bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automated broken object-level authorization attack detection in REST APIs through OpenAPI to colored petri nets transformation
Authors: Santos Filho Ailton , Rodríguez Ricardo J. , Feitosa Eduardo L. 
Published: February 2025

Abstract
The representational state transfer architectural style (REST) specifies a set of rules for creating web services. In REST, data and functionality are considered resources, accessed, and manipulated using a uniform, well-defined set of rules. RESTful web services are web services that follow the REST architectural style and are exposed to the Internet using RESTful APIs. Most of them are described by OpenAPI, a standard language-independent interface for RESTful APIs. RESTful APIs are continuously available on the Internet and are therefore a common target for cyberattacks. To prevent vulnerabilities and reduce risks in web systems, there are several security guidelines available, such as those provided by the Open Web Application Security Project (OWASP) foundation. A common vulnerability in web services is broken object level authorization (BOLA), which allows an attacker to modify or delete data or perform actions intended only for authorized users. For example, an attacker can change an order status, delete a user account, or add unauthorized data to the server. In this paper, we propose a transformation from OpenAPI to Petri nets, which enables formal modeling and analysis of REST APIs using existing Petri net analysis techniques to detect potential security risks directly from the analysis of web server logs. In addition, we also provide a tool, named , which automatically performs model transformation (taking the OpenAPI specification as input) and BOLA attack detection by analyzing web server execution traces. We apply it to a case study of a vulnerable web application to demonstrate its applicability. Our results show that it is capable of detecting BOLA attacks with an accuracy greater than 95% in the proposed scenarios.
Pseudorandom bit generation with asymmetric numeral systems
Authors: Pieprzyk Josef , Pawłowski Marcin , Morawiecki Paweł , Mahboubi Arash , Duda Jarek , Camtepe Seyit 
Published: February 2025

Abstract
The generation of pseudorandom binary sequences is of great importance in numerous applications, ranging from simulation and gambling to cryptography. Pseudorandom bit generators (PRBGs) can be divided into two categories based on their claimed security. The first category includes PRBGs that are provably secure, such as the Blum–Blum–Shub generator. The security of the second category relies on heuristic arguments. Unfortunately, PRBGs from the first category are inherently inefficient, and some are vulnerable to quantum attacks. In contrast, those in the second category are highly efficient, though their security depends on their resistance to known cryptographic attacks. This work presents a construction of a PRBG based on the asymmetric numeral system (ANS) compression algorithm. We define a family of PRBGs for

$$2^R$$

2
R

ANS states and prove that it is indistinguishable from a truly random generator for sufficiently large R. To enhance efficiency, we explore PRBGs with smaller values of

$$R = 7, 8, 9$$

R
=
7
,
8
,
9

and demonstrate methods for removing local correlations in the output stream. We permute output bits using rotation and Keccak transformations, showing that the permuted bits pass all NIST tests. Our PRBG design is provably secure for large values of R and heuristically secure for smaller values. Additionally, we claim that our PRBG is secure against quantum adversaries.
Probabilities of Conditionals via Labeled Markov Graphs
Authors: Wójtowicz Krzysztof , Wójtowicz Anna 
Published: February 2025

Abstract
In the paper, we provide a general formalism for computing probabilities of indicative conditionals. Our model is based on the idea of constructing a (labeled) Markov graph G(α), which models the sentence α, containing an arbitrarily complex conditional (exhibiting in particular its structure). The formalism makes computing these probabilities an easy task—it consists of solving simple systems of linear equations. The graph G(α) generates a canonical probability space S(α) = (Ωα, Σα, Pα), where α is given an interpretation as an event so that the probability can be computed mathematically. We present a general inductive definition of the graph G(α) for a sentence α of arbitrary complexity. It is based on the idea of defining graph-building operations which correspond to the negation and conjunction and the non-Boolean conditional connective →. The definition enables the construction of graphs and the corresponding systems of equations for arbitrarily complex conditionals in an algorithmic and efficient manner.
The Vitamin E Derivative Garcinoic Acid Suppresses NLRP3 Inflammasome Activation and Pyroptosis in Murine Macrophages
Authors: Börmel Lisa , Geisler Anja R. , Hupfer Yvonne , Liao Sijia , Schubert Tina , Kluge Stefan , Lorkowski Stefan , Wallert Maria 
Published: February 2025

