The Input Hypothesis Model

Author(s):  
Vivian Cook
Author(s):  
Jainey James ◽  
Divya Jyothi ◽  
Sneh Priya

Aims: The present study aim was to analyse the molecular interactions of the phytoconstituents known for their antiviral activity with the SARS-CoV-2 nonstructural proteins such as main protease (6LU7), Nsp12 polymerase (6M71), and Nsp13 helicase (6JYT). The applied in silico methodologies was molecular docking and pharmacophore modeling using Schrodinger software. Methods: The phytoconstituents were taken from PubChem, and SARS-CoV-2 proteins were downloaded from the protein data bank. The molecular interactions, binding energy, ADMET properties and pharmacophoric features were analysed by glide XP, prime MM-GBSA, qikprop and phase application of Schrodinger respectively. The antiviral activity of the selected phytoconstituents was carried out by PASS predictor, online tools. Results: The docking score analysis showed that quercetin 3-rhamnoside (-8.77 kcal/mol) and quercetin 3-rhamnoside (-7.89 kcal/mol) as excellent products to bind with their respective targets such as 6LU7, 6M71 and 6JYT. The generated pharmacophore hypothesis model validated the docking results, confirming the hydrogen bonding interactions of the amino acids. The PASS online tool predicted constituent's antiviral potentials. Conclusion: The docked phytoconstituents showed excellent interactions with the SARS-CoV-2 proteins, and on the outset, quercetin 3-rhamnoside and quercetin 7-rhamnoside have well-interacted with all the three proteins, and these belong to the plant Houttuynia cordata. The pharmacophore hypothesis has revealed the characteristic features responsible for their interactions, and PASS prediction data has supported their antiviral activities. Thus, these natural compounds could be developed as lead molecules for antiviral treatment against SARS-CoV-2. Further in-vitro and in-vivo studies could be carried out to provide better drug therapy.


2020 ◽  
Author(s):  
Huanlin Wang ◽  
LanYu Liang ◽  
ChunLin Du ◽  
YongKang Wu

BACKGROUND Online hospitals are part of an innovative model that allows China to explore telemedicine services based on national conditions with large populations, uneven distribution of medical resources, and lack of quality medical resources, especially among residents needing to be protected from COVID-19 infection. OBJECTIVE In this study, we built a hypothesis model based on the unified theory of acceptance and use of technology in order to analyze the factors that may influence patients’ willingness to use mobile medical services. This research was designed to assist in the development of mobile medical services. Residents who do not live in urban areas and cannot access medical assistance would greatly benefit from this research, as they could immediately go to the online hospital when needed. METHODS A cross-sectional study based at the West China Hospital, Sichuan University, was conducted in July 2020. A total of 407 respondents, 18 to 59 years old, in Western China were recruited by convenience sampling. We also conducted an empirical test for the hypothesis model and applied structural equation modeling to estimate the significance of path coefficients so that we could better understand the influencing factors. RESULTS Out of 407 respondents, 95 (23.3%) were aware of online hospitals, while 312 (76.7%) indicated that they have never heard of online hospitals before. Gender (<i>P</i>=.048) and education level (<i>P</i>=.04) affected people’s willingness to use online hospitals, and both of these factors promoted the use of online hospitals (odds ratio [OR] 2.844, 95% CI 1.010-8.003, and OR 2.187, 95% CI 1.031-4.636, respectively). According to structural equation modeling, the results of the path coefficient analysis indicated that performance expectancy, effort expectancy, and facilitating conditions have positive effects on patients’ willingness to use online hospitals. CONCLUSIONS The goal of our research was to determine the factors that influence patients’ awareness and willingness to use online hospitals. Currently, the public’s awareness and usage of online hospitals is low. In fact, effort expectancy was the most important factor that influenced the use of online hospitals; being female and having a high education also played positive roles toward the use of mobile medical services.


2021 ◽  
Vol 3 (5) ◽  
pp. 194-199
Author(s):  
Yueyang Zhao

This article analyses the factors influencing the process of input-intake conversion and focuses on the effect of “reduced forms” on English as a Second Language (ESL) learners’ listening comprehension. The Input Hypothesis, the Noticing Hypothesis, the input-intake relationship, and the factors influencing the input-intake relationship are critically reviewed and analyzed. The empirical study of Brown and Hilferty [1] is reviewed and discussed to show reduced forms’ influence on ESL learners’ listening comprehension. The results prove that integrating reduced forms into ESL lessons is both necessary and meaningful for improving students’ listening comprehension ability.


1984 ◽  
Vol 3 (1) ◽  
pp. 11-15 ◽  
Author(s):  
JEREMY HARMER
Keyword(s):  

Author(s):  
Hairong Jia ◽  
Weimei Wang ◽  
Dong Wang ◽  
Xueying Zhang

Aiming at the problem of auditory negative enhancement of typical phase reconstruction method, an improved method of phase reconstruction and MMSE-LSA estimation is proposed. First, the geometric relationship between noisy speech and clean speech in unvoiced segment is used to estimate the phase of the clean speech; Second, considering the randomness of speech appearance in the actual noise environment, a modified MMSE-LSA amplitude estimation is proposed by using the binary hypothesis model. Finally, the new phase reconstruction in voiced and unvoiced speech is combined with the modified MMSE-LSA. The simulation results show that the performance of the algorithm proposed in this paper is better than typical phase reconstruction method in terms of the SegSNR and PESQ.


2011 ◽  
Vol 9 (1) ◽  
pp. 11-25 ◽  
Author(s):  
Zoltán Kövecses

Several scholars have proposed alternative views to conceptual metaphor theory (see, for example, Ortony, 1993; Barnden, 2006; Wilson and Carston, 2006, 2008; Vega, 2007; Gibbs, 2008). How are the modified, refined, and alternative theories related to each other and standard conceptual metaphor theory, and which theory provides the best account of the phenomenon of metaphor? The particular approaches I will consider in this paper include the theory of metaphor as categorization, standard conceptual metaphor theory, blending theory, the neural theory of metaphor, conceptual metaphor theory as based on the idea of main meaning focus, and relevance theory. I will present the various theories through the analysis of a single metaphorical sentence: This surgeon is a butcher. I will propose that conceptual metaphor theory as based on the idea of the main meaning focus gives us a good way of characterizing the emergence of the sentence’s meaning. This characterization consists of a four-stage process. First, there exist two independent conceptual categories: BUTCHERY and SURGERY. Second, due to the similarity between the two, a metaphorical relationship is established between them. Third, the property of incompetence emerges in the concept of BUTCHERY in light of and against the background of the concept of SURGERY. Fourth, this property is projected into the blend, in which the property will now characterize the surgeon. I will point out that this approach is compatible with several other views, such as Ruiz de Mendoza’s Combined Input Hypothesis and with aspects of relevance theory.


Sign in / Sign up

Export Citation Format

Share Document