bluuebunny/crossref_metadata_2025_split huggingface dataset:
Socializing the political: rethinking filter bubbles and social media with Hannah Arendt
Authors: Daus Zachary 
Published: March 2024

AbstractIt is often claimed that social media accelerate political extremism by employing personalization algorithms that filter users into groups with homogenous beliefs. While an intuitive position, recent research has shown that social media users exhibit self-filtering tendencies. In this paper, I apply Hannah Arendt’s theory of political judgment to hypothesize a cause for self-filtering on social media. According to Arendt, a crucial step in political judgment is the imagination of a general standpoint of distinct yet equal perspectives, against which individuals compare their own judgments in order to test their defensibility. I argue that social media inhibit this step by gamifying the pursuit of social status, which encourages users to consider the perspectives of others not for the sake of a general standpoint but for the sake of improving their social status, resulting in self-filtering. Consequently, ameliorating political extremism on social media requires not just reforming the algorithms that deliver content to users, but the interfaces on which users present their social identities.
Forward modelling low-spectral-resolution Cassini/CIRS observations of Titan
Authors: Wright Lucy , Teanby Nicholas A. , Irwin Patrick G. J. , Nixon Conor A. 
Published: March 2024

AbstractThe Composite InfraRed Spectrometer (CIRS) instrument onboard the Cassini spacecraft performed 8.4 million spectral observations of Titan at resolutions between 0.5–15.5 cm$$^{\varvec{-1}}$$

-
1

. More than 3 million of these were acquired at a low spectral resolution (SR) (13.5–15.5 cm$$^{\varvec{-1}}$$

-
1

), which have excellent spatial and temporal coverage in addition to the highest spatial resolution and lowest noise per spectrum of any of the CIRS observations. Despite this, the CIRS low-SR dataset is currently underused for atmospheric composition analysis, as spectral features are often blended and subtle compared to those in higher SR observations. The vast size of the dataset also poses a challenge as an efficient forward model is required to fully exploit these observations. Here, we show that the CIRS FP3/4 nadir low-SR observations of Titan can be accurately forward modelled using a computationally efficient correlated-$$\varvec{k}$$

k

method. We quantify wavenumber-dependent forward modelling errors, with mean 0.723 nW cm$$^{\varvec{-2}}\,$$

-
2

sr$$^{\varvec{-1}}$$

-
1

/cm$$^{\varvec{-1}}$$

-
1

(FP3: 600–890 cm$$^{\varvec{-1}}$$

-
1

) and 0.248 nW cm$$^{\varvec{-2}}\,$$

-
2

sr$$^{\varvec{-1}}\,$$

-
1

/ cm$$^{\varvec{-1}}$$

-
1

(FP4: 1240–1360 cm$$^{\varvec{-1}}$$

-
1

), that can be used to improve the rigour of future retrievals. Alternatively, in cases where more accuracy is required, we show observations can be forward modelled using an optimised line-by-line method, significantly reducing computation time.
Exploring Factors of Diagnostic Timing Among Black Autistic Youth
Authors: Onovbiona Harlee , Quetsch Lauren , Del Rosario Emily-Anne 
Published: March 2024

AbstractThe goal of the present study was to compare profiles among Black families of autistic youth who were identified Early (≤ 2 years of age), Mid (age 3 or 4), and Delayed (≥ 5 years of age) to better identify the characteristics that contribute to early ASD identification and delayed ASD identification. Black caregivers with autistic youth (N = 101) were divided into Early (N = 34), Mid (N = 39), and Delayed (N = 28) groups and compared on (a) the age at which signs of autism signs were first noticed, (b) wait times, (c) previous misdiagnoses rates, and (d) racial barriers experienced during the diagnostic process. The results revealed differences between the diagnostic profiles. Specifically, (a) Delayed families noticed the first signs of autism significantly later, (b) Early families had significantly smaller wait times between age of noticing signs of autism and age of receiving the diagnosis, (c) the odds of receiving a later or delayed autism diagnosis was nearly three times higher for caregivers who reported receiving a misdiagnosis, and (d) there were no significant differences in racial barriers experienced between Early, Mid, and Delayed families. Challenges in receiving a timely diagnosis remain for some Black autistic youth. To improve early identification for Black autistic youth who are at risk for receiving delayed diagnostic care, further research should examine factors and practices that improve autism knowledge among professionals and caregivers, enhance assessment practices, and integrate culturally responsive practices into assessment and screening procedures.
Comparison of different methods for extraction of phycocyanin from the cyanobacterium Arthrospira maxima (Spirulina)
Authors: Kuhnholz Jan , Glockow Till , Siebecke Verena , Le Anh Thu , Tran Long-Dinh , Noke Anja 
Published: March 2024

