cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Harmonizing quality measures of FAIRness assessment towards machine-actionable quality information
Creators: name: Peng, Ge
name: Berg-Cross, Gary
name: Wu, Mingfang
name: Downs, Robert R.
name: Shrestha, Sudhir R.
name: Wyborn, Lesley
name: Ritchey, Nancy
name: Ramapriyan, Hampapuram K.
name: Clark, S. Jeanette
name: Wood, Jenny
name: Liu, Zhong
name: Marouane, Abdelhak
Publisher: name: Taylor & Francis
Year: 2024
Subjects: Biochemistry
Medicine
Cell Biology
Biotechnology
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Developmental Biology
Science Policy

description: FAIR Principles are a set of high-level guidelines for sharing digital resources. The growing global adoption of the FAIR Principles by policymakers, funders, and organizations compels data professionals, projects, and repositories to demonstrate the level of FAIR-compliance (referred to as FAIRness) of their digital data, metadata, and infrastructures. Because the FAIR Principles offer general objectives rather than specific implementation instructions, discrepancies exist due to different interpretations, domain-specific requirements, and intended applications. These discrepancies hinder direct comparisons and integration of assessment outcomes. To address this issue, we propose a novel framework, including a consolidated FAIR vocabulary. This framework establishes quality measures upfront in FAIRness assessment workflows to surpass the intricacies arising from the aforementioned dependencies. The established quality measures encapsulate the distinctive core concepts inherent in individual FAIR principles and can serve as common, fundamental pillars of holistic FAIRness assessment workflows. Building upon this fundamental set of the quality measures, we introduce a FAIRness quality maturity matrix (FAIR-QMM) as a structured, tiered, and progressive approach for evaluating and reporting the degree of FAIR-compliance. The FAIR-QMM can be used as a FAIRness assessment tool independently and/or as a translator between other FAIRness assessment tools or models.
Understanding the development of physical education professionals’ policy capacity
Creators: name: Lorusso, Jenna
name: Mac Phail, Ann
name: Viczko, Melody
Publisher: name: University of Limerick
Year: 2025
Subjects: classificationCode: 4207
subject: Sports science and exercise

description: The United Nations Educational, Scientific, and Cultural Organization (UNESCO) and others have emphasized the need for all physical education (PE) professionals to prioritize attention to, and action on, PE policy to improve quality provision. Yet, policy neglect remains arguably normative in PE due, in part, to a lack of preparation for policy in higher education and professional learning programmes. Furthermore, research on what such preparation should entail has not been conducted. Therefore, in this research we asked: What are the key facilitators, barriers, and content in the development of PE professionals’ policy capacity (i.e. policy interest, understanding, and involvement/action/ initiative)? A two-round interview and survey Delphi investigation with 16 international PE professionals with experience in policy research and/or practical initiatives was conducted. Participants were asked about key barriers, facilitators, and content in the development of their own and others’ policy capacity. Reflexive thematic analysis revealed that while participants acknowledged the barriers of lacking time, professional learning, confidence, and accessible language, the barrier they identified as most consequential was misunderstanding the nature of policy as only fixed documents developed in a top-down and linear process. In contrast, participants identified their shifts to understanding policy as more than static texts and as happening in complex processes to be a key facilitator, with reflexive interactions and relationships with others being critical to facilitating that perspective shift. Other facilitators identified included the issuing of moral imperatives to ‘use’ policy to generate change, policy learning in higher education, and the interrogation of policy. When considered alongside the existing literature, these findings highlight that: (a) dispelling unrealistic traditional policy myths and fostering complex policy perspectives is central to policy capacity development; (b) particular configurations of policy-focused learning communities are a key way to do that; and (c) one must determine their personal policy purpose to engage in such work.
Stability estimates for radial basis function methods applied to linear scalar conservation laws
Creators: name: Tominec, Igor
name: Nazarov, Murtazo
name: Larsson, Elisabeth
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: We derive stability estimates for three commonly used radial basis function (RBF) methods to solve hyperbolic time-dependent PDEs: the RBF generated finite difference (RBF-FD) method, the RBF partition of unity method (RBF-PUM) and Kansa's (global) RBF method. We give the estimates in the discrete $\ell_2$-norm intrinsic to each of the three methods. The results show that Kansa's method and RBF-PUM can be $\ell_2$-stable in time under a sufficiently large oversampling of the discretized system of equations. The RBF-FD method in addition requires stabilization of the spurious jump terms due to the discontinuous RBF-FD cardinal basis functions. Numerical experiments show an agreement with our theoretical observations.
SMARTLAGOON: Citizen Science per la sostenibilità del Mar Menor, laguna in crisi ecologica
Creators: name: Prandi, Catia
Publisher: name: Zenodo
Year: 2024
Subjects: Citizen Science Italia
Citizen Science
Sea

