834 research outputs found

    Atrial Fibrillation Recurrence and Peri-Procedural Complication Rates in nMARQ vs. Conventional Ablation Techniques: A Systematic Review and Meta-Analysis

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    Background and Objectives: Atrial fibrillation is a common abnormal cardiac rhythm caused by disorganized electrical impulses. AF which is refractory to antiarrhythmic management is often treated with catheter ablation. Recently a novel ablation system (nMARQ) was introduced for PV isolation. However, there has not been a systematic review of its efficacy or safety compared to traditional ablation techniques. Therefore, we conducted this meta-analysis on the nMARQ ablation system. Methods: PubMed and EMBASE were searched up until 1st of September 2017 for articles on nMARQ. A total of 136 studies were found, and after screening, 12 studies were included in this meta-analysis. Results: Our meta-analysis shows that the use of nMARQ was associated with higher odds of AF non-recurrence (n = 1123, odds ratio = 6.79, 95% confidence interval 4.01–11.50; P 0.05). There were four reported mortalities in the nMARQ group compared to none in the conventional ablation group (relative risk: 1.58; 95% CI: 0.09–29.24; P > 0.05). Conclusions: AF recurrence rates are comparable between nMARQ and conventional ablation techniques. Although general complication rates are similar for both groups, the higher mortality with nMARQ suggests that conventional techniques should be used for resistant AF until improved safety profiles of nMARQ can be demonstrated

    An Endogenously Tagged Fluorescent Fusion Protein Library in Mouse Embryonic Stem Cells

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    Embryonic stem cells (ESCs), with their dual capacity to self-renew and differentiate, are commonly used to study differentiation, epigenetic regulation, lineage choices, and more. Using non-directed retroviral integration of a YFP/Cherry exon into mouse ESCs, we generated a library of over 200 endogenously tagged fluorescent fusion proteins and present several proof-of-concept applications of this library. We show the utility of this library to track proteins in living cells; screen for pluripotency-related factors; identify heterogeneously expressing proteins; measure the dynamics of endogenously labeled proteins; track proteins recruited to sites of DNA damage; pull down tagged fluorescent fusion proteins using anti-Cherry antibodies; and test for interaction partners. Thus, this library can be used in a variety of different directions, either exploiting the fluorescent tag for imaging-based techniques or utilizing the fluorescent fusion protein for biochemical pull-down assays, including immunoprecipitation, co-immunoprecipitation, chromatin immunoprecipitation, and more. Keywords: embryonic stem cells; imaging; live imaging; fluorescence; differentiation; pluripotency; GFP; microscopy; DNA damage; protein dynamicsNational Institutes of Health (U.S.) (Grant HD045022)National Institutes of Health (U.S.) (Grant R37-CA084198)National Institutes of Health (U.S.) (Grant R01NS088538-01

    Replication factory activation can be decoupled from the replication timing program by modulating Cdk levels

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    In the metazoan replication timing program, clusters of replication origins located in different subchromosomal domains fire at different times during S phase. We have used Xenopus laevis egg extracts to drive an accelerated replication timing program in mammalian nuclei. Although replicative stress caused checkpoint-induced slowing of the timing program, inhibition of checkpoint kinases in an unperturbed S phase did not accelerate it. Lowering cyclin-dependent kinase (Cdk) activity slowed both replication rate and progression through the timing program, whereas raising Cdk activity increased them. Surprisingly, modest alteration of Cdk activity changed the amount of DNA synthesized during different stages of the timing program. This was associated with a change in the number of active replication factories, whereas the distribution of origins within active factories remained relatively normal. The ability of Cdks to differentially effect replication initiation, factory activation, and progression through the timing program provides new insights into the way that chromosomal DNA replication is organized during S phase

    Ramiplectrus catiensis, a new genus and a new species with branched male antennae and long metatibial spurs from Vietnam (Hymenoptera: Eulophidae)

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    Ramiplectrus catiensis gen. et sp. n. is characterized by the unique combination of two long metatibial spurs and a short ramus on the two first funicular segments. Phylogenetic analysis of 28SrRNA sequences, along with the distinct morphological features, supports the classification of the new genus within the tribe Eulophini. TÓM TẮTMột chi mới và một loài ong ký sinh mới Ramiplectrus catiensis được đặc trưng bởi sự kết hợp độc đáo của hai cựa xương chày dài và một nhánh ngắn trên hai đoạn râu đầu tiên. Phân tích phát sinh loài của trình tự 28S rRNA, cùng với các đặc điểm hình thái riêng biệt, hỗ trợ việc phân loại chi mới trong tông Eulophini.TỪ KHÓA: Đa dạng sinh học, chi mới, loài mới, khóa nhận dạng, ong ký sinh, hệ thống học, Đông Nam Á, Việt Nam, Tỉnh Đồng Nai, Vườn quốc gia Cát Tiên. To cite: Yefremova, Z.A. & Feldstein-Farkash, T. 2025. Ramiplectrus catiensis, a new genus and a new species with branched male antennae and long metatibial spurs from Vietnam (Hymenoptera: Eulophidae). Israel Journal of Entomology 54: 7–19. DOI: 10.5281/zenodo.15182960urn:lsid:zoobank.org:pub:745CA2B4-91F8-4412-ADCC-C68429746AE

