cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Making Research Methods Approachable and Relevant for Undergraduates
Creators: name: Paeglow, Corrie
name: Weinstein, Ali
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: research course

description: Research methods often seem both daunting and unimportant to undergraduate students. Through our experience in designing and teaching a new research methods course, we have developed strategies that help students read, evaluate, and synthesize the literature while also understanding how it connects to the "real world." We undertook this course development to create this research methods course as our department's Scholarly Inquiry-level course. We wanted to ensure that when the students successfully completed the course, they had the skills to make them capable of evaluating scholarly work and conducting their own scholarly work. The session will cover how to guide students through dissecting a research article, including reviewing the statistical section (even if their statistical knowledge is limited), evaluating popular press reports about research using their new knowledge of research methods, and creating an activity-based classroom environment utilizing application of skills. In our design of this new course, we wanted to maintain a 50% lecture-style to 50% activity-based learning to try to ensure that the students would be actively engaged with the material presented.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Team-Based Learning
Creators: name: Finn, Andrew
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: pedagogy; learning strategies; team-based learning; collaborative learning; curriculum design

description: Team-Based Learning (TBL) a comprehensive pedagogy that can be used in any college course. Hundreds of professors use TBL in thousands of courses: undergraduate and graduate; conceptual courses in the liberal arts; and training courses in business, law, engineering, and medical schools.

This presentation is designed to present TBL by treating the attendees as members of a TBL class. Teams of 4-5 attendees will be provided materials about the specifics ofTBL and then will be asked to participate in two activities and take one team test.

Features of TBL pedagogy include:
• 25% lecture, 75% application of the material
• Teams of 4-7 students maintained throughout the course
• The grade is 35-45% team performance, 55-65% individual performance
• 5-6 Assessment Readiness Tests (ARTs) taken first as individuals, then immediately as a team (2 scores per student), graded quickly in class with immediate feedback that day
• Peer evaluations within teams, and 10% of the grade to reward "Helping Behavior" mitigates student typical concerns about group work and grades.

The emphasis on team learning has parallels in cooperative and collaborative learning models, and the emphasis on the application of the course material has parallels in models of active learning.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Categories of quantum liquids II
Creators: name: Kong, Liang
name: Zheng, Hao
Publisher: name: arXiv
Year: 2021
Subjects: subject: Category Theory (math.CT)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: High Energy Physics - Theory (hep-th)
subject: Quantum Algebra (math.QA)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We continue to develop the theory of separable higher categories, including center functors, higher centralizers, modular extensions and group theoretical higher fusion categories. Moreover, we outline a theory of orthogonal higher categories to treat anti-unitary symmetries. Using these results we derive a systematic classification of gapped quantum liquids and predict many new SPT orders in spacetime dimension $\ge3$.
description: 35 pages. Final version
From Pedagogy to Policy: Supporting International Students and Multilingualism at Mason
Creators: name: Wells, Mary
name: Henry, Sonya
name: Mallett, Karyn
name: Habib, Anna
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: learning strategies; experiential learning; team-based learning; problem-based learning; active learning

description: What are common pedagogical concerns among faculty with regard to teaching Mason's growing multilingual and multicultural student populations? What are some promising practices for establishing an effective pedagogy of inclusion? To help facilitate the success of increasing international and multilingual student enrollments, this interactive session will provide tools which promote positive interactions and communications both inside and outside of the classroom. At the policy level, the session will also outline particular challenges and restrictions faced by international student populations and the specific offices involved in their support.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Learning Is Fun! Wait...STEM Learning?
Creators: name: Rytikova, Ioulia
name: Boicu, Mihai
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: technology-enriched; digital tools; pedagogy; learning strategies; experiential learning; team-based learning; problem-based learning; active learning; active learning classrooms; student motivations; collaborative learning; curriculum design

description: Active learning is generally defined as an instructional method that engages students in the learning process and could be an effective instructional approach in STEM education. IT 214: Database Fundamentals was the first course in the Volgenau School of Engineering offered in the Active Learning with Technology Classroom. IT 214 is an undergraduate course that introduces challenging database and programming concepts and assists students in developing critical thinking and complex problem solving skills, demonstrating how rigorous academic content can be applied in a real-world environment. The course organization integrates a technology-enhanced learning environment with an innovative teaching methodology, developed by the presenters, that provides an active learning experience and creates a personalized course completion for each student in class. It utilizes a wide variety of learning resources and tools that includes but is not limited to participation in collaboration projects and discussions, peer review, assigned reading of textual online materials, review of videos, analysis of internet resources selected by the instructor, participation in surveys, etc. It provides students with an opportunity to create not only an active but also an effective learning environment that works best for their individual learning needs. These strategies will be demonstrated and lessons learned will be discussed.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Evaluating soil moisture retrieval in Arctic and sub-Arctic environments using passive microwave satellite data
Creators: name: Ortet, Juliette
name: Mialon, Arnaud
name: Kerr, Yann
name: Royer, Alain
name: Berg, Aaron
name: Boike, Julia
name: Humphreys, Elyn
name: Gibon, François
name: Richaume, Philippe
name: Bircher-Adrot, Simone
name: Gorrab, Azza
name: Roy, Alexandre
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified

