bluuebunny/crossref_metadata_2025_split huggingface dataset:
Can Angiography Be Planned Based on Specific CT Signs of Ongoing Soft Tissue Bleeding in COVID-19 Patients Receiving Anticoagulants?
Authors: Polyaev A. Yu. , Tyagunov A. E. , Stradymov E. A. 
Published: May 2024

Background. Anticoagulant therapy is recommended as basic medical treatment for COVID-19 patients with risk factors. At the same time, it is accompanied by a large number of hemorrhagic complications. Massive bleeding into abdominal and chest walls soft tissues as well as retroperitoneal space significantly worsens the course of underlying disease.Objective: to assess the prognostic value of specific CT signs and their correlation with angiography data for the diagnosis of ongoing bleeding into soft tissues in COVID-19 patients.Material and methods. A retrospective study was conducted, in which multi-slice computed tomography (MSCT) and angiography data were assessed and compared in 60 COVID-19 patients with spontaneous bleeding into chest and abdominal wall soft tissues as well as retroperitoneal space. A retrospective analysis of MSCT was carried out to identify symptoms specific to coagulopathic bleeding into soft tissues: contrast agent extravasation, hematocrit effect, and signal flare phenomenon.Results. Contrast agent extravasation identified by MSCT was confirmed in 57 (95%) patients. More often (39 (68.4%) patients), extravasation was detected in MSCT arterial phase. In MSCT venous phase it was noted in 17 (29.8%) cases, in delayed phase – in 1 (1.8%) patient. With native MSCT, hematoma contained clots and fluid level (hematocrit effect) in 43 (71.7%) patients, in 17 (28.3%) patients it had a homogeneous structure. With intravenous contrast, in 39 (90.7%) cases with fluid level the signal flare phenomenon was established, which was more often detected in the arterial phase (33 (84.6%) cases). Extravasation was detected on angiography in 27 (45%) patients; they underwent therapeutic embolization. In another 15 patients preventive embolization was performed. When extravasation into hematoma without fluid level on MSCT (13 cases), extravasation on angiography was detected in 4 (30.8%) patients. In the presence of extravasation into hematoma with fluid level, but without signal flare phenomenon (4 patients) it was noted on angiography in 1 case. In the presence of all three signs (extravasation, hematocrit effect, and signal flare phenomenon – 39 patients), the incidence of extravasation on angiography was the highest – 56.4% (p = 0.028), and patients more often required therapeutic embolization.Conclusion. Detection of extravasation, fluid level and signal flare phenomenon on MSCT in the structure of spontaneous hematoma in COVID-19 patients corresponded to ongoing bleeding and more often required embolization than in isolated extravasation.
PPI-hotspotID: A Method for Detecting Protein-Protein Interaction Hot Spots from the Free Protein Structure
Authors: Chen Yao Chi , Sargsyan Karen , Wright Jon D , Chen Yu-Hsien , Huang Yi-Shuian , Lim Carmay 
Published: May 2024

Abstract

Experimental detection of residues critical for protein-protein interactions (PPI) is a time-consuming, costly, and labor-intensive process. Hence, high-throughput PPI-hot spot prediction methods have been developed, but they have been validated using relatively small datasets, which may compromise their predictive reliability. Here, we introduce PPI-hotspotID, a novel method for identifying PPI-hot spots using the free protein structure, and validated it on the largest collection of experimentally confirmed PPI-hot spots to date. We show that PPI-hotspotID outperformed FTMap and SPOTONE, the only available webservers for predicting PPI hotspots given free protein structures and sequences, respectively. When combined with the AlphaFold-Multimer-predicted interface residues, PPI-HotspotID, yielded better performance than either method alone. Furthermore, we experimentally verified the PPI-hot spots of eukaryotic elongation factor 2 predicted by PPI-hotspotID. Notably, PPI-hotspotID unveils PPI-hot spots that are not obvious from complex structures, which only reveal interface residues, thus overlooking PPI-hot spots in indirect contact with binding partners. Thus, PPI-hotspotID serves as a valuable tool for understanding the mechanisms of PPIs and facilitating the design of novel drugs targeting these interactions. A freely accessible web server is available at https://ppihotspotid.limlab.dnsalias.org/ and the source code for PPI-hotspotID at https://github.com/wrigjz/ppihotspotid/.
Supporting Teams with Designing for Dissemination and Sustainability: the Design, Development, and Usability of a Digital Interactive Platform
Authors: Kepper Maura , L'Hotta Allison , Shato Thembekile , Kwan Bethany M. , Glasgow Russell E. , Luke Douglas , Graham Andrea K. , Baumann Ana A. , Brownson Ross C. , Morse Brad 
Published: May 2024

