Results 121 to 130 of about 1,317,898 (360)

Embryomorphic Engineering: Emergent innovation through evolutionary development [PDF]

, 2014
Embryomorphic Engineering, a particular instance of Morpho-genetic Engineering, takes its inspiration directly from biological development to create new hardware, software or network architectures by decentralized self-assembly of elementary agents.
Dordea, Razvan, Doursat, René, Fourquet, David, Kowaliw, Taras, Sánchez Quintana, Carlos Alberto   +4 more
core  

git2net - Mining Time-Stamped Co-Editing Networks from Large git Repositories

, 2019
Data from software repositories have become an important foundation for the empirical study of software engineering processes. A recurring theme in the repository mining literature is the inference of developer networks capturing e.g.
Gote, Christoph, Scholtes, Ingo, Schweitzer, Frank   +2 more
core   +1 more source

Software Agents as Information-Sharing Enhancers in Security-Sensitive Organizations

Future Internet
This study examines the influence of software agents on information-sharing behavior within security-sensitive organizations, where confidentiality and hierarchical culture often limit the flow of knowledge.
Yonit Rusho, Daphne Ruth Raban, Michal Chalamish, Vered Pnueli   +3 more
doaj   +1 more source

Integrative miRNOMe profiling reveals the miR‐195‐5p–CHEK1 axis and its impact on luminal breast cancer outcomes

Molecular Oncology, EarlyView.
In luminal (ER+) breast carcinoma (BC), miRNA profiling identified miR‐195‐5p as a key regulator of proliferation that targets CHEK1, CDC25A, and CCNE1. High CHEK1 expression correlates with worse relapse‐free survival after chemotherapy, especially in patients with luminal A subtype.
Veronika Boušková, Marie Ehrlichová, Alžběta Spálenková, Ivona Krus, Simona Šůsová, Viktor Hlaváč, Vlasta Němcová, Renata Koževnikovová, Markéta Trnková, David Vrána, Jiří Gatěk, Kateřina Kopečková, Marcela Mrhalová, Soňa Měšťáková, Pavel Souček   +14 more
wiley   +1 more source

Sustainability Design and Software: The Karlskrona Manifesto [PDF]

Sustainability has emerged as a broad concern for society. Many engineering disciplines have been grappling with challenges in how we sustain technical, social and ecological systems.
Becker, Christoph, Chitchyan, Ruzanna, Duboc, Leticia, Easterbrook, Steve, Penzenstadler, Birgit, Seyff, Norbert, Venters, Colin   +6 more
core  

Company-university intersections through service-learning (SL): a systematic review

Frontiers in Education
The most relevant intersections in society include the relationship between universities and companies for a projection toward the sustainable employability of future graduates.
Margarita R. Rodríguez-Gallego, Rosario Ordóñez-Sierra, Soledad Domene-Martos, Cristina de-Cecilia-Rodríguez   +3 more
doaj   +1 more source

NECESSITY OF LEARNING ANALYTICS IN SOFTWARE ENGINEERING EDUCATION [PDF]

Journal of Engineering Science and Technology, 2015
Computers are necessary and unavoidable part of the modern lifestyle. Software is the key factor to satisfy all the desires and keep up this rock status.
N. PRATHEESH, T. DEVI
doaj  

The role of social capital in promoting entrepreneurial readiness of engineering students at Shiraz University?

آموزش مهندسی ایران, 2017
The main objective of this study was checking the role of social capital in promoting entrepreneurial readiness of engineering students in Shiraz University. The method of this study was descriptive and correlational.
ghasem salimi, Mahboobe Mehrvarz, Reza Paziresh   +2 more
doaj   +1 more source

Walking the line? The enactment of the social/technical binary in software engineering [PDF]

, 2009
Vivian Anette Lagesen, Knut H. Sørensen
openalex   +1 more source

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

Molecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima, Yuko Takami, Ken Kawabe, Kazuhiro Tanabe, Chihiro Hayashi, Mikio Mikami, Tetsuya Kusumoto   +6 more
wiley   +1 more source