bluuebunny/crossref_metadata_2025_split huggingface dataset:
Posterior vault distraction technique: how I do it
Authors: Salokorpi Niina , Satanin Leonid , Teterin Ivan , Sinikumpu Juha-Jaakko , Serlo Willy 
Published: May 2021

AbstractPosterior cranial vault distraction is an effective technique when a significant increase in the intracranial volume is required in patients with craniosynostoses. This technique has been proven to be safe and time saving and usually is associated with low perioperative morbidity as well as low intraoperative bleeding. Herein a technique is presented starting from the preoperative planning, describing the surgical steps of the operation and the postoperative distraction protocol used by the authors. The authors present important tips and tricks aiming to minimise complications and undesired events.
Villoglandular adenocarcinoma of the uterine cervix: a systematic review and meta-analysis
Authors: Dietl Anna K. , Beckmann Matthias W. , Aumann Konrad 
Published: May 2021

Abstract
Purpose
Villoglandular adenocarcinoma (VGA) of the uterine cervix has been classified as a rare subtype of cervical adenocarcinoma with good prognosis. A conservative surgical approach is considered feasible. The main risk factor is the presence of other histologic types of cancer.
In this largest systematic review to date, we assess oncological outcomes associated with conservative therapy compared to those associated with invasive management in the treatment of stage Ia and Ib1 VGA.

Methods
Case series and case reports identified by searching the PubMed database were eligible for inclusion in this review (stage Ia–Ib1).

Results
A total of 271 patients were included in our literature review. 54 (20%) patients were treated by “conservative management” (conization, simple hysterectomy, and trachelectomy) and 217 (80%) by “invasive management” (radical hysterectomy ± radiation, hysterectomy, and radiation). Recurrences of disease (RODs) were found in the conservative group in two (4%) cases and in the invasive group in nine (4%) cases. There was no significant difference in disease-free survival (DFS) according to conservative or invasive treatment (p = 0.75). The histology of VGA may be complex with underlying usual adenocarcinoma (UAC) combined with VGA.

Conclusion
The excellent prognosis of pure VGA and the young age of the patients may justify the management of this tumor using a less radical procedure. The histological diagnosis of VGA is a challenge, and pretreatment should not be based solely on a simple punch biopsy but rather a conization with wide tumor-free margins.
On the automation-supported derivation of domain-specific UML profiles considering static semantics
Authors: Kraas Alexander 
Published: May 2021

AbstractIn the light of standardization, the model-driven engineering (MDE) is becoming increasingly important for the development of DSLs, in addition to traditional approaches based on grammar formalisms. Metamodels define the abstract syntax and static semantics of a DSL and can be created by using the language concepts of the Meta Object Facility (MOF) or by defining a UML profile.Both metamodels and UML profiles are often provided for standardized DSLs, and the mappings of metamodels to UML profiles are usually specified informally in natural language, which also applies for the static semantics of metamodels and/or UML profiles, which has the disadvantage that ambiguities can occur, and that the static semantics must be manually translated into a machine-processable language.To address these weaknesses, we propose a new automated approach for deriving a UML profile from the metamodel of a DSL. One novelty is that subsetting or redefining metaclass attributes are mapped to stereotype attributes whose values are computed at runtime via automatically created OCL expressions. The automatic transfer of the static semantics of a DSL to a UML profile is a further contribution of our approach. Our DSL Metamodeling and Derivation Toolchain (DSL-MeDeTo) implements all aspects of our proposed approach in Eclipse. This enabled us to successfully apply our approach to the two DSLs Test Description Language (TDL) and Specification and Description Language (SDL).
DMAEMA-grafted cellulose as an imprinted adsorbent for the selective adsorption of 4-nitrophenol
Authors: Lang Daning , Shi Ming , Xu Xia , He Shixue , Yang Chao , Wang Lu , Wu Ronglan , Wang Wei , Wang Jide 
Published: May 2021

