Characterization of an antimicrobial peptide family from the venom gland of Heteropoda venatoria.

Spider venom boasts extensive peptide diversity, constituting a natural biochemical arsenal for defense and predation. The new family HvAMPs, including 9 homologous members, were identified from the unnormalized cDNA library of Heteropoda venatoria venom gland by Sanger sequencing. The putative mature peptide is composed of 22 aliphatic amino acid residues. The mature peptides of HvAMP1 and HvAMP5, with 3 different amino acids, were synthesized and both were shown to adopt an amphipathic α-helical structure and amphipathicity in SDS buffer by CD spectroscopy. In comparison to HvAMP1, HvAMP5 exhibits higher antibacterial activity, particularly against Gram-positive bacteria, coupled with reduced hemolytic activity and cytotoxicity. Results from SYTO 9/PI staining indicate that HvAMP5 acts by disrupting bacterial cell membranes. Analysis of the relationships between structures and functions suggests that HvAMP5 enhances antibacterial activity and reduces mammalian cell toxicity by increasing positive charge and proline substitution. The three residues variation can augment the electrostatic attraction of antibacterial peptides to the bacterial phospholipid bilayer. The present study suggests that the HvAMPs may exert lytic action against cells of different origins to increase cellular and tissue barrier permeability to facilitate spider's defense or predation. Moreover, HvAMP5 holds promise as a novel antibacterial agent for treating Gram-positive bacterial infections. Simultaneously, the numerous diverse amino acid residue substitutions within the HvAMP family offer a template for future study.

Wheat straw biochar as an additive in swine manure Composting: An in-depth analysis of mixed material particle characteristics and interface interactions.

In recent research, biochar has been proven to reduce the greenhouse gases and promote organic matter during the composting. However, gas degradation may be related to the microstructure of compost. To investigate the mechanism of biochar additive, composting was performed using swine manure, wheat straw and biochar and representative solid compost samples were analyzed to characterize the mixed biochar and compost particles. We focused on the microscale, such as the particle size distributions, surface morphologies, aerobic layer thicknesses and the functional groups. The biochar and compost particle agglomerations gradually became weaker and the predominant particle size in the experiment group was < 200 µm. The aerobic layer thickness (Lp) was determined by infrared spectroscopy using the wavenumbers 2856 and 1568 cm-1, which was 0-50 µm increased as composting proceeded in both groups. The biochar increased Lp and facilitated oxygen penetrating the compost particle cores. Besides, in the biochar-swine manure particle interface, the aliphatic compound in the organic components degraded and the content of aromaticity increased with the composting process, which was indicated by the absorption intensity at 2856 cm-1 decreasing trend and the absorption intensity at 1568 cm-1 increasing trend. In summary, biochar performed well in the microscale of compost pile.

Achieving rapid endogenous partial denitrification by regulating competition and cooperation between glycogen accumulating organisms and phosphorus accumulating organisms from conventional activated sludge.

In anaerobic/aerobic/anoxic (A/O/A) process, endogenous denitrification (ED) is critically important, and achieving steady endogenous partial denitrification (EdPD) is crucial to carbon saving and anammox application. In this study, EdPD was rapidly realized from conventional activated sludge by expelling phosphorus accumulating organisms (PAOs) in anaerobic/anoxic (A/A) mode during 40 days, with nitrite transformation rate (NTR) surging to 82.8 % from 29.4 %. Competibacter was the prime EdPD-fulfilling bacterium, soaring to 28.9 % from 0.5 % in phase II. Afterwards, balance of high NTR and phosphorus removal efficiency (PRE) were attained by well regulating competition and cooperation between PAOs and glycogen accumulating organisms (GAOs) in A/O/A mode, when the Competibacter (21.7 %) and Accumulibacter (7.3 %, mainly Acc_IIC and Acc_IIF) were in dominant position with balance. The PRE recovered to 88.6 % and NTR remained 67.7 %. Great balance of GAOs and PAOs contributed to advanced nitrogen removal by anammox.

Hydraulic retention time optimization achieved unexpectedly high nitrogen removal rate in pilot-scale anaerobic/aerobic/anoxic system for low-strength municipal wastewater treatment.

