bluuebunny/crossref_metadata_2025_split huggingface dataset:
Plant invasion impacts on fungal community structure and function depend on soil warming and nitrogen enrichment
Authors: Anthony M. A. , Stinson K. A. , Moore J. A. M. , Frey S. D. 
Published: November 2020

AbstractThe impacts of invasive species on biodiversity may be mitigated or exacerbated by abiotic environmental changes. Invasive plants can restructure soil fungal communities with important implications for native biodiversity and nutrient cycling, yet fungal responses to invasion may depend on numerous anthropogenic stressors. In this study, we experimentally invaded a long-term soil warming and simulated nitrogen deposition experiment with the widespread invasive plantAlliaria petiolata(garlic mustard) and tested the responses of soil fungal communities to invasion, abiotic factors, and their interaction. We focused on the phytotoxic garlic mustard because it suppresses native mycorrhizae across forests of North America. We found that invasion in combination with warming, but not under ambient conditions or elevated nitrogen, significantly reduced soil fungal biomass and ectomycorrhizal relative abundances and increased relative abundances of general soil saprotrophs and fungal genes encoding for hydrolytic enzymes. These results suggest that warming potentially exacerbates fungal responses to plant invasion. Soils collected from uninvaded and invaded plots across eight forests spanning a 4 °C temperature gradient further demonstrated that the magnitude of fungal responses to invasion was positively correlated with mean annual temperature. Our study is one of the first empirical tests to show that the impacts of invasion on fungal communities depends on additional anthropogenic pressures and were greater in concert with warming than under elevated nitrogen or ambient conditions.
An automated assessment method for integrated circuit chip detachment from printed circuit board by multistep binarization and template matching of X-ray transmission images
Authors: Ueda Takao , Oki Tatsuya , Koyanaka Shigeki 
Published: November 2020

AbstractGiven the increase in digital product waste, demand for recycling of printed circuit boards (PCBs) is increasing. Precious and minor metals are often well concentrated in integrated circuit (IC) chips, especially in PCBs; hence, IC chips are primary targets for recycling. The technology for the non-destructive detachment of IC chips from PCBs is increasing in sophistication; however, the effectiveness of IC chip detachment is currently assessed manually and visually. In the present study, an automated IC chip detachment assessment method was developed, which combines multistep binarization and template matching of X-ray transmission images of crushed PCBs. To validate the method, five types of mechanically crushed PCBs from mobile phones were examined, and the developed method successfully assessed the IC chip detachment rate, with an average error rate of only 2.2% compared to visual assessment.
Dictionary adaptation and variational mode decomposition for gyroscope signal enhancement
Authors: Brzostowski Krzysztof , Świa̧tek Jerzy 
Published: November 2020

AbstractThe paper proposes an approach to signal denoising based on a combination of Variational Mode Decomposition with the Split Augmented Lagrangian Shrinkage Algorithm.In our research, we found that the proposed approach gives a great improvement of denoising gyroscopic signals. In turn, the results for the synthetic signals are not straightforward. For the bumps synthetic signals, the proposed algorithm gives the best results for different levels of signal degradation. While for the Doppler and blocks synthetic signals the reference methods give better results. However, for heavisine test signal the proposed algorithm gives better results in almost all cases.A weak point of the presented algorithm is its time complexity. The proposed approach is based on the Split Augmented Lagrangian Shrinkage Algorithm, which is the iterative optimization method since the time of computation strongly depends on the number of iterations.The presented results show that the proposed approach gives a great improvement in signal denoising and it is a promising direction of future research.
Allelopathy is pervasive in invasive plants
Authors: Kalisz Susan , Kivlin Stephanie N. , Bialic-Murphy Lalasia 
Published: November 2020

