bluuebunny/crossref_metadata_2025_split huggingface dataset:
One dimensional representations of finite $W$-algebras, Dirac reduction and the orbit method
Authors: Topley Lewis 
Published: August 2023

AbstractIn this paper we study the variety of one dimensional representations of a finite$W$W-algebra attached to a classical Lie algebra, giving a precise description of the dimensions of the irreducible components. We apply this to prove a conjecture of Losev describing the image of his orbit method map. In order to do so we first establish new Yangian-type presentations of semiclassical limits of the$W$W-algebras attached to distinguished nilpotent elements in classical Lie algebras, using Dirac reduction.
First human surgery using a surgical assistance robotics device for laparoscopic cholecystectomies
Authors: Cadière Guy-Bernard , Himpens Jacques , Poras Mathilde , Pau Luca , Boyer Nicolas , Cadière Benjamin 
Published: August 2023

Abstract
Background
Over the past 20 years, surgeons involved in soft tissue minimally invasive surgery have experienced the pros and cons of both conventional and tele-robotic laparoscopic approaches. The Maestro System, developed by Moon Surgical (Paris, France) aims to overcome the challenges inherent to both approaches thanks to a new concept that augments the surgeon’s performance at the bedside during a laparoscopic procedure.

Methods
The current study aims to present the first human experience with laparoscopic cholecystectomy with the Maestro system on 10 patients.

Results
All ten procedures were completed successfully. No significant complications related to the use of the Maestro system werenoted.

Conclusion
Our preliminary observations appear to support the benefits of the Maestro system in non-emergent laparoscopic cholecystectomies. It goes without saying that further research is necessary to demonstrate the safety of this approach in other procedures.
A mysterious cloak: the peptidoglycan layer of algal and plant plastids
Authors: MacLeod Alexander I. , Knopp Michael R. , Gould Sven B. 
Published: August 2023

AbstractThe plastids of algae and plants originated on a single occasion from an endosymbiotic cyanobacterium at least a billion years ago. Despite the divergent evolution that characterizes the plastids of different lineages, many traits such as membrane organization and means of fission are universal—they pay tribute to the cyanobacterial origin of the organelle. For one such trait, the peptidoglycan (PG) layer, the situation is more complicated. Our view on its distribution keeps on changing and little is known regarding its molecular relevance, especially for land plants. Here, we investigate the extent of PG presence across the Chloroplastida using a phylogenomic approach. Our data support the view of a PG layer being present in the last common ancestor of land plants and its remarkable conservation across bryophytes that are otherwise characterized by gene loss. In embryophytes, the occurrence of the PG layer biosynthetic toolkit becomes patchier and the availability of novel genome data questions previous predictions regarding a functional coevolution of the PG layer and the plastid division machinery-associated gene FtsZ3. Furthermore, our data confirm the presence of penicillin-binding protein (PBP) orthologs in seed plants, which were previously thought to be absent from this clade. The 5-7 nm thick, and seemingly unchanged, PG layer armoring the plastids of glaucophyte algae might still provide the original function of structural support, but the same can likely not be said about the only recently identified PG layer of bryophyte and tracheophyte plastids. There are several issues to be explored regarding the composition, exact function, and biosynthesis of the PG layer in land plants. These issues arise from the fact that land plants seemingly lack certain genes that are believed to be crucial for PG layer production, even though they probably synthesize a PG layer.
Information security objectives and the output legitimacy of ISO/IEC 27001: stakeholders’ perspective on expectations in private organizations in Sweden
Authors: Kamil Yasmin , Lund Sofia , Islam M Sirajul 
Published: August 2023

