Experimental Verification of Indirect Evaporative Cooling-Assisted Internally Cooled Liquid Desiccant Dehumidifier

The main objective of this paper is to estimate the system performance of an evaporative cooling assisted outdoor air system for air conditioning a data center. To evaluate the computer room air conditioning (CRAC) system used evaporative cooling technology, a mock-up for evaporative cooling assisted outdoor air system was designed. The feasibility of the evaporative cooling assisted outdoor air system is analysed by experimental test for a modular data center in Anseong, Korea. A mock-up system is designed by 43,000 m3/h of design fan flow, 160kW of the cooling capacity for air conditioning a data center. A design condition for the indirect evaporative cooler was set in 50% of sensible heat exchange efficiency and 65% of indirect evaporative cooling efficiency, respectively. A server rack simulator was installed to adjust the 160kW of sensible heat emission of modular data center. The experiment results show that the 59% of a sensible heat exchange efficiency and 78% of indirect evaporative cooling efficiency under experimental conditions

Clinical Significance of p16 Protein Expression Loss and Aberrant p53 Protein Expression in Pancreatic Cancer

Pancreatic cancer is a disease with poor prognosis mainly due to low resection rates and late diagnosis. To increase resectability and improve survival rates, a better understanding of pancreatic cancer pathogenesis and more effective screening techniques are required. New methods, such as genetic and molecular alterations, may suggest novel approaches for pancreatic cancer diagnosis and treatment. We immunohistochemically investigated 44 formalin-fixed, paraffin-embedded specimens of pancreatic ductal adenocarcinoma using monoclonal anti-p16 antibodies and monoclonal anti-p53 antibodies. The expressions of p16 and p53 proteins were compared using the Chi-square test with SPSS. Disease-free survival was analyzed using the Kaplan-Meier method, verified by the Log-Rank test. Loss of p16 expression was noted in 20 (45.5%) cases and aberrant p53 protein expression was detected in 14 (31.8%) cases. Loss of p16 expression was associated with a higher incidence of lymph node metastasis (p=0.040) and a more advanced stage (p=0.015), although there was no significant correlation between p16 expression and survival. Aberrant p53 protein expression correlated with histologic grade (p=0.038). Disease-free survival rate was significantly lower in the aberrant p53 protein positive group compared to the negative group (p=0.029). From our results, we suggest that p53 is not a prognostic factor; however, p16 and p53 genes do play important roles in the progression of pancreatic ductal adenocarcinoma

SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene

Generative models have shown great promise in synthesizing photorealistic 3D objects, but they require large amounts of training data. We introduce SinGRAF, a 3D-aware generative model that is trained with a few input images of a single scene. Once trained, SinGRAF generates different realizations of this 3D scene that preserve the appearance of the input while varying scene layout. For this purpose, we build on recent progress in 3D GAN architectures and introduce a novel progressive-scale patch discrimination approach during training. With several experiments, we demonstrate that the results produced by SinGRAF outperform the closest related works in both quality and diversity by a large margin.Comment: CVPR 2023. Project page: https://www.computationalimaging.org/publications/singraf