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Clozapine-Associated Sialorrhea: A Literature Review
No full textBackground Clozapine has demonstrated efficacy in treating treatment-resistant schizophrenia; however, it has a wide range of side effects. Sialorrhea is a common side effect of clozapine that causes the patient to withdraw from social life. This review aims to evaluate and summarize the prevalence, mechanism, risk factors, and management of clozapine-associated sialorrhea. Procedures The literature was explored for the prevalence, the mechanisms, the risk factors, and the management of sialorrhea. The following search strings and terms were used: "clozapine,""sialorrhea,""hypersalivation,""clozapine induced sialorrhea,"and "clozapine induced hypersalivation". Study Results Hypersalivation is one of the most common side effects of clozapine. Over the course of clozapine therapy, hypersalivation has been reported to have an incidence of 30% to -80%. Although different treatment approaches are applied on a case-by-case basis in the clinic, depending on the practitioners' preferences, there is a lack of clear guidelines for managing this common side effect that jeopardizes patients' social life. Conclusions It is important for healthcare professionals and patients that some clear treatment options for clozapine-associated sialorrhea are brought to the forefront and widely used, especially based on the research conducted to date. © Wolters Kluwer Health, Inc. All rights reserved
Cumhuriyetimizin 100. Yılında 6. Uluslararası Türkiye Türkçesi Ağız Araştırmaları Çalıştayı Bildirileri (5-7 Ekim 2023, Elâzığ)
No full textEser, Türk Dil Kurumu ve Fırat Üniversitesi ile iş birliği 5-7 Ekim 2023 tarihinde Elâzığ’da düzenlenen “6. Türkiye Türkçesi Ağız Araştırmaları Çalıştayı”nda alanın uzmanları tarafından sunulan bildirilerden oluşmaktadır. Çalıştayda ağızlar, özellikle genç araştırmacılar tarafından farklı boyutları ve farklı bakış açılarıyla ele alınmış; sunulan bildiriler daha sonra tartışmaların ışığında yeniden gözden geçirilmiş, eklemeler ve çıkarmalar yapılarak kitap hâline getirilmiştir. Çalıştay kitabı, e-kitap olarak okuyucuların istifadesine sunulmuştur
When Are Sensing Symbols Required for Isac?
No full textThis paper investigates beamforming strategies for integrated sensing and communication (ISAC) systems, where shared signal resources are employed for these services. The proposed framework focuses on maximizing the signal-to-noise ratio (SNR) of the target echo while satisfying the communication rate requirement. Addressing the challenges posed by the higher peak-to-average-power ratio (PAPR) of communication waveforms than sensing waveforms, we provide a detailed analysis and offer valuable insights into power assignment techniques that account for PAPR considerations. We reveal that the integration of constant-modulus sensing signals results in a substantial enhancement in sensing SNR, and numerical results underscore the effectiveness of leveraging sensing signals within the ISAC framework. These findings highlight the potential for achieving superior sensing performance by using dedicated constant-modulus sensing signals. IEE
Partial Fibonomial and Lucanomial Sums Through the Extended Q-Kummer Formula
No full textBy employing identities for extended q-Kummer theorems, we examine partial sums involving products of two Fibonomial/Lucanomial coefficients. Seven remarkable closed formulae are established
Modeling of a Dc Motor and Position Angle Control Using Optimized Pid Controller
No full textNowadays, DC (direct current) motors are widely used in industry. Air conditioners, computer drives, electric toothbrushes, portable vacuum cleaners, drilling machines, trimmers, food mixers are some areas where DC motors are used. Moreover, large DC motors are used in propulsion of electric vehicles, elevators, hoists, and in drives for steel rolling mills. Thus, controller design for DC motors is of great importance due to their widespread use. In this research, modeling of a DC motor and position angle controller design is explained. Optimum PID (proportional-integral-derivative) controller coefficients are obtained tuning the PID controller and thus a controller design with fast rise time, low overshoot, short settling time and no steady state error is achieved. The DC motor is modeled in both MATLAB and Simulink, simulations are realized with both of them and the same successful results are obtained. © 2024 IEEE
The Role of Civil Initiatives in the Adaptive Reuse of Industrial Heritage in Türkiye: Cases of Feshane, Yedikule and Hasanpaşa Gasworks
