Protein (Multi-)Location Prediction: Using Location Inter-Dependencies in a Probabilistic Framework

Knowing the location of a protein within the cell is important for understanding its function, role in biological processes, and potential use as a drug target. Much progress has been made in developing computational methods that predict single locations for proteins, assuming that proteins localize to a single location. However, it has been shown that proteins localize to multiple locations. While a few recent systems have attempted to predict multiple locations of proteins, they typically treat locations as independent or capture inter-dependencies by treating each locations-combination present in the training set as an individual location-class. We present a new method and a preliminary system we have developed that directly incorporates inter-dependencies among locations into the multiple-location-prediction process, using a collection of Bayesian network classifiers. We evaluate our system on a dataset of single- and multi-localized proteins. Our results, obtained by incorporating inter-dependencies are significantly higher than those obtained by classifiers that do not use inter-dependencies. The performance of our system on multi-localized proteins is comparable to a top performing system (YLoc+), without restricting predictions to be based only on location-combinations present in the training set.Comment: Peer-reviewed and presented as part of the 13th Workshop on Algorithms in Bioinformatics (WABI2013

Synthesis and characterization of low pressure chemically vapor deposited boron nitride and titanium nitride films

This study has investigated the interrelationships governing the growth kinetics, resulting compositions, and properties of boron nitride (B-C-N-H) and titanium nitride (Ti-N-Cl) films synthesized by low pressure chemical vapor deposition (LPCVD) using ammonia (NH3)/triethylamine-borane and NH3/titanium tetrachloride as reactants, respectively.Several analytical methods such as the FTIR, UVNisible spectroscopy, XPS, AES, RBS, SEM, and XRD were used to study the stoichiometry and structure of the deposited films. The B-N-C-H films were synthesized over a temperature range of 300 to 8500C at various flow rate ratios of the reactants and total pressure range of 50 to 150 mTorr. The deposits were amorphous in all cases having an index of refraction ranging between 1.76 and 2.47 depending on the composition of the films. The stress of the deposited films varied from +240 to -200 Wa, depending on the deposition parameters. The hardness and Young\u27s modulus were found to be between 5 to 12 GPa and 50 to 120 GPa, respectively. Electrical properties of the BN films were measured using metal-insulator-metal (MIM) and metal-insulator-semiconductor (MIS) structures. The films did not react with water vapor and exhibited dielectric constant between 3.12 and 5.5. Free standing X-ray windows with thickness varying from 2000Å to 12,000Å, were fabricated using the mildly tensile and compressive films and X-ray transmission studies through these windows indicate significantly lower absorption when compared to the commercially available polymeric X-ray windows. The Ti-N-Cl deposits exhibited an Arrhenius d ependence in the deposition temperature regime of 450 to 600 °C from which an activation energy of ~42 kJ/mol was calculated. The growth rate dependencies on the partial pressures of NH3 (50 to 100 mTorr) and TiC14 (1 to 12 mTorr) yielded reaction rate orders of 1.37 and -0.42 respectively. Films with compositions trending towards stoichiometry were produced as the deposition temperature was decreased and the NH3 partial pressure was increased. The chlorine concentration in the films was observed to decrease from ~8 % (a/o) at the deposition temperature of 450 °C down to ~0.2 % (a/o) at 850 °C. The film density values increased from 3.53 to 5.02 g/cm3 as the deposition temperature was increased from 550 to 850 °C. The resistivity of the films was dependent on changes in deposition temperature and flow rate ratios. The lowest resistivity value of 86 µΩcm was measured for a deposition temperature of 600°C and an NH3/TiCl4 flow ratio of 10/1. The film stress was found to be tensile for all deposits and to decrease with higher deposition temperatures. Nanoindentation measurements yielded values for the hardness and Young\u27s modulus of the films to be around 15 and 250 GPa, respectively. X-ray diffraction measurements revealed in all cases the presence of cubic TiN phase with a preferred (200) orientation. For the investigated aspect ratios of up to 4: 1, the deposits were observed to exhibit conformal step coverage over the investigated range of processing conditions

Low pressure chemical vapor deposition of boron nitride thin films from triethylamine borane complex and ammonia

Boron nitride thin films were synthesized on Silicon and quartz substrates by low pressure chemical vapor deposition using triethylamine-borane complex and ammonia as precursors. The films were processed at 550°C, 575°C and 600°C at a constant pressure of 0.05 Torr at different precursor flow rates and flow ratios. Several analytical methods such as Fourier transform infrared spectroscopy, x- ray photo-electron spectroscopy, ultra-violet/visible spectrophotornetry, ellipsometry, surface profilometry and scanning electron microscopy were used to study the deposited films. The films deposited were uniform, amorphous and the composition of the films varied with deposition temperature and precursor flow ratios. The stresses in the film were either mildly tensile or compressive. Dielectric constant characterization of LPCVD boron nitride was made using metal-insulator-semiconductor (MIS) and metal-insulator-metal (M IM) structures. The boron nitride films were stable and showed dielectric constant values between 3.8 and 4.7. The limitation of attaining lower values could be due to the presence of carbon as an impurity in the film and the presence of mobile charge carriers in the films as well as at the substrate-film interface

MHD Analysis of Casson Fluid through a Vertical Porous Surface with Chemical Reaction

