bluuebunny/crossref_metadata_2025_split huggingface dataset:
Blurring the lines: how AI is redefining artistic ownership and copyright
Authors: Watiktinnakorn Chawinthorn , Seesai Jirawat , Kerdvibulvech Chutisant 
Published: November 2023

AbstractThe rapid advancement of AI technology has brought about significant changes across various industries, including the realm of art and creative endeavors. Presently, AI demonstrates the capability to produce high-quality works that closely resemble those crafted by humans. However, amidst these advancements, ownership rights remain ambiguous, given that existing copyright laws do not explicitly confer copyright protection to works not originating from human creators. The primary objective of this research is to present a spectrum of opinions and perspectives on a pivotal question: should the ownership of AI-generated works belong to individuals or AI entities? Simultaneously, the study aims to scrutinize the suitability of the existing copyright laws in addressing the complexities of AI-generated works. Additionally, this research paper endeavors to pinpoint the necessary adjustments and enhancements required within the current legal framework to harmonize with the contemporary landscape. To attain these objectives, two surveys were conducted. The first, a quantitative survey, involved a sample size of 100 participants, while the second, a qualitative survey, featured professionals within the creative field and legal experts. Each group comprised five individuals. The research findings gleaned from these surveys strongly suggest that AI-generated works exhibit quality on par with human creations and, therefore, merit classification as human works. Furthermore, there is a compelling argument that these works should be afforded copyright protection to provide clarity regarding their utilization by other individuals. Consequently, the prevailing copyright laws should undergo revision and amendment to reflect the demands of the modern era, establishing precise regulations tailored for AI-generated works.
Research on the Prediction of Tire Radial Load Based on 1D CNN and BiGRU
Authors: Ji Yuanjin , Zeng Junwei , Ren Lihui 
Published: November 2023

AbstractAs an important indicator of vehicle systems, tire load is a key factor in the structural design and safety assessment of vehicles. Direct measurement methods for tire loads are expensive and complicated, while conventional load identification methods are limited by low accuracy and poor robustness. This study aimed to propose a radial load identification method for rubber-tired vehicles based on a one-dimensional convolutional neural network (1D CNN) and bidirectional gated recurrent unit (BiGRU). Considering a priori information of the radial load data of tires and based on the observability of the vehicle vibration system, the proposed method selected feature sets and then retained the effective feature subsets through feature selection to construct samples with multiple time steps as input and with a single time step as output for network training. In doing so, the load prediction results were obtained, and the theoretical model was modified by integrating prediction accuracy, generalization performance, and robustness. Compared with traditional algorithms, the proposed method could effectively reduce the error of load identification, improve adaptability under different operating conditions, and handle the measurement error of different noise levels, which are of practical application value in the engineering field.
Dynamical Analysis of a 3D Fractional-Order Chaotic System for High-Security Communication and its Electronic Circuit Implementation
Authors: Beyene Girma Adam , Rahma Fahdil , Rajagopal Karthikeyan , Al-Hussein Abdul-Basset A. , Boulaaras Salah 
Published: November 2023

AbstractThis article, a 3D fractional-order chaotic system (FOCS) is designed; system holds Equilibria can take on various shapes and forms by introducing a nonlinear function and the value of its parameters. To comprehend the system’s behavior under diverse conditions and parameter values, a dynamical analysis is conducted through analytical and numerical means. This analysis employs techniques like phase portraits, Lyapunov exponents (LEs), bifurcation analysis, and Lyapunov spectra. The system demonstrates attractors that are more intricate compared to a regular chaotic system with an integer value, specifically if we set the fractional order q to 0.97. This characteristic makes it highly appropriate for developing secure communication systems. Moreover, a practical implementation has been developed using an electronic circuit to showcase its feasibility of the system. A secure communication system was built using two levels of encryption techniques. The propose sound encryption algorithm is verified through tests like histogram, correlation, and spectrogram investigation. The encryption correlation coefficient between the original signal and the encrypted one is 0.0010, this result shows a strong defences against pirate attacks.
Liveliness as a Theory of Meaning in Life: Problems and Prospects
Authors: LOUGHEED KIRK 
Published: November 2023

