Results 201 to 210 of about 307,139 (315)
Effects of After-school Horticultural Activities on the Depression and Self-Esteem of Children from Low-Income Families [PDF]
, 2013 Ro Me Seo, Min Jung Lee, Wook Oh
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ESC Heart Failure, Volume 12, Issue 2, Page 955-967, April 2025.Abstract Wild‐type transthyretin amyloid cardiomyopathy (ATTRwt‐CM) is a progressive and infiltrative cardiac disorder that may cause fatal consequences if left untreated. The estimated survival time from diagnosis is approximately 3–6 years. Because of the non‐specificity of initial symptom manifestation and insufficient awareness among treating ...
Yasuhiro Izumiya +9 more
wiley +1 more source
A robust hydroponic system for horticulture farming using deep learning, IoT, and mobile application. [PDF]
PLoS OneNawshad N +5 more
europepmc +1 more source
The first All-Ukrainian horticultural conference 1928 in the history of agricultural research work [PDF]
, 2018 S. Nyzhnyk
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ESC Heart Failure, Volume 12, Issue 2, Page 888-899, April 2025.Abstract Aims Heart failure with preserved ejection fraction (HFpEF) continues to be an increasingly common health problem associated with a high mortality rate. Elevated levels of Growth differentiation factor‐15 (GDF15) and N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) are reportedly associated with poor clinical outcomes in a broad range of ...
Yoichiro Otaki +11 more
wiley +1 more source
Decentralized Wind Energy Systems as Catalysts for Urban Resilience: A Design Framework
Energy Science &Engineering, EarlyView.ABSTRACT Confronting the escalating extreme weather events (EWEs) and intensifying winds, this study proposes an active response to these issues by exploring decentralized wind energy production for Peng Chau Island, Hong Kong. It integrates theoretical perspectives on energy democracy—empowering local communities through energy autonomy—and urban ...
Tian Cheng
wiley +1 more source
Predicting Parameters Affecting Building Energy Consumption Using Machine Learning Models
Energy Science &Engineering, EarlyView.This framework integrates long‐term weather forecasting with building energy simulation to predict energy demand. The CNN–LSTM model achieved the highest accuracy (R2 ≈ 0.95), supporting smart HVAC control with ~ 15% energy savings. ABSTRACT The rapid growth of population and the construction industry have led to an increase in energy demand and an ...
Bassam Musheer Kareem +3 more
wiley +1 more source
Photosynthetic Activity of Vegetable Plants and its Horticultural Significance
, 1972 Tadashi ITO
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