55,098 results on '"Aksoy A"'
Search Results
2. (SPT-)LSM theorems from projective non-invertible symmetries
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Pace, Salvatore D., Lam, Ho Tat, and Aksoy, Ömer M.
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Condensed Matter - Strongly Correlated Electrons ,High Energy Physics - Theory ,Quantum Physics - Abstract
Projective symmetries are ubiquitous in quantum lattice models and can be leveraged to constrain their phase diagram and entanglement structure. In this paper, we investigate the consequences of projective algebras formed by non-invertible symmetries and lattice translations in a generalized $1+1$D quantum XY model based on group-valued qudits. This model is specified by a finite group $G$ and enjoys a projective $\mathsf{Rep}(G)\times Z(G)$ and translation symmetry, where symmetry operators obey a projective algebra in the presence of symmetry defects. For invertible symmetries, such projective algebras imply Lieb-Schultz-Mattis (LSM) anomalies. However, this is not generally true for non-invertible symmetries, and we derive a condition on $G$ for the existence of an LSM anomaly. When this condition is not met, we prove an SPT-LSM theorem: any unique and gapped ground state is necessarily a non-invertible weak symmetry protected topological (SPT) state with non-trivial entanglement, for which we construct an example fixed-point Hamiltonian. The projectivity also affects the dual symmetries after gauging $\mathsf{Rep}(G)\times Z(G)$ sub-symmetries, giving rise to non-Abelian and non-invertible dipole symmetries, as well as non-invertible translations. We complement our analysis with the SymTFT, where the projectivity causes it to be a topological order non-trivially enriched by translations. Throughout the paper, we develop techniques for gauging $\mathsf{Rep}(G)$ symmetry and inserting its symmetry defects on the lattice, which are applicable to other non-invertible symmetries., Comment: 64 pages, 2 figures, and featuring SmallGroup(32,49). v2: minor changes and added references
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- 2024
3. RESAA: A Removal and Structural Analysis Attack Against Compound Logic Locking
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Almeida, Felipe, Aksoy, Levent, and Pagliarini, Samuel
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Computer Science - Cryptography and Security - Abstract
The semiconductor industry's paradigm shift towards fabless integrated circuit (IC) manufacturing has introduced security threats, including piracy, counterfeiting, hardware Trojans, and overproduction. In response to these challenges, various countermeasures, including Logic locking (LL), have been proposed to protect designs and mitigate security risks. LL is likely the most researched form of intellectual property (IP) protection for ICs. A significant advance has been made with the introduction of compound logic locking (CLL), where two LL techniques are concurrently utilized for improved resiliency against attacks. However, the vulnerabilities of LL techniques, particularly CLL, need to be explored further. This paper presents a novel framework, RESAA, designed to classify CLL-locked designs, identify critical gates, and execute various attacks to uncover secret keys. RESAA is agnostic to specific LL techniques, offering comprehensive insights into CLL's security scenarios. Experimental results demonstrate RESAA's efficacy in identifying critical gates, distinguishing segments corresponding to different LL techniques, and determining associated keys based on different threat models. In particular, for the oracle-less threat model, RESAA can achieve up to 92.6% accuracy on a relatively complex ITC'99 benchmark circuit. The results reported in this paper emphasize the significance of evaluation and thoughtful selection of LL techniques, as all studied CLL variants demonstrated vulnerability to our framework. RESAA is also open-sourced for the community at large., Comment: 12 pages, IEEE Transaction format
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- 2024
4. Intrinsic Single-Image HDR Reconstruction
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Dille, Sebastian, Careaga, Chris, and Aksoy, Yağız
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Graphics ,Electrical Engineering and Systems Science - Image and Video Processing - Abstract
The low dynamic range (LDR) of common cameras fails to capture the rich contrast in natural scenes, resulting in loss of color and details in saturated pixels. Reconstructing the high dynamic range (HDR) of luminance present in the scene from single LDR photographs is an important task with many applications in computational photography and realistic display of images. The HDR reconstruction task aims to infer the lost details using the context present in the scene, requiring neural networks to understand high-level geometric and illumination cues. This makes it challenging for data-driven algorithms to generate accurate and high-resolution results. In this work, we introduce a physically-inspired remodeling of the HDR reconstruction problem in the intrinsic domain. The intrinsic model allows us to train separate networks to extend the dynamic range in the shading domain and to recover lost color details in the albedo domain. We show that dividing the problem into two simpler sub-tasks improves performance in a wide variety of photographs., Comment: Accepted for ECCV 2024
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- 2024
5. Colorful Diffuse Intrinsic Image Decomposition in the Wild
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Careaga, Chris and Aksoy, Yağız
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Intrinsic image decomposition aims to separate the surface reflectance and the effects from the illumination given a single photograph. Due to the complexity of the problem, most prior works assume a single-color illumination and a Lambertian world, which limits their use in illumination-aware image editing applications. In this work, we separate an input image into its diffuse albedo, colorful diffuse shading, and specular residual components. We arrive at our result by gradually removing first the single-color illumination and then the Lambertian-world assumptions. We show that by dividing the problem into easier sub-problems, in-the-wild colorful diffuse shading estimation can be achieved despite the limited ground-truth datasets. Our extended intrinsic model enables illumination-aware analysis of photographs and can be used for image editing applications such as specularity removal and per-pixel white balancing., Comment: 12 pages, 12 figures. Accepted to SIGGRAPH Asia 2024 (TOG). Webpage: https://yaksoy.github.io/ColorfulShading
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- 2024
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6. A Bottom-Up Approach to Class-Agnostic Image Segmentation
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Dille, Sebastian, Blondal, Ari, Paris, Sylvain, and Aksoy, Yağız
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Class-agnostic image segmentation is a crucial component in automating image editing workflows, especially in contexts where object selection traditionally involves interactive tools. Existing methods in the literature often adhere to top-down formulations, following the paradigm of class-based approaches, where object detection precedes per-object segmentation. In this work, we present a novel bottom-up formulation for addressing the class-agnostic segmentation problem. We supervise our network directly on the projective sphere of its feature space, employing losses inspired by metric learning literature as well as losses defined in a novel segmentation-space representation. The segmentation results are obtained through a straightforward mean-shift clustering of the estimated features. Our bottom-up formulation exhibits exceptional generalization capability, even when trained on datasets designed for class-based segmentation. We further showcase the effectiveness of our generic approach by addressing the challenging task of cell and nucleus segmentation. We believe that our bottom-up formulation will offer valuable insights into diverse segmentation challenges in the literature.