Abstract

Background: The use of Designing for Dissemination and Sustainability (D4DS) principles and methods can support the development of research products (interventions, tools, findings) to match well with the needs and context of the intended audience and setting. D4DS principles and methods are not well-known or used during clinical and public health research; research teams would benefit from applying D4DS. This paper presents the development of a new digital platform for teams to learn and apply a D4DS process to their work.
Methods: A user-centered design (UCD) approach engaged users (n=14) and an expert panel (n=6) in an iterative design process from discovery to prototyping and testing. We led five design sessions using Zoom and Figma software over a 5-month period. Users (71% academics; 29% practitioners) participated in at least 2 sessions. Following design sessions, feedback from users were summarized and discussed to generate design decisions. A prototype was then built and heuristically tested with 11 users who were asked to complete multiple tasks within the platform while verbalizing their decision-making using the ‘think aloud’ procedure. The System Usability Scale (SUS) was administered at the end of each testing session. After refinements to the platform were made, usability was reassessed with 7 of 11 same users to examine changes.
Results: The interactive digital platform (the D4DS Planner) has two main components: 1) the Education Hub (e.g., searchable platform with literature, videos, websites) and 2) the Action Planner. The Action Planner includes 7 interactive steps that walk users through a set of activities to generate a downloadable D4DS action plan for their project. Participants reported that the prototype tool was moderately usable (SUS=66) but improved following refinements (SUS=71).
Conclusions: This is a first of its kind tool that supports research teams in learning about and explicitly applying D4DS to their work. The use of this publicly available tool may increase the adoption, impact, and sustainment of a wide range of research products. The use of UCD yielded a tool that is easy to use. The future use and impact of this tool will be evaluated, and the tool will continue to be refined and improved.
Evaluation of alternative prognostic thresholds for SP142 and 22C3 immunohistochemical PD-L1 expression in triple-negative breast cancer: results from a population-based cohort
Authors: Sigurjonsdottir Gudbjörg , De Marchi Tommaso , Ehinger Anna , Hartman Johan , Ullén Susann , Leandersson Karin , Bosch Ana , Staaf Johan , Killander Fredrika , Niméus Emma 
Published: May 2024

Abstract

Background
Immune checkpoint inhibitors are now a part of the treatment arsenal for triple-negative breast cancer (TNBC) but refinement of PD-L1 as a prognostic and predictive biomarker is a clinical priority. We aimed to evaluate the relevance of novel PD-L1 immunohistochemical (IHC) thresholds in TNBC with regards to PD-L1 gene expression, prognostic value, tumor infiltrating lymphocytes (TILs) and TNBC molecular subtypes.
Material & Methods
We evaluated PD-L1 on a tissue microarray with the SP142 (immune cell (IC) score) and the 22C3 (combined positive score; CPS) IHC assays and evaluated abundance of TILs in a population-based cohort of 237 early-stage TNBC patients. Survival analysis was performed and RNA sequencing data employed for molecular profiling.
Results
As expected, PD-L1 positivity (IC ≥1% and/or CPS ≥1) was significantly associated with better prognosis compared to zero PD-L1 expression. Importantly however, also patients with intermediate expression (IC >0%, <1%; CPS >0, <1) showed a trend towards improved outcome. Tumors with intermediate PD-L1 IHC expression also had intermediate PD-L1 (CD274) gene expression (mRNA). Patients that were both low in TILs (<30%) and PD-L1 (IC <1%; CPS <1), tended to have the poorest prognosis.
PD-L1 positive tumors clustered significantly more often as Immunomodulatory-high and Basal-Like 1-high TNBC molecular subtypes and were enriched in immune response and cell cycle/proliferation signaling pathways. PD-L1-zero tumors on the other hand were enriched in cell growth, differentiation and metastatic potential pathways and clustered more prevalently as Luminal-Androgen-Receptor-high and Mesenchymal-high. PD-L1-intermediate tumors categorized with neither PD-L1-positive nor PD-L1-zero tumors on the hierarchical clustering level, consigning them as a unique subgroup.
Conclusion
With both SP142 and 22C3, we identified an intermediate IHC PD-L1 group within TNBCs that was supported on the molecular level. Any PD-L1 IHC expression, even though it is <1, tended to have positive prognostic impact. We suggest that the generally accepted threshold of PD-L1 IHC positivity in TNBC should be investigated further.
Trial Registration The Swedish Cancerome Analysis Network – Breast (SCAN-B) study was retrospectively registered 2nd Dec 2014 at ClinicalTrials.gov; ID NCT02306096.
Identification of anoikis-related tumor microenvironment characteristics and prognostic signature in ovarian cancer at bulk and single-cell levels
Authors: Tang Zhenye , Zhou Chenfei , Xu Yinyin , Huang Shuting , Liu Yueyang , Chen Jing , Jin Ping , Hu Jiemei , He Shanyang 
Published: May 2024