AbstractPhycocyanin is an interesting alternative to synthetic food colorants. Various methods to obtain phycocyanin from Arthrospira (Spirulina) biomass have been described in the literature, including ultrasonication, glass bead extraction and freeze-thawing. In this study, three optimized procedures were implemented to assess their efficacy in obtaining phycocyanin from Arthrospira maxima biomass, facilitating a comparative analysis of their effectiveness. After harvesting the biomass, extraction processes were conducted utilizing ultrasonication followed by flocculation with chitosan in various organic acid solutions, as well as glass bead extraction and freeze-thawing techniques, each followed by centrifugation. The obtained extracts were analyzed spectrophotometrically across the wavelength range of 280 to 800 nm. The freeze-thawing method yielded the highest C-PC contents at 17.03 ± 0.53%, followed closely by the ultrasonication method at 15.21 ± 0.41%. The highest purity of 2.02 ± 0.01 was attained through ultrasonication and subsequent flocculation with chitosan in acetic acid. Conversely, employing chitosan dissolved in citric or lactic acid for flocculation resulted in greenish extracts containing high amounts of chlorophyll.
The effects of freezing and thawing on Alaria esculenta
Authors: Sund Randi , Rustad Turid , Duinker Arne , Skipnes Dagbjørn 
Published: March 2024

AbstractSeaweeds must be stabilised shortly after harvesting to avoid rapid deterioration. To handle large amounts harvested during a short period, freezing and frozen storage until utilisation or further processing is one of the methods used industrially. The aim of this study was to assess the effects of different freezing and thawing procedures on Alaria esculenta by analysis of the chemical composition of the seaweed and the drip loss expelled during thawing. Thawing of industrially frozen A. esculenta resulted in a drip loss of 57% of wet weight. The drip loss had a dry matter content of 7% of wet weight, of which 71% was mineral content. Analysis showed that, of the dry matter excluding ash, alanine, aspartic acid, and mannitol were the main components lost to the drip loss. Experiments with a second batch of A. esculenta looking at quick and slow freezing and thawing showed that quick freezing resulted in a significantly lower drip loss than slow freezing; 20% compared to up to 42% of wet weight. Dry matter and mineral content of the drip loss of these samples were all around 6% of wet weight and 31% of dry weight. For some applications it might be of interest to reduce the concentration of potentially toxic elements such as iodine and heavy metals, but due to a high loss of other biomass this was not very effectively done by freezing and thawing. For preservation purposes, quick freezing is the best alternative to retain seaweed biomass.
Investigating and Reducing the Architectural Impact of Transient Faults in Special Function Units for GPUs
Authors: Rodriguez Condia Josie E. , Guerrero-Balaguera Juan-David , Patiño Núñez Edwar J. , Limas Robert , Sonza Reorda Matteo 
Published: March 2024

