cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Scorpiops (Scorpiops) irenae Kovarik 1994
Creators: name: Lourenço, Wilson R.
name: Ythier, Eric
Publisher: name: Zenodo
Year: 2022
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Scorpiones
Scorpiopidae
Scorpiops
Scorpiops irenae

description: - S. (Scorpiops) irenae Kovařík, 1994
Nepal
description: Published as part of Lourenço, Wilson R. & Ythier, Eric, 2022, A new species of the genus Scorpiops Peters, 1861, subgenus Euscorpiops Vachon, 1980 from Laos (Scorpiones: Scorpiopidae), pp. 1-9 in Faunitaxys 10 (27) on page 2, DOI: 10.57800/faunitaxys-10(27), http://zenodo.org/record/15352467
title: Digital History Fellowship
Creators: name: Walters Cooper, LaQuanda
name: Swain, Greta
name: Dauterive, Jessica
name: Crossley, Laura
name: Odiorne, Andrew
name: Wilson, Lacey
name: Bratt, Jordan
name: Seal, Stephanie Anne
name: Fahringer, Alyssa Toby
name: Legg, Jannelle
name: McDivitt, Anne
name: Regan, Amanda
name: Hurwitz, Benjamin
name: Morton, Amanda
name: Roberts, Spencer
Publisher: name: Roy Rosenzweig Center for History and New Media
Year: 2020
Subjects: subject: Digital history
subject: Pedagogy

description: The WARC file can be viewed using a web archiving program such as Conifer (https://conifer.rhizome.org). The ZIP contains a static version of the website.
description: This website served as a space for reflection from the graduate students in the Roy Rosenzweig Center for History and New Media's Digital History Fellowship program. Each new group of students contributed their stories and experiences, and provided a fresh look at digital history in graduate programs. The site also included each year's fellowship syllabus. First awarded in 2012, the Digital History Fellowship was funded by the Provost’s PhD Program Awards, and provided graduate students with stipends and an opportunity to undertake practicum courses in the Roy Rosenzweig Center for History and New Media at George Mason University. Students discussed previous projects completed by the Center to better understand how digital history has developed since 1994, while simultaneously offering new perspectives on present and future projects. They also worked within the Education, Public Projects, and Research divisions to learn new skills and contribute to current projects. Hosted at chnm.gmu.edu/courses/fellowship.
Can Large Language Models Capture Public Opinion about Global Warming? An Empirical Assessment of Algorithmic Fidelity and Bias
Creators: name: Lee, S.
name: Peng, T. Q.
name: Goldberg, M. H.
name: Rosenthal, S. A.
name: Kotcher, J. E.
name: Maibach, E. W.
name: Leiserowitz, A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: Large language models (LLMs) have demonstrated their potential in social science research by emulating human perceptions and behaviors, a concept referred to as algorithmic fidelity. This study assesses the algorithmic fidelity and bias of LLMs by utilizing two nationally representative climate change surveys. The LLMs were conditioned on demographics and/or psychological covariates to simulate survey responses. The findings indicate that LLMs can effectively capture presidential voting behaviors but encounter challenges in accurately representing global warming perspectives when relevant covariates are not included. GPT-4 exhibits improved performance when conditioned on both demographics and covariates. However, disparities emerge in LLM estimations of the views of certain groups, with LLMs tending to underestimate worry about global warming among Black Americans. While highlighting the potential of LLMs to aid social science research, these results underscore the importance of meticulous conditioning, model selection, survey question format, and bias assessment when employing LLMs for survey simulation. Further investigation into prompt engineering and algorithm auditing is essential to harness the power of LLMs while addressing their inherent limitations.
description: 34 pages, 6 figures, 1 table
title: Correspondence: Sumpter T. Priddy and C. Harrison Mann, Jr., December 12, 1967
Creators: name: Priddy, Sumpter T.
name: Mann, Charles Harrison, Jr., 1908-1977
Publisher: name: George Mason University
Year: 2005
Subjects: subject: Driver's licenses

description: Letter A: typescript signed, 11" x 8.5" (27.9 cm x 21.6 cm); Samples: three proto-type licenses, 2" x 3.5" (5.1 cm x 8.9 cm); Letter B: typescript unsigned, 11" x 8.5" (27.9 cm x 21.6 cm)
description: Correspondence between C. Harrison Mann, Jr. and Sumpter T. Priddy, Executive Vice President of the Virginia Retail Merchants Association, regarding samples of new driver's licenses. C. Harrison Mann, Jr. Collection 1.28
Scorpiops (Scorpiops) jendeki Kovarik 1994
Creators: name: Lourenço, Wilson R.
name: Ythier, Eric
Publisher: name: Zenodo
Year: 2022
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Scorpiones
Scorpiopidae
Scorpiops
Scorpiops jendeki

