PubMed İndeksli Yayınlar Koleksiyonu
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Article Citation - WoS: 0Citation - Scopus: 0Convolutional Neural Network-Based Deep Learning for Landslide Susceptibility Mapping in the Bakhtegan Watershed(Nature Portfolio, 2025) Feng, Li; Zhang, Maosheng; Mao, Yimin; Liu, Hao; Yang, Chuanbo; Dong, Ying; Nanehkaran, Yaser A.Landslides pose a significant threat to infrastructure, ecosystems, and human safety, necessitating accurate and efficient susceptibility assessment methods. Traditional models often struggle to capture the complex spatial dependencies and interactions between geological and environmental factors. To address this gap, this study employs a deep learning approach, utilizing a convolutional neural network (CNN) for high-precision landslide susceptibility mapping in the Bakhtegan watershed, southwestern Iran. A comprehensive landslide inventory was compiled using 235 documented landslide locations, validated through remote sensing and field surveys. An equal number of non-landslide locations were systematically selected to ensure balanced model training. Fifteen key conditioning factors-including topographical, geological, hydrological, and climatological variables-were incorporated into the model. While traditional statistical methods often fail to extract spatial hierarchies, the CNN model effectively processes multi-dimensional geospatial data, learning intricate patterns influencing slope instability. The CNN model outperformed other classification approaches, achieving an accuracy of 95.76% and a precision of 95.11%. Additionally, error metrics confirmed its reliability, with a mean absolute error (MAE) of 0.11864, mean squared error (MSE) of 0.18796, and root mean squared error (RMSE) of 0.18632. The results indicate that the northern and northeastern regions of the Bakhtegan watershed are highly susceptible to landslides, highlighting areas where proactive mitigation strategies are crucial. This study demonstrates that deep learning, particularly CNNs, offers a powerful and scalable solution for landslide susceptibility assessment. The findings provide valuable insights for urban planners, engineers, and policymakers to implement effective risk reduction strategies and enhance resilience in landslide-prone regions.Article Citation - WoS: 0Citation - Scopus: 0Unveiling the Strain Uniformity Challenge: Design and Evaluation of a Pdms Membrane for Precise Mechanobiology Studies(Taylor & Francis Ltd, 2025) Duz, Nilufer; Gulsum, Yasin; Odeibat, Waleed; Uyanik, Ismail; Akar, Samet; Dincer, PervinMechanotransduction and mechanosensing enable cells to respond to mechanical stimuli, essential in various physiological functions. Specialized cell stretching devices use stretchable, transparent, and biocompatible elastomeric membranes to study these responses. However, achieving strain uniformity is a key challenge, affecting data accuracy and reliability. This study designed a polydimethylsiloxane (PDMS) membrane with optimized uniformity for electromechanical cell stretching. Finite element analysis optimized membrane size and shape, achieving a 90% strain uniformity index-a 233% improvement over commercial membranes. By tailoring material properties like cross-linker ratio and curing time, membrane failure issues were resolved, enhancing applications in tissue engineering and mechanobiology research.Article Citation - WoS: 3Citation - Scopus: 2A Comparison of Crystal Phenol Treatment, Midline Primary Closure and Limberg Flap Reconstruction Methods in Female Patients With Primary Pilonidal Sinus Disease(Edizioni Luigi Pozzi, 2021) Kanlioz, Murat; Uyanikoglu, Hacer; Ekici, Ugur; Karatas, Turgay; Tatli, FaikPilonidal sinus disease (PSD) is a chronic problem often occurs in healthy hirsute men, however, women may also be affected. A range of conservative techniques to surgical flaps have been used to treat this condition. Currently, midline primary closure (MPC) is considered the standard of therapy; however, no statistically significant difference has been noted between primary versus secondary (Karydakis flap or Limberg flap) closure. Recently, flap reconstruction methods have been applied and superiority of these methods have been shown. Treatment methods should be employed to the individual, taking into account recurrence and complication rates of the method, recovery time, patients' preference and surgeon's skill.Article Citation - WoS: 0Citation - Scopus: 0Fast Binary Logistic Regression(Peerj inc, 2025) Saran, Nurdan Ayse; Nar, FatihThis study presents a novel numerical approach that improves the training efficiency of binary logistic regression, a popular statistical model in the machine learning community. Our method achieves training times an order of magnitude