An experimental study of fluoride (F) accumulation in Abelmoschus esculentus var. Soh-198 and its effect on the growth and crop yield was conducted in a pot experiment. Eight different concentrations of F in the water were used for irrigation ranging from 2 to 14 ppm with distilled water as the control. Potentiometric determinations of the F content in different parts of the plant were made 45, 60, and 120 days after sowing the seeds (first, second, and third harvest, respectively). At the third harvest the highest mean plant part concentrations of F were recorded with 14 ppm F in the irrigation water: 9.0638 mg/kg in the roots, 5.6896 mg/kg in shoot, 4.5348 mg/kg in leaf and 3.563 mg/kg in fruit.
One of the primary constraints in upland rice cultivation is the disease blast (Magnaporthe oryzae), which can provide reduction up to 100% of the grain yield The use of silicon with beneficial microorganisms (bioagents) can be an alternative for the control of this disease and to provide an increase in the productivity of the rice grain. The objective of this work was to study the effect of rates of silicon with bioagents in blast suppression and grain yield of upland rice. The methodology used was tests carried out in field conditions, in two different areas: Capivara and Palmital farms, during the growing season 2015/2016. The experimental design was in a split-plot scheme with four replications. In the main plots were the silicon fertilization rates (0, 2, 4 and 8 ton ha-1) and in the subplots was the bioagents (1-without bioagents, 2-Pseudomonas fluorescens, 3-Burkholderia pyrrocinia, 4-Trichoderma asperellum, 5-a mixture of the three bioagents). The results showed that the use of 2 ton ha-1 of silicon with a mixture of bioagents was the best treatment to control leaf blast. Besides, from rates, 2 to 6 ton ha-1 of silicon in Capivara Farm and up to 8 ton ha-1 of silicon in Palmital Farm provided the highest grain yield. A mixture of bioagents provided the highest grain yield. In this sense, it was concluded that the best recommendation to connect blast control, grain yield and reduced amount of silicon was the use of 2 ton ha-1 of silicon with the mixture of bioagents.
The outbreak of COVID-19 has created an unprecedented situation that has accelerated online education in areas like nephrology, which are traditionally served by onsite training. Efforts to educate clinicians remotely provide convenience and flexibility but may leave many open questions when it comes to how well-trained professionals maybe after completing their programs online. This review paper has emphasized the deleterious effects of online nephrology education and identified a number of ways in which it can be problematic such as lack of hands-on training, less patient interface, lack of proper supervision, and inconsistent quality of programs. The ability to make a difference, however, is further restricted by technological barriers and resource constraints. Whilst these programs tend to focus on creating knowledgeable graduates, they often fail to provide the clinical exposure necessary for preparedness. Hybrid programs - which combine online courses with clinical training in person are required to deliver high-quality nephrology care.
This document has been translated from Spanish into English using ChatGPT. While efforts have been made to ensure accuracy and maintain the original meaning, some nuances or interpretations may differ from the source text. For any clarification, please refer to the original document or contact the author.This brief article addresses the concern arising from the accelerated whirlwind of changes of all kinds experienced by our social systems, some of which have a significant evolutionary impact, largely driven by advances in science and technology. Particular interest has emerged in connecting certain properties inherent to the behavior of complex systems far from equilibrium—such as social systems—under the framework of properties currently studied in Complexity Sciences. The article outlines this concern, which is, for now, merely the beginning of what could develop into a groundbreaking investigation. It references laboratory simulation work aimed at understanding the evolutionary horizons of Chile’s social system. The text includes an example of some graphs that illustrate a potential method for detecting and anticipating possible evolutionary horizons of the social system, based on the role played by certain “attractor variables” within the system. However, the research is still exploratory, and this article serves merely as a general description of the initial concern.
Benkova M, Petrov P, Aleksandar Petrov*, Staykova S, Zlatanova E, Chervenkov T and Nikolova S
Published on: 24th January, 2025
Chronic Kidney Disease (CKD) is a significant public health issue with a rising prevalence globally. Diabetic kidney disease (DKD), a leading cause of CKD, necessitates improved biomarkers for early detection and effective management. Traditional markers such as serum creatinine, estimated glomerular filtration rate (eGFR), and albuminuria have notable limitations in sensitivity and specificity, especially for early detection. Fetuin-A, specifically its post-translationally modified form (PTM-Fetuin-A), has emerged as a potential novel biomarker for DKD. This study evaluates PTM-Fetuin-A in a cohort of Bulgarian patients with type 1 and type 2 diabetes, assessing its correlation with traditional markers such as albuminuria and eGFR. Significant correlations were observed between PTM-Fetuin-A and these indicators (e.g., Pearson’s r = 0.447, p = 0.025 for albuminuria), highlighting its ability to detect early kidney function decline. Furthermore, PTM-Fetuin-A demonstrated potential as a non-invasive tool for identifying normoalbuminuric DKD, addressing gaps left by conventional biomarkers. By offering additional prognostic value, PTM-Fetuin-A could improve the early diagnosis and clinical management of diabetic patients, reducing the burden of CKD.
This review underscores the transformative impact of Computer-Aided Engineering (CAE) on modern engineering, emphasizing its role in advancing sustainable and efficient technological solutions. The CAE industry is further analyzed, focusing on market trends and future directions. The CAE market is projected to grow significantly in the next five years in industries like automotive, aerospace, and energy, especially with the rapid advancements in High-Performance Computing (HPC), Artificial Intelligence (AI), Internet of Things (IoT), and Digital Twin technologies that enhance real-time optimization and predictive capabilities, thus fostering innovation in sustainable product design and performance. Lastly, this review presents KYAMOS Software and its state-of-the-art CAE solutions for tackling high-demand engineering problems, mainly concerning green technologies.
Sabree Abredabo*, Harrah Chiang, Leonard Klein, Tulio Rodriguez and Jacob D Bitran
Published on: 2nd July, 2024
We reviewed our outcomes of patients with relapsed/refractory Hodgkin Lymphoma treated with autologous stem cell transplant over a 30-year period, 1992 to 2022 and are reporting 15-year Disease-Free Survival (DFS) and Overall Survival (OS) of the 36 patients treated (19 men, 17 women, median age 41). Over the years there were different preparative regimens employed (carmustine, etoposide, melphalan and BCNU, etoposide, cytarabine, and melphalan) as well as post-transplant consolidation therapy (brentuximab). With a median follow-up of 15 years, the DFS is 52% and OS is 64%. Long-term complications include cardiomyopathy and second malignancies.The use of better salvage regimens and post-transplant consolidation therapy should lead to better outcomes.
Public-Private Partnership (PPP) road projects are being promoted worldwide to encourage road investments; however, research on the appropriate rate of return for these projects is insufficient. This is likely because the return on investment for PPP road projects is determined through negotiations between the government and the private sector, a process that remains confidential. The rate of return for PPP road projects is not only a key indicator for evaluating project performance but also a potential driver for future government financial subsidies. Therefore, research on the appropriate rate of return for PPP road projects is necessary for the sustainability of these projects.This study, based on the concept that both the government and the private sector share the anticipated risks of the project, quantifies six types of risks and proposes a model for predicting the appropriate rate of return. The model is able to explain approximately 68% of the cases in South Korea’s PPP road projects. The risk with the greatest influence on the rate of return was found to be an economic risk, while the least influential was regulation change risk.Due to the confidentiality of data related to PPP road projects, this study only utilized 54 cases from South Korea. It is hoped that a wider range of data will be collected and further research on the appropriate rate of return will continue to enhance the sustainability of PPP road projects.
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