cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Rapporto Preliminare Sull'Attività In Emergenza Per L'Installazione Della Rete Gps Mobile E La Stima Delle Deformazioni Cosismiche Alle Stazioni Cgps
Creators: name: INGV Working Group "GPS Geodesy (GPS Data And Data Analysis Center)"
Publisher: name: Zenodo
Year: 2016
Subjects: Amatrice, GPS, coseismic, geodesy

description: In this study we use GPS measurements and field observations to infer the fault geometry and the amount of coseismic slip of the causative fault of the 24th August Mw 6.2 Amatrice earthquake. GPS data were analysed by the INGV National Earthquake Center (CNT) using the GIPSY-OASIS, GAMIT-GLOBK and BERNESE software. The final coseismic displacement filed was thus obtained from the combination of the three individual solutions by solving for the combined offstes (unknowns) in a least squares sense. The combined horizontal coseismic displacements for the 24th August mainshock show that the observed offsets are qualitatively consistent with a normal fault striking ~NW-SE and dipping to the SW. The largest displacements were measured at Amatrice (AMAT), which moved to the NW by ~2.5 cm and subsided by ~1.5 cm. Norcia (NRCI) and Leonessa (LNSS) moved SW-wards by ~2.4 and 2.3 cm, respectively, whereas Ascoli (ASCC), which was located on the footwall of the causative fault, moved northeastwards by ~1.4 cm. The other stations moved horizontally by <1 cm in a radius of ~50 km from the epicentre.

Preliminary modeling reveals that the causative fault strikes ~NW-SE and dips ~45° to the SW, with an average slip of ~0.6 m (rake -80°), which (using a value of 30 GPa for rigidity) gives an estimated seismic moment of of 2.2  X 1018 Nm. The variable slip model shows two main asperities with ~1 m of maximum slip, mostly contained within the uniform slip fault. The largest asperity lies at a depth of 1-7 km downdip of the observed surface ruptures sees at the base of the uppermost branch of the Mt. Vettore fault. The second asperity, located SE-wards of the hypocentre, show a more compact slip distribution confined between 3-6 km depth.
PROBLEMS OF REPATRIATION OF ASSETS ACQUIRED AS A RESULT OF CORRUPTION FROM ABROAD (USING THE EXAMPLE OF THE EXPERIENCE OF THE REPUBLIC OF UZBEKISTAN)
Creators: name: Boyturayev, Farhod
Publisher: name: Zenodo
Year: 2025

description: The article discusses the issues of repatriation of assets acquired through corruption from abroad and the experience of the Republic of Uzbekistan. During the study, special attention was paid to further improving the fight against corruption on the ground, analyzing the work carried out in Uzbekistan to recover assets acquired through corruption from abroad, the positive results achieved, shortcomings and problems.
title: Neural Control of Cardiac Function, Rhythm, and Contraction
Creators: name: O'Connell, Rachel
Publisher: name: George Mason University
Year: 2021
Subjects: subject: Nervous system
subject: Cardic

description: This literature review discusses how researchers can control cardiac cells with neural networks. The cardiac system is controlled by the autonomic nervous system and coordinates with the respiratory system. Numerous approaches evaluate the efficiency, malfunction, and abnormalities of this connection between brain and heart, through computational analysis, with pharmacological influences, and with physiological analysis. In Roger A. L. Dampney’s paper, he discusses how the connection between the nervous system and cardiovascular system is achieved through feedforward and feedback regulation to maintain homeostasis, while Y. Zhong et al. takes a more dynamic approach and manipulates the patients into supine and upright positions while administering the drug, atropine, which involuntarily blocks the nervous system from working. Lastly, X. Chen et al. derived new PNS and SNS indexes by multisignal analysis of cardiorespiratory variability using transfer functions and a combination of physiological and pharmacological experiments. He selected autonomic nervous system blockers to analyze the beta-sympathetic nervous system and its overlap with the parasympathetic nervous system. He sought to find where these systems overlap in low frequency bands and offer specific measurements of the cardiac autonomic nervous system due to inputs from heart rate. Overall, the purpose of the literature review is to study the techniques that are being used in research to evaluate the relationship between the nervous system and cardiovascular system. The literature review will range from computational analysis to physiological experiments and include the analysis of pharmacological influences on mediating the ANS. In the Introduction, I will explain some of the terminology that is necessary to understand the experiments that follow
title: Oxbow
Creators: name: Devlin, Alyssa
Publisher: name: George Mason University
Year: 2021
Subjects: subject: Poetry
subject: Adirondacks
subject: Skiing
subject: Natural world

description: This thesis has been embargoed for 10 years and will not be available until May 2030 at the earliest.
description: In these poems, I hope to capture the eddying nature of my relationship with the Adirondacks, where I grew up. It is a place whose wild lands are as unfamiliar to me as they are intimately known, and to whose woods I keep returning.
title: Scholarly Connections: Leveraging Citation Data to Highlight Faculty Research Trends
Creators: name: Hoffman, Kimberly
name: Leak, Carl
name: Kunaparaju, Vamsi
name: Kan, Teresa
name: Cocks, Sarah
Publisher: name: George Mason University
Year: 2018
Subjects: subject: Bibliometrics
subject: Research impact
subject: Multidisciplinary research

