Comparison of the effect of liquid humic fertilizers on yield of maize genotypes in Ardabil region

In order to investigate the response of maize genotypes against the  application of two types of liquid humic fertilizers (derived from peat and  leonardite), an experiment was conducted as factorial based on completely  randomized block design with three replications. The main factor was included three conditions (application of peat based and leonardite based humic  fertilizer, without the application of humic fertilizer) whereas the sub-factor  included six maize genotypes. Results indicate that there was a significant  difference between experimental conditions in terms of grain yield at 1% and biological yield at 5% probability levels. Results from mean comparison  indicate that ZP677 had the highest (20.89 ton/ha) biological yield, whereas OS 499 had the lowest (16.93 ton/ha). Application of leonardite based liquid humic fertilizer proved to be more productive than the two other conditions. This humic fertilizer produced the highest values for biological yield (21.99 ton/ha) and grain yield (7.09 ton/ha).Key words: Maize, humic, fertilizer, yield

Natural photosensitizers for dye sensitized solar cells

Dye-sensitized solar cells (DSSCs) were constructed by using the Lawsonia inermis leaves, Sumac/Rhus fruits, and Curcuma longa roots as natural sensitizers of anatase-based nanostructure TiO2 thin film Paint-coated on ITO conducting glass. The orange-red Lawsone, red purple anthocyanin and yellow Curcumin are the main components in the natural dyes obtained from these natural products. A blend of 50 wt% chitosan and 50 wt% polyethylene oxide (PEO) was used as a solid state thin film electrolyte. The polymer blend was complexed with ammonium iodide (NH4I) and some iodine crystals were added to the polymer–NH4I solution to provide I-/I3- redox couple. The ionic conductivity of the polymer electrolyte is 1.18x10-5 S cm-1 at room temperature. Structural and optical properties of the semiconductor thin films were characterized by X-ray diffractometer and UV-VIS spectrophotometer. The XRD shows nanocrystalline structures for TiO2 thin films (D=13nm). The photovoltaic properties of the cell have been studied and the best overall solar energy conversion efficiency of 1.75% was obtained, under AM 1.5 irradiation, with the red purple Sumac/Rhus extract, that showed a reasonable current density (Jsc = 0.93 mA/cm2)

Natural dye coated nanocrystalline Tio2 electrode films for DSSCs

Nanocrystalline TiO2 thin films were successfully prepared by dip-coating technique on ITO conductive glass substrates at low temperature. Dye-sensitized solar cells based on these films have exhibited high overall light-to-electricity conversion efficiency of 4.67 % under illumination intensity 100 mW/cm2

How Fault Interpretation Method May Influence the Assessment of a Fault-bound CO2 Storage Site

Interpretation of faults in the subsurface hinges on utilising an optimum picking strategy, i.e. the seismic line spacing. Differences in line spacing lead to significant changes in subsequent fault analyses such as fault growth, fault seal and fault stability, all of which are crucial when analysing a fault-bound CO2 storage site. With the ever-advancing technologies, machine learning techniques, such as Deep Neural Networks (DNN), used for fault extraction are becoming increasingly common, however their limitations and corresponding uncertainty is still largely unknown. We show how fault extraction using DNN compares with faults that have been picked manually, and with different line spacing. Uncertainty related to both manual and automated fault extraction methods are heavily reliant on seismic quality. As such, faults that are well-imaged show a closer similarity to those that have been manually picked. Conversely, DNN picking of poorly imaged faults creates a fault surface that is more irregular and with a lower predicted stability than the smoother and simpler fault model created by manual picking. We conclude that fault picking by DNN without in-depth expertise works for well-imaged faults; poorly imaged faults require additional considerations and quality control for both manually and DNN picked faults

