bluuebunny/crossref_metadata_2025_split huggingface dataset:
Access, Choice, and Pleasure: Towards a New Model of Disability Sexual Rights
Authors: Pikkel Rina B. 
Published: September 2024

AbstractThe paper offers a comprehensive exploration of the concept of disability sexual rights by integrating insights from both legal and sociological frameworks. Sexuality is an integral and inseparable part of human existence, encompassing a wide range of biological, physiological, psychological, and social aspects. Our understanding of sexuality developed over time, and contemporary social models view sexuality as shaped by social, cultural, and political factors. The rise of disability studies and social and critical models marked a significant shift in the way disabled sexuality is perceived. These studies underpin social aspects and constructions that contribute to the disabling process. Current Literature situates disability and sexuality within broader sociological frameworks of sexual citizenship, disability legal studies, and human rights, emphasizing the importance of recognizing disability sexual rights in forming an inclusive society. We examine the evolution of human rights discourse, mainly focusing on disability sexual rights as a marginalized subject within the human rights and disability rights agendas. We conclude by weaving together theories from disability studies, sexual citizenship, and law, proposing a new theoretical model of sexual rights that situates them in the intersection of disability, sexuality, law, and society. The model suggests three essential elements that cover the full scope of disability sexual rights: Access, choice, and pleasure. These elements can be applied to all aspects of disabled sexuality, encompassing sexual needs, participation, and autonomy.
Timing-aware analysis of shared cache interference for non-preemptive scheduling
Authors: Fischer Thilo L. , Falk Heiko 
Published: September 2024

AbstractIn multi-core architectures, the last-level cache (LLC) is often shared between cores. Sharing the LLC leads to inter-core interference, which impacts system performance and predictability. This means that tasks running in parallel on different cores may experience additional LLC misses as they compete for cache space. To compute a task’s worst-case execution time (WCET), a safe bound on the inter-core cache interference has to be determined. We propose an interference analysis for set-associative shared least-recently-used caches. The analysis leverages timing information to establish tight bounds on the worst-case interference and classifies individual accesses as either cache hits or potential cache misses. We evaluated the analysis performance for systems containing 2 and 4 cores using shared caches up to 64 KB. The evaluation shows an average WCET reduction of up to 23.3% for dual-core systems and 8.5% for quad-core systems.
Effect of Halide Ions on the TiO2-mediated Photocatalysis of Carbendazim in Aqueous Medium Under Near-ultraviolet Light Irradiation
Authors: Bragetta Margherita , Germani Raimondo , Tiecco Matteo , Alabed Husam B. R. , Del Giacco Tiziana 
Published: September 2024

AbstractThe degradation of carbendazim (CBZ) through TiO2 photocatalysis, in the presence of halide ions and under near-UV light irradiation, was investigated. HPLC–MS technique was used to characterize the photoproducts. Spectrophotometric analysis showed that CBZ degraded slowly in TiO2 aqueous dispersions containing no salt (CBZ conversion of 6% after ca. 5 h of irradiation). The photodegradation efficiency increased particularly by addition of bromide salts. Indeed, CBZ reached complete degradation after ca. 30 min at the maximum concentration of NaBr used (0.05 M). Two significant aspects have emerged from the data analysis: the bromide role is to cause inhibition of the electron–hole recombination, a reaction known to be competitive with the reactive process; CBZ photodegradation is especially initiated by direct hole transfer pathway, whereas the OH• role is crucial in the catalyst regeneration process. Degradation attempts under sunlight appeared promising for a more sustainable photocatalytic process.
Establishment and characterization of novel spontaneously immortalized larval cell lines from sablefish Anoplopoma fimbria
Authors: Friesen Eric R. , Long Amy K. , Garver Kyle A. 
Published: September 2024

