bluuebunny/crossref_metadata_2025_split huggingface dataset:
How to detect fraud in an audit: a systematic review of experimental literature
Authors: Tümmler Marcel , Quick Reiner 
Published: January 2025

AbstractThis paper reviews the experimental literature on fraud detection by external auditors. We conduct a systematic literature review that includes 37 experimental studies on fraud detection from the JSTOR, EBSCO, and WoS (Web of Science) databases and from SSRN. We present a theoretical background on fraud models and common fraud detection methods. Our review covers results of studies on fraud brainstorming and fraud risk assessment, on fraud detection from interviews, inquiries, text, and speech. We also reveal the outcome of studies focusing on the effect of attention, accountability, and the evaluation of audit evidence on fraud detection. These studies show that interventions like priming, and additional instructions on fraud consideration or game-like elements enhance auditor awareness of fraud cues, thus improving brainstorming, risk assessment, and the evaluation of audit evidence. Finally, the paper considers the limitations and criticisms of the presented studies, and future research avenues in fraud detection.
Application of the Weyl Calculus Perspective on Discrete Octonionic Analysis in Bounded Domains
Authors: Kraußhar Rolf Sören , Legatiuk Anastasiia , Legatiuk Dmitrii 
Published: January 2025

Abstract
In this paper, we extend the discrete octonionic analysis by presenting a Weyl calculus-based approach to bounded domains in

$${\mathbb {R}}^{8}$$

R

8

. In particular, we explicitly prove the discrete Stokes formula for a bounded cuboid, and then we generalise this result to arbitrary bounded domains in interior and exterior settings by the help of characteristic functions. After that, discrete interior and exterior Borel-Pompeiu and Cauchy formulae are introduced. Finally, we recall the construction of discrete octonionic Hardy spaces for bounded domains. Moreover, we explicitly explain where the non-associativity of octonionic multiplication is essential and where it is not. Consequently, the results presented in this paper provide tools to address boundary value problems in bounded domains.
Transcatheter Caval Implantation for Severe Tricuspid Regurgitation
Authors: Chen Vincent , Abdul-Jawad Altisent Omar , Puri Rishi 
Published: January 2025

Abstract
Purpose of Review
We describe the evolution of caval valve implantation (CAVI) as a treatment for severe symptomatic tricuspid regurgitation (TR) in the high surgical risk patient.

Recent Findings
Surgical treatment of severe TR is often limited by the high surgical risk of the patients who tend to develop severe secondary TR. Coaptation, annuloplasty, and orthotopic replacement strategies are all limited by annular and leaflet geometry, prior valve repair, and the presence of cardiac implantable device leads. CAVI appears to be a treatment strategy for severe symptomatic TR that improves functional capacity and quality of life while also reducing edema and ascites and improving cardiac output. Chronic kidney disease is a common comorbidity of patients with severe TR; zero-contrast CAVI has been described.

Summary
Severe TR is undertreated, yet common in the elderly structural heart disease population. The evolution of CAVI as a viable treatment for severe TR underscores the deleterious systemic contribution of backwards flow to morbidity and mortality. There are good safety and efficacy outcomes from registry data using the TricValve platform. Randomized controlled trials for CAVI versus medical therapy for severe TR are ongoing.
Performance of Convolutional Neural Network Models in Meningioma Segmentation in Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis
Authors: Wang Ting-Wei , Hong Jia-Sheng , Lee Wei-Kai , Lin Yi-Hui , Yang Huai-Che , Lee Cheng-Chia , Chen Hung-Chieh , Wu Hsiu-Mei , You Weir Chiang , Wu Yu-Te 
Published: January 2025

Abstract

Background
Meningioma, the most common primary brain tumor, presents significant challenges in MRI-based diagnosis and treatment planning due to its diverse manifestations. Convolutional Neural Networks (CNNs) have shown promise in improving the accuracy and efficiency of meningioma segmentation from MRI scans. This systematic review and meta-analysis assess the effectiveness of CNN models in segmenting meningioma using MRI.

