bluuebunny/crossref_metadata_2025_split huggingface dataset:
Regulation of AUF1 alternative splicing by hnRNPA1 and SRSF2 modulate the sensitivity of ovarian cancer cells to cisplatin
Authors: liu chuan , Wang Jia-Mei , Liu Ning , Wei Xue-Jing , Zhao Fu-Ying , Li Chao , Wang Hua-Qin 
Published: November 2023

Abstract
Ovarian cancer is one of the most prevalent gynecologic malignancies, with a poor prognosis due to its late-stage diagnosis, frequently presenting as highly advanced disease with concomitant drug resistance. Alternative splicing plays an important role in the evolution, development and disease of organisms. Tumor-specific alternative splicing events related to prognosis might be a great significance for tumor diagnosis and prediction and may even become effective targets for tumor therapy. AU-rich element RNA-binding protein 1 (AUF1) is a nucleic acid binding protein that is also known as heterogeneous ribonucleoprotein D (hnRNPD). Alternative splicing of the AUF1 precursor mRNA produces four different mRNA splicing variants, which encode four different molecular weights of protein isoform, p37, p40, p42 and p45 respectively. In this study, we demonstrated that different isoforms of AUF1 played a bidirectional role in ovarian cancer. In ovarian cancer, p37 isoform played a “cancer promoter” role, p42 and p45, especially p45 played a “cancer suppressor” role. The competitive binding of phosphorylated hnRNPA1 and O-GlcNAc modified SRSF2 on exon 2 and exon 7 of AUF1 regulated the alternative splicing of AUF1 and mediated the decrease of cisplatin responsiveness in ovarian cancer. This study provides a new target for exploring the drug resistance mechanism of ovarian cancer.
Analysis of combined screening results of the hearing and deafness genes in 10754 newborns
Authors: Lian Jiejing , Wang Hao , Wu Ting , Cheng Zhaojun 
Published: November 2023

Abstract
Objective: The aim of this study was to determine the clinical significance of hearing screening coupled with genetic testing of deafness in hereditary deafness.
Methods: This study retrospectively analyzed the hearing screening coupled with genetic testing of deafness results of 10,754 newborns which born in Hangzhou Women's Hospital from June 2020 to December 2022. Hearing screening was performed using transiently evoked otoacoustic emission (TEOAE) and automated auditory brainstem response (AABR). For genetic testing, dried blood spots were collected and fifteen variants in four genes (GJB2, GJB3, SLC26A4 and m t DNA 12S r RNA), were screened using a DNA microarray platform.
Results: A total of the 10,754 infants, the most common mutation variants were GJB2c.235delC (47.26%) and SLC26A4 IVS7-2 A>G (21.17%), 62 (0.58%) were referred bilaterally or unilaterally for hearing screening; 529 (4.92%) were positive for genetic screening (heterozygote, homozygote, or compound heterozygote and mt DNA 12S r RNA homoplasmy or heteroplasmy), among whom 522 (4.85%) passed hearing screening. Three (0.028%) infants carried two variants in GJB2(homozygote or compound heterozygote) and 1 of those infants passed newborn hearing screening. In total, 33 (0.307%) infants carried the mt DNA 12S rRNAvariant (m.1555A>G or m.1494C>T), and all of them passed newborn hearing screening.
Conclusion: The positive rate of deafness gene mutations mainly in GJB2 c.235delC, SLC26A4IVS7-2 A>G, and m.1555A > G variants. Hearing screening combined with genetic screening for deafness is helpful in identifying high-risk children with hereditary deafness for follow-up intervention.
The effect of different preventive strategies during total joint arthroplasty on surgical site infection: a network meta-analysis
Authors: Wu Yongtao , Xiang Xinni , Ma Yimei 
Published: November 2023

