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Au stud bump bonding technology is an effective means to realize heterogeneous integration of commercial chips in the 2.5D electronic packaging. The purpose of this paper is to study the long-term reliability of the Au stud bump treated by four different high temperature storage times (200°C for 0, 100, 200 and 300 h).

The bonding strength and the fracture behavior are investigated by chip shear test. The experiment is further studied by microstructural characterization approaches such as scanning electron microscope, energy dispersive spectrometer and so on.

It is recognized that there were mainly three typical fracture models during the chip shear test among all the Au stud bump samples treated by high temperature storage. For solder bump before aging, the fracture occurred at the interface between the Cu pad and the Au stud bump. As the aging time increased, the fracture mainly occurred inside the Au stud bump at 200°C for 100 and 200 h. When aging time increased to 300 h, it is found that the fracture transferred to the interface between the Au stud bump and the Al Pad.

In addition, the bonding strength also changed with the high temperature storage time increasing. The bonding strength does not change linearly with the high temperature storage time increasing but decreases first and then increases. The investigation shows that the formation of the intermetallic compounds because of the reaction between the Au and Al atoms plays a key role on the bonding strength and fracture behavior variation.

Climate change has a direct impact on companies. Therefore, the scenario analysis is used to provide companies and stakeholders in this specific sector with forward-looking measures and narratives of the world's future state. This work aims to provide an independent, wide and rigorous literature review on the topics of scenario analysis and climate change, analyzing a large set of referred papers included in economic journals on the Web of Science Clarivate Analytics data source. This review, by means of a mixed approach, can help address new policy strategies and business models.

The work employs 416 abstracts and relative titles in the field of economics, employing data mining for qualitative variables and performing descriptive statistics and lexicometric measures, similarity analysis and clustering with Reinert's hierarchical method in order to extract knowledge. Furthermore, qualitative content analysis allows for the return of a comprehensive and complete universe of meaning, as well as the analysis of co-occurences.

Content analysis reveals three main classification clusters and four unknown patterns: model area, risks, emissions and energy and carbon pricing, indicating research directions and limitations through an overview with an extensive reference bibliography. In the research, the prevalent use of quantitative instruments and their limitations emerge, while qualitative instruments are residual for climate change assessment; they also highlight the centrality of transition risk over adaptation measures and the combination of different types of instruments with reference to carbon pricing.

Scenario analysis is a relatively new topic in economics and finance research, and it is under-investigated by the academy. The analysis combines quantitative and qualitative research using text analytics.

The educational community – particularly higher education – should contribute to the new generation’s understanding of what sustainability entails. To do this, teachers must be aware of the need for education for sustainability. However, little is known about how university teachers understand or represent sustainability. This study aims to bridge the gap identified in the literature concerning university teachers’ representation of sustainability.

A total of 403 teachers from the University of the Basque Country participated in the study through a free association exercise based on the grid elaboration method.

In general terms, teachers are aware of the three dimensions that constitute sustainability, but differences were found in the way sustainability was represented depending on several factors such as the teaching field, previous knowledge of the 2030 Agenda and gender. Despite awareness of the need to incorporate sustainability, there was also reticence toward the way in which sustainability is being addressed in higher education. Those results were discussed considering the previous literature on sustainability.

The results allow the authors to conclude that knowledge of the 2030 Agenda leads teachers to have a more complete representation and greater recognition of sustainability. Thus, it would be necessary for universities to offer more training to teachers to promote a holistic understanding of sustainability and facilitate its incorporation into teaching.

The use of this method made it possible to collect, in a less biased and much more direct way, the teachers’ voices, to know the type of representation (holistic) or partial (only one of its dimensions: environmental, economic or social) that they have of sustainability, and to check whether their representation was linked to specific factors.

The aim of the study is to assess the extent to which Taoist philosophy offers thematic and ethical insights relevant to current global crises, including climate change, food insecurity, renewed conflict and increased authoritarianism.

A critical review of specific verses from the Tao Te Ching and research sources relevant to them is carried out.

Taoist philosophy, of ancient origins, is surprisingly relevant to modern crises. While not offering definitive answers, it does provide thematic and ethical insights for reorienting governance in more productive ways.

While there is a large literature on Taoist philosophy itself, there is a paucity of research articles on the modern relevance of Taoist philosophy to pressing current issues. The article brings together and assesses these sources, considering relevant research.

The rising concern for the accuracy of residential valuations in Nigeria has created the need for key stakeholders in the residential property markets in the study areas to know the level of accuracy of valuations in order to make rational residential property transactions, amongst other purposes.

A blend of descriptive and causal designs was adopted for the study. Data were collected via structured questionnaire administered to 179 estate surveying and valuation (ESV) firms in the study areas using census sampling technique. Analytical techniques such as median percentage error (PE), mean and relative importance index (RII) analysis were employed in the analysis of data collected for the study.

