1,524 research outputs found

    Experimental Resonance Enhanced Multiphoton Ionization (REMPI) studies of small molecules

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    Resonance enhanced multiphoton ionization (REMPI) utilizes tunable dye lasers to ionize an atom or molecule by first preparing an excited state by multiphoton absorption and then ionizing that state before it can decay. This process is highly selective with respect to both the initial and resonant intermediate states of the target, and it can be extremely sensitive. In addition, the products of the REMPI process can be detected as needed by analyzing the resulting electrons, ions, fluorescence, or by additional REMPI. This points to a number of exciting opportunities for both basic and applied science. On the applied side, REMPI has great potential as an ultrasensitive, highly selective detector for trace, reactive, or transient species. On the basic side, REMPI affords an unprecedented means of exploring excited state physics and chemistry at the quantum-state-specific level. An overview of current studies of excited molecular states is given to illustrate the principles and prospects of REMPI

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    Structured Dictionary Learning for Energy Disaggregation

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    The increased awareness regarding the impact of energy consumption on the environment has led to an increased focus on reducing energy consumption. Feedback on the appliance level energy consumption can help in reducing the energy demands of the consumers. Energy disaggregation techniques are used to obtain the appliance level energy consumption from the aggregated energy consumption of a house. These techniques extract the energy consumption of an individual appliance as features and hence face the challenge of distinguishing two similar energy consuming devices. To address this challenge we develop methods that leverage the fact that some devices tend to operate concurrently at specific operation modes. The aggregated energy consumption patterns of a subgroup of devices allow us to identify the concurrent operating modes of devices in the subgroup. Thus, we design hierarchical methods to replace the task of overall energy disaggregation among the devices with a recursive disaggregation task involving device subgroups. Experiments on two real-world datasets show that our methods lead to improved performance as compared to baseline. One of our approaches, Greedy based Device Decomposition Method (GDDM) achieved up to 23.8%, 10% and 59.3% improvement in terms of micro-averaged f score, macro-averaged f score and Normalized Disaggregation Error (NDE), respectively.Comment: 10 Page

    Individual differences in gelotophobia predict responses to joy and contempt

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    In a paradigm facilitating smile misattribution, facial responses and ratings to contempt and joy were investigated in individuals with or without gelotophobia (fear of being laughed at). Participants from two independent samples (N1 = 83, N2 = 50) rated the intensity of eight emotions in 16 photos depicting joy, contempt, and different smiles. Facial responses were coded by the Facial Action Coding System in the second study. Compared with non-fearful individuals, gelotophobes rated joy smiles as less joyful and more contemptuous. Moreover, gelotophobes showed less facial joy and more contempt markers. The contempt ratings were comparable between the two groups. Looking at the photos of smiles lifted the positive mood of non-gelotophobes, whereas gelotophobes did not experience an increase. We hypothesize that the interpretation bias of “joyful faces hiding evil minds” (i.e., being also contemptuous) and exhibiting less joy facially may complicate social interactions for gelotophobes and serve as a maintaining factor of gelotophobia.The research leading to these results has received funding from a research grant from the Swiss National Science Foundation (SNSF; 100014_126967-1