description: Soil Moisture (SM) is a key parameter in northern Arctic and sub-Arctic (A-SA) environments that are highly vulnerable to climate change. We evaluated six SM satellite passive microwave datasets using thirteen ground-based SM stations across Northwestern America. The best agreement was obtained with SMAP (Soil Moisture Active Passive) products with the lowest RMSD (Root Mean Square Difference) (0.07 m3 m−3) and the highest R (0.55). ESA CCI (European Space Agency Climate Change Initiative) also performed well in terms of correlation with a similar R (0.55) but showed a strong variation among sites. Weak results were obtained over sites with high water body fractions. This study also details and evaluates a dedicated retrieval of SM from SMOS (Soil Moisture and Ocean Salinity) brightness temperatures based on the τ−ω model. Two soil dielectric models (Mironov and Bircher) and a dedicated soil roughness and single scattering albedo parameterization were tested. Water body correction in the retrieval shows limited improvement. The metrics of our retrievals (RMSD = 0.08 m3 m−3 and R = 0.41) are better than SMOS but outperformed by SMAP. Passive microwave satellite remote sensing is suitable for SM retrieval in the A-SA region, but a dedicated approach should be considered.
Permutation modules, Mackey functors, and Artin motives
Creators: name: Balmer, Paul
name: Gallauer, Martin
Publisher: name: arXiv
Year: 2021
Subjects: subject: Representation Theory (math.RT)
subject: Algebraic Geometry (math.AG)
subject: Category Theory (math.CT)
subject: FOS: Mathematics

description: We explain in detail the connections between the three concepts in the title, and we discuss how the `big' derived category of permutation modules introduced in arXiv:2009.14093 fits into the picture.
description: 30 pages
Supplementary document for Investigating learning empowered hologram generation for holographic displays with ill-tuned hardware - 6251208.pdf
Creators: name: Xia, Xinxing
name: yang, furong
name: wang, weisen
name: Shui, xinghua
name: Guan, Frank
name: Zheng, Huadong
name: yingjie, yu
name: Peng, Yifan
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplementary experimental results and corresponding holograms
Ensemble learning approach for accurate virtual borehole prediction in 3D geological modeling
Creators: name: Guo, Bingning
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biophysics
subject: Biochemistry
subject: Environmental Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Science Policy
subject: Plant Biology
subject: FOS: Biological sciences

description: The use of virtual drilling technology can effectively accelerate the establishment process of 3D geological models and improve grid structure and visual performance. However, most existing virtual drilling prediction techniques mainly rely on traditional interpolation methods, which not only increase computational overhead but also lack sufficient automation. To address this problem, this study introduces an innovative virtual borehole prediction technology combined with a machine learning stacking strategy. This technology integrates Random Forest (RF), XGBoost, CatBoost, and LightGBM algorithms as basic models and improves prediction accuracy through stacked generalization technology. This study adopted a method of adding zero-thickness layers to unify stratigraphic sequences. The 3D position information of boreholes is used as model input, and the bottom height of boreholes at stratigraphic boundaries is used as the prediction target. Through a hierarchical training method using 85% of borehole data for training and 15% for verification, a regression prediction model for stratigraphic boundaries is established. The model is able to predict detailed stratigraphic sequences containing information on stratigraphic type and thickness to accurately simulate virtual boreholes. Research results show that the integrated model has excellent prediction performance, achieves efficient automated prediction, and provides a new solution for virtual drilling prediction.
Using "Orals" as a Peer-Led Instructional Strategy to Improve Undergraduate Performance
Creators: name: Schwebach, Reid
name: Thomas, Caroline
name: Davis, Claudette
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: engaged learning

