cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Improved method for retrieving Arctic summer sea ice velocity based on FY-3D/MWRI brightness temperatures
Creators: name: Shi, Qian
name: Shi, Fei
name: Xu, Rui
name: Leppäranta, Matti
name: Zhai, Xiaochun
name: Liu, Jiping
name: Yang, Qinghua
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: Rapid decline in Arctic summer sea ice cover has brought new opportunities for shipping and resource exploitation in the Arctic, and accurate determination of summer sea ice conditions has become increasingly important. Knowledge of sea ice velocity (SIV) is crucial for ice engineering and navigation in the Arctic. This study retrieved SIV in summer based on the polarization difference (PD) of brightness temperatures (TBs) at 36 GHz derived from the recalibrated FY-3D satellite microwave radiometer data FY-3D/MWRI. Compared with swath TB data, swath PD data can better suppress the noise associated with atmospheric wetness (cloud liquid water and water vapor). Moreover, different from the arbitrary template selection scheme used in current algorithms, we propose an optimized template selection scheme based on the image texture, which considers the frequent deformation processes of sea ice in summer. Determination of SIV using templates with irregular distribution presents lower uncertainty and higher computational efficiency compared with templates with regular distribution. Based on the improved algorithm, this study obtained either swath irregular SIV fields with nominal spatial resolution of 30 km or daily gridded SIV fields with 50-km spatial resolution in summer 2019 using 36-GHz PDs.
Parametric/direct CAD integration
Creators: name: Zou, Qiang
Publisher: name: arXiv
Year: 2022
Subjects: subject: Graphics (cs.GR)
subject: Computational Geometry (cs.CG)
subject: FOS: Computer and information sciences
subject: I.3.5

description: In the history of computer-aided design (CAD), feature-based parametric modeling and boundary representation-based direct modeling are two of the most important CAD paradigms, developed respectively in the late 1980s and the late 2000s. They have complementary advantages and limitations, thereby offering huge potential for improvement towards an integrated CAD modeling scheme. Some believe that their integration will be the key characteristic of next generation CAD software. This paper provides a brief review on current parametric/direct integration approaches. Their basic ideas, advantages, and disadvantages will be discussed. The main result reads that existing integration approaches are far from being completed if seamless parametric/direct integration is desired. It is hoped that, by outlining what has already been made possible and what still remains problematic, more researchers will be attracted to work on this very important research topic of parametric/direct integration.
description: 12 pages; 3 figures
Route towards classical frustration and band flattening via optical lattice distortion
Creators: name: Saugmann, Pil
name: Vargas, José
name: Kiefer, Yann
name: Hachman, Max
name: Eichberger, Raphael
name: Hemmerich, Andreas
name: Larson, Jonas
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We propose and experimentally explore a method for realizing frustrated lattice models using a Bose-Einstein condensate held in an optical square lattice. A small lattice distortion opens up an energy gap such the lowest band splits into two. Along the edge of the first Brillouin zone for both bands a nearly flat energy-momentum dispersion is realized. For the excited band a highly degenerate energy minimum arises. By loading ultracold atoms into the excited band, a classically frustrated $XY$ model is formed, describing rotors on a square lattice with competing nearest and next nearest tunnelling couplings. Our experimental optical lattice provides a regime, where a fully coherent Bose-Einstein condensate is observed, and a regime where frustration is expected. If we adiabatically tune from the condensate regime to the regime of frustration, the momentum spectra shows a complete loss of coherence. Upon slowly tuning back to the condensate regime, coherence is largely restored. Good agreement with model calculations is obtained.
description: 5 pages, 3 figures
Zheng yun tong zong : si juan [volume 05]
正韻統宗 : 四卷 [第五冊]
Creators: name: Ren, Shitang
name: 任世鏜
Publisher: name: [China] : Wang Ji
Year: 2017

description: Wood-block printing, on double leaves, East Asian binding.
Edition: [Ke ben]
Monitoring tropical forest change using tree canopy cover time series obtained from Sentinel-1 and Sentinel-2 data
Creators: name: Li, Zhe
name: Ota, Tetsuji
name: Mizoue, Nobuya
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Space Science
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Science Policy

