261 research outputs found
Nonexistence of solutions to fractional parabolic problem with general nonlinearities
In this content, we investigate a class of fractional parabolic equation with general nonlinearities
∂z(x, t) ∂t − ( + λ) β 2 z(x, t) = a(x1) f (z),
where a and f are nondecreasing functions. We first prove that the monotone increasing property of the positive solutions in x1 direction. Based on this, nonexistence of the solutions are obtained by using a contradiction argument. We believe these new ideas we introduced will be applied to solve more fractional parabolic problemsThe research of Zhang has been partially supported by National Natural Science Foun dation of China(No. 12001344) and the Graduate Education and Teaching Innovation Project of Shanxi, China (No. 2022YJJG124), the research of Nieto has been partially supported by the Agencia Estatal de Investigación (AEI) of Spain under Grant PID2020-113275GB-I00, cofinanced by the European Community fund FEDER, as well as Xunta de Galicia grant ED431C 2019/02 for Competitive Reference Research Groups (2019–22) and the research of Wang has been partially supported by Natural Science Foundation of Shanxi Province, China(No. 20210302123339)S
Abusive supervision and psychological capital: A mediated moderation model of team member support and supervisor-student exchange
Antithrombotic therapy in elderly patients with non-valvular atrial fibrillation: a pilot study
UniSA: Unified Generative Framework for Sentiment Analysis
Sentiment analysis is a crucial task that aims to understand people's
emotional states and predict emotional categories based on multimodal
information. It consists of several subtasks, such as emotion recognition in
conversation (ERC), aspect-based sentiment analysis (ABSA), and multimodal
sentiment analysis (MSA). However, unifying all subtasks in sentiment analysis
presents numerous challenges, including modality alignment, unified
input/output forms, and dataset bias. To address these challenges, we propose a
Task-Specific Prompt method to jointly model subtasks and introduce a
multimodal generative framework called UniSA. Additionally, we organize the
benchmark datasets of main subtasks into a new Sentiment Analysis Evaluation
benchmark, SAEval. We design novel pre-training tasks and training methods to
enable the model to learn generic sentiment knowledge among subtasks to improve
the model's multimodal sentiment perception ability. Our experimental results
show that UniSA performs comparably to the state-of-the-art on all subtasks and
generalizes well to various subtasks in sentiment analysis.Comment: Accepted to ACM MM 202
3D printing: printing precision and application in food sector
Background: Three dimensional (3D) food printing is being widely investigated in food sector recent years due to its multiple advantages such as customized food designs, personalized nutrition, simplifying supply chain, and broadening of the available food material
Surface analytical investigation on organometal triiodide perovskite
In a little over a year, there has been an unexpected breakthrough and rapid evolution of highly efficient solid-state hybrid solar cells based on organometal trihalide perovskite materials. This technology has the potential to produce solar cells with the very highest efficiencies while retaining the very lowest cost. The authors have measured the electronic density of states of CH3NH3PbI3 using ultraviolet photoemission spectroscopy (UPS), inverse photoemission spectroscopy (IPES), and x-ray photoemission spectroscopy (XPS). The valence band maximum and conduction band minimum positions are obtained from the UPS and IPES spectra, respectively, by linear extrapolation of the leading edges. The authors investigate the Au/perovskite and C60/perovskite interfaces by UPS and XPS. An interface dipole of 0.1 eV is observed at Au/perovskite interface. The energy levels of perovskite shift upward by ca.0.4 eV with Au coverage of 64Ã… upon it, resulting in band bending, hence a built-in field in perovskite that encourages hole transport to the interface. The XPS results show a strong initial shift of core levels to lower binding energy in the perovskite, which indicates that electrons transfer from the perovskite film to fullerene molecules. Further deposition of fullerene forms C60 solid, accompanied by the reduction of the electron transfer. The strongest electron transfer happened at 1/4 monolayer of fullerene
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