AbstractI aim to more fully develop a theory of meaning in life based on the concept of life force that is important to a substantial number of Africans in the sub-Sahara region. While life force implies a large invisible ontology, Thaddeus Metz has recently developed an entirely naturalistic version of it known as liveliness. However, he also offers two objections that hinge on the idea that life force cannot accommodate intuitions that certain types of knowledge and progress are valuable for their own sakes. I respond by noting that elsewhere Metz has developed a defense of the intrinsic value of knowledge by appealing to the idea that meeting a person's existential needs can be important for self-realization and hence for their meaning. If this is right, then the community ought to support such a person in their pursuit of knowledge even if doing so leads to no useful outcomes.
Stress and human health in diabetes: A report from the 19th Chicago Biomedical Consortium symposium
Authors: Mirmira Raghavendra G. , Kulkarni Rohit N. , Xu Pingwen , Drossos Tina , Varady Krista , Knutson Kristen L. , Reutrakul Sirimon , Martyn-Nemeth Pamela , Sargis Robert M. , Wallia Amisha , Tuchman Arleen M. , Weissberg-Benchell Jill , Danielson Kirstie K. , Oakes Scott A. , Thomas Celeste C. , Layden Brian T. , May Sarah C. , Burbea Hoffmann Michelle , Gatta Eleonora , Solway Julian , Philipson Louis H. 
Published: November 2023

Abstract
Stress and diabetes coexist in a vicious cycle. Different types of stress lead to diabetes, while diabetes itself is a major life stressor. This was the focus of the Chicago Biomedical Consortium’s 19th annual symposium, “Stress and Human Health: Diabetes,” in November 2022. There, researchers primarily from the Chicago area met to explore how different sources of stress – from the cells to the community – impact diabetes outcomes. Presenters discussed the consequences of stress arising from mutant proteins, obesity, sleep disturbances, environmental pollutants, COVID-19, and racial and socioeconomic disparities. This symposium showcased the latest diabetes research and highlighted promising new treatment approaches for mitigating stress in diabetes.
Stability conditions for polarised varieties
Authors: Dervan Ruadhaí 
Published: November 2023

Abstract
We introduce an analogue of Bridgeland’s stability conditions for polarised varieties. Much as Bridgeland stability is modelled on slope stability of coherent sheaves, our notion of Z-stability is modelled on the notion of K-stability of polarised varieties. We then introduce an analytic counterpart to stability, through the notion of a Z-critical Kähler metric, modelled on the constant scalar curvature Kähler condition. Our main result shows that a polarised variety which is analytically K-semistable and asymptotically Z-stable admits Z-critical Kähler metrics in the large volume regime. We also prove a local converse and explain how these results can be viewed in terms of local wall crossing. A special case of our framework gives a manifold analogue of the deformed Hermitian Yang–Mills equation.
Incest as a rhetorical device: The shock effect of the allegory in Ezekiel 16
Authors: Kugler Gili 
Published: November 2023

AbstractEzekiel 16 paints one of the harshest pictures in the Hebrew Bible. In a brokenhearted cry of rage, the prophet contemplates Jerusalem's history of relationship with God. Employing familial imagery, the relationship is characterised by constraints and penalties, including instances of sexual violence imposed by God. Consequently, the allegory challenges the perception of the deity as an exemplary figure. This article posits that the allegory deliberately delivers a jolt to its recipients by depicting God as transgressing a social taboo, by altering his role for the people from a father to a spouse. This depiction of incestuous relationship wields the power to evoke threat and terror. It acknowledges that the breaching of the taboo of a father–daughter incestuous relationship, albeit inadvisable, is possible. By ascribing to God a behaviour that fathers strive to avoid, the reproach captures the imagination of its recipients, leaving a profound impact upon them.
An Unintended Consequence: How the Modern Austrian School System Helped Set Up the Slovene Nation
Authors: Almasy Karin 
Published: November 2023

