ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment

The objective of stylized speech-driven facial animation is to create animations that encapsulate specific emotional expressions. Existing methods often depend on pre-established emotional labels or facial expression templates, which may limit the necessary flexibility for accurately conveying user intent. In this research, we introduce a technique that enables the control of arbitrary styles by leveraging natural language as emotion prompts. This technique presents benefits in terms of both flexibility and user-friendliness. To realize this objective, we initially construct a Text-Expression Alignment Dataset (TEAD), wherein each facial expression is paired with several prompt-like descriptions.We propose an innovative automatic annotation method, supported by Large Language Models (LLMs), to expedite the dataset construction, thereby eliminating the substantial expense of manual annotation. Following this, we utilize TEAD to train a CLIP-based model, termed ExpCLIP, which encodes text and facial expressions into semantically aligned style embeddings. The embeddings are subsequently integrated into the facial animation generator to yield expressive and controllable facial animations. Given the limited diversity of facial emotions in existing speech-driven facial animation training data, we further introduce an effective Expression Prompt Augmentation (EPA) mechanism to enable the animation generator to support unprecedented richness in style control. Comprehensive experiments illustrate that our method accomplishes expressive facial animation generation and offers enhanced flexibility in effectively conveying the desired style

Research on Risk Management of Flexibility Information Systems

This paper applies a document reading method and deductive-inductive method, studies idea of flexibility MIS, and Risk Management of Flexibility Information Systems on its development and operating environment, discusses an effect on information system risk administration brought by flexibility MIS idea, suggests that the information system risk management framework and implementing strategy by flexibility idea. Key words: Flexibility MIS; Information system; Risk management; Change managemen

An Initial Study on the Intensifying Enterprises Information Management

The information management has become an important base of developing an enterprise’s eBusiness. Although our country has spent abundant manpower, material resources and financial support on enterprise information management, most of the information systems were not so good to meet our need and they didn’t bring the effect into play sufficiently. Based on the two large questionnaires, this paper has made an initial study and analysis on the status and actual questions of Chinese information management. And then this paper studies the current status of information management of some of the dominant enterprises in Sichuan Province. At last this paper presents some suggestions of intensifying enterprises information management

Thermal Analysis and Junction Temperature Estimation under Different Ambient Temperatures Considering Convection Thermal Coupling between Power Devices

The convection thermal coupling between adjacent power devices in power converters is dependent on the ambient temperature. When the ambient temperature changes, the convection thermal coupling also changes. This results in an inaccurate thermal model that causes errors in the prediction of the thermal distribution and junction temperature based on a fixed ambient temperature for power devices in converters application. To solve this variable-ambient-temperature-related issue, a thermal coupling experiment for semiconductor power devices (the MOSFET and diode) was performed to discuss the influence of the thermal coupling effect between adjacent devices and the FEM (Finite Element Method) thermal models for the power devices considering the convection thermal coupling are established. Through these simulations, the junction temperatures of devices under different ambient temperatures were obtained, and the relationships between the junction temperature and ambient temperatures were established. Moreover, the junction temperatures of power devices under different ambient temperatures were calculated and temperature distributions are analyzed in this paper. This method shows a strong significance and has potential applications for high-efficiency and high-power density converter designs

Effect of hull geometry on parametric resonances of spar in irregular waves

The parametric instabilities of spar platforms with different hull shapes are investigated in irregular waves. Parametric instability is a phenomenon that may cause excessive motion in offshore structures. It occurs when a system parameter varies with time, and the change meets certain conditions. For a spar platform, the parameter that causes parametric resonance is usually the metacentric height. In previous studies, the parametric instability of a spar was mainly analyzed in regular waves. However, real sea conditions are irregular. In addition, some accidents and experiments have shown that parametric resonance also occurs in irregular waves. This paper analyzes the parametric instability property of a spar platform being affected by multifrequency waves, which corresponds to realistic sea conditions. The stability is determined using both an analytic method and numerical simulation. The analytic investigation is carried out using Hill׳s equation. The heave amplitudes of the motion are simulated using the wave spectrum and response amplitude operator (RAO). Different hull shapes cause significant differences when analyzing the parametric instability due to irregular waves because of different RAOs. Stability diagrams containing the boundaries of the stability regions of different hull shapes are given based on the solution of Hill׳s equation. The numerical simulation can not only determine whether the spar is stable, but can also give the maximum pitch angle. The effects of the design parameters of a spar platform and the wave parameters are analyzed by giving the contours of the maximum pitch angle. The effects of time-varying displacement are also considered in this work. Stability diagrams and the contours of the maximum pitch angle are drawn to help with the prediction of the parametric instability. Some suggestions are also given to avoid the parametric pitch of a spar in design by selecting an appropriate design parameter and hull shape

