Tourism Officials Turn to Social Media

Recent years have seen a growing number of local officials choosing to promote their areas as influencers In the digital age,online celebrities attract public attention and influence followers more easily on issues such as what to buy and where to go.The latest trend spreading among civil servants:becoming social media influencers to promote their hometowns.

Low-Rank Optimal Transport for Robust Domain Adaptation

When encountering the distribution shift between the source(training) and target(test) domains, domain adaptation attempts to adjust the classifiers to be capable of dealing with different domains. Previous domain adaptation research has achieved a lot of success both in theory and practice under the assumption that all the examples in the source domain are welllabeled and of high quality. However, the methods consistently lose robustness in noisy settings where data from the source domain have corrupted labels or features which is common in reality. Therefore, robust domain adaptation has been introduced to deal with such problems. In this paper, we attempt to solve two interrelated problems with robust domain adaptation:distribution shift across domains and sample noises of the source domain. To disentangle these challenges, an optimal transport approach with low-rank constraints is applied to guide the domain adaptation model training process to avoid noisy information influence. For the domain shift problem, the optimal transport mechanism can learn the joint data representations between the source and target domains using a measurement of discrepancy and preserve the discriminative information. The rank constraint on the transport matrix can help recover the corrupted subspace structures and eliminate the noise to some extent when dealing with corrupted source data. The solution to this relaxed and regularized optimal transport framework is a convex optimization problem that can be solved using the Augmented Lagrange Multiplier method, whose convergence can be mathematically proved. The effectiveness of the proposed method is evaluated through extensive experiments on both synthetic and real-world datasets.

Low-Rank Multi-View Subspace Clustering Based on Sparse Regularization

Multi-view Subspace Clustering (MVSC) emerges as an advanced clustering method, designed to integrate diverse views to uncover a common subspace, enhancing the accuracy and robustness of clustering results. The significance of low-rank prior in MVSC is emphasized, highlighting its role in capturing the global data structure across views for improved performance. However, it faces challenges with outlier sensitivity due to its reliance on the Frobenius norm for error measurement. Addressing this, our paper proposes a Low-Rank Multi-view Subspace Clustering Based on Sparse Regularization (LMVSC- Sparse) approach. Sparse regularization helps in selecting the most relevant features or views for clustering while ignoring irrelevant or noisy ones. This leads to a more efficient and effective representation of the data, improving the clustering accuracy and robustness, especially in the presence of outliers or noisy data. By incorporating sparse regularization, LMVSC-Sparse can effectively handle outlier sensitivity, which is a common challenge in traditional MVSC methods relying solely on low-rank priors. Then Alternating Direction Method of Multipliers (ADMM) algorithm is employed to solve the proposed optimization problems. Our comprehensive experiments demonstrate the efficiency and effectiveness of LMVSC-Sparse, offering a robust alternative to traditional MVSC methods.

Robust Principal Component Analysis Integrating Sparse and Low-Rank Priors

Principal Component Analysis (PCA) is a widely used technique for data analysis and dimensionality reduction, but its sensitivity to feature scale and outliers limits its applicability. Robust Principal Component Analysis (RPCA) addresses these limitations by decomposing data into a low-rank matrix capturing the underlying structure and a sparse matrix identifying outliers, enhancing robustness against noise and outliers. This paper introduces a novel RPCA variant, Robust PCA Integrating Sparse and Low-rank Priors (RPCA-SL). Each prior targets a specific aspect of the data’s underlying structure and their combination allows for a more nuanced and accurate separation of the main data components from outliers and noise. Then RPCA-SL is solved by employing a proximal gradient algorithm for improved anomaly detection and data decomposition. Experimental results on simulation and real data demonstrate significant advancements.

Multi-Modal Medical Image Fusion Based on Improved Parameter Adaptive PCNN and Latent Low-Rank Representation

Multimodal medical image fusion can help physicians provide more accurate treatment plans for patients,as unimodal images provide limited valid information.To address the insufficient ability of traditional medical image fusion solutions to protect image details and significant information,a new multimodality medical image fusion method(NSST-PAPCNNLatLRR)is proposed in this paper.Firstly,the high and low-frequency sub-band coefficients are obtained by decomposing the source image using NSST.Then,the latent low-rank representation algorithm is used to process the low-frequency sub-band coefficients;An improved PAPCNN algorithm is also proposed for the fusion of high-frequency sub-band coefficients.The improved PAPCNN model was based on the automatic setting of the parameters,and the optimal method was configured for the time decay factor ae.The experimental results show that,in comparison with the five mainstream fusion algorithms,the new algorithm has significantly improved the visual effect over the comparison algorithm,enhanced the ability to characterize important information in images,and further improved the ability to protect the detailed information;the new algorithm has achieved at least four firsts in sixobjectiveindexes.

