This study aimed to determine the effectivity of various types of local hydromacrophytes on the remediation of wastewater from catfish culture ponds in Gondosuli village, Gondang, Tulungagung, East Java, Indonesia, using a batch culture system. This experiment used a completely random design and was conducted in the glasshouse. The batch culture system was conducted in a 30 L tank containing sand and gravel as the medium for hydromacrophytes. This research consisted of five treatments (emer-gent, submerged, floating leaf, polyculture of 3 types of hydromacrophytes, and control without hydro macrophytes). This study was repeated three times at the same time. The effectiveness of the phytoremediation model was monitored using indicators of water physicochemical parameters and the biotic index of phytoplankton.The biotic indices were used the Shannon-Wiener diversity index (H') of phytoplankton and the diatom biotic index (Trophic Diatom Index (TDI) and Percentage of Pollution Toler-ant Value (%PTV)). After giving the treatment, monitoring was carried out on days 0, 10, 20, 30, and 40. The results showed that the batch culture system for phytoremedi-ation post-harvest catfish pond wastewater with local hydromacrophytes improved the water quality. However, not all water physicochemical parameters after treatments meet Indonesian water quality standards. Abundance showed water quality fluctua-tions over time, while Shannon Wiener's diversity index (H' value) decreased as water quality decreased. This study's PTV value demonstrated that pollutant levels vary by treatment. Only the control and submerged hydromacrophytes improved their TDI status; another treatment remained moderate. The best treatment was 40 days after acclimatization with polyculture treatment of three types of local hydromacrophytes. Research and othersystems like continuous culture are needed for optimal results to improve water quality. Keywords:Batch culture, Catfish pond, Hydromacrophyte, Remediation, Wastewater, Water qualit
This study aims to evaluate the quality of riparian habitats based on the index of riparian quality (QBR), quality of riparian tree vegetation (community structure and Naturalness index), and anthropogenic activity (Hemeroby Index) and their relationship to water quality in some waterfall and spring ecosystems on Bawean Island. This Ex Post Facto study was conducted on six waterfall ecosystems (Candi, Putri, Suwari, Talomon, Laccar and Kuduk Kuduk) and two spring water ecosystems (Kuduk Kuduk and Laccar). Analysis of riparian tree vegetation at each location was observed from three plots with size 50 x 50 m2. The physics chemical quality of water observed at each location included pH, dissolved oxygen/DO, total suspended solid/TSS, total Kjeldahl nitrogen/TKN, and biochemical oxygen demand/BOD. The results showed that the quality of the riparian habitat affected the water quality.
BACKGROUND: The COVID-19 vaccination program, which uses various types of vaccines, has been applied since the beginning of 2021. However, the efficacy in the context of seroconversion rate remains unclear. OBJECTIVE: To assess the seroconversion rates among different COVID-19 vaccines using a network meta-analysis approach. METHODS: A network meta-analysis of randomized controlled trials (RCTs) was conducted during the study period. Data of interest, such as seroconversion rate and the type of COVID-19 vaccine, were extracted from each study. The analysis was performed using single-arm analysis by calculating the cumulative seroconversion rate. A network meta-analysis was conducted using the Bayesian method. RESULTS: A total of 31 RCTs were included in our analysis. Our pooled calculation revealed that the seroconversion rates of inactivated messenger ribonucleic acid (mRNA), protein subunit, and vector COVID-19 vaccines during the follow-up periods were 93.2%, 93.9%, 65.3%, and 54.7%, respectively, at ≤ 15 days; 96.0%, 94.8%, 91.2%, and 89.7%, respectively, between days 16–30; and 98.5%, 98.6%, 98.5%, and 96.2%, respectively, between days 31–60.The indirect comparison revealed that in the follow-up periods of ≤ 15 and 16–30 days, the inactivated and mRNA COVID-19 vaccines had superior seroconversion rates compared with those of the protein subunit and vector vaccines. In the follow-up period of 31–60 days, the highest seroconversion rates were found in the inactivated, mRNA, and protein subunit COVID-19 vaccines. CONCLUSION: This study provides valuable information regarding the comparison of seroconversion rates of COVID-19 vaccines.
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