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1. Towards model descriptions of the latest data by the NA61/SHINE collaboration on $${^{40}\mathrm{Ar}+{^{45}}\mathrm{Sc}}$$ 40 Ar + 45 Sc and $${^{7}\mathrm{Be}+{^{9}}\mathrm{Be}}$$ 7 Be + 9 Be interactions

Author

A. Galoyan, A. Ribon, V. Uzhinsky, and the Geant4 hadronic physics working group

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

Abstract Application of the HIJING, EPOS 1.99, UrQMD and Geant4 FTF models for the analysis of experimental data by the collaboration is considered. A short description of the models is given. It is shown that the FTF (FRITIOF) model of the Geant4 toolkit describes well the NA61/SHINE data on $$\pi ^-$$ π - meson rapidity distributions in $${ ^{40}\mathrm{Ar}+{}^{45}\mathrm{Sc}}$$ 40 Ar + 45 Sc interactions at $$\sqrt{s_{NN}}=$$ s NN = 5.2 and 6.1 GeV. At higher energies, $$\sqrt{s_{NN}}=$$ s NN = 7.6, 8.8, 11.9 and 16.8 GeV, the model underestimates the data by 13%, 14%, 14% and 27%, respectively. The model also describes well the analogous data for $${^{7}\mathrm{Be}+{}^{9}\mathrm{Be}}$$ 7 Be + 9 Be interactions at all energies ( $$\sqrt{s_{NN}}=$$ s NN = 6.1–16.8 GeV). It is the best model description among the descriptions of other models considered by the collaboration.

Published
2022
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2. Technical Design Report of the Spin Physics Detector at NICA

Author

The SPD Collaboration, Abazov, V., Abramov, V., Afanasyev, L., Akhunzyanov, R., Akindinov, A., Alekseev, I., Aleshko, A., Alexakhin, V., Alexeev, G., Alimov, L., Allakhverdieva, A., Amoroso, A., Andreev, V., Andronov, E., Anikin, Yu., Anischenko, S., Anisenkov, A., Anosov, V., Antokhin, E., Antonov, A., Antsupov, S., Anufriev, A., Asadova, K., Ashraf, S., Astakhov, V., Aynikeev, A., Azarkin, M., Azorskiy, N., Bagulya, A., Baigarashev, D., Baldin, A., Baldina, E., Barbashina, N., Barnyakov, A., Barsov, S., Bartkevich, A., Baryshevsky, V., Basharina, K., Baskakov, A., Baskov, V., Batista, M., Baturitsky, M., Bautin, V., Bedareva, T., Belokurova, S., Belova, A., Belyaeva, E., Berdnikov, A., Berdnikov, Ya., Berezhnoy, A., Berngardt, A., Bespalov, Yu., Bleko, V., Bliznyuk, L., Bogoslovskii, D., Boiko, A., Boikov, A., Bolsunovskya, M., Boos, E., Borisov, V., Borsch, V., Budkouski, D., Bulanova, S., Bulekov, O., Bunichev, V., Burtebayev, N., Bychanok, D., Casanova, A., Cesar, G., Chemezov, D., Chepurnov, A., Chen, L., Chmill, V., Chukanov, A., Chuzo, A., Danilyuk, A., Datta, A., Dedovich, D., Demichev, M., Deng, G., Denisenko, I., Denisov, O., Derbysheva, T., Derkach, D., Didorenko, A., Dima, M. -O., Doinikov, A., Doronin, S., Dronik, V., Dubinin, F., Dunin, V., Durum, A., Egorov, A., El-Kholy, R., Enik, T., Ermak, D., Erofeev, D., Erokhin, A., Ezhov, D., Fedin, O., Fedotova, Ju., Feofilov, G., Filatov, Yu., Filimonov, S., Frolov, V., Galaktionov, K., Galoyan, A., Garkun, A., Gavrishchuk, O., Gerasimov, S., Gerassimov, S., Gilts, M., Gladilin, L., Golovanov, G., Golovnya, S., Golovtsov, V., Golubev, A., Golubykh, S., Goncharov, P., Gongadze, A., Greben, N., Gregoryev, A., Gribkov, D., Gridin, A., Gritsay, K., Gubachev, D., Guo, J., Gurchin, Yu., Gurinovich, A., Gurov, Yu., Guskov, A., Gutierrez, D., Guzman, F., Hakobyan, A., Han, D., Harkusha, S., Hu, Sh., Igolkin, S., Isupov, A., Ivanov, A., Ivanov, N., Ivantchenko, V., Jin, Sh., Kakurin, S., Kalinichenko, N., Kambar, Y., Kantsyrev, A., Kapitonov, I., Karjavine, V., Karpishkov, A., Katcin, A., Kekelidze, G., Kereibay, D., Khabarov, S., Kharyuzov, P., Khodzhibagiyan, H., Kidanov, E., Kidanova, E., Kim, V., Kiryanov, A., Kishchin, I., Kokoulina, E., Kolbasin, A., Komarov, V., Konak, A., Kopylov, Yu., Korjik, M., Korotkov, M., Korovkin, D., Korzenev, A., Kostenko, B., Kotova, A., Kotzinian, A., Kovalenko, V., Kovyazina, N., Kozhin, M., Kraeva, A., Kramarenko, V., Kremnev, A., Kruchonak, U., Kubankin, A., Kuchinskaia, O., Kulchitsky, Yu., Kuleshov, S., Kulikov, A., Kulikov, V., Kurbatov, V., Kurmanaliev, Zh., Kurochkin, Yu., Kutuzov, S., Kuznetsova, E., Kuyanov, I., Ladygin, E., Ladygin, V., Larionova, D., Lebedev, V., Levchuk, M., Li, P., Li, X., Li, Y., Livanov, A., Lednicki, R., Lobanov, A., Lobko, A., Loshmanova, K., Lukashevich, S., Luschevskaya, E., Lyashko, A. L'vov I., Lysan, V., Lyubovitskij, V., Madigozhin, D., Makarenko, V., Makarov, N., Makhmanazarov, R., Maleev, V., Maletic, D., Malinin, A., Maltsev, A., Maltsev, N., Malkhasyan, A., Malyshev, M., Mamoutova, O., Manakonov, A., Marova, A., Merkin, M., Meshkov, I., Metchinsky, V., Minko, O., Mitrankov, Yu., Mitrankova, M., Mkrtchyan, A., Mkrtchyan, H., Mohamed, R., Morozova, S., Morozikhin, A., Mosolova, E., Mossolov, V., Movchan, S., Mukhamejanov, Y., Mukhamejanova, A., Muzyaev, E., Myktybekov, D., Nagorniy, S., Nassurlla, M., Nechaeva, P., Negodaev, M., Nesterov, V., Nevmerzhitsky, M., Nigmatkulov, G., Nikiforov, D., Nikitin, V., Nikolaev, A., Oleynik, D., Onuchin, V., Orlov, I., Orlova, A., Ososkov, G., Panzieri, D., Parsamyan, B., Pavzderin, P., Pavlov, V., Pedraza, M., Perelygin, V., Peshkov, D., Petrosyan, A., Petrov, M., Petrov, V., Petrukhin, K., Piskun, A., Pivovarov, S., Polishchuk, I., Polozov, P., Polyanskii, V., Ponomarev, A., Popov, V., Popovich, S., Prokhorova, D., Prokofiev, N., Prokoshin, F., Puchkov, A., Pudin, I., Pyata, E., Ratnikov, F., Rasin, V., Red'kov, V., Reshetin, A., Reznikov, S., Rogacheva, N., Romakhov, S., Rouba, A., Rudnev, V., Rusinov, V., Rusov, D., Ryltsov, V., Saduyev, N., Safonov, A., Sakhiyev, S., Salamatin, K., Saleev, V., Samartsev, A., Samigullin, E., Samoylov, O., Saprunov, E., Savenkov, A., Seleznev, A., Semak, A., Senkov, D., Sergeev, A., Seryogin, L., Seryubin, S., Shabanov, A., Shahinyan, A., Shavrin, A., Shein, I., Sheremeteva, A., Shevchenko, V., Shilyaev, K., Shimansky, S., Shinbulatov, S., Shipilov, F., Shipilova, A., Shkarovskiy, S., Shoukovy, D., Shpakov, K., Shreyber, I., Shtejer, K., Shulyakovsky, R., Shunko, A., Sinelshchikova, S., Skachkova, A., Skalnenkov, A., Smirnov, A., Smirnov, S., Snesarev, A., Solin, A., Solin jr., A., Soldatov, E., Solovtsov, V., Song, J., Sosnov, D., Stavinskiy, A., Stekacheva, D., Streletskaya, E., Strikhanov, M., Suarez, O., Sukhikh, A., Sukhovarov, S., Sulin, V., Sultanov, R., Sun, P., Svirida, D., Syresin, E., Tadevosyan, V., Tarasov, O., Tarkovsky, E., Tchekhovsky, V., Tcherniaev, E., Terekhin, A., Terkulov, A., Tereshchenko, V., Teryaev, O., Teterin, P., Tishevsky, A., Tokmenin, V., Topilin, N., Tsiareshka, P., Tumasyan, A., Tyumenkov, G., Usenko, E., Uvarov, L., Uzhinsky, V., Uzikov, Yu., Valiev, F., Vasilieva, E., Vasyukov, A., Vechernin, V., Verkheev, A., Vertogradov, L., Vertogradova, Yu., Vidal, R., Voitishin, N., Volkov, I., Volkov, P., Vorobyov, A., Voskanyan, H., Wang, H., Wang, Y., Xu, T., Yanovich, A., Yeletskikh, I., Yerezhep, N., Yurchenko, S., Zakharov, A., Zamiatin, N., Zamora-Saá, J., Zarochentsev, A., Zelenov, A., Zemlyanichkina, E., Zhabitsky, M., Zhang, J., Zhang, Zh., Zhemchugov, A., Zherebchevsky, V., Zhevlakov, A., Zhigareva, N., Zhou, J., Zhuang, X., Zhukov, I., Zhuravlev, N., Zinin, A., Zmeev, S., Zolotykh, D., Zubarev, E., and Zvyagina, A.