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- 2024
7. A Bibliometric Analysis of Trust in Conversational Agents over the Past Fifteen Years
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Aksoy, Meltem and Bush, Annika
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Computer Science - Human-Computer Interaction - Abstract
Conversational agents (CA) have become increasingly prevalent in various domains, driving significant interest in understanding the dynamics of trust in CA. This study addresses the need for a comprehensive analysis of research trends in this field, especially given the rapid advancements and growing use of CA technologies like ChatGPT. Through bibliometric analysis, we aim to identify key keywords, disciplines, research clusters, and international collaborations related to CA and trust. We analyzed 955 studies published between 2009 and 2024, all sourced from the Scopus database. Additionally, we conducted a text clustering analysis to identify the main themes in the publications and understand their distribution. Our findings highlight the increasing interest in CA, particularly with the introduction of ChatGPT. The USA leads in research output, followed by Germany, China, and the UK. Furthermore, there is a notable rise in interdisciplinary research, especially in the fields of human-computer interaction and artificial intelligence.
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- 2024
8. Using the Baire Category Theorem to Explore Lions Problem for Quasi-Banach Spaces
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Aksoy, A. G. and Almira, J. M.
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Mathematics - Functional Analysis ,Mathematics - Classical Analysis and ODEs - Abstract
Many results for Banach spaces also hold for quasi-Banach spaces. One important such example is results depending on the Baire Category Theorem (BCT). We use the BCT to explore Lions problem for a quasi-Banach couple $(A_0, A_1)$. Lions problem, posed in 1960's, is to prove that different parameters $(\theta,p)$ produce different interpolation spaces $(A_0, A_1)_{\theta, p}$. We first establish conditions on $A_0$ and $A_1$ so that interpolation spaces of this couple are strictly intermediate spaces between $A_0+A_1$ and $A_0\cap A_1$. This result, together with a reiteration theorem, gives a partial solution to Lions problem for quasi-Banach couples. We then apply our interpolation result to (partially) answer a question posed by Pietsch. More precisely, we show that if $p\neq p^*$ the operator ideals $\mathcal{L}^{(a)}_{p,q}(X,Y)$, $\mathcal{L}^{(a)}_{p^*,q^*}(X,Y)$ generated by approximation numbers are distinct. Moreover, for any fixed $p$, either all operator ideals $\mathcal{L}^{(a)}_{p,q}(X,Y)$ collapse into a unique space or they are pairwise distinct. We cite counterexamples which show that using interpolation spaces is not appropriate to solve Pietsch's problem for operator ideals based on general $s$-numbers. However, the BCT can be used to prove a lethargy result for arbitrary $s$-numbers which guarantees that, under very minimal conditions on $X,Y$, the space $\mathcal{L}^{(s)}_{p,q}(X,Y)$ is strictly embedded into $\mathcal{L}^{\mathcal{A}}(X,Y)$. The paper is dedicated to the memory of Prof. A. Pietsch, who passed away recently.
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- 2024
9. Interpolation of point configurations in the discrete plane
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Aksoy, Esen, Iosevich, Alex, and McDonald, Brian
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Mathematics - Combinatorics ,Mathematics - Classical Analysis and ODEs - Abstract
Defining distances over finite fields formally by $||x-y||:=(x_1-y_1)^2+\cdots + (x_d-y_d)^2$ for $x,y\in \mathbb{F}_q^d$, distance problems naturally arise in analogy to those studied by Erd\H{o}s and Falconer in Euclidean space. Given a graph $G$ and a set $E\subseteq \mathbb{F}_q^2$, let $\Delta_G(E)$ be the generalized distance set corresponding to $G$. In the case when $G$ is the complete graph on $k+1$ vertices, Bennett, Hart, Iosevich, Pakianathan, and Rudnev showed that when $|E|\geq q^{d-\frac{d-1}{k+1}}$, it follows that $|\Delta_G(E)|\geq cq^{\binom{k+1}{2}}$. In the case when $k=d=2$, the threshold can be improved to $|E|\geq q^{\frac{8}{5}}$. Moreover, Jardine, Iosevich, and McDonald showed that in the case when $G$ is a tree with $k+1$ vertices, then whenever $E\subseteq \mathbb{F}_q^d$, $d\geq 2$ satisfies $|E|\geq C_kq^{\frac{d+1}{2}}$, it follows that $\Delta_G(E)=\mathbb{F}_q^k$. In this paper, we present a technique which enables us to study certain graphs with both rigid and non-rigid components. In particular, we show that for $E\subseteq \mathbb{F}_q^2$, $q=p^n$, $n$ odd, $p\equiv 3 \ \text{mod} \ 4$, and $G$ is the graph consisting of two triangles joined at a vertex, then whenever $|E|\geq q^{\frac{12}{7}}$, it follows that $|\Delta_G(E)|\geq cq^6$., Comment: 14 pages, 3 figures
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- 2024
10. Evidence-Based Social-Emotional Learning Intervention Programs for Preschool Children: An Important Key to Development and Learning
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Pinar Aksoy and Frank M. Gresham
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The preschool years, spanning from birth to age six, are crucial periods for acquiring social-emotional learning (SEL) skills. An effective way to address social-emotional learning deficits is to implement evidence-based intervention programs. The purpose of this article is to review specific evidencebased social-emotional learning intervention programs for preschool children, drawing from resources such as books, peer-reviewed journal articles, and conference proceedings. In this context, five social-emotional learning intervention programs, including First Step to Success, I Can Problem Solve, Incredible Years, PATHS, and Strong Start Pre-K, documented in the social-emotional learning literature, were reviewed. Each program was evaluated based on its target group, duration, focus, delivery method, and experimental effects. The reviews found that play-based activities, puppets and stories, role-playing, and family involvement were common components of these programs. The majority of programs focused on problem-solving skills, and all had positive effects on preschoolers' social-emotional learning skills. Based on the reviews, it was underlined that social-emotional learning intervention programs are effective when their content, process, and delivery methods are developmentally appropriate for the target group. Accordingly, it was seen that the widespread implementation of evidence-based social-emotional learning intervention programs is essential to improve the basic social-emotional learning skills of preschool children and to address their potential deficits. Continuous evaluation and refinement of social-emotional learning intervention programs, guided by feedback from educators, parents, and researchers, was also highlighted as crucial to increase their impact. By prioritizing the implementation of evidence-based social-emotional learning intervention programs with appropriate components and delivery methods, the stakeholders of education can facilitate the holistic development of preschool children and lay a strong foundation for their future social-emotional well-being.
