bluuebunny/crossref_metadata_2025_split huggingface dataset:
A service mesh approach to integrate processing patterns into microservices applications
Authors: Nicolas-Plata Antonio , Gonzalez-Compean Jose Luis , Sosa-Sosa Victor Jesus 
Published: March 2024

AbstractCloud is the new enabler of data processing, archiving and analyzing, wherein offered services are built with flexible and low-coupling schemes following a microservice architecture, which is commonly managed by service mesh managers. Microservice architecture allows designers to build microservice systems based on design patterns. However, current service mesh managers are based only on pipeline patterns and delegate the construction of other patterns to virtual container managers. This limitation prevents designers from defining new patterns that can provide microservice systems with different features. This paper presents a new approach for constructing microservices systems that integrate processing patterns following a service mesh strategy. This approach will enable designers to create processing patterns not considered in current service meshes and to build designs based on the combination of patterns. The approach proposes the integration of components for implicit handling of processing patterns; this means that service mesh core tasks such as discovery process, microservice coupling and workload management become transparent, eliminating manager or end-user intervention. Encouraging results were obtained, in terms of performance and execution flexibility, in a case study, where a set of existing applications collaborating in a traditional workflow was converted into a microservice application integrating processing patterns (parallel and distributed) generated following this new approach.
The obligation to obey the law: exploring National Differences
Authors: van Rooij Benjamin , Fine Adam , Shalvi Shaul , Feldman Yuval , Scheper Eline , Yunmei Wu , Leib Margarita , Cheng Qian , Wanhong Zhang 
Published: March 2024

AbstractPeople vary in the extent to which they generally feel obligated to obey the law. The Obligation to Obey the Law (OOL) plays a major role in how people respond to legal rules and whether they comply or violate such rules. Most existing research on OOL has been non-comparative. The present paper explores national differences in OOL by analyzing data from a survey conducted among a convenience sample (n = 716) of law students in the Netherlands, the US, Israel, and China. In contrast to what existing research on procedural justice and OOL would lead us to expect, the data do not reveal significant differences in OOL across markedly different national populations. It explores why no such differences have been found and what the implications of these findings are for our understanding of OOL and compliance more broadly.
Coalition Stability in International Environmental Matching Agreements
Authors: Süring Charlotte , Weikard Hans-Peter 
Published: March 2024

AbstractThis study presents empirically calibrated simulations of three different variants of environmental matching agreements aimed at reducing global greenhouse gas emissions. We determine whether matching agreements can produce larger stable coalitions and increase abatement contributions and payoffs as compared to standard agreements. The matching agreements we analyze feature uniform matching rates by which coalition members match the unconditional contributions of (i) the other coalition members, (ii) all other players, or (iii) only non-members, while non-members do not commit to any matching and maximize their individual payoffs. The simulation considers twelve asymmetric world regions with linear abatement benefits and quadratic costs, calibrated based on the STACO 3 model, and uses emissions data from the shared socioeconomic pathways database. We find that the first variant of the matching game fails to produce any stable coalitions and thus performs worse than the standard agreement that produces a stable two-player coalition. The second variant produces a stable grand coalition and significantly increases the abatement and payoff levels beyond the non-cooperative Nash baseline. Partial coalitions are unstable in this game. The third variant produces a two-player coalition similar to the standard coalition formation game, but with different members and higher abatement and payoff levels due to the matching mechanism.
Continuation of Pediatric Care after Transfer to Adult Care Among Autistic Youth Overlap of Pediatric and Adult Care
Authors: Sirrianni Joseph , Hanks Christopher , Rust Steve , Hart Laura C. 
Published: March 2024

