Results 71 to 80 of about 398 (165)

Reliability Modeling of OSS Systems based on Innovation-Diffusion Theory and Imperfect Debugging [PDF]

Annals of computer science and information systems, 2017
Neha Gandhi, Neha Gondwal, Abhishek Tandon   +2 more
doaj   +1 more source

One Yeast, Sixteen Synthetic Chromosomes, Infinite Possibilities

Yeast, Volume 43, Issue 4, Page 143-158, July 2026.
ABSTRACT The evolution of the yeast, Saccharomyces cerevisiae, from a genetically tractable model organism to a chassis for genome‐scale engineering represents one of the most influential trajectories in eukaryotic biology. The Synthetic Yeast Genome Project (Sc2.0) embodies the current height of this trajectory, having now delivered functional ...
Edward Archer, Roy S. K. Walker, Paige E. Erpf, Ian T. Paulsen, Isak S. Pretorius   +4 more
wiley   +1 more source

Software reliability modeling with testing-effort function and imperfect debugging

TELKOMNIKA Indonesian Journal of Electrical Engineering, 2012
Considering testing effort and imperfect debugging in reliability modeling process may further improve the fitting and prediction results of software reliability growth models (SRGMs). For describing the S-shaped varying trend of the testing-effort increasing rate more accurately, this paper first proposes a inflected S-shaped testing effort function ...
ZHAO Qian, ZHENG Jun, LI Jing
openaire   +1 more source

Droughts and human impact in the ancient Uaymil region of the Maya lowlands inferred from a 2800‐year sedimentary archive at Lake Kaná, Mexico

Boreas, Volume 55, Issue 3, Page 768-789, July 2026.
The relationship between the climate and societal transformation in Maya lowlands has long been debated, particularly the role of drought in shaping the civilization trajectory during the Classic Period. A high‐resolution, multi‐proxy, geochemical record from Lake Kaná, located in the underexplored Uaymil region of the Yucatán Peninsula in Mexico ...
Haydar B. Martinez‐Dyrzo, Priyadarsi D. Roy, Benjamin Gwinneth, Irma G. Vargas‐Martinez, Alejandro A. Aragon‐Moreno, Roger Medina‐Gonzales   +5 more
wiley   +1 more source

Empowering data science education through low‐code and no‐code analytics platforms: A pedagogical roadmap

Decision Sciences Journal of Innovative Education, Volume 24, Issue 3, July 2026.
Abstract The growing demand for data literacy across disciplines has intensified the need for instructional approaches that balance technical rigor with accessibility, engagement, and real‐world relevance. In data science education, code‐centric instruction can support technical depth, but it may also divert novice learners’ attention toward syntax and
Dursun Delen
wiley   +1 more source

Imaging Point Source Groundwater Discharges in a Confined Coastal Aquifer Using Electrical Resistivity

Groundwater, Volume 64, Issue 4, Page 405-421, July/August 2026.
Marine electrical resistivity tomography (ERT) is applied to characterize point‐source submarine groundwater discharge (PSGD) along NW Yucatán. ERT observations and forward modeling constrain conduit detectability under varying hydrogeological conditions.
Mariana Gómez‐Nicolás, Armando Huitzilt‐Rodriguez, Enrique Iñiguez, Roger Pacheco‐Castro, Marco Pérez‐Flores, Paulo Salles, Fiona Whitaker   +6 more
wiley   +1 more source

Provenance legacies override species effects in shaping oak rhizosphere microbiomes and metabolomes

New Phytologist, Volume 251, Issue 1, Page 488-504, July 2026.
Graphical representation of experimental setup. Quercus spp. seeds were collected at two origins: upper Rhine basin (URB) and north German lowland (NGL). Summary As climate change drives more frequent drought‐heat extremes, selecting drought‐tolerant trees is crucial for future forest resilience. However, the role of tree–microbial associations remains
Sebastian Bibinger, Tetyana Nosenko, Prasath Balaji Sivaprakasam Padmanaban, Stefanie Schulz, Hilke Schroeder, Birgit Kersten, Ina Zimmer, Franz Buegger, Michael Schloter, Jörg‐Peter Schnitzler   +9 more
wiley   +1 more source

Leveraging explanations in interactive machine learning: An overview. [PDF]

Front Artif Intell, 2023
Teso S, Alkan Ö, Stammer W, Daly E.
europepmc   +1 more source

Nonhomogeneous Poisson process software reliability model incorporating initial fault diversification and dependent failures. [PDF]

Sci Prog
Kim YS, Song KY, Pham H, Chang IH.
europepmc   +1 more source

Applying a system dynamics approach for decision-making in software testing projects. [PDF]

PLoS One
Li W, Fang CC.
europepmc   +1 more source