Abstract
Excessive inflammation in cells are a common cause of inflammation-related diseases such as cardiometabolic diseases. The cellular multiprotein complex nucleotide-binding domain and leucine-rich repeat pyrin domain 3 (NLRP3) inflammasome is a cellular key modulator of inflammatory processes. In addition to classic medications, phytochemicals are known for their anti-inflammatory potential. In African folk medicine the seeds of Garcinia kola are used to support the treatment of inflammatory diseases. Of particular interest is the phytochemical garcinoic acid (GA, trans-13′-carboxy-δ-tocotrienol), which is isolated from the Garcinia kola seeds. This derivative and potential metabolite of the vitamin E congener δ-tocotrienol (T3) shows anti-inflammatory properties in vitro. However, the underlying mechanisms are largely unknown. To get better insights into the molecular mode of action, murine J774A.1 macrophages were stimulated with lipopolysaccharides (LPS) only or in combination with adenosine triphosphate (ATP), which led to canonical activation of the NLRP3 inflammasome and subsequent pyroptosis. A combined treatment with GA resulted in significantly reduced stimulation of the transcription factor nuclear factor 'ĸ-light-chain-enhancer' of activated B-cells (NF-ĸB), decreased expression of inflammasome-related genes and marked downregulation of autoproteolytic cleavage of caspase-1 (Casp-1). Consequently, GA had an inhibitory effect on pyroptosis. The results have been validated using the well-known NLRP3 inflammasome inhibitor MCC950. In conclusion, GA was shown to have relevant effects on the regulation of the NLRP3 inflammasome and pyroptosis in vitro. Our study provides new mechanistic insights into the anti-inflammatory mode of action of GA and highlights its relevance as a potential phytochemical drug for the treatment of inflammation.
Ongoing Abuse Following Survival of Attempted Intimate Partner Homicide
Authors: Avieli Hila 
Published: February 2025

Abstract

Purpose
Studies focusing specifically on the experiences of women who have survived intimate partner homicide (IPH) remain scarce, even as research attention to IPH has significantly increased. Within this limited scholarship, significant attention is given to the circumstances and dynamics of the relationship preceding the IPH episode, with little understanding of how the abusive relationship may evolve following the attempted IPH once the couple has already separated. Using the Assault on Basic Needs framework, the current study aimed to address this gap by exploring attempted IPH survivors’ perceptions of their post-separation relationship with their ex-partners, focusing on the abuse tactics employed by the perpetrators.

Methods
Participants were attempted IPH survivors who had publicly shared their stories, and were recruited through social media. An Interpretive Phenomenological Analysis methodology was utilized to conduct semi-structured interviews with 12 participants, all women who had survived an attempted IPH.

Results
The participants’ narratives uncovered three primary tactics used to sustain the abuse: (1) Post-separation relationship maintained through communication channels, (2) Abuse through the legal system, and (3) Abuse through intermediaries.

Conclusion
The findings suggest that even after separation or incarceration, abuse may persist, requiring survivors of attempted homicide to receive additional support and protection on their path to safety and healing.
Persisting blood–brain barrier disruption following cisplatin treatment in a mouse model of chemotherapy-associated cognitive impairment
Authors: Patai Roland , Csik Boglarka , Nyul-Toth Adam , Gulej Rafal , Vali Kordestan Kiana , Chandragiri Siva Sai , Shanmugarama Santny , Tarantini Stefano , Mukli Peter , Ungvari Anna , Yabluchanskiy Andriy , Ungvari Zoltan , Csiszar Anna 
Published: February 2025

