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This case covers the framework and process to determine fair value as specified in International Financial Reporting Standards (IFRS) 13. It illustrates an instance in which auditors interpret the concept of fair value to be consistent with other principles in standards such as the principle of prudence in the conceptual framework. In addition, a lot of the discussion in the case is applicable to accounting education in any regulatory jurisdictions given the convergence of US generally accepted accounting principles (GAAP) and IFRS 13. In addition, while fair value accounting may have been designed to give investors more useful information, in practise it could involve highly subjective judgement and the resulting implementation may be affected by incentives of different stakeholders. The CK Tang’s case provides an excellent opportunity to discuss incentives of varies parties in determining the fair value in financial reporting decisions. In short, this case could be a good jumping-off point to talk about management and auditors’ incentives in financial reporting in general.

Publicly available information (e.g. financial reporting standards, corporate announcements and reports, news reports) was used as the basis for this case.

The case centres on an iconic Singaporean integrated retailing and property landlord entity: Tang holdings. As part of its succession planning, the company’s founding family decided to take its listing arm, C.K. Tang Limited (CK Tang hereafter), private in May 2006. The Tang brothers, who represented the controlling family, initiated several attempts to delist the company. The minority shareholders of CK Tang were unhappy that the offer price was below the net asset value of the company. The minority shareholders also highlighted that the reported fair value of the flagship Tang Plaza complex understated its highest and best use and might not possibly comply with International Financial Reporting Standards (IFRS) 13.

The case can be used for class discussions with undergraduate students or master students in intermediate accounting courses.

The study aims to expand the literature on evaluating the performance of professionals and academic libraries, rationalizing management and providing reliable services to the academic community. The performance assessment model covers the four components (management competence, professional experience, financial add/projects and library services) in the context of the knowledge management model.

Based on quantitative data, the study defines a set of assumptions for testing the four components of performance evaluation within a knowledge management framework to develop appropriate and robust models for improving employee performance and library services. The structural equation model has been applied to sample data from 339 administrative librarians at 190 universities in Pakistan.

Statistical evidence confirms that the applicability of the proposed performance-based model enhances management competence, makes accurate decisions, develops professional skills and strengthens human resource organization and knowledge management techniques in developing the efficiency of academic libraries.

In the long term, academic leaders and policymakers value investment in the professional development of top library management as they participate in the decision-making process. Organizing training for service employees, supporting innovative research projects and providing library technology infrastructures ultimately improve academic performance and research when integrated into the knowledge management model.

So far, comprehensive literature on performance and knowledge management has been published separately. However, based on the key data collected by senior library administrators using the structured research questionnaire, the comprehensive performance evaluation research based on a knowledge management model is innovative to improve academic library services and close the literature gap.

The purpose of this bibliometric analysis is to quantify the prominence and impact of published literature within the field. The research has been conducted with the intent of obtaining the expansion and characteristics of the literature on digital library.

More than 4,206 documents found in the period of 2002-2016 were collected from the ISI Web of Science and were analyzed to explore the annual productivity, yearly citation, most cited articles, prolific authors, eminent journals of the subject, productivity of institutes and contribution of countries. These results are based on the types of documents (articles, reviews, proceedings papers, book reviews, editorial materials and book chapters).

The core findings are that the most productive year of publication was 2016, and the growth of citation increased rapidly; the top source of title is electronic library. The result shows that the USA dominates in the research output, with Illinois University securing the first position; the most prolific author is Fourie I from South Africa. In the document types category, the most cited sources are research articles.

This research is useful for the researchers interested in the field of bibliometrics as it postulates an inclusive indication of provenance in the field of library and information science.

The purpose of this paper is to develop a new approach for rapid computation of subsonic and low-transonic rotary derivatives with the available steady solutions obtained by Euler computational fluid dynamics (CFD) codes.

The approach is achieved by the perturbation on the steady-state pressure of Euler CFD codes. The resulting perturbation relation is established at a reference Mach number between rotary derivatives and normal velocity on surface due to angular velocity. The solution of the reference Mach number is generated technically by Prandtl–Glauert compressibility correction based on any Mach number of interest under the assumption of simple strip theory. Rotary derivatives of any Mach number of interest are then inversely predicted by the Prandtl–Glauert rule based on the reference Mach number aforementioned.

