Analysis and Test of Resistive-Open Defects in SRAM Pre-Charge Circuits

In this paper, we present an exhaustive study on the influence of resistive-open defects in pre-charge circuits of SRAM memories. In SRAM memories, the pre-charge circuits operate the pre-charge and equalization at a certain voltage level, in general Vdd, of all the couples of bit lines of the memory array. This action is essential in order to ensure correct read operations. We have analyzed the impact of resistive-opens placed in different locations of these circuits. Each defect studied in this paper disturbs the pre-charge circuit in a different way and for different resistive ranges, but the produced effect on the normal memory action is always the perturbation of the read operations. This faulty behavior can be modeled by Un-Restored Write Faults (URWFs) and Un-Restored Read Faults (URRFs), because there is an incorrect pre-charge/equalization of the bit lines after a write or read operation that disturbs the following read operation. In the last part of the paper, we demonstrate that the test of URWFs is more effective in terms of resistive defect detection than that of URRFs and we list the necessary test conditions to detect them.

Videoendoscopic swallowing study for diagnosis of Zenker''s diverticuli

Eight nonhaemophilic patients with factor VIII (FVIII) inhibitors were reported. There was no difference in sex distribution. Median age at diagnosis was 62 years (ranging from 14 to 73 years). No associated disorders were revealed and all the patients were presented with severe muscular or arthral bleeding. Inhibitor titre was measured by the Bethesda method, which were 6.4, 126.0, 155.0, 4.8, 56.0, 13.5, 35.0 and 150.0 BU mL-1, respectively, at diagnosis. FVIII:C levels were less than 1 U dL-1 in seven patients and less than 2 U dL-1 in one patient. The median vWF:Ag level was 210% (ranging from 80% to 340%). All the patients had good response to activated prothrombin complex concentrates for acute bleeding episodes and prednisone for inhibitor elimination. Inhibitors completely eliminated in seven patients within a follow-up duration over 1 year, and one patient died of intracranial haemorrhage when her inhibitor titre decreased to 4.5 BU mL-1 and FVIII:C increased to 21 U dL-1.     

Glassomer—Processing Fused Silica Glass Like a Polymer

Fused silica glass is one of the most important high‐performance materials for scientific research, industry, and society. However due to its high chemical and thermal resistance as well as high hardness, fused silica glass is notoriously difficult to structure. This work introduces Glassomer, a solid nanocomposite, which can be structured using polymer molding and subtractive technologies at submicrometer resolution. After polymer processing Glassomer is turned into optical grade fused silica glass during a final heat treatment. The resulting glass has the same optical transparency as commercial fused silica and a smooth surface with a roughness of a few nanometers. This work makes high‐performance fused silica glass components accessible to high‐throughput fabrication technologies and will enable numerous optical, photonic and medical applications in science and industry.     

Renal and cardiac complications of drug abuse

The case is presented of a young man who, after prolonged intravenous narcotic administration, developed subacute bacterial endocarditis involving the aortic valve, and rapidly progressive glomerulonephritis. After treatment of and recovery from renal failure, persistent proteinuria was shown to be caused by focal glomerulosclerosis. The association of these lesions with "mainlining" is reviewed.     

A Super-Resolution Framework for High-Accuracy Multiview Reconstruction

We present a variational framework to estimate super-resolved texture maps on a 3D geometry model of a surface from multiple images. Given the calibrated images and the reconstructed geometry, the proposed functional is convex in the super-resolution texture. Using a conformal atlas of the surface, we transform the model from the curved geometry to the flat charts and solve it using state-of-the-art and provably convergent primal–dual algorithms. In order to improve image alignment and quality of the texture, we extend the functional to also optimize for a normal displacement map on the surface as well as the camera calibration parameters. Since the sub-problems for displacement and camera parameters are non-convex, we revert to relaxation schemes in order to robustly estimate a minimizer via sequential convex programming. Experimental results confirm that the proposed super-resolution framework allows to recover textured models with significantly higher level-of-detail than the individual input images.     