AbstractEnsuring the reliability of GPUs and their internal components is paramount, especially in safety-critical domains like autonomous machines and self-driving cars. These cutting-edge applications heavily rely on GPUs to implement complex algorithms due to their implicit programming flexibility and parallelism, which is crucial for efficient operation. However, as integration technologies advance, there is a growing concern regarding the potential increase in fault sensitivity of the internal components of current GPU generations. In particular, Special Function Unit (SFU) cores inside GPUs are used in multimedia, High-Performance Computing, and neural network training. Despite their frequent usage and critical role in several domains, reliability evaluations on SFUs and the development of effective mitigation solutions have yet to be studied and remain unexplored. This work evaluates the impact of transient faults in the main hardware structures of SFUs in GPUs. In addition, we analyze the main overhead costs and benefits of developing selective-hardening mechanisms for SFUs. We focus on evaluating and analyzing two SFU architectures for GPUs (’fused’ and ’modular’) and their relations to energy, area, and reliability impact on parallel applications. The experiments resort to fine-grain fault injection campaigns on an RTL GPU model (FlexGripPlus) instrumented with both SFUs. The results on both SFU architectures indicate that fused SFUs (in commercial-grade devices) require lower area overhead (about 27%) for their integration in GPUs but are more vulnerable to transient faults (in up to 47% for the analyzed cases) and less power efficient (in up to 36.6%) than modular SFUs. Moreover, the reliability estimation shows that Modular SFUs are structurally more resilient than Fused ones in up to one order of magnitude. Similarly, selective-hardening mechanism based on Triple-Modular Redundancy (TMR) shows that coarse-grain strategies might increase the reliability of the overall SFUs under feasible overhead costs.
The spider fauna of Danish coastal dune habitats revisited after 25 years: evidence of faunistic impoverishment
Authors: Toft Søren , Gajdoš Peter 
Published: March 2024

Abstract
Arthropod faunas have become impoverished in recent years in abundance as well as in diversity, but so far little evidence exists concerning spiders. In 2022, we repeated pitfall trap collections of spider assemblages completed 25 years previously in coastal dune habitats of the Hanstholm Reserve of National Park Thy, Denmark. Traps were placed approximately at the same spots, i.e. the habitats (white dune, grey dune, dry dune heathland, wet dune heathland, low pine plantation) were represented approximately as before. Contrary to most previous reports of insect decline, we found only weak evidence of reduction in abundance, but strong indications of reductions in faunistic value based on changes in ecological traits. Within the same period of spring and with the same number of traps, we collected 12% fewer spider individuals and 13% fewer species; rarefaction indicated that the lowered species richness was real. Species diversity had decreased and dominance increased. Changes in indices of ecological traits showed that the fauna had changed into decreased contribution of habitat specialists and species of restricted Danish distribution; the proportion of aeronauts had increased; the average body size had decreased. Indices of assemblage microclimatic niche positions and niche widths showed increased representation of shade and humidity loving species. Most of these changes were repeated in each of the habitats. Finally, we found evidence of a phenological shift towards activity earlier in spring in some species.

Implications for insect conservation
We discuss possible management measures to counteract the observed trend towards reduced faunistic value.
Performance Guarantee for Autonomous Robotic Missions using Resource Management: The PANORAMA Approach
Authors: Lambert Philippe , Godary-Dejean Karen , Lapierre Lionel , Jaiem Lotfi , Crestani Didier 
Published: March 2024

AbstractThis paper proposes the PANORAMA approach, which is designed to dynamically and autonomously manage the allocation of a robot’s hardware and software resources during fully autonomous mission. This behavioral autonomy approach guarantees the satisfaction of the mission performance constraints. This article clarifies the concept of performance for autonomous robotic missions and details the different phases of the PANORAMA approach. Finally, it focuses on an experimental implementation on a patrolling mission example.
Role of the plasticizers on the crystallization of PLA and its composites with mesoporous MCM-41
Authors: Blázquez-Blázquez Enrique , Barranco-García Rosa , Díez-Rodríguez Tamara M. , Cerrada María L. , Pérez Ernesto 
Published: March 2024

AbstractSeveral materials were prepared by melt extrusion, based on an L-rich polylactide (PLA), as polymeric matrix, acetyl tri-n-butyl citrate (ATBC) or trioctyl trimellitate (TOTM), as plasticizer, and mesoporous MCM-41 particles, playing a nucleant role. Influence of the addition of these nucleating particles, together with the comparative effect of the two plasticizers, has been thoroughly evaluated on the features of the several phase transitions existing in the PLA polymeric matrix (glass transition, cold crystallization, α′ to α transition, melting processes and melt crystallization) as well as on the rate of PLA crystallization. The window where this ordering process can take place is shifted down to lower temperatures for these binary and ternary systems and the range of temperatures at which the α′ and α polymorphs crystallize under isothermal crystallization from the glassy state significantly changes in the materials containing ATBC as plasticizer, either the binary or ternary ones. Type of the major crystalline lattice developed at 85 and 110 °C has been confirmed, additionally to the DSC experiments, by FTIR spectroscopy.
Graphical abstract
Exploring the morphological surface resistance and optical absorption of thin black carbon nanotube films for electronic and optoelectronic devices
Authors: Abdellatif Sameh O. , Khalifa Ziad 
Published: March 2024

