bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimation of canopy nitrogen content in winter wheat from Sentinel-2 images for operational agricultural monitoring
Authors: Bossung Christian , Schlerf Martin , Machwitz Miriam 
Published: June 2022

AbstractCanopy nitrogen content (CNC, kg/ha) provides crucial information for site-specific crop fertilization and the usability of Sentinel-2 (S2) satellite data for CNC monitoring at high fertilization levels in managed agricultural fields is still underexplored. Winter wheat samples were collected in France and Belgium in 2017 (n = 126) and 2018 (n = 18), analysed for CNC and S2-spectra were extracted at the sample locations. A comparison of three established remote sensing methods to retrieve CNC was carried out: (1) look-up-table (LUT) inversion of the canopy reflectance model PROSAIL, (2) Partial Least Square Regression (PLSR) and (3) nitrogen-sensitive vegetation indices (VI). The spatial and temporal model transferability to new data was rigorously assessed. The PROSAIL-LUT approach predicted CNC with a root mean squared error of 33.9 kg/ha on the 2017 dataset and a slightly larger value of 36.8 kg/ha on the 2018 dataset. Contrary, PLSR showed an error of 27.9 kg N/ha (R2 = 0.52) in the calibration dataset (2017) but a substantially larger error of 38.4 kg N/ha on the independent dataset (2018). VIs revealed calibration errors were slightly larger than the PLSR results but showed much higher validation errors for the independent dataset (> 50 kg/ha). The PROSAIL inversion was more stable and robust than the PLSR and VI methods when applied to new data. The obtained CNC maps may support farmers in adapting their fertilization management according to the actual crop nitrogen status.
The effect of communicative purpose and reading medium on pauses during different phases of the textualization process
Authors: Valenzuela Ángel , Castillo Ramón D. 
Published: June 2022

AbstractMultiple factors simultaneously interact during the writing process. The effect of these interacting factors must be considered if writing is studied as a dynamic and complex process that constantly changes. Based on that premise, the study aims to determine how the interaction between the reading medium and the communicative purpose of a writing task affects the pauses during different stages of the writing process. At the same time, it seeks to determine how this interaction is related to the writer's competence. Using a 2-by-2 experimental design, undergraduate students (n = 66) read documents (print or digital format) and completed a computer-embedded writing task with different communicative purposes (to persuade or to inform). While writing, pauses-related keystrokes were recorded. The results show that neither the reading medium nor the task purpose or the interaction of these two variables affect pauses. However, communicative purpose interacts with the stages of the writing process, so regardless of participants' writing competence, they took longer at the end of the writing process when the purpose was to persuade. Other interactions indicated that the type of pause interacts differentially with the stage and communicative purpose. These interactions and main effects were systematically related to the writer's competence; because once it was statistically controlled, these interactions and main effects were no longer significant. The results are analysed in terms of the cognitive processes underlying pauses, considering evidence from studies on hybrid reading-writing and integrated writing studies.
From industrial to digital citizenship: rethinking social rights in cyberspace
Authors: Tomasello Federico 
Published: June 2022

AbstractGrowing social inequalities represent a major concern associated with the Digital Revolution. The article tackles this issue by exploring how welfare regulations and redistribution policies can be rethought in the age of digital capitalism. It focuses on the history and enduring crisis of social citizenship rights in their connection with technological changes, in order to draw a comparison between the industrial and the digital scenario. The first section addresses the link between the Industrial Revolution and the genesis of social rights. It describes the latter as a legal ‘machine’ designed to offset the imbalances produced by the technological movement of industrialization. The second and third sections introduce the notion of ‘industrial citizenship’ to describe the architecture of social rights in mature industrial societies and to contend that European systems of welfare are still largely modeled on an industrial standard. The fourth part investigates the impact of the Digital Revolution on this model of social citizenship. It identifies debates on basic income as a major trajectory for redesigning welfare regulations in a post-industrial era, and the digital user as a crucial emerging subject of rights. The final part explores how digital users could be entitled to social rights as data suppliers. To this end, it introduces the idea of ‘digital-social rights’ resulting from the incorporation of welfare and redistribution principles into emerging digital rights. Hence, it proposes a legal-political framework for the redistribution of the revenues generated by data in the form of a ‘digital basic income’ for citizens of cyberspace.
Remote Interpreting in Immigration Tribunals
Authors: Grieshofer Tatiana 
Published: June 2022