Applications of post-denitrification processes are subjected to low reaction rates caused by a lack of carbon resources. To offer a solution for reaction rate promotion, this research found a pilot-scale anaerobic/aerobic/anoxic bioreactor treating 55-120 m3/d low-strength municipal wastewater for 273 days. A short hydraulic retention time (HRT, 5-6 h) and a high nitrogen removal rate (63.2 ± 9.3 g-N/m3·d) were achieved using HRT optimization. The effluent total nitrogen concentration was maintained at 5.8 ± 1.4 mg/L while operating at a high nitrogen loading rate of 86.2 ± 12.8 g-N/m3·d. The short aeration (1.25-1.5 h) minimized the Glycogen loss. The endogenous denitrification rate increased to above 1.0 mg/(g-VSS·h). The functional genus Ca. Competibacter enriched to 2.3 %, guaranteeing the efficient post-denitrification process. Dechloromonas rose to 1.1 %, aiding in the synchronous phosphorus removal. These findings offered fresh insights into AOA processes to achieve energy/cost-saving wastewater treatment.

EGRC-Net: Embedding-Induced Graph Refinement Clustering Network.

Existing graph clustering networks heavily rely on a predefined yet fixed graph, which can lead to failures when the initial graph fails to accurately capture the data topology structure of the embedding space. In order to address this issue, we propose a novel clustering network called Embedding-Induced Graph Refinement Clustering Network (EGRC-Net), which effectively utilizes the learned embedding to adaptively refine the initial graph and enhance the clustering performance. To begin, we leverage both semantic and topological information by employing a vanilla auto-encoder and a graph convolution network, respectively, to learn a latent feature representation. Subsequently, we utilize the local geometric structure within the feature embedding space to construct an adjacency matrix for the graph. This adjacency matrix is dynamically fused with the initial one using our proposed fusion architecture. To train the network in an unsupervised manner, we minimize the Jeffreys divergence between multiple derived distributions. Additionally, we introduce an improved approximate personalized propagation of neural predictions to replace the standard graph convolution network, enabling EGRC-Net to scale effectively. Through extensive experiments conducted on nine widely-used benchmark datasets, we demonstrate that our proposed methods consistently outperform several state-of-the-art approaches. Notably, EGRC-Net achieves an improvement of more than 11.99% in Adjusted Rand Index (ARI) over the best baseline on the DBLP dataset. Furthermore, our scalable approach exhibits a 10.73% gain in ARI while reducing memory usage by 33.73% and decreasing running time by 19.71%. The code for EGRC-Net will be made publicly available at https://github.com/ZhihaoPENG-CityU/EGRC-Net.

Fluorine-tailed glass fibers for adsorption of volatile perfluorinated compounds via F-F interaction.

Perfluorinated compounds (PFCs) and their short-chain derivatives are contaminants found globally. Adsorption research on volatile perfluorinated compounds (VPFCs), which are the main PFCs substances that undergo transfer and migration, is particularly important. In this study, new fluorine-containing tail materials (FCTMs) were prepared by combining fluorine-containing tail organic compounds with modified glass fibers. The adsorption effects of these FCTMs were generally stronger than that of pure activated glass fibers without fluorine- tailed, with an adsorption efficiency of up to 86% based on F-F interactions. The results showed that the FCTMs had improved desorption efficiency and reusability, and higher adsorption efficiency compared with that of polyurethane foam. FTGF was applied to the active sampler, and the indoor adsorption of perfluorovaleric acid was up to 2.45 ng/m3. The adsorption kinetics and isotherm simulation results showed that the adsorption process of typical perfluorinated compounds conformed to the second-order kinetics and Langmuir model. Furthermore, Nuclear Magnetic Resonance (NMR) results showed that the chemical shift in the fluorine spectrum was significantly changed by F-F interactions. This research provides basic theoretical data for the study of VPFCs, especially short-chain VPFCs, facilitating improved scientific support for the gas phase analysis of VPFCs in the environment.

Giant duplication of the transverse colon in an adult: A case report and literature review.

Intestinal duplication is a rare congenital malformation that can occur in any segment of the digestive tract. It is most commonly found in the ileum of infants and is rarely reported in adults, especially in the colon. Diagnosing intestinal duplication can be extremely challenging due to its diverse clinical manifestations and complex anatomical structure. Surgical intervention is currently considered the mainstay of treatment. In this report, we presented a case of giant duplication of the transverse colon in an adult.

Exploring and comparing the impacts of low temperature to endogenous and exogenous partial denitrification: The nitrite supply, transcription mechanism, and microbial dynamics.

