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Uneven of filling aggregate gradation may cause transportation problems such as pipe blockage due to segregation and stratification of filling slurry. To study the influence of aggregate gradation on the conveying performance of filler slurry, aggregate gradation experiments were carried out, rheological tests on slurries with coal gangue/aeolian sand ratios (6:4, 5:5 and 4:6) showed that appropriately increasing the proportion of aeolian sand can improve particle gradation. Computational fluid dynamics (CFD) scheme was used to simulate the pipeline transportation characteristics of the slurry under the conditions of three sets each of coal gangue/aeolian sand ratios, slurry concentrations (72%,74% and 76%), and inlet velocities (1.15,1.24 and 1.33 m/s). The results show that the pipeline resistance loss is directly proportional to the slurry concentration and inlet velocity, and inversely proportional to the coal gangue/aeolian sand, which indicates that the proportion of aeolian sand should be reduced in filling project to reduce the pipeline transportation resistance.

The quantification of the lowest unoccupied molecular orbital level (LUMO) for molecular semiconductors is of great importance, because it determines the charge transport process and hence the performances of diverse electronic devices. Unfortunately, there is always lack of a convenient technique to determine the intrinsic LUMO. This work provides a reliable electrical spectroscopy by employing an easy-operating hot electron transistor, to make an accurate measurement. By taking advantage of a novel method, named the first derivative-assisted linear fitting method, the determination of the intrinsic LUMO becomes more scientific. Here, four kinds of molecular semiconductors are selected as the research objects and the values can be precisely decided even with a quite small difference in LUMO, which demonstrate the universality and the accuracy of our method. As expected, all the measured values are highly repeatable and it further confirms that we have provided a practical technique for the LUMO detection.

A precise quantification of energy gap for a molecular semiconductor is crucial. However, there has always been a lack of a suitable method which results in an inaccurate measurement. In this research, a three-terminal vertical structure (Al/AlO X /Au/ molecular semiconductor/Al), named hot electron transistor has been designed to be the most powerful method for energy gap determination. By analysing the I C-hot –V EB curves, the electron injected barrier and hole injected barrier can be extracted. In combination of the both, the energy gap of four objects, including PBDB-T-2Cl, C 60 , PTCDA, and Alq3, has been determined finally.

Background Wild birds may harbor and transmit viruses that are potentially pathogenic to humans, domestic animals, and other wildlife. Results Using the viral metagenomic approach, we investigated the virome of cloacal swab specimens collected from 3182 birds (the majority of them wild species) consisting of > 87 different species in 10 different orders within the Aves classes. The virus diversity in wild birds was higher than that in breeding birds. We acquired 707 viral genomes from 18 defined families and 4 unclassified virus groups, with 265 virus genomes sharing < 60% protein sequence identities with their best matches in GenBank comprising new virus families, genera, or species. RNA viruses containing the conserved RdRp domain with no phylogenetic affinity to currently defined virus families existed in different bird species. Genomes of the astrovirus, picornavirus, coronavirus, calicivirus, parvovirus, circovirus, retrovirus, and adenovirus families which include known avian pathogens were fully characterized. Putative cross-species transmissions were observed with viruses in wild birds showing > 95% amino acid sequence identity to previously reported viruses in domestic poultry. Genomic recombination was observed for some genomes showing discordant phylogenies based on structural and non-structural regions. Mapping the next-generation sequencing (NGS) data respectively against the 707 genomes revealed that these viruses showed distribution pattern differences among birds with different habitats (breeding or wild), orders, and sampling sites but no significant differences between birds with different behavioral features (migratory and resident). Conclusions The existence of a highly diverse virome highlights the challenges in elucidating the evolution, etiology, and ecology of viruses in wild birds. CqY729S1tGhRET_dUpiFdm Video Abstract

The central nervous system (CNS) is highly susceptible to infections that can lead to severe neurological morbidity and mortality. Despite advances in diagnostic technologies, a significant proportion of encephalitis and meningitis cases remain etiologically undiagnosed, underscoring the need for novel pathogen discovery approaches. Here, we report the identification of a novel unclassified RNA virus, provisionally named hucaurvirus (“human CSF-associated unclassified RNA virus”), in the cerebrospinal fluid (CSF) of a pediatric patient with unexplained meningoencephalitis, using metagenomic next-generation sequencing (mNGS). The hucaurvirus exhibits a monopartite, positive-sense RNA genome of 6.5 kb which contains two overlapping open reading frames (ORFs), which was confirmed by conventional PCR amplification and Sanger sequencing. The large ORF encodes a polyprotein containing a capsid domain, while the small ORF overlaps within the large ORF and encodes the RNA-dependent RNA polymerase (RdRp) protein. BLASTp search based on the amino acid sequence of RdRp showed that hucaurvirus had the highest sequence identity and query coverage of 39.2% and 90%, respectively, to a noda-like virus (GenBank no. MT138110). Phylogenetic analysis showed that hucaurvirus was closely related to four viruses annotated as noda-like viruses, forming a cluster that is adjacent to the cluster of the Carmotetraviridae family and appears to form a new viral family within the order Tolivirales . PCR screening confirmed the presence of hucaurvirus in one of ten CSF samples, validating its detection. Our findings emphasize the utility of mNGS in uncovering novel pathogens and expanding our understanding of viral diversity in CNS infections.

