13,867 research outputs found
Expression of Green Fluorescence Protein (GFP) in Zebrafish Muscle through Injection: A Gene Therapy Model
Expression of the target gene is important for gene therapy. Presently, localized transgenesis is used for gene therapy which can be achieved by a target gene expression. Here, we have reported the plasmid mediated gene therapy to zebrafish model. For this purpose, we have chosen green fluorescent protein (GFP) as a target gene because the expression can be detected easily. GFP was inserted in a plasmid vector, pQE30 to develop the vector pQE30GFP. The plasmid pQE30GFP was constructed form plasmid, pQE30 and pEGFPC2. pQE30GFP injected directly in one group of fish into the muscle where luciferase expression was noted. In another group, after injection electroporation was performed where we have also noted luciferase expression; but, electroporation cause muscle injury to the zebrafish. In our case, the expression was very strong at the site of injection in first group in compare to electroporation group and in both the cases expression was stable more than two weeks
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Short-Term Precipitation Forecast Based on the PERSIANN System and LSTM Recurrent Neural Networks
Short-term Quantitative Precipitation Forecasting is important for flood forecasting, early flood warning, and natural hazard management. This study proposes a precipitation forecast model by extrapolating Cloud-Top Brightness Temperature (CTBT) using advanced Deep Neural Networks, and applying the forecasted CTBT into an effective rainfall retrieval algorithm to obtain the Short-term Quantitative Precipitation Forecasting (0ā6 hr). To achieve such tasks, we propose a Long Short-Term Memory (LSTM) and the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), respectively. The precipitation forecasts obtained from our proposed framework, (i.e., LSTM combined with PERSIANN) are compared with a Recurrent Neural Network (RNN), Persistency method, and Farneback optical flow each combined with PERSIANN algorithm and the numerical model results from the first version of Rapid Refresh (RAPv1.0) over three regions in the United States, including the states of Oregon, Oklahoma, and Florida. Our experiments indicate better statistics, such as correlation coefficient and root-mean-square error, for the CTBT forecasts from the proposed LSTM compared to the RNN, Persistency, and the Farneback method. The precipitation forecasts from the proposed LSTM and PERSIANN framework has demonstrated better statistics compared to the RAPv1.0 numerical forecasts and PERSIANN estimations from RNN, Persistency, and Farneback projections in terms of Probability of Detection, False Alarm Ratio, Critical Success Index, correlation coefficient, and root-mean-square error, especially in predicting the convective rainfalls. The proposed method shows superior capabilities in short-term forecasting over compared methods, and has the potential to be implemented globally as an alternative short-term forecast product
Population Growth and Competition Models with Decay and Competition Consistent Delay
We derive an alternative expression for a delayed logistic equation in which
the rate of change in the population involves a growth rate that depends on the
population density during an earlier time period. In our formulation, the delay
in the growth term is consistent with the rate of instantaneous decline in the
population given by the model. Our formulation is a modification of [Arino et
al., J.~Theoret.~Biol.~241(1):109--119, 2006] by taking the intraspecific
competition between the adults and juveniles into account. We provide a
complete global analysis showing that no sustained oscillations are possible. A
threshold giving the interface between extinction and survival is determined in
terms of the parameters in the model. The theory of chain transitive sets and
the comparison theorem for cooperative delay differential equations are used to
determine the global dynamics of the model.
We extend our delayed logistic equation to a system modeling the competition
of two species. For the competition model, we provide results on local
stability, bifurcation diagrams, and adaptive dynamics. Assuming that the
species with shorter delay produces fewer offspring at a time than the species
with longer delay, we show that there is a critical value, , such that
the evolutionary trend is for the delay to approach .Comment: 22 pages, 6 figures, 1 tabl
Polychronicity, Decision-making and Entrepreneurial Self-efficacy of Venture Team Founders: An Exploratory Study
Purpose - This study explores the role of polychronic temporal orientation and decision-making decentralization on founders\u27 perceptions of entrepreneurial self-efficacy (ESE).
Design/methodology/approach - Longitudinal survey data were collected from 141 business founders in China.
Findings - Findings suggest that decision-making decentralization is positively associated with founders\u27 ESE. In addition, a polychronic temporal orientation is positively related to ESE, and this relationship is mediated by decision-making decentralization.
Originality/value - This study adds to existing knowledge on ESE and temporal related issues by presenting empirical evidence that explains how and why the temporal orientation context and the practice of decision-making decentralization can shape ESE perceptions among venture founders
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Comparing the Use of Research Resource Identifiers and Natural Language Processing for Citation of Databases, Software, and Other Digital Artifacts
Applying the selective Cu electroplating technique to light-emitting diodes
[[abstract]]We successfully fabricated a predefined patterned copper (Cu) substrate for thin GaN light-emitting diodes without barriers by the selective electroplating technique. The contours of Cu bumps fabricated using different electroplating modes and parameters were measured. We observed that the average thickness diminished with increasing current density. The current density conditions to obtain the best upright structure in the process were 40 and 80 mA/cm2.[[notice]]č£ę£å®ē¢[[incitationindex]]SCI[[booktype]]ē“ę¬[[booktype]]é»å
EFFECTIVENESS OF INTERGENERATIONAL PROGRAM IN IMPROVING COMMUNITY SENIOR CITIZENSā GENERAL HEALTH AND HAPPINESS
Intergenerational programs (IGPs) encourage senior citizens tocontinue engaging in social participation, preserving their independence, andenriching their later life. However, IGPs in Taiwan (IGPs-T) are notprevalent and generally more apply between children and senior citizensexist only, which lack in-depth exchanges the senior citizenās life experienceand communication the young people. Relevant empirical results regardingthe effectiveness of IGPs activities on community senior citizensā health andhappiness are lacking. The objective of this study was to improve the mutualunderstanding and inclusion between community senior citizens and younggenerations, thereby improving the senior citizensā physical and mentalhealth functions and happiness.This was a two-group pre and post-test quasi-experimental studydesign and purposive sampling was used to recruit community senior citizensin Taipei City as research participants (N = 118). The experimental group (n= 55) received 90-min IGP-T activities once a week for 8 weeks. The controlgroup (n = 63) received general health services providing by communityhealth nurses in community.The outcomes of the experimental group significant progress in thehappiness (t=2.82, p=.007), and emotional well-being (EWB) (t=4.61,pā¦.001) from pre-test to post-test. And the experimental group wassignificantly superior to control group in perceived health status (PHS)(t=3.79, pā¦.001), happiness (t=3.82, pā¦.001), and emotional well-being(EWB) (t=4.93, pā¦.001) at post-test, and achieve a statistically significantdifference
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