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39,136 results on '"Yalcin, A."'

57. Effect of HER2/CEP17 ratio on survival in metastatic HER2-positive gastric cancer, multicenter study

Author

Sekmek, Serhat, Karahan, Irfan, Ucar, Gokhan, Ceylan, Furkan, Bayram, Dogan, Seven, Ismet, Bölek, Hatice, Ürün, Yüksel, Yücel, Kadriye Bir, Yazici, Ozan, Kadioglu, Ahmet, Karacin, Cengiz, Canaslan, Kubra, Atag, Elif, Demirer, Serhat, Erdem, Gokmen Umut, Ergun, Yakup, Atak, Mehmetcan, Koksal, Baris, Kiran, Merve Meryem, Turkay, Duriye Ozer, Civelek, Burak, Yalcin, Bulent, and Uncu, Dogan

Published
2024
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64. Model matchmaking via the Solve-RD Rare Disease Models & Mechanisms Network (RDMM-Europe)

Author

Ellwanger, Kornelia, Brill, Julie A., de Boer, Elke, Efthymiou, Stephanie, Elgersma, Ype, Icmat, Marynelle, Lecoquierre, François, Lobato, Amanda G., Morleo, Manuela, Ori, Michela, Schaffer, Ashleigh E., Vitobello, Antonio, Wells, Sara, Yalcin, Binnaz, Zhai, R. Grace, Sturm, Marc, Zurek, Birte, Graessner, Holm, Bermejo-Sánchez, Eva, Evangelista, Teresinha, Hoogerbrugge, Nicoline, Nigro, Vincenzo, Schüle, Rebecca, Verloes, Alain, Brunner, Han, Campeau, Philippe M., Lasko, Paul, and Riess, Olaf

Published
2024
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71. Systolic blood pressure ≤110 mm Hg is associated with severe coronary microvascular ischemia and higher risk for ventricular arrhythmias in hypertrophic cardiomyopathy.

Author

Lu, Dai-Yin, Yalcin, Hulya, Yalcin, Fatih, Sivalokanathan, Sanjay, Greenland, Gabriela, Ventoulis, Ioannis, Vakrou, Styliani, Pampaloni, Miguel, Zimmerman, Stefan, Valenta, Ines, Schindler, Thomas, Abraham, Theodore, and Abraham, M

Subjects
Hypertrophic cardiomyopathy, Myocardial blood flow, Rest systolic blood pressure, Summed difference score, Ventricular fibrillation, Ventricular tachycardia
Abstract

BACKGROUND: Coronary microvascular dysfunction (CMD) and hypertension (HTN) occur frequently in hypertrophic cardiomyopathy (HCM), but whether blood pressure (BP) influences CMD and outcomes is unknown. OBJECTIVE: The purpose of this study was to test the hypothesis that HTN is associated with worse CMD and outcomes. METHODS: This retrospective study included 690 HCM patients. All patients underwent cardiac magnetic resonance imaging, echocardiography, and rhythm monitoring; 127 patients also underwent rest/vasodilator stress 13NH3 positron emission tomography myocardial perfusion imaging. Patients were divided into 3 groups based on their rest systolic blood pressure (SBP) (group 1 ≤110 mm Hg; group 2 111-140; group 3 >140 mm Hg) and were followed for development of ventricular tachycardia (VT)/ventricular fibrillation (VF), heart failure (HF), death, and composite outcome. RESULTS: Group 1 patients had the lowest age and left ventricular (LV) mass but the highest prevalence of nonobstructive hemodynamics and restrictive diastolic filling. LV scar was similar in the 3 groups. Group 1 had the lowest rest and stress myocardial blood flow (MBF) and highest SDS (summed difference score). Rest SBP was positively correlated with stress MBF and negatively correlated with SDS. Group 1 had the highest incidence of VT/VF, whereas the incidences of HF, death, and composite outcome were similar among the 3 groups. In multivariate analysis, rest SBP ≤110 mm Hg was independently associated with VT/VF (hazard ratio 2.6; 95% confidence interval 1.0-6.7; P = .04). CONCLUSION: SBP ≤110 mm Hg is associated with greater severity of CMD and coronary microvascular ischemia and higher incidence of ventricular arrhythmias in HCM.

Published
2023

72. SurfFlow: high-throughput surface energy calculations for arbitrary crystals

Author

Yalcin, Firat and Wolloch, Michael

Subjects
Condensed Matter - Materials Science, Physics - Computational Physics
Abstract

We introduce SurfFlow, an open-source high-throughput workflow package designed for automated first-principles calculations of surface energies in arbitrary crystals. Our package offers a comprehensive solution capable of handling multi-element crystals, nonstoichiometric compositions, and asymmetric slabs, for all potential terminations. To streamline the computational process, SurfFlow employs an efficient pre-screening method that discards surfaces with suspected high surface energy before conducting resource-intensive density functional theory computations. The results generated are seamlessly compiled into an optimade-compliant database, ensuring easy access and compatibility. Additionally, a user-friendly web interface facilitates workflow submission and management, provides result visualization, and enables the examination of Wulff shapes. SurfFlow represents a valuable tool for researchers looking to explore surface energies and their implications in a diverse range of systems., Comment: 10 pages, 4 figures, GitHub repository URL: https://github.com/fyalcin/surfflow

Published
2023

73. Emotional Theory of Mind: Bridging Fast Visual Processing with Slow Linguistic Reasoning

Author

Etesam, Yasaman, Yalçın, Özge Nilay, Zhang, Chuxuan, and Lim, Angelica

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

The emotional theory of mind problem requires facial expressions, body pose, contextual information and implicit commonsense knowledge to reason about the person's emotion and its causes, making it currently one of the most difficult problems in affective computing. In this work, we propose multiple methods to incorporate the emotional reasoning capabilities by constructing "narrative captions" relevant to emotion perception, that includes contextual and physical signal descriptors that focuses on "Who", "What", "Where" and "How" questions related to the image and emotions of the individual. We propose two distinct ways to construct these captions using zero-shot classifiers (CLIP) and fine-tuning visual-language models (LLaVA) over human generated descriptors. We further utilize these captions to guide the reasoning of language (GPT-4) and vision-language models (LLaVa, GPT-Vision). We evaluate the use of the resulting models in an image-to-language-to-emotion task. Our experiments showed that combining the "Fast" narrative descriptors and "Slow" reasoning of language models is a promising way to achieve emotional theory of mind., Comment: This paper has been accepted for oral presentation at ACII 2024. Webpage: https://yasaman-etesam.github.io/Contextual-Emotion-Recognition/ 9 pages(including references), 1 Tables, 5 figures

Published
2023

74. A Roadmap of Emerging Trends Discovery in Hydrology: A Topic Modeling Approach

Author

Korkut, Sila Ovgu, Kaymak, Oznur Oztunc, Onan, Aytug, Ulker, Erman, and Yalcin, Femin

Subjects
Computer Science - Computational Engineering, Finance, and Science, E.0, I.7, J.2
Abstract

In the new global era, determining trends can play an important role in guiding researchers, scientists, and agencies. The main faced challenge is to track the emerging topics among the stacked publications. Therefore, any study done to propose the trend topics in a field to foresee upcoming subjects is crucial. In the current study, the trend topics in the field of "Hydrology" have been attempted to evaluate. To do so, the model is composed of three key components: a gathering of data, preprocessing of the article's significant features, and determining trend topics. Various topic models including Latent Dirichlet Allocation (LDA), Non-negative Matrix Factorization (NMF), and Latent Semantic Analysis (LSA) have been implemented. Comparing the obtained results with respect to the $C_V$ coherence score, in 2022, the topics of "Climate change", "River basin", "Water management", "Natural hazards/erosion", and "Hydrologic cycle" have been obtained. According to a further analysis, it is shown that these topics keep their impact on the field in 2023, as well., Comment: 16 pages, 4 figures, 3 Tables. This work was supported by the Center of Scientific Research Projects of the Izmir Katip Celebi University [Grant Number: 2022-GAP-MUMF-0029]

Published
2023

75. Heart Disease Detection using Vision-Based Transformer Models from ECG Images

Author

Kilimci, Zeynep Hilal, Yalcin, Mustafa, Kucukmanisa, Ayhan, and Mishra, Amit Kumar

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

Heart disease, also known as cardiovascular disease, is a prevalent and critical medical condition characterized by the impairment of the heart and blood vessels, leading to various complications such as coronary artery disease, heart failure, and myocardial infarction. The timely and accurate detection of heart disease is of paramount importance in clinical practice. Early identification of individuals at risk enables proactive interventions, preventive measures, and personalized treatment strategies to mitigate the progression of the disease and reduce adverse outcomes. In recent years, the field of heart disease detection has witnessed notable advancements due to the integration of sophisticated technologies and computational approaches. These include machine learning algorithms, data mining techniques, and predictive modeling frameworks that leverage vast amounts of clinical and physiological data to improve diagnostic accuracy and risk stratification. In this work, we propose to detect heart disease from ECG images using cutting-edge technologies, namely vision transformer models. These models are Google-Vit, Microsoft-Beit, and Swin-Tiny. To the best of our knowledge, this is the initial endeavor concentrating on the detection of heart diseases through image-based ECG data by employing cuttingedge technologies namely, transformer models. To demonstrate the contribution of the proposed framework, the performance of vision transformer models are compared with state-of-the-art studies. Experiment results show that the proposed framework exhibits remarkable classification results.