Subjects
High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

The Spin Physics Detector collaboration proposes to install a universal detector in the second interaction point of the NICA collider under construction (JINR, Dubna) to study the spin structure of the proton and deuteron and other spin-related phenomena using a unique possibility to operate with polarized proton and deuteron beams at a collision energy up to 27 GeV and a luminosity up to $10^{32}$ cm$^{-2}$ s$^{-1}$. As the main goal, the experiment aims to provide access to the gluon TMD PDFs in the proton and deuteron, as well as the gluon transversity distribution and tensor PDFs in the deuteron, via the measurement of specific single and double spin asymmetries using different complementary probes such as charmonia, open charm, and prompt photon production processes. Other polarized and unpolarized physics is possible, especially at the first stage of NICA operation with reduced luminosity and collision energy of the proton and ion beams. This document is dedicated exclusively to technical issues of the SPD setup construction.

Published
2024

8. Development of Standard and Competitive ELISA for Detection and Quantification of PRP-1 in Biological Fluids by Using anti-PRP-1 Polyclonal Antiserum

Author

N. V. Tumasyan, I. K. Sahakyan, N. V. Kocharyan, A. A. Khachatryan, T. K. Davtyan, K. A. Galoyan, and S. S. Abrahamyan

Subjects
prp-1, galarmin, elisa, Medicine
Abstract

This study aimed to establish a sensitive method for the detection of proline-rich polypeptide-1 (PRP-1) in biological fluids. PRP-1, also known as galarmin, is a fragment of neurophysin-vasopressin-associated glycoprotein synthesized by brain neurosecretory cells and consisting of 15 amino acid residues. An enzyme-linked immunosorbent assay (ELISA) was used for PRP-1 quantification. An ELISA system has been developed using polyclonal antibodies we raised against the synthetic PRP-1. According to the analysis, the concentration PRP-1 of 25 ng/mL was accepted as the main appropriate coating concentration for further experiments in 1:100 and 1:500 antibody dilutions. Then, a competitive ELISA was developed to quantify PRP-1 in the fluids. Based on the results, an appropriate condition was chosen to be the best condition for PRP-1 detection: the appropriate quantity of the immobilized PRP-1 (25 ng/mL); anti-rabbit primary antibodies against PRP-1 (1:500); anti-rabbit secondary antibodies conjugated to peroxidase (1:1000), and extravidin (1:1000); as a result, the minimum detectable amount of PRP-1 in the fluid was 1.5 ng/mL. Thus, this method provides a good detection limit and sensitivity and is easy to use. In addition, a large number of rats and human serum and plasma samples can be analyzed rapidly and simultaneously, which is what we intend to realize in the future.

Published
2024
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9. VECTORS OF AUTOMATIZATION OF KNOWLEDGE AND INFORMATION SYSTEMS MANAGEMENT IN THE DIGITAL ECONOMY

Author

Shohyora K. Otakhonova, Diana R. Galoyan, Dilorom A. Kholmatova, and Tatul M. Mkrtchyan

Subjects
automatization, knowledge and information systems management, digital economy, ai, chatbots, digital solutions, Engineering (General). Civil engineering (General), TA1-2040
Abstract

In this research, we study the types and features of digital automatized solutions which are connected with knowledge and information systems management in various sectors of the economy. It is demonstrated that at the current stage of the formation of the digital economy, there have formed various directions (vectors) that cover e-commerce, high-tech industry, logistics, transport, etc. Despite many advantages of automatization in the considered directions, there are still problems with adapting ICTs and a global threat of the growth of unemployment. A comprehensive solution to this problem will determine the further socioeconomic development of countries. The objective of this research is to systematise the key directions (vectors) of automatization in the management of knowledge and information systems in the conditions of digitalization of economic sectors and infrastructure. The methodological framework of this research is comprised of frame analysis, statistical method, and trend method. The scientific novelty of this research is connected with the substantiation of perspectives of further development of automatized digital solutions in the digital economy given the existing social threats.

Published
2024
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10. LEGAL ENVIRONMENT AND REGULATORY SUPPORT FOR KNOWLEDGE AND INFORMATION SYSTEMS MANAGEMENT IN THE DIGITAL ECONOMY

Author

Diana R. Galoyan, Barchinoy Y. Abdullayeva, Irina A. Alenkova, and Tatiana A. Dugina

Subjects
legal environment, regulatory support, legal regulation, knowledge management, information systems, digital economy, digital technologies, Engineering (General). Civil engineering (General), TA1-2040
Abstract

This paper dwells on the problem of regulatory and legal support for the processes of knowledge and information systems management, which take place in the conditions of the digital economy. Specific features and theoretical foundations of the regulation of digital knowledge, technologies, and information systems are considered, and their complexity and dynamic character, which require a high level of flexibility and adaptability from the legal system, are determined. Different levels and elements of the legal environment and regulatory support of the studied processes are analysed, and spheres of the normative and legal regulation and examples of their support, adopted in the European Union as one of the leaders in digital transformation, are considered. The research methodology is based on the dialectic and system approaches, which combine processes peculiar to law, management, state regulation, economics, cybernetics, technical sciences, etc. Focus is made on philosophical and ethical principles of regulating the opportunities for using digital technologies in the modern world. The methodological tools of the research include specific historical method, analysis, synthesis, observation, generalisation, and observation. The value of this research consists in the generalisation and structuring of the conditions and processes of the legal regulation of knowledge and information systems management in the context of the digital economy and the use of digital solutions. This is manifested through a selection of the key spheres of legal regulation and a description of the complex character of the legal environment of the studied processes, which covers not only imperative legal acts but also dispositive norms, as well as the individual responsibility of developers and users.

