Effects of different application ratios of biochar-organic compound fertilizers and chemical fertilizers on soil nutrition content and yield of maize

Overuse of traditional chemical fertilizers may result in environmental pollution and a decrease in the quality of farm produce. By contrast, applying biochar-organic compound fertilizers can enhance soil structure, increase soil fertility, and mitigate pollution levels. This study explores the intricate mechanisms of the combined application of biochar-organic compound fertilizers and chemical fertilizers on soil chemical properties and corn growth. The aim is to elucidate the theoretical foundations supporting the widespread adoption of biochar-organic compound fertilizers. A total of 6 treatments were set up, among which the CK treatment did not apply fertilizer, the CF treatment used bovine excrement organic fertilizer combined with chemical fertilizer, the T1 to T4 treatments used biochar-organic compound fertilizers and replaced 40%, 60%, 80%, and 100% bovine excrement organic fertilizer combined with chemical fertilizer. The results showed that applying biochar-organic compound fertilizers enhanced the slow-release properties of soil available nutrients, increased corn yield, and improved grain quality. Notably, when biochar-organic compound fertilizers were employed instead of 100% bovine excrement organic fertilizer, the yield surpassed that of other treatments, exhibiting a remarkable 9.30% increase compared to the CF treatment. Through comprehensive analysis, it was determined that using biochar-organic compound fertilizer to replace 60% of bovine excrement organic fertilizer is a scheme that can balance both fertilizer efficacy and cost and is recommended to farmers. This research can contribute to promoting the green transformation of agriculture and help achieve the goal of "carbon neutrality"

Frontier and hot topics in home enteral nutrition based on CiteSpace bibliometric analysis

BackgroundThe benefits of home enteral nutrition (HEN) are increasingly recognized, with more scholars focusing on this field. This study aimed to comprehensively identify collaborative networks, analyze, and track research trends, focus on current hotspots, and accurately predict the forefront and focus of home enteral nutrition.MethodsA computer search of the Web of Science Core Collection (WoSCC) was conducted for studies related to home enteral nutrition published from January 1, 2004, to December 31, 2023, and select them in compliance with the PRISMA guidelines. The CiteSpace software was used for bibliometric visualization and comparative analysis of countries, institutions, journals, references, and keywords.ResultsA total of 1,113 documents were included, showing a steady annual increase in publication volume. The United States and the Mayo Clinic were the top publishing country and institution, with 302 and 41 papers, respectively. “CLIN NUTR” had the highest number of publications, totaling 221, while “ESPEN guideline on home enteral nutrition” was the most cited reference, with 43 citations. The most prolific author was Manpreet S with 29 papers.ConclusionThe management of HEN is a current research hotspot. The safety of HEN and how to improve patient compliance are critical areas for researchers to consider. Future research could focus on these aspects. The blurring of boundaries between hospital and home care and how to utilize telemedicine technologies to serve more patients deserve in-depth exploration. Researchers worldwide should combine their unique characteristics and advantages to strengthen international cooperation

Engineering application and demonstration of intelligent mining control technology for rockburst coal seam

How to achieve intelligent, safe and efficient mining of rockburst coal seams is a major engineering and technical challenge facing deep coal mining. The core connotation of this issue lies in the intelligent, unmanned, and inherently safe mining of coal seams with rockburst. Through accurate perception and intelligent early warning of coal and rock burst risks, as well as self-adaptation and self-optimization of mining engineering, intelligent anti-burst and mining control technologies are formed to achieve a fundamental shift from engineering-induced disasters to engineering-prevented and mitigated disasters. By implementing measures such as mining source design, roof area fracturing, localized targeted management, and strengthening roadway support, a low-stress environment and safe roadway space are created for the safe and efficient mining of coal seams with rock burst. On this basis, a big data analysis software platform that integrates static geological, dynamic monitoring, working conditions, personnel positioning, production organization, historical data and other information, as well as an intelligent mining control system that integrates impact pressure decision-making information, has been developed. The anti-impact information source has been transformed into an intelligent mining control source, forming a new flexible intelligent mining model of "low pressure fast pushing, medium pressure slow mining, and high pressure production stop". Field application shows that in the intelligent anti-impact and control mining area, the degree of mine pressure in working face and roadway is smaller,, and the energy release of coal and rock is more stable, which is conducive to the reasonable release of impact mine production capacity

Comparative analysis of the organelle genomes of seven Rosa species (Rosaceae): insights into structural variation and phylogenetic position

IntroductionThe genus Rosa belongs to the family Rosaceae within the order Rosales, which is one of the more ancient plant lineages. At present, the complete mitochondrial genome of Rosa spp. is still rarely reported, and studies on the mitochondrial genome of Rosa spp. are limited.MethodsIn this study, the R. laevigata mitochondrial genome was sequenced using both Pacbio Sequel II and DNB-SEQ-T7 platforms. The second- and third-generation data for the other five Rosa species were downloaded from the NCBI database. Genome annotation was performed using Geneious, with structural visualization via CPGview. In-depth analyses were conducted, including assessments of non-synonymous/synonymous mutation ratios (Ka/Ks), codon usage bias, collinearity, and the identification of homologous fragments between chloroplast and mitochondrial genomes. Finally, we employed the maximum likelihood (ML) methods to analyze the phylogenetic relationships among R. laevigata and other Rosa species.ResultsThe chloroplast genome sizes ranged from 156,342 bp (R. laevigata) to 157,214 bp (R. agrestis). The GC content varied from 37.2% to 37.3%, and the number of genes ranged from 129 to 131. The mitochondrial genomes were all circular, with lengths between 271,191 bp and 338,975 bp, containing 52 to 59 genes. Codon usage analysis indicated a preference for A/T-ending codons in both chloroplast and mitochondrial genes. Four highly differentiated regions (rps19, ndhF, ycf1, and psbM-trnD-GUC) in the plastomes of the 7 Rosa species were identified, which can serve as molecular markers for future species identification and studies of genetic diversity. Compared to PCGs of plastome, mitochondrial PCGs displayed a higher non-synonymous to synonymous ratio. We also observed extensive gene transfer between the mitochondria and chloroplasts, particularly with the rrn16 and rpl23 genes, which are commonly found in Rosa species. These gene transfer events likely occurred in the ancestor of Rosa around 4.46 Mya. Estimates of divergence events indicate that rapid differentiation among Rosa species took place around 4.46 Mya, potentially influenced by the uplift of the Qinghai-Tibet Plateau during the Late Miocene.DiscussionThis study enriches the genetic resources of the Rosa genus and lays the groundwork for the development of molecular markers, phylogenetic analyses, and research into the evolution of organelle genomes

Chronopotentiometric aptasensing with signal amplification based on enzyme-catalyzed surface polymerization

A signal amplification strategy based on the horseradish peroxidase catalyzed polymerization of dopamine on a polymeric ion-selective membrane surface is proposed for the sensitive chronopotentiometric detection of an aptamer-target binding event

Chronopotentiometric aptasensing with signal amplification based on enzyme-catalyzed surface polymerization

A signal amplification strategy based on the horseradish peroxidase catalyzed polymerization of dopamine on a polymeric ion-selective membrane surface is proposed for the sensitive chronopotentiometric detection of an aptamer–target binding event.</p