index, adopting the Tolman-Oppenheimer-Volkov equation. The mass-radius $(M,R)$ relation is derived. Furthermore, the compatibility of the model with other observed pulsars is also studied. We reasonably conclude that the model can represent realistic compact objects.
description: 21 pages, 14 figures, accepted for publication in EPJC
Automated Reasoning and Detection of Specious Configuration in Large Systems with Symbolic Execution
Creators: name: Hu, Yigong
name: Huang, Gongqi
name: Huang, Peng
Publisher: name: arXiv
Year: 2020
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Misconfiguration is a major cause of system failures. Prior solutions focus on detecting invalid settings that are introduced by user mistakes. But another type of misconfiguration that continues to haunt production services is specious configuration--settings that are valid but lead to unexpectedly poor performance in production. Such misconfigurations are subtle, so even careful administrators may fail to foresee them. We propose a tool called Violet to detect such misconfiguration. We realize the crux of specious configuration is that it causes some slow code path to be executed, but the bad performance effect cannot always be triggered. Violet thus takes a novel approach that uses selective symbolic execution to systematically reason about the performance effect of configuration parameters, their combination effect, and the relationship with input. Violet outputs a performance impact model for the automatic detection of poor configuration settings. We applied Violet on four large systems. To evaluate the effectiveness of Violet, we collect 17 real-world specious configuration cases. Violet detects 15 of them. Violet also identifies 9 unknown specious configurations.
The Relation Between Quasar and Merging Galaxy Luminosity Functions and the Merger-Induced Star Formation Rate of the Universe
Creators: name: Hopkins, Philip F.
name: Somerville, Rachel S.
name: Hernquist, Lars
name: Cox, Thomas J.
name: Robertson, Brant
name: Li, Yuexing
Publisher: name: arXiv
Year: 2006
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: Using a model for self-regulated growth of black holes (BHs) in mergers involving gas-rich galaxies, we study the relationship between quasars and the population of merging galaxies and predict the merger-induced star formation rate density of the Universe. Mergers drive nuclear gas inflows, fueling starbursts and 'buried quasars' until accretion feedback expels the gas, rendering a briefly visible optical quasar. Star formation is shut down and accretion declines, leaving a passively evolving remnant with properties typical of red, elliptical galaxies. Based on evolution of these events in our simulations, we demonstrate that the observed statistics of merger rates, luminosity functions (LFs) and mass functions, SFR distributions, specific SFRs, quasar and quasar host galaxy LFs, and elliptical/red galaxy LFs are self-consistent and follow from one another as predicted by the merger hypothesis. We use our simulations to de-convolve both quasar and merging galaxy LFs to determine the birthrate of black holes of a given final mass and merger rates as a function of stellar mass. We use this to predict the merging galaxy LF in several observed wavebands, color-magnitude relations, mass functions, absolute and specific SFR distributions and SFR density, and quasar host galaxy LFs, as a function of redshift from z=0-6. We invert this and predict e.g. quasar LFs from observed merger LFs or SFR distributions. Our results agree well with observations, but idealized models of quasar lightcurves are ruled out by comparison of merger and quasar observations at >99.9% confidence. Using only observations of quasars, we estimate the contribution of mergers to the SFR density of the Universe even to high redshifts z~4.
description: 26 pages, 15 figures, matches version accepted to ApJ
Visual configuration segmentation of quantum states for phase identification in many-body systems
Creators: name: Yang, Yuan
name: Wang, Zhengchuan
name: Ran, Shi-Ju
name: Su, Gang
Publisher: name: arXiv
Year: 2020
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Artificial intelligence provides an unprecedented perspective for studying phases of matter in condensed-matter systems. Image segmentation is a basic technique of computer vision that belongs to a branch of artificial intelligence. In this work, we propose a segmentation scheme named visual configuration segmentation (VCS) to unveil quantum phases and quantum phase transitions in many-body systems. By encoding the information of renormalized quantum states into a color image and segmenting the color image through the VCS, the renormalized quantum states can be visualized, from which quantum phase transitions can be revealed and the corresponding critical points can be identified. Our scheme is benchmarked on several strongly correlated spin systems, which does not depend on the priori knowledge of order parameters of quantum phases. This demonstrates the potential to disclose the underlying structure of quantum phases by the techniques of computer vision.
description: 10 pages, 6+4 figures
Low Mach Number Modeling of Type Ia Supernovae. II. Energy Evolution
Creators: name: Almgren, A. S.
name: Bell, J. B.
name: Rendleman, C. A.
name: Zingale, M.