Published
2023

76. On Minkowski Inequalities Involving Fractional Calculus With General Analytic Kernels

Author

Gül, Erdal, Akdemir, Ahmet Ocak, and Yalçın, Abdüllatif

Subjects
Mathematics - Analysis of PDEs
Abstract

There have been many proposed forms of fractional calculus, which can be grouped into a few broad classes of operators. By replacing the kernel of the power function with another kernel function, the traditional Riemann-Liouville formula and its generalisations are modified. Recent research has focused on Minkowski fractional inequalities and other inequalities for fractional integrals of certain types of functions. We also provide many concrete examples of applications to demonstrate the power of our key findings. It is no longer necessary to prove such statements separately for each model. This is because in a single study we have provided theorems that are valid for the entire general class of fractional operators. We can also study fractional integrals and derivatives with respect to functions.

Published
2023

77. A Novel Deep Learning Technique for Morphology Preserved Fetal ECG Extraction from Mother ECG using 1D-CycleGAN

Author

Basak, Promit, Sakib, A. H. M Nazmus, Chowdhury, Muhammad E. H., Al-Emadi, Nasser, Yalcin, Huseyin Cagatay, Pedersen, Shona, Mahmud, Sakib, Kiranyaz, Serkan, and Al-Maadeed, Somaya

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Monitoring the electrical pulse of fetal heart through a non-invasive fetal electrocardiogram (fECG) can easily detect abnormalities in the developing heart to significantly reduce the infant mortality rate and post-natal complications. Due to the overlapping of maternal and fetal R-peaks, the low amplitude of the fECG, systematic and ambient noises, typical signal extraction methods, such as adaptive filters, independent component analysis, empirical mode decomposition, etc., are unable to produce satisfactory fECG. While some techniques can produce accurate QRS waves, they often ignore other important aspects of the ECG. Our approach, which is based on 1D CycleGAN, can reconstruct the fECG signal from the mECG signal while maintaining the morphology due to extensive preprocessing and appropriate framework. The performance of our solution was evaluated by combining two available datasets from Physionet, "Abdominal and Direct Fetal ECG Database" and "Fetal electrocardiograms, direct and abdominal with reference heartbeat annotations", where it achieved an average PCC and Spectral-Correlation score of 88.4% and 89.4%, respectively. It detects the fQRS of the signal with accuracy, precision, recall and F1 score of 92.6%, 97.6%, 94.8% and 96.4%, respectively. It can also accurately produce the estimation of fetal heart rate and R-R interval with an error of 0.25% and 0.27%, respectively. The main contribution of our work is that, unlike similar studies, it can retain the morphology of the ECG signal with high fidelity. The accuracy of our solution for fetal heart rate and R-R interval length is comparable to existing state-of-the-art techniques. This makes it a highly effective tool for early diagnosis of fetal heart diseases and regular health checkups of the fetus., Comment: 24 pages, 11 figures

Published
2023
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78. Application of Novel PACS-based Informatics Platform to Identify Imaging Based Predictors of CDKN2A Allelic Status in Glioblastomas

Author

Tillmanns, Niklas, Lost, Jan, Tabor, Joanna, Vasandani, Sagar, Vetsa, Shaurey, Marianayagam, Neelan, Yalcin, Kanat, Erson-Omay, E. Zeynep, von Reppert, Marc, Jekel, Leon, Merkaj, Sara, Ramakrishnan, Divya, Avesta, Arman, Santo, Irene Dixe de Oliveira, Jin, Lan, Huttner, Anita, Bousabarah, Khaled, Ikuta, Ichiro, Lin, MingDe, Aneja, Sanjay, Turowski, Bernd, Aboian, Mariam, and Moliterno, Jennifer

Subjects
Quantitative Biology - Neurons and Cognition
Abstract

Gliomas with CDKN2A mutations are known to have worse prognosis but imaging features of these gliomas are unknown. Our goal is to identify CDKN2A specific qualitative imaging biomarkers in glioblastomas using a new informatics workflow that enables rapid analysis of qualitative imaging features with Visually AcceSAble Rembrandtr Images (VASARI) for large datasets in PACS. Sixty nine patients undergoing GBM resection with CDKN2A status determined by whole-exome sequencing were included. GBMs on magnetic resonance images were automatically 3D segmented using deep learning algorithms incorporated within PACS. VASARI features were assessed using FHIR forms integrated within PACS. GBMs without CDKN2A alterations were significantly larger (64% vs. 30%, p=0.007) compared to tumors with homozygous deletion (HOMDEL) and heterozygous loss (HETLOSS). Lesions larger than 8 cm were four times more likely to have no CDKN2A alteration (OR: 4.3; 95% CI:1.5-12.1; p<0.001). We developed a novel integrated PACS informatics platform for the assessment of GBM molecular subtypes and show that tumors with HOMDEL are more likely to have radiographic evidence of pial invasion and less likely to have deep white matter invasion or subependymal invasion. These imaging features may allow noninvasive identification of CDKN2A allele status., Comment: 23 pages, 5 figures

Published
2023

79. Insights into Patient Experiences with Facilitated Subcutaneous Immunoglobulin Therapy in Primary Immune Deficiency: A Prospective Observational Cohort

Author

Yalcin Gungoren, Ezgi, Yorgun Altunbas, Melek, Dikici, Ummugulsum, Meric, Zeynep, Eser Simsek, Isil, Kiykim, Ayca, Can, Salim, Karabiber, Esra, Yakici, Nalan, Orhan, Fazil, Cokugras, Haluk, Aydogan, Metin, Ozdemir, Oner, Bilgic Eltan, Sevgi, Baris, Safa, Ozen, Ahmet, and Karakoc-Aydiner, Elif

Published
2024
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80. Multiplicity dependence of charged-particle intra-jet properties in pp collisions at s = 13 TeV