description: Presented at the poster presentation at the NIH Bibliometrics and Research Assessment Symposium on Tuesday, August 21, 2018 at the NIH campus in Bethesda, Maryland.
description: During the 2016-2017 academic year, George Mason University Libraries' Science and Technology Team began a project with an end goal of capturing trends in faculty research by creating visual representations of faculty citation data within the many institutes at the university. The project continued in 2017-2018 by expanding to include the work of faculty at the Krasnow Institute, which is the focus of this presentation. Vamsi Kunaparaju, a graduate student in the Data Analytics Program in the Volgeneau School of Engineering, has worked with the library staff to provide a chronological view of faculty work and how research topics have evolved over time among these researchers. In addition, this presentation will compare the challenges faced during the process of analyzing citation data from the Krasnow Institute as opposed to the data from the first institute evaluated which was the Center for Applied Proteomics and Molecular Medicine. Finally, as the library partners with graduate assistants in the future who have data analysis skills, the objective is to provide both faculty and library staff with a firmer grasp on faculty interactions through the lens of publishing habits. This initiative can serve as a strategy to strengthen existing interdisciplinary partnerships as well as an impetus for new partnerships that faculty were unaware of previously.
title: A National Survey of Veterans Treatment Court Actors
Creators: name: Luna, Samantha
Publisher: name: George Mason University
Year: 2019
Subjects: subject: Veterans
subject: Specialty courts
subject: Violent crime
subject: Eligibility

description: Over 400 Veterans Treatments Courts (VTCs) have been implemented in the U.S. in the past 10 years (Flatley, Clark, Rosenthal, & Blue-Howells, 2017). During this time controversies surrounding VTCs have emerged (Yerramsetti, Simons, Connan & Stolar, 2017). For example, some VTCs exclude veterans who have committed violent offenses, which has sparked debate (Cartwright, 2011; Kravetz, 2012). Another controversy surrounds requiring a direct relationship between a veteran’s charges and mental health diagnosis (Yerramsetti et al., 2017). This aim of this thesis was to examine VTC actors’ perceptions of these two controversial issues via a national survey. VTC judges, coordinators, and Veterans Justice Outreach specialists were presented with two randomly assigned hypothetical clients in a 2 (Crime type: involuntary manslaughter and domestic violence) x 2 (Diagnosis: post-traumatic stress disorder and alcohol use disorder) within-subjects’ factorial design and asked for their perceptions of hypothetical clients’ eligibility for VTC. Participants were also asked their perceptions of controversial VTC issues and to describe the current practices of the VTCs they work with. Results indicated that participants were supportive of the domestic violence client’s participation in VTC, regardless of diagnosis, however most participants were not supportive of the involuntary manslaughter clients’ participation in VTC. Implications future research and policy are discussed.
title: Charting the Future for Newspapers
Creators: name: Kelly, Jonathan
Publisher: name: George Mason University
Year: 2010
Subjects: subject: Newspaper
subject: Journalism
subject: Online
subject: Print
subject: Revenue
subject: Business

description: In this research thesis, I am attempting to demonstrate that newspapers, despite their current financial troubles, can nevertheless survive and prosper in the digital, new-media era if they can find more reliable ways of raising revenue. No newspaper can hope to succeed in the contemporary media landscape unless it can adjust its business model to meet the challenges presented by Internet-based news. With large amounts of news and information available for free on the World Wide Web, newspapers need to reconsider their traditional business model in order to remain relevant and competitive. Based on my research into numerous proposed economic models for print publications, I believe that the most favorable newspaper business model would be a combination of selective electronic paid content and Web-based advertising. A model in which newspapers display some of their online content for free, hide other content behind a pay wall, and make extensive use of Web advertising is, in my view, the model that is most likely to enable print publications to prosper over the long term. Combined with using the latest online media technologies, newspapers will be able to continue their role as disseminators of news, analysis and opinion.
title: A Social Network Analysis of Emergent International Communities: A Global Discussion about the 2013-2014 Ukrainian Crisis
Creators: name: Schuchard, Ross J
Publisher: name: George Mason University
Year: 2015
Subjects: subject: Social network analysis
subject: Social media
subject: Community detection
subject: International relations
subject: Network analysis