description: Il Mar Menor è una laguna costiera, situata nella regione di Murcia nel sud-est della Spagna. La laguna sta morendo lentamente a causa dell’inquinamento agricolo e del sovrasfruttamento immobiliare della zona. Per questo motivo, la laguna ha ottenuto il riconoscimento di status di persona giuridica. In questo complesso scenario, il progetto SMARTLAGOON (finanziato con fondi europei H2020-FET) ha l'obiettivo di creare un sistema digitale integrato per poter prevenire il peggioramento della crisi ecologica del Mar Menor e supportare le decisioni politiche, sociali ed economiche. Per sviluppare questo sistema, oltre a dati provenienti da sensori e satelliti, si vogliono integrare dati socio-economici ed ambientali, raccolti coinvolgendo i cittadini e i diversi stakeholder (inclusi turisti, bambini, ecc.). In questa presentazione si vuole illustrare come il progetto ha integrato la citizen science in un contesto altamente innovativo e tecnologico, per supportare il Mar Menor.
Evaluation of remote sensing soil moisture data products with a new approach to analyse footprint mismatch with in-situ measurements
Creators: name: Xie, Qiuxia
name: Jia, Li
name: Menenti, Massimo
name: Chen, Qiting
name: Bi, Jingxue
name: Chen, Yonghui
name: Wang, Chunmei
name: Yu, Xinju
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Information Systems not elsewhere classified
subject: Cancer
subject: Plant Biology
subject: FOS: Biological sciences

description: Global-scale surface soil moisture (SSM) products (e.g. SMAP L3.0, ASCAT V3.0, ESA/CCI V7.1 and GLDAS V2.2) are vital for applications in hydrology, climate variability, and agriculture. This study uses a new SSM evaluation approach by combining temporal evolution, Coefficient of Variation (CV), Cumulative Distribution Function (CDF), evaluation metrics, and Triple Collocation Analysis (TCA) to assess SSM accuracy and spatial–temporal variability, particularly the impact of footprint mismatch when comparing retrieved SSM with in-situ measurements. Results revealed significant spatial variability and seasonal patterns in SSM, as indicated by the CV values and temporal evaluations at different resampling scales. The variability captured by in-situ measurements was comparable to that of SSM products. The impact of footprint mismatch between in-situ measurements and data products, particularly for SMAP and ASCAT SSM, was more significant and led to substantial differences in evaluation metrics between smaller and larger spatial scales. TCA alone cannot reliably assess the accuracy of global-scale SSM products without in-situ SSM measurements. Overall, our findings highlight the critical role of footprint mismatch on the estimated accuracy of SSM products and underscore the need to combine multiple evaluations into an overall scoring indicator, as proposed in this study.
Books In Space
Creators: name: Iyengar, Sujata
Publisher: name: unknown
Year: 2021
Subjects: subject: Libraries--Special collections
subject: Printing--Social aspects
subject: History
subject: Books

description: Seminar paper for World Shakespeare Congress, New Approaches to Book History, adapted from/cut from forthcoming essay, "Conversations Across Time and Space: Early Modern Printed Books and Contemporary Artists' Books." Juxtaposes early modern how-to or portable reference books -- ready-reckoners or almanacs, herbals and herbaria, astronomical textbooks -- with aesthetic adaptations of such books from the Hargrett Library's collection of fine press and unique late twentieth- and twenty-first-century artists' books.
Intermodulation Interference Detection in 6G Networks: A Machine Learning Approach
Creators: name: Mismar, Faris B.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: This paper demonstrates the use of machine learning to detect the presence of intermodulation interference across several wireless carriers. We show a salient characteristic of intermodulation interference and propose a machine learning based algorithm that detects the presence of intermodulation interference through the use of supervised learning. This algorithm can use the radio access network intelligent controller or the sixth generation of wireless communication (6G) edge node as a means of computation. Our proposed algorithm runs in linear time in the number of resource blocks, making it a suitable radio resource management application in 6G.
description: 6 pages, 5 figures. Invited paper to IEEE 95th Vehicular Technology Conference Workshops (VTC2022-Spring), to appear
Not Just About Avoiding Plagiarism: Utilizing Research on the Development of Disciplinary Expertise to Teach Source Integration for Graduate & Undergraduate Writers
Creators: name: Mallett, Karyn
name: Habib, Anna
name: Rogers, Paul
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: writing

description: Throughout coursework and research, graduate and undergraduate student writers must demonstrate an ability to successfully integrate sources in their writing. Further, faculty across the curriculum expect graduate and undergraduate students to develop and deliver both discipline-specific content/technical knowledge and the academic skills needed in order to effectively communicate emerging disciplinary expertise. What, however, is the relationship between disciplinary knowledge and academic writing? At what point(s) in the writing project should source integration be discussed? And how?

