bluuebunny/crossref_metadata_2025_split huggingface dataset:
Civil Disobedience in Times of Pandemic: Clarifying Rights and Duties
Authors: Della Croce Yoann , Nicole-Berva Ophelia 
Published: July 2021

AbstractThis paper seeks to investigate and assess a particular form of relationship between the State and its citizens in the context of the COVID-19 pandemic, namely that of obedience to the law and its related right of protest through civil disobedience. We do so by conducting an analysis and normative evaluation of two cases of disobedience to the law: (1) healthcare professionals refusing to attend work as a protest against unsafe working conditions, and (2) citizens who use public demonstration and deliberately ignore measures of social distancing as a way of protesting against lockdown. While different in many aspects, both are substantially similar with respect to one element: their respective protesters both rely on unlawful actions in order to bring change to a policy they consider unjust. We question the extent to which healthcare professionals may participate in civil disobedience with respect to the duty of care intrinsic to the medical profession, and the extent to which opponents of lockdown and confinement measures may reasonably engage in protests without endangering the lives and basic rights of non-dissenting citizens. Drawing on a contractualist normative framework, our analysis leads us to conclude that while both cases qualify as civil disobedience in the descriptive sense, only the case of healthcare professionals qualifies as morally justified civil disobedience.
Metabolism in the Tumour-Bone Microenvironment
Authors: Whitburn Jessica , Edwards Claire M. 
Published: July 2021

Abstract
Purpose of Review
For solid tumours such as breast and prostate cancer, and haematological malignancies such as myeloma, bone represents a supportive home, where the cellular crosstalk is known to underlie both tumour growth and survival, and the development of the associated bone disease. The importance of metabolic reprogramming is becoming increasingly recognised, particularly within cancer biology, enabling tumours to adapt to changing environments and pressures. This review will discuss our current understanding of metabolic requirements and adaptations within the tumour-bone microenvironment.

Recent Findings
The bone provides a unique metabolic microenvironment, home to highly energy-intensive processes such as bone resorption and bone formation, both of which are dysregulated in the presence of cancer. Approaches such as metabolomics demonstrate metabolic plasticity in patients with advanced disease. Metabolic crosstalk between tumour cells and surrounding stroma supports disease pathogenesis.

Summary
There is increasing evidence for a key role for metabolic reprogramming within the tumour-bone microenvironment to drive disease progression. As such, understanding these metabolic adaptations should reveal new therapeutic targets and approaches.
Exploring the application of machine learning to the assembly line feeding problem
Authors: Moretti Emilio , Tappia Elena , Limère Veronique , Melacini Marco 
Published: July 2021

AbstractAs a large number of companies are resorting to increased product variety and customization, a growing attention is being put on the design and management of part feeding systems. Recent works have proved the effectiveness of hybrid feeding policies, which consist in using multiple feeding policies in the same assembly system. In this context, the assembly line feeding problem (ALFP) refers to the selection of a suitable feeding policy for each part. In literature, the ALFP is addressed either by developing optimization models or by categorizing the parts and assigning these categories to policies based on some characteristics of both the parts and the assembly system. This paper presents a new approach for selecting a suitable feeding policy for each part, based on supervised machine learning. The developed approach is applied to an industrial case and its performance is compared with the one resulting from an optimization approach. The application to the industrial case allows deepening the existing trade-off between efficiency (i.e., amount of data to be collected and dedicated resources) and quality of the ALFP solution (i.e., closeness to the optimal solution), discussing the managerial implications of different ALFP solution approaches and showing the potential value stemming from machine learning application.
Thrombospondin-2 as a diagnostic biomarker for distal cholangiocarcinoma and pancreatic ductal adenocarcinoma
Authors: Byrling J. , Hilmersson K. S. , Ansari D. , Andersson R. , Andersson B. 
Published: July 2021

Abstract
Purpose
Distal cholangiocarcinoma and pancreatic ductal adenocarcinoma are malignancies with poor prognoses that can be difficult to distinguish preoperatively. Thrombospondin-2 has been proposed as a novel diagnostic biomarker for early pancreatic ductal adenocarcinoma. The aim of the present study was to evaluate thrombospondin-2 as a diagnostic and prognostic biomarker in combination with current biomarker CA 19-9 for distal cholangiocarcinoma and pancreatic ductal adenocarcinoma.