description: Transnational global interactions observed through activities such as international voting measures, trade transactions and participations in alliances have historically provided researchers an opportunity to analyze international relations (IR) amongst national actors within the global power structure. In addition to these traditional macro-level global interactions, the recent emergence of social media has ushered in a new era of global connectivity amongst individual people throughout the world, thus enabling micro-level global interactions. This thesis provides a more holistic view of global international relations by capturing both macro-level and micro-level global interactions and viewing them as comparable networks. By using social network analysis (SNA) tools to detect emergent communities within networks, this thesis directly compared the community structure of two macro-level networks (United Nations General Assemble (UNGA) voting records and arms trade transaction networks) and one social media micro-level network (e.g. Twitter). The UNGA macro-level voting network served as a measure of validation for this approach by properly showing East-West geopolitical divisions during the Cold War and a North-South socio-economic division following the Cold War. The micro-level Twitter network was created from tweets harvested from conversations about the Ukrainian crisis from the initial Euromaidan protests in November 2013 through June 2014, which included the annexation of Crimea by Russia. The community detection results for the micro-level Ukrainian Twitter network shared the greatest similarity (0.42 on a 0-1 scale) with the UNGA Cold War community results. This result suggests that Ukrainian citizens did not shed their historical cultural roots that aligned themselves with the Cold War East-West geopolitical structure. Additionally, a further analysis evaluating the level of cooperation between the NATO alliance and Ukraine showed that there exists very little evidence of cooperation between the two entities in either the micro-level or macro-level networks.
MPEC 2025-J71 : DAILY ORBIT UPDATE (2025 May 8)
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2025
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
Integration of Computer Aided Design and Smart Textiles to Prepare Multi-Functional Sportswear: Diet-Facilitating Suit
Creators: Park, Jung Hyun
Suh, Minyoung
Satam, Dnyanada
Lee, Hoon Joo
Publisher: name: University of Alberta Library
Year: 2014

Due to increased pressures arising from technological advancements, new product design and development has become essential in many areas, including the sportswear sector. Recently, sports activities rely on emerging technologies to develop

textiles that have high performance value and varied applications. In addition, there is a growing emphasis on multi-functional smart sportswear since it enhances the wearers’ performance and protects their body from extreme conditions

during activities. Th erefore, the awareness of comfort should be promoted in sportswear R&D.

Sportswear can be both comfortable and multifunctional when smart technical design is combined with smart textile materials. Promoting this new type of product can generate a niche market in the sportswear industry, which has been rapidly

growing since the late 1990s.
A Study on Lampreys Population Based on Sex-Ratio-Related Growth-Balance Model
Creators: name: Ji, Zuhua
name: Chen, Jiarui
name: Wang, Zihang
Publisher: name: arXiv
Year: 2024
Subjects: subject: Populations and Evolution (q-bio.PE)
subject: Numerical Analysis (math.NA)
subject: FOS: Biological sciences
subject: FOS: Mathematics

description: Lampreys are one of the oldest species in the world, living longer than dinosaurs, which is related to the ability to change the sex ratio during their lifespan. In this paper, to understand how sex ratio and food quantity affect the population growth rate of lampreys, the researchers draw inspiration from the logistics model and established a model called EcoSexChange(ESC), which results in a population initially increasing and then stabilizing, a reasonable outcome that may apply to other organisms with significant differences in consumption between sexes. Subsequently, this paper develops the Sex Ratio Adaptation Eco Impact (SRAEI) model based on the ESC model using the ABM algorithm to simulate how the population of lampreys, whose lives are divided into seven stages, grows and stabilizes. Then introduces a sudden disaster factor in the middle of the simulation, while also comparing lampreys that cannot adjust their sex ratio. The results of this paper are of great reference significance for people to analyze the population changes of lampreys in different living environments, and they are also easy to apply to other species with large differences between males and females.
Supplementary document for Vertical tubular zinc oxide microcavity enables efficient colloidal quantum dot lasing - 6384145.pdf
Creators: name: zhou, chun
name: Yang, Xuyong
name: Meng, Wenyuan
name: Cao, Jin
name: Li, Wei
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplemental1 for vertical tubular zinc oxide microcavity based efficient colloidal quantum dot lasing
Adaptive Money Market Interest Rate Strategy Utilizing Control Theory
Creators: name: Boneh, Yuval
Publisher: name: arXiv
Year: 2024
Subjects: subject: Risk Management (q-fin.RM)
subject: Computational Finance (q-fin.CP)
subject: FOS: Economics and business

description: Decentralized Finance (DeFi) money markets have seen explosive growth in recent years, with billions of dollars borrowed in various cryptocurrency assets. Key to the safety of money markets is the implementation of interest rates that determine the cost of borrowing, and govern counterparty exposure and return. In traditional markets, interest rates are set by risk managers, portfolio managers, the Federal Reserve, and a myriad of other sources depending on the market function. DeFi enables an algorithmic approach that typically relies on interest rates being directly dependent on market utilization. The benefit of algorithmic interest rate management is the system's continual response to market behaviors in real time, and thus an inherent ability to mitigate risks on behalf of protocols and users. These interest rate strategies target an optimal utilization based on the protocol's risk threshold, but historically lack the ability to compensate for excessive or diminished utilization over time. This research investigates contemporary DeFi interest rate management strategies and their limitations. Furthermore, this paper introduces a time-weighted approach to interest rate management that implements a Proportional-Integral-Derivative (PID) control system to constantly adapt to market utilization patterns, addressing observed limitations.
title: Dislocation-engineered piezocatalytic water splitting in single-crystal BaTiO₃
Creators: name: Zhang, Yan
name: Feng, Kaiyu
name: Song, Miao
name: Xiang, Shan
name: Zhao, Yan
name: Gong, Hanyu
name: Ni, Fan
name: Dietrich, Felix
name: Fulanović, Lovro
name: Zhuo, Fangping
name: Buntkowsky, Gerd
name: Frömling, Till
name: Zhang, Dou
name: Bowen, Chris
name: Rödel, Jürgen
Publisher: name: The Royal Society of Chemistry
Year: 2025

