bluuebunny/crossref_metadata_2025_split huggingface dataset:
Slope stability analysis of deep-seated landslides using limit equilibrium and finite element methods in Debre Sina area, Ethiopia
Authors: Mebrahtu Tesfay Kiros , Heinze Thomas , Wohnlich Stefan , Alber Michael 
Published: September 2022

AbstractSlope failure is a recurring natural hazard in the western margin of the Main Ethiopian Rift and especially around the Debre Sina area. To minimize the damage caused by failure events, a detailed investigation of landslide-prone areas identified using numerical modelling plays a crucial role. The main aim of this study is to assess the stability of slopes and to evaluate and compare safety factors calculated by the different available numerical methods. Stability analyses of slopes prone to different types of failures were performed with different techniques. The stability was assessed for slopes of complex geometry composed of aphanitic basalt, porphyritic basalt, tuff, and colluvium (poorly sorted clayey sand to silty sand) using the limit equilibrium method and the shear strength reduction method based on finite elements. Furthermore, numerical analysis was done under static and pseudo-static loading using the horizontal seismic coefficient to model their stability during a seismic event. Satellite images were used to select failure-prone slopes based on slope properties and identified past landslides, as well as to derive structural and geological information for the numerical models. The slope stability analysis indicates that the studied slopes are unstable, and any small-scale disturbance will further reduce the factor of safety and cause failure. The slope stability of landslide prone hills in the study area strongly depends on the saturation conditions and the seismic load.
2-Limits and 2-Terminal Objects are too Different
Authors: clingman tslil , Moser Lyne 
Published: September 2022

AbstractIn ordinary category theory, limits are known to be equivalent to terminal objects in the slice category of cones. In this paper, we prove that the 2-categorical analogues of this theorem relating 2-limits and 2-terminal objects in the various choices of slice 2-categories of 2-cones are false. Furthermore we show that, even when weakening the 2-cones to pseudo- or lax-natural transformations, or considering bi-type limits and bi-terminal objects, there is still no such correspondence.
Climate change and more disturbed land-use types will further the invasion of a non-native annual grass, Ventenata dubia
Authors: Adhikari Arjun , Mangold Jane , Mainali Kumar P. , Rew Lisa J. 
Published: September 2022

AbstractIdentification of suitable habitat for invasive weeds and their projected infestation extent across different land use cover types under a changing climate is crucial for the broad management goals of prevention, detection, and rapid response. In this study, we adopted an ensemble approach of species distribution models to project potential habitat of the invasive annual grass, Ventenata dubia, within the Gallatin County and along its road corridors, in Montana, USA, under current and future climates. The model prediction of V. dubia habitat was excellent with an AUC value of > 0.90. The climate predictors with most influence on V. dubia occurrence were precipitation, potential evapo-transpiration, relative humidity, vapor pressure deficit, and solar radiation for growing season months. Under current climate, the model projected 243 and 1,371 km2 coverage of V. dubia along road corridors and the entire County, respectively. The projected coverage of V. dubia was greatest for road corridors (239% under RCP4.5 and 302% under RCP8.5) compared to that of Gallatin County (127% under RCP4.5 and 241% under RCP8.5). Among the land use cover types, the model projected greatest expansion of V. dubia across agriculture land with 425% and 484%, and grasslands with 278% and 442% under RCP4.5 and RCP8.5 respectively. Our modelling approach suggests that the changing climate will facilitate spread and establishment of non-native species in disturbed habitats. We conclude that V. dubia with a short history of invasion is expanding at an alarming rate and requires greater investment in detection and monitoring to prevent further expansion.
Comparison of microfluidic platforms for the enrichment of circulating tumor cells in breast cancer patients
Authors: Sajdik Constantin , Schuster Eva , Holzer Barbara , Krainer Michael , Deutschmann Christine , Peter Stefan , Marhold Maximilian , Zeillinger Robert , Obermayr Eva 
Published: September 2022

Abstract
Purpose
Circulating tumor cells (CTCs) hold promise to be a non-invasive measurable biomarker in all cancer stages. Because the analysis of CTCs is still a technical challenge, we compared different types of microfluidic enrichment protocols to isolate these rare cells from the blood.

