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The purpose of this paper is to provide the historical background of genealogical records and analyze the value of Chinese genealogical research through the study of names and genealogical resources.

The paper examines the historical evolution and value of Chinese genealogical records, with the focus on researching the Islamic Chinese names used by the people living in Guilin. The highlight of this paper includes the analysis and evolution of the Islamic Chinese names commonly adopted by the local people in Guilin. It concludes with the recommendations on emphasizing and making the best use of genealogical records to enhance the research value of Chinese overseas studies.

The paper covers the history of Islam and describes how the religion was introduced into China, as well as Muslims' ethnicity and identity. It also places focus on the importance of building a research collection in Asian history and Chinese genealogy.

This research study has a strong subject focus on Chinese genealogy, Asian history, and Islamic Chinese surnames. It is a narrow field that few researchers have delved into.

The results of this study will assist students, researchers, and the general public in tracing the origin of their surnames and developing their interest in the social and historical value of Chinese local history and genealogies.

The study of Chinese surnames is, by itself, a particular field for researching the social and political implications of contemporary Chinese society during the time the family members lived.

Very little research has been done in the area of Chinese local history and genealogy. The paper would be of value to researchers such as historians, sociologists, ethnologists and archaeologists, as well as students and anyone interested in researching a surname origin, its history and evolution.

This paper aims to propose a new adaptive strategy for two-dimensional (2D) nonlinear finite element (FE) analysis of the minimal surface problem (MSP) based on the element energy projection (EEP) technique.

By linearizing nonlinear problems into a series of linear problems via the Newton method, the EEP technique, which is an effective and reliable point-wise super-convergent displacement recovery strategy for linear FE analysis, can be directly incorporated into the solution procedure. Accordingly, a posteriori error estimate in maximum norm was established and an adaptive 2D nonlinear FE strategy of h-version mesh refinement was developed.

Three classical known surfaces, including a singularity problem, were analysed. Moreover, an example whose analytic solution is unavailable was considered and a comparison was made between present results and those computed by the MATLAB PDE toolbox. The results show that the adaptively-generated meshes reflect the difficulties inherent in the problems and the proposed adaptive analysis can produce FE solutions satisfying the user-preset error tolerance in maximum norm with a fair adaptive convergence rate.

The EEP technique for linear FE analysis was extended to the nonlinear procedure of MSP and can be expected to apply to other 2D nonlinear problems. The employment of the maximum norm makes point-wisely error control on the sought surfaces possible and makes the proposed method distinguished from other adaptive FE analyses.

This study aims to propose a general and efficient adaptive strategy with local mesh refinement for two-dimensional (2D) finite element (FE) analysis based on the element energy projection (EEP) technique.

In view of the inflexibility of the existing global dimension-by-dimension (D-by-D) recovery method via EEP technique, in which displacements are recovered through element strips, an improved element D-by-D recovery strategy was proposed, which enables the EEP recovery of super-convergent displacements to be implemented mostly on a single element. Accordingly, a posteriori error estimate in maximum norm was established and an EEP-based adaptive FE strategy of h-version with local mesh refinement was developed.

Representative numerical examples, including stress concentration and singularity problems, were analyzed; the results of which show that the adaptively generated meshes reasonably reflect the local difficulties inherent in the physical problems and the proposed adaptive analysis can produce FE displacement solutions satisfying the user-specified tolerances in maximum norm with an almost optimal adaptive convergence rate.

The proposed element D-by-D recovery method is a more efficient and flexible displacement recovery method, which is implemented mostly on a single element. The EEP-based adaptive FE analysis can produce displacement solutions satisfying the specified tolerances in maximum norm with an almost optimal convergence rate and thus can be expected to apply to other 2D problems.

The purpose of this paper is to present a numerically adaptive finite element (FE) method for accurate, efficient and reliable eigensolutions of regular second- and fourth-order Sturm–Liouville (SL) problems with variable coefficients.

After the conventional FE solution for an eigenpair (i.e. eigenvalue and eigenfunction) of a particular order has been obtained on a given mesh, a novel strategy is introduced, in which the FE solution of the eigenproblem is equivalently viewed as the FE solution of an associated linear problem. This strategy allows the element energy projection (EEP) technique for linear problems to calculate the super-convergent FE solutions for eigenfunctions anywhere on any element. These EEP super-convergent solutions are used to estimate the FE solution errors and to guide mesh refinements, until the accuracy matches user-preset error tolerance on both eigenvalues and eigenfunctions.

Numerical results for a number of representative and challenging SL problems are presented to demonstrate the effectiveness, efficiency, accuracy and reliability of the proposed method.

The method is limited to regular SL problems, but it can also solve some singular SL problems in an indirect way.

Comprehensive utilization of the EEP technique yields a simple, efficient and reliable adaptive FE procedure that finds sufficiently fine meshes for preset error tolerances on eigenvalues and eigenfunctions to be achieved, even on problems which proved troublesome to competing methods. The method can readily be extended to vector SL problems.

A general strategy is developed for adaptive finite element (FE) analysis of free vibration of elastic membranes based on the element energy projection (EEP) technique.

By linearizing the free vibration problem of elastic membranes into a series of linear equivalent problems, reliable a posteriori point-wise error estimator is constructed via EEP super-convergent technique. Hierarchical local mesh refinement is incorporated to better deal with tough problems.

Several classical examples were analyzed, confirming the effectiveness of the EEP-based error estimation and overall adaptive procedure equipped with a local mesh refinement scheme. The computational results show that the adaptively-generated meshes reasonably catch the difficulties inherent in the problems and the procedure yields both eigenvalues with required accuracy and mode functions satisfying user-preset error tolerance in maximum norm.