Methods
Thrombospondin-2 was measured in prospectively collected serum samples from patients who underwent surgery with a histopathological diagnosis of distal cholangiocarcinoma (N = 51), pancreatic ductal adenocarcinoma (N = 52) and benign pancreatic diseases (N = 27) as well as healthy blood donors (N = 52) using an enzyme-linked immunosorbent assay.

Results
Thrombospondin-2 levels (ng/ml) were similar in distal cholangiocarcinoma 55 (41–77) and pancreatic ductal adenocarcinoma 48 (35–80) (P = 0.221). Thrombospondin-2 + CA 19-9 had an area under the curve of 0.92 (95% CI 0.88–0.97) in differentiating distal cholangiocarcinoma and pancreatic ductal adenocarcinoma from healthy donors which was superior to CA 19-9 alone (P < 0.001). The diagnostic value of adding thrombospondin-2 to CA 19-9 was larger in early disease stages. Thrombospondin-2 did not provide additional value to CA 19-9 in differentiating the benign disease group; however, heterogeneity was notable in the benign cohort. Three of five patients with autoimmune pancreatitis patients had greatly elevated thrombospondin-2 levels. Thrombospondin-2 levels had no correlation with prognoses.

Conclusions
Serum thrombospondin-2 in combination with CA 19-9 has potential as a biomarker for distal cholangiocarcinoma and pancreatic cancer.
Design of SNP markers for Aldabra giant tortoises using low coverage ddRAD-seq
Authors: Çilingir F. G. , Hansen D. , Ozgul A. , Grossen C. 
Published: July 2021

AbstractThe Aldabra giant tortoise (Aldabrachelys gigantea) is one of only two remaining giant tortoise species worldwide. Captive-bredA. giganteaare being used in rewilding projects in the Western Indian Ocean to functionally replace the extinct endemic giant tortoise species and restore degraded island ecosystems. Furthermore, large-scale translocations may become necessary as rising sea levels threaten the only wild population on the low-lying Aldabra Atoll. Critical management decisions would be greatly facilitated by insights on the genetic structure of breeding populations. We used a double-digest restriction-associated DNA sequencing (ddRAD-seq) approach to identify single nucleotide polymorphisms (SNP) among the wild population and two additional captive populations ofA. gigantea. A total of 1674 unlinked, putatively neutral genome-wide SNPs were identified. The values of expected heterozygosity ranged from 0.33 to 0.5, whereas the minor allele frequency ranged from 0.20 to 0.5. These novel SNP markers will serve as useful tools for informing the conservation ofA. gigantea.
Do disadvantaged schools have poorer teachers? Rethinking assumptions about the relationship between teaching quality and school-level advantage
Authors: Gore Jennifer , Jaremus Felicia , Miller Andrew 
Published: July 2021

AbstractImproving educational performance, including narrowing equity gaps, is frequently touted as a matter of improving the quality of teachers in the lowest performing, often disadvantaged, schools. However, the assumption that teaching is of poorer quality in disadvantaged schools is largely unsubstantiated. Using the Quality Teaching Model of pedagogy, we observed 832 lessons in 193 New South Wales primary schools and found a small relationship between teaching quality and school-level advantage. However, when 174 teachers from across the school spectrum participated in Quality Teaching Rounds we found equivalent, and substantial, gains in teaching quality across all levels of school advantage. This result indicates that differences in teaching quality are less a reflection of teacher capabilities than of the challenging circumstances in disadvantaged schools. We argue that policies seeking more equitable achievement should address wider social inequities, rather than unfairly blaming teachers for being unable to level an unequal playing field.
Discounting and life cycle assessment: a distorting measure in assessments, a reasonable instrument for decisions
Authors: Lueddeckens S. , Saling P. , Guenther E. 
Published: July 2021

