Temporal Cross-Media Retrieval with Soft-Smoothing

Multimedia information have strong temporal correlations that shape the way modalities co-occur over time. In this paper we study the dynamic nature of multimedia and social-media information, where the temporal dimension emerges as a strong source of evidence for learning the temporal correlations across visual and textual modalities. So far, cross-media retrieval models, explored the correlations between different modalities (e.g. text and image) to learn a common subspace, in which semantically similar instances lie in the same neighbourhood. Building on such knowledge, we propose a novel temporal cross-media neural architecture, that departs from standard cross-media methods, by explicitly accounting for the temporal dimension through temporal subspace learning. The model is softly-constrained with temporal and inter-modality constraints that guide the new subspace learning task by favouring temporal correlations between semantically similar and temporally close instances. Experiments on three distinct datasets show that accounting for time turns out to be important for cross-media retrieval. Namely, the proposed method outperforms a set of baselines on the task of temporal cross-media retrieval, demonstrating its effectiveness for performing temporal subspace learning.Comment: To appear in ACM MM 201

Heat Shock Protein 40 (HSP40) in Pacific White Shrimp (Litopenaeus vannamei): Molecular Cloning, Tissue Distribution and Ontogeny, Response to Temperature, Acidity/Alkalinity and Salinity Stresses, and Potential Role in Ovarian Development

Heat shock proteins (HSPs), a family of conserved proteins that are produced by cells in response to stresses, are known as molecular chaperones with a range of housekeeping and cellular protective functions. The 40 kD heat shock protein (HSP40) is a co-chaperone for HSP70 in the regulation of ATP hydrolysis. Unlike its well-documented cofactor HSP70, little is currently known regarding the biological functions of HSP40 in crustacean species such as penaeid shrimp. In the present study, the cDNA encoding HSP40 (Lv-HSP40) was identified from the Pacific white shrimp Litopenaeus vannamei, a highly significant commercial culture species. The structural organization indicates that Lv-HSP40 belongs to the type-I HSP40s. The muscle, gill, and hepatopancreas are the main sites of Lv-HSP40 transcript expression. Within these tissues, Lv-HSP40 mRNA were predominantly exhibited in the myocytes, epithelial cells and hepatopancreatic cells, respectively. Under acute thermal stress in the culture environment, Lv-HSP40 transcript levels are significantly induced in these three tissues, while low pH stress only upregulates Lv-HSP40 mRNA in the hepatopancreas and gill. During ontogenesis, Lv-HSP40 transcript levels are high at early embryonic stages and drop sharply at late embryonic and early larval stages. The ovary is another major organ of Lv-HSP40 mRNA expression in female shrimp, and Lv-HSP40 transcripts were mainly presented in the follicle cells but only weekly detected in the oocytes. Ovarian Lv-HSP40 mRNA levels increase continuously during gonadal development. Silencing of the Lv-HSP40 gene by RNA interference may effectively delay ovarian maturation after unilateral eyestalk ablation. The roles of Lv-HSP40 in ovarian development are speculated to be independent of its cofactor HSP70, and the vitellogenesis factor vitellogenin (Vg) and vitellogenin receptor (VgR). Our study, as a whole, provides new insights into the roles of HSP40 in multiple physiological processes in L. vannamei: (1) HSP40 is a responding factor during stressful conditions; and (2) HSP40 participates in embryonic and ovarian development

Spatial localization of resistive drift wave structure in tokamak edge plasmas with an embedded magnetic island

Resistive drift wave instability is investigated numerically in tokamak edge plasma confined by sheared slab magnetic field geometry with an embedded magnetic island. The focus is on the structural characteristics of eigenmode inside the island, where the density profile tends to be flattened. A transition of the dominant eigenmode occurs around a critical island width wc . For thinislands with a width below wc , two global long wavelength eigenmodes with approximately the same growth rate but different eigenfrequency are excited, which are stabilized by the magnetic island through two-dimensional mode coupling in both x and y (corresponding to radial and poloidal intokamak) directions. On the other hand, a short wavelength eigenmode, which is destabilized by thick islands with a width above wc , dominates the edge fluctuation, showing a prominent structural localization in the region between the X-point and the O-point of the magnetic island. The main destabilization mechanism is identified as the mode coupling in the y direction, which is similar to the so-called toroidal coupling in tokamak plasmas. These three eigenmodes may coexist in the drift wave fluctuation for the island with a width around wc . It is demonstrated that the structural localization results mainly from the quasilinear flattening of density profile inside the magnetic island

OVERALL DESIGN OF WHEELED MOBILE SHIP LOADER AND SIMULATION ANALYSIS OF BOOM STRUCTURE

Based on the design scheme and parameters of the wheeled mobile ship loader, the overall design of the ship loader was carried out. According to the structural characteristics of the boom of the wheeled mobile ship loader, the characteristic parameters were extracted, then the parametric model of the boom was established by using the APDL language of ANSYS, and the finite element analysis of the boom structure was carried out. Finally, the boom structure was optimized by using ANSYS software and optimization design technology. Under the condition of meeting the design requirements, the economy and reliability of the boom are realized. The results are as follows: because the lower articulation of the boom is close to the inlet and outlet, its force is also large, the head of the boom is equivalent to the cantilever beam and hangs the chute, the maximum stress of the boom appears at the lower articulation, and the maximum deformation occurs at the head of the boom; the total weight of the structure can be greatly reduced by adopting variable cross-section design of the boom structure

