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Monitoring corporate credit risk (CCR) has traditionally relied on such indicators as income, debt and inventory at a company level. These data are usually released on a quarterly or annual basis by the target company and include, exclusively, the financial data of the target company. As a result of this exclusiveness, the models for monitoring credit risk usually fail to account for some significant information from different sources or channels, like the data of its supply chain partner companies and other closely relevant data yet available from public networks, and it is these seldom used data that can help unveil the immediate CCR changes and how the risk is being propagated along the supply chain. This study aims to discuss the a forementioned issues.

Going beyond the existing CCR prediction data, this study intends to address the impact of supply chain data and network activity data on CCR prediction, by integrating machine learning technology into the prediction to verify whether adding new data can improve the predictability.

The results show that the predictive errors of the datasets after adding supply chain data and network activity data to them are made the ever least. Moreover, intelligent algorithms like support vector machine (SVM), compared to traditionally used methods, are better at processing nonlinear datasets and mining complex relationships between multi-variable indicators for CCR evaluation.

This study indicates that bringing in more information of multiple data sources combined with intelligent algorithms can help companies prevent risk spillovers in the supply chain from causing harm to the company, and, as well, help customers evaluate the creditworthiness of the entity to lessen the risk of their investment.

This study aims to explore the effect of urban green space (UGS) on residents' subjective well-being (SWB) among different social groups.

Using national SWB and UGS data obtained from the China Urban Construction Statistical Yearbook and the Chinese General Social Survey, a multiple regression model was developed to estimate the effect of UGS on residents' SWB. Grouping regression for samples from distinct socioeconomic groups was performed to further discuss group-wise differences in SWB.

The green coverage rate of built-up areas and the number of parks accessed by every 10,000 individuals are significantly positively correlated with residents' SWB, whereas the green space area per capita and greening investment ratio are significantly negatively correlated with residents' SWB; the effect of UGS on residents' SWB varies among individuals with respect to gender, age, and income, with the most significant difference observed among groups with different incomes.

The empirical results of this study are expected to support the planning and construction of UGS by providing a reference for optimizing their service capabilities and highlighting their positive role in improving residents' SWB.

As the supply chain is a highly integrated infrastructure in modern business, the risks in supply chain are also becoming highly contagious among the target company. This motivates researchers to continuously add new features to the datasets for the credit risk prediction (CRP). However, adding new features can easily lead to missing of the data.

Based on the gaps summarized from the literature in CRP, this study first introduces the approaches to the building of datasets and the framing of the algorithmic models. Then, this study tests the interpolation effects of the algorithmic model in three artificial datasets with different missing rates and compares its predictability before and after the interpolation in a real dataset with the missing data in irregular time-series.

The algorithmic model of the time-decayed long short-term memory (TD-LSTM) proposed in this study can monitor the missing data in irregular time-series by capturing more and better time-series information, and interpolating the missing data efficiently. Moreover, the algorithmic model of Deep Neural Network can be used in the CRP for the datasets with the missing data in irregular time-series after the interpolation by the TD-LSTM.

This study fully validates the TD-LSTM interpolation effects and demonstrates that the predictability of the dataset after interpolation is improved. Accurate and timely CRP can undoubtedly assist a target company in avoiding losses. Identifying credit risks and taking preventive measures ahead of time, especially in the case of public emergencies, can help the company minimize losses.

This paper aims to investigate the photocatalytic activity of zinc doped MAO-TiO₂ films under the optimum MAO treatment condition.

The coating was prepared by micro arc oxidation, and the influence of doping on the properties of the coating was also investigated.

The results show that the BET surface area is 78.25±0.03m²/g, total pore area is 76.32 ± 0.04m²/g, and the total pore volume is 0.2135 ± 0.0004cm³/g. The degradation ratio of the film electrode with Zn-doped in methyl orange solution is up to 94%. When the react circles is 10 times, the degradation ratio is up to more than 85% and remains steady. With the different reaction conditions, these kinetics of the reactions show some different formulas.

A kinetic equation for photocatalytic activity is established.

The purpose of this paper is to examine a Chinese indigenous concept of organizational ownership behavior (OOB) as an aspect of employee suzhi in relation to organizational citizenship behavior (OCB) in the Western context.

A content analysis based on a review of related research in Western mainstream and Chinese domestic literature is conducted.

Suzhi at the organizational level can be linked to the construct of OCB. In Chinese organizations, a relevant concept to OCB can be better understood as OOB to capture the sociopolitical and cultural context unique to Chinese organizations. The dimensional structure of OOB is presented to differentiate it from OCB which is popular in the Western context.