AbstractAlthough the weighting of environmental impacts against each other is well established in life cycle assessment practice, the weighting of impacts occurring at different points in time is still controversial. This temporal weighting is also known as discounting, which due to its potential to offend principles of intergenerational equity, is often rejected or regarded as unethical. In our literature review, we found multiple disputes regarding the comprehension of discounting. We structured those controversial issues and compared them to the original discounted utility model on which discounting is based. We explain the original theory as an intertemporal decision instrument based on future utility. We conclude that intertemporal equity controversies can be solved if discounting is applied as an individual decision instrument, rather than as an information instrument, which could underestimate environmental damages handed to future generations. Each choice related to discounting—including whether or not to discount, or to discount at a rate of zero—should be well-founded. We illustrate environmental decision-related problems as a multidimensional issue, with at least three dimensions including the type of impact and spatial and temporal distributions. Through discounting framed as a decision instrument, these dimensions can be condensed into an explicit result, from which we can draw analogies to both weighting in life cycle assessment and financial decision instruments. We suggest avoiding discounting in environmental information instruments, such as single-product life cycle assessments, footprints, or labels. However, if alternatives have to be compared, discounting should be applied to support intertemporal decisions and generate meaningful results.
Quality of Mother–child Dialogue About Emotional Events, Coping and Posttraumatic Stress Symptoms Among Children Exposed to Interpersonal Trauma
Authors: Overbeek Mathilde M. , Koren-Karie Nina , de Schipper J. Clasien , van Delft Ivanka , Schuengel Carlo 
Published: July 2021

AbstractChildren exposed to traumatic events are at increased risk for developing symptoms of a Post-Traumatic Stress Disorder. Children often discuss emotional, and therefore also traumatic, events in their lives with their parents, and the quality of these discussions can facilitate coping and further development. The study aim was 1) to explore whether the association between the quality of dialogue between mothers and children about emotional events and children’s posttraumatic stress symptoms (PTSS) might be indirectly linked through children’s adaptive coping skills, and 2) whether this association differed when discussing different negative emotions. 169 mother–child dyads with interpersonal trauma-exposure (86% domestic violence, 14% mother and/or child sexually abused) participated in the Autobiographical Emotional Events Dialogue (AEED). Quality of mother–child emotion dialogue, captured in maternal sensitive guidance and child cooperation, and approach-oriented coping were coded from transcripts. PTSS was measured with the Child Behavior Checklist. Lower quality of mother–child emotion dialogue was associated with less approach-oriented coping and more symptoms of posttraumatic stress. There was an indirect effect of approach-oriented coping with angry feelings linking quality of mother–child emotion dialogue and child PTSS. Children’s symptoms of posttraumatic stress were reflected in the quality of mother–child dialogues about traumatic and other emotional events. Findings support that dialogues about emotional events may be a promising target for intervention with children exposed to trauma.
A deep network designed for segmentation and classification of leukemia using fusion of the transfer learning models
Authors: Saleem Saba , Amin Javeria , Sharif Muhammad , Anjum Muhammad Almas , Iqbal Muhammad , Wang Shui-Hua 
Published: July 2021