AbstractAs part of the response to the COVID-19 pandemic, many jurisdictions across the world introduced remote hearings as an alternative way of continuing to offer access to courts. This practice-based article discusses the report prepared by the author for a judicial review case which revolved around the claim that in immigration settings the quality of interpreting conducted in fully online hearings is inferior to interpreting in face-to-face hearings. In the absence of pre-existing research comparing the impact of the physical and fully online settings on interpreting, the author’s expert witness report explored linguistic principles governing conversation and turn-taking management, power relations and narrativisation and discursive practices in online and physical settings to illustrate communicative advantages and disadvantages of each environment. The article draws on the investigations conducted for the expert witness report and pursues the following aims: (1) reflect on the role of linguistic expertise required for the case; (2) detail the conclusions drawn and recommendations endorsed in the report; (3) discuss the importance of effective communication in immigration settings; (4) challenge common misconceptions in relation to how narratives are elicited, shared and perceived; (5) explore safeguarding strategies for enhancing discursive practices in fully remote hearings in order to improve non-native speakers’ access to justice.
Do young people really engage in sustainable behaviors in their lifestyles?
Authors: Piscitelli Alfonso , D’Uggento Angela Maria 
Published: June 2022

AbstractIn recent years, environmental problems have become a serious issue worldwide due to the increasing damage caused by climate change. People’s environmental awareness has grown, and public opinion is now demanding effective action from governments. Young people around the world are playing an important role in this, with the Fridays For Future movement, calling on policymakers to make environmental protection one of their political priorities. Through a survey of 1,975 high school students, this paper aims to contribute to the study of young people’s sustainable behaviors and their awareness to take effective action against environmental degradation, to explore their concerns and opinions about environmental issues, and to find out what ecological practices they are willing to adopt in their daily lives. Data analysis is conducted using tree-based methods to examine the sustainable behaviors and define the key practices that constitute them. The results of classification tree show that sustainable behaviors impact lifestyles, whether through less demanding actions such as turning off the faucet or appliances, or willingness to work as a volunteer, among others. The Random Forest provides us with a ranked list of sustainable behaviors that young people engage in to reduce and stop environmental degradation. The results of this study may be of interest to policy makers who need to plan educational pathways for students from elementary school to university, as environmental culture must be a cornerstone of our society.
Anscombe and Intentional Agency Incompatibilism (for human and animal agents)
Authors: Mayr Erasmus 
Published: June 2022

AbstractIn “Causality and Determination”, Anscombe stressed that, in her view, physical determinism and free action were incompatible. As the relevant passage suggests, her espousal of incompatibilism was not merely due to specific features of human ‘ethical’ freedom, but (also) due to general features of agency, intentionality, and voluntariness. For Anscombe went on to tentatively suggest that lack of physical determination was required for the intentional conduct of animals we would not classify as ‚free‘, too. In this paper, I examine three different lines of argument to establish Anscombe’s latter suggestion, which are based on general considerations about the causal efficacy of psychological-agential phenomena, the nature of agency, and the specific features of intentional agency. I start with Anscombe’s own claim from “The Causation of Action” that microphysical determinism would make psychological and personal phenomena epiphenomenal, before I turn to the view of ‘Agency Incompatibilism’, that genuine agency requires the absence of antecedent necessitation, and, lastly, to concerns about some crucial features of intentional agency which we find in both human and animal agents.
Arguments for One Radio Access Network (OneRAN) mobile infrastructure
Authors: Sheikh Muhammad Usman , Lempiainen Jukka , Jäntti Riku 
Published: June 2022