AbstractThe transition from pediatric to adult health care is a vulnerable time period for autistic adolescents and young adults (AYA) and for some autistic AYA may include a period of receiving care in both the pediatric and adult health systems. We sought to assess the proportion of autistic AYA who continued to use pediatric health services after their first adult primary care appointment and to identify factors associated with continued pediatric contact. We analyzed electronic medical record (EMR) data from a cohort of autistic AYA seen in a primary-care-based program for autistic people. Using logistic and linear regression, we assessed the relationship between eight patient characteristics and (1) the odds of a patient having ANY pediatric visits after their first adult appointment and (2) the number of pediatric visits among those with at least one pediatric visit. The cohort included 230 autistic AYA, who were mostly white (68%), mostly male (82%), with a mean age of 19.4 years at the time of their last pediatric visit before entering adult care. The majority (n = 149; 65%) had pediatric contact after the first adult visit. Younger age at the time of the first adult visit and more pediatric visits prior to the first adult visit were associated with continued pediatric contact. In this cohort of autistic AYA, most patients had contact with the pediatric system after their first adult primary care appointment.
Obstetric and maternal outcomes of IVF and oocyte donation pregnancies among women ages 40–45—a large cohort study
Authors: Rahav-Koren Roni , Shalev-Ram Hila , Haikin-Herzberger Einat , Levi Mattan , Wiser Amir , Miller Netanella 
Published: March 2024

Abstract
Purpose
To analyze the perinatal and maternal outcomes of women ranging in age from 40 to 45 years who gave birth after in vitro fertilization or oocyte donation, compared to spontaneous conception.

Methods
This retrospective cohort study used electronic data from a national healthcare service from 2000 through 2019. Three groups were compared: spontaneous pregnancy (SC), in vitro fertilization (IVF) utilizing autologous oocytes, and pregnancies resulting from oocyte donation (OD). The primary study outcomes were preterm labor (PTL) before 37 weeks of gestation, and infants classified as small for gestational age (SGA).

Results
The cohort included 26,379 SC, 2237 IVF pregnancies, and 300 OD pregnancies for women ages 40–45 years at delivery. Women with OD or IVF had a higher incidence of PTL < 37 weeks compared to women with SC (19.7% vs. 18% vs. 6.9%, p = 0.001), PTL < 34 (7% vs. 4.5% vs. 1.4%, p = 0.001), PTL < 32 (3.7 vs. 2.1 vs. 0.6, p = 0.001). A multivariable logistic regression for PTL < 37 weeks demonstrated that age (OR = 1.18) and hypertensive diseases (OR = 3.4) were statistically significant factors. The OD group had a lower rate of SGA compared to SC (1% vs. 4.3%, p = 0.001), while the IVF group had a higher rate of SGA compared to SC (9.1% vs. 4.3%, p = 0.001). Hypertensive diseases in pregnancy were significantly higher among the OD group and the IVF group compared to SP pregnancies (3.3% vs. 1%, p = 0.002; 2.3% vs. 1%, p = 0.001, respectively).

Conclusions
Women ages 40–45 undergoing IVF or OD have a greater risk of PTL, possibly due to higher rates of hypertensive disorders of pregnancy.
Sparse Resultant-Based Minimal Solvers in Computer Vision and Their Connection with the Action Matrix
Authors: Bhayani Snehal , Heikkilä Janne , Kukelova Zuzana 
Published: March 2024

AbstractMany computer vision applications require robust and efficient estimation of camera geometry from a minimal number of input data measurements. Minimal problems are usually formulated as complex systems of sparse polynomial equations. The systems usually are overdetermined and consist of polynomials with algebraically constrained coefficients. Most state-of-the-art efficient polynomial solvers are based on the action matrix method that has been automated and highly optimized in recent years. On the other hand, the alternative theory of sparse resultants based on the Newton polytopes has not been used so often for generating efficient solvers, primarily because the polytopes do not respect the constraints amongst the coefficients. In an attempt to tackle this challenge, here we propose a simple iterative scheme to test various subsets of the Newton polytopes and search for the most efficient solver. Moreover, we propose to use an extra polynomial with a special form to further improve the solver efficiency via Schur complement computation. We show that for some camera geometry problems our resultant-based method leads to smaller and more stable solvers than the state-of-the-art Gröbner basis-based solvers, while being significantly smaller than the state-of-the-art resultant-based methods. The proposed method can be fully automated and incorporated into existing tools for the automatic generation of efficient polynomial solvers. It provides a competitive alternative to popular Gröbner basis-based methods for minimal problems in computer vision. Additionally, we study the conditions under which the minimal solvers generated by the state-of-the-art action matrix-based methods and the proposed extra polynomial resultant-based method, are equivalent. Specifically, we consider a step-by-step comparison between the approaches based on the action matrix and the sparse resultant, followed by a set of substitutions, which would lead to equivalent minimal solvers.
Social dynamics in interpersonal emotion regulation: A theoretical framework for understanding direct and indirect other-based processes
Authors: López-Pérez Belén , Polias Shayne , Zuffianò Antonio , Gummerum Michaela 
Published: March 2024