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- 2024
11. Using Technology in Science Education: A Bibliometric Analysis
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Ayse Ceren Atmaca-Aksoy
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The aim of this study is to reveal the bibliometric profile of articles published in the field of science education and technology. In the study, in which descriptive research model was used, bibliometric analysis method was preferred in order to reveal and examine the research trends of scientific publications on science education and technology. In the study, Web of Science Core Collection was preferred as the database and VOSviewer program was preferred as the bibliometric network analysis program. In the Web of Science Core Collection database, 2485 articles were accessed after searching with the keywords "science educat*" and "technology*". As a result of the research, it was determined that the first article in the relevant subject area was published in 1980 and the most articles were published in 2022. The country with the highest number of publications in the related field is the USA. The researcher who published the most in the related field is Franz Xaver Bogner. The most publications were published in the Journal of Science Education. Most frequently used keyword in the related articles is science education. The study is important in terms of revealing the research trend of science education and technology articles.
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- 2024
12. Fostering Students' Definitions and Images in Parallelism and Perpendicularity: A Paper Folding Activity
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Emine Catman-Aksoy and Mine Isiksal-Bostan
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This study investigated the effect of a paper folding activity prepared to develop the sixth-grade students' concept definitions and images of parallelism and perpendicularity concepts. The study also examined how the concept definition and images changed after the paper folding activity. A combination of quantitative and qualitative methods was used. A one-group pre-/posttest design revealed that the paper folding activity had a significant positive effect on students' concept definitions and images. In addition, the interviews after pre- and post-tests indicated that the students' personal concept definitions of parallelism and perpendicularity of two lines/line segments began to match the formal concept definitions of these concepts after the paper folding activity. Lastly, missing and mis-in concept image situations, encountered generally in the pre-test, were observed less after the paper folding activity.
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- 2024
13. Navigating Academia: Designing and Evaluating a Multidimensional Recommendation System for University and Major Selection
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Sibel Somyürek and Nevcan Aksoy
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Selecting the right academic major significantly shapes an individual's future career path, making it a longstanding focus of research. The shift to online platforms, accelerated by the challenges posed by the coronavirus pandemic, has transformed counseling and guidance systems. Consequently, developing robust online support systems has become imperative for extending guidance to all students. This article introduces the design, development, and evaluation of "My Future Career," a multidimensional recommendation system (RS) crafted to aid students in navigating university and academic major selection decisions. The system relies on three key student-driven parameters: central university entrance exam scores, rankings, and occupational personality types, utilizing cosine similarity and normalized distance to align user and item profiles. Following the system's completion, an assessment was conducted using data from real users, revealing an impressive accuracy (hit rate 100%, precision 88%) in recommendations following the inclusion of contextual post-filtering features. The findings not only highlight the system's effectiveness but also underscore the positive user experience, as students express contentment with its ease of use and practical utility. The results emphasize the endorsement of expert's regarding the system's consistency (52%), relevance (96%), and acceptance (96%) in providing recommendations.
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- 2024
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14. Diagnostic and Prognostic Value of SCUBE-1 in COVID-19 Patients
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Ozer, Vildan, Gonenc Cekic, Ozgen, Bulbul, Ozlem, Aydın, Davut, Bulut, Eser, Aksoy, Firdevs, Pehlivanlar Kucuk, Mehtap, Karahan, Suleyman Caner, Sozen, Ebru Emel, Ozkaya, Esra, Kosucu, Polat, Karaca, Yunus, and Turedi, Suleyman
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Emergency Departments ,COVID 19 ,SCUBE-1 ,Diagnosis ,Hospitalization ,patient discharge - Abstract
Introduction: The workload of physicians increased due to the number of patients presenting with suspicion of coronavirus 2019 (COVID-19) and the prolonged wait times in the emergency department during the COVID-19 pandemic. Signal peptide-CUB-EGF domain-containing protein 1 (SCUBE-1) is a protein present in platelets and endothelial cells; it is activated by inflammation from COVID-19 and may be associated with COVID-19’s known thrombotic risk. We aimed to determine whether SCUBE-1 levels are diagnostically correlated in suspected COVID-19 patients, and whether SCUBE-1 correlated with severity of disease and, therefore, might be useful to guide hospitalization/discharge decisions.Methods: The suspected COVID-19 patients cared for at tertiary healthcare institutions for one year between May 2021–May 2022 were examined in this study. The subjects were both suspected COVID-19 patients not ultimately found to have COVID-19 and those who were diagnosed with COVID-19. By modifying the disease severity scoring systems present in COVID-19 guidelines in 2021, the COVID-19-positive patient group was classified as mild, moderate, severe, and critical, and compared using the SCUBE-1 levels. Moreover, SCUBE-1 levels were compared between the COVID-19 positive group and the COVID-19 negative group.Results: A total of 507 patients were considered for the present study. After excluding 175 patients for incomplete data and alternate comorbid organ failure. we report on 332 patients (65.5%). Of these 332 patients, 80 (24.0%) were COVID-19 negative, and 252 (76.0%) were COVID-19 positive. Of 252 (100%) patients diagnosed with COVID-19, 74 (29.4%) were classified as mild, 95 (37.7%) moderate, 45 (17.8%) severe, and 38 (15.1%) critical. The SCUBE-1 levels were statistically different between COVID-19 positive (8.48 ± 7.42 nanograms per milliliter [ng/mL]) and COVID-19 negative (1.86 ± 0.92 ng/mL) patients (P < 0.001). In the COVID-19 positive group, SCUBE-1 levels increased with disease severity (mild = 3.20 ± 1.65 ng/mL, moderate = 4.78 ± 2.26 ng/mL, severe = 13.68 ± 3.95 ng/mL, and critical = 21.87 ± 5.39 ng/mL) (P < 0.001). The initial SCUBE-1 levels of discharged patients were significantly lower than those requiring hospitalization (discharged = 2.89 ng/mL [0.55–8.60 ng/mL]; ward admitted = 7.13 ng/mL [1.38–21.29 ng/mL], and ICU admitted = 21.19 ng/mL [10.58–37.86 ng/mL]) (P < 0.001).Conclusion: The SCUBE-1 levels were found to be differentiated between patients with and without COVID-19 and to be correlated with the severity of illness.