Author

Acharya, S., Adamová, D., Rinella, G. Aglieri, Aglietta, L., Agnello, M., Agrawal, N., Ahammed, Z., Ahmad, S., Ahn, S. U., Ahuja, I., Akindinov, A., Al-Turany, M., Aleksandrov, D., Alessandro, B., Alfanda, H. M., Molina, R. Alfaro, Ali, B., Alici, A., Alizadehvandchali, N., Alkin, A., Alme, J., Alocco, G., Alt, T., Altamura, A. R., Altsybeev, I., Alvarado, J. R., Anaam, M. N., Andrei, C., Andreou, N., Andronic, A., Andronov, E., Anguelov, V., Antinori, F., Antonioli, P., Apadula, N., Aphecetche, L., Appelshäuser, H., Arata, C., Arcelli, S., Aresti, M., Arnaldi, R., Arneiro, J. G. M. C. A., Arsene, I. C., Arslandok, M., Augustinus, A., Averbeck, R., Azmi, M. D., Baba, H., Badalà, A., Bae, J., Baek, Y. W., Bai, X., Bailhache, R., Bailung, Y., Bala, R., Balbino, A., Baldisseri, A., Balis, B., Banerjee, D., Banoo, Z., Barile, F., Barioglio, L., Barlou, M., Barman, B., Barnaföldi, G. G., Barnby, L. S., Barreau, E., Barret, V., Barreto, L., Bartels, C., Barth, K., Bartsch, E., Bastid, N., Basu, S., Batigne, G., Battistini, D., Batyunya, B., Bauri, D., Alba, J. L. Bazo, Bearden, I. G., Beattie, C., Becht, P., Behera, D., Belikov, I., Bell Hechavarria, A. D. C., Bellini, F., Bellwied, R., Belokurova, S., Beltran, L. G. E., Beltran, Y. A. V., Bencedi, G., Beole, S., Berdnikov, Y., Berdnikova, A., Bergmann, L., Besoiu, M. G., Betev, L., Bhaduri, P. P., Bhasin, A., Bhat, M. A., Bhattacharjee, B., Bianchi, L., Bianchi, N., Bielčík, J., Bielčíková, J., Bigot, A. P., Bilandzic, A., Biro, G., Biswas, S., Bize, N., Blair, J. T., Blau, D., Blidaru, M. B., Bluhme, N., Blume, C., Boca, G., Bock, F., Bodova, T., Boi, S., Bok, J., Boldizsár, L., Bombara, M., Bond, P. M., Bonomi, G., Borel, H., Borissov, A., Borquez Carcamo, A. G., Bossi, H., Botta, E., Bouziani, Y. E. M., Bratrud, L., Braun-Munzinger, P., Bregant, M., Broz, M., Bruno, G. E., Buckland, M. D., Budnikov, D., Buesching, H., Bufalino, S., Buhler, P., Burmasov, N., Buthelezi, Z., Bylinkin, A., Bysiak, S. A., Cabanillas Noris, J. C., Cai, M., Caines, H., Caliva, A., Calvo Villar, E., Camacho, J. M. M., Camerini, P., Canedo, F. D. M., Cantway, S. L., Carabas, M., Carballo, A. A., Carnesecchi, F., Caron, R., Carvalho, L. A. D., Castillo Castellanos, J., Catalano, F., Cattaruzzi, S., Ceballos Sanchez, C., Cerri, R., Chakaberia, I., Chakraborty, P., Chandra, S., Chapeland, S., Chartier, M., Chattopadhyay, S., Chattopadhyay, S., Cheng, T., Cheshkov, C., Chibante Barroso, V., Chinellato, D. D., Chizzali, E. S., Cho, J., Cho, S., Chochula, P., Choudhury, D., Christakoglou, P., Christensen, C. H., Christiansen, P., Chujo, T., Ciacco, M., Cicalo, C., Ciupek, M. R., Clai, G., Colamaria, F., Colburn, J. S., Colella, D., Colocci, M., Concas, M., Conesa Balbastre, G., Conesa del Valle, Z., Contin, G., Contreras, J. G., Coquet, M. L., Cortese, P., Cosentino, M. R., Costa, F., Costanza, S., Cot, C., Crkovská, J., Crochet, P., Cruz-Torres, R., Cui, P., Dainese, A., Danisch, M. C., Danu, A., Das, P., Das, P., Das, S., Dash, A. R., Dash, S., De Caro, A., de Cataldo, G., de Cuveland, J., De Falco, A., De Gruttola, D., De Marco, N., De Martin, C., De Pasquale, S., Deb, R., Del Grande, R., Stritto, L. Dello, Deng, W., Dhankher, P., Di Bari, D., Di Mauro, A., Diab, B., Diaz, R. A., Dietel, T., Ding, Y., Ditzel, J., Divià, R., Dixit, D. U., Djuvsland, Ø., Dmitrieva, U., Dobrin, A., Dönigus, B., Dubinski, J. M., Dubla, A., Dudi, S., Dupieux, P., Durkac, M., Dzalaiova, N., Eder, T. M., Ehlers, R. J., Eisenhut, F., Ejima, R., Elia, D., Erazmus, B., Ercolessi, F., Espagnon, B., Eulisse, G., Evans, D., Evdokimov, S., Fabbietti, L., Faggin, M., Faivre, J., Fan, F., Fan, W., Fantoni, A., Fasel, M., Feliciello, A., Feofilov, G., Fernández Téllez, A., Ferrandi, L., Ferrer, M. B., Ferrero, A., Ferrero, C., Ferretti, A., Feuillard, V. J. G., Filova, V., Finogeev, D., Fionda, F. M., Flatland, E., Flor, F., Flores, A. N., Foertsch, S., Fokin, I., Fokin, S., Fragiacomo, E., Frajna, E., Fuchs, U., Funicello, N., Furget, C., Furs, A., Fusayasu, T., Gaardhøje, J. J., Gagliardi, M., Gago, A. M., Gahlaut, T., Galvan, C. D., Gangadharan, D. R., Ganoti, P., Garabatos, C., García Chávez, T., Garcia-Solis, E., Gargiulo, C., Gasik, P., Gautam, A., Gay Ducati, M. B., Germain, M., Ghimouz, A., Ghosh, C., Giacalone, M., Gioachin, G., Giubellino, P., Giubilato, P., Glaenzer, A. M. C., Glässel, P., Glimos, E., Goh, D. J. Q., Gonzalez, V., Gordeev, P., Gorgon, M., Goswami, K., Gotovac, S., Grabski, V., Graczykowski, L. K., Grecka, E., Grelli, A., Grigoras, C., Grigoriev, V., Grigoryan, S., Grosa, F., Grosse-Oetringhaus, J. F., Grosso, R., Grund, D., Grunwald, N. A., Guardiano, G. G., Guernane, R., Guilbaud, M., Gulbrandsen, K., Gündem, T., Gunji, T., Guo, W., Gupta, A., Gupta, R., Gupta, R., Gwizdziel, K., Gyulai, L., Hadjidakis, C., Haider, F. U., Haidlova, S., Haldar, M., Hamagaki, H., Hamdi, A., Han, Y., Hanley, B. G., Hannigan, R., Hansen, J., Harris, J. W., Harton, A., Hartung, M. V., Hassan, H., Hatzifotiadou, D., Hauer, P., Havener, L. B., Hellbär, E., Helstrup, H., Hemmer, M., Herman, T., Herrera Corral, G., Herrmann, F., Herrmann, S., Hetland, K. F., Heybeck, B., Hillemanns, H., Hippolyte, B., Hoffmann, F. W., Hofman, B., Hong, G. H., Horst, M., Horzyk, A., Hou, Y., Hristov, P., Huhn, P., Huhta, L. M., Humanic, T. J., Hutson, A., Hutter, D., Hwang, M. C., Ilkaev, R., Ilyas, H., Inaba, M., Innocenti, G. M., Ippolitov, M., Isakov, A., Isidori, T., Islam, M. S., Ivanov, M., Ivanov, M., Ivanov, V., Iversen, K. E., Jablonski, M., Jacak, B., Jacazio, N., Jacobs, P. M., Jadlovska, S., Jadlovsky, J., Jaelani, S., Jahnke, C., Jakubowska, M. J., Janik, M. A., Janson, T., Ji, S., Jia, S., Jimenez, A. A. P., Jonas, F., Jones, D. M., Jowett , J. M., Jung, J., Jung, M., Junique, A., Jusko, A., Kaewjai, J., Kalinak, P., Kalteyer, A. S., Kalweit, A., Karasu Uysal, A., Karatovic, D., Karavichev, O., Karavicheva, T., Karczmarczyk, P., Karpechev, E., Karwowska, M. J., Kebschull, U., Keidel, R., Keijdener, D. L. D., Keil, M., Ketzer, B., Khade, S. S., Khan, A. M., Khan, S., Khanzadeev, A., Kharlov, Y., Khatun, A., Khuntia, A., Khuranova, Z., Kileng, B., Kim, B., Kim, C., Kim, D. J., Kim, E. J., Kim, J., Kim, J., Kim, J., Kim, M., Kim, S., Kim, T., Kimura, K., Kirsch, S., Kisel, I., Kiselev, S., Kisiel, A., Kitowski, J. P., Klay, J. L., Klein, J., Klein, S., Klein-Bösing, C., Kleiner, M., Klemenz, T., Kluge, A., Kobdaj, C., Kollegger, T., Kondratyev, A., Kondratyeva, N., Konig, J., Konigstorfer, S. A., Konopka, P. J., Kornakov, G., Korwieser, M., Koryciak, S. D., Kotliarov, A., Kovacic, N., Kovalenko, V., Kowalski, M., Kozhuharov, V., Králik, I., Kravčáková, A., Krcal, L., Krivda, M., Krizek, F., Gajdosova, K. Krizkova, Kroesen, M., Krüger, M., Krupova, D. M., Kryshen, E., Kučera, V., Kuhn, C., Kuijer, P. G., Kumaoka, T., Kumar, D., Kumar, L., Kumar, N., Kumar, S., Kundu, S., Kurashvili, P., Kurepin, A., Kurepin, A. B., Kuryakin, A., Kushpil, S., Kuskov, V., Kutyla, M., Kweon, M. J., Kwon, Y., La Pointe, S. L., La Rocca, P., Lakrathok, A., Lamanna, M., Landou, A. R., Langoy, R., Larionov, P., Laudi, E., Lautner, L., Lavicka, R., Lea, R., Lee, H., Legrand, I., Legras, G., Lehrbach, J., Lelek, T. M., Lemmon, R. C., León Monzón, I., Lesch, M. M., Lesser, E. D., Lévai, P., Li, X., Liang-gilman, B. E., Lien, J., Lietava, R., Likmeta, I., Lim, B., Lim, S. H., Lindenstruth, V., Lindner, A., Lippmann, C., Liu, D. H., Liu, J., Liveraro, G. S. S., Lofnes, I. M., Loizides, C., Lokos, S., Lömker, J., Loncar, P., Lopez, X., López Torres, E., Lu, P., Lugo, F. V., Luhder, J. R., Lunardon, M., Luparello, G., Ma, Y. G., Mager, M., Maire, A., Majerz, E. M., Makariev, M. V., Malaev, M., Malfattore, G., Malik, N. M., Malik, Q. W., Malik, S. K., Malinina, L., Mallick, D., Mallick, N., Mandaglio, G., Mandal, S. K., Manko, V., Manso, F., Manzari, V., Mao, Y., Marcjan, R. W., Margagliotti, G. V., Margotti, A., Marín, A., Markert, C., Martinengo, P., Martínez, M. I., Martínez García, G., Martins, M. P. P., Masciocchi, S., Masera, M., Masoni, A., Massacrier, L., Massen, O., Mastroserio, A., Matonoha, O., Mattiazzo, S., Matyja, A., Mayer, C., Mazuecos, A. L., Mazzaschi, F., Mazzilli, M., Mdhluli, J. E., Melikyan, Y., Menchaca-Rocha, A., Mendez, J. E. M., Meninno, E., Menon, A. S., Meres, M., Miake, Y., Micheletti, L., Mihaylov, D. L., Mikhaylov, K., Miśkowiec, D., Modak, A., Mohanty, B., Khan, M. Mohisin, Molander, M. 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2024
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81. Measurement of beauty-quark production in pp collisions at s = 13 TeV via non-prompt D mesons

