With the surge of academic papers, it has become a common practice to recommend papers based on authors’ research interests. Existing methods focus leveraging author-paper interactions mine interests with coauthorship networks. However, sparse would pose huge challenge distinguish authors. Fortunately, inter-dependent knowledge across provides rich potential heterogeneous connections for interactions, offering much insights learning Therefore, we propose meta-relation guided coupling...

Twitter exhibits several characteristics, including a limited number of features and noisy text information. Extracting valuable information from has made hot topic detection challenging task. In this paper, novel four-stage framework is proposed to improve the performance detection. Data preprocessing first stage. Deep learning then exploited enrich short via image understanding. Next, improved latent Dirichlet allocation used optimize effective word pairs, which improves accuracy extracted...

Designing an efficient and secure authentication scheme is significant means to ensure the security of IoT systems. Hundreds schemes tailored for environments have been proposed in recent years, regrettably, many them were soon found succumbed vulnerabilities. In effort investigate underlying reason this, Wang et al. (at TIFS'23) recently analyzed vulnerability from perspective provable security. However, we observe that some with sound proofs heuristic analysis are also not resistant...

The whole mitochondrial genome sequence of red fox (Vuples vuples) was determined. It had a total length 16 723 bp. As in most mammal genome, it contained 13 protein coding genes, two ribosome RNA 22 transfer genes and one control region. base composition 31.3% A, 26.1% C, 14.8% G 27.8% T, respectively. codon usage fox, arctic gray wolf, domestic dog coyote followed the same pattern except for an unusual ATT start codon, which initiates NADH dehydrogenase subunit 3 gene fox. A long tandem...

In this paper, we propose an extended deep learning approach that incorporates instance selection and bootstrapping techniques for imbalanced data classification. supervised learning, classification performance often deteriorates when the training set is where at least one of classes has a substantially fewer number instances than others. We to use adaptive synthetic sampling (ADASYN) generate minority class. A pruning process based on multiple correspondence analysis (MCA) then performed...

News web videos exhibit several characteristics, including a limited number of features, noisy text information, and error in near-duplicate keyframes (NDK) detection. Such characteristics have made the mining events from news challenging task. In this paper, novel framework is proposed to better group associated events. First, data preprocessing stage performs feature selection tag relevance learning. Next, multiple correspondence analysis applied explore correlations between terms with...

In the biosynthesis of pentalenolactone (1), PenE and PntE, orthologous proteins from Streptomyces exfoliatus S. arenae, respectively, catalyze flavin-dependent Baeyer–Villiger oxidation 1-deoxy-11-oxopentalenic acid (4) to lactone D (5), in which less-substituted methylene carbon has migrated. By contrast, paralogous PtlE enzyme avermitilis catalyzes 4 neopentalenolactone (6), more substituted methane substitution undergone migration. We report design analysis 13 single multiple mutants...

Online learning has been greatly widespread since the explosion of COVID-19. However, due to lack interaction between teachers and students in online courses, it is very difficult for focus on course content complete learning. Therefore, we developed a novel intelligent multilevel knowledge graph help quickly systematically grasp framework key video lectures. Specifically, our method introduced cues into interactive mapping. This approach not only allows interact with graphs but also...

Due to the popularity and development of social networks web video sites, we have witnessed an exponential growth in volumes videos last decade. This prompts urgent demand for efficiently grasping major events. Nevertheless, insufficient noisy text information has made it difficult challenging mine events based on initial keywords visual features. In this paper, propose adaptive semantic association rule mining method NDK (Near-Duplicate Keyframes) level enrich keyword remove words without...

To explore the functional role of cullin 4A (CUL4A), a core subunit E3 ubiquitin ligase, in perihilar cholangiocarcinoma (PHCC).The expression CUL4A PHCC cell lines was evaluated by Western blot and quantitative reverse transcription-polymerase chain reaction. Immunohistochemistry (IHC) adopted to investigate relationship between clinicopathological characteristics PHCC. Univariate analysis multivariate regression were performed analyze risk factors related overall survival (OS)...

The global explosion of COVID-19 has brought unprecedented challenges to traditional higher education, especially for freshmen who have no major; they cannot determine what their real talents are. Thus, it is difficult them make correct choices based on skills. Generally, existing methods mainly mine isomorphic information, ignoring relationships among heterogeneous information. Therefore, this paper proposes a new framework give appropriate recommendations by mining educational This...

The high speed and low latency of 5G mobile network have accelerated the amount information transmission. Web video is likely to become main mode news production dissemination in future for its richer more convenient dissemination, which will subvert traditional event mining. Therefore, mining based on web videos has a new research hotspot. However, are vulnerable editing, lighting, shooting perspective angle, other factors, resulting inaccurate visual similarity detection problem. Generally...

The combination of planting and breeding, an agricultural production system, makes full use land, ecological space time, increasing the utilization rate yield both plant animal production. This experiment aimed to explore effects grape-duck farming system by analyzing behavior, meat quality, fecal microbiota ducks soil microbiota. results differed significantly on expressions positive behaviors between breeding group group, including actions foraging, feeding walking (p < 0.05), while...