Methods
Blood samples from patients with early and metastatic breast cancer (BC) were processed using the microfluidic Parsortix® technology employing (i) a single-step cell separation using the standard GEN3D6.5 microfluidic cassette, (ii) a two-step separation with an upfront pre-enrichment, and (iii) a two-step separation with a different type of cassette. In the enriched cells, the gene expression levels of CTC-related transcripts were assessed using quantitative real-time PCR (qPCR) by Taqman® and Lightcycler (LC) technology.

Results
23/60 (38.3%) BC samples were assigned as positive due to the presence of at least one gene marker beyond the threshold level. The prevalence of epithelial markers was significantly higher in metastatic compared to early BC (EpCAM: 31.3% vs. 7.3%; CK19: 21.1% vs. 2.4%). A high level of concordance was observed between CK19 assessed by Taqman® and LC technology, and for detection of the BC-specific gene SCGB2A2. An upfront pre-enrichment resulted in lower leukocyte contamination, at the cost of fewer tumor cells captured.

Conclusion
The Parsortix® system offers both reasonable recovery of tumor cells and depletion of contaminating leukocytes when the single-step separation using the GEN3D6.5 cassette is employed. Careful selection of suitable markers and cut-off thresholds is an essential point for the subsequent molecular analysis of the enriched cells.
Sustainable multi-channel supply chain design: an intuitive fuzzy game theory approach to deal with uncertain business environment
Authors: Mahmoudi Ali , Mahmoudi Reza , Emrouznejad Ali , Hafezalkotob Ashkan 
Published: September 2022

AbstractBy introducing the concept of sustainable development, managers and policymakers in many industries have been encouraged to consider environmental and social issues in addition to economic objectives in their planning. Following this concept, sustainable supply chain management has become the main concern of many studies. Among all the strategies to achieve sustainability targets in a supply chain, cooperating with third-party logistics companies has attracted lots of attention. By providing more sustainable and efficient transportation services, 3PLs can help all types of regular, closed-loop, and circular SCs achieve more profit, while they are still sustainable, at least in distribution and collection/recycling stages. This study investigates the sustainable multi-channel SC design problem in the presence of the government and 3PLs. To bring the present study closer to the real-world situation, the problem is modeled using an intuitionistic fuzzy uncertainty approach. Considering the government as the leader of the SC in two centralized and decentralized decision structures, game theory has been applied to model the game between players and obtain optimal decision values. For the first time in the literature, public awareness toward green activities of the players, emission reduction, uncertainty, and delivery time have been considered in this study. The results show the presence of a 3PL will reduce the delivery time and the amount of pollution. Also, the findings confirm that governments can control the players' activities and encourage them to apply green strategies using financial tools.
Who Wants to Become Italian? A Study of Interest in Naturalisation among Foreign Migrants in Italy
Authors: Barbiano di Belgiojoso Elisa , Ortensi Livia Elisa 
Published: September 2022

AbstractSince the early 1990s, Italy, along with other countries situated at Europe’s periphery, has become an attractive destination for migrants due to its lax regulation of migration and its job market. Despite its restrictive naturalisation laws, an increasing number of migrants are becoming eligible for Italian citizenship, which has led to a growing number of naturalisations in recent years. Existing research exploring naturalisation and its determinants has found migrants’ ability to attain citizenship strongly depends on their interest in becoming a member of the host state, requirements (as defined by the host country), and their capacity to overcome various constraints such as the costs involved in the naturalisation process. However, few empirical studies have focused on immigrants’ interest in naturalisation. To fill this gap, we analyse migrants’ interest in naturalisation and how it correlates to their eligibility. This paper relies on the most recent data on interest in naturalisation from the 2018 and 2019 waves of the Regional Observatory for Integration and Multiethnicity of Lombardy (Italy). The results show that not all migrants are interested in naturalisation after assessing its perceived costs and benefits, thus confirming an instrumental approach to citizenship. Interest is mostly related to the legislation and conditions in the country of origin. Moreover, the relationship between eligibility and interest is highly dependent on civil stratification, and eligibility is not directly associated with interest.
Adolescent Family Characteristics Partially Explain Differences in Emerging Adulthood Subjective Well-Being After the Experience of Major Life Events: Results from the German KiGGS Cohort Study
Authors: Cohrdes Caroline , Meyrose Ann-Katrin , Ravens-Sieberer Ulrike , Hölling Heike 
Published: September 2022

