Dekomposisi Nilai Singular Dan Discrete Fourier Transform Untuk Noise Filtering Pada Citra Digital

Penggunaan citra digital pada saat ini telah menjadi suatu trend tersendiri. Namun, ketika dilakukan prosespengambilan gambar, seringkali terdapat noise yang masuk ke dalam citra, sehingga menyebabkan timbulnyabercak-bercak yang tidak beraturan. Jika hal ini terjadi, maka proses pengolahan citra yang akan dilakukantidak akan memberikan hasil yang optimal. Oleh karena itu, diperlukan suatu proses noise filtering untukmengurangi noise yang terdapat padanya. Pada makalah ini digunakan SVD (Singular Value Decomposition)dengan bantuan DFT (Discrete Fourier Transform) untuk mengurangi noise yang terdapat pada citra digital.Noise yang dibangkitkan untuk simulasi adalah additive Gaussian noise dan additive Laplacian noise. Denganmetode ini, matriks yang merepresentasikan citra ter-noise akan diuraikan, sehingga dapat diketahuikomponen-komponen matriks yang terpengaruh oleh noise tersebut. Dari hasil penelitian, dapat diketahuibahwa SVD dengan bantuan DFT dapat digunakan untuk mengurangi noise pada citra digital, dan ketikaparameter input yang digunakan optimal, maka kualitas citra hasil filtering yang diberikan pun lebih baikdibandingkan dengan SVD tanpa bantuan DFT

Implementasi Alignment Point Pattern pada Sistem Pengenalan Sidik Jari Menggunakan Template Matching

Fingerprints is one of biometric identification system. This is because fingerprints have unique and different pattern in every human, so identification using fingerprints can no longer be doubted. But, manual fingerprint recognition by human hard to apply because of the complex pattern on it. Therefore, an accurate fingerprint matching system is needed. There are 3 steps needed for fingerprint recognition system, namely image enhancement, feature extraction, and matching. In this study, crossing number method is used as a minutiae extraction process and template matching is used for matching. We also add alignment point pattern  process added, which are ridge translation and  rotation to increase system performance. The system provide a performance of 18,54% with a matching process without alignment point pattern, and give performance of 67,40% by adding alignment point pattern process

Tata Kelola Sekolah RSBI Serta Dampaknya Terhadap Kepuasan Dan Loyalitas Masyarakat

The purpose of this study is getting a good model of school management of RSBI in Semarang. Society's satisfaction and loyalty mostly is determined by transparency, school accountability, and other factors such as, International standardization, academic effectiveness and funding effectiveness at RSBI. The population of this study were all RSBI students and parents in Semarang. The samples were taken by purposive sampling which the samples were taken based on a certain criteria and relevant to the purpose of this research. The data were collected by questionnaires and depth interview. Then, the data were analyzed by descriptive analysis approach to know the important and dominant factors in managing a good RSBI. Furthermore, Partial Least Square analysis (PLS) was used to know the influence of RSBI management (information transparency, school accountability, and other factors) toward society's satisfaction and loyalty in Semarang

Seni Bicara Lewat Typeface Dekoratif dan Komposisi

On this essay, the main topic is related to one of the branch in visual communication design, typography. In the early days, typography derives from hand writing, but nowadays, it has been developed digitally by means of computer. The presence of computers facilitate in making digital typefaces, especially decorative ones. This contributes to its quantities and vast distribution. Literature studies conducted to further understand the definitions and characteristics of digital typefaces. A decorative typeface owns a certain visual characteristic which in the end limits its USAge. Certain characters in decorative typefaces often associated with particular moods or impressions, which can be used to deliver a message. Next is the ideation and visualization by students and teaching staffs in typography class using both analog and digital media to produce typographic compositions using decorative typefaces. The final step is to analyze the compositions to capture its intended message

Prevalence of Listeria spp. with PRS Genes in Fresh Vegetables from Traditional Markets

  Listeriosis is a foodborne infectious disease caused by Listeria monocytogenes and is considered a serious health problem, due to the severity of symptoms and a high mortality rate in worldwide This study aims to identify and determine the prevalence of Listeria species through prs gene screening of fresh vegetables distributed in several markets of Makassar City. A total of 57 fresh vegetable samples were collected from February to May 2019 in four traditional markets Makassar. The isolates is examines to phenotypically and genotypically Vitek and Multiplex PCR with prs and lmo1030 primer. Phenotype analysis did not show the presence of Listeria species, but the results of genotypic was found 8 positive prs gene samples (14.03%), consisting of 31.2% long beans, 18.2% cabbage, and 9.1% cucumber and. All Listeria species found in this study is Listeria monocytogenes. This study also provide information and additional data that prs genes can be used as screening genotype for identify Listeria species in fresh vegetables.Listeriosis is a foodborne infectious disease caused by Listeria monocytogenes and is considered a serious health problem, due to the severity of symptoms and a high mortality rate in worldwide This study aims to identify and determine the prevalence of Listeria species through prs gene screening of fresh vegetables distributed in several markets of Makassar City. A total of 57 fresh vegetable samples were collected from February to May 2019 in four traditional markets Makassar. The isolates is examines to phenotypically and genotypically Vitek and Multiplex PCR with prs and lmo1030 primer. Phenotype analysis did not show the presence of Listeria species, but the results of genotypic was found 8 positive prs gene samples (14.03%), consisting of 31.2% long beans, 18.2% cabbage, and 9.1% cucumber and. All Listeria species found in this study is Listeria monocytogenes. This study also provide information and additional data that prs genes can be used as screening genotype for identify Listeria species in fresh vegetables

