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The Internet of Things (IoT) acts as a tremendous network that is constructed by fusing diverse sensors. IoT can achieve the interconnection of individuals, things, and machines at any place and time and improve the function performance of network applications. However, the security of IoT has always been a major problem that may limit the application perspective of IoT technologies. Nowadays, industrial IOT (IIoT), Internet of vehicles (IoV), and smart home have become the three primary emerging perspectives of the current IoT studies, and it is necessary to systematically highlight the security analysis of these three types of scenarios. Hence, in this paper, guided by the three major IoT application scenarios, i.e., IIoT, IoV, and smart home, we sum up the development status of IoT security technologies, analyzed corresponding technical difficulties, and discussed several future outlook of challenges and development trends for the IoT technology.

Giant pandas are unique Carnivora with a strict bamboo diet. To investigate the molecular mechanism of giant panda nutrient metabolism from newborn to adult, the gene expression profiles of giant panda liver and pancreas tissues collected from three important feeding stages were investigated using RNA-seq. We found a total of 3,211 hepatic and 3,343 pancreatic differentially expressed genes (DEGs) from three comparisons between suckling and no feeding, adult and no feeding, and adult and suckling groups. Few differences in gene-expression profiles were exhibited between no feeding and suckling groups in both tissues. GO and KEGG analyses were performed to further understand the biological functions of the DEGs. In both the liver and pancreas, genes related mainly to cell cycle processes were highly up-regulated in newborn samples whereas genes related to metabolism and immunity were up-regulated in adult giant pandas. The high expression of metabolism-related genes in adult samples probably helps to fulfill the metabolic function requirements of the liver and pancreas. In contrast, several vital genes involved in cholesterol metabolism and protein digestion and absorption were over-expressed in newborn samples. This may indicate the importance of cholesterol metabolism and protein digestion and absorption processes in giant panda infancy.

Diet analysis is essential to fully understanding the biology of a species and its function within the ecosystem, and is also key in identifying food web interactions and the population dynamics of predators and prey. There is currently little information on the diet of small to mid-sized carnivores due to their elusive behavior. We used a DNA-based method to analyze the vertebrate prey of the Pallas’s cat (Otocolobus manul) in the Gongga Mountain Nature Reserve of southwestern China, a global biodiversity hotspot region. We confirmed 14 scat samples containing the Pallas’s cat DNA from 100 small carnivore scats collected at altitudes between 3200 and 4900 m, and then performed polymerase chain reaction (PCR) amplifications using primers targeting the vertebrate mitochondrial 12S rRNA gene with a blocking oligonucleotide specific to the predator sequence. We identified a total of 18 prey taxa, including nine mammals, eight birds and one fish. Our results show that pikas (in 79% of the scats) and birds (in 50% of the scats) are the predominant prey consumed by the Pallas’s cat in our investigation area. The most important finding in our study is that Cypriniformes species were found in the Pallas’s cat’s diet, exhibiting dietary diversification consistent with the accessible fauna of the surrounding environment. In order to increase the detectability of both typical and rare vertebrate prey items, we constructed a blocking primer to inhibit the amplification of the Pallas’s cat DNA.

The American cockroach (Periplaneta americana) is a globally invasive pest that can cause significant economic loss and threaten human health. Although it is abundant and lives in close proximity to humans, few studies have investigated the genetic diversity of P. americana. Our study analyzed 1,053 P. americana and other Periplaneta species' samples from different locations in China and the United States. A traditional tree‐based method using 17 unique mitochondrial COI haplotypes of P. americana and 20 haplotypes of the other Periplaneta species accurately identified P. americana with a barcoding threshold of 5.1%. To identify the population genetic structure of P. americana, we investigated wingless gene and pooled them with obtained mtDNA data for a combined analysis. Although the genetic diversity of the USA group was relatively higher than the China group, the number of haplotypes and alleles of both groups was small. The analysis of molecular variance (AMOVA), intraspecific phylogeny, and haplotype networks indicated that P. americana had very little global genetic differentiation. The weak geographic genetic structure might reflect the human‐mediated dispersal of P. americana. Despite no apparent phylogeographic assignment of mtDNA and nuclear lineages was observed in both BI trees, the integrated COI sequence data identified four distinct P. americana haplotype groups, showing four ancient maternal lineages of P. americana in China and the United States., Here, we assessed genetic diversity and genetic structure of Periplaneta americana specimen from 18 sites in China using mtDNA and nDNA markers and then compared the genetic pattern of P. americana in China with the Americas. Although no clear pattern of genetic structure was detected within P. americana, four mitochondrial lineage units of P. americana showed clear genetic signatures of ancestor haplotypes. Additionally, we analyzed the COI barcode region, using traditional tree‐based, ABGD, and GMYC species delimitation methods to determine the intraspecific genetic distance threshold of P. americana in a larger range of sampling. Compared to GMYC and ABGD approaches, the traditional tree‐based method could accurately and effectively identify P. americana from other five Periplaneta cockroaches species with barcoding threshold 5.1%.