Abstract
BackgroundPeriprosthetic joint infection or surgical site infection after total joint arthroplasty has a large incidence, and it may often require two or more stages of revision, placing an additional burden on clinicians and patients. The purpose of this network meta-analysis is to evaluate the effect of four different preventive strategies during total joint arthroplasty on the prevention of surgical site infection.
Methods The study protocol was registered at PROSPERO (CRD: 42023448868), and the literature search databases includedWeb of Science, PubMed, OVID Cochrane Central Register of Controlled Trials, OVID EMBASE, and OVID MEDLINE(R) ALL that metthe requirements. The network meta-analysis was performed by using randomized controlled trials, retrospective cohort studies and prospective cohort studies with the outcome of periprosthetic joint infection or surgical site infection incidence. The gemtc R package was applied to perform the network meta-analysis to evaluate the relative results of different preventive strategies. The heterogeneity test of direct and indirect evidence was also assessed by R software with the gemtc package.
Results This network meta-analysis study included a total of 38 articles with 4 preventive strategies and negative control. No improvement was observed in antibiotic-loaded bone cement compared with negative control. Chlorhexidine showed the highest probability of delivering the best preventive effect, and povidone iodine had the second highest probability. Although vancomycin ranked after chlorhexidine and povidoneiodine, it still showed a significant difference compared with negative control. In addition, the incidence after applying chlorhexidine was significantly lower than that after applying negative control and vancomycin. In the heterogeneity test between direct and indirect evidence, there was no apparent heterogeneity between them.
Conclusion The study indicated that chlorhexidine, povidoneiodine and vancomycinshowed significant efficacy in preventing periprosthetic joint infection or surgical site infection after total joint arthroplasty, while antibiotic-loaded bone cement did not. Therefore, more high-quality randomized controlled trials are needed to verify the results above.
Implementation of interprofessional primary care teams in Nova Scotia: Results of a survey and knowledge sharing event
Authors: Grant Amy , Giacomantonio Rachel , Lackie Kelly , MacKenzie Adrian , Jeffers Elizabeth , Kontak Julia , Marshall Emily Gard , Philpott Susan , Sheppard-LeMoine Debbie , Lappin Elizabeth , Bruce Alice , Mireault Amy , Beck Deanna , Cormier Lindsay , Martin-Misener Ruth 
Published: November 2023

Abstract

Background: Interprofessional primary care teams (IPCTs) work together to enhance care. Despite evidence on the benefits of IPCTs, implementation remains challenging. This research aims to 1) validate and prioritize barriers and enablers, and 2) co-develop team-level strategies to support IPCT implementation in Nova Scotia, Canada.
Methods: Healthcare providers and staff of IPCTs were invited to complete an online survey to identify barriers and enablers, and the degree to which each item impacted the functioning of their team. Top ranked items were identified using the sum of frequency x impact for each response. A virtual knowledge sharing event was held to identify strategies to address local barriers and enablers that impact team functioning.
Results: IPCT members (n=117), with a mix of clinic roles and experience, completed the survey. The top three enablers identified were related to access and use of technological tools and having a team manager to coordinate collaboration. The top three barriers were limited opportunity for daily team communication, lack of conflict resolution strategies, and lack of capacity building opportunities. IPCT members, administrators, and patients attended the knowledge sharing event (n=33). Five strategies were identified including balancing patient needs and provider scope of practice, holding regular meetings, supporting team and professional development, and supporting involvement in non-clinical activities.
Interpretation: This research contextualized evidence to further understand local perspectives and experiences of barriers and enablers to the implementation of IPCTs. The knowledge exchange event identified actionable strategies that IPCTs and healthcare administrators can tailor to support teams and care for patients.
Construction and validation of a cuproptosis-related genes prognostic model for hepatocellular carcinoma
Authors: Wang Xue , Ma Shanshan , Zhu Rui , Wang Yanna , Zhu Shuting , Guan Fangxia , Guo Wenna 
Published: November 2023