Safety and pharmacokinetics of MM-302, a HER2-targeted antibody–liposomal doxorubicin conjugate, in patients with advanced HER2-positive breast cancer: A phase 1 dose-escalation study

BackgroundThis phase 1 dose-escalation trial studied MM-302, a novel HER2-targeted PEGylated antibody-liposomal doxorubicin conjugate, in HER2-positive locally advanced/metastatic breast cancer.MethodsPatients were enrolled in four cohorts: MM-302 monotherapy (8, 16, 30, 40, and 50 mg/m2 every 4 weeks [q4w]); MM-302 (30 or 40 mg/m2 q4w) plus trastuzumab (4 mg/kg q2w); MM-302 (30 mg/m2) plus trastuzumab (6 mg/kg) q3w; MM-302 (30 mg/m2) plus trastuzumab (6 mg/kg) and cyclophosphamide (450 mg/m2) q3w.ResultsSixty-nine patients were treated. The most common adverse events (AEs) were fatigue and nausea. Grade 3/4 AEs of special interest included neutropenia, fatigue, mucosal inflammation, anemia, thrombocytopenia, febrile neutropenia, and palmar-plantar erythrodysesthesia. The MTD was not reached. With MM-302 ≥ 30 mg/m2, overall response rate (ORR) was 13% and median progression-free survival (mPFS) 7.4 months (95% CI: 3·5-10·9) in all arms. In 25 anthracycline-naïve patients, ORR was 28·0% and mPFS 10·9 months (95% CI: 1·8-15·3). Imaging with 64Cu-labeled MM-302 visualized tumor-drug penetrance in tumors throughout the body, including the brain.ConclusionMM-302 monotherapy, in combination with trastuzumab, or trastuzumab plus cyclophosphamide, was well tolerated and showed promising efficacy. The selected phase 2 MM-302 dose was 30 mg/m2 plus 6 mg/kg trastuzumab q3w

Clinical trial simulation to evaluate power to compare the antiviral effectiveness of two hepatitis C protease inhibitors using nonlinear mixed effect models: a viral kinetic approach.

International audienceBACKGROUND: Models of hepatitis C virus (HCV) kinetics are increasingly used to estimate and to compare in vivo drug's antiviral effectiveness of new potent anti-HCV agents. Viral kinetic parameters can be estimated using non-linear mixed effect models (NLMEM). Here we aimed to evaluate the performance of this approach to precisely estimate the parameters and to evaluate the type I errors and the power of the Wald test to compare the antiviral effectiveness between two treatment groups when data are sparse and/or a large proportion of viral load (VL) are below the limit of detection (BLD). METHODS: We performed a clinical trial simulation assuming two treatment groups with different levels of antiviral effectiveness. We evaluated the precision and the accuracy of parameter estimates obtained on 500 replication of this trial using the stochastic approximation expectation-approximation algorithm which appropriately handles BLD data. Next we evaluated the type I error and the power of the Wald test to assess a difference of antiviral effectiveness between the two groups. Standard error of the parameters and Wald test property were evaluated according to the number of patients, the number of samples per patient and the expected difference in antiviral effectiveness. RESULTS: NLMEM provided precise and accurate estimates for both the fixed effects and the inter-individual variance parameters even with sparse data and large proportion of BLD data. However Wald test with small number of patients and lack of information due to BLD resulted in an inflation of the type I error as compared to the results obtained when no limit of detection of VL was considered. The corrected power of the test was very high and largely outperformed what can be obtained with empirical comparison of the mean VL decline using Wilcoxon test. CONCLUSION: This simulation study shows the benefit of viral kinetic models analyzed with NLMEM over empirical approaches used in most clinical studies. When designing a viral kinetic study, our results indicate that the enrollment of a large number of patients is to be preferred to small population sample with frequent assessments of VL

Viral Kinetics Suggests a Reconciliation of the Disparate Observations of the Modulation of Claudin-1 Expression on Cells Exposed to Hepatitis C Virus

The tight junction protein claudin-1 (CLDN1) is necessary for hepatitis C virus (HCV) entry into target cells. Recent studies have made disparate observations of the modulation of the expression of CLDN1 on cells following infection by HCV. In one study, the mean CLDN1 expression on cells exposed to HCV declined, whereas in another study HCV infected cells showed increased CLDN1 expression compared to uninfected cells. Consequently, the role of HCV in modulating CLDN1 expression, and hence the frequency of cellular superinfection, remains unclear. Here, we present a possible reconciliation of these disparate observations. We hypothesized that viral kinetics and not necessarily HCV-induced receptor modulation underlies these disparate observations. To test this hypothesis, we constructed a mathematical model of viral kinetics in vitro that mimicked the above experiments. Model predictions provided good fits to the observed evolution of the distribution of CLDN1 expression on cells following exposure to HCV. Cells with higher CLDN1 expression were preferentially infected and outgrown by cells with lower CLDN1 expression, resulting in a decline of the mean CLDN1 expression with time. At the same time, because the susceptibility of cells to infection increased with CLDN1 expression, infected cells tended to have higher CLDN1 expression on average than uninfected cells. Our study thus presents an explanation of the disparate observations of CLDN1 expression following HCV infection and points to the importance of considering viral kinetics in future studies of receptor expression on cells exposed to HCV

Optimization in computational systems biology

Optimization aims to make a system or design as effective or functional as possible. Mathematical optimization methods are widely used in engineering, economics and science. This commentary is focused on applications of mathematical optimization in computational systems biology. Examples are given where optimization methods are used for topics ranging from model building and optimal experimental design to metabolic engineering and synthetic biology. Finally, several perspectives for future research are outlined