Abstract
Sablefish Anoplopoma
fimbria is a groundfish of the North Pacific Ocean typically found in sea floor habitat at depths to 2700 m. Prized as a food fish with exceptionally high market value, sablefish aquaculture has been sought to provide a sustainable source of this fish to meet market demands. While commercial culture has successfully produced market-sized fish in Pacific coastal environments, production has been hampered by disease and the overall lack of information on sablefish health and immunology. To begin to address these knowledge gaps, herein we describe the isolation and characterization of spontaneously immortalized sablefish larval cell lines (AFL). Six sublines were established from pools of early yolk-sac larvae, while attempts to develop tissue-specific–derived cell lines were unsuccessful. The six yolk-sac larval cell lines each display two morphologies in culture, an elongated fibroblast-like cell type, and a rounded squamous or epithelial-like cell type. Cytogenetic characterization suggests that both cell types are diploid (2n = 48) with 24 pairs of chromosomes, 23 pairs of autosomes, and 1 pair of sex chromosomes. A small proportion (11%) of AFL cells display tetraploidy. Incubation temperature and medium composition experiments revealed HEPES buffered L-15 media containing 10–20% FBS at temperatures between 15 and 18° C yielded optimal cell growth. These growth characteristics suggest that sablefish larval cells display a robustness for varying growth conditions. The establishment of AFL cell lines provides a foundational tool to study the physiology, health, immunology, and cell and molecular biology of sablefish.
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Authors: Dai Enyan , Zhao Tianxiang , Zhu Huaisheng , Xu Junjie , Guo Zhimeng , Liu Hui , Tang Jiliang , Wang Suhang 
Published: September 2024

AbstractGraph neural networks (GNNs) have made rapid developments in the recent years. Due to their great ability in modeling graph-structured data, GNNs are vastly used in various applications, including high-stakes scenarios such as financial analysis, traffic predictions, and drug discovery. Despite their great potential in benefiting humans in the real world, recent study shows that GNNs can leak private information, are vulnerable to adversarial attacks, can inherit and magnify societal bias from training data and lack interpretability, which have risk of causing unintentional harm to the users and society. For example, existing works demonstrate that attackers can fool the GNNs to give the outcome they desire with unnoticeable perturbation on training graph. GNNs trained on social networks may embed the discrimination in their decision process, strengthening the undesirable societal bias. Consequently, trust-worthy GNNs in various aspects are emerging to prevent the harm from GNN models and increase the users’ trust in GNNs. In this paper, we give a comprehensive survey of GNNs in the computational aspects of privacy, robustness, fairness, and explainability. For each aspect, we give the taxonomy of the related methods and formulate the general frameworks for the multiple categories of trustworthy GNNs. We also discuss the future research directions of each aspect and connections between these aspects to help achieve trustworthiness.
A Cubic Pure Half-Spinor Approach to High Performance Photon-Counting Computerized X-ray Tomography – Transcendence of the Brauer Mirror Symmetry Functor –
Authors: Schempp Walter J. 
Published: September 2024

AbstractThe goal of this paper is to present a spectral theory of advanced photon-counting computerized X-ray tomography, which is a promising microelectronical semiconductor wafer X-ray technique on the verge of becoming clinically feasible and has the potential to dramatically alter the clinical application of computer-aided medical diagnosis in the upcoming decades. In analogy to the deep fact that any real division algebra has dimension 1, 2, 4 or 8, the isogeneous third Galois cohomological, mirror symmetrical approach to high spatial resolution spectral photon-counting computerized tomography establishes that the exceptional Lie group $$\textrm{Spin}(8,\mathbb {R})$$

Spin
(
8
,
R
)

is the only one of the spin group spectrum $$\{\textrm{Spin}(n,\mathbb {R})\mid n \ge 1\}$$

{
Spin
(
n
,
R
)
∣
n
≥
1
}

to admit a triality automorphism. It is the exceptional phenomenon of triality which is able to produce by the spin representation theory of the exceptional Lie group of octonions $$\mathbb {O}$$
O
the spectral shaped digital signals of spectral photon-counting computerized X-ray tomography. Similarly to spin echo magnetic resonance tomography, the mathematical approach to spectral high performance computerized tomography is based on the isogeneously invariant, projectively weighted, symplectic coadjoint orbit picture $$\mathfrak {Lie}(\mathcal {N})^*/\textrm{CoAd}(\mathcal {N})$$

Lie

(
N
)

∗

/
CoAd

(
N
)

of the real 3-dimensional Heisenberg unipotent Lie group $$\mathcal {N}$$
N
of type $$\textrm{GL}(3,\mathbb {R})$$

GL
(
3
,
R
)

