For clustering-guided fully unsupervised person reidentification (re-ID) methods, the quality of pseudo labels generated by clustering directly decides model performance. In order to improve in existing we propose HCT method which combines hierarchical with hard-batch triplet loss. The key idea is make full use similarity among samples target dataset through clustering, reduce influence hard examples loss, so as generate high and Specifically, (1) labels, (2) PK sampling each iteration a new...

Human-centric visual tasks have attracted increasing research attention due to their widespread applications. In this paper, we aim learn a general human representation from massive unlabeled images which can benefit downstream human-centric the maximum extent. We call method SOLIDER, Semantic cOntrollable seLf-supervIseD lEaRning framework. Unlike existing self-supervised learning methods, prior knowledge is utilized in SOLIDER build pseudo semantic labels and import more information into...

The rapid advances in Vision Transformer (ViT) refresh the state-of-the-art performances various vision tasks, overshadowing conventional CNN-based models. This ignites a few recent striking-back research CNN world showing that pure models can achieve as good performance ViT when carefully tuned. While encouraging, designing such high-performance is challenging, requiring non-trivial prior knowledge of network design. To this end, novel framework termed Mathematical Architecture Design for...

Waterborne pathogens are becoming a serious worldwide health hazard; thus, the regular monitoring of epidemic is urgently required for public safety. In present study, we developed microfluidic chip integrated loop-mediated isothermal amplification technique (on-chip LAMP) to simultaneously detect 10 waterborne pathogenic bacteria, Campylobacter jejuni, Listeria monocytogenes, Salmonella enterica, Shigella flexneri, Staphylococcus aureus, Vibrio alginolyticus, V. cholerae, parahemolyticus,...

Marine aquaculture plays an important role in seafood supplement, economic development, and coastal ecosystem service provision. The precise delineation of marine areas from high spatial resolution (HSR) imagery is vital for the sustainable development management resources. However, various sizes detailed structures objects make it difficult accurate mapping HSR images by using conventional methods. Therefore, this study attempts to extract automatic labeling method based on convolutional...

<title>Abstract</title> This study investigated the mechanisms underlying adaptation of different <italic>Penaeus vannamei</italic> families to hypoxia. We identified two hypoxia-tolerant (HR A/B and HR C/D) one hypoxia-sensitive family (FG I/J) for further stress testing based on median lethal time values (LT₅₀) seven under various dissolved oxygen conditions. After exposed hypoxia 96 h, we measured antioxidant enzyme activity levels key proteins related with low-oxygen in shrimp...

Abstract Rapid and user‐friendly diagnostic tests are necessary for early diagnosis immediate detection of diseases, particularly on‐site screening pathogenic microorganisms in aquaculture. In this study, we developed a dual‐sample microfluidic chip integrated with real‐time fluorogenic loop‐mediated isothermal amplification assay (dual‐sample on‐chip LAMP) to simultaneously detect 10 microorganisms, that is Aeromonas hydrophila , Edwardsiella tarda Vibrio harveyi V. alginolyticus...

The systolic array architecture is one of the most popular choices for convolutional neural network hardware accelerators. biggest advantage its simple and efficient design principle. Without complicated control dataflow, accelerators with can calculate traditional convolution very efficiently. However, this also brings new challenges to array. When computing special types convolution, such as small-scale or depthwise processing element (PE) utilization rate decreases sharply. main reason...

Micro-blog has become very popular way to transmit and exchange information in network. In order explore network public opinions dissemination mechanism of Micro-blog, this paper discusses characteristics the social structure influence they made on transmitting sharing through complex analysis combined with data obtained from Sina Micro-blog. This presents a building model, scale-free property, small-world effect centrality property analysis. At last, event case.

Compact convolutional neural networks have become a hot research topic. However, we find that the systolic array accelerators are extremely inefficient in dealing with compact models, especially when processing depthwise layers networks. To make arrays more efficient for networks, propose heterogeneous (HeSA) architecture. It introduces elements support multiple modes of dataflow, which can further exploit reuse data chance and without changing scale or structure nave array. By increasing...

Due to multi-source mixed sedimentation, a unique series of fine-grained sedimentary rocks evolved within the Permian Lucaogou Formation in Jimusar Sag, located southeastern Junggar Basin, China. The variety lithofacies this results pronounced heterogeneity pore structures, complicating analysis fluid occurrence space and state reservoirs. As result, impact on mobility remains ambiguous. In study, we employed qualitative methods, such as field emission scanning electron microscopy (FE-SEM)...

Patient-Reported Outcome (PRO) surveys are used to monitor patients' symptoms during and after cancer treatment. Acute refer those experienced treatment late While most patients experience severe treatment, these usually subside in the stage. However, for some patients, toxicities persist negatively affecting patient's quality of life (QoL). In case head neck PRO recorded every week visit clinic at different follow-up times has concluded. this paper, we model data as a time-series apply...

Brain metastasis (BM) is a poor prognostic factor for non-small-cell lung cancer (NSCLC). Recent studies have shown that oral epidermal growth receptor (EGFR) tyrosine kinase inhibitors (TKIs) were effective BM from NSCLC with EGFR mutation. However, the relationship between mutations and prognosis of patients remains to be determined. In this study, we investigated impact mutation status on survival NSCLC. One hundred six retrospectively reviewed. Thirty-three subjects (24.3 %) confirmed an...

We investigate numerically and experimentally the mechanisms of surface air entrainment in vessels equipped with long‐short blades agitator. VOF method coupled LES model is used to visualize process. In case partial submergence long (LBs), interaction LBs liquid free creates a depression behind LBs. Backfilling into leads gas separation entrapping liquid. The critical tip velocity LBs, u tip,c , for onset measured diameters, T = 200∼600 mm. It found that when H/T ≥ 1.0, determined by...

In current computer vision tasks, deep convolutional neural networks (DCNN) achieve state-of-the-art results. At present, the DCNN has been widely used in many usage scenarios. It is also important to develop on supercomputers age of artificial intelligence. As a general-purpose accelerator deployed supercomputer which ranks fourth latest Top500 list, Matrix2000 vector single instruction multiple data (vector-SIMD) digital signal processor (DSP). The research implementation based DSP and...

Local differential privacy (LDP) has been established as a strong standard for collecting sensitive information from users. Although it attracted much research attention in recent years, the majority of existing works focus on applying LDP to frequency distribution estimation each individual value discrete domain. This paper concerns important range queries involving multiple values. Till now, only few target this problem. They all rely B-ary tree construct uniform and hierarchical...

The deep shale of the Wufeng–Longmaxi Formation in southern Sichuan Basin has high gas potential. development characteristics lamination could significantly impact reservoir property. Samples were investigated using microscopic observation, element analysis, organic petrology mineralogy and pore structure analysis to determine types laminae laminasets, clarify formation conditions argillaceous lamina silty as well their relationships with sedimentary environment, explore influence on Results...

Tourists’ environmentally responsible behavior (ERB) is crucial for the sustainable development of destinations, and external environment can alter individuals’ cognition through sensory perception. To investigate impact natural on tourists’ ERB, a conceptual model was developed validated from perspective by integrating embodied theory stimulus-organism-response model. The results structure equation modeling indicated that, with exception auditory perception, perceptions each sense...