3,900 research outputs found
Immediately observation on post-LASIK corneal flap
AIM:To immediately observe the complication of corneal flap after LASIK surgery.<p>METHODS:A retrospective case series were studies.Totally 2 040 cases(4 080 eyes)from January 2010 to October 2012 in our hospital were collected, the corneal flap was observed using lamp microscope after LASIK within 30min. Corneal flap dislocation, corneal flap strial and intraface debris were examined after operation, the effective treatment and controlled measure should be taken for these complications.<p>RESULTS: Postoperative complications were corneal flap dislocation 102 eyes(2.5%), corneal flapstriae 95 eyes(2.33%), interface debris 105 eyes(2.57%). No failure case was seen. There had no corneal flap-related complications, which seriously impact the visual quality after the surgery.<p>CONCLUSION: Carefully postoperative examination at the first-time is an effective way to manage some complications of post-LASIK. Thus promoting the diagnosis and treatment of post-LASIK complications
p38MAPK plays a pivotal role in the development of acute respiratory distress syndrome
Acute respiratory distress syndrome (ARDS) is a life-threatening illness characterized by a complex pathophysiology, involving not only the respiratory system but also nonpulmonary distal organs. Although advances in the management of ARDS have led to a distinct improvement in ARDS-related mortality, ARDS is still a lifethreatening respiratory condition with long-term consequences. A better understanding of the pathophysiology of this condition will allow us to create a personalized treatment strategy for improving clinical outcomes. In this article, we present a general overview p38 mitogen-activated protein kinase (p38MAPK) and recent advances in understanding its functions. We consider the potential of the pharmacological targeting of p38MAPK pathways to treat ARDS
A Comparative Study on Improved Arrhenius-Type and Artificial Neural Network Models to Predict High-Temperature Flow Behaviors in 20MnNiMo Alloy
The stress-strain data of 20MnNiMo alloy were collected from a series of hot compressions on Gleeble-1500 thermal-mechanical simulator in the temperature range of 1173∼1473 K and strain rate range of 0.01∼10 s−1. Based on the experimental data, the improved Arrhenius-type constitutive model and the artificial neural network (ANN) model were established to predict the high temperature flow stress of as-cast 20MnNiMo alloy. The accuracy and reliability of the improved Arrhenius-type model and the trained ANN model were further evaluated in terms of the correlation coefficient (R), the average absolute relative error (AARE), and the relative error (η). For the former, R and AARE were found to be 0.9954 and 5.26%, respectively, while, for the latter, 0.9997 and 1.02%, respectively. The relative errors (η) of the improved Arrhenius-type model and the ANN model were, respectively, in the range of −39.99%∼35.05% and −3.77%∼16.74%. As for the former, only 16.3% of the test data set possesses η-values within ±1%, while, as for the latter, more than 79% possesses. The results indicate that the ANN model presents a higher predictable ability than the improved Arrhenius-type constitutive model
(2E,6E)-2,6-Difurfurylidenecyclohexanone
The complete molecule of the title compound, C16H14O3, is generated by crystallographic mirror symmetry, with two C atoms and one O atom lying on the mirror plane. The molecule adopts an E configuration about the C=C bond and the dihedral angle between the furan rings is 16.1 (2)°
Fair or Not: Effects of Gamification Elements on Crowdsourcing Participation
Fairness perceptions have been found to be a critical driving factor for solvers’ engagement in crowdsourcing. However, the literature still lacks on how to design crowdsourcing platform to enhance solvers’ fairness perceptions. By integrating organizational justice theory with the gamification literature, we conceptualize solvers’ perceptions of two typical gamification elements: the point-rewarding perception and the feedback-giving perception. We develop model to explain the effects of gamification perceptions on both distributive and interpersonal justice perceptions, which are conducive to solvers’ participation. Based on a survey of 295 solvers, we apply the partial least squares-structural equation modeling (PLS-SEM) approach to test the research model. Results show that both point-rewarding perception and feedback-giving perception can enhance the distributive and interpersonal justice perceptions which, in turn, foster solvers’ crowdsourcing participation. Theoretical contributions and practical implications are discussed