Published
2024
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12. MINING OF METAL ORES INDUSTRY AND ECONOMIC GROWTH NEXUS IN ARMENIA: CHALLENGES AND PROSPECTS

Author

Diana Galoyan, Zoya Tadevosyan, Anna Makryan, and Hamlet Mkrtchyan

Subjects
mining of metal ores, export, economic growth, copper concentrates, ferromolybdenum, molybdenum concentrates, export-led growth hypothesis, armenia, Engineering (General). Civil engineering (General), TA1-2040
Abstract

The mining industry is pivotal in ensuring Armenia's foreign exchange earnings. Therefore, we investigate the role of real exports of companies representing the mining of metal ores industry using quarterly data (2012q1 2023q2) in explaining statistically significant changes in the real GDP in the short run based on the least squares estimation technique. We conclude that significant positive changes in the real GDP are not associated with the increase in the industry's real exports since the growth of the mining of metal ores industry in Armenia mainly reflects the developments in the global commodity market. Hence, we find no evidence of the “multiplier effect.” Based on the findings, we substantiate the main challenges the industry could face and highlight the prospects ahead while meeting the objectives that the Mining Sector Development Strategy (until 2035) defined to ensure the industry's growth and attract new investors.

Published
2024
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13. Connecting Science, Design Thinking, and Computational Thinking through Sports

Author

Galoyan, Tamara, Barany, Amanda, Donaldson, Jonan Phillip, Ward, Nahla, and Hammrich, Penny

Abstract

Despite calls for both research and curricular implementations that support underrepresented students' exploration of STEM topics, curricula that apply principles of embodied cognition, such as the use of sports to teach science, are still needed. Further research may also serve to clarify how underrepresented students construct knowledge over time and make sense of embodied STEM learning experiences. In order to encourage engagement with science education, the four-week Science Through Sports summer curriculum was designed and implemented at a middle school located in an economically underrepresented urban area. The purpose of this mixed-methods study was to explore 15 middle school students' attitudes toward science, design thinking, and computational thinking as a result of engaging in Science Through Sports. Findings revealed growth in students' attitudes toward science and science identities, as well as development of skills, self-efficacy, and knowledge in relation to science, sports, computational thinking, and design thinking.

Published
2022

14. Exploring Online Pedagogical Practices for Enhancing Transfer of Learning in Higher Education

Author

Galoyan, Tamara, Betts, Kristen, and Fourie, Mariette

Abstract

Institutions of higher education play a critical role in bridging academia and workforce, yet college students find it challenging to transfer their learning across and beyond instructional formats, including online, hybrid, and face-to-face. The goals of this exploratory, sequential, mixed-methods study were to: (1) explore graduate students' conceptualizations of transfer; and (2) examine online pedagogical practices for enhancing transfer. Participants included students enrolled in a full-time online graduate degree program in education at a private university in the Mid-Atlantic USA. Findings from the qualitative phase with seven semi-structured interviews were used to design a survey study with 68 graduate students to explore their perceptions of effective online pedagogical practices for enhancing transfer. This study is significant since its findings revealed a number of online practices that instructional designers and faculty can use to optimize learning and transfer in higher education.

Published
2021

15. Simulation of charmed particle production in Geant4

Author

Galoyan, A., Grichine, V., Ribon, A., and Uzhinsky, V.

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment
Abstract

It is expected that charmed particles will be copiously produced at Future Circular Collider (FCC). Due to relatively large life-time of the particles, it will be needed to account their interactions with surrounded materials and detector's materials. In order to satisfy the requirements, charmed particle production in soft interactions has been implemented in QGS and FTF models of the Geant4 package. Some details of the implementations are considered in the paper., Comment: 5 pages

Published
2022

16. Vaccination in twin pregnancies: comparison between immunization before conception and during pregnancy

Author

Ran Svirsky, Moran Landau Rabbi, Ramzia Abu Hamad, Adi Sharabi-Nov, Nadav Kugler, Narina Galoyan, Nataly Zilberman Sharon, Hamutal Meiri, Ron Maymon, and Osnat Levtzion-Korach

Subjects
BNT162b2 Pfizer/BioNTech vaccination, COV-2-Trimeric S-IgG -b1, Neutralizing antibodies, PCR, SARS-CoV-2, Twin pregnancy, Medicine, Science
Abstract

Abstract To evaluate the development of neutralizing Anti-Spike Protein IgG (Anti-S-IgG) during twin pregnancies before conception vs. during pregnancy. In this prospective study, three blood samples were collected from pregnant women and subjected to anti-S-IgG immunodiagnostics. The patient’s medical records, including vaccination and PCR test results, were collected from the hospital’s electronic database. Age-matched non-pregnant women were used as a control group. We enrolled 83 women with twin pregnancies. 49 women were vaccinated before conception, 21 women were vaccinated during pregnancy, and 13 were not vaccinated. Of the 13 women who weren’t vaccinated, three became positive during pregnancy, and all three were severely ill. By contrast, in women who were vaccinated during or before pregnancy, COVID-19 infection during pregnancy caused only mild symptoms. A ten-fold lower level of neutralizing Anti-S-IgG in the 3rd trimester was observed in healthy women who were vaccinated before conception and remained healthy until discharge from the hospital after delivery 1605 (IQR: 763–2410) compared to the healthy women who were vaccinated during pregnancy 152 AU/mL (IQR: 54–360). This difference was higher among women who were infected by COVID-19 (as verified by a positive PCR test). The third-trimester level of neutralizing Ant-S-IgG in the infected group was 4770 AU/mL (4760–6100) in infected women vaccinated before conception compared to those vaccinated during pregnancy who had 70 AU/mL (IQR: 20–170) (p

Published
2024
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17. Gender-age peculiarities of disability-adjusted life years (DALYs) in tuberculosis in a high-density region: a retrospective cohort study

Author

Z. M. Zagdyn, N. V. Kobesov, M. K. Pagieva, M. D. Vasiliev, and A. S. Galoyan

Subjects
tuberculosis, global burden of disease, dalys, morbidity, mortality, gender, age, Medicine
Abstract

Background. Infections associated with socially significant diseases considerably contribute to a decrease in the quality of public health. Tuberculosis, though declining in Russia, is still recognized as a pressing public health problem. Meanwhile, an assessment of the burden of tuberculosis on society, using such comprehensive methods as measuring disability-adjusted life years, is yet to be investigated in Russia. Objective. To estimate the tuberculosis burden by calculating the index of disability adjusted life years in a high-density region.Methods. The retrospective cohort study involved data on newly-diagnosed and died of tuberculosis cases that corresponded to the annual reporting form of federal statistical surveillance No. 8 “Information on active tuberculosis cases” for the Republic of North Ossetia-Alania; information on patients who died of tuberculosis or tuberculosis combined with infection caused by human immunodeficiency virus, was obtained from the Department of Civil Status Records of the Republic of North Ossetia-Alania and verified with data from the Federal State Statistics Service; data on tuberculosis-associated disability was received from Main Bureau of Medical and Social Expertise in the Republic of North Ossetia-Alania of the Ministry of Labor and Social Protection of the Russian Federation for 2018 and 2022. Following the analytic dataset, 691 people with newly-diagnosed tuberculosis, who received TB-associated disability and died from TB in 2018 (318 people) and 2022 (373 people) were identified. The study involved calculation of gender and age standardized TB morbidity and mortality rates as well as DALY index with its components: Years of Life Lost due to tuberculosis and Years Lost due to Disability. The study involved comparing data between 2018 and 2022 and gender/age-specific indicators within the same year. Mathematical data processing was performed using Microsoft Excel 2017 (Microsoft Corporation, USA) and SPSS 26.0 (SPSS Inc., USA). Differences between the compared indicators were evaluated by Chi-square criterion with variations, the initial data were grouped in a contingency table, the significance of differences was expressed by p-value.Results. The burden of tuberculosis in the Republic of North Ossetia-Alania refers predominantly to the male population: with a gender difference in the decrease in the disability-adjusted life years in 2018 and 2022 by 4.4 and 9.0 times (p < 0.05), respectively; 2.8 times among males, 5.5 times among females (p < 0.05). The burden of tuberculosis is mainly associated with premature mortality due to tuberculosis among males aged 35–54 years and among females aged 35–44 years with a pronounced decrease in Years of Life Lost. Years of Life Lost among males aged 20–34 in 2022 appears two times higher than the cohort average. The increase in Years of Life Lost among males aged 60–64 accounted for 1.7 times, in Years Lost Due to Disability — 11.2 times (p < 0.05). Years Lost Due to Disability among females aged 20–44 years appeared to be the highest, exceeding the cohort average by more than two times in 2018.Conclusion. The burden of tuberculosis is predominantly due to tuberculosis-related premature mortality among the male population. According to the disturbing conclusion, Years of Life Lost among young males aged 20–34 years and tuberculosis-related premature mortality shift towards the male population of pre-retirement age (60–64 years) with an increase in Years Lost Due to Disability among them. Notably, the study reveals high rates of Years Lost Due to Disability among females aged 20–44. The results obtained should be taken into account when developing regional tuberculosis programs with their targeted use in “vulnerable” age and gender groups of the population.

