scholarly journals Supplementary material to "A comprehensive characterization of ice nucleation by three different types of cellulose particles immersed in water: lessons learned and future research directions"

Author(s):  
Naruki Hiranuma ◽  
Kouji Adachi ◽  
David Bell ◽  
Franco Belosi ◽  
Hassan Beydoun ◽  
...  
Author(s):  
Todd W. Neller ◽  
Connor Berson ◽  
Jivan Kharel ◽  
Ryan Smolik

In this article, we describe the lessons learned in creating an efficient solver for the solitaire game Birds of a Feather. We introduce a new variant of depth-first search that we call best-n depth-first search that achieved a 99.56% reduction in search time over 100,000 puzzle seeds. We evaluate a number of potential node-ordering search features and pruning tests, perform an analysis of solvability prediction with such search features, and consider possible future research directions suggested by the most computationally expensive puzzle seeds encountered in our testing.


Author(s):  
Jorge A. Romero

The understanding of the link between Information Technology (IT) investments and firm performance is still not completely understood in spite of numerous studies. However, these studies are not united in how they examine the effects of IT on business performance. They differ in their criteria, methodologies, and samples. Therefore, while there are positive effects associated with IT on firm performance, it is still difficult to reach overarching conclusions and highlight that there is still a need for further research. Specifically, this chapter contributes to this area of study by discussing the different types of benefits that firms can get from IT investments, examining the use of accounting variables to quantify the effect of IT, and providing future research directions.


Author(s):  
George A. Sielis ◽  
Aimilia Tzanavari ◽  
George A. Papadopoulos

Recommender or recommendation systems are software tools that make useful suggestions to users, by taking into account their profile, preferences and/or actions during interaction with an application or website. They are usually personalized and can refer to items to buy, people to connect to or books/ articles to read. Recommender Systems (RS) aim at helping users with their interaction by bringing to surface the information that is relevant to them, their needs, or their tasks. This article's objective is to present a review of the different types of RS, the techniques and methods used for building such systems, the algorithms used to generate the recommendations and how these systems can be evaluated. Finally, a number of topics are discussed as envisioned future research directions.


Author(s):  
Paul F. Marty ◽  
Scott Sayre ◽  
Silvia Filippini Fantoni

Personal digital collections systems, which encourage visitors to museum websites to create their own personal collections out of a museum’s online collections, are the latest trend in personalization technologies for museums and other cultural heritage organizations. This chapter explores the development, implementation, and evaluation of different types of personal digital collection interfaces on museum websites, from simple bookmarking applications to sophisticated tools that support high levels of interactivity and the sharing of collections. It examines the potential impact of these interfaces on the relationship between museums and their online visitors, explores the possible benefits of involving users as co-creators of digital cultural heritage, and offers an analysis of future research directions and best practices for system design, presenting lessons learned from more than a decade of design and development of personal digital collections systems on museum websites.


2002 ◽  
Vol 27 (2) ◽  
pp. 13-28 ◽  
Author(s):  
Piyush Kumar Sinha ◽  
Arindam Banerjee ◽  
Dwarika Prasad Uniyal

Store choice is a decision that a shopper is fairly involved in. It is important for a store to understand this behaviour for developing marketing strategies to attract and keep its clientele. It is found that shoppers choose the store based on many aspects that could be classified as primary and image based. It is also found that the importance of each of these aspects changes with the kind of store the shopper wants to visit. In the Indian context where the shopper does not have much variety in store format, the type of store is recognized by the kind of product the store deals in. The paper is an attempt to understand this behaviour of the shopper. The shoppers are explored for the primary reasons for choosing a store. Then, using a factor analysis, the several image dimensions are classified. Further, using multinomial logit regression, the store choice pattern is studied across different types of store. Implications for the managers in the retail business are drawn and future research directions have been highlighted.


2019 ◽  
Vol 11 (1) ◽  
pp. 419-438
Author(s):  
JunJie Wu

Urbanization is taking place at an unprecedented pace and scale in China, India, and many other emerging economies. This will have profound impacts on the world economy and environment. This review provides a critical assessment of the current understanding of the intertwined relationships between agglomeration, economic growth, and environmental quality. We start by providing a brief overview of the extensive literature on the drivers of agglomeration and its economic impact. We then discuss the opposing views on the environmental impact of agglomeration and illustrate the trade-offs involved when choosing among different levels and forms of agglomeration. Finally, we discuss challenges for environmental management in a rapidly urbanizing economy and some lessons learned from history and experiences of urban development and their policy implications. The review concludes with a discussion of key knowledge gaps and future research directions.


Author(s):  
Kilian Gericke ◽  
Boris Eisenbart

AbstractResearch and industrial practice have produced a host of function models and modeling approaches over the last decades. Each of these is meant to support designers in their design endeavors. Industrial practice is excessively diversified in terms of contextual requirements, aims, and adopted processes; this automatically begs the question which of the existing models should be selected for application in a specific situation. This paper sets out to contribute to this discourse. It strives to benchmark the fairly novel integrated function modeling (IFM) framework against the well-established function structures modeling approach. The paper comparatively investigates the respective capabilities of the approaches, following the benchmarking protocol used earlier in relation to this Special Issue. Function structures are used as reference as they represent one of the most widespread function modeling approaches in research and practice. Both function structures and the IFM framework are exemplarily applied for modeling a glue gun. The gradual generation and refinement of the models is used to showcase their respective benefits and shortcomings. Eventually, the IFM framework is found to excel over function structures in terms of comprehensiveness and support for different types of function analyses. Finally, future research directions are proposed.


Author(s):  
Victor X. Wang

This article uses a real case to illustrate that marketing educational programs through technology is affected by one’s philosophies positively or negatively, depending on the philosophies adopted. Seven philosophies are discussed in relationship to marketing educational programs via technology. Connections between the seven philosophies and different types of universities/colleges are drawn. Future research directions also revolve around marketing educational programs, Web 2.0 technologies and one’s philosophies. It is recommended that universities/colleges seriously consider hiring those administrators who have adopted the right philosophies as the wrong philosophies will work against the mission of certain academic departments, hence the whole university or college.


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