Abstract

Background
Ovarian cancer (OC) is one of the deadliest malignancies affecting women globally. Anoikis, a critical process that prevents the establishment of detached cells in non-native sites, is closely associated with cancer cell aggressiveness and poor patient outcomes. Despite its significance, research into the prognostic impact of anoikis-related genes (ARGs) in OC remains scant.
Methods
Single-cell RNA sequencing (scRNA-seq) was adopted to analyze anoikis activity using 41 ARGs across diverse cell types. The genomic and clinicopathological data was sourced from GSE26712 project (training cohort) and TCGA-OV project (independent validation set), respectively. Cox regression and the least absolute shrinkage and selection operator (LASSO) technique were utilized to develop an anoikis-related risk score (ANRS) for prognosis evaluation. Additionally, the correlation between ANRS and tumor microenvironment (TME) characteristics was explored. Functional experiments were conducted to elucidate the molecular role of the key gene AP1S2 in OC.
Results
Survival analyses in both cohorts categorized OC patients into two groups based on the median ANRS. The high-ANRS category exhibited evidently worse survival outcomes. Our findings highlighted a strong link between ARGs and TME characteristics, particularly the stromal components, at both bulk and single-cell transcriptomic levels. This underscores the complex interplay between cancer progression and the tumor-promoting stroma. Additionally, AP1S2 knockdown markedly reduced the proliferative and aggressive capabilities of OC cells.
Conclusion
The ANRS-derived prognostic tool offers substantial promise for advancing our understanding of OC progression and assisting gynecologists in developing effective treatment strategies for women suffering from this malignancy.
Poor Outcome in Infants with Shone’s Complex and Mitral Valve Stenosis is Associated with Ventricular Septal Defect, Pulmonary Vascular Disease and Residual Left Heart Obstruction
Authors: Curry Alexandra , Ashouri Judy , Moon-Grady Anita J. , Nawaytou Hythem 
Published: May 2024

Abstract

Objective
Infants born with multilevel left heart obstructive lesions (Shone’s complex), especially with mitral valve stenosis (MS), often require multiple surgeries and have a guarded prognosis. We aim to describe the characteristics of this cohort, with emphasis on echocardiographic and hemodynamic features associated with poor outcomes after biventricular repair.
Methods
Retrospective study of infants with Shone’s complex and MS between January 2016 – January 2021, who underwent biventricular surgical repair. Demographic data, cardiac catheterization and surgical reports were collected and longitudinal echocardiograms were re-analyzed. Poor outcomes were defined as death, heart transplantation or chronic mechanical ventilation.
Results
The cohort consisted of 12 patients, 8/12 with prenatal diagnosis, 11/12 male, 8/12 underwent cardiac catheterization and 7/12 had poor outcomes (5 deaths, 1 heart transplant, 1 chronic mechanical ventilation). Prenatal left to right foraminal flow (1/8) and retrograde flow in the distal aortic arch (3/8) were associated with poor outcome. Presence of a ventricular septal defect (5/12), more than mild residual mitral stenosis (5/12) or left ventricular outflow tract obstruction (3/8), and persistent pulmonary hypertension after repair (7/12) were also associated with poor outcomes. The prenatal and early postnatal size of the left heart structures and their growth were not associated with patient outcome.
Conclusion
Predictors of poor outcome in infants with multilevel left heart obstruction are related to the functional inability of the left heart to accept venous return and not to the size of the left heart structures. These findings may help family counselling and inform surgical management in the future.
Unveiling Spontaneous Renal Tubule-Like Structures from Human Adult Renal Progenitor Cell Spheroids Derived from Urine
Authors: Sallustio Fabio , Giannuzzi Francesca , Picerno Angela , Maiullari Silvia , Montenegro Francesca , Cicirelli Antonella , Stasi Alessandra , De Palma Giuseppe , Lorenzo Vito Di , Pertosa Giovanni Battista , Pontrelli Paola , Rossini Michele , Leo Vincenzo Di , Errede Mariella , Tamma Roberto , Ribatti Domenico , Gesualdo Loreto 
Published: May 2024