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Acharya, S., Adamová, D., Agarwal, A., Aglieri Rinella, G., Aglietta, L., Agnello, M., Agrawal, N., Ahammed, Z., Ahmad, S., Ahn, S. U., Ahuja, I., Akindinov, A., Akishina, V., Al-Turany, M., Aleksandrov, D., Alessandro, B., Alfanda, H. M., Alfaro Molina, R., Ali, B., Alici, A., Alizadehvandchali, N., Alkin, A., Alme, J., Alocco, G., Alt, T., Altamura, A. R., Altsybeev, I., Alvarado, J. R., Anaam, M. N., Andrei, C., Andreou, N., Andronic, A., Andronov, E., Anguelov, V., Antinori, F., Antonioli, P., Apadula, N., Aphecetche, L., Appelshäuser, H., Arata, C., Arcelli, S., Aresti, M., Arnaldi, R., Arneiro, J. G. M. C. A., Arsene, I. C., Arslandok, M., Augustinus, A., Averbeck, R., Azmi, M. D., Baba, H., Badalà, A., Bae, J., Baek, Y. W., Bai, X., Bailhache, R., Bailung, Y., Bala, R., Balbino, A., Baldisseri, A., Balis, B., Banerjee, D., Banoo, Z., Barile, F., Barioglio, L., Barlou, M., Barman, B., Barnaföldi, G. G., Barnby, L. S., Barreau, E., Barret, V., Barreto, L., Bartels, C., Barth, K., Bartsch, E., Bastid, N., Basu, S., Batigne, G., Battistini, D., Batyunya, B., Bauri, D., Bazo Alba, J. L., Bearden, I. G., Beattie, C., Becht, P., Behera, D., Belikov, I., Bell Hechavarria, A. D. C., Bellini, F., Bellwied, R., Belokurova, S., Beltran, L. G. E., Beltran, Y. A. V., Bencedi, G., Bensaoula, A., Beole, S., Berdnikov, Y., Berdnikova, A., Bergmann, L., Besoiu, M. G., Betev, L., Bhaduri, P. P., Bhasin, A., Bhat, M. A., Bhattacharjee, B., Bianchi, L., Bianchi, N., Bielčík, J., Bielčíková, J., Bigot, A. P., Bilandzic, A., Biro, G., Biswas, S., Bize, N., Blair, J. T., Blau, D., Blidaru, M. B., Bluhme, N., Blume, C., Boca, G., Bock, F., Bodova, T., Bok, J., Boldizsár, L., Bombara, M., Bond, P. M., Bonomi, G., Borel, H., Borissov, A., Borquez Carcamo, A. G., Bossi, H., Botta, E., Bouziani, Y. E. M., Bratrud, L., Braun-Munzinger, P., Bregant, M., Broz, M., Bruno, G. E., Buckland, M. 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2024
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82. Studying strangeness and baryon production mechanisms through angular correlations between charged Ξ baryons and identified hadrons in pp collisions at s = 13 TeV

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Acharya, S., Adamová, D., Adolfsson, J., Aglieri Rinella, G., Agnello, M., Agrawal, N., Ahammed, Z., Ahmad, S., Ahn, S. U., Ahuja, I., Akindinov, A., Al-Turany, M., Aleksandrov, D., Alessandro, B., Alfanda, H. M., Alfaro Molina, R., Ali, B., Alici, A., Alizadehvandchali, N., Alkin, A., Alme, J., Alocco, G., Alt, T., Altamura, A. R., Altsybeev, I., Alvarado, J. R., Anaam, M. N., Andrei, C., Andreou, N., Andronic, A., Anguelov, V., Antinori, F., Antonioli, P., Apadula, N., Aphecetche, L., Appelshäuser, H., Arata, C., Arcelli, S., Aresti, M., Arnaldi, R., Arneiro, J. G. M. C. A., Arsene, I. C., Arslandok, M., Augustinus, A., Averbeck, R., Azmi, M. D., Baba, H., Badalà, A., Bae, J., Baek, Y. W., Bai, X., Bailhache, R., Bailung, Y., Balbino, A., Baldisseri, A., Balis, B., Banerjee, D., Banoo, Z., Barbera, R., Barile, F., Barioglio, L., Barlou, M., Barman, B., Barnaföldi, G. G., Barnby, L. S., Barret, V., Barreto, L., Bartels, C., Barth, K., Bartsch, E., Bastid, N., Basu, S., Batigne, G., Battistini, D., Batyunya, B., Bauri, D., Bazo Alba, J. L., Bearden, I. G., Beattie, C., Becht, P., Behera, D., Belikov, I., Bell Hechavarria, A. D. C., Bellini, F., Bellwied, R., Belokurova, S., Beltran, Y. A. V., Bencedi, G., Beole, S., Berdnikov, Y., Berdnikova, A., Bergmann, L., Besoiu, M. G., Betev, L., Bhaduri, P. P., Bhasin, A., Bhat, M. A., Bhattacharjee, B., Bianchi, L., Bianchi, N., Bielčík, J., Bielčíková, J., Biernat, J., Bigot, A. P., Bilandzic, A., Biro, G., Biswas, S., Bize, N., Blair, J. T., Blau, D., Blidaru, M. B., Bluhme, N., Blume, C., Boca, G., Bock, F., Bodova, T., Bogdanov, A., Boi, S., Bok, J., Boldizsár, L., Bombara, M., Bond, P. M., Bonomi, G., Borel, H., Borissov, A., Borquez Carcamo, A. G., Bossi, H., Botta, E., Bouziani, Y. E. M., Bratrud, L., Braun-Munzinger, P., Bregant, M., Broz, M., Bruno, G. E., Buckland, M. 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Published
2024
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85. Effect of castor oil on esophageal stricture in rats and expression of ST-2, neopterin proteins in corrosive burn model

Author

Aybegum Kalyoncu Aycenk, Onur Yalcin, Ceren Yapar Gumus, Ozge Kaya Korkmaz, Ahmet Burak Gurpinar, Tevfik Noyan, and Yeliz Kasko Arici

Subjects
Corrosive esophageal burn, Esophageal stricture, Castor Oil, ST-2, IL-6, Neopterin, Medicine, Science
Abstract

Abstract Corrosive esophageal burn (CEB) is a disease with high mortality and morbidity rates. The aim of this study was to determine the efficacy of castor oil, in preventing stricture development at the experimental CEB model. In addition to studying standard histopathological damage data, neopterin, IL-33, and ST-2 proteins were also studied for the first time. Fifty Wistar-Albino rats were divided into randomized 5 groups. [Sham group (G1) (n:10), Control group (G2) (n:10), Early Stage Topical Application group (G3)(n:10), Late Stage Topical Application group (G4) (n:10), Oral Application group (G5) (n:10)]. Weight measurement, esophageal length, histopathological damage score (HDS) and total stenosis score (TSS), tissue caspase-3 and VEGF staining, tissue hydroxyproline (HYP), blood TNF-alpha, IL-6, IL-33, Neopterin, and ST-2 levels were measured. In the castor oil application groups, weight gain was observed, the acute phase reaction decreased, submucosal/tunica muscularis fibrosis (TMF) and muscularis mucosal damage (MMD) were reduced, and TSS and HDS decreased. While no significant difference was detected in the ST-2 protein, which was used for the first time in this study model, a significant increase in neopterin protein was observed in the application groups. Results indicate the nutritional contribution of castor oil, as well as its tissue healing and esophageal stricture-preventing efficacy at histopathological and immune-histochemical levels.