The purpose of this interactive workshop is to present four approaches to the teaching and learning of disciplinary expertise, with a focus on the role of writing andâ€”specificallyâ€”source integration. Utilizing a theoretical framework (Tardy, 2009) for the development of disciplinary expertise, the intersectional nature of four domains "process knowledge, rhetorical knowledge, formal knowledge, and content knowledge" is presented as a tool for the teaching and learning of source integration in the context of authentic graduate writing projects. While these strategies are presented using a graduate context, many of these are also beneficial for undergraduates. The workshop aims to provide faculty with practical tools for helping students (international and otherwise) not only avoid plagiarism butâ€”moreoverâ€”understand common academic goals and strategies for utilizing outside sources in disciplinary writing.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Shi xu jian : [si shi wu juan] [volume 12]
詩緖箋 : [四十五卷] [第十二冊]
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.
Using time-series imagery and 3DLSTM model to classify individual tree species
Creators: name: Chen, Caiyan
name: Jing, Linhai
name: Li, Hui
name: Tang, Yunwei
name: Chen, Fulong
name: Tan, Bingxiang
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Medicine
subject: Environmental 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

description: Classification of individual tree species (ITS) is critical for fine-scale forest surveys. However, it is difficult to obtain the complete and high-precision data needed for ITS classification in large areas. Lower spatial resolution time-series imagery is more accessible than other types of imagery and contains rich phenological information. In this study, after delineating individual tree crowns using a 0.2-m unmanned aerial vehicle (UAV) image, we used 3-m time-series imagery and a new 3DLSTM model to identify ITS at the Gaofeng Forest Farm in Guangxi Province, China. The 3DLSTM ITS classification model combines three-dimensional convolutional neural network (3D CNN) and long short-term memory (LSTM) models; thus, spatial, multiband, and time-series information can be extracted simultaneously to identify ITS more accurately. In this study, when only 3-m Planet time-series imagery was used for classification, the 3DLSTM model offered an ITS classification accuracy of 92.68%, outperforming two ITS classifiers (DenseNet or AlexNet model) based on one individual image. Moreover, the 3DLSTM model was better at identifying broad-leaved tree species than other deep-learning models. The experimental results proved that ITS classification could be significantly improved using only 3DLSTM and time-series images, offering the possibility of classifying large-scale ITS at a low cost.
title: Spindle, Shuttle, Needle
Creators: name: Stahl, Lauren
Publisher: name: George Mason University
Year: 2013
Subjects: subject: Poetry
subject: Ethnopoetic
subject: Women's work
subject: Cross-genre
subject: Family traditions
subject: Domesticity

description: This thesis explores the passing of traditions and of gender roles within the generations of a family. Through the exploration of domestic work and traditional gender roles, the poems attempt to define and redefine the position of the self, of a woman, within a family. In examining the passing of traditions, this work also considers the types of knowledge women pass and how it is passed through the use of documentation, orality, and, as is often true in families, in the silences. The dialogue between generations of women about the choices one must make is often strained, and rarely communicated honestly. Through conversations of sewing, quilting, cooking, and child-bearing, this thesis attempts to uncover what it means to take on “traditional women’s work” in an era of choice.
Books In Space
Creators: name: Iyengar, Sujata
Publisher: name: Humanities Commons
Year: 2023
Subjects: subject: Books
subject: History
subject: Printing--Social aspects
subject: Libraries--Special collections

description: Seminar paper for World Shakespeare Congress, New Approaches to Book History, adapted from/cut from forthcoming essay, "Conversations Across Time and Space: Early Modern Printed Books and Contemporary Artists' Books." Juxtaposes early modern how-to or portable reference books -- ready-reckoners or almanacs, herbals and herbaria, astronomical textbooks -- with aesthetic adaptations of such books from the Hargrett Library's collection of fine press and unique late twentieth- and twenty-first-century artists' books.
Collective behavior in quantum interference: an alternative superposition principle
Creators: name: Kowalski, F. V.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: An interferometer in which all of its components are treated as quantum bodies is examined with the standard interpretation and with a model in which its uncoupled spatially separated components act collectively. These models utilize superposition principles that differ when applied to systems composed of three or more bodies. Interferometric disparities between them involving frequency shifts and recoil are shown to be difficult to measure. More pronounced discrepancies involve correlated interference. The collective model is shown to provide a missing connection between quantum and semiclassical theories. Scattering from an entangled state, which cannot be divided into disjoint parts, is discussed in relation to collective recoil. Collective scattering is shown to be a viable alternative to the standard model, thereby providing insight into constructing tests of the superposition principle in systems with three or more bodies.
description: 11 pages, 1 figure
SUSTAINair Contributions to Standardization
Creators: name: Gradinger, Rudolf
Publisher: name: Zenodo
Year: 2024