The resulting method has been verified for three typical different cases of the Basic Finner Reference Projectile, the Standard Dynamics Model Aircraft and the Orion Crew Module. In comparison with the original perturbation method, the performance at subsonic and low-transonic Mach numbers has significantly improved with satisfactory accuracy for most design efforts.

The approach presented is verified to be an efficient way for computation of subsonic and low-transonic rotary derivatives, which are performed almost at the same time as an accounting solution of steady Euler equations.

Decision-making is always an issue that managers have to deal with. Keenly observing to different preferences of the targets provides useful information for decision-makers who do not require too much information to make decisions. The main purpose is to avoid decision-makers in a dilemma because of too much or opaque information. Based on problem-oriented, this research aims to help decision-makers to develop a macro-vision strategy that fits the needs of different clusters of customers in terms of their favorite restaurants. This research also focuses on providing the rules to rank data sets for decision-makers to make choices for their favorite restaurant.

When the decision-makers need to rethink a new strategic planning, they have to think about whether they want to retain or rebuild their relationship with the old consumers or continue to care for new customers. Furthermore, many of the lecturers show that the relative concept will be more effective than the absolute one. Therefore, based on rough set theory, this research proposes an algorithm of related concepts and sends questionnaires to verify the efficiency of the algorithm.

By feeding the relative order of calculating the ranking rules, we find that it will be more efficient to deal with the faced problems.

The algorithm proposed in this research is applied to the ranking data of food. This research proves that the algorithm is practical and has the potential to reveal important patterns in the data set.

The purpose of this paper is to explore gas/liquid two-phase flow is widely existed in industrial fields, especially in chemical engineering. Electrical resistance tomography (ERT) is considered to be one of the most promising techniques to monitor the transient flow process because of its advantages such as fast respond speed and cross-section imaging. However, maintaining high resolution in space together with low cost is still challenging for two-phase flow imaging because of the ill-conditioning of ERT inverse problem.

In this paper, a sparse reconstruction (SR) method based on the learned dictionary has been proposed for ERT, to accurately monitor the transient flow process of gas/liquid two-phase flow in a pipeline. The high-level representation of the conductivity distributions for typical flow regimes can be extracted based on denoising the deep extreme learning machine (DDELM) model, which is used as prior information for dictionary learning.

The results from simulation and dynamic experiments indicate that the proposed algorithm efficiently improves the quality of reconstructed images as compared to some typical algorithms such as Landweber and SR-discrete fourier transformation/discrete cosine transformation. Furthermore, the SR-DDELM has also used to estimate the important parameters of the chemical process, a case in point is the volume flow rate. Therefore, the SR-DDELM is considered an ideal candidate for online monitor the gas/liquid two-phase flow.

This paper fulfills a novel approach to effectively monitor the gas/liquid two-phase flow in pipelines. One deep learning model and one adaptive dictionary are trained via the same prior conductivity, respectively. The model is used to extract high-level representation. The dictionary is used to represent the features of the flow process. SR and extraction of high-level representation are performed iteratively. The new method can obviously improve the monitoring accuracy and save calculation time.

As the human race moved from the Paleolithic to the current phases of the Neolithic period, the learning process developed from inscriptions on stones to clay tablets, from papyrus to papers and, ultimately, to digital technology. From ancient times to the present, public libraries have become open universities that are more democratic in the provision of educational and information services and the preservation of cultural heritage, regardless of gender and belief. This study attempts to understand reading trends and the use of citizens’ resources in public libraries in the age of technology as an open university.

The data for this study on regular visitors, permanent library members, and information on the library inventory was collected from each public library administration through personal visits and interviews. In addition, data on regional population and literacy rates were collected from the Government of the Khyber Pakhtunkhwa Provincial Bureau of Statistics. The authors used descriptive statistics to analyze data for comparative studies.

The results show that daily visitors, regular library members and their use of library resources are decreasing compared to the literacy rate in each district. It was also concluded that, due to a lack of education and training in the area of information and digital literacy, the accessed database resources are not used properly. Moreover, each densely populated district relies on a single public library to meet general education and information needs.

The results of this study will help the government expand the network of public libraries at the union council level with competent working staff to increase general motivation to improve reading and resource usage trends. Given the current literacy and population growth in each district, the law on the public library can also be amended and implemented to support the existing library system better and create more libraries in the public interest.

This study was conducted for the first time to determine the current state of public libraries in Khyber Pakhtunkhwa and to help public library authorities improve their existing public library service status based on the results.