faster than traditional logistic regression by employing a novel Soft-Plus approximation, which enables reformulation of logistic regression parameter estimation into matrix-vector form. We also adopt the L-f-norm penalty, which allows using fractional norms, including the L-2-norm, L-1-norm, and L-0-norm, to regularize the model parameters. We put L-f-norm formulation in matrix-vector form, providing flexibility to include or exclude penalization of the intercept term when applying regularization. Furthermore, to address the common problem of collinear features, we apply singular value decomposition (SVD), resulting in a low-rank representation commonly used to reduce computational complexity while preserving essential features and mitigating noise. Moreover, our approach incorporates a randomized SVD alongside a newly developed SVD with row reduction (SVD-RR) method, which aims to manage datasets with many rows and features efficiently. This computational efficiency is crucial in developing a generalized model that requires repeated training over various parameters to balance bias and variance. We also demonstrate the effectiveness of our fast binary logistic regression (FBLR) method on various datasets from the OpenML repository in addition to synthetic datasets.Article Citation - WoS: 1Citation - Scopus: 1Structure Functions for Optical Waves in a Complex Medium of Turbulent Biological Tissues(Optica Publishing Group, 2022) Ata, Yalcin; Baykal, Yahya; Gokce, Muhsin canerAlthough optical wave propagation is investigated based on the absorption and scattering in biological tissues, the turbulence effect can also not be overlooked. Here, the closed-form expressions of the wave structure func-tion (WSF) and phase structure function (PSF) of plane and spherical waves propagating in biological tissue are obtained to help with future research on imaging, intensity, and coherency in turbulent biological tissues. This paper presents the effect of turbulent biological tissue on optical wave propagation to give a perception of the per-formance of biomedical systems that use optical technologies. The behavior of optical waves in different types of turbulent biological tissues such as a liver parenchyma (mouse), an intestinal epithelium (mouse), a deep dermis (mouse), and an upper dermis (human) are investigated and compared. It is observed that turbulence becomes more effective with an increase in the characteristic length of heterogeneity, propagation distance, and the strength of the refractive index fluctuations. However, an increase in the fractal dimension, wavelength, and small length scale factor has a smaller turbulence effect on the propagating optical wave. We envision that our results may be used to interpret the performance of optical medical systems operating in turbulent biological tissues.(c) 2022 Optica Publishing GroupArticle Citation - WoS: 0Citation - Scopus: 1Field Correlations of Multimode Optical Beams in Underwater Turbulence(Optica Publishing Group, 2024) Baykal, Yahya; Gokce, Muhsin C.; Ata, Yalcin; Gercekcioglu, HamzaFor multimode optical beams, field correlations at the receiver plane are found in underwater turbulence. Field correlations of single high order beams in underwater turbulence are special cases of our formulation. Variations of field correlations against the underwater turbulence parameters and the diagonal length from various receiver points are examined for different multimode and single high order beams. Stronger underwater turbulence is found to reduce the field correlations of multimode and single high order optical beams. The results will be of help in heterodyne detection analysis and fiber coupling efficiency in an underwater medium experiencing turbulence. (c) 2024 Optica Publishing GroupArticle Citation - WoS: 0Citation - Scopus: 0Stability Analysis and Solutions of Fractional Boundary Value Problem on the Cyclopentasilane Graph(Cell Press, 2024) Wang, Guotao; Yuan, Hualei; Baleanu, Dumitru; MatematikThe study is being applied to a model involving silane and on cyclopentasilane graph. We consider a graph with labeled vertices by 0 or 1 inspired by the molecular structure of cyclopentasilane. In this paper, we first study the existence of solutions to fractional conformable boundary value problem on the cyclopentasilane graph by applying Scheafer and Krasnoselskii fixed point theorems. Furthermore, we investigate different kinds of Ulam stability such as Ulam-Hyers stable, generalized Ulam-Hyers stable, Ulam-Hyers-Rassias stable and generalized Ulam-HyersRassias stable for the given problem. Finally, we give an example to support our important results.Article Citation - WoS: 2Citation - Scopus: 2Expectancy From, and Acceptance of Augmented Reality in Dental Education Programs: a Structural