An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Meeting the requirements of flexible electronic devices remains a challenge in achieving stable and highly conductive polyurethane composites (CPCs) with minimal loading PEDOT:PSS. In this study, PEDOT:PSS based CPCs were prepared using a novel method involving pore collapse of aerogels. Initially, polyurethane aerogels (PUAs) were synthesized with varying pore sizes ranging from 3.2μm to 9.1μm based on specific formula ratios. Subsequently, solvent evaporation at 120°C caused shrinkage and collapse of the PUAs' pore structure, resulting in the formation of a continuous conductive circuit composed of PEDOT:PSS in polyurethane elastomers (CAPPs) . CAPPs containing 1.53 wt% PEDOT:PSS exhibited remarkably high conductivity characteristics (1590 S/m). These CAPPs demonstrated excellent mechanical flexibility as they could withstand stretching, bending, and twisting without significant changes in resistance or affecting LED brightness. Moreover, they proved suitable for use as soft electrodes for electrocardiography (ECG) during exercise to monitor heart rate. This work presents an innovative approach for constructing highly conductive networks through pore collapse of aerogels and obtaining low-loading conductive polymers.
<p><span lang="AZ-LATIN">Tourist hotels (or tourist accommodations) are located near tourist attractions, primarily serving tourists. In recent years, with the gradual improvement of people’s living standards around the globe, tourists’ demands and standards for tourist hotel construction have been rising accordingly. In the context of technologization and informatization, various hotel booking platforms (Agoda, Booking, Trip, etc.) cover a large amount of review data in evaluating systems to reflect tourists’ demands. Meanwhile, identifying demand-oriented reviews and extracting core consumer demands from them is crucial for optimizing hotel services and enhancing tourist satisfaction. Therefore, this study explores the demands of tourists in tourist hotels from the perspective of text sentiment analysis and takes Macao, a famous tourist destination, as an example, based on reviews of tourist hotels on the Agoda site platform. Specifics are as follows: (1) Based on pointwise mutual information (PMI) and information entropy (IE), it realizes the identification of sentiment words in the field of tourist hotels and constructs a sentiment dictionary to address the problem of poor relevance between word segmentation results; (2) It summarizes the five types of reviews containing tourist demands (positive, negative, suggestion, demand, and comparison) and their characteristics to solve the ambiguity of texts and further accurately reveal the main demands of tourists; (3) It classifies tourist demands and group similar tourist demands into the same categories to address the problem of multiple expressions for the same demand. The present study provides empirical experiences from Macao’s hotels and contributes to the literature on text sentiment analysis in tourist hotels. Furthermore, the study results could enhance the mining accuracy and provide a detailed summarization of consumer demands and directions for the sustainable optimization improvement of tourist services.</span></p>
In this work, we revisit the adaptive L1 time-stepping scheme for solving the time-fractional Allen-Cahn equation in the Caputo's form. The L1 implicit scheme is shown to preserve a variational energy dissipation law on arbitrary nonuniform time meshes by using the recent discrete analysis tools, i.e., the discrete orthogonal convolution kernels and discrete complementary convolution kernels. Then the discrete embedding techniques and the fractional Grönwall inequality were applied to establish an $L^2$ norm error estimate on nonuniform time meshes. An adaptive time-stepping strategy according to the dynamical feature of the system is presented to capture the multi-scale behaviors and to improve the computational performance.
<p><span lang="AZ-LATIN">Tourist hotels (or tourist accommodations) are located near tourist attractions, primarily serving tourists. In recent years, with the gradual improvement of people’s living standards around the globe, tourists’ demands and standards for tourist hotel construction have been rising accordingly. In the context of technologization and informatization, various hotel booking platforms (Agoda, Booking, Trip, etc.) cover a large amount of review data in evaluating systems to reflect tourists’ demands. Meanwhile, identifying demand-oriented reviews and extracting core consumer demands from them is crucial for optimizing hotel services and enhancing tourist satisfaction. Therefore, this study explores the demands of tourists in tourist hotels from the perspective of text sentiment analysis and takes Macao, a famous tourist destination, as an example, based on reviews of tourist hotels on the Agoda site platform. Specifics are as follows: (1) Based on pointwise mutual information (PMI) and information entropy (IE), it realizes the identification of sentiment words in the field of tourist hotels and constructs a sentiment dictionary to address the problem of poor relevance between word segmentation results; (2) It summarizes the five types of reviews containing tourist demands (positive, negative, suggestion, demand, and comparison) and their characteristics to solve the ambiguity of texts and further accurately reveal the main demands of tourists; (3) It classifies tourist demands and group similar tourist demands into the same categories to address the problem of multiple expressions for the same demand. The present study provides empirical experiences from Macao’s hotels and contributes to the literature on text sentiment analysis in tourist hotels. Furthermore, the study results could enhance the mining accuracy and provide a detailed summarization of consumer demands and directions for the sustainable optimization improvement of tourist services.</span></p>
Abstract Meeting the requirements of flexible electronic devices remains a challenge in achieving stable and highly conductive polyurethane composites (CPCs) with minimal loading PEDOT:PSS. In this study, PEDOT:PSS based CPCs were prepared using a novel method involving pore collapse of aerogels. Initially, polyurethane aerogels (PUAs) were synthesized with varying pore sizes ranging from 3.2µm to 9.1µm based on specific formula ratios. Subsequently, solvent evaporation at 120°C caused shrinkage and collapse of the PUAs' pore structure, resulting in the formation of a continuous conductive circuit composed of PEDOT:PSS in polyurethane elastomers (CAPPs). CAPPs containing 1.53 wt% PEDOT:PSS exhibited remarkably high conductivity characteristics (1590 S/m). These CAPPs demonstrated excellent mechanical flexibility as they could withstand stretching, bending, and twisting without significant changes in resistance or affecting LED brightness. Moreover, they proved suitable for use as soft electrodes for electrocardiography (ECG) during exercise to monitor heart rate. This work presents an innovative approach for constructing highly conductive networks through pore collapse of aerogels and obtaining low-loading conductive polymers.
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