description: - S. (Scorpiops) jendeki Kovařík, 1994
China
description: Published as part of Lourenço, Wilson R. & Ythier, Eric, 2022, A new species of the genus Scorpiops Peters, 1861, subgenus Euscorpiops Vachon, 1980 from Laos (Scorpiones: Scorpiopidae), pp. 1-9 in Faunitaxys 10 (27) on page 2, DOI: 10.57800/faunitaxys-10(27), http://zenodo.org/record/15352467
Collision Avoidance using Iterative Dynamic and Nonlinear Programming with Adaptive Grid Refinements
Creators: name: Richter, Rebecca
name: De Marchi, Alberto
name: Gerdts, Matthias
Publisher: name: arXiv
Year: 2023
Subjects: subject: Optimization and Control (math.OC)
subject: Robotics (cs.RO)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: Nonlinear optimal control problems for trajectory planning with obstacle avoidance present several challenges. While general-purpose optimizers and dynamic programming methods struggle when adopted separately, their combination enabled by a penalty approach is capable of handling highly nonlinear systems while overcoming the curse of dimensionality. Nevertheless, using dynamic programming with a fixed state space discretization limits the set of reachable solutions, hindering convergence or requiring enormous memory resources for uniformly spaced grids. In this work we solve this issue by incorporating an adaptive refinement of the state space grid, splitting cells where needed to better capture the problem structure while requiring less discretization points overall. Numerical results on a space manipulator demonstrate the improved robustness and efficiency of the combined method with respect to the single components.
Did rural resentment of government employees elect Donald Trump?
Creators: name: Carpenter, Stephanie M.
name: Brauer, Markus
name: Niedenthal, Paula M.
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Sociology
subject: FOS: Sociology
subject: Cancer
subject: Science Policy

description: A recent “rural resentment” hypothesis holds that the rise of conservative politicians in the state of Wisconsin is explained by rural residents’ resentment of beneficiaries of economic advantages, especially government employees (Cramer, Katherine J. 2016. The Politics of Resentment: Rural Consciousness in Wisconsin and the Rise of Scott Walker. University of Chicago Press). We tested a national rural resentment hypothesis using survey methodology. 3820 respondents representing all 50 US states reported the extent to which they felt resentment- and admiration-related emotions toward public school teachers, state university professors, and agents of departments of natural resources, and reported the presidential candidate they voted for in the 2016 general election. Rural and urban Americans’ resentment of government employees was significantly lower than their admiration for members of those groups. Political party affiliation and education predicted resentment of government employees more than did rural-urban residence. Although Americans residing in rural areas were more likely to have voted for Donald Trump than Americans residing in urban areas, resentment of government employees accounted for a relatively small proportion of this effect.
A Note on Tesla's Revised Safety Report Crash Rates
Creators: name: Goodall, Noah
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: Between June 2018 and December 2022, Tesla released quarterly safety reports citing average miles between crashes for Tesla vehicles. Prior to March 2021, crash rates were categorized as 1) with their SAE Level 2 automated driving system Autopilot engaged, 2) without Autopilot but with active safety features such as automatic emergency braking, and 3) without Autopilot and without active safety features. In January 2022, Tesla revised past reports to reflect their new categories of with and without Autopilot engaged, in addition to making small adjustments based on recently discovered double counting of reports and excluding previously recorded crashes that did not meet their thresholds of airbag or active safety restraint activation. The revisions are heavily biased towards no-active-safety-features$\unicode{x2014}$a surprising result given prior research showing that drivers predominantly keep most active safety features enabled. As Tesla's safety reports represent the only national source of Level 2 advanced driver assistance system crash rates, clarification of their methods is essential for researchers and regulators. This note describes the changes and considers possible explanations for the discrepancies.
Imprints of massive black-hole binaries on neighbouring decihertz gravitational-wave sources
Creators: name: Stegmann, Jakob
name: Zwick, Lorenz
name: Vermeulen, Sander M.
name: Antonini, Fabio
name: Mayer, Lucio
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: The most massive black holes in our Universe form binaries at the centre of merging galaxies. The recent evidence for a gravitational-wave (GW) background from pulsar timing may constitute the first observation that these supermassive black hole binaries (SMBHBs) merge. Yet, the most massive SMBHBs are out of reach of interferometric {GW} detectors and are exceedingly difficult to resolve individually with pulsar timing. These limitations call for unexplored strategies to detect individual SMBHBs in the uncharted frequency band $\lesssim10^{-5}\,\rm Hz$ in order to establish their abundance and decipher the coevolution with their host galaxies. Here we show that SMBHBs imprint detectable long-term modulations on GWs from stellar-mass binaries residing in the same galaxy. We determine that proposed deci-Hz GW interferometers sensitive to numerous stellar-mass binaries could uncover modulations from $\sim\mathscr{O}(10^{-1}$ - $10^4)$ SMBHBs with masses $\sim\mathscr{O}(10^7$ - $10^8)\,\rm M_\odot$ out to redshift $z\sim3.5$. This offers a unique opportunity to map the population of SMBHBs through cosmic time, which might remain inaccessible otherwise.
description: 20 pages, 6 figures. Nature Astronomy (2024)
title: Strengthening Biosecurity in Iraq: Development of a National Biorisk Management System
Creators: name: Al Jewari, Mahdi F. H.
name: Koblentz, Gregory D.
Publisher: name: Frontiers
Year: 2016
Subjects: subject: Iraq
subject: Biosecurity
subject: Public health
subject: Bioengagement
subject: Biodefense
subject: Global health
subject: Biosafety
subject: Biorisk

