Kernel Logistic Regression-linear for Leukemia Classification Using High Dimensional Data

Kernel Logistic Regression (KLR) is one of the statistical models that has been proposed for classification in the machine learning and data mining communities, and also one of the effective methodologies in the kernel–machine techniques. Basely, KLR is kernelized version of linear Logistic Regression (LR). Unlike LR, KLR has ability to classify data with non linear boundary and also can accommodate data with very high dimensional and very few instances. In this research, we proposed to study the use of Linear Kernel on KLR in order to increase the accuracy of Leukemia Classification. Leukemia is one of the cancer types that causes mortality in medical diagnosis problem. Improving the accuracy of Leukemia Classification is essential for more effective diagnosis and treatment of Leukemia disease. The Leukemia data sets consists of 7120 (very high dimensional) DNA micro arrays data of 72 (very few instances) patient samples on the state of Leukemia types. In Leukemia classification based upon gene expression, monitoring data using DNA micro array offer hope to achieve an objective and highly accurate classification. It can be demonstrated that the use of Linear Kernel on Kernel Logistic Regression (KLR–Linear) can improve the performance in classifying Leukemia patient samples and also can be shown that KLR–Linear has better accuracy than KLR–Polynomial and Penalized Logistic Regression

Determination of effective diffusion coefficient of immobilized Baker's yeast invertase in various concentration of PVA-alginate matrix

Baker's yeast invertase is immobilized in PVA-alginate matrix using an improved method. PVA beads were prepared by adding calcium alginate to improve its stability, mechanical and chemical properties. Boric acid was used as the cross-linking agent and additional chemicals consisting of 10% boric acid and sodium sulphate solution was used as a treatment solution to harden the PVA-alginate beads. The determination of the effective diffusion of PVA-alginate matrix the vital step in optimizing the preparation of immobilized and water-soluble biocatalyst. In this study the two-level full factorial design was used to investigate the effect of PVA and boric acid concentrations and diffusions coefficient. Diffusion coefficient (De) is one of the factors that significantly affect the mass transport within the immobilization matrix. De value varies for each concentration of PVA and boric acid. The result concluded that both factors significantly affect the De. A maximum De value of 5.0141 x 10(-5) cm2s-1 was obtained at boric acid and PVA concentraion of 7w/v and 10.5 w/v respectively

Conjugating binary systems for spacecraft thermal control

The materials search was directed to liquid pairs which can form hydrogen bonds of just the right strength, i.e., strong enough to give a high heat of mixing, but weak enough to enable phase change to occur. The cursory studies performed in the area of additive effects indicate that Conjugating Binary (CB) performance can probably be fine-tuned by this means. The Fluid Loop Test Systems (FLTS) tests of candidate CBs indicate that the systems Triethylamine (TEA)/water and propionaldehyde/water show close to the ideal, reversible behavior, at least initially. The Quick Screening Tests QSTs and FLTS tests, however, both suffer from rather severe static due either to inadequate stirring or temperature control. Thus it is not possible to adequately evaluate less than ideal CB performers. Less than ideal performers, it should be noted, may have features that make them better practical CBs than ideal performers. Improvement of the evaluation instrumentation is thus indicated

Pengembangan Tempat Pendaratan Ikan (Tpi) di Kecamatan Bantan Kabupaten Bengkalis Provinsi Riau

The study was conducted in July 2012 at the Fish Landing Places in Bantan Dis-trict on 3 units Fish Landing Places by using survey method. The aims of this study todetermine the facilities and activities as well as development possibility. The resultsshowed that the Fish Landing Places in District Bantan relatively has a few facilitiesand activities.The facilities that are available at the Fish Landing Places such as mar-keting space but the dock and fuel tanks and freshwater tanks do not all have it. Theutilization rate for each facilities generally between 3.6 to 71.66%. The Fish LandingPlaces activities are landing fish, fish marketing, supplies replenishment at sea and an-chor mooring. To develop fish landing place that needs to be done is the legality of thebusiness, adding facilities and services and to improve the quality of fish handling