AbstractThe Austrian school reforms of the 1850s and 1860s, inspired by the mindset of the democratic and civic revolutions of 1848, turned a predominantly feudal and religious school system into a modern one and brought basic education to the masses. In the following decades, literacy increased, basic knowledge spread, and the overwhelming influence of the Catholic church in school matters diminished. Yet, as an “unintended consequence,” these reforms also had great implications for the process of building what turned out to be “the Slovene nation.” This article aims to illustrate that the formation of Slovene national identity—based on the use of the Slovene language as the main marker of Slovene ethnicity—was implemented to a large extent with the help of the Austrian school system and its efforts at centralization, systematization, and modernization. Measures like the creation of a school subject for the Slovene language, Slovene reading materials in school textbooks, and statistical categorization within school administrations played a crucial role in that process.
The role of quantitative bias analysis for nonrandomized comparisons in health technology assessment: recommendations from an expert workshop
Authors: Leahy Thomas P. , Durand-Zaleski Isabelle , Sampietro-Colom Laura , Kent Seamus , Zöllner York , Coyle Doug , Casadei Gianluigi 
Published: November 2023

Abstract
The use of treatment effects derived from nonrandomized studies (NRS) in health technology assessment (HTA) is growing. NRS carry an inherently greater risk of bias than randomized controlled trials (RCTs). Although bias can be mitigated to some extent through appropriate approaches to study design and analysis, concerns around data availability and quality and the absence of randomization mean residual biases typically render the interpretation of NRS challenging. Quantitative bias analysis (QBA) methods are a range of methods that use additional, typically external, data to understand the potential impact that unmeasured confounding and other biases including selection bias and time biases can have on the results (i.e., treatment effects) from an NRS. QBA has the potential to support HTA bodies in using NRS to support decision-making by quantifying the magnitude, direction, and uncertainty of biases. However, there are a number of key aspects of the use of QBA in HTA which have received limited discussion. This paper presents recommendations for the use of QBA in HTA developed using a multi-stakeholder workshop of experts in HTA with a focus on QBA for unmeasured confounding.
Climate change and fluid status in children: early education as one response to an emerging public health problem
Authors: Kalhoff Hermann , Sinningen Kathrin , Belgardt Aziza , Kersting Mathilde , Luecke Thomas 
Published: November 2023

AbstractObjective:As global warming intensifies, residents of temperate regions will also face heat waves in the near future. Food habits are one component in addressing the global challenge of climate change. However, water, the most important food for humans, has not been adequately addressed.Design:For this commentary, on the one hand, publications on the increasing heat stress of children were consulted. On the other hand, publications on the special demands of children’s temperature regulation in hot environments on fluid balance were analysed.Setting:The situation of young children in care facilities on days with heat stress is presented as a scenario. In this way, the effects of climatic changes on fluid balance can be estimated and measures to reduce heat stress and stabilise the fluid balance of children can be developed.Participants:For this analysis, first, infants will be considered in order to identify their specific fluid needs. Second, the possibilities for caregivers to improve fluid intake and train appropriate drinking habits already in infancy will be highlighted.Results:Climate change should be included in recommendations on hydration for children. The need to adapt drinking habits requires educational approaches to weather and water – starting in early childhood care.Conclusions:In the face of rapid climate change, countries must act now by protecting, preparing and prioritising the high-risk group of children. Particular focus should be placed on supporting adequate hydration.
African Continental Free Trade Agreement's Conditional Most Favoured Nation: A Necessary Compromise?
Authors: Tsorme Rita Mawufemor , Amoah Joseph 
Published: November 2023