Equation Model(Wiley, 2024) Toker, Sacip; Akay, Canan; Basmaci, Fulya; Kilicarslan, Mehmet Ali; Mumcu, Emre; Cagiltay, Nergiz ErcilObjectiveDental schools need hands-on training and feedback. Augmented reality (AR) and virtual reality (VR) technologies enable remote work and training. Education programs only partially integrated these technologies. For better technology integration, infrastructure readiness, prior-knowledge readiness, expectations, and learner attitudes toward AR and VR technologies must be understood together. Thus, this study creates a structural equation model to understand how these factors affect dental students' technology use.MethodsA correlational survey was done. Four questionnaires were sent to 755 dental students from three schools. These participants were convenience-sampled. Surveys were developed using validity tests like explanatory and confirmatory factor analyses, Cronbach's alpha, and composite reliability. Ten primary research hypotheses are tested with path analysis.ResultsA total of 81.22% responded to the survey (755 out of 930). Positive AR attitude, expectancy, and acceptance were endogenous variables. Positive attitudes toward AR were significantly influenced by two exogenous variables: infrastructure readiness (B = 0.359, beta = 0.386, L = 0.305, U = 0.457, p = 0.002) and prior-knowledge readiness (B = -0.056, beta = 0.306, L = 0.305, U = 0.457, p = 0.002). Expectancy from AR was affected by infrastructure, prior knowledge, and positive and negative AR attitudes. Infrastructure, prior-knowledge readiness, and positive attitude toward AR had positive effects on expectancy from AR (B = 0.201, beta = 0.204, L = 0.140, U = 0.267, p = 0.002). Negative attitude had a negative impact (B = -0.056, beta = -0.054, L = 0.091, U = 0.182, p = 0.002). Another exogenous variable was AR acceptance, which was affected by infrastructure, prior-knowledge preparation, positive attitudes, and expectancy. Significant differences were found in infrastructure, prior-knowledge readiness, positive attitude toward AR, and expectancy from AR (B = 0.041, beta = 0.046, L = 0.026, U = 0.086, p = 0.054).ConclusionInfrastructure and prior-knowledge readiness for AR significantly affect positive AR attitudes. Together, these three criteria boost AR's potential. Infrastructure readiness, prior-knowledge readiness, positive attitudes toward AR, and AR expectations all increase AR adoption. The study provides insights that can help instructional system designers, developers, dental education institutions, and program developers better integrate these technologies into dental education programs. Integration can improve dental students' hands-on experience and program performance by providing training options anywhere and anytime.Article Citation - WoS: 1Citation - Scopus: 1Initial Validation of the Turkish Version of the Defense Mechanisms Rating Scales-Self(Frontiers Media Sa, 2024) Yilmaz, Meltem; Tas, Berke; Celik, Deniz; Perry, J. Christopher; Tanzilli, Annalisa; Di Giuseppe, Mariagrazia; Lingiardi, VittorioThe Defense Mechanisms Rating Scales-Self Report-30 (DMRS-SR-30) was recently developed to add a self-report alternative to the assessment of defenses, reflecting their generally accepted hierarchical organization. In this study, we aimed to examine psychometric properties and factor structure of the Turkish language version of the DMRS-SR-30. The sample consisted of 1.002 participants who filled out a survey comprising the DMRS-SR-30, the Brief Symptom Inventory, and the Inventory of Personality Organization through Qualtrics. Confirmatory Factor Analysis indicated a three-factor structure (CFI = 0.89, RMSEA = 0.05) that confirms the DMRS theoretical frame with a relatively acceptable fit. Defensive categories and total scale scores showed good to excellent reliability (alpha values ranging from 0.64 to 0.89). Correlations between defenses, symptoms, and personality functioning demonstrated good convergent and discriminant validity. The individuals with clinically significant BSI scores (T-score >= 63) differed on the DMRS-SR-30 scores from the individuals in the non-clinical range. The Turkish version of the DMRS-SR-30 is a reliable and valid instrument to self-assess the hierarchy of defense mechanisms and overall defensive functioning. Moreover, the current study supports the validity of the tripartite model of defenses in a language and culture different from the origins of the DMRS and DMRS-SR-30.Article Citation - WoS: 2Citation - Scopus: 2Your Need for Cognition, Cognitive Flexibility, and Cognitive Emotion Regulation Strategies Matter! the Path Beyond a Satisfied Life(Routledge Journals, Taylor & Francis Ltd, 2024) Kaynak, Hande; Nazligul, Merve Denizci; Cengil, Betul BeyzaThis study explored the