Published
2024
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18. A Survival Analysis of Patients with Recurrent Epithelial Ovarian Cancer Based on Relapse Type: A Multi-Institutional Retrospective Study in Armenia

Author

Lilit Harutyunyan, Evelina Manvelyan, Nune Karapetyan, Samvel Bardakhchyan, Aram Jilavyan, Gevorg Tamamyan, Armen Avagyan, Liana Safaryan, Davit Zohrabyan, Narine Movsisyan, Anna Avinyan, Arevik Galoyan, Mariam Sargsyan, Martin Harutyunyan, Hasmik Nersoyan, Arevik Stepanyan, Armenuhi Galstyan, Samvel Danielyan, Armen Muradyan, and Gagik Jilavyan

Subjects
recurrent ovarian cancer, platinum-sensitive relapse, platinum-resistant relapse, platinum-refractory relapse, targeted therapy, chemotherapy, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Background: Annually, approximately 200 new ovarian cancer cases are diagnosed in Armenia, which is considered an upper-middle-income country. This study aimed to summarize the survival outcomes of patients with relapsed ovarian cancer in Armenia based on the type of recurrence, risk factors, and choice of systemic treatment. Methods: This retrospective case-control study included 228 patients with relapsed ovarian cancer from three different institutions. Results: The median age of the patients was 55. The median follow-up times from relapse and primary diagnosis were 21 and 48 months, respectively. The incidence of platinum-sensitive relapse was 81.6% (186), while platinum-resistant relapse was observed in only 18.4% (42) of patients. The median post-progression survival of the platinum-sensitive group compared to the platinum-resistant group was 54 vs. 25 months (p < 0.001), respectively, while the median survival after relapse was 25 vs. 13 months, respectively; three- and five-year post-progression survival rates in these groups were 31.2% vs. 23.8%, and 15.1% vs. 9.5%, respectively (p = 0.113). Conclusions: Overall, despite new therapeutic approaches, ovarian cancer continues to be one of the deadly malignant diseases affecting women, especially in developing countries with a lack of resources, where chemotherapy remains the primary available systemic treatment for the majority of patients. Low survival rates demonstrate the urgent need for more research focused on this group of patients with poor outcomes.

Published
2024
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19. Geant4 FTF Model Description of the NA61/SHINE Collaboration Data on Strange Particle's Production in pp Interactions

Author

Galoyan, A. and Uzhinsky, V.

Subjects
High Energy Physics - Phenomenology
Abstract

The latest data by the NA61/SHINE collaboration on inclusive distributions of $K^{*0}$ and $\phi$ meson's, $\Xi^-$ and $\bar \Xi^+$ hyperon's production in ${\rm pp}$ interactions at $P_{lab}$ from 40 up to 158 GeV/c are considered. As it was shown before in experimental papers, Monte Carlo models -- EPOS 1.99, UrQMD 3.4 and Pythia 6, cannot describe reasonably well the data. In the presented paper, the yields of the particles are analyzed within the Geant4 FTF model. The meson yields are proportional to the probability of strange quark-antiquark pair production from the vacuum, and the probability to form a vector meson at a given quark-anti-quark content -- $P_{Vec}$. Detailed calculations presented in our paper show that a good description of the data can be reached for $P_{Vec}$ = 0.6 for a meson with one strange quark or antiquark. For a meson contained strange quark and strange antiquark, $P_{Vec}$ = 0.7. For a combination of non-strange quark and antiquark, $P_{Vec}$ = 0.5. The description of the $\Xi^-$ and $\bar \Xi^+$ hyperons requires a change of the diquark fragmentation function into hyperons and a special treatment (rearrangement) of fragmentation of anti-diquark -- diquark strings with low masses., Comment: 5 pages

Published
2022

20. Lung cancer screening beliefs in Armenia.

Author

Chu, Nathan, Tupper, Haley, Galoyan, Tamara, Lulejian, Armine, Dickhoner, James, Hovhannisyan, Marine, and Shekherdimian, Shant

Subjects
Armenia, developing countries, health beliefs, health education, lung cancer, screening, screening barriers, smoking, Prevention, Lung Cancer, Cancer, Lung, Health Services, Clinical Research, 4.3 Influences and impact, Detection, screening and diagnosis, Good Health and Well Being, Oncology and Carcinogenesis
Abstract

IntroductionIn Armenia, an upper-middle income country, 93% of deaths are from non-communicable diseases and over half of the male population smokes. Armenia has more than double the global lung cancer incidence. Over 80% of lung cancer is diagnosed at stages III or IV. However, there is a significant mortality benefit in detecting early-stage lung cancer via screening with low-dose computed tomography.MethodsThis study employed a rigorously-translated, previously-validated survey based on the Expanded Health Belief Model to understand how Armenian male smokers' beliefs would affect lung cancer screening participation.ResultsSurvey responses highlighted key health beliefs that would mediate screening participation. Most respondents felt they were at risk for lung cancer, but over 50% also believed their cancer risk was equivalent to (or less than) non-smokers' risk. Respondents also overwhelmingly agreed a scan could help detect cancer earlier, but fewer agreed early detection could reduce cancer mortality. Important barriers included absence of symptoms and costs of screening and treatment.DiscussionOverall, the potential to reduce lung cancer-related deaths in Armenia is high, but there are a number of central health beliefs and barriers that would limit screening uptake and effectiveness. Improved health education, careful consideration of socioeconomic screening barriers, and appropriate screening recommendations may be useful in overcoming these beliefs.

Published
2023

22. Offline Software and Computing for the SPD experiment

Author

Andreev, V., Belova, A., Galoyan, A., Gerassimov, S., Golovanov, G., Goncharov, P., Gribowsky, A., Maletic, D., Maltsev, A., Nikolskaya, A., Oleynik, D., Ososkov, G., Petrosyan, A., Rezvaya, E., Shchavelev, E., Tkachenko, A., Uzhinsky, V., Verkheev, A., and Zhemchugov, A.

Subjects
Physics - Instrumentation and Detectors
Abstract

The SPD (Spin Physics Detector) is a planned spin physics experiment in the second interaction point of the NICA collider that is under construction at JINR. The main goal of the experiment is the test of basic of the QCD via the study of the polarized structure of the nucleon and spin-related phenomena in the collision of longitudinally and transversely polarized protons and deuterons at the center-of-mass energy up to 27 GeV and luminosity up to $10^{32}$ 1/(cm$^2$ s). The data rate at the maximum design luminosity is expected to reach 0.2 Tbit/s. Current approaches to SPD computing and offline software will be presented. The plan of the computing and software R&D in the scope of the SPD TDR preparation will be discussed., Comment: arXiv admin note: substantial text overlap with arXiv:2102.00442

Published
2021

27. Geant4 FTF model description of the latest data by the NA61/SHINE collaboration on ${\rm ^{40}Ar+{}^{45}Sc}$ interactions

Author

Galoyan, A., Ribon, A., and Uzhinsky, V.

