DISPLACEMENT ESTIMATION VIA 3D-PRINTED RFID SENSORS FOR STRUCTURAL HEALTH MONITORING: LEVERAGING MACHINE LEARNING AND PHOTOLUMINESCENCE TO OVERCOME DATA GAPS

Monitoring object displacement is critical for structural health monitoring (SHM).Radio frequency identification (RFID) sensors can be used for this purpose.Using more sensors enhances displacement estimation accuracy, especially when it is realized through the use of machine learning (ML) algorithms for predicting the direction of arrival of the a

The relevance of the discussed issue is caused by increasing interest in employing renewable energy sources generators in autonomous energy systems of Siberia and Far East.The main aim of the study is to demonstrate the appliance of long-term local meteorological observations for implementation in mathematical models of Iqbal and Kasten-Czeplak for

Mullerian adenosarcomas are rare and often low-grade mixed tumors that typically respond well to optimal surgical resection.However, adenosarcoma with sarcomatous overgrowth (ASSO) is a high-grade mixed tumor commonly associated with invasion, metastasis, and a poor prognosis.The health care providers herein Control Box report a case study of a pat

Program Sticker The article presents the results of theoretical and experimental research of acoustic emission of friction units during rolling-sliding friction contact.The purpose of this study is the development of a method of accelerated assessment of contact fatigue strength with the application of acoustic emission during friction contact.The

In the past few decades, the indoleamine 2,3 dioxygenase (IDO) subset of the kynurenine (KYN) pathway of tryptophan (TRP) metabolism has been the subject of much research in the area of immune tolerance.In this review, we aim to incorporate new findings on this pathway FIDDLE TREE in relation to allergy and the gut microbiome, while providing a com