bluuebunny/crossref_metadata_2025_split huggingface dataset:
Historical Memory and Its (Dis)contents
Authors: Schultze-Kraft Markus 
Published: February 2022

AbstractEfforts to recover and preserve the historical memory of past violence and injustice are today increasingly widespread in countries wrestling with, or emerging from, violent conflict. This reflects the rise of memory studies as a distinct field of inquiry as well as the growing recognition of the importance of centrally including the voices of victims in the elaboration of narratives of past suffering and evil. However, as an “essentially contested concept,” historical memory faces numerous challenges that have to be navigated when conducting applied historical memory work in violence-inflected settings. Among the pitfalls, historical memory work faces the unresolved tension between history and memory, which gives substance to claims that forgetting should trump remembering. Furthermore, owing to it being anchored in the subjective domain of memory, applied historical memory work risks deepening prevailing patterns of hatred, enmity and exclusion, in addition to being instrumentalised and manipulated by hegemonic societal groups and interests. This notwithstanding, the case of Colombia reveals that under certain conditions historical memory work can yield positive results in terms of giving voice to victims on all sides and honouring their entitlement to recover and preserve the memories of past suffering, thereby helping them to address traumatic past experiences.
Historical Memory-Oriented Peace Education and the Sustaining Peace Agenda
Authors: Schultze-Kraft Markus 
Published: February 2022

AbstractThe sustaining peace agenda, fielded by the UN in the mid-2010s, offers an opportunity to take a fresh look at the ways in which we approach our applied, everyday work on and/or for peace in the classroom and beyond. Regarding the field of peace education, there is merit in adopting the less prescriptive, value-laden and universalising and, at the same time, more indeterminate, normatively restrained and humble elements that set the discourse on sustaining peace apart from that of conventional international peacebuilding as we have known it. In this respect, incorporating a focus on historical memory can enhance the strength and value of education on and/or for peace in a world riven with crises, disunity and violent conflict. Rather than upholding notions of universal values, independent of local culture and historically formed power relationships, and the idea that peace can be achieved by righting the individual mind; or seeking to bring about far-reaching social transformation to alleviate the plight of the oppressed and marginalised by empowering them to resist and fight, such an approach strives to enable learners (and teachers) to work towards healing past trauma and recognising the “other” as a moral agent.
Conclusion
Authors: Schultze-Kraft Markus 
Published: February 2022

AbstractContemporary education on and for peace can be strengthened by incorporating a focus on historical memory, especially in countries wrestling with, or emerging from, violent conflict. Peace education conceived in these terms helps to address some of the shortcomings of what I call the conventional and critical schools in the field. Furthermore, historical memory-oriented peace education can contribute to filling voids in and enhancing the new, UN-led sustaining peace agenda, thereby supporting the achievement of the SDGs. At the same time, the narrative highlights that we cannot take anything for granted. Our present knowledge about the relationship between historical memory, peace education for sustaining peace and achieving the SDGs is limited. There clearly is a need for more research on these complex issues.
On phase-space integrals with Heaviside functions
Authors: Baranowski Daniel , Delto Maximilian , Melnikov Kirill , Wang Chen-Yu 
Published: February 2022

Abstract
We discuss peculiarities that arise in the computation of real-emission contributions to observables that contain Heaviside functions. A prominent example of such a case is the zero-jettiness soft function in SCET, whose calculation at next-to-next-to-next-to-leading order in perturbative QCD is an interesting problem. Since the zero-jettiness soft function distinguishes between emissions into different hemispheres, its definition involves θ-functions of light-cone components of emitted soft partons. This prevents a direct use of multi-loop methods, based on reverse unitarity, for computing the zero-jettiness soft function in high orders of perturbation theory. We propose a way to bypass this problem and illustrate its effectiveness by computing various non-trivial contributions to the zero-jettiness soft function at NNLO and N3LO in perturbative QCD.
Precision calculation of inflation correlators at one loop
Authors: Wang Lian-Tao , Xianyu Zhong-Zhi , Zhong Yi-Ming 
Published: February 2022

