Results 81 to 90 of about 6,691,397 (341)
Expanding the Scope of Statistical Computing: Training Statisticians to Be Software Engineers
Traditionally, statistical computing courses have taught the syntax of a particular programming language or specific statistical computation methods.
Alex Reinhart, Christopher R. Genovese
doaj +1 more source
Data sources and structure [PDF]
Peer Reviewed ; http://deepblue.lib.umich.edu/bitstream/2027.42/72243/1/j.1600-6143.3.s4.3.x ...
Dickinson, David M.+2 more
openaire +4 more sources
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu+17 more
wiley +1 more source
Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria+3 more
wiley +1 more source
On the convex layers of a planer dynamic set of points
The convex hull of a planer set of points can be defined as the set of vertices of the smallest convex polygon containing all the points. If S is a planer set of points then convex layers of S can be derived by iteratively computing the convex hull of S ...
K. R. Wijeweera, S. R. Kodituwakku
doaj +1 more source
Kernel methods for detecting coherent structures in dynamical data
We illustrate relationships between classical kernel-based dimensionality reduction techniques and eigendecompositions of empirical estimates of reproducing kernel Hilbert space (RKHS) operators associated with dynamical systems.
Husic, Brooke E.+3 more
core +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan+2 more
wiley +1 more source
Predicting the impact of public events and mobility in Smart Cities
The ubiquitous presence of smartphones and the ever‐expanding Internet of Things are generating a treasure trove of data on human movement. We harness the power of Artificial Intelligence to extract knowledge within this data, in particular for ...
Elena Bellodi+4 more
doaj +1 more source
Exploring multivariate data structures with local principal curves. [PDF]
A new approach to find the underlying structure of a multidimensional data cloud is proposed, which is based on a localized version of principal components analysis. More specifically, we calculate a series of local centers of mass and move through the
Einbeck, Jochen+4 more
core +1 more source
Predicting Crystal Structures with Data Mining of Quantum Calculations
Predicting and characterizing the crystal structure of materials is a key problem in materials research and development. It is typically addressed with highly accurate quantum mechanical computations on a small set of candidate structures, or with ...
A. Zunger+19 more
core +1 more source