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation
Despite pre-trained language models such as BERT have achieved appealing
performance in a wide range of natural language processing tasks, they are
computationally expensive to be deployed in real-time applications. A typical
method is to adopt knowledge distillation to compress these large pre-trained
models (teacher models) to small student models. However, for a target domain
with scarce training data, the teacher can hardly pass useful knowledge to the
student, which yields performance degradation for the student models. To tackle
this problem, we propose a method to learn to augment for data-scarce domain
BERT knowledge distillation, by learning a cross-domain manipulation scheme
that automatically augments the target with the help of resource-rich source
domains. Specifically, the proposed method generates samples acquired from a
stationary distribution near the target data and adopts a reinforced selector
to automatically refine the augmentation strategy according to the performance
of the student. Extensive experiments demonstrate that the proposed method
significantly outperforms state-of-the-art baselines on four different tasks,
and for the data-scarce domains, the compressed student models even perform
better than the original large teacher model, with much fewer parameters (only
) when only a few labeled examples available.Comment: AAAI202
DNMT3a in the hippocampal CA1 is crucial in the acquisition of morphine self‐administration in rats
Drug‐reinforced excessive operant responding is one fundamental feature of long-lasting addiction‐like behaviors and relapse in animals. However, the transcriptional regulatory mechanisms responsible for the persistent drug‐specific (not natural rewards) operant behavior are not entirely clear. In this study, we demonstrate a key role for one of the de novo DNA methyltransferase, DNMT3a, in the acquisition of morphine self‐administration (SA) in rats. The expression of DNMT3a in the hippocampal CA1 region but not in the nucleus accumbens shell was significantly up‐regulated after 1‐ and 7‐day morphine SA (0.3 mg/kg/infusion) but not after the yoked morphine injection. On the other hand, saccharin SA did not affect the expression of DNMT3a or DNMT3b. DNMT inhibitor 5‐aza‐2‐deoxycytidine (5‐aza) microinjected into the hippocampal CA1 significantly attenuated the acquisition of morphine SA. Knockdown of DNMT3a also impaired the ability to acquire the morphine SA. Overall, these findings suggest that DNMT3a in the hippocampus plays an important role in the acquisition of morphine SA and may be a valid target to prevent the development of morphine addiction.
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Preparation of Tradescantia pallida-mediated zinc oxide nanoparticles and their activity against cervical cancer cell lines
Purpose: To synthesize zinc oxide nanoparticles (ZnO NPs) using Tradescantia pallida. (Commelinaceae) and determine their fluorescent and cytotoxic properties.Methods: ZnO NPs were synthesized according to a simple protocol using T. pallida aqueous leaf extract (TPALE). Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) were used to analyze the morphology of the ZnO NPs. X-ray diffraction (XRD) and Fourier transforminfrared spectroscopy (FTIR) measurements were performed to determine their crystalline nature and functional groups, respectively. Fluorescence spectroscopy was used to assess the photoluminescence properties of ZnO NPs. Upon confirmation of ZnO NP synthesis, cytotoxicity tests were carried out against HeLa cell line by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay.Results: The agglomerated ZnO NPs were rod-shaped and had a mean particle size of 25 ± 2 nm. Further, they exhibited good photoluminescence with correlation to ZnO crystals. MTT assay results indicated significant cytotoxicity against HeLa cervical cancer cell line.Conclusion: A simple approach for ZnO NP synthesis based on TPALE has been developed successfully. The synthesized ZnO NPs demonstrate good luminescence properties and cytotoxicity against cervical cancer line.Keywords: Commelinaceae, Cytotoxicity, Photoluminescence, Setcreasea pallida, Setcreasea purpurea, Tradescantia pallida, ZnO nanoparticle
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