No full textKültürel miras varlıkları, endüstriyel alanlar da dâhil olmak üzere, somut ve somut olmayan bağlar kurarak toplumsal kimliklerin şekillenmesinde önemli bir rol oynar. Endüstriyel miras, 20. yüzyılın ortalarında, geleneksel endüstrilerin küresel çapta gerilemesiyle eş zamanlı olarak yeni bir çalışma alanı olarak ortaya çıkmıştır. Bu dönemde ve sonrasında birçok fabrika, maden ocakları, demiryolu ve diğer endüstriyel yapı terk edilmiş, bu da tarihsel, kültürel ve teknik önemlerini fark eden akademisyenler, mimarlar ve koruma uzmanlarının dikkatini çekmektedir. Bu alanların günümüzde kullanılabilmesi, korunması ve yeniden işlevlendirilmesi, sürdürülebilir bir gelecek anlatısı oluşturmayı hedefleyen kapsamlı koruma uygulamaları ve stratejik planlama gerektirir. Türkiye'de endüstriyel mirasın korunması, sınırlı kamu farkındalığı, mali kısıtlamalar, yasal boşluklar ve yapıların fiziksel bozulması gibi zorluklarla karşı karşıya olduğu için yeterli düzeyde gelişmemiştir. Bu tez, topluluk temelli ve sanatçı odaklı miras yaklaşımları aracılığıyla endüstri mirasının uyarlanabilir yeniden kullanımını inceleyerek dönüşüm süreçlerine ve disiplinler arası sanatsal pratiklerin katkılarına ilişkin kapsamlı bir bakış açısı sunar. Çalışma, Türkiye'deki üç örnek olguya odaklanmaktadır: Feshane ve Yedikule Gazhanesi (1989 ve 1992 yıllarındaki Seretonin etkinlikleri) ile Hasanpaşa Gazhanesi (tescillenme ve yeniden işlevlendirme süreci 1994 yılında başlamıştır). Metodoloji, sahada yapılan gözlemleri, sanatçılar, kültürel kolektif üyeleri, profesyoneller ve akademisyenler de dâhil olmak üzere çeşitli paydaşlarla yapılan görüşmeleri ve belirlenen değerlendirme kriterlerine göre analiz edilen arşiv incelemelerini içermektedir. Bulgular, yeniden işlevlendirme süreçlerinin kamu farkındalığını artırdığını, kentsel yenilenmeyi teşvik ettiğini ve endüstriyel alanların tarihsel, sosyal ve teknik değerlerini koruduğunu göstermektedir. Ayrıca çalışma, sivil inisiyatiflerin adil kentsel dönüşümleri şekillendirme ve karar alma süreçlerini etkilemedeki kritik rolünü vurgulamaktadır. Bu tez, endüstriyel mirasın korunmasına ilişkin tartışmalara katkıda bulunarak, mirası koruma ile çağdaş kentsel ihtiyaçları dengeleyen pratik çerçeveler sunar, katılımcı ve yaratıcı yaklaşımların sürdürülebilir kentsel kalkınmadaki dönüştürücü potansiyelini vurgular. Anahtar Kelimeler: Endüstri mirası, Uyarlanabilir yeniden kullanım, Sivil inisiyatifler, Seretonin etkinlikleri, Yedikule Gazhanesi, Feshane, Hasanpaşa GazhanesiCultural heritage assets, including industrial sites, play a crucial role in shaping societal identities by establishing tangible and intangible connections to the past. Industrial heritage emerged as a new field of study in the mid-20th century, coinciding with the global decline of traditional industries. This shift left numerous factories, mines, railways, and other industrial structures abandoned, prompting scholars, architects, and conservationists to recognize their historical, cultural, and technical significance. Preserving and repurposing these sites for contemporary use requires comprehensive conservation practices and strategic planning to create sustainable narratives for their future. In Türkiye, industrial heritage conservation remains insufficiently developed, as it faces challenges such as limited public awareness, financial constraints, legislative gaps, and the physical degradation of structures. This thesis examines the adaptive reuse of industrial heritage through community-based and artist-driven heritage approaches, providing a comprehensive perspective on the transformation processes and the contributions of interdisciplinary artistic practices. The thesis focuses on three case studies in Türkiye: Feshane and Yedikule Gasworks (through Seretonin events of 1989 and 1992) and Hasanpaşa Gasworks (adaptive reuse process initiated in 1994). The methodology combines site observations, interviews with diverse stakeholders—including artists, members of cultural collectives, professionals, and academics—and archival analysis, assessed using designated evaluation criteria. The findings demonstrate that actions of adaptive reuse, which needs good strategies to realize qualified conservation examples, enhance public awareness, foster urban revitalization, and preserve industrial sites' historical, social, and technical values. Furthermore, the study highlights the pivotal role of civil initiatives in shaping equitable urban transformations and influencing decision-making processes. This thesis contributes to the discourse on industrial heritage conservation by offering practical frameworks that balance heritage conservation with contemporary urban needs, emphasizing the transformative potential of participatory and creative approaches in sustainable urban development. Keywords: Industrial heritage, Adaptive reuse, Civil initiatives, Seretonin events, Yedikule Gasworks, Feshane, Hasanpaşa Gaswork