AbstractInvasive species utilize a wide array of trait strategies to establish in novel ecosystems. Among these traits is the capacity to produce allelopathic compounds that can directly inhibit neighboring native plants or indirectly suppress native plants via disruption of beneficial belowground microbial mutualisms, or altered soil resources. Despite the well-known prevalence of allelopathy among plant taxa, the pervasiveness of allelopathy among invasive plants is unknown. Here we demonstrate that the majority of the 524 invasive plant species in our database produce allelochemicals with the potential to negatively affect native plant performance. Moreover, allelopathy is widespread across the plant phylogeny, suggesting that allelopathy could have a large impact on native species across the globe. Allelopathic impacts of invasive species are often thought to be present in only a few plant clades (e.g., Brassicaceae). Yet our analysis shows that allelopathy is present in 72% of the 113 plant families surveyed, suggesting that this ubiquitous mechanism of invasion deserves more attention as invasion rates increase across the globe.
Evaluation of the ITER Real-Time Framework for Data Acquisition and Processing from Pulsed Gigasample Digitizers
Authors: Kadziela M. , Jablonski B. , Perek P. , Makowski D. 
Published: November 2020

AbstractPlasma diagnostics systems are becoming progressively more advanced. Contemporarily, researchers strive to achieve longer plasma pulses, and therefore, appropriate hardware is required. Analogue-to-Digital Converters are applied for data acquisition in many plasma diagnostic systems. Some diagnostic systems need data acquisition with gigahertz sampling frequency. However, gigasample digitizers working in continuous mode generate an enormous stream of data that requires suitable, high-performance processing systems. This becomes even more complicated and expensive for complex multi-channel systems. Nonetheless, numerous plasma diagnostic systems operate in a pulse mode. Thomson scattering (TS) diagnostics is a good example of a multi-channel system that does not require continuous data acquisition. Taking this into consideration, the authors decided to evaluate the CAEN DT5742 gigasample digitizer as a more cost-effective solution that would utilize the pulsed nature of the TS diagnostic system. The paper presents a complete data acquisition and processing system dedicated for plasma diagnostics based on the ITER real-time framework (RTF). Integration of RTF with real hardware is discussed. The authors of the paper have developed software including RTF function block for the CAEN DT5742 digitizer, example data processing algorithms, data archiving and publishing for plasma control system.
An improved rainfall-threshold approach for robust prediction and warning of flood and flash flood hazards
Authors: Ramos Filho Geraldo Moura , Coelho Victor Hugo Rabelo , Freitas Emerson da Silva , Xuan Yunqing , Almeida Cristiano das Neves 
Published: November 2020

AbstractThis paper presents an improved method of using threshold of peak rainfall intensity for robust flood/flash flood evaluation and warnings in the state of São Paulo, Brazil. The improvements involve the use of two tolerance levels and the delineating of an intermediate threshold by incorporating an exponential curve that relates rainfall intensity and Antecedent Precipitation Index (API). The application of the tolerance levels presents an average increase of 14% in the Probability of Detection (POD) of flood and flash flood occurrences above the upper threshold. Moreover, a considerable exclusion (63%) of non-occurrences of floods and flash floods in between the two thresholds significantly reduce the number of false alarms. The intermediate threshold using the exponential curves also exhibits improvements for almost all time steps of both hydrological hazards, with the best results found for floods correlating 8-h peak intensity and 8 days API, with POD and Positive Predictive Value (PPV) values equal to 81% and 82%, respectively. This study provides strong indications that the new proposed rainfall threshold-based approach can help reduce the uncertainties in predicting the occurrences of floods and flash floods.
Ockham on Memory and Double Intentionality
Authors: Perler Dominik 
Published: November 2020

