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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.