associations among cognitive flexibility, cognitive emotion regulation (CER) strategies, need for cognition, and life satisfaction, which represents a cognitive component of subjective well-being. Previous studies have shown the importance of adaptive CER strategies for well-being, while maladaptive strategies have been linked to negative outcomes such as psychological distress, depression, and anxiety. Additionally, the need for cognition has been associated with cognitive flexibility and positive outcomes in various domains. However, the specific roles of cognitive flexibility and CER strategies in the relationship between need for cognition and life satisfaction remain relatively unexplored in the existing literature. This study aimed to address this gap by investigating how cognitive flexibility and different CER strategies contribute to the relationship between need for cognition and life satisfaction in a non-clinical sample of 239 adults via a survey consisting of a demographic information form, need for cognition scale, cognitive flexibility inventory, cognitive emotion regulation questionnaire, and satisfaction with life scale. The results demonstrated that when individuals with a high need for cognition had cognitive flexibility, they were more likely to use adaptive cognitive emotion regulation strategies, resulting in elevated life satisfaction. The findings of this study may provide insights into the underlying mechanisms that influence individuals' cognitive processes, cognitive emotional regulation, and overall life satisfaction. Such understanding can have implications for interventions aimed at enhancing cognitive flexibility, promoting adaptive CER strategies, and ultimately fostering improved life satisfaction.Article Citation - WoS: 20Citation - Scopus: 21Psychological Well-Being in Europe After the Outbreak of War in Ukraine(Nature Portfolio, 2024) Scharbert, Julian; Humberg, Sarah; Kroencke, Lara; Reiter, Thomas; Sakel, Sophia; ter Horst, Julian; Back, Mitja D.The Russian invasion of Ukraine on February 24, 2022, has had devastating effects on the Ukrainian population and the global economy, environment, and political order. However, little is known about the psychological states surrounding the outbreak of war, particularly the mental well-being of individuals outside Ukraine. Here, we present a longitudinal experience-sampling study of a convenience sample from 17 European countries (total participants = 1,341, total assessments = 44,894, countries with >100 participants = 5) that allows us to track well-being levels across countries during the weeks surrounding the outbreak of war. Our data show a significant decline in well-being on the day of the Russian invasion. Recovery over the following weeks was associated with an individual's personality but was not statistically significantly associated with their age, gender, subjective social status, and political orientation. In general, well-being was lower on days when the war was more salient on social media. Our results demonstrate the need to consider the psychological implications of the Russo-Ukrainian war next to its humanitarian, economic, and ecological consequences.Article Citation - WoS: 0Citation - Scopus: 0Teaching Computer Architecture by Designing and Simulating Processors From Their Bits and Bytes(Peerj inc, 2024) Dogan, Mustafa; Oztoprak, Kasim; Tolun, Mehmet ResitTeaching computer architecture (Comp-Arch) courses in undergraduate curricula is becoming more of a challenge as most students prefer software-oriented courses. In some computer science/engineering departments, Comp-Arch courses are offered without the lab component due to resource constraints and differing pedagogical priorities. This article demonstrates how students working in teams are motivated to study the Comp-Arch course and how instructors can increase student motivation and knowledge by taking advantage of hands-on practices. The teams are asked to design and implement a 16-bit MIPS-like processor with constraints as a specific instruction set, and limited data and instruction memory. Student projects include following three phases, namely, design, desktop simulator implementation, and verification using hardware description language (HDL). In the design phase, teams develop their Comp-Arch to implement specified instructions. A range of designs resulted, e.g., (a) a processor with extensive user-defined instructions resulting in longer cycle times (b) a processor with a minimal instruction set but with a faster clock cycle time. Next, teams developed a desktop simulator in any programming language to execute instructions on the architecture. Finally, students engage in Verilog Hardware Description Language (HDL) projects to simulate and verify the data-path designed