AbstractThe inception of the African Continental Free Trade Agreement (AfCFTA) constitutes a major advancement in Africa's economic integration process. Diverging from what appears to be the norm in contemporary trade treaties, the agreement adopts a conditional Most Favoured Nation (MFN) clause hinged on the principle of reciprocity. Without the promise to reciprocate preferential treatment, the beneficiary state does not assume the right to demand MFN treatment. In broader discussions, this feature has been criticized for possessing the tendency to restrict trade. However, examining it in the context of Africa's trade paradigm, this paper argues that the non-automaticity of the AfCFTA's MFN clause is a cardinal feature safeguarding its existence.
Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression
Authors: Argyelan Miklos , Deng Zhi-De , Ousdal Olga Therese , Oltedal Leif , Angulo Brian , Baradits Mate , Spitzberg Andrew J. , Kessler Ute , Sartorius Alexander , Dols Annemiek , Narr Katherine L. , Espinoza Randall , van Waarde Jeroen A. , Tendolkar Indira , van Eijndhoven Philip , van Wingen Guido A. , Takamiya Akihiro , Kishimoto Taishiro , Jorgensen Martin B. , Jorgensen Anders , Paulson Olaf B. , Yrondi Antoine , Péran Patrice , Soriano-Mas Carles , Cardoner Narcis , Cano Marta , van Diermen Linda , Schrijvers Didier , Belge Jean-Baptiste , Emsell Louise , Bouckaert Filip , Vandenbulcke Mathieu , Kiebs Maximilian , Hurlemann René , Mulders Peter CR. , Redlich Ronny , Dannlowski Udo , Kavakbasi Erhan , Kritzer Michael D. , Ellard Kristen K. , Camprodon Joan A. , Petrides Georgios , Malhotra Anil K. , Abbott Christopher C. 
Published: November 2023

AbstractNeurostimulation is a mainstream treatment option for major depression. Neuromodulation techniques apply repetitive magnetic or electrical stimulation to some neural target but significantly differ in their invasiveness, spatial selectivity, mechanism of action, and efficacy. Despite these differences, recent analyses of transcranial magnetic stimulation (TMS) and deep brain stimulation (DBS)-treated individuals converged on a common neural network that might have a causal role in treatment response. We set out to investigate if the neuronal underpinnings of electroconvulsive therapy (ECT) are similarly associated with this causal depression network (CDN). Our aim here is to provide a comprehensive analysis in three cohorts of patients segregated by electrode placement (N = 246 with right unilateral, 79 with bitemporal, and 61 with mixed) who underwent ECT. We conducted a data-driven, unsupervised multivariate neuroimaging analysis Principal Component Analysis (PCA) of the cortical and subcortical volume changes and electric field (EF) distribution to explore changes within the CDN associated with antidepressant outcomes. Despite the different treatment modalities (ECT vs TMS and DBS) and methodological approaches (structural vs functional networks), we found a highly similar pattern of change within the CDN in the three cohorts of patients (spatial similarity across 85 regions: r = 0.65, 0.58, 0.40, df = 83). Most importantly, the expression of this pattern correlated with clinical outcomes (t = −2.35, p = 0.019). This evidence further supports that treatment interventions converge on a CDN in depression. Optimizing modulation of this network could serve to improve the outcome of neurostimulation in depression.
Dual targeting of MAPK and PI3K pathways unlocks redifferentiation of Braf-mutated thyroid cancer organoids
Authors: Lasolle Hélène , Schiavo Andrea , Tourneur Adrien , Gillotay Pierre , de Faria da Fonseca Bárbara , Ceolin Lucieli , Monestier Olivier , Aganahi Benilda , Chomette Laura , Kizys Marina Malta Letro , Haenebalcke Lieven , Pieters Tim , Goossens Steven , Haigh Jody , Detours Vincent , Maia Ana Luiza Silva , Costagliola Sabine , Romitti Mírian 
Published: November 2023

AbstractThyroid cancer is the most common endocrine malignancy and several genetic events have been described to promote the development of thyroid carcinogenesis. Besides the effects of specific mutations on thyroid cancer development, the molecular mechanisms controlling tumorigenesis, tumor behavior, and drug resistance are still largely unknown. Cancer organoids have been proposed as a powerful tool to study aspects related to tumor development and progression and appear promising to test individual responses to therapies. Here, using mESC-derived thyroid organoids, we developed a BrafV637E-inducible model able to recapitulate the features of papillary thyroid cancer in vitro. Overexpression of the murine BrafV637E mutation, equivalent to BrafV600E in humans, rapidly triggers to MAPK activation, cell dedifferentiation, and disruption of follicular organization. BrafV637E-expressing organoids show a transcriptomic signature for p53, focal adhesion, ECM-receptor interactions, EMT, and inflammatory signaling pathways. Finally, PTC-like thyroid organoids were used for drug screening assays. The combination of MAPK and PI3K inhibitors reversed BrafV637E oncogene-promoted cell dedifferentiation while restoring thyroid follicle organization and function in vitro. Our results demonstrate that pluripotent stem cells-derived thyroid cancer organoids can mimic tumor development and features while providing an efficient tool for testing novel targeted therapies.
SARS-CoV-2 and innate immunity: the good, the bad, and the “goldilocks”
Authors: Sievers Benjamin L. , Cheng Mark T. K. , Csiba Kata , Meng Bo , Gupta Ravindra K. 
Published: November 2023