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment, Nuclear Experiment
Abstract

It is shown that the Geant4 FTF model, which does not include the simulation of the hard parton-parton scattering and the formation of the quark-gluon plasma (QGP), describes well the NA61/SHINE data on $\pi^-$ meson distributions for the interactions at $\sqrt{s_{NN}}=$ 5.2, 6.1, 7.6 and 8.8 GeV. At higher energies, $\sqrt{s_{NN}}=$ 11.9 and 16.8 GeV, the model underestimates the data. This is considered as an indication of the formation of QGP at higher energies in central collisions of light and intermediate nuclei than in collisions of heavy nuclei ($\sqrt{s_{NN}}\sim 6$ GeV)., Comment: 5 pages, 2 figures

Published
2021
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28. Possible studies at the first stage of the NICA collider operation with polarized and unpolarized proton and deuteron beams

Author

Abramov, V. V., Aleshko, A., Baskov, V. A., Boos, E., Bunichev, V., Dalkarov, O. D., El-Kholy, R., Galoyan, A., Guskov, A. V., Kim, V. T., Kokoulina, E., Koop, I. A., Kostenko, B. F., Kovalenko, A. D., Ladygin, V. P., Larionov, A. B., L'vov, A. I., Milstein, A. I., Nikitin, V. A., Nikolaev, N. N., Popov, A. S., Polyanskiy, V. V., Richard, J. -M., Salnikov, S. G., Shavrin, A. A., Shatunov, P. Yu., Shatunov, Yu. M., Selyugin, O. V., Strikman, M., Tomasi-Gustafsson, E., Uzhinsky, V. V., Uzikov, Yu. N., Wang, Q., Zhao, Q., and Zelenov, A. V.

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment
Abstract

This paper contains suggestions for experiments with usage of the Spin Physics Detector (SPD) at the first stage of the SPD NICA Programme developing at JINR. Double polarized pp-, dd- and pd- collisions at c.m.s. NN energies of 3.4-10 GeV, which will be accessible at the initial stage of experiments, allow one to study spin dependence of the NN interaction, search for multiquark states at double strangeness, charm and beauty thresholds, study the short-range structure of the deuteron. Double polarized pd scattering offer a possibility to test the Standard Model through the search for T-invariance violation., Comment: 140 pages, 44 figures, prepared for Physics of Elementary Particles and Atomic Nuclei

Published
2021
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29. Conceptual design of the Spin Physics Detector

Author

Abazov, V. M., Abramov, V., Afanasyev, L. G., Akhunzyanov, R. R., Akindinov, A. V., Akopov, N., Alekseev, I. G., Aleshko, A. M., Alexakhin, V. Yu., Alexeev, G. D., Alexeev, M., Amoroso, A., Anikin, I. V., Andreev, V. F., Anosov, V. A., Arbuzov, A. B., Azorskiy, N. I., Baldin, A. A., Balandina, V. V., Baldina, E. G., Barabanov, M. Yu., Barsov, S. G., Baskov, V. A., Beloborodov, A. N., Belov, I. N., Belova, A. P., Belyaev, A. V., Berdnikov, A. Ya., Berdnikov, Ya. A., Berezhnoy, A. V., Bleko, V. V., Bobkov, A. V., Bogoslovsky, D. N., Boguslavsky, I. N., Boltushkin, E. V., Boos, E. E., Burtsev, V. E., Chen, Lei, Chepurnov, A. S., Chiosso, M., Chumakov, A., Dalkarov, O. D., Datta, A., Demikhov, E. I., Denisenko, I. I., Denisov, O. Yu., Duginov, V. N., Dunin, V. B., Dygnarowicz, K., Efremov, A. V., El-Kholy, R., Eliseev, D. A., Enik, T. L., Fedin, O. L., Feofilov, G. A., Filatov, Yu. N., Finger, M., Frolov, V. N., Galinski, G., Galoyan, A. S., Trapaga, C. E Garsia, Gavrishchuk, O. P., Gerasimov, S. G., Glonti, L., Goloskokov, S. V., Golovanov, G. A., Golubev, A. A., M., Golubykh S., V., Goncharov P., O., Grafov N., Y., Gribkov D., Gribovsky, A. S., Gridin, A. O., Grinyov, B. V., Gritsay, K. I., Gromov, S. A., Gromov, V. A., Gurchin, Yu. V., Gusakov, Yu. V., Guskov, A. V., Guzman, F., Haidenbauer, J., Havranek, M., Ivanov, A. V., Ivanov, N. Ya., Isupov, A. Yu., Jary, V., Jia, Shi-Hai, Jokovic, D., Kaplii, A., Karpishkov, A. V., Kasianova, E. A., Kekelidze, G. D., Khabarov, S. V., Kharusov, P. R., Khrenov, A. N., Kim, V. T., Kirichkov, N. V., Kirin, D. Yu., Kishchin, I., Klekotko, A., Klopot, Ya., Kluev, A., Kokoulina, E. S., Komarov, V. I., Kondratenko, A. M., Kondratenko, M. A., Konorov, I., Kopylov, Yu. A., Korjik, M. V., Korovkin, P. S., Korzenev, A. Yu., Kostukov, E. V., Kotzinian, A., Kovalenko, A. D., Kovalenko, V. N., A., Kozhin M., Kramarenko, V. A., Kruglov, V. N., Kubankin, A., Kubankin, Yu., Kuleshov, S., Kovtun, V. E., Kulikov, A. V., Kurbatov, V. S., Kurjata, R., Kutuzov, S. A., Kuznetsova, E. V., Ladygin, E. A., Ladygin, V. P., Larionova, D. M., Lednicky, D., Lednicky, R., Li, Pei-Yu, Li, Xiao-Mei, Lobko, A. S., Luschevskaya, E., L'vov, A. I., Lyashchenko, V. N., Lysan, V. M., Lyubovitskij, V., Maggiora, A., Maleev, V. P., Maltsev, A., Malykhina, T. V., Makankin, A. M., Makarenko, V. V., Maletic, D., Malkevich, D. B., Marcisovsky, M., Martovitsky, E. V., Marzec, J., Merkin, M. M., Meshcheriakov, G. V., Mitrankov, Yu. M., Mitrankova, M. M., Mitrofanov, E. O., Morozov, B., Moshkovsky, I. V., Movsisyan, A., Nagorniy, S. N., Nechaeva, P. Yu., Nefedov, M. A., Nefedov, Yu. A., Negodaev, M. A., Neue, G., Nikiforov, D. N., Nikitin, V. A., Nikolaev, A. S., Oleynik, D. A., Ososkov, G. A., Panzieri, D., Parsamyan, B., Parzhitsky, S. S., Pastuszak, G., Pavlov, V. V., Pavlova, A. A., Pelevanyuk, I. S., Perepelkin, E. E., Peshekhonov, D. V., Petrosyan, A. Sh., Piskun, A. A., Plotnikov, V. V., Podgainy, D. V., Polozov, P., Polyakova, R. V., Polyansky, V. V., Popov, V. V., Popule, J., Prochazka, I., Prokhorov, I. K., Reva, S. N., Reznikov, S. G., Rezvaya, E. P., Richard, J. -M., Rogachevsky, O. V., Romanov, V. M., Rudenko, A. I., Rumyantsev, M. A., Rusinov, V., Rybakov, N. A., Rychter, A., Rymbekova, A., Safonov, A. B., Salamatin, K. M., Saleev, V. A., Samartsev, A. G., Savenkov, A. A., Savic, M., Semak, A. A., Shaikovsky, V. N., Shavrin, A. A., Sheremeteva, A. I., Shimanskii, S. S., Shipilova, A. V., Shtejer, K., Shulyakovsky, R., Sinitsa, A. A., Skachkov, N. B., Skachkova, A. N., Slunecka, M., Sluneckova, V., Solin, A. A., Solin, A. V., Song, Jin-Xin, Sotnikov, V. V., Sun, Peng-Fei, Starikova, S. Yu., Stavinskiy, A. V., Streletskaya, E. A., Strikman, M., Strusik-Kotlozh, D., Suchkov, S. I., Sultanov, R. I., Sun, Hao, Svirida, D. N., Tarasov, O. G., Tarkovskyi, E. I., Temerbayev, A., Terekhin, A. A., V., Tereschenko V., R., Terkulov A., V., Teryaev O., V., Tishevsky A., V., Tkachenko A., Tokmenin, A. A. V. V., Tomasek, L., Tomasi-Gustafsson, E., Topchiev, N. P., Topilin, N. D., Topko, B. L., Tosello, F., Trifonov, A., Troyan., Yu. A., Trunov, N. O., Tsenov, R., Usenko, E. A., Uzhinsky, V. V., Uzikov, Yu. N., Valiev, F. F., Vasilieva, E. V., Vechernin, V. V., Verkheev, A. Yu., Vertogradov, L. S., Vertogradova, Yu. L., Vesenkov, V. A., Virius, M., Volchansky, N. I., Volkov, I. S., Volkov, P. V., Vorobiev, A., Vrba, V., Wang, Qian, Yudin, I. P., Zamora, J., Zamyatin, N. I., Zaremba, K., Zelenov, A. V., Zemlyanichkina, E. V., Zhang, Yun-Yu, Zhang, Jun-Wei, Zhao, Ming-Rui, Zhao, Qiang, Zhi, Yu, Zhemchugov, A. S., Zhevlakov, A., Zhigareva, N. M., Zhmurin, P. N., Zhukov, I. A., Zhuravlev., N. I, Ziembicki, M., Zinin, A. V., Zubarev, E. V., and Zuev, M. I.