description: The most practical method for monitoring forest change over large areas is using remotely sensed data. However, given that current techniques are somewhat weak for monitoring small-scale forest disturbances, achieving accurate monitoring remains challenging, especially in tropical areas where selective and illegal logging occurs frequently. To further improve the ability to monitor forest changes, we estimated tree canopy cover (TCC) using Sentinel-1 and Sentinel-2 data. We developed an approach to monitor forest change on the obtained TCC time series. This approach was applied to monitor forest change in the Bago Mountains of Myanmar from 2017 to 2021. We then completed accuracy assessments and area estimation using reference data obtained from stratified random sampling and unbiased estimators. The final results indicated that: (1) in TCC estimation, Sentinel-1 played a limited role; the red-edge bands of Sentinel-2 achieved slightly different results to the other bands, and superior results were obtained by using all bands; (2) our method successfully mapped forest change with the overall accuracy of 93%. Furthermore, compared with the most widely used and the most recent approaches, our method was better at capturing forest disturbances.
title: Sport Development in the Caribbean: A Case Study of the Volleyball Movement within Barbados
Creators: name: Norton, Joseph
Publisher: name: George Mason University
Year: 2014
Subjects: subject: Youth sport development
subject: Sport diffusion
subject: Volleyball
subject: Barbados

description: Youth sport has risen as an area of interest to many researchers over recent years. A large portion of the attention regarding the development of youth sport has focused on products, outcomes, and results, of youth sport programs. Meanwhile, a lack of academic resources exist regarding the methodology of successful youth sport development programs. The purpose of this project and case study was to experience and explore the organizational structure and processes of volleyball as a sport institution in Barbados, and the potential for sport (volleyball) diffusion. Because cricket demands so much attention both in the overall sporting culture and within Barbadian popular culture, most other sports, with the exception of netball, receive little to no developmental assistance. As a participant observer, I collected and analyzed data related to the current operations of the Volleyball Development Branch of the Barbados Olympic Association. Overall, this research suggests the volleyball movement within Barbados is growing, yet still lacks the primary resources on which other countries rely for success. This study highlights current operations and efforts to increase visibility of and involvement in volleyball, as well as recommendations for further development of coaching, facilities, and policy.
title: Plan: Dan Coleman Associates, "Technical College Reston, Virginia," July 1, 1968
Creators: name: Associates, Dan Coleman
Publisher: name: George Mason University
Year: 2007
Subjects: subject: Reston (Va.)

description: Textual: plan, original; 13.5” x 9.5” (34.3 cm x 24.1 cm)
description: Plan by Dan Coleman Associates entitled "Technical College Reston, Virginia" dated July 1, 1968. This is the completed plan discussing a viability of locating a college in Reston, Virginia. The report details the potential student population, transportation and location for the campus. The excerpt given here shows an architect's rendering of a possible campus. Planned Community Archives Collection, rm03.04
TR2RM: an urban road network generation model based on multisource big data
Creators: name: Yang, Xue
name: Fan, Xiang
name: Su, Yichun
name: Guan, Qingfeng
name: Tang, Luliang
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Space Science
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Plant Biology
subject: FOS: Biological sciences

description: Road networks are an important part of transportation infrastructure through which people experience a city. The existing methods of vector map data generation mainly depend on a single data source, e.g. images, trajectories, or existing raster maps, which are limited by information fragmentation due to incomplete data. This study proposes an urban road network extraction framework named trajectory and remote-sensing image to RoadMap (TR2RM) based on deep learning technology by combining high-resolution remote sensing images with big trajectory data; this framework is composed of three components. The first component focuses on feature map generation by fusing remote sensing images with trajectories. The second component is composed of a novel neural network architecture denoted as AD-LinkNet, which is used to identify roads from the fused dataset of the first component. The last component is a postprocessing step that aims to generate the vector map accurately. Taking Rome, Beijing, and Wuhan as examples, we conduct extensive experiments to verify the effectiveness of the TR2RM. The results showed that the correctness of both the topology and geometry of the generated road network based on the TR2RM in Rome, Beijing, and Wuhan was 83.86% and 88.27%, 74.72% and 80.36%, and 73.83% and 77.7%, respectively.
Medical Diagnosis of Retinal Diseases Using Artificial Intelligence Deep Learning Models
Creators: name: James, Ethan
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 321201
subject: Ophthalmology

description: Over one billion people worldwide suffer from some level of vision loss or blindness as a result of progressive retinal diseases. Many patients, particularly in developing areas, are incorrectly diagnosed or undiagnosed whatsoever due to unconventional diagnostic tools and screening methods. Artificial intelligence (AI) based on deep learning (DL) convolutional neural networks (CNN) have recently gained a high interest in ophthalmology for its computer-imaging diagnosis, disease prognosis, and risk assessment. Optical coherence tomography (OCT) is a popular imaging technique used to capture high-resolution cross-sections of retinas. In ophthalmology, DL has been applied to fundus photographs, optical coherence tomography, and visual fields, achieving robust classification performance in the detection of various retinal diseases including macular degeneration, diabetic retinopathy, and retinitis pigmentosa. However, there is no complete diagnostic model to analyze these retinal images that provide a diagnostic accuracy above 90%. Thus, the purpose of this project was to develop an AI model that utilizes machine learning techniques to automatically diagnose specific retinal diseases from OCT scans. The algorithm consists of neural network architecture that was trained from a dataset of over 20,000 real-world OCT images to train the robust model to utilize residual neural networks with cyclic pooling. This DL model can ultimately aid ophthalmologists in diagnosing patients with these retinal diseases more quickly and more accurately, therefore facilitating earlier treatment, which results in improved post-treatment outcomes.
Supporting Faculty Writers and Teachers of Writing with Writing Across the Curriculum
Creators: name: Holmes, Caitlin
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: Resource/Opportunity; writing