description: The rapid development of society has exacerbated energy scarcity, making water splitting a promising solution for humanity to produce green hydrogen. Therefore, enhancing the relatively low catalytic performance of piezoelectric bulk catalysts is crucial to unlocking their potential for broader practical applications and potentially alleviating contemporary energy demands. Here, we introduce a sustainable doping strategy that deliberately imprints dislocations and their associated strain fields without additional elements into barium titanate single crystals to address the challenges faced by bulk piezoelectric catalysts. The presence of highly-oriented {100}〈100〉dislocations in plastically deformed materials was observed utilizing bright-field transmission electron microscopy. The strains induced by dislocations were mapped using high-angle annular dark-field and geometric phase analysis techniques. According to experimental observations and density functional theory calculations, the deformed materials exhibit superior performance in terms of electrical conductivity, ultrasonic response, and hydrogen adsorption-free energy. As result a nearly fivefold increase in piezoelectric catalytic performance, as compared to undeformed reference materials, is achieved. Our work demonstrates the potential of dislocation engineering to boost bulk piezoelectric catalysts, thereby challenging the current reliance on powder-based catalysts.
Enhancing Building Safety Design for Active Shooter Incidents: Exploration of Building Exit Parameters using Reinforcement Learning-Based Simulations
Creators: name: Liu, Ruying
name: Wu, Wanjing
name: Becerik-Gerber, Burcin
name: Lucas, Gale M.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: With the alarming rise in active shooter incidents (ASIs) in the United States, enhancing public safety through building design has become a pressing need. This study proposes a reinforcement learning-based simulation approach addressing gaps in existing research that has neglected the dynamic behaviours of shooters. We developed an autonomous agent to simulate an active shooter within a realistic office environment, aiming to offer insights into the interactions between building design parameters and ASI outcomes. A case study is conducted to quantitatively investigate the impact of building exit numbers (total count of accessible exits) and configuration (arrangement of which exits are available or not) on evacuation and harm rates. Findings demonstrate that greater exit availability significantly improves evacuation outcomes and reduces harm. Exits nearer to the shooter's initial position hold greater importance for accessibility than those farther away. By encompassing dynamic shooter behaviours, this study offers preliminary insights into effective building safety design against evolving threats.
Legal Conversations Between Italy and Brazil
Creators: name: Bellantuono, Giuseppe
name: Lara, Fabiano
Publisher: name: Universit� degli Studi di Trento
Year: 2018

description: The essays collected in this volume were presented at the Italy-Brazil Law Seminars held at the University of Trento, Faculty of Law, in December 2017. They reflect a long-term collaboration between the University of Trento and the Federal University of Minas Gerais in Belo Horizonte. The topics covered include anticorruption law, legal theory, consumer law, Internet law, the law of indigenous people, law and development. In each chapter, the authors try not only to provide an informed analysis of legal problems, but also to reflect on how they are defined in each legal system and whether current legal methodologies are fit for their purposes. The volume could be of interest to comparative legal scholars and policymakers in both Europe and Brazil.
Action Plan for the Application of the CoARA Principles in the Activities of the Research Council of Lithuania (2024-2028)
Creators: name: Research Council of Lithuania
Publisher: name: Zenodo
Year: 2025
Subjects: CoARA

description: The Research Council of Lithuania (RCL) has developed an action plan (2024–2028) for implementing CoARA principles within its activities, following the Agreement on Reforming Research Assessment signed in December 2022.
Summary of 2013 and 2015 Main Hawai‘ian Islands bottomfish research coordination workshops.
Creators: name: Yau, Annie
name: Oram, Risa
Publisher: name: U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Pacific Islands Fisheries Science Center
Year: 2016
Subjects: subject: Groundfishes--Research--Hawaii--Congresses.

