bluuebunny/crossref_metadata_2025_split huggingface dataset:
Zur Einführung: Kunstfreiheit versus Persönlichkeitsrecht
Authors: Arjomand-Zoike Daniel , Celik Nursan 
Published: April 2023

ZusammenfassungDas juristische Kollisionsgefüge zwischen dem Rechtsgut der Kunstfreiheit einerseits und dem allgemeinen Persönlichkeitsrecht andererseits macht nicht davor Halt, mitunter selbst fiktionale Literatur zu einem literature-in-law-Fall werden zu lassen. Vergegenständlichungsprozesse von Literatur in der Variante von Verrechtlichungsprozessen sind der Literaturgeschichte nur allzu vertraut. Hierbei sind Fälle dezidiert ‚fiktionaler‘ Literatur besonders störanfällig und mindestens dem Anschein nach als aporetisch zu verzeichnen. Die (vermeintliche) Aporie äußert sich genau dann, wenn fiktionale Literatur Gegenstand eines juristischen Materialisierungsprozesses wird.
Massive color-kinematics duality and double-copy for Kaluza-Klein scattering amplitudes
Authors: Li Yao , Hang Yan-Feng , He Hong-Jian 
Published: April 2023

Abstract
We study the structure of scattering amplitudes of massive Kaluza-Klein (KK) states under toroidal compactification. We present a shifting method to quantitatively derive the scattering amplitudes of massive KK gauge bosons and KK gravitons from the corresponding massless amplitudes in the noncompactified higher dimensional theories. With these we construct the massive KK scattering amplitudes by extending the double-copy relations of massless scattering amplitudes within the field theory framework, including both the BCJ and CHY methods, and build up their connections to the massive KK KLT relations. We present the massive BCJ-type double-copy construction of the N-point KK gauge boson/graviton scattering amplitudes, and as the applications we derive explicitly the four-point KK scattering amplitudes as well as the five-point KK scattering amplitudes. We further study the nonrelativistic limit of these massive scattering amplitudes with the heavy external KK states and discuss the impact of the compactified extra dimensions on the low energy gravitational potential. Finally, we analyze the four-point and N-point mass spectral conditions and newly propose a novel group theory approach to prove that only the KK theories under toroidal compactification can satisfy these conditions for directly realizing massive double-copy in the field theory framework.
Armonia Mundi and San Francesco della Vigna in Venice
Authors: Monteleone Cosimo 
Published: April 2023

AbstractThis essay deals with the construction of the church of San Francesco della Vigna in Venice. This church is an interesting case of proportions applied to architecture. The author analyzes the design, verifies the proportions, virtually reconstructs the unrealized facade by Jacopo Sansovino and compares it with the one built by Andrea Palladio.
Reversed-phase allergen microarrays on optical discs for multiplexed diagnostics of food allergies
Authors: Tortajada-Genaro Luis A. , Casañ-Raga Natalia , Mas Salva , Ibañez-Echevarria Ethel , Morais Sergi , Maquieira Ángel 
Published: April 2023

AbstractA high percentage of the population suffers from multiple food allergies justifying the importance of reliable diagnostic methods. Single-analyte solutions based on the determination of specific immunoglobulins E (sIgE) are safe and fast but are generally time-consuming and expensive. Thus sustainable microanalytical methods that provide multianalyte profiling information are highly demanded. This work presents the in vitro biosensing of specific IgE levels based on a reversed-phase allergen array. The approach consists of optical biosensing supported by direct multiplex immunoassays and on-disc technology. It identifies 12 sIgE associated with food allergies in a single analysis with a low serum sample volume (25 µL). After processing captured images, specific signals for each target biomarker correlate to their concentration. The assay analytically performs well with 0.3 IU/mL and 0.41 IU/mL as the detection and quantification limits in serum, respectively. This novel method achieves excellent clinical specificity (100%) and high sensitivity (91.1%), considering the diagnosis obtained by clinical history and ImmunoCAP analysis. The results demonstrate that microanalytical systems based on allergen arrays can potentially diagnose multiple food allergies and are easily implemented in primary care laboratory settings.
Graphical Abstract
A MILP approach combined with clustering to solve a special petrol station replenishment problem
Authors: Hajba Tamás , Horváth Zoltán , Heitz Dániel , Psenák Bálint 
Published: April 2023