    Risk Factors for the Development of Cataract in Children with Uveitis

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    PURPOSE: To determine the risk factors for the development of cataract in children with uveitis of any etiology. DESIGN: Cohort study. METHODS: Two hundred forty-seven eyes of 140 children with uveitis were evaluated for the development of vision-affecting cataract. Demographic, clinical, and treatment data were collected between the time of presentation and the first instance cataract was recorded or findings at final follow-up. Main outcome measures included the prevalence of cataract and distribution by type of uveitis, incidence of new onset cataract time to cataract development, and risk factors for the development of cataract. RESULTS: The prevalence of cataract in our cohort was 44.2% and was highest among eyes with panuveitis (77.1%), chronic anterior uveitis (48.3%), and intermediate uveitis (48.0%). The overall incidence of newly diagnosed cataract was 0.09 per eye-year, with an estimated 69% to develop uveitis-related cataract with time. The main factors related with cataract development were the number of uveitis flares per year (hazard ratio [HR] = 3.06 [95% confidence interval {CI}, 2.15–4.35], P < .001), cystoid macular edema (HR = 2.87 [95% CI, 1.41–5.82], P = .004), posterior synechia at presentation (HR = 2.85 [95% CI, 1.53–5.30], P = .001), and use of local injections of corticosteroids (HR = 2.37 [95% CI, 1.18–4.75], P = .02). Treatments with systemic and topical corticosteroids were not significant risk factors. CONCLUSIONS: In this study, we found that development of cataract is common among pediatric eyes with uveitis and is most strongly related to the extent of inflammation recurrences and ocular complications. We suggest that controlling the inflammation, even using higher doses of systemic and topical corticosteroids, is of importance in preventing ocular complications, such as cataract. Uveitis accounts for 10–15% of blindness in the developed world.1 Although pediatric uveitis is relatively uncommon, accounting for only 5–10% of all uveitis cases,2 it affects young patients, who in most cases are otherwise healthy. Vision loss results from ongoing inflammation that leads to ocular structural changes, such as cataract, corneal opacities, optic neuropathy, and retinal lesions. The most common causes of vision loss in children with uveitis are cataract, glaucoma, and chronic cystoid macular edema (CME).2, 3 In addition, any chronic visual obstruction can result in the development of amblyopia in younger children, with vision loss persisting after the inciting cause is treated.4 Such changes, together with the need for long-term treatment and continuous monitoring, can have a profound impact on their development, independence, and education. The prevalence of cataract in eyes with uveitis ranges from 20–64%,4, 5, 6, 7 and it is the most common complication of uveitis in children,8 occurring in approximately 35% of children with juvenile idiopathic arthritis (JIA)-associated uveitis9 and increasing ≤80% in adults.10, 11 Cataract progression can be the result of persistent intraocular inflammation,12, 13 can be caused by surgery for uveitis complications (eg, trabeculectomies and repair of retinal detachments), or can be a consequence of uveitis treatment, particularly the use of local or systemic corticosteroids.14, 15, 16, 17 It results in reduced visual acuity and can have a detrimental effect on the development and academic achievements of these children.18 Studies have examined risk factors for the development of cataract among children with JIA-associated uveitis, identifying risk factors such as the presence of posterior synechiae (PS) at presentation,12, 19 the use of systemic corticosteroids,13 topical corticosteroid therapy exceeding 3 drops a day,12 or persistent, uncontrolled active inflammation,3 while early treatment with methotrexate delayed cataract progression.19 However, JIA is a unique cause of uveitis, often localized to the anterior chamber, with frequent intraocular structural changes and the early use of systemic immunosuppressive agents. It may not represent the same risks as other causes of pediatric uveitis. We examined disease- and treatment-related risk factors for cataract development in children with uveitis of any etiology. We investigated clinical and ophthalmologic characteristics, as well as treatment strategies in relation to the time interval between the first presentation with uveitis and cataract development

    Clinical Outcome of Retinal Vasculitis and Predictors for Prognosis of Ischemic Retinal Vasculitis

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    PURPOSE: To determine factors affecting the visual outcome in eyes with retinal vasculitis and the rate of neovascularization relapse in ischemic vasculitis. DESIGN: Retrospective cohort study. METHODS: We reviewed 1169 uveitis patients from Moorfields Eye Hospital, London, UK. Retinal vasculitis was observed in 236 eyes (121 ischemic, 115 nonischemic) that were compared with a control group (1022 eyes) with no retinal vasculitis. Ultra-widefield fluorescein angiography images were obtained in 63 eyes with ischemic vasculitis to quantify area of nonperfusion measured as ischemic index. RESULTS: The risk of vision loss was significantly more in the retinal vasculitis compared with the non-vasculitis group (hazard ratio [HR] 1.67, 95% confidence interval [CI] 1.24–2.25, P = .001). Retinal vasculitis had twice the risk of macular edema compared to the non-vasculitis group. Macular ischemia increased the risk of vision loss in vasculitis eyes by 4.4 times. The use of systemic prednisolone in eyes with vasculitis was associated with a reduced risk of vision loss (HR 0.36, 95% CI 0.15–0.82, P = .01). Laser photocoagulation was administered in 75 eyes (62.0%), out of which 29 (38.1%) had new vessel relapse and required additional laser treatment. The median ischemic index was 25.8% (interquartile range 10.2%–46%). Ischemia involving ≥2 quadrants was associated with increased risk of new vessel formation (HR 2.7, 95% CI 1.3–5.5, P = .003). CONCLUSION: Retinal vasculitis is associated with an increased risk of vision loss, mainly secondary to macular ischemia, and has a higher risk of macular edema compared to eyes with no vasculitis. Ischemia involving ≥2 quadrants is a risk factor for new vessel formation

    Detection of structural mosaicism from targeted and whole-genome sequencing data.

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    Structural mosaic abnormalities are large post-zygotic mutations present in a subset of cells and have been implicated in developmental disorders and cancer. Such mutations have been conventionally assessed in clinical diagnostics using cytogenetic or microarray testing. Modern disease studies rely heavily on exome sequencing, yet an adequate method for the detection of structural mosaicism using targeted sequencing data is lacking. Here, we present a method, called MrMosaic, to detect structural mosaic abnormalities using deviations in allele fraction and read coverage from next-generation sequencing data. Whole-exome sequencing (WES) and whole-genome sequencing (WGS) simulations were used to calculate detection performance across a range of mosaic event sizes, types, clonalities, and sequencing depths. The tool was applied to 4911 patients with undiagnosed developmental disorders, and 11 events among nine patients were detected. For eight of these 11 events, mosaicism was observed in saliva but not blood, suggesting that assaying blood alone would miss a large fraction, possibly >50%, of mosaic diagnostic chromosomal rearrangements
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