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Exploring Service Science - 9th International Conference, IESS 2018, Karlsruhe, Germany, September 19-21, 2018, Proceedings (Paperback, 1st ed. 2018)
Gerhard Satzger, Lia Patricio, Mohamed Zaki, Niklas Kuhl, Peter Hottum
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This book constitutes the proceedings of the 9th International
Conference on Exploring Services Science, IESS 2018, held in
Karlsruhe, Germany, in September 2018. The 30 papers presented in
this volume were carefully reviewed and selected from 67
submissions. The book is structured in six parts, each featuring
contributions describing current research in a particular domain of
service science: Service Design and Innovation; Smart Service
Processes; Big Data in Services; Service Topics Open Exploration;
Design Science Research in Services. The book offers an extended,
ICT-focused vision on services and addresses multiple relevant
aspects, including underlying business models, the necessary
processes and technological capabilities like big data and machine
learning. The academic work showcased at the conference should help
to advance service science and its application in practice.
This book covers elements of both the data-driven comparative
modeling approach to structure prediction and also recent attempts
to simulate folding using explicit or simplified models. Despite
the unsolved mystery of how a protein folds, advances are being
made in predicting the interactions of proteins with other
molecules. Also rapidly advancing are the methods for solving the
inverse folding problem, the problem of finding a sequence to fit a
structure.
This book focuses on the various computational methods for
prediction, their successes and their limitations, from the
perspective of their most well known practitioners.
This book covers elements of both the data-driven comparative
modeling approach to structure prediction and also recent attempts
to simulate folding using explicit or simplified models. Despite
the unsolved mystery of how a protein folds, advances are being
made in predicting the interactions of proteins with other
molecules. Also rapidly advancing are the methods for solving the
inverse folding problem, the problem of finding a sequence to fit a
structure. This book focuses on the various computational methods
for prediction, their successes and their limitations, from the
perspective of their most well known practitioners.
This research was designed to provide an insight into the state of
occlusal patterns, tooth size and arch dimension of the primary
dentition in a group of preschool Egyptian and Yemeni children. A
total of 1113 Egyptian and Yemeni children aged from 3-5 years were
examined. A sample of 597 children (320 girls and 277 boys) was
selected from the examined children to meet the following criteria;
to have a full complement of primary dentition, no missing teeth,
no interproximal carious lesions and to be free from any dental
malformations. Children with systemic health disease or children
with tendency to bruxism and abnormal habits were excluded. For
each subjects an alginate impression was taken for both dental
arches and poured in dental stone, to produce dental casts on which
the following measurements were recorded for each arch; tooth size,
arch dimensions, occlusal relationships and the presence or absence
of spacing and crowding. A digital calliper was used to record the
measurements. The recorded data was tabulated and statistically
analyzed with SPSS 20.0(r) (Statistical Package for Scientific
Studies) for Windows.
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