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Building a cycling route is an interesting example of sustainable, environmentally friendly leisure and tourism project and this also fosters innovation in eco-friendly transport options. Financial resources must be found to achieve these ambitious goals and crowdfunding could be the answer. The study analyses the factors that influence potential backers' decisions to contribute to the fundraising campaign.

A Fuzzy-set Qualitative Comparative Analysis (FsQCA) was applied to elaborate a map of factors that could influence the process of the crowd's contribution to a crowdfunding round for supporting the enhancement of a cycling route. The factors taken into account were the motivations to contribute, the crowdfunder's features and the dynamics of the fundraising campaign.

The results demonstrate the strategic role played by rewards in the design of a crowdfunding round for a sustainable tourism and leisure project. The results also add more insights by considering backers' attitudes to rewards.

Understanding the factors that can influence the decision to pledge in the tourism and leisure context has extremely valuable implications for tourism businesses developing the business idea and associated capital raising strategies. The study also has practical implications for all institutions trying to foster innovation in eco-friendly transport, particularly in promoting more cycling and improving the image of cycling in the culture.

The study is a step forward in understanding the factors that lead backers to support a sustainable project in the tourism and leisure context and the related dynamics of the crowdfunding round.

The most sustainable forms of urban mobility are walking and cycling. These modes of transportation are the most environmental friendly, the most economically viable and the most socially inclusive and engaging modes of urban transportation. To measure and compare the effectiveness of alternative pedestrianization or cycling infrastructure plans, the authors need to measure the potential flows of pedestrians and cyclists. The paper aims to discuss this issue.

The authors have developed a computational methodology to predict walking and cycling flows and local centrality of streets, given a road centerline network and occupancy or population density data attributed to building plots.

The authors show the functionality of this model in a hypothetical grid network and a simulated setting in a real town. In addition, the authors show how this model can be validated using crowd-sensed data on human mobility trails. This methodology can be used in assessing sustainable urban mobility plans.

The main contribution of this paper is the generalization and adaptation of two network centrality models and a trip-distribution model for studying walking and cycling mobility.

The Kirkendall void had been a well-known issue for long-term reliability of semiconductor interconnects; while even the KVs exist at the interfaces of Cu and Sn, it may still be able to pass the condition of unbias long-term reliability testing, especially for 2,000 cycles of temperature cycling test and 2,000 h of high temperature storage. A large number of KVs were observed after 200 cycles of temperature cycling test at the intermetallic Cu₃Sn layer which locate between the intermetallic Cu₆Sn₅ and Cu layers. These kinds of voids will grow proportional with the aging time at the initial stage. This paper aims to compare various IMC thickness as a function of stress test, the Cu₃Sn and Cu₆Sn₅ do affected seriously by heat, but Ni₃Sn₄ is not affected by heat or moisture.

The package is the design in the flip chip-chip scale package with bumping process and assembly. The package was put in reliability stress test that followed AEC-Q100 automotive criteria and recorded the IMC growing morphology.

The Cu₆Sn₅ intermetallic compound is the most sensitive to continuous heat which grows from 3 to 10 µm at high temperature storage 2,000 h testing, and the second is Cu₃Sn IMC. Cu₆Sn₅ IMC will convert to Cu₃Sn IMC at initial stage, and then Kirkendall void will be found at the interface of Cu and Cu₃Sn IMC, which has quality concerning issue if the void’s density grows up. The first phase to form and grow into observable thickness for Ni and lead-free interface is Ni₃Sn₄ IMC, and the thickness has little relationship to the environmental stress, as no IMC thickness variation between TCT, uHAST and HTSL stress test. The more the Sn exists, the thicker Ni₃Sn₄ IMC will be derived from this experimental finding compare the Cu/Ni/SnAg cell and Ni/SnAg cell.

The research found that FCCSP can pass automotive criteria that follow AEC-Q100, which give the confidence for upgrading the package type with higher efficiency and complexities of the pin design.