description: This public deliverable, D6.5, relates to possible pathways for certifying innovations arising from SUSTAINair research outcomes for actual usage in series production within the aviation industry. The goal of this document is to provide an introduction to the relevant aspects of certification and identify possible certification routes for SUSTAINair innovations, particularly those related to new or modified materials. As a public deliverable, it aims to contribute to future investigations in this field by other RIA projects, the aviation industry, or other stakeholders in circular aviation.

To address this important topic, the SUSTAINair consortium collaborated with the European Union Aviation Safety Agency (EASA). This report summarizes the results obtained through this cooperation, particularly focusing on the SUSTAINair Workshop on Contribution to Standardisation, which was held on March 17th, 2024, at EASA Headquarters in Cologne, Germany.

The report provides an outline and overview of the certification process for the aviation industry in the European Union and evaluates selected SUSTAINair results compared to the identified certification routes. It investigates how SUSTAINair findings could potentially be implemented by the industry in the near future and serves as the starting point for a roadmap to the certification of SUSTAINair results.

The SUSTAINair consortium extends its gratitude to the European Union Aviation Safety Agency (EASA), and especially to Structures and Cabin Safety Expert Aiko Dühne, for providing insights into standardization processes and contributing to this document.
Satellite and AI monitoring humanitarian crises in the Gaza Strip during the early stage of Israeli–Palestinian conflict
Creators: name: Zhao, Qikang
name: Tan, Xin
name: Meng, Qingyan
name: Gao, Liang
name: Zhang, Linlin
name: Lei, Xuewen
name: Shi, Wenxu
name: Zhu, Mingming
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biophysics
subject: Space Science
subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine

description: Extensive power shortages and airstrikes have plunged Gaza into a severe humanitarian crisis. Here, we introduce a rapid and efficient framework to evaluate the impacts of armed conflict and monitor potential humanitarian crises in the Gaza Strip based on multi-source satellite imageries and cutting-edge artificial intelligence (AI) techniques. Since October 9th, 2023, the complete blockade had led to widespread power outages across the entire Gaza Strip, particularly in the southern region. Airstrikes destroyed more than 20% of buildings, including nearly 60% of shops and hospitals, as well as 80% of water infrastructure. The affected vulnerable population exposure is further quantified at the block level, which further helps determine high-risk humanitarian crisis locations and aid in the precise allocation of humanitarian resources. In general, the proposed framework performs well in applying to complex environments during an armed conflict. It can also offer rapid and continuous monitoring of the Gaza Strip and can be broadly applied in armed conflicts or natural disasters. Our research is one of the early studies to apply AI foundation models to improve the efficiency of rapid post-disaster investigation.
The Impact of Roles Assignment on the Quality of Online Case-Based Discussion
Creators: name: Olesova, Larisa
name: Slavin, Margaret
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: teaching online; pedagogy; learning strategies; problem-based learning; collaborative learning; inquiry-based learning

description: The role assignment is an increasingly popular approach for facilitating and evaluating asynchronous online discussions (Strijbos & Weinberger, 2010), with aspirations to enhance students' cognitive presence. However, simply assigning roles may not improve knowledge construction, engagement, or interaction necessary to achieve this goal. Cognitive presence is a critical facet of the community of inquiry, rooted in the critical thinking literature, and is operationalized by the practical inquiry model for assessment purposes (Garrison, Anderson, & Archer, 2001).

This presentation will share the methods and results of a study investigating changes in the level of cognitive presence while students played roles (starter, wrapper, and skeptic) in asynchronous online case-based discussions. The study was conducted during fall 2013, spring 2014 and summer 2014 in NUTR 295-DL at George Mason University. The research questions for this study were, "What is the impact of role playing on the level of cognitive presence? How is cognitive presence expressed across different roles played by students when they participate in asynchronous online discussion?"
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
The Beauty of Teaching Interdisciplinary Courses: How Does a Combination of Technology-Based Lectures and Writing-Intensive Assignments Promote Learning?
Creators: name: Kim, Younsung
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: technology-enriched; student writing; sustainability