Comparison of Reacting Ddes and Les Cfd Simulation Methodologies for a Dual Inlet Ramjet Engine Combustor
No full textAvestia Publishing; Dantec dynamics; International Aset; UK National Hear Transfer Committee; Where 2 SubmitThe concept of an integrated rocket ramjet was initially introduced in the 1960s, leading to decades of research into dump combustor design [1]–[3]. The incoming air jets generate four corner vortices, while the dump section creates suction, collectively shaping the reactors. Therefore, the design of dump section is critical for a successful propulsion systems development. Parameters such as pressure drop, pressure fluctuations, and combustion efficiency must be evaluated across various flight regimes. Some of the known factors that affect overall ramjet engine performance include the size and efficiency of the reactors, dump effects, the dimensions of air intakes, angle, intake curvature, the flow separators in the intake flow stream, Reynolds number, and combustor dimensions [4]–[7]. The inherent inability to scale ramjet engine combustion chambers [8] poses a challenge when evaluating various geometrical configurations and operating points through experimentation. As a result, Computational Fluid Dynamics (CFD) becomes a crucial tool for advancing the development of ramjet propulsion engines. In this study, Large Eddy Simulation (LES) and Delayed Detached Eddy Simulation (DDES) techniques, coupled with the Steady Laminar Flamelet combustion model, are used to model a generic ramjet combustor which is introduced by Ristori et al. [9]. The experimental data used in context of the work is studied by many researchers to have more insight of combustion phenomenon in ramjet engine combustor [10], [11]. Grid convergence was ensured through the application of the Richardson extrapolation method [12], and the grid quality was evaluated using the M-index defined by Pope [13]. A close agreement between both LES and DDES approaches, and experimental data was observed, confirming their accuracy in simulating the complex flow behaviour of the combustor. The findings reveal that both approaches provide good agreement with the experimental data regarding velocity profiles with only some minor discrepancies. However, a noteworthy distinction between DDES and LES is the behaviour of Turbulent Kinetic Energy and its distribution. The LES with WALE subgrid scale model tends to predict higher levels of Turbulent Kinetic Energy in the near-wall region compared to DDES, resulting in improved mixing and the formation of an early heated zone. This early combustion phase leads to a higher flow expansion and hence an increase in axial velocity, causing LES WALE to overestimate axial velocity at x=270 mm, whereas DDES predictions align slightly better with the experimental data. Both DDES and LES WALE simulations tend to overestimate combustion efficiency compared with measurements. However, the total pressure loss is well predicted by both approaches with only a discrepancy of lower than 0.3% compared to measured data that is well within the measurement error range. It's important to note that the overprediction of combustion efficiency remains an open issue, as discussed by other researchers also [11]. Future simulations could be extended to calculate heat loss to the walls what could be an explanation for the overprediction of combustion efficiency. The present research demonstrates that the Steady Laminar Flamelet model is capable of predicting flow structures in a ramjet combustor under reacting conditions. Within LES simulations, the prediction of turbulent kinetic energy within the near-wall region was enhanced, resulting in faster mixing and an overestimation of combustion efficiency. Even closer agreement with experimental data was achieved in DDES predictions, highlighting the effectiveness of employing eddy simulation with near-wall modeling when wall resolution is unfeasible. This approach not only demonstrates better agreement between DDES predictions and experimental data but also showcases its efficiency in reducing the need for excessively refined meshes in the study of dump-type low subsonic combustors. © 2024, Avestia Publishing. All rights reserved
Detection of Asphyxia and Apnea of Newborns Under Incubator Treatment Using Respiration Signals and Machine Learning