, and its solvable diamond toric Lie group extension.
Lipoteichoic Acid from Lacticaseibacillus rhamnosus GG as a Novel Intracanal Medicament Targeting Enterococcus faecalis Biofilm Formation
Authors: Yoon Ji-Young , Park Somin , Lee Dongwook , Park Ok-Jin , Lee WooCheol , Han Seung Hyun 
Published: September 2024

AbstractThe demand for safe and effective endodontic medicaments to control Enterococcus faecalis biofilms, a contributor to apical periodontitis, is increasing. Recently, lipoteichoic acid (LTA) of family Lactobacillaceae has been shown to have anti-biofilm effects against various oral pathogens. Preliminary experiments showed that LTA purified from Lacticaseibacillus rhamnosus GG (Lgg.LTA) was the most effective against E. faecalis biofilms among LTAs from three Lactobacillaceae including L. rhamnosus GG, Lacticaseibacillus casei, and Lactobacillus acidophilus. Therefore, in this study, we investigated the potential of Lgg.LTA as an intracanal medicament in human root canals infected with E. faecalis. Twenty eight dentinal cylinders were prepared from extracted human teeth, where two-week-old E. faecalis biofilms were formed followed by intracanal treatment with sterile distilled water (SDW), N-2 methyl pyrrolidone (NMP), calcium hydroxide (CH), or Lgg.LTA. Bacteria and biofilms that formed in the root canals were analyzed by scanning electron microscopy and confocal laser scanning microscopy. The remaining E. faecalis cells in the root canals after intracanal medicament treatment were enumerated by culturing and counting. When applied to intracanal biofilms, Lgg.LTA effectively inhibited E. faecalis biofilm formation as much as CH, while SDW and NMP had little effect. Furthermore, Lgg.LTA reduced both live and dead bacteria within the dentinal tubules, indicating the possibility of minimal re-infection in the root canals. Collectively, intracanal application of Lgg.LTA effectively inhibited E. faecalis biofilm formation, implying that Lgg.LTA can be used as a novel endodontic medicament.
Evaluating the persistence and insecticidal effects of emulsifiable concentrate containing Cananga odorata essential oil on survival and enzymatic activity of Spodoptera littoralis
Authors: Ibrahim Samar Sayed , Sammour Elham Ahmed 
Published: September 2024

AbstractThe essential oil of Cananga odorata was prepared as an emulsifiable concentrate formulation and examined for its insecticidal activity against Spodoptera littoralis larvae. The effectiveness of C. odorata oil in both pure and EC formulations was investigated in terms of enzymatic activity and survival. In addition, their persistence effect was studied in semi-field conditions. Benzyl benzoate (18.86%), benzyl acetate (9.18%), β-Maaliene (15.53%), alloaromadendrene (6.41%), cis-Thujopsene (6.16%), cedrene (5.35%), and benzyl alcohol (5.98%) were the most abundant compounds found in C. odorata oil by gas chromatography-mass spectrometry analysis. The EC formulation exhibited the highest toxicity and produced LC values of 0.47, 1.02, and 3.78% for LC40, LC50, and LC90, respectively, compared to 1.05, 1.70, and 4.96%, respectively, resulted from pure oil after 72 h of exposure. Following EC application, the mean survival time was only 3.60 ± 0.57 days, compared to pure oil treatment (7.70 ± 1.11 days) and control (14.0 ± 0.0 days). The LC40 of EC formulation induced a more potent inhibitory effect for the detoxification enzyme carboxylesterases (CarE; α- and β-esterase) and the oxidative stress enzyme superoxide dismutase (SOD). Under semi-field conditions, the cumulative mortality of S. littoralis larvae increased by increasing the exposure time to LC90 of both formulations. The EC formulation had the highest mortality rates for the total exposure period (7 days). According to these results, C. odorata EC formulation demonstrated enhanced toxicity and persistence effects, and it can be utilized as a green bio-insecticide for the management of S. littoralis larvae.
Territorial Patterns of European Innovation in the Context of Different Innovation Output Proxies: A Spatial MGWR-SAR Approach
Authors: Furková Andrea 
Published: September 2024