Abstract

The rapidly developing field of renal spheroids and organoids has emerged as a valuable tool for modeling nephrotoxicity, kidney disorders, and kidney development. However, existing studies have relied on intricate and sophisticated differentiation protocols to generate organoids and tubuloids, necessitating the external administration of multiple growth factors within precise timeframes. In our study, we demonstrated that human adult renal progenitor cells (ARPCs) isolated from urine of both healthy subjects or patients, have the capacity to form spheroids that naturally can form very long tubule-like structures. Importantly, the generation of these tubule-like formations is driven solely by ARPCs, without the need for the external use of chemokines or growth factors to artificially induce the process. These tubule-like structures exhibit expression of structural and functional renal tubule markers and bear, in some cases, striking structural similarities to various nephron regions, including the distal convoluted tubule, the loop of Henle, and proximal convoluted tubules. Furthermore, ARPC spheroids express markers typical of pluripotent cells, such as stage-specific embryonic antigen 4 (SSEA4), secrete elevated levels of renin, and showed angiogenic properties. Notably, ARPCs isolated from urine of patients with IgA nephropathy form spheroids capable of recapitulating the characteristic IgA1 deposition observed in this disease. These findings represent a significant advancement in the field, opening up new avenues for regenerative medicine in the study of kidney development, mechanisms underlying renal disorders, and the development of regenerative therapies for kidney-related ailments.
Scope on Triglyceride Levels in Elderly Dementia Patients Versus Controls: Systematic Review and Meta-Analysis
Authors: Ramadan Heba 
Published: May 2024

Abstract

Introduction
Triglyceride levels show controversial contributions in dementia patients. In this study, triglyceride levels were examined to demonstrate whether they increase or decrease in elderly dementia patients and other elderly individuals, whether there is a difference between elderly individuals with different forms of dementia and controls, and whether that difference is considered significant.
Methods
This analysis was performed via searching in Scopus, Web of Science, and Pubmed. A PRISMA checklist was followed to conduct the systematic review. The quality assessment was checked by the Newcastle-Ottawa for case-control studies. Meta-analysis was performed by SPSS, Version 28.
Results
Twenty-five studies consisting of 18943 cases and 212144 controls were included in the final analysis. Eighteen studies showed that the triglyceride levels in both patients and controls did not exceed the normal range (1.7 mmol/L or 150 mg/dl). A meta-analysis was also performed for the seven studies that revealed that triglyceride levels exceeded the normal range and no significant difference was established between the cases and controls (p-value = 0.18, 95% CI).
Conclusion
Triglyceride levels may not be a serious factor that should be considered in dementia, which differs from other areas of medicine, such as cardiovascular diseases.
Performance of Artificial Intelligence: Does artificial intelligence dream of electric sheep
Authors: Ioku Tomohiro , Kondo Sachihiko , Watanabe Yasuhisa 
Published: May 2024

Abstract

This study investigates the performance of generative artificial intelligence (AI) in evaluating the acceptance of generative AI technologies within higher education guidelines, reflecting on the implications for educational policy and practice. Drawing on a dataset of guidelines from top-ranked universities, we compared generative AI evaluations with human evaluations, focusing on acceptance, performance expectancy, facilitating conditions, and perceived risk. Our study revealed a strong positive correlation between ChatGPT-rated and human-rated acceptance of generative AI, suggesting that generative AI can accurately reflect human judgment in this context. Further, we found positive associations between ChatGPT-rated acceptance and performance expectancy and facilitating conditions, while a negative correlation with perceived risk. These results validate generative AI evaluation, which also extends the application of the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology framework from individual to institutional perspectives.
Proton Therapy: A Ray of Hope for the Cancer Patients
Authors: Khamkat Piyali , Barik Vivek , Mukherjee Swarupananda , Karati Dipanjan 
Published: May 2024

