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Peter Shaffer's Equus and Equine-Assisted Psychotherapy (EAP)
No full textPeter Shaffer's Equus (1973) is a distinctive play in its representation of complex psychological/psychiatric issues on the theatre stage. As such, the play is one of the most notable theatrical works of psychological realism in English theatre. Peter Shaffer achieves this especially through his characterization of the mentally unstable Alan Strang. Since his childhood, Alan has developed an extraordinary attachment to and obsession with horses, and this eventually results in his blinding six horses and his entrustment to the treatment of the psychiatrist Martin Dysart. Accordingly, Equus has been, so far, studied through various - mainly psychological and psychiatric perspectives. In this sense, the aim of this article is to shed a new light and contribute to these studies by examining the close relations between Peter Shaffer's Equus and equine-assisted psychotherapy (EAP) - an acknowledged method of psychiatric treatment by means of horses that psychiatrist Dysart of the play neglects (or is unaware of) while planning his therapies for Alan, who, due to his intimacy with horses, also as a stable-boy, might benefit from the methods of equine-assisted psychotherapy. For this purpose, this article analyses and reveals the ties between the play and equine-assisted psychotherapy mainly through related studies on the therapy, Shaffer's characterization of Alan, and relevant incidents in the play
Uncertainty Management With an Autonomous Approach To Fuzzy Set-Covering Facility Location Models
No full textFacility location models have been studied in the literature for decades as an outstanding branch of supply chain planning. Set-covering facility location models are among the most commonly used approaches to establishing and running a distribution network. However, real-life brings uncertain and imprecise parameters that need to be reflected in the model systematically and computably to achieve more efficient and precise solutions. That's why fuzzy set covering models have been introduced in the literature from various perspectives. This work aimed to handle real-life uncertainties in an unbiased and autonomous way and provide more precise solutions to fuzzy set-covering facility location models in real-life contexts. Therefore, we propose a novel approach, adopting the autonomous fuzzy methodology consisting of fuzzy trapezoidal set coverage to minimize the cost of establishing new facilities. This work's main innovative achievements are that i) the set-covering facility location models were equipped with autonomous uncertainty management ability, ii) the trapezoidal fuzzy set coverage constituted a perfect fit for the management of uncertainties in a realistic way in the model, and iii) the relevant fuzzification was executed without any human/expert intervention/supervision. The well-known Turkish Network Data demonstrated the proposed model's efficacy. Furthermore, the results show that the developed model contributed to the overall theoretical framework of fuzzy approach employment in optimization models and outperformed classical version in numerical experiments
Multi-Objective Design Optimization of Additively Manufactured Lattice Structures for Improved Energy Absorption Performance
No full textThis paper aims to improve the energy absorption performance of stiffness-optimized lattice structures by utilizing a multi-objective surrogate-based size optimization that considers the additive manufacturing (AM) constraints such as the minimum printable size. A truss optimization is first utilized at the unit cell level under static compressive loads for stiffness maximization and two optimized lattice configurations called the Face-Body Centered Cubic (FBCC) lattice and the Octet Cubic (OC) are obtained. A multi-objective size optimization process is then carried out to improve the energy absorption capabilities of those lattice designs using non-linear compression simulations with Nylon12 material to be fabricated by the Multi Jet Fusion (MJF) AM process. Thin plate spline (TPS) interpolation method is found to produce very high accuracy as the surrogate model to predict the highly nonlinear response surfaces of energy absorption objectives in the optimization. Compared to the lattice designs with uniform strut diameters, by using the optimization process, the maximum energy absorption efficiency (EAEm) and the crush stress efficiency (CSE) of the OC lattice design are further improved up to 33% and 37%, respectively. The FBCC lattice design is also found to have superior EAEm performance compared to the existing lattice types considered for fabricating by the MJF process in the literature. © IMechE 2021