AbstractOckham developed two theories to explain the intentionality of memory: one theory that takes previously perceived things to be the objects of memory, and another that takes one’s own earlier acts of perceiving to be the objects of memory. This paper examines both theories, paying particular attention to the reasons that motivated Ockham to give up the first theory in favor of the second. It argues that the second theory is to be understood as a theory of double intentionality. At the core of this theory is the thesis that one directly remembers one’s own acts, and indirectly also the objects of these acts. The paper analyzes the cognitive mechanism that makes this double intentionality possible and examines the causal account that Ockham gave for explaining the emergence of acts of remembering. It emphasizes that he accepted nothing more than a causal chain of acts and habits, thereby offering an ontologically parsimonious theory of memory.
Statistical Analysis of the Flexural Strength of Free-Standing Flame-Sprayed Alumina Coatings Prior and After Thermal Shock
Authors: Neumann Marc , Gehre Patrick , Hubálková Jana , Zielke Henry , Abendroth Martin , Aneziris Christos G. 
Published: November 2020

AbstractThe impact of thermal shock upon the scatter of flexural strength data of free-standing thin flame-sprayed Al2O3 coatings was examined. As published in the literature, thermally sprayed ceramic systems exhibit superior thermal shock resistance and against this background, the statistical evaluation of strength data prior and after the thermal shock was intensified. Thus, the Weibull parameters m and σ0 were compared before and after thermal shock from 1000 °C to room temperature. The flexural strength was determined utilising the ball-on-three-balls method. Although the general scale of the Weibull modulus m was rather low (< 6), considerable differences were shown after thermal shocking as the Weibull modulus decreased by a factor of about 3.
Dutch cardiology residents and the COVID-19 pandemic: Every little thing counts in a crisis
Authors:   the Junior Board (Juniorkamer) of the Netherlands Society of Cardiology (NVVC), Berger W. R. , Baggen V. , Vorselaars V. M. M. , van der Heijden A. C. , van Hout G. P. J. , Kapel G. F. L. , Woudstra P. 
Published: November 2020

AbstractThe COVID-19 pandemic has overwhelmed healthcare systems worldwide, and a large part of regular cardiology care came to a quick halt. A Dutch nationwide survey showed that 41% of cardiology residents suspended their training and worked at COVID-19 cohort units for up to 3 months. With tremendous flexibility, on-call schedules were altered and additional training was provided in order for residents to be directly available where needed most. These unprecedented times have taught them important lessons on crisis management. The momentum is used to incorporate novel tools for patient care. Moreover, their experience of pandemic and crisis management has provided future cardiologists with unique skills. This crisis will not be wasted; however, several challenges have to be overcome in the near future including, but not limited to, a second pandemic wave, a difficult labour market due to an economic recession, and limitations in educational opportunities.
Carbon dioxide sequestration in underground formations: review of experimental, modeling, and field studies
Authors: Kalam Shams , Olayiwola Teslim , Al-Rubaii Mohammed M. , Amaechi Benedict I. , Jamal Mohammad S. , Awotunde Abeeb A. 
Published: November 2020

AbstractCarbon dioxide has gradually found widespread usage in the field of science and engineering while various efforts have focused on ways to combat the menace resulting from the release of this compound in the atmosphere. A major approach to combating this release is by storage in various geological formations ranging from depleted reservoir types such as saline aquifers to other carbon sinks. In this research study, we reviewed the experimental, modeling, and field studies related to the underground storage of CO2. A considerable amount of research has been conducted in simulating and modeling CO2 sequestration in the subsurface. This review highlights some of the latest contributions. Additionally, the impact of CO2 sequestration on its surroundings due to chemical reactions, adsorption, capillarity, hysteresis, and wettability were reviewed. Some major challenges associated with CO2 injection have also been highlighted. Finally, this work presents a brief history of selected field scale projects such as Sleipner, Weyburn, In Salah, Otway Basin, Snøhvit, Alberta, Boundary Dam, Cranfield, and Ketzin. Thus, this study provides a guide of the CO2 storage process from the perspectives of experimental, modelling, and existing field studies.
Semantic Technologies for Situation Awareness
Authors: Baader Franz , Borgwardt Stefan , Koopmann Patrick , Thost Veronika , Turhan Anni-Yasmin 
Published: November 2020

