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Article "2-pirazolin Yapısındaki Yeni Bir Bileşiğin Sentezi, Moleküler Modellemesi ve Monoaminoksidaz İnhibitörü Etkisinin Araştırılması"(Türkiye Halk Sağlığı Kurumu, 2018) Aksöz Evranos, Begüm; Uçar, Gülberk; Yelekçi, KemalAmaç: Nöromediatörlerin yıkımından sorumlu olan monoamin oksidaz (MAO) enziminin izoformlarının (MAO-A ve -B) birçok hastalık ile yakından ilişkili olduğu; MAO inhibitörlerinin depresyon, Parkinson ve Alzheimer hastalığı gibi hastalıkların tedavisinde kullanıldığı bilinmektedir. Grubumuzca daha etkin, tersinir ve az yan etkili yeni bir MAO inhibitörü (SH2U bileşiği) sentezlenmiş ve bu bileşiğin insan MAO enzimini (hMAO) inhibe etme yeteneği incelenmiştir. Ayrıca bu yeni bileşiğin hMAO ile etkileşimi, moleküler modelleme çalışmaları ile detaylı bir şekilde araştırılmıştır. Sentezlenen yeni bileşiğin hMAO’yu kuvvetli bir şekilde yarışmalı ve tersinir olarak inhibe ettiği bulunmuştur. Söz konusu bileşiğin Parkinson ve Alzheimer hastalıklarının tedavisinde ümit verici bir ilaç etken maddesi olabileceği düşünülmektedir. Yöntem: 3’,5’-Dikloro-2’-hidroksi asetofenon ile p-tolualdehit’in metanol içinde KOH varlığında reaksiyona girmesiyle 1-(3,5-dikloro-2-hidroksifenil)- 3-p-tolil prop-2-en-1-on (3’,5’-Dikloro-2’-hidroksi-4- metil şalkon) bileşiği sentez edilmiştir. Daha sonra elde edilen bu bileşiğin etanol içerisinde geri çeviren soğutucu altında izonikotinik asit hidrazit ile muamele edilmesiyle [3-(3,5-dikloro-2-hidroksifenil)-5-p-tolil-4,5- dihidropirazol-1-il] (piridin-4-il) metanon bileşiği sentez edilmiştir. Yapısı doğrulanan bu bileşiğin hMAO enzimi ile etkileşimi, ticari tayin kiti kullanılarak fluorometrik bir yöntemle incelenmiştir. Ayrıca, söz konusu yeni bileşik ile hMAO arasındaki etkileşimler, moleküler modelleme çalışmaları ile aydınlatılmıştır. Bulgular: Sentezlenen bileşiğin yapısı, IR, Mass, 1H-NMR ve elemental analiz yöntemleri kullanılarak doğrulanmıştır. Yapısı doğrulanan bu bileşiğin etkin, seçici, tersinir, toksik olmayan bir hMAO-B inhibitörü olduğu ve inhibisyonun yarışmalı olduğu görülmüştür. Moleküler yerleştirme programı kullanılarak bileşiğin hMAO-B enziminin aktif bölgesinde hangi amino asit yan zincirleri ile ne tür girişimleri yaptığı belirlenmiştir. Sonuç: Yeni sentezlenen SH2U bileşiği, hMAO-B enzimini kuvvetle, seçici, yarışmalı ve tersinir olarak inhibe etmiştir. Sentezlediğimiz bileşik, bilinen seçici ama tersinmez MAO-B inhibitörü olan selejilin’den daha etkin ve seçici, tersinir olarak hMAO-B enzimini inhibe etmiştir ve Parkinson ile Alzheimer hastalığı tedavisinde kullanılabilecek bir ilaç etken maddesi olarak ümit vadetmektedir.Article Citation - WoS: 12Citation - Scopus: 15Accurate Refinement of Docked Protein Complexes Using Evolutionary Information and Deep Learning(Imperıal College Press, 2016) Akbal-Delibas, Bahar; Farhoodi, Roshanak; Pomplun, Marc; Haspel, NuritOne of the major challenges for protein docking methods is to accurately discriminate native-like structures from false positives. Docking methods are often inaccurate and the results have to be refined and re-ranked to obtain native-like complexes and remove outliers. In a previous work we introduced AccuRefiner a machine learning based tool for refining protein-protein complexes. Given a docked complex the refinement tool produces a small set of refined versions of the input complex with lower root-mean-square-deviation (RMSD) of atomic positions with respect to the native structure. The method employs a unique ranking tool that accurately predicts the RMSD of docked complexes with respect to the native structure. In this work we use a deep learning network with a similar set of features and five layers. We show that a properly trained deep learning network can accurately predict the RMSD of a docked complex with 1.40 angstrom error margin on average by approximating the complex relationship between a wide set of scoring function terms and the RMSD of a docked structure. The network was trained on 35000 unbound docking complexes generated by RosettaDock. We tested our method on 25 different putative docked complexes produced also by RosettaDock for five proteins that were not included in the training data. The results demonstrate that the high accuracy of the ranking tool enables AccuRefiner to consistently choose the refinement candidates with lower RMSD values compared to the coarsely docked input structures.Conference Object Acoustic Design Guidelines for Adults With Intellectual Disability(European Acoustics Association EAA, 2014) Şaher, Konca; Nijs, Lau; Hordijk, TruusThis paper concentrates on the acoustic design aspects of the living rooms in institutions for adults with intellectually disability. In the living rooms for adults with ID there is even a higher stress on the acoustics since they are more dependent on the acoustical environment compared to normal population. Moreover prevalence of hearing impairment among adults with ID is around 30% and in most cases it is not even recognised. Therefore the rooms for adults with ID need to be designed by taking into account the requirements of the hearing impaired. They need more favourable room acoustics to improve their communication and participation. This paper investigates three main themes: 1) Investigation of impact of building design tools on acoustical quality parameters and determination of most appropriate acoustical quality indicator that translates best into architectural practice for living rooms for adults with ID. 2) Investigation of the relation between user satisfaction and absorption amount in rooms for adults with ID by listening tests prepared from auralizations. 