AbstractVehicle routing problem is a well-known optimization problem in the logistics area. A special case of the vehicle routing problem is the station replenishment problem in which different types of fuel types have to be transported from the depots to the customers. In this paper we study the replenishment problem of a European petrol company. The problem contains several additional constraints such as time windows, different sized compartment vehicles, and restrictions on the vehicles that can serve a customer. We introduce a mixed integer linear programming model of the problem. To reduce the size complexity of the MILP model the customers are clustered and, based on the clusters, additional constraints are added to the MILP model. The resulting MILP model is tested on real problems of the company. The results show that combining the MILP model with clustering improves the effectiveness of the model.
Bridging the user equilibrium and the system optimum in static traffic assignment: a review
Authors: Morandi Valentina 
Published: April 2023

AbstractSolving the road congestion problem is one of the most pressing issues in modern cities since it causes time wasting, pollution, higher industrial costs and huge road maintenance costs. Advances in ITS technologies and the advent of autonomous vehicles are changing mobility dramatically. They enable the implementation of a coordination mechanism, called coordinated traffic assignment, among the sat-nav devices aiming at assigning paths to drivers to eliminate congestion and to reduce the total travel time in traffic networks. Among possible congestion avoidance methods, coordinated traffic assignment is a valuable choice since it does not involve huge investments to expand the road network. Traffic assignments are traditionally devoted to two main perspectives on which the well-known Wardropian principles are inspired: the user equilibrium and the system optimum. User equilibrium is a user-driven traffic assignment in which each user chooses the most convenient path selfishly. It guarantees that fairness among users is respected since, when the equilibrium is reached, all users sharing the same origin and destination will experience the same travel time. The main drawback in a user equilibrium is that the system total travel time is not minimized and, hence, the so-called Price of Anarchy is paid. On the other hand, the system optimum is an efficient system-wide traffic assignment in which drivers are routed on the network in such a way the total travel time is minimized, but users might experience travel times that are higher than the other users travelling from the same origin to the same destination, affecting the compliance. Thus, drawbacks in implementing one of the two assignments can be overcome by hybridizing the two approaches, aiming at bridging users’ fairness to system-wide efficiency. In the last decades, a significant number of attempts have been done to bridge fairness among users and system efficiency in traffic assignments. The survey reviews the state-of-the-art of these trade-off approaches.
Tritrophic analysis of the prospective biological control of brown marmorated stink bug, Halyomorpha halys, under extant weather and climate change
Authors: Gutierrez Andrew Paul , Sabbatini Peverieri Giuseppino , Ponti Luigi , Giovannini Lucrezia , Roversi Pio Federico , Mele Alberto , Pozzebon Alberto , Scaccini Davide , Hoelmer Kim A. 
Published: April 2023

AbstractThe highly destructive Asian brown marmorated stink bug (Halyomorpha halys, BMSB) invaded Europe, Caucasus region, and North and South America. Efforts to control it are ongoing in the Palearctic European-Mediterranean Basin and North America by introducing and redistributing two Asian stenophagous scelionid egg parasitoids (Trissolcus japonicus and T. mitsukurii) that are attacked by an adventive oligophagous pteromalid Asian hyperparasitoid (Acroclisoides sinicus). Large BMSB nymphs and adults may be parasitized by new associations of oligophagous tachinid flies and immature stages by egg parasitoids and predators. The terms stenophagous and oligophagous are commonly used to define narrow and wider ranges, respectively, of food eaten, but here they refer to the range of hosts attacked by adult female parasitoids. A holistic weather-driven physiologically based demographic model (PBDM) of the tritrophic interactions was developed to evaluate prospectively the impact of natural enemies on the biological control of BMSB under current and climate change weather. Our study focuses on the European-Mediterranean region, with the results for the USA, Mexico, and Central America reported as supplementary information. The PBDM analysis suggests that biotypes of the egg parasitoids T. japonicus and T. mitsukurii with high search capacity could suppress BMSB regionally, but the requisite levels of parasitism by these parasitoids for economic control are not observed in their native range nor in invaded areas. The model suggests that the action of T. japonicus is greater than that of T. mitsukurii, but that joint interactions of the two egg parasitoids would provide higher mortality of BMSB. Field data and model results suggest that the egg hyperparasitoid A. sinicus has a modest negative impact on the suppression of BMSB. Moreover, tachinid parasitoids of adults could have an important supplemental role in suppressing BMSB densities. Analysis suggests that new biotypes of egg parasitoids and species of tachinid parasitoids of large nymphs and adults be sought.
The distribution of vertebrate roadkill varies by season, surrounding environment, and animal class
Authors: Arca-Rubio Jesús , Moreno-Rueda Gregorio , Ortega Zaida 
Published: April 2023