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- 2024
15. Interim report for the International Muon Collider Collaboration (IMCC)
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Accettura, C., Adrian, S., Agarwal, R., Ahdida, C., Aimé, C., Aksoy, A., Alberghi, G. L., Alden, S., Amapane, N., Amorim, D., Andreetto, P., Anulli, F., Appleby, R., Apresyan, A., Asadi, P., Mahmoud, M. Attia, Auchmann, B., Back, J., Badea, A., Bae, K. J., Bahng, E. J., Balconi, L., Balli, F., Bandiera, L., Barbagallo, C., Barlow, R., Bartoli, C., Bartosik, N., Barzi, E., Batsch, F., Bauce, M., Begel, M., Berg, J. S., Bersani, A., Bertarelli, A., Bertinelli, F., Bertolin, A., Bhat, P., Bianchi, C., Bianco, M., Bishop, W., Black, K., Boattini, F., Bogacz, A., Bonesini, M., Bordini, B., de Sousa, P. Borges, Bottaro, S., Bottura, L., Boyd, S., Breschi, M., Broggi, F., Brunoldi, M., Buffat, X., Buonincontri, L., Burrows, P. N., Burt, G. C., Buttazzo, D., Caiffi, B., Calatroni, S., Calviani, M., Calzaferri, S., Calzolari, D., Cantone, C., Capdevilla, R., Carli, C., Carrelli, C., Casaburo, F., Casarsa, M., Castelli, L., Catanesi, M. G., Cavallucci, L., Cavoto, G., Celiberto, F. G., Celona, L., Cemmi, A., Ceravolo, S., Cerri, A., Cerutti, F., Cesarini, G., Cesarotti, C., Chancé, A., Charitonidis, N., Chiesa, M., Chiggiato, P., Ciccarella, V. L., Puviani, P. Cioli, Colaleo, A., Colao, F., Collamati, F., Costa, M., Craig, N., Curtin, D., D'Angelo, L., Da Molin, G., Damerau, H., Dasu, S., de Blas, J., De Curtis, S., De Gersem, H., Del Moro, T., Delahaye, J. -P., Denisov, D., Denizli, H., Dermisek, R., Valdor, P. Desiré, Desponds, C., Di Luzio, L., Di Meco, E., Di Petrillo, K. F., Di Sarcina, I., Diociaiuti, E., Dorigo, T., Dreimanis, K., Pree, T. du, Edgecock, T., Fabbri, S., Fabbrichesi, M., Farinon, S., Ferrand, G., Somoza, J. A. Ferreira, Fieg, M., Filthaut, F., Fox, P., Franceschini, R., Ximenes, R. Franqueira, Gallinaro, M., Garcia-Sciveres, M., Garcia-Tabares, L., Gargiulo, R., Garion, C., Garzelli, M. V., Gast, M., Gerber, C. E., Giambastiani, L., Gianelle, A., Gianfelice-Wendt, E., Gibson, S., Gilardoni, S., Giove, D. A., Giovinco, V., Giraldin, C., Glioti, A., Gorzawski, A., Greco, M., Grojean, C., Grudiev, A., Gschwendtner, E., Gueli, E., Guilhaudin, N., Han, C., Han, T., Hauptman, J. M., Herndon, M., Hillier, A. D., Hillman, M., Holmes, T. R., Homiller, S., Jana, S., Jindariani, S., Johannesson, S., Johnson, B., Jones, O. R., Jurj, P. -B., Kahn, Y., Kamath, R., Kario, A., Karpov, I., Kelliher, D., Kilian, W., Kitano, R., Kling, F., Kolehmainen, A., Kong, K. C., Kosse, J., Krintiras, G., Krizka, K., Kumar, N., Kvikne, E., Kyle, R., Laface, E., Lane, K., Latina, A., Lechner, A., Lee, J., Lee, L., Lee, S. W., Lefevre, T., Leonardi, E., Lerner, G., Li, P., Li, Q., Li, T., Li, W., Voti, R. Li, Lindroos, M., Lipton, R., Liu, D., Liu, M., Liu, Z., Lombardi, A., Lomte, S., Long, K., Longo, L., Lorenzo, J., Losito, R., Low, I., Lu, X., Lucchesi, D., Luo, T., Lupato, A., Métral, E., Mękała, K., Ma, Y., Mańczak, J. M., Machida, S., Madlener, T., Magaletti, L., Maggi, M., Durand, H. Mainaud, Maltoni, F., Mandurrino, M., Marchand, C., Mariani, F., Marin, S., Mariotto, S., Martin-Haugh, S., Masullo, M. R., Mauro, G. S., Mazzolari, A., Mele, B., Meloni, F., Meng, X., Mentink, M., Miceli, R., Milas, N., Mohammadi, A., Moll, D., Montella, A., Morandin, M., Morrone, M., Mulder, T., Musenich, R., Nardecchia, M., Nardi, F., Neuffer, D., Newbold, D., Novelli, D., Olvegård, M., Onel, Y., Orestano, D., Osborne, J., Otten, S., Torres, Y. M. Oviedo, Paesani, D., Griso, S. Pagan, Pagani, D., Pal, K., Palmer, M., Pampaloni, A., Panci, P., Pani, P., Papaphilippou, Y., Paparella, R., Paradisi, P., Passeri, A., Pastrone, N., Pellecchia, A., Piccinini, F., Piekarz, H., Pieloni, T., Plouin, J., Portone, A., Potamianos, K., Potdevin, J., Prestemon, S., Puig, T., Qiang, J., Quettier, L., Rabemananjara, T. R., Radicioni, E., Radogna, R., Rago, I. C., Ratkus, A., Resseguie, E., Reuter, J., Ribani, P. L., Riccardi, C., Ricciardi, S., Robens, T., Robert, Y., Roger, C., Rojo, J., Romagnoni, M., Ronald, K., Rosser, B., Rossi, C., Rossi, L., Rozanov, L., Ruhdorfer, M., Ruiz, R., Queiroz, F. S., Saini, S., Sala, F., Salierno, C., Salmi, T., Salvini, P., Salvioni, E., Sammut, N., Santini, C., Saputi, A., Sarra, I., Scarantino, G., Schneider-Muntau, H., Schulte, D., Scifo, J., Sen, T., Senatore, C., Senol, A., Sertore, D., Sestini, L., Rêgo, R. C. Silva, Simone, F. M., Skoufaris, K., Sorbello, G., Sorbi, M., Sorti, S., Soubirou, L., Spataro, D., Stamerra, A., Stapnes, S., Stark, G., Statera, M., Stechauner, B. M., Su, S., Su, W., Sun, X., Sytov, A., Tang, J., Taylor, R., Kate, H. Ten, Testoni, P., Thiele, L. S., Garcia, R. Tomas, Mugglestone, M. Topp, Torims, T., Torre, R., Tortora, L. T., Trifinopoulos, S., Udongwo, S. -A., Vai, I., Valente, R. U., van Rienen, U., van Weelderen, R., Vanwelde, M., Velev, G., Venditti, R., Vendrasco, A., Verna, A., Verweij, A., Verwilligen, P., Villamzar, Y., Vittorio, L., Vitulo, P., Vojskovic, I., Wang, D., Wang, L. -T., Wang, X., Wendt, M., Widorski, M., Wozniak, M., Wu, Y., Wulzer, A., Xie, K., Yang, Y., Yap, Y. C., Yonehara, K., Yoo, H. D., You, Z., Zanetti, M., Zaza, A., Zhang, L., Zhu, R., Zlobin, A., Zuliani, D., and Zurita, J. F.
