Results 91 to 100 of about 26,722,291 (305)

Data Driven Start-Ups

Web scraped text of data-driven start-ups founded between 2010 and 2023. The data was used for data-driven business models analysis, identifying emergent trends and business models transformation over time.
Darold, Denilton, Darold, D (via Mendeley Data)   +1 more
core   +1 more source

The Rise of Data-Driven Governance

, 2020
The world appears to be overflowing with data, thanks to rapid developments in technology over the past ten to fifteen years. It is increasingly argued that data-driven knowledge is capable of changing the ways in which we understand the world and also ...
Chandler, D.
core   +1 more source

Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges

Journal of Big Data
The United Nations’ 17 Sustainable Development Goals stress the importance of global and local efforts to address inequalities and implement sustainability.
Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Ziad Rizk, Herbert Jodlbauer   +4 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +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

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

stefdeli/Data-driven-Adaptive-Benders-Decomposition: Data-Driven Adaptive Benders Decomposition

, 2019
Python codes and data from the paper ``Data-driven Adaptive Benders Decomposition for the Stochastic Unit Commitment ...
Stefanos Delikaraoglou
core   +1 more source

Data-driven school improvement linking data and learning /

, 2008
Titre de l'écran-titre (visionné le 31 jan. 2012)Comprend des réf. bibliogr. et un index.Data-driven decision making : an introduction / Ellen B. Mandinach & Margaret Honey -- A conceptual framework for data-driven decision making / Ellen B.
Mandinach, Ellen Beth., Honey, Margaret., Center for Children and Technology (Education Development Center)   +2 more
core   +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

Self Healing of a Mixed Autonomy Traffic System Using Reinforcement Learning and Attention

IEEE Open Journal of Intelligent Transportation Systems
As urban traffic becomes increasingly complex with the integration of connected and autonomous vehicles alongside human-driven vehicles, there is a critical need for adaptive traffic management systems capable of self-healing in response to disruptions ...
Safia Fatima, Kai Olav Ellefsen, Leon Moonen   +2 more
doaj   +1 more source