UNSUPERVISED CLASSIFICATION AND CHOICE OF CLASSES: BAYESIAN APPROACH

We have given a solution to the problem of unsupervised classifica,tioll of multidinlensional data. Our approach is based on Bayesian estimation which regards the number of classes, the data partition and the parameter vectors that describe the density of classes as unknowns. We compute their MAP estimates simultaneously by maximizing their joint posterior -probability density given the data. The concept of partition as a variable to be estimated hasn\u27t been considered. This formulation also solves the problem of validating clusters obtained from various methods. Our method can also incorporate any additional information &about a class while assigning its prohability density. It can also ut,ilize any available training samples that arise from different classes. We provide a. descent algorithm that starts with an arbitrary partition of the data, and iteratively computes the MAP estimates. We also focus on robust regression which is a special case of unsupervised classification with two classes; inliers and outliers. The problem of intensity image segmentation is posed as an unsupervised classification problem and solved using the Bayesian formulation a multiscale set up. The proposed method is also applied to data sets that occur in statistical literature and target tracking. The results ohbtained demonstrate the power of Bayesian approach for unsupervised classification

Application of the Weibull distribution for the optimization of maintenance policies of an electronic railway signaling system

ESREL 2017, European Safety and Reliability Conference, PORTOROZ, SLOVÉNIE, 18-/06/2017 - 22/06/2017This paper presents the advantages of using Weibull distribution to describe reliability figures of an electronic railway signaling system, respect to the commonly used exponential distribution. After presenting the context of reliability estimations within the railway domain, this work introduces the approach to use field-return data to build up reliability parameters instead of predictive methodologies, and it is applied to an existing electronic signaling system. A comparison between the two methodologies is also provided, as well as the introduction of further reliability indicators. A model to improve preventive maintenance tasks defining the optimum time interval is then presented and an example is provided. Some suggestions to improve the process of collecting field-return data are presented impacting both the after-sales logbook and the design of the circuit boards

DNA-protein interaction at the replication termini of plasmid R6K.

Understanding the molecular mechanism of specific and polarized termination of DNA replication at a sequence-specific replication terminus requires detailed analyses of the interaction of terminator protein (ter) with specific DNA sequences (tau), constituting the replication terminus. Such analyses should provide the structural basis of the functional polarity of replication inhibition observed in vivo and in vitro at tau sites. With this objective in mind, we have purified the replication terminator protein of Escherichia coli to homogeneity and have analyzed the interaction of the protein with the replication termini of R6K, using chemical probes and by site-directed mutagenesis. The results show that one monomer of ter protein binds to a single tau site with an equilibrium dissociation constant of 5 x 10(-9) moles/liter. Furthermore, a combination of alkylation interference and protection, hydroxyradical footprinting, and site-directed mutagenesis has revealed the phosphate groups and base residues of the tau core sequence that make contacts with ter protein and those residues that are important for both DNA-protein interaction and for termination of replication in vivo. The overall picture that emerges from these analyses reveals that ter forms an asymmetric complex with a tau sequence. Thus, the asymmetric ter-tau complex provides a structural basis for the functional polarity of the arrest of a moving replication fork at a tau site

PEMBANGUNAN GAME DENGAN JUDUL “COFFEE DOG SCHOOL” MENGGUNAKAN ADOBE ANIMATE

Seiring berkembangnya waktu, jenis-jenis game pun semakin bermacam macam dan sudah menjadi bagian kehidupan dari remaja ataupun khalayak umum di negeri kita. Apakah itu berbentuk game 3D, game 2D, berjalan pada platform handphone ataupun PC. Ketertarikan masyarakat secara umum dalam bermain game sangatlah besar apabila dibandingkan dengan membaca ataupun mendengarkan pemaparan mengenai informasi ataupun ceramah secara lisan. “Coffee Dog School” sendiri merupakan sebuah game yang bercerita mengenai sesosok karakter binatang berwujud anjing yang dapat berdiri dan bertingkah laku seperti manusia, karakter ini memiliki nama Eddie. Eddie sendiri adalah murid Sekolah Menengah Pertama yang sedang melakukan Ujian Negara, selama ia bersekolah Eddie selalu berfikir apa manfaatnya untuk melajutkan sekolah. Pembangunan game dengan judul “Coffee Dog School” ini akan dibangun menggunakan tahapan- tahapan Multimedia Development Life Cycle (MDLC). Genre game yang akan dipakai adalah Choose Your Own Adventure (CYOA), dan akan menggunakan aplikasi Adobe Animate dalam pembangunanya Kata kunci : Game, MDLC, CYOA, Adobe Animat

Endovascular therapy for advanced post-thrombotic syndrome: Proceedings from a multidisciplinary consensus panel

Patients with advanced post-thrombotic syndrome (PTS) and chronic iliac vein obstruction suffer major physical limitations and impairment of health-related quality of life. Currently there is a lack of evidence-based treatment options for these patients. Early studies suggest that imaging-guided, catheter-based endovascular therapy can eliminate iliac vein obstruction and saphenous venous valvular reflux, resulting in reduced PTS severity; however, these observations have not been rigorously validated. A multidisciplinary expert panel meeting was convened to plan a multicenter randomized controlled clinical trial to evaluate endovascular therapy for the treatment of advanced PTS. This article summarizes the findings of the panel, and is expected to assist in developing a National Institutes of Health-sponsored clinical trial and other studies to improve the care of patients with advanced PTS

Effect of Universal Testing and Treatment on HIV Incidence - HPTN 071 (PopART).

BACKGROUND: A universal testing and treatment strategy is a potential approach to reduce the incidence of human immunodeficiency virus (HIV) infection, yet previous trial results are inconsistent. METHODS: In the HPTN 071 (PopART) community-randomized trial conducted from 2013 through 2018, we randomly assigned 21 communities in Zambia and South Africa (total population, approximately 1 million) to group A (combination prevention intervention with universal antiretroviral therapy [ART]), group B (the prevention intervention with ART provided according to local guidelines [universal since 2016]), or group C (standard care). The prevention intervention included home-based HIV testing delivered by community workers, who also supported linkage to HIV care and ART adherence. The primary outcome, HIV incidence between months 12 and 36, was measured in a population cohort of approximately 2000 randomly sampled adults (18 to 44 years of age) per community. Viral suppression (<400 copies of HIV RNA per milliliter) was assessed in all HIV-positive participants at 24 months. RESULTS: The population cohort included 48,301 participants. Baseline HIV prevalence was 21% or 22% in each group. Between months 12 and 36, a total of 553 new HIV infections were observed during 39,702 person-years (1.4 per 100 person-years; women, 1.7; men, 0.8). The adjusted rate ratio for group A as compared with group C was 0.93 (95% confidence interval [CI], 0.74 to 1.18; P = 0.51) and for group B as compared with group C was 0.70 (95% CI, 0.55 to 0.88; P = 0.006). The percentage of HIV-positive participants with viral suppression at 24 months was 71.9% in group A, 67.5% in group B, and 60.2% in group C. The estimated percentage of HIV-positive adults in the community who were receiving ART at 36 months was 81% in group A and 80% in group B. CONCLUSIONS: A combination prevention intervention with ART provided according to local guidelines resulted in a 30% lower incidence of HIV infection than standard care. The lack of effect with universal ART was unanticipated and not consistent with the data on viral suppression. In this trial setting, universal testing and treatment reduced the population-level incidence of HIV infection. (Funded by the National Institute of Allergy and Infectious Diseases and others; HPTN 071 [PopArt] ClinicalTrials.gov number, NCT01900977.)