Enabling Sufficiency Through Smart Locks: Transforming Office Occupancy and Building Management for Energy Savings

In the aftermath of the global pandemic, the widespread embrace of flexible working models has led to suboptimal occupancy levels in office buildings.Despite this shift, traditional space management practices persist, contributing to increased energy consumption per person.This study investigates how integrating smart lock systems can enhance Medic

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A Fast Inference Vision Transformer for Automatic Pavement Image Classification and Its Visual Interpretation Method

Traditional automatic pavement distress detection methods using convolutional neural networks (CNNs) require a great deal of time and resources for computing and are Eau de Parfum poor in terms of interpretability.Therefore, inspired by the successful application of Transformer architecture in natural language processing (NLP) tasks, a novel Transf

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Inorganic Nitrogen Enhances the Drought Tolerance of Evergreen Broad-Leaved Tree Species in the Short-Term, but May Aggravate Their Water Shortage in the Mid-Term

With global climate change, atmospheric nitrogen (N) deposition and drought have been well documented to cause substantial challenges for tropical and subtropical evergreen broad-leaved forests.Here, we conducted an experiment that measured the physiological responses of the seedlings of three dominant tree species (Tabebuia chrysantha, Elaeocarpus

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Diesel Exhaust Particles Induce Impairment of Vascular and Cardiac Homeostasis in Mice: Ameliorative Effect of Emodin

Background/Aim: There is strong epidemiological and clinical evidence that components of the cardiovascular system are adversely affected by particulate air pollutants through the generation of inflammation and oxidative stress.Emodin (1,3,8-trihydroxy-6-methylanthraquinone), which is commonly found in the roots of rhubarb plant, has strong antioxi

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