Abstract
We initiate a systematic study of precision calculation of the inflation correlators at the 1-loop level, starting in this paper with bosonic 1-loop bispectrum with chemical-potential enhancement. Such 1-loop processes could lead to important cosmological collider observables but are notoriously difficult to compute due to the lack of symmetries. We attack the problem from a direct numerical approach based on the real-time Schwinger-Keldysh formalism and show full numerical results for arbitrary kinematics containing both the oscillatory “signals” and the “backgrounds”. Our results show that, while the non-oscillatory part can be one to two orders of magnitude larger, the oscillatory signal can be separated out by applying appropriate high-pass filters. We have also compared the result with analytic estimates typically adopted in the literature. While the amplitude is comparable, there is a non-negligible deviation in the frequency of the oscillatory part away from the extreme squeezed limit.
Page curve from dynamical branes in JT gravity
Authors: Okuyama Kazumi , Sakai Kazuhiro 
Published: February 2022

Abstract
We study the Page curve of an evaporating black hole using a toy model given by Jackiw-Teitelboim gravity with Fateev-Zamolodchikov-Zamolodchikov-Teschner (FZZT) antibranes. We treat the anti-FZZT branes as dynamical objects, taking their back-reaction into account. We construct the entanglement entropy from the dual matrix model and study its behavior as a function of the ’t Hooft coupling t proportional to the number of branes, which plays the role of time. By numerical computation we observe that the entropy first increases and then decreases as t grows, reproducing the well-known behavior of the Page curve of an evaporating black hole. The system finally exhibits a phase transition, which may be viewed as the end of the evaporation. We study the critical behavior of the entropy near the phase transition. We also make a conjecture about the late-time monotonically decreasing behavior of the entropy. We prove it in a certain limit as well as give an intuitive explanation by means of the dual matrix model.
Black tsunamis and naked singularities in AdS
Authors: Emparan Roberto , Licht David , Suzuki Ryotaku , Tomašević Marija , Way Benson 
Published: February 2022

Abstract
We study the evolution of the Gregory-Laflamme instability for black strings in global AdS spacetime, and investigate the CFT dual of the formation of a bulk naked singularity. Using an effective theory in the large D limit, we uncover a rich variety of dynamical behaviour, depending on the thickness of the string and on initial perturbations. These include: large inflows of horizon generators from the asymptotic boundary (a ‘black tsunami’); a pinch-off of the horizon that likely reveals a naked singularity; and competition between these two behaviours, such as a nakedly singular pinch-off that subsequently gets covered by a black tsunami. The holographic dual describes different patterns of heat flow due to the Hawking radiation of two black holes placed at the antipodes of a spherical universe. We also present a model that describes, in any D, the burst in the holographic stress-energy tensor when the signal from a bulk self-similar naked singularity reaches the boundary. The model shows that the shear components of the boundary stress diverge in finite time, while the energy density and pressures from the burst vanish.
Complex linear multiplets and local supersymmetry breaking
Authors: Farakos Fotis , Kehagias Alex , Liatsos Nikolaos 
Published: February 2022

Abstract
We study supersymmetry breaking from a complex linear superfield coupled to 4D N=1 supergravity. The theory has two classically decoupled vacua, one supersymmetric and one with broken and intrinsically non-linear supersymmetry. Depending on the values of the parameters the scalar potential can lead to no-scale Minkwoski or a stable de Sitter or anti-de Sitter vacuum. We also provide a dual description of the system in terms of a nilpotent chiral superfield and a standard chiral coupled to supergravity.
Emergent strings, duality and weak coupling limits for two-form fields
Authors: Lee Seung-Joo , Lerche Wolfgang , Weigand Timo 
Published: February 2022

