Two‐dimensional gel electrophoresis of apolipoprotein C‐III and other serum glycoproteins for the combined screening of human congenital disorders of O‐ and N‐glycosylation

Congenital disorders of glycosylation (CDG) are inherited diseases that can affect not only the N‐glycan (e.g. CDG type I and II) but also the O‐glycan biosynthesis pathway. In the absence of specific clinical symptoms, there is a need for a reliable biological screening of these two groups of CDG. Using a few microlitres of human serum, 2‐DE and immunoblotting were applied to the separation and simultaneous detection of the isoforms of the O‐glycosylated protein apolipoprotein C‐III (apoC‐III) and of four N‐glycosylated proteins, namely alpha‐antitrypsin, alpha‐1 acid glycoprotein, haptoglobin and transferrin. For the study of O‐glycosylation, this technique allowed the reliable separation of the three fractions of apoC‐III and the determination of normal percentage values in an adult population. Concerning N‐glycosylation, the study of serum samples from patients with CDG type Ia revealed marked abnormalities systematically affecting the four 2‐DE separated N‐linked glycoproteins. 2‐DE coupled to immunoblotting using a mixture of specific antibodies could be easily and reliably employed for the combined screening of both N‐ and O‐glycosylation disorders in humans.     

Comparative proteomic analysis of differentially expressed proteins in an in vitro cellular carcinogenesis model of oral squamous cell carcinoma

In vitro cellular model is an important tool to be used to investigate the cellular events related to pathophysiological conditions in humans. We have developed an in vitro cellular carcinogenesis model of oral squamous cell carcinoma (OSCC). In this study, we performed comparative proteomic analysis using 2‐DE and LC‐tandem mass chromatography to separate and identify differentially expressed proteins. Forty‐five proteins were identified, including 24 proteins with decreased expression and 19 proteins with increased expression during carcinogenesis from immortalized oral epithelial cells to squamous cancerous cells. The identified known proteins were classified into three ontologies of cellular component, molecular function, and biological process. Further validation of five identified proteins (ANXA1, ANXA2, CTSB, KRT17, and S100A6) in the cellular carcinogenesis model and cancerous tissues from OSCC patients confirmed the comparative proteomic results. Moreover, Annexin A1 and A2 expression levels correlated with the pathological differentiation grade of cancerous tissues. Thus, this work provides a dynamic protein file of differentially expressed proteins in oral squamous carcinoma cells, which could provide clues to study the mechanisms of OSCC carcinogenesis and possibly be developed as potential biomarkers for clinical diagnosis or prognostic monitoring.     

Towards a comprehensive proteome of normal and malignant human colon tissue by 2-D-LC-ESI-MS and 2-DE proteomics and identification of S100A12 as potential cancer biomarker

The aim of this study was to characterize the proteome of normal and malignant colonic tissue. We previously studied the colon proteome using 2‐DE and MALDI‐MS and identified 734 proteins (Roeßler, M., Rollinger, W., Palme S., Hagmann, M.‐L., et al.., Clin. Cancer Res. 2005, 11, 6550–6557). Here we report the identification of additional colon proteins from the same set of tissue samples using a complementary nano‐flow 2‐D‐LC‐ESI‐MS. In total, 484 proteins were identified in colon. Of these, 252 had also been identified by the 2‐DE/MALDI‐MS approach, whereas 232 proteins were unique to the 2‐D‐LC‐ESI‐MS analysis. Comparing protein expression in neoplastic and normal colon tissue indicated elevated expression of several proteins in colorectal cancer, among them the well established tumor marker carcinoembryonic antigen, as well as calnexin, 40S ribosomal protein S15a, serpin H1, and S100A12. Overexpression of these proteins was confirmed by immunoblotting. Serum levels of S100A12 were determined by ELISA and were found to be strongly elevated in colorectal cancer patients compared to healthy individuals. We conclude, that 2‐D‐LC‐ESI‐MS is a powerful approach to identify and compare protein profiles of tissue samples, that it is complementary to 2‐DE/MALDI‐MS approaches and has the potential to identify novel biomarkers.     