AbstractDue to rapid human expansion in the last century, wildlife roadkill is becoming a concerning threat to biodiversity and human safety. The frequency of roadkill events depends on factors related to specific traits of the road—tortuosity or the presence of fences, among others—and the animal ecology—such as activity patterns, reproductive season, or thermoregulation. These, in turn, are related to environmental factors, with seasonal variations. Here, we assessed roadkill mortality of terrestrial vertebrates over the year. To do this, we sampled 10 road sections (of 3 km, by walk) in the south of Spain for a full year, registering the carcasses of run-over vertebrates. Then, we analysed the spatiotemporal patterns of roadkill events for the four vertebrates’ classes and the effects of road traits (presence of fence, tortuosity, distance to water point) and environmental variables (mean temperature and precipitation). Mammals suffered the highest mortality by roadkill (45.72%). The frequency of collisions was independent of tortuosity, presence of fences, and precipitation, while mean temperature significantly increased the probability of collision of mammals, birds, and reptiles. There was a seasonal effect in the number of collisions, which spatial pattern depended on the class of vertebrates. All this leads us to conclude that, to reduce the impact caused by roadkill mortality on wildlife, we need specific measures to be taken timely in each critical place and for each vertebrate group.
Characterization of noise in long-term ECG monitoring with machine learning based on clinical criteria
Authors: Holgado-Cuadrado Roberto , Plaza-Seco Carmen , Lovisolo Lisandro , Blanco-Velasco Manuel 
Published: April 2023

AbstractNoise and artifacts affect strongly the quality of the electrocardiogram (ECG) in long-term ECG monitoring (LTM), making some of its parts impractical for diagnosis. The clinical severity of noise defines a qualitative quality score according to the manner clinicians make the interpretation of the ECG, in contrast to assess noise from a quantitative standpoint. So clinical noise refers to a scale of different levels of qualitative severity of noise which aims at elucidating which ECG fragments are valid to achieve diagnosis from a clinical point of view, unlike the traditional approach, which assesses noise in terms of quantitative severity. This work proposes the use of machine learning (ML) techniques to categorize different qualitative noise severity using a database annotated according to a clinical noise taxonomy as gold standard. A comparative study is carried out using five representative ML methods, namely, K neareast neighbors, decision trees, support vector machine, single-layer perceptron, and random forest. The models are fed by signal quality indexes characterizing the waveform in time and frequency domains, as well as from a statistical viewpoint, to distinguish between clinically valid ECG segments from invalid ones. A solid methodology to prevent overfitting to both the dataset and the patient is developed, taking into account balance of classes, patient separation, and patient rotation in the test set. All the proposed learning systems have demonstrated good classification performance, attaining a recall, precision, and F1 score up to 0.78, 0.80, and 0.77, respectively, in the test set by a single-layer perceptron approach. These systems provide a classification solution for assessing the clinical quality of the ECG taken from LTM recordings.
SlicerCBM: automatic framework for biomechanical analysis of the brain
Authors: Safdar Saima , Zwick Benjamin F. , Yu Yue , Bourantas George C. , Joldes Grand R. , Warfield Simon K. , Hyde Damon E. , Frisken Sarah , Kapur Tina , Kikinis Ron , Golby Alexandra , Nabavi Arya , Wittek Adam , Miller Karol 
Published: April 2023

Abstract
Purpose
Brain shift that occurs during neurosurgery disturbs the brain’s anatomy. Prediction of the brain shift is essential for accurate localisation of the surgical target. Biomechanical models have been envisaged as a possible tool for such predictions. In this study, we created a framework to automate the workflow for predicting intra-operative brain deformations.