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Physics - Accelerator Physics ,High Energy Physics - Experiment - Abstract
The International Muon Collider Collaboration (IMCC) [1] was established in 2020 following the recommendations of the European Strategy for Particle Physics (ESPP) and the implementation of the European Strategy for Particle Physics-Accelerator R&D Roadmap by the Laboratory Directors Group [2], hereinafter referred to as the the European LDG roadmap. The Muon Collider Study (MuC) covers the accelerator complex, detectors and physics for a future muon collider. In 2023, European Commission support was obtained for a design study of a muon collider (MuCol) [3]. This project started on 1st March 2023, with work-packages aligned with the overall muon collider studies. In preparation of and during the 2021-22 U.S. Snowmass process, the muon collider project parameters, technical studies and physics performance studies were performed and presented in great detail. Recently, the P5 panel [4] in the U.S. recommended a muon collider R&D, proposed to join the IMCC and envisages that the U.S. should prepare to host a muon collider, calling this their "muon shot". In the past, the U.S. Muon Accelerator Programme (MAP) [5] has been instrumental in studies of concepts and technologies for a muon collider., Comment: This document summarises the International Muon Collider Collaboration (IMCC) progress and status of the Muon Collider R&D programme
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- 2024
16. Gauging modulated symmetries: Kramers-Wannier dualities and non-invertible reflections
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Pace, Salvatore D., Delfino, Guilherme, Lam, Ho Tat, and Aksoy, Ömer M.
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Condensed Matter - Strongly Correlated Electrons ,High Energy Physics - Theory ,Mathematical Physics ,Quantum Physics - Abstract
Modulated symmetries are internal symmetries that act in a non-uniform, spatially modulated way and are generalizations of, for example, dipole symmetries. In this paper, we systematically study the gauging of finite Abelian modulated symmetries in ${1+1}$ dimensions. Working with local Hamiltonians of spin chains, we explore the dual symmetries after gauging and their potential new spatial modulations. We establish sufficient conditions for the existence of an isomorphism between the modulated symmetries and their dual, naturally implemented by lattice reflections. For instance, in systems of prime qudits, translation invariance guarantees this isomorphism. For non-prime qudits, we show using techniques from ring theory that this isomorphism can also exist, although it is not guaranteed by lattice translation symmetry alone. From this isomorphism, we identify new Kramers-Wannier dualities and construct related non-invertible reflection symmetry operators using sequential quantum circuits. Notably, this non-invertible reflection symmetry exists even when the system lacks ordinary reflection symmetry. Throughout the paper, we illustrate these results using various simple toy models., Comment: 71 pages. v2: minor changes + added references
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- 2024
17. Scale-Invariant Monocular Depth Estimation via SSI Depth
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Miangoleh, S. Mahdi H., Reddy, Mahesh, and Aksoy, Yağız
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Computer Science - Computer Vision and Pattern Recognition ,I.4.5 - Abstract
Existing methods for scale-invariant monocular depth estimation (SI MDE) often struggle due to the complexity of the task, and limited and non-diverse datasets, hindering generalizability in real-world scenarios. This is while shift-and-scale-invariant (SSI) depth estimation, simplifying the task and enabling training with abundant stereo datasets achieves high performance. We present a novel approach that leverages SSI inputs to enhance SI depth estimation, streamlining the network's role and facilitating in-the-wild generalization for SI depth estimation while only using a synthetic dataset for training. Emphasizing the generation of high-resolution details, we introduce a novel sparse ordinal loss that substantially improves detail generation in SSI MDE, addressing critical limitations in existing approaches. Through in-the-wild qualitative examples and zero-shot evaluation we substantiate the practical utility of our approach in computational photography applications, showcasing its ability to generate highly detailed SI depth maps and achieve generalization in diverse scenarios., Comment: To appear in Proc. SIGGRAPH, 2024. Project webpage: https://yaksoy.github.io/sidepth/
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- 2024
- Full Text
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18. Site-Specific Radio Channel Representation for 5G and 6G
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Zemen, Thomas, Gomez-Ponce, Jorge, Chandra, Aniruddha, Walter, Michael, Aksoy, Enes, He, Ruisi, Matolak, David, Kim, Minseok, Takada, Jun-ichi, Salous, Sana, Valenzuela, Reinaldo, and Molisch, Andreas F.
- Subjects
Electrical Engineering and Systems Science - Signal Processing - Abstract
A site-specific radio channel representation (SSCR) takes the surroundings of the communication system into account by considering the environment geometry, including buildings, vegetation, and mobile objects with their material and surface properties. We present methods for an SSCR that is spatially consistent, such that mobile transmitter and receiver cause a correlated time-varying channel impulse response and closely spaced antennas are correctly correlated. An SSCR is composed of a dynamically varying number of multipath components solely defined by the environment geometry and the material of the environmental objects. Hence, the environment geometry is the only natural scenario parameterization and specific calibration procedures shall be avoided. 5G and 6G physical layer technologies are increasingly able to exploit the properties of a wide range of environments from dense urban areas to railways, road transportation, industrial automation, and unmanned aerial vehicles. The channel impulse response in this wide range of scenarios has generally non-stationary statistical properties, i.e., the Doppler spectrum, power delay profile, K-factor and spatial correlation are all spatially variant (or time-variant for mobile receivers). SSCRs will enable research and development of emerging 5G and 6G technologies such as distributed multiple-input multiple-output systems, reconfigurable intelligent surfaces, multi-band communication, and joint communication and sensing. We highlight the state of the art and summarize research directions for future work towards an SSCR., Comment: 9 pages, 6 figures, to appear in IEEE Communication Magazine
- Published
- 2024
19. Quantum Phases and Transitions in Spin Chains with Non-Invertible Symmetries
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Chatterjee, Arkya, Aksoy, Ömer M., and Wen, Xiao-Gang
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Condensed Matter - Strongly Correlated Electrons ,High Energy Physics - Theory - Abstract
