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Träfflista för sökning "WFRF:(Margalit A) "

Search: WFRF:(Margalit A)

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1.
  • 2021
  • swepub:Mat__t
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2.
  • Bravo, L, et al. (author)
  • 2021
  • swepub:Mat__t
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3.
  • Tabiri, S, et al. (author)
  • 2021
  • swepub:Mat__t
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4.
  • Glasbey, JC, et al. (author)
  • 2021
  • swepub:Mat__t
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7.
  • Rhind, Nicholas, et al. (author)
  • Comparative Functional Genomics of the Fission Yeasts
  • 2011
  • In: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 332:6032, s. 930-936
  • Journal article (peer-reviewed)abstract
    • The fission yeast clade-comprising Schizosaccharomyces pombe, S. octosporus, S. cryophilus, and S. japonicus-occupies the basal branch of Ascomycete fungi and is an important model of eukaryote biology. A comparative annotation of these genomes identified a near extinction of transposons and the associated innovation of transposon-free centromeres. Expression analysis established that meiotic genes are subject to antisense transcription during vegetative growth, which suggests a mechanism for their tight regulation. In addition, trans-acting regulators control new genes within the context of expanded functional modules for meiosis and stress response. Differences in gene content and regulation also explain why, unlike the budding yeast of Saccharomycotina, fission yeasts cannot use ethanol as a primary carbon source. These analyses elucidate the genome structure and gene regulation of fission yeast and provide tools for investigation across the Schizosaccharomyces clade.
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8.
  • Green, Dido, et al. (author)
  • A multi-site study of functional outcomes following a themed approach to hand-arm bimanual intensive therapy for children with hemiplegia
  • 2013
  • In: Developmental Medicine & Child Neurology. - : John Wiley & Sons. - 0012-1622 .- 1469-8749. ; 55:6, s. 527-533
  • Journal article (peer-reviewed)abstract
    • Aim:This study investigated the effects of a theme-based ('magic') variation of the hand-arm bimanual intensive therapy programme, in two different countries, in improving activity performance for children with hemiplegia, including those with severe movement restrictions.Method:Twenty-three children with spastic hemiplegia (13 males, 10 females; mean age 10y 7mo, range 7-15y; Manual Ability Classification System level I, two; level II, 13; level III, eight), participated in one of three, 2-week, summer camps. A within-participant experimental design was used with the Assisting Hand Assessment and Children's Hand Experience Questionnaire as primary outcome measures. Evaluations occurred immediately before the first day, on the last day, and 3 months after intervention. Two groups underwent additional assessments 2 weeks before the camp.Results:Significant intervention effects were seen on the Assisting Hand Assessment (p=0.002) and on the Children's Hand Experience Questionnaire (p<0.001), the latter maintained at follow-up. The affected hand was reported to be used in 25% of bimanual activities before the camp, progressing to 93% after camp, and decreasing to 86% at follow-up. Severity of impairment did not influence progress.Interpretation:This themed approach to intensive intervention showed positive results in bimanual use, with improvements in independence sustained at follow-up. Although children across camps and motor severity made progress, some questions remain about intensity and duration of intervention to optimize longer-term outcomes.
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9.
  • Green, Dido, et al. (author)
  • A validation study of the Keyboard Personal Computer Style instrument (K-PeCS) for use with children
  • 2012
  • In: Applied Ergonomics. - : Elsevier. - 0003-6870 .- 1872-9126. ; 43:6, s. 985-992
  • Journal article (peer-reviewed)abstract
    • This study examines a potential instrument for measurement of typing postures of children. This paper describes inter-rater, test-retest reliability and concurrent validity of the Keyboard Personal Computer Style instrument (K-PeCS), an observational measurement of postures and movements during keyboarding, for use with children. Two trained raters independently rated videos of 24 children (aged 7-10 years). Six children returned one week later for identifying test-retest reliability. Concurrent validity was assessed by comparing ratings obtained using the K-PECS to scores from a 3D motion analysis system. Inter-rater reliability was moderate to high for 12 out of 16 items (Kappa: 0.46 to 1.00; correlation coefficients: 0.77-0.95) and test-retest reliability varied across items (Kappa: 0.25 to 0.67; correlation coefficients: r = 0.20 to r = 0.95). Concurrent validity compared favourably across arm pathlength, wrist extension and ulnar deviation. In light of the limitations of other tools the K-PeCS offers a fairly affordable, reliable and valid instrument to address the gap for measurement of typing styles of children, despite the shortcomings of some items. However further research is required to refine the instrument for use in evaluating typing among children.
