Pengamanan Data Menggunakan Metoda Enkripsi Einstein

Dalam proses demokrasi maka semua orang bebas untuk berbicara mengutarakan pendapat dan pandangannya berdasarkan pribadi dan perasaannya, tentu saja dengan melihat bahwa hak demokrasinya tersebut tidak melanggar hak demokrasi orang lain. Kebebasan berkomunikasi ini juga termasuk kebebasan untuk berbicara dengan orang yang diinginkan. Untuk itu akan sangat mengganggu bila isi pembicaraan terutama yang menggunakan teknologi informasi ternyata bocor kepada orang yang tidak berhak dan secara demokrasi ini melanggar haknya, padahal dalam teknologi informasi yang berkembang secara sangat pesat ini ternyata tidak dibarengi dengan penggunaan alat untuk pengamanan data yang tepat dalam sistem informasi. Salah satu teknik pengamanan data informasi di dunia internet adalah penggunaan teknik algoritma kriptografi. Suatu algoritma kriptografi berisi fungsi-fungsi matematika yang digunakan untuk melakukan proses enkripsi dan dekripsi. Algoritma kriptografi yang digunakan merupakan jenis algoritma kriptografi simetrik yang menggunakan kunci rahasia yang sama untuk proses enkripsi dan dekripsinya. Pada makalah ini dipaparkan penggunaan algoritma kriptografi Einstein sebagai salah satu cara untuk mengamankan data. Pada algoritma Einstein, terdapat proses acak (random) yang menggunakan metoda kongruensial linear. Algoritma Einstein mempunyai kelebihan dalam melakukan proses enkripsi dan dekripsi pada hampir semua jenis file yang umum digunakan. Algoritma Einstein bisa diimplementasikan untuk semua ukuran file

MOESM1 of Elevated IL-17 levels in semi-immune anaemic mice infected with Plasmodium berghei ANKA

Additional file 1

Meta-regression analysis between children's age and DSS association over year of recruitment in South East Asia.

<p>(A) Difference in mean age between DSS and DHF groups; (B) Average age of DSS children over year of recruitment in South East Asia; (C) Average age of DHF children over year of recruitment in South East Asia. Each circle represents a data set in the meta-analysis, and the size of the circle is proportional to study weighting.</p

Flow diagram of the search and review process.

<p>Flow diagram of the search and review process.</p

Association between DSS and Hct level

<p>(A) or platelet count (B). Each symbol represents each category of Hct or platelet in each included study. Straight lines are the fitted first order polynomial models.</p

Meta-analysis of the association between significant factors and the risk of DSS.

<p>Pooled ORs with corresponding 95% CIs of the published results were calculated where more than one study had investigated the marker.</p>*<p>Factor was presented as both dichotomous (frequency of higher values) and continuous (higher value) variables.</p>#<p>Factor was presented as a dichotomous (frequency of higher values) variable.</p>†<p>Factor was presented as a continuous variable.</p>a<p>adjusted odds ratio calculated after the addition of potential missing studies using the trim and fill method of Duvall and Tweedie.</p><p>Hemoconcentration was defined as an increase of hematocrit and presented as both dichotomous (frequency of higher values) and continuous (higher value) variables.</p><p>Neurological signs (any signs) were defined as patients had any signs of convulsion, decreased consciousness, drowsiness, and lethargy.</p><p>A particular dengue serotype infection was defined as a dichotomous variable versus infection with another DENV serotype (e.g., DENV-2 vs. non-DENV-2). Only studies investigated all four strains were included for the analysis.</p

Meta-regression analysis between the proportion of DSS among DHF/DSS cases and year of recruitment.

<p>All studies (A). Sub-regression analysis of all studies except three studies in South America (B), 49 studies in Southeast Asia (C), 16 studies in South Asia (D), seven studies in Caribbean countries (E), and 23 studies in Thailand (F). The logit event rate was calculated as follow: logit event rate = ln[event rate/(1 − event rate)]. The Y-axis on the right shows the proportion of DSS patients amongst DHF/DSS patients. Each circle represents a data set in the meta-analysis, and the size of the circle is proportional to study weighting.</p

Meta-analysis of DENV-2 serotype including subgroup analysis in each country (A) and all countries beside Thailand (B).

<p>(A) Meta-analysis forest plot showing the pooled odd ratio of individual countries (orange symbol) and overall countries (red symbol) for association of DSS with 95% confidence intervals using mixed effect models. (B) The pooled odds ratio in subgroup analysis of all countries excluding Thailand indicated that DENV-2 was not significantly associated with DSS in these areas. The size of the symbol is proportional to study.</p

Protein expression and antigenicity of the candidate proteins.

<p>(<b>A</b>) SDS-PAGE of recombinant <i>E. coli</i> lysates (lane L) and purified protein without inclusion bodies (lane P). Arrows indicate expected molecular weights of oligomers. Other bands are expected SEA-domain cleavage products. (<b>B</b>) Western blots of recombinant protein expression as in (B), probed with anti-HisG antibody. (<b>C</b>) Anti-HisG probed western blots showing oligomerization of proteins with multiple bands of additive ∼30 kDa subunits, and tetramer as the most stable state. (<b>D</b>) Size exclusion gel filtration chromatography of SjCP3842 showed multiple elution peaks, another evidence of oligomerization. (<b>E</b>) Immunoblots showing reactivity of parasite crude antigen preparations (SEA and SWA) with immune sera. (<b>F</b>) The candidate proteins specifically reacted with infected miniature pig sera in IgG ELISA, indicating potential antigenicity during schistosomiasis. Bars represent standard deviation (SD). * = p<0.05, ** = p<0.01. n = 4 for each group.</p

Extracellular loop of the candidate proteins contain SEA-domains.

<p>(<b>A</b>) Modeled molecular structures of the extracellular domains with striking similarity with SEA-domain. Also shown for comparison is the SEA-domain of mouse TMPRSS2. Typical of SEA-domains, the secondary structure components showed an antiparallel arrangement of β-sheets. A summary of structural models of the entire transcripts in this gene family is shown in <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0002644#pntd.0002644.s008" target="_blank">Table S1</a>. (<b>B</b>) Rigid body superposition of SjP3842 (blue) over the highest scoring template, PDB: 2e7v (olive). The graph is the Ramachandran plot (φ/ψ) showing conformational angles distribution of the residues. Over 98% of residues were in the favored regions while less than 2% were in the outlier region. (<b>C</b>) Alignments of SjCP3842 with two well defined SEA-domains (human MUC1 and mouse TMPRSS2). Putative SEA-domain consensus cleavage site (red arrow) was identified between β2 and β3.</p