An Innovative Framework for Urban Allergenic Risk Assessment: Perspectives from Hazard to “Hazard-Exposure-Vulnerability”

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112507 - 112507

Published: Jan. 1, 2025

Language: Английский

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Assessing the allergenic potential of urban green spaces using orthoimagery and airborne LiDAR data

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113353 - 113353

Published: March 18, 2025

Language: Английский

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Quantifying supply and demand of cultural ecosystem services from a dynamic perspective

Land Use Policy, Journal Year: 2024, Volume and Issue: 148, P. 107414 - 107414

Published: Nov. 12, 2024

Language: Английский

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How Do Plant Landscapes Provide Health Benefits to Residents in Urban Green Spaces? Exploring the Role of Restorative Experiences

Forests, Journal Year: 2024, Volume and Issue: 15(8), P. 1424 - 1424

Published: Aug. 14, 2024

Plants are considered important elements of ecosystems and benefit the health human society. However, it is unclear which attributes plant landscapes effectively influence residents’ in urban areas whether this moderated by other factors, such as stress. This study considers link between landscape experiences perceptions. The possible structural relationships them verified with equation modeling on basis stimulus–organism–response theory attention restoration theory. In addition, mediating effect moderating tested via SPSS Process program. results indicate that two dimensions landscapes, esthetics/ functionality vegetation density, restorative and, turn, impact health. Only compatibility experience being-away mediate relationship perceived benefits. Stress does not moderate On these findings, valuable information offered concerning forest city construction green space planning for purpose generating desirable public well-being.

Language: Английский

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An Efficient Dilated DTCN with Residual LSTM-based Allergenicity Prediction for Chemical Compounds using Optimal Weighted Feature Selection and Improved Optimization Mechanism

Published: April 2, 2024

Allergy is the sudden response of immunity system which arises later disclosure allergens like chemicals, proteins and peptides. In early times, multiple techniques were formed for allergenicity forecasting peptides proteins. However, there no technique to anticipate chemical potential allergenic. The standard food allergen recognition mainly depends on vitro vivo research, frequently needs more time expensive. Artificial Intelligence (AI) operates a quick detection model, solves above-defined problems becomes an effective auxiliary tool. Evaluation protein required at any movement transgenic implemented in chain. Therefore, it necessary solve complications involved conventional prediction compounds. Thus, new framework compounds designed using deep learning techniques. Initially, essential data are accumulated from measures. Next, acquired presented optimal weighted feature selection stage. this phase, weights features selected optimally Opposition Tasmanian Devil Optimization (OTDO). Further, adopted offered Here, predicated developed "Dilated Deep Temporal Context Networks with Residual Long Short-Term Memory (DiDNet-ResLSTM)". Hence, recommended model effectively higher performance rate different experimental observations.

Language: Английский

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Fine-scale monitoring of catkins reveals an association between catkin concentration and plant community characteristics and microclimate

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 19, 2024

Language: Английский

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