Objectives The gut virome of humans is mainly composed of bacteriophages and their role in shaping the gut microbiome and influencing human health is increasingly recognized. However, little is known about the dynamic changes of the gut virome in children and its role in growth and development. In this study, we collected fecal samples from newborns and children under 5 years old from the same area during the same time period to investigate the gut viral community using viral metagenomic technique. Methods We used viral metagenomics to compare the gut bacteriophage composition between newborns and children under 5 years of age. We collected fecal samples from 45 newborns who were born at the Affiliated Hospital of Jiangsu University and 45 healthy children who were examined at the same hospital. The two groups were classified as the newborn group and the children group. Results Our sequencing analysis showed that the number of seqeunce reads of the children group were more than that of the newborn group. The results of alpha diversity and beta diversity both indicated that the diversity of the children group was significantly higher than that of the newborn group and the children group is different from the newborn group. The abundance of gut virome in the children group was also higher than that in the newborn group. The analysis of the genetic characteristics of the viruses showed that the phage genome was scattered and clustered with specificity. Conclusion Our findings indicate that the gut bacteriophage communities undergo changes over time, presenting diversity and dynamic characteristics. We characterized the composition of gut virome in children and newborns in this region. However, further research is needed to investigate the function of bacteriophages in the ecology of the gastrointestinal tract.

Members of the family Inoviridae (inoviruses) are characterized by their unique filamentous morphology and infection cycle. The viral genome of inovirus is able to integrate into the host genome and continuously releases virions without lysing the host, establishing chronic infection. A large number of inoviruses have been obtained from microbial genomes and metagenomes recently, but putative novel inoviruses remaining to be identified. Here, using viral metagenomics, we identified four novel inoviruses from cloacal swab samples of wild and breeding birds. The circular genome of those four inoviruses are 6732 to 7709 nt in length with 51.4% to 56.5% GC content and encodes 9 to 13 open reading frames, respectively. The zonula occludens toxin gene implicated in the virulence of pathogenic host bacteria were identified in all four inoviruses and shared the highest amino acid sequences identity (< 37.3%) to other reference strains belonging to different genera of the family Inoviridae and among themselves. Phylogenetic analysis indicated that all the four inoviruses were genetically far away from other strains belonging to the family Inoviridae and formed an independent clade. According to the genetic distance-based criteria, all the four inoviruses identified in the present study respectively belong to four novel putative genera in the family Inoviridae .

Background As one of the birthplaces of modern biodiversity, the Qinghai-Tibet Plateau is home to a rich variety of unique animal groups. Herbivorous wildlife constitutes a vital component of the plateau's ecosystems, yet current research on parvoviruses in these species remains limited. With the development of viral metagenomics and next-generation sequencing technology, more and more novel viruses have been detected. Results In this study, we collected 741 fecal samples from herbivorous wildlife across three distinct habitats on the Qinghai-Tibet Plateau and employed metagenomics analysis technology to characterize the parvovirus dark matter. We identified 32 parvoviruses by analysis, of which 13 were closely related to the members of Bocapavovirus , Dependoparvovirus and Protoparvovirus in the subfamily of Parvovirinae , 5 belonging to the Densovirinae subfamily, and 5 were classified into the newly proposed subfamily of Hamaparvovirinae . Additionally, 9 parvoviruses remain unclassified and cannot be assigned to any existing subfamily. We conducted a phylogenetic analysis based on the non-structural proteins of the viruses to explore the evolutionary relationships among parvoviruses, and found that some viruses could not be clustered with known parvoviruses. Conclusions These results enrich our understanding of parvovirus and viral dark matter, and reveal that these wild animals carry a large number of unknown new viruses that may have implications for the ecological balance of the Qinghai-Tibet Plateau.

Porcine deltacoronavirus (PDCoV), a newly discovered intestinal coronavirus, has rapidly spread among pigs worldwide and has shown the potential for cross-species infection. However, the interaction mechanism between PDCoV and the host’s antiviral response is still poorly understood. In this study, an E3 ubiquitin ligase FBXW8 was explored on PDCoV proliferation. Our findings demonstrate that PDCoV infection increases the expression of FBXW8 through p65-mediated activation of its promoter. We also discovered that FBXW8 suppresses PDCoV replication by directly targeting and inducing the degradation of the PDCoV-encoded nucleocapsid (N) protein. Interestingly, FBXW8 catalyzes the K48-linked polyubiquitination of the PDCoV N protein at a unique lysine-rich region (KR). Furthermore, we observed that the FBXW8-ubiquitinated PDCoV N protein interacts with NDP52, a cargo receptor, leading to autophagic degradation instead of proteasomal degradation. In summary, these findings reveal FBXW8 as a novel host antiviral factor involved in PDCoV infection. It mediates the NDP52-dependent autophagic degradation of the PDCoV N protein. These results provide new insights and a potential target for host defenses against PDCoV.