bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tight lower bounds and optimal constructions of anonymous broadcast encryption and authentication
Authors: Kobayashi Hirokazu , Watanabe Yohei , Minematsu Kazuhiko , Shikata Junji 
Published: April 2023

AbstractBroadcast Encryption (BE) is public-key encryption allowing a sender to encrypt a message by specifing recipients, and only the specified recipients can decrypt the message. In several BE applications, since the privacy of recipients allowed to access the message is often as important as the confidentiality of the message, anonymity is introduced as an additional but important security requirement for BE. Kiayias and Samari (IH 2013) presented an asymptotic lower bound on the ciphertext sizes in BE schemes satisfying anonymity (ANO-BE for short). More precisely, their lower bound is derived under the assumption that ANO-BE schemes have a special property. However, it is insufficient to show their lower bound is asymptotically tight since it is unclear whether existing ANO-BE schemes meet the special property. In this work, we derive asymptotically tight lower bounds on the ciphertext size in ANO-BE by assuming only properties that most existing ANO-BE schemes satisfy. With a similar technique, we first derive asymptoticallyPlease provide MSC codes. For more details, please visit http://www.ams.org/msc/. tight lower bounds on the authenticator sizes in Anonymous Broadcast Authentication (ABA). Furthermore, we extend the above result and present (non-asymptotically) tight lower and upper bounds on thePlease check and confirm the Running title. ciphertext sizes in ANO-BE. We show that a variant of ANO-BE scheme proposed by Li and Gong (ACNS 2018) is optimal. We also provide tight bounds on the authenticator sizes in ABA via the same approach as ANO-BE, and propose an optimal construction for ABA.
Text Generation Benefits Learning: a Meta-Analytic Review
Authors: Schindler Julia , Richter Tobias 
Published: April 2023

AbstractLearning can be made more efficient when learners generate the to-be-learned text contents instead of passively receiving them. A multi-level meta-analysis was conducted to provide an overall estimate of the text generation effect’s magnitude and to identify theoretically and practically relevant moderators. Overall, generation interventions improved learning with texts compared to reading them (Hedges’g = .41). This benefit was not attributable to time-on-task and was found across several learning conditions and settings (e.g., narratives and expository texts, multiple generation, and learning assessment tasks). The meta-analysis further suggests that generation benefits learning most strongly if the cognitive processes stimulated by the generation task complement those processes already stimulated by the text. In sum, the findings suggest that text generation can be suitable for educational applications especially if certain conditions are observed.
The Unmeasurability of Absolute Velocities from the Point of View of Epistemological Internalism
Authors: Luc Joanna 
Published: April 2023

AbstractAbsolute velocities in Newtonian mechanics are commonly regarded as unmeasurable. Roberts (Br J Philos Sci 59(2):143–168, 2008) provides a justification for this thesis which appeals to the observational indistinguishability of boost-related models of Newtonian mechanics. Middleton and Murgueitio Ramírez (Australas J Philos, 2020) criticise his argumentation by pointing out that his analysis of the notion of measurement is too restrictive, and that, under a weaker analysis (based on counterfactuals), absolute velocities are measurable. Jacobs (Australas J Philos, 2020) opposes their view, arguing that, on a properly formulated counterfactual-based account of measurement, absolute velocities are unmeasurable. However, in his argument, observational indistinguishability plays no role, even though, intuitively, it is very relevant for the issue of (un)measurability. This paper’s aim is to bring observational indistinguishability back to this discussion. I build upon the observation that there is an analogy between possible views on knowledge and justification on the one hand, and on measurement on the other. In particular, I explore the distinction between externalist and internalist approaches. Counterfactual-based accounts are all externalist, whereas the observational indistinguishability of boost-related models becomes relevant if we are interested in an internalist concept of measurement.
Pitting Virtue Ethics Against Situationism: An Empirical Argument for Virtue
Authors: de Bruin Boudewijn , Zaal Raymond , Jeurissen Ronald 
Published: April 2023

AbstractSituationists maintain that psychological evidence (e.g., the well-known Good Samaritan experiment) challenges a key assumption of virtue ethics, namely that virtuous people display cross-situational consistency of behavior. This situationist critique is frequently thought to pose a serious threat to virtue ethics. Virtue ethicists have so far mainly put forward conceptual rather than empirical arguments against situationism. In this paper, we examine the extent to which a plausible empirical argument can be developed against situationism, and in favor of virtue ethics. We note that such an argument will naturally entail empirical simplification, and consequently concessions from both sides of the debate will be required. We argue, however, that with such concessions in place, the debate between situationists and virtue ethicists can be captured by a claim about the way that virtuous behavior may change when situations change. We report the results of an experiment (conducted twice, for replication) showing how social science methods can be introduced to the situationism debate to test such a claim empirically. Our results offer tentative support for eudaemonist and agent-based varieties (but not for target-centered) versions of virtue ethics.
A marginal modelling approach for predicting wildfire extremes across the contiguous United States
Authors: D’Arcy Eleanor , Murphy-Barltrop Callum J. R. , Shooter Rob , Simpson Emma S. 
Published: April 2023