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2024
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86. Measurement of beauty-quark production in pp collisions at s $$ \sqrt{s} $$ = 13 TeV via non-prompt D mesons

Author

The ALICE collaboration, S. Acharya, D. Adamová, A. Agarwal, G. Aglieri Rinella, L. Aglietta, M. Agnello, N. Agrawal, Z. Ahammed, S. Ahmad, S. U. Ahn, I. Ahuja, A. Akindinov, V. Akishina, M. Al-Turany, D. Aleksandrov, B. Alessandro, H. M. Alfanda, R. Alfaro Molina, B. Ali, A. Alici, N. Alizadehvandchali, A. Alkin, J. Alme, G. Alocco, T. Alt, A. R. Altamura, I. Altsybeev, J. R. Alvarado, M. N. Anaam, C. Andrei, N. Andreou, A. Andronic, E. Andronov, V. Anguelov, F. Antinori, P. Antonioli, N. Apadula, L. Aphecetche, H. Appelshäuser, C. Arata, S. Arcelli, M. Aresti, R. Arnaldi, J. G. M. C. A. Arneiro, I. C. Arsene, M. Arslandok, A. Augustinus, R. Averbeck, M. D. Azmi, H. Baba, A. Badalà, J. Bae, Y. W. Baek, X. Bai, R. Bailhache, Y. Bailung, R. Bala, A. Balbino, A. Baldisseri, B. Balis, D. Banerjee, Z. Banoo, F. Barile, L. Barioglio, M. Barlou, B. Barman, G. G. Barnaföldi, L. S. Barnby, E. Barreau, V. Barret, L. Barreto, C. Bartels, K. Barth, E. Bartsch, N. Bastid, S. Basu, G. Batigne, D. Battistini, B. Batyunya, D. Bauri, J. L. Bazo Alba, I. G. Bearden, C. Beattie, P. Becht, D. Behera, I. Belikov, A. D. C. Bell Hechavarria, F. Bellini, R. Bellwied, S. Belokurova, L. G. E. Beltran, Y. A. V. Beltran, G. Bencedi, A. Bensaoula, S. Beole, Y. Berdnikov, A. Berdnikova, L. Bergmann, M. G. Besoiu, L. Betev, P. P. Bhaduri, A. Bhasin, M. A. Bhat, B. Bhattacharjee, L. Bianchi, N. Bianchi, J. Bielčík, J. Bielčíková, A. P. Bigot, A. Bilandzic, G. Biro, S. Biswas, N. Bize, J. T. Blair, D. Blau, M. B. Blidaru, N. Bluhme, C. Blume, G. Boca, F. Bock, T. Bodova, J. Bok, L. Boldizsár, M. Bombara, P. M. Bond, G. Bonomi, H. Borel, A. Borissov, A. G. Borquez Carcamo, H. Bossi, E. Botta, Y. E. M. Bouziani, L. Bratrud, P. Braun-Munzinger, M. Bregant, M. Broz, G. E. Bruno, M. D. Buckland, D. Budnikov, H. Buesching, S. Bufalino, P. Buhler, N. Burmasov, Z. Buthelezi, A. Bylinkin, S. A. Bysiak, J. C. Cabanillas Noris, M. F. T. Cabrera, M. Cai, H. Caines, A. Caliva, E. Calvo Villar, J. M. M. 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Weiglhofer, S. C. Wenzel, J. P. Wessels, J. Wiechula, J. Wikne, G. Wilk, J. Wilkinson, G. A. Willems, B. Windelband, M. Winn, J. R. Wright, W. Wu, Y. Wu, Z. Xiong, R. Xu, A. Yadav, A. K. Yadav, S. Yalcin, Y. Yamaguchi, S. Yang, S. Yano, E. R. Yeats, Z. Yin, I.-K. Yoo, J. H. Yoon, H. Yu, S. Yuan, A. Yuncu, V. Zaccolo, C. Zampolli, M. Zang, F. Zanone, N. Zardoshti, A. Zarochentsev, P. Závada, N. Zaviyalov, M. Zhalov, B. Zhang, C. Zhang, L. Zhang, M. Zhang, S. Zhang, X. Zhang, Y. Zhang, Z. Zhang, M. Zhao, V. Zherebchevskii, Y. Zhi, C. Zhong, D. Zhou, Y. Zhou, J. Zhu, Y. Zhu, S. C. Zugravel, and N. Zurlo

Subjects
Hadron-Hadron Scattering, Heavy Quark Production, QCD, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract The p T-differential production cross sections of non-prompt D0, D+, and D s + $$ {\textrm{D}}_{\textrm{s}}^{+} $$ mesons originating from beauty-hadron decays are measured in proton–proton collisions at a centre-of-mass energy s $$ \sqrt{s} $$ = 13 TeV. The measurements are performed at midrapidity, |y| < 0.5, with the data sample collected by ALICE from 2016 to 2018. The results are in agreement with predictions from several perturbative QCD calculations. The fragmentation fraction of beauty quarks to strange mesons divided by the one to non-strange mesons, f s /(f u + f d), is found to be 0.114 ± 0.016 (stat.) ± 0.006 (syst.) ± 0.003 (BR) ± 0.003 (extrap.). This value is compatible with previous measurements at lower centre-of-mass energies and in different collision systems in agreement with the assumption of universality of fragmentation functions. In addition, the dependence of the non-prompt D meson production on the centre-of-mass energy is investigated by comparing the results obtained at s $$ \sqrt{s} $$ = 5.02 and 13 TeV, showing a hardening of the non-prompt D-meson p T-differential production cross section at higher s $$ \sqrt{s} $$ . Finally, the b b ¯ $$ \textrm{b}\overline{\textrm{b}} $$ production cross section per unit of rapidity at midrapidity is calculated from the non-prompt D0, D+, D s + $$ {\textrm{D}}_{\textrm{s}}^{+} $$ , and Λ c + $$ {\Lambda}_{\textrm{c}}^{+} $$ hadron measurements, obtaining d σ / d y = 75.2 ± 3.2 stat . ± 5.2 syst . − 3.2 + 12.3 extrap . $$ \textrm{d}\sigma /\textrm{d}y=75.2\pm 3.2\left(\textrm{stat}.\right)\pm 5.2{\left(\textrm{syst}.\right)}_{-3.2}^{+12.3}\left(\textrm{extrap}.\right) $$ μb.

Published
2024
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87. Multiplicity dependence of charged-particle intra-jet properties in pp collisions at $$\sqrt{{{\varvec{s}}}}$$ s = 13 TeV

Author

ALICE Collaboration, S. Acharya, D. Adamová, G. Aglieri Rinella, L. Aglietta, M. Agnello, N. Agrawal, Z. Ahammed, S. Ahmad, S. U. Ahn, I. Ahuja, A. Akindinov, M. Al-Turany, D. Aleksandrov, B. Alessandro, H. M. Alfanda, R. Alfaro Molina, B. Ali, A. Alici, N. Alizadehvandchali, A. Alkin, J. Alme, G. Alocco, T. Alt, A. R. Altamura, I. Altsybeev, J. R. Alvarado, M. N. Anaam, C. Andrei, N. Andreou, A. Andronic, E. Andronov, V. Anguelov, F. Antinori, P. Antonioli, N. Apadula, L. Aphecetche, H. Appelshäuser, C. Arata, S. Arcelli, M. Aresti, R. Arnaldi, J. G. M. C. A. Arneiro, I. C. Arsene, M. Arslandok, A. Augustinus, R. Averbeck, M. D. Azmi, H. Baba, A. Badalà, J. Bae, Y. W. Baek, X. Bai, R. Bailhache, Y. Bailung, R. Bala, A. Balbino, A. Baldisseri, B. Balis, D. Banerjee, Z. Banoo, F. Barile, L. Barioglio, M. Barlou, B. Barman, G. G. Barnaföldi, L. S. Barnby, E. Barreau, V. Barret, L. Barreto, C. Bartels, K. Barth, E. Bartsch, N. Bastid, S. Basu, G. Batigne, D. Battistini, B. Batyunya, D. 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Wright, W. Wu, Y. Wu, Z. Xiong, R. Xu, A. Yadav, A. K. Yadav, S. Yalcin, Y. Yamaguchi, S. Yang, S. Yano, E. R. Yeats, Z. Yin, I.-K. Yoo, J. H. Yoon, H. Yu, S. Yuan, A. Yuncu, V. Zaccolo, C. Zampolli, F. Zanone, N. Zardoshti, A. Zarochentsev, P. Závada, N. Zaviyalov, M. Zhalov, B. Zhang, C. Zhang, L. Zhang, M. Zhang, S. Zhang, X. Zhang, Y. Zhang, Z. Zhang, M. Zhao, V. Zherebchevskii, Y. Zhi, C. Zhong, D. Zhou, Y. Zhou, J. Zhu, Y. Zhu, S. C. Zugravel, and N. Zurlo

Subjects
Astrophysics, QB460-466, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract The first measurement of the multiplicity dependence of intra-jet properties of leading charged-particle jets in proton–proton (pp) collisions is reported. The mean charged-particle multiplicity and jet fragmentation distributions are measured in minimum-bias and high-multiplicity pp collisions at center-of-mass energy $$\sqrt{s}$$ s = 13 TeV using the ALICE detector. Jets are reconstructed from charged particles produced in the midrapidity region ( $$|\eta | < 0.9$$ | η | < 0.9 ) using the sequential recombination anti- $$k_{\textrm{T}}$$ k T algorithm with jet resolution parameters R = 0.2, 0.3, and 0.4 for the transverse momentum ( $$p_\textrm{T}$$ p T ) interval 5–110 GeV/c. The high-multiplicity events are selected by the forward V0 scintillator detectors. The mean charged-particle multiplicity inside the leading jet cone rises monotonically with increasing jet $$p_\textrm{T}$$ p T in qualitative agreement with previous measurements at lower energies. The distributions of jet fragmentation function variables $$z^{\textrm{ch}}$$ z ch and $$\xi ^{\textrm{ch}}$$ ξ ch are measured for different jet- $$p_\textrm{T}$$ p T intervals. Jet- $$p_\textrm{T}$$ p T independent fragmentation of leading jets is observed for wider jets except at high- and low- $$z^{\textrm{ch}}$$ z ch values. The observed “hump-backed plateau” structure in the $$\xi ^{\textrm{ch}}$$ ξ ch distribution indicates suppression of low- $$p_\textrm{T}$$ p T particles. In high-multiplicity events, an enhancement of the fragmentation probability of low- $$z^{\textrm{ch}}$$ z ch particles accompanied by a suppression of high- $$z^{\textrm{ch}}$$ z ch particles is observed compared to minimum-bias events. This behavior becomes more prominent for low- $$p_\textrm{T}$$ p T jets with larger jet radius. The results are compared with predictions of QCD-inspired event generators, PYTHIA 8 with Monash 2013 tune and EPOS LHC. It is found that PYTHIA 8 qualitatively reproduces the jet modification in high-multiplicity events except at high jet $$p_\textrm{T}$$ p T . These measurements provide important constraints to models of jet fragmentation.

