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We report on the design and sensitivity of a new torsion pendulum for measuring the performance of ultra-precise inertial sensors and for the development of associated technologies for space-based gravitational wave observatories and geodesy missions. The apparatus comprises a 1 m-long, 50 μm-diameter tungsten fiber that supports an inertial member inside a vacuum system. The inertial member is an aluminum crossbar with four hollow cubic test masses at each end. This structure converts the rotation of the torsion pendulum into translation of the test masses. Two test masses are enclosed in capacitive sensors which provide readout and actuation. These test masses are electrically insulated from the rest of the crossbar and their electrical charge is controlled by photoemission using fiber-coupled ultraviolet light emitting diodes. The capacitive readout measures the test mass displacement with a broadband sensitivity of 30 nm∕Hz and is complemented by a laser interferometer with a sensitivity of about 0.5 nm∕Hz. The performance of the pendulum, as determined by the measured residual torque noise and expressed in terms of equivalent force acting on a single test mass, is roughly 200 fN∕Hz around 2 mHz, which is about a factor of 20 above the thermal noise limit of the fiber.
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http://dx.doi.org/10.1063/1.4985543 | DOI Listing |
Abdom Radiol (NY)
September 2025
Department of Radiology, Mayo Clinic, Rochester, USA.
Purpose: Crohn's disease (CD) is characterized by enteric inflammation, often resulting in strictures and penetrating complications, which may alter patient management prior to the initiation of biologic therapy. Our aim is to assess the frequency of missed stricturing and internal penetrating complications in CD patients on computed tomography enterography (CTE) and magnetic resonance enterography (MRE) performed prior to anti-TNF therapy.
Methods: We retrospectively reviewed patients from two tertiary centers who underwent CTE\MRE within six months before starting anti-TNF therapy.
PLoS One
September 2025
Korea University College of Medicine, Seoul, Republic of Korea.
Purpose: To develop and validate a deep learning-based model for automated evaluation of mammography phantom images, with the goal of improving inter-radiologist agreement and enhancing the efficiency of quality control within South Korea's national accreditation system.
Materials And Methods: A total of 5,917 mammography phantom images were collected from the Korea Institute for Accreditation of Medical Imaging (KIAMI). After preprocessing, 5,813 images (98.
JACC Case Rep
September 2025
Cardiology Department, University Hospital Álvaro Cunqueiro, Vigo, Spain; Instituto de Investigación Sanitaria Galicia Sur, Vigo, Spain.
Background: Cardiac metastases from choriocarcinoma are exceptionally rare, with only 11 cases reported in the literature to date.
Case Summary: Here we present the case of a 37-year-old woman with progressively worsening exercise intolerance, chest pain, and occasional hemoptysis after childbirth. Initial chest computed tomography revealed a pulmonary mass and a left atrial mass extending from the right inferior pulmonary vein.
PLoS One
September 2025
Department of Diagnostic Imaging, Tohoku University Graduate School of Medicine, 2-1 Seiryo-Machi, Aoba-ku, Sendai, Miyagi, Japan.
Purpose: To investigate the effectiveness of an integrated deep-learning (DL) algorithm, the Mixture of Radiological Findings Specific Experts (MoRFSE), in breast cancer classification by imitating the diagnostic decision-making process of radiologists.
Methods: A total of 2,764 mammographic images (1,462 breast cancer, 248 benign lesions, and 1,054 normal breast tissue) from the TOMPEI-CMMD were used. The MoRFSE comprises three DL models: a gate network for categorization (gNet) and two classification expert networks (cExp and mExp) specialized in capturing the distinct characteristics of calcifications and masses, respectively.
Vet Comp Oncol
September 2025
Laboratory of Molecular Diagnostics and Therapeutics, Joint Graduate School of Veterinary Medicine, Yamaguchi University, Yamaguchi, Japan.
Human epidermal growth factor receptor 2 (HER2) gene mutations have been reported in 5% to 38% of canine pulmonary adenocarcinomas (cPACs), most commonly as V659E mutations in exon 20. However, their prognostic and predictive significance remains unclear. This retrospective, single-centre cohort study investigated the frequency of HER2 mutations in surgically resected cPACs and their association with clinical outcomes.
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