‘Tenderstem’ Broccoli for Export Markets: an Analysis Study on the AgroFood Company

Decision case, horticulture, agriculture economics, broccoli production, protected vegetable production, Agricultural Finance, Crop Production/Industries, Production Economics,

Parameter Estimation for the New Weibull Pareto Distribution under Type II Censored Samples

In this paper, parameters estimation under type II censored samples and the corresponding variance covariance matrix for the new WeibullndashPareto distribution are obtained. Nasiru and Luguterah (2015) Results may be considered as a special case from present results. An illustrative example is carried out by using a simulated data

On modeling two immune effectors two strain antigen interaction

In this paper we consider the fractional order model with two immune effectors interacting with two strain antigen. The systems may explain the recurrence of some diseases e.g. tuberculosis (TB). The stability of equilibrium points are studied. Numerical solutions of this model are given. Using integer order system the system oscillates. Using fractional order system the system converges to a stable internal equilibrium. Ulam-Hyers stability of the system has been studied

Investigation of furo[2,3-h]- and pyridazino[3,4-f]cinnolin-3-ol scaffolds as substrates for the development of novel HIV-1 integrase inhibitors

With the aim to develop novel HIV-1 integrase inhibitors, we obtained a set of condensed ring systems based on the furo[2,3-h]cinnolin-3(2H)-one and pyridazino[3,4-f]cinnolin-3-ol scaffolds bearing a potential chelating pharmacophore, which can be involved in the inhibition mechanism of the enzyme. Herein, we report the design, synthesis, structural investigation and preliminary biological results of these heteroaromatic systems

Task Scheduling Optimization in Cloud Computing by Jaya Algorithm

Cloud computing provides resources to its consumers as a service. The cloud computing paradigm offers dynamic services by providing virtualized resources via the internet for enabling applications, and these services are provided by large-scale data centers known as clouds. Cloud computing is entirely reliant on the internet to provide its services to consumers. Cloud computing offers several advantages, including the fact that users only pay for what they use weekly, monthly, or yearly, that anybody with an internet connection may use the cloud, and that there is no need to purchase resources, hardware, or software on their own. This paper proposes an efficient task scheduling algorithm based on the Jaya algorithm for the cloud computing environment. We evaluate the performance of our method by applying it to three instances. The recommended technique produced the optimal solution in makespan, speedup, efficiency, and throughput, according to the findings

Role of hydrogen in volatile behaviour of defects in SiO2-based electronic devices

Charge capture and emission by point defects in gate oxides of metal–oxide–semiconductor field-effect transistors (MOSFETs) strongly affect reliability and performance of electronic devices. Recent advances in experimental techniques used for probing defect properties have led to new insights into their characteristics. In particular, these experimental data show a repeated dis- and reappearance (the so-called volatility) of the defect-related signals. We use multiscale modelling to explain the charge capture and emission as well as defect volatility in amorphous SiO2 gate dielectrics. We first briefly discuss the recent experimental results and use a multiphonon charge capture model to describe the charge-trapping behaviour of defects in silicon-based MOSFETs. We then link this model to ab initio calculations that investigate the three most promising defect candidates. Statistical distributions of defect characteristics obtained from ab initio calculations in amorphous SiO2 are compared with the experimentally measured statistical properties of charge traps. This allows us to suggest an atomistic mechanism to explain the experimentally observed volatile behaviour of defects. We conclude that the hydroxyl-E′ centre is a promising candidate to explain all the observed features, including defect volatility

Impact of copeptin on diagnosis of acute coronary syndrome

AbstractBackgroundAcute coronary syndrome remains the principal cause of death, so the early diagnosis is of great importance. Cardiac troponin is the preferred biomarker for acute myocardial infarction. Cardiac chest pain immediately increased copeptin secretion. The combination of copeptin and cardiac troponin I is being suggested for early diagnosis of acute coronary syndrome.SubjectIt was done to emphasize the importance of association of copeptin, cardiac troponin I and high sensitive C reactive protein to confirm the diagnosis of acute myocardial infarction or unstable angina pectoris in patients with a cardiac chest pain.MethodThe current study enrolled 22 patients with acute myocardial infarction as group i and 33 patients with unstable angina pectoris as group ii. The third group consisted of 23 apparently healthy persons. Patients and controls were subjecting to laboratory investigations, which include the levels of copeptin, high-sensitivity cardiac troponin high sensitive C reactive protein creatine kinase MB fraction, lipid and I profile.ResultsWe found a significant increase of copeptin in group i when compared to group iii (30.01±12.92) (9.54±3.55), respectively, p value=0.000 and group ii (30.01±12.92) (11.16±4.58) respectively, p value 0.000, but a non-significant difference in group ii when compared to group iii (11.16±4.58) (9.54±3.55) respectively, p value=0.160. Also cardiac troponin I showed a significant increase in group i when compared to group ii (136.73±26.07) (11.18±3.79), p value=0.000, and group iii (136.73±26.07) (9.61±3.70) respectively, p value=0.000, but a non-significant difference between group ii (11.18±3.79), and group iii (9.61±3.70), p value=0.129. There was a positive correlation between copeptin and cardiac troponin I within group i, r=0.718, p value=0.000.ConclusionIn suspected acute coronary syndrome, determination of copeptin and cardiac troponin I provides a remarkable negative predictive value, which aids in early and safe ruling out of myocardial infarction