bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reflecting on a Year of Emergency Remote Teaching
Authors: Lee Jeonghyun , Soleimani Farahnaz , Harmon Stephen W. 
Published: July 2022

AbstractThis chapter reflects on lessons learned from a year of emergency remote teaching at a technology-focused university since the pandemic outbreak in March 2020. We focus on practical implications for supporting faculty in future emergency remote teaching situations based on an understanding of how faculty adapted to this novel phenomenon and the challenges they encountered during the rapid transition. Specifically, we examine faculty members’ perceptions and attitudes toward emergency remote teaching by taking a mixed-methods approach. We conducted a study using data collected from two anonymous online surveys administered in April 2020 and December 2020 as well as case study interviews conducted in May 2020. Our findings suggest that engaging students in interactive discussions or collaborative activities and assessing students’ learning were the areas in which faculty struggled the most persistently across both semesters. Yet, we observed between the two semesters an increasing trend in the proportion of faculty who felt their course was suitable for online instruction. We also observed a similar uptick in faculty who sought instructional resources from within their department and technology experts on campus. Our study findings capture creative and flexible strategies that our instructors have used to overcome these instructional challenges (e.g., re-configuring projects to handle logistical difficulties). We also identify varying needs and other important individual factors that might explain different transitioning experiences among faculty. The chapter concludes by discussing next steps to effectively support faculty members’ instructional practices and rebuild “the hybrid model” of education for the post-pandemic era.
Chilean Perspectives on Educational Experiences and Innovations in Emergency Contexts
Authors: Sánchez Jaime , Reyes-Rojas José 
Published: July 2022

AbstractEmergency remote teaching began suddenly and widely by March 2020 after the World Health Organization declared the coronavirus pandemics Chilean education, as many other countries around the globe, adopted the methodology of remote teaching with little no previous experience and a lack of adequate and pertinent administrator, teacher, student, and parent preparation. This chapter presents, analyzes, and discusses the Chilean higher education experiences and innovations in emergency contexts during the COVID-19 pandemic. Actual and future perspectives are discussed on the basis of education in a country with frequent emergency contexts such as earthquakes, tsunamis, floods, fires and now a pandemic. We applied a systematic review research method to the higher education data and information that emerged during the coronavirus pandemic in Chile during the last year. As a result, we ended up drawing some trends, issues, and perspectives on Chilean higher education teaching and learning activities and innovation in emergency contexts. Finally, considering the results obtained, we discuss the main themes that emerged, and some lessons learned by Chilean education in times of pandemic, in order to be better prepared and equipped to face emergency situations with less disruption and detriment to teaching and learning in the future.
Online Learning Environments and Student Engagement: Meeting the Psychological Needs of Learners during the COVID-19 Pandemic
Authors: Hoi Vo Ngoc 
Published: July 2022

AbstractThis chapter reports the results of a qualitative study on students’ perception of the characteristics of the online learning environment and on how those characteristics affect their basic psychological needs and engagement during the emergency transition to online learning due to the Covid-19 pandemic. Semi-structured interviews with 24 students from a higher education institution in Vietnam revealed three main factors, including the instructor, peer groups, and technologies that either undermined or satisfied students’ basic psychological needs and affect students’ engagement in online learning. The findings shed light on the contextual factors that fulfill students’ needs for competence, autonomy, and relatedness, thus the findings provide instructors, course designers, and institutional leaders with useful information for the manipulation of instructional strategies and online learning conditions that promote student engagement in online learning in time of crisis.
Simulated Teaching: An Exploration of Virtual Classroom Simulation for Pre-service Teachers During the COVID-19 Pandemic
Authors: Azukas M. Elizabeth , Kluk Jason R. 
Published: July 2022

AbstractThe COVID-19 pandemic complicated the field experience component of teacher preparation because of K-12 school closures. To address these challenges, South Mountain University adopted a virtual classroom simulation, simSchool, in which students take on the role of teachers and interact with virtual students. The purpose of this self-study was to explore both the teacher and student perspectives in the initial implementation of simSchool in a secondary education methods course. Data collected for the study include simSchool performance reports, professor and student journals, student reflections, and student focus groups. Findings indicated that students required a more comprehensive introduction to and rationale for the use of the virtual simulation, more chunking of the training materials, and additional debriefing time after each of the modules. Students needed perseverance and resilience to make the sim work meaningful and had to be open to receiving feedback. Technology was initially a barrier but became less so as students spent more time in the sim. Ultimately the students perceived the sim as beneficial to their growth and development as teachers.
Population pharmacokinetic model to generate mechanistic insights in bile acid homeostasis and drug-induced cholestasis
Authors: de Bruijn Véronique M. P. , Rietjens Ivonne M. C. M. , Bouwmeester Hans 
Published: July 2022