Methods
We created our framework by uniquely combining our meshless total Lagrangian explicit dynamics (MTLED) algorithm for computing soft tissue deformations, open-source software libraries and built-in functions within 3D Slicer, an open-source software package widely used for medical research. Our framework generates the biomechanical brain model from the pre-operative MRI, computes brain deformation using MTLED and outputs results in the form of predicted warped intra-operative MRI.

Results
Our framework is used to solve three different neurosurgical brain shift scenarios: craniotomy, tumour resection and electrode placement. We evaluated our framework using nine patients. The average time to construct a patient-specific brain biomechanical model was 3 min, and that to compute deformations ranged from 13 to 23 min. We performed a qualitative evaluation by comparing our predicted intra-operative MRI with the actual intra-operative MRI. For quantitative evaluation, we computed Hausdorff distances between predicted and actual intra-operative ventricle surfaces. For patients with craniotomy and tumour resection, approximately 95% of the nodes on the ventricle surfaces are within two times the original in-plane resolution of the actual surface determined from the intra-operative MRI.

Conclusion
Our framework provides a broader application of existing solution methods not only in research but also in clinics. We successfully demonstrated the application of our framework by predicting intra-operative deformations in nine patients undergoing neurosurgical procedures.
Corporate digital responsibility (CDR) in Germany: background and first empirical evidence from DAX 30 companies in 2020
Authors: Merbecks Ute 
Published: April 2023

AbstractCorporate digital responsibility (CDR) is a recently developing new management concept in response to the increasing challenges caused by digital transformation. In Germany, this self-governance approach influenced the political discussions and led to a more integrative and collaborative multi-policy strategy beyond pure regulatory regimes. The launch of the German CDR-code by the German action group in June 2021 is a milestone to capture ethical problems in digitalised firms by voluntary commitments from signatories. However, little empirical evidence on the current state of CDR-initiatives at German corporations is available up-to now. This article addresses the identified research gap by performing a qualitative analysis of the disclosed information on CDR in nonfinancial reports of the DAX 30 companies from 2020. After a brief introduction, a literature review on CDR-related research activities is presented in Sect. 2, and the context and background of the study are specified. Section 3 presents the results of the empirical study on disclosed CDR-related information by German DAX 30 companies. Section 4 concludes with a discussion and discovers future research avenues on CDR. Corporate responsibility in the digital economy is a field of research that is open for different disciplines and especially theoretical normative research on CDR should be accelerated.
Exploring “big picture” scenarios for resilience in social–ecological systems: transdisciplinary cross-impact balances modeling in the Red River Basin
Authors: Lazurko Anita , Schweizer Vanessa , Armitage Derek 
Published: April 2023

AbstractClimate change is increasing the frequency and the severity of extreme events in river basins around the world. Efforts to build resilience to these impacts are complicated by the social–ecological interactions, cross-scale feedbacks, and diverse actor interests that influence the dynamics of change in social–ecological systems (SESs). In this study, we aimed to explore big-picture scenarios of a river basin under climate change by characterizing future change as emergent from interactions between diverse efforts to build resilience and a complex, cross-scale SES. To do so, we facilitated a transdisciplinary scenario modeling process structured by the cross-impact balances (CIB) method, a semi-quantitative method that applies systems theory to generate internally consistent narrative scenarios from a network of interacting drivers of change. Thus, we also aimed to explore the potential for the CIB method to surface diverse perspectives and drivers of change in SESs. We situated this process in the Red River Basin, a transboundary basin shared by the United States and Canada where significant natural climatic variability is worsened by climate change. The process generated 15 interacting drivers ranging from agricultural markets to ecological integrity, generating eight consistent scenarios that are robust to model uncertainty. The scenario analysis and the debrief workshop reveal important insights, including the transformative changes required to achieve desirable outcomes and the cornerstone role of Indigenous water rights. In sum, our analysis surfaced significant complexities surrounding efforts to build resilience and affirmed the potential for the CIB method to generate unique insights about the trajectory of SESs.
Representation Theorems for the Cauchy Transform in Weighted Bergman–Dirichlet Spaces
Authors: Thomaser T. 
Published: April 2023

