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  • Article
    Diab AMI, Mohammed BBH, Ghoneim MM, Ali MAM, Özdemir S, Shendy MAM, Boufahja F, Ali MMM.
    Cureus. 2024 May;16(5):e59534.
    A total of 22 patients with cleft palate aged 8 to 12 years were selected and categorized into two groups: the first group was treated with alternate rapid maxillary expansion and constriction (Alt-RAMEC) using an expander with differential opening (EDO) and facemask, while the second group was treated using slow maxillary expansion (SME) using an EDO. Finally, the pharyngeal airway volume in the two groups was compared using cone beam computed tomography (CBCT). CBCT scans were performed before expansion and six months following the expansion. Alveolar crest level, maxillary breadth, nasal cavity width, arch width, inclination of the molar teeth, buccal and palatal alveolar bone thickness, and maxillary alveolar width were all assessed. Paired t-tests (p=0.05) were applied to compare interphase data. The two groups showed a non-significant difference in terms of nasopharyngeal volume (cm3), oropharyngeal volume (cm3), and overall pre- and post-treatment results (p>0.005). Results of comparison of pre- and post-treatment periods in the Alt-RAMEC group revealed a significantly higher cleft volume (cm3) (p=0.001). Results of comparison of pre- and post-treatment periods in the SME group revealed a substantial rise in cleft volume (cm3) (p=0.003). Results from a comparison of the cleft volume (cm3) between the two study groups pre- and post-intervention revealed a non-significant difference (p=0.200 and 0.054, respectively).
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  • Article
    Pollock A, D'Cruz K, Scheinberg A, Botchway E, Harms L, Amor DJ, Anderson V, Bonyhady B, Knight S.
    BMJ Open. 2022 06 13;12(6):e059534.
    OBJECTIVES: COVID-19 has led to rapid changes in rehabilitation service provision for young people living with traumatic brain and/or spinal cord injury. The aim of this project was to understand the experiences of rehabilitation service providers during the acute response stage of the COVID-19 pandemic. Specifically, we aimed to identify innovative approaches to meeting the ongoing needs of young people with traumatic brain and/or spinal cord injury during this time.
    SETTING: This study was conducted at a research institute and involved remote interviews with key informants around Australia and internationally.
    PARTICIPANTS: Key informants from 11 services supporting children and/or adolescents with traumatic brain injury and/or spinal cord injury were interviewed using a semistructured interview guide. Interviews were transcribed and analysed using inductive thematic analysis.
    RESULTS: Three key themes emerged: (1) recognising and responding to the experiences of families during the pandemic, (2) the impact of greater use of telehealth on care delivery, and (3) realising opportunities to enhance family-centred care.
    CONCLUSIONS: These themes capture shifting perspectives and process changes relevant to longer term practice. Research findings suggest opportunities for future service development, enabling service delivery that is more family centred, flexible and efficient in meeting the needs of families. Understanding these experiences and the changed nature of service delivery provides important insights with implications for future service improvement.
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  • Article
    Langhendries JL, Nicolas E, Doumont G, Goldman S, Lafontaine DL.
    Oncotarget. 2016 Sep 13;7(37):59519-59534.
    Small nucleolar RNAs (snoRNAs) are emerging as a novel class of proto-oncogenes and tumor suppressors; their involvement in tumorigenesis remains unclear. The box C/D snoRNAs U3 and U8 are upregulated in breast cancers. Here we characterize the function of human U3 and U8 in ribosome biogenesis, nucleolar structure, and tumorigenesis. We show in breast (MCF-7) and lung (H1944) cancer cells that U3 and U8 are required for pre-rRNA processing reactions leading, respectively, to synthesis of the small and large ribosomal subunits. U3 or U8 depletion triggers a remarkably potent p53-dependent anti-tumor stress response involving the ribosomal proteins uL5 (RPL11) and uL18 (RPL5). Interestingly, the nucleolar structure is more sensitive to perturbations in lung cancer than in breast cancer cells. We reveal in a mouse xenograft model that the tumorigenic potential of cancer cells is reduced in the case of U3 suppression and totally abolished upon U8 depletion. Tumors derived from U3-knockdown cells displayed markedly lower metabolic volume and activity than tumors derived from aggressive control cancer cells. Unexpectedly, metabolic tracer uptake by U3-suppressed tumors appeared more heterogeneous, indicating distinctive tumor growth properties that may reflect non-conventional regulatory functions of U3 (or fragments derived from it) in mRNA metabolism.