Computational Modeling of Motile Cilia-Driven Cerebrospinal Flow in the Brain Ventricles of Zebrafish Embryo
No full textMotile cilia are hair-like microscopic structures which generate directional flow to provide fluid transport in various biological processes. Ciliary beating is one of the sources of cerebrospinal flow (CSF) in brain ventricles. In this study, we investigated how the tilt angle, quantity, and phase relationship of cilia affect CSF flow patterns in the brain ventricles of zebrafish embryos. For this purpose, two-dimensional computational fluid dynamics (CFD) simulations are performed to determine the flow fields generated by the motile cilia. The cilia are modeled as thin membranes with prescribed motions. The cilia motions were obtained from a two-day post-fertilization zebrafish embryo previously imaged via light sheet fluorescence microscopy. We observed that the cilium angle significantly alters the generated flow velocity and mass flow rates. As the cilium angle gets closer to the wall, higher flow velocities are observed. Phase difference between two adjacent beating cilia also affects the flow field as the cilia with no phase difference produce significantly lower mass flow rates. In conclusion, our simulations revealed that the most efficient method for cilia-driven fluid transport relies on the alignment of multiple cilia beating with a phase difference, which is also observed in vivo in the developing zebrafish brain.Part of this work was supported by a FRIPRO grant from the Research Council of Norway (N.J.-Y. grant number 314189). The publication of this article was funded by the Qatar National Library.Research Council of Norway [314189]; Qatar National Librar
Efficient Hydrogen Generation With Co3o4@tio2-G Composite Catalyst Via Catalytic Nabh4 Hydrolysis
No full textIn this study, g-C3N4-TiO2 nanocomposite structure has been loaded with Co3O4 via electroless plating and thermal annealing to form Co3O4@g-C3N4-TiO2 catalyst material for H-2 generation from NaBH4 hydrolysis. The material characterizations of the fabricated catalyst have been performed before and after exposure to an aqueous NaBH4 solution to understand the changes in catalytic performance and material properties. The Arrhenius activation energies have been determined to be 58 kJ mol(-1). The hydrogen generation rates have been observed as 180 and 1200 mL min(-1) g(cat)(-1) for the catalyst hydrolysis of NaBH4 at 30 degrees C and 60 degrees C, respectively. The catalytic activity performed in NaBH4 solution exhibited good reusability.Belarusian Republican Foundation for Basic Research [T19TYuB-004]; Council for Scientific and Technological Research of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [119M030]This work was supported by the Belarusian Republican Foundation for Basic Research (Project No. T19TYuB-004) and the Council for Scientific and Technological Research of Turkey (TUBITAK) (Project No. 119M030)
Lqr Control and Observer Design of a Magnetically Suspended Ball
No full text4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2022 -- 9 June 2022 through 11 June 2022 -- -- 180434In this study, the control of an electromagnetically suspended ball with Linear Quadratic Regulator (LQR) controller and the design of the observer are explained. The differential equations of the system were extracted, and the model of the system was created using MATLAB program. The stability of the system was analyzed by plotting the root locus. The controllability and the observability of the system were analyzed. An Observer Based State Feedback Controller has been designed to control magnetically levitated ball. The performance of the system is examined by performing different simulations for the nonlinear system and the linearized system. The simulation results show that the linearized system around a working point performs better than the nonlinear system. © 2022 IEEE
Speculative Architecture: Adopting Critical Approach in the Architectural Learning Environment for a Better Future
No full textUnspoken Issues in Architectural Education | UIAE 2022In a world of continuous and rapid evolution, inevitably, the architectural design needs the expansion of the boundaries and capabilities of it to respond the changing conditions. Especially by taking a role as a facilitator of thinking on the vision of the society and the world in the way of bringing alternative values, forms, and representations out, architectural design should allow of searching what is beyond its limitations to develop an attitude towards today's environment. Evaluating the architectural learning environment as a multi-layered and experimental research medium in which such a creative and critical act of architectural design can be adopted, this article focuses on speculative architectural