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Development of the membrane ceiling method for in vitro spermatogenesis.
Sci Rep
January 2025
Research Institute for Microbial Diseases, Osaka University, Osaka, Japan.
Spermatogenesis is one of the most complex processes of cell differentiation and its failure is a major cause of male infertility. Therefore, a proper model that recapitulates spermatogenesis in vitro has been long sought out for basic and clinical research. Testis organ culture using the gas-liquid interphase method has been shown to support spermatogenesis in mice and rats.
View Article and Find Full Text PDFFabrication of 3D printed hollow spheres for quality control and feasibility for use with xSPECT bone.
Phys Eng Sci Med
December 2024
Department of Medical Imaging and Nuclear Medicine, Gosford Hospital, Building K3, Gosford, NSW, Australia.
Quantitative accuracy and constancy of Siemens xSPECT Bone quantitative reconstruction algorithm (xBone) can be monitored using activity-filled hollow spheres, which could be 3D printed (3DP) to increase accessibility to phantoms. One concern is that 3D prints can have air gaps in the walls which may pose issues for attenuation correction and xBone tissue zone mapping. This study assessed the feasibility of using 3DP spheres (3DP-S) with materials PLA, PETG and Resin as substitutes for commercial hollow spheres (C-S).
View Article and Find Full Text PDFOptimizing demand response and load balancing in smart EV charging networks using AI integrated blockchain framework.
Sci Rep
December 2024
Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, Kyiv-57, 03680, Kyiv, Ukraine.
The integration of Electric Vehicles (EVs) into power grids introduces several critical challenges, such as limited scalability, inefficiencies in real-time demand management, and significant data privacy and security vulnerabilities within centralized architectures. Furthermore, the increasing demand for decentralized systems necessitates robust solutions to handle the growing volume of EVs while ensuring grid stability and optimizing energy utilization. To address these challenges, this paper presents the Demand Response and Load Balancing using Artificial intelligence (DR-LB-AI) framework.
View Article and Find Full Text PDFEnhanced high-sensitivity multi-layer neutron detector based on LiF:ZnS(Ag) scintillator.
Sci Rep
December 2024
Nuclear Engineering Unit, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
This study proposes a novel, highly sensitive neutron detector design utilizing a unique multi-layered configuration. Each layer consists of a LiF: ZnS(Ag) scintillator coupled with a transparent neutron moderator that also functions as a light guide for the Silicon Photomultiplier (SiPM) light sensor. This design offers a cost-effective and readily available alternative for existing neutron detectors.
View Article and Find Full Text PDFArtificial intelligence in emergency and trauma radiology: ASER AI/ML expert panel Delphi consensus statement on research guidelines, practices, and priorities.
Emerg Radiol
December 2024
Emergency Radiology, Department of Radiology, Massachusetts General Hospial, Boston, USA.
Background: Emergency/trauma radiology artificial intelligence (AI) is maturing along all stages of technology readiness, with research and development (R&D) ranging from data curation and algorithm development to post-market monitoring and retraining.
Purpose: To develop an expert consensus document on best research practices and methodological priorities for emergency/trauma radiology AI.
Methods: A Delphi consensus exercise was conducted by the ASER AI/ML expert panel between 2022-2024.
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