    Healing of fracture nonunions treated with low-intensity pulsed ultrasound (LIPUS): A systematic review and meta-analysis

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    Introduction: Bone fractures fail to heal and form nonunions in roughly 5% of cases, with little expectation of spontaneous healing thereafter. We present a systematic review and meta-analysis of published papers that describe nonunions treated with low-intensity pulsed ultrasound (LIPUS). Methods: Articles in PubMed, Ovid MEDLINE, CINAHL, AMED, EMBASE, Cochrane Library, and Scopus databases were searched, using an approach recommended by the Methodological Index for Non-Randomized Studies (MINORS), with a Level of Evidence rating by two reviewers independently. Studies are included here if they reported fractures older than 3 months, presented new data with a sample N ≥ 12, and reported fracture outcome (Heal/Fail). Results: Thirteen eligible papers reporting LIPUS treatment of 1,441 nonunions were evaluated. The pooled estimate of effect size for heal rate was 82% (95% CI: 77-87%), for any anatomical site and fracture age of at least 3 months, with statistical heterogeneity detected across all primary studies (Q = 41.2 (df = 12), p < 0.001, Tau2 = 0.006, I2 = 71). With a stricter definition of nonunion as fracture age of at least 8 months duration, the pooled estimate of effect size was 84% (95% CI: 77% − 91.6%; heterogeneity present: Q = 21 (df = 8), p < 0.001, Tau2 = 0.007, I2 = 62). Hypertrophic nonunions benefitted more than biologically inactive atrophic nonunions. An interval without surgery of <6 months prior to LIPUS was associated with a more favorable result. Stratification of nonunions by anatomical site revealed no statistically significant differences between upper and lower extremity long bone nonunions. Conclusions: LIPUS treatment can be an alternative to surgery for established nonunions. Given that no spontaneous healing of established nonunions is expected, and that it is challenging to test the efficacy of LIPUS for nonunion by randomized clinical trial, findings are compelling. LIPUS may be most useful in patients for whom surgery is high risk, including elderly patients at risk of delirium, or patients with dementia, extreme hypertension, extensive soft-tissue trauma, mechanical ventilation, metabolic acidosis, multiple organ failure, or coma. With an overall average success rate for LIPUS >80% this is comparable to the success of surgical treatment of non-infected nonunions

    SoK: Reducing the Vulnerability of Fine-tuned Language Models to Membership Inference Attacks

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    Natural language processing models have experienced a significant upsurge in recent years, with numerous applications being built upon them. Many of these applications require fine-tuning generic base models on customized, proprietary datasets. This fine-tuning data is especially likely to contain personal or sensitive information about individuals, resulting in increased privacy risk. Membership inference attacks are the most commonly employed attack to assess the privacy leakage of a machine learning model. However, limited research is available on the factors that affect the vulnerability of language models to this kind of attack, or on the applicability of different defense strategies in the language domain. We provide the first systematic review of the vulnerability of fine-tuned large language models to membership inference attacks, the various factors that come into play, and the effectiveness of different defense strategies. We find that some training methods provide significantly reduced privacy risk, with the combination of differential privacy and low-rank adaptors achieving the best privacy protection against these attacks.Comment: preliminary versio

    An analysis of intra array repeats: the good, the bad and the non informative

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    BACKGROUND: On most common microarray platforms many genes are represented by multiple probes. Although this is quite common no one has systematically explored the concordance between probes mapped to the same gene. RESULTS: Here we present an analysis of all the cases of multiple probe sets measuring the same gene on the Affymetrix U133a GeneChip and found that although in the majority of cases both measurements tend to agree there are a significant number of cases in which the two measurements differ from each other. In these cases the measurements can not be simply averaged but rather should be handled individually. CONCLUSION: Our analysis allows us to provide a comprehensive list of the correlation between all pairs of probe sets that are mapped to the same gene and thus allows microarray users to sort out the cases that deserve further analysis. Comparison between the set of highly correlated pairs and the set of pairs that tend to differ from each other reveals potential factors that may affect it
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