The study found that valuation accuracy is greater in the residential property market in Abuja than in Minna, with inappropriate valuation methodology as the most significant cause of valuation inaccuracy.

The practical implication of this study is that a reliable databank should be established for the property market to provide credible transaction data for valuers to conduct accurate valuations in these cities. Strict enforcement of national and international valuation standards by the regulatory authorities as well as retraining of valuers on appropriate application of valuation approaches and methods are the recommended corrective measures.

No study has comparatively examined the accuracy of valuations in two extremely different residential property markets in the country using actual valuation and transaction prices.

This paper aims to examine the ethics of authentic talent development in socioeconomic context by considering a set of alternative ethical frameworks. It juxtaposes the ideals of civic virtue, which involve a concern for the common good, with the reality that socioeconomic deprivation and sociocultural practices severely constrain talent development opportunities and choice.

The paper draws on several frameworks complementary to the ideals of civic virtue – the basic goods approach, human capital theory, the capabilities approach and the ethic of care – to elucidate the barriers to talent development embodied in sociocultural context, as well as policy and institutional practices to overcoming these barriers.

While multiple ethical frameworks are necessary to fully capture the issues related to authentic talent development in socioeconomic context, a focus on the ethic of care and basic goods provision is an important starting point. There are also a few fundamental starting points for human resource development in responding to ethical concerns regarding authentic talent development.

While the prevailing approach to talent development is implicitly based on a logic of social identity ascription, this paper promotes an alternative approach based on the ethics of civic virtue. While the former is oriented to the support of social hierarchies based on identity, the latter is oriented to fostering both social and human well-being via choice and authentic talent development.

This study aims to evaluate the impact of board characteristics on bank performance at the commercial bank in Vietnam.

By running the pool OLS, fixed-effect and random-effect models with a panel data set of 294 observations from 2008 to 2021, the authors have examined determinants of bank performance.

The research results show that bank size, governance efficiency, capital adequacy ratio and economic growth have a positive effect while credit risk has a negative relationship with the commercial bank’s performance.

In particular, the result shows the relationship between chief executive officers’ (CEOs) gender and bank performance. Commercial banks led by female CEOs have lower bank performance than that led by male CEOs. However, this impact magnitude is not significant. The research results are the basis to propose recommendations to improve the Vietnamese commercial bank’s performance.

The recent COVID-19 is forcing governments to implement policies on a large scale to counter its spread. A central issue in the economic debate is the effective quantification of the impact that the policies may implicitly have on the economy. This study quantifies the effects of lockdown in the United States.

The study uses a dynamic computable general equilibrium (DCGE) model calibrated on a social accounting matrix (SAM). The lockdown policy is applied on the supply side, by using a reduction in the production according to the closing time of each industry. The reduction in the demand is also applied, throughout the contraction of the household consumption that is diversified by the commodities. In order to analyse the pure effect of the lockdown policy, the interventions by the policy makers are not considered in this study.

The results show an important contraction of productivity in the food industry, the real estate activities, the constructions and the general services.

The contraction produces a fall of the GDP for the whole period analysed, traced by the investments, which includes repercussions on the whole productive system, employment and income of the institutional sectors.

The thermophysiological comfort of fabrics is prerequisite as customers covet adequate moisture, heat management-supported and UV protective clothing that measure up to their levels of activities and environmental conditions. Hitherto, scant tasks have been reported with the purpose of engineering both comfort and UV protection simultaneously. From that vantage point, the objective of this work is to develop a model for optimum UPF, air permeability, water-vapour resistance, thermal resistance, thermal absorptivity and areal density of knitted fabrics.

Weft knitted fabrics of various compositions were investigated. UPF was tested using the Labsphere UV transmittance analyser. The FX 3300 (Textest instruments) air permeability tester was used to test air permeability. Thermal comfort and water-vapour resistance were evaluated using the Alambeta and Permetest instruments, respectively. Based on image processing, the porosity was measured. Fabrics thickness and areal density were measured according to standard methods. Furthermore, parametric and non-parametric statistical test methods were applied to the data for analysis.

Linear regression was substantiated by Kolmogorov-Smirnov test. Then multiple linear regression of porosity and thickness together on UPF and comfort parameters were visually depicted by virtue of 3D linear plots. Residual analysis with quantile-quantile and probability plots, advocated the tests using the Shapiro-Wilk test. The result was validated by comparison with experimental data tested. The samples gave satisfactory relative errors and were supported by the z-test method. All tests indicated failure to reject the null hypothesis.

The predictive models were embedded into an interactive computer program. Fabric thickness and porosity are the inputs needed to run the program. It will predict the optimum UPF, areal density and thermophysiological comfort parameters. In a nutshell, knitters may use the program to determine optimum structural parameters for diverse permutations of UPF and thermophysiological comfort parameters; scilicet high UV protection together with low thermal insulation combined with low water-vapour resistance and high air permeability.