AbstractThe project “Semantic Technologies for Situation Awareness” was concerned with detecting certain critical situations from data obtained by observing a complex hard- and software system, in order to trigger actions that allow this system to save energy. The general idea was to formalize situations as ontology-mediated queries, but in order to express the relevant situations, both the employed ontology language and the query language had to be extended. In this paper we sketch the general approach and then concentrate on reporting the formal results obtained for reasoning in these extensions, but do not describe the application that triggered these extensions in detail.
Social Vulnerability Factors and Reported Post-Disaster Needs in the Aftermath of Hurricane Florence
Authors: Crowley Julia 
Published: November 2020

AbstractThis research examines the relationship between social vulnerability factors and reported needs following Hurricane Florence. Weighted least squares regression models were used to identify predictor variables for valid registrations that reported needs pertaining to emergencies, food, and shelter. Data consisted of zip codes in North Carolina and South Carolina that received individual assistance for Hurricane Florence (N = 406). The results suggest that when controlling for event-specific factors and flood mitigation factors, the proportions of the population that is female, the population over 65, the population aged 5 and under, the population older than 5 years not speaking English, and the minority population were all predictors of the per capita reported emergency needs. When controlling for the same variables, the proportions of the population over the age of 25 with a Bachelor’s degree, the female population, the population aged 5 and under, the population above 5 years old that does not speak English, and the minority population were all predictors of the per capita reported food needs. With the same variables controlled for, three variables—the proportions of the population over 65, the population aged 5 and under, and the non-English-speaking population above 5 years of age—were all predictors of the per capita reported shelter needs. The results suggest that more attention should be given to these vulnerable populations in the pre-disaster planning process.
Radicalization Prevention by Means of Strengthening Social and Civic Competences
Authors: Sklad Marcin , Park Eri , van Venrooij Iris , Pickard Abigail , Wignand Jantine 
Published: November 2020

AbstractThis study evaluates the effects and reception of the Universal Curriculum Against Radicalization in Europe: an intervention aimed at preventing radicalization trough fostering social and civic competences and disrupting mechanisms involved in radicalization. A total of 191 Dutch secondary school students received the curriculum. The effects were assessed by contrasting the intervention and comparison groups. The curriculum was positively received by both teachers and students. Participants in the intervention group improved significantly more than the comparison group on the majority of measured outcomes: mindfulness, conflict resolution, assertiveness, (multiple) identity awareness, political self-efficacy, awareness of group pressure, critical open-mindedness, and perspective taking. Results suggest that the UCARE curriculum fosters skills and competences indicated to have preventive potential against radicalization.
Towards digital automation flexibility in large-scale timber construction: integrative robotic prefabrication and co-design of the BUGA Wood Pavilion
Authors: Wagner Hans Jakob , Alvarez Martin , Groenewolt Abel , Menges Achim 
Published: November 2020

AbstractThis paper discusses the digital automation workflows and co-design methods that made possible the comprehensive robotic prefabrication of the BUGA Wood Pavilion—a large-scale production case study of robotic timber construction. Latest research in architectural robotics often focuses on the advancement of singular aspects of integrated digital fabrication and computational design techniques. Few researchers discuss how a multitude of different robotic processes can come together into seamless, collaborative robotic fabrication workflows and how a high level of interaction within larger teams of computational design and robotic fabrication experts can be achieved. It will be increasingly important to discuss suitable methods for the management of robotics and computational design in construction for the successful implementation of robotic fabrication systems in the context of the industry. We present here how a co-design approach enabled the organization of computational design decisions in reciprocal feedback with the fabrication planning, simulation and robotic code generation. We demonstrate how this approach can implement direct and curated reciprocal feedback between all planning domains—paving the way for fast-paced integrative project development. Furthermore, we discuss how the modularization of computational routines simplify the management and computational control of complex robotic construction efforts on a per-project basis and open the door for the flexible reutilization of developed digital technologies across projects and building systems.
August 2020 Interim EuGMS guidance to prepare European Long-Term Care Facilities for COVID-19
Authors: Blain Hubert , Rolland Yves , Schols Jos M. G. A. , Cherubini Antonio , Miot Stéphanie , O’Neill Desmond , Martin Finbarr C. , Guérin Olivier , Gavazzi Gaëtan , Bousquet Jean , Petrovic Mirko , Gordon Adam L. , Benetos Athanase 
Published: November 2020

