bluuebunny/crossref_metadata_2025_split huggingface dataset:
The spheroidal trackball: generalising the fixed trackball for virtual camera navigation
Authors: González-Toledo Daniel , Cuevas-Rodríguez María , Molina-Tanco Luis , Reyes-Lecuona Arcadio 
Published: February 2024

AbstractVirtual trackball techniques have become a standard in 3D applications, particularly for interfaces with limited degrees of freedom such as touchscreens or mice. The fact that we are used to them does not mean that they cannot be improved upon. Recent research has highlighted the significance of considering users’ mental models of a preferred rotation axis, as it can improve performance, perceived usability and perceived workload. Building upon these findings, this paper introduces the spheroidal trackball framework—a novel method for orbiting the virtual camera around elongated objects. The paper presents the mathematical formulation and the evaluation of the technique. The formulation offers enough information to implement the approach. The evaluation shows the advantages of this approach over the fixed spherical trackball for this class of objects, in terms of task performance, usability and perceived workload. This research constitutes an advancement in the refinement of 3D user interaction techniques, opening new avenues of innovation in this still evolving field.
Advances in the antitumor mechanisms of tripartite motif-containing protein 3
Authors: Teng Wei , Ling Yuanguo , Liu Zongwei , Jiang Lishi , Fu Genyuan , Zhou Xingwang , Long Niya , Liu Jian , Chu Liangzhao 
Published: February 2024

AbstractThe tripartite motif-containing (TRIM) protein family has steadily become a hotspot in tumor-related research. As a member of the E3 ubiquitin ligase family, TRIM is working on many crucial biological processes, including the regulation of tumor cell proliferation, metastasis, apoptosis, and autophagy. Among the diverse TRIM superfamily members, TRIM3 operates via different mechanisms in various types of tumors. This review primarily focuses on the current state of research regarding the antitumor mechanisms of TRIM3 in different cancers. A more in-depth study of TRIM3 may provide new directions for future antitumor treatments. Our review focuses on TRIM3 proteins and cancer. We searched for relevant articles on the mechanisms by which TRIM3 affects tumorigenesis and development from 1997 to 2023 and summarized the latest progress and future directions. Triad-containing motif protein 3 (TRIM3) is an important protein, which plays a key role in the process of tumorigenesis and development. The comprehensive exploration of TRIM3 is anticipated to pave the way for future advancements in antitumor therapy, which is expected to be a new hallmark for cancer detection and a novel target for drug action. TRIM3 is poised to become a significant milestone in cancer detection and a promising focal point for drug intervention. Recent years have witnessed notable progress in research aimed at unraveling the antitumor mechanism of TRIM3, with far-reaching implications for practical tumor diagnosis, treatment protocols, efficacy evaluation, economics, and pharmaceutical utilization.
Risk factors for rebleeding and mortality following prophylactic transarterial embolization for patients with high-risk peptic ulcer bleeding: a single-center retrospective cohort study
Authors: Zetner Dennis , Rasmussen Ida Roost , Frykman Camilla Palmquist , Jensen Lasse Rehné , Jensen Ruben Juul , Possfelt-Møller Emma , Taudorf Mikkel , Penninga Luit 
Published: February 2024

Abstract
Background
To investigate factors associated with risk for rebleeding and 30-day mortality following prophylactic transarterial embolization in patients with high-risk peptic ulcer bleeding.

Methods
We retrospectively reviewed medical records and included all patients who had undergone prophylactic embolization of the gastroduodenal artery at Rigshospitalet, Denmark, following an endoscopy-verified and treated peptic Sulcer bleeding, from 2016 to 2021. Data were collected from electronic health records and imaging from the embolization procedures. Primary outcomes were rebleeding and 30-day mortality. We performed logistical regression analyses for both outcomes with possible risk factors. Risk factors included: active bleeding; visible hemoclips; Rockall-score; anatomical variants; standardized embolization procedure; and number of endoscopies prior to embolization.