Generalized symmetries often appear in the form of emergent symmetries in low energy effective descriptions of quantum many-body systems. Non-invertible symmetries are a particularly exotic class of generalized symmetries, in that they are implemented by transformations that do not form a group. Such symmetries appear in large families of gapless states of quantum matter and constrain their low-energy dynamics. To provide a UV-complete description of such symmetries, it is useful to construct lattice models that respect these symmetries exactly. In this paper, we discuss two families of one-dimensional lattice Hamiltonians with finite on-site Hilbert spaces: one with (invertible) $S^{\,}_3$ symmetry and the other with non-invertible $\mathsf{Rep}(S^{\,}_3)$ symmetry. Our models are largely analytically tractable and demonstrate all possible spontaneous symmetry breaking patterns of these symmetries. Moreover, we use numerical techniques to study the nature of continuous phase transitions between the different symmetry-breaking gapped phases associated with both symmetries. Both models have self-dual lines, where the models are enriched by so-called intrinsically non-invertible symmetries generated by Kramers-Wannier-like duality transformations. We provide explicit lattice operators that generate these non-invertible self-duality symmetries. We show that the enhanced symmetry at the self-dual lines is described by a 2+1D symmetry-topological-order (SymTO) of type $\mathrm{JK}^{\,}_4\boxtimes \overline{\mathrm{JK}}^{\,}_4$. The condensable algebras of the SymTO determine the allowed gapped and gapless states of the self-dual $S^{\,}_3$-symmetric and $\mathsf{Rep}(S^{\,}_3)$-symmetric models., Comment: 49 pages + 42 pages appendix, 17 figures -- minor corrections
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- 2024
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20. Experimental investigation of the effect of vegetation on dam break flood waves
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Oguzhan Semire and Aksoy Aysegul Ozgenc
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dam break ,flood wave ,physical model ,urkmez dam ,vegetation effect ,Hydraulic engineering ,TC1-978 - Abstract
Dams have an important role in the industrial development of countries. Irrespective of the reason for dam break, the flood can cause devastating disasters with loss of life and property especially in densely populated areas. In this study, the effects of the vegetation on the flood wave propagation in case of dam break were investigated experimentally by using the distorted physical model of Ürkmez Dam. The horizontal and vertical scales of the distorted physical model are 1/150 and 1/30, respectively. The dam break scenarios were achieved by means of a gate of rectangular and triangular shape. The results obtained from experiments performed with vegetation were compared and interpreted with those obtained from experiments at which the vegetation configuration was absent. The analysis of the experimental data showed that the presence of vegetation causes a significant decrease in water depths as the flood wave propagates to the downstream and greatly reduces its impact on the settlements. It is also revealed that dam break shape plays an important role in temporal variation of flood wave.
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- 2020
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21. The Power of the Communicative Approach: An Investigation of Classroom Practices of English Teachers Working in Vocational High Schools
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Süleyman Karatas, Baris Aksoy, Orhan Göçer, Emine At, Saliha Çiftçi, and Mustafa Caner
- Abstract
This research examines classroom methodologies aligned with the communicative approach, gauging the perspectives of English teachers working within vocational high schools (VHSs). The study, employing a qualitative case study research design, engaged 10 teachers from diverse backgrounds. The participants volunteered for the study and were selected through a maximum diversity sampling technique, a purposeful sampling method. The research methodology encompassed data collection through interviews, observations, and document analysis. Content analysis was applied to scrutinize interview data, whereas observational and document-based findings were subjected to descriptive analysis techniques. The study revealed a prevalent utilization of teacher-controlled activities and a predominant teacher-centric classroom layout among teachers. Notably, a considerable proportion of in-class time was allocated to grammar instruction, whereas comparatively lesser emphasis was placed on fostering reading, speaking, writing, and listening skills. Moreover, it was found that multiple-choice tests and alternative assessment formats such as performance evaluations and projects were exclusively employed; using other alternative assessment approaches like observations, interviews, learning diaries, and portfolios was rare. It is also found that English instruction in VHSs heavily relies on textbooks, supplemented by the occasional integration of audiovisual materials. Overall, teachers expressed a consensus that there exists a need for enhancement in curricular frameworks, teaching aids, as well as assessment and evaluation tools within the English instruction domain.
- Published
- 2024
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22. Timing of Noncardiac Surgery Following Transcatheter Aortic Valve Replacement A National Analysis
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Ebrahimian, Shayan, Chervu, Nikhil, Balian, Jeffrey, Mallick, Saad, Yang, Eric H, Ziaeian, Boback, Aksoy, Olcay, and Benharash, Peyman
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Biomedical and Clinical Sciences ,Clinical Sciences ,Transplantation ,Cardiovascular ,Nationwide Readmissions Database ,aortic stenosis ,noncardiac surgery ,transcatheter aortic valve replacement ,Cardiorespiratory Medicine and Haematology ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology - Abstract
BackgroundThe optimal timing of noncardiac surgery (NCS) following transcatheter aortic valve replacement (TAVR) for aortic stenosis has not been elucidated by current national guidelines.ObjectivesThe aim of this study was to evaluate the effect of the time interval between TAVR and NCS (Δt) on the perioperative risk of major adverse events (MAEs).MethodsAll adult admissions for isolated TAVR for aortic stenosis were identified in the 2016 to 2020 Nationwide Readmissions Database. Patients who received NCS on subsequent admission were included for analysis and grouped by Δt as follows: ≤30, 31 to 60, 61 to 90, and >90 days. Multivariable regression models were constructed to examine the association of Δt with ensuing outcomes.ResultsOf 3,098 patients (median age = 79 years, 41.6% female), 19.1% underwent NCS at ≤30 days, 22.9% at 31 to 60 days, 16.7% at 61 to 90 days, and 41.3% at >90 days. After adjustment, the odds of MAEs were similar for operations performed at ≤30 days (adjusted OR [AOR]: 1.05; 95% confidence interval [CI]: 0.74-1.50), 31 to 60 days (AOR: 0.97; 95% CI: 0.71-1.31), and 61 to 90 days (AOR: 0.95; 95% CI: 0.67-1.34), with those at >90 days as reference. When examining the average marginal effect of the interval to surgery, risk-adjusted MAE rates were statistically similar across Δt groups for elective status and NCS risk category combinations.ConclusionsNCS within 30, 31 to 60, or 61 to 90 days after TAVR was not associated with increased odds of MAEs compared with operations after 90 days irrespective of NCS risk category or elective status. Our findings suggest that the interval between NCS and TAVR may not be an accurate predictor of MAE risk in this population.