Publisher: name: arXiv
Year: 2006
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: The convective period leading up to a Type Ia supernova (SN Ia) explosion is characterized by very low Mach number flows, requiring hydrodynamical methods well-suited to long-time integration. We continue the development of the low Mach number equation set for stellar scale flows by incorporating the effects of heat release due to external sources. Low Mach number hydrodynamics equations with a time-dependent background state are derived, and a numerical method based on the approximate projection formalism is presented. We demonstrate through validation with a fully compressible hydrodynamics code that this low Mach number model accurately captures the expansion of the stellar atmosphere as well as the local dynamics due to external heat sources. This algorithm provides the basis for an efficient simulation tool for studying the ignition of SNe Ia.
description: 30 pages; accepted to the Astrophysical Journal
The charmed mesons in the region above 3.0 GeV
Creators: name: Badalian, A. M.
name: Bakker, B. L. G.
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The masses of excited charmed mesons are shown to decrease by $\sim (50-150)$~MeV due to a flattening of the confining potential at large distances, which effectively takes into account open decay channels. The scale of the mass shifts is similar to that in charmonium for $ψ(4660)$ and $χ_{c0}(4700)$. The following masses of the first excitations: $M(2\,{}^3P_0)=2874$~MeV, $M(2\,{}^3P_2)=2968$~MeV, $M(2\,{}^3D_1)=3175$~MeV, and $M(2\,{}^3D_3)=3187$~MeV, and second excitations: $M(3\,{}^1S_0)=3008$~MeV, $M(3\,{}^3S_1)=3062$~MeV, $M(3\,{}^3P_0)=3229$~MeV, and $M(3\,{}^3P_2) =3264$~MeV, are predicted. The other states with $L=0,1,2$ and $n_r \geq 3$ have their masses in the region $M(nL)\geq 3.3$~GeV.
description: 15 pages, 4 tables
Enhanced absorption per unit mass for infrared arrays using subwavelength metal-dielectric structures
Creators: name: Das, Avijit
name: Talghader, Joseph J.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: The absorption to mass ratio of the infrared arrays is enhanced to approximately 1.33 to 7.33 times larger than the previously reported structures by incorporating two design characteristics: first, the coupling of evanescent fields in the air gaps around pixels to create effectively larger pixel sizes, and, second, the use of guided mode resonance (GMR) within the subwavelength metal-dielectric gratings. The bilayer Ti-Si3N4 gratings achieve broadband long-wave infrared (LWIR, 8 to 12 um) absorption by the combined effects of free carrier absorption by the thin Ti films and vibrational phonon absorption by the thick Si3N4 films. In the presence of GMR, this broadband absorption can be enormously enhanced even with low fill factor subwavelength grating cells. Further, the spacing and design of the cells can be modified to form a pixel array structure that couples the light falling in the air gaps via evanescent field coupling. Calculations are performed using the finite difference time domain (FDTD) technique. Excellent broadband absorption is observed for the optimized arrays, yielding maximum absorption of 90 percent across the LWIR and an average absorption-per-unit-mass (absorption/mass) per pixel of 3.45$\times$10^{13} kg^{-1}.
description: 19 pages, 15 figures
INVESTIGATING THE MODULATION OF VOLTAGE-GATED SODIUM CHANNEL NAV1.1 NEURONAL EXCITABILITY BY FIBROBLAST GROWTH FACTOR HOMOLOGOUS FACTOR 2 AND IL-6
Creators: name: Frazee, Ashley Marie
Publisher: name: Purdue University Graduate School
Year: 2024
Subjects: classificationCode: 319999
subject: Other biological sciences not elsewhere classified
classificationCode: 320999
subject: Neurosciences not elsewhere classified

description: Migraine is a condition that has affected many for generations and yet remains poorly understood. Mutations to the Nav1.1 voltage gated sodium channels have been implicated in various diseases such as Familial Hemiplegic Migraine 3 (FHM3), epilepsy, and autism spectrum disorder (ASD). Various proteins have been found to modify the function of these channels. Fibroblast growth factor homologous factors (FHFs) have been found to regulate the activity of some voltage-gated sodium channels (Navs). More work is needed to determine which FHFs affect which Navs. Here I looked at FHF2A and FHF2B in Nav1.1 as well as an FHM3-causing mutation to this channel, F1774S. I found that FHF2A, but not 2B, induced long-term inactivation (LTI) in the wild-type (WT) Nav1.1 and that FHF2A induced LTI in the F1774S mutant channel to a greater extent. Several changes in channel function caused by the mutation were attenuated with the addition of FHF2A, including persistent currents, leading to a possible rescue in the mutant phenotype. By contrast, the P1894L mutation, which has been found to cause ASD, greatly attenuated LTI and other impacts of FHF2A on Nav1.1. The inflammatory cytokine IL-6 was also investigated as a possible modulator of the Nav1.1 channel. There does not appear to be any direct interaction between this cytokine and the channel. Overall, my data shows for the first time that FHF2A, but FHF2B or IL-6, might be a significant modulator of Nav1.1 and can differentially modulate disease mutations.