during the initial phase. Student feedback and their current understanding of the project were collected through a questionnaire featuring varying Likert scale questions, some with a ten-point scale, and others with a five- point scale. Results of the survey show that the hands-on approach increases students' motivation and knowledge in the Comp-Arch course, which is centered around computer system design principles. This approach can also be effectively extended to related courses, such as Microprocessor Design, which delves into the intricacies of creating and implementing microprocessors or central processing units (CPUs) at the hardware level. Furthermore, the present study demonstrates that interactions, specifically through peer reviews and public presentations, between students in each phase increases their knowledge and perspective on designing custom processors.Article Citation - WoS: 2Citation - Scopus: 2My Partner Really Gets Me: Affective Reactivity To Partner Stress Predicts Greater Relationship Quality in New Couples(Amer Psychological Assoc, 2024) Selcuk, Emre; Gunaydin, Gul; Ascigil, Esra; Bayraktaroglu, Deniz; Ong, Anthony D.Affective reactivity, defined as within-person increases in negative affect triggered by daily stressors, has well-established links to personal well-being. Prior work conceptualized affective reactivity as an intrapersonal phenomenon, reflecting reactions to one 's own stressors. Here, we conceptualized reactivity interpersonally, examining one 's responses to a romantic partner 's daily stressors. Across four longitudinal dyadic studies, we investigated how reactivity to partner stress predicts relationship quality appraisals. In fledgling couples, reactivity to a partner 's stressors, assessed via weekly (Study 1; N = 152) and daily (Study 2; N = 144) diaries, positively predicted partner relationship quality. In both studies, the associations were mediated by the partner 's perceptions of responsiveness. Furthermore, reactivity to partner stress buffered against declines in partner relationship quality over 8 weeks in Study 1 and 13 months in Study 2. The relevance of reactivity to partner stress for relationship quality diminished in the later stages of relationships. Among samples of established couples (Studies 3 and 4, Ns = 164 and 208, respectively), reactivity to partner stress did not directly predict partner relationship quality or moderate its trajectory over time. Overall, the predominant pattern across four studies painted a portrait of relational well-being benefits specific to fledgling relationships. Through its novel framework of situating affective reactivity interpersonally between partners, the present research contributes to both affective science and relationship science.Article Citation - WoS: 2Citation - Scopus: 3Quantitative Assessment and Objective Improvement of the Accuracy of Neurosurgical Planning Through Digital Patient-Specific 3d Models(Frontiers Media Sa, 2024) Hanalioglu, Sahin; Gurses, Muhammet Enes; Baylarov, Baylar; Tunc, Osman; Isikay, Ilkay; Cagiltay, Nergiz Ercil; Berker, MustafaObjective Neurosurgical patient-specific 3D models have been shown to facilitate learning, enhance planning skills and improve surgical results. However, there is limited data on the objective validation of these models. Here, we aim to investigate their potential for improving the accuracy of surgical planning process of the neurosurgery residents and their usage as a surgical planning skill assessment tool.Methods A patient-specific 3D digital model of parasagittal meningioma case was constructed. Participants were invited to plan the incision and craniotomy first after the conventional planning session with MRI, and then with 3D model. A feedback survey was performed at the end of the session. Quantitative metrics were used to assess the performance of the participants in a double-blind fashion.Results A total of 38 neurosurgical residents and interns participated in this study. For estimated tumor projection on scalp, percent tumor coverage increased (66.4 +/- 26.2%-77.2 +/- 17.4%, p = 0.026), excess coverage decreased (2,232 +/- 1,322 mm2-1,662 +/- 956 mm2, p = 0.019); and craniotomy margin deviation from acceptable the standard was reduced (57.3 +/- 24.0 mm-47.2 +/- 19.8 mm, p = 0.024) after training with 3D model. For linear skin incision, deviation from tumor epicenter significantly reduced from 16.3 +/- 9.6 mm-8.3 +/- 7.9 mm after training with 3D model only in residents (p = 0.02). The participants scored realism, performance, usefulness, and practicality of the digital 3D models very highly.Conclusion This study provides evidence that patient-specific digital 3D models can be used as educational materials to objectively improve the surgical planning accuracy of