description: George Mason University's award-winning Writing Across the Curriculum (WAC) program supports faculty writers, mentors of writers, and teachers of writing in all disciplines across campus. From Faculty Write-Ins to syllabus and assignment consultations, the WAC Program offers a variety of resources to faculty at Mason. This poster session will display new opportunities and resources that the WAC program will be offering during the 2015-2016 academic year, as well as take suggestions for workshops and events that faculty might find useful.

This poster session will also offer images and video from wac.gmu.edu website and our program's scholarly blog, The Writing Campus. The Writing Campus has become a nationally recognized professional development resource amongst scholars of writing. This session will solicit submissions from faculty at Mason who teach writing, specifically in the form of successful assignments, activities used to teach writing, or approaches to mentoring writers of all levels of skill.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
title: Potential of medium chain fatty acids production from municipal solid waste leachate: Effect of age and external electron donors
Creators: name: Saadoun, Lamia
name: Campitelli, Alessio
name: Kannengiesser, Jan
name: Stanojkovski, Daniel
name: El Alaoui El Fels, Abdelhafid
name: Mandi, Laila
name: Ouazzani, Naaila
Publisher: name: Elsevier
Year: 2022

description: A large quantity of leachate is generated during municipal solid waste collection operation and in landfills due to the large amount of organic waste and high humidity. The content of medium chain fatty acids (MCFAs) in the leachate is a low cost feedstock for bio-based chemical and fuel production processes. The aim of this study is to investigate the MCFA production potential of three leachate ages through chain elongation process under uncontrolled pH batch test. Moreover, the effect of using different external electron donors (ethanol, methanol and a mixture of both) is studied. The experiment consists of characterizing the samples then adding external electron donors with a specific ratio to leachate samples under mesophilic temperature. For this investigation, also a statistical analysis is done, which shows the production of MCFAs is highly influenced by leachate age. The results indicate that the production of even-numbered acids increase from 600 to 1,000 mg/L by the end of the ethanol chain elongation experiment for young leachate. However, a higher MCFA production of more than 1,000 mg/L is achieved by using the mixture of methanol and ethanol as electron donor. Furthermore, all methanol chain elongation experiments lead to an odd-numbered production of MCFAs, such as pentanoic and heptanoic acids. These results confirm the potential improvement of MCFA production from leachate through choosing the optimal leachate age and electron donor. Overall, producing MCFAs from leachate is a good example of circular bio-economy because waste is used to produce biochemicals, which closes the material cycle.
Chiplet Actuary: A Quantitative Cost Model and Multi-Chiplet Architecture Exploration
Creators: name: Feng, Yinxiao
name: Ma, Kaisheng
Publisher: name: arXiv
Year: 2022
Subjects: subject: Hardware Architecture (cs.AR)
subject: FOS: Computer and information sciences

description: Multi-chip integration is widely recognized as the extension of Moore's Law. Cost-saving is a frequently mentioned advantage, but previous works rarely present quantitative demonstrations on the cost superiority of multi-chip integration over monolithic SoC. In this paper, we build a quantitative cost model and put forward an analytical method for multi-chip systems based on three typical multi-chip integration technologies to analyze the cost benefits from yield improvement, chiplet and package reuse, and heterogeneity. We re-examine the actual cost of multi-chip systems from various perspectives and show how to reduce the total cost of the VLSI system through appropriate multi-chiplet architecture.
description: Accepted by and presented at DAC 2022
Mentoring University Faculty to Design, Develop, and Facilitate Asynchronous Online Discussions
Creators: name: Olesova, Larisa
name: Campbell, Susan
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: technology-enriched; scholarship of teaching and learning (SoTL)

