Orientation Cues-Aware Facial Relationship Representation for Head Pose Estimation via Transformer.

Head pose estimation (HPE) is an indispensable upstream task in the fields of human-machine interaction, self-driving, and attention detection. However, practical head pose applications suffer from several challenges, such as severe occlusion, low illumination, and extreme orientations. To address these challenges, we identify three cues from head images, namely, critical minority relationships, neighborhood orientation relationships, and significant facial changes.

A rehabilitation robot control framework with adaptation of training tasks and robotic assistance.

Robot-assisted rehabilitation has exhibited great potential to enhance the motor function of physically and neurologically impaired patients. State-of-the-art control strategies usually allow the rehabilitation robot to track the training task trajectory along with the impaired limb, and the robotic motion can be regulated through physical human-robot interaction for comfortable support and appropriate assistance level. However, it is hardly possible, especially for patients with severe motor disabilities, to continuously exert force to guide the robot to complete the prescribed training task.

Serum TBK1 levels are correlated with inflammation, optic nerve sheath diameter and intracranial pressure in severe traumatic brain injury patients under deep sedation.

Background: Severe traumatic brain injuries (STBIs) cause 1/3-1/2 of trauma-related deaths. Tumor necrosis factor (TNF) receptor-associated factor NF-κB activator (TANK)-binding kinase 1 (TBK1) is a biomarker associated with inflammation, while inflammation is a key promoter of the TBI process.

Objectives: To investigate the clinical significance of TBK1 in STBI patients.

Is there an epilepsy belt of high prevalence rate in China?

Background: Epilepsy is one of the leading neurological diseases. Our study is aimed to determine whether there is a focal region of high epilepsy prevalence in China.

Methods: All studies published between 1981 and 2020 investigating the prevalence of epilepsy in China were systematically reviewed.

Site and Mechanism of Recurrent Pontine Infarction: A Hospital-Based Follow-Up Study.

Although pontine infarction is the most common subtype of posterior circulation stroke, there has been little research focusing on recurrent pontine infarction. Our study aimed to investigate the factors associated with site and mechanism of recurrent pontine infarction. Patients with acute isolated pontine infarction were enrolled and followed up for one year.

Higher Prevalence of Diabetes in Pontine Infarction than in Other Posterior Circulation Strokes.

Background: Pontine infarction is the major subtype of posterior circulation stroke, and diabetes is more common in pontine infarction patients than in anterior circulation stroke patients. Whether the prevalence of diabetes remains homogenous within the posterior circulation stroke population is unclear. The present study is aimed at investigating the prevalence of diabetes in pontine infarction and comparing it to other subtypes of posterior circulation stroke.

Learning From Images: A Distillation Learning Framework for Event Cameras.

Event cameras have recently drawn massive attention in the computer vision community because of their low power consumption and high response speed. These cameras produce sparse and non-uniform spatiotemporal representations of a scene. These characteristics of representations make it difficult for event-based models to extract discriminative cues (such as textures and geometric relationships).

RGBD Salient Object Detection via Disentangled Cross-modal Fusion.

Depth is beneficial for salient object detection (SOD) for its additional saliency cues. Existing RGBD SOD methods focus on tailoring complicated cross-modal fusion topologies, which although achieve encouraging performance, are with a high risk of over-fitting and ambiguous in studying cross-modal complementarity. Different from these conventional approaches combining cross-modal features entirely without differentiating, we concentrate our attention on decoupling the diverse cross-modal complements to simplify the fusion process and enhance the fusion sufficiency.

Interaction between worsening cognitive function and deteriorating functional status on depressive symptoms among Chinese community-dwelling elders.

Aim: Cognitive impairment and functional deterioration are common in later life and often co-occur with depressive symptoms (DS). This study aims to examine the individual effects and possible interaction between worsening cognitive function (CF) and deteriorating functional status (FS) on DS using large sample, longitudinal data.