AbstractExperiences from major life events (MLEs; e.g., starting work or living independently) accumulate in the transition to emerging adulthood. Adaption to such events, often operationalized as responses in subjective well-being (SWB), is highly diverse. This observation has prompted attempts to explain differences in SWB responses among individuals as well as events. Early family characteristics have been discussed as potentially enduringly beneficial or harmful for successful adaption to MLEs in emerging adulthood. In the current study, we investigated adolescent family characteristics as longitudinal predictors of emerging adult mental and physical SWB (direct associations) and their explanatory value for SWB differences after the experience of MLEs (indirect associations). Analyses were based on data from a German national cohort study of 6255 emerging adults (KiGGS survey; 46.6% male; mean age = 22.78 years, standard deviation = 3.26 years) who had participated in the baseline study 11 years prior. Results showed that, while experiencing unemployment or severe illness was most negatively related to SWB, high educational attainment had the most positive correlation. Adolescent family characteristics were longitudinal predictors of emerging adult SWB and partially explained differences in SWB after the experience of several MLEs. Most notably, adolescent family characteristics were indirectly associated with emerging adult SWB via permanent relationships, educational attainment, and unemployment. The results provide a basis for the better understanding and further development of research and targeted intervention or prevention measures to facilitate adaptive capacity and reduce adverse effects from certain events on SWB in the transition to emerging adulthood.
A Formalization of Dedekind Domains and Class Groups of Global Fields
Authors: Baanen Anne , Dahmen Sander R. , Narayanan Ashvni , Nuccio Mortarino Majno di Capriglio Filippo A. E. 
Published: September 2022

AbstractDedekind domains and their class groups are notions in commutative algebra that are essential in algebraic number theory. We formalized these structures and several fundamental properties, including number-theoretic finiteness results for class groups, in the Lean prover as part of the mathematical library. This paper describes the formalization process, noting the idioms we found useful in our development and ’s decentralized collaboration processes involved in this project.
Environmental Law and the Unsustainability of Sustainable Development: A Tale of Disenchantment and of Hope
Authors: Kotzé Louis J. , Adelman Sam 
Published: September 2022

AbstractIn this article we argue that sustainable development is not a socio-ecologically friendly principle. The principle, which is deeply embedded in environmental law, policymaking and governance, drives environmentally destructive neoliberal economic growth that exploits and degrades the vulnerable living order. Despite seemingly well-meaning intentions behind the emergence of sustainable development, it almost invariably facilitates exploitative economic development activities that exacerbate systemic inequalities and injustices without noticeably protecting all life forms in the Anthropocene. We conclude the article by examining an attempt to construct alternatives to sustainable development through the indigenous onto-epistemology of buen vivir. While no panacea, buen vivir is a worldview that offers the potential to critically rethink how environmental law could re-orientate away from its ‘centered’, gendered and anthropocentric, neoliberal sustainable development ontology, to a radically different ontology that embraces ecologically sustainable ways of seeing, being, knowing and caring.
Wasserstein dropout
Authors: Sicking Joachim , Akila Maram , Pintz Maximilian , Wirtz Tim , Wrobel Stefan , Fischer Asja 
Published: September 2022

