1,730,012 research outputs found
Astronomy of Ancient Egypt: A Cultural Perspective. Edited by Juan Antonio Belmonte and José Lull (Springer, Cham, 2023). Pp. xxxviii + 588. $180. ISBN 9783031118289
Full text linkReview of J. A. Belmonte and J. Loll (eds.), Astronomy of Ancient Egypt: A Cultural Perspective (Springer, Cham, 2023
Stefano D. T orre, Massimiliano Bocciarelli, Laura Daglio, Raffaella Neri (Eds) Buildings for Education. A Multidisciplinary Overview of The Design of School Buildings, Springer, Cham 2020, pp. 327
No full textReview. Stefano D. Torre, Massimiliano Bocciarelli, Laura Daglio, Raffaella Neri (Eds) Buildings for Education. A Multidisciplinary Overview of The Design of School Buildings, Springer, Cham 2020, pp. 327
Heidi West erlund, Sidsel Karls en, Heidi Partt i (Eds.) Visions for Intercultural Music Teacher Education, Springer, Cham 2020, pp. 224
No full textHeidi West erlund, Sidsel Karls en, Heidi Partt i (Eds.) Visions for Intercultural Music Teacher Education, Springer, Cham 2020, pp. 22
Development Trend Analysis of Industrial Wastewater Treatment Based on Patent Analysis and Bibliometrics
No full textJiahong, M., Yang, W., Chunxiao, Z., Jian, Y. (2022). Development Trend Analysis of Industrial Wastewater Treatment Based on Patent Analysis and Bibliometrics. In: Jeon, HY. (eds) Sustainable Development of Water and Environment. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-07500-1_22</p
Mapping the Evolution of Green Supply Chain: A Bibliometric Analysis
No full textInternational audienceThe green supply chain has become a priority for many companies around the world. This approach involves integrating environmental considerations into supply chain management processes, from product design to delivery. This approach has become essential to address growing concerns about sustainability and climate change, and to meet consumer expectations of corporate environmental responsibility. This article presents the landscape ofgreen supply chain development. It provides a bibliometric analysis to describe the evolution of the concept, identifying existing studies in this area of research and the countries and institutions that have shown the most interest in the concept. We also highlight potential avenues for future research in this area and the practical implications for business and policy makers
Perceptions and Barriers to the Adoption of Blended Learning at a Research-Based University in the United Arab Emirates
No full textThis study investigates the academic staff’s perception of blended learn
ing adoption in higher education (tertiary level) as well as the barriers to this adop
tion. To this end, 6 academic staff, joining the faculty of education, in one of the
research-based universities in the UAE, completed a self-administered survey. A
mixed methods approach was used to collect both quantitative and qualitative data.
The results suggest that the academic staff are fully aware of the importance of inte
grating blended learning. They are also ready to adopt any innovation that would
help students advance in their study provided that the adoption and provision of
these technologies are accompanied by professional training. The results also show
that the only barrier that inhibits the adoption of technology is the lack of a clear
policy on this integration and also the lack of blended learning-enabling software.
This research paves the way for more research on the integration of blended learn
ing at the tertiary level. It also raises some recommendation to the management of
the university, where the study was conducted, to adopt more advanced features of
Blackboard such as Blackboard collaborate
Principles and Applications of Photoacoustic Computed Tomography
No full textIn this chapter we will introduce photoacoustic computed tomography (PACT). A brief history and rational for doing PACT. In section 2, we will describe the different types of PACT systems according to the ultrasound transducer used for imaging. Finally, we will discuss various applications of PACT for pre-clinical small animal imaging and clinical human imaging in section 3. In conclusion we will discuss future developments.This is a manuscript of a book chapter published as Periyasamy, V., Gisi, K., Pramanik, M. (2024). Principles and Applications of Photoacoustic Computed Tomography. In: Xia, W. (eds) Biomedical Photoacoustics. Springer, Cham. https://doi.org/10.1007/978-3-031-61411-8_2
Personal Reflections: An Evolving Perspective on Women in Mathematics
Full text linkThis is part memoir and part opinion piece, in which I describe my fortunate mathematical life and my evolving perspective on women in mathematics, including the need for organizations such as the AWM.This is a manuscript of a chapter published as Hogben, L. (2022). Personal Reflections: An Evolving Perspective on Women in Mathematics. In: Beery, J.L., Greenwald, S.J., Kessel, C. (eds) Fifty Years of Women in Mathematics. Association for Women in Mathematics Series, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-030-82658-1_2
First-passage times for random walks in the triangular array setting
No full textDenisov D, Sakhanenko A, Wachtel V. First-passage times for random walks in the triangular array setting. In: A lifetime of excursions through random walks and Levy processes---a volume in honour of Ron Doney's 80th birthday. Progr. Probab. Vol 78. Birkh\"{a}user/Springer, Cham; 2021: 181-203
Personalized, Browser-Based Visual Phishing Detection Based on Deep Learning
Full text linkPhishing defense mechanisms that are close to browsers and that do not rely on any forms of website reputation may be a powerful tool for combating phishing campaigns that are increasingly more targeted and last for increasingly shorter life spans. Browser-based phishing detectors that are specialized for a user-selected set of targeted web sites and that are based only on the overall visual appearance of a target could be a very effective tool in this respect. Approaches of this kind have not been very successful for several reasons, including the difficulty of coping with the large set of genuine pages encountered in normal browser usage without flooding the user with false positives. In this work we intend to investigate whether the power of modern deep learning methodologies for image classification may enable solutions that are more practical and effective. Our experimental assessment of a convolutional neural network resulted in very high classification accuracy for targeted sets of 15 websites (the largest size that we analyzed) even when immersed in a set of login pages taken from 100 websites
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