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- 2024
23. Interacting Crystalline Topological Insulators in two-dimensions with Time-Reversal Symmetry
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Soldini, Martina O., Aksoy, Ömer M., and Neupert, Titus
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Condensed Matter - Strongly Correlated Electrons ,Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
Topology is routinely used to understand the physics of electronic insulators. However, for strongly interacting electronic matter, such as Mott insulators, a comprehensive topological characterization is still lacking. When their ground state only contains short-range entanglement and does not break symmetries spontaneously, they generically realize crystalline fermionic symmetry-protected topological phases (cFSPTs), supporting gapless modes at the boundaries or at the lattice defects. Here, we provide an exhaustive classification of cFSPTs in two dimensions with $\mathrm{U}(1)$ charge-conservation and spinful time-reversal symmetries, namely, those generically present in spin-orbit coupled insulators, for any of the 17 wallpaper groups. It has been shown that the classification of cFSPTs can be understood from appropriate real-space decorations of lower-dimensional subspaces, and we expose how these relate to the Wyckoff positions of the lattice. We find that all nontrivial one-dimensional decorations require electronic interactions. Furthermore, we provide model Hamiltonians for various decorations, and discuss the signatures of cFSPTs. This classification paves the way to further explore topological interacting insulators, providing the backbone information in generic model systems and ultimately in experiments.
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- 2024
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24. A Machine Learning Framework for the Prediction of Grain Boundary Segregation in Chemically Complex Environments
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Aksoy, Doruk, Luo, Jian, Cao, Penghui, and Rupert, Timothy J.
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Condensed Matter - Materials Science - Abstract
The discovery of complex concentrated alloys has unveiled materials with diverse atomic environments, prompting the exploration of solute segregation beyond dilute alloys. Data-driven methods offer promising for modeling segregation in such chemically complex environments, and are employed in this study to understand segregation behavior of a refractory complex concentrated alloy, NbMoTaW. A flexible methodology is developed that uses composable computational modules, with different arrangements of these modules employed to obtain site availabilities at absolute zero and the corresponding density of states beyond the dilute limit, resulting in an extremely large dataset containing 10 million data points. The artificial neural network developed here can rely solely on descriptions of local atomic environments to predict behavior at the dilute limit with very small errors, while the addition of negative segregation instance classification allows any solute concentration from zero up to the equiatomic concentration for ternary or quaternary alloys to be modeled at room temperature. The machine learning model thus achieves a significant speed advantage over traditional atomistic simulations, being four orders of magnitude faster, while only experiencing a minimal reduction in accuracy. This efficiency presents a powerful tool for rapid microstructural and interfacial design in unseen domains. Scientifically, our approach reveals a transition in the segregation behavior of Mo from unfavorable in simple systems to favorable in complex environments. Additionally, increasing solute concentration was observed to cause anti-segregation sites to begin to fill, challenging conventional understanding and highlighting the complexity of segregation dynamics in chemically complex environments.
- Published
- 2024
25. When Can We Use Two-Way Fixed-Effects (TWFE): A Comparison of TWFE and Novel Dynamic Difference-in-Differences Estimators
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Rüttenauer, Tobias and Aksoy, Ozan
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Economics - Econometrics - Abstract
The conventional Two-Way Fixed-Effects (TWFE) estimator has come under scrutiny lately. Recent literature has revealed potential shortcomings of TWFE when the treatment effects are heterogeneous. Scholars have developed new advanced dynamic Difference-in-Differences (DiD) estimators to tackle these potential shortcomings. However, confusion remains in applied research as to when the conventional TWFE is biased and what issues the novel estimators can and cannot address. In this study, we first provide an intuitive explanation of the problems of TWFE and elucidate the key features of the novel alternative DiD estimators. We then systematically demonstrate the conditions under which the conventional TWFE is inconsistent. We employ Monte Carlo simulations to assess the performance of dynamic DiD estimators under violations of key assumptions, which likely happens in applied cases. While the new dynamic DiD estimators offer notable advantages in capturing heterogeneous treatment effects, we show that the conventional TWFE performs generally well if the model specifies an event-time function. All estimators are equally sensitive to violations of the parallel trends assumption, anticipation effects or violations of time-varying exogeneity. Despite their advantages, the new dynamic DiD estimators tackle a very specific problem and they do not serve as a universal remedy for violations of the most critical assumptions. We finally derive, based on our simulations, recommendations for how and when to use TWFE and the new DiD estimators in applied research.
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- 2024
26. HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network
- Author
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Benko, Tatyana, Buck, Martin, Amburg, Ilya, Young, Stephen J., and Aksoy, Sinan G.
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Computer Science - Machine Learning - Abstract
In data science, hypergraphs are natural models for data exhibiting multi-way relations, whereas graphs only capture pairwise. Nonetheless, many proposed hypergraph neural networks effectively reduce hypergraphs to undirected graphs via symmetrized matrix representations, potentially losing important information. We propose an alternative approach to hypergraph neural networks in which the hypergraph is represented as a non-reversible Markov chain. We use this Markov chain to construct a complex Hermitian Laplacian matrix - the magnetic Laplacian - which serves as the input to our proposed hypergraph neural network. We study HyperMagNet for the task of node classification, and demonstrate its effectiveness over graph-reduction based hypergraph neural networks., Comment: 9 pages, 1 figure
- Published
- 2024
27. Randomized Algorithms for Symmetric Nonnegative Matrix Factorization
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Hayashi, Koby, Aksoy, Sinan G., Ballard, Grey, and Park, Haesun
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Computer Science - Machine Learning ,Mathematics - Numerical Analysis ,Mathematics - Optimization and Control ,65F55, 65F20 - Abstract
Symmetric Nonnegative Matrix Factorization (SymNMF) is a technique in data analysis and machine learning that approximates a symmetric matrix with a product of a nonnegative, low-rank matrix and its transpose. To design faster and more scalable algorithms for SymNMF we develop two randomized algorithms for its computation. The first algorithm uses randomized matrix sketching to compute an initial low-rank input matrix and proceeds to use this input to rapidly compute a SymNMF. The second algorithm uses randomized leverage score sampling to approximately solve constrained least squares problems. Many successful methods for SymNMF rely on (approximately) solving sequences of constrained least squares problems. We prove theoretically that leverage score sampling can approximately solve nonnegative least squares problems to a chosen accuracy with high probability. Finally we demonstrate that both methods work well in practice by applying them to graph clustering tasks on large real world data sets. These experiments show that our methods approximately maintain solution quality and achieve significant speed ups for both large dense and large sparse problems.
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- 2024
28. Teaching or Testing, Which Matters More? The Transition among Education Levels in Turkey
- Author
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Aksoy, Erdem
- Abstract
This study analyzes the alignment between the educational policy of Turkey and high-stakes tests administered for students transitioning from secondary to high school. Research questions focus on the opinions of secondary school teachers about the alignment between transit exam questions and curricula, course books and materials, and their views on high-stakes testing. The research used a survey study model utilizing the triangulation design. A total of 109 teachers from six different majors working in Ankara participated in the study. An online survey consisting of eight questions was used to get teachers' opinions. The research question was analyzed using quantitative (percentages) and qualitative (content analysis) methods. Results showed that education serves dominantly for tests emphasizing a testing-oriented education system in the current Turkish learning and teaching process, which contrasts with education policy documents targeting 2023.