description: This research-based presentation will demonstrate and discuss the findings on how using the Cooperative Mentorship Model at George Mason University impacted the quality of designing, developing, and facilitating asynchronous online discussions in online courses. The Cooperative Mentorship Model is a model where instructional designers mentor university faculty to develop online courses and programs of greater quality. The Model consists of four phases, including planning, production, teaching, and assessment of an online course. Presenters will explain the research and practice driving the mentorship process. Instructional Designers use current research findings to help faculty design, facilitate, and assess effective online discussions. Online discussion design included peer review, debates, role play, and case-based and problem-based discussions. During the presentation, they will also share their own research findings about faculty-perceived effectiveness of designing and using asynchronous online discussions compared with their previous teaching experiences. Findings from Blackboard course reports and course evaluations will also be reviewed. Fields included in this study were public policy, communication, urban studies, government, religion, film studies, nutrition, assistive technology, conflict resolution, and others.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Discussing the Elephant in the Classroom: Are We Erasing Diversity with Globalization?
Creators: name: King, Eden
name: Arminio, Jan
name: Kamal, Jumana
name: Crear, Joya
name: Manuel-Scott, Wendi
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: global education

description: This session will involve a facilitated discussion to address an increasingly relevant issue in higher education broadly, and at George Mason University in particular. The overarching question driving this event asks, "In what ways might the process of internationalizing our institutions of higher education influence diversity in teaching and learning spaces?"

Discussion facilitators will encourage participants to interrogate this idea with prompts such as:
• What does it mean to define diversity as international?
• Who is being "erased" or overlooked? Whose stories are told and whose are lost?
• What is being gained?
• Where and in what ways is this happening?
• Why might this be happening?

By raising these questions, we hope to inspire continuing discussions about teaching and learning in internationalized institutions.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
The Complete Stroke  of Cosmological dynamics
Creators: name: Rabbani, Hassan Rabbani
Publisher: name: Zenodo
Year: 2025
Subjects: • Quantum Gravity Corrections
Unification
• Nonlinear Time Recursion
• Quantum Recursive Cognition
• Entropy-Driven Economic Fluctuations

description: This paper introduces a mathematically rigorous Theory of Everything (TOE) that unifies recursion, entropy, and gravitational dynamics into a singular framework. Departing from string theory and loop quantum gravity, this theory is built upon a principle of Quantum Recursion, postulating that the interplay between entropy and energy operates through recursive temporal structures, leading to measurable deviations from classical and quantum expectations.

The core innovations are:

1. A Unified Field Equation governing recursive dynamics in quantum gravity.

2. A Time-Recursive Energy Equation that captures entropy-driven spacetime deformation.

3. A Stability Determinant Condition preventing singularities and ensuring mathematical self-consistency.

Key empirical predictions include:

- Black hole entropy corrections via recursive entropy-energy dynamics.

- Nonlinear spacetime curvature arising from multidimensional time.

- Quantum vacuum fluctuations altered by recursive shifts in Casimir regimes.

This work introduces a falsifiable and experimentally accessible TOE rooted in information flow, recursion, and entropy, serving as a potential bridge between general relativity and quantum mechanics.
Global assessment of vegetation patterns along topographic gradients
Creators: name: Liang, Tianchen
name: Tian, Feng
name: Zou, Linqing
name: Jin, Hongxiao
name: Tagesson, Torbern
name: Rumpf, Sabine
name: He, Tao
name: Liang, Shunlin
name: Fensholt, Rasmus
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Developmental Biology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Plant Biology

description: The complex topography in mountainous regions, exemplified by factors like slope aspect, leads to noticeable variations in vegetation patterns, which are fundamental for understanding mountain ecosystems. However, a consistent global-scale quantification of topography's influence on vegetation patterns is still lacking. Here, we utilize two phenological metrics as proxies for vegetation-maximum vegetation greenness and seasonal greenness amplitude-computed from Sentinel-2 images, to quantify differences across three topographic factors: slope aspect, steepness, and elevation within each 0.15°×0.15° mountain grid. Our mapping reveals clear geographic patterns indicating that topography strongly influences vegetation in arid and polar ecosystems, with an influence approximately 1.9 times higher than in temperate ecosystems. Topography is also important in humid regions, as demonstrated by diverse vegetation types growing on different slope aspects, steepness levels, and elevations. Additionally, the impacts of slope aspect, steepness, and elevation vary within the same region. In 25.9% of mountain grids, slope aspect causes the largest difference in vegetation patterns, while elevation and steepness account for 43.1% and 31%, respectively. Our study highlights the hotspot areas where topographic effects on vegetation patterns are most pronounced, enabling researchers to focus on these regions for better parameterization of Earth system models.
Strategies for Demystifying the Concept of Critical Thinking for International Students
Creators: name: Wang, Lihong
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: global; multilingual students?

