Recently, micro-video sharing platforms such as Kuaishou and Tiktok have become a major source of information for people's lives. Thanks to the large traffic volume, short video lifespan streaming fashion these services, it has more pressing improve existing recommender systems accommodate challenges in cost-effective way. In this paper, we propose novel concept-aware denoising graph neural network (named Conde) recommendation. Conde consists three-phase convolution process derive user...

Multi-behavior recommendation exploits auxiliary behaviors (e.g., view, cart) to help predict users' potential target behavior purchase) on a given item. However, existing works suffer from two issues: (1) They generally consider only single chain the behavior, referred as purchase view -> cart purchase), ignoring other valuable chains ->purchase) that are beneficial for performance. (2) Most studies presume interacted items in good recommendations, and pay little attention negative...

Recently, large-scale datasets have vastly facilitated the development in nearly all domains of Natural Language Processing. However, there is currently no cross-task dataset NLP, which hinders multi-task learning. We propose MATINF, first jointly labeled for classification, question answering and summarization. MATINF contains 1.07 million question-answer pairs with human-labeled categories user-generated descriptions. Based on such rich information, applicable three major NLP tasks,...

This paper is devoted to investigating a numerical scheme for solving the Caputo–Hadamard uncertain fractional differential equations (UFDEs) arising from nonlinear dynamic systems. In our approach, we define an α-path, which link between UFDE and equation inverse uncertainty distribution of UFDE. Then, formula calculating expected value studied. With help modified predictor–corrector method, some algorithms solution UFDEs are designed. Corresponding examples given confirm validity accuracy...

<abstract><p>Uncertain fractional differential equation (UFDE) is very suitable for describing the dynamic change in uncertain environments. In this paper, we consider European option pricing problem by applying Caputo-Hadamard UFDEs to simulate of stock price. First, an model with mean-reverting process studied, and formulas are given. Then, effect interference on bond considered, corresponding presented. Finally, some numerical examples given illustrate effectiveness...

Fiber-optic distributed acoustic sensor (DAS) has been applied to various large-scale infrastructure monitoring areas in smart cities, leading a new generation of fiber-optic Internet Things for ground listening. However, its single-source detection and recognition methods may fail unpredictable multi-source interfering environments urban. When an unknown number sources are nonlinearly mixed at the DAS's fiber receiver, it increases difficulty multiple source separation further. Therefore,...

Cache performance is an important factor in modern computing systems due to large memory access latency. To exploit the principle of spatial locality, a requested data set and its adjacent sets are often loaded from cache block simultaneously. However, definition strongly correlated with organization. Commodity two-dimensional structure two (row column) phases locate set. Therefore, neighbors linear order. In this paper, we propose novel organization dual-addressing modes as well orthogonal...

Cache performance is an important factor in modern computing systems due to large memory access latency. To exploit the principle of spatial locality, a requested data set and its adjacent sets are often loaded from cache block simultaneously. However, definition strongly correlated with organization. Commodity two-dimensional structure two (row column) phases locate set. Therefore, neighbors linear order. In this paper, we propose novel organization dual-addressing modes as well orthogonal...

We present methods to generate a Binary Decision Diagram (BDD) with minimum expected path length. A BDD is generic data structure which widely used in several fields. One important application the representation of Boolean functions. enables us evaluate function: Simply traverse from root node terminal and retrieve value node. For length will be also minimized evaluation time for corresponding function. Three efficient algorithms constructing BDDs are proposed.

This investigation intended to unravel the effect and mechanism of naringin on proliferation osteogenic differentiation human dental pulp stem cells (hDPSCs).hDPSCs were induced differentiate, degree cell was observed by alizarin red staining, Oil Red O Alcian blue staining. hDPSCs treated with 0, 20, 40, 80 μmol/L for 48 h, respectively. The rate chemotaxis measured MTT transwell assay, alkaline phosphatase (ALP) activity ALP staining gene expression markers qRT-PCR. Additionally, western...

To reconstruct high dynamic range (HDR) video from alternating exposed low (LDR) frames, the key is to address misalignment and imprecise fusion caused by information loss noise in ill-exposed regions. Following a coarse-to-fine manner, Multi-level Spatial-Temporal feature aggregation alignment-based Selective Residual Dense Propagation Network (MSTSRDPNet) proposed. The extracts spatial-temporal features aggregates them mitigate for fusion. module reconstructs aligned using channel...

The human voltage-gated sodium channel Na

Utilizing energy-time entangled biphotons as the resource, quantum two-way time transfer (Q-TWTT) has shown superior stability far below 1 picosecond level in numerous experimental demonstrations. In this article, we provide further insights into comparing method with classical based on intensity modulation-direct detection (IM-DD) regarding their signal-to-noise ratio (SNR) performance against backscattering noise long-distance fiber transmission. The exceptional SNR of Q-TWTT indicates its...

In previous laboratory preparation processes, the selection and proportioning of specific experimental parameters often stemmed from empirical experience predecessors, necessitating derivation optimal scheme for the...

Recently, large-scale datasets have vastly facilitated the development in nearly all domains of Natural Language Processing. However, there is currently no cross-task dataset NLP, which hinders multi-task learning. We propose MATINF, first jointly labeled for classification, question answering and summarization. MATINF contains 1.07 million question-answer pairs with human-labeled categories user-generated descriptions. Based on such rich information, applicable three major NLP tasks,...

This paper presents a hybrid compression method for scan-based testing. Four distinctive techniques, i.e. frequency-directed run-length codes (FDR), inverting FDR, option coding technique, and optimal selective Huffman code are selected of given test set. To lift the potential limit, we properly cluster scan cells to classify data as four subsets respectively, by majorities 0s, 1s, Xs, roughly equal number 0s 1s match specific properties techniques. Segments then, compressed technique that...

In the routing architecture of a structured ASIC, crossbar is one most area efficient switch blocks. Nevertheless, dangling-wire occurs when there bend in switch. The incurs longer wire length as well higher interconnection capacitance. this paper, we are motivated to tackle issues for ASIC. We first propose compact graph model routing. With our model, connectivity relations can be removed keep 2-D ASIC and speed up run-time algorithm. Furthermore, leverage state-of-the-art techniques into...

In this paper we primarily focus on modifying comparison theorems with strict and nonstrict inequalities for Caputo-Hadamard fractional differential equations (FDEs). First, point out that the proof of theorem FDEs in (Fractals 2019, 27(3), 1950036) is incorrect. And then, give a modified solutions order <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$p\in(0,1)$</tex> under inequalities, then extend...