This result will impact to the future automotive package, how to choose the best package methodology and what is the way to do the package. The authors can understand the tolerance for the kind of flip chip package, and the bump structure is then applied for high-end technology.

The overall three kinds of bump structures, Cu/Ni/SnAg, Cu/SnAg and Ni/SnAg, were taken into consideration, and the IMC growing morphology had been recorded. Also, the IMC had changed during the environmental stress, and KV formation was reserved.

Recent advancements in Artificial Intelligence (AI) and, at its core, Machine Learning (ML) offer opportunities for organizations to develop new or enhance existing capabilities. Despite the endless possibilities, organizations face operational challenges in harvesting the value of ML-based capabilities (MLbC), and current research has yet to explicate these challenges and theorize their remedies. To bridge the gap, this study explored the current practices to propose a systematic way of orchestrating MLbC development, which is an extension of ongoing digitalization of organizations.

Data were collected from Finland's Artificial Intelligence Accelerator (FAIA) and complemented by follow-up interviews with experts outside FAIA in Europe, China and the United States over four years. Data were analyzed through open coding, thematic analysis and cross-comparison to develop a comprehensive understanding of the MLbC development process.

The analysis identified the main components of MLbC development, its three phases (development, release and operation) and two major MLbC development challenges: Temporal Complexity and Context Sensitivity. The study then introduced Fostering Temporal Congruence and Cultivating Organizational Meta-learning as strategic practices addressing these challenges.

This study offers a better theoretical explanation for the MLbC development process beyond MLOps (Machine Learning Operations) and its hindrances. It also proposes a practical way to align ML-based applications with business needs while accounting for their structural limitations. Beyond the MLbC context, this study offers a strategic framework that can be adapted for different cases of digital transformation that include automation and augmentation of work.

This paper aims to identify the need for research that focuses on micromobilities at tourist destinations, charting their recent expansion and exploring development challenges.

This discussion draws together recent evidence and studies that are directly and indirectly related to the rise of micromobilities. It identifies and critically analyses the trend going forward, its potential benefits and challenges, and offers several areas of future study.

Micromobilities relates to a new umbrella term that includes, but is not limited to, walking, cycling (both existing modes), e-bikes and e-scooters (new modes). The proliferation of new micro-modes in urban zones at destinations can be viewed positively in terms of their potential to increase sustainable urban mobility and therefore destination attractiveness; but also negatively in terms of potential space issues, accessibility and sustainable implementation. Destination developers and stakeholders should therefore consider carefully how to successfully integrate micromobilities into sustainable transport systems.

This paper addresses a trend that is extremely prominent at many destinations but largely absent from academic study and that is also being described by commentators as key to sustainable futures at destinations.

A standalone microgrid (MG) is able to use local renewable resources and reduce the loss in long distance transmission. But the single-phase device in a standalone MG can cause the voltage unbalance condition and additional power loss that reduces the cycle life of battery. This paper proposes an energy management strategy for the battery/supercapacitor (SC) hybrid energy storage system (HESS) to improve the transient performance of bus voltage under unbalanced load condition in a standalone AC microgrid (MG).

The SC has high power density and much more cycling times than battery and thus to be controlled to absorb the transient and unbalanced active power as well as the reactive power under unbalanced condition. Under the proposed energy management design, the battery only needs to generate balanced power to balance the steady state power demand. The energy management strategy for battery/SC HESS in a standalone AC MG is validated in simulation study using PSCAD/EMTDC.

The results show that the energy management strategy of HESS maintains the bus voltage and eliminates the unbalance condition under single-phase load. In addition, with the SC to absorb the reactive power and unbalanced active power, the unnecessary power loss in battery is reduced with shown less accumulate depth of discharge and higher average efficiency.

With this technology, the service life of the HESS can be extended and the total cost can be reduced.

The purpose of this paper is to explore domestic experiential travel by Chinese millennials, a group of consumers who will increasingly influence the global travel and tourism industry.