AbstractBile acids (BA) fulfill a wide range of physiological functions, but are also involved in pathologies, such as cholestasis. Cholestasis is characterized by an intrahepatic accumulation of BAs and subsequent spillage to the systemic circulation. The aim of the present study was to develop physiologically based kinetic (PBK) models that would provide a tool to predict dose-dependent BA accumulation in humans upon treatment with a Bile Salt Export Pump (BSEP) inhibitor. We developed a PBK model describing the BA homeostasis using glycochenodeoxycholic acid as an exemplary BA. Population wide distributions of BSEP abundances were incorporated in the PBK model using Markov Chain Monte Carlo simulations, and alternatively the total amount of BAs was scaled empirically to describe interindividual differences in plasma BA levels. Next, the effects of the BSEP inhibitor bosentan on the BA levels were simulated. The PBK model developed adequately predicted the in vivo BA dynamics. Both the Markov Chain Monte Carlo simulations based on a distribution of BSEP abundances and empirical scaling of the total BA pool readily described the variations within and between data in human volunteers. Bosentan treatment disproportionally increased the maximum BA concentration in individuals with a large total BA pool or low BSEP abundance. Especially individuals having a large total BA pool size and a low BSEP abundance were predicted to be at risk for rapid saturation of BSEP and subsequent intrahepatic BA accumulation. This model provides a first estimate of personalized safe therapeutic external dose levels of compounds with BSEP-inhibitory properties.
A parabolic approach to the Calabi–Yau problem in HKT geometry
Authors: Bedulli Lucio , Gentili Giovanni , Vezzoni Luigi 
Published: July 2022

AbstractWe consider the natural generalization of the parabolic Monge–Ampère equation to HKT geometry. We prove that in the compact case the equation has always a short-time solution and when the hypercomplex structure is locally flat and admits a compatible hyperkähler metric, then the equation has a long-time solution whose normalization converges to a solution of the quaternionic Monge–Ampère equation first introduced in Alekser and Verbitsky (Isr J Math 176:109–138, 2010). The result gives an alternative proof of a theorem of Alesker (Adv Math 241:192–219, 2013).
Chemical Distance in Geometric Random Graphs with Long Edges and Scale-Free Degree Distribution
Authors: Gracar Peter , Grauer Arne , Mörters Peter 
Published: July 2022

AbstractWe study geometric random graphs defined on the points of a Poisson process ind-dimensional space, which additionally carry independent random marks. Edges are established at random using the marks of the endpoints and the distance between points in a flexible way. Our framework includes the soft Boolean model (where marks play the role of radii of balls centered in the vertices), a version of spatial preferential attachment (where marks play the role of birth times), and a whole range of other graph models with scale-free degree distributions and edges spanning large distances. In this versatile framework we give sharp criteria for absence of ultrasmallness of the graphs and in the ultrasmall regime establish a limit theorem for the chemical distance of two points. Other than in the mean-field scale-free network models the boundary of the ultrasmall regime depends not only on the power-law exponent of the degree distribution but also on the spatial embedding of the graph, quantified by the rate of decay of the probability of an edge connecting typical points in terms of their spatial distance.
QCNet: query context network for salient object detection of automatic surface inspection
Authors: Sun Jie , Yan Senbo , Song Xiaowen 
Published: July 2022

AbstractBuilding upon fully convolutional networks (FCNs), deep learning-based salient object detection (SOD) methods achieve gratifying performance in many vision tasks, including surface defect detection. However, most existing FCN-based methods still suffer from the coarse object edge predictions. The state-of-the-art methods employ intricate feature aggregation techniques to refine boundaries, but they are often too computational cost to deploy in the real application. This paper proposes a semantics guided detection paradigm for salient object detection. Guided atrous pyramid module is first applied on the top feature to segment complete salient semantics. Query context modules are further used to build relation maps between saliency and structural information from the top-down pathway. These two modules allow the semantic features to flow throughout the decoder phase, yielding detail enriched saliency predictions. Experimental results demonstrate that the proposed method performs favorably against the state-of-the-art methods on surface defect detection and SOD benchmarks. In addition, this method can detect at 27 FPS in a fully convolutional fashion without any post-processing, which has the potential for real-time detection.
Acetyl-dl-leucine in cerebellar ataxia ([18F]-FDG-PET study): how does a cerebellar disorder influence cortical sensorimotor networks?
Authors: Becker-Bense Sandra , Kaiser Lena , Becker Regina , Feil Katharina , Muth Carolin , Albert Nathalie L. , Unterrainer Marcus , Bartenstein Peter , Strupp Michael , Dieterich Marianne 
Published: July 2022

Abstract
Objective
The aim of the study was to deepen our insights into central compensatory processes of brain networks in patients with cerebellar ataxia (CA) before and with treatment with acetyl-dl-leucine (AL) by means of resting-state [18F]-FDG-PET brain imaging.