description: Sustainability is not solely a scientific issue or an environmental issue. It presents enormous challenges to human and natural systems and includes political, economic, legal, and ethical dimensions. Instructors who teach sustainability-related courses face significant challenges following from the interdisciplinary nature of the subject. Some students lack an interdisciplinary approach, as they have been strongly ingrained in traditional natural or social science academic domains. In other instances, students are unaware of or unconcerned about environmental or sustainability issues, being less actively engaged in classroom discussions. This session presents strategic pedagogical techniques that have been implemented in a single interdisciplinary sustainability course titled, "Environmental Policymaking in Developing Countries." The course, which has been offered to upper-level undergraduate students in Global Affairs and other majors, also meets the university's writing-intensive course requirements. The findings suggest that technology-based learning tools, including video clips and game simulations, are useful in integrating multiple sources of information and ensuring students receive a more inclusive perspective than they would from consulting a single conventional textbook. Research-based writing assignments, in which students apply concrete learning concepts to real-world sustainability challenges, are shown to be a powerful vehicle for enhancing students' understanding of the multifaceted concept of sustainability. This session provides insights into how to build interdisciplinarity into teaching that are relevant for instructors in a broad range of courses in various academic domains.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Interconnection between density-regulation and stability in competitive ecological network
Creators: name: Samadder, Amit
name: Chattopadhyay, Arnab
name: Sau, Anurag
name: Bhattacharya, Sabyasachi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Populations and Evolution (q-bio.PE)
subject: FOS: Biological sciences

description: In natural ecosystems, species can be characterized by the nonlinear density-dependent self-regulation of their growth profile. Species of many taxa show a substantial density-dependent reduction for low population size. Nevertheless, many show the opposite trend; density regulation is minimal for small populations and increases significantly when the population size is near the carrying capacity. The theta-logistic growth equation can portray the intraspecific density regulation in the growth profile, theta being the density regulation parameter. In this study, we examine the role of these different growth profiles on the stability of a competitive ecological community with the help of a mathematical model of competitive species interactions. This manuscript deals with the random matrix theory to understand the stability of the classical theta-logistic models of competitive interactions. Our results suggest that having more species with strong density dependence, which self-regulate at low densities, leads to more stable communities. With this, stability also depends on the complexity of the ecological network. Species network connectance (link density) shows a consistent trend of increasing stability, whereas community size (species richness) shows a context-dependent effect. We also interpret our results from the aspect of two different life history strategies: r and K-selection. Our results show that the stability of a competitive network increases with the fraction of r-selected species in the community. Our result is robust, irrespective of different network architectures.
description: The journal version of the paper contained some minor typos that did not affect the conclusions or results. However, in this version of the manuscript, we have corrected them
Using Bug-In-Ear Coaching to Improve Instruction
Creators: name: Weiss, Margaret
name: Regan, Kelley
name: Kurz, Leigh Ann
name: Orenstein, Andrew
name: Good, Kevin
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: reflective teaching practice; Scholarship of Teaching & Learning (SoTL)

description: Feedback on teaching has traditionally been provided through observation and subsequent discussion. However, Rock et al. (2009) state that "researchers have demonstrated that consistent delivery of immediate, positive, corrective, and specific feedback can influence both teacher attitudes and teacher behavior" (p. 65). Using the combination of video streaming and bug-in-ear technology, Rock and colleagues have been able to coach teachers while they are delivering instruction to use effective practices (e.g., Rock et al., 2014).

This presentation will highlight findings from an ongoing project to use bug-in-ear coaching to improve teacher use of effective instructional practices in K-12 and in higher education. We will describe our process and pitfalls in establishing the project as well as preliminary results for changing teacher practice with interns teaching in local schools as well as doctoral students and faculty. Results from participants' reflections, changes in teacher instructional behavior, and changes in coaching behavior will be presented. We will include a demonstration of real time BIE coaching.

Discussion will include:
• The need for real-time coaching, especially for doctoral students
• The impact of coaching on teacher and coach behavior
• The importance of appropriate development and introduction of coaching
• Future research directions.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
A Participatory Action Research Study of Collaborative Course Development Across Higher Education Programs
Creators: name: Weiss, Margaret
name: Pellegrino, Anthony
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: pedagogy; reflective teaching practice; Scholarship of Teaching & Learning (SoTL)

description: Collaboration is a much-used term that connotes images of teams working together to facilitate better outcomes. Being able to work with others in professional environments has become an expected part of most careers. While many courses in higher education require students to collaborate in various capacities in order to learn about working together and value differing perspectives, few faculty members teach together to model effective collaborative partnerships.

This presentation will highlight findings from a participatory action research study of two Mason faculty members from different programs who developed and co-taught an integrated course about school-based collaboration for prospective and practicing educators. We will describe results from interviews, observations, and analysis of course materials related to:
• Developing a collaborative philosophical framework and purpose for the course
• Negotiating collaborative assignments and assessments
• Integrating our expertise to coteach class sessions
• Identifying and resolving philosophical and infrastructure challenges
• Interpreting student feedback and outcomes.