thinking in the architectural educational context, as a way to explorations of possibilities of architecture. With the idea of producing speculative scenarios regarding all the political, economic, social, cultural, and technological changes of the world by offering an interdisciplinary and emancipated way to design, speculative architecture proposes an architecture conception based on a critical approach and an openended field of inquiry in the architectural learning environment. In this respect, in this paper, the aim is to discuss the potentials and effects of speculative architecture for architectural design education, within a theoretical base comprising three prominent principles of it. For this purpose, the study addresses two speculative projects developed at the 2020-2021 Spring term Diploma Studio at TOBB University of Economics and Technology (TOBB ETU), Department of Architecture, as the relevant case. Therewithal, the discussion makes enable to obtain an indepth evaluation of what speculative architecture provides in the way of expanding the purview of architectural desig
Implications of Digitalized Interior Architectural Distance Education
No full textThe digital transformation has fostered significant developments and implications on the Interior Architectural Education like every other discipline. These progresses under the impact of numerous factors and components such as atmospheric, spatial identities, technical systems, conceptual meanings and technology besides its intellectual, spiritual, design, tectonics, functional and formal qualities have certain implementations. In Accordance, it is aimed to further building capacity innovative learning, and share teaching practices of knowledge in Interior architectural studio education by integrating digital transformation and its dynamic interaction and outcomes. Moreover, this study will present a deeper inside to their following issuesdesign studios, curricula and educational materials that are digitally transformed - Improvement of digital learning, it will increase digital literacy (digital knowledge + computational skills + tools) from Interior Architectural students, academicians and professionals. - innovation in curriculum. - share practice, expertise, and student projects. - Comments on all the open discussions (digital studio works, teaching methods and contents). This will provide an accumulation of knowledge of excursions, reviews, critics feedbacks and platform for spreading new teaching and learning environments that will enrich the pedagogical outcomes of the study as well as fertilizing a ground for digitalized Interior Architectural education
Güvenlik farkindalikli veritabani göçü planlamasi
No full textIn the age of Big Data, many companies work with a huge amount of data. Database migration is an important problem faced by companies dealing with big data. Not only is migration a costly procedure, it involves serious security risks as well. Due to the quality-of-service requirements, it is often not possible to migrate all databases at once. Therefore, companies prefer to perform database migration in multiple short time intervals called shifts. For some institutions, the primary focus is on reducing the cost of the migration operation, which manifests itself in application testing. For other institutions, minimizing security risks is the most important goal, especially if the data involved is of a sensitive nature. In the literature, the database migration problem has been studied from a test cost minimization perspective. This thesis focuses on an orthogonal measure, i.e., security risk minimization. The security risk is associated with the number of shifts needed to complete the migration task. Ideally, the migration should be completed in as few shifts as possible, so that the risk of data exposure is minimized. In this thesis, a formal framework for studying the database migration problem from the perspective of security risk minimization is provided. The framework consists of 24 models and it is designed so that it can take the different needs of the companies into account. The computational complexity of 23 of the 24 models is established. 16 of the models in the framework are NP-hard, and 7 of the models can be solved in polynomial time. Moreover, it is proven that 2 of the NP-hard models admit an asymptotic fully polynomial time approximation scheme while 12 of the NP-hard models does not admit a polynomial time approximation scheme. For the NP-hard models, several constructive heuristic and local search algorithms are designed, and memetic algorithms that employ these algorithms are developed. The memetic algorithms use 2 problem-specific crossover and 2 mutation operators. These memetic algorithms produce solutions that are within 10% in 95% of the instances and solve 72.1% of the instances optimally under 8 seconds. Furthermore, developed algorithms produce solutions that are within 7% in 95% of the instances and solve 74.5% of the instances optimally under 82 seconds.