AbstractOrganizations use the ISO/IEC 27001 standard to establish an information security management system (ISMS). This standard outlines specific security measures and requirements that organizations can implement to effectively manage their information assets. However, the effectiveness of the standard’s problem-solving capabilities has raised some questions. Consequently, there is a continuous development of new governance methods that demand fresh approaches to validate security operations and measures. In light of this, research is being conducted to examine the application and impact of ISO/IEC 27001, as well as to analyze the challenges and knowledge gaps through theoretical perspectives. By employing stakeholder theory, the focus shifts towards integrating business and social issues and exploring how non-business pressures can influence stakeholder motivations in implementing standards. Additionally, it investigates the impact of these standards on an organization’s reputation, performance, and operations. Therefore, the objective of this study is to investigate the output legitimacy of ISO/IEC 27001 from the perspective of stakeholder expectations. To accomplish this, an interview-based study was conducted, involving relevant stakeholders engaged in information security management within private organizations in Sweden. The findings reveal eight key information security objectives. The results indicate that the level of output legitimacy of the standard varies across these objectives, ranging from high to medium to low. To achieve a high level of output legitimacy for ISO/IEC 27001, stakeholders must understand that the standard is not solely a technical document. Furthermore, stakeholders need to possess the appropriate knowledge and skills in information security to effectively navigate their work while leveraging the support provided by the standard.
Deep neural networks for explainable feature extraction in orchid identification
Authors: Apriyanti Diah Harnoni , Spreeuwers Luuk J. , Lucas Peter J.F. 
Published: August 2023

AbstractAutomated image-based plant identification systems are black-boxes, failing to provide an explanation of a classification. Such explanations are seen as being essential by taxonomists and are part of the traditional procedure of plant identification. In this paper, we propose a different method by extracting explicit features from flower images that can be employed to generate explanations. We take the benefit of feature extraction derived from the taxonomic characteristics of plants, with the orchids as an example domain. Feature classifiers were developed using deep neural networks. Two different methods were studied: (1) a separate deep neural network was trained for every individual feature, and (2) a single, multi-label, deep neural network was trained, combining all features. The feature classifiers were tested in predicting 63 orchid species using naive Bayes (NB) and tree-augmented Bayesian networks (TAN). The results show that the accuracy of the feature classifiers is in the range 83-93%. By combining these features using NB and TAN the species can be predicted with an accuracy of 88.9%, which is better than a standard pre-trained deep neural-network architecture, but inferior to a deep learning architecture after fine-tuning of multiple layers. The proposed novel feature extraction method still performs well for identification and is explainable, as opposed to black-box solutions that only aim for the best performance.
Graphical abstract
Ensuring/insuring resilient energy system infrastructure
Authors: Lonergan Katherine Emma , Greco Salvatore Francesco , Sansavini Giovanni 
Published: August 2023

AbstractNatural disasters significantly impact energy systems and dependent critical infrastructures, causing severe human and economic losses in modern society. Given the increasing effects of climate change on both the frequency and the severity of extreme weather events, energy systems must adapt to cope with this new and evolving risk environment. In this perspective, we argue that re/insurers have an interest in supporting resilient infrastructure as well as the know-how to do so. Specifically, insurers can support resilient infrastructure by offering resilient-oriented insurance products, such as parametric insurance. Integrating resilience into re/insurance requires integrating existing assessment methods, including risk assessment, to develop innovative insurance products that help clients cope with climate change. Developing insurance products alongside industrial, academic, and government partners is key to making both effective and cost-attractive policies. While our argument is tailored towards energy infrastructure and climate change-related threats, resilience-based insurance would also be useful in mitigating the losses caused by other extreme and hybrid threats across interdependent critical infrastructure networks.
Preschoolers’ Psychosocial Development, Parents, and Neighborhoods: Towards an Integrative Approach for Immigrant Families
Authors: Vaughn Jennifer M. , Rojas-Flores Lisseth , Wang Kenneth T. 
Published: August 2023

AbstractNearly 5.5 million children between the ages of 0–5 in the US have at least one immigrant parent, and 22% of these children live below the poverty line. Emerging research highlights the importance of examining the neighborhood- and parenting-level risks and resources that are most impactful for young children of immigrants’ social development. Using a subsample of 3–5-year-old children (N = 1134) from the National Survey of Children’s Health (CAHMI, 2018), this study tested a conceptual model of cross-level interactions between neighborhood socioeconomic status (SES), behavior problems and flourishing in young children who have at least one foreign-born parent. Structural equation modeling results suggested an indirect effect of neighborhood SES on child flourishing and behavioral problems through neighborhood- (collective efficacy, resources) and parent-level characteristics (mental health, aggravation, parent-child interaction). The relations between neighborhood structure and child outcomes were fully mediated by parenting. Specifically, disadvantages in neighborhood structure had significant direct effects on parental mental health, parenting aggravation, and parent-child interaction, which explained relations between neighborhood structure and child outcomes. Results point to future research areas and potential policy and prevention interventions at neighborhood and parental levels.
Programmable multi-layered auxetic mechanisms
Authors: Karunanidhi Niraj Kamal , Sobczyk Martin , Wiesenhütter Sebastian , Wallmersperger Thomas , Noennig Jörg Rainer 
Published: August 2023

