Nonrigid Object Contact Estimation With Regional Unwrapping Transformer

Acquiring contact patterns between hands and nonrigid objects is a common concern in the vision and robotics community. However, existing learning-based methods focus more on contact with rigid ones from monocular images. When adopting them for nonrigid contact, a major problem is that the existing contact representation is restricted by the geometry of the object. Consequently, contact neighborhoods are stored in an unordered manner and contact features are difficult to align with image cues. At the core of our approach lies a novel hand-object contact representation called RUPs (Region Unwrapping Profiles), which unwrap the roughly estimated hand-object surfaces as multiple high-resolution 2D regional profiles. The region grouping strategy is consistent with the hand kinematic bone division because they are the primitive initiators for a composite contact pattern. Based on this representation, our Regional Unwrapping Transformer (RUFormer) learns the correlation priors across regions from monocular inputs and predicts corresponding contact and deformed transformations. Our experiments demonstrate that the proposed framework can robustly estimate the deformed degrees and deformed transformations, which makes it suitable for both nonrigid and rigid contact.Comment: Accepted by ICCV202

Status and Trend of Power Semiconductor Module Packaging for Electric Vehicles

Power semiconductor modules are the core components in power-train system of hybrid and electric vehicles (HEV/EV). With the global interests and efforts to popularize HEV/EV, automotive module has become one of the fast growing sectors of power semiconductor industry. However, the comprehensive requirements in power, frequency, efficiency, robustness, reliability, weight, volume, and cost of automotive module are stringent than industrial products due to extremely high standards of vehicle safety and harsh environment. The development of automotive power module is facing comprehensive challenges in designing of structure, material, and assembly technology. In this chapter, the status and trend of power semiconductor module packaging for HEV/EV are investigated. Firstly, the functionality of power electronics and module in HEV/EV power-train system, as well as the performance requirements by automotive industry, is addressed. A general overview of HEV/EV module design and manufacturing is discussed. Then, the typical state-of-the-art commercial and custom HEV/EV power modules are reviewed and evaluated. Lastly, the packaging trends of automotive module are investigated. The advanced assembly concept and technology are beneficial to thermal management, minimized parasitic parameters, enhancement of thermal and mechanical reliability, and the reduction of weight, volume, and cost

La sobrecarga de información percibida por los estudiantes universitarios y su influencia en el síndrome de respuesta inmediata al smartphone durante la pandemia de la COVID-19: Tomando la perspectiva de la personalidad

The COVID-19 pandemic has affected university students’ learning and social interaction to a large level, causing different degrees of negative emotions and made them extremely sensitive to smartphone information. However, little is known about the link between personalities, perceived information overload (PIO) and smartphone immediate response syndrome (SIRS) during students' learning process in this specific emergency social context. Therefore, based on the person-environment fit model, this study investigated 482 university students from mainland China during the epidemic by a snowball sampling approach, and analyzed the relationship between their personalities, PIO and SIRS by structural equation modeling. Results indicated that individuals with extraversion and neuroticism formed SIRS from different psychological paths. PIO plays a partial mediating role between neuroticism and SIRS and a fully mediating role between extraversion and SIRS. These findings validate the association among individual personality, PIO and SIRS in the non-conventional environment and highlights the difference exist in cellphone-related psychological path between extraverted and neurotic students. Therefore, it is recommended that PIO should be controlled in a targeted manner for individuals with different personality and guide them using cellphones rationally during the epidemic.La pandemia causada por la COVID-19 ha afectado en gran medida al aprendizaje y a la interacción social de los estudiantes universitarios, provocando emociones negativas de diferentes grados y haciéndoles extremadamente sensibles a la información de los smartphones. Sin embargo, se sabe poco sobre la relación entre la personalidad, la sobrecarga de información percibida (SIP) y el síndrome de respuesta inmediata al smartphone (SIRS) durante el proceso de aprendizaje de los estudiantes en este contexto social de emergencia específico. Por lo tanto, basándose en el modelo de ajuste persona-ambiente, este estudio investigó a 482 estudiantes universitarios de China continental durante la epidemia mediante un enfoque de muestreo de bola de nieve, y analizó la relación entre su personalidad, SIP y SIRS mediante un modelo de ecuaciones estructurales. Los resultados indicaron que los individuos con extraversión y neuroticismo formaron el SIRS a partir de diferentes vías psicológicas. La SIP desempeña un papel mediador parcial entre el neuroticismo y el SIRS y un papel totalmente mediador entre la extraversión y el SIRS. Estos resultados validan la asociación entre la personalidad individual, la SIP y el SIRS en el entorno no convencional y pone de manifiesto la diferencia que existe en la trayectoria psicológica relacionada con el teléfono móvil entre los estudiantes extrovertidos y los neuróticos. Por lo tanto, se recomienda controlar la SIP de forma específica para los individuos con personalidad diferente y guiarlos en el uso racional de los teléfonos móviles durante la epidemia

Circadian rhythm of plasminogen activator inhibitor-1 and cardiovascular complications in type 2 diabetes

Cardiovascular complications are a common death cause in type 2 diabetes patients, as they are often combined. Plasminogen-activator Inhibitor 1 (PAI-1) participates in the development and progression of cardiovascular complications in diabetes. Insulin resistance increases PAI-1 production, and high PAI-1 levels lead to an environment conducive to thrombosis and earlier and more severe vascular disease. Current evidence also suggests that PAI-1 has a rhythmic profile of circadian fluctuations and acrophase in the morning within a single day, which might explain the high morning incidence of cardiovascular events. Thus, PAI-1 is a possible drug target. Although several PAI-1 inhibitors have been developed, none have yet been allowed for clinical use. Research on rhythm has also led to the concept of “chronotherapy”, a rhythm-based drug regimen expected to improve the treatment of cardiovascular complications in diabetic patients. Herein, we searched several databases and reviewed relevant articles to describe the circadian rhythm characteristics and endogenous molecular mechanisms of PAI-1, its relationship with insulin resistance, the causes of cardiovascular complications caused by PAI-1, and the current development of PAI-1 inhibitors. We also summarized the possibility of using the circadian rhythm of PAI-1 to treat cardiovascular complications in diabetic patients