AbstractInterpersonal emotion regulation involves having emotions changed in a social context. While some research has used the term to refer to instances where others are used to alter one’s own emotions (intrinsic), other research refers to goal-directed actions aimed at modifying others’ emotional responses (extrinsic). We argue that the self-other distinction should be applied not only to the target (who has their emotion regulated) but also to the means (whether the agent uses themselves or others to achieve the regulation). Based on this, we propose interpersonal emotion regulation can take place when an agent changes a target’s emotions by affecting a third party’s emotion who will shift the emotion of the target in turn (direct other-based interpersonal ER) or by impacting a third party’s emotion (indirect other-based interpersonal ER). We discuss these processes and the conditions that lead to their emergence reconciling findings from different fields and suggesting new research venues.
Adjuvant re-irradiation vs. no early re-irradiation of resected recurrent glioblastoma: pooled comparative cohort analysis from two tertiary centers
Authors: Straube Christoph , Combs Stephanie E. , Bernhardt Denise , Gempt Jens , Meyer Bernhard , Zimmer Claus , Schmidt-Graf Friederike , Vajkoczy Peter , Grün Arne , Ehret Felix , Zips Daniel , Kaul David 
Published: March 2024

Abstract
Background
The optimal management strategy for recurrent glioblastoma (rGBM) remains uncertain, and the impact of re-irradiation (Re-RT) on overall survival (OS) is still a matter of debate. This study included patients who achieved gross total resection (GTR) after a second surgery after recurrence, following the GlioCave criteria.

Methods
Inclusion criteria include being 18 years or older, having histologically confirmed locally recurrent IDHwt or IDH unknown GBM, achieving MRI-proven GTR after the second surgery, having a Karnofsky performance status of at least 60% after the second surgery, having a minimum interval of 6 months between the first radiotherapy and the second surgery, and a maximum of 8 weeks from second surgery to the start of Re-RT.

Results
A total of 44 patients have met the inclusion criteria. The median OS after the second surgery was 14 months. All patients underwent standard treatment after initial diagnosis, including maximum safe resection, adjuvant radiochemotherapy and adjuvant chemotherapy. Re-RT did not significantly impact OS. However, MGMT promoter methylation status and a longer interval (> 12 months) between treatments were associated with better OS. Multivariate analysis revealed the MGMT status as the only significant predictor of OS.

Conclusion
Factors such as MGMT promoter methylation status and treatment interval play crucial roles in determining patient outcomes after second surgery. Personalized treatment strategies should consider these factors to optimize the management of rGBM. Prospective research is needed to define the value of re-RT after second surgery and to inform decision making in this situation.
Women’s Work Characteristics and Fertility Expectations
Authors: Yarger Jennifer , Brauner-Otto Sarah R. 
Published: March 2024