AbstractThe present work investigates programmable auxetic surfaces and how they can be enabled to achieve a general surface shape upon external control. To actively generate target geometries from an initial geometry, a process of non-uniform expansion or contraction as well as an alteration of local curvatures are necessary. This implies the alignment of a multiplicity of control factors. The present work suggests that auxetic mechanisms hold a high potential to achieve and simplify such alignments. As a key principle for achieving defined target forms and the required shape transitions, the study identifies the modification of the local scaling factor and the Gaussian curvature of plane surfaces. Within this work, such active surfaces are created utilizing multi-layered auxetic tessellations. To control the scaling factor and the curvature of the resulting structure, we propose different multi-layered auxetic structures comprising rotational actuators. These concepts are demonstrated for the example of kagome tessellations but can easily be transferred to other auxetic tessellations.
A measure-theoretic representation of graphs
Authors: Mulas Raffaella , Zucal Giulio 
Published: August 2023

AbstractInspired by the notion of action convergence in graph limit theory, we introduce a measure-theoretic representation of matrices, and we use it to define a new notion of pseudo-metric on the space of matrices. Moreover, we show that such pseudo-metric is a metric on the subspace of adjacency or Laplacian matrices for graphs. Hence, in particular, we obtain a metric for isomorphism classes of graphs. Additionally, we study how some properties of graphs translate in this measure representation, and we show how our analysis contributes to a simpler understanding of action convergence of graphops.
Reduced-order model-inspired system identification of geometrically nonlinear structures: application to a nonlinear cantilever-type structure
Authors: Ahmadi M. Wasi , Hill Thomas L. , Jiang Jason Z. , Neild Simon A. 
Published: August 2023

AbstractIn the field of structural dynamics, system identification usually refers to building mathematical models from an experimentally obtained data set. To build reliable models using the measurement data, the mathematical model must be representative of the structure. In this work, attention is given to robust identification of geometrically nonlinear structures, particularly those with large inertial effects. We draw inspiration from reduced-order modelling to determine a suitable model for the system identification. There are large similarities between reduced-order modelling and system identification fields, i.e. both are used to replicate the dynamics of a system using a mathematical model with low complexity. Reduced-order models (ROMs) can accurately capture the physics of a system with a low number of degrees of freedom; thus, in system identification, a model based on the form of a ROM is potentially more robust. Nonlinear system identification of a structure is presented, where inspiration is taken from a novel ROM to form the model. A finite-element model of the structure is built to simulate an experiment, and the identification is performed. It is shown how the ROM-inspired model in the system identification improves the accuracy of the predicted response, in comparison with a standard nonlinear model. As the data are gathered from simulations, system identification is first demonstrated on the high-fidelity data, and then, the fidelity of data is reduced to represent a more realistic experiment. A good response agreement is achieved when using the ROM-inspired model, which accounts for the kinetic energy of un-modelled modes. The estimated parameters of this model are also shown to be more robust and rely on the underlying physics of the system.
Metals in Callitriche cophocarpa from small rivers with various levels of pollution in SW Poland
Authors: Maksymowicz Przemysław , Samecka-Cymerman Aleksandra , Rajsz Adam , Wojtuń Bronisław , Rudecki Andrzej , Lenarcik Maciej , Kempers Alexander J. 
Published: August 2023