Abstract
We systematically analyse weak coupling limits for 2-form tensor fields in the presence of gravity. Such limits are significant for testing various versions of the Weak Gravity and Swampland Distance Conjectures, and more broadly, the phenomenon of emergence. The weak coupling limits for 2-forms correspond to certain infinite-distance limits in the moduli space of string compactifications, where asymptotically tensionless, solitonic strings arise. These strings are identified as weakly coupled fundamental strings in a dual frame, which makes the idea of emergence manifest. Concretely we first consider weakly coupled tensor fields in six-dimensional compactifications of F-theory, where the arising tensionless strings play the role of dual weakly coupled heterotic strings. As the main part of this work, we consider certain infinite distance limits of Type IIB strings on K3 surfaces, for which we show that the asymptotically tensionless strings describe dual fundamental Type IIB strings, again on K3 surfaces. By contrast the analogous weak coupling limits of M-theory compactifications are found to correspond to an F-theory limit where an extra dimension emerges rather than tensionless strings. We comment on extensions of our findings to four-dimensional compactifications.
PSTPIP1-LYP phosphatase interaction: structural basis and implications for autoinflammatory disorders
Authors: Manso José A. , Marcos Tamara , Ruiz-Martín Virginia , Casas Javier , Alcón Pablo , Sánchez Crespo Mariano , Bayón Yolanda , de Pereda José M. , Alonso Andrés 
Published: February 2022

AbstractMutations in the adaptor protein PSTPIP1 cause a spectrum of autoinflammatory diseases, including PAPA and PAMI; however, the mechanism underlying these diseases remains unknown. Most of these mutations lie in PSTPIP1 F-BAR domain, which binds to LYP, a protein tyrosine phosphatase associated with arthritis and lupus. To shed light on the mechanism by which these mutations generate autoinflammatory disorders, we solved the structure of the F-BAR domain of PSTPIP1 alone and bound to the C-terminal homology segment of LYP, revealing a novel mechanism of recognition of Pro-rich motifs by proteins in which a single LYP molecule binds to the PSTPIP1 F-BAR dimer. The residues R228, D246, E250, and E257 of PSTPIP1 that are mutated in immunological diseases directly interact with LYP. These findings link the disruption of the PSTPIP1/LYP interaction to these diseases, and support a critical role for LYP phosphatase in their pathogenesis.
Maybe you can turn me on: CRISPRa-based strategies for therapeutic applications
Authors: Becirovic Elvir 
Published: February 2022

AbstractSince the revolutionary discovery of the CRISPR-Cas technology for programmable genome editing, its range of applications has been extended by multiple biotechnological tools that go far beyond its original function as “genetic scissors”. One of these further developments of the CRISPR-Cas system allows genes to be activated in a targeted and efficient manner. These gene-activating CRISPR-Cas modules (CRISPRa) are based on a programmable recruitment of transcription factors to specific loci and offer several key advantages that make them particularly attractive for therapeutic applications. These advantages include inter alia low off-target effects, independence of the target gene size as well as the potential to develop gene- and mutation-independent therapeutic strategies. Herein, I will give an overview on the currently available CRISPRa modules and discuss recent developments, future potentials and limitations of this approach with a focus on therapeutic applications and in vivo delivery.
Plant evolutionary ecology in mountain regions in space and time
Authors: Parisod Christian , Lavergne Sébastien , Sun Hang , Kadereit Joachim W. 
Published: February 2022

AbstractThis special issue of the journal Alpine Botany brings together syntheses, macroecological and taxon-specific studies of patterns and processes of plant evolution in major mountain ranges across Europe, Africa, the Americas and Asia. Apart from reflecting current conceptual and methodological perspectives in the field, it contributes to our understanding of the interplay between factors determining the evolution and distribution of plant variation across topographically complex areas, and will help to identify the components necessary for building an integrative model of the origin and distribution of diversity in mountain areas.
Multifamily groups for patients with schizophrenia: an exploratory randomised controlled trial in Bosnia and Herzegovina
Authors: Muhić M. , Janković S. , Sikira H. , Slatina Murga S. , McGrath M. , Fung C. , Priebe S. , Džubur Kulenović A. 
Published: February 2022