Abstract
Background
Hepatocellular carcinoma (HCC) is one of the most common malignant tumors with a poor prognosis. Cuproptosis is a recently confirmed novel kind of programmed cell death and associated with a variety of cancer. However, the prognostic value of cuproptosis-related genes (CRGs) is still limited in HCC.
Methods
Gene expression data and clinical information of HCC patients were downloaded from the Cancer Genome Altas (TCGA) and Gene-Expression Omnibus (GEO) databases. Differential expression analysis was performed to identify the differentially expressed CRGs. Then univariate and multivariate Cox regression analyses were applied to screen out prognosis-related differentially expressed CRGs and construct a prognostic CRG models. The Kaplan-Meier survival analysis and Receiver operating characteristic (ROC) curves were employed to assess the prognostic values of the prognostic CRG model. The Cibersort analysis was used to evaluate the relationship between the CRG model and immune infiltration. In addition, the Gene Set Enrichment Analysis (GSEA) were used to explore the molecular mechanism of the prognostic CRG model.
Results
A total of 120 differentially expressed CRGs in HCC were screened. A prognostic CRG model containing three genes (ABCB6, AACS, CKAP2) was constructed for independently predicting the prognosis of HCC. The Kaplan-Meier survival analysis showed that patients in high-risk group had significantly shorter overall survival (OS). The ROC analysis indicated that the CRG model performed better than the single gene in predicting survival rates. Univariate and multivariate Cox regression analysis demonstrated that the CRG model was an independent predictor. Moreover, the CRG model was significantly correlated with the stromal score, the tumor purity score, T cells folicular helper, T cells regulator, and macrophages M0. In addition, the GSEA revealed cell cycle, oocyte meiosis, mitotic nuclear division, and DNA replication pathways were mainly enriched in the high-risk group.
Conclusion
This study constructed a prognostic CRG model in HCC, which has high predictive efficacy. These findings extend the knowledge of CRGs in HCC, provide theoretical support for the prognostic prediction, and may inform new therapeutic strategies for HCC.
Two new species of Diversispora (arbuscular mycorrhizal fungi; Glomeromycota) colonizing roots of endemic shrubs on nickel mine tailings in New-Caledonia
Authors: Crossay Thomas , McCoy Stephane , Maï-van’y Leslie , Guentas Linda , Fogliani Bruno , Burtet-Sarramegna Valerie , Amir Hamid 
Published: November 2023

Abstract
Diversispora cerifera and Diversispora succinacia are new arbuscular mycorrhizal fungal species, that have been isolated and propagated from spores of rhizospheric soils of native vegetation that had naturally established from seeds on a nickel mine tailings test basin in New-Caledonia. Interestingly, these species were not recorded from ultramafic soils of maquis vegetation endemic to New-Caledonia surrounding the tailings basin. In greenhouse trap and single species cultures, fungi produced numerous spores, which were formed terminally or intercalary on subtending hyphae. Spores of D. cerifera are white yellow with a waxy appearance and spores of D. succinacia are translucent, amber in color. Spores of the two species are globose to subglobose. Spores of D. cerifera 70-100-120 µm in diameter and have three spore wall layers. Spores of D. succinacia 60–80 − 110 µm in diameter and have two spore wall layers. D. cerifera forms a monophyletic clade next to D. aurantia that has a subtending hyphal wall that is continuous with layers 1–3 of the spore wall. Instead, the hyphal wall for D. cerifera is continuous only with layers 1 and 2 of the spore wall. Morphologically and phylogenetically, D. succinacia is close to D. sabulosa and forms a monophyletic clade next to D. sabulosa that has smaller spores.
Research Title: ABO Blood Types Can Play a Role in Determining Prognosis of Thyroid Cancer in Adult Patients: A Single-centre Retrospective Study.
Authors: Ghunaim Mohammed , Alkhalifah Zainab , Almontashri Alwa , Aljehani Mohammed , Alhammadi Maisam , Bahakim Abdullah , Faleh Doaa , AlHarthi Mohammed , Malibary Nadim 
Published: November 2023

