Understanding the molecular basis of plant growth promotional effect of Pseudomonas fluorescens on rice through protein profiling

<p>Abstract</p> <p>Background</p> <p>Plant Growth Promoting Rhizobacteria (PGPR), <it>Pseudomonas fluorescens </it>strain KH-1 was found to exhibit plant growth promotional activity in rice under both <it>in-vitro </it>and <it>in-vivo </it>conditions. But the mechanism underlying such promotional activity of <it>P. fluorescens </it>is not yet understood clearly. In this study, efforts were made to elucidate the molecular responses of rice plants to <it>P. fluorescens </it>treatment through protein profiling. Two-dimensional polyacrylamide gel electrophoresis strategy was adopted to identify the PGPR responsive proteins and the differentially expressed proteins were analyzed by mass spectrometry.</p> <p>Results</p> <p>Priming of <it>P. fluorescens</it>, 23 different proteins found to be differentially expressed in rice leaf sheaths and MS analysis revealed the differential expression of some important proteins namely putative p23 co-chaperone, Thioredoxin h- rice, Ribulose-bisphosphate carboxylase large chain precursor, Nucleotide diPhosphate kinase, Proteosome sub unit protein and putative glutathione S-transferase protein.</p> <p>Conclusion</p> <p>Functional analyses of the differential proteins were reported to be directly or indirectly involved in growth promotion in plants. Thus, this study confirms the primary role of PGPR strain KH-1 in rice plant growth promotion.</p

A comparative study of long short-term memory based long-term electrical load forecasting techniques with hyperparameter optimization

Long-term load forecasting (LTLF) is crucial for reliable electricity supply, infrastructure planning, and informed energy policies, ensuring grid stability and efficient resource allocation. Traditional methods, like statistical models and expert judgment, rely on historical data but may struggle with dynamic changes in technology, regulations, and consumer behavior. Addressing challenges such as economic uncertainties, seasonal variations, data quality, and integrating renewable energy requires advanced forecasting models and adaptive strategies. This research aims to develop an efficient LTLF model for the Coimbatore region in Tamil Nadu, India, using long short-term memory (LSTM) networks. While LSTM has limitations in capturing long- term dependencies and requires high data quality and complex management, optimizing hyperparameters, including through the opposition-based hunter- prey optimization (OHPO) technique, is explored to enhance its predictive performance. The results show that the proposed OHPO-configured LSTM model for LTLF achieves superior performance compared to other techniques, with a mean square error (MSE) of 0.25, root mean square error (RMSE) of 0.5 and mean absolute percentage error (MAPE) of 0.27. This research underscores the significance of improving LTLF precision for informed decision-making in infrastructure planning and energy policy formulation

Impact of a medical university on laparoscopic surgery in a service-oriented public hospital in the Caribbean

INTRODUCTION: The Caribbean lags behind global trends for volume and complexity of laparoscopic operations. In an attempt to promote laparoscopy at a single facility, a partnership was formed between the University of the West Indies (UWI) and the Port of Spain General Hospital in Trinidad and Tobago. This study seeks to document the effect of this partnership on laparoscopic practice. MATERIALS AND METHODS: In this partnership, the UWI took the bold step of volunteering to staff a surgical team if the Ministry of Health provided the necessary legislative changes. On August 1, 2013, a UWI team was introduced with a mandate to optimize teaching and promote laparoscopic surgery. The UWI team had a similar staff complement to the existing service-oriented teams. There was no immediate investment in equipment, hospital beds, ICU beds, or operating room space. Therefore, the new team was introduced with limited change in existing conditions, resources, and equipment. RESULTS: There were 252 laparoscopic operations performed over the study period. After introduction of the UWI team, there was an increase in the mean number of unselected laparoscopic operations (3.17 vs 10.83 cases per month; P<0.001; 95% confidence interval [95% CI] −8.5 to −6.84; standard error of the difference [SED] 0.408), the mean number of basic laparoscopic operations (3.17 vs 6.94 cases per month; P<0.0001; 95% CI −4.096 to −3.444; SED 0.165), the mean number of advanced laparoscopic operations (0 vs 3.89; P<0.0001), the number of teams undertaking unselected laparoscopic operations (2 vs 5), and the number of teams independently performing advanced laparoscopic operations (0 vs 4). CONCLUSION: At this facility, we have demonstrated a significant increase in laparoscopic case volume and complexity when partnerships were formed between the UWI and this service-oriented hospital. Continued cross-fertilization and distribution of skill sets across the surgical community can reasonably be expected. We also identified maneuvers that can be used as a template to build laparoscopic services in other service-oriented hospitals in developing nations

Supplementary Tables 1-4 from Metastasis-Associated Protein 1 and Its Short Form Variant Stimulates &lt;i&gt;Wnt1&lt;/i&gt; Transcription through Promoting Its Derepression from &lt;i&gt;Six3&lt;/i&gt; Corepressor

Supplementary Tables 1-4 from Metastasis-Associated Protein 1 and Its Short Form Variant Stimulates &lt;i&gt;Wnt1&lt;/i&gt; Transcription through Promoting Its Derepression from &lt;i&gt;Six3&lt;/i&gt; Corepressor</jats:p