The population of radio sources in the field of the unidentified gamma-ray source TeV J2032+4130
Creators: name: Paredes, Josep M.
name: Marti, Josep
name: H., Ishwara Chandra C.
name: Bosch-Ramon, Valenti
Publisher: name: arXiv
Year: 2006
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: TeV J2032+4130 is the first extended very high energy gamma-ray source, which has remained enigmatic since its discovery, due to the lack of identification. We report here deep radio observations covering the TeV J2032+4130 field and revealing for the first time an extended and diffuse radio emission, as well as a remarkable population of compact radio sources. Some of these radio sources are in positional coincidence with X-ray and optical/IR sources. Future follow up studies of these new radio sources will likely contribute to solve the mystery of this extended unidentified TeV source.
description: 5 pages, 2 figures, 1 table. To appear in ApJ Letters (submitted 2006 Oct 23, accepted 2006 Nov 28)
Heavy Light Inflaton and Dark Matter Production
Creators: name: Bezrukov, Fedor
name: Keats, Abigail
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We study the minimal extension of the SM by a scalar with quartic interaction serving as an inflaton. For the model where scale symmetry is broken only in the inflaton sector, the mass of the inflaton is constrained to be relatively low. Here, we analysed the previously omitted situation of the inflaton masses $m_χ\gtrsim 250\text{ GeV}$. Therefore, we provide a window of inflaton masses with viable inflationary properties that evade direct observational constraints, due to their small mixing with the Higgs sector. The addition of heavy neutral leptons with Majorana masses induced by the interaction with the inflaton allow for Cold Dark Matter in the model with masses $O(1-10)\text{ MeV}$.
description: 9 pages, 4 figures
Degradation of non-maximal entanglement of scalar and Dirac fields in non-inertial frames
Creators: name: Pan, Qiyuan
name: Jing, Jiliang
Publisher: name: arXiv
Year: 2008
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The entanglement between two modes of the free scalar and Dirac fields as seen by two relatively accelerated observers has been investigated. It is found that the same initial entanglement for an initial state parameter $α$ and its "normalized partner" $\sqrt{1-α^{2}}$ will be degraded by the Unruh effect along two different trajectories except for the maximally entangled state, which just shows the inequivalence of the quantization for a free field in the Minkowski and Rindler coordinates. In the infinite acceleration limit the state doesn't have the distillable entanglement for any $α$ for the scalar field but always remains entangled to a degree which is dependent of $α$ for the Dirac field. It is also interesting to note that in this limit the mutual information equals to just half of the initially mutual information, which is independent of $α$ and the type of field.
description: 9 pages, 4 figures
Additional file 1 of Effectiveness of community-based treatment programs for treatment of uncomplicated severe acute malnourished children aged 6–59 months using locally produced nutrient dense foods: protocol for a multicentric longitudinal quasi-experimental study
Creators: name: Kumar, Praveen
name: Sinha, Rajesh Kumar
name: Daniel, Abner
name: Shah, Hemang
name: Sriswan, Raja
name: Kokane, Arun
name: Mohapatra, Aditya
name: Kashyap, Vivek
name: Goel, Anil Kumar
name: Kumar, Virendra
name: Kiran, Asha
name: Arlappa, N.
name: Joshi, Ankur
name: Nayak, Rashmi Ranjan
name: Singh, Manjula
name: Salasibew, Mihretab
name: Ghosh, Samik
name: Pawar, Sameer Manikrao
name: Mishra, Preetu
name: Tiwari, Khyati
name: Bhattacharjee, Sourav
name: Saiyed, Farhat
name: Patel, Tarun Shrikrishna
name: Nayak, Pritish Kumar
name: Sahoo, Sanjay Kumar
name: Prajapati, Mahendra
name: Sinha, Shikha
name: de Wagt, Arjan
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1. Overview of the state specific CSAM protocols for management of uncomplicated SAM.