AbstractThis paper details a methodology proposed for the EVA 2021 conference data challenge. The aim of this challenge was to predict the number and size of wildfires over the contiguous US between 1993 and 2015, with more importance placed on extreme events. In the data set provided, over 14% of both wildfire count and burnt area observations are missing; the objective of the data challenge was to estimate a range of marginal probabilities from the distribution functions of these missing observations. To enable this prediction, we make the assumption that the marginal distribution of a missing observation can be informed using non-missing data from neighbouring locations. In our method, we select spatial neighbourhoods for each missing observation and fit marginal models to non-missing observations in these regions. For the wildfire counts, we assume the compiled data sets follow a zero-inflated negative binomial distribution, while for burnt area values, we model the bulk and tail of each compiled data set using non-parametric and parametric techniques, respectively. Cross validation is used to select tuning parameters, and the resulting predictions are shown to significantly outperform the benchmark method proposed in the challenge outline. We conclude with a discussion of our modelling framework, and evaluate ways in which it could be extended.
Decision support for managing assortments, shelf space, and replenishment in retail
Authors: Hübner Alexander , Kuhn Heinrich 
Published: April 2023

AbstractEfficiently managing retail space is critical as the increase in product variety is in conflict with limited shelf space and instore replenishment constraints. This paper develops a general framework for retail space management and presents a decision support model with the related problems within the framework of optimizing assortment, shelf space assignment and replenishment. An integrative approach to these planning problems becomes particularly relevant for fast-moving consumer goods and groceries, where stores are regularly replenished from distribution centers. The planning problem at hand is a multi-product shelf space allocation problem where demand is a composite function of the shelf space allocated and assortment-related demand substitution, and actual replenishment practices from retail are incorporated. The model developed extends existing models of shelf space management by jointly considering space-elastic demand and assortment-based substitution and integrating restocking constraints. For the latter, we consider real-world replenishment processes of retailers that distinguish between period-based and ad-hoc replenishment from the backroom. We develop three solution approaches that are based on efficient pre-processing and a nonlinear binary integer programming formulation of the problem. The computation tests based on retail data show the efficiency of the solution approaches in terms of computation time and solution quality. We reveal the improvement in profit levels that can be achieved from integrating assortments, shelf space planning and replenishment where challenges arise in obtaining feasible solutions with limited shelf space and replenishment constraints. We also use sensitivity analyses to demonstrate the high impact of replenishment constraints on profits and solution structures.
Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets
Authors: Sandven Stein , Spreen Gunnar , Heygster Georg , Girard-Ardhuin Fanny , Farrell Sinéad L. , Dierking Wolfgang , Allard Richard A. 
Published: April 2023

AbstractSea ice monitoring by polar orbiting satellites has been developed over more than four decades and is today one of the most well-established applications of space observations. This article gives an overview of data product development from the first sensors to the state-of-the-art regarding retrieval methods, new products and operational data sets serving climate monitoring as well as daily operational services including ice charting and forecasting. Passive microwave data has the longest history and represents the backbone of global ice monitoring with already more than four decades of consistent observations of ice concentration and extent. Time series of passive microwave data is the primary climate data set to document the sea ice decline in the Arctic. Scatterometer data is a valuable supplement to the passive microwave data, in particular to retrieve ice displacement and distinguish between firstyear and multiyear ice. Radar and laser altimeter data has become the main method to estimate sea ice thickness and thereby fill a gap in the observation of sea ice as an essential climate variable. Data on ice thickness allows estimation of ice volume and masses as well as improvement of the ice forecasts. The use of different altimetric frequencies also makes it possible to measure the depth of the snow covering the ice. Synthetic Aperture Radar (SAR) has become the work horse in operational ice observation on regional scale because high-resolution radar images are delivered year-round in nearly all regions where national ice services produce ice charts. Synthetic Aperture Radar data are also important for sea ice research because the data can be used to observe a number of sea ice processes and phenomena, like ice type development and sea ice dynamics, and thereby contribute to new knowledge about sea ice. The use of sea ice data products in modelling and forecasting services as well as in ice navigation is discussed. Finally, the article describes future plans for new satellites and sensors to be used in sea ice observation.
Effects of raw and hydrolysed Nannochloropsis gaditana biomass included at low level in finishing diets for gilthead seabream (Sparus aurata) on fillet quality and shelf life
Authors: Sáez M. I. , Galafat A. , Suárez M. D. , Chaves-Pozo E. , Arizcun M. , Ayala M. D. , Alarcón F. J. , Martínez T. F. 
Published: April 2023