Abstract
Chemotherapy-related cognitive impairment, commonly referred to as “chemobrain,” significantly affects cancer survivors’ quality of life, yet its underlying mechanisms remain unclear. Most chemotherapeutic agents cannot cross the blood–brain barrier (BBB), yet they cause central nervous system side effects, suggesting alternative pathways of toxicity. Given that these drugs interact with the cerebrovascular endothelium at their highest concentrations, it is logical to hypothesize that endothelial damage contributes to these effects. Our recent studies demonstrated that paclitaxel-induced cognitive impairment in a mouse model results in a partial BBB disruption and subsequent neuroinflammation, mediated by chemotherapy-induced endothelial senescence. In this pilot study, we used two-photon microscopy to assess BBB permeability in mice receiving a clinically relevant cisplatin regimen, evaluating the leakage of fluorescent dextran tracers of varying molecular weights. Two months post-treatment, cisplatin-treated mice exhibited significantly increased BBB permeability to smaller molecular tracers (40 kDa, 3 kDa, and 0.3 kDa) compared to controls, indicating sustained BBB disruption. These results align with our findings for paclitaxel and suggest that chemotherapy-induced endothelial damage and senescence play a central role in cognitive impairments. Interventions targeting endothelial health could mitigate these long-term effects, improving cognitive outcomes for cancer survivors.
The effect of tele-nursing based motivational interviewing on self-efficacy, self-management and metabolic control parameters in individuals with type 2 diabetes: randomized controlled study
Authors: İşleyen Eda Kılınç , Özdemir İrem Nur , Yoldemır Şengül Aydın 
Published: February 2025

Abstract

Aim
The study was carried out to investigate the effect of tele-nursing based motivational interviewing on diabetes self-efficacy, self-management, and metabolic control parameters in individuals with Type 2 diabetes.

Method
A parallel-group randomized controlled trial. The study was completed with 70 participants (intervention: 36; control: 34). The data were collected using the Socio-demographic and Health Related Questionnaire, the Diabetes Self-Efficacy Scale, the Diabetes Self-Management Scale. The intervention group received eight sessions tele-nursing based motivational interviewing. Instruments were administered to both groups before the intervention, at the end of the last motivational interviewing session (post-test, 3rd-month), and at 6th-month follow-up. The data were analyzed using chi-square test, independent sample t-test, and one-way ANOVA.

Results
In the pre-test, there was no difference between the intervention and control groups in terms of independent variables (p > 0.05). Self-efficacy and self-management scores increased in the post-test and follow-up test of the group to which telenursing-based MI was applied, and there was a difference between the groups (p < 0.05). FBG and triglyceride levels of the intervention group decreased significantly in the post-test and follow-up test (FBG = 217.46 ± 73.88, 166.13 ± 50.71, and 161.41 ± 50.50, respectively; triglyceride = 225.28 ± 148.32, 159.68 ± 68.62, and 161.09 ± 73.06, respectively) (p < 0.05). HbA1c% level decreased significantly only in the post-test. However, no significant differences were found in terms of other metabolic parameters (p > 0.05).

Conclusions
This result shows the positive effectiveness of tele-nursing based MI intervention on self-efficacy, self-management, HbA1c%, FBG, triglyceride. Public health nurses should be provided with tele-nursing based MI to individuals with type 2 diabetes in primary health care institutions.
Study registration.

The study was registered in ClinicalTrials NCT05628259 (prospective).
Trial registration number and date of registration for prospectively registered trials.
The study was registered in ClinicalTrials NCT05628259 (prospective). 2023–02-01.
Multi-stakeholder marketing: mapping the field
Authors: Civera Chiara , Casalegno Cecilia , Morelli Brigida , Chiaudano Valentina 
Published: February 2025