neurosurgical residents and to quantitatively assess their surgical planning skills through various surgical scenarios.Article Citation - WoS: 0Citation - Scopus: 0Relationships of Transformational and Paternalistic Leadership Styles With Follower Needs, Multidimensional Work Motivations and Organizational Commitment: a Mediated Model(Sage Publications inc, 2024) Civit, Selinay; Goncu-Kose, AsliPaternalistic Leadership (PL) style is suggested to be an emic manifestation of Transformational Leadership (TL) in cultural contexts characterized by high power distance and collectivism. The present study investigated the effects of TL and PL behaviors on employees' multidimensional work motivation and organizational commitment and the mediating effects of satisfaction of psychological needs (needs for autonomy, competence, and relatedness) in these relationships. Data were collected from 423 white-collar employees and analyzed by Structural Equation Modeling. The findings revealed that TL was significantly related to employees' autonomous and controlled work motivations as well as amotivation via its association with the satisfaction of employees' needs for autonomy, competence, and relatedness. PL was associated with employees' autonomous work motivations and amotivation via satisfaction of employees' need for relatedness. Autonomous motivations were positively associated with affective commitment; whereas controlled motivations were positively related to normative commitment. Amotivation was negatively associated with all types of commitment. The findings are discussed in terms of theoretical and practical implications as well as suggestions for future research.Article Citation - WoS: 0Citation - Scopus: 0Psychotherapeutic Interventions Used in Psychological Treatment Studies With Syrian Refugees: a Systematic Review(Sage Publications inc, 2024) Yilmaz, Tugba; Karakus, CansuThe ongoing conflicts in the Middle East have led to a substantial influx of Syrian refugees, exposing them to severe traumatic experiences and contributing to a range of mental health issues. This systematic review examines psychotherapeutic interventions employed in psychological treatment studies with Syrian refugees, focusing on 22 articles identified across Scopus, PubMed, Web of Science, and ScienceDirect. The review highlights the need for psychotherapeutic intervention for Syrian refugees due to the high prevalence of post-traumatic stress, depression, anxiety, grief, and loss which results from an increased risk of various forms of violence and exploitation. Psychotherapeutic interventions in the reviewed studies were Problem Management Plus (PM+), Cognitive Behavioral Therapy (CBT), eye movement, desensitization and reprocessing therapy (EMDR), narrative therapy, dance and movement therapy, art therapy, psychosocial interventions, and online psychotherapy. In the studies conducted with young and child refugees, various psychotherapeutic interventions such as cognitive-behavioral skills therapy, EMDR group therapy, art, dance and movement therapy, and early adolescence skills for emotions were applied. In studies conducted with adult refugees, it is noteworthy that studies frequently applied the PM+ intervention. It is seen that PM+ was applied especially in the camp environment at the beginning of the refugee process. In most of the studies, group format and face-to-face psychotherapeutic intervention were preferred. The findings emphasize the importance of tailored interventions that account for the cultural backgrounds and experiences of Syrian refugees. By addressing these barriers and implementing culturally sensitive approaches, mental health professionals can better support the psychological recovery and integration of Syrian refugees in host countries.Article Citation - WoS: 0Citation - Scopus: 0A Novel Hole Performance Index To Evaluate the Hole Geometry and Drilling Time in the Electrochemical Drilling Process(Public Library Science, 2024) Tosun, N.; Ozerkan, H. B.; Cogun, C.; Cep, RobertElectrochemical Drilling (ECD) is an unconventional method aimed at creating holes in metallic workpieces characterized by high hardness and complex structures. This study analyzes the influence of process variables, including machining voltage, electrolyte concentration, electrode rotational speed, electrolyte flushing pressure, and workpiece material, on the novel hole performance index (HPI) in electrical discharge machining (ECD). The HPI was identified as a suitable metric for simultaneously evaluating hole geometry and drilling time across various machining parameters and workpiece materials. The analysis of variance (ANOVA) method was employed to determine the significance of each machining parameter and workpiece material on the HPI. The research