Abstract:
Cancer is a life-threatening disease, and there are very few options to treat it almost
completely, with a high percentage of success rates. Proton therapy is a very unique and one of the
latest techniques to treat cancer with a very promising percentage of success rate. In this therapy, a
proton particle with high velocity is used, and it is superior to conventional photon or radiotherapy. In
this review, we have discussed the theoretical aspects of this technique and the latest variant of this
therapy called pencil beam proton therapy, which is a cutting-edge technique to treat cancer. We have
also tried to discuss the applications of proton therapy for different types of cancers.
Adolescent Verbal Violent Behavior and Emotional Intelligence: A Cross-Sectional Study
Authors: Yunita Rizka , Isnawati Iin Aini 
Published: May 2024

In today's world, verbal violence is a prevalent issue, especially among adolescents. Typically, the perpetrators are the victims' peers, and this can have detrimental effects on the victims, including a decrease in emotional intelligence. The purpose of the study was to examine the relationship between peer verbal violence and emotional intelligence in adolescents. The study utilized a cross-sectional design and involved 120 teenage boarding school students, with a sample of 92 active adolescent students selected through simple random sampling. The research instruments included a bullying questionnaire (consisting of 12 questions) adapted from Tower and an emotional intelligence self-assessment tool (comprising 20 questions) adapted from Sterret. Data analysis was conducted using the Spearman Rank Test, which revealed a significant relationship (ρ value of 0.000) between peer verbal violence and emotional intelligence in adolescents. The study highlighted the adverse effects of peer verbal violent behaviour, such as hindering self-development, reducing empathy, and causing anxiety and shame, as well as potentially triggering similar violent behaviour by the perpetrator. As a result, it emphasizes the need for schools to take collaborative action to minimize violent verbal behaviour.
Machine learning for a heterogeneous water modeling framework
Authors: Frame Jonathan 
Published: May 2024

We explore deep learning for the Next Generation Water Resources
Modeling Framework (NextGen). We present results from Random
forest-based multi-model ensembles, Long Short-Term Memory (LSTM) and
differentiable parameter learning hydrological models (δ conceptual
models) and attribute sensitivity for ungauged basins.

This poster was presented at the CIROH Developers Conference May 29 –
June 1, 2024, at the University of Utah in Salt Lake City.
Temporomandibular disorder and somatic symptoms: Relations to ‘fear of missing out’ and other negative emotional states
Authors: Ujin Yap Adrian , Kurniawan Florencia , Pragustine Yenny , Marpaung Carolina 
Published: May 2024

Objective: The association between the ‘fear of missing out (FOMO)’ and physical symptoms has not been widely explored. This study aimed to investigate the relationship between FOMO and other negative emotions with Temporomandibular disorder (TMD) and somatic symptoms in young adults. The correlations between the various physical and emotional variables were also established.
Material and methods: TMD and somatic symptoms were appraised with the Short-form Fonseca Anamnestic Index, quintessential five TMD symptoms of the Diagnostic Criteria (DC)/TMD, and Patient Health Questionnaire-15. FOMO and other negative emotional states were assessed with the FOMO Scale and Depression, Anxiety, Stress Scales-21 (DASS-21). Data were evaluated using non-parametric tests/correlation and regression analysis (α = 0.05).
Results: While only negative affectivity (total DASS), anxiety, and stress differed significantly between those without and with TMDs, significant variances in FOMO and all DASS-21 constructs were discerned between individuals without and with somatization.
Conclusions: Individuals with orofacial pain and more severe somatic symptoms have higher levels of negative emotions including FOMO. While somatization increased the prospect of TMDs, being female, presence of TMDs, and negative affectivity were risk factors for somatization in young adults.
Clinical relevance: Asian young adults appear to be disposed to somatization, and TMDs may be a form of functional somatic syndromes. Recognition of somatic symptoms and emotional distress, including FOMO, is essential for person-centric TMD care.