AbstractWhite blood cells (WBCs) are a portion of the immune system which fights against germs. Leukemia is the most common blood cancer which may lead to death. It occurs due to the production of a large number of immature WBCs in the bone marrow that destroy healthy cells. To overcome the severity of this disease, it is necessary to diagnose the shapes of immature cells at an early stage that ultimately reduces the modality rate of the patients. Recently different types of segmentation and classification methods are presented based upon deep-learning (DL) models but still have some limitations. This research aims to propose a modified DL approach for the accurate segmentation of leukocytes and their classification. The proposed technique includes two core steps: preprocessing-based classification and segmentation. In preprocessing, synthetic images are generated using a generative adversarial network (GAN) and normalized by color transformation. The optimal deep features are extracted from each blood smear image using pretrained deep models i.e., DarkNet-53 and ShuffleNet. More informative features are selected by principal component analysis (PCA) and fused serially for classification. The morphological operations based on color thresholding with the deep semantic method are utilized for leukemia segmentation of classified cells. The classification accuracy achieved with ALL-IDB and LISC dataset is 100% and 99.70% for the classification of leukocytes i.e., blast, no blast, basophils, neutrophils, eosinophils, lymphocytes, and monocytes, respectively. Whereas semantic segmentation achieved 99.10% and 98.60% for average and global accuracy, respectively. The proposed method achieved outstanding outcomes as compared to the latest existing research works.
Molecular identification of Anoplophora glabripennis (Coleoptera: Cerambycidae) and detection from frass samples based on real-time quantitative PCR
Authors: Taddei Andrea , Becker Matthias , Berger Beatrice , Da Lio Daniele , Feltgen Stephanie , König Stephan , Hoppe Björn , Rizzo Domenico 
Published: July 2021

AbstractAnoplophora glabripennis (Motschulsky 1853) (Coleoptera: Cerambycidae), the Asian Longhorned Beetle, is native to temperate and subtropical areas of China and the Korean peninsula. Due to its wide range of host plants, it is considered among the most economically important invasive plant pests. The morphological identification of A. glabripennis larvae can be confirmed by DNA barcoding, but obtaining the specimens from infested trees can be a demanding and challenging task. Therefore, non-invasive diagnostic tools based on DNA extracted from frass samples can be of key importance in phytosanitary surveys. In this study, an in silico generated real-time quantitative PCR test was developed for the detection of A. glabripennis DNA from frass material, which is naturally extruded from larval tunnels through cracks in the bark. Specificity was confirmed against a wide range of other wood-boring insect species frequently encountered during phytosanitary surveys and inclusivity was demonstrated for different populations of A. glabripennis from all main European outbreak areas. The test proved sensitive and reliable in detecting A. glabripennis DNA extracted from woody frass material of Acer saccharinum and Aesculus hippocastanum at least up to the 100-fold dilution. Furthermore, the test allowed the molecular identification of any life stage of the insect, including eggs and young larvae, whose morphological identification is impossible or very challenging. This study provides a reliable and sensitive molecular tool to detect A. glabripennis DNA in woody frass material, thus allowing a non-invasive sampling approach.
RapidXfer - data transfer framework for square kilometre array
Authors: Thavasimani Priyaa 
Published: July 2021

AbstractData Management of Astronomy Data is often a laborious task and it is even more challenging for the extraordinary amounts of data expected from the world’s largest radio telescope, Square Kilometre Array. There are overt issues in transferring the voluminous data and the traditional data transfer methods are fragile especially for the data transfer between two continents. To address this, a new data transfer framework is proposed and the data transfer is achieved using two steps: international and local transfers. The efficiency of different end-to-end data transfer tools used in is evaluated on different dataset sizes. Further, a comparative study of two IRIS grid data transfer methods is made to understand each methods’ advantages and disadvantages. This study can be used as a reference for the development of future SKA’s data transfer operations.
How is China’s energy security affected by exogenous shocks? Evidence of China–US trade dispute and COVID-19 pandemic
Authors: Liu Shi Qiang , Huang Xin , Li Xiangong , Masoud Mahmoud , Chung Sai-Ho , Yin Yong 
Published: July 2021