Casson liquid stream over a vertical permeable surface with a synthetic response within the sight of an attractive field has been contemplated. Likeness investigation was utilized to change the arrangement of incomplete differential conditions portraying the issue into customary differential conditions. The decreased construction was illuminated utilizing the Newton Raphson shooting strategy close by the Forth-request Runge-Kutta calculation. The outcomes are introduced graphically and in an unthinkable structure for different domineering parameters. The impact of physical constants resembling Casson liquid (β), Magnetic parameter Μ, Soret number Sc, Prandtl number Pr, Magnetic Prandtl number, and so forth., on the instigated attractive field, temperature and speed are investigated. An attractive perception of this examination is that the impact of velocity appropriation comply with the physical consideration of notable Newtonian and all other Non-Newtonian liquids. Keywords: Magnetic Field, Casson Fluid, Mass Transfer, Suction, Non-Newtonian Fluid, Induced magnetic field, MHD, Natural Convection,  Slip. DOI: 10.7176/CPER/63-03 Publication date:October 31st 202

Studying Security Issues in HPC (Super Computer) Environment

HPC has evolved from being a buzzword to becoming one of the most exciting areas in the field of Information Technology & Computer Science. Organizations are increasingly looking to HPC to improve operational efficiency, reduce expenditure over time and improve the computational power. Using Super Computers hosted on a particular location and connected with the Internet can reduce the installation of computational power and making it centralise. However, centralise system has some advantages and disadvantages over the distributed system, but we avoid discussing those issues and focusing more on the HPC systems. HPC can also be used to build web and file server and for applications of cloud computing. Due to cluster type architecture and high processing speed, we have experienced that it works far better and handles the loads in much more efficient manner then series of desktop with normal configuration connected together for application of cloud computing and network applications. In this paper we have discussed on issues re lated to security of data and information on the context of HPC. Data and information are vanurable to security and safety. It is the purpose of this paper to present some practical security issues related to High Performance Computing Environment. Based on our observation on security requirements of HPC we have discuss some existing security technologies used in HPC. When observed to various literatures, we found that the existing techniques are not enough. We have discussed, some of the key issues relating to this context. Lastly, we have made an approach to find an appropriate solution using Blowfish encryption and decryption algorithm. We hope that, with our proposed concepts, HPC applications to perform better and in safer way. At the end, we have proposed a modified blow fish algorithmic technique by attaching random number generator algorithm to make the encryption decryption technique more appropriate for our own HPC environment

Effect of Variable Thermal Conductivity and Viscosity on MHD Casson Nanofluid Flow Vertical Plate through Thermal Radiation Convective Temperature along with Velocity Slip

This article presents the influences of connected variable thickness with created conductivity, nanofluid flow over a vertical level plate through convective smooth, with velocity slip boundary surroundings. The controlling vehicle nonlinear divided differential stipulations with the interrupt surroundings are non- dimensionalized. The reachable path of motion of certain existing differential conditions is then diminished to a set of joined nonlinear quintessential differential conditions utilizing convenience modify. Numerical outcomes are getting for dimensionless velocity, temperature, and nanoparticle quantity. It is discovered that the velocity increments, while each temperature and nanoparticle extent partrot with improved estimations of variable maximum conductivity and consistency. At the same time as the Dufour range and Soret, comprehensive range augmentation with working up the relative and the thing subject decompose as the Schmidt range tendencies while the temperature area decreases with extending Prandtl number and Dufour number correlations are executed with scattered facts virtually taking parent proper now the numerical outcomes. Surprising consideration is seen. Taking the entirety into account, the effects of essential parameters on fluid velocity, temperature, and focus on dispersion moreover as on the partition total mass, heat, and mass exchange figures are audited in detail. Also, this existing consideration can determine purposes in the method, which include nanofluid works out

A clinical study to evaluate the effect of Lekhana Vasti in the management of Sthaulya

Sthaulya is one of the Santarpanotta Vyadhi. It is considered as one among the Ashta Ninditeeya Purusha. It is a Rasa Nimittija and Medo Pradoshaja Vyadhi Avyayama, Athiasana, Athishayana and so on are some of the Nidanas of Sthaulya. Most of the world’s population live in countries where overweight and obesity kills more people than underweight. Apatarpana Chikitsa is main line of treatment in Sthaulya. When there is involvement of Kapha Medas and pathogenesis of Avarana, the condition needs Teekshna Basti with Lekhana properties. The Varanadi Gana Kwatha which is having similar action is selected as Kalka and Kwatha Dravya in the present study. To increase the Teekshnata, the Amla Kanji as Avapa Dravya has been selected. Objectives - Hence, the following study was taken to evaluate the effect of Lekhana Basti in management of Sthaulya. Methodology - 20 patients were taken in the study and were administered. Varanadi Lekhana Basti in Kala Basti format. Matra Basti with Murchita Tila Taila was given. Patients were assessed for weight BMI, biomarkers, bodily circumferences before and after treatment and after follow up

Specificity of gibberellin and sucrose-promoted flower bud growth in gladiolus

A critical stage in flower bud growth in the spike of Gladiolus which is initiated by gibberellic acid (GA3) and sustained by sucrose has been identified. This corresponds to the stage at which separation of the outer bract occurs. In buds at different developmental stages isolated and held in water, it is the same bud stage that first shows increased growth. Buds not induced by light were shown to respond more significantly to GA3 and sucrose than those induced by light. Since the separation of the outer bract results in light-induced amylase production and starch hydrolysis leading to petal growth, it is proposed that growth promotion by GA3 is related to light-induced petal growth at this specific stage

DeepPlace: Learning to Place Applications in Multi-Tenant Clusters

Large multi-tenant production clusters often have to handle a variety of jobs and applications with a variety of complex resource usage characteristics. It is non-trivial and non-optimal to manually create placement rules for scheduling that would decide which applications should co-locate. In this paper, we present DeepPlace, a scheduler that learns to exploits various temporal resource usage patterns of applications using Deep Reinforcement Learning (Deep RL) to reduce resource competition across jobs running in the same machine while at the same time optimizing for overall cluster utilization.Comment: APSys 201