Published
2024
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88. Studying strangeness and baryon production mechanisms through angular correlations between charged Ξ baryons and identified hadrons in pp collisions at s $$ \sqrt{s} $$ = 13 TeV

Author

The ALICE collaboration, S. Acharya, D. Adamová, J. Adolfsson, G. Aglieri Rinella, M. Agnello, N. Agrawal, Z. Ahammed, S. Ahmad, S. U. Ahn, I. Ahuja, A. Akindinov, M. Al-Turany, D. Aleksandrov, B. Alessandro, H. M. Alfanda, R. Alfaro Molina, B. Ali, A. Alici, N. Alizadehvandchali, A. Alkin, J. Alme, G. Alocco, T. Alt, A. R. Altamura, I. Altsybeev, J. R. Alvarado, M. N. Anaam, C. Andrei, N. Andreou, A. Andronic, V. Anguelov, F. Antinori, P. Antonioli, N. Apadula, L. Aphecetche, H. Appelshäuser, C. Arata, S. Arcelli, M. Aresti, R. Arnaldi, J. G. M. C. A. Arneiro, I. C. Arsene, M. Arslandok, A. Augustinus, R. Averbeck, M. D. Azmi, H. Baba, A. Badalà, J. Bae, Y. W. Baek, X. Bai, R. Bailhache, Y. Bailung, A. Balbino, A. Baldisseri, B. Balis, D. Banerjee, Z. Banoo, R. Barbera, F. Barile, L. Barioglio, M. Barlou, B. Barman, G. G. Barnaföldi, L. S. Barnby, V. Barret, L. Barreto, C. Bartels, K. Barth, E. Bartsch, N. Bastid, S. Basu, G. Batigne, D. Battistini, B. Batyunya, D. Bauri, J. L. 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Musa, J. Musinsky, J. W. Myrcha, B. Naik, A. I. Nambrath, B. K. Nandi, R. Nania, E. Nappi, A. F. Nassirpour, A. Nath, C. Nattrass, M. N. Naydenov, A. Neagu, A. Negru, E. Nekrasova, L. Nellen, R. Nepeivoda, S. Nese, G. Neskovic, N. Nicassio, B. S. Nielsen, E. G. Nielsen, S. Nikolaev, S. Nikulin, V. Nikulin, F. Noferini, S. Noh, P. Nomokonov, J. Norman, N. Novitzky, P. Nowakowski, A. Nyanin, J. Nystrand, M. Ogino, S. Oh, A. Ohlson, V. A. Okorokov, J. Oleniacz, A. C. Oliveira Da Silva, A. Onnerstad, C. Oppedisano, A. Ortiz Velasquez, J. Otwinowski, M. Oya, K. Oyama, Y. Pachmayer, S. Padhan, D. Pagano, G. Paić, S. Paisano-Guzmán, A. Palasciano, S. Panebianco, H. Park, J. Park, J. E. Parkkila, Y. Patley, R. N. Patra, B. Paul, H. Pei, T. Peitzmann, X. Peng, M. Pennisi, S. Perciballi, D. Peresunko, G. M. Perez, Y. Pestov, V. Petrov, M. Petrovici, R. P. Pezzi, S. Piano, M. Pikna, P. Pillot, O. Pinazza, L. Pinsky, C. Pinto, S. Pisano, M. Płoskoń, M. Planinic, F. Pliquett, M. G. Poghosyan, B. Polichtchouk, S. Politano, N. Poljak, A. Pop, S. Porteboeuf-Houssais, V. Pozdniakov, I. Y. Pozos, K. K. Pradhan, S. K. Prasad, S. Prasad, R. Preghenella, F. Prino, C. A. Pruneau, I. Pshenichnov, M. Puccio, S. Pucillo, Z. Pugelova, S. Qiu, L. Quaglia, S. Ragoni, A. Rai, A. Rakotozafindrabe, L. Ramello, F. Rami, T. A. Rancien, M. Rasa, S. S. Räsänen, R. Rath, M. P. Rauch, I. Ravasenga, K. F. Read, C. Reckziegel, A. R. Redelbach, K. Redlich, C. A. Reetz, H. D. Regules-Medel, A. Rehman, F. Reidt, H. A. Reme-Ness, Z. Rescakova, K. Reygers, A. Riabov, V. Riabov, R. Ricci, M. Richter, A. A. Riedel, W. Riegler, A. G. Riffero, C. Ristea, M. V. Rodriguez, M. Rodríguez Cahuantzi, S. A. Rodríguez Ramírez, K. Røed, R. Rogalev, E. Rogochaya, T. S. Rogoschinski, D. Rohr, D. Röhrich, P. F. Rojas, S. Rojas Torres, P. S. Rokita, G. Romanenko, F. Ronchetti, A. Rosano, E. D. Rosas, K. Roslon, A. Rossi, A. Roy, S. Roy, N. Rubini, D. Ruggiano, R. Rui, P. G. Russek, R. Russo, A. Rustamov, E. Ryabinkin, Y. Ryabov, A. Rybicki, H. Rytkonen, J. Ryu, W. Rzesa, O. A. M. Saarimaki, S. Sadhu, S. Sadovsky, J. Saetre, K. Šafařík, P. Saha, S. K. Saha, S. Saha, B. Sahoo, R. Sahoo, S. Sahoo, D. Sahu, P. K. Sahu, J. Saini, K. Sajdakova, S. Sakai, M. P. Salvan, S. Sambyal, D. Samitz, I. Sanna, T. B. Saramela, P. Sarma, V. Sarritzu, V. M. Sarti, M. H. P. Sas, S. Sawan, J. Schambach, H. S. Scheid, C. Schiaua, R. Schicker, F. Schlepper, A. Schmah, C. Schmidt, H. R. Schmidt, M. O. Schmidt, M. Schmidt, N. V. Schmidt, A. R. Schmier, R. Schotter, A. Schröter, J. Schukraft, K. Schweda, G. Scioli, E. Scomparin, J. E. Seger, Y. Sekiguchi, D. Sekihata, M. Selina, I. Selyuzhenkov, S. Senyukov, J. J. Seo, D. Serebryakov, L. Šerkšnytė, A. Sevcenco, T. J. Shaba, A. Shabetai, R. Shahoyan, A. Shangaraev, A. Sharma, B. Sharma, D. Sharma, H. Sharma, M. Sharma, S. Sharma, U. Sharma, A. Shatat, O. Sheibani, K. Shigaki, M. Shimomura, J. Shin, S. Shirinkin, Q. Shou, Y. Sibiriak, S. Siddhanta, T. Siemiarczuk, T. F. Silva, D. Silvermyr, T. Simantathammakul, R. Simeonov, B. Singh, K. Singh, R. Singh, S. Singh, V. K. Singh, V. Singhal, T. Sinha, B. Sitar, M. Sitta, T. B. Skaali, G. Skorodumovs, M. Slupecki, N. Smirnov, R. J. M. Snellings, E. H. Solheim, J. Song, C. Sonnabend, F. Soramel, A. B. Soto-hernandez, R. Spijkers, I. Sputowska, J. Staa, J. Stachel, I. Stan, P. J. Steffanic, S. F. Stiefelmaier, D. Stocco, I. Storehaug, P. Stratmann, S. Strazzi, A. Sturniolo, C. P. Stylianidis, A. A. P. Suaide, C. Suire, M. Sukhanov, M. Suljic, R. Sultanov, V. Sumberia, S. Sumowidagdo, S. Swain, I. Szarka, M. Szymkowski, S. F. Taghavi, G. Taillepied, J. Takahashi, G. J. Tambave, S. Tang, Z. Tang, J. D. Tapia Takaki, N. Tapus, L. A. Tarasovicova, M. G. Tarzila, G. F. Tassielli, A. Tauro, A. Tavira García, G. Tejeda Muñoz, A. Telesca, L. Terlizzi, C. Terrevoli, S. Thakur, D. Thomas, A. Tikhonov, N. Tiltmann, A. R. Timmins, M. Tkacik, T. Tkacik, A. Toia, R. Tokumoto, K. Tomohiro, N. Topilskaya, M. Toppi, T. Tork, V. V. Torres, A. G. Torres Ramos, A. Trifiró, A. S. Triolo, S. Tripathy, T. Tripathy, S. Trogolo, V. Trubnikov, W. H. Trzaska, T. P. Trzcinski, A. Tumkin, R. Turrisi, T. S. Tveter, K. Ullaland, B. Ulukutlu, A. Uras, G. L. Usai, M. Vala, N. Valle, L. V. R. van Doremalen, M. van Leeuwen, C. A. van Veen, R. J. G. van Weelden, P. Vande Vyvre, D. Varga, Z. Varga, P. Vargas Torres, M. Vasileiou, A. Vasiliev, O. Vázquez Doce, O. Vazquez Rueda, V. Vechernin, E. Vercellin, S. Vergara Limón, R. Verma, L. Vermunt, R. Vértesi, M. Verweij, L. Vickovic, Z. Vilakazi, O. Villalobos Baillie, A. Villani, A. Vinogradov, T. Virgili, M. M. O. Virta, V. Vislavicius, A. Vodopyanov, B. Volkel, M. A. Völkl, K. Voloshin, S. A. Voloshin, G. Volpe, B. von Haller, I. Vorobyev, N. Vozniuk, J. Vrláková, J. Wan, C. Wang, D. Wang, Y. Wang, A. Wegrzynek, F. T. Weiglhofer, S. C. Wenzel, J. P. Wessels, J. Wiechula, J. Wikne, G. Wilk, J. Wilkinson, G. A. Willems, B. Windelband, M. Winn, J. R. Wright, W. Wu, Y. Wu, R. Xu, A. Yadav, A. K. Yadav, S. Yalcin, Y. Yamaguchi, S. Yang, S. Yano, Z. Yin, I.-K. Yoo, J. H. Yoon, H. Yu, S. Yuan, A. Yuncu, V. Zaccolo, C. Zampolli, F. Zanone, N. Zardoshti, A. Zarochentsev, P. Závada, N. Zaviyalov, M. Zhalov, B. Zhang, C. Zhang, L. Zhang, M. Zhang, S. Zhang, X. Zhang, Y. Zhang, Z. Zhang, M. Zhao, V. Zherebchevskii, Y. Zhi, D. Zhou, Y. Zhou, J. Zhu, Y. Zhu, S. C. Zugravel, and N. Zurlo