Abstract
Background: Thyroid cancer is the most common endocrine malignancy. Previous research has linked the ABO blood group system to the risk and progression of different types of cancer. However, the association between specific blood groups and thyroid cancer risk and prognosis remains unclear. In this study, we aimed to investigate the relationship between ABO blood groups, thyroid cancer risk, and prognosis.
Methods: All adult patients who underwent thyroidectomy in our centre between January 2012 and January 2021 were included. A total of 569 files were reviewed, and a total sample of 453 patients were matched after excluding patients with missing data. All sociodemographic, ABO blood groups, Rh factor, and histopathology records were accessed in the study.
Result: Out of 435 patients, the majority had malignant thyroid diseases (69.9%). Papillary thyroid cancer was the most common (82.0%). Positive lymph nodes were found in 25% of patients, with blood type B having the highest rate (26.7%). Blood type AB had significantly higher rates of vascular invasion than all other blood types (40% vs 16.3%; p=0.03). Blood type AB was also associated with follicular subtype (20%), larger tumour size, higher capsular invasion (33.3%), and distant metastasis (6.7%). Meanwhile, blood type O had the lowest rates of both lymph node invasion and capsular invasion. Benign disease was significantly associated with hypothyroidism (p<0.001). Additionally, thyroiditis (31.8%) and Hashimoto’s (18.2%) were more common in blood Group B.
Conclusion: Blood type AB had the highest rates of capsular invasion, vascular invasion, and distant metastasis compared to other blood types, indicating its potential aggressiveness. On the other hand, blood type O could be less aggressive than other blood groups.
Music's manifold emotions for mental well-being: a topological approach
Authors: Darcourt Joseph 
Published: November 2023

Abstract
Music, an intrinsic part of human culture, has long been recognized for its ability to evoke emotions, memories and physiological responses. From the rhythmic beats that make us dance to the soothing melodies that provide solace in times of distress, music's impact on the human psyche is undeniable. Timely, in the wake of the COVID-19 pandemic, the world has witnessed a subsequent and equally concerning mental health "pandemic.” As societies grapple with the repercussions of prolonged isolation, economic downturns, and the collective trauma of a global health emergency, the search for therapeutic interventions has never been more pressing. Among the myriad of potential solutions, one timeless human experience stands out: the power of music. Our study aims to understand how music’s benefits for well-being can be harnessed to combat the rising levels of neurodegenerative diseases and depression. By exploring the neural manifolds and latent neural dynamics of music listening and emotional experience, we aim to uncover the therapeutic potential of music through topology. Our findings not only shed light on music’s role in mental well-being through emotional synchrony across subjects, but also offer hope in times of crisis. Alongside shared neural dynamics across subjects, we also find one subject in which a major difference in emotional experience leads to a drastically different manifold shape, clustering and coloring. These results are the first to pain music listening, emotional experience and well-being in a topological light. We see our results positioned as a backdrop for future research in computational neuroscience on music and well-being, our study being the first to approach mental well-being and music listening with topology. We also outline next steps that would extend our preliminary results immediately to neurodegenerative diseases, depression and more. In a world where mental health issues are on the rise, this topological approach to music and well-being can provide deeper understanding to music therapy’s non-invasive, accessible and enjoyable avenue for improving the well-being of countless individuals; by accounting for inter-subject variability with topologically-inspired computational neuroscience, we can finally put a name to how music helps heal.
A trajectory similarity measurement algorithm based on three-dimensional space area division
Authors: XU Kai , GAO QiKai , LI Yan 
Published: November 2023

Abstract
Aiming at the problems of most trajectory similarity measurement algorithms, such as low computational efficiency, poor robustness, and inability to distinguish trajectories with opposite directions, this paper proposes a 3D Triangle Division (3TD) algorithm. Firstly, the absolute time series of the trajectory set was transformed into a relative time series according to the time conversion rules of the 3TD algorithm. Then, in the three-dimensional space coordinate system composed of three elements of longitude, latitude, and time, the trajectories were divided into several non-overlapping triangles by partitioning rules, and the area of the triangles was accumulated and the trajectory similarity was calculated. Finally, comparative experiments with the Longest Common Subsequence (LCSS) and Hausdorff distance were carried out on a randomly sampled trajectory dataset collected from the Automatic Identification System (AIS) of ships. The experimental results show that the calculation time of the 3TD algorithm is reduced by more than 90% and the accuracy of trajectory recognition in different directions in the experimental data set is 100%. At the same time, the algorithm can also maintain accurate measurement results in the face of massive data sets and data sets with partially missing trajectory points, which can better adapt to the similarity measurement of different directions.
Phasor-Based Analysis of a Neuromorphic Perceptron Architecture for Microwave Sensing
Authors: Forooraghi Keyvan , Soleimani Ashkan , Atlasbaf Zahra 
Published: November 2023