Discussion will include:
• The need for university dialogue about academic collaboration
• The impact faculty interactions have on collaborative efforts
• The importance of curricular vision and coherence in collaborative efforts
• Future research directions.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Integrating trajectory data and demographic characteristics: a trajectory semantic model for predicting travel flow and conducting interaction analysis
Creators: name: Liu, Changjian
name: Gong, Shuhui
name: Su, Hui
name: Chen, Jianwei
name: Guo, Honglei
name: He, Jifeng
name: Jing, Changfeng
name: Liu, Yu
Publisher: name: Taylor & Francis
Year: 2024
Subjects: 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: With urbanisation and population growth, understanding spatial interactions in cities is increasingly vital for urban management. In recent decades, spatial interactions could be predicted accurately with the support of large GPS data, but anonymous trajectory data lacks semantic details, limiting predictions and behaviour understanding. To address this, we proposed a Semantic-Integrated Mobility Trajectory Model (SMTM), integrating social media check-in data, remote sensing imagery, and taxi trajectory data capable of accurately predict travel flow. Specifically, Convolutional Neural Networks (CNN) and Long Short Term Memory (LSTM) extract demographic insights, Graph Convolutional Networks (GCN) and Gate Recurrent Units (GRU) are incorporated to predict spatial interaction intensity. We conducted two case studies in New York City, U.S., and Ningbo, China, using taxi trips (over three million trips in New York and nearly one million trips in Ningbo) and social media check-in data (around 60,000 records for each city). Results demonstrate excellent performance over baselines. Furthermore, the integration of travel trajectories and census data revealed diverse travel preferences at various scales, including intra-region, inter-region, and inter-urban. The SMTM model contributes to optimising the design of public spaces and personalised recommendations.
Bayesian Covariance Structure Modeling of Multi-Way Nested Data
Creators: name: Baas, Stef
name: Boucherie, Richard J.
name: Fox, Jean-Paul
Publisher: name: arXiv
Year: 2022
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: A Bayesian multivariate model with a structured covariance matrix for multi-way nested data is proposed. This flexible modeling framework allows for positive and for negative associations among clustered observations, and generalizes the well-known dependence structure implied by random effects. A conjugate shifted-inverse gamma prior is proposed for the covariance parameters which ensures that the covariance matrix remains positive definite under posterior analysis. A numerically efficient Gibbs sampling procedure is defined for balanced nested designs, and is validated using two simulation studies. For a top-layer unbalanced nested design, the procedure requires an additional data augmentation step. The proposed data augmentation procedure facilitates sampling latent variables from (truncated) univariate normal distributions, and avoids numerical computation of the inverse of the structured covariance matrix. The Bayesian multivariate (linear transformation) model is applied to two-way nested interval-censored event times to analyze differences in adverse events between three groups of patients, who were randomly allocated to treatment with different stents (BIO-RESORT). The parameters of the structured covariance matrix represent unobserved heterogeneity in treatment effects and are examined to detect differential treatment effects.
description: 30 pages, 5 figures, 4 tables
An Introduction to 3D Printing in the STEM Classroom
Creators: name: Sander, Evelyn
name: Manon, Christopher A
name: Seshaiyer, Padmanabhan
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: technology-enhanced

description: This session is designed to introduce the use of 3D printing in a mathematics or science classroom to those with little or no experience with the technology. It will be a hands-on introduction to design of models using two STEM-focused software packages: Mathematica and OpenSCAD. The audience will come away with a knowledge of the entire progression of 3D printing from an in-class design to the technical aspects of printing. The presentation is based on group-based lab materials created for the calculus classroom (funded by a 4-VA innovation grant). This project demonstrates how inquiry-based approaches can be employed to enhance student learning using a STEAM (Science, Technology, Engineering, Arts, and Mathematics).