Methods
Following the PRISMA guidelines, we searched PubMed, Embase, and Web of Science from their inception to December 20, 2023, to identify studies that used CNN models for meningioma segmentation in MRI. Methodological quality of the included studies was assessed using the CLAIM and QUADAS-2 tools. The primary variable was segmentation accuracy, which was evaluated using the Sørensen–Dice coefficient. Meta-analysis, subgroup analysis, and meta-regression were performed to investigate the effects of MRI sequence, CNN architecture, and training dataset size on model performance.

Results
Nine studies, comprising 4,828 patients, were included in the analysis. The pooled Dice score across all studies was 89% (95% CI: 87–90%). Internal validation studies yielded a pooled Dice score of 88% (95% CI: 85–91%), while external validation studies reported a pooled Dice score of 89% (95% CI: 88–90%). Models trained on multiple MRI sequences consistently outperformed those trained on single sequences. Meta-regression indicated that training dataset size did not significantly influence segmentation accuracy.

Conclusion
CNN models are highly effective for meningioma segmentation in MRI, particularly during the use of diverse datasets from multiple MRI sequences. This finding highlights the importance of data quality and imaging sequence selection in the development of CNN models. Standardization of MRI data acquisition and preprocessing may improve the performance of CNN models, thereby facilitating their clinical adoption for the optimal diagnosis and treatment of meningioma.
Investigating the relationship between impulsive behaviors and Turkish pedestrians’ attitudes based on sociodemographic factors
Authors: Aktaşª Alev , Sümer Edanur , Çiçek Narin 
Published: January 2025

AbstractPedestrian attitude is an important issue in road safety. In order to understand pedestrian attitudes, it is necessary to study their sociodemographic and psychological characteristics. With respect to this, the aim of the study was to examine age and sex differences in impulsive behavior and the role of impulsive behavior on pedestrian attitudes in Türkiye. A total of 347 Turkish pedestrians (145 male, 202 female) completed the Pedestrian Attitude Questionnaire (PAQ), the Urgency Premeditation Perseverance Sensation Seeking (UPPS) Impulsive Behavior Scale, and a Questionnaire Form. First, the psychometric structure of the PAQ was found to support the original structure, addressing attitudes towards other road users and attitudes towards traffic rules. With increasing age, negative attitudes towards traffic rules decreased. Female pedestrians also showed more negative attitudes towards other road users. The results of hierarchical regression analyses indicate that impulsive behavior is significantly associated with pedestrian attitudes depending on sociodemographic factors. The findings suggest that pedestrians’ impulsive behavior may influence their attitudes in traffic, but this influence varies by age and sex. The outcomes have important implications for intervention studies and road safety.
Inertial Halpern-type Tseng’s method for approximating a solution to monotone inclusion problems with fixed point constraint
Authors: Ogwo Grace Nnennaya , Zinsou Bertin , Abass Hammed Anuoluwapo , Oyewole Olawale Kazeem 
Published: January 2025

AbstractIn this paper, we introduce an iterative method for approximating the common solution of a finite family of monotone inclusion problems and fixed point problem of a finite family of relatively nonexpansive mappings in reflexive Banach spaces. Our proposed method contains the inertial technique and the Halpern method. We obtain a strong convergence result without the prior knowledge of the Lipschitz constants of the mappings. Finally, we present some numerical experiments to demonstrate the applicability of our method. Several existing results in the literature are improved, extended, and generalized by our result.
Comparative Analysis of GloSea6 Hindcasts for Two Extreme El Niño Events and Their Impact on Indo-Western North Pacific Climate
Authors: Hyun Seung-Hwon , Hwang Seung-On , Liu Chao , An Soon-Il , Hyun Yu-Kyung 
Published: January 2025