Mentoring African American males
Creators: name: Owens, Allessia O.
Publisher: name: Maryland Shared Open Access Repository
Year: 2008
Subjects: Mentoring
African American males

description: The ALANA Experience at Prince George's Community College has been promoting educational attainment for over 15 years. With this tradition in place we are devoted to assisting all students continue their education by providing structured support opportunities that include mentoring, academic advising, study skills and social development workshops. Our goal is to retain students so that they reach their educational and/or professional goals.
Towards A Sentiment Analyzer for Low-Resource Languages
Creators: name: Indriani, Dian
name: Nasution, Arbi Haza
name: Monika, Winda
name: Nasution, Salhazan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Twitter is one of the top influenced social media which has a million number of active users. It is commonly used for microblogging that allows users to share messages, ideas, thoughts and many more. Thus, millions interaction such as short messages or tweets are flowing around among the twitter users discussing various topics that has been happening world-wide. This research aims to analyse a sentiment of the users towards a particular trending topic that has been actively and massively discussed at that time. We chose a hashtag \textit{\#kpujangancurang} that was the trending topic during the Indonesia presidential election in 2019. We use the hashtag to obtain a set of data from Twitter to analyse and investigate further the positive or the negative sentiment of the users from their tweets. This research utilizes rapid miner tool to generate the twitter data and comparing Naive Bayes, K-Nearest Neighbor, Decision Tree, and Multi-Layer Perceptron classification methods to classify the sentiment of the twitter data. There are overall 200 labeled data in this experiment. Overall, Naive Bayes and Multi-Layer Perceptron classification outperformed the other two methods on 11 experiments with different size of training-testing data split. The two classifiers are potential to be used in creating sentiment analyzer for low-resource languages with small corpus.
description: Accepted to be published in Proceedings of International Conference on Smart Computing and Cyber Security (SMARTCYBER 2020)
Self-bound droplet of Bose and Fermi atoms in one dimension: Collective properties in mean-field and Tonks-Girardeau regimes
Creators: name: Salasnich, Luca
name: Adhikari, Sadhan K.
name: Toigo, Flavio
Publisher: name: arXiv
Year: 2007
Subjects: subject: Other Condensed Matter (cond-mat.other)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We investigate a dilute mixture of bosons and spin-polarized fermions in one-dimension. With an attractive Bose-Fermi scattering length the ground-state is a self-bound droplet, i.e. a Bose-Fermi bright soliton where the Bose and Fermi clouds are superimposed. We find that the quantum fluctuations stabilize the Bose-Fermi soliton such that the one-dimensional bright soliton exists for any finite attractive Bose-Fermi scattering length. We study density profile and collective excitations of the atomic bright soliton showing that they depend on the bosonic regime involved: mean-field or Tonks-Girardeau.
description: 9 pages, 5 figures, to be published in Phys. Rev. A
Influence of PEG on the Clustering of Active Janus Colloids
Creators: name: Kalil, Mohammed A.
name: Baumgartner, Nicky R.
name: Issa, Marola W.
name: Ryan, Shawn D.
name: Wirth, Christopher L.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: Micrometer scale colloidal particles that propel in a deterministic fashion in response to local environmental cues are useful analogs to self-propelling entities found in nature. Both natural and synthetic active colloidal systems are often near boundaries or are located in crowded environments. Herein, we describe experiments in which we measured the influence of hydrogen peroxide concentration and dispersed polyethylene glycol (PEG) on the clustering behavior of 5 micrometer catalytic active Janus particles at low concentration. We found the extent to which clustering occurred in ensembles of active Janus particles grew with hydrogen peroxide concentration in the absence of PEG. Once PEG was added, clustering was slightly enhanced at low PEG volume fractions, but was reduced at higher PEG volumes fractions. The region in which clustering was mitigated at higher PEG volume fractions corresponded to the region in which propulsion was previously found to be quenched. Complementary agent based simulations showed that clustering grew with nominal speed. These data support the hypothesis that growth of living crystals is enhanced with increases in propulsion speed, but the addition of PEG will tend to mitigate cluster formation as a consequence of quenched propulsion at these conditions.