description: Learning Assistants (LAs), Faculty, and GTAs will learn how to hold small group oral review sessions in undergraduate Biology courses using five small group strategies. These sessions were designed to help undergraduates prepare for semester examinations. Within a two-hour time frame, orals blend kinesthetic, audial, and visual learning prompts to help students understand biological topics. These strategies are highly adoptable for other STEM courses. The five techniques that will be explored include: (1) student utilization of the whiteboard, (2) LA utilization of the whiteboard, (3) student-to-LA interactions, (4) small group discussion, and (5) student-to-student interactions. (1) Students will use the whiteboard to draw pictorial representations of biological processes while other students provide feedback. (2) LAs will draw out cellular processes (for example, glycolysis and the Calvin cycle) on the whiteboard while students instruct the LA on what to draw. (3) LAs provide a list of guiding questions to students that act as a basis for student and LA discussion. (4) LAs also provide a packet containing key lecture PowerPoint slidesâ€”the figures contained in these slides force students to provide the context to slides. (5) Student-to-student pair interactions force students to discuss, draw, or act out biological processes. Importantly, in a cell biology courses, these strategies are associated with underperforming students improving their grades by a full letter grade (D students make C grades), and higher-performing students report the strategies to be highly beneficial.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Asymmetric effects of diurnal warming on carbon allocation to leaves of marsh wetlands on the Tibetan Plateau
Creators: name: Wu, Liyuan
name: Shen, Xiangjin
name: Lu, Xianguo
name: Jiang, Ming
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Cell Biology
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Plant Biology

description: Using MODIS leaf area index and meteorological data from 2000 to 2020, this study analyzed the variations in carbon allocation to leaves (Cleaf) of marsh during the leaf green-up period and their response to climate change across the TP based on partial correlation and linear regression analysis methods. The regionally averaged Cleaf of marsh showed an increasing trend during the leaf green-up period from 2000 to 2020. Diurnal warming has asymmetric effects on Cleaf of marsh during different stages of the leaf green-up period. During the early leaf green-up period, warming preseason daytime temperature significantly reduced Cleaf in the southwestern region, while warming preseason daytime and night-time temperatures increased Cleaf in the central region. During the late leaf green-up period, preseason temperatures exerted significantly positive and negative effects on Cleaf in the southwestern and central regions, respectively. During the early leaf green-up period, preseason precipitation increases significantly enhanced Cleaf in the southwestern region, but decreased Cleaf in the central region. This study highlights the distinct impacts of climatic change on Cleaf during different stages of the leaf green-up period and indicates that the asymmetric effects of diurnal warming should be considered in simulations of marsh carbon allocation in the future.
One Button Studio One Step Further: Using YouTube to Enhance Recordings
Creators: name: Byrd, Jason
name: Hudson, Sara
name: Jenemann, Laura
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: resorce/opportunity; technology-enhanced

description: Gateway Library's One Button Studio provides an easy way to record professional quality video, but many users want to take their recordings to the next level. In this compact session, attendees will learn how to prepare for effective video recording sessions, how to use easy video editing capabilities of YouTube, and how to ensure recordings comply with accessibility and copyright standards.