Toward the Proteome of the Human Peripheral Blood Eosinophil

Eosinophils (EOSs) are granular leukocytes that have significant roles in many inflammatory and immunoregulatory responses, especially asthma and allergic diseases. We have undertaken a fairly comprehensive proteomic analysis of purified peripheral blood EOSs from normal human donors primarily employing 2‐DE with protein spot identification by MALDI‐MS. Protein subfractionation methods employed included IEF (Zoom^® Fractionator) and subcellular fractionation using differential protein solubilization. We have identified 3141 proteins, which had Mascot expectation scores of 10^?3 or less. Of these 426 were unique and non‐redundant of which 231 were novel proteins not previously reported to occur in EOSs. Ingenuity Pathway Analysis showed that some 70% of the non‐redundant proteins could be subdivided into categories that are clearly related to currently known EOS biological activities. Cytoskeletal and associated proteins predominated among the proteins identified. Extensive protein posttranslational modifications were evident, many of which have not been previously reported that reflected the dynamic character of the EOS. This data set of eosinophilic proteins will prove valuable in comparative studies of disease versus normal states and for studies of gender differences and polymorphic variation among individuals.     

Two dimensional gel electrophoresis of apolipoprotein C‐III and MALDI‐TOF MS are complementary techniques for the study of combined defects in N‐ and mucin type O‐glycan biosynthesis

In the field of diseases related to glycosylation disorders, congenital defects associated with abnormalities in both O‐ and N‐glycosylation of proteins constitute arising novel entities. Defects in subunits of the conserved oligomeric Golgi protein complex have been shown to be involved in an important part of previously unsolved CDG type II combining abnormalities in both mucin type core1 O‐ and N‐glycans; furthermore, recent studies revealed that autosomal recessive cutis laxa type II could also be associated with such combined glycosylation defects. Based on the studies of serum samples from three patients including a case of cutis laxa, we present here evidence that 2‐DE of apolipoprotein C‐III in combination with MALDI‐TOF‐MS analysis of serum O‐ and N‐glycans allow the detection and the biochemical characterization of these newly recognized glycosylation disorders.     

Proteomic analysis of sera of asymptomatic,early‐stage patients with Wilson's disease

Wilson's disease (WD) is characterized by excessive accumulation of intracellular copper in liver and extrahepatic tissues, leading to significant oxidative stress and tissue damage. To date, several diagnostic biomarkers for WD such as serum ceruloplasmin, serum or urine copper levels and copper content in liver have been identified. However, these biomarkers may not be convincing for the diagnosis in some WD patients. To identify additional novel diagnostic biomarkers, we compared the serum protein profiles of asymptomatic childhood WD patients (n=20), without neurologic manifestation or liver cirrhosis, with normal controls (n=13). Fourteen spots, five up‐regulated and nine down‐regulated (>2‐fold), were differentially expressed in WD patients in comparison to normal control on 2‐DE. Among them, three spots were down‐regulated in both male and female WD. MS/MS analysis revealed that the three spots were complement component C3, complement factor B and alpha‐2 macroglobulin. By comparative proteome analysis, complement component C3, complement factor B and alpha‐2 macroglobulin, which are related to oxidative stress and inflammation, turned out to be good candidates for novel diagnostic biomarkers for early stages of WD.     