Abstract
In this study, GloSea6 hindcast (HCST) from the UK Met Office is used to investigate the model prediction skill for the impacts on the East Asian summer associated with two extreme El Niño cases (1997/1998 and 2015/2016). For the 1998 case, we found that GloSea6 model is able to predict the ocean–atmosphere circulations one to two seasons ahead, including the anomalously positive sea surface temperature (SST) in the Tropical Indian Ocean (TIO) and the anomalous anticyclone (AAC) in the Western North Pacific during the spring and summer seasons. However, for the 2016 case it fails to capture the observed fast cooling of the spring TIO SST and the rapid decaying of the summer AAC, due to an overestimated linkage between the summer TIO and the precedent winter El Niño. Physically, the exaggerated model SST warming over both the eastern and western Indian Ocean suppresses the development of the surface westerly wind that enhances the summer monsoon flow in the TIO and cools the warmed SST as in the real world. According to further analysis, the sensitivity of the TIO is linked to the formation of the spring AAC, which is influenced by the longitudinal position of warm Pacific SST, causing the HCST to display a more idealized El Niño-TIO-AAC teleconnection than the observations. Thus, simulating the decaying El Niño and its teleconnection to the TIO is crucial for reliable seasonal forecasts of East Asian climate during post-El Niño summers.
Highly Efficient Gravity Data Inversion Using the TG-GPSO Algorithm: Applications in Volcanic Activity and Geothermal Exploration Studies
Authors: Elhussein Mahmoud , Diab Zein E. 
Published: January 2025

AbstractA technique for interpreting gravity data from various subsurface structures such as vertical and horizontal cylinders and spheres, is described. This technique employs the global particle swarm optimization (GPSO) algorithm on the calculated total gradient data. The primary advantage of utilizing the total gradient is that it can minimize interference from nearby sources by differentiating directional signals along both the x- and z- axes, thus reducing potential disruptive effects. This proposed approach is highly effective in geothermal investigations as it identifies various structural parameters: amplitude coefficient (Ac), depth (h), shape factor (Sf), body parameter (m), and body origin (l). Additionally, this method can estimate multi-source variables. To validate the effectiveness and versatility of this method, we applied it to reverse gravity data across five distinct scenarios. Additionally, we assessed its performance against the direct application of GPSO on raw data in two synthetic cases to highlight its advantages. This assessment was conducted under conditions of both consistent and fluctuating Gaussian noise at levels of 10% and 15%, along with two real geothermal field examples from Japan and India. The method's accuracy, and effectiveness in eliminating local background noise are showcased by the outcomes obtained from both artificial and actual data, all achieved without needing prior information about the body's shape. Importantly, the outcomes obtained from the real data closely align with those acquired using established methods, affirming the validity of this approach.
Investigation of the Change in Mechanical Properties of Concrete Subjected After High-Temperature Effect to Cyclic Lateral Load
Authors: Çolakoğlu Halit Erdem , Hüsem Metin 
Published: January 2025

AbstractThe main cause of many physical and chemical events in the world is shown as high temperature. When concrete used as a building material is exposed to high temperatures, its physical and mechanical properties change. The aim of this study is to investigate the change in compressive strength of normal strength concrete exposed to different temperatures for different periods of time when subjected to cyclic loading. For this purpose, 13 reinforced concrete frame specimens and 39 standard cylinder specimens were produced and exposed to 200, 400, 600 and 800 °C high temperatures for 60, 120 and 180 min. Then, the frame test members were allowed to cool on their own and when they reached room temperature, they were removed from the oven and tested under cyclic load. At the end of the cyclic loading tests, 26 concrete core samples were taken from the frame test members and compressive strengths were determined. As a result of the study, it was determined that thermal cracks in normal concrete caused by heat treatment lead to physical and mechanical changes, and these changes are effective in the decrease in strength. In the study, it was found that the decrease in compressive strength was more than 78% in concretes exposed to cyclic lateral loads after high-temperature effect. A comparison of the experimental strength loss curves of concrete with the design curves in the literature was also made.
A clinical audit of adverse post-nephrectomy outcomes in renal cell carcinoma patients at a tertiary hospital in Queensland, Australia
Authors: de Souza Julia Chequer , Vangaveti Venkat , Biros Erik , Mallett Andrew J. 
Published: January 2025

Abstract
Background
Renal cell carcinoma (RCC) is a common malignancy, and nephrectomy is the mainstay of treatment for non-metastatic disease. The choice of surgery depends on the risks of oncologic recurrence, kidney function decline, and perioperative complications. This study aimed to identify factors associated with adverse post-operative outcomes in RCC patients undergoing nephrectomy at Townsville University Hospital (TUH).