Natural photosensitizers for dye sensitized solar cells

Dye-sensitized solar cells (DSSCs) were constructed by using the Lawsonia inermis leaves, Sumac/Rhus fruits, and Curcuma longa roots as natural sensitizers of anatase-based nanostructure TiO2 thin film Paint-coated on ITO conducting glass. The orange-red Lawsone, red purple anthocyanin and yellow Curcumin are the main components in the natural dyes obtained from these natural products. A blend of 50 wt% chitosan and 50 wt% polyethylene oxide (PEO) was used as a solid state thin film electrolyte. The polymer blend was complexed with ammonium iodide (NH4I) and some iodine crystals were added to the polymer–NH4I solution to provide I-/I3- redox couple. The ionic conductivity of the polymer electrolyte is 1.18x10-5 S cm-1 at room temperature. Structural and optical properties of the semiconductor thin films were characterized by X-ray diffractometer and UV-VIS spectrophotometer respectively. The XRD shows nanocrystalline structures for TiO2 thin films (D=13nm). The photovoltaic properties of the cell have been studied and the best overall solar energy conversion efficiency of 1.5% was obtained, under AM 1.5 irradiation, with the red purple Sumac/Rhus extract, that showed a reasonable current density (Jsc = 0.93 mA/cm2)

A sentiment analysis software framework for the support of business information architecture in the tourist sector

In recent years, the increased use of digital tools within the Peruvian tourism industry has created a corresponding increase in revenues. However, both factors have caused increased competition in the sector that in turn puts pressure on small and medium enterprises' (SME) revenues and profitability. This study aims to apply neural network based sentiment analysis on social networks to generate a new information search channel that provides a global understanding of user trends and preferences in the tourism sector. A working data-analysis framework will be developed and integrated with tools from the cloud to allow a visual assessment of high probability outcomes based on historical data, to help SMEs estimate the number of tourists arriving and places they want to visit, so that they can generate desirable travel packages in advance, reduce logistics costs, increase sales, and ultimately improve both quality and precision of customer service

Substitutional doping of Cu in diamond: Mott physics with pp orbitals

Discovery of superconductivity in the impurity band formed by heavy doping of boron into diamond (C:B) as well as doping of boron into silicon (Si:B) has provided a rout for the possibility of new families of superconducting materials. Motivated by the special role played by copper atoms in high temperature superconducting materials where essentially Cu $d$ orbitals are responsible for a variety of correlation induced phases, in this paper we investigate the effect of substitutional doping of Cu into diamond. Our extensive first principle calculations averaged over various geometries based on density functional theory, indicates the formation of a mid-gap band, which mainly arises from the $t_{2g}$ and $4p$ states of Cu. For impurity concentrations of more than $\sim 1$2p$bands of neighboring carbon atoms can be ignored. Based on our detailed analysis, we suggest a two band model for the mid-gap states consisting of a quarter-filled hole like$t_{2g}$band, and a half-filled band of$4p$states. Increasing the concentration of the Cu impurity beyond$\sim 5%, completely closes the spectral gap of the host diamond.Comment: 5 figure

The trend of changes in depression, anxiety and stress in men with lower limb trauma: A prospective study

Introduction: Activity restrictions can have potential impacts on the prevalence of mental disorders. However, in patients with lower limb traumas the problems and the physical disabilities are usually taken more into consideration than mental status, while they refer for further examinations. Therefore, this study is aimed to investigate the changes in the process of depression, anxiety and stress in men with lower limb traumas. Materials and Methods: In a prospective study the patients with lower limb traumas, who have been hospitalized in Amir Al-Mo�menin and Kowsar hospitals in Semnan since June 2012 to August 2015, were selected randomly and studied. The data was collected by demographic and incident questionnaire and depression, anxiety and stress questionnaire. At first the patients were asked to complete the questionnaires based on their psychological experience of one month prior to the trauma. Then same questionnaires were completed by the patients one and three months after the trauma. The data was analyzed using Friedman and Wilcoxon tests. Results: The data of 157 patients was analyzed. The results showed that there was a significant difference in the severity of depression disorders, anxiety and stress in three stages of the study (P0.05). Conclusion: The prevalence of depression, anxiety and stress is increased in people with lower limb traumas. Therefore it is recommended that the patients with lower limb traumas to be supported mentally, socially and economically. © 2016, Semnan University of Medical Sciences. All rights reserved