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  • Article
    Nakasugi K, Crowhurst RN, Bally J, Wood CC, Hellens RP, Waterhouse PM.
    PLoS One. 2013;8(3):e59534.
    BACKGROUND: Nicotiana benthamiana has been widely used for transient gene expression assays and as a model plant in the study of plant-microbe interactions, lipid engineering and RNA silencing pathways. Assembling the sequence of its transcriptome provides information that, in conjunction with the genome sequence, will facilitate gaining insight into the plant's capacity for high-level transient transgene expression, generation of mobile gene silencing signals, and hyper-susceptibility to viral infection.
    METHODOLOGY/RESULTS: RNA-seq libraries from 9 different tissues were deep sequenced and assembled, de novo, into a representation of the transcriptome. The assembly, of 16GB of sequence, yielded 237,340 contigs, clustering into 119,014 transcripts (unigenes). Between 80 and 85% of reads from all tissues could be mapped back to the full transcriptome. Approximately 63% of the unigenes exhibited a match to the Solgenomics tomato predicted proteins database. Approximately 94% of the Solgenomics N. benthamiana unigene set (16,024 sequences) matched our unigene set (119,014 sequences). Using homology searches we identified 31 homologues that are involved in RNAi-associated pathways in Arabidopsis thaliana, and show that they possess the domains characteristic of these proteins. Of these genes, the RNA dependent RNA polymerase gene, Rdr1, is transcribed but has a 72 nt insertion in exon1 that would cause premature termination of translation. Dicer-like 3 (DCL3) appears to lack both the DEAD helicase motif and second dsRNA binding motif, and DCL2 and AGO4b have unexpectedly high levels of transcription.
    CONCLUSIONS: The assembled and annotated representation of the transcriptome and list of RNAi-associated sequences are accessible at www.benthgenome.com alongside a draft genome assembly. These genomic resources will be very useful for further study of the developmental, metabolic and defense pathways of N. benthamiana and in understanding the mechanisms behind the features which have made it such a well-used model plant.
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  • Article
    Khatri P, Shakya KS, Kumar P.
    Environ Sci Pollut Res Int. 2024 Oct;31(49):59534-59570.
    Just as the value of crude oil is unlocked through refining, the true potential of air quality data is realized through systematic processing, analysis, and application. This refined data is critical for making informed decisions that may protect health and the environment. Perhaps ground-based air quality monitoring data often face quality control issues, notably outliers. The outliers in air quality data are reported as error and event-based. The error-based outliers are due to instrument failure, self-calibration, sensor drift over time, and the event based focused on the sudden change in meteorological conditions. The event-based outliers are meaningful while error-based outliers are noise that needs to be eliminated and replaced post-detection. In this study, we address error-based outlier detection in air quality data, particularly targeting particulate pollutants (PM2.5 and PM10) across various monitoring sites in Delhi. Our research specifically examines data from sites with less than 5% missing values and identifies four distinct types of error-based outliers: extreme values due to measurement errors, consecutive constant readings and low variance due to instrument malfunction, periodic outliers from self-calibration exceptions, and anomalies in the PM2.5/PM10 ratio indicative of issues with the instruments' dryer unit. We developed a robust methodology for outlier detection by fitting a non-linear filter to the data, calculating residuals between observed and predicted values, and then assessing these residuals using a standardized Z-score to determine their probability. Outliers are flagged based on a probability threshold established through sensitivity testing. This approach helps distinguish normal data points from suspicious ones, ensuring the refined quality of data necessary for accurate air quality modeling. This method is essential for improving the reliability of statistical and machine learning models that depend on high-quality environmental data.
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  • Article
    Wan G, Li X, Yin K, Zhao Y.
    Environ Sci Pollut Res Int. 2022 Aug;29(39):59534-59546.