description: Since 2004, the Republic of Iraq has undertaken a concerted effort to comply with all of its international obligations to prevent the proliferation and the use of chemical, biological, radiological, and nuclear (CBRN) weapons. A centerpiece of this effort is Iraq’s development of a National Biorisk Management System. The Iraqi National Monitoring Authority (INMA), which is responsible for CBRN security and non-proliferation in Iraq, has played a key role in establishing this system. This article provides an overview of Iraq’s international non-proliferation commitments, describes the legal and organizational steps it has taken to implement these commitments, and examines current initiatives to strengthen Iraq’s biosecurity.
Mixture Conditional Regression with Ultrahigh Dimensional Text Data for Estimating Extralegal Factor Effects
Creators: name: Shi, Jiaxin
name: Wang, Fang
name: Gao, Yuan
name: Song, Xiaojun
name: Wang, Hansheng
Publisher: name: arXiv
Year: 2023
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: Testing judicial impartiality is a problem of fundamental importance in empirical legal studies, for which standard regression methods have been popularly used to estimate the extralegal factor effects. However, those methods cannot handle control variables with ultrahigh dimensionality, such as found in judgment documents recorded in text format. To solve this problem, we develop a novel mixture conditional regression (MCR) approach, assuming that the whole sample can be classified into a number of latent classes. Within each latent class, a standard linear regression model can be used to model the relationship between the response and a key feature vector, which is assumed to be of a fixed dimension. Meanwhile, ultrahigh dimensional control variables are then used to determine the latent class membership, where a Naïve Bayes type model is used to describe the relationship. Hence, the dimension of control variables is allowed to be arbitrarily high. A novel expectation-maximization algorithm is developed for model estimation. Therefore, we are able to estimate the interested key parameters as efficiently as if the true class membership were known in advance. Simulation studies are presented to demonstrate the proposed MCR method. A real dataset of Chinese burglary offenses is analyzed for illustration purpose.
Are voters less persuaded by female than by male politicians’ statements? A survey experiment in Japan
Creators: name: Miwa, Hirofumi
name: Happo, Musashi
name: Odaka, Kaho
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Sociology
subject: FOS: Sociology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: We contribute to the demand-side theory of women’s underrepresentation in democracy, by which we mean that women are underrepresented in politics because voters prefer male politicians, by focussing on gender’s effect on the persuasive power of politicians’ policy statements. We conducted a survey experiment in Japan, where women are seriously underrepresented in politics and voter preferences for individual candidates matter with respect to women being elected. We showed participants fictitious local legislators’ policy statements and asked to what extent they supported those statements. We selected foreign and welfare issues on which voters have shared gendered stereotypes and randomly manipulated the legislators’ gender, ideological positions, and tone of their statements. We found no significant differences in approval for policy statements between female and male legislators. This result holds irrespective of legislators’ ideological positions and tone of the statements. We infer from the results of factual manipulation checks that such null results are attributable to the low rate of respondents who recognized the fictitious legislators’ gender. Although our study is preliminary, and its results are ambiguous, our experimental design helps scholars disentangle some mechanisms of voters’ underappreciation of female politicians.
Scorpiops (Scorpiops) braunwalderi Kovarik 2000
Creators: name: Lourenço, Wilson R.
name: Ythier, Eric
Publisher: name: Zenodo
Year: 2022
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Scorpiones
Scorpiopidae
Scorpiops
Scorpiops braunwalderi

description: - S. (Scorpiops) braunwalderi Kovařík, 2000
India
description: Published as part of Lourenço, Wilson R. & Ythier, Eric, 2022, A new species of the genus Scorpiops Peters, 1861, subgenus Euscorpiops Vachon, 1980 from Laos (Scorpiones: Scorpiopidae), pp. 1-9 in Faunitaxys 10 (27) on page 2, DOI: 10.57800/faunitaxys-10(27), http://zenodo.org/record/15352467
title: Digital Campus Podcast - Episode 82 – Haranguer for Hire
Creators: name: History, Roy Rosenzweig Center For
Publisher: name: George Mason University
Year: 2012
Subjects: subject: Apple
subject: Cloud computing
subject: Copyright
subject: Elsevier
subject: Google
subject: Intellectual property
subject: Mozilla
subject: Open access
subject: Privacy
subject: Publishing

description: Originally published by the Center for History and New Media through the Digital Campus podcast (http://digitalcampus.tv). This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 2.5 (http://creativecommons.org/licenses/by-nc-sa/2.5/).
description: We report on a new CLIR / NITLE project to develop a technical infrastructure for publishing new-model digital scholarship, what’s coming in the next version of Mac OS X and other operating systems and what their cloud centrism might mean for universities and their privacy concerns, and canvas the current (and historic) situation with regard to open access. All best wishes for speedy recovery of your voice, Mills.
Supplementary document for Block-based compressed sensing for fast optic fiber bundle imaging with high spatial resolution - 6408586.pdf
Creators: name: Jiang, Zhixiang
name: Zhao, Xing
name: Wen, Ya
name: peng, qiang
name: Li, Da
name: Song, Lipei
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplement 1 includes the technical details of simulation and experiment in the paper.
Sex and ideology: liberal and conservative responses to scandal
Creators: name: Saxton, Gregory W.
name: Barnes, Tiffany D.
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Neuroscience
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Ecology
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Plant Biology
subject: Computational Biology