AbstractThe frequency spectrum is a scarce resource, and is owned and regulated by the state to ensure its efficient and fair utilization. All over the world, a large number of Mobile Network Operators (MNOs) are already involved in either active or passive Radio Access Network (RAN) sharing to maximize cost savings. The aim of this article is to challenge the ownership of individual operator’s infrastructure and present technical arguments for One Radio Access Network (OneRAN) approach for deploying a cellular network. The enormous increase in data traffic and regulatory requirements concerning public safety communications provide the basis for migrating to OneRAN infrastructure. The OneRAN approach provides an opportunity to gain technological benefits and helps in meeting the requirements of critical communication. OneRAN targets to maximize the savings on capital and operational expenses. The main focus of this work is outdoor wide-area coverage i.e., outdoor users in rural areas and on highways, as it is assumed that indoor service provision in the future requires a dedicated indoor solution. For the research work of this article, a measurement campaign was launched and different Key Performance Indicators(KPIs) of Long Term Evolution(LTE) technology for three commercial MNOs of Finland were measured over a 52 km highway from Iittala to Tampere city. The acquired results highlight the gain of OneRAN infrastructure as it enhanced the user quality of experience i.e., user throughput, especially of the critical cell border users, and improved the overall system performance economically. Finally, supportive arguments are presented for having a OneRAN infrastructure specifically over the highways.
Disease Mechanisms of Multiple System Atrophy: What a Parallel Between the Form of Pasta and the Alpha-Synuclein Assemblies Involved in MSA and PD Tells Us
Authors: Melki Ronald 
Published: June 2022

AbstractIntracellular deposits rich in aggregated alpha-synuclein that appear within the central nervous system are intimately associated to Parkinson’s disease and multiple system atrophy. While it is understandable that the aggregation of proteins, which share no primary structure identity, such as alpha-synuclein and tau protein, leads to different diseases, that of a given protein yielding distinct pathologies is counterintuitive. This short review relates molecular and mechanistic processes to the observed pathological diversity associated to alpha-synuclein aggregation.
Comonotone lower probabilities with robust marginal distributions functions
Authors: Montes Ignacio 
Published: June 2022

AbstractOne of the usual dependence structures between random variables is comononicity, which refers to random variables that increase or decrease simultaneously. Besides the good mathematical properties, comonotonicity has been applied in choice theory under risk or in finance, among many other fields. The problem arises when the marginal distribution functions are only partially known, hence we only know bounds of their values. This can be mathematically modelled using p-boxes, allowing us to build a bridge with the theory of imprecise probabilities. This paper investigates the existence, construction and uniqueness of a joint (imprecise) comonotone model with the given marginal p-boxes. In particular, given that the joint comonotone model is not unique when it exists, we follow the philosophy of the imprecise probability theory and we characterise under which conditions there exists a least-committal comonotone model, called the comonotone natural extension.
Digitalisierung in der Schule: Vorschlag eines systematisierenden Rahmenmodells aus schulpädagogischer Perspektive
Authors: Syring Marcus , Bohl Thorsten , Lachner Andreas 
Published: June 2022

ZusammenfassungDer inflationäre Gebrauch des Begriffes „Digitalisierung“ im Kontext von Schule trägt zu seinem diffusen Verständnis bei. Daher geht der Beitrag der Frage nach, welche Aspekte mit dem Begriff aus schulpädagogischer Perspektive adressiert werden und entwickelt auf Grundlage eines narrativen Reviews ein systematisierendes Rahmenmodell. Die unterschiedlichen Ebenen und Aspekte des Modells werden anhand zentraler Diskurs- und Forschungslinien dargestellt. Chancen des Einsatzes des Modells werden abschließend diskutiert.
Influence of clustering coefficient on network embedding in link prediction
Authors: Robledo Omar F. , Zhan Xiu-Xiu , Hanjalic Alan , Wang Huijuan 
Published: June 2022