The paper research objectives are: to investigate into the classification of special interest tour preferences in terms of their types and to compare whether consumers with different demographic attributes result in discrepancies in special interest tour preferences.

Those collected questionnaires that had incomplete answers and that had a significant response tendency or were left blank with no answers were eliminated. The required statistical methods are explained thus: this study conducts analysis on special interest tour preferences by factor analysis to distinguish between the categories of special interest tour preferences; this study adopts correlation analysis to examine the ratio scale of the study's demographic variables, including age and education level; this study adopts one‐way ANOVA to examine the variables of categorical or nominal scale, such as gender, marital status, and occupation.

After collecting the questionnaire data, factor analysis is used to conduct classification of the types and a total of four types emerged: recreation type, nature/ecology type, physical adventure type, historical/artistic activity type. Furthermore, in the verification of the demographic variables of each type preferences: age and nature‐eco type preferences constitute a significant positive correlation, and age has also formed a significant negative correlation with physical adventure type; gender differences result in a significant difference in recreation type preferences and a significant difference in physical adventure type preferences; marital status has a significant variation regarding physical adventure preferences.

Special interest tours are gradually on the rise and the previous literature is still lacking a systematic method for investigative analysis. Accordingly, conducting a systematic categorization of special interest tour preferences and to examining the background of the consumers of each type of special interest tour preference is essential.

The necessity for special interest tours to conform to consumer interests, and the existence of special interests, require that those in the travel industry conduct market segmentation, prior to designing travel itineraries, so as to have an understanding of the target market. Furthermore, the types of special interest tour preference this study provides can offer the basis for discussion of relevant issues for those travel business industry operators in the industry and future researchers.

This research aims to treat voluntary simplicity lifestyle (VSL) as general lifestyle and explore the correlation between VSL and selection preference of special interest tourism (SIT).

This research adopts a questionnaire survey. The content of the questionnaire include questions on participants' demographic variables, VSL, and selection preference of SIT. After designing the questionnaire of selection preference of SIT, this research treats the tourists in the Taiwan Guandu bird‐watching area as the targets and distributes the questionnaires. This research adopts systematic sampling for questionnaire distribution.

The following results are found: a positive correlation between selection preference of SIT and VSL; females are mostly allocated as the recreation and entertainment type people preferring SIT, the educational level of diverse interest type people preferring SIT tend to be higher, and these people have a more significant VSL; people who are the low degree of identification type with voluntary simplicity reveal almost the least scores in terms of all kinds of traveling preference, whereas complete involvement type individuals show a higher degree of preference.

This questionnaire is not exclusive. In other words, the respondents can provide extremely high, medium, or low scores for the preference for any kind of trips. Thus, the respondents' real preference sequence cannot be distinguished. Future studies can modify this questionnaire. The questionnaire of selection preference of SIT designed by this research mainly followed the SIT itineraries promoted on traveling websites and upon certain processes. Thus, this questionnaire content is based on the view of the supply end.

This research follows the suggestions of McKercher and Chan, and after internet searching, the method imitates content analysis to establish a questionnaire with 18 questions with respect to the selection preference of SIT. Through factor analysis, the researchers select four kinds of selection preference of SIT, including traveling preference of recreation and entertainment, natural ecology, physical exploration, and history and art. In addition, this research also uses confirmatory factor analysis to confirm the convergent validity of the VSL questionnaire developed by the authors (2005).

The purpose of this paper is to present a novel nitrile butadiene rubber (NBR) packaging structure, which can solve the problems of the low sensitivity, narrow frequency band and fluctuating frequency response curve of the MEMS bionic vector hydrophone.

A 0.05-mm-thick NBR sound-transparent cap was designed by theoretical analysis and simulation to reduce the signal attenuation caused by the packaging structure, and the frequency band of the hydrophone has been extended to 4 kHz. In this work, the vector hydrophone was fabricated by the MEMS technology and packaged with the NBR sound-transparent cap. The performance indicators were calibrated in the National Defence Underwater Acoustics Calibration Laboratory of China.

The results show that the sensitivity of NBR-packaged hydrophone reaches −170 dB (±2 dB), and the difference is less than 1 dB compared to bare chip. And the frequency band is 50 Hz-4 kHz. The hydrophone also has good directional pattern in the form of an 8-shape, and the pressure-resisting ability is more than 2 MPa.

The packaging structure significantly increases the sensitivity of the hydrophone and broadens the frequency band, providing a new method in the packaging design for MEMS hydrophone.