AbstractThe trade dispute between China and the United States (US) since 2018 and the global COVID-19 pandemic since 2020 has significantly impacted China’s economic development. As China’s energy sources heavily depend on imports, its economic viability is becoming more and more risky. This study proposes a novel conceptual framework, involving macroeconomic, industrial and geopolitical factors, to evaluate China’s energy security as a major player in the trade dispute. This study also provides a comprehensive strategy for policymakers to make better decisions on reforming renewable energy patterns to guarantee energy security and achieve geopolitical advantages. The PESTEL (political, economic, social, technical, environmental and legislative) and SWOT (strengths, weaknesses, opportunities and threats) analytical methods are applied to evaluate the factors and attributes of China’s energy development and energy security in the current background. The China-US bipartite game reciprocity model and the QSPM (Quantitative Strategic Planning Matrix) analysis are conducted to assess which energy security strategy and policy are more suitable to deal with China-US trade dispute. To enhance energy security, China should diversify its energy supply chain, develop new sources of energy supply, advance the shale gas technology, popularise cleaner power-generation plants, increase nuclear-energy safety, introduce energy-conservation measures, promote alternative-energy vehicles, engage in international energy diplomacy, and rebuild international energy transaction and settlement systems.
Design and performance quantification of VTOL systems for a canard aircraft
Authors: Pedro S. , Tomás D. , Lobo do Vale J. , Suleman A. 
Published: July 2021

AbstractThe design and performance quantification of four Vertical Take-Off and Landing (VTOL) architectures for a canard-type aircraft configuration are presented. The aero-structural sizing of the canard configuration and the sizing procedure for the proposed VTOL configurations are described and discussed. The proposed VTOL architectures are based on a range of rotor distances to the centre of gravity, quad- and tri-rotor configurations, retractable front rotors and tilt rear rotors. The aerodynamic performance, total installed power and VTOL system mass were modelled and experimentally validated. The results show that a fully exposed VTOL system penalises the Lift-over-Drag (L/D) ratio significantly relative to a clean configuration. The VTOL system mass can be reduced by up to 32% by using a tilt tri-rotor configuration when compared with an equidistant quad-rotor+pusher configuration. The fraction of installed power usable for forward flight can be increased by up to 80% with a tilt configuration. For the proposed mission, the range can be significantly increased if a tri-rotor tilt configuration is adopted in place of an equidistant quad-rotor+pusher configuration.
Effects of working memory on L2 linguistic knowledge and L2 listening comprehension
Authors: Satori Miki 
Published: July 2021

AbstractThis paper examined the relationship between working memory (WM) and L2 linguistic knowledge as well as L2 listening comprehension with 150 Japanese EFL learners. The study also investigated the extent to which these relationships vary across L2 proficiency levels. The results in the study were as follows: (a) WM capacity was more strongly associated with L2 listening comprehension, L2 perceptual processing, and L2 syntactic parsing processing in the lower-proficiency group than in the higher-proficiency group; (b) L1 WM capacity still accounted for the unique variance in L2 listening comprehension after adjusting for the L2 language-related variables in the lower-proficiency group. The results suggest that the relationship between WM capacity and L2 listening comprehension may be mediated by L2 proficiency and depend on the domain-general processing efficiency reflecting central executive attention when the listening comprehension task requires conscious attention for less proficient listeners. The findings provide suggestive evidence for variation in the role of WM in L2 listening comprehension across proficiency levels and the significant role of L1 WM capacity in L2 listening comprehension as the general cognitive factor independent of L2 linguistic knowledge for L2 learners with limited linguistic knowledge.
ELICITED IMITATION AS A MEASURE OF L2 PROFICIENCY
Authors: Wu Shu-Ling , Tio Yee Pin , Ortega Lourdes 
Published: July 2021

AbstractElicited imitation (EI), a short-cut measure of global proficiency in second language (L2) research, requires participants to listen to sentences and repeat them as closely as possible. To support instrument sharing and assessment of L2 proficiency for longitudinal and crosslinguistic research, we created a parallel form of an EI task (EIT) for L2 English originally developed by the third author and colleagues and investigated the reliability and validity of the original and new forms. Eighty-two participants completed the two EITs, an oral narrative task, and a self-diagnostic survey. Both forms exhibited high reliability and good alignment with external criterion measures. Both distinguished well among four proficiency levels in the sample. Further, participants’ perception of EI difficulty aligned well with their EI scores. We suggest some improvements to boost forms equivalence and discuss new insights about the nature of EI as reconstructive, integrative, modality independent, and with indirect links to communicative abilities. Our study seeks to make this English EIT instrument widely useful to the L2 research community.