Abstract
Purpose
The European Geriatric Medicine Society (EuGMS) is launching a second interim guidance whose aim is to prevent the entrance and spread of COVID-19 into long-term care facilities (LTCFs).

Methods
The EuGMS gathered experts to propose a guide of measures to prevent COVID-19 outbreaks in LTCFs. It is based on the specific features of SARS-CoV-2 transmission in LTCFs, residents’ needs, and on experiences conducted in the field.

Results
Asymptomatic COVID-19 residents and staff members contribute substantially to the dissemination of COVID-19 infection in LTCFs. An infection prevention and control focal point should be set up in every LTCF for (1) supervising infection prevention and control measures aimed at keeping COVID-19 out of LTCFs, (2) RT-PCR testing of residents, staff members, and visitors with COVID-19 symptoms, even atypical, and (3) isolating subjects either infected or in contact with infected subjects. When a first LCTF resident or staff member is infected, a facility-wide RT-PCR test–retest strategy should be implemented for detecting all SARS-CoV-2 carriers. Testing should continue until no new COVID-19 cases are identified. The isolation of residents should be limited as much as possible and associated with measures aiming at limiting its negative effects on their mental and somatic health status.

Conclusions
An early recognition of symptoms compatible with COVID-19 may help to diagnose COVID-19 residents and staff more promptly. Subsequently, an earlier testing for SARS-CoV-2 symptomatic and asymptomatic LTCF staff and residents will enable the implementation of appropriate infection prevention and control. The negative effects of social isolation in residents should be limited as much as possible.
Social Objects, Response-Dependence, and Realism
Authors: PASSINSKY ASYA 
Published: November 2020

AbstractThere is a widespread sentiment that social objects such as nation-states, borders, and pieces of money are just figments of our collective imagination and not really ‘out there’ in the world. Call this the ‘antirealist intuition’. Eliminativist, reductive materialist, and immaterialist views of social objects can all make sense of the antirealist intuition, in one way or another. But these views face serious difficulties. A promising alternative view is nonreductive materialism. Yet it is unclear whether and how nonreductive materialists can make sense of the antirealist intuition. I develop a version of nonreductive materialism that is able to meet this explanatory demand. The central idea is that social objects are materially constituted, response-dependent objects. I go on to offer an independent argument in favor of this response-dependent view of social objects. I then suggest that a proponent of this view can appeal to the response-dependent nature of social objects to explain, or explain away, the antirealist intuition.
Feeling, Knowledge, Self-Preservation: Audre Lorde's Oppositional Agency and Some Implications for Ethics
Authors: WARD CALEB 
Published: November 2020

AbstractThroughout her work, Audre Lorde maintains that her self-preservation in the face of oppression depends on acting from the recognition and valorization of her feelings as a deep source of knowledge. This claim, taken as a portrayal of agency, poses challenges to standard positions in ethics, epistemology, and moral psychology. This article examines the oppositional agency articulated by Lorde's thought, locating feeling, poetry, and the power she calls ‘the erotic’ within her avowed project of self-preservation. It then explores the implications of taking seriously Lorde's account, particularly for theorists examining ethics and epistemology under nonideal social conditions. For situations of sexual intimacy, for example, Lorde's account unsettles prevailing assumptions about the role of consent in responsibility between sexual partners. I argue that obligations to solicit consent and respect refusal are not sufficient to acknowledge the value of agency in intimate encounters when agency is oppositional in the way Lorde describes.