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10.
  • Posey, Victoria A., et al. (author)
  • Two-dimensional heavy fermions in the van der Waals metal CeSiI
  • 2024
  • In: Nature. - : Springer Nature. - 0028-0836 .- 1476-4687. ; 625:7995, s. 483-488
  • Journal article (peer-reviewed)abstract
    • Heavy-fermion metals are prototype systems for observing emergent quantum phases driven by electronic interactions1-6. A long-standing aspiration is the dimensional reduction of these materials to exert control over their quantum phases7-11, which remains a significant challenge because traditional intermetallic heavy-fermion compounds have three-dimensional atomic and electronic structures. Here we report comprehensive thermodynamic and spectroscopic evidence of an antiferromagnetically ordered heavy-fermion ground state in CeSiI, an intermetallic comprising two-dimensional (2D) metallic sheets held together by weak interlayer van der Waals (vdW) interactions. Owing to its vdW nature, CeSiI has a quasi-2D electronic structure, and we can control its physical dimension through exfoliation. The emergence of coherent hybridization of f and conduction electrons at low temperature is supported by the temperature evolution of angle-resolved photoemission and scanning tunnelling spectra near the Fermi level and by heat capacity measurements. Electrical transport measurements on few-layer flakes reveal heavy-fermion behaviour and magnetic order down to the ultra-thin regime. Our work establishes CeSiI and related materials as a unique platform for studying dimensionally confined heavy fermions in bulk crystals and employing 2D device fabrication techniques and vdW heterostructures12 to manipulate the interplay between Kondo screening, magnetic order and proximity effects.
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11.
  • Ye, Z, et al. (author)
  • Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline
  • 2023
  • In: medRxiv : the preprint server for health sciences. - : Cold Spring Harbor Laboratory.
  • Journal article (other academic/artistic)abstract
    • PurposeSarcopenia is an established prognostic factor in patients diagnosed with head and neck squamous cell carcinoma (HNSCC). The quantification of sarcopenia assessed by imaging is typically achieved through the skeletal muscle index (SMI), which can be derived from cervical neck skeletal muscle (SM) segmentation and cross-sectional area. However, manual SM segmentation is labor-intensive, prone to inter-observer variability, and impractical for large-scale clinical use. To overcome this challenge, we have developed and externally validated a fully-automated image-based deep learning (DL) platform for cervical vertebral SM segmentation and SMI calculation, and evaluated the relevance of this with survival and toxicity outcomes.Materials and Methods899 patients diagnosed as having HNSCC with CT scans from multiple institutes were included, with 335 cases utilized for training, 96 for validation, 48 for internal testing and 393 for external testing. Ground truth single-slice segmentations of SM at the C3 vertebra level were manually generated by experienced radiation oncologists. To develop an efficient method of segmenting the SM, a multi-stage DL pipeline was implemented, consisting of a 2D convolutional neural network (CNN) to select the middle slice of C3 section and a 2D U-Net to segment SM areas. The model performance was evaluated using the Dice Similarity Coefficient (DSC) as the primary metric for the internal test set, and for the external test set the quality of automated segmentation was assessed manually by two experienced radiation oncologists. The L3 skeletal muscle area (SMA) and SMI were then calculated from the C3 cross sectional area (CSA) of the auto-segmented SM. Finally, established SMI cut-offs were used to perform further analyses to assess the correlation with survival and toxicity endpoints in the external institution with univariable and multivariable Cox regression.ResultsDSCs for validation set (n = 96) and internal test set (n = 48) were 