description: Student mobility or study abroad seems to have become a "new normal" in this ever increasingly connected world and highlights the cultural issues of teaching and learning in the educational "contact zones." The presence of large population of international students poses teaching and learning challenges to the host universities. This presentation is based on an ethnographic longitudinal study of a group of Confucian heritage culture (CHC) learners' perceptions of the required practice of critical thinking during their overseas study in an Western (Anglophone) learning culture. In view of the ambivalent and inconsistent findings on internationalâ€”especially Asian students'â€”receptiveness of critical learning in Western educational institutions, this study is intended to demystify "critical thinking" by depicting a learning trajectory of how these students were grappling with this learning requirement in the new learning culture. This presentation focuses on an intercultural educational and additive approach and their related strategies that can be adopted by the faculty of western host universities in order to develop international students' understanding and practice of critical thinking by focusing on what the student does instead of what the student is or which culture they are from.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Control Barrier Function Based Design of Gradient Flows for Constrained Nonlinear Programming
Creators: name: Allibhoy, Ahmed
name: Cortés, Jorge
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optimization and Control (math.OC)
subject: Systems and Control (eess.SY)
subject: FOS: Mathematics
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper considers the problem of designing a continuous-time dynamical system that solves a constrained nonlinear optimization problem and makes the feasible set forward invariant and asymptotically stable. The invariance of the feasible set makes the dynamics anytime, when viewed as an algorithm, meaning it returns a feasible solution regardless of when it is terminated. Our approach augments the gradient flow of the objective function with inputs defined by the constraint functions, treats the feasible set as a safe set, and synthesizes a safe feedback controller using techniques from the theory of control barrier functions. The resulting closed-loop system, termed safe gradient flow, can be viewed as a primal-dual flow, where the state corresponds to the primal variables and the inputs correspond to the dual ones. We provide a detailed suite of conditions based on constraint qualification under which (both isolated and nonisolated) local minimizers are stable with respect to the feasible set and the whole state space. Comparisons with other continuous-time methods for optimization in a simple example illustrate the advantages of the safe gradient flow.
description: Full version, with appendix, of work appearing in IEEE Transactions on Automatic Control
The Complete Stroke  of Cosmological dynamics
Creators: name: Rabbani, Hassan Rabbani
Publisher: name: Zenodo
Year: 2025
Subjects: • Quantum Gravity Corrections
Unification
• Nonlinear Time Recursion
• Quantum Recursive Cognition
• Entropy-Driven Economic Fluctuations

description: This paper presents a fully formulated Theory of Everything (True TOE), integrating Quantum Recursion, Entropy-Driven Uncertainty, and Gravitational Interactions into a single unified framework.

Key Components:

• A Unified Field Equation governing recursion in quantum gravity.

• A Time-Recursive Energy Equation modeling entropy-driven evolution.

• A Stability Condition ensuring mathematical consistency.

• Extended contributions integrating multidimensional time, recursive neuroplasticity, and economic recursion.
Scaffolding Critical Reflectivity in Graduate Students
Creators: name: Dodman, Stephanie
name: Holincheck, Nancy
name: Fox, Becky
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: pedagogy; reflective teaching practice; graduate student learning; curriculum design; Scholarship of Teaching & Learning (SoTL)

description: This presentation details findings from a study in the Advanced Studies in Teaching and Learning (ASTL) program. We studied the development of critical reflectivity in our graduate students over the span of five courses. Critical reflection is the act of analyzing and challenging one's assumptions and predispositions. This act is often very difficult for students who have been socialized to consider their experiences at face value and not necessarily analyze the broader sociopolitical influences on, and consequences of, their actions and experiences (Brookfield, 1990). To foster critical reflection in students, ASTL's core courses actively engage students in formal inquiry. Faculty also explicitly teach students about critical reflection by introducing them to a three-tier model of inquiry that is continually returned to throughout their core coursework. We framed reflection as a tangible construct and a skill to be developed; this framing aided students in establishing critical reflection as a habit of mind. To examine the development of critical reflection, faculty collected and analyzed formal writings of students.

While conducting the study, the analysis also drove instructional changes. This ongoing research by faculty positions critical reflection as an endeavor undertaken by all, not just students. By systematically analyzing students' reflective writings, faculty found themselves engaging in critical reflection about their own practice.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Improving global digital elevation models using space-borne GEDI and ICESat-2 LiDAR altimetry data
Creators: name: Narin, Omer Gokberk
name: Abdikan, Saygin
name: Gullu, Mevlut
name: Lindenbergh, Roderik
name: Sanli, Fusun Balik
name: Yilmaz, Ibrahim
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Medicine
subject: Neuroscience
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified

description: Open source Global Digital Elevation Models (GDEMs) serve as an important base for studies in geosciences. However, these models contain vertical errors due to various reasons. In this study, data from two Satellite LiDAR altimetry systems, GEDI and ICESat-2, were used to improve the vertical accuracy of GDEMs. Three different machine learning methods, namely an Artificial Neural Network (ANN), Extreme Gradient Boosting (XGBoost), and a Convolutional Neural Network (CNN), were employed to improve existing DEM data with satellite LiDAR data. The methodology was tested in five areas with varying characteristics. Ground control data were selected from high accuracy DEMs generated from Airborne LiDAR and GNSS data. The use of ANN method improved the vertical accuracy of SRTM data from 6.45 to 3.72 m in Test area-4. Similarly, the CNN method demonstrated an improvement in the vertical accuracy of bare ground SRTM data increasing from 3.4 to 0.6 m in Test area-4. In Test area-5, the ANN method improved the vertical accuracy of SRTM data with slopes between 30 and 60%, increasing from 3.8 to 0.5 m. Notably, the results underscore the successful improvement of GDEMs across all test areas.
Zheng yun tong zong : si juan [volume 02]
正韻統宗 : 四卷 [第二冊]
Creators: name: Ren, Shitang
name: 任世鏜
Publisher: name: [China] : Wang Ji
Year: 2017

description: Wood-block printing, on double leaves, East Asian binding.
Edition: [Ke ben]
Assessing water use efficiency reactivity to meteorological, hydrological, and agricultural droughts on the Mongolian Plateau
Creators: name: Mei, Li
name: Tong, Siqin
name: Yin, Shan
name: Bao, Yuhai
name: Wang, Yongfang
name: Guo, Enliang
name: Li, Fei
name: Huang, Xiaojun
name: Alateng, Tuya
name: Liu, Dongwei
name: Chao, Lumen
name: Ren, Jinyuan
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biophysics
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Water use efficiency (WUE) is an important metric for assessing regional sustainability and the carbon-water balance of ecosystems. Drought is a significant stressor affecting the carbon-water cycle. Nevertheless, the response of WUE to different types of droughts remains poorly understood. This study analyzed the variability characteristics of WUE, meteorological (SPEI), hydrological (SRI), and agricultural (SSMI) droughts. Additionally, it investigated the response of WUE to these three types of droughts over the Mongolian Plateau (1982–2021). The results indicated a non-significant decreasing trend in WUE, and a remarkable drying trend in SPEI, SRI, and SSMI. WUE was positively correlated with three drought indices, with average R (WUE, SPEI), R (WUE, SRI), and R (WUE, SSMI) at 0.060, 0.051, and 0.028, respectively; this indicated that WUE decreased as drought intensified. Regional WUE proved most sensitive to SPEI and was observed in coniferous forests, broadleaf forests, meadow steppes, typical steppes, and alpine grasslands. Sand land vegetation and desert steppes showed the highest sensitivity to SRI, whereas shrubs and croplands exhibited the highest sensitivity to SSMI. More importantly, SRI caused more severe losses in WUE than SSMI and SPEI. These findings offer valuable insights for future carbon sink management and drought risk assessment.
La dama Casimira: Digital Edition
Creators: name: Jacsont Pauline
Publisher: name: Zenodo
Year: 2024
Subjects: Spanish literature
Digital edition
XML-TEI

description: Digital edition of a Spanish pliego de cordel (19th c.). It contains the XML-TEI file of the edition, as well as the files that led to this edition, i.e. the digital facsimiles (raw and retouched), and the transcription produced by the OCR tool eScriptorium (ALTO-XML). This digital edition is a part of the research project Desenrollando el cordel / Untangling the cordel / Démêler le cordel (2020-2024), led by professor Constance Carta at the University of Geneva and supported by the philanthropic Sandoz-Monique de Meuron Family Foundation.
Effect of Instructional Design on Students' Motivation to Learn in an Online Psychology Course
Creators: name: Brielmaier, Jennifer
name: Kuo, Ying-Ying
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: teaching online; technology-enriched; student motivation; student feedback; course design

description: Instructional design can enhance students' motivation to learn by providing relevant course content while encouraging them to achieve specific learning goals. An effective course design increases student satisfaction and competency in the subject matter and helps them to enjoy the learning process (Keller, 1983, 2010). The effect of course design on student motivation was investigated in a fully-online physiological psychology (PSYC 372) course, taught in fall 2014. The course provided lecture videos, individual and group activities, weekly quizzes, and study notes in a flexible format where students had full control of their study strategies and schedule. A total of 25 students enrolled in the course. Upon the completion of the semester, 20 students shared their learning experiences with regards to course design, satisfaction, and learning motivation in a survey of online learning.