Comparative proteomic analysis of low stage and high stage endometrioid ovarian adenocarcinomas

Ovarian cancer, the second most common gynecological malignancy, accounts for 3% of all cancers among women in the United States, and has a high mortality rate, largely because existing therapies for widespread disease are rarely curative. Ovarian endometrioid adenocarcinoma (OEA) accounts for about 20% of the overall incidence of all ovarian cancer. We have used proteomics profiling to characterize low stage (FIGO stage 1 or 2) versus high stage (FIGO stage 3 or 4) human OEAs. In general, the low stage tumors lacked p53 mutations and had frequent CTNNB1, PTEN, and/or PIK3CA mutations. The high stage tumors had mutant p53, were usually high grade, and lacked mutations predicted to deregulate Wnt/β‐catenin and PI3K/Pten/Akt signaling. We utilized 2‐D liquid‐based separation/mass mapping techniques to elucidate molecular weight and pI measurements of the differentially expressed intact proteins. We generated 2‐D protein mass maps to facilitate the analysis of protein expression between both the low stage and high stage tumors. These mass maps (over a pI range of 5.6–4.6) revealed that the low stage OEAs demonstrated protein over‐expression at the lower pI ranges (pI 4.8–4.6) in comparison to the high stage tumors, which demonstrated protein over‐expression in the higher pI ranges (pI 5.4–5.2). These data suggest that both low and high stage OEAs have characteristic pI signatures of abundant protein expression probably reflecting, at least in part, the different signaling pathway defects that characterize each group. In this study, the low stage OEAs were distinguishable from high stage tumors based upon the proteomic profiles. Interestingly, when only high‐grade (grade 2 or 3) OEAs were included in the analysis, the tumors still tended to cluster according to stage, suggesting that the altered protein expression was not solely dependent upon tumor cell differentiation. Further, these protein profiles clearly distinguish OEA from other types of ovarian cancer at the protein level.     

Extracting Coupling Matrix From Lossy Filters With Uneven‐Qs Using Differential Evolution Optimization Technique

This article presents an approach based on differential evolution (DE) for extracting coupling matrix (CM) and the uneven unloaded Qs from measured S‐parameters of a narrow band coaxial‐resonator filter with losses. Different from analytical extraction methods and traditional optimization methods, nonideal effects and uneven‐Qs are chosen as unknown parameters to be optimized. In the optimization process, the polynomials of the S‐parameters of a filter can be obtained by the Cauchy method after the unknown parameters are given. Once the rational polynomials having been obtained; the CM with an assigned topology can be extracted. The DE approach will obtain optimal parameters when the difference between the measured S‐parameters and the extracted S‐parameters is minimized, and then the CM and the unloaded Qs of each resonator can be determined using well established techniques. The approach is useful and can be used in computer‐aided turning of microwave filters. Two examples are presented to illustrate the validity of the proposed method.     

In this issue: Proteomics – Clinical Applications 1/2008

In this issue of Proteomics you will find the following highlighted articles: Colon Cancer Complements to 2‐DE from 2‐D‐LC “When you have a good thing going, run with it” – Quote from paleolithic philosopher and hunting consultant. In this case, Thierolf et al. took a colon cancer sample set well‐characterized by 2‐DE‐MALDI PMF and ran it through a 2‐D‐LC‐ESI‐MS protocol. The samples of malignant and normal tissues from the same patient, analyzed by 2‐DE‐MALDI and mass fingerprinting (reported elsewhere) yielded 734 unique proteins. When the same tissue specimens were analyzed by 2‐D‐LC‐ESI‐MS, 484 proteins were identified, 232 of them new and 252 that had been ID’d in the earlier work. The two unique sets exhibited similar functional and ontological profiles, confirming the complementarity of the two methods. Using the data to select up‐regulated proteins for evaluation of potential for serving as biomarkers, they chose S100A12 as particularly interesting. An ELISA found that it was more sensitive but less discriminating than carcinoembryonic antigen. S100A12 is also an inflammation marker. Thierolf, M. et al., Proteomics Clin. Appl. 2008, 2, 11–22 Urinary bladder cancer: A proteomic approach Standing at number five on the US cancer frequency list, urinary bladder cancer costs almost $3 billion a year. No acceptable early detection tests have been developed – it seems no one will volunteer for a “routine” annual cystoscopy, so the 5‐year survival rate has stayed below 50% for many years. Several urinary biomarkers have been developed but fall short in their frequency of false positives or false negatives. Using 2‐DE/MALDI‐TOF MS and Ingenuity Systems’ Pathway Analysis software, Li et al. surveyed invasive urothelial carcinomas for up‐regulated proteins and settled on Choro­ideremia‐like protein (CHML) out of 21 candidates. Immunohistochemistry and Western blotting verified the specificity. The functional pathways found are part of the lipid metabolism, inflammation and molecular transport machinery and CHML is part of the Rab geranylgeranylation pathway. More work is needed to understand the diagnostic potential of CHML. Li, J. et al., Proteomics Clin. Appl. 2008, 2, 78–89. Angina: Looking for markers in all the right places Angina, the chest pain associated with heart attacks, has two forms: stable (SAP) and unstable (UAP). SAP is relieved by rest. UAP pain persists at rest and is often due to formation of a clot which can lead to major or fatal damage (ischemia, myocardial infarct). The ability to distinguish the two would be a boon to hospital emergency care facilities because admission and intensive care are not required for SAP. Brown et al. report here the use of anti‐leukocyte antibody arrays to analyze circulating cells by surface CD antigen type. Starting with 82 antibodies, they could readily distinguish healthy from SAP and UAP cases from 8 and 19 spot intensity differences, respectively. SAP and UAP could be separated with seven markers using spot intensity and cluster analysis, but not as cleanly, possibly because SAP has a tendency to convert to UAP. Brown, A. et al., Proteomics Clin. Appl. 2008, 2, 90–98.     