3) Development of architectural/acoustical design guidelines to provide optimal absorption amount for living rooms for adults with ID.Conference Object Advanced Signal Processing Algorithms for Wireless Communications(Springer-Verlag Berlin, 2006) Panayırcı, Erdal; Çırpan, Hakan AliTraditional wireless technologies are not well suited to meet the extremely demanding requirements of providing the very high data rates with the ubiquity mobility and portability characteristic of cellular systems. Some fundamental barriers related to the nature of the radio channel as well as the limited bandwidth availability at the frequencies of interest stand in the way. Unique sets of efficient advanced signal processing algorithms and techniques is the one of the primary enablers that will allow lifting these limits primarily due to the impressive advent of low cost and low power digital signal processors. As an application of advanced signal processing techniques we will consider the solution of blind phase noise estimation and data detection problem via a computationally efficient sequential Monte Carlo (SMC) methodology in this paper.Book Part Analysis and Optimization of Matching Networks-I Getting Started With Ads(Springer-Verlag Berlin, 2008) Şengül, Metin Y.[Abstract Not Available]Book Part Analysis and Optimization of Matching Networks-Ii Getting Started With Microwave Office(Springer-Verlag Berlin, 2008) Şengül, Metin Y.[Abstract Not Available]Conference Object Citation - WoS: 2Citation - Scopus: 2Analysis of the Effects of Intermodal Terminals for the Solutions of Urban Logistics Problems in Istanbul City(Springer International Publishing Ag, 2016) Görçün, Ömer FarukWe analyzed the urban logistics problems in Istanbul City and we tried to show the solutions of these problems thanks to intermodal freight terminals. Istanbul is a center of trade tourism and industryConference Object Citation - WoS: 7Citation - Scopus: 7Anytime. Everywhere. Mobile Learning in Higher Education: Creating a Gis Course(Springer-Verlag Berlin, 2012) Erkollar, Alptekin; Oberer, BirgitThe course concepts introduced in this contribution were implemented in 2011 in a university in Turkey and show an approach for integrating mobile learning modules in higher education. The results of the course show the advantages as well as potential for improvement of the system and the use of it in higher education.Conference Object Applications of Eigenvalue Counting and Inclusion Theorems in Model Order Reduction(Springer-Verlag Berlin, 2010) Yetkin, E. Fatih; Dağ, HasanWe suggest a simple and an efficient iterative method based on both the Gerschgorin eigenvalue inclusion theorem and the deflation methods to compute a Reduced Order Model (ROM) to lower greatly the order of a given state space system. This method is especially efficient in symmetric state-space systems but it works for the other cases with some modifications.Conference Object The Association of Gvhd With Hla Dr Alleles, Ifn-Gamma, Tgf-Beta, and Mbl2 Gene Polymorphism(Wiley, 2019) Oğuz, Rusdu; Çiftçi, Hayriye Şentürk; Gökçe, Muge; Öğret, Yeliz; Karadeniz, Sedat Tanju; Pehlivan, Sacide; Aydın, Filiz[Abstract Not Available]Conference Object Atomic Collisions and Free Lepton Pair Production(2005) Güçlü, Mehmet Cem; Yılmaz, MelekIn this work we have calculated the total cross sections of electron-positron pair production for the collisions of fully stripped gold ions for various energies. We have also compared our calculation with other methods.Article Citation - WoS: 4Citation - Scopus: 5Broadband Equalizer Design With Commensurate Transmission Lines Via Reflectance Modeling(IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, 2008) Şengül, Metin Y.; Yarman, Sıddık BinboğaIn this paper an alternative approach is presented to design equalizers (or matching networks) with commensurate (or equal length) transmission lines. The new method automatically yields the matching network topology with characteristic impedances of the commensurate lines. In the implementation process of the new technique first the driving point impedance data of the matching network is generated by tracing a pre-selected transducer power gain shape without optimization. Then it is modelled its it realizable bounded-real input reflection coefficient in Richard domain which ill