Effective video recordings are the result of meticulous planning. The instructors will discuss how to best prepare for a recording, including storyboarding the finished product. The instructors will show resources for locating B-roll footage and background audio that complies with copyright restrictions. Using the editing tools of YouTube, attendees will learn the basics of combining clips from different recordings and incorporating audio. The instructors will demonstrate how to connect YouTube with Blackboard and how to ensure compliance with accessibility standards. The session will conclude with a discussion of Creative Commons license options and why one may wish to apply a Creative Commons license to their recording.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
The Curious Case of ASASSN-20hx: A Slowly-Evolving, UV and X-ray Luminous, Ambiguous Nuclear Transient
Creators: name: Hinkle, Jason T.
name: Holoien, Thomas W. -S.
name: Shappee, Benjamin. J.
name: Neustadt, Jack M. M.
name: Auchettl, Katie
name: Vallely, Patrick J.
name: Shahbandeh, Melissa
name: Kluge, Matthias
name: Kochanek, Christopher S.
name: Stanek, K. Z.
name: Huber, Mark E.
name: Post, Richard S.
name: Bersier, David
name: Ashall, Christopher
name: Tucker, Michael A.
name: Williams, Jonathan P.
name: de Jaeger, Thomas
name: Do, Aaron
name: Fausnaugh, Michael
name: Gruen, Daniel
name: Hopp, Ulrich
name: Myles, Justin
name: Obermeier, Christian
name: Payne, Anna V.
name: Thompson, Todd A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We present observations of ASASSN-20hx, a nearby ambiguous nuclear transient (ANT) discovered in NGC 6297 by the All-Sky Automated Survey for Supernovae (ASAS-SN). We observed ASASSN-20hx from $-$30 to 275 days relative to peak UV/optical emission using high-cadence, multi-wavelength spectroscopy and photometry. From Transiting Exoplanet Survey Satellite (TESS) data, we determine that the ANT began to brighten on 2020 June 22.8 with a linear rise in flux for at least the first week. ASASSN-20hx peaked in the UV/optical 30 days later on 2020 July 22.8 (MJD = 59052.8) at a bolometric luminosity of $L = (3.15 \pm 0.04) \times 10^{43}$ erg s$^{-1}$. The subsequent decline is slower than any TDE observed to date and consistent with many other ANTs. Compared to an archival X-ray detection, the X-ray luminosity of ASASSN-20hx increased by an order of magnitude to $L_{x} \sim 1.5 \times 10^{42}$ erg s$^{-1}$ and then slowly declined over time. The X-ray emission is well-fit by a power law with a photon index of $Γ\sim 2.3 - 2.6$. Both the optical and near infrared spectra of ASASSN-20hx lack emission lines, unusual for any known class of nuclear transient. While ASASSN-20hx has some characteristics seen in both tidal disruption events (TDEs) and active galactic nuclei (AGNs), it cannot be definitively classified with current data.
description: Fixed minor plotting issue in Figure 7. arXiv admin note: text overlap with arXiv:2006.06690
Teaching and Learning STEM Online: Challenges, Achievements, and Benefits
Creators: name: Tryfona, Nektaria
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: teaching online; technology-enriched; team-based learning; graduate student learning; Science, Technology, Engineering, & Math (STEM)

description: STEM courses are characterized by (1) a high degree of multidisciplinary activities, (2) the requirement for specialized software and configuration, and (3) students with various diverse backgrounds along with the necessity to follow personalized educational paths to enter the workforce. These reasons make the design, development and offering of online STEM courses a complicated and time-consuming task.

At the same time, many free (massive) online courses in STEM disciplines are availableâ€”usually, with pre-recorded videos, without collaborate sessions, without much interaction among the students and the instructor. However, they are free, thus the question "why would a student/professional choose a course-for-credit over the free one?" is more emerging than ever.

This proposal discusses experiences and the way the aforementioned issues were addressed during the phase of design and teaching of a graduate course on GIS, Programming, and Algorithms. We argue on:
• The Mason-added value of this course over the (at least) 10 other similar free online courses
• The successful effort to provide students with an organized, care-free (in terms of data and software) environment to students
• The adopted multi-level teaching approach to accommodate students background, ranging from professionals with experience to totally novice Mason students acquiring a degree
• The strategies for working on research-based STEM online courses
• Mentoring/advising STEM disciplines online
• The use of technology-enhanced teaching and learning STEM disciplines.

The pros and cons between teaching STEM online vs. teaching face-to-face, as well as the differences and similarities between teaching STEM vs. non-STEM online are drawn, revealing an unexpected result: distance learning is a very good practice to teach STEM graduate courses.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
ORCHESTRATING PROPAGATION OF HEAT AND REACTION FRONTS IN A PACKED BED OF SrFeO3-δ FOR ENERGY STORAGE APPLICATIONS
Creators: name: Abu Kasim, Abu
name: Marek, Ewa
Publisher: name: Apollo - University of Cambridge Repository
Year: 2025

description: Non-stoichiometric oxides can undergo reversible redox reactions without crystallographic phase transformations – a unique property that remains underexplored in energy storage applications. The reduction of non-stoichiometric oxides, like SrFeO3-δ, is an energy sink, whilst its oxidation leads to energy release. Together, these reactions can be used for energy charging and discharging in the storage cycles. Here, we look into redox reactions of SrFeO3-δ, triggered by manipulating the oxygen partial pressure (pO2). The experimental work was carried out at 600°C, with SrFeO3-δ in a packed bed, exposed to mixtures of N2 and air, with a higher value pO2 in the discharging step (oxidation) and a lower pO2 in the charging step (reduction). The extent of reaction in the bed was associated with heat and reaction fronts, the first describing the energy distribution, the latter the uptake or release of oxygen in the reactions with particles of SrFeO3-δ. Propagation of both fronts was deduced from spatial-temporal changes in temperatures of the SrFeO3-δ bed, measured with an array of thermocouples, and with the content of oxygen in the off-gas, measured with a paramagnetic analyser. Our experiments demonstrate that large shifts in pO2 cause the reaction front to lead the heat front, whilst smaller variations in pO2 result in the reversed order and even overlapping of the fronts. These results, hence, exemplify the versatility of operation and usage of non-stoichiometric oxides for energy storage.
Shi xu jian : [si shi wu juan] [volume 06]
詩緖箋 : [四十五卷] [第六冊]
Creators: name: (:Null)
Publisher: name: Jinghu : [publisher not identified]
Year: 2017