İçinde bulunduğumuz Büyük Veri çağında birçok firma devasa boyutlarda verilerle çalışmaktadır. Veritabanı göçü, büyük veri üstüne çalışan firmalar için önemli bir problemdir. Veritabanı göçünün, servis kalitesi gereksinimleri nedeniyle tek seferde gerçekleştirilmesi çoğu zaman mümkün değildir. Bu yüzden, firmalar veritabanı göçünü parti adı verilen birden çok kısa zaman aralığında gerçekleştirmeyi tercih etmektedirler. Veritabanı göçü maliyetli bir işlem olmasının yanı sıra ciddi güvenlik riskleri de içermektedir. Bu nedenle, veri göçü işleminde, bazı firmalar uygulama testlerinden kaynaklanan maliyeti düşürmeyi amaçlarken, göç ettirilecek verinin gizli veya hassas bilgiler içerdiği durumlarda firmalar güvenlik risklerini azaltmayı amaçlamaktadırlar. Literatürde veritabanı göçü planlaması problemi uygulama test maliyetinin azaltılması yönünden ele alınmıştır. Bu çalışma ise uygulama test maliyetine ortogonal bir metrik olan güvenlik riskinin azaltılmasına odaklanmaktadır. Veri ne kadar uzun süre erişme açık kalırsa, o kadar büyük bir güvenlik ihlal riski oluşturmaktadır. Dolayısıyla bu tezde ele alınan veritabanı göçü planlaması probleminde güvenlik riski göçün tamamlanması gereken parti sayısıyla ilişkilendirilmektedir. Buna bağlı olarak, güvenlik riskinin minimize edilmesi için veri göçü en az sayıda parti kullanılarak tamamlanmalıdır. Bu çalışmada veritabanı göçü planlaması probleminin güvenlik riskinin minimize edilmesi yönünden ele alınması için teorik bir problem çatısı tanımlanmaktadır. Bu çatı firmaların farklı ihtiyaçları göz önünde bulundurularak tasarlanmıştır ve toplamda 24 farklı modelden oluşmaktadır. Tanımlanan çatıdaki 24 problem modelinden 23 tanesinin hesaplama karmaşıklığı tespit edilmiştir. Bu modellerin 16 tanesinin NP-zor olduğu, 7 tanesinin ise polinom zamanda çözülebildiği tespit edilmiştir. Ayrıca NP-zor modellerden 2 tanesinin asimptotik tamamen polinom zamanlı yakınsama şemasına sahip olduğu, 12 tanesinin ise polinom zamanlı yakınsama şemasına sahip olmadığı ispatlanmıştır. NP-zor modeller için kurucu sezgisel algoritmalar, yerel arama algoritmaları ve bunları kullanan memetik algoritmalar geliştirilmektedir. Geliştirilen memetik algoritmalar problem spesifik 2 çaprazlama ve 2 mutasyon operatörü kullanmaktadır. Geliştirilen memetik algoritmalar 8 saniyeden az bir sürede, örneklerin %95'inde optimalden en fazla %10 uzaklıkta çözümler bulmakta ve örneklerin 72,1'ini optimal çözmektedir. Ayrıca, memetik algoritmalar 82 saniyeden kısa bir sürede, örneklerin %95'inde optimalden en fazla %7 uzaklıkta çözümler bulmakta ve örneklerin 74,5'ini optimal çözmektedir
Secondary Processing of Aramid With Awj and Optimization With Nsga-Iii
No full textThe secondary operations of composite parts are performed following thermal cure processes, which generate the final dimensions with desired tolerance and quality specifications. High-strength composites, on the other hand, especially aramid fiber-reinforced polymers (AFRP), are not suitable for conventional machining operations due in part to high operational costs and limited surface quality characterized by fuzziness and delamination. Abrasive Water Jet (AWJ) has been recently shown promising results in obtaining improved surface quality while ensuring significant cost advantages. This study investigates the AWJ processing of AFRP by implementing the analysis of variance and response surface methods. The effects of the control parameters (sand ratio, pressure, stand-off-distance, and feed rate) on the surface quality metrics (surface roughness, kerf angle, and dimensional error) are identified and comparatively evaluated. The surface quality of the AWJ processed AFRP specimens are investigated using Scanning Electron Microscopy (SEM). The trade-offs between the measured tolerances and surface roughness values are identified via a new genetic algorithm approach: Non-dominated Sorting Genetic Algorithm (NSGA-III). Also, operation regions are determined using the generated Pareto curves while improving the quality of various features of an AFRP component, critical to its functional performance during extended service life. As a result, the lowest Ra values obtained were 4.135 mu m for trimming, 5.962 mu m for pocketing, and 4.696 mu m for the hole-making operation. The maximum error in the accuracy of operating regions yields to 7% with independent measurements for validation.Turkiye Bilimsel ve Teknolojik Arastirma Kurumu [118M027]The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Turkiye Bilimsel ve Teknolojik Arastirma Kurumu, (grant number 118M027)