bluuebunny/crossref_metadata_2025_split huggingface dataset:
Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements
Authors: Nardean Stefano , Ferronato Massimiliano , Abushaikha Ahmad 
Published: July 2023

AbstractThis work proposes an original preconditioner that couples the Constrained Pressure Residual (CPR) method with block preconditioning for the efficient solution of the linearized systems of equations arising from fully implicit multiphase flow models. This preconditioner, denoted as Block CPR (BCPR), is specifically designed for Lagrange multipliers-based flow models, such as those generated by Mixed Hybrid Finite Element (MHFE) approximations. An original MHFE-based formulation of the two-phase flow model is taken as a reference for the development of the BCPR preconditioner, in which the set of system unknowns comprises both element and face pressures, in addition to the cell saturations, resulting in a $$3\times 3$$

3
×
3

block-structured Jacobian matrix with a $$2\times 2$$

2
×
2

inner pressure problem. The CPR method is one of the most established techniques for reservoir simulations, but most research focused on solutions for Two-Point Flux Approximation (TPFA)-based discretizations that do not readily extend to our problem formulation. Therefore, we designed a dedicated two-stage strategy, inspired by the CPR algorithm, where a block preconditioner is used for the pressure part with the aim at exploiting the inner $$2\times 2$$

2
×
2

structure. The proposed preconditioning framework is tested by an extensive experimentation, comprising both synthetic and realistic applications in Cartesian and non-Cartesian domains.
The Dark Side of Recruitment in Crowdsourcing: Ethics and Transparency in Micro-Task Marketplaces
Authors: Xie Haoyu , Maddalena Eddy , Qarout Rehab , Checco Alessandro 
Published: July 2023

AbstractMicro-task crowdsourcing marketplaces like Figure Eight (F8) connect a large pool of workers to employers through a single online platform, by aggregating multiple crowdsourcing platforms (channels) under a unique system. This paper investigates the F8 channels’ demographic distribution and reward schemes by analysing more than 53k crowdsourcing tasks over four years, collecting survey data and scraping marketplace metadata. We reveal an heterogeneous per-channel demographic distribution, and an opaque channel commission scheme, that varies over time and is not communicated to the employer when launching a task: workers often will receive a smaller payment than expected by the employer. In addition, the impact of channel commission schemes on the relationship between requesters and crowdworkers is explored. These observations uncover important issues on ethics, reliability and transparency of crowdsourced experiment when using this kind of marketplaces, especially for academic research.
Hurwitz–Ran spaces
Authors: Bianchi Andrea 
Published: July 2023

AbstractGiven a couple of subspaces $${\mathcal {Y}}\subset {\mathcal {X}}$$

Y
⊂
X

of the complex plane $${\mathbb {C}}$$
C
satisfying some mild conditions (a “nice couple”), and given a PMQ-pair $$({\mathcal {Q}},G)$$

(
Q
,
G
)

, consisting of a partially multiplicative quandle (PMQ) $${\mathcal {Q}}$$
Q
and a group G, we introduce a “Hurwitz–Ran” space $$\text {Hur}({\mathcal {X}},{\mathcal {Y}};{\mathcal {Q}},G)$$

Hur
(
X
,
Y
;
Q
,
G
)

, containing configurations of points in $${\mathcal {X}}\setminus {\mathcal {Y}}$$

X
\
Y

and in $${\mathcal {Y}}$$
Y
with monodromies in $${\mathcal {Q}}$$
Q
and in G, respectively. We further introduce a notion of morphisms between nice couples, and prove that Hurwitz–Ran spaces are functorial both in the nice couple and in the PMQ-group pair. For a locally finite PMQ $${\mathcal {Q}}$$
Q
we prove a homeomorphism between $$\text {Hur} ((0,1)^2;{\mathcal {Q}}_+)$$

Hur
(

(
0
,
1
)

2

;

Q
+

)

and the simplicial Hurwitz space $$\text {Hur} ^{\Delta }({\mathcal {Q}})$$

Hur
Δ

(
Q
)

, introduced in previous work of the author: this provides in particular $$\text {Hur} ((0,1)^2;{\mathcal {Q}}_+)$$

Hur
(

(
0
,
1
)

2

;

