85 research outputs found
Erratum to: Is Sensory Loss an Understudied Risk Factor for Frailty? A Systematic Review and Meta-analysis
No full textIn the article “Is Sensory Loss an Understudied Risk Factor for Frailty? A Systematic Review and Meta-analysis,” an author was missing. Ana Maseda should be listed as the 11th author. The correct author list is: Benjamin Kye Jyn Tan, Ryan Eyn Kidd Man, Alfred Tau Liang Gan, Eva K Fenwick, Varshini Varadaraj, Bonnielin K Swenor, Preeti Gupta, Tien Yin Wong, Caterina Trevisan, Laura Lorenzo-López, Ana Maseda, José Carlos Millán-Calenti, Carla Helena Augustin Schwanke, Ann Liljas, Soham Al Snih, Yasuharu Tokuda, Ecosse Luc Lamoureux. This error has been corrected
Nanoscale Analysis of the Interaction Between Cyanoacrylate and Vacuum Metal Deposition in the Development of Latent Fingermarks on Low-Density Polyethylene
No full textVacuum metal deposition (VMD) has been previously demonstrated as an effective development technique for latent fingermarks and in some cases has been shown to enhance prints developed with cyanoacrylate (CA) (superglue) fuming. This work utilizes scanning electron microscopy (SEM) to investigate the interactions of the two development techniques when applied to latent fingermarks on low-density polyethylene. CA is shown to act principally on the eccrine deposits around sweat pores, where polymerization results in long polymer fibrils a few 100 nm in width. Subsequent VMD processing results in additional areas of development, for example, between pores. However, the primary mode of deposition of zinc is by interaction with the polymerized CA, the fibrils of which become decorated with zinc nanoparticles. Areas with limited CA deposition and no significant polymerization are also enhanced with the VMD process, resulting in increased print development
Image1_Microtubule modification defects underlie cilium degeneration in cell models of retinitis pigmentosa associated with pre-mRNA splicing factor mutations.eps
Get PDFRetinitis pigmentosa (RP) is the most common cause of hereditary blindness, and may occur in isolation as a non-syndromic condition or alongside other features in a syndromic presentation. Biallelic or monoallelic mutations in one of eight genes encoding pre-mRNA splicing factors are associated with non-syndromic RP. The molecular mechanism of disease remains incompletely understood, limiting opportunities for targeted treatment. Here we use CRISPR and base edited PRPF6 and PRPF31 mutant cell lines, and publicly-available data from human PRPF31+/− patient derived retinal organoids and PRPF31 siRNA-treated organotypic retinal cultures to confirm an enrichment of differential splicing of microtubule, centrosomal, cilium and DNA damage response pathway genes in these cells. We show that genes with microtubule/centrosome/centriole/cilium gene ontology terms are enriched for weak 3′ and 5′ splice sites, and that subtle defects in spliceosome activity predominantly affect efficiency of splicing of these exons. We suggest that the primary defect in PRPF6 or PRPF31 mutant cells is microtubule and centrosomal defects, leading to defects in cilium and mitotic spindle stability, with the latter leading to DNA damage, triggering differential splicing of DNA damage response genes to activate this pathway. Finally, we expand understanding of “splicing factor RP” by investigating the function of TTLL3, one of the most statistically differentially expressed genes in PRPF6 and PRPF31 mutant cells. We identify that TTLL3 is the only tubulin glycylase expressed in the human retina, essential for monoglycylation of microtubules of the cilium, including the retinal photoreceptor cilium, to prevent cilium degeneration and retinal degeneration. Our preliminary data suggest that rescue of tubulin glycylation through overexpression of TTLL3 is sufficient to rescue cilium number in PRPF6 and PRPF31 mutant cells, suggesting that this defect underlies the cellular defect and may represent a potential target for therapeutic intervention in this group of disorders.</p
Matcher Performance-Based Score Level Fusion Schemes For Multi-modal Biometric Authentication System
No full textHybrid Level Fusion Schemes for Multimodal Biometric Authentication System Based on Matcher Performance
No full textYoga Posture Classification using Computer Vision
No full textThere has been over the past few years, a very increased popularity for yoga. A lot of literatures have been published that claim yoga to be beneficial in improving the overall lifestyle and health especially in rehabilitation, mental health and more. Considering the fast-paced lives that individuals live, people usually prefer to exercise or work-out from the comfort of their homes and with that a need for an instructor arises. Hence why, we have developed a self-assisted system which can be used to detect and classify yoga asanas, which is discussed in-depth in this paper. Especially now when the pandemic has taken over the world, it is not feasible to attend physical classes or have an instructor over. Using the technology of Computer Vision, a computer-assisted system such as the one discussed, comes in very handy. The technologies such as ml5.js, PoseNet and Neural Networks are made use for the human pose estimation and classification. The proposed system uses the above-mentioned technologies to take in a real-time video input and analyze the pose of an individual, and classifies the poses into yoga asanas. It also displays the name of the yoga asana that is detected along with the confidence score
PREVALENCE OF OBSTRUCTIVE SLEEP APNEA IN CASES OF METABOLIC SYNDROME: A CROSS-SECTIONAL STUDY
No full textObjectives: The study aimed to find out the prevalence of obstructive sleep apnea (OSA) in individuals with metabolic syndrome (MS).
Methods: This was a cross-sectional study conducted in the department of respiratory medicine of a tertiary care medical institute. Eighty patients infected with MS diagnosed on the basis of national cholesterol education program adult treatment panel III criteria were included in this study on the basis of predefined inclusion and exclusion criteria. Demographic details such as age, gender, and socioeconomic status of all the patients were noted. A thorough general and clinical examination was conducted, including the assessment of vital signs. Polysomnography was done in all cases and the diagnosis of OSA was based on polysomnography results. SSPS 21.0 was used for statistical analysis and p<0.05 was taken as statistically significant.
Results: Out of 80 patients, there were 58 (72.50%) males and 22 (27.50%) females with a M: F ratio of 1: 0.37. The overall mean age of the studied cases was found to be 44.60±12.92. Mild (apnea-hypopnea index [AHI] 5–14), moderate (AHI=15–30), and severe OSA (AHI >30) was seen in 33 (41.25%), 17 (21.25%) and 9 (11.25%) patients, respectively. Overall prevalence of OSA in cases of MS was found to be 73.75% as the severity of OSA increased there was decreased in mean sleep time and the difference was found to be statistically significant (p<0.05). The most common presenting complaint was loud snoring, observed in 55 patients (93.22%). This was followed by daytime sleepiness in 47 patients (79.66%), waking up tired in 37 patients (62.71%), and disturbed sleep in 36 patients (61.02%).
Conclusion: The prevalence of OSA is notably high among individuals with MS. Consequently, routine assessment for OSA should be an integral component of the management strategy for patients with MS
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