AbstractThe paper seeks to explore the drivers of European innovation represented by three innovation outputs (patent, trademark, and design applications), emphasizing spatial autocorrelation and heterogeneity. It includes data from 202 regions from 22 European Union (EU) Member States, along with 18 regions from Switzerland, Norway, and Serbia in 2019, providing a more comprehensive geographic scope. By considering multiple indicators of innovation output, including patents, trademarks, and design applications, the main objective is to examine spatial innovation spillovers and the heterogeneous responses of regional innovation output to innovation inputs in the context of European regions. To achieve this goal, the main instrument of the analysis is a newly proposed methodological framework called Mixed Geographically Weighted Regression-Spatial Autoregressive (MGWR-SAR) models. The analysis suggests that while all innovation inputs (most-cited publications, research and development expenditure in the business sector, human resources in science and technology, and population density) are justified in increasing all innovation outputs, the strength of particular determinants of innovation might vary across regions. Moreover, the analysis reveals valuable insights into how spatial spillovers influence regional innovation. The impact of spatial connections varies across the regions, with patents showing the strongest linkages, affecting about 92.27% of regions. Although trademarks and designs have fewer spatial connections (approximately 50% of regions), they still play a significant role in innovation. Although patents have traditionally dominated discussions of innovation, the findings reveal the importance of incorporating designs and trademarks as complementary indicators. Overall, the study highlights the need for multiple metrics to comprehensively evaluate innovations.
Comparative genome analysis of endophytic Bacillus amyloliquefaciens MR4: a potential biocontrol agent isolated from wild medicinal plant root tissue
Authors: Yang Kaiying , Dai Xianxing , Maitikadir Zulihumar , Zhang Huijiang , Hao Haiting , Yan Chengcai 
Published: September 2024

AbstractIn this investigation, 396 endophytic bacterial strains from six indigenous medicinal plant species within the Xinjiang Tumor Peak National Nature Reserve were subjected to screening. The strain MR4 emerged as a noteworthy contender, demonstrating pronounced biocontrol capabilities coupled with exceptional cold tolerance. Through morphological scrutiny and comprehensive genomic sequencing, MR4 was identified as Bacillus amyloliquefaciens. Antagonistic assays revealed MR4’s efficacy in suppressing the causative agents of cotton wilt and verticillium wilt, achieving inhibition rates surpassing 50%. Analyses, underpinned by PCR methodologies, indicated MR4’s capacity to biosynthesize a minimum of eight distinct antimicrobial agents. The whole-genome sequencing data indicated that B. amyloliquefaciens MR4 had the genome size and GC content of 4,017,872 bp and 47.14%, respectively, and 4191 coding genes were identified. The genome consists of a single chromosome and one plasmid. Moreover, it was augmented by annotations from various databases, including GO, KEGG, and COG. The pathogenicity of MR4 undergoes evaluation, while predictions concerning MR4’s secondary metabolites have disclosed gene clusters for 13 varieties of these compounds, with particular emphasis on surfactins and fengycin. Comparative analyses with four paradigmatic strains shed light on MR4’s genomic composition and its phylogenetic lineage within the Bacillus genus. The genomic data pertaining to MR4 have been duly submitted to the NCBI GenBank, bearing the accession numbers CP146236 (Chr1) and CP146237 (plas1). This study endeavors to furnish potent microbial resources for the biocontrol and enhancement of plant growth, thereby providing a theoretical groundwork for MR4’s agronomic utilization.
Graphical Abstract
Attributing responsibility to farmers for environmental protection and climate action: insights from the European Union
Authors: Tosun Jale , Schaub Simon , Marek Charlene , Kellermann Laura , Koch Marcus A. 
Published: September 2024

AbstractThe attribution of responsibility is an important aspect of democratic government and governance. This study is interested in explaining variation in the responsibility that the public attributes to farmers for tackling climate change and environmental degradation. It analyzes data for respondents based in the 27 member states of the European Union as offered by a special issue of the Eurobarometer. Theoretically, the study postulates that if individuals perceive agriculture as a cause of climate change and environmental degradation, then they are more likely to indicate that it is a responsibility of farmers to take environmental and climate action. It also hypothesizes that individuals with a left-leaning ideology are more likely to attribute responsibility to farmers than right-leaning ones. Empirically, we find that the attribution of responsibility to farmers for mitigating climate change and environmental degradation is highest among Danes and lowest among Estonians. In 19 out of the 27 member states, our hypothesis holds true that individuals who perceive agriculture as a cause of climate change and environmental degradation are also more likely to attribute farmers’ responsibility for taking climate and environmental action. And in 11 member states, left-leaning individuals have a significantly higher likelihood of attributing farmers’ responsibility for tackling climate change and environmental degradation.
Exploring Nanoscale Perovskite Materials for Next-Generation Photodetectors: A Comprehensive Review and Future Directions
Authors: Li Xin , Aftab Sikandar , Mukhtar Maria , Kabir Fahmid , Khan Muhammad Farooq , Hegazy Hosameldin Helmy , Akman Erdi 
Published: September 2024

