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Showing 3 results for Habibullah
Volume 11, Issue 1 (6-2021)
Abstract
Increasing greenhouse gas emissions and global warming and government support for renewable sources, as well as recent advances in electricity generation and related technologies, have led to the penetration of renewable energy products in the electricity supply chain. The infiltration of these resources, despite the uncertainty in their output power, has faced serious challenges in power supply chain planning. In this research, an effective and efficient method for security and probabilistic planning of power supply chain development is presented, taking into account the uncertainty of renewable energy production and the uncertainty of peak consumption. In the proposed method, a high limit for the allowable load cut is considered and the effect of existing uncertainties and changes in the high load cut limit on the investment cost of the supply chain is evaluated. The proposed method is implemented on the network by MATLAB software and solved by genetic algorithm. The final model of this method can be used effectively to plan the supply chain of the electricity network with the influence of renewable energy products.
Volume 13, Issue 3 (4-2023)
Abstract
This study examines the factors affecting the model that is presented for the competitiveness of selected knowledge-based companies in the fourth industrial revolution. 23 components were identified and categorized into six factors: causal, contextual, intervening, central phenomenon, strategies and measures, and consequences. Using these components, a questionnaire was designed to determine the current status of selected knowledge-based companies in Iran, and a total of 127 completed questionnaires were collected from 197 knowledge-based manufacturing companies of the first type in the field of electricity and electronics, laser and photonics in the country. was done to examine the current state of the model components. The data was analyzed with SPSS and PLS software. In the analysis carried out, the coefficients of factor loadings of the components are more than 0.4, which shows the appropriateness of this model. Cronbach's alpha and composite reliability is more than 0.7, which indicates the appropriate reliability of the model. Construct validity, convergent validity and divergent validity also had favorable results. The results showed that all the components in the presented model for the competitiveness of selected knowledge-based companies in the fourth industrial revolution played a role, and the current state of all factors except the causal factor, which is in an average state, are in a favorable state.
Volume 26, Issue 5 (9-2024)
Abstract
MicroRNAs (miRNAs) are typically small, endogenous, non-coding RNAs molecules that regulate gene expression at post-transcriptional level by mRNA degradation or translational repression. They are composed of 18-26 nucleotides and are conserved during evolution for the development of new miRNAs in a variety of plants. Sugarcane (Saccharum officinarum) is generally a valuable food and forage crop grown all over the world. Until now, different sugarcane miRNAs have been characterized for plant development and stress responses. In this research, 50 unique conserved sugarcane miRNAs from 44 different miRNA families have been predicted using a variety of genomics-based tools. The predicted sugarcane miRNAs were validated using a set of 15 randomly chosen primers and RT-PCR. Stem loop secondary structures are created using MFOLD tool. The psRNA-Target algorithm identified 7,976 various protein targets of sof-miRNAs including 55 specific GO terms. They have significant targets in biological, cellular, and molecular functions. Moreover, the sof-miR5205a regulates sulfur compound biosynthetic process and 9653a directs ubiquitin-dependent protein catabolic process. Consequently, the RNA binding and thylakoid membrane are controlled by sof-miR9657b and 2091, respectively. As a result, the outcomes of the novel sugarcane miRNAs target a variety of substantial genes that aid in controlling the environment for sugarcane to produce a higher quality crop.