turn yields the desired equalizer topology with line characteristic impedances. This process results in an excellent initial design for the commercially available computer aided design (CAD) packages to generate final circuit layout for fabrication. An example is given to illustrate the utilization of the new method. It is expected that the proposed design technique is employed as it front-end to commercially available computer aided design (CAD) packages which generate the actual equalizer circuit layout with physical dimensions for mass production.Book Part Citation - WoS: 7Channel Modeling for Visible Light Communications(Springer-Verlag Berlin, 2016) Miramirkhani, Farshad; Uysal, Murat; Panayırcı, ErdalIn this chapter, we present a novel and realistic channel modeling approach for visible light communications that overcomes the limitations of previous works. In our work, we consider wavelength dependency, effect of realistic light sources as well as different types of reflections such as specular and mixed cases of diffuse and specular. We use nonsequential ray tracing algorithms to calculate the detected power and path lengths from source to detector for each ray. These are then processed to yield the channel impulse responses for various indoor environments. We further present a channel characterization study where channel parameters such as channel DC gain, root mean square delay spread, coherence bandwidth, mean excess delay are calculated for different environments.Conference Object Citation - WoS: 1Citation - Scopus: 1Collectivity in Heavy Nuclei in the Shell Model Monte Carlo Approach(EDP Sciences, 2014) Özen, Cem; Alhassid, Yoram; Nakada, HitoshiThe microscopic description of collectivity in heavy nuclei in the framework of the configuration-interaction shell model has been a major challenge. The size of the model space required for the description of heavy nuclei prohibits the use of conventional diagonalization methods. We have overcome this difficulty by using the shell model Monte Carlo (SMMC) method which can treat model spaces that are many orders of magnitude larger than those that can be treated by conventional methods. We identify a thermal observable that can distinguish between vibrational and rotational collectivity and use it to describe the crossover from vibrational to rotational collectivity in families of even-even rare-earth isotopes. We calculate the state densities in these nuclei and find them to be in close agreement with experimental data. We also calculate the collective enhancement factors of the corresponding level densities and find that their decay with excitation energy is correlated with the pairing and shape phase transitions.Conference Object Citation - WoS: 7Citation - Scopus: 12Comparative Study of Active Power Curtailment Methods of Pvs for Preventing Overvoltage on Distribution Feeders(IEEE, 2018) Paudyal, Sumit; Bhattarai, Bishnu P.; Tonkoski, Reinaldo; Dahal, Sudarshan; Ceylan, OğuzhanOvervoltage is one of the major issues on distribution grids with high penetration of photovoltaic (PV) generation. Overvoltage could be prevented through the control of active/reactive power of PVs. However given the high R/X ratio of low voltage feeders voltage control by using reactive power would not be as effective as using active power. Therefore active power curtailment (APC) of PVs though not desirable becomes necessary at times to prevent the overvoltage issues. Existing literature is rich in centralized and droop-based methods for APC and/or reactive power control of PVs to prevent overvoltage issues. In this context this paper revisits the most popular existing methods and evaluates the performance of droop-based and centralized methods using a typical North American 240 V low voltage feeder with 24 residential homes. In this work our key findings are: a) droop-based methods provided conservative solutions or did not eliminate the overvoltages completely b) power flow sensitivity based droop approach led to 13% more curtailment than the centralized approaches c) centralized approach had 40% less energy curtailed compared with standard droop while no overvoltages were observed and d) operating PVs at non-unity power factor in centralized approach led to 5% less energy curtailment.Conference Object A Comparative Study of Energy Models for Turkish Electricity Market Using Leap(IEEE Computer Society, 2019) Massaga, Daniel Julius; Kirkil, Gökhan; Çelebi, EmreFossil fuel thermal power plants constitute a large part of the Turkish electricity generation capacity. Turkish government has been developing several energy policy documents to evaluate how various renewable energy sources of the country can be utilized optimally in the generation of electricity within the next 30 years. This study considers three scenarios in the transition to renewable energy for Turkey; the business as usual (BAU), energy conservation (EC) and renewable energy (REN) scenarios. EC scenario considers the use of energy-efficient