Subjects
High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

The Spin Physics Detector, a universal facility for studying the nucleon spin structure and other spin-related phenomena with polarized proton and deuteron beams, is proposed to be placed in one of the two interaction points of the NICA collider that is under construction at the Joint Institute for Nuclear Research (Dubna, Russia). At the heart of the project there is huge experience with polarized beams at JINR. The main objective of the proposed experiment is the comprehensive study of the unpolarized and polarized gluon content of the nucleon. Spin measurements at the Spin Physics Detector at the NICA collider have bright perspectives to make a unique contribution and challenge our understanding of the spin structure of the nucleon. In this document the Conceptual Design of the Spin Physics Detector is presented.

Published
2021

30. PANDA Phase One

Author

Barucca, G., Davì, F., Lancioni, G., Mengucci, P., Montalto, L., Natali, P. P., Paone, N., Rinaldi, D., Scalise, L., Krusche, B., Steinacher, M., Liu, Z., Liu, C., Liu, B., Shen, X., Sun, S., Zhao, G., Zhao, J., Albrecht, M., Alkakhi, W., Bökelmann, S., Coen, S., Feldbauer, F., Fink, M., Frech, J., Freudenreich, V., Fritsch, M., Grochowski, J., Hagdorn, R., Heinsius, F. H., Held, T., Holtmann, T., Keshk, I., Koch, H., Kopf, B., Kümmel, M., Küßner, M., Li, J., Linzen, L., Maldaner, S., Oppotsch, J., Pankonin, S., Pelizäus, M., Pflüger, S., Reher, J., Reicherz, G., Schnier, C., Steinke, M., Triffterer, T., Wenzel, C., Wiedner, U., Denizli, H., Er, N., Keskin, U., Yerlikaya, S., Yilmaz, A., Beck, R., Chauhan, V., Hammann, C., Hartmann, J., Ketzer, B., Müllers, J., Salisbury, B., Schmidt, C., Thoma, U., Urban, M., Bianconi, A., Bragadireanu, M., Pantea, D., Rimjaem, S., Domagala, M., Filo, G., Lisowski, E., Lisowski, F., Michałek, M., Poznański, P., Płażek, J., Korcyl, K., Lebiedowicz, P., Pysz, K., Schäfer, W., Szczurek, A., Firlej, M., Fiutowski, T., Idzik, M., Moron, J., Swientek, K., Terlecki, P., Korcyl, G., Lalik, R., Malige, A., Moskal, P., Nowakowski, K., Przygoda, W., Rathod, N., Salabura, P., Smyrski, J., Augustin, I., Böhm, R., Lehmann, I., Schmitt, L., Varentsov, V., Al-Turany, M., Belias, A., Deppe, H., Dzhygadlo, R., Flemming, H., Gerhardt, A., Götzen, K., Heinz, A., Jiang, P., Karabowicz, R., Koch, S., Kurilla, U., Lehmann, D., Lühning, J., Lynen, U., Orth, H., Peters, K., Ritman, J., Schepers, G., Schmidt, C. J., Schwarz, C., Schwiening, J., Täschner, A., Traxler, M., Voss, B., Wieczorek, P., Abazov, V., Alexeev, G., Barabanov, M. Yu., Dodokhov, V. Kh., Efremov, A., Fechtchenko, A., Galoyan, A., Golovanov, G., Koshurnikov, E. K., Lobanov, Y. Yu., Olshevskiy, A. G., Piskun, A. A., Samartsev, A., Shimanski, S., Skachkov, N. B., Skachkova, A. N., Strokovsky, E. A., Tokmenin, V., Uzhinsky, V., Verkheev, A., Vodopianov, A., Zhuravlev, N. I., Watts, D., Böhm, M., Eyrich, W., Lehmann, A., Miehling, D., Pfaffinger, M., Seth, K., Xiao, T., Ali, A., Hamdi, A., Himmelreich, M., Krebs, M., Nakhoul, S., Nerling, F., Gianotti, P., Lucherini, V., Bracco, G., Bodenschatz, S., Brinkmann, K. T., Brück, L., Diehl, S., Dormenev, V., Düren, M., Erlen, T., Hahn, C., Hayrapetyan, A., Hofmann, J., Kegel, S., Khalid, F., Köseoglu, I., Kripko, A., Kühn, W., Metag, V., Moritz, M., Nanova, M., Novotny, R., Orsich, P., Pereira-de-Lira, J., Sachs, M., Schmidt, M., Schubert, R., Strickert, M., Wasem, T., Zaunick, H. G., Tomasi-Gustafsson, E., Glazier, D., Ireland, D., Seitz, B., Kappert, R., Kavatsyuk, M., Loehner, H., Messchendorp, J., Rodin, V., Kalita, K., Huang, G., Liu, D., Peng, H., Qi, H., Sun, Y., Zhou, X., Kunze, M., Azizi, K., Olgun, A. T., Tavukoglu, Z., Derichs, A., Dosdall, R., Esmail, W., Gillitzer, A., Goldenbaum, F., Grunwald, D., Jokhovets, L., Kannika, J., Kulessa, P., Orfanitski, S., Perez-Andrade, G., Prasuhn, D., Prencipe, E., Pütz, J., Rosenthal, E., Schadmand, S., Schmitz, R., Scholl, A., Sefzick, T., Serdyuk, V., Stockmanns, T., Veretennikov, D., Wintz, P., Wüstner, P., Xu, H., Zhou, Y., Cao, X., Hu, Q., Liang, Y., Rigato, V., Isaksson, L., Achenbach, P., Corell, O., Denig, A., Distler, M., Hoek, M., Lauth, W., Leithoff, H. H., Merkel, H., Müller, U., Petersen, J., Pochodzalla, J., Schlimme, S., Sfienti, C., Thiel, M., Bleser, S., Bölting, M., Capozza, L., Dbeyssi, A., Ehret, A., Klasen, R., Kliemt, R., Maas, F., Motzko, C., Noll, O., Piñeiro, D. Rodríguez, Schupp, F., Steinen, M., Wolff, S., Zimmermann, I., Kazlou, D., Korzhik, M., Missevitch, O., Balanutsa, P., Chernetsky, V., Demekhin, A., Dolgolenko, A., Fedorets, P., Gerasimov, A., Golubev, A., Kantsyrev, A., Kirin, D. Y., Kristi, N., Ladygina, E., Luschevskaya, E., Matveev, V. A., Panjushkin, V., Stavinskiy, A. V., Balashoff, A., Boukharov, A., Bukharova, M., Malyshev, O., Vishnevsky, E., Bonaventura, D., Brand, P., Hetz, B., Hüsken, N., Kellers, J., Khoukaz, A., Klostermann, D., Mannweiler, C., Vestrick, S., Bumrungkoh, D., Herold, C., Khosonthongkee, K., Kobdaj, C., Limphirat, A., Manasatitpong, K., Nasawad, T., Pongampai, S., Simantathammakul, T., Srisawad, P., Wongprachanukul, N., Yan, Y., Yu, C., Zhang, X., Zhu, W., Antokhin, E., Barnyakov, A. Yu., Beloborodov, K., Blinov, V. E., Kuyanov, I. A., Pivovarov, S., Pyata, E., Tikhonov, Y., Blinov, A. E., Kononov, S., Kravchenko, E. A., Lattery, M., Boca, G., Duda, D., Finger, M., Finger, Jr., M., Kveton, A., Prochazka, I., Slunecka, M., Volf, M., Jary, V., Korchak, O., Marcisovsky, M., Neue, G., Novy, J., Tomasek, L., Tomasek, M., Virius, M., Vrba, V., Abramov, V., Bukreeva, S., Chernichenko, S., Derevschikov, A., Ferapontov, V., Goncharenko, Y., Levin, A., Maslova, E., Melnik, Y., Meschanin, A., Minaev, N., Mochalov, V., Moiseev, V., Morozov, D., Nogach, L., Poslavskiy, S., Ryazantsev, A., Ryzhikov, S., Semenov, P., Shein, I., Uzunian, A., Vasiliev, A., Yakutin, A., Belostotski, S., Fedotov, G., Izotov, A., Manaenkov, S., Miklukho, O., Cederwall, B., Preston, M., Tegner, P. E., Wölbing, D., Gandhi, K., Rai, A. K., Godre, S., Crede, V., Dobbs, S., Eugenio, P., Bussa, M. P., Spataro, S., Calvo, D., De Remigis, P., Filippi, A., Mazza, G., Wheadon, R., Iazzi, F., Lavagno, A., Akram, A., Calen, H., Andersson, W. Ikegami, Johansson, T., Kupsc, A., Marciniewski, P., Papenbrock, M., Regina, J., Rieger, J., Schönning, K., Wolke, M., Chlopik, A., Kesik, G., Melnychuk, D., Tarasiuk, J., Wojciechowski, M., Wronka, S., Zwieglinski, B., Amsler, C., Bühler, P., Marton, J., Zimmermann, S., Fischer, C. S., Haidenbauer, J., Hanhart, C., Lutz, M. F. M., and Ryan, Sinéad M.

