Joint video moment retrieval and highlight detection aims to find the relevant moments and highlight clips in a video with natural language. It is an emerging task though its individual problems have been studied for a while. The current methods utilize transformer to interact between modals, which leads to a huge cost of parameters and computation in spite of great performance. To address this problem, we present a cross-modal attention mechanism to capture related features from different modalities in a few-parameter way. Furthermore, a lightweight multi-modal interaction model (MIM) is proposed to solve video moment retrieval and highlight detection jointly. In the case of greatly reducing the number of parameters, we achieve competitive performance and faster convergence speed compared to previous method. Extensive experiments on four datasets demonstrate the effectiveness of our method.
Knowledge graphs (KGs) play a pivotal role in AI-related applications.In order to construct or continuously enrich KGs, automatic knowledge construction and update mechanisms are usually utilized, which inevitably bring in plenty of noise, and noise would degrade the performance of downstream applications.Existing KG error detection methods utilize the embeddings of entities and relations, or directly leverage the paths between entities to test the plausibility of triples, while ignore the valuable hierarchical information contained in the paths between entities.Indeed, the paths between a pair of entities conform to a hierarchical structure.Specifically, there may be a number of paths between two entities, and each path is comprised of several relations.The hierarchical structure is able to provide precious information, and is beneficial to leverage the path information in a fine-grained manner.To this end, in this paper, we propose a novel model named KG error detection with HiErarchical pAth stRucture (HEAR for short).Particularly, for a given triple, HEAR first learns path representations with the relations contained in the path, then integrates all path representations, and at last predicts the plausibility of the triple.Finally, we extensively validate the superiority of HEAR against various state-of-the-art baselines.
Small cell lung cancer (SCLC) is a devastating and aggressive neuroendocrine carcinoma characterized by high cellular proliferation and early metastatic spread. Numerous studies have demonstrated that long noncoding RNAs (lncRNAs) can regulate tumor generation and development, including in SCLC. The current study aimed to assess the effect of the lncRNA, KCNQ1OT1, on the proliferation, apoptosis, and chemoresistance of SCLC and the potential underlying molecular mechanism.Matched chemo-resistant and sensitive cells were applied to RNA isolation and followed by expression profiling by microarray analysis and subsequent quantitative polymerase chain reaction (qPCR) validation. Cell viability and apoptosis were determined by Cell Counting Kit-8 and flow cytometry to examine the chemoresistance and apoptosis of KCNQ1OT1 knockdown with lentivirus-mediated RNA interference. Furthermore, cell proliferation was studied by colony formation, and invasion and migration were tested by Transwell cell invasion and wound-healing assays, respectively. A tumor xenograft model was established to determine the role of KCNQ1OT1 in tumor growth and chemoresistance in response to KCNQ1OT1 knockdown in vivo. Western blot analysis, qPCR, and immunohistochemistry were used to detect the levels of messenger RNA (mRNA) Janus kinase 2 (JAK2)/signal transducer and activator of transcription 3 (STAT3) pathway-related markers.Higher expression of KCNQ1OT1 was detected in SCLC chemo-resistant verso chemo-sensitive cells. Knockdown of KCNQ1OT1 inhibited SCLC cell viability and cloning ability, hindered cell migration and invasion, induced apoptosis in vitro, and suppressed tumor growth and chemoresistance in vivo, by activating the JAK2/STAT3 signaling pathway.This is the first study to indicate that lncRNA KCNQ1OT1 promotes cell proliferation and invasion, and prevents apoptosis of SCLC by activating the JAK2/STAT3 pathway.
Treatment of 2-methyl-1H-imidazole-4,5-dicarboxylic acid (H3MIA) with Co(NO3)2 in the presence of 4,4′-bipyridine (4,4′-bipy) under hydrothermal condition, yielded one novel two-dimensional (2-D) coordination polymer [Co(HMIA)(H2O)(4,4′-bipy)0.5]·H2On (1). Single-crystal structural study reveals that the complex incorporates alternate left– and right–handed helical chains by 4,4′-bipy linkages. This is the first example of 2-D Co(II) helical coordination polymer with mixed HMIA and 4,4′-bipy ligands. Its thermal properties are also investigated.
As the disease spreads, it will inevitably cause important damage to the life and health of the population, resulting in changes in the population quantity. In addition, in some economically underdeveloped areas, limited medical resources will also have an important impact on the prevention and control of diseases. Based on these, a susceptible-infected-recovered-susceptible (SIRS) epidemic model is established, where state-dependent pulse control strategy, varying total population and limited medical resources are introduced. By using the qualitative theory of ordinary differential equation, differential inequality techniques, Poincaré map, and other methods, some sufficient conditions of the existence and orbital asymptotical stability of positive order-1 or order-2 periodic solution are obtained in various situations. Theoretical results imply that the proportion of infected class can be controlled at a desired low level for a long time and disease will not break out among population. Finally, based on realistic parameters of brucellosis in ruminants, numerical simulations have been performed to expalin/extend our analytical results and the feasibility of the state-dependent feedback control strategy.
Suicidal ideation is a desire, thought, or conception that is closely associated with suicide, which is an important risk factor for suicidal behavior. Negative life events may impact college students’ suicidal ideation. According to the suicide susceptibility-stress model, the interaction between susceptibility factors and stressors may influence college students’ suicidal ideation. The present study investigated the role of entity theory and meaning in life in the influence of negative life events on suicidal ideation among college students. A nationwide questionnaire survey was conducted among 938 college students. The Beck Scale for Suicide Ideation, the Implicit Personality Theory Questionnaire, the Adolescent Life Events Scale, and the Meaning in Life Questionnaire were used. The results showed that negative life events were positively correlated with suicidal ideation, entity theory played a mediating role, and meaning in life moderated the mediation of entity theory. Finally, meaning in life and entity theory may bring some benefits to college students; that is, when faced with negative life events, meaning in life and entity theory may attenuate students’ suicidal ideation.
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