In order to improve the biological effect of proton therapy, the authors first propose a new method of boron-based proton-enhanced radiotherapy in a " ternary " radiotherapy mode, based on the existing sensitizing effect of proton radiotherapy: i.e, Boron-based mediators (B and B) induce the proton-hydrogen-boron fusion reaction of the low-energy protons arriving at the Bragg peak region of the tumor target area (p+B→3α) and thermal neutron capture (B+n→Li(0.84 MeV)+He(1.47 MeV)+(0.477 MeV)), which release low-energy α-particles with high LETs to enhance the biological effect of proton dose in the target area, thus improve the clinical effect of proton therapy. Then, the advantages and disadvantages of the "ternary" model were analyzed from the theoretical basis and current research status, and finally, the "ternary" model is summarized and prospected.
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http://dx.doi.org/10.12455/j.issn.1671-7104.230563 | DOI Listing |
Sci Rep
January 2025
Department of Economics, Kardan University, Kabul, Afghanistan.
The Internet of Things (IoT) has recently attracted substantial interest because of its diverse applications. In the agriculture sector, automated methods for detecting plant diseases offer numerous advantages over traditional methods. In the current study, a new model is developed to categorize plant diseases within an IoT network.
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January 2025
Department of Materials Science and Engineering, Kyoto University, Sakyo, Kyoto, 606-8501, Japan.
The discovery of novel materials is crucial for developing new functional materials. This study introduces a predictive model designed to forecast complex multi-component oxide compositions, leveraging data derived from simpler pseudo-binary systems. By applying tensor decomposition and machine learning techniques, we transformed pseudo-binary oxide compositions from the Inorganic Crystal Structure Database (ICSD) into tensor representations, capturing key chemical trends such as oxidation states and periodic positions.
View Article and Find Full Text PDFElectromagn Biol Med
January 2025
Department of Applied Mathematics, University of Calcutta, Kolkata, India.
The current investigation explores tri-hybrid mediated blood flow through a ciliary annular model, designed to emulate an endoscopic environment. The human circulatory system, driven by the metachronal ciliary waves, is examined in this study to understand how ternary nanoparticles influence wave-like flow dynamics in the presence of interfacial nanolayers. We also analyze the effect of an induced magnetic field on Ag-Cu-/blood flow within the annulus, focusing on thermal radiation, heat sources, buoyancy forces and ciliary motion.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan 410003, China.
Motivation: Accurately predicting the degradation capabilities of proteolysis-targeting chimeras (PROTACs) for given target proteins and E3 ligases is important for PROTAC design. The distinctive ternary structure of PROTACs presents a challenge to traditional drug-target interaction prediction methods, necessitating more innovative approaches. While current state-of-the-art (SOTA) methods using graph neural networks (GNNs) can discern the molecular structure of PROTACs and proteins, thus enabling the efficient prediction of PROTACs' degradation capabilities, they rely heavily on limited crystal structure data of the POI-PROTAC-E3 ternary complex.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden.
Background: Alzheimer disease (AD) is a progressive neurodegenerative disease that is accountable for the leading case of dementia in elder people. Before, only symptomatic treatments are available for AD. Since 2021, two anti-amyloid antibodies aducanumab and lecanemab have been approved by the US Food and Drug Administration.
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