Subjects
High Energy Physics - Experiment, Nuclear Experiment
Abstract

The Facility for Antiproton and Ion Research (FAIR) in Darmstadt, Germany, provides unique possibilities for a new generation of hadron-, nuclear- and atomic physics experiments. The future antiProton ANnihilations at DArmstadt (PANDA or $\overline{\rm P}$ANDA) experiment at FAIR will offer a broad physics programme, covering different aspects of the strong interaction. Understanding the latter in the non-perturbative regime remains one of the greatest challenges in contemporary physics. The antiproton-nucleon interaction studied with PANDA provides crucial tests in this area. Furthermore, the high-intensity, low-energy domain of PANDA allows for searches for physics beyond the Standard Model, e.g. through high precision symmetry tests. This paper takes into account a staged approach for the detector setup and for the delivered luminosity from the accelerator. The available detector setup at the time of the delivery of the first antiproton beams in the HESR storage ring is referred to as the \textit{Phase One} setup. The physics programme that is achievable during Phase One is outlined in this paper., Comment: 35 pages, 15 figures

Published
2021
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32. International Report: Neuromyths and Evidence-Based Practices in Higher Education

Author

Online Learning Consortium (OLC), Betts, Kristen, Miller, Michelle, Tokuhama-Espinosa, Tracey, Shewokis, Patricia A., Anderson, Alida, Borja, Cynthia, Galoyan, Tamara, Delaney, Brian, Eigenauer, John D., and Dekker, Sanne

Abstract

Neuromyths are false beliefs, often associated with teaching and learning, that stem from misconceptions or misunderstandings about brain function. While belief in neuromyths has been established as prevalent among the general public and K-12 teachers, literature about neuromyth belief among higher education professionals (instructors, instructional designers, and administrators) has not been well-researched. This international study examined: (1) Awareness of neuromyths and general knowledge about the brain among higher education professionals across institutional types, course delivery modes, roles, and a variety of characteristics such as demographics, teaching experience, and level of education; (2) Awareness of evidence-based practices from the learning sciences and Mind (psychology), Brain (neuroscience), and Education (pedagogy and didactics; MBE) science among higher education professionals; (3) Predictors of awareness of neuromyths, general knowledge about the brain, and evidence-based practices among higher education professionals; and (4) Interest among instructors, instructional designers, and administrators in scientific knowledge about the brain and its influence on learning. This study includes not only answers to important research questions, but practice-oriented information that is useful for pedagogy, course design, and leadership, as well as for further research on this topic.

Published
2019

33. Towards Study of Two-Particle PT Correlations in Hadronic Interactions at NICA

Author

Aida Galoyan, Alberto Ribon, and Vladimir Uzhinsky

Subjects
multiparticle production, hadronic interactions, high energy collisions, soft particle production, Monte Carlo event generators, Physics, QC1-999
Abstract

A new method for studying two-particle transverse momentum (PT) correlations in soft hadronic interactions is proposed. It is shown that Monte Carlo models: PYTHIA 6 and Geant4 FTF (FRITIOF), give different predictions for the correlations in proton–proton interactions. The correlations are connected with Schwinger’s mechanism of particle creation. These correlations can be studied in current and future experiments in high energy physics, in particular, at the Nuclotron-based Ion Collider fAcility (NICA).

Published
2023
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34. Technical Design Report for the PANDA Endcap Disc DIRC