0.90 (95% CI: 0.90 – 0.91) and 0.90 (95% CI: 0.89 - 0.91), respectively. The predicted CSA is highly correlated with the ground-truth CSA in both validation (r = 0.99,p< 0.0001) and test sets (r = 0.96,p< 0.0001). In the external test set (n = 377), 96.2% of the SM segmentations were deemed acceptable by consensus expert review. Predicted SMA and SMI values were highly correlated with the ground-truth values, with Pearson r β 0.99 (p < 0.0001) for both the female and male patients in all datasets. Sarcopenia was associated with worse OS (HR 2.05 [95% CI 1.04 - 4.04], p = 0.04) and longer PEG tube duration (median 162 days vs. 134 days, HR 1.51 [95% CI 1.12 - 2.08], p = 0.006 in multivariate analysis.ConclusionWe developed and externally validated a fully-automated platform that strongly correlates with imaging-assessed sarcopenia in patients with H&N cancer that correlates with survival and toxicity outcomes. This study constitutes a significant stride towards the integration of sarcopenia assessment into decision-making for individuals diagnosed with HNSCC.SUMMARY STATEMENTIn this study, we developed and externally validated a deep learning model to investigate the impact of sarcopenia, defined as the loss of skeletal muscle mass, on patients with head and neck squamous cell carcinoma (HNSCC) undergoing radiotherapy. We demonstrated an efficient, fullyautomated deep learning pipeline that can accurately segment C3 skeletal muscle area, calculate cross-sectional area, and derive a skeletal muscle index to diagnose sarcopenia from a standard of care CT scan. In multi-institutional data, we found that pre-treatment sarcopenia was associated with significantly reduced overall survival and an increased risk of adverse events. Given the increased vulnerability of patients with HNSCC, the assessment of sarcopenia prior to radiotherapy may aid in informed treatment decision-making and serve as a predictive marker for the necessity of early supportive measures.
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12.
  • Shoenfeld, Yehuda, et al. (author)
  • Features associated with epilepsy in the antiphospholipid syndrome
  • 2004
  • In: Journal of Rheumatology. - 0315-162X. ; 31:7, s. 1344-1348
  • Journal article (peer-reviewed)abstract
    • OBJECTIVE: To assess the frequency of epilepsy in primary and secondary antiphospholipid syndrome (APS); to analyze the clinical and laboratory features characterizing those with epilepsy in a cohort of 538 patients with APS; and to find associated features that would suggest risk factors for epilepsy in APS. METHODS: We analyzed the clinical features of patients with APS who had epilepsy and compared them to the clinical features of non-epileptic APS patients. RESULTS: Of 538 APS patients, 46 (8.6%) had epilepsy. Epilepsy was more prevalent among APS secondary to systemic lupus erythematosus (SLE) compared to primary APS (13.7% vs 6%; p < 0.05). The patients with epilepsy had a higher prevalence of central nervous system (CNS) manifestations including focal ischemic events (strokes or transient ischemic events, 54.3% vs 24.6%; p < 0.0001) and amaurosis fugax (15.2% vs 4.9%; p < 0.05). APS patients with epilepsy had a higher frequency of valvular pathology (30.4% vs 14.6%; p < 0.01), thrombocytopenia (43.5% vs 25%; p < 0.05), and livedo reticularis (26.1% vs 11.5%; p < 0.01). The multivariate logistic regression analysis found CNS thromboembolic events as the most significant factor associated with epilepsy, with an odds ratio (OR) of 4.05 (95% confidence interval, CI: 2.05-8), followed by SLE (OR 1.4, 95% CI 1.2-4.7), and valvular vegetations (OR 2.87, 95% CI 1-8.27). CONCLUSION: Epilepsy is common in APS and most of the risk seems to be linked to vascular disease as manifested by extensive CNS involvement, valvulopathy, and livedo reticularis and to the presence of SLE. These factors, however, explain only part of the increased occurrence of epilepsy in APS and other causes such as direct immune interaction in the brain should be investigated.
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