The session will start with a 30-minute lecture, including a demonstration of 3D printing, a review of the types of scientific models available publicly, a discussion of some of the classroom models we have designed, and a summary of the labs given in the calculus classroom. The next hour will consist of a hands on introduction to designing printable scientific models in Mathematica and in OpenSCAD, an open source CAD-based system.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Stressed, Sedentary, or Centered? How to Create a Culture of Well-Being in Your Classroom with Centered Well-Being Breaks
Creators: name: Carmack, Suzanne
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: experiential learning; mindfulness/well-being; Mason student resource; Mason faculty resource; teacher wellness

description: The CenteredBeing method (Carmack, 2008, 2011, 2014) has been called a "new office habit" by the Washington Post (2012) and has been practiced by over 30,000 practitioners worldwide, including the Pan American/World Health Organization. This session, led by creator Suzie Carmack, PhD, MFA, MEd, ERYT (a Mason graduate and current adjunct faculty member), will teach attendees how to bring the evidence-based CenteredBeing method into their classrooms and also into their day as a "centering" well-being break. Specifically, attendees will learn how basic yoga therapy exercises can improve functional health by fighting the 28 different health outcomes that have been linked to stress and sedentarism (Booth, 2001). Attendees will learn how to link these movements with easy-to-follow mindfulness and relaxation practice techniques and positive communication strategies, in ways that simultaneously foster physical, mental, social, and comprehensive well-being. The session, which has been shared with over 100 organizations previously, is delivered in an experiential learning style, culminating with the opportunity for participants to share the method in a small group practice. Attendees will complete the session (1) able to practice the CenteredBeing method to sustain their own well-being and (2) empowered to lead CenteredBeing (centered well-being) breaks in their classrooms.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Quantum KdV hierarchy and quasimodular forms
Creators: name: van Ittersum, Jan-Willem M.
name: Ruzza, Giulio
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mathematical Physics (math-ph)
subject: Algebraic Geometry (math.AG)
subject: Number Theory (math.NT)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 05A17, 11F11, 14H70, 37K10

description: Dubrovin has shown that the spectrum of the quantization (with respect to the first Poisson structure) of the dispersionless Korteweg-de Vries (KdV) hierarchy is given by shifted symmetric functions; the latter are related by the Bloch-Okounkov Theorem to quasimodular forms on the full modular group. We extend the relation to quasimodular forms to the full quantum KdV hierarchy (and to the more general quantum Intermediate Long Wave hierarchy). These quantum integrable hierarchies have been defined by Buryak and Rossi in terms of the Double Ramification cycle in the moduli space of curves. The main tool and conceptual contribution of the paper is a general effective criterion for quasimodularity.
description: 22 pages; V2: minor corrections, Appendix B added
Learning Inside-Out: Turning the Outside World into Class with an Eye Towards Sustainability and Well-Being
Creators: name: Sklarew, Dann
name: Wingfield, Andrew
name: Richards, Allison
Publisher: name: Innovations in Teaching & Learning Conference Proceedings
Year: 2015
Subjects: engage learning; technology-enhanced

description: This session examines emerging "flipped classroom" techniques to promote active learning about sustainability and well-being. First, presenters share a few pedagogical tools for active, mobile learning among sustainability studies practitioners, including a few illustrations for each. These tools include social learning, living laboratories, service learning, and action research. Opportunities to enhance these activities through use of Mason's Patriot Green Fund will also be shared. Presenters will then explore how these tools could be adapted and used to foster learning and practice related to sustainability and well-being across the curricula of session participants.

Faculty who desire to enhance their pedagogy through active learning and address real-world community challenges should discover several valuable methods, a few pitfalls, and lots of lessons learned. Applications may span single sessions or entire courses. Those teaching upper-level undergraduate synthesis or graduate capstone courses with a focus on practical scholarship may find this session particularly useful to their teaching.
description: Innovations in Teaching & Learning Conference Proceedings, Vol 7 (2015): The Science of Learning: Using Research to Improve Teaching
Supplementary document for Compensation of the Scale Factor Nonlinear Error Introduced by Harmonic Distortion for Open-Loop Fiber Optic Gyroscopes - 6251474.pdf
Creators: name: Zhu, Lanxin
name: Cao, Yuwen
name: Huang, Huimin
name: Chen, Yanjun
name: Wang, Wenbo
name: Ma, Xiangdong
name: Li, Zhengbin
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplement for "Compensation of the Scale Factor Nonlinear Error Introduced by Harmonic Distortion for Open-Loop Fiber Optic Gyroscopes"
SCAT Uncovers ATLAS's First Tidal Disruption Event ATLAS18mlw: A Faint and Fast TDE in a Quiescent Balmer Strong Galaxy
Creators: name: Hinkle, Jason T.
name: Tucker, Michael A.
name: Shappee, Benjamin. J.
name: Holoien, Thomas W. -S.
name: Vallely, Patrick J.
name: de Jaeger, Thomas
name: Auchettl, Katie
name: Aldering, Greg
name: Ashall, Chris
name: Desai, Dhvanil D.
name: Do, Aaron
name: Payne, Anna V.
name: Tonry, John L.
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We present the discovery that ATLAS18mlw was a tidal disruption event (TDE) in the galaxy WISEA J073544.83+663717.3, at a luminosity distance of 334 Mpc. Initially discovered by the Asteroid Terrestrial Impact Last Alert System (ATLAS) on 2018 March 17.3, the TDE nature of the transient was uncovered only recently with the re-reduction of a SuperNova Integral Field Spectrograph (SNIFS) spectrum. This spectrum, taken by the Spectral Classification of Astronomical Transients (SCAT) survey, shows a strong blue continuum and a broad H$α$ emission line. Here we present roughly six years of optical survey photometry beginning before the TDE to constrain AGN activity, optical spectroscopy of the transient, and a detailed study of the host galaxy properties through analysis of archival photometry and a host spectrum. ATLAS18mlw was detected in ground-based light curves for roughly two months. From a blackbody fit to the transient spectrum and bolometric correction of the optical light curve, we conclude that ATLAS18mlw is best explained by a low-luminosity TDE with a peak luminosity of log(L [erg s$^{-1}$]) = $43.5 \pm 0.2$. The TDE classification is further supported by the quiescent Balmer strong nature of the host galaxy. We also calculated the TDE decline rate from the bolometric light curve and find $ΔL_{40} = -0.7 \pm 0.2$ dex, making ATLAS18mlw a member of the growing class of ``faint and fast'' TDEs with low peak luminosities and fast decline rates.
description: Updated to reflect the accepted version in MNRAS
Enhancing explainability of deep learning models for point cloud analysis: a focus on semantic segmentation
Creators: name: Matrone, Francesca
name: Paolanti, Marina
name: Frontoni, Emanuele
name: Pierdicca, Roberto
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Space Science
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Science Policy