description: Research finds citizens are less likely to penalize politicians implicated in sex scandals compared to corruption. Still, observational data reveals that some politicians have better luck surviving sex scandals than others. Do voters punish politicians for sex scandals? We argue yes – some do. Whereas liberals are inclined to view sex scandals as personal matters – unrelated to a politician’s job performance – conservatives are more likely to view sex scandals as moral outrages that disregard traditional values and threaten the social order. Conservatives are thus less forgiving of sex scandals than liberals, especially when women politicians are implicated. Using evidence from a survey experiment in the US designed to isolate the effect of scandal type (corruption vs. sex) and candidate sex, we investigate heterogeneous effects by political ideology. We find that liberals tend to be forgiving of sex scandals, but not corruption. Conservatives, by contrast, punish men’s sex scandals on par with men’s involvement in corruption. And, conservatives assign women a penalty bonus for either type of scandal. That is, they are significantly more likely than liberals to punish women for involvement in either type of scandal – sex or corruption.
Controlled Interlayer Exciton Ionization in an Electrostatic Trap in Atomically Thin Heterostructures
Creators: name: Joe, Andrew Y.
name: Valdivia, Andrés M. Mier
name: Jauregui, Luis A.
name: Pistunova, Kateryna
name: Ding, Dapeng
name: Zhou, You
name: Scuri, Giovanni
name: De Greve, Kristiaan
name: Sushko, Andrey
name: Kim, Bumho
name: Taniguchi, Takashi
name: Watanabe, Kenji
name: Hone, James C.
name: Lukin, Mikhail D.
name: Park, Hongkun
name: Kim, Philip
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Atomically thin semiconductor heterostructures provide a two-dimensional (2D) device platform for creating high densities of cold, controllable excitons. Interlayer excitons (IEs), bound electrons and holes localized to separate 2D quantum well layers, have permanent out-of-plane dipole moments and long lifetimes, allowing their spatial distribution to be tuned on demand. Here, we employ electrostatic gates to trap IEs and control their density. By electrically modulating the IE Stark shift, electron-hole pair concentrations above $2\times10^{12}$ cm$^{-2}$ can be achieved. At this high IE density, we observe an exponentially increasing linewidth broadening indicative of an IE ionization transition, independent of the trap depth. This runaway threshold remains constant at low temperatures, but increases above 20 K, consistent with the quantum dissociation of a degenerate IE gas. Our demonstration of the IE ionization in a tunable electrostatic trap represents an important step towards the realization of dipolar exciton condensates in solid-state optoelectronic devices.
description: 14 pages, 4 main figures, 1 extended data figure
Scorpiops (Scorpiops) dastychi Kovarik 2000
Creators: name: Lourenço, Wilson R.
name: Ythier, Eric
Publisher: name: Zenodo
Year: 2022
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Scorpiones
Scorpiopidae
Scorpiops
Scorpiops dastychi

description: - S. (Scorpiops) dastychi Kovařík, 2000
India
description: Published as part of Lourenço, Wilson R. & Ythier, Eric, 2022, A new species of the genus Scorpiops Peters, 1861, subgenus Euscorpiops Vachon, 1980 from Laos (Scorpiones: Scorpiopidae), pp. 1-9 in Faunitaxys 10 (27) on page 2, DOI: 10.57800/faunitaxys-10(27), http://zenodo.org/record/15352467
title: NOAA Deep-Sea Coral Research and Technology Program
title: Priority scoping workshop report for the DSCRTP Southeast Research Initiative 2016-2019
titleType: Subtitle
Creators: name: Schull, Jennifer Clifford
name: Etnoyer, Peter J.
name: Wagner, Daniel
Publisher: name: U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Science Center
Year: 2016
Subjects: subject: Deep sea corals--Conservation--Atlantic Coast (South Atlantic States)--Congresses.

description: The National Oceanic and Atmospheric Administration (NOAA) Deep-Sea Coral Research and Technology Program (DSCRTP) was launched in 2009, following the reauthorization of the Magnuson-Stevens Fishery Conservation and Management Act (MSA). The goal is to provide scientific information needed to conserve and manage deep-sea coral ecosystems in the United States (NOAA 2008; Hourigan 2009). The Program is guided by the NOAA Strategic Plan for Deep-Sea Coral and Sponge Ecosystems, which aims to (1) produce sound science to support NOAA’s role in managing fishing impacts and to address threats to deep-sea coral ecosystems, (2) support conservation of deep-sea ecosystems in National Marine Sanctuaries, and (3) integrate the expertise and resources available across NOAA (NOAA 2010a). The Program works in consultation with regional fishery management councils and in partnership with other federal agencies and academic partners to support focused, three-year research initiatives in priority regions, through analysis of existing information about deep-sea coral ecosystems, studies of the distribution and intensity of fishing activities that impact deep-sea corals in federal waters, and investigations of coral and sponge bycatch in fisheries (NOAA 2010a). Since its inception, the DSCRTP has funded targeted research initiatives in the South Atlantic (2009-2011) (Figure 1), the West Coast (2010-2012), Alaska (2012-2014), the Northeast (2013-2015), and the Pacific Islands (2015-2017).
title: การพัฒนาสื่อการเรียนการสอนภาษาอังกฤษเพื่อการสื่อสารในบริบทจันทบุรีกรณีศึกษานักเรียนระดับชั้นประถมศึกษาปีที่ 5 และ 6 โรงเรียนบ้านทุ่งบอนและโรงเรียนวัดทองทั่ว จังหวัดจันทบุรี
Creators: name: กนกวรรณ อยู่ไสว
Publisher: name: คณะนิเทศศาสตร์ มหาวิทยาลัยราชภัฏรำไพพรรณี
publisherIdentifierScheme: ROR
Year: 2568
Subjects: สื่อการเรียนการสอน
ภาษาอังกฤษเพื่อการสื่อสาร
บริบทท้องถิ่นจันทบุรี