Results
We included 176 patients. Rebleeding occurred in 25% following embolization and 30-day mortality was 15%. Not undergoing a standardized embolization procedure increased the odds of both rebleeding (odds ratio 3.029, 95% confidence interval (CI) 1.395–6.579) and 30-day overall mortality by 3.262 (1.252–8.497). More than one endoscopy was associated with increased odds of rebleeding (odds ratio 2.369, 95% CI 1.088–5.158). High Rockall-score increased the odds of 30-day mortality (odds ratio 2.587, 95% CI 1.243–5.386). Active bleeding, visible hemoclips, and anatomical variants did not affect risk of rebleeding or 30-day mortality. Reasons for deviation from standard embolization procedure were anatomical variations, targeted treatment without embolizing the gastroduodenal artery, and technical failure.

Conclusions
Deviation from the standard embolization procedure increased the risk of rebleeding and 30-day mortality, more than one endoscopy prior to embolization was associated with higher odds of rebleeding, and a high Rockall-score increased the risk of 30-day mortality. We suggest that patients with these risk factors are monitored closely following embolization. Early detection of rebleeding may allow for proper and early re-intervention.

Graphical abstract
Supportive care needs and associated factors among caregivers of patients with colorectal cancer: a cross-sectional study
Authors: Zhang Menghan , Wang Xin , Shao Mengwei , Du Ruofei , Zhou Huiyue , Zhu Jizhe , Zhang Haoning , Ma Bin , Chen Changying , Wang Tao 
Published: February 2024

AbstractTo assess the level of supportive care needs of caregivers of colorectal cancer patients and explore the related key influencing factors. Totaling 283 caregivers of patients with colorectal cancer were investigated in this study. Firstly, caregivers were invited to complete a set of questionnaires, including the general information questionnaire, the Supportive Care Needs Survey-Partners and the Caregivers of cancer patients, the Caregiver Preparedness Scale, the Benefit Finding Scale, and the Comprehensive Score for Financial Toxicity. Univariate and multivariate linear regression were performed to investigate the associated factors of supportive care needs. The caregivers of patients with colorectal cancer have a moderate level of needs, scored at 2.71 ± 0.42. Caregiver preparedness, benefit finding, and financial toxicity were significantly negatively associated with the supportive care needs of caregivers (r =  − 0.555, P < 0.001; r =  − 0.534, P < 0.001; and r =  − 0.615, P < 0.001, respectively). Our multivariate regression analysis identified some factors that directly affected the supportive care needs of caregivers, including the duration of illness, tumor stage, the age and educational level of caregivers, caregiver preparedness, benefit finding, and financial toxicity (R2 = 0.574, F = 23.337, P < 0.001). Supportive care needs are common among caregivers of colorectal cancer patients. Higher caregiver preparedness, benefit finding, and financial toxicity tend to ease these needs. Healthcare workers should have an in-depth understanding of the needs of caregivers of colorectal cancer patients and actively provide targeted financial/informational/technical/emotional support to promote nursing skills and reduce caregivers’ burdens.
Investigating psychological mechanisms linking pain severity to depression symptoms in women cancer survivors at a cancer center with a rural catchment area
Authors: Chow Philip I. , Cohn Wendy F. , Finan Patrick H. , Eton David T. , Anderson Roger T. 
Published: February 2024

Abstract
Purpose
Women cancer survivors, especially those in rural areas, with high levels of depression may be acutely susceptible to pain due to the ways they think, feel, and behave. The current study seeks to elucidate the relationship between symptoms of depression and pain severity in women cancer survivors, by examining the putative mediators involved in this relationship, specifically their self-efficacy for managing their health, how overwhelmed they were from life’s responsibilities, and relational burden.

Methods
Self-report data were collected from 183 cancer survivors of breast, cervical, ovarian, or endometrial/uterine cancer, who were between 6 months and 3 years post-active therapy.

