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The second phase accelerator for the Dual Axis Hydrodynamic Test facility (DARHT) is designed to provide an electron beam pulse that is 2 microsec long, 2kA, and 20 MeV in particle energy. The injector provides 3.2 MeV so that the linac…

Accelerator Physics · Physics 2007-05-23 HL Rutkowski , LL Reginato , WL Waldron , KP Chow , MC Vella , WM Fawley , R Briggs , S Nelson , Z Wolf , D Birx

The immunohistochemical (IHC) staining of the human epidermal growth factor receptor 2 (HER2) biomarker is widely practiced in breast tissue analysis, preclinical studies and diagnostic decisions, guiding cancer treatment and investigation…

The 1.7-GeV 100-mA CW proton linac is now under design for the Accelerator Production of Tritium (APT) Project. The APT linac comprises both the normal conducting (below 211 MeV) and superconducting (SC) sections. The high current leads to…

Accelerator Physics · Physics 2007-05-23 Sergey S. Kurennoy

Prostate cancer diagnosis heavily relies on histopathological evaluation, which is subject to variability. While immunohistochemical staining (IHC) assists in distinguishing benign from malignant tissue, it involves increased work, higher…

Red-blood-cell lysis (HC50) is the principal safety barrier for antimicrobial-peptide (AMP) therapeutics, yet existing models only say "toxic" or "non-toxic." AmpLyze closes this gap by predicting the actual HC50 value from sequence alone…

Biomolecules · Quantitative Biology 2025-08-15 Peng Qiu , Hanqi Feng , Meng-Chun Zhang , Barnabas Poczos

Contrast-enhanced computed tomography angiograms (CTAs) are widely used in cardiovascular imaging to obtain a non-invasive view of arterial structures. However, contrast agents are associated with complications at the injection site as well…

Image and Video Processing · Electrical Eng. & Systems 2020-03-04 Anirudh Chandrashekar , Ashok Handa , Natesh Shivakumar , Pierfrancesco Lapolla , Vicente Grau , Regent Lee

Vehicle recognition is a fundamental problem in SAR image interpretation. However, robustly recognizing vehicle targets is a challenging task in SAR due to the large intraclass variations and small interclass variations. Additionally, the…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Weijie Li , Wei Yang , Wenpeng Zhang , Tianpeng Liu , Yongxiang Liu , Li Liu

Early detection improves prognosis in pancreatic ductal adenocarcinoma (PDAC) but is challenging as lesions are often small and poorly defined on contrast-enhanced computed tomography scans (CE-CT). Deep learning can facilitate PDAC…

Image and Video Processing · Electrical Eng. & Systems 2022-01-14 Natália Alves , Megan Schuurmans , Geke Litjens , Joeran S. Bosma , John Hermans , Henkjan Huisman

Data profiling has garnered increasing attention within the data science community, primarily focusing on structured data. In this paper, we introduce a novel framework called panacea, designed to profile known cancer target combinations in…

Computational Engineering, Finance, and Science · Computer Science 2024-10-16 Baihui Xu , Sourav S Bhowmick , Jiancheng Hu

Cancer is one of the most life-threatening diseases worldwide, and head and neck (H&N) cancer is a prevalent type with hundreds of thousands of new cases recorded each year. Clinicians use medical imaging modalities such as computed…

Image and Video Processing · Electrical Eng. & Systems 2023-06-02 Ikboljon Sobirov

Skin cancer is among the most prevalent and life-threatening diseases worldwide, with early detection being critical to patient outcomes. This work presents a hybrid machine and deep learning-based approach for classifying malignant and…

Image and Video Processing · Electrical Eng. & Systems 2025-06-05 Muhammad Zubair Hasan , Fahmida Yasmin Rifat

We present a global explainability method to characterize sources of errors in the histology prediction task of our real-world multitask convolutional neural network (MTCNN)-based deep abstaining classifier (DAC), for automated annotation…

Histology method is vital in the diagnosis and prognosis of cancers and many other diseases. For the analysis of histopathological images, we need to detect and segment all gland structures. These images are very challenging, and the task…

Image and Video Processing · Electrical Eng. & Systems 2019-11-05 Safiye Rezaei , Ali Emami , Nader Karimi , Shadrokh Samavi

Proteolysis-targeting chimeras (PROTACs) represent a promising therapeutic modality that induces targeted protein degradation by hijacking the ubiquitin-proteasome system. However, rational PROTAC design remains challenging due to the…

Quantitative Methods · Quantitative Biology 2026-05-20 Stefano Ribes , Nils Dunlop , Rocío Mercado

The planned HL-LHC (High Luminosity LHC) in 2025 is being designed to maximise the physics potential through a sizable increase in the luminosity up to 6*10^34 cm^-2 s^-1. A consequence of this increased luminosity is the expected radiation…

Accurate and scalable cancer diagnosis remains a critical challenge in modern pathology, particularly for malignancies such as breast, prostate, bone, and cervical, which exhibit complex histological variability. In this study, we propose a…

Image and Video Processing · Electrical Eng. & Systems 2025-08-18 Faisal Ahmed

The chemical abundances in damped Lyman-alpha systems (DLAs) show more than 2 orders of magnitude variation at a given epoch, possibly because DLAs arise in a wide variety of host galaxies. This could significantly bias estimates of…

Astrophysics · Physics 2007-05-23 M. T. Murphy , S. J. Curran , J. K. Webb

Background: A subset of histo-blood group antigens including ABO and Lewis are oligosaccharide structures which may be conjugated to lipids or proteins. They are known to be important recognition motifs not only in the context of blood…

Tissues and Organs · Quantitative Biology 2019-03-08 Viktoria Dotz , Manfred Wuhrer

Despite their dynamic nature, certain chromatin marks must be maintained over the long term. This is particulary true for histone 3 lysine 9 (H3K9) trimethylation, that is involved in the maintenance of healthy differentiated cellular…

Molecular Networks · Quantitative Biology 2018-01-18 Charly Jehanno , Gilles Flouriot , Pascale Le Goff , Denis Michel

Spatial transcriptomics enables interrogating the molecular composition of tissue with ever-increasing resolution and sensitivity. However, costs, rapidly evolving technology, and lack of standards have constrained computational methods in…

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