Methods: Elderly people who completed the baseline survey of China Health and Retirement Longitudinal Study (CHARLS 2011) and the third wave survey (2015) were included.

Discriminative Cross-Modal Transfer Learning and Densely Cross-Level Feedback Fusion for RGB-D Salient Object Detection.

This article addresses two key issues in RGB-D salient object detection based on the convolutional neural network (CNN). 1) How to bridge the gap between the "data-hungry" nature of CNNs and the insufficient labeled training data in the depth modality? 2) How to take full advantages of the complementary information among two modalities. To solve the first problem, we model the depth-induced saliency detection as a CNN-based cross-modal transfer learning problem.

Temporal precedence of cognitive function and functional abilities: A latent difference score model of the Chinese community-dwelling elders.

Objectives: Little research has explored how cognitive function and activities of daily living (ADL) affect each other over time. In addition, no current finding provides a clear hint to the temporal precedence between them. The present study tries to address these limitations of prior studies by utilizing a longitudinal data and advanced statistical modeling.

A Multi-Mode Rehabilitation Robot With Magnetorheological Actuators Based on Human Motion Intention Estimation.

Lower extremity paralysis has become common in recent years, and robots have been developed to help patients recover from it. This paper presents such a robotic system that allows for two working modes, the robot-active mode and human-active mode. The robot is designed to be equipped with magnetorheological (MR) actuators that have the advantages of high torque, fast response, flexible controllability, low power consumption and safety guarantee.

Discontinuation and switching patterns of tumour necrosis factor inhibitors (TNFis) in TNFi-naive and TNFi-experienced patients with psoriatic arthritis: an observational study from the US-based Corrona registry.

Objective: To examine patterns of tumour necrosis factor inhibitor (TNFi) use in TNFi-naive and TNFi-experienced patients with psoriatic arthritis (PsA) in the USA.

Methods: All patients aged ≥18 years with PsA enrolled in the Corrona Psoriatic Arthritis/Spondyloarthritis Registry who initiated a TNFi (index therapy) between March 2013 and January 2017 and had ≥1 follow-up visit were included. Times to and rates of discontinuation/switch of the index TNFi were compared between TNFi-naive and TNFi-experienced cohorts.

miR-15b-5p targeting amyloid precursor protein is involved in the anti-amyloid eflect of curcumin in swAPP695-HEK293 cells.

Curcumin exerts a neuroprotective effect on Alzheimer's disease; however, it is not known whether microRNAs are involved in this protective effect. This study was conducted using swAPP695-HEK293 cells as an Alzheimer's disease cell model. swAPP695-HEK293 cells were treated with 0, 0.

Therapy with Biologic Agents After Diagnosis of Solid Malignancies: Results from the Corrona Registry.

Objective: Guidelines suggest that rheumatoid arthritis (RA) patients with previously treated solid malignancy may be treated as patients without such history. The recommendation is based on limited evidence, and rheumatologists and patients are frequently hesitant to start or continue biologic therapy after a cancer diagnosis. The objective of this study was to describe biologic use in real-world patients with RA following a malignancy diagnosis.

Phase measurement deflectometry with refraction model and its calibration.

The phase measurement deflectometry considering the refraction effect is presented to measure the mirror surface in this paper. In the context of the conventional phase measurement deflectometry, the biplanar structure of the system constructed by spatial multiplexing of a screen or a half mirror with two screens is a compromise of traditional display technology, while they suffer from complex calibration process and low accuracy. To improve the system compactness and efficiency, a novel measurement model consisting of a transparent screen and an ordinary screen is used to determine the incident light.

Three-stream Attention-aware Network for RGB-D Salient Object Detection.

Previous RGB-D fusion systems based on convolutional neural networks (CNNs) typically employ a two-stream architecture, in which RGB and depth inputs are learnt independently. The multi-modal fusion stage is typically performed by concatenating the deep features from each stream in the inference process. The traditional two-stream architecture might experience insufficient multi-modal fusion due to two following limitations: (1) The cross-modal complementarity is rarely studied in the bottom-up path, wherein we believe the crossmodal complements can be combined to learn new discriminative features to enlarge the RGB-D representation community; (2) The cross-modal channels are typically combined by undifferentiated concatenation, which appears ambiguous to select cross-modal complementary features.