Subjects
Hadron-Hadron Scattering, Particle Correlations and Fluctuations, Relativistic Heavy Ion Physics, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract The angular correlations between charged Ξ baryons and associated identified hadrons (pions, kaons, protons, Λ baryons, and Ξ baryons) are measured in pp collisions at s $$ \sqrt{s} $$ = 13 TeV with the ALICE detector to give insight into the particle production mechanisms and balancing of quantum numbers on the microscopic level. In particular, the distribution of strangeness is investigated in the correlations between the doubly-strange Ξ baryon and mesons and baryons that contain a single strange quark, K and Λ. As a reference, the results are compared to Ξπ and Ξp correlations, where the associated mesons and baryons do not contain a strange valence quark. These measurements are expected to be sensitive to whether strangeness is produced through string breaking or in a thermal production scenario. Furthermore, the multiplicity dependence of the correlation functions is measured to look for the turn-on of additional particle production mechanisms with event activity. The results are compared to predictions from the string-breaking model Pythia 8, including tunes with baryon junctions and rope hadronisation enabled, the cluster hadronisation model Herwig 7, and the core-corona model Epos-lhc. While some aspects of the experimental data are described quantitatively or qualitatively by the Monte Carlo models, no model can match all features of the data. These results provide stringent constraints on the strangeness and baryon number production mechanisms in pp collisions.

Published
2024
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89. Prioritizing Vulnerability Factors of Global Food Supply Chains by Fermatean Fuzzy Analytical Hierarchy Process

Author

Yalcin Selin and Ayyildiz Ertugrul

Subjects
food supply chains, vulnerability analysis, analytical hierarchy process, fermatean fuzzy numbers, Electronic computers. Computer science, QA75.5-76.95
Abstract

In response to heightened competition arising from globalization, companies are crafting strategies to sustain their operations. However, these strategies also introduce risks that require meticulous management. The onset of the COVID-19 pandemic has exacerbated disruptions in supply chains, including the vulnerable food supply chain (FCS), strained further by escalating food prices and resource depletion in recent times. Within this context, the vulnerability of global FSCs has escalated significantly due to government-imposed lockdowns during the pandemic. This study aims to comprehensively investigate the multifaceted disruptions in global FSCs caused by the COVID-19 pandemic. By delving deep into the complexities of these disruptions, it seeks to uncover the key factors contributing to the vulnerability of supply chains. Employing a blend of literature review and expert opinions, the study identifies and prioritizes factors using the Fermatean Fuzzy Analytical Hierarchy Process (FF-AHP). A two-level criteria framework consisting of three main criteria and eleven sub-criteria has been developed, taking into account expert recommendations and previous studies. According to the results obtained, it has been revealed that the Managerial factors within the main criteria are the most significant factors in the fragility of the FSC. Among these factors, it has been observed that Technology, Corporation, and Inventory Management are the leading criteria causing to the vulnerability of the FSC. This is the first study to investigate the vulnerabilities of FSC using fuzzy logic. The research underscores the imperative of comprehensive risk management strategies that encompass all stakeholders within the supply chain, particularly during unanticipated crises like pandemics.

Published
2024
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90. Parent-Child Play and Coping: Experiences of Parents and Young Children during the Pandemic

Author

Burcu Izci, Eda Bakir-Yalcin, and Ithel Jones

Abstract

Play can create a safe environment for children to escape from worries. The global COVID-19 pandemic and stay-at-home orders were stressful events for young children and families. This case study documents children's and parents' play, emotions and coping strategies during the COVID-19 pandemic in Turkey. Five mothers and their young children participated in our study, and we used the Parent Play Preferences Questionnaire (PPPQ), a semi-structured interview, and mother-child tasks for data collection in the Summer of 2020. Findings showed young children's daily activities and play changed, and both mothers and children experienced various emotions. Children were aware of the precautions taken to protect themselves from COVID-19, and they attempted to keep the play characters safe in their play. Children reported missing friends, school, playgrounds and playing with others. Our study highlights the importance of parent-child conversations and play to cope with unexpected events in children's lives and captures children's voices in early childhood education research.

Published
2024
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91. Completing the Progression Establishing an International Baseline of Primary, Middle and Secondary Students' Views of Scientific Inquiry

Author

Judith S. Lederman, Selina Bartels, Juan Jimenez, Norman G. Lederman, Katherine Acosta, Karina Adbo, Valarie L. Akerson, Mariana a. Bologna Soares de Andrade, Lucy Avraamidou, Kerry-Anne Barber, Estelle Blanquet, Saouma Boujaoude, Rosa Cardoso, Claire Dresslar Cesljarev, Pawat Chaipidech, Catherine Pozarski Connolly, David T. Crowther, Pabi Maya Das, Özgür Kivilcan Dogan, Ani Epitropova, Naruho Fukuda, Lichun Gai, Soraya Ham, Cigdem Han-Tosunoglu, Gary M. Holliday, Xiao Huang, Rola Khishfe, Anna Koumara, Elianna Kraan, Jari Lavonen, Jessica Shuk Ching Leunga, Yanmei Li, Mila Rosa Librea-Carden, Cheng Liu, Shiang-Yao Liu, Kendra McMahon, Marlene Morales, Patricia D. Morrell, Irene Neumann, Jisun Park, Mafor Penn, Eric Picholle, Katerine Plakitsi, Umesh Ramnarain, Zhelyazka Raykova, Arantza Rico, Fátima Rodríguez-Marín, Aritz Ruiz-González, Carl-Johan Rundgren, Richard Deanne Sagun, Suvi Salonen, Hui Shao, Niwat Srisawasdi, Aik Ling Tan, Radu Bogdan Toma, Tshering, Zeynep Ünsal, Clara Vidal Carulla, Jana Visnovska, Frauke Voitle, Yalcin Yalaki, Hye-jin Yoo, and Quianyun Zhu

Abstract

Knowledge of scientific inquiry (SI) is considered essential to the development of an individual's Scientific Literacy (SL) and therefore, SI is included in many international science education reform documents. Two previous large scale international studies assessed the SI understandings of students entering middle school and secondary students at the end of their formal K-12 science education. The purpose of this international project was to use the VASI-E to collect data on what primary level students have learned about SI in their first few years of school. This study adds to previous research to bridge the landscape of SI understandings now with representation from primary, middle and high school samples. A total of 4,238 students from 35 countries/regions spanning six continents participated in the study. The results show that globally, primary students are not adequately informed about SI for their age group. However, when compared with the students in the previous international studies (grades seven and 12), the primary students' understandings were surprisingly closer to the levels of understanding of SI of the secondary school students than those in the seventh grade study.

Published
2024
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92. What Can First-Year Undergraduate Students 'Envision' from a Pandemic?