Q
+

)

with a cell stratification in the spirit of Fox–Neuwirth and Fuchs.
Response surface analysis of Zn–Ni coating parameters for corrosion resistance applications: a Plackett–Burman and Box–Behnken design of experiments approach
Authors: Nazha Hasan Mhd , Ammar Basem , Darwich Mhd Ayham , Assaad Maher 
Published: July 2023

AbstractThe development of cost-effective coatings with exceptional corrosion resistance is an ongoing challenge in the field of materials science. Among the promising coatings, zinc–nickel (Zn–Ni) coatings have shown great potential, especially when produced using economical electroplating technology. However, achieving optimal performance while minimizing coating thickness remains a complex task. In this study, the behavior of the responses was investigated according to the coating standards and levels, focusing on eight variables including temperature, time, cathodic current density, nickel concentration, substrate hardness, roughness, cathode–anode distance, and magnetic stirring speed. Four responses were investigated: coating thickness, roughness, microhardness, and corrosion rate with potentiodynamic polarization, using two design of experiments (DOE) methods: Plackett–Burman design (12 runs) and response surface methodology with Box–Behnken design (15 runs). The results show the degree of influence of each variable on the responses and their contribution to changing the responses. Additionally, response surfaces have been determined and it is shown that large response values can be achieved with small thicknesses. The morphological study using SEM, EDX, and XRD techniques revealed that the deposition conditions play an important role in the surface morphology. Some samples showed microcracks, while others had small grain size and were free of cracks and pores. Overall, this study provides new insights into the improvement of Zn–Ni coatings with exceptional corrosion resistance and cost-effectiveness.
Neurobehavioral Mechanisms of Comorbidity in Internalizing and Externalizing Psychopathology: An RDoC Multimethod Assessment
Authors: Pasion Rita , Macedo Inês , Paiva Tiago O. , Patrick Christopher J. , Krueger Robert F. , Barbosa Fernando 
Published: July 2023

AbstractThis study links different-modality indicators of RDoC constructs (self-reports, behavior, and error-related brain activity) to explore their association with internalizing and externalizing dimensions of psychopathology. Participants (N = 182; 54% female) completed a questionnaire assessing clinical problems along with self-report scales and EEG tasks mapping the following RDoC constructs: Performance Monitoring (Cognitive Systems), Inhibitory Control (Cognitive Systems), and Sustained Threat (Negative Valence Systems). Unidimensional factors containing self-reported, behavioral, and neurophysiological data were successfully extracted for each of the RDoC constructs by using a psychoneurometric approach. Subsequently, we found that RDoC-based psychoneurometric constructs of Performance Monitoring and Inhibitory Control appeared to reflect distinctive processing deviations associated with the internalizing spectrum, possibly unveiling comorbidity mechanisms across internalizing conditions. In turn, the RDoC-based psychoneurometric factor of Sustained Threat exhibited associations with both internalizing and externalizing dimensions, possibly reflecting a mechanism of comorbidity at the p-factor level and increasing the vulnerability to develop any form of psychopathology. These findings provide a new approach toward a multimethod assessment linking neurobehavioral indicators with self-reported measures and highlight that concrete RDoC constructs relate to mental health outcomes.
Towards a classification of charge-3 monopoles with symmetry
Authors: Braden H. W. , Disney-Hogg Linden 
Published: July 2023

AbstractWe classify all possible charge-3 monopole spectral curves with non-trivial automorphism group and within these identify those with elliptic quotients. By focussing on elliptic quotients the transcendental constraints for a monopole spectral curve become ones regarding periods of elliptic functions. We construct the Nahm data and new monopole spectral curves with $$D_6$$

D
6

and $$V_4$$

V
4

symmetry, the latter based on an integrable complexification of Euler’s equations, and for which energy density isosurfaces are plotted. Extensions of our approach to higher charge and hyperbolic monopoles are discussed.
Joint Node Selection and Power Allocation for Cooperative Positioning Based on Bidding Auction in VANET
Authors: Chen Geng , Cheng Lili , Kong Xiaoxian , Zeng Qingtian , Zhang Yu-Dong 
Published: July 2023