AbstractDespite of its importance for safe machine learning, uncertainty quantification for neural networks is far from being solved. State-of-the-art approaches to estimate neural uncertainties are often hybrid, combining parametric models with explicit or implicit (dropout-based) ensembling. We take another pathway and propose a novel approach to uncertainty quantification for regression tasks, Wasserstein dropout, that is purely non-parametric. Technically, it captures aleatoric uncertainty by means of dropout-based sub-network distributions. This is accomplished by a new objective which minimizes the Wasserstein distance between the label distribution and the model distribution. An extensive empirical analysis shows that Wasserstein dropout outperforms state-of-the-art methods, on vanilla test data as well as under distributional shift in terms of producing more accurate and stable uncertainty estimates.
The role of citation networks to explain academic promotions: an empirical analysis of the Italian national scientific qualification
Authors: Martini Maria Cristiana , Pelle Elvira , Poggi Francesco , Sciandra Andrea 
Published: September 2022

AbstractThe aim of this paper is to study the role of citation network measures in the assessment of scientific maturity. Referring to the case of the Italian national scientific qualification (ASN), we investigate if there is a relationship between citation network indices and the results of the researchers’ evaluation procedures. In particular, we want to understand if network measures can enhance the prediction accuracy of the results of the evaluation procedures beyond basic performance indices. Moreover, we want to highlight which citation network indices prove to be more relevant in explaining the ASN results, and if quantitative indices used in the citation-based disciplines assessment can replace the citation network measures in non-citation-based disciplines. Data concerning Statistics and Computer Science disciplines are collected from different sources (ASN, Italian Ministry of University and Research, and Scopus) and processed in order to calculate the citation-based measures used in this study. Then, we apply logistic regression models to estimate the effects of network variables. We find that network measures are strongly related to the results of the ASN and significantly improve the explanatory power of the models, especially for the research fields of Statistics. Additionally, citation networks in the specific sub-disciplines are far more relevant than those in the general disciplines. Finally, results show that the citation network measures are not a substitute of the citation-based bibliometric indices.
Detecting anomalous referencing patterns in PubMed papers suggestive of author-centric reference list manipulation
Authors: Wren Jonathan D. , Georgescu Constantin 
Published: September 2022

AbstractAlthough citations are used as a quantifiable, objective metric of academic influence, references could be added to a paper solely to inflate the perceived influence of a body of research. This reference list manipulation (RLM) could take place during the peer-review process, or prior to it. Surveys have estimated how many people may have been affected by coercive RLM at one time or another, but it is not known how many authors engage in RLM, nor to what degree. By examining a subset of active, highly published authors (n = 20,803) in PubMed, we find the frequency of non-self-citations (NSC) to one author coming from a single paper approximates Zipf’s law. Author-centric deviations from it are approximately normally distributed, permitting deviations to be quantified statistically. Framed as an anomaly detection problem, statistical confidence increases when an author is an outlier by multiple metrics. Anomalies are not proof of RLM, but authors engaged in RLM will almost unavoidably create anomalies. We find the NSC Gini Index correlates highly with anomalous patterns across multiple “red flags”, each suggestive of RLM. Between 81 (0.4%, FDR < 0.05) and 231 (1.1%, FDR < 0.10) authors are outliers on the curve, suggestive of chronic, repeated RLM. Approximately 16% of all authors may have engaged in RLM to some degree. Authors who use 18% or more of their references for self-citation are significantly more likely to have NSC Gini distortions, suggesting a potential willingness to coerce others to cite them.
Review of Finding the Wind: A Novel for Young People of Any Age (2022)
Authors: Romm Norma , McIntyre-Mills Janet 
Published: September 2022

Abstract
This review is written in the form of a dialogue between the author (Janet Mills) and the reviewer (Norma Romm). This fits well with the way we usually work together as it helps to unfold ideas and to consider whether they can be improved. A conversation as we see it implies that the speaker does not wish to speak in an authoritative voice but invites and encourages further engagement with ideas as presented.
“My body…tends to betray me sometimes”: a Qualitative Analysis of Affective and Perceptual Body Image in Individuals Living with Endometriosis
Authors: Sayer-Jones Katherine , Sherman Kerry A. 
Published: September 2022

Abstract
Background
Endometriosis is a chronic reproductive disease manifesting in physical symptoms including pain, abdominal swelling, altered bowel and bladder function, and fatigue. These symptoms potentially threaten body image regarding subjective perceptions of functional, appearance, and sensory aspects of one’s body. The aim of this study was to qualitatively understand how endometriosis impacts on affective and perceptual aspects of body image.