Abstract
Multi-stakeholder marketing is growing in importance, both in theory and practice. However, it still appears poorly conceptualized as an integrated discipline, and its applications are untapped. Therefore, this paper delves into such a concept by conducting a systematic literature review (SLR) to uncover how multi-stakeholder marketing has evolved, its applications for marketing and societal outcomes, and future research and practical directions. Our findings, overall, reveal a growing consensus among scholars on the importance of engaging diverse stakeholders in marketing value-creation processes, moving from narrow to interconnected relationships. We outline that most studies addressing multi-stakeholder marketing appear in the traditional marketing field rather than the corporate and/or social/green marketing segments. However, they are still dominated by an instrumental perspective that leverages multi-stakeholder engagement to serve pure marketing scopes, such as creating a competitive advantage and leaving social issues aside. While still residual, this represents an advancement in the field, and we argue that traditional marketing strategies should broaden their applications by engaging interconnected stakeholder groups that naturally open the traditional marketing boundaries to society. We provide our conceptualization of multi-stakeholder marketing, including key characteristics, based on observed best practices and arguments, which will serve as a basis to elaborate practically and theoretically in the future.
Comprehensive Gene Expression Analysis in Papillary Thyroid Carcinoma Reveals a Transcriptional Profile Associated with Reduced Radioiodine Avidity
Authors: Condello Vincenzo , Marchettini Carlotta , Ihre-Lundgren Catharina , Nilsson Joachim N. , Juhlin C. Christofer 
Published: February 2025

Abstract
Papillary thyroid carcinoma (PTC) is the most common form of well-differentiated thyroid cancer (WDTC) and generally has a favorable prognosis. However, subsets of these tumors can metastasize, leading to aggressive disease progression and poorer clinical outcomes. Radioactive iodine (RAI) therapy is routinely given in the adjuvant setting following thyroidectomy and lymph node dissection for WDTC. Nevertheless, its therapeutic efficacy is limited to tumors with high iodine avidity. Early post-surgical classification of thyroid cancers as either iodine-avid or refractory is crucial for enabling more personalized and effective treatment strategies. In this study, we aimed to identify transcriptomic determinants associated with RAI refractoriness (RAI-R) to improve prognostication. We collected clinicopathologic data and conducted RNA-seq on 36 tissue samples (18 high-avidity and 18 low-avidity), each uniquely characterized by ex vivo iodine concentration measurements taken directly from surgical specimens. Whole-transcriptomic analysis identified 63 differentially expressed genes, with six (S100A4, CRTC2, ANO1, WWTR1, DEPTOR, MT1G) showing consistent deregulation. The expression of ANO1, an established iodine transporter at the apical membrane of the thyroid follicular cells, correlated significantly with iodine avidity (r = 0.54). Validation via RT-qPCR confirmed differential expression trends. Gene ontology and pathway enrichment analyses highlighted thyroid hormone synthesis, PI3K-AKT, and MAPK signaling pathways as key regulators of RAI avidity. A refined multivariate predictive model incorporating ANO1 mRNA expression, histological subtypes, and sample type demonstrated strong predictive performance (adjusted R
2 = 0.55). These findings suggest ANO1 as a promising biomarker for predicting iodine avidity in thyroid cancer.
The benefits of a school intervention for prosocial behaviour and psychological well-being in early adolescents
Authors: Petruța Ruiu Toiu-Ruiu , Stănculescu Elena 
Published: February 2025

Abstract
Few studies have analysed programmes focused on prosocial behaviour and well-being in early adolescence. This study aims to fill this gap. The main purpose of this research was to investigate a school intervention, comprising 24 sessions conducted over 3 months, to identify the effects on (i) prosocial behaviour, conceptualised as altruistic behaviour and prosocial compliant behaviour, and psychological well-being and (ii) gender differences in all variables, at baseline and post-intervention. Data were collected from a sample of 120 early adolescents (48% males; age range 10–12, M = 11.8, SD = 0.6), 60 enrolled in the experimental group and 60 in the control group. The findings revealed increased altruistic behaviour, prosocial compliant behaviour, and well-being at post-intervention compared to baseline in the experimental group, but no differences in the control group. In addition, no significant gender differences were found at post-intervention in the experimental group; but in the control group, females enacted more helping behaviours than males did. The practical implications for school psychologists and future research directions are discussed.
Estimation of soil liquefaction using artificial intelligence techniques: an extended comparison between machine and deep learning approaches
Authors: Şehmusoğlu Eyyüp Hakan , Kurnaz Talas Fikret , Erden Caner 
Published: February 2025