Nitrite supply was pretty significant to exogenous or endogenous partial denitrification (ExPD or EdPD) for their combination with anammox in removing nitrogen. This study investigated how temperature impacted the nitrite supply of ExPD and EdPD, through long-term experiments in two 10 L sequencing batch reactors (SBRs) and 12 batch temperature tests, with sodium acetate as organic. It was demonstrated that low temperature (5-15 °C) favored higher nitrite transformation rate (NTR) for two systems (1.1-1.3 and 1.1-1.2 times higher separately), and ExPD owned higher nitrite-supply ability than EdPD (32.8 % higher NTR). Moreover, quantitative reverse transcription PCR and 16srDNA sequencing were conducted, exploring the inherent mechanism and microbial dynamics. Results presented that more inhibition to transcription and translation of nirSK genes than narG in low temperature induced higher NTR. Besides, compared with ExPD, less microbial dynamics and granule size reduction occurred to EdPD, which was more capable of adapting to low temperature.

Adaptive Attribute and Structure Subspace Clustering Network.

Deep self-expressiveness-based subspace clustering methods have demonstrated effectiveness. However, existing works only consider the attribute information to conduct the self-expressiveness, limiting the clustering performance. In this paper, we propose a novel adaptive attribute and structure subspace clustering network (AASSC-Net) to simultaneously consider the attribute and structure information in an adaptive graph fusion manner. Specifically, we first exploit an auto-encoder to represent input data samples with latent features for the construction of an attribute matrix. We also construct a mixed signed and symmetric structure matrix to capture the local geometric structure underlying data samples. Then, we perform self-expressiveness on the constructed attribute and structure matrices to learn their affinity graphs separately. Finally, we design a novel attention-based fusion module to adaptively leverage these two affinity graphs to construct a more discriminative affinity graph. Extensive experimental results on commonly used benchmark datasets demonstrate that our AASSC-Net significantly outperforms state-of-the-art methods. In addition, we conduct comprehensive ablation studies to discuss the effectiveness of the designed modules. The code is publicly available at https://github.com/ZhihaoPENG-CityU/AASSC-Net.

Molecular diversity and evolutionary trends of cysteine-rich peptides from the venom glands of Chinese spider Heteropoda venatoria.

Heteropoda venatoria in the family Sparassidae is highly valued in pantropical countries because the species feed on domestic insect pests. Unlike most other species of Araneomorphae, H. venatoria uses the great speed and strong chelicerae (mouthparts) with toxin glands to capture the insects instead of its web. Therefore, H. venatoria provides unique opportunities for venom evolution research. The venom of H. venatoria was explored by matrix-assisted laser desorption/ionization tandem time-of-flight and analyzing expressed sequence tags. The 154 sequences coding cysteine-rich peptides (CRPs) revealed 24 families based on the phylogenetic analyses of precursors and cysteine frameworks in the putative mature regions. Intriguingly, four kinds of motifs are first described in spider venom. Furthermore, combining the diverse CRPs of H. venatoria with previous spider venom peptidomics data, the structures of precursors and the patterns of cysteine frameworks were analyzed. This work revealed the dynamic evolutionary trends of venom CRPs in H. venatoria: the precursor has evolved an extended mature peptide with more cysteines, and a diminished or even vanished propeptides between the signal and mature peptides; and the CRPs evolved by multiple duplications of an ancestral ICK gene as well as recruitments of non-toxin genes.

[Two-stage revision for treatment of periprosthetic infection following hip arthroplasty].

OBJECTIVE: To evaluate the efficacy and optimal re-implantation time of two-stage revision for management of periprosthetic infection following hip arthroplasty. METHODS: We retrospectively analyzed the clinical data of 15 patients (15 hip joints) undergoing two-stage ipsilateral total hip arthroplasty (THA) revision from January, 2006 to January, 2010. In the first stage, after surgical debridement and thorough removal of all the implants, a self-made Vancomycin-loaded cement spacer was implanted. The second stage operation was performed 3-6 months later for debridement and removal of the antibiotic-loaded spacer, followed by re-implantation of Vancomycin-loaded bone cement prosthesis in 9 cases and cementless prosthesis in 6 cases. The patients were followed up for 9-46 months (mean 25 months) after the operation. RESULTS: No reinfection or prosthesis loosening/displacement was found in these cases after the operation. The Harris score increased from 40.3 before the operation to 54.0 after the first-stage operation, and to 88.2 at the last follow-up. CONCLUSION: Two-stage revision is effective for treatment of periprosthetic infection following hip arthroplasty, and 3-6 months can be the optimal interval between the two the first-stage and second-stage operation for re-implantation.