Feature pyramid network (FPN) is a critical component in modern object detection frameworks. The performance gain most of the existing FPN variants mainly attributed to increase computational burden. An attempt enhance enriching spatial information by expanding receptive fields, which promising largely improve accuracy. In this paper, we first investigate how fields affect accuracy and costs FPN. We explore baseline model called inception each lateral connection contains convolution filters...

How to learn a discriminative fine-grained representation is key point in many computer vision applications, such as person re-identification, classification, image retrieval, etc. Most of the previous methods focus on learning metrics or ensemble derive better global representation, which are usually lack local information. Based considerations above, we propose novel Attribute-Aware Attention Model ($A^3M$), can attribute and category simultaneously an end-to-end manner. The proposed model...

Vision transformer has achieved competitive performance on a variety of computer vision applications. However, their storage, run-time memory, and computational demands are hindering the deployment to mobile devices. Here we present pruning approach, which identifies impacts dimensions in each layer then executes accordingly. By encouraging dimension-wise sparsity transformer, important automatically emerge. A great number with small importance scores can be discarded achieve high ratio...

Conventional bone tissue engineering materials struggle to reinstate physiological remodeling in a diabetic context, primarily due the compromised repolarization of proinflammatory macrophages anti-inflammatory macrophages. Here, leveraging single-cell RNA sequencing (scRNA-seq) technology, pivotal role nitric oxide (NO) and reactive oxygen species (ROS) is unveiled impeding macrophage during amidst diabetes. Guided by scRNA-seq analysis, we engineer multienzymatic hydrogel scaffold (MEBTHS)...

Abstract Cancer therapeutic vaccines are powerful tools for immune system activation and eliciting protective responses against tumors. However, their efficacy has often been hindered by weak slow responses. Here, the authors introduce an immunization strategy employing senescent erythrocytes to facilitate accumulation of immunomodulatory zinc‐Alum/ovalbumin (ZAlum/OVA) nanovaccines within both spleen solid tumors temporarily saturating liver macrophages. This approach sets stage boosted...

Abstract To overcome current limitations in photoimmunotherapy, such as insufficient tumor antigen generation and a subdued immune response, novel photo‐/metallo dual‐mode immunotherapeutic agent (PMIA) is introduced for potent near‐infrared (NIR) light‐triggered cancer therapy. PMIA features dumbbell‐like AuPt heterostructure decorated with starry Pt nanoclusters, meticulously engineered enhancing plasmonic catalysis through multi‐dimensional regulation of growth on Au nanorods. Under NIR...

The deficient discrimination of tumor cells, limited accumulation therapeutic agents in foci, and undesirable metastasis result compromised efficacy antitumor therapy. Neutrophils, the most abundant circulating leukocytes, are key players progression have a high affinity to tumors. Herein, biomimetic nanodevice (NL-FSB) is developed by harboring pH-sensitive Fenton agent (FSB) an activated neutrophil membrane-incorporated liposome for tumor-specific ablation. Inheriting biointerfacing...

Here we study the low-resolution visual recognition problem. Conventional methods are usually trained on images with large ROIs (regions of interest), while regions and insider often small blur in real-world applications. Therefore, deep neural networks learned high-resolution cannot be directly used for recognizing objects. To overcome this challenging problem, propose to use teacher-student learning paradigm distilling useful feature information from a pre-trained model data. In practice,...

Deep convolutional neural networks (CNNs) are often of sophisticated design with numerous learnable parameters for the accuracy reason. To alleviate expensive costs deploying them on mobile devices, recent works have made huge efforts excavating redundancy in pre-defined architectures. Nevertheless, input resolution modern CNNs has not been fully investigated, i.e., image is fixed. In this paper, we observe that smallest accurately predicting given different using same network. end, propose...

Abstract Background As a new epi-center of COVID-19 in Asia and densely populated developing country, Indonesia is facing unprecedented challenges public health. SARS-CoV-2 lineage B.1.466.2 was reported to be an indigenous dominant strain (once second only the Delta variant). However, it remains unclear how this variant evolved spread within such archipelagic nation. Methods For statistical description, spatiotemporal distributions were plotted using publicly accessible metadata GISAID. A...