Results
Women cancer survivors with higher (vs. lower) symptoms of depression had more severe pain. Individual mediation analyses revealed that survivors with higher levels of depression felt more overwhelmed by life’s responsibilities and had lower self-efficacy about managing their health, which was associated with greater pain severity. When all mediators were simultaneously entered into the same model, feeling overwhelmed by life’s responsibilities significantly mediated the link between survivors’ symptoms of depression and their pain severity.

Conclusions
The relationship between symptoms of depression and pain severity in women cancer survivors may be attributed in part to their self-efficacy and feeling overwhelmed by life’s responsibilities. Early and frequent assessment of psychosocial factors involved in pain severity for women cancer survivors may be important for managing their pain throughout the phases of cancer survivorship.
MCMSTStream: applying minimum spanning tree to KD-tree-based micro-clusters to define arbitrary-shaped clusters in streaming data
Authors: Erdinç Berfin , Kaya Mahmut , Şenol Ali 
Published: February 2024

AbstractStream clustering has emerged as a vital area for processing streaming data in real-time, facilitating the extraction of meaningful information. While efficient approaches for defining and updating clusters based on similarity criteria have been proposed, outliers and noisy data within stream clustering areas pose a significant threat to the overall performance of clustering algorithms. Moreover, the limitation of existing methods in generating non-spherical clusters underscores the need for improved clustering quality. As a new methodology, we propose a new stream clustering approach, MCMSTStream, to overcome the abovementioned challenges. The algorithm applies MST to micro-clusters defined by using the KD-Tree data structure to define macro-clusters. MCMSTStream is robust against outliers and noisy data and has the ability to define clusters with arbitrary shapes. Furthermore, the proposed algorithm exhibits notable speed and can handling high-dimensional data. ARI and Purity indices are used to prove the clustering success of the MCMSTStream. The evaluation results reveal the superior performance of MCMSTStream compared to state-of-the-art stream clustering algorithms such as DenStream, DBSTREAM, and KD-AR Stream. The proposed method obtained a Purity value of 0.9780 and an ARI value of 0.7509, the highest scores for the KDD dataset. In the other 11 datasets, it obtained much higher results than its competitors. As a result, the proposed method is an effective stream clustering algorithm on datasets with outliers, high-dimensional, and arbitrary-shaped clusters. In addition, its runtime performance is also quite reasonable.
Deep Learning Glioma Grading with the Tumor Microenvironment Analysis Protocol for Comprehensive Learning, Discovering, and Quantifying Microenvironmental Features
Authors: Pytlarz M. , Wojnicki K. , Pilanc P. , Kaminska B. , Crimi A. 
Published: February 2024

AbstractGliomas are primary brain tumors that arise from neural stem cells, or glial precursors. Diagnosis of glioma is based on histological evaluation of pathological cell features and molecular markers. Gliomas are infiltrated by myeloid cells that accumulate preferentially in malignant tumors, and their abundance inversely correlates with survival, which is of interest for cancer immunotherapies. To avoid time-consuming and laborious manual examination of images, a deep learning approach for automatic multiclass classification of tumor grades was proposed. As an alternative way of investigating characteristics of brain tumor grades, we implemented a protocol for learning, discovering, and quantifying tumor microenvironment elements on our glioma dataset. Using only single-stained biopsies we derived characteristic differentiating tumor microenvironment phenotypic neighborhoods. The study was complicated by the small size of the available human leukocyte antigen stained on glioma tissue microarray dataset — 206 images of 5 classes — as well as imbalanced data distribution. This challenge was addressed by image augmentation for underrepresented classes. In practice, we considered two scenarios, a whole slide supervised learning classification, and an unsupervised cell-to-cell analysis looking for patterns of the microenvironment. In the supervised learning investigation, we evaluated 6 distinct model architectures. Experiments revealed that a DenseNet121 architecture surpasses the baseline’s accuracy by a significant margin of 9% for the test set, achieving a score of 69%, increasing accuracy in discerning challenging WHO grade 2 and 3 cases. All experiments have been carried out in a cross-validation manner. The tumor microenvironment analysis suggested an important role for myeloid cells and their accumulation in the context of characterizing glioma grades. Those promising approaches can be used as an additional diagnostic tool to improve assessment during intraoperative examination or subtyping tissues for treatment selection, potentially easing the workflow of pathologists and oncologists.
Graphical Abstract
URI-CADS: A Fully Automated Computer-Aided Diagnosis System for Ultrasound Renal Imaging
Authors: Molina-Moreno Miguel , González-Díaz Iván , Rivera Gorrín Maite , Burguera Vion Víctor , Díaz-de-María Fernando 
Published: February 2024