Abstract
4-Nitrophenol is a highly toxic environmental pollutant. It is a challenge to selectively remove it from a mixture of various pollutants. Herein, we report a study on the selective adsorption of 4-nitrophenol by using molecularly imprinted polymers (MIPs). The imprinted polymer was synthesized using cellulose as a framework, onto which, the complex of the imprinting molecule (i.e., 4-nitrophenol) and a candidate material [namely, 2-(dimethylamino)ethyl methacrylate. DMAEMA] was grafted. The obtained MIP showed an excellent adsorption capacity with good selectivity. Also, the adsorption of 4-nitrophenol by the obtained MIP was fast and the adsorbent exhibited good recyclability. The thermodynamics and kinetics of the adsorption process of 4-nitrophenol by MIP was thoroughly studied, where an otherwise-equivalent non-imprinted polymer was used as a control in the experiments. The selectivity of the MIP adsorbent for 4-niteophenol was evaluated by two types of experiments: (1) adsorption experiments in single-component adsorbate systems (containing 4-nitrophenol, 3-nitrophenol, catechol, or hydroquinone), and (2) competitive adsorption experiments in binary adsorbate systems (containing 4-nitrophenol plus either 3-nitrophenol, catechol or hydroquinone). The selectivity coefficient for 4-nitrophenols was twice of those of other phenols (that were all around 2), indicative of the extent of the affinity of MIPs to these phenolic compounds. The recyclability of the adsorbent was evaluated for 5 adsorption–desorption cycles, where the adsorption capacity of the last cycle remained over 90.2% of that of the first cycle.

Graphic Abstract
Fusing strategic risk and futures methods to inform long-term strategic planning: case of water utilities
Authors: Luís Ana , Garnett Kenisha , Pollard Simon J. T. , Lickorish Fiona , Jude Simon , Leinster Paul 
Published: May 2021

AbstractRisks and futures methods have complementary strengths as tools for managing strategic decisions under uncertainty. When combined, these tools increase organisational competency to evaluate and manage long-term risks, improving the flexibility and agility of the organisation to deal with gross uncertainties. Here, we set out a framework to guide the assessment of strategic risks for long-term business planning, based on its application at Portugal’s largest water utility, Empresa Portuguesa das Águas Livres. Our approach extends strategic risk assessment by incorporating scenario planning—a futures approach used to help the utility move beyond single point forecast of risks to focus on critical dimensions of uncertainty that are fundamental to the resilience of corporate objectives and their vulnerability to external pressures. We demonstrate how we combine two complementary approaches—risk and futures—and use them to assess (i) how a set of baseline strategic risks for a water utility evolves under alternative futures, (ii) the aggregate corporate-level risk exposure, and (iii) the process and responses needed to manage multiple, interdependent strategic risks. The framework offers a corporate approach to evolving strategic risks and improves a utility’s (i) knowledge of uncertainties, (ii) ability to assess the impacts of external developments over long time horizons and the consequences of actions and (iii) degree of flexibility to adapt to possible future challenges. The framework supports risk managers in their long-term strategic planning, through the appraisal and management of multiple, interdependent long-term strategic risks and can be replicated in other organisational contexts to bridge operational and corporate perspectives of enterprise risk.
The Relationship Between Unlearning and Innovation Ambidexterity with the Performance of New Product Development Teams
Authors: Açıkgöz Atif , Demirkan Irem , Latham Gary P. , Kuzey Cemil 
Published: May 2021