AbstractNumerous studies evaluating the effects of the incorporation of microalgae in feeds have reported favourable impacts on different physiological aspects of aquacultured fish. Although productivity is the major goal in terms of profitability in fish farming, qualitative aspects are gaining the attention of producers, given the relevance of quality attributes related to organoleptic parameters, proximal composition, and shelf life on the commercial value of fish. Indeed, microalgae are acknowledged for their richness in substances with potential positive effects on all those quality attributes. In this context, this study assesses the effects of finishing diets enriched with the microalga Nannochloropsis gaditana, either crude or enzymatically hydrolysed, on several quality parameters of gilthead seabream (Sparus aurata) fillets. Two inclusion levels (2.5 and 5%) of raw and enzymatically hydrolysed microalgal biomass were incorporated into diets, plus a microalgae-free control diet, and a 42-day feeding trial was carried out on fish of commercial size (approx. 500 g body weight). The influence of the experimental diets on fish biometry, fillet quality parameters, and shelf life was evaluated. The results indicate, overall, that microalgae-enriched diets yielded favourable, dose-dependent effects on several objective quality parameters of fillets, namely, improved fatty acid profile, reduced microbial counts, enhanced lipid oxidative status, and improved textural and skin colour attributes. Although the enzymatic pre-treatment of the microalgal biomass was expected to impact positively its functional effects on all quality parameters, however, no general trend was observed.
Robust Non-Contact Monitoring of Respiratory Rate using a Depth Camera
Authors: Addison Paul S , Antunes André , Montgomery Dean , Smit Philip , Borg Ulf R. 
Published: April 2023

AbstractPurposeRespiratory rate (RR) is one of the most common vital signs with numerous clinical uses. It is an important indicator of acute illness and a significant change in RR is often an early indication of a potentially serious complication or clinical event such as respiratory tract infection, respiratory failure and cardiac arrest. Early identification of changes in RR allows for prompt intervention, whereas failing to detect a change may result in poor patient outcomes. Here, we report on the performance of a depth-sensing camera system for the continuous non-contact ‘touchless’ monitoring of Respiratory Rate.MethodsSeven healthy subjects undertook a range of breathing rates from 4 to 40 breaths-per-minute (breaths/min). These were set rates of 4, 5, 6, 8, 10, 15, 20, 25, 30, 35 and 40 breaths/min. In total, 553 separate respiratory rate recordings were captured across a range of conditions including body posture, position within the bed, lighting levels and bed coverings. Depth information was acquired from the scene using an Intel D415 RealSenseTMcamera. This data was processed in real-time to extract depth changes within the subject’s torso region corresponding to respiratory activity. A respiratory rate RRdepthwas calculated using our latest algorithm and output once-per-second from the device and compared to a reference.ResultsAn overall RMSD accuracy of 0.69 breaths/min with a corresponding bias of -0.034 was achieved across the target RR range of 4–40 breaths/min. Bland-Altman analysis revealed limits of agreement of -1.42 to 1.36 breaths/min. Three separate sub-ranges of low, normal and high rates, corresponding to < 12, 12–20, > 20 breaths/min, were also examined separately and each found to demonstrate RMSD accuracies of less than one breath-per-minute.ConclusionsWe have demonstrated high accuracy in performance for respiratory rate based on a depth camera system. We have shown the ability to perform well at both high and low rates which are clinically important.
On the study of multistage stochastic vector quasi-variational problems
Authors: Molho Elena , Scopelliti Domenico 
Published: April 2023

AbstractThis paper focuses on the study of multistage stochastic vector generalized quasi-variational inequalities with a variable ordering structure. The proposed multistage stochastic vector quasi-variational problems are defined in a suitable functional setting relative to a finite set of final possible states and certain information fields; these formulations are a multicriteria extension of the multistage stochastic variational inequalities. A relevant aspect of these problems is the presence of the nonanticipativity constraints on the variables of the problem; stage by stage, these constraints impose the measurability with respect to the information field at that stage. Without requiring any assumption of monotonicity, we prove some existence results by using a nonlinear scalarization technique. On this basis, we analyze multistage stochastic vector Nash equilibrium problems: as an example, we focus on a suitable multistage stochastic bicriteria Cournot oligopolistic model.
The Curious Case of 1-Ethylpyridinium Triflate: Ionic Liquid Exhibiting the Mpemba Effect
Authors: Chorążewski Mirosław , Wasiak Michał , Sychev Alexander V. , Korotkovskii Vadim I. , Postnikov Eugene B. 
Published: April 2023