Large scale graph-based SLAM using aerial images as prior information

The problem of learning a map with a mobile robot has been intensively studied in the past and is usually referred to as the simultaneous localization and mapping (SLAM) problem. However, most existing solutions to the SLAM problem learn the maps from scratch and have no means for incorporating prior information. In this paper, we present a novel SLAM approach that achieves global consistency by utilizing publicly accessible aerial photographs as prior information. It inserts correspondences found between stereo and three-dimensional range data and the aerial images as constraints into a graph-based formulation of the SLAM problem. We evaluate our algorithm based on large real-world datasets acquired even in mixed in- and outdoor environments by comparing the global accuracy with state-of-the-art SLAM approaches and GPS. The experimental results demonstrate that the maps acquired with our method show increased global consistency.     

Development and Validation of a Novel 11-Gene Prognostic Model for Serous Ovarian Carcinomas Based on Lipid Metabolism Expression Profile

(1) Background: Biomarkers might play a significant role in predicting the clinical outcomes of patients with ovarian cancer. By analyzing lipid metabolism genes, future perspectives may be uncovered; (2) Methods: RNA-seq data for serous ovarian cancer were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus databases. The non-negative matrix factorization package in programming language R was used to classify molecular subtypes of lipid metabolism genes and the limma package in R was performed for functional enrichment analysis. Through lasso regression, we constructed a multi-gene prognosis model; (3) Results: Two molecular subtypes were obtained and an 11-gene signature was constructed (PI3, RGS, ADORA3, CH25H, CCDC80, PTGER3, MATK, KLRB1, CCL19, CXCL9 and CXCL10). Our prognostic model shows a good independent prognostic ability in ovarian cancer. In a nomogram, the predictive efficiency was notably superior to that of traditional clinical features. Related to known models in ovarian cancer with a comparable amount of genes, ours has the highest concordance index; (4) Conclusions: We propose an 11-gene signature prognosis prediction model based on lipid metabolism genes in serous ovarian cancer.     

Towards Keratan Sulfate – Chemoenzymatic Cascade Synthesis of Sulfated N‐Acetyllactosamine (LacNAc) Glycan Oligomers

We report on a novel chemoenzymatic cascade for the synthesis of sulfated N‐acetyllactosamine [(3Galβ1,4GlcNAcβ1,)_n, LacNAc] oligomer structures. Starting from a linker modified GlcNAc substrate di‐ and trisaccharides were first synthesized by sequential use of human β4‐galactosyltransferase‐1 (β4GalT‐1) and β3‐N‐acetylglucosaminyltransferase from Helicobacter pylori (β3GlcNAcT). Subsequent regioselective chemical sulfation rendered the C‐6 mono‐, di‐, and tri‐O‐sulfated products in good yields. Further enzymatic elongation by β4GalT‐1 and β3GlcNAcT in a sequential mode yielded 6‐O‐sulfated LacNAc oligomers up to hexasaccharide length with variable degrees of sulfation. These carbohydrate structures mimic the sulfation pattern found in keratan sulfate and are potential ligands for different classes of glycan binding proteins.

     

Effect of target peak power density on the phase formation,microstructure evolution,and mechanical properties of Cr2AlC MAX-phase coatings

The applicability of Cr₂AlC MAX-phases as protective coatings in energy conversion or aerospace applications requires a dense, single-phase structure. Therefore, we study the effect of target power density and substrate bias on phase formation, microstructure evolution, and mechanical properties of Cr₂AlC coatings utilizing direct current (DCMS) and high-power pulsed magnetron sputtering (HPPMS). Generally, HPPMS results in coatings with superior density and hence larger elastic moduli compared to DCMS, indicating that ion bombardment by ionized film-forming species is beneficial. However, decreasing the substrate bias to ?200 V for DCMS and ?100 V for HPPMS favors the ion bombardment induced formation of the disordered (Cr,Al)₂C_x solid solution. It is evident that there is an optimum moderate ion energy for the formation of dense Cr₂AlC coatings. Too low energy results in the formation of under-dense coatings. Too high energy yields the formation of (Cr,Al)₂C_x in addition to Cr₂AlC.