AbstractPrevious research has suggested that unlearning is not linked to performance improvements in a team setting. Further, unlearning may have deleterious effects on performance outcomes because when it happens, teams are likely to lose the way they perform tasks and the reasons for their operational existence. In contrast, this study predicts that teams can conduct exploitative and exploratory activities in a balanced manner predicated on unlearning practices to improve new product development (NPD) performance. We hypothesized that while unlearning allows NPD teams to balance exploitative and exploratory learning activities, simultaneous yet balanced exploitation and exploration at high levels, namely innovation ambidexterity, links unlearning practices to NPD performance. This occurs by providing task-relevant knowledge for the replacement of outdated routines and beliefs during NPD processes. Data were collected from 198 NPD teams (i.e., 464 individual participants). The examination of ordinary least squares regression-based path analyses revealed that innovation ambidexterity mediates the relationship of unlearning with NPD performance, operationalized as product development speed, cost, and product success. Overall, this study shows that the unlearning-performance relationship occurs through simultaneous exploitative and exploratory learning activities in a balanced manner.
Machine learning to determine the main factors affecting creep rates in laser powder bed fusion
Authors: Sanchez Salomé , Rengasamy Divish , Hyde Christopher J. , Figueredo Grazziela P. , Rothwell Benjamin 
Published: May 2021

AbstractThere is an increasing need for the use of additive manufacturing (AM) to produce improved critical application engineering components. However, the materials manufactured using AM perform well below their traditionally manufactured counterparts, particularly for creep and fatigue. Research has shown that this difference in performance is due to the complex relationships between AM process parameters which affect the material microstructure and consequently the mechanical performance as well. Therefore, it is necessary to understand the impact of different AM build parameters on the mechanical performance of parts. Machine learning (ML) models are able to find hidden relationships in data using iterative statistical analyses and have the potential to develop process–structure–property–performance relationships for manufacturing processes, including AM. The aim of this work is to apply ML techniques to materials testing data in order to understand the effect of AM process parameters on the creep rate of additively built nickel-based superalloy and to predict the creep rate of the material from these process parameters. In this work, the predictive capabilities of ML and its ability to develop process–structure–property relationships are applied to the creep properties of laser powder bed fused alloy 718. The input data for the ML model included the Laser Powder Bed Fusion (LPBF) build parameters used—build orientation, scan strategy and number of lasers—and geometrical material descriptors which were extracted from optical microscope porosity images using image analysis techniques. The ML model was used to predict the minimum creep rate of the Laser Powder Bed Fused alloy 718 samples, which had been creep tested at $$650\,^\circ $$

650

∘

C and 600 MPa. The ML model was also used to identify the most relevant material descriptors affecting the minimum creep rate of the material (determined by using an ensemble feature importance framework). The creep rate was accurately predicted with a percentage error of $$1.40\%$$

1.40
%

in the best case. The most important material descriptors were found to be part density, number of pores, build orientation and scan strategy. These findings show the applicability and potential of using ML to determine and predict the mechanical properties of materials fabricated via different manufacturing processes, and to find process–structure–property relationships in AM. This increases the readiness of AM for use in critical applications.
Archival research on integrated reporting: a systematic review of main drivers and the impact of integrated reporting on firm value
Authors: Velte Patrick 
Published: May 2021

AbstractIntegrated reporting (IR) represents an innovative approach to business reporting especially by Public Interest Entities (PIEs). In addition to financial capital, the integrated report includes material information about manufactured, intellectual, human, social and relational, and natural capitals. Although there has been a steady growth in empirical IR research, there is—as yet—no literature review on the business case for IR. Thus, the purpose of this study is to convey a detailed understanding of the governance-, (non) financial performance-, and reporting-related determinants of IR and its contribution to firm value in line with the business case argument. To do so, we selected 85 quantitative peer-reviewed archival studies on that topic. We have then differentiated said studies between those that focus on IR adoption versus those that focus on IR quality, with a legitimacy- and stakeholder-theory-based framework. This differentiation is crucial, to stress the challenges of greenwashing policies and information overload. Here, in contrast to former literature reviews on IR, we provide new insights into this emerging research topic and concentrate on archival IR research. We are also interested in recent moderator- and mediator analysis in archival IR research since the business case argument for IR may require a specific environment, in addition to the main variables we have included. We likewise give a detailed overview of included variables and proxies and compare their main statistical effects. Our literature review demonstrates that (1) board composition and (2) stakeholder pressure positively influence IR quality; whereas (3) (non) financial performance leads to increased IR adoption and quality. We also find that both IR adoption and IR quality are linked with positive consequences on firm valuation, as they lead to higher total performance measures. Last but not least, this analysis includes useful recommendations for future IR research.
Radical epistemology, structural explanations, and epistemic weaponry
Authors: Pettigrew Richard 
Published: May 2021

