Abstract Calix[4]pyrrole‐based porous organic polymers ( P1 – P3 ) for removing micropollutants from water were prepared. A bowl‐shaped α,α,α,α‐tetraalkynyl calix[4]pyrrole and diketopyrrolopyrrole monomer crosslinked via Sonogashira coupling to produce a 3D network polymer, P1. proved too hydrophobic use as an adsorbent was converted the corresponding neutral polymer P2 (containing carboxylic acid groups) its anionic derivative carboxylate anion groups). Anionic outperformed in screening...

Remote photoplethysmography (rPPG) technology is widely used to measure heart rate (HR) from facial video. However, the accuracy of rPPG signal extraction affected by slow content changes in long-range videos, and process also susceptible interference illumination variation head movement noise. To address above problems, this article, we propose an end-to-end effective time-domain attention network (ETA-rPPGNet). First, order overcome video redundancy information, construct segment subnet....

A considerable amount of research work has been done for facial expression recognition using local or global feature extraction methods. Weber Local Descriptor (WLD), a simple and robust image descriptor, is recently developed extraction. In recognition, the information contained in important result. The Histograms Oriented Gradients (HOG) can well describe area gradient orientation density distribution edge. order to solve lack contour shape only by WLD features extract more efficiently, we...

Comprehensive and effective safety risk identification in metro construction has a significant impact on management. Although previous studies attempted to obtain final ranking of the factors using various methods, they did not consider real-time identification. To address complex issues involved, model was established identify possible risks among many potential real time, considering uncertain environment adjacent buildings/structures. The study made decisions regarding weights criteria at...

In order to solve the problems of highly redundant spatial information and motion noise in heart rate (HR) estimation from facial videos based on remote photoplethysmography (rPPG), this article proposes a novel HR method spatial–temporal attention model. First, reduce strengthen association relationships long-range videos, features are extracted by 2-D convolutional neural network (2DCNN) 3-D (3DCNN), respectively. The aggregation function is adopted incorporate feature maps into short...

Remote photoplethysmography (rPPG) based on the computer vision technology is widely used to calculate heart rate (HR) from facial videos. Existing rPPG techniques have been subject some limitations [e.g., highly redundant spatial information, head movement noise, and region of interest (ROI) selection]. To address these limitations, this article introduces an effective spatial-temporal attention network. A temporal fusion module first proposed fully exploit time-domain aiming reduce video...

Local feature descriptors play a fundamental and important role in facial expression recognition. This paper presents new descriptor, Center-Symmetric Signal Magnitude Pattern (CS-LSMP), which is used for extracting texture features from images. CS-LSMP operator takes signal magnitude information of local regions into account compared to conventional LBP-based operators. Additionally, due the limitation single extraction method order make full advantages different features, this employs...

Continuous dimensional emotion recognition for facial video sequence is a crucial and challenging task in Affective Computing Human-Computer Intelligent Interaction. The key of this to effectively extract discriminate spatial-temporal features more fine-grained way. In paper, Two-Stage Spatiotemporal Attention Temporal Convolution Network (TS-SATCN) designed continuous videos. first stage generates an initial result that later fed into the second correction. each stage, introduced...

We report a diketopyrrolopyrrole-based fluorescent probe <bold>DPP-Mito</bold>, which is low toxicity and mitochondrial-specific localization could monitor the changes in intracellular Zn²⁺ concentrations.

In the field of facial expression recognition, deep learning is extensively used. However, insufficient and unbalanced training data in available public databases a major challenge for improving recognition rate. Generative Adversarial Networks (GANs) can produce more one-to-one faces with different expressions, which be used to enhance databases. StarGAN perform one-to-many translations multiple expressions. Compared original GANs, increase efficiency sample generation. Nevertheless, there...

Existing facial expression recognition methods have some drawbacks. For example, it becomes difficult for network learning on cross-dataset expressions, multi-region an image did not extract the overall information, and a frequency multiplication take into account inter-class intra-class features in classification. In order to deal with above problems, our current research, we raise symmetric mode diversity features, then propose triple-structure model based upon MobileNet V1, which is...

A local feature descriptor has gained a lot of interest in many applications, such as image retrieval, texture classification, and face recognition. This paper proposes novel descriptor: center-symmetric octonary pattern (CS-LOP) for facial expression CS-LOP operator not only considers the difference gray value between central pixels neighboring all eight directions but also compares four pairs pixels. Besides, this used to extract diverse features from preprocessed image, map gradient...

Low molecular weight heparins are complex polycomponent drugs that have recently become amenable to top-down analysis using liquid chromatography-mass spectrometry. Even open source deconvolution software, DeconTools, and automatic structural assignment GlycReSoft, the comparison of two or more low is extremely time-consuming, taking about a week for an expert analyst provides no guarantee accuracy. Efficient data processing tools required improve analysis. This study uses programming...

Remote photoplethysmography (rPPG) using a simple consumer-level webcam has great potential for healthcare, human-computer interaction, affective computing, and many other fields. However, traditional methods based on the skin reflection model signal processing achieved limited success. Thus, this paper presents novel end-to-end spatial-temporal convolutional neural network rPPG recovering task: To preserve details, pooling layer is moved to branch network, attention mechanism used enhance...

Abstract Calix[4]pyrrole‐based porous organic polymers ( P1 – P3 ) for removing micropollutants from water were prepared. A bowl‐shaped α,α,α,α‐tetraalkynyl calix[4]pyrrole and diketopyrrolopyrrole monomer crosslinked via Sonogashira coupling to produce a 3D network polymer, P1. proved too hydrophobic use as an adsorbent was converted the corresponding neutral polymer P2 (containing carboxylic acid groups) its anionic derivative carboxylate anion groups). Anionic outperformed in screening...