一种基于SVR几何校正的数字水印检测算法

以回归型支持向量机(SVR)理论基础,提出了一种可有效抵抗几何攻击的图像水印检测新算法.该算法首先选取网像的组合矩作为特征向量,并通过SVR对旋转、缩放、平移等几何变换参数进行训练学习,以获得SVR训练模型;然后利用SVR训练模型对待检测图像进行数据预测,并结合预测输出结果对其进行几何校正;最后从已校正数字图像内提取出水印信息.仿真实验结果表明,本文算法对常规信号处理(滤波、叠加噪声、JPEG压缩等)和几何攻击(旋转、缩放、平移、剪切等)均具有较好的鲁棒性

Induction pegylated interferon Alfa-2a and high dose ribavirin do not increase SVR in heavy patients with HCV genotype 1 and high viral loads

Background & Aims Patients infected with hepatitis C virus (HCV) genotype 1, body weight <85 kg, and high baseline viral load respond poorly to standard doses of pegylated interferon (peginterferon) and ribavirin. We evaluated intensified therapy with peginterferon alfa-2a plus ribavirin. Methods This double-blind randomized trial included HCV genotype 1-infected outpatients from hepatology clinics with body weight <85 kg and HCV RNA titer <400,000 IU/mL. Patients were randomized to 180 μg/wk peginterferon alfa-2a for 48 weeks plus 1200 mg/day ribavirin (standard of care) (group A, n = 191) or 1400/1600 mg/day ribavirin (group B, n = 189). Additional groups included 360 μg/wk peginterferon alfa-2a for 12 weeks then 180 μg/wk peginterferon alfa-2a for 36 weeks plus 1200 mg/day ribavirin (group C, n = 382) or 1400/1600 mg/day ribavirin (group D, n = 383). Follow-up lasted 24 weeks after treatment. Results Sustained virologic response rates (HCV RNA level <15 IU/mL at end of follow-up) in groups A, B, C, and D were 38%, 43%, 44%, and 41%, respectively. There were no significant differences among the 4 groups or between pooled peginterferon alfa-2a regimens (A + B vs C + D: odds ratio [OR], 1.08; 95% confidence interval [CI], 0.831.39; P = .584) or pooled ribavirin regimens (A + C vs B + D: OR, 1.00; 95% CI, 0.791.28; P = .974). Conclusions In patients infected with HCV genotype 1 who are difficult to treat (high viral load, body weight <85 kg), a 12-week induction regimen of peginterferon alfa-2a and/or higher-dose ribavirin is not more effective than the standard regimen. © 2010 AGA Institute.

Improvement of platelets after SVR among patients with chronic HCV infection and advanced hepatic fibrosis.

BACKGROUND & AIMS Patients with chronic hepatitis C virus (HCV) infection may develop cirrhosis with portal hypertension, reflected by decreased platelet count and splenomegaly. This retrospective cohort study aimed to assess changes in platelet counts after antiviral therapy among chronic HCV-infected patients with advanced fibrosis. METHODS Platelet counts and spleen sizes were recorded in an international cohort of patients with Ishak 4-6 fibrosis who started antiviral therapy between 1990 and 2003. Last measured platelet counts and spleen sizes were compared to their pre-treatment values (within 6 six months prior to the start of therapy). All registered platelet count measurements from 24 week following cessation of antiviral therapy were included in repeated measurement analyses. RESULTS This study included 464 patients; 353 (76%) had cirrhosis and 187 (40%) attained sustained virological response (SVR). Among patients with SVR, median platelet count, increased by 35 x10(9) /L (IQR 7-62, p<0.001). In comparison, patients without SVR showed a median decline of 17 x10(9) /L (IQR -5-47, p<0.001). In a subgroup of 209 patients, median decrease in spleen size was 1.0 cm (IQR 0.3-2.0) for patients with SVR, while median spleen size increased with 0.6 cm (IQR -0.1-2.0, p<0.001) among those without SVR. The changes in spleen size and platelet count were significantly correlated (R=-0.41, p<0.001). CONCLUSIONS Among chronic HCV-infected patients with advanced hepatic fibrosis the platelet counts improved following SVR and the change in platelets correlated with the change in spleen size following antiviral therapy. These results suggest that HCV eradication leads to reduced portal pressure. This article is protected by copyright. All rights reserved.