AbstractAn ancient conflict between hosts and pathogens has driven the innate and adaptive arms of immunity. Knowledge about this interplay can not only help us identify biological mechanisms but also reveal pathogen vulnerabilities that can be leveraged therapeutically. The humoral response to SARS-CoV-2 infection has been the focus of intense research, and the role of the innate immune system has received significantly less attention. Here, we review current knowledge of the innate immune response to SARS-CoV-2 infection and the various means SARS-CoV-2 employs to evade innate defense systems. We also consider the role of innate immunity in SARS-CoV-2 vaccines and in the phenomenon of long COVID.
CRISPR-based gene drives generate super-Mendelian inheritance in the disease vector Culex quinquefasciatus
Authors: Harvey-Samuel Tim , Feng Xuechun , Okamoto Emily M. , Purusothaman Deepak-Kumar , Leftwich Philip T. , Alphey Luke , Gantz Valentino M. 
Published: November 2023

AbstractCulex mosquitoes pose a significant public health threat as vectors for a variety of diseases including West Nile virus and lymphatic filariasis, and transmit pathogens threatening livestock, companion animals, and endangered birds. Rampant insecticide resistance makes controlling these mosquitoes challenging and necessitates the development of new control strategies. Gene drive technologies have made significant progress in other mosquito species, although similar advances have been lagging in Culex. Here we test a CRISPR-based homing gene drive for Culex quinquefasciatus, and show that the inheritance of two split-gene-drive transgenes, targeting different loci, are biased in the presence of a Cas9-expressing transgene although with modest efficiencies. Our findings extend the list of disease vectors where engineered homing gene drives have been demonstrated to include Culex alongside Anopheles and Aedes, and pave the way for future development of these technologies to control Culex mosquitoes.
Early-to-mid stage idiopathic Parkinson’s disease shows enhanced cytotoxicity and differentiation in CD8 T-cells in females
Authors: Capelle Christophe M. , Ciré Séverine , Hedin Fanny , Hansen Maxime , Pavelka Lukas , Grzyb Kamil , Kyriakis Dimitrios , Hunewald Oliver , Konstantinou Maria , Revets Dominique , Tslaf Vera , Marques Tainá M. , Gomes Clarissa P. C. , Baron Alexandre , Domingues Olivia , Gomez Mario , Zeng Ni , Betsou Fay , May Patrick , Skupin Alexander , Cosma Antonio , Balling Rudi , Krüger Rejko , Ollert Markus , Hefeng Feng Q. 
Published: November 2023

AbstractNeuroinflammation in the brain contributes to the pathogenesis of Parkinson’s disease (PD), but the potential dysregulation of peripheral immunity has not been systematically investigated for idiopathic PD (iPD). Here we showed an elevated peripheral cytotoxic immune milieu, with more terminally-differentiated effector memory (TEMRA) CD8 T, CD8+ NKT cells and circulating cytotoxic molecules in fresh blood of patients with early-to-mid iPD, especially females, after analyzing > 700 innate and adaptive immune features. This profile, also reflected by fewer CD8+FOXP3+ T cells, was confirmed in another subcohort. Co-expression between cytotoxic molecules was selectively enhanced in CD8 TEMRA and effector memory (TEM) cells. Single-cell RNA-sequencing analysis demonstrated the accelerated differentiation within CD8 compartments, enhanced cytotoxic pathways in CD8 TEMRA and TEM cells, while CD8 central memory (TCM) and naïve cells were already more-active and transcriptionally-reprogrammed. Our work provides a comprehensive map of dysregulated peripheral immunity in iPD, proposing candidates for early diagnosis and treatments.