In pursuit of B-cell synovial autoantigens in rheumatoid arthritis: Confirmation of citrullinated fibrinogen, detection of vimentin, and introducing carbonic anhydrase as a possible new synovial autoantigen

We aimed to investigate potential synovial autoantigens in rheumatoid arthritis (RA) that could trigger the induction of B‐cell autoantibodies. Total protein extract of synovial tissue obtained from seven RA patients was pooled and separated by 1‐DE and 2‐DE. The corresponding blots were probed with sera from RA (n = 30) and disease control samples (n = 30). Protein spots showing a sensitivity of >15% were identified by MS. 1‐D immunoblots revealed one protein band with a specificity in RA of 100%, a sensitivity of 43%, which was identified as fibrinogen β chain. 2‐D analysis revealed the subunits of fibrinogen, especially the β and γ chain, as the most prominent synovial autoantigens. We also identified vimentin, the Sa‐antigen and carbonic anhydrase I as a potentially new synovial autoantigen. The protein patterns of these immunoreactive spots were observed as trains. The spots showing the highest autoimmune reactivity occurred at the acidic side of these trains and were recognized by anticitrullinated protein/peptide antibodies positive RA sera. Antimodified citrulline staining of these patterns confirmed protein citrullination. Therefore, PTMs such as citrullination due to alterations of peptidylarginine deiminase activity or generation of RA‐specific epitopes, should be considered as a trigger in tolerance break.     