Methods
This was a retrospective, quality assessment study of all adult patients undergoing either open or laparoscopic, partial, or radical nephrectomy for suspected RCC at TUH between January 1, 2016, and December 31, 2020. Patients were identified from the Queensland Health Admitted Data Collection, with a median follow-up time of 39 months post-operatively.

Results
Sixty patients were included; 71.7% underwent radical nephrectomy, and 63.3% were treated with a laparoscopic approach. Adverse kidney function outcomes were identified in 76.7% of patients. In the first 30 days post-nephrectomy, the reduction in estimated glomerular filtration rate (eGFR) in the radical nephrectomy group was more than double that in the partial nephrectomy group (p < 0.001). The rise in average serum creatinine post-radical nephrectomy was more than six times that post-partial nephrectomy (p = 0.001). This discrepancy in kidney function persisted up to three years post-operatively. No significant differences in RCC recurrence, post-operative cardiovascular events, or mortality were observed between partial nephrectomy and radical nephrectomy (p = 0.665, p = 1.00, p = 0.420).

Conclusions
The balance strongly favours partial nephrectomy despite its underutilisation for patients undergoing nephrectomy for suspected non-metastatic RCC at TUH. Urology teams should weigh the factors favouring radical nephrectomy against the risks of nearly universal renal function decline in this group.

Graphical abstract
We Need Deep Theories of Virtues: Four Principles for Advancing Research on Virtues in Positive Social Science
Authors: Bright David S. , Stansbury Jason M. , Winn Bradley A. 
Published: January 2025

AbstractThis article aims to help Positive Social Science (PSS) researchers develop theories of virtues, whether of single, discrete virtues, or several virtues considered together. We argue that a weak virtue theory assumes a virtue consists of single constructs, whereas a deep virtue theory assumes a virtue is an integrated system of constructs. We briefly review indicators of weak theory in the PSS literature: definitional divergence, valence confusion, and conceptual incommensurability. Drawing from the field of Virtue Ethics, we suggest four essential attributes of a virtue that should guide the development of deep virtue theory. Any virtue is (1) holistic, in that it integrates all aspects of character, including cognition, affect, and behavior; (2) a human good, in that it is an intrinsic aspect of individual well-being and a flourishing community; (3) situationally expressed, such that prudence regulates its enactment across various situations; and (4) characteristic, in that it is a second-nature trait rather than a state. We suggest four principles that account for these attributes. Scholars might use these principles to build deep virtue theory and evaluate existing, empirically based PSS virtue theories. We propose that PSS scholars will create more robust theories, develop more defensible and meaningful measures, and generate more compelling accounts of specific virtues if they draw on these principles.
The Issue of Dark Patterns in Digital Platforms: The Challenge for Indonesia’s Consumer Protection Law
Authors: Hayati Adis Nur 
Published: January 2025

AbstractDark patterns have become a pervasive issue around the world. However, Indonesia has not taken any action to deal with the situation. This article aims to analyse the issue of dark patterns in digital platforms from Indonesia’s consumer protection law perspective. It contends that Indonesia’s consumer protection law is not adequate in overcoming the issue of dark patterns in digital platforms. Several laws regulate basic principles and provisions that indirectly prohibit dark patterns, but these regulations can only be applied to certain forms of dark patterns and are difficult to implement. The article suggests that Indonesia must specifically regulate the prohibition of the practices of dark patterns in its current law. The regulations do not have to define the term “dark patterns” directly; however, they should expressly regulate prohibitions against the practice of using design interfaces in a way that subverts or impairs consumers’ autonomy and/or exploits consumers’ behavioural biases.
Limitarianism and Relative Thresholds
Authors: Harel Ben Shahar Tammy 
Published: January 2025