No full textPremature infants may have several health problems, breathing problems are the most common form of these problems. Detection of breathing problems in newborns accurately is a very important issue. Premature infants generally are taken in neonatal intensive care under incubator treatment. This study aimed to propose a machine learning-based algorithm using respiration signals of infants to detect abnormal respiration events. 9 Time domain features were extracted from respiration signals and used as inputs of classifiers. The neighborhood component analysis method was applied to detect the most important features. 4 Features were selected as important features and were given as inputs of classifiers. The K-Nearest Neighbors KNN (K=9) algorithm reached the best performance when 2 different feature sets were given as inputs. The accuracy of KNN (K=9) with 9 features was 92.05%+/- 8.02% while with 4 features was 90.68%+/- 2.11%.The Scientific and Technological Research Council of Turkey (TUBITAK) supports this research financially with the TEYDEB 1501 foundation program under grant no. 3220964 is gratefully acknowledged.Scientific and Technological Research Council of Turkey (TUBITAK) [3220964
Beyond Expectations: Safinamide's Unprecedented Neuroprotective Impact on Acute Spinal Cord Injury (11 Apr, 10.1007/S00068-024-02513-y, 2024)
No full textBulut Gokten, Dilara/0000-0002-9226-7532; ZIRH, Selim/0000-0002-7962-6078[No Abstract Available
Quetzal: Vector Acceleration Framework for Modern Genome Sequence Analysis Algorithms
No full textACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA) -- JUN 29-JUL 03, 2024 -- Buenos Aires, ARGENTINAGenome sequence analysis is fundamental to medical breakthroughs such as developing vaccines, enabling genome editing, and facilitating personalized medicine. The exponentially expanding sequencing datasets and complexity of sequencing algorithms necessitate performance enhancements. While the performance of software solutions is constrained by their underlying hardware platforms, the utility of fixed-function accelerators is restricted to only certain sequencing algorithms. This paper presents QUETZAL, the first general-purpose vector acceleration framework designed for high efficiency and broad applicability across a diverse set of genomics algorithms. While a commercial CPU's vector datapath is a promising candidate to exploit the data-level parallelism in genomics algorithms, our analysis finds that its performance is often limited due to long-latency scatter/gather memory instructions. QUETZAL introduces a hardware-software co-design comprising an accelerator microarchitecture closely integrated with the CPU's vector datapath, alongside novel vector instructions to fully capitalize on the proposed hardware. QUETZAL integrates a set of scratchpad-style buffers meticulously designed to minimize latency associated with scatter/gather instructions during the retrieval of input genome sequences data. QUETZAL supports both short and long reads, and different types of sequencing data formats. A combination of hardware and software techniques enables QUETZAL to reduce the latency of memory instructions, perform complex computation using a single instruction, and transform data representations at runtime, resulting in overall efficiency gain. QUETZAL significantly accelerates a vectorized CPU baseline on modern genome sequence analysis algorithms by 5.7x, while incurring a small area overhead of 1.4% post place-and-route at the 7nm technology node compared to an HPC ARM CPU.The authors would like to thank all of our anonymous reviewers for their valuable feedback, meticulous reviews and comments, which have allowed us to improve this work considerably. Nishil Talati received partial support from the Excelencia Severo Ochoa mobility program CEX2021-001148-S/funded by MCIN/AEI/10.13039/501100011033. This work has been partially supported by the Spanish Ministry of Science and Innovation PID2019-107255GB-C21 funded by MICIU/AEI/10.13039/501100011033. We acknowledge the generous gifts provided by our industrial partners, including IBM, Google, Huawei, Intel, Microsoft, and VMware. This research was partially supported by the EU Horizon project BioPIM (grant agreement 101047160), the AI Chip Center for Emerging Smart Systems Limited (ACCESS), the Swiss National Science Foundation (SNSF), Semiconductor Research Corporation (SRC), and the ETH Future Computing Laboratory (EFCL).Excelencia Severo Ochoa mobility program [MCIN/AEI/10.13039/501100011033]; Spanish Ministry of Science and Innovation [PID2019-107255GB-C21, MICIU/AEI/10.13039/501100011033]; IBM; Google; Huawei; Intel; Microsoft; VMware; EU Horizon project BioPIM [101047160]; AI Chip Center for Emerging Smart Systems Limited (ACCESS); Swiss National Science Foundation (SNSF); Semiconductor Research Corporation (SRC); ETH Future Computing LaboratoryIEEE,Assoc Comp Machinery,IEEE Comp Soc Tech Comm Comp Architecture,Real Labs Res,ACM SIGARCH,AMD,Ant Res,Huawei,Google,Intel,Microsoft,ARM,IBM,MangoBoost,Vmware,Univ Res Fund,Qualcomm,Samsun