AbstractThis study investigates the optical and electrical properties of thin black films of carbon nanotubes (CNTs) fabricated under various conditions to explore their potential integration as either a perfect broadband absorber or enhanced counter electrode. The study involves SEM measurements, surface resistance measurements, and UV–Vis. spectrometer analysis. The results show that the CNT thin films exhibit high electrical conductivity and strong light absorption across various wavelengths. Optically, we investigated the impact of varying the growth temperature and catalyst temperature on the absorption profile of the thin films. The fabricated and deposited CNTs showed broadband absorption spectra, reaching 92.8% of the commercial reference sample, covering both visible and near-infrared spectra. Alternatively, the morphological surface resistance for the CNT thin films recorded agonist commercial CNT samples and FTO-coated glass. An average surface resistance of 20.5 Ω/Sq.
Non-invasive technology for brain monitoring: definition and meaning of the principal parameters for the International PRactice On TEChnology neuro-moniToring group (I-PROTECT)
Authors: Romagnoli Stefano , Lobo Francisco A. , Picetti Edoardo , Rasulo Frank A. , Robba Chiara , Matta Basil 
Published: March 2024

AbstractTechnologies for monitoring organ function are rapidly advancing, aiding physicians in the care of patients in both operating rooms (ORs) and intensive care units (ICUs). Some of these emerging, minimally or non-invasive technologies focus on monitoring brain function and ensuring the integrity of its physiology. Generally, the central nervous system is the least monitored system compared to others, such as the respiratory, cardiovascular, and renal systems, even though it is a primary target in most therapeutic strategies. Frequently, the effects of sedatives, hypnotics, and analgesics are entirely unpredictable, especially in critically ill patients with multiple organ failure. This unpredictability exposes them to the risks of inadequate or excessive sedation/hypnosis, potentially leading to complications and long-term negative outcomes. The International PRactice On TEChnology neuro-moniToring group (I-PROTECT), comprised of experts from various fields of clinical neuromonitoring, presents this document with the aim of reviewing and standardizing the primary non-invasive tools for brain monitoring in anesthesia and intensive care practices. The focus is particularly on standardizing the nomenclature of different parameters generated by these tools. The document addresses processed electroencephalography, continuous/quantitative electroencephalography, brain oxygenation through near-infrared spectroscopy, transcranial Doppler, and automated pupillometry. The clinical utility of the key parameters available in each of these tools is summarized and explained. This comprehensive review was conducted by a panel of experts who deliberated on the included topics until a consensus was reached. Images and tables are utilized to clarify and enhance the understanding of the clinical significance of non-invasive neuromonitoring devices within these medical settings.
Solving Minimal Residual Methods in $$W^{-1,p'}$$ with Large Exponents p
Authors: Storn Johannes 
Published: March 2024

AbstractWe introduce a numerical scheme that approximates solutions to linear PDE’s by minimizing a residual in the $$W^{-1,p'}(\Omega )$$

W

-
1
,

p
′

(
Ω
)

norm with exponents $$p> 2$$

p
>
2

. The resulting problem is solved by regularized Kačanov iterations, allowing to compute the solution to the non-linear minimization problem even for large exponents $$p\gg 2$$

p
≫
2

. Such large exponents remedy instabilities of finite element methods for problems like convection-dominated diffusion.
Entrepreneurial universities and the third mission paradigm shift from economic performance to impact entrepreneurship: Germany’s EXIST program and ESG orientation
Authors: Lehmann Erik E. , Otto Jonah M. , Wirsching Katharine 
Published: March 2024