AbstractMultiple network embedding algorithms have been proposed to perform the prediction of missing or future links in complex networks. However, we lack the understanding of how network topology affects their performance, or which algorithms are more likely to perform better given the topological properties of the network. In this paper, we investigate how the clustering coefficient of a network, i.e., the probability that the neighbours of a node are also connected, affects network embedding algorithms’ performance in link prediction, in terms of the AUC (area under the ROC curve). We evaluate classic embedding algorithms, i.e., Matrix Factorisation, Laplacian Eigenmaps and node2vec, in both synthetic networks and (rewired) real-world networks with variable clustering coefficient. Specifically, a rewiring algorithm is applied to each real-world network to change the clustering coefficient while keeping key network properties. We find that a higher clustering coefficient tends to lead to a higher AUC in link prediction, except for Matrix Factorisation, which is not sensitive to the change of clustering coefficient. To understand such influence of the clustering coefficient, we (1) explore the relation between the link rating (probability that a node pair is the missing link) derived from the aforementioned algorithms and the number of common neighbours of the node pair, and (2) evaluate these embedding algorithms’ ability to reconstruct the original training (sub)network. All the network embedding algorithms that we tested tend to assign higher likelihood of connection to node pairs that share an intermediate or high number of common neighbours, independently of the clustering coefficient of the training network. Then, the predicted networks will have more triangles, thus a higher clustering coefficient. As the clustering coefficient increases, all the algorithms but Matrix Factorisation could also better reconstruct the training network. These two observations may partially explain why increasing the clustering coefficient improves the prediction performance.
Implementation and scalability of a digital intervention to reduce depressive symptoms in people with diabetes, hypertension or both in Brazil and Peru: a qualitative study of health system’s stakeholders’ perspectives
Authors: Cavero V. , Toyama M. , Castro H. , Couto M. T. , Brandt L. , Quayle J. , Menezes P. R. , Mohr D. C. , Araya R. , Miranda J. J. , Diez-Canseco F. 
Published: June 2022

AbstractTwo randomized controlled trials (RCTs) in Brazil and Peru demonstrated the effectiveness of CONEMO, a digital intervention supported by trained nurses or nurse assistants (NAs), to reduce depressive symptoms in people with diabetes and/or hypertension. This paper extends the RCTs findings by reflecting on the conditions needed for its wider implementation in routine care services. A qualitative study using semi-structured interviews and content analysis was conducted with nurses/NAs, clinicians, healthcare administrators, and policymakers. Informants reported that CONEMO would be feasible to implement in their health services, but some conditions could be improved before its scale-up: reducing workloads of healthcare workers; raising mental health awareness among clinicians and administrators; being able to inform, deliver and accompany the intervention; assuring appropriate training and supervision of nurses/NAs; and supporting the use of technology in public health services and by patients, especially older ones. We discuss some suggestions on how to overcome these challenges.
CEO Selection and Executive Appearance
Authors: Cook Douglas O. , Mobbs Shawn 
Published: June 2022

AbstractSurvey assessments have found limited evidence of benefits of executive attractiveness. We use an objective measure of facial attractiveness that is correlated with survey assessments but less noisy and identify several benefits from executive facial attractiveness previously found in the general population but heretofore empirically elusive among executives. We examine the effect of both measures on executive compensation, promotion to CEO and the corresponding shareholder reaction, and promotion to board chair. The objective measure identifies significantly positive labor market effects for executive attractiveness in all outcomes in contrast to survey assessments of attractiveness that do not correlate with any outcome.
How do the determinants of exclusive breast-feeding change over time? A multi-survey quasi-longitudinal study in Lao People’s Democratic Republic
Authors: Bal Niels , Boulom Sayvisene , van Brakel Kimberly A , Kounnavong Sengchanh , Essink Dirk R 
Published: June 2022