description: There are many organizations and individuals that conduct research on bottomfish in the Main Hawai'ian Islands (MHI), including the National Oceanic and Atmospheric Administration (NOAA), National Marine Fisheries Service (NMFS), Pacific Islands Fisheries Science Center (PIFSC) which is responsible for conducting the fishery stock assessments to inform fishery management. Bottomfish make up a culturally and economically important fishery in the MHI. As such, they are the topic of many research efforts. Over the years, PIFSC has held several workshops to interact and collaborate with the broader bottomfish research community. Earlier workshops held to discuss bottomfish research include: the January 2004 Bottomfish Stock Assessment Workshop, the September 2006 Workshop to Evaluate Fishery-independent Approaches for Assessment of Hawai'i Bottomfish Resources, the August 2008 Bottomfish CPUE Standardization Workshop (Moffitt et al., 2011), and the September 2009 Deep Slope Bottomfish Ecosystem and Monitoring Workshop. A common goal among all these workshops was to coordinate and improve the research and analyses used to inform and support bottomfish stock assessments. This report summarizes the research, discussions, and priorities from two additional bottomfish research workshops held in 2013 and 2015. Anyone conducting, participating in, or contributing to research on bottomfish in the MHI was invited. The focus species were the Deep 7 bottomfish in the MHI: Opakapaka Pristipomoides filamentosus, Opakapaka Pristipomoides filamentosus, Kalekale P. sieboldii, Gindai P. zonatus, Onaga Etelis coruscans, Ehu E. marshi, currently being revised from E. carbunculus (Andrews et al., 2014), Lehi Aphareus rutilans, and Hapu'upu'upu Hyporthodus quernus. Workshop participants came from state and federal agencies, universities, non-profit organizations, and industry. This report serves as a basic guide to MHI bottomfish research because these two workshops covered all major research topics, although not every single project was covered due to logistical and time limitations. This report first provides a list of future research priorities that are the result of voting in 2015 by many in the bottomfish research community, followed by a general overview of the research currently being conducted on bottomfish in the MHI, the persons involved in this research, and the types of discussion topics of interest to the research community in 2013 and 2015. This report may be of interest to those who want to learn about the breadth and state of MHI bottomfish science, especially in the context of how it informs management of this fishery.
Ruhr University Bochum - CoARA Action Plan
Creators: name: Ruhr University Bochum
name: Riedel, Stefan
Publisher: name: Zenodo
Year: 2025
Subjects: CoARA Action Plan
Research Assessment

description: Ruhr University Bochum (RUB) signed the Agreement on Reforming Research Assessment (ARRA) and joined the Coalition for Advancing REsearch Assessment (CoARA) in the end of 2023. This working document outlines the university's action plan for the implementation of the principles and commitments of the ARRA. It has been elaborated by a designated committee at RUB and was apporved by the unversity's Rectorate in April 2024.
Assessing the Performance of Stateful Logic in 1-Selector-1-RRAM Crossbar Arrays
Creators: name: Tyagi, Arjun
name: Kvatinsky, Shahar
Publisher: name: arXiv
Year: 2024
Subjects: subject: Hardware Architecture (cs.AR)
subject: FOS: Computer and information sciences

description: Resistive Random Access Memory (RRAM) crossbar arrays are an attractive memory structure for emerging nonvolatile memory due to their high density and excellent scalability. Their ability to perform logic operations using RRAM devices makes them a critical component in non-von Neumann processing-in-memory architectures. Passive RRAM crossbar arrays (1-RRAM or 1R), however, suffer from a major issue of sneak path currents, leading to a lower readout margin and increasing write failures. To address this challenge, active RRAM arrays have been proposed, which incorporate a selector device in each memory cell (termed 1-selector-1-RRAM or 1S1R). The selector eliminates currents from unselected cells and therefore effectively mitigates the sneak path phenomenon. Yet, there is a need for a comprehensive analysis of 1S1R arrays, particularly concerning in-memory computation. In this paper, we introduce a 1S1R model tailored to a VO2-based selector and TiN/TiOx/HfOx/Pt RRAM device. We also present simulations of 1S1R arrays, incorporating all parasitic parameters, across a range of array sizes from $4\times4$ to $512\times512$. We evaluate the performance of Memristor-Aided Logic (MAGIC) gates in terms of switching delay, power consumption, and readout margin, and provide a comparative evaluation with passive 1R arrays.
description: 5 pages, 7 figures
Physical, Thermal, and Spectroscopic Characterization of Biofield Energy Treated Murashige and Skoog Plant Cell Culture Media
Creators: name: Trivedi, Mahendra
Publisher: name: SMN - The ScienceMedia Network
Year: 2016
Subjects: Natural Sciences
Chemistry

