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Purpose: Vernal keratoconjunctivitis (VKC) is a refractory ocular allergic disorder that mainly affects boys. Long-term follow-up has been rarely reported for VKC. We investigated the long-term clinical outcome of VKC to identify relevant clinical features of prognostic value based on follow-up for a median of 70 months. Methods: In total, 45 consecutive patients clinically diagnosed with VKC aged 4 to 12 years at onset at the Department of Ophthalmology of Fukuoka University Hospital were included. Patients were treated with immunosuppressive eye drops without simultaneous corticosteroid eye drops, except for the occurrence of exacerbations. Collated variables were gender, age at onset, clinical score of ocular lesions (conjunctival giant papillae, limbal edema and corneal epithelial lesions) at the first visit, and clinical score of atopic dermatitis (AD) at baseline. Cumulative cure rate was estimated using Kaplan–Meier method. A binomial logistic predictive model was used to determine the most reliable clinical predictors of VKC outcome. Results: The observation period ranged from 24 to 188 months, with median of 70 months. Among the 45 cases enrolled, all non-cured cases (14 cases) observed clinically were complicated by AD. Cumulative cure rate was 74.5% and 84.9% at eight- and ten-year follow-up, respectively. Ten-year cumulative cure rates of cases with and without AD were 50.5% and 100%, respectively, and a significant difference was found between these cumulative cure curves. Binomial regression analysis revealed that AD and gender were significantly related to worse outcome, and this binomial regression model had high sensitivity and specificity. Conclusion: This study demonstrated that th eclinical outcomeof VKC might be predicted by several factors that can beobtained in the early clinical phase. Information on the long-term prognosis of VKC patients might play an important role for precision medicine for VKC in childhood. [ABSTRACT FROM AUTHOR]

Background: We studied the kinetic phenomenon of an airbag impact on eyes with different axial lengths using finite element analysis (FEA) to sequentially determine the physical and mechanical responses of intraocular segments at various airbag deployment velocities. Methods: The human eye model we created was used in simulations with the FEA program PAM-GENERISTM. The airbag was set to impact eyes with axial lengths of 21.85 mm (hyperopia), 23.85 mm (emmetropia) and 25.85 mm (myopia), at initial velocities of 20, 30, 40, 50 and 60 m/s. The deformation rate was calculated as the ratio of the length of three segments, anterior chamber, lens and vitreous, to that at the baseline from 0.2 ms to 2.0 ms after the airbag impact. Results: Deformation rate of the anterior chamber was greater than that of other segments, especially in the early phase, 0.2– 0.4 ms after the impact (P < 0.001), and it reached its peak, 80%, at 0.8 ms. A higher deformation rate in the anterior chamber was found in hyperopia compared with other axial length eyes in the first half period, 0.2– 0.8 ms, followed by the rate in emmetropia (P < 0.001). The lens deformation rate was low, its peak ranging from 40% to 75%, and exceeded that of the anterior chamber at 1.4 ms and 1.6 ms after the impact (P < 0.01). The vitreous deformation rate was lower throughout the simulation period than that of the other segments and ranged from a negative value (elongation) in the later phase. Conclusion: Airbag impact on the eyeball causes evident deformation, especially in the anterior chamber. The results obtained in this study, such as the time lag of the peak deformation between the anterior chamber and lens, suggest a clue to the pathophysiological mechanism of airbag ocular injury. [ABSTRACT FROM AUTHOR]

This paper explains several unique aspects of scrambling. Using the scrambling feature ([SIGMA]-feature) proposed by Grewendorf & Sabel (1999), I discuss (a) what derives the difference between A-scrambling and DP-movement, (b) why scrambling shows radical reconstruction properties, while an operator-variable relation is established in wh-questions, and (c) why we find several types of scrambling. I propose a Feature Interpretation Principle, which states that a feature checking relationship established in derivation is preserved at LF. I show that the Feature Interpretation Principle, together with the multiple feature-checking parameter of Ura (1996) and the nature of heads, explains most of the unique properties of scrambling.

The aims of this study were to perform a three‐dimensional analysis of the craniofacial area, in particular, the temporal bone and to examine the morphological relationship between the temporal bone and asymmetry of the mandible in subjects with mandibular prognathism and facial asymmetry. Subjects were 50 adult orthognathic patients with facial asymmetry and mandibular prognathism. The initial computed tomographic data were reconstructed into three‐dimensional and multiplanar reconstruction images. Linear and angular measurements of the temporal bone and the mandible were obtained. Then deviated and non‐deviated sides were compared and the relationship between the temporal bone and mandibular morphology was investigated. The lengths of the mandibular body and ramus, the anteroposterior and vertical positions of the mandibular fossa, and the slant angle of the posterior surface of the petrous pyramid were significantly smaller (P <.05) on the deviated side than on the non‐deviated side. Further, the left‐right differences in the temporal bone were positively correlated with a deviation of the mandible and differences in the lengths of the mandibular body and ramus (P <.05). The results suggest that asymmetry of the temporal bone is closely related to mandibular asymmetry and might have an important role in the mechanism of facial asymmetry. [ABSTRACT FROM AUTHOR]

Two major endpoints for genotoxicity tests are gene mutation and chromosome damage (CD), which includes clastogenicity and aneugenicity detected by chromosomal aberration (CA) test or micronucleus (MN) test. Many in silico prediction systems for bacterial mutagenicity (i.e. Ames test results) have been developed and marketed. They show good performance for prediction of Ames mutagenicity. On the other hand, it seems that in silico prediction of CD does not progress as much as Ames prediction. Reasons for this include different mechanisms and detection methods, many false positives and conflicting test results. However, some (quantitative) structure–activity relationship ((Q)SAR) models (e.g. Derek Nexus [Derek], ADMEWorks [AWorks] and CASE Ultra [MCase]) can predict CA test results. Therefore, performances of the three (Q)SAR models were compared using the expanded Carcinogenicity Genotoxicity eXperience (CGX) dataset for understanding current situations and future development. The constructed dataset contained 440 chemicals (325 carcinogens and 115 non-carcinogens). Sensitivity, specificity, accuracy or applicability of each model were 56.0, 86.9, 68.6 or 89.1% in Derek, 67.7, 61.5, 65.2 or 99.3% in AWorks, and 91.0, 64.9, 80.5 or 97.7% in MCase, respectively. The performances (sensitivity and accuracy) of MCase were higher than those of Derek or AWorks. Analysis of predictivity of (Q)SAR models of certain chemical classes revealed no remarkable differences among the models. The tendency of positive prediction by (Q)SAR models was observed in alkylating agents, aromatic amines or amides, aromatic nitro compounds, epoxides, halides and N-nitro or N-nitroso compounds. In an additional investigation, high sensitivity but low specificity was noted in in vivo MN prediction by MCase. Refinement of test data to be used for in silico system (e.g. consideration of cytotoxicity or re-evaluation of conflicting test results) will be needed to improve performance of CD prediction. [ABSTRACT FROM AUTHOR]