AbstractPrevious research has shown that employment is an important social context affecting fertility, yet relatively little is known about the extent to which work characteristics affect fertility expectations. Using over 25 years of data from the 1979 National Longitudinal Survey of Youth, we analyzed the associations between part-time work and characteristics associated with autonomy over working time, specifically self-employment and managerial/professional occupation, and childbearing expectations among women ages 18–45 (N = 4,415). Logistic regression models for longitudinal data reveal that work characteristics are significantly associated with fertility expectations, but that the specific nature of the relationship varies by parity. Among women with one child, those working part-time had predicted probabilities of expecting to have additional children that were 2% higher than those working full-time. In contrast, among women without any children, those working part-time had predicted probabilities that were 2% lower than those working full-time. Similar contrasting relationships by parity were found when comparing self-employed women to employees and managers/professionals to those in other occupations. Findings were consistent across racial and ethnic groups. These results suggest that different mechanisms link work characteristics to fertility plans for mothers and non-mothers, specifically that role incompatibility and work-family conflict are more salient for mothers but that financial strain is so for non-mothers.
Traces of Bildung in Upper Secondary Science Education: A Critical Investigation of Chemistry Teachers’ Orientation Towards Promoting Bildung in Chemistry Education
Authors: Clucas Paul , Sjöström Jesper 
Published: March 2024

AbstractThere is a need of a component in science education that can orient students to the complexity characterising the natural sciences position in relation to a globalised risk society and the Anthropocene. Recently, the implications of the German philosophical and educational construct Bildung have been discussed in this regard. In this paper, we investigate in what aspect an orientation towards promoting Bildung manifests in Swedish upper secondary school chemistry teachers’ visions and views for their teaching. In view of the reported impact of neoliberal policy in narrowing the scope of education, with such narrowing possibly excluding dimensions of philosophical-ethical reflection in science teaching, we also investigate in what aspect economic goals associated with neoliberalism might hinder a Bildung orientation in the vision and views of the five chemistry teachers that were interviewed. Results revealed “Bildung-related elements” to be present in the chemistry teaching visions of all the teachers, however without strong Bildung orientation. Significantly, four of the five teachers reported contextual factors consistent with the impact of neoliberal policy in education as marginalising their work to realise Bildung-related elements. In addition, factors outside of teachers’ awareness were also found to marginalise Bildung. Common for all five teachers were neoliberal values at the level of teachers’ implicit beliefs, with our analysis pointing to the possibility that teachers view Bildung-related elements in their chemistry teaching as commodifiable entities. We argue that these implicit beliefs disempower the teachers in relation to a teaching praxis that seeks to guide students towards their own Bildung.
Deep learning-based automatic pipeline for 3D needle localization on intra-procedural 3D MRI
Authors: Zhou Wenqi , Li Xinzhou , Zabihollahy Fatemeh , Lu David S. , Wu Holden H. 
Published: March 2024

Abstract
Purpose
Accurate and rapid needle localization on 3D magnetic resonance imaging (MRI) is critical for MRI-guided percutaneous interventions. The current workflow requires manual needle localization on 3D MRI, which is time-consuming and cumbersome. Automatic methods using 2D deep learning networks for needle segmentation require manual image plane localization, while 3D networks are challenged by the need for sufficient training datasets. This work aimed to develop an automatic deep learning-based pipeline for accurate and rapid 3D needle localization on in vivo intra-procedural 3D MRI using a limited training dataset.

Methods
The proposed automatic pipeline adopted Shifted Window (Swin) Transformers and employed a coarse-to-fine segmentation strategy: (1) initial 3D needle feature segmentation with 3D Swin UNEt TRansfomer (UNETR); (2) generation of a 2D reformatted image containing the needle feature; (3) fine 2D needle feature segmentation with 2D Swin Transformer and calculation of 3D needle tip position and axis orientation. Pre-training and data augmentation were performed to improve network training. The pipeline was evaluated via cross-validation with 49 in vivo intra-procedural 3D MR images from preclinical pig experiments. The needle tip and axis localization errors were compared with human intra-reader variation using the Wilcoxon signed rank test, with p < 0.05 considered significant.

Results
The average end-to-end computational time for the pipeline was 6 s per 3D volume. The median Dice scores of the 3D Swin UNETR and 2D Swin Transformer in the pipeline were 0.80 and 0.93, respectively. The median 3D needle tip and axis localization errors were 1.48 mm (1.09 pixels) and 0.98°, respectively. Needle tip localization errors were significantly smaller than human intra-reader variation (median 1.70 mm; p < 0.01).

