831 research outputs found

    When Ad Is Selfie: The Effect of Selfie on the Effectiveness of Ad Endorsers in Social Media

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    Selfie has proliferated in social media and capture the attentions from businesses. Although selfie has been leveraged into social commerce, little literature has understood and explained the effect of selfie. To solve this gap, this paper considers the effect of selfie on the effectiveness of ad endorsers and the moderating role of product type. We interpret selfie as a form of self-disclosure and study three types of ad endorsers: celebrities, experts and typical consumers. Given the nature of selfie and ad endorsers, we hypothesize that selfie enhance the effectiveness of celebrities and typical consumers, not experts. Besides, we also hypothesize that selfie improve the effectiveness of celebrities and typical consumer for hedonic product more than for utilitarian product, and experts is good for utilitarian product. Towards hypotheses in our paper, we plan to employ lab and field experimental method to test them. Potential theoretical and practical implications have been discussed

    Collaborative configuration of renewable energy and energy storage under fixed investment in the decarbonization process

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    In the process of decarbonization, the configuration of renewable energy and energy storage plays a crucial role. In current research, there is often a singular focus on the isolated optimization of either renewable energy configurations or energy storage configurations, resulting in limitations within the optimized outcomes. Therefore, we propose a collaborative configuration approach for renewable energy and energy storage under fixed investment, considering the impact of uncertainty on optimization results. By employing the W/S (wind-to-solar ratio) and E/P (energy-to-power ratio) and constructing a model with an hourly granularity, we can obtain the configurations of renewable energy and energy storage at crucial time points. Using the UK as a case study, we calculate the configurations for renewable energy and energy storage from 2020 to 2050, offering effective recommendations for the decarbonization efforts in the UK

    Involvement of the JNK/FOXO3a/Bim Pathway in Neuronal Apoptosis after Hypoxic-Ischemic Brain Damage in Neonatal Rats.

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    c-Jun N-terminal kinase (JNK) plays a key role in the regulation of neuronal apoptosis. Previous studies have revealed that forkhead transcription factor (FOXO3a) is a critical effector of JNK-mediated tumor suppression. However, it is not clear whether the JNK/FOXO3a pathway is involved in neuronal apoptosis in the developing rat brain after hypoxia-ischemia (HI). In this study, we generated an HI model using postnatal day 7 rats. Fluorescence immunolabeling and Western blot assays were used to detect the distribution and expression of total and phosphorylated JNK and FOXO3a and the pro-apoptotic proteins Bim and CC3. We found that JNK phosphorylation was accompanied by FOXO3a dephosphorylation, which induced FOXO3a translocation into the nucleus, resulting in the upregulation of levels of Bim and CC3 proteins. Furthermore, we found that JNK inhibition by AS601245, a specific JNK inhibitor, significantly increased FOXO3a phosphorylation, which attenuated FOXO3a translocation into the nucleus after HI. Moreover, JNK inhibition downregulated levels of Bim and CC3 proteins, attenuated neuronal apoptosis and reduced brain infarct volume in the developing rat brain. Our findings suggest that the JNK/FOXO3a/Bim pathway is involved in neuronal apoptosis in the developing rat brain after HI. Agents targeting JNK may offer promise for rescuing neurons from HI-induced damage

    Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and Retention

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    Scene Graph Generation (SGG) offers a structured representation critical in many computer vision applications. Traditional SGG approaches, however, are limited by a closed-set assumption, restricting their ability to recognize only predefined object and relation categories. To overcome this, we categorize SGG scenarios into four distinct settings based on the node and edge: Closed-set SGG, Open Vocabulary (object) Detection-based SGG (OvD-SGG), Open Vocabulary Relation-based SGG (OvR-SGG), and Open Vocabulary Detection + Relation-based SGG (OvD+R-SGG). While object-centric open vocabulary SGG has been studied recently, the more challenging problem of relation-involved open-vocabulary SGG remains relatively unexplored. To fill this gap, we propose a unified framework named OvSGTR towards fully open vocabulary SGG from a holistic view. The proposed framework is an end-toend transformer architecture, which learns a visual-concept alignment for both nodes and edges, enabling the model to recognize unseen categories. For the more challenging settings of relation-involved open vocabulary SGG, the proposed approach integrates relation-aware pre-training utilizing image-caption data and retains visual-concept alignment through knowledge distillation. Comprehensive experimental results on the Visual Genome benchmark demonstrate the effectiveness and superiority of the proposed framework.Comment: 10 pages, 4 figures, 6 table