AbstractThe proliferation and intensity of modern grand challenges, and the current broad public awareness of them, has resulted in a demand for entrepreneurship with an eye toward environmental, social and governance (ESG) matters, not just profits and economic gain. When it comes to economic applications, this realigned focus on impact-oriented entrepreneurship has significantly altered the way in which entrepreneurial universities address their third mission of service to society. The overall paradigm shift toward an ESG orientation drives these entrepreneurial universities to structure their efforts in technology transfer and creating academic spinoffs to produce startups which heavily employ impact entrepreneurship and ESG principles. This paper finds that governments can assist with this transition by creating funding programs, or updating existing funding programs, which favor the selection of impact entrepreneurship focused spinoffs that make use of ideas and knowledge from the university sphere. The EXIST program from the German government serves as a prime example of just such a financial mechanism that has evolved across multiple decades to more heavily incentivize academic spinoffs that place ESG at the core of what they do, in addition to the original goals of producing economic and technological development and increasing local, regional and national competitiveness. These findings bear implications for government and university leaders in regard to technology transfer policy and academic spinoffs at entrepreneurial universities.
Modified Barnacles Mating Optimizing Algorithm for the Inversion of Self-potential Anomalies Due to Ore Deposits
Authors: Ai Hanbing , Ekinci Yunus Levent , Balkaya Çağlayan , Alvandi Ahmad , Ekinci Rezzan , Roy Arka , Su Kejia , Pham Luan Thanh 
Published: March 2024

AbstractThe self-potential method (SP) has been used extensively to reveal some model parameters of various ore deposits. However, estimating these parameters can be challenging due to the mathematical nature of the inversion process. To address this issue, we propose here a novel global optimizer called the Modified Barnacles Mating Optimizer (MBMO). We improved upon the original approach by incorporating a variable genital length strategy, a novel barnacle offspring evolving method, and an out-of-bounds correction approach. The MBMO has not been previously applied to geophysical anomalies. Prior to inversion of real data sets, modal and sensitivity Analyzes were conducted using a theoretical model with multiple sources. The Analyzes revealed that the problem is modal in nature, model parameters have varying levels of sensitivity, and an algorithm that can well balance global exploration with local exploitation is required to solve this problem. The MBMO was tested on theoretical SP anomalies and four real datasets from Türkiye, Canada, India, and Germany. Its performance was compared to the original version under equal conditions. Uncertainty determination studies were carried out to comprehend the reliability of the solutions obtained via both algorithms. The findings indicated clearly that the MBMO outperformed its original version in estimating the model parameters from SP anomalies. The modifications presented here improved its ability to search for the global minimum effectively. In addition to geophysical datasets, experiments with 11 challenging benchmark functions demonstrated the advantages of MBMO in optimization problems. Theoretical and field data applications showed that the proposed algorithm can be used effectively in model parameter estimations from SP anomalies of ore deposits with the help of total gradient anomalies.
Literary theory between contingency and contiguity: Yakov Druskin’s “Law of Heterogeneity”
Authors: Strätling Susanne 
Published: March 2024

AbstractThe notion of chance epitomizes the limits and challenges of any theory’s struggle for control over itself as well as over its objects. Although contemporary literary theory has adapted its terminology and conceptual framework in line with the emergence of dynamic, “open forms” (Wölfflin in Principles of art history: The problem of the development of style in later art, Dover Publications Inc, New York, 1986), chance has nevertheless remained a highly problematic category to come to terms with. How can literary theory embrace chance? The paper approaches this question in three steps. First, it reconstructs three basic poetological propositions against whose backdrop contingency gains profile: the proposition of causal connections as a means to transform literature into a realm of necessity, the proposition of form as means to reduce arbitrariness, and the proposition of control as a means to protect the aesthetic object against the risks of external intrusions. The second part of the paper discusses a largely forgotten but highly relevant approach to the problem of contingency by Yakov Druskin. Druskin links the function of contingency in theoretical investigation with concepts of contiguity and proximity, first of all touch. His fragmentary sketch of a “law of heterogeneity” represents a paradoxical attempt to theorize contingent obstruction as a privileged systematic device to establish physical contact. The third part of this paper unpacks the implicit urge to rethink the traditions of theory formation itself through the “law of heterogeneity.” It argues that Druskin’s law introduces a different type of theory, one which is deeply indebted to the tactile, thus challenging the ocularcentrism of theoría.