Results from the survey indicated that students overall felt satisfied with the course (mean = 5.2, s.d. = 0.83) with a 6-point Likert scale from Strongly Dissatisfactory (1) to Strongly Satisfactory (6). The top five items that motivated students to learn included "course structure and navigation," "content/resources provided," "competency in the subject area," "performance," and "fostering of critical thinking." Both qualitative and quantitative data collected from the course survey support the conclusion that good course design can promote students' learning motivation, satisfaction, and course performance.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Large-amplitude steady gravity water waves with general vorticity and critical layers
Creators: name: Wahlén, Erik
name: Weber, Jörg
Publisher: name: arXiv
Year: 2022
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: We consider two-dimensional steady periodic gravity waves on water of finite depth with a prescribed but arbitrary vorticity distribution. The water surface is allowed to be overhanging and no assumptions regarding the absence of stagnation points and critical layers are made. Using conformal mappings and a new reformulation of Bernoulli's equation, we uncover an equivalent formulation as "identity plus compact," which is amenable to Rabinowitz's global bifurcation theorem. This allows us to construct a global connected set of solutions, bifurcating from laminar flows with a flat surface. Moreover, a nodal analysis is carried out for these solutions under a certain spectral assumption involving the vorticity function. Lastly, downstream waves are investigated in more detail.
Optimizing county-level infectious respiratory disease forecasts: a pandemic case study integrating social media-based physical and social connectivity networks
Creators: name: Jing, Fengrui
name: Li, Zhenlong
name: Qiao, Shan
name: Lessani, M. Naser
name: Ning, Huan
name: Ma, Wenjun
name: Hu, Jinjing
name: Yang, Pan
name: Li, Xiaoming
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Medicine
subject: Neuroscience
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Forecasting infectious respiratory diseases is crucial for effective prevention and intervention strategies. However, existing time series forecasting models that incorporate human mobility data have faced challenges in making localized predictions on a large scale across the country due to data costs and constraints. Using the COVID-19 pandemic as a case study, this research explores whether integrating social media-based place and social connectivity networks can improve predictions of disease transmission at the county level across various regions. Place connectivity networks, derived from Twitter users and tweets, and social connectivity networks, based on Facebook interactions, were used to map spatial and social linkages between locations. These networks were integrated into weekly COVID-19 incidence data across 2,927 U.S. counties using Long Short-Term Memory (LSTM) models. The combined connectivity-weighted model significantly enhanced prediction accuracy, reducing Mean Absolute Percentage Error (MAPE) by 49.38% across 96.62% of the counties, with the greatest improvements observed in urban and Northeastern counties. The results demonstrate that combining connectivity networks enhances prediction accuracy, offering a scalable and sustainable solution for localized disease forecasting on a large scale across diverse geographic areas using publicly accessible social media data.
Groupes de Brauer algébriques modulo les constants d'espaces homogènes et leurs compactifications
Creators: name: Linh, Nguyen Manh
Publisher: name: arXiv
Year: 2022
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics

description: Let $X$ be a smooth, geometrically integral variety over a field $K$. Then the quotient of the "algebraic" Brauer group of $X$ by $\operatorname{Br} K$ injects into $\textrm{H}^1(K,\textrm{Pic} \bar{X})$. We show that this inclusion is not always an isomorphism, even in the case where $X$ is a homogeneous space of a connected linear algebraic group over $K$. A similar result for the smooth compactifications of $X$ is also given.
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 Soit $X$ une variété lisse, géométriquement intègre sur un corps $K$. Alors le quotient du groupe Brauer "algébrique" de $X$ par $\operatorname{Br} K$ s'injecte dans $\textrm{H}^1(K,\operatorname{Pic} \bar{X})$. Nous montrons que cette inclusion n'est pas toujours un isomorphisme même dans le cas où $X$ est un espace homogène d'un groupe algébrique linéaire connexe sur $K$. Un résultat similaire pour les compactifications lisses de $X$ est aussi donné.
description: 9 pages, in French
Active Learning Classroom Effectiveness Compared to Traditional Lecture
Creators: name: Djordjevic, Branislav
name: Dworzecka, Maria
name: Kinser, Jason
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: ALC

description: Beginning with the fall 2013 semester, George Mason University began teaching first-semester (PHYS 160) and second-semester (PHYS 260) calculus-based physics courses in an ALT (active learning with technology) environment simultaneously with traditional lectures. Previous results of students' performance comparisons consistently showed that ALT courses were more effective means for students' learning than traditional lecturing. Average final grades as well as the average exam grades in ALT courses regularly surpassed grades in traditional courses by 10-15%. We also cross-compared performance of our students in the PHYS 260 course in all four combinations of students coming from traditional PHYS 160 and cross-compared the ALT course to either style of the PHYS 260 courses. We did our analysis for all available pairs of consecutive semesterss starting from fall 2013 and ending with spring 2015. Results from this analysis clearly indicate that students' performance is greatly improved through the ALT experience.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Zheng yun tong zong : si juan [volume 04]
正韻統宗 : 四卷 [第四冊]
Creators: name: Ren, Shitang
name: 任世鏜
Publisher: name: [China] : Wang Ji
Year: 2017