Abstract
In her groundbreaking paper “Having too much” Ingrid Robeyns introduces the principle of “limitarianism,” arguing that it is morally impermissible to have more resources than needed for leading a maximally flourishing life. This paper focuses on one component of limitarian theory, namely the nature of the riches threshold, and critiques Robeyns’ absolute threshold, that limits wealth above what is needed for satiating human flourishing. The paper then suggests an alternative, relative threshold for determining excessive wealth, and also argues that limitarianism is best understood as a set of wealth-limiting principles, each with its own threshold, justifications, and conditions for operation.
Evidencing terrorism: Juridical truth-making in terrorism trials
Authors: Chukwuma Kodili Henry 
Published: January 2025

Abstract

This article explores the construction of terrorism via evidentiary practices, through the examination of terrorism trials in Nigeria. By conceptualising legal evidence – or evidencing – as a juridical practice of truth-making, the article contributes to the growing stream of critical literature on terrorism trials, and pre-emptive security more broadly, by examining the production of terrorism knowledge in light of the dominant pre-crime rationality that typically underpins counte-terrorism practice. The article highlights the complex processes and practices involved in the making of juridical truth in court and criminal justice processes, and how this enables the production and contestation of terrorism.

The article utilises important works on truth-making, alongside the contemporary literature on terrorism trials, to develop its theoretical and methodological approach. The empirical data for this study include court documents of terrorism cases in Nigeria, including those from the so-called Kainji trials, which emerged from fieldwork conducted in Abuja, Nigeria in 2020. The article demonstrates the productivity of legal evidence in the context of terrorism trials, involving different truth-makers, narratives, techniques, temporalities, and rationalities. In doing so, the article therefore contributes to the problematisation of terrorism and related issues of pre-emption, as well as the discussion on truth-making, by illustrating how the production of legal truth is shaped by different narratives, material practices, and logics in terrorism trials.
Global variation in the assessment of psychological trauma in pregnancy
Authors: Wall Kathryn , Penner Francesca , Wallace Goldman Lindsey , Shin Jin Young , Novak Eloise , Lowell Amanda , Day Michèle , Papa Lea , Wright Drew , Givrad Soudabeh , Rutherford Helena J. V. 
Published: January 2025

Abstract
A history of psychologically traumatic experiences can impact health outcomes for pregnant people and their infants. The perception and prevalence of traumatic experiences during pregnancy may differ by geographical region. To better understand trends in how and what kinds of psychological trauma are assessed globally, we conducted a secondary analysis on a larger systematic review examining psychological trauma measurement in pregnancy. Through a systematic literature review conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, completed between July 2021 and September 2023 using Ovid MEDLINE, Ovid EMBASE, Scopus, Web of Science, PsycInfo and Cochrane, we identified 576 research studies assessing psychological trauma during pregnancy that were conducted across nine geopolitical regions. Most of these studies took place in North America, followed by sub-Saharan Africa, Europe, Asia, the Middle East or Northern Africa, Oceania, South America, and Central America. The fewest number of studies was conducted across multiple regions. We found that most studies measuring psychological trauma in pregnancy across the nine geopolitical regions assessed interpersonal trauma, and the fewest number of studies assessed healthcare trauma. Moreover, for each type of psychological trauma assessed, the greatest number of studies was conducted in North America. We also found that Central America, Oceania, sub-Saharan Africa, Asia, Middle East or Northern Africa, Europe, and studies conducted across multiple regions had one-third or more studies that only used in-house assessments, rather than previously validated assessments of psychological trauma. The results of this review emphasize the need for regionally specific and culturally appropriate measures of psychological trauma for pregnant people, which prioritize the types of psychological trauma that are most common in a given region. Newly developed measures can be used for screening and treatment of patients using trauma-informed obstetric care.
Is the European Parliament a Key to Success for (All) Right-Wing Populist Parties? Two Different Pathways to Engaging with the EP
Authors: Hwang Injeong 
Published: January 2025

Abstract
This study examines the intra-party mechanism that links right-wing populist parties' electoral performance in European elections and their persistence on the national political stage. Nationally marginalized right-wing populist parties have benefited from the second-order character of European elections since the introduction of the direct election in 1979. However, not every right-wing populist party has been able to turn its European victory into a national success. The most similar system comparison of right-wing populist parties in France and the UK shows that only parties that have strategically utilized the resources provided by the European Parliament have persisted in the national political arena.