AbstractDue to buildings blocking GPS and Wi-Fi signals, traditional techniques can’t offer the user’s required positioning accuracy in resource-constrained underground parking, but the cooperation of agent nodes can provide the exact localization information to improve the positioning accuracy. However, some well-localized agents may not be willing to sacrifice additional power to improve the others’ positioning accuracy. To encourage cooperation among nodes and allocate transmission power reasonably, this paper proposes a bidding-auction-based cooperative localization (BACL) algorithm to improve the positioning accuracy of agent nodes by joint node selection incentive and power allocation strategy. Firstly, the contribution of channel parameters and prior localization information of agent nodes for positioning accuracy are quantified and an incentive mechanism of cooperative localization from an economic perspective is proposed. Secondly, a virtual currency incentive rule is developed to compensate agent nodes of cooperative localization reasonably due to the consumption of energy for transmitting their location information. Finally, the simulation results have shown that the proposed BACL algorithm has excellent performance in terms of localization accuracy in resource-constrained scenarios. Compared with the full-power cooperative localization (FPCL) and non-cooperative localization (NCL) algorithms, the proposed BACL algorithm improved the positioning accuracy by 10% and 65%, respectively. Meanwhile, compared with the FPCL algorithm, the proposed algorithm reduced resource consumption by 50%.
MR-guided LITT therapy in patients with primary irresectable glioblastoma: a prospective, controlled pilot study
Authors: Viozzi Ilaria , Overduin Christiaan G. , Rijpma Anne , Rovers Maroeska M. , Laan Mark ter 
Published: July 2023

Abstract
Purpose
Laser interstitial thermal therapy (LITT) is increasingly being used in the treatment of brain tumors, whereas high-quality evidence of its effectiveness is lacking. This pilot examined the feasibility of conducting a randomized controlled trial (RCT) in patients with irresectable newly diagnosed glioblastoma (nGBM), and generated data on technical feasibility and safety.

Methods
We included patients with irresectable nGBM with KPS ≥ 70 and feasible trajectories to ablate ≥ 70% of the tumor volume. Patients were initially randomized to receive either biopsy combined with LITT or biopsy alone, followed by chemoradiation (CRT). Randomization was stopped after 9 patients as the feasibility endpoint with respect to willingness to be randomized was met. Main endpoints were feasibility of performing an RCT, technical feasibility of LITT and safety. Follow-up was 3 months.

Results
A total of 15 patients were included, of which 10 patients received a biopsy followed by LITT and 5 patients a biopsy. Most patients were able to complete the follow-up procedures (93% clinical, 86% questionnaires, 78% MRI). Patients were planned within 3 weeks after consultation (median 12 days, range 8–16) and no delay was observed in referring patients for CRT (median 37 days, range 28–61). Two CD ≥ 3 complications occurred in the LITT arm and none in the biopsy arm.

Conclusion
An RCT to study the effectiveness of LITT in patients with an irresectable nGBM seems feasible with acceptable initial safety data. The findings from this pilot study helped to further refine the design of a larger full-scale multicenter RCT in the Netherlands.
Protocol and study identifier: The current study is registered at clinicaltrials.gov (EMITT pilot study, NTR: NCT04596930).

Graphical abstract
Stimulating inference-making in second grade children when reading and listening to narrative texts
Authors: van Zeijts Brechtje E. J. , Ganushchak Lesya Y. , de Koning Bjorn B. , Tabbers Huib K. 
Published: July 2023

AbstractInference-making is a central element of successful reading comprehension, yet provides a challenge for beginning readers. Text decoding takes up cognitive resources which prevents beginning readers from successful inference-making and compromises reading comprehension. Listening does not require any decoding and could therefore offer a less demanding context to practice inference-making. The present study examined whether stimulating inference-making in a listening context is more effective and less cognitively demanding for beginning readers than a reading context. In three experiments, Dutch second grade children read two narratives and listened to two narratives. Inference-making was stimulated by asking them inferential questions during reading or listening and we compared this to a no-questioning control condition. After each narrative, we measured cognitive load and comprehension. It was expected that inferential questioning would increase cognitive load and negatively affect reading comprehension, but positively affect listening comprehension. The results indeed showed that inferential questioning increased cognitive load, but did not lead to differences in performance on open-ended comprehension questions (Experiment 1 & 2). When measuring comprehension with a free recall protocol (Experiment 3), we found a negative effect on total recall in both the reading and listening conditions. Taken together, we found no support for the hypothesized interaction. This raises questions about the effectiveness of inferential questioning for reading and listening comprehension of beginning readers, and whether listening is a good modality for improving inference-making.
Who Blows the Whistle on Cartels? Finding the Leniency Applicant at the European Commission
Authors: Jiménez Juan Luis , Ojeda-Cabral Manuel , Ordóñez-de-Haro José Manuel 
Published: July 2023