A qualitative research method was adopted to explore motivations and memorable experiences of Chinese millennials who successfully mountain biked the Qinghai–Tibet Highway in China.

For Chinese millennial mountain bikers in Tibet, experiential travel motivations and experiences are important. During the trip, they challenged their mental and physical abilities, enjoyed nature, bonded with friends and perceived a warm welcome by Tibetan families. This study adds to existing knowledge on experiential travel, as it was found that transformation was perceived as important outcome of the trip. Participants perceived personal change in attitude and behaviour, which will help them face everyday life challenges.

Further research could focus on gaining insight into other types of Chinese adventure tourists, on comparing wishes and demands of Chinese with other mountain bikers and on developments in transformative travel.

Adventure tourism organisations could adjust their tourism product range to cater more for Chinese millennials who aim to improve their physical and mental skills.

In-depth research into motivations and experiences of Chinese millennials is scarce. The influence of Chinese millennials on the tourism market is already large and will continue to increase.

Our understanding of leaders and the role they play in organizations and society is changing, which has important implications for leadership education. At the turn of the century, society began to move from a mechanistic understanding of leadership to a more ecological one. The latter, ecological approach to leadership is characterized by collective decision-making, collaboration, shared leadership, and grassroots organization. While leadership educators have acknowledged this shift, more case examples are needed to illuminate practical implications for leadership. This study of county 4-H associations uses an explanatory sequential mixed methods design to explore the relationship between three factors: (a) subjects’ levels of hierarchical and systemic thinking; (b) how their associations engage in leadership and organizational learning; and (c) programmatic success. While no direct relationship emerged between programmatic success and subjects’ levels of hierarchical and systemic thinking, mixed methods results revealed several distinctions between high and low scoring programs’ approaches to leadership. These distinctions support an ecological approach to leadership, which in turn impacts modern approaches to leadership education.

This paper aims to solve the parameter identification problem to estimate the parameters in electrochemical models of the lithium-ion battery.

The parameter estimation framework is applied to the Doyle-Fuller-Newman (DFN) model containing a total of 44 parameters. The DFN model is fit to experimental data obtained through the cycling of Li-ion cells. The parameter estimation is performed by minimizing the least-squares difference between the experimentally measured and numerically computed voltage curves. The minimization is performed using a state-of-the-art hybrid minimization algorithm.

The DFN model parameter estimation is performed within 14 h, which is a significant improvement over previous works. The mean absolute error for the converged parameters is less than 7 mV.

To the best of the authors’ knowledge, application of a hybrid optimization framework is new in the field of electrical modelling of lithium-ion cells. This approach saves much time in parameterization of models with a high number of parameters while achieving a high-quality fit.

The purpose of this paper is to profile the development of a bicycle parking hub at the University of Tasmania to illustrate how the Academic Operations Sustainability Integration Program promotes real change through the engagement of stakeholders from across an institution to deliver campus sustainability. This case study outlines one example of how place-based learning initiatives focused on campus sustainability challenges have delivered authentic education for sustainability in the Australasian higher education setting.

This case study outlines the process through which a cross-disciplinary place-based learning initiative was designed, implemented and evaluated over a three-year period. The evaluation of the project was designed to assess the impact of this education for sustainability approach on both operational and student learning outcomes, and to make recommendations on the continuation of place-based learning initiatives through the Academic Operations Sustainability Integration Program.

This case study illustrates how learning can be focused around finding solutions to real world problems through the active participation of staff and students as members of a learning community. This experience helped the authors to better understand how place-based learning initiatives can help deliver authentic education for sustainability and the success factors required for engaging staff and students in such efforts.

The case study highlights an example of an education for sustainability initiative that was mutually driven by the operational and learning objectives of an institution, and specifically the ways in which the engagement of staff and students from across an institution can lead to the successful integration of these two often disparate institutional goals.