description: Chu Tang feng xu jian : jiu juan
Chu Tang ya xu jian : wu juan
Chu Tang song xu jian
Sheng Tang feng xu jian : shi er juan
Sheng Tang ya xu jian : er juan.
Automatic detection of earthquake triggered landslides using Sentinel-1 SAR imagery based on deep learning
Creators: name: Chen, Lifu
name: Li, Zengqi
name: Song, Chuang
name: Xing, Jin
name: Cai, Xingmin
name: Fang, Zhenhuan
name: Luo, Ru
name: Li, Zhenhong
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Mathematical Sciences not elsewhere classified

description: Earthquake Triggered Landslides (ETLs) are serious secondary hazards of earthquakes, causing severe casualties and property losses, and their rapid, automated and accurate detection is of great value. Due to the all-day and all-weather imaging capability of Synthetic Aperture Radar (SAR), ETL detection using SAR images is promising but faces the problem of insufficient accuracy. In this study, we proposed a deep learning-based ETL detection method to address this problem. Firstly, published ETL inventories and SAR images are combined to generate high-quality training datasets. Then, a landslide detection network of Multi-level Features Effective Weighting and Fusion (MFEWF) is proposed to effectively extract and fuze multi-level landslide features to identify SAR pixels within ETLs. Finally, the ETL boundary is determined based on these identified SAR pixels. This method is verified through three earthquake cases: the 2017 Mainling, China earthquake, the 2018 Palu, Indonesia earthquake and the 2018 Papua New Guinea earthquake. Results show that our method can effectively identify landslide boundaries with high accuracy (88.8%, 81.4% and 82.4% for the three cases), obviously outperforming other deep learning frameworks (e.g. DeepLabV3+). Using Sentinel-1 imagery to achieve such high accuracy in landslide detection, this study will improve emergency response to landslide disasters following earthquakes.
Ready-Made Technologies: Incorporating Universal Design into Everyday Activities
Creators: name: Smith, Lesley
name: Evmenova, Anya
name: Zirkle, Kara
name: Shewak, Courtney
name: Singleton, Korey
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: technology-enhanced; resource/opportunity

description: Universal Design for Learning is the scientifically valid framework for developing educational practices that provides flexibility in how information is presented, in the ways students respond or demonstrate knowledge and skills, and in the ways students engage in learning. Instructors who adopt UDL principles in their teaching can reduce barriers and support all students regardless of their abilities, needs, and learning preferences. This presentation will focus on ways to establishing UDL environments in higher education courses through "ready-mades," hi-tech platforms with low-tech learning curves, while simultaneously energizing learning and nurturing collaborations.

Attendees will learn to provide three principles of UDL, which include multiple means of:
• Representation: Screenchomp, Jing, Video presentations
• Action and expression: Voki, Glogster, Popplet,
• Engagement: Dipity timeline, Voice Thread, PrimaryPad

Such ready-mades also energize collaboration between students. To demonstrate the flexibility of ready-mades, we shall execute an interactive presentation via some of these tools and challenge participants to a hands-on application of these tools to their own learning goals.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Double the Fun: Implementing "Multiple Measures" and Accelerated Learning Program Simultaneously
Creators: name: Burke, Michael A.
Publisher: name: unknown
Year: 2021
Subjects: subject: Academic writing
subject: Interdisciplinary approach in education

description: This discusses the multi-year process of implementing co-requisite composition courses and establishing a multiple measures placement mechanism to determine which students need what kinds of developmental course work, if any. The end result was an increase in course pass rates and an increase in retention.
title: Reentry, Resistance, and Hybridization in the Long Shadow of the Devolving Penal State: An Ethnographic Study of a Community-Based Reentry Organization
Creators: name: Mackey, Benjamin J
Publisher: name: George Mason University
Year: 2021
Subjects: subject: Reentry
subject: Penality
subject: Governing at a distance
subject: Sociology of punishment
subject: Carceral devolution