Gastroscopic Image Graph: Application to Noninvasive Multitarget Tracking under Gastroscopy

Gastroscopic examination is one of the most common methods for gastric disease diagnosis. In this paper, a multitarget tracking approach is proposed to assist endoscopists in identifying lesions under gastroscopy. This approach analyzes numerous preobserved gastroscopic images and constructs a gastroscopic image graph. In this way, the deformation registration between gastroscopic images is regarded as a graph search problem. During the procedure, the endoscopist marks suspicious lesions on the screen and the graph is utilized to locate and display the lesions in the appropriate frames based on the calculated registration model. Compared to traditional gastroscopic lesion surveillance methods (e.g., tattooing or probe-based optical biopsy), this approach is noninvasive and does not require additional instruments. In order to assess and quantify the performance, this approach was applied to stomach phantom data and in vivo data. The clinical experimental results demonstrated that the accuracy at angularis, antral, and stomach body was 6.3 ± 2.4 mm, 7.6 ± 3.1 mm, and 7.9 ± 1.6 mm, respectively. The mean accuracy was 7.31 mm, average targeting time was 56 ms, and the P value was 0.032, which makes it an attractive candidate for clinical practice. Furthermore, this approach provides a significant reference for endoscopic target tracking of other soft tissue organs

The analysis of nickel ore liquefaction mechanism and its estimation methods

Shipping laterite nickel ore has a high risk of ship tilting or even capsizing caused by cargo liquefaction. This article analyzes the special nature of laterite nickel ore; explains the mechanism of nickel ore liquefaction caused by excessive moisture content based on the theory of soil mechanics; summarizes the three theoretical experimental methods for the justification of nickel ore liquefaction. The analysis results of laterite nickel ore liquefaction mechanism, provides a theoretical basis for effective solutions to prevent the shipwreck caused by liquefaction of laterite nickel ore, which has significant importance to ensure the essential safety

Real-Time Multi-Label Upper Gastrointestinal Anatomy Recognition from Gastroscope Videos

Esophagogastroduodenoscopy (EGD) is a critical step in the diagnosis of upper gastrointestinal disorders. However, due to inexperience or high workload, there is a wide variation in EGD performance by endoscopists. Variations in performance may result in exams that do not completely cover all anatomical locations of the stomach, leading to a potential risk of missed diagnosis of gastric diseases. Numerous guidelines or expert consensus have been proposed to assess and optimize the quality of endoscopy. However, there is a lack of mature and robust methods to accurately apply to real clinical real-time video environments. In this paper, we innovatively define the problem of recognizing anatomical locations in videos as a multi-label recognition task. This can be more consistent with the model learning of image-to-label mapping relationships. We propose a combined structure of a deep learning model (GL-Net) that combines a graph convolutional network (GCN) with long short-term memory (LSTM) networks to both extract label features and correlate temporal dependencies for accurate real-time anatomical locations identification in gastroscopy videos. Our methodological evaluation dataset is based on complete videos of real clinical examinations. A total of 29,269 images from 49 videos were collected as a dataset for model training and validation. Another 1736 clinical videos were retrospectively analyzed and evaluated for the application of the proposed model. Our method achieves 97.1% mean accuracy (mAP), 95.5% mean per-class accuracy and 93.7% average overall accuracy in a multi-label classification task, and is able to process these videos in real-time at 29.9 FPS. In addition, based on our approach, we designed a system to monitor routine EGD videos in detail and perform statistical analysis of the operating habits of endoscopists, which can be a useful tool to improve the quality of clinical endoscopy

Designing “Core–Shell” Insoluble‐SiW11Fe@δ‐Bi2O3 Z‐Scheme Heterojunction for Photo‐Driven Nitrogen Reduction Reaction and Evaluating the Impact of Oxygen toward Nitrogen Reduction

Abstract Photo‐driven nitrogen fixation is regarded as a promising sustainable strategy to generate low‐concentration NH3/NH4+. Insoluble SiW11Fe@δ‐Bi2O3 with “core–shell” structure and Z‐scheme featured heterojunction is constructed under solvothermal conditions. Chemisorption of nitrogen improves significantly due to increased oxygen vacancies on δ‐Bi2O3 as induced by insoluble SiW11Fe salt. Z‐scheme heterojunction is suggested according to energy diagram analyses and electron paramagnetic resonance spin‐trapping experiments, which can be well correlated to enhanced transient photocurrent and catalytic efficacy. [Ru(bpy)3]2+ counter ion in the composite acts as a photosensitizer, leading to improved light harvesting. These merits account for superior performance of Ru2.5SiW11Fe@δ‐Bi2O3. NH3/NH4+ production rate of 121 µmol gcat−1 h−1 is achieved under simulated sunlight irradiation in nitrogen atmosphere, but reduces on switching to air. The impact of oxygen over nitrogen reduction is investigated, and productions of both NH3/NH4+ and H2O2 are evaluated when using gas mixture feedstock with different V(N2):V(O2) ratios. The performance of nitrogen reduction depends mainly on its volume ratio in mixture feedstock, in addition to reduction capability of photocatalyst. By reducing the latter one appropriately, nitrogen reduction would be slightly favored when using air as feedstock