Conclusion
The proposed automatic pipeline achieved rapid pixel-level 3D needle localization on intra-procedural 3D MRI without requiring a large 3D training dataset and has the potential to assist MRI-guided percutaneous interventions.
Functional determinants for the second variation
Authors: Baranzini Stefano 
Published: March 2024

AbstractWe study the determinant of the second variation of an optimal control problem for general boundary conditions. Generically, these operators are not trace class and the determinant is defined as a principal value limit. We provide a formula to compute this determinant in terms of the linearisation of the extrenal flow. We illustrate the procedure in some special cases, proving some Hill-type formulas.
Retinol binding protein 4 and type 2 diabetes: from insulin resistance to pancreatic β-cell function
Authors: Fan Jiahua , Hu Jinxing 
Published: March 2024

Abstract
Background and aim
Retinol binding protein 4 (RBP4) is an adipokine that has been explored as a key biomarker of type 2 diabetes mellitus (T2DM) in recent years. Researchers have conducted a series of experiments to understand the interplay between RBP4 and T2DM, including its role in insulin resistance and pancreatic β-cell function. The results of these studies indicate that RBP4 has a significant influence on T2DM and is considered a potential biomarker of T2DM. However, there have also been some controversies about the relationship between RBP4 levels and T2DM. In this review, we update and summarize recent studies focused on the relationship between RBP4 and T2DM and its role in insulin resistance and pancreatic β-cell function to clarify the existing controversy and provide evidence for future studies. We also assessed the potential therapeutic applications of RBP4 in treating T2DM.

Methods
A narrative review.

Results
Overall, there were significant associations between RBP4 levels, insulin resistance, pancreatic β-cell function, and T2DM.

Conclusions
More mechanistic studies are needed to determine the role of RBP4 in the onset of T2DM, especially in terms of pancreatic β-cell function. In addition, further studies are required to evaluate the effects of drug intervention, lifestyle intervention, and bariatric surgery on RBP4 levels to control T2DM and the role of reducing RBP4 levels in improving insulin sensitivity and pancreatic β-cell function.
Extension-based constructions of locally repairable fractional repetition codes
Authors: Daǧlı Mehmet 
Published: March 2024

AbstractFractional Repetition (FR) codes break the data into smaller fragments and distribute these fragments across multiple storage nodes. This paper focuses on extension-based construction methods for obtaining new FR codes from existing FR codes. Additionally, it formulates a particular case of extension codes as an exact cover problem, enabling an algorithmic construction of FR codes.
Vehicle’s Lateral Motion Control Using Dynamic Mode Decomposition Model Predictive Control for Unknown Model
Authors: Kim Guntae , Park Chaehun , Jeong Cheolmin , Kang Chang Mook , Cho Jaeil , Lee Hyungchae , Lee Jaeho , Kang Donghyun 
Published: March 2024

AbstractIn this paper, we present a data-driven modeling method for lateral motion control of unknown vehicle models. Vehicle’s motion can be modeled linearly but this model has complex and nonlinear characteristic. Therefore, it is necessary to know the exact information of the car chassis and requires a knowledge and understanding of dynamics. To solve these drawbacks, we linearly represent full vehicle's lateral dynamics which include nonlinear behavior using dynamic mode decomposition (DMD), one of the data driven modeling methods. To determine the validity of the model obtained using the DMD method, we conducted a simulation of the comparison of the output states between the existing model and the model obtained through DMD modeling, using the scenario of a dynamic maneuver called a double line change during lateral motion of a vehicle. After determination of validation is completed, we designed a lane keeping system by applying a model predictive control to specifically evaluate the model of the proposed method. Performance was derived by comparing the error caused by the vehicle driving on the course with the controller of the simulation. The performance of the proposed approach has been evaluated through simulations and is useful when the model is inaccurate.