Author

Yalcin Yildirim, Volkan Muftuoglu, Nazli Deniz Ersoz, and Mahyar Arefi

Abstract

The COVID-19 pandemic has further compounded the inherent complexities of design pedagogy. At the same time, offering an online teaching method made it imperative to incorporate the pandemic's implications in the design process upon experiencing its adverse impacts. This study investigates landscape architecture students' design approaches and understandings in a real-world studio based on the before and after COVID-19 scenarios. The findings show that most students designed multi-functional public open spaces before the COVID-19 period while they envisioned post-pandemic uses after the COVID-19 period. The study results not only offer insights for online or distance learning for design students, but also prepare design-oriented solutions for the pandemic-related episodes.

Published
2024
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94. Non-standard power grid frequency statistics in Asia, Australia, and Europe

Author

Wen, Xinyi, Anvari, Mehrnaz, Gorjao, Leonardo Rydin, Yalcin, G. Cigdem, Hagenmeyer, Veit, and Schafer, Benjamin

Subjects
Electrical Engineering and Systems Science - Systems and Control, Physics - Physics and Society
Abstract

The power-grid frequency reflects the balance between electricity supply and demand. Measuring the frequency and its variations allows monitoring of the power balance in the system and, thus, the grid stability. In addition, gaining insight into the characteristics of frequency variations and defining precise evaluation metrics for these variations enables accurate assessment of the performance of forecasts and synthetic models of the power-grid frequency. Previous work was limited to a few geographical regions and did not quantify the observed effects. In this contribution, we analyze and quantify the statistical and stochastic properties of self-recorded power-grid frequency data from various synchronous areas in Asia, Australia, and Europe at a resolution of one second. Revealing non-standard statistics of both empirical and synthetic frequency data, we effectively constrain the space of possible (stochastic) power-grid frequency models and share a range of analysis tools to benchmark any model or characterize empirical data. Furthermore, we emphasize the need to analyze data from a large range of synchronous areas to obtain generally applicable models., Comment: 7 pages; 7 figures

Published
2023

95. Who Is Alyx? A new Behavioral Biometric Dataset for User Identification in XR

Author

Rack, Christian, Fernando, Tamara, Yalcin, Murat, Hotho, Andreas, and Latoschik, Marc Erich

Subjects
Computer Science - Human-Computer Interaction
Abstract

This article presents a new dataset containing motion and physiological data of users playing the game "Half-Life: Alyx". The dataset specifically targets behavioral and biometric identification of XR users. It includes motion and eye-tracking data captured by a HTC Vive Pro of 71 users playing the game on two separate days for 45 minutes. Additionally, we collected physiological data from 31 of these users. We provide benchmark performances for the task of motion-based identification of XR users with two prominent state-of-the-art deep learning architectures (GRU and CNN). After training on the first session of each user, the best model can identify the 71 users in the second session with a mean accuracy of 95% within 2 minutes. The dataset is freely available under https://github.com/cschell/who-is-alyx

Published
2023
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96. Multi-objective variational curves

Author

Kaya, C. Yalçın, Noakes, J. Lyle, and Zhang, Erchuan

Subjects
Mathematics - Optimization and Control, 58E17, 49M25, 53Z99
Abstract

Riemannian cubics in tension are critical points of the linear combination of two objective functionals, namely the squared norms of the velocity and acceleration of a curve on a Riemannian manifold. We view this variational problem of finding a curve as a multi-objective optimization problem and construct the Pareto fronts for some given instances where the manifold is a sphere and where the manifold is a torus. The Pareto front for the curves on the torus turns out to be particularly interesting: the front is disconnected and it reveals two distinct Riemannian cubics with the same boundary data, which is the first known nontrivial instance of this kind. We also discuss some convexity conditions involving the Pareto fronts for curves on general Riemannian manifolds.

Published
2023

97. Fast non-iterative algorithm for 3D point-cloud holography

Author

Ersaro, Nathan Tessema, Yalcin, Cem, Murray, Liz, Kabuli, Leyla, Waller, Laura, and Muller, Rikky

Subjects
Computer Science - Graphics, Physics - Optics
Abstract

Recently developed iterative and deep learning-based approaches to computer-generated holography (CGH) have been shown to achieve high-quality photorealistic 3D images with spatial light modulators. However, such approaches remain overly cumbersome for patterning sparse collections of target points across a photoresponsive volume in applications including biological microscopy and material processing. Specifically, in addition to requiring heavy computation that cannot accommodate real-time operation in mobile or hardware-light settings, existing sampling-dependent 3D CGH methods preclude the ability to place target points with arbitrary precision, limiting accessible depths to a handful of planes. Accordingly, we present a non-iterative point cloud holography algorithm that employs fast deterministic calculations in order to efficiently allocate patches of SLM pixels to different target points in the 3D volume and spread the patterning of all points across multiple time frames. Compared to a matched-performance implementation of the iterative Gerchberg-Saxton algorithm, our algorithm's relative computation speed advantage was found to increase with SLM pixel count, exceeding 100,000x at 512x512 array format., Comment: 22 pages, 11 figures, manuscript and supplement

Published
2023
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98. Mobility Strategy of Multi-Limbed Climbing Robots for Asteroid Exploration

Author

Ribeiro, Warley F. R., Uno, Kentaro, Imai, Masazumi, Murase, Koki, Yalçın, Barış Can, Hariry, Matteo El, Olivares-Mendez, Miguel A., and Yoshida, Kazuya

Subjects
Computer Science - Robotics
Abstract

Mobility on asteroids by multi-limbed climbing robots is expected to achieve our exploration goals in such challenging environments. We propose a mobility strategy to improve the locomotion safety of climbing robots in such harsh environments that picture extremely low gravity and highly uneven terrain. Our method plans the gait by decoupling the base and limbs' movements and adjusting the main body pose to avoid ground collisions. The proposed approach includes a motion planning that reduces the reactions generated by the robot's movement by optimizing the swinging trajectory and distributing the momentum. Lower motion reactions decrease the pulling forces on the grippers, avoiding the slippage and flotation of the robot. Dynamic simulations and experiments demonstrate that the proposed method could improve the robot's mobility on the surface of asteroids., Comment: Paper accepted for presentation at the CLAWAR 2023 (26th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines) (Updated references formatting)

Published
2023

99. A meta-analysis of epitopes in prostate-specific antigens identifies opportunities and knowledge gaps.

Author

Foos, Gabriele, Blazeska, Nina, Nielsen, Morten, Carter, Hannah, Kosaloglu-Yalcin, Zeynep, Peters, Bjoern, and Sette, Alessandro

Subjects
Antibodies, CEDAR, Cancer, Database, Epitope, MHC ligand, Prostate, T cell, Male, Humans, Prostate-Specific Antigen, Prostate, Ligands, Epitopes, T-Lymphocyte, Prostatic Neoplasms
Abstract

BACKGROUND: The Cancer Epitope Database and Analysis Resource (CEDAR) is a newly developed repository of cancer epitope data from peer-reviewed publications, which includes epitope-specific T cell, antibody, and MHC ligand assays. Here we focus on prostate cancer as our first cancer category to demonstrate the capabilities of CEDAR, and to shed light on the advances of epitope-related prostate cancer research. RESULTS: The meta-analysis focused on a subset of data describing epitopes from 8 prostate-specific (PS) antigens. A total of 460 epitopes were associated with these proteins, 187 T cell, 109B cell, and 271 MHC ligand epitopes. The number of epitopes was not correlated with the length of the protein; however, we found a significant positive correlation between the number of references per specific PS antigen and the number of reported epitopes. Forty-four different class I and 27 class II restrictions were found, with the most epitopes described for HLA-A*02:01 and HLA-DRB1*01:01. Cytokine assays were mostly limited to IFNg assays and a very limited number of tetramer assays were performed. Monoclonal and polyclonal B cell responses were balanced, with the highest number of epitopes studied in ELISA/Western blot assays. Additionally, epitopes were generically described as associated with prostate cancer, with little granularity specifying diseases state. We found that in vivo and tumor recognition assays were sparse, and the number of epitopes with annotated B/T cell receptor information were limited. Potential immunodominant regions were identified by the use of the ImmunomeBrowser tool. CONCLUSION: CEDAR provides a comprehensive repository of epitopes related to prostate-specific antigens. This inventory of epitope data with its wealth of searchable T cell, B cell and MHC ligand information provides a useful tool for the scientific community. At the same time, we identify significant knowledge gaps that could be addressed by experimental analysis.

Published
2023

100. Performance Analysis for Web Scraping Tools: Case Studies on Beautifulsoup, Scrapy, Htmlunit and Jsoup

Author

Dikilitaş, Yılmaz, Çakal, Çoşkun, Okumuş, Ahmet Can, Yalçın, Halime Nur, Yıldırım, Emine, Ulusoy, Ömer Faruk, Macit, Bilal, Kırkaya, Aslı Ece, Yalçın, Özkan, Erdoğmuş, Ekin, Sayar, Ahmet, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, García Márquez, Fausto Pedro, editor, Jamil, Akhtar, editor, Hameed, Alaa Ali, editor, and Segovia Ramírez, Isaac, editor

Published
2024
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