Results 101 to 110 of about 1,831,585 (228)
ABSTRACT Complex engineered systems routinely face schedule and cost overruns, along with poor post‐deployment performance. Both INCOSE and the U.S. Department of Defense (DoD) have championed Digital Engineering (DE) as a potential remedy, yet most of DE's purported benefits remain anecdotal, and its return on investment (ROI) remains poorly ...
Jannatul Shefa, Taylan G. Topcu
wiley +1 more source
A Spatio‐Temporal Dynamics Model for Indoor Environmental Forecasting
Accurate forecasting of indoor environmental conditions is essential for intelligent building operations and comfort‐oriented controls. However, reliable prediction remains challenging due to spatial heterogeneity across sensing locations, complex multi‐modal interactions, and nonstationary temporal dynamics.
Goro Terumichi +3 more
wiley +1 more source
ABSTRACT This paper develops a three‐layer conceptual framework, comprising surveillance architecture, HRM design choices, and employee responses, to explain how digital surveillance reshapes workplace relationships. Anchored in organizational paradox theory, the framework treats workplace visibility as a persistent, two‐sided tension rather than a ...
Pankaj C. Patel +3 more
wiley +1 more source
Analysis of asynchronous SPMD execution of data parallel algorithms in massively parallel systems
Massively parallel computing systems by their very nature, are suited for problems with a very high degree of parallelism. For this reason, data parallel algorithms are a good match for efficient execution on these architectures. Many real world parallel
Manning, Serge M
core +1 more source
Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley +1 more source
Thinking Inside the Box: Considerations for Putting Data Physicalization Workshops in a Box
Abstract Visualization researchers utilize workshops both for applied research and to engage different populations with visualization‐based activities. While there are many benefits to running visualization workshops, their utility and impact rely on the presence of a researcher who has deep knowledge about visualization theory and practice.
D. Akbaba +4 more
wiley +1 more source
JanusX: an integrated and high-performance platform for scalable genome-wide association studies and genomic selection. [PDF]
SUMMARY As genomic datasets expand in both sample size and marker density, genome‐wide association studies (GWAS) and genomic selection (GS) require workflows that remain statistically rigorous, computationally efficient, and reproducible across the full analysis path, from genotype matrix to decision‐relevant outputs.
Fu J, Jia A, Wang H, Liu HJ.
europepmc +2 more sources
TerraTinker: Crafting Playful Geospatial Visualizations
Abstract With the onset of digital technologies, conveying information to the young generation is becoming evermore challenging, forcing us to explore alternative methods, such as using video games. A typical area that could benefit from innovation is geography, where we want to convey the relationship between selected geographical locations and ...
J. Rosecký +3 more
wiley +1 more source
Metabolic mRNA insufficiency of single cells: Implications for drug targeting and resistance
Because none of the single‐cell mRNA profiles of growing cell populations encoded any pathway towards cell growth, we used cluster‐averaged transcriptomes to estimate protein‐constrained Vmax's and identify (combinations of) subpopulation‐specific targets to overcome drug resistance. (Graphical Abstract was created in BioRender. Liu, Y. (2026). https://
Yanhua Liu, Hans V. Westerhoff
wiley +1 more source
Demystifying HPC: Empowering life scientists in HPC use for BioImage analysis
Abstract High‐performance computing (HPC) has become an essential tool for BioImage analysis as recent advances in microscopy are creating increasingly large and complex datasets, the analysis of which is beyond the capabilities of personal computers.
Camille Charoy +7 more
wiley +1 more source