description: As mass incarceration and supervision decline slowly and sporadically in the U.S. (Kang-Brown et al., 2018; Maruschak & Minton, 2020), scholars note that subtler forms of “invisible punishment” continue to affect individuals with a history of legal system involvement (Travis, 2002). This form of penality excludes individuals with criminal records from full societal participation and includes them in systems of penal rehabilitation and supervision (Cohen, 1985; Miller & Stuart, 2017). Increasingly, however, the state recedes from direct involvement in rehabilitation and supervision, instead devolving responsibility for these functions to non-governmental organizations in the community (Miller, 2014). In so doing, the state may be able to govern at a distance by influencing the operations of these organizations (Garland, 2001; Rose & Miller, 1992). The present study examines how staffers at a community-based reentry organization serving formerly incarcerated clients are both subject and resistant to state influence. Leveraged via grant contracts, state influence directs staffers to provide services focused on altering clients’ internal dispositions and prohibits them from engaging in advocacy activities intended to affect governmental operations. However, because they locate the problems afflicting their clients largely in exclusionary penal structures—rather than solely in their clients’ internal dispositions—staffers’ selectively resist state influence. Through this agonistic process of resistance (Goodman et al., 2017), rehabilitative penality as practiced at the organization hybridizes, commingling the organizational goals and routines of penal state authorities with those of advocacy-oriented reentry staffers. The final, hybridized form of this rehabilitative penality requires the client to not only effect dispositional changes, but to be an active agent advocating against the exclusionary penal structures afflicting them.
Hydrodynamic limit for asymmetric simple exclusion with accelerated boundaries
Creators: name: Xu, Lu
Publisher: name: arXiv
Year: 2021
Subjects: subject: Probability (math.PR)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 60K35, 82C22

description: We consider the asymmetric simple exclusion process (ASEP) on the one-dimensional finite lattice $\{1,2,\ldots,N\}$. The particles can be created/annihilated at the boundaries with given rates. These rates are $L^\infty$ functions of time and are independent of the jump rates in the bulk. The boundary dynamics is modified by a factor $N^θ$ with $θ>0$. We study the hydrodynamic limit for the particle density profile under the hyperbolic space-time scale. The macroscopic equation is given by (inviscid) Burgers equation with Dirichlet type boundaries that is characterized by the boundary entropy. A grading scheme is developed to control the formulation of boundary layers on the microscopic level.
description: published version
Engaging Students with the DICE Model: Design Thinking, Innovation, Creativity, and Entrepreneurship
Creators: name: Seshaiyer, Padmanabhan
name: Peixoto, Nathalia
name: Suh, Jennifer
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: experiential learning; multilingual students; global

description: DICE: Design, Innovation, Creativity, and Entrepreneurship is a new interdisciplinary Provost-level university course that is collaboratively developed by faculty from three colleges (COS, VSE, and CEHD) with a goal to engage students at Mason. Creativity and innovation require free thinking and a combination of top-down support and grass-roots innovation propelled by passion to make a deep impact. The focus of this course is on creating the next generation STEAM (Science, Technology, Engineering, Arts, and Mathematics) scholars with (1) social/human focus, (2) interdisciplinary interest, and (3) entrepreneurial streak, who are empowered to break down disciplinary boundaries for solutions of deep impact on pressing human needs. Furthermore, the next generation STEAM students need to use "design thinking" to harness the state-of-the-art capabilities to innovate and multidisciplinary STEAM or similar approaches to solve real-world challenges which is a focus of this course. Student engagement in 21st century skills including communication, collaboration, creativity, and critical thinking is an integral part of the course. In this session, we will share the implementation of this course that helped engage a group of students from Mason working with students from POSTECH University in South Korea to collaboratively work on global problem solving using DICE. We will explain how the DICE model can be modified and used in other settings/courses.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Revisiting the consistency of MODIS LAI products from a new perspective of spatiotemporal variability
Creators: name: Peng, Rui
name: Yan, Kai
name: Liu, Jinxiu
name: Gao, Si
name: Pu, Jiabin
name: Maeda, Eduardo Eiji
name: Zhu, Peng
name: Knyazikhin, Yuri
name: Myneni, Ranga B.
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified

description: Leaf Area Index (LAI) is a critical vegetation structural parameter for characterizing vegetation canopy structure. Multiple LAI products derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) observations have made a noteworthy impact on global energy fluxes, climate change, and biogeochemistry research. It is essential to examine the long-term performance of global LAI products and quantitatively evaluate their quality. However, traditional methods, which often rely on single overall accuracy metrics, fail to assess the ability to capture vegetation's internal heterogeneity and temporal dynamics. This study introduces a new approach by combining spatial heterogeneity and temporal stability to assess product consistency, using MOD15A2H and MYD15A2H as examples. We observed that the local spatial heterogeneity (within 5 × 5 pixels) of the two products exhibited similar distribution pattern. The MYD15A2H LAI exhibits better time-series stability and lower spatially heterogeneous anomalous fluctuations in the tropical forest region. Both products demonstrate sustainable usability in the time series, and their spatial heterogeneity exhibit consistent trends. In conclusion, this study shows the comparability and stability of MOD15A2H and MYD15A2H in terms of the spatiotemporal variability of LAI. For differences stemming from unavoidable reflectivity issues, it is recommended to filter for high-quality inversion results or to utilize reliable reanalysis datasets.
Localization and Sensing Leveraging Inter-tag Channel Estimation
Creators: name: Yang, Shuai
name: Jones, Ryan
name: Penty, Richard
name: Crisp, Michael
Publisher: name: Apollo - University of Cambridge Repository
Year: 2025

description: This paper introduces novel sensing applications leveraging tag-to-tag communication. Building on a prior method for inter-tag channel estimation, we explore various sensing modalities enabled by this technique and compare to conventional reader to tag measurements. We demonstrate that tag displacement information, including both 1D and 2D localization, can be accurately estimated. Specifically, our approach achieves better than 2.5 cm error in over 90% of the test locations with only a single reader antenna. Furthermore, we investigate the inter-tag channel dependence on angular misalignment of the tags, and show that rotation measurements can be made by exploiting inter-tag channel amplitude, while the inter-tag channel phase is independent of rotation. Finally we demonstrate liquid level sensing of a container in the inter-tag channel, showing that the fill level of a bottle can be estimated, independent of its position.
Singularities in static spherically symmetric configurations of General Relativity with strongly nonlinear scalar fields
Creators: name: Stashko, O. S.
name: Zhdanov, V. I.
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: There are a number of publications on relativistic objects dealing either with black holes or naked singularities in the center. Here we show that there exist static spherically symmetric solutions of Einstein equations with a strongly nonlinear scalar field, which allow the appearance of singularities of a new type (``spherical singularities'') outside the center of curvature coordinates. As the example, we consider a scalar field potential $\sim$$\sinh(ϕ^{2n}),\,n>2$, which grows rapidly for large field values. The space-time is assumed to be asymptotically flat. We fulfill a numerical investigation of solutions with different $n$ for different parameters, which define asymptotic properties at spatial infinity. Depending on the configuration parameters, we show that the distribution of the stable circular orbits of test bodies around the configuration is either similar to that in the case of the Schwarzschild solution (thus mimicking an ordinary black hole), or it contains additional rings of unstable orbits.
title: Situational Awareness and Other Stories
Creators: name: Egan, Elizabeth
Publisher: name: George Mason University
Year: 2014
Subjects: subject: Marines
subject: Military spouses
subject: Military deployments
subject: Marriages
subject: Tattoos

description: This thesis is a collection of short stories about military life, and the impacts of that lifestyle on the characters’ senses of themselves and of those they love. These are stories of struggle and loss, but also of courage and discovery. Over the course of this collection, marriages begin and marriages end; wars are fought on the battlefield and in the home, and also in the mind; and a cycle of waiting—marines who wait in garrison for the next deployment, wives who wait at home for their husbands’ return—fuels the ooh-rah culture of the Marine Corps. For better or for worse, these stories reveal the myriad ways in which military service seeps into the day-to-day lives of marines and their families.
Shi xu jian : [si shi wu juan] [volume 08]
詩緖箋 : [四十五卷] [第八冊]
Creators: name: (:Null)
Publisher: name: Jinghu : [publisher not identified]
Year: 2017

description: Chu Tang feng xu jian : jiu juan
Chu Tang ya xu jian : wu juan
Chu Tang song xu jian
Sheng Tang feng xu jian : shi er juan
Sheng Tang ya xu jian : er juan.
Leveraging Undergraduate Expertise to Create Innovative Learning Objects: A Mentorship-Learning Model from the Honors College's Research, Technology, and Online Community Project
Creators: name: Stafford, Richard Todd
name: Woolsey, John
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: research-based courses