Abstract
This study investigates the effectiveness of various deep learning (DL) algorithms in predicting soil liquefaction susceptibility. We explore a spectrum of algorithms, including machine learning models such as Support Vector Machines (SVMs), K-Nearest Neighbors (KNN), and Logistic Regression (LR), alongside DL architectures like Convolutional Neural Networks (CNNs), Long Short-Term Memory networks (LSTMs), Bidirectional LSTMs (BiLSTMs), and Gated Recurrent Units (GRUs). The performance of these algorithms is assessed using comprehensive metrics, including accuracy, precision, recall, F1-score, receiver operating characteristic (ROC) curve analysis, and area under the curve (AUC). Cross-entropy loss is employed as the loss function during model training to optimize the differentiation between liquefiable and non-liquefiable soil samples. Our findings reveal that the GRU model achieved the highest overall accuracy of 0.98, followed by the BiLSTM model with an accuracy of 0.95. Notably, the BiLSTM model excelled in precision for class 1, attaining a score of 0.96 on the test dataset. These results underscore the potential of both GRU and BiLSTM models in predicting soil liquefaction susceptibility, with the BiLSTM model’s simpler architecture proving particularly effective in certain metrics and datasets. The findings of this study could assist practitioners in seismic risk assessment by providing more accurate and reliable tools for evaluating soil liquefaction potential, thereby enhancing mitigation strategies and informing decision-making in earthquake-prone areas. This study contributes to developing robust tools for liquefaction hazard assessment, ultimately supporting improved seismic risk mitigation.
Modelling and understanding regulatory fit
Authors: van Ackere Ann , Larsen Erik R. 
Published: February 2025

Abstract
Understanding how regulatory interventions shape electricity markets is essential. We posit that regulation is a behavioural adaptive process, influenced by internal and external forces. We develop a system dynamics model to explore the interdependencies between regulators' reactivity, their willingness to initiate major regulatory overhauls, and market reactivity. This creates an improved understanding of the behavioural aspects of regulation, thereby putting regulators in a better position to avoid misfits often observed in the regulation of infrastructure.
The model highlights the dilemma regulators face when deciding when and how to intervene. While frequent regulatory changes are detrimental, creating a constant level of uncertainty, opting for fewer, larger, changes increases the volatility of the uncertainty perceived by the market participants. The former seems preferable, with a constant level of moderate uncertainty becoming a new normal: market participants can learn to work in this environment, without having to worry about large unpredictable changes.
This stylised model thus provides a better understanding of the problems facing regulators, both in the electricity sector and in other regulated industries characterised by significant lags between a changing reality and the regulatory consequences.
Adaptable Low-Temperature Resistor Standard Composed of ITO thin Film
Authors: Złotnik Sebastian , Nyga Małgorzata , Morawiak Przemysław , Rzodkiewicz Witold , Bruszewski Patryk , Kojdecki Marek A. , Wróbel Jerzy , Wróbel Jarosław 
Published: February 2025

Abstract
Herein, we present indium tin oxide (ITO) as a promising candidate for developing adaptable standard resistors. The ITO thin-film device structures exhibit an average resistivity of approx. 1.5 × 10–4 Ω ⋅ cm, demonstrating remarkable stability in resistance values over time and showcasing temperature-independent magnetoresistance, making them reliable for various applications. ITO resistor structures were found to be optimal with an area ≥10–7 cm2, without observed additional series resistance. The temperature dependence of resistance values changes by approx. 10% within a broad temperature range of 5–310 K in a predictable and repeatable way. Unlike traditional 2D materials, ITO can be processed without the necessity of a protective layer, facilitating easier integration into electronic circuits. Moreover, ITO demonstrates single-type electron characteristics, without hole-like contributions, being particularly suitable as a charge carrier transport control. Our experimental findings indicate that resistors made of ITO-coated glass thin films present a viable alternative to standard chip-type passive components, which are commonly used in electronic devices. This work highlights the potential of ITO as a durable and flexible material for advanced electronics, enabling the design of next-generation resistive elements that can adapt to varying operational conditions.

Graphical Abstract