Method
Participants (N = 40) were recruited through endometriosis consumer organizations. In an online survey, participants completed demographic and health history questions, then provided written narratives about body image–related impacts of their endometriosis in response to open-ended questions. These data were thematically analyzed using the template approach.

Findings
The majority of participants (Mage = 28.3 years) were employed part-time, diagnosed on average for 4.2 years, and reported pelvic pain and bloating, fatigue, and nausea symptoms. Thematic analysis yielded three themes including My Body is a Barrier, Needing to Hide Myself, and Body as Healer and Teacher, all of which reflected affective and perceptual aspects of body image.

Conclusion
These findings highlight wide-ranging body image–related impacts of endometriosis, suggesting the need for targeted interventions to address these concerns.
Teaching and Learning the Notion of Normal Distribution Using a Digital Resource
Authors: Salinas-Herrera Jesús , Salinas-Hernández Ulises 
Published: September 2022

AbstractThis study investigates the support provided using technology for learning the notion of normal distribution in high school students through the implementation of a teaching experiment. A strategy was designed and implemented using Fathom software as the main teaching resource. Data analysis focused on the role of the use of technology in student learning and the simulation process, considering the initial session. The conceptual framework was based on the documentational approach to didactics, whose perspective is to study the teacher’s use and design of resources in his teaching practice. Likewise, the results of the teaching experiment, whose objective was to introduce high school students to the notion of normal distribution by taking advantage of the repeated sampling resource using the Fathom software, are presented. The results show that the collaborative aspect of the lesson study methodology allowed professors to reflect and become aware of how they usually use the resources in their regular practice and thus contribute to improving their teaching activity. Evidence is provided on how students initiate a change in their reasoning to identify the probability of data collection from the simulation of problems with the software.
Factors contributing to a coronavirus disease 2019 (COVID-19) outbreak on a mixed medical-surgical unit in a Canadian acute-care hospital
Authors: McCallum Megan K. , Patriquin Glenn , Davis Ian R.C. , MacDonald Tammy , Gaston Daniel , LeBlanc Jason J. , Shabi Yahya , Johnston B. Lynn 
Published: September 2022

Abstract

Objective:
To identify preventable factors that contribute to the cross transmission of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) to patients in healthcare facilities.

Design:
A case–control study was conducted among inpatients on a coronavirus disease 2019 (COVID-19) outbreak unit.

Setting:
This study was conducted in a medical-surgical unit of a tertiary-care hospital in Nova Scotia in May 2021.

Patients:
Patients hospitalized on the unit for at least 12 hours and healthcare workers (HCW) working on the unit within 2 weeks of outbreak declaration were included.

Methods:
Risk factors for SARS-CoV-2 infection were analyzed using simple and multiple logistic regression. Whole-genome sequencing (WGS) was performed to identify SARS-CoV-2 strain relatedness. Network analysis was used to describe patient accommodation.

Results:
SARS-CoV-2 infections were identified in 21 patients (29.6%) and 11 HCWs (6.6%). WGS data revealed 4 distinct clades of related sequences. Several factors likely contributed to the outbreak, including failure to identify SARS-CoV-2, a largely incomplete or unvaccinated population, and patient wandering behaviors. The most significant risk factor for SARS-CoV-2 infection was room sharing with an infectious patient, which was the only factor that remained statistically significant following multivariate analysis (odds ratio [OR], 9.2l; 95% confidence interval [CI], 2.04–41.67; P = .004).

Conclusions:
This outbreak likely resulted from admission of 2 patients with COVID-19, with subsequent transmissions to 17 patients and 11 staff. WGS and bioinformatics analyses were critical to identifying previously unrecognized nosocomial transmissions of SARS-CoV-2. This study supports strategies to reduce nosocomial transmissions of SARS-CoV-2, such as single-patient rooms, promotion of COVID-19 vaccination, and infection prevention and control measures including management of wandering behaviors.