AbstractUltrasound is a widespread imaging modality, with special application in medical fields such as nephrology. However, automated approaches for ultrasound renal interpretation still pose some challenges: (1) the need for manual supervision by experts at various stages of the system, which prevents its adoption in primary healthcare, and (2) their limited considered taxonomy (e.g., reduced number of pathologies), which makes them unsuitable for training practitioners and providing support to experts. This paper proposes a fully automated computer-aided diagnosis system for ultrasound renal imaging addressing both of these challenges. Our system is based in a multi-task architecture, which is implemented by a three-branched convolutional neural network and is capable of segmenting the kidney and detecting global and local pathologies with no need of human interaction during diagnosis. The integration of different image perspectives at distinct granularities enhanced the proposed diagnosis. We employ a large (1985 images) and demanding ultrasound renal imaging database, publicly released with the system and annotated on the basis of an exhaustive taxonomy of two global and nine local pathologies (including cysts, lithiasis, hydronephrosis, angiomyolipoma), establishing a benchmark for ultrasound renal interpretation. Experiments show that our proposed method outperforms several state-of-the-art methods in both segmentation and diagnosis tasks and leverages the combination of global and local image information to improve the diagnosis. Our results, with a 87.41% of AUC in healthy-pathological diagnosis and 81.90% in multi-pathological diagnosis, support the use of our system as a helpful tool in the healthcare system.
Rabi-oscillation spectroscopy of the hyperfine structure of the muonium atom for high-precision determination of the muon mass
Authors: Torii Hiroyuki A. 
Published: February 2024

AbstractMuonium (Mu) is a hydrogenlike atom comprising a positive muon and an electron, both pointlike leptons. Spectroscopy of Mu is a promising method in the search for new physics in particle-physics research, superior to that of hydrogen for which the uncertainty in the proton radius and its internal structure gives limitations. Microwave spectroscopy of the Mu hyperfine structure (HFS) provides the most precise estimation of the magnetic moment and the mass of the muon, opening a way to search for a physics beyond the Standard Model. MuSEUM Collaboration is studying Mu-HFS at the J-PARC muon facility in Japan, aiming at a precision one order of magnitude better than before. With our new spectroscopic technique which does not require any frequency sweep or Fourier transformation, the resonance frequency can be obtained directly by fitting a simulated function to the time evolution of the Rabi oscillation at a fixed microwave frequency. This method, named Rabi-oscillation spectroscopy, can improve the precision by eliminating systematic uncertainties due to power fluctuations. After a decade of our study under zero magnetic field with fruitful results, we are about to start our experiment under a high magnetic field.
No such thing as a free movie? Cross-country evidence on the potential impact of AVOD streaming services
Authors: McKenzie Jordi , Crosby Paul , Collins Alan , Chmura Thorsten 
Published: February 2024