    Repeat abortion in Chinese adolescents: a cross-sectional study in 30 provinces

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    Background: Premarital sex has become more acceptable in China nowadays. The Chinese Family Planning (FP) programme mainly focuses on married couples, and young unmarried women have little access to information or advice about contraception. Abortion is commonly used to end unintended pregnancies in China. This study aimed to determine risk factors related to repeat abortions in Chinese adolescents. Methods: This cross-sectional study was one component of an EU-funded project and was conducted between March 20, and Oct 5, 2013 in China. We collected data using a questionnaire filled by abortion service providers for all women seeking abortions within 12 weeks of pregnancy during a period of 2 months in selected hospitals. A total of 297 hospitals were randomly selected across 30 provinces using a stratified cluster sampling design according to the level and type of hospital. In this study, only the adolescents (younger than the minimum legal married age of 20 years for women, unintendedly pregnant) were included for analysis. All participants signed a written informed consent of which they received a copy. Ethics approvals were obtained from both ethics committees of the National Research Institution for Family Planning (NRIFP), China, and of the Ghent University, Belgium. Findings: Of the 2370 adolescents (median age 19 years, range 13ā€“19), 927 (39%) were undergoing repeat abortions, 206 (9%) for a third time or more. The primary reason for their unintended pregnancies was non-use of contraception (1609, 68%), followed by ineffective contraception (761, 32%). After adjusting for potential confounding factors, the adolescents who had an increased risk of repeat abortions were those who had children (OR 2Ā·63, 95% CI 1Ā·82ā€“3Ā·78), those who resided in a middle-developed region (1Ā·79, 1Ā·30ā€“2Ā·48), those who resided in a relatively poor region (2Ā·37, 1Ā·77ā€“3Ā·17), and those who had used contraception during the 6 months preceding the survey (1Ā·34, 1Ā·08ā€“1Ā·65 for condom use). Adolescents who were students had a lower risk of repeat abortions than did those who were not students (0Ā·69, 0Ā·54ā€“0Ā·88). Interpretation: Repeat abortions among adolescents are highly prevalent in China. Adolescents should be offered equal access to FP in China to that of married women to reduce unintended pregnancies and repeat abortions. Correct and consistent contraception practice among adolescents should be promoted. Funding: The European Commission under the Seventh Framework Programme (FP7): INtegrating Post-Abortion Family Planning Services into China\u27s existing abortion services in hospital setting (INPAC), 282490

    Is Repeat Abortion a Public Health Problem among Chinese Adolescents? A Cross-Sectional Survey in 30 Provinces

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    The Chinese Family Planning (FP) programme mainly focuses on married couples, and young unmarried women have limited access. This cross-sectional study aims to identify risk factors related to repeat abortions in Chinese adolescents receiving abortions. Data were collected using a questionnaire for all women seeking abortions within 12 weeks of pregnancy during a period of 2 months in 297 participating hospitals randomly selected across 30 provinces of China in 2013. Only the adolescents (younger than the minimum legal married age of 20 years) were included in this study. Of the 2370 adolescents who were receiving abortions, 927 (39%) were undergoing repeat abortions. The primary reason for the current unintended pregnancies was non-use of contraception (68%). Adolescents receiving abortions who had an increased risk of repeat abortions were those who had children (OR 2.57, 95% CI 1.80ā€“3.67), those who resided in a middle-developed region (OR 1.81, 95% CI 1.30ā€“2.50), those who resided in a relatively poor region (OR 2.40, 95% CI 1.78ā€“3.23), and those who had used contraception during the 6 months preceding the survey (OR 1.38, 95% CI 1.12ā€“1.71 for condom use). The occupation as a student was a protective factor for adolescents (OR 0.64, 95% CI 0.50ā€“0.83). Adolescents should be offered equal access to FP to that of married women in China to reduce unintended pregnancies and repeat abortions. Correct and consistent contraception practice should be promoted

    Compositional Inversion for Stable Diffusion Models

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    Inversion methods, such as Textual Inversion, generate personalized images by incorporating concepts of interest provided by user images. However, existing methods often suffer from overfitting issues, where the dominant presence of inverted concepts leads to the absence of other desired concepts. It stems from the fact that during inversion, the irrelevant semantics in the user images are also encoded, forcing the inverted concepts to occupy locations far from the core distribution in the embedding space. To address this issue, we propose a method that guides the inversion process towards the core distribution for compositional embeddings. Additionally, we introduce a spatial regularization approach to balance the attention on the concepts being composed. Our method is designed as a post-training approach and can be seamlessly integrated with other inversion methods. Experimental results demonstrate the effectiveness of our proposed approach in mitigating the overfitting problem and generating more diverse and balanced compositions of concepts in the synthesized images. The source code is available at https://github.com/zhangxulu1996/Compositional-Inversion.Comment: This paper was accepted by AAAI 202

    BronchoTrack: Airway Lumen Tracking for Branch-Level Bronchoscopic Localization

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    Localizing the bronchoscope in real time is essential for ensuring intervention quality. However, most existing methods struggle to balance between speed and generalization. To address these challenges, we present BronchoTrack, an innovative real-time framework for accurate branch-level localization, encompassing lumen detection, tracking, and airway association.To achieve real-time performance, we employ a benchmark lightweight detector for efficient lumen detection. We are the first to introduce multi-object tracking to bronchoscopic localization, mitigating temporal confusion in lumen identification caused by rapid bronchoscope movement and complex airway structures. To ensure generalization across patient cases, we propose a training-free detection-airway association method based on a semantic airway graph that encodes the hierarchy of bronchial tree structures.Experiments on nine patient datasets demonstrate BronchoTrack's localization accuracy of 85.64 \%, while accessing up to the 4th generation of airways.Furthermore, we tested BronchoTrack in an in-vivo animal study using a porcine model, where it successfully localized the bronchoscope into the 8th generation airway.Experimental evaluation underscores BronchoTrack's real-time performance in both satisfying accuracy and generalization, demonstrating its potential for clinical applications
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