AbstractHere, we report the results of qualitative and quantitative investigations of the first-order phase transition in the ionic liquid 1-ethylpyridinium triflate exhibiting a high variability of temperature ranges, within which the freezing and melting occur. By two methods, the direct fast quenching/annealing and the slow temperature-controlled differential scanning calorimeter, it is revealed that despite the almost constant absolute enthalpies of phase transition, the freezing occurs faster with the larger temperature contrast (cooling rate) between the initially hotter sample and the colder surrounding. This feature is a clear exhibition of the Mpemba effect. The regularity in the change of the melting point is analyzed as well.
Memento: a prototype search engine for LSC 2021
Authors: Alam Naushad , Graham Yvette 
Published: April 2023

AbstractIn this extended paper, we describe our lifelog retrieval system called Memento which participated in the 2021 Lifelog Search Challenge in detail. Memento leverages semantic representations of images and textual queries projected into a common latent space to facilitate effective retrieval, aiming to bridge the existing semantic gap between complex visual scenes/events and user information needs expressed as textual and faceted queries. Our system also has a minimalist user interface which includes functionalities such as visual data filtering and temporal search. Finally, we include a comparative analysis of Memento’s performance at LSC 2021 and suggest improvements for future iterations of the system.
Key Technologies for Networked Virtual Environments
Authors: González Salinas Juan , Boronat Seguí Fernando , Sapena Piera Almanzor , Pastor Castillo Francisco Javier 
Published: April 2023

AbstractThanks to the improvements experienced in technology during the last few years, most especially in virtual reality systems, the number and potential of networked virtual environments or NVEs and their users have been increasing. NVEs aim to give distributed users a feeling of immersion in a virtual world and the possibility of interacting with other users or with virtual objects inside it, just like when they interact in the real world. Being able to provide that feeling and natural interactions when the users are geographically separated is one of the goals of these systems. Nevertheless, this goal is especially sensitive to different issues, such as different connections with heterogeneous throughput or particular network latencies, which can lead to consistency and synchronization problems and, thus, to a worsening of the users’ quality of experience or QoE. With the purpose of solving these issues, researchers have proposed and evaluated numerous technical solutions, in fields like network architectures, data distribution and filtering, resource balancing, computing models, predictive modeling and synchronization in NVEs. This paper gathers and classifies them, summarizing their advantages and disadvantages, using a new way of classification. With the current increase in the number of NVEs and the multiple solutions proposed so far, this paper aims to become a useful tool and a starting point not only for future researchers in this field but also for those who are new to NVEs development, in which guaranteeing a good users’ QoE is essential.
OCDMA transmission-based underwater wireless optical communication system: performance analysis
Authors: El-Mottaleb Somia A. Abd , Singh Mehtab , Atieh Ahmad , Aly Moustafa H. 
Published: April 2023

AbstractThis paper introduces a novel underwater (UW) optical communication system that utilizes optical code division multiple access transmission technique using the permutation vector code. Three scenarios of water are considered, pure sea (PS), clear ocean (CL), and coastal ocean (CO). The performance is evaluated analytically in terms of bit error rate (BER), received power, signal to noise ratio for different UW links and data rates. The results show that the shortest UW range is achieved in the case of CO, achieving the highest extinction ratio compared to CL and PS. Considering a BER below the forward error correction (FEC) limit of 3 × $${10}^{-3}$$

10

-
3

, the maximum UW ranges reached are 21 m for PS, 12 m for CL, and 8 m for CO at 3 Gbps with 20 dBm transmitted power. The propagation range could be increased when the transmitted power is increased to 25 dBm, achieving the ranges of 31 m, 18 m, and 9 m, for PS, CL, and CO, respectively.
Spectral behavior of high-power distributed feedback lasers
Authors: Reggentin Matthias , Koester Jan-Philipp , Wenzel Hans , Knigge Andrea 
Published: April 2023

AbstractThe mode hopping behavior of high-power distributed feedback lasers emitting near $$780\,\hbox {nm}$$

780

nm

is studied. The lasers have highly reflective rear and anti-reflection coated front facets. The influence of the phase of the grating at the rear facet is investigated by means of numerical simulations in the time domain taking into account spatial hole burning and self-heating effects. The simulation results are in agreement with experimental findings.
Detachment of a Rigid Flat Punch from a Viscoelastic Material
Authors: Papangelo Antonio , Ciavarella Michele 
Published: April 2023

AbstractWe show that the detachment of a flat punch from a viscoelastic substrate has a relatively simple behaviour, framed between the Kendall’s elastic solution at the relaxed modulus and at the instantaneous modulus, and the cohesive strength limit. We find hardly any dependence of the pull-off force on the details of the loading process, including maximum indentation at preload and loading rate, resulting much simpler than the case of a spherical punch. Pull-off force peaks at the highest speeds of unloading, when energy dissipation is negligible, which seems to be in contrast with what suggested by the theories originated by de Gennes of viscoelastic semi-infinite crack propagation which associated enhanced work of adhesion to dissipation.Graphical abstract