Dissertation svr la condemnation des théâtres.

The privilege is granted to "A.S.A.D.M.E.D.C.A.E.P.O.D.S.M. [i.e. au sieur abbé d'Aubignac, maitre en droit canon, avocat et prédicateur ordinaire de Sa Majesté]"

Dissertation historique & critique, svr le martyre de la legion thebéene. Avec l'histoire du martyre de cette legion attribuée à St. Eucher;

Mode of access: Internet.

Commentaire svr le Traité des libertez de l'eglise gallicane ... ensemble trois avtres traitez. I. De l'origine, & du progrés des interdicts ecclesiastiques. II. Des informations de vie & moeurs des nommez aux Eueschez par le roy. III. Histoire de l'origine de la Pragmatique Sanction, faite par le roy Charles VII. l'an 1439. & des Concordats faits l'an 1515.

In manuscript on bookplate: "Des livres de M. Sauveau avocat au parlement.

Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

Background - The binding between peptide epitopes and major histocompatibility complex proteins (MHCs) is an important event in the cellular immune response. Accurate prediction of the binding between short peptides and the MHC molecules has long been a principal challenge for immunoinformatics. Recently, the modeling of MHC-peptide binding has come to emphasize quantitative predictions: instead of categorizing peptides as "binders" or "non-binders" or as "strong binders" and "weak binders", recent methods seek to make predictions about precise binding affinities. Results - We developed a quantitative support vector machine regression (SVR) approach, called SVRMHC, to model peptide-MHC binding affinities. As a non-linear method, SVRMHC was able to generate models that out-performed existing linear models, such as the "additive method". By adopting a new "11-factor encoding" scheme, SVRMHC takes into account similarities in the physicochemical properties of the amino acids constituting the input peptides. When applied to MHC-peptide binding data for three mouse class I MHC alleles, the SVRMHC models produced more accurate predictions than those produced previously. Furthermore, comparisons based on Receiver Operating Characteristic (ROC) analysis indicated that SVRMHC was able to out-perform several prominent methods in identifying strongly binding peptides. Conclusion - As a method with demonstrated performance in the quantitative modeling of MHC-peptide binding and in identifying strong binders, SVRMHC is a promising immunoinformatics tool with not inconsiderable future potential.

SVR-GARCH com misturas de kernels gaussianos

Dissertação (mestrado)—Universidade de Brasília, Departamento de Administração, Programa de Pós-graduação em Administração, 2016.

Campylobacter jejuni and campylobacter coli genotyping by high-resolution melting analysis of a flaA fragment

The highly variable flagellin-encoding flaA gene has long been used for genotyping Campylobacter jejuni and Campylobacter coli. High-resolution melting (HRM) analysis is emerging as an efficient and robust method for discriminating DNA sequence variants. The objective of this study was to apply HRM analysis to flaA-based genotyping. The initial aim was to identify a suitable flaA fragment. It was found that the PCR primers commonly used to amplify the flaA short variable repeat (SVR) yielded a mixed PCR product unsuitable for HRM analysis. However, a PCR primer set composed of the upstream primer used to amplify the fragment used for flaA restriction fragment length polymorphism (RFLP) analysis and the downstream primer used for flaA SVR amplification generated a very pure PCR product, and this primer set was used for the remainder of the study. Eighty-seven C. jejuni and 15 C. coli isolates were analyzed by flaA HRM and also partial flaA sequencing. There were 47 flaA sequence variants, and all were resolved by HRM analysis. The isolates used had previously also been genotyped using single-nucleotide polymorphisms (SNPs), binary markers, CRISPR HRM, and flaA RFLP. flaAHRManalysis provided resolving power multiplicative to the SNPs, binary markers, and CRISPR HRM and largely concordant with the flaA RFLP. It was concluded that HRM analysis is a promising approach to genotyping based on highly variable genes.