description: The Murashige and Skoog medium (MS media) is a chemically defined and widely used as a growth medium for plant tissue culture techniques. The present study was attempted to evaluate the impact of biofield energy treatment on the physical, thermal, and spectral properties of MS media. The study was performed in two groups; one was kept as control while another was subjected to Mr. Trivedi’s biofield energy treatment and coded as treated group. Afterward, both the control and treated samples were analyzed using various analytical techniques. The X-ray diffraction (XRD) analysis showed 19.92% decrease in the crystallite size of treated sample with respect to the control. The thermogravimetric analysis (TGA) showed the increase in onset temperature of thermal degradation (Tonset) by 9.41% and 10.69% in first and second steps of thermal degradation, respectively after the biofield energy treatment as compared to the control. Likewise, Tmax (maximum thermal degradation temperature) was increased by 17.43% and 28.61% correspondingly in the first and second step of thermal degradation in the treated sample as compared to the control. The differential scanning calorimetry (DSC) analysis indicated the 143.51% increase in the latent heat of fusion of the treated sample with respect to the control sample. The Fourier transform infrared spectroscopy (FT-IR) spectrum of treated MS media showed the alteration in the frequency such as 3165→3130 cm-1 (aromatic C-H stretching); 2813→2775 cm-1 (aliphatic C-H stretching); 1145→1137 cm-1 (C-N stretching), 995→1001 cm-1 (S=O stretching), etc. in the treated sample with respect to the control. The UV spectra of control and treated MS media showed the similar absorbance maxima (λmax) i.e. at 201 and 198 nm, respectively. The XRD, TGA-DTG, DSC, and FT-IR results suggested that Mr. Trivedi’s biofield energy treatment has the impact on physical, thermal, and spectral properties of the MS media. As a result, the treated MS media could be more stable than the control, and might be used as better media in the plant tissue culture technique.
LEDs Shed New Light on Color
Creators: Musante, Glenna B.
Publisher: name: University of Alberta Library
Year: 2014

A typical retail clothing store, especially one catering to a younger, fashion-forward customer, is likely a showcase for the latest clothing trends and hot seasonal colors. But increasingly, retail stores in China and Europe are also becoming showcases for another type of retail trend that has the potential to significantly change how consumers experience and

perceive the color of the clothes they buy. That trend is called LED lighting. Much cheaper in terms of power consumption than the fluorescent and incandescent lights traditionally used to illuminate stores, LED lighting technology is starting to replace other lighting sources in retail settings around the world.

LED light that offers a full color spectrum also has the potential to provide dramatic, vibrant, eye catching color

 communication in a retail setting, as well as a rich sense of fabric texture.
Supplementary document for Noninvasive material anisotropy estimation using oblique incidence reflectometry and machine learning - 6384245.pdf
Creators: name: Wang, Lezhong
name: Bigdeli, Siavash
name: Christensen, Anders
name: Corredig, Milena
name: Tonello, Riccardo
name: Dahl, Anders
name: Frisvad, Jeppe
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Rotation series
SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation
Creators: name: Juravsky, Jordan
name: Guo, Yunrong
name: Fidler, Sanja
name: Peng, Xue Bin
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: Graphics (cs.GR)
subject: FOS: Computer and information sciences

description: Physically-simulated models for human motion can generate high-quality responsive character animations, often in real-time. Natural language serves as a flexible interface for controlling these models, allowing expert and non-expert users to quickly create and edit their animations. Many recent physics-based animation methods, including those that use text interfaces, train control policies using reinforcement learning (RL). However, scaling these methods beyond several hundred motions has remained challenging. Meanwhile, kinematic animation models are able to successfully learn from thousands of diverse motions by leveraging supervised learning methods. Inspired by these successes, in this work we introduce SuperPADL, a scalable framework for physics-based text-to-motion that leverages both RL and supervised learning to train controllers on thousands of diverse motion clips. SuperPADL is trained in stages using progressive distillation, starting with a large number of specialized experts using RL. These experts are then iteratively distilled into larger, more robust policies using a combination of reinforcement learning and supervised learning. Our final SuperPADL controller is trained on a dataset containing over 5000 skills and runs in real time on a consumer GPU. Moreover, our policy can naturally transition between skills, allowing for users to interactively craft multi-stage animations. We experimentally demonstrate that SuperPADL significantly outperforms RL-based baselines at this large data scale.
Lite2Relight: 3D-aware Single Image Portrait Relighting
Creators: name: Rao, Pramod
name: Fox, Gereon
name: Meka, Abhimitra
name: R, Mallikarjun B
name: Zhan, Fangneng
name: Weyrich, Tim
name: Bickel, Bernd
name: Pfister, Hanspeter
name: Matusik, Wojciech
name: Elgharib, Mohamed
name: Theobalt, Christian
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Achieving photorealistic 3D view synthesis and relighting of human portraits is pivotal for advancing AR/VR applications. Existing methodologies in portrait relighting demonstrate substantial limitations in terms of generalization and 3D consistency, coupled with inaccuracies in physically realistic lighting and identity preservation. Furthermore, personalization from a single view is difficult to achieve and often requires multiview images during the testing phase or involves slow optimization processes.
 This paper introduces Lite2Relight, a novel technique that can predict 3D consistent head poses of portraits while performing physically plausible light editing at interactive speed. Our method uniquely extends the generative capabilities and efficient volumetric representation of EG3D, leveraging a lightstage dataset to implicitly disentangle face reflectance and perform relighting under target HDRI environment maps. By utilizing a pre-trained geometry-aware encoder and a feature alignment module, we map input images into a relightable 3D space, enhancing them with a strong face geometry and reflectance prior.
 Through extensive quantitative and qualitative evaluations, we show that our method outperforms the state-of-the-art methods in terms of efficacy, photorealism, and practical application. This includes producing 3D-consistent results of the full head, including hair, eyes, and expressions. Lite2Relight paves the way for large-scale adoption of photorealistic portrait editing in various domains, offering a robust, interactive solution to a previously constrained problem. Project page: https://vcai.mpi-inf.mpg.de/projects/Lite2Relight/
description: Accepted at SIGGRAPH '24: ACM SIGGRAPH 2024 Conference Papers
AirDnD -- Asynchronous In-Range Dynamic and Distributed Network Orchestration Framework
Creators: name: Dona, Malsha Ashani Mahawatta
name: Berger, Christian
name: Yu, Yinan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: The increasing usage of IoT devices has generated an extensive volume of data which resulted in the establishment of data centers with well-structured computing infrastructure. Reducing underutilized resources of such data centers can be achieved by monitoring the tasks and offloading them across various compute units. This approach can also be used in mini mobile data ponds generated by edge devices and smart vehicles. This research aims to improve and utilize the usage of computing resources in distributed edge devices by forming a dynamic mesh network. The nodes in the mesh network shall share their computing tasks with another node that possesses unused computing resources. This proposed method ensures the minimization of data transfer between entities. The proposed AirDnD vision will be applied to a practical scenario relevant to an autonomous vehicle that approaches an intersection commonly known as ``looking around the corner'' in related literature, collecting essential computational results from nearby vehicles to enhance its perception. The proposed solution consists of three models that transform growing amounts of geographically distributed edge devices into a living organism.
Discovery and Use of Images in the Biblissima Portal: Providing Access to Medieval and Renaissance Books via IIIF
Creators: name: Robineau, Régis
Publisher: name: Zenodo
Year: 2018
Subjects: IIIF
Interoperability
Metadata aggregation
Manuscripts