description: วารสารนวัตกรรมสังคมและเทคโนโลยีสื่อสารมวลชน, 8, 1, 1-13
Spin oscillations in neutrino gravitational scattering
Creators: name: Deka, Mridupawan
name: Dvornikov, Maxim
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We study neutrino spin oscillations while the particles scatter off a rotating black hole surrounded by a thick magnetized accretion disk. Neutrino spin precession is caused by the interaction of the neutrino magnetic moment with the magnetic field in the disk which has both toroidal and poloidal components. Our calculation of the observed neutrino fluxes, accounting for spin oscillations, are based on numerical simulations of the propagation of a great number of incoming test particles using High Performance Parallel Computing. The obtained results significantly improve our previous findings. We briefly discuss the applications for the observations of astrophysical neutrinos.
description: 7 pages in Revtex4.1, 6 eps figures; contribution to proceedings of XIX Workshop on High Energy Spin Physics, DSPIN-23 (September 4-8, 2023, JINR, Dubna, Russia); minimal changes; published in Phys.Atom.Nucl
title: ปัจจัยที่มีอิทธิพลต่อความตั้งใจซื้อสลากดิจิทัลของสำนักงานสลากกินแบ่งรัฐบาลผ่านแอปพลิเคชั่น เป๋าตัง
Creators: name: อนุสรณ์ สถาพร
Publisher: name: คณะนิเทศศาสตร์ มหาวิทยาลัยราชภัฏรำไพพรรณี
publisherIdentifierScheme: ROR
Year: 2568
Subjects: การยอมรับเทคโนโลยี
การคล้อยตามกลุ่มอ้างอิง
การรับรู้ความเสี่ยง
ความตั้งใจผู้ใช้งาน
สลากดิจิทัล

description: วารสารนวัตกรรมสังคมและเทคโนโลยีสื่อสารมวลชน, 8, 1, 14-26
title: นวัตกรรมการบริหารงานทรัพยากรมนุษย์ของสถาบันอุดมศึกษาในกำกับของรัฐในทศวรรษหน้า
Creators: name: นงนุช ล่วงพ้น
Publisher: name: คณะนิเทศศาสตร์ มหาวิทยาลัยราชภัฏรำไพพรรณี
publisherIdentifierScheme: ROR
Year: 2568
Subjects: นวัตกรรมการบริหารทรัพยากรมนุษย์
สถาบันอุดมศึกษาในกำกับของรัฐ
การวิจัยอนาคต

description: วารสารนวัตกรรมสังคมและเทคโนโลยีสื่อสารมวลชน, 8, 1, 27-40
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines
Creators: name: Schuman, Daniëlle
name: Sünkel, Leo
name: Altmann, Philipp
name: Stein, Jonas
name: Roch, Christoph
name: Gabor, Thomas
name: Linnhoff-Popien, Claudia
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Emerging Technologies (cs.ET)
subject: Machine Learning (cs.LG)
subject: Image and Video Processing (eess.IV)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Quantum Transfer Learning (QTL) recently gained popularity as a hybrid quantum-classical approach for image classification tasks by efficiently combining the feature extraction capabilities of large Convolutional Neural Networks with the potential benefits of Quantum Machine Learning (QML). Existing approaches, however, only utilize gate-based Variational Quantum Circuits for the quantum part of these procedures. In this work we present an approach to employ Quantum Annealing (QA) in QTL-based image classification. Specifically, we propose using annealing-based Quantum Boltzmann Machines as part of a hybrid quantum-classical pipeline to learn the classification of real-world, large-scale data such as medical images through supervised training. We demonstrate our approach by applying it to the three-class COVID-CT-MD dataset, a collection of lung Computed Tomography (CT) scan slices. Using Simulated Annealing as a stand-in for actual QA, we compare our method to classical transfer learning, using a neural network of the same order of magnitude, to display its improved classification performance. We find that our approach consistently outperforms its classical baseline in terms of test accuracy and AUC-ROC-Score and needs less training epochs to do this.
description: 7 pages, 3 figures (5 if counting subfigures), 1 table. To be published in the proceedings of the 2023 IEEE International Conference on Quantum Computing and Engineering (QCE)
Scorpiops (Scorpiops) feti Kovarik 2000
Creators: name: Lourenço, Wilson R.
name: Ythier, Eric
Publisher: name: Zenodo
Year: 2022
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Scorpiones
Scorpiopidae
Scorpiops
Scorpiops feti

description: - S. (Scorpiops) feti Kovařík, 2000
India
description: Published as part of Lourenço, Wilson R. & Ythier, Eric, 2022, A new species of the genus Scorpiops Peters, 1861, subgenus Euscorpiops Vachon, 1980 from Laos (Scorpiones: Scorpiopidae), pp. 1-9 in Faunitaxys 10 (27) on page 2, DOI: 10.57800/faunitaxys-10(27), http://zenodo.org/record/15352467
Smoothness and Blow-Up Prevention with Recursive Splitting
Creators: name: Francesco D'Agostino
Publisher: name: Zenodo
Year: 2025

description: This study, combining recursive splitting and manifold embedding is introduced to control energy dissipation, nonlinear energy transfer, and gradient growth in turbulent flows. Global energy conservation and uniform bounds in all Sobolev norms are rigorously established, thereby precluding finite-time blow-up and ensuring the existence of unique, globally smooth solutions.
Coevolution and encoding of fuzzy systems, and multiobjective optimisation
Creators: name: Young, Nicholas
Publisher: name: CQUniversity
Year: 2024
Subjects: classificationCode: 460605
subject: Distributed systems and algorithms