A Perturbation Analysis of Low-Rank Matrix Recovery by Schatten p-Minimization

A number of previous papers have studied the problem of recovering low-rank matrices with noise, further combining the noisy and perturbed cases, we propose a nonconvex Schatten p-norm minimization method to deal with the recovery of fully perturbed low-rank matrices. By utilizing the p-null space property (p-NSP) and the p-restricted isometry property (p-RIP) of the matrix, sufficient conditions to ensure that the stable and accurate reconstruction for low-rank matrix in the case of full perturbation are derived, and two upper bound recovery error estimation ns are given. These estimations are characterized by two vital aspects, one involving the best r-approximation error and the other concerning the overall noise. Specifically, this paper obtains two new error upper bounds based on the fact that p-RIP and p-NSP are able to recover accurately and stably low-rank matrix, and to some extent improve the conditions corresponding to RIP.

Two exact first-order k-space formulations for low-rank viscoacoustic wave propagation on staggered grids

Wave propagation in the viscoacoustic media is physically dispersive and dissipated.Completely excluding the numerical dispersion error from the physical dispersion in the viscoacoustic wave simu-lation is indispensable to understanding the intrinsic property of the wave propagation in attenuated media for the petroleum exploration geophysics.In recent years,a viscoacoustic wave equation char-acterized by fractional Laplacian gains wide attention in geophysical community.However,the first-order form of the viscoacoustic wave equation,often solved by the conventional staggered-grid pseu-dospectral method,suffers from the numerical dispersion error in time due to the low-order finite-difference approximation.It is challenging to completely eliminate the error because the viscoacoustic wave equation contains two temporal derivatives,which stem from the time stepping and the amplitude attenuation terms,respectively.To tackle the issue,we derive two exact first-order k-space viscoacoustic formulations that can fully exclude the numerical error from the physical dispersion.For the homoge-neous case,two formulations agree with the viscoacoustic analytical solution very well and have the same efficiency.For the heterogeneous case,our second k-space formulation is more efficient than the first one because the second formulation significantly reduces the number of the wavenumber-space mixed-domain operators,which are the expensive part of the viscoacoustic k-space simulation.Nu-merical cases validate that the two first-order k-space formulations are effective and efficient alternatives to the current staggered-grid pseudospectral formulation for the viscoacoustic wave simulation.

FUZZY SYNTHETICAL EVALUATION ON THE GOVERNMENT OFFICIALS’ CONSCIOUSNESS ON THE IPE BASIS

Government policy is the key to the development of the individual and private economy (IPE).In the making of a policy, the social consciousness of government officials is one of the important factors to affect the policy made. Since the social consciousness on the development of IPE varies from person to person, it is conventionally indefinite and fuzzy. This paper applies fuzzy sets to analyse the government officials’ social consciousness on the IPE basis.

Synergistic effects of dodecane-castor oil acid mixture on the flotation responses of low-rank coal:A combined simulation and experimental study

The utilization of an appropriate collector or surfactant is crucial for the beneficiation of low-rank coal.However,in previous studies,the selection of surfactants was primarily based on flotation procedures,which hinders the understanding of the interaction mechanism between surfactant groups and oxygen-containing functional groups at the surface of low-rank coal.In this study,we investigate the flotation of low-rank coal in the presence of a composite collector by using a combined theoretical and experimental approach.The maximum flotation mass recovery achieved was 82.89%using a 3:1 mixture of dodecane and castor oil acid.Fourier-transform infrared and X-ray photoelectron spectroscopic analyses showed that castor oil acid was effectively adsorbed onto the surface of low-rank coal,enhancing the hydrophobicity of the coal.In addition,the diffusion coefficient of water molecules in the water-composite collector-coal system was greater than that in the dodecane system.Moreover,due to the presence of castor oil acid in the flotation process,the adsorption distance of dodecane and low-rank coal became shorter.Molecular dynamics simulations revealed that the diffusion and interaction of surfactant molecules at the interface of low-rank coal particles and water was enhanced because the adsorption of the dodecane-castor oil acid mixture is primarily controlled by hydrogen bonds and electrostatic attraction.Based on these results,a better surfactant for flotation of low-rank coal is also proposed.

Research on the Achievement Motivation of the University Student Village Officials in the Suburbs of Beijing

[Objective] The aim was to explore the achievement motivation of the university student village officials in the suburbs of Beijing.[Method] The research made an investigation on 429 university student village officials in the suburbs of Beijing by the Achievements Motive Scale(AMS).[Result] The achievement motivation of these student village officials was not on a high level,but they tended to pursue the success motivation rather than the motivation to avoid failures obviously.There was a significant difference in the achievement motivation between different genders,majors and jobs.The males' motivation for success was higher than the females'.The motivation of avoiding failures among officials in Humanities was higher than in Science and in Fine Art.And the university student village officials in professional and technical posts or in business posts rated the motivation to avoid failures more important than in basic management posts.But achievement motivations in different urban-rural areas,educational levels,political backgrounds,whether student leaders or not,and durations were no definite differences.Besides,it had a significant effect on these student village officials' achievement motivation whether advices and suggestions were accepted;if yes,the motivation was higher.[Conclusion] This study had provided stability and development for building rural talent groups.

