Prospectus, February 19, 1986

https://spark.parkland.edu/prospectus_1986/1004/thumbnail.jp

The Pennsylvania Dutchman Vol. 8, No. 3

● The Dutch Touch in Iron ● The Pennsylvania Dutch Village ● Five June Days ● On an Amish Farm ● Traveling Pennsylvanians ● The Trail of the Stone Arched Bridges in Berks County ● Displaced Dutchmen Crave Shoo-flies ● Florence Starr Taylor ● Pennsylvania Dutch Pioneers ● Zinzendorf and Moravian Research ● Sheep in Dutchlandhttps://digitalcommons.ursinus.edu/dutchmanmag/1010/thumbnail.jp

Conference of Microelectronic Research 1991

https://scholarworks.rit.edu/meec_archive/1004/thumbnail.jp

Appears in the Proceedings of the 4 th International Symposium on Code Generation and Optimization (CGO 04). Compiling for EDGE Architectures

Explicit Data Graph Execution (EDGE) architectures offer the possibility of high instruction-level parallelism with energy efficiency. In EDGE architectures, the compiler breaks a program into a sequence of structured blocks that the hardware executes atomically. The instructions within each block communicate directly, instead of communicating through shared registers. The TRIPS EDGE architecture imposes restrictions on its blocks to simplify the microarchitecture: each TRIPS block has at most 128 instructions, issues at most 32 loads and/or stores, and executes at most 32 register bank reads and 32 writes. To detect block completion, each TRIPS block must produce a constant number of outputs (stores and register writes) and a branch decision. The goal of the TRIPS compiler is to produce TRIPS blocks full of useful instructions while enforcing these constraints. This paper describes a set of compiler algorithms that meet these sometimes conflicting goals, including an algorithm that assigns load and store identifiers to maximize the number of loads and stores within a block. We demonstrate the correctness of these algorithms in simulation on SPEC2000, EEMBC, and microbenchmarks extracted from SPEC2000 and others. We measure speedup in cycles over an Alpha 21264 on microbenchmarks. 1

2006 UNDERLYING PURINERGIC SIGNALING IMPORTANT FOR MONOCILIUM- DEPENDENT SIGNALING IN DUCTAL EPITHELIA: IMPLICATIONS FOR

This thesis concerns purinergic signaling in renal epithelial cells of normal and polycystic kidneys. The first section discusses first principles of “purinergic signaling ” as they relate to the nephron and the urinary bladder. Remodeled and encapsulated cysts in autosomal dominant PKD (ADPKD) and remodeled “pseudocysts ” in autosomal recessive polycystic kidney disease (ARPKD) of the renal collecting duct create an ideal microenvironment for purinergic signaling. Once “trapped ” in these microenvironments in a “closed system, ” purinergic signaling becomes chronic and plays a significant epigenetic and detrimental role in the progression of ADPKD in particular, once the remodeling of the renal tissue has begun. In the PKD “cystic ” microenvironments, we argue that normal purinergic signaling within the lumen of the nephron provides detrimental acceleration of ADPKD once remodeling is complete. The second section presents data that suggest apical monocilia are sensory organelles. Renal epithelial cells release ATP constitutively under basal conditions and release higher quantities of the purine nucleotide in response to different stimuli. I

Computer-aided scoring of erb-b2 receptor tyrosine kinase 2 (HER2) gene amplification status in breast cancer

Background: Identification of HER2 protein overexpression and/or amplification of the HER2 gene are required to qualify breast cancer patients for HER2 targeted therapies. In situ hybridization (ISH) assays that identify HER2 gene amplification function as a stand-alone test for determination of HER2 status and rely on the manual quantification of the number of HER2 genes and copies of chromosome 17 to determine HER2 amplification. Methods: To assist pathologists, we have developed the uPath HER2 Dual ISH Image Analysis for Breast (uPath HER2 DISH IA) algorithm, as an adjunctive aid in the determination of HER2 gene status in breast cancer specimens. The objective of this study was to compare uPath HER2 DISH image analysis vs manual read scoring of VENTANA HER2 DISH-stained breast carcinoma specimens with ground truth (GT) gene status as the reference. Three reader pathologists reviewed 220, formalin-fixed, paraffin-embedded (FFPE) breast cancer cases by both manual and uPath HER2 DISH IA methods. Scoring results from manual read (MR) and computer-assisted scores (image analysis, IA) were compared against the GT gene status generated by consensus of a panel of pathologists. The differences in agreement rates of HER2 gene status between manual, computer-assisted, and GT gene status were determined. Results: The positive percent agreement (PPA) and negative percent agreement (NPA) rates for image analysis (IA) vs GT were 97.2% (95% confidence interval [CI]: 95.0, 99.3) and 94.3% (95% CI: 90.8, 97.3) respectively. Comparison of agreement rates showed that the lower bounds of the 95% CIs for the difference of PPA and NPA for IA vs MR were –0.9% and –6.2%, respectively. Further, inter- and intra-reader agreement rates in the IA method were observed with point estimates of at least 96.7%. Conclusions: Overall, our data show that the uPath HER2 DISH IA is non-inferior to manual scoring and supports its use as an aid for pathologists in routine diagnosis of breast cancer

Harnessing the Power of Data to Improve Agricultural Policy and Conservation Outcomes

Relevant public and private agriculture data in the United States tend to be decentralized and disorganized. Section 12618 of the Agriculture Improvement Act of 2018 is an important first step toward promoting research that will enable changes in agriculture policies and practices