description: Semantic segmentation of point clouds plays a critical role in various applications, such as urban planning, infrastructure management, environmental analyses and autonomous navigation. Understanding the behaviour of deep neural networks (DNNs) in analysing point cloud data is essential for improving segmentation accuracy and developing effective network architectures and acquisition strategies. In this paper, we investigate the traits of some state-of-the-art neural networks using indoor and urban outdoor point cloud datasets. We compare PointNet, DGCNN, and BAAF-Net on specifically selected datasets, including synthetic and real-world environments. The chosen datasets are S3DIS, SynthCity, Semantic3D, and KITTI. We analyse the impact of different factors such as dataset type (synthetic vs. real), scene type (indoor vs. outdoor), and acquisition system (static vs. mobile sensors). Through detailed analyses and comparisons, we provide insights into the strengths and limitations not only of different network architectures in handling urban point clouds but also of their data structure. This study contributes to going beyond the mere and unconditional use of AI algorithms, trying to explain DNNs behaviour in point cloud analysis and paving the way for future research to enhance segmentation accuracy and develop possible guidelines both for network design and data acquisition in the geomatics field.
Shi xu jian : [si shi wu juan] [volume 11]
詩緖箋 : [四十五卷] [第十一冊]
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.
A full-attention network with an open dataset for large-scale building semantic segmentation along long-span high-speed rail lines
Creators: name: Qiao, Wenfan
name: Shen, Li
name: Wang, Jicheng
name: Li, Zhilin
Publisher: name: Taylor & Francis
Year: 2024
Subjects: Biochemistry
Space Science
Cell Biology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified

description: Buildings adjacent to high-speed rail (HSR) tracks are one of the key concerns in the environmental hazard monitoring of HSR lines. The rapid and accurate extraction of building information for real-time inspection through high-resolution remote sensing (HRRS) images is a crucial and effective method to ensure the safe operation of high-speed trains. However, a significant challenge associated with this task emerges from the extremely intricate scenes and diverse buildings within HRRS images that cover long-span HSR lines. To surmount this challenge, this paper presents a high-quality HSR dataset and a novel full-attention semantic segmentation network (referred to as FANet) for building detection along HSR lines. The dataset provided contains rich HRRS image data and high-quality pixel-level building annotations. The proposed FANet is designed to enhance model performance by paying comprehensive attention to multi-level, multi-scale, and global relational information. Specifically, after analyzing the special requirements, a multi-scale global attention (MSGA) module and an affinity attention fusion (AAF) module have been devised and incorporated into FANet. The MSGA module is utilized to ensure the integrity and consistency of building extractions across various shapes and sizes, while the AAF module aids in the fine-grained identification of building outline boundaries. Extensive experiments conducted using the introduced HSR dataset, along with two publicly available building datasets–the Massachusetts building dataset and the Inria aerial image dataset–demonstrate the superior performance of the proposed approach. Moreover, the paper comprehensively discusses various applications that the HSR dataset can support for future research endeavors. The HSR dataset and method code will be made publicly accessible at https://github.com/QiaoWenfan/Building_Dataset.