Cover Picture: Proteomics – Clinical Applications 1/2008

In this issue of Proteomics you will find the following highlighted articles: Colon Cancer Complements to 2‐DE from 2‐D‐LC “When you have a good thing going, run with it” – Quote from paleolithic philosopher and hunting consultant. In this case, Thierolf et al. took a colon cancer sample set well‐characterized by 2‐DE‐MALDI PMF and ran it through a 2‐D‐LC‐ESI‐MS protocol. The samples of malignant and normal tissues from the same patient, analyzed by 2‐DE‐MALDI and mass fingerprinting (reported elsewhere) yielded 734 unique proteins. When the same tissue specimens were analyzed by 2‐D‐LC‐ESI‐MS, 484 proteins were identified, 232 of them new and 252 that had been ID’d in the earlier work. The two unique sets exhibited similar functional and ontological profiles, confirming the complementarity of the two methods. Using the data to select up‐regulated proteins for evaluation of potential for serving as biomarkers, they chose S100A12 as particularly interesting. An ELISA found that it was more sensitive but less discriminating than carcinoembryonic antigen. S100A12 is also an inflammation marker. Thierolf, M. et al., Proteomics Clin. Appl. 2008, 2, 11–22 Urinary bladder cancer: A proteomic approach Standing at number five on the US cancer frequency list, urinary bladder cancer costs almost $3 billion a year. No acceptable early detection tests have been developed – it seems no one will volunteer for a “routine” annual cystoscopy, so the 5‐year survival rate has stayed below 50% for many years. Several urinary biomarkers have been developed but fall short in their frequency of false positives or false negatives. Using 2‐DE/MALDI‐TOF MS and Ingenuity Systems’ Pathway Analysis software, Li et al. surveyed invasive urothelial carcinomas for up‐regulated proteins and settled on Choro­ideremia‐like protein (CHML) out of 21 candidates. Immunohistochemistry and Western blotting verified the specificity. The functional pathways found are part of the lipid metabolism, inflammation and molecular transport machinery and CHML is part of the Rab geranylgeranylation pathway. More work is needed to understand the diagnostic potential of CHML. Li, J. et al., Proteomics Clin. Appl. 2008, 2, 78–89. Angina: Looking for markers in all the right places Angina, the chest pain associated with heart attacks, has two forms: stable (SAP) and unstable (UAP). SAP is relieved by rest. UAP pain persists at rest and is often due to formation of a clot which can lead to major or fatal damage (ischemia, myocardial infarct). The ability to distinguish the two would be a boon to hospital emergency care facilities because admission and intensive care are not required for SAP. Brown et al. report here the use of anti‐leukocyte antibody arrays to analyze circulating cells by surface CD antigen type. Starting with 82 antibodies, they could readily distinguish healthy from SAP and UAP cases from 8 and 19 spot intensity differences, respectively. SAP and UAP could be separated with seven markers using spot intensity and cluster analysis, but not as cleanly, possibly because SAP has a tendency to convert to UAP. Brown, A. et al., Proteomics Clin. Appl. 2008, 2, 90–98.     

Elevated haptoglobin level of cerebrospinal fluid in Guillain-Barré syndrome revealed by proteomics analysis

Guillain‐Barré Syndrome (GBS) is a rare autoimmune inflammatory polyneuropathy with a high risk of respiratory failure and unclear pathogenesis. Currently, there are no valid biomarkers for diagnosis of GBS. We used 2‐DE and MS to analyze the protein profiles of five pairs of cerebrospinal fluid (CSF) samples of the GBS patients and the patient controls. Three proteins (orosomucoid, haptoglobin and apolipoprotein A‐IV) were up‐regulated, and two proteins (prostaglandin D2 synthase and transthyretin) were down‐regulated in the CSF of the GBS patients. The CSF haptoglobin level, quantified by enzyme‐linked immunosorbent assay, was significantly higher in the GBS patients (12.44 ± 2.70 μg/mL) compared to the chronic inflammatory demyelinating polyradiculoneuropathy (2.82 ± 0.83 μg/mL), viral meningitis (3.57 ± 0.97 μg/mL) and control patients (1.44 ± 0.35 μg/mL, p<0.05). This study indicated that protein profile analysis using a combination of 2‐DE and MS provides an effective strategy for elucidating the pathogenesis and identifying potential CSF biomarkers for GBS. The raised intrathecal synthesis of haptoglobin specifically only in GBS patients, but not in patients with other neurological diseases examined, provides evidence of central nervous system involvement in GBS, and may be used as a potential diagnostic marker for GBS.     