appliances and imposing a carbon tax, whereas REN scenario considers increasing the share of the renewable energy sources as much as possible in the power generation mix. These scenarios were evaluated in terms of cost and environmental impact. The LEAP (Long-range Energy Alternatives Planning Model) was used in the research. The REN scenario has been shown to be the optimal energy policy option for Turkey in terms of cost and environmental impact.Conference Object Citation - Scopus: 2A Comparative Study of Surrogate Based Learning Methods in Solving Power Flow Problem(IEEE, 2020) Ceylan, Oğuzhan; Taşkın, Gülsen; Paudyal, SumitDue to increasing volume of measurements in smart grids, surrogate based learning approaches for modeling the power grids are becoming popular. This paper uses regression based models to find the unknown state variables on power systems. Generally, to determine these states, nonlinear systems of power flow equations are solved iteratively. This study considers that the power flow problem can be modeled as an data driven type of a model. Then, the state variables, i.e., voltage magnitudes and phase angles are obtained using machine learning based approaches, namely, Extreme Learning Machine (ELM), Gaussian Process Regression (GPR), and Support Vector Regression (SVR). Several simulations are performed on the IEEE 14 and 30-Bus test systems to validate surrogate based learning based models. Moreover, input data was modified with noise to simulate measurement errors. Numerical results showed that all three models can find state variables reasonably well even with measurement noise.Conference Object Citation - Scopus: 2Complex Adaptive Systems Theory in the Context of Business Process Management(Springer Verlag, 2014) Uluhan, Eray; Aydın, Mehmet NafizOrganizations require agility adaptiveness and flexibility to survive and to deal with complexity in business ecosystems and business processes are recognized as cornerstones of successful organizations. Paradigms underlying existing business process management (BPM) methods and solutions have been questioned for their ability to capture the complexity of business dynamics. The basic trust of this research is to search for an alternative approach to better understand underpinnings of business process management. In this paper we contend that Complex Adaptive Systems (CAS) theory can be an alternative approach to better examine underpinnings of the very notion of business process. In this regard we articulate the basic principles of CAS in the business process management context. It is this articulation that paves the way to establish an appropriate account for BPM. © Springer International Publishing Switzerland 2014.Review Citation - WoS: 21Citation - Scopus: 24Conductivity Percolation of Carbon Nanotubes (cnt) in Polystyrene (ps) Latex Film(Canadian Science Publishing Nrc Research Press, 2010) Uğur, Şaziye; Yargı, Önder; Pekcan, ÖnderIn this study the effect of multiwalled carbon nanotubes (MWNT) on film formation behaviour and electrical conductivity properties of polystrene (PS) latex film was investigated by using the photon transmission technique and electrical conductivity measurements. Films were prepared by mixing PS latex with different amounts of MWNTs varying in the range between 0 and 20 wt%. After drying MWNT content films were separately annealed above the glass transition temperature (T-g) of PS ranging from 100 to 270 degrees C for 10 min. To monitor film formation behavior of PS-MWNT composites transmitted light intensity I-tr was measured after each annealing step. The surface conductivity of annealed films at 170 degrees C was measured and found to increase dramatically above a certain fraction of MWNT (4 wt%) following the percolation theory. This fraction was defined as the percolation threshold of conductivity R-c. The conductivity scales with the mass fraction of MWNT as a power law with exponent 2.27 which is extremely close to the value of 2.0 predicted by percolation theory. In addition the increase in I-tr during annealing was explained by void closure and interdiffusion processes. Film formation stages were modeled and the corresponding activation energies were measured.Article Considerations and Confusions About Theregulatory Focus Theory and a Future Agendafor Researchers in Marketing(Boğaziçi Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, 2017) Merdin-Uygur, EzgiThe regulatory focus theory is the mark of a paradigm shift away from a unidimensional hedonism towards a multiplicity of regulatory foci. It possesses great explanatory power; however a lot remains unresolved despite a promising body of empirical work. This paper highlights various considerations concerning the conceptual and comparative qualities of the regulatory focus theory. The discussion moves into the intersection of regulatory focus and consumer behavior literature, briefly summarizing the findings and followed by a number of propositions to be tested for future research.