description: This thesis covers several topics relevant to the design of fuzzy systems using evolutionary algorithms (EAs), with application to control problems and constrained multiobjective problems.Encoding is a fundamental part of any EA. The solution encoding, and its interactions with the EA's operators, should be designed to minimise arbitrary search bias. A multidimensional encoding suitable for fully specified fuzzy logic rulebases is investigated, and is shown to have better convergence than traditional single -dimensional encoding. By comparison with 2 -point and uniform crossover, the improvement is attributed to the elimination of dimensional encoding bias.The "curse of dimensionality" is the exponential growth of the search space as the number of decision variables increases. In particular, encoding a fully specified fuzzy logic rulebase can result in a prohibitively large search space. Cooperative coevolution and hierarchical fuzzy rulebases both mitigate the curse of dimensionality through modularity, for evolutionary algorithms and fuzzy systems respectively, and these techniques are shown to be highly compatible with one another. The evolutionary convergence, hierarchical design, and opportunity for parallel computation are analysed for the combined techniques.Most real -world problems are characterised by multiple, conflicting objectives, and are subject to multiple constraints. Multiobjective optimisation, particularly constrained multiobjective optimisation, is investigated using control and function optimisation benchmark problems.Two multiobjective diversity measures, hypervolume and distance -to -neighbours, are quantitatively analysed: hypervolume is found to more accurately identify the Pareto front, and distance -to neighbours is found to distribute solutions more uniformly. The inverted pendulum is used as a case study to qualitatively investigate multiobjective design and optimisation of a control problem.This thesis presents the reconciliation of objective optimisation and constraint satisfaction as the main challenge facing any constrained multiobjective optimisation algorithm, and identifies and investigates two strategies for reconciliation: extended dominance, and blended space.A novel blended space algorithm - the Blended Rank Evolutionary Algorithm (BREA) -is proposed. BREA dynamically maintains trade-offs between objective optimisation, constraint satisfaction, and population diversity, in order to better identify the Pareto optimal set of solutions in difficult problems. BREA is very favourably compared to the extended dominance algorithm NSGA-II on the nonlinear crop -rotation problem, improving both solution quality and reliability.
Non-trivial saddles in microscopic description of black holes
Creators: name: Kumar, Pranav
name: Mondal, Swapnamay
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Non-trivial gravitational saddles have played a key role in the island proposal for the black hole information paradox. It is worth asking if non-trivial saddles exist in microscopic descriptions of black holes. We show this to be the case for 1/8 BPS black holes in N = 8 String Theory in a duality frame, where all charges are Ramond Ramond. The saddles are in the Coulomb branch, where they describe marginally stable bound states of the constituent branes, and correspond to vacua of the BFSS model. The non-perturbative suppression scale is determined by the binding energy.
title: Water Quality in a Suburban Stormwater Pond: A Continuous Monitoring Study
Creators: name: Davis, Jacqueline
Publisher: name: George Mason University
Year: 2022
Subjects: subject: Continuous monitoring
subject: Water quality
subject: Harmful algal blooms
subject: Stormwater pond
subject: Environmental management
subject: Phytoplankton

description: Stormwater ponds are often assumed to be well-mixed reactors. To better understand the water quality of stormwater ponds, the seasonal and diel water quality patterns of the Potomac Science Center stormwater pond were discerned using weekly depth profiles, continuous monitors, light profiles, and local weather stations from July through October of 2020. Water samples were also collected for analysis of total suspended solids, in situ chlorophyll a, and phytoplankton taxa. Results indicated the pond experienced summer stratification driven by air temperature and solar radiation. For the period July 24 through August 29, biological processes drove the water quality of the pond's 10-day stable periods, which were disrupted by three mixing events. No surface HABs were observed, but the lower layers of the pond experienced hypoxia and a HAB. Ultimately, the pond performs its intended function: to allow the settling of organic matter to the bottom layers so the surface waters maintain good water quality.
title: Word Play for Kids: A Sourcebook of Poems, Rhymes, and Read-Alouds by Tim Wadham
Creators: name: Driscoll, Anne
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Childplay
subject: Book review
subject: Reading

description: Word Play for Kids is geared toward public and school librarians. This program uses a variation on librarian Katie Blake's ChildRead and Shared Warmth reading programs. The book is divided into four chapters, each with its own unique focus. The key to success with this reading program is interactivity. Children are not just passive listeners; they read and recite poetry, listen to a story, then take part in a hands-on activity related to the story.
Cornelia Herberichs, Norbert Kössinger & Stephanie Seidl (Hg.): Liturgie und Literatur—Historische Fallstudien
Creators: name: Gruber-Scheller, Bettina
Publisher: name: Ruhr-Universität Bochum
Year: 2016

description: This contribution offers a review of:

Cornelia Herberichs, Norbert Kössinger & Stephanie Seidl (Hg.): Liturgie und Literatur—Historische Fallstudien.
Berlin/Boston: De Gruyter, 2015. 371 pages, € [D] 99.95, ISBN 978-3-11-037759-0.
description: Entangled Religions, Vol 3 (2016)
title: นวัตกรรมทางธุรกิจเพื่อยกระดับผลการดำเนินงานของธุรกิจเกษตรอินทรีย์ในจังหวัดพะเยา
Creators: name: วนัสนันท์ ธรรมยศ
Publisher: name: คณะนิเทศศาสตร์ มหาวิทยาลัยราชภัฏรำไพพรรณี
publisherIdentifierScheme: ROR
Year: 2568
Subjects: นวัตกรรมทางธุรกิจ
ผลการดำเนินงาน
เกษตรอินทรีย์
จังหวัดพะเยา

description: วารสารนวัตกรรมสังคมและเทคโนโลยีสื่อสารมวลชน, 8, 1, 41-55
Bärbel Beinhauer-Köhler, Mirko Roth & Bernadette Schwarz-Boenneke (Hg.): Viele Religionen—ein Raum?! Analysen, Diskussionen und Konzepte
Creators: name: Weiß, Sabrina
Publisher: name: Ruhr-Universität Bochum
Year: 2016

description: This contribution offers a review of:

Bärbel Beinhauer-Köhler, Mirko Roth & Bernadette Schwarz-Boenneke (Hg.): Viele Religionen—ein Raum?! Analysen, Diskussionen und Konzepte.
Berlin: Frank & Timme, 2015. 240 pages, € 24,80, ISBN 978-3-7329-0065-7 (flexcover).
description: Entangled Religions, Vol 3 (2016)
title: Iterative modeling of heat plume interactions of geothermal heat pumps
Creators: name: Zhang, Xiaoyu
Publisher: name: Universität Stuttgart
Year: 2024
Subjects: subject: 004

description: Open-loop groundwater heat pumps (GWHP) offer a climate-friendly solution for the energy intensive task of cooling and heating buildings. They extract groundwater from the aquifer to cool or heat buildings, before reinjecting the water back into the subsurface. As a result, heat plumes form around the injection point. In areas with a high density of GWHP systems, optimizing the placement of extraction and injection wells is crucial for ensuring high efficiency, which requires highly accurate estimations of heat plumes in the aquifer. Previous work primarily relies on a two-stage approach using convolutional neural networks (CNNs) to approximate groundwater temperatures. In contrast, this work explores an iterative single-stage estimation approach. To achieve this, the input parameters are expanded to provide the CNN with additional temperature information, allowing it to estimate the global domain iteratively. The results of this study demonstrate that a single-stage approach is feasible for estimating the global domain. However, it comes with a significant increase in computational cost and slightly reduced accuracy. Further research is necessary to fully explore the potential of this alternative method and optimize its performance.
description: Grundwasserwärmepumpen (GWHP) bieten eine klimafreundliche Lösung für die energieintensive Aufgabe der Kühlung und Heizung von Gebäuden. Sie funktionieren indem sie Grundwasser aus dem Untergrund entnehmen, es vewenden um ein Gebäude zu kühlen/heizen, bevor sie das verwendetet Wasser wieder in die Grundwasserschicht einleiten. Infolgedessen bilden sich Wärmefahnen um die Einspeisestelle. In Gebieten mit einer hohen Dichte an GWHP-Anlagen ist die Optimierung der Platzierung von Entnahme- und Einspeisebrunnen für die Aufrechterhaltung ihrer Effizienz von entscheidender Bedeutung, was eine äußerst genaue Abschätzung der Wärmefahnen in der Grundwasserschicht erfordert. Frühere Arbeiten stützten sich in erster Linie auf einen zweistufigen Ansatz, bei dem Convolutional Neural Networks (CNN) zur Annäherung der Grundwassertemperaturen verwendet werden. Im Gegensatz dazu wird in dieser Arbeit ein iterativer einstufiger Ansatz untersucht. Dafür wurden die Eingangsparameter erweitert um das CNN mit ausreichenden Informationen zu versorgen, die es ihm ermöglichen, das Temperaturfeld eines großen Gebietes mit vielen GWHPs iterativ vorherzusagen. Die Ergebnisse dieser Arbeit zeigen, dass ein einstufiger Ansatz für die Schätzung des globalen Bereichs machbar ist. Allerdings ist er mit einem erheblichen Anstieg der Rechenkosten und einer leicht verringerten Genauigkeit verbunden. Weitere Forschungsarbeit ist erforderlich, um das Potenzial dieser alternativen Methode voll auszuschöpfen und ihre Leistung zu optimieren.
Event-Based Contrastive Learning for Medical Time Series
Creators: name: Jeong, Hyewon
name: Oufattole, Nassim
name: Mcdermott, Matthew
name: Balagopalan, Aparna
name: Jangeesingh, Bryan
name: Ghassemi, Marzyeh
name: Stultz, Collin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In clinical practice, one often needs to identify whether a patient is at high risk of adverse outcomes after some key medical event. For example, quantifying the risk of adverse outcomes after an acute cardiovascular event helps healthcare providers identify those patients at the highest risk of poor outcomes; i.e., patients who benefit from invasive therapies that can lower their risk. Assessing the risk of adverse outcomes, however, is challenging due to the complexity, variability, and heterogeneity of longitudinal medical data, especially for individuals suffering from chronic diseases like heart failure. In this paper, we introduce Event-Based Contrastive Learning (EBCL) - a method for learning embeddings of heterogeneous patient data that preserves temporal information before and after key index events. We demonstrate that EBCL can be used to construct models that yield improved performance on important downstream tasks relative to other pretraining methods. We develop and test the method using a cohort of heart failure patients obtained from a large hospital network and the publicly available MIMIC-IV dataset consisting of patients in an intensive care unit at a large tertiary care center. On both cohorts, EBCL pretraining yields models that are performant with respect to a number of downstream tasks, including mortality, hospital readmission, and length of stay. In addition, unsupervised EBCL embeddings effectively cluster heart failure patients into subgroups with distinct outcomes, thereby providing information that helps identify new heart failure phenotypes. The contrastive framework around the index event can be adapted to a wide array of time-series datasets and provides information that can be used to guide personalized care.
description: Accepted at Unifying Representations in Neural Models Workshop in NeurIPS 2023, MLHC 2024
title: Note: John A. Bell to Mr. Haar, January 7, 1969
Creators: name: Bell, John A.
Publisher: name: George Mason University
Year: 2006
Subjects: subject: New communities