Deblurring and Denoising of Maps between Shapes

Shape correspondence is an important and challenging problem in geometry processing. Generalized map representations, such as functional maps, have been recently suggested as an approach for handling difficult mapping problems, such as partial matching and matching shapes with high genus, within a generic framework. While this idea was shown to be useful in various scenarios, such maps only provide low frequency information on the correspondence. In many applications, such as texture transfer and shape interpolation, a high quality pointwise map that can transport high frequency data between the shapes is required. We name this problem map deblurring and propose a robust method, based on a smoothness assumption, for its solution. Our approach is suitable for non‐isometric shapes, is robust to mesh tessellation and accurately recovers vertex‐to‐point, or precise, maps. Using the same framework we can also handle map denoising, namely improvement of given pointwise maps from various sources. We demonstrate that our approach outperforms the state‐of‐the‐art for both deblurring and denoising of maps on benchmarks of non‐isometric shapes, and show an application to high quality intrinsic symmetry computation.     

On‐the‐Fly and Incremental Technique for Fault Diagnosis of Discrete Event Systems Modeled by Labeled Petri Nets

In this paper, we develop an on‐the‐fly and incremental technique for fault diagnosis of discrete event systems modeled by labeled Petri nets, in order to tackle the combinatorial explosion problem. K‐diagnosability, diagnosability, K_min (the minimum K ensuring diagnosability) and on‐line diagnosis are solved on the basis of the on‐the‐fly and incremental building of two structures, called respectively fault marking graph and fault marking set graph, in parallel. We build on existing results, namely those establishing necessary and sufficient conditions for diagnosability, but we bring mechanisms to make the checking of such conditions potentially more efficient. We show that, in general, analyzing or even building the whole reachability graph is unnecessary to analyze diagnosability and build an on‐line diagnoser. Our technique was implemented in a prototype tool called OF‐PENDA, and a railway level crossing benchmark is used to make a comparative discussion pertaining to efficiency in terms of time and memory relative to some existing approaches.     

Software testing using model programs

A strategy described as ‘testing using M model programs’ (abbreviated to ‘M‐mp testing’) is investigated as a practical alternative to software testing based on manual outcome prediction. A model program implements suitably selected parts of the functional specification of the software to be tested. The M‐mp testing strategy requires that M (M ≥ 1) model programs as well as the program under test, P, should be independently developed. P and the M model programs are then subjected to the same test data. Difference analysis is conducted on the outputs and appropriate corrective action is taken. P and the M model programs jointly constitute an approximate test oracle. Both M‐mp testing and manual outcome prediction are subject to the possibility of correlated failure. In general, the suitability of M‐mp testing in a given context will depend on whether building and maintaining model programs is likely to be more cost effective than manually pre‐calculating P's expected outcomes for given test data. In many contexts, M‐mp testing could also facilitate the attainment of higher test adequacy levels than would be possible with manual outcome prediction. A rigorous experiment in an industrial context is described in which M‐mp testing (with M = 1) was used to test algorithmically complex scheduling software. In this case, M‐mp testing turned out to be significantly more cost effective than testing based on manual outcome prediction. Copyright © 2001 John Wiley & Sons, Ltd.     

Differential expression of ceruloplasmin isoforms in the cerebrospinal fluid of amyotrophic lateral sclerosis patients

Amyotrophic lateral sclerosis (ALS) a fatal degenerative disease that selectively affects motor neurons, likely results from a complex interplay among oxidative injury, excitotoxic stimulation, protein aggregation and genetic factors. Ceruloplasmin (Cp) protein is a ferroxidase that oxidizes toxic ferrous iron to its nontoxic ferric form, protecting the central nervous system (CNS) from iron deposition. Cp is thus considered as one of the main systems dedicated to the protection of the CNS from oxidative stress damage. We investigated Cp protein behaviour in the cerebrospinal fluid (CSF) of ALS patients of recent onset. An increased expression of Cp was observed in ALS (n = 16) compared to two control groups (healthy subjects, n = 11 and peripheral neuropathy patients, n = 10). 2‐DE analysis revealed a differential expression of Cp isoforms in ALS patients compared to controls. ALS samples showed an increase in the relative abundance of more basic Cp forms, corresponding to the nonsialylated proteins. Despite the increase in protein expression, ferroxidase activity evaluated in the CSF of ALS patients was comparable to that of the controls, indicating a Cp functional impairment. Ceruloplasmin isoforms profile may be proposed as disease feature that could provide insight into the molecular mechanisms of ALS pathogenesis.     