Andreev reflection spectroscopy of the heavy-fermion superconductor CeCoIn$_5$ along three different crystallographic orientations
Creators: name: Park, Wan Kyu
name: Greene, Laura H.
name: Sarrao, John L.
name: Thompson, Joe D.
Publisher: name: arXiv
Year: 2006
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Andreev reflection spectroscopy has been performed on the heavy-fermion superconductor (HFS) CeCoIn$_5$ single crystals along three different crystallographic orientations, (001), (110), and (100), using Au tips as counter-electrodes. Dynamic conductance spectra are reproducible over wide temperature ranges and consistent with each other, ensuring the spectroscopic nature. Features common to all directions are: i) asymmetric behaviors of the background conductance, which we attribute to the emerging coherent heavy-fermion liquid; ii) energy scales (~1 meV) for conductance enhancement due to Andreev reflection; iii) magnitudes of enhanced zero-bias conductance (10 - 13 %). These values are an order of magnitude smaller than the predicted value by the Blonder-Tinkham-Klapwijk (BTK) theory, but comparable to those for other HFSs. Using the d-wave BTK model, we obtain an energy gap of ~ 460 ueV. However, it is found that extended BTK models considering the mismatch in Fermi surface parameters do not account for our data completely, which we attribute to the shift of spectral weight to low energy as well as to the suppressed Andreev reflection. A qualitative comparison of the conductance spectra with calculated curves shows a consistency with d$_{x^2-y^2}$-symmetry, providing the first spectroscopic evidence for the order parameter symmetry and resolving the controversy over the location of the line nodes.
description: invited talk submitted to the 8th M2S conference to be held in Dresden Germany, July 9-14, 2006, 4 pages, 3 figures
Mathematical modelling of carbon capture in a packed column by adsorption
Creators: name: Myers, T. G.
name: Font, F.
name: Hennessy, M. G.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Other Condensed Matter (cond-mat.other)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: A mathematical model of the process of carbon capture in a packed column by adsorption is developed and analysed. First a detailed study is made of the governing equations. Due to the complexity of the internal geometry it is standard practice to average these equations. Here the averaging process is revisited. This shows that there exists a number of errors and some confusion in the standard systems studied in the literature. These errors affect the parameter estimation, with consequences when the experimental set-up is modified or scaled-up. Assuming, as a first approximation, an isothermal model the gas concentration equation is solved numerically. Excellent agreement with data from a pressure swing adsorption experiment is demonstrated. A new analytical solution (valid away from the inlet) is obtained. This provides explicit relations for quantities such as the amount of adsorbed gas, time of first breakthrough, total process time and width and speed of the reaction zone, showing how these depend on the operating conditions and material parameters. The relations show clearly how to optimise the carbon capture process. By comparison with experimental data the analytical solution may also be used to calculate unknown system parameters.
Guidelines for energy efficiency HBIM development of existing buildings
Creators: name: Gigliarelli, Elena
name: Calcerano, Filippo
name: Martinelli, Letizia
name: Thravalou, Stavroula
name: Alexandrou, Kristis
name: Artopoulos, Georgios
Publisher: name: Zenodo
Year: 2024
Subjects: Heritage Building Information Modeling
Building Performance Simulation
Built Heritage
interoperability
Energy Audit
Guideline
Energy and Environmental Improvement
Geometric Survey
Conservation state
Heat Flux Meter analysis
Indoor monitoring
IR thermography
Simulation calibration

description: This pdf provides a technical guideline for an energy audit of a historical building to support its energy and environmental improvement (as shown in the Energy Audit Process Flow schema based on the EN 16247-2:2014, see par 1.4), from the analyses to the design stage up to the Energy Performance Contracting implementation. Each section of the guideline can also be used as technical specification for tender activities, along with the related template Annex.