Liberating carotid arteries: measuring arterial pressure through femoral artery in mice.

Researches involving arterial pressure measurements in mice have primarily relied on carotid arterial catheterization. However, in some circumstances, measuring arterial pressure through the carotid arterial impairs accuracy. This study was aimed to evaluate whether femoral artery could displace carotid artery for the blood pressure (BP) measurements in mice.

Blind Poissonian reconstruction algorithm via curvelet regularization for an FTIR spectrometer.

An FTIR spectrometer often suffers from common problems of band overlap and Poisson noises. In this paper, we show that the issue of infrared (IR) spectrum degradation can be considered as a maximum a posterior (MAP) problem and solved by minimized a cost function that includes a likelihood term and two prior terms. In the MAP framework, the likelihood probability density function (PDF) is constructed based on the observed Poisson noise model.

Delayed Treatment Acceleration in Patients with Rheumatoid Arthritis Who Have Inadequate Response to Initial Tumor Necrosis Factor Inhibitors: Data from the Corrona Registry.

Background: The implementation of treat-to-target principles in rheumatoid arthritis (RA) has not been fully investigated in patients with inadequate response to tumor necrosis factor (TNF) inhibitor treatment.

Objectives: To evaluate the prevalence of an inadequate response to initial TNF inhibitor treatment at 6 and 12 months among patients with RA in a real-world patient registry, as well as the delay in therapy adjustment and its impact on disease activity and patient-reported outcome (PRO) measures.

Methods: This analysis is based on data of patients with moderate or severe disease activity (Clinical Disease Activity Index [CDAI] score >10) who were included in the Consortium of Rheumatology Researchers of North America (Corrona) RA registry, a prospective, observational database.

Vascular endothelial growth factor aggravates cerebral ischemia and reperfusion-induced blood-brain-barrier disruption through regulating LOC102640519/HOXC13/ZO-1 signaling.

Background/objective: Vascular endothelial growth factor (VEGF) has been recognized to be a potential pharmaceutical target for treating ischemic stroke, but its severe side effects hinder its widely application. Here, the present study was designed to investigate the effects of VEGF on blood-brain-barrier (BBB) disruption and the underlying mechanisms.

Methods: A mouse model of middle cerebral artery occlusion (MCAO) was constructed and treated with or without VEGF.

Improved 3D measurement with a novel preprocessing method in DFP.

Shadow and background are two common factors in digital fringe projection, which lead to ambiguity in three-dimensional measurement and thereby need to be seriously considered. Preprocessing is often needed to segment the object from invalid points. The existing segmentation approaches based on modulation normally perform well in pure dark background circumstances, which, however, lose accuracy in situations of white or complex background.

Impact of Sustained Remission on the Risk of Serious Infection in Patients With Rheumatoid Arthritis.

Objective: This retrospective analysis examined how sustained remission impacted risk of serious infections in patients with rheumatoid arthritis (RA) enrolled in a clinical registry.

Methods: Inclusion criteria included RA diagnosis, age ≥18 years, and ≥2 Clinical Disease Activity Index (CDAI) scores followed by a followup visit. Index date was the second of 2 visits in which a patient had sustained remission (CDAI ≤2.

Impact of rituximab on patient-reported outcomes in patients with rheumatoid arthritis from the US Corrona Registry.

To evaluate the impact of rituximab on patient-reported outcomes (PROs) in a US-based observational cohort of patients with rheumatoid arthritis (RA). Patients with active RA, prior exposure to ≥1 tumor necrosis factor inhibitor (TNFi) and who newly initiated rituximab were identified. Changes in PROs were assessed 1 year after rituximab initiation.