Methods
Retrospective analyses of [18F]-FDG-PET data in 22 patients with CA (with vestibular and ocular motor disturbances) of different etiologies who were scanned before (PET A) and on AL treatment (PET B). Group subtraction analyses, e.g., for responders and non-responders, comparisons with healthy controls and correlation analyses of regional cerebral glucose metabolism (rCGM) with symptom duration, ataxia (SARA) and quality of life (QoL) scores were calculated.

Results
Prior to treatment rCGM was consistently downregulated at the cerebellar level and increased in multisensory cortical areas, e.g., somatosensory, primary and secondary visual (including V5, precuneus), secondary vestibular (temporal gyrus, anterior insula), and premotor/supplementary motor areas. With AL (PET B vs. A) cerebellar hypometabolism was deepened and sensorimotor hypermetabolism increased only in responders with clinical benefit, but not for the non-responders and the whole CA group. A positive correlation of ataxia improvement with rCGM was found in visual and vestibular cortices, a negative correlation in cerebellar and brainstem areas. QoL showed a positive correlation with rCGM in the cerebellum and symptom duration in premotor and somatosensory areas.

Conclusions
Central compensatory processes in CA mainly involve multisensory visual, vestibular, and somatosensory networks as well as premotor/primary motor areas at the cortical level. The enhanced divergence of cortical sensorimotor up- and cerebellar downregulation with AL in responders could reflect amplification of inhibitory cerebellar mechanisms.
QoS-aware and multi-objective virtual machine dynamic scheduling for big data centers in clouds
Authors: Li Jirui , Zhang Rui , Zheng Yafeng 
Published: July 2022

AbstractEfficient resource scheduling is one of the most critical issues for big data centers in clouds to provide continuous services for users. Many existing scheduling schemes based on tasks on virtual machine (VM), pursued either load balancing or migration cost under certain response time or energy efficiency, which cannot meet the true balance of the supply and demand between users and cloud providers. The paper focuses on the following multi-objective optimization problem: how to pay little migration cost as much as possible to keep system load balancing under meeting certain quality of service (QoS) via dynamic VM scheduling between limited physical nodes in a heterogeneous cloud cluster. To make these conflicting objectives coexist, a joint optimization function is designed for an overall evaluation on the basis of a load balancing estimation method, a migration cost estimation method and a QoS estimation method. To optimize the consolidation score, an array mapping and a tree crossover model are introduced, and an improved genetic algorithm (GA) based on them is proposed. Finally, empirical results based on Eucalyptus platform demonstrate the proposed scheme outperforms exiting VM scheduling models.
Ecosystem transformation following the mid-nineteenth century cessation of Aboriginal fire management in Cape Pillar, Tasmania
Authors: Adeleye Matthew Adesanya , Haberle Simon Graeme , Ondei Stefania , Bowman David M. J. S. 
Published: July 2022

AbstractOngoing European suppression of Aboriginal cultural land management since early-nineteenth century colonisation is widely thought to have caused major transformations across all Australian landscapes, including vegetation thickening, severe fires and biodiversity declines. However, these effects are often confounded in the densely settled southern Australia due to European land transformation. Landscapes currently under conservation and national park management in Tasmania are generally less disturbed, providing an opportunity to track ecosystem changes caused by the removal of Aboriginal peoples following colonisation in southern Australia. We use a multi-proxy palaeoecological technique and the analysis of historical aerial photography to investigate these changes in Cape Pillar, southeast Tasmania. Results reveal a major ecological shift following European colonisation, with the replacement of stable, open wet heathland characterised by minor fires (active cultural land use) with dense dry scrub characterised by major fires (cessation of cultural land use). We also discuss potential background role of regional climatic shifts in the observed ecological changes. Management programmes designed to restore open heathland pre-colonial cultural ecosystem would help reduce the risk of large fires in Cape Pillar.
Devonian to Carboniferous continental-scale carbonate turnover in Western Laurentia (North America): upwelling or climate cooling?
Authors: Hedhli Makram , Dewing Keith , Beauchamp Benoit , Grasby Stephen E. , Meyer Rudi 
Published: July 2022