description: Wood-block printing, on double leaves, East Asian binding.
Edition: [Ke ben]
title: Exosomes from Uninfected Cells Cause Transcriptional Activation of Latent HIV-1 Virus in Infected Immune Cells
Creators: name: Barclay, Robert A
Publisher: name: George Mason University
Year: 2017
Subjects: subject: HIV
subject: Exosomes
subject: Latency
subject: Transcription

description: HIV-1 infection causes AIDS, a significant problem in today’s world. It can be combatted through the use of combination antiretroviral therapy, which can lower viral load to undetectable levels. However, because HIV-1 is able to integrate its genome with the host cell’s, achieving latency, there is no effective way to target the viral reservoir. In previous studies, it has been shown that there is a link between HIV-1 and exosomes. Specifically, exosomes were shown to transport viral proteins and RNA from infected cells to neighboring uninfected cells. These viral products could then suppress the PKR pathway, leading to increased pathogenesis. In this study, exosomes from uninfected cells were observed to increase short and long-length viral transcripts within wild-type HIV-infected cells. This effect was again observed when infected cells were under cART. An investigation into a possible mechanism for this phenomenon revealed that the exosomes potentially cause an increase in RNA Polymerase II activity within the infected cells. Collectively, these results imply that exosomes from uninfected cells cause an activation of HIV-1 from latency in infected cells.
A Comparison of Students' Learning Outcomes in a Writing-Intensive Course Taught in Both Face-To-Face and Fully-Online Settings
Creators: name: Ravi, Chaitanya
name: Kuo, Ying-Ying
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: teaching online; technology-enriched; digital tools; student writing; sustainability; Science, Technologym Engineering, & Math (STEM)

description: Most educators are interested in whether online teaching is at least as good as classroom-based courses in terms of students' learning outcomes, including academic achievement and learning satisfaction. This research study compared two sections of an upper-level, undergraduate, writing-intensive environmental policy course, which were taught in spring 2014 by the same instructor. The f2f session had a blended format with in class-lectures complemented by substantial online resources, while the 100% online course included documentaries, pre-recorded lecture videos, various readings, discussions, and online environmental games.

A total of 39 students from both sections voluntarily participated in this research study by taking a course survey online. Both qualitative and quantitative data and students' final grades were collected. The findings revealed no significant statistical difference in students' final grades and learning satisfaction. However, students' overall satisfaction level in the f2f class was higher than the online course. Also, their satisfaction level was associated with (1) receiving valuable feedback from instructor and (2) students' motivation to learn in the course.

Our research indicates that the quality of an online course can be equivalent to a f2f course if instructors can support students with regular feedback and keep motivating them to learn.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
La dama Casimira: Digital Edition
Creators: name: Jacsont Pauline
Publisher: name: Zenodo
Year: 2022
Subjects: Spanish literature
Digital edition
XML-TEI

description: Digital edition of a Spanish pliego de cordel (19th c.). It contains the XML-TEI file of the edition, as well as the files that led to this edition, i.e. the digital facsimiles (raw and retouched), and the transcription produced by the OCR tool eScriptorium (ALTO-XML). This digital edition is a part of the research project Desenrollando el cordel / Untangling the cordel / Démêler le cordel (2020-2024), led by the professor Constance Carta at the University of Geneva and supported by the philanthropic Sandoz-Monique de Meuron Family Foundation.
Incentives in Social Decision Schemes with Pairwise Comparison Preferences
Creators: name: Brandt, Felix
name: Lederer, Patrick
name: Suksompong, Warut
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Science and Game Theory (cs.GT)
subject: Theoretical Economics (econ.TH)
subject: FOS: Computer and information sciences
subject: FOS: Economics and business

description: Social decision schemes (SDSs) map the ordinal preferences of individual voters over multiple alternatives to a probability distribution over the alternatives. In order to study the axiomatic properties of SDSs, we lift preferences over alternatives to preferences over lotteries using the natural -- but little understood -- pairwise comparison (PC) preference extension. This extension postulates that one lottery is preferred to another if the former is more likely to return a preferred outcome. We settle three open questions raised by Brandt (2017): (i) there is no Condorcet-consistent SDS that satisfies PC-strategyproofness; (ii) there is no anonymous and neutral SDS that satisfies PC-efficiency and PC-strategyproofness; and (iii) there is no anonymous and neutral SDS that satisfies PC-efficiency and strict PC-participation. All three impossibilities require $m\geq 4$ alternatives and turn into possibilities when $m\leq 3$. We furthermore settle an open problem raised by Aziz et al. (2015) by showing that no path of PC-improvements originating from an inefficient lottery may lead to a PC-efficient lottery.
description: A preliminary version appeared in the 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022. The current version is significantly extended