Evaluation Utilization Facilities Fish Landing Base (Ppi) Dumai Of Dumai City Riau Province

This study was conducted in March 2014, at the Fish Landing Base (PPI) Dumai Dumai Riau Province. The purpose of this study was to determine the level of utilization of the facilities available in the PPI Dumai.Facility utilization rates in the PPI Dumai consists of docks 237.19%, 140.98% of pond harbor area, harbor pool 58.75%, 47.54% auction room, fuel tanks 41.17%, 128.54% ice factory and 144.65% fresh water tank. Where the evaluation of the utilization of the facilities in 2014 is increasing compared to the use of the facilities in 2005

A noninvasive molecular approach: exploiting species-locus-specific PCR primers in defeating numts and DNA cross-contamination of cercopithecidae

The lack of a standardized, noninvasive molecular approach to studying genetic aspects of primates has made it hard for primatologists to decode the evolutionary history of these species. Researchers must optimize their own techniques to fully exploit the available samples. Lack of species-locus-specific primers also contributes to difficulties in using noninvasive genetic samples. Thus, the objectives of this study were to develop a standardized technique to collecting samples noninvasively, propose newly designed species-locus-specific primers, and optimize conditions for polymerase chain reaction (PCR) for Macaca fascicularis, M. nemestrina, Trachypithecus cristatus, and T. obscurus. Nine new species-locus-specific primers for three different loci of mitochondrial DNA, namely D-loop, cytochrome oxidase subunit I (COI), and cytochrome b, were successfully designed. These primers proved to be efficient in amplifying larger datasets (up to ~1,000 bp) of the targeted species in the optimized PCR conditions. The species-locus-specific primers are able to anneal to host DNA alone in highly contaminated feces of highlighted species. They can also offer alternatives measures in avoiding contamination related to nuclear insertion of mitochondrial pseudogenes (numts)

Multi objective machining estimation model using orthogonal and neural network

Much hard work has been done to model the machining operations using the neural network (NN). However, the selection of suitable neural network model in machining optimization area especially in multi objective area is unsupervised and resulted in pointless trials. Thus, a combination of Taguchi orthogonal and NN modeling approach is tested on two types of electrical discharge machining (EDM) operations; Cobalt Bonded Tungsten Carbide (WC-Co) and Inconel 718 to observe the efficiency of proposed approach on different numbers of objectives. WC-Co EDM considered two objective functions and Inconel 718 EDM considered four objective functions. It is found that one hidden layer 4-8-2 layer recurrent neural network (LRNN) is the best estimation model for WC-Co machining and one hidden layer 5-14-4 cascade feed forward back propagation (CFBP) is the best estimation model for Inconel 718 EDM. The results are compared with trial-error approach and it is proven that the proposed modeling approach is able to improve the machining performances and works efficiently on two-objective problems

Evaluation the Use of Facility Fishing Port Telaga Punggur Batam City

This research was conducted in October 2013 in Telaga Punggur Fishery Port Batam Riau Islands Province. The research was conducted using a survey method. The purpose of this research to know the level of utilization of the facility, knowing the problems in the implementation of activities, as well as the possibility of the development of facilities. Having done this research note dock facility utilization rate of 146.36%, the port pool of 956.07%, pool depth of 93.75%, amounting to 31.67% Coldstorage, ice plant by 90%. Issues contained in this fishing port include dernaga utilization rates, harbor expansive pool already exceeds capacity, coldstorage underutilized facilities, there are no fuel filling facilities, lack of completeness of the docking facility for heavy equipment repair damage to the fishing fleet and there is no safety on the outskirts of the shipyard in the form of ponds or Graving Dock. Under these conditions Telaga Punggur Fishery Port (Pt. SYS) for the future should be developed and should complete the required facilities