employed signal-to-noise ratio analysis to identify the optimal machining parameters. The findings demonstrated that the workpiece material and machining voltage were significant factors influencing HPI. The validation tests demonstrated that the proposed statistical method can significantly reduce HPI.Article Citation - WoS: 0Citation - Scopus: 0Impact of Indoor Soundscape Workshop on Sound Awareness of Interior Architecture Studentsa)(Acoustical Soc Amer Amer inst Physics, 2025) Al-Bayyar, Zinah; Yorukoglu, Papatya Nur Dokmeci; Kitapci, Kivanc; Bayrak, Ozlem TurkerThis study aims to investigate the effects of attending a soundscape workshop on the awareness of sound as a design element for interior architects. The workshop is structured in three phases: theoretical lectures, practical applications, and discussions. In the first phase, fundamentals of architectural acoustics, the sense of place, and soundscape theory were delivered through theoretical lectures. In the second phase, participants were asked to design a sound environment for a restaurant and an office. In the third and final phase, participants discussed their sound designs from the perspectives of the lectures and sound-related topics. Additionally, participants completed an open-ended questionnaire to evaluate their workshop experience and provided suggestions for improvement. The effectiveness of the workshop in raising awareness was tested using a pre-test/post-test analysis method, with data collected through structured questionnaires completed by participants before and after the workshop. The results of the statistical analysis show that attending the workshop changed participants' evaluations of sound expectations and preferences, as well as their sensitivity to sound. The findings indicate that participating in an indoor soundscape workshop can positively influence interior architects' understanding of sound as a design element to be considered in their future work. (C) 2025 Acoustical Society of America.Article Citation - WoS: 2Citation - Scopus: 2Gan-Based Novel Approach for Generating Synthetic Medical Tabular Data(Mdpi, 2024) Nasimov, Rashid; Nasimova, Nigorakhon; Mirzakhalilov, Sanjar; Tokdemir, Gul; Rizwan, Mohammad; Abdusalomov, Akmalbek; Cho, Young-ImThe generation of synthetic medical data has become a focal point for researchers, driven by the increasing demand for privacy-preserving solutions. While existing generative methods heavily rely on real datasets for training, access to such data is often restricted. In contrast, statistical information about these datasets is more readily available, yet current methods struggle to generate tabular data solely from statistical inputs. This study addresses the gaps by introducing a novel approach that converts statistical data into tabular datasets using a modified Generative Adversarial Network (GAN) architecture. A custom loss function was incorporated into the training process to enhance the quality of the generated data. The proposed method is evaluated using fidelity and utility metrics, achieving "Good" similarity and "Excellent" utility scores. While the generated data may not fully replace real databases, it demonstrates satisfactory performance for training machine-learning algorithms. This work provides a promising solution for synthetic data generation when real datasets are inaccessible, with potential applications in medical data privacy and beyond.Article Citation - WoS: 1Citation - Scopus: 1Age-Related Decline in Source and Associative Memory(Springer Heidelberg, 2025) Sumer, Erdi; Kaynak, HandeThis review explores the multifaceted nature of age-related decline in source memory and associative memory. The review highlights the potential effects of age-related decline in these types of memory. By integrating insights from behavioral, cognitive, and neuroscientific research, it examines how encoding, retrieval, and neural mechanisms influence this decline. Understanding these processes is critical to alleviate memory decline in older adults. Directing attention to source information during encoding, employing unitization techniques to strengthen memory associations, and utilizing metacognitive strategies to focus on relevant details show promise in enhancing memory retrieval for older adults. However, the review acknowledges limitations in processing resources and executive function, necessitating a nuanced approach to the complexities of age-related decline. In conclusion, this review underscores the importance of understanding the complexities of age-related source and associative memory decline and the potential benefits of specific cognitive strategies. It emphasizes the need for continued research on age-related memory function to improve the quality of life for aging populations.