AbstractThe rapid advancement of nanotechnology has sparked much interest in applying nanoscale perovskite materials for photodetection applications. These materials are promising candidates for next-generation photodetectors (PDs) due to their unique optoelectronic properties and flexible synthesis routes. This review explores the approaches used in the development and use of optoelectronic devices made of different nanoscale perovskite architectures, including quantum dots, nanosheets, nanorods, nanowires, and nanocrystals. Through a thorough analysis of recent literature, the review also addresses common issues like the mechanisms underlying the degradation of perovskite PDs and offers perspectives on potential solutions to improve stability and scalability that impede widespread implementation. In addition, it highlights that photodetection encompasses the detection of light fields in dimensions other than light intensity and suggests potential avenues for future research to overcome these obstacles and fully realize the potential of nanoscale perovskite materials in state-of-the-art photodetection systems. This review provides a comprehensive overview of nanoscale perovskite PDs and guides future research efforts towards improved performance and wider applicability, making it a valuable resource for researchers.
Bayesian Optimization with Additive Kernels for a Stepwise Calibration of Simulation Models for Cost-Effectiveness Analysis
Authors: Gómez-Guillén David , Díaz Mireia , Arcos Josep Lluís , Cerquides Jesus 
Published: September 2024

AbstractA critical aspect of simulation models used in cost-effectiveness analysis lies in accurately representing the natural history of diseases, requiring parameters such as probabilities and disease burden rates. While most of these parameters can be sourced from scientific literature, they often require calibration to align with the model’s expected outcomes. Traditional optimization methods can be time-consuming and computationally expensive, as they often rely on simplistic heuristics that may not ensure feasible solutions. In this study, we explore using Bayesian optimization to enhance the calibration process by leveraging domain-specific knowledge and exploiting structural properties within the solution space. Specifically, we investigate the impact of additive kernel decomposition and a stepwise approach, which capitalizes on the sequential block structure inherent in simulation models. This approach breaks down large optimization problems into smaller ones without compromising solution quality. In some instances, parameters obtained using this methodology may exhibit less error than those derived from naive calibration techniques. We compare this approach with two state-of-the-art high-dimensional Bayesian Optimization techniques: SAASBO and BAxUS. Our findings demonstrate that Bayesian optimization significantly enhances the calibration process, resulting in faster convergence and improved solutions, particularly for larger simulation models. This improvement is most pronounced when combined with a stepwise calibration methodology.
A Novel Approach for Temperature Forecasting in Climate Change Using Ensemble Decomposition of Time Series
Authors: Estrada-Patiño Erick , Castilla-Valdez Guadalupe , Frausto-Solis Juan , González-Barbosa Javier , Sánchez-Hernández Juan Paulo 
Published: September 2024

AbstractThis paper presents FORSEER (Forecasting by Selective Ensemble Estimation and Reconstruction), a novel methodology designed to address temperature forecasting under the challenges inherent to climate change. FORSEER integrates decomposition, forecasting, and ensemble methods within a modular framework. This methodology decomposes the time series into trend, seasonal, and residual components. Subsequently, multiple optimized forecast models are applied to each component. These component models are then carefully weighted and combined through an ensemble process to generate a final robust forecast. Experimental results demonstrate that FORSEER is an efficient computational forecasting methodology for complex climate time series. Furthermore, we show that FORSEER has an equivalent forecasting performance to the M4 competition champion SMYL method for temperature series. Besides, the proposed methodology has less computational complexity than SMYL, making it a more accessible and scalable option. FORSEER's modular architecture also allows flexibility when substituting techniques depending on the context of the problem, facilitating the parallel execution of independent tasks and resulting in a strategy adaptable to multiple contexts.