Results 51 to 60 of about 273,758 (295)

Feeling good and feeling safe in the landscape: a `syntactic' approach [PDF]

open access: yes, 2007
Space syntax is a theory and set of tools and techniques for the analysis of spatial configurations. It was developed at UCL in the late 1970s, as an approach to understanding human spatial organisation and to help architects and urban designers to ...
Dalton, Ruth, Hanson, Julienne
core  

Ranking Spaces for Predicting Human Movement in an Urban Environment

open access: yes, 2008
A city can be topologically represented as a connectivity graph, consisting of nodes representing individual spaces and links if the corresponding spaces are intersected.
Alexander C.   +13 more
core   +1 more source

PIETOOLS: A Matlab Toolbox for Manipulation and Optimization of Partial Integral Operators

open access: yes, 2020
In this paper, we present PIETOOLS, a MATLAB toolbox for the construction and handling of Partial Integral (PI) operators. The toolbox introduces a new class of MATLAB object, opvar, for which standard MATLAB matrix operation syntax (e.g.
bergman   +5 more
core   +1 more source

Advanced Experiment Design Strategies for Drug Development

open access: yesAdvanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang   +3 more
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

open access: yesAdvanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu   +3 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

The evolution of space syntax over the past two decades: evidence from China

open access: yesJournal of Asian Architecture and Building Engineering
China is one of the most researched countries in space syntax. However, the application of the theory in China remains relatively unfamiliar to the international academic community.
Dexin Meng, Jinquan Zhang
doaj   +1 more source

Examination of Traditional Residences in Bitlis on the Zeydan District Scale in the Context of Space Syntax Analysis Techniques

open access: yesSAGE Open, 2020
Spatial and spatio-visual analysis are space syntax analysis techniques that examine spatial configuration with graphs and numeric data. This study is based on spatial and spatio-visual analyses of traditional residences and comparison of these analyses.
Ender Şen, Mine Baran
doaj   +1 more source

Investigating the Urban Spatial Growth by Using Space Syntax and GIS—A Case Study of Famagusta City

open access: yesISPRS International Journal of Geo-Information, 2021
Urban morphology studies generally study how a city grows and transforms to embody its embedded history. This study examines the potentials of using space syntax and GIS methods to study the morphological evolution of traditional city centers throughout ...
Cemil Atakara, Mitra Allahmoradi
doaj   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

open access: yesAdvanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He   +2 more
wiley   +1 more source

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