A STRUCTURAL ANALYSIS OF FACTORS INFLUENCING INFILL DEVELOPMENT IN BROWNFIELDS: A FORESIGHT STUDY APPROACH (CASE STUDY: BRONSI BARRACKS, MASHHAD)

A Structural Analysis of Factors Influencing Infill Development in Brownfields: A Foresight Study Approach (Case Study: Bronsi Barracks, Mashhad)

Land use planning skirt plays a crucial role in urban planning by addressing urban needs, tackling land scarcity challenges, and determining the physical growth of cities.Urban redevelopment, specifically the revitalization of vacant and abandoned lands, serves as an effective strategy to optimize land utilization, mitigate pollution, and enhance t

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Penile autotransplantation in rats: An animal model

Context: Penile allotransplantation might be a viable option for patients who need penile reconstruction.Aims: A successful autotransplantation rat model is the first step toward proceeding for allotransplantation.We herein evaluate autotransplantation following transaction of the rat penis just Fuel Rails distal to the urethral bulb.Settings and D

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KECANDUAN KUASA: TIPOLOGI DAN PENYEBAB

This paper discuss on addict skirt of the power, namely people who experienced an addict to the power both legislative and executive arena.This study try to find answers what kinds of social construction and how to interpret on the power due to people experienced an addict to Handsoap the power as well as to construct typology of addict of the powe

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Leveraging principles of behavioural economics to encourage patient engagement with population health screening programmes

Cardiovascular disease is a leading cause of morbidity and mortality worldwide.We leveraged behavioural economics principles to encourage screening for cardiovascular disease risk factors.In a pilot, 60 high-risk patients were offered a complimentary Taco Holders home BP monitor and a lipid test through more convenient means (local lab, home phlebo

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The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification

Functional connectivity (FC) obtained from resting-state functional magnetic resonance imaging has been integrated with machine learning algorithms to deliver consistent and reliable brain disease classification outcomes.However, in classical learning procedures, custom-built specialized feature selection techniques are typically used skirt to filt

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