New Institutional Mechanism in China Facilitating the Global Sustainability——Environment to Be Counted in Officials' Performance Rating

Having argued the importance of China's sustainable development in global sustainability, the authors review the achievements of China in sustainable development, especially its institutional construction. Environment to be counted in official's political performance rating system is thought of as a new institutional mechanism in China facilitating its sustainable development and then global sustainability. Then its significance is narrated and visions in future are envisioned. In the end, certain concrete suggestions for the rating system are given in a practical way.

Attitudes, knowledge levels and behaviors of Islamic religious officials about organ donation in Turkey: National survey study

BACKGROUND The most important factors affecting the decision of organ donation are socioeconomic,educational,cultural,and religious factors.AIM To evaluate Islamic religious officials’attitudes and behaviors toward and level of knowledge on organ donation and transplantation.METHODS This study surveyed 2350 Islamic religious officials in Turkey.To ensure a representative sample,we used and modified the Nomenclature of Territorial Units for Statistics.Based on the Nomenclature of Territorial Units for Statistics-II,Turkey was divided into 26 regions.The number of Islamic religious officials in each city and town in each of the 26 regions was proportionate to the population.A stratified sampling method based on demographic factors,such as age,marital status,and educational level,was used.Data were collected by PRP Research and Consultancy Company using computer-assisted personal interviewing.RESULTS Of the 2350 religious officials surveyed,59.9%were in the age group of 35-54 years;84.7%had either a bachelor’s or a master’s degree;99.7%never donated an organ;and 75.4%were not considering donating in the future.About 22%of the religious officials said religious belief was their reason for not donating;45.3%did not indicate any reason.Although 41.5%of participants considered cadaveric organ donation as the best source of organ transplantation,36.3%deemed living donor transplantation as the best option.Meanwhile,52.9%of participants considered donating an organ from a brain dead relative in case they were asked for permission;80.1%considered donating to a relative,if necessary;81.6%considered undergoing organ transplantation,if necessary.About 83.7%of participants deemed organ donation as a proper human behavior;60.5%believed that it is allowed by Islam;55%said they preach for organ donation at their mosque;and 41.1%said their views of organ donation were influenced by their leaders in society.CONCLUSION Religious officials are unsure whether or not organ donation is respectful of their religious belief,but they consider donating an organ if a relative need to undergo organ transplantation.

Asian and African Officials’ Views on China’s 40 Years of Reform and Opening-up

China’s reform and opening-up policy,which started in 1978,has become more effective.The success of reform and opening-up has transformed China from a low-income country to one of the world’s largest economies today.In my view,the success of China’s development lies in the country greatly reducing the number of people living in poverty.According to the World Bank,hundreds of millions of Chinese people have been lifted out of

Toward Sustainable Agriculture Senior African officials familiarize themselves with China’s sustainable approach to agriculture

Shouyang County in north China’s Shanxi Province is famous for its fruits. Every autumn, thousands of people flock to local orchards to pick pears, which are famous for their sweetness and juiciness.However, this year, Shouyang received a special group:10 agricultural officials and experts from African countries.

CNPC Highly Praised bySudanese Top Officials

SudanpossessesahundantpotroleumresourcesandthedevelopmentofPetroleumhasbeenalong-standingtimedreamforthecountry.Inspiteof40yearsofexplorationbyanumberofcompaniesfromothercountries,thecountrywasnotyetabletoestablishitsownpetroleumindustry.Onethirdofit...

A Special Date with the U.S.Officials...

Dear Readers, Recently I had the great honor to meet Under Secretary of State for Public Diplomacy Ms．Karen Hughes,and Public Di- plomacy Envoy Ms．Michelle Kwan(关颖姗)during their visit to Guangzhou in late January this year．I was even more thrilled to show our Crazy English Teens magazine to such distin- guished guests．Ms．Hughes and Ms．Kwan were visibly im- pressed by the cover and the enjoyable entertainment

American Burn Delegation Talking with the Officials of the Public Health Ministry of the People's Republic of China

(The officials from the Public Health Ministry who received the American Burn Delegation are:XiaoZiren.director of the Scientific and Technological Bureau of PHM;Oin Xinhua.deputy director of the Bu-reau;Li Fumin.deputy director of Medication Regulatory Bureau of PHM:Wang Xiufeng.chief ofAchievements Section of the Scientific and Technological Bureau and others)

Human Rights Training for Officials

The 9th workshop on human rights held by the State Council Information Office （SCIO） opened in Nanjing, in east China＇s Jiangsu Province, on August 23. More than 60 officials from across the country and central government agencies par- ticipated in the training course, which lasted four days. SCIO Vice Minister Dong Yunhu attended the opening cer- emony and gave a speech.