High flexible and high precise manipulation is one of the most critical technique for complex microsystem's measurement, manufacture, assembly. Although recent advances in microrobotics have successfully realized automatic positioning tiny objects, their 3-D free space remains a challenge, such as wide-angle rotation microsize sphere, due to complicate surface forces. Herein, this article proposed feedforward model microsized sphere by two cooperative micropipettes. Firstly, microrobotic...

Abstract Background The effects of cryptococcemia on patient outcomes in those with or without HIV remain unclear. Methods One hundred and seventy‐nine patients were enrolled this retrospective study. Demographic characteristics, blood test results outcome compared between the two groups. Results diagnosis time Cryptococcus infection was 2.0(0‐6.0) days for HIV‐infected patients, 5.0 (1.5‐8.0) HIV‐uninfected ( p = .008), 2.0 (1.0‐6.0) cryptococcal meningitis (CM) 6.0 (5.0‐8.0) non‐CM <...

Background: The ongoing coronavirus disease 2019 (COVID-19) pandemic has posed an unprecedented challenge to public health in Southeast Asia, a tropical region with limited resources. This study aimed investigate the evolutionary dynamics and spatiotemporal patterns of severe acute respiratory syndrome 2 (SARS-CoV-2) region. Materials Methods: A total 1491 complete SARS-CoV-2 genome sequences from 10 Asian countries were downloaded Global Initiative on Sharing Avian Influenza Data (GISAID)...

This observational study aims to investigate the early disease patterns of coronavirus 2019 (COVID-19) in Southeast Asia, consequently providing historical experience for further interventions. Data were extracted from official websites WHO and health authorities relevant countries. A total 1346 confirmed cases COVID-19, with 217 recoveries 18 deaths, reported Asia as 16 March 2020. The basic reproductive number (R0) COVID-19 region was estimated 2.51 (95% CI:2.31 2.73), there significant...

BACKGROUND The suicide risk of patients with cancer is higher than the general population. Our research aimed to explore Surveillance, Epidemiology, and End Results (SEER) database define incidence quest factors for death in Kaposi's sarcoma (KS) United States (US). MATERIAL AND METHODS We screened KS without human immunodeficiency virus status SEER from 1980 2016, calculated standardized mortality ratios them by comparing rates those US population identified relevant univariable...

Photothermal immunotherapy (PTI) has emerged as a promising approach for cancer treatment, while its efficacy is often hindered by the immunosuppressive tumor microenvironment (TME). Here, this work presents multifunctional platform PTI based on ruthenium nanocrystal-decorated mesoporous silica nanoparticles (RuNC-MSN). By precisely regulating distance between RuNC MSN, achieves remarkable enhancement in surface plasmon resonance of RuNC, leading to significant improvement photothermal...

Event-triggered control and self-triggered have recently been proposed as an alternative to more traditional periodic execution tasks. The possibility of reducing the number executions while guaranteeing desired level performance makes event triggering self-triggering very attractive in sensor/actuator network environments. In this case, feedback means amount transmission, thus energy expenditures. This paper describes two new distributed implementations strategies on networks. usefulness...

The control method of exoskeleton system for lower limb rehabilitation is complex, and there are many internal external factors to be considered, which makes the model exist uncertainties. Through analysis extremity exoskeleton, corresponding equation obtained, then linearized. Considering connecting rod, uncertain parts introduced optimal adopted system. In this paper, LQR robust used not only optimize state system, but also make robustness stability. Finally, physical parameters given,...

Viewing a particular region of an object with high magnification is essentially significant in both fundamental research and practical applications, however, imaging the sample from multi-direction still very challenging for current microscopes. Herein, centered miniature rotation robot under microscopy presented to achieve multi-directional small objects. First, rotatable constructed by three nano motors, including one rotational two linear-motors. Then, new centering strategy...

Existing approaches in video captioning concentrate on exploring global frame features the uncompressed videos, while free of charge and critical saliency information already encoded compressed videos is generally neglected. We propose a method which operates directly stored videos. To learn discriminative visual representation for captioning, we design residuals-assisted encoder (RAE), spots regions interest I-frames under assistance residuals frames. First, obtain spatial attention weights...

The present study aims to investigate the electromagnetic compatibility testing method for large medical robots. This paper explores operational mode and fundamental performance of robots in testing, based on working principle structural composition a sampling robot. Furthermore, it focuses analyzing field detection methods radiation emission test immunity Ultimately, this research provides valuable insights conducting tests