Projected Field Similarity for Comparative Visualization of Multi‐Run Multi‐Field Time‐Varying Spatial Data

The purpose of multi‐run simulations is often to capture the variability of the output with respect to different initial settings. Comparative analysis of multi‐run spatio‐temporal simulation data requires us to investigate the differences in the dynamics of the simulations' changes over time. To capture the changes and differences, aggregated statistical information may often be insufficient, and it is desirable to capture the local differences between spatial data fields at different times and between different runs. To calculate the pairwise similarity between data fields, we generalize the concept of isosurface similarity from individual surfaces to entire fields and propose efficient computation strategies. The described approach can be applied considering a single scalar field for all simulation runs or can be generalized to a similarity measure capturing all data fields of a multi‐field data set simultaneously. Given the field similarity, we use multi‐dimensional scaling approaches to visualize the similarity in two‐dimensional or three‐dimensional projected views as well as plotting one‐dimensional similarity projections over time. Each simulation run is depicted as a polyline within the similarity maps. The overall visual analysis concept can be applied using our proposed field similarity or any other existing measure for field similarity. We evaluate our measure in comparison to popular existing measures for different configurations and discuss their advantages and limitations. We apply them to generate similarity maps for real‐world data sets within the overall concept for comparative visualization of multi‐run spatio‐temporal data and discuss the results.     

Shrinkability Maps for Content‐Aware Video Resizing

A novel method is given for content‐aware video resizing, i.e. targeting video to a new resolution (which may involve aspect ratio change) from the original. We precompute a per‐pixel cumulative shrinkability map which takes into account both the importance of each pixel and the need for continuity in the resized result. (If both x and y resizing are required, two separate shrinkability maps are used, otherwise one suffices). A random walk model is used for efficient offline computation of the shrinkability maps. The latter are stored with the video to create a multi‐sized video, which permits arbitrary‐sized new versions of the video to be later very efficiently created in real‐time, e.g. by a video‐on‐demand server supplying video streams to multiple devices with different resolutions. These shrinkability maps are highly compressible, so the resulting multi‐sized videos are typically less than three times the size of the original compressed video. A scaling function operates on the multi‐sized video, to give the new pixel locations in the result, giving a high‐quality content‐aware resized video. Despite the great efficiency and low storage requirements for our method, we produce results of comparable quality to state‐of‐the‐art methods for content‐aware image and video resizing.     

Uniformity and bias‐temperature instability of bottom‐gate zinc oxide thin‐film transistors (ZnO TFTs)

Abstract— Short‐range uniformity and bias‐temperature (BT) instability of ZnO TFTs with SiO^x/SiN^x stacked gate insulators which have different surface treatments have been investigated. The short‐range uniformity of ZnO TFTs was drastically improved by N²O plasma treatment of the gate insulator. The variation in the gate voltage where a drain current of 1‐nA flows (Vgs at an Ids of 1 nA) was dramatically reduced from ±1.73 V to ±0.07 V by N²O plasma treatment of the gate insulator. It was clarified that the variations in the subthreshold characteristics of the ZnO TFTs could be reduced by N²O plasma treatment of the gate insulator due to a decrease in the variation of trap densities in deep energy levels from 0.9–2.0 × 10¹⁷ to 1.2–1.3×10¹⁷ cm^?3‐eV^?1. From the BT stress tests, a positive shift of Vgs at an Ids of 1 nA could be reduced by N²O plasma treatment of the gate insulator due to a decrease in the charge traps in the gate insulator. When the gate‐bias stress increases, state creation occured in the ZnO TFTs in addition to the charge trapping in the gate insulator. However, N²O plasma treatment of the gate insulator has little effect on the suppression of the state creation in ZnO TFTs under BT stress. The surface treatment of the gate insulator strongly affects the short‐range uniformity and the BT instability of Vth in the ZnO TFTs.