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Context: The formulation of appropriate differential diagnoses for a slide is essential to the practice of surgical pathology but can be particularly challenging for residents and fellows. Algorithmic flow charts can help the less experienced pathologist to systematically consider all possible choices and eliminate incorrect diagnoses. They can assist pathologists-in-training in developing orderly, sequential, and logical thinking skills when confronting difficult cases.
Objective: To present an algorithmic flow chart as an approach to formulating differential diagnoses for lesions seen in surgical neuropathology.
Design: An algorithmic flow chart to be used in teaching residents.
Results: Algorithms are not intended to be final diagnostic answers on any given case. Algorithms do not substitute for training received from experienced mentors nor do they substitute for comprehensive reading by trainees of reference textbooks. Algorithmic flow diagrams can, however, direct the viewer to the correct spot in reference texts for further in-depth reading once they hone down their diagnostic choices to a smaller number of entities. The best feature of algorithms is that they remind the user to consider all possibilities on each case, even if they can be quickly eliminated from further consideration.
Conclusions: In Part II, we assist the resident in arriving at the correct diagnosis for neuropathologic lesions containing granulomatous inflammation, macrophages, or abnormal blood vessels.
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http://dx.doi.org/10.5858/2006-130-1639-AAATTB | DOI Listing |
Sci Rep
March 2025
College of Computer and Control Engineering, Northeast Forestry University, Harbin, 150040, China.
With the explosive growth of terminal devices, scheduling massive parallel task streams has become a core challenge for distributed platforms. For computing resource providers, enhancing reliability, shortening response times, and reducing costs are significant challenges, particularly in achieving energy efficiency through scheduling to realize green computing. This paper investigates the heterogeneous parallel task flow scheduling problem to minimize system energy consumption under response time constraints.
View Article and Find Full Text PDFIEEE Trans Vis Comput Graph
March 2025
Flow fields are often partitioned into data blocks for massively parallel computation and analysis based on blockwise relationships. However, most of the previous techniques only consider the first-order dependencies among blocks, which is insufficient in describing complex flow patterns. In this work, we present FlowHON, an approach to construct higher-order networks (HONs) from flow fields.
View Article and Find Full Text PDFJ Chem Theory Comput
March 2025
School of Chemical Sciences, University of Auckland, Auckland 1010, New Zealand.
Graph neural networks (GNNs) have revolutionized catalysis research with their efficiency and accuracy in modeling complex chemical interactions. However, adapting GNNs trained on nonaqueous data sets to aqueous systems poses notable challenges due to intricate water interactions. In this study, we proposed an active learning-based fine-tuning approach to extend the applicability of GNNs to aqueous environments.
View Article and Find Full Text PDFPhotoacoustics
April 2025
Department of Biomedical Engineering, City University of Hong Kong, 83 Tat Chee Ave, Kowloon, Hong Kong.
Advanced multi-wavelength pulsed laser is a key technique for functional optical-resolution photoacoustic microscopy (OR-PAM). By utilizing the stimulated Raman scattering (SRS) effect, we can generate various wavelengths from a single-wavelength pump laser, offering a simple and cost-effective solution for OR-PAM. However, existing multi-wavelength SRS lasers typically require fine alignment of many free-space optical components with single-mode fibers, which are susceptible to mechanical disturbances and temperature fluctuations, leading to high maintenance costs.
View Article and Find Full Text PDFHeliyon
February 2025
Electrical and Electronics Engineering, Panimalar Engineering College, Chennai, 600123, India.
Enhancing the overall efficiency of thermal power plants has gained significant traction in contemporary society. While several methods have been developed for this purpose, a notable gap exists in the examination of how temperature and water flow rate control impacts the efficiency of thermal power generation. The initial step involves the utilization of demineralized water.
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