AbstractIn this paper we analyse the integrability of Cauchy transforms of functions and measures. As an application of general Paley–Wiener theorems, we show that the integrability of the Cauchy transform of a function or measure is deeply related to the integrability of the Fourier transform of the corresponding function (measure). Our main results are representation theorems for the Cauchy transform in weighted spaces of Bergman–Dirichlet type.
What is Existence? A Matter of Co(n)text
Authors: Barbero Carola , Domaneschi Filippo , Enrici Ivan , Voltolini Alberto 
Published: April 2023

Abstract
In this paper, we present some experimental findings whose best explanation, first of all, provides a positive answer to a philosophical question in ontology as to whether, in the overall domain of beings, there are fictional characters (ficta) over and above concrete individuals. Moreover, since such findings arise out of different comparisons between fictional characters and concrete individuals on the one hand and fictional characters again and non-items that do not belong at all to such an overall domain on the other hand, they also suggest that ficta are allowed as inhabiting a particular subrealm of that domain distinct from the one inhabited by concrete individuals, as previous findings in cognitive psychology had suggested.
Dark-ego-vehicle principle: Narcissism as a predictor of anti-sexual assault activism
Authors: Bertrams Alex , Krispenz Ann 
Published: April 2023

AbstractIn this preregistered study, we tested the dark-ego-vehicle principle. This principle states that individuals with dark personalities, such as high narcissistic traits, are inclined to become involved in certain kinds of ideologies and political activism. We argue that narcissistic individuals can be attracted to anti-sexual assault activism because this form of activism may provide them with opportunities to obtain positive self-presentation (e.g., virtue signaling), gain status, dominate others, and engage in social conflicts to get their thrills. A diverse US sample (N = 313) completed online measures of narcissistic traits and involvement in anti-sexual assault activism. In addition, relevant covariates were assessed (i.e., age, gender, adult sexual assault history, sexual harassment myth acceptance, and altruism), and the interaction between narcissistic traits and gender was considered. The results of the multiple regression analysis showed that higher narcissistic traits predicted an individual’s higher involvement in anti-sexual assault activism over and above the covariates. However, this relationship was evident only for the women in this sample. Notably, a higher level of altruism in an individual was also substantially associated with higher involvement in anti-sexual assault activism. We discuss how the narcissism-by-gender interaction may be in line with the dark-ego-vehicle principle.
Drought hazards and stakeholder perception: Unraveling the interlinkages between drought severity, perceived impacts, preparedness, and management
Authors: Teutschbein Claudia , Albrecht Frederike , Blicharska Malgorzata , Tootoonchi Faranak , Stenfors Elin , Grabs Thomas 
Published: April 2023

AbstractThe future risk for droughts and water shortages calls for substantial efforts by authorities to adapt at local levels. Understanding their perception of drought hazards, risk and vulnerability can help to identify drivers of and barriers to drought risk planning and management in a changing climate at the local level. This paper presents a novel interdisciplinary drought case study in Sweden that integrates soft data from a nationwide survey among more than 100 local practitioners and hard data based on hydrological measurements to provide a holistic assessment of the links between drought severity and the perceived levels of drought severity, impacts, preparedness, and management for two consecutive drought events. The paper highlights challenges for drought risk planning and management in a changing climate at the local level and elaborates on how improved understanding of local practitioners to plan for climate change adaptation can be achieved.