description: Presentation from the 2017 International Image Interoperability Framework (IIIF) Conference, held June 5-9 in The Vatican (Institutum Patristicum Augustinianum). Live demo (video) : https://www.youtube.com/watch?v=bAIDngKRp1g?cc_load_policy=1&hl=fr&vq=hd720
Law & Fiber
Creators: Pelc, Corrie
Publisher: name: University of Alberta Library
Year: 2014

In1996 and 1997, three teenaged girls were murdered in the small town of Spotsylvania, Virginia, USA. According to the Spotsylvania County Sheriff ’s Office, investigating officers knew the cases were linked and they were looking for a serial killer,

but despite all the evidence collected, the case went cold for over five years. Then in 2002, they received a break in the case—a suspect by the name of Richard Marc Evonitz had been arrested in South Carolina for kidnapping and sexually assaulting a teenaged girl.
Pole Analysis of the Inter-Replica Correlation Function in a Two-Replica System as a Binary Mixture: Mean Overlap in the Cluster Glass Phase
Creators: name: Frusawa, Hiroshi
Publisher: name: arXiv
Year: 2024
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Soft Condensed Matter (cond-mat.soft)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: To investigate the cluster glass phase of ultrasoft particles, we examine an annealed two-replica system endowed with an attractive inter-replica field similar to that of a binary symmetric electrolyte. Leveraging this analogy, we conduct pole analysis on the total correlation functions in the two-replica system where the inter-replica field will eventually be switched off. By synthesizing discussions grounded in the pole analysis with a hierarchical view of the free-energy landscape, we derive an analytical form of the mean overlap between two replicas within the mean field approximation of the Gaussian core model. This formula elucidates novel numerical findings observed in the cluster glass phase.
description: 18 pages, 3 figures, 2 tables
Planning Sustainable Energy Access in Tanzania using Energy Access Explorer
Creators: name: Machange, Susan Leonard
Publisher: name: Zenodo
Year: 2025

description: Energy access remains a critical challenge in Tanzania, especially in rural areas where millions lack reliable electricity. Achieving universal access to sustainable energy is essential for improving health, education, livelihoods, and economic development. To address this challenge, the Energy Access Explorer (EAE), developed by the World Resources Institute (WRI), offers a powerful, data-driven platform that supports planning and decision-making for sustainable energy expansion.

The EAE integrates diverse spatial datasets, including population density, current electricity infrastructure, renewable energy resources, and locations of key public services, to identify underserved communities with high potential for electrification.