Predicting residue-wise contact orders in proteins by support vector regression

Background The residue-wise contact order (RWCO) describes the sequence separations between the residues of interest and its contacting residues in a protein sequence. It is a new kind of one-dimensional protein structure that represents the extent of long-range contacts and is considered as a generalization of contact order. Together with secondary structure, accessible surface area, the B factor, and contact number, RWCO provides comprehensive and indispensable important information to reconstructing the protein three-dimensional structure from a set of one-dimensional structural properties. Accurately predicting RWCO values could have many important applications in protein three-dimensional structure prediction and protein folding rate prediction, and give deep insights into protein sequence-structure relationships. Results We developed a novel approach to predict residue-wise contact order values in proteins based on support vector regression (SVR), starting from primary amino acid sequences. We explored seven different sequence encoding schemes to examine their effects on the prediction performance, including local sequence in the form of PSI-BLAST profiles, local sequence plus amino acid composition, local sequence plus molecular weight, local sequence plus secondary structure predicted by PSIPRED, local sequence plus molecular weight and amino acid composition, local sequence plus molecular weight and predicted secondary structure, and local sequence plus molecular weight, amino acid composition and predicted secondary structure. When using local sequences with multiple sequence alignments in the form of PSI-BLAST profiles, we could predict the RWCO distribution with a Pearson correlation coefficient (CC) between the predicted and observed RWCO values of 0.55, and root mean square error (RMSE) of 0.82, based on a well-defined dataset with 680 protein sequences. Moreover, by incorporating global features such as molecular weight and amino acid composition we could further improve the prediction performance with the CC to 0.57 and an RMSE of 0.79. In addition, combining the predicted secondary structure by PSIPRED was found to significantly improve the prediction performance and could yield the best prediction accuracy with a CC of 0.60 and RMSE of 0.78, which provided at least comparable performance compared with the other existing methods. Conclusion The SVR method shows a prediction performance competitive with or at least comparable to the previously developed linear regression-based methods for predicting RWCO values. In contrast to support vector classification (SVC), SVR is very good at estimating the raw value profiles of the samples. The successful application of the SVR approach in this study reinforces the fact that support vector regression is a powerful tool in extracting the protein sequence-structure relationship and in estimating the protein structural profiles from amino acid sequences.

En sjukdom af högst elakt släckte : Återfallsfebern på Sveaborg och i Karlskrona 1788-1790