AbstractWhen is a belief justified? There are three families of arguments we typically use to support different accounts of justification: (1) arguments from our intuitive responses to vignettes that involve the concept; (2) arguments from the theoretical role we would like the concept to play in epistemology; and (3) arguments from the practical, moral, and political uses to which we wish to put the concept. I focus particularly on the third sort (3), and specifically on arguments of this sort offered by Clayton Littlejohn in Justification and the Truth-Connection (Oxford University Press, Oxford, 2012) and Amia Srinivasan in ‘Radical Externalism’ (Philos Rev 129(3): 395–431, 2018) in favour of externalism. I counter Srinivasan’s argument in two ways: (a) first, I show that the internalist’s concept of justification might figure just as easily in the sorts of structural explanation Srinivasan thinks our political goals require us to give; and (b) I argue that the internalist’s concept is needed for a particular political task, namely, to help us build more effective defences against what I call epistemic weapons. I conclude that we should adopt an Alstonian pluralism about the concept of justification.
Modern Monetary Theory: A Solid Theoretical Foundation of Economic Policy?
Authors: Prinz Aloys L. , Beck Hanno 
Published: May 2021

AbstractThis paper shows that so-called modern monetary theory (MMT) lacks a sound economic foundation for its far-reaching policy recommendations. This paper’s main contribution to the literature concerns the theoretical foundation of MMT. A simple macroeconomic model shows that MMT is indistinguishable from the Keynesian cross model, as well as a neoclassical macroeconomic model, even when taking account of money in the sense of MMT. This result is in stark contrast to the claims of MMT proponents. Accordingly, it is asserted that MMT is a fundamentally new theory of money and monetary economics. However, MMT is admittedly based on the functional finance concept of the 1940s and money is modelled as an accounting identity. In addition, the fundamental connection between government expenditures for goods and services and the steady state equilibrium value of the national income, the so-called fiscal stance, is a well-known result that is not only consistent with MMT. The interpretation of the fiscal stance, in combination with the accounting identity for money, is a major issue because an equilibrium condition should have a certain causal direction of effects. Based on this reading of the equilibrium condition, policy recommendations encompass the fiscal dominance of monetary policy via monetization of public debt, a job guarantee by the state, along with a so-called Green New Deal. According to the results of this paper, these policy recommendations cannot be justified with MMT.
Association between depression and sleep quality in patients with systemic lupus erythematosus: a systematic review and meta-analysis
Authors: Yin Rulan , Li Lin , Xu Lan , Sui Wenjie , Niu Mei’e , Xu Rong , Srirat Chomphoonut 
Published: May 2021

Abstract
Background
Currently, there is no consistent understanding of the relationship between depression and sleep quality in patients with systemic lupus erythematosus (SLE). This study aimed to explore the correlation between depression and sleep quality in SLE patients.

Methods
Five English (PubMed, Web of Science, EMBASE, Cochrane Library, and CINAHL) databases were systematically searched from inception to January 12, 2021. Two authors independently screened publications and extracted data according to set inclusion and exclusion criteria. Statistical analyses were performed with STATA 16.0. Data were pooled using a random-effects model.

Results
A total of 9 identified studies matched the inclusion criteria, reporting on 514 patients with SLE in the analysis. A moderate correlation of depression with sleep quality was found (pooled r = 0.580 [0.473, 0.670]). Compared to good sleepers, patients with SLE and poor sleep quality had higher levels of depression (standardized mean difference =  − 1.28 [− 1.87, − 0.69]). Depression was associated with subjective sleep quality (r = 0.332 [0.009, 0.592]), sleep latency (r = 0.412 [0.101, 0.649]), sleep disturbances (r = 0.405 [0.094, 0.645]), daytime dysfunction (r = 0.503 [0.214, 0.711]), the four dimensions of Pittsburgh Sleep Quality Index (PSQI), while no significant correlation was found in the other three PSQI dimensions.