Abstract
In this article, a new architecture is proposed for real-time and low-power inference at microwave frequencies for applications such as autonomous robot control and real-time control. The architecture utilizes a hybrid coupler network that performs dot product operations using microwave components like directional couplers, microwave filters, and phase shifters. It can solve binary and multi-class classification problems by implementing shallow neural networks. Furthermore, principal component analysis (PCA) integration is also proposed for the hybrid coupler network to address problems of high degrees of complexity. Compared to similar works, the hybrid coupler network has unique characteristics. It relies on passive components, which means there is no power consumption for matrix multiplications. Additionally, the energy consumption and calculation speed are not dependent on input dimensions. The system is cost-effective, easy to fabricate, and has been tested on the iris dataset. Overall, the proposed neuromorphic architecture offers advantages in terms of power efficiency and real-time performance in inference phase.
Assessing the implementation level of advance care planning– the first comprehensive fidelity scale
Authors: Westbye Siri Faerden , Romøren Maria , Ahmed Marc , Hermansen Karin Berg , Brøderud Linn , Wahl Astrid Klopstad , Saevareid Trygve Johannes Lereim , Thoresen Lisbeth , Pedersen Reidar 
Published: November 2023

Abstract

Background Many studies report that the implementation of advance care planning (ACP) is low, but we lack an instrument to actually measure this. Implementation fidelity can be such a tool and refers to the degree to which an intervention or program is delivered as intended. This method has rarely been used in trials where ACP is the intervention, and if so, only studying parts of fidelity.Methods We developed and employed the first comprehensive fidelity-scale to measure ACP practice in hospital units. The scale was used in a cluster randomized controlled trial to measure baseline implementation of ACP in the routine care for acutely admitted patients in 12 geriatric units. The scale consists of 22 items that are scored from 1 to 5, where 1 equals no implementation, and 5 equals full implementation. Data was analyzed using descriptive statistics and calculation of interrater reliability.Results The mean score was 1,16 for the total scale. The few items that had a higher score were the item on program philosophy, which was known to devoted professional individuals, but not owned by entire units. Furthermore, parts of what would constitute good quality of the intervention where in place in some units, but do not represent a systematic practice. As a measure of interrater reliability, the intra-class correlation coefficient was 0,99.Conclusions The level of implementation of ACP was generally low. Our novel fidelity scale shows promising preliminary psychometric properties and may prove to be a useful tool to guide the implementation strategy to accelerate the implementation of ACP in health care.
Quantifying Tipping Risks in Power Grids and beyond
Authors: Hessler Martin , Kamps Oliver 
Published: November 2023

Abstract

Critical transitions, ubiquitous in nature and technology, necessitate anticipation to avert adverse outcomes. While many studies focus on bifurcation-induced tipping, where a control parameter change leads to destabilization, alternative scenarios are conceivable, e.g. noise-induced tipping by an increasing noise level in a multi-stable system. Although the generating mechanisms can be different, the observed time series can exhibit similar characteristics. Therefore, we propose a Bayesian Langevin approach, implemented in an open-source tool, which is capable of quantifying both deterministic and intrinsic stochastic dynamics simultaneously. After a detailed proof of concept, we analyse two bus voltage frequency time series of the historic North America Western Interconnection blackout on 10th August 1996. Our results unveil the intricate interplay of changing resilience and noise influence. A comparison with the blackout’s timeline supports our frequency dynamics’ Langevin model, with the BL-estimation indicating a permanent grid state change already two minutes before the officially defined triggering event. A tree-related high impedance fault or sudden load increases may serve as earlier triggers during this event, as suggested by our findings. This study underscores the importance of distinguishing destabilizing factors for a reliableanticipation of critical transitions, offering a tool for better understanding such events across various disciplines.