This guidelines’ document was developed within the ENI CBC Med BEEP project and aims to enhance the capacity of public local administrations to design, and realise innovative energy and environmental improvement on historic public buildings, through a multidisciplinary and integrated digital approach (using Building Information Modelling and performance-based design to develop an Energy Efficient Heritage Building Information Model - EE-HBIM). The guideline is based on the testing of this emerging technology on built heritage in eight different EU and non EU Mediterranean countries to demonstrate its scalability to the entire building stock of the Med area. The project will provide public administrations with a powerful method for the energy rehabilitation of public buildings to be supported with private funds through the Energy Performance Contracting. The HBIM model should integrate previously collected information on the building (geometric, diagnostic, environmental data), to create a comprehensive documentation of the building's current state. Moreover, the HBIM model will be used as a basis to inform the subsequent simulation-based energy-environmental improvement concept, through energy renovation scenarios that are both compatible with the identified historic buildings and capable to enhance its energy and environmental performance.
Additional file 1 of The association of multimodal analgesia and high-risk opioid discharge prescriptions in opioid-naive surgical patients
Creators: name: Langnas, Erica
name: Rodriguez-Monguio, Rosa
name: Luo, Yanting
name: Croci, Rhiannon
name: Dudley, R. Adams
name: Chen, Catherine L.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 1: Table S1: ICD codes for depression anxiety and substance use disorder
Trustworthy AI: Ensuring Explainability and Acceptance
Creators: name: Kaur, Davinder
Publisher: name: Purdue University Graduate School
Year: 2024
Subjects: classificationCode: 460805
subject: Fairness, accountability, transparency, trust and ethics of computer systems
classificationCode: 460808
subject: Mixed initiative and human-in-the-loop
classificationCode: 460201
subject: Artificial life and complex adaptive systems
classificationCode: 460806
subject: Human-computer interaction
classificationCode: 460202
subject: Autonomous agents and multiagent systems
classificationCode: 460209
subject: Planning and decision making
classificationCode: 460299
subject: Artificial intelligence not elsewhere classified
classificationCode: 460803
subject: Collaborative and social computing
classificationCode: 460207
subject: Modelling and simulation

description: In the dynamic realm of Artificial Intelligence (AI), this study explores the multifaceted landscape of Trustworthy AI with a dedicated focus on achieving both explainability and acceptance. The research addresses the evolving dynamics of AI, emphasizing the essential role of human involvement in shaping its trajectory.A primary contribution of this work is the introduction of a novel "Trustworthy Explainability Acceptance Metric", tailored for the evaluation of AI-based systems by field experts. Grounded in a versatile distance acceptance approach, this metric provides a reliable measure of acceptance value. Practical applications of this metric are illustrated, particularly in a critical domain like medical diagnostics. Another significant contribution is the proposal of a trust-based security framework for 5G social networks. This framework enhances security and reliability by incorporating community insights and leveraging trust mechanisms, presenting a valuable advancement in social network security.The study also introduces an artificial conscience-control module model, innovating with the concept of "Artificial Feeling." This model is designed to enhance AI system adaptability based on user preferences, ensuring controllability, safety, reliability, and trustworthiness in AI decision-making. This innovation contributes to fostering increased societal acceptance of AI technologies. Additionally, the research conducts a comprehensive survey of foundational requirements for establishing trustworthiness in AI. Emphasizing fairness, accountability, privacy, acceptance, and verification/validation, this survey lays the groundwork for understanding and addressing ethical considerations in AI applications. The study concludes with exploring quantum alternatives, offering fresh perspectives on algorithmic approaches in trustworthy AI systems. This exploration broadens the horizons of AI research, pushing the boundaries of traditional algorithms.In summary, this work significantly contributes to the discourse on Trustworthy AI, ensuring both explainability and acceptance in the intricate interplay between humans and AI systems. Through its diverse contributions, the research offers valuable insights and practical frameworks for the responsible and ethical deployment of AI in various applications.
A Model Behind the Standard Model
Creators: name: Chan, H. M.
name: Tsou, S. T.