AbstractThe Devonian to Carboniferous (DC) transition coincided with a green-to-ice house climatic shift, anoxia, disappearance of lower latitude carbonate banks, and turnover from warm-to-cool water carbonate factories. In western Laurentia, the switch to carbonate factories dominated by cool-water biota was contemporaneous with a tectonically driven palaeogeographic change. To investigate this depositional shift and infer the relative impact of climate vs tectonics, a continental-scale sedimentological and geochemical study was conducted on twelve stratigraphic sections of DC strata from western Canada to southern Nevada (USA). The spatial–temporal distribution of microfacies records the turnover from [i] a Famennian lime mud-rich, shallow warm-water carbonate ramp with low sedimentation rates, mesotrophic conditions and tabular geometry to [ii] Tournaisian to Viséan lime mud-depleted and grainstone dominated cool-water carbonate ramp with anomalous high sedimentation rates, oligotrophic conditions and a pronounced slope. Positive excursions of δ18Ocarb (+ 2‰ V-PDB) and δ13Ccarb (+ 4‰ V-PDB) of Lower Mississippian carbonates likely correspond to the first cooling peak of the Carboniferous-Permian icehouse climate, following carbon withdrawal during black shale deposition during the late Famennian and early Tournaisian. However, late Tournaisian return of photozoan elements and their persistence throughout the Viséan suggests that warmer surface water existed, revealing a decoupling of the lower latitude ocean and the atmosphere. Shoaling of the thermocline was likely a result of cold-water upwelling along an open coast, as the Antler orogen no longer provided an oceanic obstruction to the west. This study shows that carbonate platforms are more susceptible to regional changes than global shifts.
Definitions of intent suitable for algorithms
Authors: Ashton Hal 
Published: July 2022

AbstractThis article introduces definitions for direct, means-end, oblique (or indirect) and ulterior intent which can be used to test for intent in an algorithmic actor. These definitions of intent are informed by legal theory from common law jurisdictions. Certain crimes exist where the harm caused is dependent on the reason it was done so. Here the actus reus or performative element of the crime is dependent on the mental state or mens rea of the actor. The ability to prosecute these crimes is dependent on the ability to identify and diagnose intentional states in the accused. A certain class of auto didactic algorithmic actor can be given broad objectives without being told how to meet them. Without a definition of intent, they cannot be told not to engage in certain law breaking behaviour nor can they ever be identified as having done it. This ambiguity is neither positive for the owner of the algorithm or for society. The problem exists over and above more familiar debates concerning the eligibility of algorithms for culpability judgements that mens rea is usually associated with. Aside from inchoate offences, many economic crimes with elements of fraud or deceit fall into this category of crime. Algorithms operate in areas where these crimes could be plausibly undertaken depending on whether the intent existed in the algorithm or not.
Analytical design models for geotechnical seismic isolation systems
Authors: Tsang Hing-Ho 
Published: July 2022

AbstractGeotechnical Seismic Isolation (GSI) can be defined as a new category of seismic isolation techniques that involve the dynamic interaction between the structural system and geo-materials. Whilst the mechanism of various GSI systems and their performance have already been demonstrated through different research methods, there is a missing link between fundamental research and engineering practice. This paper aims to initiate the development in this direction. A new suite of equivalent-linear foundation stiffness and damping models under the same framework is proposed for four GSI configurations, one of which is a novel combination of two existing ones. The exact solutions for the equivalent dynamic properties of flexible-base systems have also been derived that explicitly include the foundation inertia and the strain-dependent equivalent damping of foundation materials, which are both significant for GSI systems. The application of the proposed analytical design models has been illustrated through response history analyses and a detailed hand-calculation design procedure has also been outlined and demonstrated.
Natural and Anthropogenic Sources of Seismic, Hydroacoustic, and Infrasonic Waves: Waveforms and Spectral Characteristics (and Their Applicability for Sensor Calibration)
Authors: Schwardt Michaela , Pilger Christoph , Gaebler Peter , Hupe Patrick , Ceranna Lars 
Published: July 2022

AbstractThe record of seismic, hydroacoustic, and infrasonic waves is essential to detect, identify, and localize sources of both natural and anthropogenic origin. To guarantee traceability and inter-station comparability, as well as an estimation of the measurement uncertainties leading to a better monitoring of natural disasters and environmental aspects, suitable measurement standards and reliable calibration procedures of sensors, especially in the low-frequency range down to 0.01 Hz, are required. Most of all with regard to the design goal of the Comprehensive Nuclear-Test-Ban Treaty Organisation’s International Monitoring System, which requires the stations to be operational nearly 100% of the time, the on-site calibration during operation is of special importance. The purpose of this paper is to identify suitable excitation sources and elaborate necessary requirements for on-site calibrations. We give an extensive literature review of a large variety of anthropogenic and natural sources of seismic, hydroacoustic, and infrasonic waves, describe their most prominent features regarding signal and spectral characteristics, explicitly highlight some source examples, and evaluate the reviewed sources with respect to requirements for on-site calibrations such as frequency bandwidth, signal properties as well as the applicability in terms of cost–benefit. According to our assessment, earthquakes stand out across all three waveform technologies as a good natural excitation signal meeting the majority of the requirements. Furthermore, microseisms and microbaroms allow a calibration at very low frequencies. We also find that in each waveform technique man-made controlled sources such as drop weights or air guns are in good agreement with the required properties, although limitations may arise regarding the practicability. Using these sources, procedures will be established allowing calibration without record interrupting, thereby improving data quality and the identification of treaty-related events.