AbstractThis study investigates potential disruption from advertising-based video-on-demand (AVOD) streaming for new-release in-home films. Using stated-preference discrete choice experiments on representative samples from four major countries, we model demand and examine substitution patterns between AVOD and the incumbent transactional video-on-demand (TVOD) model. In addition, we consider illegal streaming alternatives, including the possibility of using a VPN to provide anonymity of the unlawful activity. We find strong preferences for AVOD across each country sample, with large cross-price substitution patterns away from TVOD. An entry simulation exercise provides back-of-the-envelope estimates for ad pricing required to offset reduced revenues if AVOD were offered alongside TVOD for new-release in-home films.
Thorium anomaly on the lunar surface and its indicative meaning
Authors: Zhang Jingyi , Liu Jianzhong 
Published: February 2024

AbstractThe Moon has been divided into three terranes: Procellarum KREEP Terrane (PKT), Feldspathic Highland Terrane (FHT), and South Pole-Aitken Terrane (SPAT), using globally measured Th and FeO. Many lunar evolution models have predicted that a lunar magma ocean will produce a residual layer enriched in incompatible elements such as K, REE, and P (i.e., KREEP) in the late age of crystallization; and that the distribution of thorium can be used as a proxy for determining the global distribution of KREEP. The thorium distribution in these three terranes is inhomogeneous. The highest concentration of thorium is in PKT, the medium concentration of thorium is in SPAT, and almost none in FHT. Then what is the specific distribution in each of the terrane and what enlightenment can it tell us? Here we present and describe the detailed thorium distribution in PKT, SPAT, and FHT and provide some information for the origin of asymmetries on the lunar surface.
News and ESG investment criteria: What’s behind it?
Authors: Pikatza-Gorrotxategi Naiara , Borregan-Alvarado Jon , Ruiz-de-la-Torre-Acha Aitor , Alvarez-Meaza Izaskun 
Published: February 2024

Abstract
News written in the press about different companies generates consumer feelings that can condition the reputation of these companies and, consequently, their financial results. One of the practices that might improve a company’s reputation is the Environmental, Social and Governance (ESG) investment criteria. In this research, using Natural Language Processing techniques like Sentiment Analysis and Word2Vec, we detected those ESG-related terms that the written press uses in news articles about companies. Thus, we have been able to discover and analyze those terms that improve sympathy toward companies, and those that worsen it. Our findings show that those terms related to sustainable development, good social practices and ethical governance improve the general public’s opinion of a company, while those related to greenwashing and socialwashing worsen it. Therefore, this methodology is valid for enabling companies to detect those terms that improve or worsen their reputation, and thus help them make decisions that improve their image.
How UEFA can react to the Super League ruling
Authors: van der Burg Tsjalle 
Published: February 2024

AbstractAccording to the European Superleague Company ruling of 21 December 2023, the UEFA rules for the approval of football competitions are inadequate. In search of better rules, this paper proposes three criteria for the approval of competitions: they should (1) improve welfare; (2) reflect the preferences of the consumers (football fans); and (3) be compatible with competition law. All Super Leagues proposed before 2022 would not have met criteria 1 and 3 in any case, as they would have reduced welfare and would have reduced the competition in consumer markets in a way incompatible with competition law. The same holds (or is likely to hold) for the reforms of the Champions League that UEFA has made since 1998 in reaction to threats of big clubs to start a Super League. However, if UEFA improves its own competitions in line with the criteria above, it should be able to outcompete the organizers of alternative competitions.
ISU, Royal Antwerp, European Superleague & employment relations in sport
Authors: O’Leary Leanne 
Published: February 2024

AbstractThe ISU, Royal Antwerp and the European Superleague cases have upheld athletes’ individual employment rights and provided access to national courts to challenge overly restrictive measures pursuant to EU competition law, amongst other things. The immediate impact on the labour relations environment in sport, however, is less obvious. This article discusses the effects of the CJEU decisions for employment relations and the broader trade union movement in sport. It considers the decisions’ effect on collective bargaining, highlights the effectiveness of independent players’ associations as a countervailing power to regulatory power and discusses whether the decisions may be a catalyst for the greater use of social dialogue as a mode of governance insofar as concerns regulation of the labour market.