AbstractObjective:The current study aimed to assess trends, associated factors and the changes in these factors for exclusive breast-feeding (EBF) over the past two decades in Lao People’s Democratic Republic (Lao PDR).Design:The current study used a quasi-longitudinal design. Descriptive analyses were done with correction for complex survey design. Inferential analyses were done for survey years separately using multiple logistic regression. Finally, pooled logistic regression analysis was done using interaction terms to quantify the difference in association per year.Setting:The current study used data from all provinces of Lao PDR collected in the years 2000, 2006, 2011/2012 and 2017.Participants:Children aged six months or younger from Lao PDR.Results:EBF practice was estimated at 19·03 %, 26·87 %, 40·67 % and 44·89 % in the four survey years, respectively. Factors significantly associated with EBF included: region of residence, ethnicity, wealth index and age of child. Region and ethnicity saw significant changes in association, and the South developing positively over time as well as in the Lao-Thai ethnic group. Having had any antenatal visits was not associated with EBF practice, nor did this change over time.Conclusions:Our study shows how EBF trends, and factors associated with EBF, changed over time. We applied an easily replicable methodology to assess similar public health phenomena. We argue that such analysis is particularly relevant for transitioning countries. In such rapidly evolving settings, it is crucial to take into account changing underlying factors when assessing and developing public health policy.
God is Green: The Catholic Church's Re-Imagination of Environmental Norms
Authors: Chu Lan T. 
Published: June 2022

AbstractInternational discussions regarding the environment have too narrowly focused on contributions by secular actors. The Catholic Church, recognized for its influential role in the democratization processes of the 1990s, also has a long-standing position regarding climate change, yet remains understudied. How can the Church contribute to the international community's debates regarding the environment and climate change? Using the framework of constructivism and Jurgen Habermas' concept of institutional translation, I argue that the Church is a norm entrepreneur that promotes a foreign policy of human/integral ecology. The most recent articulation of this foreign policy is Pope Francis' encyclical Laudato Si’, which was referenced by the Holy See at the 26th UN Climate Change Conference (COP26) in 2021. The Church's participation at COP26 was the latest animation and application of the Church's foreign policy; I examine the Church's efforts to change the narrative on the environment toward a shared, global responsibility.
The Role of Groundwater Withdrawals on River Regulation: Example From the Columbia River Basin
Authors: Eldardiry Hisham , Zhou Tian , Huang Maoyi , Chegwidden Oriana S. 
Published: June 2022

AbstractThe Columbia River Basin (CRB) is heavily regulated by more than 250 dams on its river system while depending significantly on groundwater withdrawals in certain sub‐basins. Neglecting groundwater withdrawals in hydrologic models of the basin could result in inaccurate predictions of its water budget and thus mislead water management decisions in the basin. This study aims to understand the impacts of groundwater pumping on the spatiotemporal patterns of modeling regulated streamflow in the CRB using a modified version of the Variable Infiltration Capacity (VIC) model integrated with a water management component that accounts for groundwater withdrawals, irrigation demands, and reservoir operation (VIC‐GIRR). The VIC‐GIRR simulations showed that considering additional groundwater withdrawals would alleviate the stress of irrigation water deficit in the Snake River Basin with an average reduction of 10 km3/year. Such a reduction in water deficit resulted in slight streamflow increase over the CRB with maximum increase up to 40% during dry period in certain locations. We also note that the implementation of groundwater withdrawal does not, however, improve the overall model performance in long‐term averaged streamflow and storage predictions. Our results highlight the efforts needed to examine additional important processes in representing the interactions between water withdrawals and reservoir operations. Such efforts will aid in better simulation of multi‐reservoir system and improve effectiveness for agricultural productivity, power generation, flood control, and navigation purposes.