description: Textual: Note, copy; 11” x 8.5” (27.9 cm x 21.6 cm)
description: Note from John A. Bell to Mr. Haar dated January 7, 1969. This note discusses some of the basic aspects of a new community project. Bell focused his discussion four-skill areas that he felt were important to a new community development. Commitment, financing, construction skills, and political skills are the four characteristics discussed. Planned Community Archives Collection, 484.20
title: แนวทางการจัดการสื่อสารการปฏิบัติงานประกันคุณภาพการศึกษาภายในตามเกณฑ์คุณภาพการศึกษาเพื่อการดำเนินการที่เป็นเลิศ (EdPEx) กรณีศึกษา : คณะนิเทศศาสตร์ มหาวิทยาลัยราชภัฏรำไพพรรณี
Creators: name: ดารุณี พละการ
Publisher: name: คณะนิเทศศาสตร์ มหาวิทยาลัยราชภัฏรำไพพรรณี
publisherIdentifierScheme: ROR
Year: 2568
Subjects: การจัดการสื่อสาร
เกณฑ์คุณภาพการศึกษาเพื่อการดำเนินการที่เป็นเลิศ
คณะนิเทศศาสตร์ มหาวิทยาลัยราชภัฏรำไพพรรณี

description: วารสารนวัตกรรมสังคมและเทคโนโลยีสื่อสารมวลชน, 8, 1, 56-63
Physicochemical and Atomic Characterization of Silver Powder after Biofield Treatment
Creators: name: Trivedi, Mahendra
Publisher: name: SMN - The ScienceMedia Network
Year: 2016
Subjects: Natural Sciences
Chemistry

description: Silver is widely utilized as antimicrobial agent and wound dressing, where its shape, size, surface area, and surface charge play an important role. The aim of present study was to evaluate the impact of biofield treatment on physicochemical and atomic properties of silver powder. The silver powder was divided into two groups, coded as control and treatment. The treatment group received Mr. Trivedi’s biofield treatment. Subsequently, control and treated samples were characterized using particle size analyzer, X-ray diffraction (XRD) and surface area analyser. Particle size data exhibited that particle sizes d10, d50, d90, and d99 (Size, below which 10, 50, 90, and 99% particle are present, respectively) of treated silver powder were substantially reduced up to 95.8, 89.9, 83.2, and 79.0% on day 84 as compared to control. XRD results showed that lattice parameter, unit cell volume, and atomic weight were reduced, whereas density and nuclear charge per unit volume were found to be increased as compared to control. In addition, the crystallite size was significantly reduced up to 70% after biofield treatment on day 105 as compared to control. Furthermore, the surface area of treated silver powder was substantially enhanced by 49.41% on day 68 as compared to control. These findings suggest that biofield treatment has significantly altered the atomic and physicochemical properties which could make silver more useful in antimicrobial applications.
Species delimitation in Penicillium and Aspergillus: current and future approaches
Creators: name: Sklenář, František
name: Hubka, Vit
Publisher: name: Zenodo
Year: 2025
Subjects: subject: Aspergillus
subject: Penicillium

description: A poster presented at International Mycological Congress, IMC12 | 11-15 August 2024 | Maastricht, Netherlands. The poster presents current trends of the species delimitation methods in fungi.
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning
Creators: name: Hoang, Huy
name: Mai, Tien
name: Varakantham, Pradeep
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: A popular framework for enforcing safe actions in Reinforcement Learning (RL) is Constrained RL, where trajectory based constraints on expected cost (or other cost measures) are employed to enforce safety and more importantly these constraints are enforced while maximizing expected reward. Most recent approaches for solving Constrained RL convert the trajectory based cost constraint into a surrogate problem that can be solved using minor modifications to RL methods. A key drawback with such approaches is an over or underestimation of the cost constraint at each state. Therefore, we provide an approach that does not modify the trajectory based cost constraint and instead imitates ``good'' trajectories and avoids ``bad'' trajectories generated from incrementally improving policies. We employ an oracle that utilizes a reward threshold (which is varied with learning) and the overall cost constraint to label trajectories as ``good'' or ``bad''. A key advantage of our approach is that we are able to work from any starting policy or set of trajectories and improve on it. In an exhaustive set of experiments, we demonstrate that our approach is able to outperform top benchmark approaches for solving Constrained RL problems, with respect to expected cost, CVaR cost, or even unknown cost constraints.
Supplementary document for Imaging operator in Indirect Imaging Correlography - 6408613.pdf
Creators: name: Balaji, Muralidhar Madabhushi
name: Liu, Jiapeng
name: Ahsanullah, Danyal
name: Rangarajan, Prasanna
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplementary document
Scorpiops (Scorpiops) margerisonae Kovarik 2000
Creators: name: Lourenço, Wilson R.
name: Ythier, Eric
Publisher: name: Zenodo
Year: 2022
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Scorpiones
Scorpiopidae
Scorpiops
Scorpiops margerisonae

description: - S. (Scorpiops) margerisonae Kovařík, 2000
China
description: Published as part of Lourenço, Wilson R. & Ythier, Eric, 2022, A new species of the genus Scorpiops Peters, 1861, subgenus Euscorpiops Vachon, 1980 from Laos (Scorpiones: Scorpiopidae), pp. 1-9 in Faunitaxys 10 (27) on page 2, DOI: 10.57800/faunitaxys-10(27), http://zenodo.org/record/15352467