AbstractCompetition authorities need a better understanding of the determinants of cartel self-reporting in order to increase cartel members’ incentives to apply for the benefit from leniency programs and thus improve the effectiveness of anti-cartel policy. Using information on 683 firm groups that participated in 132 cartels that were penalized by the European Commission between 1996 and 2020, we estimate which type of cartel member is most likely to be the first or subsequent leniency applicant. Our results emphasize the role of firm groups as a driver to self-report: The higher is the proportion of firms that are part of the same group (relative to the size of the cartel), the greater is the likelihood of applying for leniency. Fines also incentivize cartelists—with the exceptions of ringleaders—to self-report. While ringleaders or instigators tend to avoid being first confessors, they appear to be more likely to self-report than are others only after someone else has revealed the cartel. Finally, cartels that do bid-rigging are less likely to be uncovered by a leniency application.
Third-Sector Organizations in Area-Based Initiatives: Instruments for Public Policies or Partners in Co-Production?
Authors: Trætteberg Håkon Solbu , Lindén Tord Skogedal , Eimhjellen Ivar 
Published: July 2023

AbstractArea-based initiatives are central government strategies for community development in particularly deprived urban areas. A core strategy in ABIs is to involve third-sector organizations through co-production. In these areas, the organized civil society is weak, and the public sector has special interests and a willingness to use resources. We ask: if and how can co-production be developed in areas with such power assymetries? Through documents and qualitative interviews, we examined seven ABIs in Norway. We find that managerial ability and coordination, autonomy of action, and, especially, the possession of resources are important dimensions for understanding the development of a co-productive relationship. In the ABIs, we find considerable interdependence between TSO and municipalities as both actors lack resources needed to fulfill their respective goals. This interdependence facilitated co-production.
Burnout Among Hospitalists During the Early COVID-19 Pandemic: a National Mixed Methods Survey Study
Authors: Becker Anne , Sullivan Erin E. , Leykum Luci K. , Brown Roger , Linzer Mark , Poplau Sara , Sinsky Christine 
Published: July 2023

Abstract
Background
Hospitalist physician stress was exacerbated by the pandemic, yet there have been no large scale studies of contributing factors.

Objective
Assess remediable components of burnout in hospitalists.

Participants, Study Design and Measures
In this Coping with COVID study, we focused on assessment of stress factors among 1022 hospital-based clinicians surveyed between April to December 2020. We assessed variables previously associated with burnout (anxiety/depression due to COVID-19, work overload, fear of exposure or transmission, mission/purpose, childcare stress and feeling valued) on 4 point Likert scales, with results dichotomized with the top two categories meaning “present”; burnout was assessed with the Mini Z single item measure (top 3 choices = burnout). Quantitative analyses utilized multilevel logistic regression; qualitative analysis used inductive and deductive methods. These data informed a conceptual model.

Key Results
Of 58,408 HCWs (median response rate 32%), 1022 were hospital-based clinicians (906 (89%) physicians; 449 (44%) female; 469 (46%) White); 46% of these hospital-based clinicians reported burnout. Work overload was associated with almost 5 times the odds of burnout (OR 4.9, 95% CIs 3.67, 6.85, p < 0.001), and those with anxiety or depression had 4 times the odds of burnout (OR 4.2, CIs 3.21, 7.12, p < 0.001), while those feeling valued had half the burnout odds (OR 0.43, CIs 0.31, 0.61, p < 0.001). Regression models estimated 42% of burnout variance was explained by these variables. In open-ended comments, leadership support was helpful, with “great leadership” represented by transparency, regular updates, and opportunities to ask questions.