- Published
- 2023
29. Pistachio Production Quantity Estimate 2022–2030: Evidence from Leading Countries and Türkiye Using the ARIMA Model
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Özdemir, Ferdanur and Aksoy, Adem
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- 2024
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30. Critical droughts extracted from dry periods
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Cavus, Yonca and Aksoy, Hafzullah
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- 2024
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31. Chitosan Increases the Sensitivity of Soybean Under Iron Deficiency by Impairing the Antioxidant Mechanisms and Nutrient Balance
- Author
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Aksoy, Emre
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- 2024
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32. Synthesis of quinazoline derivatives with new phenolic moieties: in vitro and in silico evaluations as alternative polyphenol oxidase inhibitors
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Öztürk, Cansu, Tokali, Feyzi Sinan, Öztekin, Aykut, Kalay, Erbay, Karagöz, Yalçın, and Aksoy, Mine
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- 2024
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33. Development of PCM-Loaded Composite Yarns for Enhanced Thermoregulation in Medical Textiles
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Maleki, Homa, Semnani Rahbar, Rouhollah, Alay Aksoy, Sennur, and Yilmaz, Demet
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- 2024
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34. The effects of earthquakes on midwifery students’ fear of death, anxiety and sense of life meaning
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Çuvadar, Ayşe and Aksoy, Berna
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- 2024
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35. Cortical and subcortical morphometric changes in patients with frontal focal cortical dysplasia type II
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Genç, Barış, Aksoy, Ayşe, and Aslan, Kerim
- Published
- 2024
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36. Investigation of Hope and Spiritual Well-Being Levels among Relatives of Intensive Care Patients in Turkey
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Kant, Elif, Aksoy, Meyreme, and Akpınar, Reva Balcı
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- 2024
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37. Childhood Traumas and Personality Traits’ Impact on Rhinoplasty Decision
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Yılmaz, Yavuz, Aksoy, Ahmet, and Altuntaş, Emine Elif
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- 2024
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38. Automatic recognition of different 3D soliton wave types using deep learning methods
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Aksoy, Abdullah and Yiğit, Enes
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- 2024
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39. Correction: Distinguishing Turkish pine honey from multi-foral honey through MALDI-MS-based N-glycomics and machine learning
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Masri, Saad, Aksoy, Sena, Duman, Hatice, Karav, Sercan, Kayili, Haci Mehmet, and Salih, Bekir
- Published
- 2024
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40. Design of Thermochromic Cotton Fabrics with Thermoregulation Behavior Through Application of Chitosan–Sodium Alginate/Cvl/1-Tetradecanol-Based Thermochromic Phase Change Microcapsules
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Tözüm, Müyesser Selda, Demirbağ Genç, Sena, and Alay Aksoy, Sennur
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- 2024
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41. Topische Kortikosteroide zur Behandlung der kindlichen Phimose
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Aksoy, Cem and Kranz, Jennifer
- Published
- 2024
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42. Elevating security and disease forecasting in smart healthcare through artificial neural synchronized federated learning
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Hai, Tao, Sarkar, Arindam, Aksoy, Muammer, Karmakar, Rahul, Manna, Sarbajit, and Prasad, Amrita
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- 2024
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- View/download PDF
43. Longitudinal Negotiation, Navigation Processes, and School Success in High School: A Two-Wave Latent Transition Approach
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Kassis, Wassilis, Dueggeli, Albert, Govaris, Christos, Kassis, Maria, Dittmar, Miriam, Aksoy, Dilan, and Favre, Céline Anne
- Published
- 2024
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44. Stigma, seizure self-efficacy, and quality of life in children with epilepsy
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AYDIN, Seren, ÖZ TUNÇER, Gökçen, GENÇ, Şeyma, KURT BAYIR, Gülbahar, and AKSOY, Ayşe
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- 2024
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45. Wissen über humane Papillomaviren unter Studierenden in Deutschland: eine Querschnittstudie belegt dringenden Handlungsbedarf
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Aksoy, Cem, Schneidewind, Laila, Butea-Bocu, Marius, Reimold, Philipp, Schönburg, Sandra, Huber, Johannes, Alexa, Radu, Saar, Matthias, and Kranz, Jennifer
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- 2024
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- View/download PDF
46. Predicting graft survival in paediatric kidney transplant recipients using machine learning
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Aksoy, Gülşah Kaya, Akçay, Hüseyin Gökhan, Arı, Çağlar, Adar, Mehtap, Koyun, Mustafa, Çomak, Elif, and Akman, Sema
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- 2024
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- View/download PDF
47. Frequency curves of high and low flows in intermittent river basins for hydrological analysis and hydraulic design
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Sarigil, Gokhan, Cavus, Yonca, Aksoy, Hafzullah, and Eris, Ebru
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- 2024
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48. Therapeutic apheresis: is it safe in children with kidney disease?
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Kalenderoğlu, Muhammed Doğukan, Çomak, Elif, Aksoy, Gülşah Kaya, Bilge, Uğur, Küpesiz, Osman Alphan, Koyun, Mustafa, and Akman, Sema
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- 2024
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- View/download PDF
49. The Effect of Spiritual Well-Being on Self-care Agency in Chronic Obstructive Pulmonary Patients in Turkey: The Mediating Role of Psychological Resilience
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Öztürk, Zeynep, Turan, Gülcan Bahcecioglu, and Aksoy, Meyreme
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- 2024
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50. Collaborative Manipulation of Deformable Objects with Predictive Obstacle Avoidance
- Author
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Aksoy, Burak and Wen, John
- Subjects
Computer Science - Robotics - Abstract
Manipulating deformable objects arises in daily life and numerous applications. Despite phenomenal advances in industrial robotics, manipulation of deformable objects remains mostly a manual task. This is because of the high number of internal degrees of freedom and the complexity of predicting its motion. In this paper, we apply the computationally efficient position-based dynamics method to predict object motion and distance to obstacles. This distance is incorporated in a control barrier function for the resolved motion kinematic control for one or more robots to adjust their motion to avoid colliding with the obstacles. The controller has been applied in simulations to 1D and 2D deformable objects with varying numbers of assistant agents, demonstrating its versatility across different object types and multi-agent systems. Results indicate the feasibility of real-time collision avoidance through deformable object simulation, minimizing path tracking error while maintaining a predefined minimum distance from obstacles and preventing overstretching of the deformable object. The implementation is performed in ROS, allowing ready portability to different applications., Comment: Accepted to 2024 IEEE International Conference on Robotics and Automation (ICRA 2024)
- Published
- 2024
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