Abstract
Background
Schizophrenia has a significant and lasting impact on the quality of life of patients and their families and is a leading cause of disability globally. Family interventions can be beneficial and may be particularly appropriate in settings with limited resources. We conducted an exploratory trial testing the effectiveness of a multifamily group intervention, which draws on the traditions of psychoeducation and trialogue, for improving the quality of life of patients with schizophrenia in Bosnia and Herzegovina.

Methods
We conducted an exploratory, randomised controlled trial with patients with schizophrenia attending an outpatient clinic in Sarajevo. Our primary outcome was improved quality of life at 6-month follow-up. Secondary outcomes included objective social outcomes, psychiatric symptoms and psychiatric hospitalisation measured at 6 and 12 months. Experiences of participants were assessed in post-intervention interviews.

Results
72 patients were randomly assigned to either one of six multifamily groups or treatment as usual. Follow-up assessments were completed with 53 patients (74%) at 6 months and 55 patients (76%) at 12 months. The intervention significantly improved quality of life at 6 months (Cohen’s d = 0.78, F = 6.37, p = 0.016) and 12 months (d = 1.08, F = 17.92, p < 0.001), compared with treatment as usual. Re-hospitalisation rates at 6 months and symptom levels also improved significantly whilst changes in other secondary outcomes failed to reach statistical significance.

Conclusion
These findings suggest multifamily groups can be effective for improving the quality of life of patients with schizophrenia in Bosnia and Herzegovina. Further research is required to assess how multifamily groups may be scaled up in similar settings with limited resources.
Decision-makers’ attitudes toward the use of care robots in welfare services
Authors: Tuisku Outi , Pekkarinen Satu , Hennala Lea , Melkas Helinä 
Published: February 2022

AbstractThe purpose of this study was to investigate the attitudes of decision-makers toward the use of care robots in welfare services. We investigated their knowledge regarding the use of care robots in welfare services as well as their attitudes toward using robots in their own care and in the care of various user groups, for example, children, youths, and older people. We conducted an online survey with a range of Finnish decision-makers as respondents (N = 176). The respondents were divided into two groups: service actors (n = 104) and research and development (R&D) actors (n = 72). The respondents did not regard themselves as having much knowledge about robotics; however, the results showed that the R&D actors had more overall knowledge of the use of robots than the service actors. The R&D actors were found to be more willing to accept a robot as part of their own care as well as part of the care for various user groups. The contribution of this study is a better understanding of the views of the decision-makers who are or will be in charge of the acquisition of technological devices in welfare services.
A modified level set method for topology optimization of sparsely-filled and slender structures
Authors: Azari Nejat Ali , Held Alexander , Trekel Niklas , Seifried Robert 
Published: February 2022

AbstractIn structural optimization, the level set method is known as a well-established approach for shape and topology optimization. However, special care must be taken, if the design domains are sparsely-filled and slender. Using steepest descent-type level set methods, slender structure topology optimizations tend to instabilities and loss of structural cohesion. A sole step size control or a selection of more complex initial designs only help occasionally to overcome these issues and do not describe a universal solution. In this paper, instead of updating the level set function by solving a Hamilton–Jacobi partial differential equation, an adapted algorithm for the update of the level set function is utilized, which allows an efficient and stable topology optimization of slender structures. Including different adaptations, this algorithm replaces unacceptable designs by modifying both the pseudo-time step size and the Lagrange multiplier. Besides, adjustments are incorporated in the normal velocity formulation to avoid instabilities and achieve a smoother optimization convergence. Furthermore, adding filtering-like adaptation terms to the update scheme, even in case of very slender structures, the algorithm is able to perform topology optimization with an appropriate convergence speed. This procedure is applied for compliance minimization problems of slender structures. The stability of the optimization process is shown by 2D numerical examples. The solid isotropic material with penalization (SIMP) method is used as an alternative approach to validate the result quality of the presented method. Finally, the simple extension to 3D optimization problems is addressed, and a 3D optimization example is briefly discussed.
Validation of a nonlinear force method for large deformations in shape-morphing structures
Authors: du Pasquier Cosima , Shea Kristina 
Published: February 2022