Parametric instability prediction in a top-tensioned riser in irregular waves

The parametric instability of a top-tensioned riser (TTR) in irregular waves was predicted based on multi-frequency excitation. As the exploration of oil and gas moves into deeper water and the corresponding platforms encounter continuous wave loads, parametric resonance becomes an increasing challenge for TTR design. TTRs may suffer damage due to excessive stress or significant fatigue because of parametric resonance. Studies of the stability of long slender structures have been limited to regular waves, with an emphasis on explaining parametric resonance corresponding to simplified situations in which the related displacement or tension fluctuation is assumed to be an ideal harmonic signal. Waves are irregular in real sea conditions, therefore, the present study proposes a methodology to investigate the instability properties of TTRs in irregular waves. Hill's equation of a TTR system under multi-frequency excitation is derived based on linear-wave theory using a Pierson–Moskowitz wave spectrum. Analytic results are given for the stability limit of the related Hill's equation and they describe the stability of a TTR under irregular wave excitation. These new limits are compared to Mathieu-type stability limits. The stability diagram for Hill's equation with random phase modulation in multi-frequency excitation is obtained. To evaluate the proposed method, an example of the application of the stability diagram to TTR design is provided. Simulation results are compared under two types of wave excitation: single-frequency excitation and multi-frequency excitation, generated according to specific sea spectra. Parametric stability properties of a TTR system predicted by regular wave and irregular wave theory are different from each other. Although the transition curves both move to the upper zone of the parametric plane and the region of unstable zones shrink when the damping coefficient increases, the impact of damping is different. The results show that it is necessary to predict the parametric stability of TTR using irregular waves. Applying the stability diagram to a TTR in irregular waves shows that the introduction of extra damping to an unstable system can suppress the instability. In addition, the single-frequency excitation method predicts that the lower vibration mode is more likely to be excited, whereas the multi-frequency excitation method predicts that the higher vibration mode is more likely to fall into an unstable zone

Secondary Metabolites from the Endoparasitic Nematophagous Fungus Harposporium anguillulae YMF 1.01751

Harposporium anguillulae, an endoparasitic nematophagous fungus (ENF), is a model fungus from which the genus Harposporium was established. It can infect nematodes via ingested conidia. In this paper, the morphology and nematode–fungus interaction between Panagrellus redivivus and H. anguillulae were observed by scanning electron microscopy (SEM). The secondary metabolites of H. anguillulae were also studied. Seven metabolites were purified and identified from an ethyl acetate extract of broth and a methanol extract of mycelium. These include a new polyketone 5-hydroxy-3-(hydroxymethyl)-6-methyl-2H-pyran-2-one (1) and six known metabolites (17R)-17-methylincisterol (2), eburicol (3), ergosterol peroxide (4), terpendole C (5), (3β,5α,9β,22E)-3,5-dihydroxy-ergosta-7,22-dien-6-one (6), and 5α,6β-epoxy-(22E,24R)-ergosta-8,22-diene- 3β,7α-diol (7). These metabolites were assayed for their activity against plant root-knot nematode, Meloidogyne incognita, and the results showed that terpendole C (5) had weak nematicidal activity but also that other compounds did not have evident activity at a concentration of 400 μg mL−1. Compound 1 exhibited an attractive effect towards P. redivivus

Influence Factors of E-commerce Adoption: An Empirical Research in Special Markets

Recently, the development of special markets is playing an important role in accelerating Chinese economic evolution. However, Chinese special markets have the characteristics of rapid growth but lower level. This paper first studies the status of Chinese special markets according to the related statistical data, then, based upon E-Commerce adoption in corporations and the features of special markets, this paper mainly discusses three aspects of factors that influence the E-commerce adoption, environment, organization and technology. A questionnaire is designed, through the empirical research of special markets in Jinniu District of Chengdu, we study the influence factors of e-commerce adoption. At last, this paper presents the analysis result

Machine learning for polyphenol-based materials

Polyphenol-based materials, primarily composed of polyphenolic compounds, have attracted considerable attention due to their unique chemical structures and biological activities. However, there are many derivatives of polyphenols, resulting in the complexity and diversity of polyphenol-based materials. Traditional methods are difficult to meet the rapid development of polyphenol-based materials. Machine learning, known for its proficiency in predicting performance, optimizing synthesis processes, and designing novel materials, offers significant potential in the intelligent design and applications of polyphenol-based materials. In this review, we summarize the recent advancements in the research and development of polyphenol-based materials and machine learning. The intersection of polyphenol-based materials and machine learning is also discussed, including their applications in biomedical, environmental, and energy fields. The challenges and prospects for the future development of polyphenol-based materials based on machine learning are highlighted