Conclusion
Depression had a moderate correlation with sleep quality in patients with SLE. Patients with poor sleep quality tended to have higher level of depression than that of good sleepers. Awareness of the correlation may help rheumatology physicians and nurses to assess and prevent depression and improve sleep quality in patients with SLE.
Regulation of TDP-43 phosphorylation in aging and disease
Authors: Eck Randall J. , Kraemer Brian C. , Liachko Nicole F. 
Published: May 2021

AbstractInsoluble inclusions of phosphorylated TDP-43 occur in disease-affected neurons of most patients with amyotrophic lateral sclerosis (ALS) and about half of patients with frontotemporal lobar degeneration (FTLD-TDP). Phosphorylated TDP-43 potentiates a number of neurotoxic effects including reduced liquid–liquid phase separation dynamicity, changes in splicing, cytoplasmic mislocalization, and aggregation. Accumulating evidence suggests a balance of kinase and phosphatase activities control TDP-43 phosphorylation. Dysregulation of these processes may lead to an increase in phosphorylated TDP-43, ultimately contributing to neurotoxicity and neurodegeneration in disease. Here we summarize the evolving understanding of major regulators of TDP-43 phosphorylation as well as downstream consequences of their activities. Interventions restoring kinase and phosphatase balance may be a generalizable therapeutic strategy for all TDP-43 proteinopathies including ALS and FTLD-TDP.
Impact of Thermal Oxidation on Morphological, Structural and Magnetic Properties of Fe-Ni Wire-Like Nanochains
Authors: Krajewski Marcin , Tokarczyk Mateusz , Lewińska Sabina , Bochenek Kamil , Ślawska-Waniewska Anna 
Published: May 2021

Abstract
This work presents the evolution of morphological, structural and magnetic properties of amorphous Fe-Ni wire-like nanochains caused by thermal oxidation. The initial Fe1−x
Ni
x
samples (x = 0.75; 0.50; 0.25) were prepared through the magnetic-field-induced synthesis, and then they were heated in dry air at 400 °C and 500 °C. These treatments led to two competing simultaneous processes occurring in the investigated samples, i.e., (i) a conversion of amorphous material into crystalline material, and (ii) their oxidation. Both of them strictly affected the morphological and structural properties of the Fe-Ni nanochains which, in turn, were associated with the amount of iron in material. It was found that the Fe0.75Ni0.25 and Fe0.50Ni0.50 nanochains were covered during thermal treatment by the nanoparticle oxides. This coverage did not constitute a good barrier against oxidation, and these samples became more oxidized than the Fe0.25Ni0.75 sample which was covered by oxide nanosheets and contained additional Ni3B phase. The specific morphological evolutions of the Fe-Ni nanochains also influenced their saturation magnetizations, whereas their coercivities did not vary significantly. The obtained results constitute an important source of information for future application of the thermally treated Fe-Ni nanochains which could be applied in the energy storage devices or catalysis.
Projective Anthropomorphism as a Dialogue with Ourselves
Authors: Jones Raya A. 
Published: May 2021

AbstractThis paper introduces an original concept (projective anthropomorphism) towards exploring a psychological dimension that is irreducible to the forms of anthropomorphism investigated in both cognitive science and social robotics. Projective anthropomorphism is an unconscious bias towards anticipating humanlike characteristics in robots. An overview of the variety of ways in which projection has been conceptualised in psychology and psychoanalysis is provided before discussing implications for theorising projective anthropomorphism. The proposed concept alludes to the projection of existential anxieties and desires onto myths, legends, linguistic tropes, and science-fiction motifs of humanoid automata. Such motifs and their associated narratives populate contemporary popular culture, and feed into social representations of robots. The importance of considering projective anthropomorphism lies in the extent to which its phenomena channel people’s expectations and attitudes towards technological artefacts, as well as steering technological possibilities.