AbstractReducing energy and material consumption is a priority for the construction, aerospace, and automotive industries. Shape morphing addresses these concerns by broadening the band of functionality of a structure by adapting its shape to an external stimulus, such as pressure, or an internal stimulus, such as embedded actuation. This work outlines the development of an actuator placement optimization method for overdeterminate lattice structures with the objective of achieving predetermined large shape changes accurately. The deformation is modeled with both a linear and a nonlinear force method to determine their validity for large-shape change and their usefulness for the field of shape morphing. The linear and nonlinear methods are compared in four benchmark problems and two case studies relevant to the field of shape morphing. The nonlinear method is shown to achieve a level of accuracy $$10^2$$

10
2

to $$10^4$$

10
4

higher compared to FEM simulation, while using 23% fewer actuators and up to 77.3% less elongation of actuators, which makes it more favorable for shape-morphing applications. Two case studies for applications in aerospace and construction show that the nonlinear force method is better equipped for large shape change in overdeterminate meshed freeform target shapes and doubly curved surfaces with a high variable density. However, the nonlinear force method is less computationally efficient than the linear force method, as expected. A judicious choice of constraints can help reduce the run time.
Impact of material data in assembly delay prediction—a machine learning-based case study in machinery industry
Authors: Steinberg Fabian , Burggaef Peter , Wagner Johannes , Heinbach Benjamin 
Published: February 2022

AbstractDesigning customized products for customer needs is a key characteristic of machine and plant manufacturers. Their manufacturing process typically consists of a design phase followed by planning and executing a production process of components required in the subsequent assembly. Production delays can lead to a delayed start of the assembly. Predicting potentially delayed components—we call those components assembly start delayers—in early phases of the manufacturing process can support an on-time assembly. In recent research, prediction models typically include information about the orders, workstations, and the status of the manufacturing system, but information about the design of the component is not used. Since the components of machine and plant manufacturers are designed specifically for the customer needs, we assumed that material data influence the quality of a model predicting assembly start delayers. To analyze our hypothesis, we followed the established CRISP-DM method to set up 12 prediction models at an exemplary chosen machine and plant manufacturer utilizing a binary classification approach. These 12 models differentiated in the utilization of material data—including or excluding material data—and in the utilized machine learning algorithm—six algorithms per data case. Evaluating the different models revealed a positive impact of the material data on the model quality. With the achieved results, our study validates the benefit of using material data in models predicting assembly start delayers. Thus, we identified that considering data sources, which are commonly not used in prediction models, such as material data, increases the model quality.
Submodular financial markets with frictions
Authors: Chateauneuf Alain , Cornet Bernard 
Published: February 2022

AbstractThis paper studies arbitrage-free financial markets with bid-ask spreads whose super-hedging prices are submodular. The submodular assumption on the super-hedging price, or the supermodularity usually assumed on utility functions, is the formal expression of perfect complementarity, which dates back to Fisher, Pareto, and Edgeworth, according to Samuelson (J Econ Lit 12:1255–1289, 1974). Our main contribution provides several characterizations of financial markets with frictions that are submodular as a consequence of a more general study of submodular pricing rules. First, a market is submodular if and only if its super-hedging price is a Choquet integral and if and only if its set of risk-neutral probabilities is representable as the core of a submodular non-additive probability that is uniquely defined, called risk-neutral capacity. Second, a market is representable by its risk neutral capacity if and only if it is equivalent to a market, only composed of bid-ask event securities.