AbstractThe anthropogenic impact of metals on aquatic environments is a risk for biota, and thus their levels must be controlled. Callitriche cophocarpa Sendtn. belongs to a genus with a potential for accumulation of elevated metal levels. Thus, it may provide consolidated evidence of contamination. Therefore, the aim of this investigation was to determine Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn in this species collected together with water and bottom sediments from rivers with various levels of pollution. Of these rivers, one less polluted and one more polluted was selected for the collection of C. cophocarpa for an experiment to compare its Cu and Zn concentration potential. Both metals were supplemented at concentrations 0.01, 0.02, 0.03, 0.05, 0.08 and 0.14 mg L−1 of Cu as CuSO4 × 5H2O and 0.4, 0.6, 0,9, 1,35, 2.03 and 3.04 mg L−1 of Zn as ZnSO4 × 7H2O, and in the binary design containing (mg·L−1) 0.01Cu + 0.4Zn, 0.02Cu + 0.6Zn, 0.03Cu + 0.9Zn, 0.05Cu + 1.4Zn, 0.08Cu + 2.03 Zn and 0.14Cu + 3.04Zn. The upper concentrations of Cr, Cu, Mn and Zn in C. cophocarpa shoots from both types of rivers as well as of Ni and Pb in shoots from more polluted rivers were higher than the values typical for toxicity thresholds with no visible harmful effects, which may indicate accumulation abilities of C. cophocarpa for these metals. Both roots and shoots of C. cophocarpa may be included in the group of macroconcentrators for bottom sediments with respect to Cd, Co, Cr, Cu, Fe, Mn, Ni and Zn and deconcentrators of Pb. Greater accumulation of most metals in roots than in shoots indicates their restricted mobility and translocation by C. cophocarpa to shoots. C. cophocarpa from the less polluted river and exposed to all experimental solutions contained significantly higher levels of Cu and Zn than that from the more polluted river exposed to identical experimental solutions. The plants collected from the more polluted river influenced by surplus of metals and living under chemical stress could probably limit further accumulation by developing a resistance mechanism. Cu and Zn contents in C. cophocarpa were higher when treated with separate metals than for binary treatment both in the more and less polluted river. Such research presenting the impact of a combination of metals could be important for understanding and explaining the interactions of these elements which may influence their bioavailability in nature as well as importance in the evaluation of the risk of environmental toxicity.
Highly active Ru/TiO2 nanostructures for total catalytic oxidation of propane
Authors: Camposeco Roberto , Miguel Omar , Torres Ana E. , Armas Daniela E. , Zanella Rodolfo 
Published: August 2023

AbstractRuthenium is a robust catalyst for a variety of applications in environmental heterogeneous catalysis. The catalytic performance of Ru/TiO2 materials, synthesized by using the deposition precipitation with urea method, was assessed in the catalytic oxidation of C3H8, varying the ruthenium loading. The highest catalytic reactivity was obtained for a Ru loading of 2 wt. % in comparison with the 1, 1.5, 3, and 4 wt. % Ru catalysts. The physicochemical properties of the synthesized materials were investigated by XRD, N2 adsorption, TEM, FT-IR pyridine, H2-TPR, and XPS. The size of ruthenium particles was found to be greatly dependent on the pretreatment gas (air or hydrogen) and the catalytic activity was enhanced by the small-size ruthenium metal nanoparticles, leading to changes in the reduction degree of ruthenium, which also increased the Brönsted and Lewis acidity. Metal to support charge transfer enhanced the reactant adsorption sites while oxygen vacancies on the interface enabled the dissociation of O2 molecules as revealed through DFT calculations. The outstanding catalytic activity of the 2Ru/TiO2 catalysts allowed to convert C3H8 into CO2 at reaction temperatures of about 100 °C. This high activity may be attributed to the metal/support interaction between Ru and TiO2, which promoted the reducibility of Ti4+/Ti3+ and Ru4+/Ru0 species, and to the fast migration of TiO2 lattice oxygen in the catalyst. Furthermore, the Ru/TiO2 catalyst exhibited high stability and reusability for 30 h under reaction conditions, using a GHSV of 45,000 h−1. The underlying alkane-metal interactions were explored theoretically in order to explain the C–H bond activation in propane by the catalyst.
Assessing resilience, equity, and sustainability of future visions across two urban scales
Authors: Berbés-Blázquez Marta , Cook Elizabeth M. , Grimm Nancy B. , Iwaniec David M. , Mannetti Lelani M. , Muñoz-Erickson Tischa A. , Wahl Darin 
Published: August 2023