description: The Honors College's Research, Technology, and Online Community (RTOC) project was an OSCAR-funded initiative designed to leverage undergraduate expertise to improve the way that we teach students about the research process. The project aimed to provide a meaningful learning experience to our paid and volunteer student participants by inviting them to collaboratively develop high-quality Open Educational Resources (OERs) based on the HNRS 110 course, but intended these resources to be relevant to a broader student audience. The norms of the HNRS 110 community were conducive to these goals: the course design uses a mentorship model to facilitate learning in the "zone of proximal development" between what first-year Honors students can comfortably do on their own and what they are able to do with the support of more advanced undergraduate, graduate, and library mentors. This offered a uniquely fertile institutional context in which to cultivate new modes of mentorship appropriate to our students' increasingly digitally mediated social and educational identities. We will describe the process involved with planning, producing, revising, and deploying the OERs and reflect on our students' learning process. We will discuss the ways that the RTOC model might be improved or adapted by other departments seeking to replicate RTOC's success.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Hierarchical partition of urban land-use units by unsupervised graph learning from high-resolution satellite images
Creators: name: Li, Mengmeng
name: Gai, Xinyi
name: Lou, Kangkai
name: Stein, Alfred
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Space Science
subject: Cell Biology
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: Urban land use information can be effectively extracted from high-resolution satellite images for many urban applications. A significant challenge remains the accurate partition of fine-grained land-use units from these images. This paper presents a novel method for deriving these units based on unsupervised graph learning techniques using high-resolution satellite images and open street boundaries. Our method constructs a graph to represent spatial relations between land cover objects as graph nodes within a street block. These nodes are characterized by spatial composition and structure features of their surrounding neighborhood. We then apply unsupervised graph learning to partition the graph into subgraphs, which represent communities spatially bounded by street boundaries and correspond to land use units. Next, a graph neural network is used to extract deep structural features for land use classification. Experiments were conducted using high-resolution satellite images from the cities of Fuzhou and Quanzhou, China. Results showed that our method surpassed traditional grid and street block techniques, improving land use classification accuracy by 24% and 9%, respectively. Furthermore, it achieved classification results comparable to those using reference land use units, with an overall accuracy of 0.87 versus 0.89.
Supplementary document for Photobiomodulation for Knee Osteoarthritis: A Model-based Dosimetry Study - 6251220.pdf
Creators: name: Feng, Zefeng
name: wang, Peipei
name: Song, Yang
name: Wang, Haiyang
name: jin, Zhiliang
name: xiong, daxi
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: imulation data for the other two volunteers
Can AI detect pain and express pain empathy? A review from emotion recognition and a human-centered AI perspective
Creators: name: Cao, Siqi
name: Fu, Di
name: Yang, Xu
name: Wermter, Stefan
name: Liu, Xun
name: Wu, Haiyan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: Sensory and emotional experiences such as pain and empathy are essential for mental and physical health. Cognitive neuroscience has been working on revealing mechanisms underlying pain and empathy. Furthermore, as trending research areas, computational pain recognition and empathic artificial intelligence (AI) show progress and promise for healthcare or human-computer interaction. Although AI research has recently made it increasingly possible to create artificial systems with affective processing, most cognitive neuroscience and AI research do not jointly address the issues of empathy in AI and cognitive neuroscience. The main aim of this paper is to introduce key advances, cognitive challenges and technical barriers in computational pain recognition and the implementation of artificial empathy. Our discussion covers the following topics: How can AI recognize pain from unimodal and multimodal information? Is it crucial for AI to be empathic? What are the benefits and challenges of empathic AI? Despite some consensus on the importance of AI, including empathic recognition and responses, we also highlight future challenges for artificial empathy and possible paths from interdisciplinary perspectives. Furthermore, we discuss challenges for responsible evaluation of cognitive methods and computational techniques and show approaches to future work to contribute to affective assistants capable of empathy.
Shi xu jian : [si shi wu juan] [volume 01]
詩緖箋 : [四十五卷] [第一冊]
Creators: name: (:Null)
Publisher: name: Jinghu : [publisher not identified]
Year: 2017

description: Chu Tang feng xu jian : jiu juan
Chu Tang ya xu jian : wu juan
Chu Tang song xu jian
Sheng Tang feng xu jian : shi er juan
Sheng Tang ya xu jian : er juan.
Missing 2nd leaf between images 028 & 029.
A representation formula for members of SBV dual
Creators: name: Bouafia, Philippe
name: De Pauw, Thierry
Publisher: name: arXiv
Year: 2021
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 46E30

description: We give an integral representation formula for members of the dual of $SBV(\mathbb{R}^n)$ in terms of functions that are defined on $\hat{\mathbb{R}}^n$, an appropriate fiber space that we introduce, consisting of pairs $(x,[E]_x)$ where $[E]_x$ is an approximate germ of an $(n-1)$-rectifiable set $E$ at $x$.
description: 7 pages