Sommaren 1788 drabbades den svenska flottan av en svårartad febersjukdom. Febern, som senare definierats som febris recurrens el. återfallsfeber, hade sitt ursprung i den ryska flottan. Besättningen ombord skeppet Vladislav, krigsbytet från slaget vid Hogland, bar på ett stort antal smittade klädlöss. Efter flottans ankomst till Sveaborg spred sig sjukdomen snabbt bland manskapet, men även bland fästningens garnison. Förhållandena inom militären, både inom lantarmén och framför allt inom flottan, var gynnsamma för epidemiers spridning. De trånga utrymmena, den ensidiga kosten, det undermåliga dricksvattnet, den bristande hygienen: allt gynnade uppkomsten och spridningen av olika epidemier. Manskapets försämrade allmäntillstånd gjorde, att sjukdomarna blev mera förödande än vad de i andra förhållanden skulle ha varit. Bristen på manskap och material under Gustav III:s ryska krig var enormt, bl.a. var bristen på medicinsk personal och -utrustning skriande. Då flottan och armén drabbades av en epidemi av katastrofala dimensioner stod myndigheterna hjälplösa. Epidemin visaqr tydligt hur illa förberett hela kriget var och hur misskött flottans sjukvård var. På Sveaborg var förhållandena fruktansvärda. Halva garnisonen uppges ha avlidit, och det låg travar av lik överallt. Kaserner m.fl. byggnader adapterades till provisoriska lasarett och det rådde brist på allt. De medicinska myndigheterna representerades av den till fästningen skickade andra fältläkaren, som tillsammans med läkarna på fästningen gjorde sitt bästa i enlighet med tidens vårdmetoder. Då den svenska örlogsflottan i november seglat över tilll Karlskrona spred sig epidemin i staden. Sjukdomen grasserade också bland de civila. Då sjukdomens orsak och utbredningssätt var okända, kunde man varken hindra epidemin från att spridas eller genomföra adekvata vårdmetoder. Tvärtom, med de hemförlovade båtsmännen spred sig sjukdomen även till de övriga delarna av riket. Under 1789 var flottan p.g.a. de många sjukdomsfallen närmast operationsoduglig. Under vårvintern och våren 1790 avtog epidemin. Epidemin var ett svårt medicinskt problem. För att utreda situationen i Karlskrona skickade den tillförordnade regeringen, utredningskommissionen och Collegium medicum sina egna representanter till staden. De olika läkarnas sjukdomssyner grundade sig främst på tron om sjukdomars uppkomst genom miasma och förbättrandet av luftkvaliteten sågs som en väsentlig vårdform. I arbetet jämförs de olika myndigheternas och några av de på platsen varande läkarnas syn på sjukdomens art, dess orsaker och ursprung. De flesta härleder sjukdomen till den ryska flottan, och nämner någon form av smitta. Som främsta sjukdomsorsak nämns dock miasma och de rekommenderade vårdformerna representerade den humoralpatologiska synen. Förste amiralitetsläkaren Arvid Faxe representerar dock en annan åsikt, i det att han enbart tror på sjukdomens överföring via smitta. Epidemin var också ett politiskt problem. Epidemin var en lokal angelägenhet ända till dess att flottans operationer hämmades av manskapsbristen, varefter den blev ett ärende på högsta nivå. Kungen ingrep sommaren 1789 genom att grunda en kommision med rätt vidsträckta befogenheter. I Karlskrona verkar de militära myndigheterna och läkarna ha misstrott och skuldsatt varandra för katastrofen, och förhållandet mellan de till staden sända utredarna och militärerna var likaså inflammerat. Genom källorna återspeglas rivalitet, avund och inbördes konkurrens. Personalbristen var svår, och den skyldiga söktes utanför den egna kretsen. Den danskfödde apotekaren med sina påstott otjänliga mediciner blev en ypperlig syndabock. Örlogsflottan beräknas i sjukdomar ha förlorat omkring 10.000 man i döda, huvudsakligen i Karlskrona (civila inberäknade). Armén och Skärgårdsflottan uppges likadeles ha mist omkring 10.000 man, medan antalet i strid stupade armésoldater endast var ca 1500. Sammanlagt antas alltså ca 20.000 människor ha mist livet; både i återfallsfeber, men även i andra, samtidigt grasserande farsoter. I denna siffra är inte de övriga delarna av riket inberäknade. Epidemin i fråga kan alltså på goda grunder anses vara det svenska 1700-talets största medicinska katastrof.

Campylobacter jejuni and Campylobacter coli Genotyping by High-Resolution Melting Analysis of a flaA Fragment.

The highly variable flagellin-encoding flaA gene has long been used for genotyping Campylobacter jejuni and Campylobacter coli. High-resolution melting (HRM) analysis is emerging as an efficient and robust method for discriminating DNA sequence variants. The objective of this study was to apply HRM analysis to flaA-based genotyping. The initial aim was to identify a suitable flaA fragment. It was found that the PCR primers commonly used to amplify the flaA short variable repeat (SVR) yielded a mixed PCR product unsuitable for HRM analysis. However, a PCR primer set composed of the upstream primer used to amplify the fragment used for flaA restriction fragment length polymorphism (RFLP) analysis and the downstream primer used for flaA SVR amplification generated a very pure PCR product, and this primer set was used for the remainder of the study. Eighty-seven C. jejuni and 15 C. coli isolates were analyzed by flaA HRM and also partial flaA sequencing. There were 47 flaA sequence variants, and all were resolved by HRM analysis. The isolates used had previously also been genotyped using single-nucleotide polymorphisms (SNPs), binary markers, CRISPR HRM, and flaA RFLP.flaA HRM analysis provided resolving power multiplicative to the SNPs, binary markers, and CRISPR HRM and largely concordant with the flaA RFLP. It was concluded that HRM analysis is a promising approach to genotyping based on highly variable genes.