AbstractCities need to take swift action to deal with the impacts of extreme climate events. The co-production of positive visions offers the potential to not only imagine but also intervene in guiding change toward more desirable urban futures. While participatory visioning continues to be used as a tool for urban planning, there needs to be a way of comparing and evaluating future visions so that they can inform decision-making. Traditional tools for comparison tend to favor quantitative modeling, which is limited in its ability to capture nuances or normative elements of visions. In this paper, we offer a qualitative method to assess the resilience, equity, and sustainability of future urban visions and demonstrate its use by applying it to 11 visions from Phoenix, AZ. The visions were co-produced at two different governance scales: five visions were created at the village (or borough) scale, and six visions were created at the regional (or metropolitan) scale. Our analysis reveals different emphases in the mechanisms present in the visions to advance resilience, sustainability, and equity. In particular, we note that regional future visions align with a green sustainability agenda, whereas village visions focus on social issues and emphasize equity-driven approaches. The visions have implications for future trajectories, and the priorities that manifest at the two scales speak of the political nature of visioning and the need to explore how these processes may interact in complementary, synergistic, or antagonistic ways.
Human Multi-Chimeric Cell (HMCC) Therapy as a Novel Approach for Tolerance Induction in Transplantation
Authors: Siemionow Maria , Cwykiel Joanna , Brodowska Sonia , Chambily Lucile 
Published: August 2023

AbstractCellular therapies are regarded as the most promising approach for inducing transplant tolerance without life-long immunosuppression in solid organ and vascularized composite allotransplantation (VCA). Currently, no therapies are achieving this goal. This study introduces a novel Human Multi-Chimeric Cell (HMCC) line created by fusion of umbilical cord blood (UCB) cells, from three unrelated donors as an alternative therapeutic approach to bone marrow transplantation and tolerance induction in solid organ and VCA transplants. We performed eighteen ex vivo polyethylene glycol mediated fusions of human UCB cells from three unrelated donors to create HMCC. Mononuclear cells labeled with PKH26, PKH67, and eFluor™ 670 fluorescent dyes were fused and sorted creating a new population of triple-labeled (PKH26/PKH67/eFluor™ 670) HMCC. The creation of HMCC from three unrelated human UCB donors was confirmed by flow cytometry and confocal microscopy. Genotyping analyses determined the tri-chimeric state of HMCC by presence of parent alleles and selected loci specific for each of three UCB donors. Phenotype characterization confirmed hematopoietic markers distribution, comparable to UCB donors. HMCC maintained viability and displayed a low apoptosis level. The COMET assay revealed absence of genotoxicity, confirming fusion safety. Colony forming units assay showed clonogenic properties of HMCC. This study confirmed the feasibility of HMCC creation from three unrelated human UCB donors and characterized tri-chimeric state, hematopoietic phenotype, viability, safety, and clonogenic properties of HMCC. The created HMCC line, representing genotype characteristics of three unrelated human UCB donors, introduces a novel therapeutic approach for bone marrow, solid organ, and VCA transplants.
Graphical Abstract
Kinderarmut in der Kita im Spiegel organisationsethischer Fragen
Authors: Beinzger Dagmar , Bliemetsrieder Sandro 
Published: August 2023

ZusammenfassungDieser Beitrag beschäftigt sich mit der Frage, vor welchem Hintergrund sich die Institution Kita einer organisationsethischen Position zu Kinderarmut annähern kann. Dabei wird im Rückgriff auf die historischen Wurzeln von kindheitspädagogischen Institutionen deutlich, dass Kinderarmut als gesellschaftlich relevanter Gegenstand schon immer eine bedeutende Rolle bei der Etabalierung und der Funktion von Kindertagesbetreuung gespielt hat. Die Orientierung am Ideal der bürgerlichen Kleinfamilie sowie die Individualisierung von armutsbedingten Problemlagen sind Traditionslinien, die bis heute auffindbar sind. Hier könnte eine machtreflexive Organisationsethik ansetzen, die die Verletzlichkeit von Individuen in sozialen Risikosituationen als Faktum systematisch mitbedenkt und zur Grundlage ihres Leitbildes macht.