The identified construct of OOB offers important implications for indigenous Chinese management research and human resources management (HRM) practice. OOB, based on Chinese management practice, can better conform to China’s unique historical and cultural context and management practices. This concept varies distinctively from Western OCB in terms of its connotation and dimensions.

The concept of OOB as an indigenous employee organizational behavior in the Chinese context is conceptualized. The paper differentiates the OOB construct from OCB and presents an initial set of six dimensions of OOB for future research.

With the yearly increase of mileage and passenger volume in China's high-speed railway, the problems of traditional paper railway tickets have become increasingly prominent, including complexity of business handling process, low efficiency of ticket inspection and high cost of usage and management. This paper aims to make extensive references to successful experiences of electronic ticket applications both domestically and internationally. The research on key technologies and system implementation of railway electronic ticket with Chinese characteristics has been carried out.

Research in key technologies is conducted including synchronization technique in distributed heterogeneous database system, the grid-oriented passenger service record (PSR) data storage model, efficient access to massive PSR data under high concurrency condition, the linkage between face recognition service platforms and various terminals in large scenarios, and two-factor authentication of the e-ticket identification code based on the key and the user identity information. Focusing on the key technologies and architecture the of existing ticketing system, multiple service resources are expanded and developed such as electronic ticket clusters, PSR clusters, face recognition clusters and electronic ticket identification code clusters.

The proportion of paper ticket printed has dropped to 20%, saving more than 2 billion tickets annually since the launch of the application of E-ticketing nationwide. The average time for passengers to pass through the automatic ticket gates has decreased from 3 seconds to 1.3 seconds, significantly improving the efficiency of passenger transport organization. Meanwhile, problems of paper ticket counterfeiting, reselling and loss have been generally eliminated.

E-ticketing has laid a technical foundation for the further development of railway passenger transport services in the direction of digitalization and intelligence.

With the development of the modern technology and aerospace industry, the noise pollution is remarkably affecting people’s daily life and has been become a serious issue. Therefore, it is the most important task to develop efficient sound attenuation barriers, especially for the low-frequency audible range. However, low-frequency sound attenuation is usually difficult to achieve for the constraints of the conventional mass-density law of sound transmission. The traditional acoustic materials are reasonably effective at high frequency range. This paper aims to discuss this issue.

Membrane-type local resonant acoustic metamaterial is an ideal low-frequency sound insulation material for its structure is simple and lightweight. In this paper, the finite element method is used to study the low-frequency sound insulation performances of the coupled-membrane type acoustic metamaterial (CMAM). It consists of two identical tensioned circular membranes with fixed boundary. The upper membrane is decorated by a rigid platelet attached to the center. The sublayer membrane is attached with two weights, a central rigid platelet and a concentric ring with inner radius e. The influences of the distribution and number of the attached mass, also asymmetric structure on the acoustic attenuation characteristics of the CMAM, are discussed.

In this paper, the acoustic performance of asymmetric coupled-membrane metamaterial structure is discussed. The influences of mass number, the symmetric and asymmetry structure on the sound insulation performance are analyzed. It is shown that increasing the number of mass attached on membrane, structure exhibits low-frequency and multi-frequency acoustic insulation phenomenon. Compared with the symmetrical structure, asymmetric structure shows the characteristics of lightweight and multi-frequency sound insulation, and the sound insulation performance can be tuned by adjusting the distribution mode and location of mass blocks.

Membrane-type local resonant acoustic metamaterial is an ideal low-frequency sound insulation material for its structure is simple and lightweight. How to effectively broaden the acoustic attenuation band at low frequency is still a problem. But most of researchers focus on symmetric structures. In this study, the asymmetric coupled-membrane acoustic metamaterial structure is examined. It is demonstrated that the asymmetric structure has better sound insulation performances than symmetric structure.

Membrane-type acoustic metamaterials (MAMs) recently have been emerged to display useful sound attenuation properties in a low-frequency regime. The purpose of this paper is to present an analytical approach to investigate the transmission loss (TL) of a square membrane-ring structure of MAM. The geometrical effects of ring mass on the TL peak and dip frequencies of the MAM are obtained and discussed.

In this paper, based on the wave propagation and vibration theory, considering the effects of ring mass and acoustic pressure on the membrane, an analytical model is presented to analyze acoustic response of MAM.

Multiple peak frequencies and wide bandwidth appear in the membrane-ring structure, and they can be tuned by changing the location or numbers of the ring mass on the membrane. It is a useful method for designing such type of metamaterial.

