Large-Scale Pairwise Sequence Alignments on a Large-Scale GPU Cluster

This paper presents design of a GPU kernel for performing pairwise sequence alignments for large-scale short sequence datasets generated by nextgeneration sequencers. This kernel principally performs batch Needleman– Wunsch global alignments. When used with its MPI-based host software, the kernel is scalable and is capable of achieving high throughput alignment when run on a CPU-GPU cluster

Spontaneous Emergence of Persistent Spin Helix from Homogeneous Spin Polarization

We demonstrate that a homogeneous spin polarization in one-dimensional structures of finite length in the presence of Bychkov-Rashba spin-orbit coupling decays spontaneously toward a persistent spin helix. The analysis of formation of spin helical state is presented within a novel approach based on a mapping of spin drift-diffusion equations into a heat equation for a complex field. Such a strikingly different and simple method allows generating robust spin structures whose properties can be tuned by the strength of the spin orbit interaction and/or structure's length. We generalize our results for two-dimensional case predicting formation of persistent spin helix in two-dimensional channels from homogeneous spin polarization

Spintronics simulation with monte carlo method

Çalışmada gerek teorik gerekse deneysel olarak oldukça popular olan spintronik alanında Monte Carlo simülasyon yöntemi ile spin enjekte edilmiş yarıiletkenlerde spin sönümlemesi incelenmiştir. Simülasyondan elde edilen sönümlenme süresinin D'yokonov'un analitik sonucu ile uyumlu olduğu görülmüştür.In this paper, we demonstrated a Monte Carlo model for a spin injected semiconductor device. Such a different and simple method enables us to generate robust spin structures whose properties can be tuned by the structure's length. As a result, we pointed out that the spin polarization decay time of the simulation is reasonable comparing with D'yokonov's analytic derivations

Aspergillus terreus ksilanolitik sisteminin batık ve katı kültürde hücre dışı proteinlerinin karşılaştırılmalı proteomik analizi

TEZ 589.2/SAVaKaynakça: 38-41 ss.[Özet Yok

Adsorption of Methylene Red in Solution on Silica Gel: Equilibrium Isotherm and Kinetic Studies

msufbdThe aim of this study was to remove methylene red from the aqueous solution. In this study, silicagel was used as adsorbent.The experiments were made with 20 mg adsorbents at different pH (2, 3, 4, 7, 10). The experimental data were analyzed using Langmuir, Freundlich, Dubinin-Radushkevich-Kaganer (DKR), Temkin ve Brunauer-Emmett-Teller (BET) isotherm equations and the constants of these equations were determined. The suitability of 20 mg/L dye solution to Langergren pseudo-first order and pseudo-second order rate equations were tested. Thermodynamic parameter such as change of free energy, entalphy and entropy of adsorption were calculated. As a result, the data obtained indicated that adsorption is a physical, exothermic and spontaneous.Bu çalışmanın amacı, sulu çözeltiden metilen kırmızısınınuzaklaştırılmasıdır. Bu çalışmada adsorban olarak silikajel kullanılmıştır.Farklı pH’larda (2, 3, 4, 7, 10) 20 mg adsorban ile çalışmalar yapılmıştır.Deneysel veriler, Langmuir, Freundlich, Dubinin-Radushkevich-Kaganer (DKR), Temkin ve Brunauer-Emmett-Teller (BET) denklemleri kullanılarak analiz edilmişve bu denklemlerin sabitleri belirlenmiştir. 20 mg/L’lik boya çözeltilerininLangergren yalancı birinci derece ve yalancı ikinci derece hız denklemineuygunluğu denenmiştir. Termodinamik parametrelerden adsorpsiyon entalpisi (?Ho), Gibbs serbest entalpisi (?Go) ve adsorpsiyon entropisi (?So)değerleri hesaplanmıştır. Sonuç olarak, elde edilen veriler adsorpsiyonunfiziksel, ekzotermik ve kendiliğinden yürüyen bir olay olduğunu göstermiştir.47950

Two-Stage Energy Management of Multi-Smart Homes With Distributed Generation and Storage

This study presents a new two-stage hybrid optimization algorithm for scheduling the power consumption of households that have distributed energy generation and storage. In the first stage, non-identical home energy management systems (HEMSs) are modeled. HEMS may contain distributed generation systems (DGS) such as PV and wind turbines, distributed storage systems (DSS) such as electric vehicle (EV), and batteries. HEMS organizes the controllable appliances considering user preferences, amount of energy generated/stored and electricity price. A group of optimum consumption schedules for each HEMS is calculated by a Genetic Algorithm (GA). In the second stage, a neighborhood energy management system (NEMS) is established based on Bayesian Game (BG). In this game, HEMSs are players and their pre-determined optimal schedules are their actions. NEMS regulates the total power fluctuations by allowing the energy transfer among households. In the proposed algorithm, HEMS decreases the electricity cost of the users, while NEMS flats the load curve of the neighborhood to prevent overloading of the distribution transformer. The proposed HEMS and NEMS models are implemented from scratch. A survey of 250 participants was conducted to determine user habits. The results of the survey and the proposed system were compared. In conclusion, the proposed hybrid energy management system saves power by up to 25% and decreases cost by 8.7% on average