By reasonable linearization, the linear-problem-based EEP technique is successfully transferred to two-dimensional eigenproblems with local mesh refinement incorporated to effectively and flexibly deal with singularity problems. The corresponding adaptive strategy can produce both eigenvalues with required accuracy and mode functions satisfying user-preset error tolerance in maximum norm and thus can be expected to apply to other types of eigenproblems.

Many traditional retailers use the internet as a complementary business channel while “pure player” retailers only sell products via the internet. The question of who is better at offering electronic physical distribution service quality (e‐PDSQ) is open to debate. But, despite e‐PDSQ's importance there are few empirical studies and most have focused on general service quality of internet shopping or web site design. The purpose of this paper is to discuss and empirically test a conceptual framework for e‐PDSQ from the consumer's perspective.

This paper follows a two‐stage paradigm for scale and construct development, which is presented in a framework based on the concept of order fulfilment as a key driver in e‐PDSQ. Consumer postal surveys were conducted in Edinburgh, UK.

The consumer survey confirmed the appropriateness of the adopted e‐PDSQ framework. The finding that price is the most important online purchasing criteria is in accordance with Verdict which suggests that price is the principle motivator in the home delivery market as the retailing market is getting more price‐transparent and consumers are becoming more price‐sensitive.

Earlier work has provided insight into how e‐PDSQ, represented by availability, timeliness and reliability. This paper extends this work and empirically tests and confirms an e‐PDSQ framework to investigate differences between multi‐channel and pure player retailers, and provides a parsimonious set of e‐PDSQ variables and constructs for retailers to use to design and operate their online offerings.

This paper seeks to discuss the genealogical sources for Chinese immigrants as well as the settlement of Chinese in the USA and the historical evolution of Chinese names, their origins, arrangement and development. It aims to cover the origins of various classes of Chinese surnames, followed by the content description of a traditional genealogical book for jiapu.

The paper researches the various ways that a Chinese person can find out about their ancestry.

The paper reveals the roles of libraries, including serving the needs of patrons interested in genealogical research, preserving and interpreting information through oral and family history projects and collaborating with other libraries through interlibrary loan, document delivery, library consortia, collection management and international resource‐sharing.

The study provides information on where and how to locate the genealogical resources for researching the genealogy of a Chinese family.

The paper analyzes the value of genealogical research as a documentary source for population history, life expectancy in a clan, marriages and family connections, as well as lineage organizations and inter‐lineage relations.

The growth in online shopping has presented challenges for physical distribution service quality (PDSQ) provided by retailers, including both multi‐channel and pure players, and logistics service providers (LSPs). Issues emerging from a consumer survey regarding electronic physical distribution service quality (e‐PDSQ) informed this paper's research, which aims to consider this phenomenon.

The research study employed qualitative interviews with retailers, logistics service providers and experts to consider the consumer survey findings and discuss the current market situation and suggestions for improvement.

Interviewees confirmed that pure players offer better e‐PDSQ than multi‐channel retailers as well as important constructs of availability, time, condition and returns regarding this phenomenon, but also raised issues of relationships between retailers and LSPs and costs regarding service trade‐offs.

The research undertaken was exploratory and will require further and wider testing in other contexts and geographical areas to assure external validity.

The findings have strategic importance for online retailers and LSPs to achieve competitive advantage and offer superior customer service.

This paper extends earlier, limited work on e‐PDSQ and considers retailer and LSP points of view concerning previous research into consumer expectations and perceptions of e‐PDSQ.

Many traditional retailers use the internet as a complementary business channel and thus sell products through multiple channels. In contrast, “pure player” internet retailers only sell products via the internet. A proliferation of pure players over the past few years has intensified competition in the online shopping market and the question of who is better at offering physical distribution service quality (PDSQ), multi‐channel retailers or pure players, is open to debate. Despite PDSQ's importance in an electronic commerce environment there are few studies to date and most have focused on general service quality of internet shopping. The purpose of this paper is to discuss this phenomenon and posit a conceptual framework for further investigation.

This paper reviews the literature to develop variables and constructs for investigation following the first stage of Churchill's paradigm for scale development, which are presented in a framework based on the concept of order fulfilment as a key driver in electronic PDSQ, or e‐PDSQ.

The framework is presented for future investigation, thus there is no empirical study in this paper.

PDSQ has strategic importance for retailers to achieve competitive advantage and offer superior customer service, particularly for pure players as they are considered intangible services compared to their multi‐channel competitors. This importance also extends to the e‐commerce environment.

Earlier work has provided insight into how e‐PDSQ, represented by availability, timeliness and reliability, is affected by pricing, transactions and firms. This paper extends this work and presents an e‐PDSQ framework to investigate differences between multi‐channel and pure player retailers.

An improved adaptive finite element analysis based on local error estimate is proposed via the element energy projection (EEP) technique. This paper aims to discuss the aforementioned idea.

The computational region for a posteriori error estimation based on EEP method is further confined to a critical set of local elements generated in the previous adaptive step, enhancing efficiency while maintaining accuracy. The adaptive procedure incorporated with hierarchical mesh refinement is then developed.

The effectiveness of the improved error estimation of the overall adaptive analysis is confirmed by several benchmark examples. The results show that the shrinkage of the local computational region has little negative influence on the accuracy of a posteriori error estimation, thus yielding an improved adaptive procedure with simplified logic and reduced cost.

By localizing the computational region for error estimation, two crucial but cumbersome tricks, i.e. treatments of virtual elements and hanging nodes, are removed, giving the proposed approach full clarity and flexibility. The improved adaptive procedure characterizes simpler and faster computational algorithm and can produce results with required accuracy measured in maximum norm.