Results 61 to 70 of about 5,399,622 (251)

Design of Requirement Engineering Model during Reengineering

, 2011
Requirement Engineering[1,2,3] is the most effective phase of software development. Its aims is to collect required requirement from stakeholders in the right way.
Dr. Anil kumar
core  

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Software Security Requirement Engineering for Risk and Compliance Management

, 2021
The objective of the research work is to propose a software based security requirement engineering model using categorical and morphisms theory. The earlier security requirement engineering models focus different viewpoints on parallel processing and ...
S.Ravikumar, D.Kavitha*
core   +1 more source

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

FEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens, Brendan W. Chandler, Anna M. Schmoker, Jaye L. Weinert, Charlotte A. Kearns, Warren T. Yacawych, Amila Šemić, Alicia M. Ebert, Bryan A. Ballif   +8 more
wiley   +1 more source

Data management in balance – a decade of balancing pragmatism, sustainability and innovation at plant research center IPK Gatersleben

Journal of Integrative Bioinformatics
The Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben is a leading international plant science institute specializing in biodiversity and crop plant performance research.
Schüler Danuta, Lange Matthias, Altmann Thomas, Cuacos Maria, Arend Daniel, D’Auria John Charles, Fiebig Anne, Kumlehn Jochen, Neumann Kerstin, Melzer Michael, Rey-Mazón Elena, Rolletschek Hardy, Scholz Uwe, Willner Evelin, Reif Jochen C.   +14 more
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Successful Requirement Elicitation by Combining Requirement Engineering Techniques

, 2008
Mishra, Alok/0000-0003-1275-2050; Mishra, Deepti/0000-0001-5144-3811The role of customers and other stakeholders is becoming increasingly significant during requirement engineering activities.
Mıshra, Deepti, Yazici, Ali, Mishra, Deepti, Mishra, Alok, Yazıcı, Ali, Mıshra, Alok   +5 more
core  

A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities

CAAI Transactions on Intelligence Technology
Over the past few years, the application and usage of Machine Learning (ML) techniques have increased exponentially due to continuously increasing the size of data and computing capacity.
Shoaib Hassan, Qianmu Li, Khursheed Aurangzeb, Affan Yasin, Javed Ali Khan, Muhammad Shahid Anwar   +5 more
doaj   +1 more source

Decoding the dynamic extracellular matrix in cancer—3D models and bioscaffolds rewire the rules of tumor progression

FEBS Letters, EarlyView.
Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani, Konstantinos Spanopoulos, Zoi Piperigkou, Nikos K. Karamanos   +3 more
wiley   +1 more source