Publisher: name: arXiv
Year: 2006
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In spite of its many successes, the Standard Model makes many empirical assumptions in the Higgs and fermion sectors for which a deeper theoretical basis is sought. Starting from the usual gauge symmetry $u(1) \times su(2) \times su(3)$ plus the 3 assumptions: (A) scalar fields as vielbeins in internal symmetry space \cite{framevec}, (B) the ``confinement picture'' of symmetry breaking \cite{tHooft,Banovici}, (C) generations as ``dual'' to colour \cite{genmixdsm}, we are led to a scheme which offers: (I) a geometrical significance to scalar fields, (II) a theoretical criterion on what scalar fields are to be introduced, (III) a partial explanation of why $su(2)$ appears broken while $su(3)$ confines, (IV) baryon-lepton number (B - L) conservation, (V) the standard electroweak structure, (VI) a 3-valued generation index for leptons and quarks, and (VII) a dynamical system with all the essential features of an earlier phenomenological model \cite{genmixdsm} which gave a good description of the known mass and mixing patterns of quarks and leptons including neutrino oscillations. There are other implications the consistency of which with experiment, however, has not yet been systematically explored. A possible outcome is a whole new branch of particle spectroscopy from $su(2)$ confinement, potentially as rich in details as that of hadrons from colour confinement, which will be accessible to experiment at high energy.
description: 66 pages, added new material on phenomenology, and some new references
Probing the 3.6 Micron CIRB with Spitzer in 3 DIRBE Dark Spots
Creators: name: Levenson, L. R.
name: Wright, E. L.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We observed three regions of the sky with Spitzer in which the Cosmic InfraRed Background (CIRB) has been determined at 3.5 microns using the method of subtracting 2MASS stellar fluxes from zodiacal light subtracted DIRBE maps. For each of these regions we have obtained 270 seconds of integration time per pixel with IRAC on Spitzer over the central square degree. We present galaxy counts in each of these approximately 1 square degree IRAC surveys. Along with deep galaxy counts in the Extended Groth Strip and GOODS North, we are able to compare the galactic contribution to the CIRB with the "DIRBE minus 2MASS'' determined L-band CIRB. Using the profile-fit photometry package GIM2D, we find a substantially larger flux contribution to the CIRB than that determined using aperture photometry. We have also made the first rigorous analysis of the uncertainties in determining the CIRB via galaxy counts in Spitzer images using a Monte Carlo Markov Chain simulation of our data analysis. Using a simple broken power law model for galaxy counts as a function of magnitude we find a most probable contribution to the CIRB from galaxies at 3.6 microns of 10.8^{+2.1}_{-1.1} kJy/sr. Even with this restricted model, however, we find that galaxy counting does not strongly constrain the CIRB from above. We are able to find solutions in which the CIRB runs away to large intensities without the need for an additional diffuse source.
description: 40 pages LaTeX, 19 figures, 5 tables, This is the verson accepted by the ApJ. Minor changes include replotting Figure 1, 3 and 4 on the same axes as Fig. 13 and more detailed description of the sample galaxies used for completeness estimation. References added
Higher-rank discrete symmetries in the IBM. III Tetrahedral shapes
Creators: name: Van Isacker, Piet
name: Bouldjedri, Abdelhamid
name: Zerguine, Salima
Publisher: name: arXiv
Year: 2020
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: In the context of the sf-IBM, the interacting boson model with s and f bosons, the conditions are derived for a rotationally invariant and parity-conserving Hamiltonian with up to two-body interactions to have a minimum with tetrahedral shape in its classical limit. A degenerate minimum that includes a shape with tetrahedral symmetry can be obtained in the classical limit of a Hamiltonian that is transitional between the two limits of the model, U_f(7) and SO_{sf}(8). The conditions for the existence of such a minimum are derived. The system can be driven towards an isolated minimum with tetrahedral shape through a modification of two-body interactions between the f bosons. General comments are made on the observational consequences of the occurrence of shapes with a higher-rank discrete symmetry in the context of algebraic models.
description: 18 pages, 4 figures
Accelerating networks
Creators: name: Smith, David M. D.
name: Onnela, Jukka-Pekka
name: Johnson, Neil F.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: Evolving out-of-equilibrium networks have been under intense scrutiny recently. In many real-world settings the number of links added per new node is not constant but depends on the time at which the node is introduced in the system. This simple idea gives rise to the concept of accelerating networks, for which we review an existing definition and -- after finding it somewhat constrictive -- offer a new definition. The new definition provided here views network acceleration as a time dependent property of a given system, as opposed to being a property of the specific algorithm applied to grow the network. The defnition also covers both unweighted and weighted networks. As time-stamped network data becomes increasingly available, the proposed measures may be easily carried out on empirical datasets. As a simple case study we apply the concepts to study the evolution of three different instances of Wikipedia, namely, those in English, German, and Japanese, and find that the networks undergo different acceleration regimes in their evolution.
description: 12 pages, 8 figures