This case study utilized the EAE to evaluate sustainable energy access in Tanzania. These insights can support the national energy goals outlined in the National Clean Cooking Strategy 2024-2034, National Energy Efficiency Strategy 2024-2034, and Mission300 Action Plan that contribute to global efforts under Sustainable Development Goal 7. The EAE enables stakeholders, including policymakers, investors, and non-government organizations such as TAREA, to plan more effectively and equitably, accelerating Tanzania’s transition to sustainable and inclusive energy access.
Digital Manuscripts Without Borders: A Discovery Platform of Manuscripts and Rare Books
Creators: name: Robineau, Régis
Publisher: name: Zenodo
Year: 2019
Subjects: IIIF
Interoperability
Metadata aggregation
Manuscripts
Rare books

description: Presentation from the 2019 International Image Interoperability Framework (IIIF) Conference, held June 24-28 in Göttingen, hosted by the University of Göttingen / Göttingen State and University Library. Video: https://www.youtube.com/watch?v=ok8K7l6-Rd8
An experimental evaluation of Siamese Neural Networks for robot localization using omnidirectional imaging in indoor environments
Creators: name: Cabrera, J. J.
name: Román, V.
name: Gil, A.
name: Reinoso, O.
name: Payá, L.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: The objective of this paper is to address the localization problem using omnidirectional images captured by a catadioptric vision system mounted on the robot. For this purpose, we explore the potential of Siamese Neural Networks for modeling indoor environments using panoramic images as the unique source of information. Siamese Neural Networks are characterized by their ability to generate a similarity function between two input data, in this case, between two panoramic images. In this study, Siamese Neural Networks composed of two Convolutional Neural Networks (CNNs) are used. The output of each CNN is a descriptor which is used to characterize each image. The dissimilarity of the images is computed by measuring the distance between these descriptors. This fact makes Siamese Neural Networks particularly suitable to perform image retrieval tasks. First, we evaluate an initial task strongly related to localization that consists in detecting whether two images have been captured in the same or in different rooms. Next, we assess Siamese Neural Networks in the context of a global localization problem. The results outperform previous techniques for solving the localization task using the COLD-Freiburg dataset, in a variety of lighting conditions, specially when using images captured in cloudy and night conditions.
description: Published: 08 July 2024 Paper link: https://link.springer.com/content/pdf/10.1007/s10462-024-10840-0.pdf
title: Home Maker
Creators: name: Chaudhary, Asma
Publisher: name: George Mason University
Year: 2013
Subjects: subject: Homemaker
subject: Chairs
subject: Sculpture
subject: Critical art practices
subject: Furniture design
subject: Domestication

description: This thesis serves as a literary catalogue, which documents the artistic process and critical insight into studio practice from the perspective of Asma Chaudhary, a Pakistani- American artist. It follows her journey through her academic studies in journalism, graphic design, sculpture, and into the completion of her Master of Fine Arts thesis exhibition. Following a one-year hiatus from artmaking, the artist realized her true passion for hands-on creativity instead of the restriction of a cubicle environment. She made the executive decision to take on the persona of a homemaker but with a twist. This character would be able to balance multiple demands at once—nurturing her family, maintaining a distinguished career as a businesswoman, and justifying her appetite for the fine arts. In her work, she takes a potentially derogatory word such as homemaker and then redefines it as something else to celebrate the ideas of home. Throughout her research, the artist conducted several social experiments, questioned gender roles and identities, and sampled a variety of materials and techniques to create engaging artworks.
title: E-Resources Usage Data-What We Have and How To Use It.
Creators: name: (:Unkn) Unknown
Publisher: name: George Mason University
Year: 2014
Subjects: subject: Research Subject Categories

description: Collection Development for academic libraries face many challenges in assessing use of electronic resources. Establishing a national measuring standard COUNTER, evolves as budgets are impacted by ever increasing costs. Learn how the standard has changed through the newly released version 4. Additionally, the usage project combined the application of the Hierarchical Interface to LC Classification (HILCC) to drill down into subject specific usage data analysis.
title: Swing-Up and Balancing Nonlinear Control for a Rotational Inverted Pendulum
Creators: name: Wang, Jiang
Publisher: name: Old Dominion University
publisherIdentifier: https://ror.org/04zjtrb98
publisherIdentifierScheme: ROR
Year: 2004

description: In this thesis, nonlinear controllers are designed for the swing-up and balance modes of a rotational inverted pendulum, which is a pendulum hinged on a horizontally rotating link. The proposed control algorithms are designed by partial feedback linearization and sliding mode control techniques, for swing-up and balancing respectively. First a mathematical model of the pendulum dynamics is derived, followed by experimental verification. Then the system model is partially linearized, which makes it possible for the system to track a simple desired trajectory with "pump energy" function. Then a swing-up controller is designed. For an under-actuated mechanical system, like the inverted pendulum studied here, only the actuated degree of freedom can be feedback linearized. The other part of the dynamics are the internal dynamics, which need to be analyzed during the design procedures. The resulting internal dynamics are analyzed to further understand the plant and control algorithm. A robust controller of the sliding mode type is designed next. The controllers are simulated within a MATLAB Simulink environment. The experiment is carried out based on the XPC target environment which can convert a Simulink model into executable real time code. Experimental implementation demonstrates the effectiveness of the control laws. Although the mathematical system model is close to the real plant, it still has some discrepancies shown in the comparison of simulation and experimental results. The effectiveness of the sliding mode control shows that this kind of controllers have certain robustness to uncertainties, which is the desired property of this design. The combined controller has another property which is that its gains are easy to tune. Thus the proposed controller provides a good test bed for experimental implementation.