Experiences With WM: A Centralised Scheduling Approach for Performance Management of IEEE 802.11 Wireless LANs

In our earlier work ([1]) we proposed WLAN Manager (or WM) a centralised controller for QoS management of infrastructure WLANs based on the IEEE 802.11 DCF standards. The WM approach is based on queueing and scheduling packets in a device that sits between all traffic flowing between the APs and the wireline LAN, requires no changes to the AP or the STAs, and can be viewed as implementing a "Split-MAC" architecture. The objectives of WM were to manage various TCP performance related issues (such as the throughput "anomaly" when STAs associate with an AP with mixed PHY rates, and upload-download unfairness induced by finite AP buffers), and also to serve as the controller for VoIP admission control and handovers, and for other QoS management measures. In this paper we report our experiences in implementing the proposals in [1]: the insights gained, new control techniques developed, and the effectiveness of the WM approach in managing TCP performance in an infrastructure WLAN. We report results from a hybrid experiment where a physical WM manages actual TCP controlled packet flows between a server and clients, with the WLAN being simulated, and also from a small physical testbed with an actual AP.

A flexible hierarchical approach for facial age estimation based on multiple features

Age estimation from facial images is increasingly receiving attention to solve age-based access control, age-adaptive targeted marketing, amongst other applications. Since even humans can be induced in error due to the complex biological processes involved, finding a robust method remains a research challenge today. In this paper, we propose a new framework for the integration of Active Appearance Models (AAM), Local Binary Patterns (LBP), Gabor wavelets (GW) and Local Phase Quantization (LPQ) in order to obtain a highly discriminative feature representation which is able to model shape, appearance, wrinkles and skin spots. In addition, this paper proposes a novel flexible hierarchical age estimation approach consisting of a multi-class Support Vector Machine (SVM) to classify a subject into an age group followed by a Support Vector Regression (SVR) to estimate a specific age. The errors that may happen in the classification step, caused by the hard boundaries between age classes, are compensated in the specific age estimation by a flexible overlapping of the age ranges. The performance of the proposed approach was evaluated on FG-NET Aging and MORPH Album 2 datasets and a mean absolute error (MAE) of 4.50 and 5.86 years was achieved respectively. The robustness of the proposed approach was also evaluated on a merge of both datasets and a MAE of 5.20 years was achieved. Furthermore, we have also compared the age estimation made by humans with the proposed approach and it has shown that the machine outperforms humans. The proposed approach is competitive with current state-of-the-art and it provides an additional robustness to blur, lighting and expression variance brought about by the local phase features.

Användning av tidigare frågor vid frågeutvidgning i informationssökning

Ett sätt att förbättra resultat i informationssökning är frågeutvidgning. Vid frågeutvidgning utökas användarens ursprungliga fråga med termer som berör samma ämne. Frågor som har stort likhetsvärde med ett dokument kan tänkas beskriva dokumentet väl och kan därför fungera som en källa för goda utvidgningstermer. Om tidigare frågor finns lagrade kan termer som hittas med hjälp av dessa användas som kandidater för frågeutvidgningstermer. I avhandlingen presenteras och jämförs tre metoder för användning av tidigare frågor vid frågeutvidgning. För att evaluera metodernas effektivitet, jämförs de med hjälp av sökmaskinen Lucene och en liten samling dokument som berör cancerforskning. Som jämförelseresultat används de omodifierade frågorna och en enkel pseudorelevansåterkopplingsmetod som inte använder sig av tidigare frågor. Ingen av frågeutvidgningsmetoderna klarade sig speciellt bra, vilket beror på att dokumentsamlingen och testfrågorna utgör en svår omgivning för denna typ av metoder.