Conclusions
In this national study of hospital medicine, 2 variables were significantly related to burnout (workload and mental health) while two variables (feeling valued and leadership) were likely mitigators. These variables merit further investigation as means of reducing burnout in hospital medicine.
Long-term low-dose tolvaptan efficacy and safety in SIADH
Authors: Bondanelli Marta , Aliberti Ludovica , Gagliardi Irene , Ambrosio Maria Rosaria , Zatelli Maria Chiara 
Published: July 2023

Abstract
Purpose
Tolvaptan, a selective vasopressin V2-receptor antagonist, is approved for the treatment of SIADH-related hyponatremia, but its use is limited. The starting dose is usually 15 mg/day, but recent clinical experience suggests a lower starting dose (<15 mg/day) to reduce the risk of sodium overcorrection. However, long-term low-dose efficacy and safety has not been explored, so far. Aim of our study is to characterize safety and efficacy of long-term SIADH treatment with low-dose Tolvaptan.

Methods
We retrospectively evaluated 11 patients receiving low-dose Tolvaptan (<15 mg/day) for chronic SIADH due to neurological, idiopathic and neoplastic causes. Plasma sodium levels were measured before and 1, 3, 5, 15 and 30 days after starting Tolvaptan and then at 3-month intervals. Anamnestic and clinical data were collected.

Results
Mean time spanned 27.3 ± 29.8 months (range 6 months-7 years). Mean plasma sodium levels were within normal range 1, 3 and 6 months after starting Tolvaptan as well as after 1, 2, 3, 5 and 7 years of therapy. Neither osmotic demyelination syndrome nor overcorrection were observed. Plasma sodium levels normalization was associated with beneficial clinical effects. Neurological patients obtained seizures disappearance, improvement in neurological picture and good recovery from rehabilitation. Neoplastic patients were able to start chemotherapy and improved their general condition. Patients did not show hypernatremia during long-term follow-up and reported mild thirst and pollakiuria.

Conclusions
The present study shows that long-term low-dose Tolvaptan is safe and effective in SIADH treatment. No cases of overcorrection were documented and mild side effects were reported.
Sphingosine 1-Phosphate Lyase in the Developing and Injured Nervous System: a Dichotomy?
Authors: Xiao Junhua 
Published: July 2023

AbstractSphingosine 1-phosphate lyase (SPL) is the terminal enzyme that controls the degradation of the bioactive lipid sphingosine 1-phosphate (S1P) within an interconnected sphingolipid metabolic network. The unique metabolic position of SPL in maintaining S1P levels implies SPL could be an emerging new therapeutic target. Over the past decade, an evolving effort has been made to unravel the role of SPL in the nervous system; however, to what extent SPL influences the developing and mature nervous system through altering S1P biosynthesis remains opaque. While congenital SPL deletion is associated with deficits in the developing nervous system, the loss of SPL activity in adults appears to be neuroprotective in acquired neurological disorders. The controversial findings concerning SPL’s role in the nervous system are further constrained by the current genetic and pharmacological tools. This review attempts to focus on the multi-faceted nature of SPL function in the mammalian nervous systems, implying its dichotomy in the developing and adult central nervous system (CNS). This article also highlights SPL is emerging as a therapeutic molecule that can be selectively targeted to modulate S1P for the treatment of acquired neurodegenerative diseases, raising new questions for future investigation. The development of cell-specific inducible conditional SPL mutants and selective pharmacological tools will allow the precise understanding of SPL’s function in the adult CNS, which will aid the development of a new strategy focusing on S1P-based therapies for neuroprotection.
Understanding decentralized autonomous organizations from the inside
Authors: Augustin Nils , Eckhardt Andreas , de Jong Alexander Willem 
Published: July 2023

AbstractBlockchain technology is argued to drastically change the way we operate within an organizational context, with decentralized autonomous organizations (DAOs) representing a first manifestation of this ongoing trend. DAOs are characterized by an online community that builds the organization’s backbone by providing knowledge and human resources in a transparent, virtual manner, as well as the use of blockchain technology to coordinate their endeavor. Nevertheless, current research highlights the conceptual ambiguity of this emerging phenomenon, leading to potential issues for practitioners and researchers. To provide further clarity on the phenomenon, we study DAOs through the perspective of their members with a two-staged approach by combining elements of a netnographic approach and structural topic modeling. Our findings highlight several contextual features surrounding DAOs, such as their members’ underlying beliefs and views, helping to embed DAOs in existing research streams.