Giant pandas are unique within Carnivora with a strict bamboo diet. Here, the epigenomic profiles of giant panda liver and pancreas tissues collected from three important feeding stages were investigated using BS-seq. Few differences in DNA methylation profiles were exhibited between no feeding and suckling groups in both tissues. However, we observed a tendency toward a global loss of DNA methylation in the gene-body and promoter region of metabolism-related genes from newborn to adult. Correlation analysis revealed a significant negative correlation between the changes in methylation levels within gene promoters and gene expression. The majority of genes related to nutrition metabolism had lost DNA methylation with increased mRNA expression in adult giant pandas. The few galactose metabolism and unsaturated fatty acid metabolism related genes that were hypomethylated and highly-expressed at early stages of giant panda development may meet the nutritional requirement of this species' highly altricial neonates.

The complete mitochondrial genome (mitogenome) of Periplaneta brunnea was sequenced in this study and used to reconstruct the phylogenetic relationship of Blattodea. The circular mitogenome was 15,604 bp long and exhibited typical gene organization and order, consistent with other sequenced Periplaneta mitogenomes. The initiation codon of the P. brunnea COX1 gene was unusual in that no typical ATN or TTG start codon was found. The two longest intergenic spacer sequences found in the P. brunnea mitogenome were 21 and 17 bp long. Twenty-one base spacer had a 4 bp motif (TATT) between tRNA-Glu and tRNA-Met that conservatively displayed in 9 sequenced blattarian mitogenomes. The second spacer was between tRNA-Ser (UCN) and NAD1 containing a 7 bp motif (WACTTAA) that was highly conserved in 14 blattarian mitogenomes. The control region showed a relatively fixed motif present in 6 Blattidae mitogenomes, with a big stem-loop structure. Phylogenetic analyses were conducted using site-homogeneous models based on 13 protein-coding genes (PCGs) and two RNA genes. The trees derived from Bayesian inference and maximum likelihood analyses and recovered a relatively stable relationship among major lineages except for the position of Polyphagidae and inter-family relationships of Blaberidae. Analyses supported the monophyly of Blattidae, Blaberidae, Blattellidae, Polyphagidae, Dictyoptera, and the paraphyly of Blattaria. We also found Mantodea was the sister clade to (Blattaria + Isoptera), being the basal position of Dictyoptera in all topologies. Meanwhile, our results also consistently supported that Isoptera should be clustered with Blattaria of Blattodea.

The avian family Picidae, which is nearly global in distribution, contains the piculets (Picumninae and Nesoctitinae), the woodpeckers (Picinae), and the wrynecks (Jynginae). However, the phylogenetic relationships within the Picidae remain obscure for most genera. In the present study, the complete mitochondrial genome of Picumnus innominatus was determined and described, which was the first complete mitogenome reported in the Picumnus . The circular mitogenome of P. innominatus was 17,180 bp in size and consisted of 13 protein-coding genes (PCGs), 22 tRNAs, 2 rRNA genes, a control region (CR), and a noncoding region. The gene order and arrangement of the P. innominatus mitogenome were identical to other mitogenomes of the Picidae. Moreover, strikingly large tandem repeats were found in the noncoding region of the P. innominatus mitogenome, which have not yet been covered in other picid species to date. At the family level (Picidae), the highest dN/dS ratio was detected for the ND1 gene (1.38726) among 13 PCGs, indicating that positive selection was powerful for this gene. Bayesian and Maximum Likelihood phylogenetic analyses based on the combination of 12S rRNA and CYTB gene supported strongly that the Picumninae is monophyletic.

Purulent disease is the main factor that prevents the population increase of forest musk deer in artificial breeding, and especially the intracorporal suppurative lesions in late-stage with complex bacterial communities normally bring more difficulties for veterinary treatment. Although it is well-recognized that Pseudomonas aeruginosa and Escherichia coli are the two main bacterial pathogens which can be frequently co-isolated from the lung pus of forest musk deer, few studies have explored the interspecific relationship and coexistent mechanism of the two species. In this study, we identified a P. aeruginosa strain MYL-2, which harbored a loss-of-function mutation in the central regulator (LasR) of quorum-sensing (QS) system, from the lung pus of a dying forest musk deer with co-infecting E. coli strain MYL-58. Interestingly, P. aeruginosa MYL-2 could coexist with E. coli MYL-58 compared to the dominant role of lasR-intact P. aeruginosa strain MYL-1 in the competitive experiments. The results of in vitro coevolution assay further revealed that the QS-mediated competitive advantage of P. aeruginosa MYL-1 would be decreased along with the enrichment of lasR mutants in the communities, and P. aeruginosa could finally coexist with E. coli by forming a relatively stable equilibrium. Therefore, these findings provide an evolutionary explanation for the coexistence of P. aeruginosa and E. coli in the suppurative lesions of forest musk deer, and may also contribute to further understanding the pathology of animal purulent disease and the development of novel veterinary therapy.

This paper compares the digital campus with the smart campus and analysis the framework of smart campus in the big data environment, based on the actual characteristics of military academies. The framework utilizes the information technologies such as Internet of Things and Apache Spark to access all students and teachers' behavior data comprehensively. With efficient data analysis and deeply data mining, optimizing educational model and assisting decision-making scientifically will be achieved.