In this paper, an analytical method is presented to evaluate the effects of ring geometric on the TL performance of square membrane-type locally resonant metamaterial. It is proved that achieving broadband and multi-peak TL profile in a single cell can indeed happen by increasing additional ring mass. The TL and frequency bandwidth can be tuned by changing the location, adding numbers and varying mass distribution of the ring masses on the membrane.

Keberkesanan penyampaian sesuatu maklumat memerlukan individu, alat mahupun saluran yang unggul dan bersesuaian. Usaha ini haruslah dirancang dan dipertimbangkan dengan teliti oleh pihak tertentu agar setiap apa yang ingin disampaikan dan dilaksanakan itu dapat diberigakan dengan mudah dan berkesan. Dari itu, penggunaan bahasa retorik dilihat sebagai batu loncatan yang memberikan keyakinan dan tahap keberkesanan yang tinggi bagi sesebuah wacana yang disampaikan tersebut. Kewibawaan retorik sebagai seni yang mempengaruhi bukan sahaja berperanan untuk memperkukuhkan kekuasaan mahupun mempengaruhi fikiran dan emosi orang lain namun sebaliknya mampu menstimulasikan keseimbangan hubungan sosial yang terbentuk melalui sistem pemerintahan sesebuah negara. Melalui penyelidikan ini, setiap ciri khas retorik dapat diketengahkan dengan menghuraikan peranan dan fungsi-fungsi yang dimainkan oleh jenis-jenis retorik dalam penulisan sesebuah wacana. Hal ini khusus bagi mengilustrasikan idea, gagasan mahupun suatu fakta terhadap sesuatu pendekatan dengan cara yang kreatif dan terbaik. Di samping itu, keutamaan bagi penerapan bahasa retorik dalam perutusan kerajaan seharusnya dapat diperkasakan sewajarnya dengan menjadikannya sebagai anjakan paradigma ke arah perpaduan dan nilai kesaksamaan dalam masyarakat. Justeru, kajian ini memanfaatkan Teori Retorik Moden oleh Enos dan Brown (1993) sebagai landasan utama dalam menganalisis sejumlah 20 perutusan rasmi berkaitan jangkitan covid-19 di Negara Brunei Darussalam. Berdasarkan pemerhatian dan penganalisisan yang dijalankan, hanya empat jenis retorik yang diaplikasikan dalam wacana tersebut. Kesimpulan statistik merangkumi 34% teknik pendedahan, 30% teknik penerangan, 33% teknik pemujukan dan hanya 3% bagi teknik penghujahan. Dapatan penyelidikan ini membuktikan bahawa penggunaan bahasa retorik dalam perutusan rasmi kerajaan adalah amat penting dalam memperkukuhkan sistem pemerintahan negara serta mampu melestarikan cara hidup yang relevan dan berkualiti.

The effectiveness of delivering information requiresindividuals, tools or channels that are superior and appropriate. This effort must be planned and considered carefully so that everything that is to be conveyed and implemented can be conveyed easily and effectively. Therefore, the use of rhetorical language is regarded as a stepping stone that provides confidence and a higher level of effectiveness. `Rhetoric as an influential art not only plays a role in strengthening power or influencing the thoughts and emotions of others but also stimulate sthe balance of social relations. Through this research, each rhetorical feature is highlighted to discuss its role and functions in the discourse. Using Enos and Brown’s Modern Rhetorical Theory (1993), a total of 20 official conferences on the latest developments of the spread of covid-19 infection were discussed. Findings have shown that there were four main types of rhetoric, i.e. Statistical conclusions which include 34% of expository techniques, 30% of descriptive, 33% of persuasion and only 3% for argumentation techniques. This also implies that rhetoric language is very important in ensuring the dissemination of knowledge among the institution and people is effective and and transparent.

Nomex fabric is irradiated by an Xe₂ ^* excimer UV lamp (172 nm). The influence of different irradiating times and atmospheres (nitrogen and air) on the properties of Nomex fabric has been studied. The results show that the wettability of Nomex fabrics greatly improves when irradiated for 2 minutes. The scanning electron microscope (SEM) photos denote that the surface of the irradiated Nomex fiber is etched and the degree of etching in nitrogen is more severe than that in air. The XPS measurement proves that the surface of the Nomex fibers, which is irradiated in nitrogen and in air, generates carboxyl and hydroxyl groups. The results also show that the adhesive strength of the Nomex/polyethylene composite is reinforced by the irradiation.