    Carbon dioxide has a significant impact on global climate change due to its natural greenhouse effect. The objective and credible forecast of carbon emissions is very important for the government to formulate and implement the corresponding emission reduction targets. For controlling the growth of carbon emissions, Chinese government has put forward the low-carbon pilot policy and carbon trading policy. However, the existing grey models cannot measure the impact of policies and their interactions. In order to remedy the defect, a novel grey multivariable model based on dummy variables and their interactions is established. Two kinds of grey multivariable models and back propagation neural network model are chosen as comparison models to highlight that the introduction of dummy variables and their interactions plays an important part in improving the model performance. To verify the effectiveness, these four models are selected to simulate and predict the carbon emissions generated from primary energy consumption in Guangdong Province of China. The empirical results indicate that the mean absolute percentage errors of the novel model are 2.87% and 0.86%, respectively, which is significantly better than these three competing models. Finally, based on the outstanding performance of the novel model, it is chosen to forecast the fluctuating tendency of carbon emissions in the next 5 years.
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  • Article
    Cheng X, Yan Q, Yan R, Pu X, Jiang Y, Huang Y, Zhu X.
    ACS Appl Mater Interfaces. 2023 Dec 27;15(51):59534-59543.
    Garnet Li7La3Zr2O12 (LLZO) is considered a promising solid electrolyte for all-solid-state lithium-ion batteries due to its outstanding performance in which Ga-doped LLZO particularly exhibits excellent ionic conductivity. However, the application of Ga-doped LLZO is limited by the interfacial instability between Ga-doped LLZO and Li metal. In this study, Ga3+- and Sb5+-codoped LLZO is prepared using a conventional solid-state reaction method, and the effects of dual-doping on the crystal structure, microstructure, conductivity of LLZO, and battery cycle stability are investigated. The results demonstrate that the introduction of an appropriate amount of Sb5+ into Ga3+-stabilized cubic-phase LLZO promotes grain contact and enhances the total ionic conductivity. The optimized Li6.3Ga0.2La3Zr1.9Sb0.1O12 solid electrolyte exhibits the highest total ionic conductivity of 4.65 × 10-4 S cm-1 at room temperature. Additionally, the introduction of Sb5+ suppresses the formation of the LiGaO2 impurity phase, thereby improving the interface stability between Ga-doped LLZO and the Li metal. The assembled Li||Ga,Sb0.1-LLZO||Li symmetric cell demonstrates stable cycling for 500 h at room temperature under a current density of 0.13 mA cm-2. The Li||Ga,Sb0.1-LLZO||LiFePO4 full cell delivers a reversible capacity of about 140 mA h g-1, exhibiting negligible decay after 50 cycles. These findings suggest that the application of Ga-doped LLZO in all-solid-state lithium-ion batteries holds great promise by simply doping Zr sites with high-valence ions.
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  • Book
    [edited by] J. David Prologo, Charles E. Ray.Jr.
    Summary: "Minimally-invasive techniques with fewer complications are continually being developed to provide relief to patients with debilitating, unrelenting pain. Although significant advancements have been made and development continues at a rapid pace, it is essential that progress continues and clinicians unfamiliar with these techniques learn and incorporate them into practice. Advanced Pain Management in Interventional Radiology edited by renowned interventional radiologists J. David Prologo and Charles E. Ray Jr. is the first textbook to use case examples to detail the latest image-guided interventional approaches to treat conditions, diseases, and syndromes associated with unremitting, incapacitating pain. Fifty chapters by top experts in the field provide reviews of clinical conditions and technical guidance on how to perform procedures for a wide range of challenging pain conditions. The book starts with an insightful chapter on opioids, with discussion of history, the devastating opioid crisis, an overview of interventional pain procedures, and the important role interventional radiologists play in decreasing opioid use in select populations. Subsequently, each of the case-based chapters is consistently formatted with the case presentation, clinical evaluation, review of pertinent imaging, development of a treatment plan (including non-IR treatment options), technical details, potential complications, and a literature review of the featured technique"-- Provided by publisher
    Digital Access Thieme MedOne Radiology [2024]