Author

Panda Collaboration, Davi, F., Erni, W., Krusche, B., Steinacher, M., Walford, N., Liu, H., Liu, Z., Liu, B., Shen, X., Wang, C., Zhao, J., Albrecht, M., Erlen, T., Feldbauer, F., Fink, M., Freudenreich, V., Fritsch, M., Heinsius, F. H., Held, T., Holtmann, T., Keshk, I., Koch, H., Kopf, B., Kuhlmann, M., Kümmel, M., Leiber, S., Musiol, P., Mustafa, A., Pelizäus, M., Pitka, A., Reicherz, G., Richter, M., Schnier, C., Schröder, T., Sersin, S., Sohl, L., Sowa, C., Steinke, M., Triffterer, T., Wiedner, U., Beck, R., Hammann, C., Hartmann, J., Ketzer, B., Kube, M., Rossbach, M., Schmidt, C., Schmitz, R., Thoma, U., Urban, M., Bianconi, A., Bragadireanu, M., Pantea, D., Czyzycki, W., Domagala, M., Filo, G., Jaworowski, J., Krawczyk, M., Lisowski, E., Lisowski, F., Michalek, M., Plazek, J., Korcyl, K., Kozela, A., Kulessa, P., Lebiedowicz, P., Pysz, K., Schäfer, W., Szczurek, A., Fiutowski, T., Idzik, M., Mindur, B., Swientek, K., Biernat, J., Kamys, B., Kistryn, S., Korcyl, G., Krzemien, W., Magiera, A., Moskal, P., Przygoda, W., Rudy, Z., Salabura, P., Smyrski, J., Strzempek, P., Wronska, A., Augustin, I., Böhm, R., Lehmann, I., Marinescu, D. Nicmorus, Schmitt, L., Varentsov, V., Al-Turany, M., Belias, A., Deppe, H., Veis, N. Divani, Dzhygadlo, R., Flemming, H., Gerhardt, A., Götzen, K., Karabowicz, R., Kurilla, U., Lehmann, D., Löchner, S., Lühning, J., Lynen, U., Nakhoul, S., Orth, H., Peters, K., Saito, T., Schepers, G., Schmidt, C. J., Schwarz, C., Schwiening, J., Täschner, A., Traxler, M., Voss, B., Wieczorek, P., Wilms, A., Abazov, V., Alexeev, G., Arefiev, V. A., Astakhov, V., Barabanov, M. Yu., Batyunya, B. V., Dodokhov, V. Kh., Efremov, A., Fechtchenko, A., Galoyan, A., Golovanov, G., Koshurnikov, E. K., Lobanov, Y. Yu., Lobanov, V. I., Malyshev, V., Olshevskiy, A. G., Piskun, A. A., Samartsev, A., Sapozhnikov, M. G., Skachkov, N. B., Skachkova, A. N., Strokovsky, E. A., Tokmenin, V., Uzhinsky, V., Verkheev, A., Vodopianov, A., Zhuravlev, N. I., Zinchenko, A., Branford, D., Glazier, D., Watts, D., Böhm, M., Eyrich, W., Lehmann, A., Miehling, D., Pfaffinger, M., Stelter, S., Uhlig, F., Dobbs, S., Seth, K., Tomaradze, A., Xiao, T., Bettoni, D., Ali, A., Hamdi, A., Krebs, M., Nerling, F., Akishina, V., Gorbunov, S., Kisel, I., Kozlov, G., Pugach, M., Zyzak, M., Bianchi, N., Gianotti, P., Guaraldo, C., Lucherini, V., Bracco, G., Bodenschatz, S., Brinkmann, K. T., Di Pietro, V., Diehl, S., Dormenev, V., Düren, M., Etzelmüller, E., Föhl, K., Galuska, M., Geßler, T., Gutz, E., Hahn, C., Hayrapetyan, A., Kesselkaul, M., Kühn, W., Kuske, T., Lange, J. S., Liang, Y., Metag, V., Moritz, M., Nanova, M., Novotny, R., Quagli, T., Riccardi, A., Rieke, J., Schmidt, M., Schnell, R., Stenzel, H., Strickert, M., Thöring, U., Wasem, T., Wohlfahrt, B., Zaunick, H. G., Tomasi-Gustafsson, E., Ireland, D., Rosner, G., Seitz, B., Deepak, P. N., Kulkarni, A., Apostolou, A., Babai, M., Kavatsyuk, M., Loehner, H., Messchendorp, J., Schakel, P., Tiemens, M., van der Weele, J. C., Vejdani, S., Dutta, K., Kalita, K., Sohlbach, H., Bai, M., Bianchi, L., Büscher, M., Derichs, A., Dosdall, R., Erven, A., Fracassi, V., Gillitzer, A., Goldenbaum, F., Grunwald, D., Jokhovets, L., Kemmerling, G., Kleines, H., Lai, A., Lehrach, A., Mikirtychyants, M., Orfanitski, S., Prasuhn, D., Prencipe, E., Pütz, J., Ritman, J., Rosenthal, E., Schadmand, S., Sefzick, T., Serdyuk, V., Sterzenbach, G., Stockmanns, T., Wintz, P., Wüstner, P., Xu, H., Zhou, Y., Li, Z., Ma, X., Rigato, V., Isaksson, L., Achenbach, P., Aycock, A., Corell, O., Denig, A., Distler, M., Hoek, M., Lauth, W., Merkel, H., Müller, U., Pochodzalla, J., Sanchez, S., Schlimme, S., Sfienti, C., Thiel, M., Zambrana, M., Ahmadi, H., Ahmed, S., Bleser, S., Capozza, L., Cardinali, M., Dbeyssi, A., Ehret, A., Fröhlich, B., Grasemann, P., Haasler, S., Izard, D., Jorge, J., Khaneft, D., Klasen, R., Kliemt, R., Köhler, J., Leithoff, H. H., Lin, D., Maas, F., Maldaner, S., Michel, M., Espi, M. C. Mora, Morales, C. Morales, Motzko, C., Noll, O., Pflüger, S., Pineiro, D. Rodriguez, Steinen, M., Walaa, E., Wolff, S., Zimmermann, I., Fedorov, A., Korzhik, M., Missevitch, O., Balanutsa, P., Chernetsky, V., Demekhin, A., Dolgolenko, A., Fedorets, P., Gerasimov, A., Goryachev, V., Kirin, D. Y., Matveev, V. A., Stavinskiy, A. V., Balashoff, A., Boukharov, A., Malyshev, O., Marishev, I., Chandratre, V., Datar, V., Jha, V., Kumawat, H., Mohanty, A. K., Parmar, A., Rai, A. K., Roy, B., Sonika, G., Fritzsch, C., Grieser, S., Hergemöller, A. K., Hetz, B., Hüsken, N., Khoukaz, A., Wessels, J. P., Herold, C., Khosonthongkee, K., Kobdaj, C., Limphirat, A., Srisawad, P., Yan, Y., Blinov, A. E., Kononov, S., Kravchenko, E. A., Antokhin, E., Barnyakov, M., Barnyakov, A. Yu., Beloborodov, K., Blinov, V. E., Bobrovnikov, V. S., Kuyanov, I. A., Onuchin, A. P., Pivovarov, S., Pyata, E., Serednyakov, S., Tikhonov, Y., Kunne, R., Marchand, D., Ramstein, B., van de Wiele, J., Wang, Y., Boca, G., Burian, V., Finger, M., Nikolovova, A., Pesek, M., Peskova, M., Pfeffer, M., Prochazka, I., Slunecka, M., Gallus, P., Jary, V., Novy, J., Tomasek, M., Virius, M., Vrba, V., Abramov, V., Belikov, N., Bukreeva, S., Davidenko, A., Derevschikov, A., Goncharenko, Y., Grishin, V., Kachanov, V., Kormilitsin, V., Levin, A., Melnik, Y., Minaev, N., Mochalov, V., Morozov, D., Nogach, L., Poslavskiy, S., Ryazantsev, A., Ryzhikov, S., Semenov, P., Shein, I., Uzunian, A., Vasiliev, A., Yakutin, A., Roy, U., Yabsley, B., Belostotski, S., Gavrilov, G., Izotov, A., Manaenkov, S., Miklukho, O., Veretennikov, D., Zhdanov, A., Bäck, T., Cederwall, B., Makonyi, K., Preston, M., Tegner, P. E., Wölbing, D., Godre, S., Bussa, M. P., Marcello, S., Spataro, S., Iazzi, F., Introzzi, R., Lavagno, A., Calvo, D., De Remigis, P., Filippi, A., Mazza, G., Rivetti, A., Wheadon, R., Martin, A., Calen, H., Andersson, W. Ikegami, Johansson, T., Kupsc, A., Marciniewski, P., Papenbrock, M., Pettersson, J., Regina, J., Schönning, K., Wolke, M., Diaz, J., Chackara, V. Pothodi, Chlopik, A., Kesik, G., Melnychuk, D., Slowinski, B., Trzcinski, A., Wojciechowski, M., Wronka, S., Zwieglinski, B., Bühler, P., Marton, J., Steinschaden, D., Suzuki, K., Widmann, E., Zimmermann, S., and Zmeskal, J.

Subjects
Physics - Instrumentation and Detectors
Abstract

PANDA (anti-Proton ANnihiliation at DArmstadt) is planned to be one of the four main experiments at the future international accelerator complex FAIR (Facility for Antiproton and Ion Research) in Darmstadt, Germany. It is going to address fundamental questions of hadron physics and quantum chromodynamics using cooled antiproton beams with a high intensity and and momenta between 1.5 and 15 GeV/c. PANDA is designed to reach a maximum luminosity of 2x10^32 cm^2 s. Most of the physics programs require an excellent particle identification (PID). The PID of hadronic states at the forward endcap of the target spectrometer will be done by a fast and compact Cherenkov detector that uses the detection of internally reflected Cherenkov light (DIRC) principle. It is designed to cover the polar angle range from 5{\deg} to 22{\deg} and to provide a separation power for the separation of charged pions and kaons up to 3 standard deviations (s.d.) for particle momenta up to 4 GeV/c in order to cover the important particle phase space. This document describes the technical design and the expected performance of the novel PANDA Disc DIRC detector that has not been used in any other high energy physics experiment (HEP) before. The performance has been studied with Monte-Carlo simulations and various beam tests at DESY and CERN. The final design meets all PANDA requirements and guarantees suffcient safety margins., Comment: TDR for Panda/Fair to be published

Published
2019

35. Synthesis of micropaleontological age constraints for the reconstruction of the Tethyan realm in the Lesser Caucasus (Armenia, Karabagh)

Author

Danelian, Taniel, Triantaphyllou, Maria, Seyler, Monique, Galoyan, Ghazar, Grigoryan, Arayik, and Sosson, Marc

Subjects
Micropaleontology, Radiolaria, Ophiolite, Tethys, Armenia, Lesser Caucasus, Geophysics. Cosmic physics, QC801-809, Chemistry, QD1-999, Geology, QE1-996.5
Abstract

We present new biostratigraphic results from two ophiolite outcrops in Armenia. The discovery of upper Tithonian–lower Berriasian diagnostic radiolarian species (Vallupus gracilis Li and Sashida) in the lower radiolarites of the Dali section allows to date more accurately submarine lava eruptions of transitional to alkaline composition. The radiolarian results also indicate that blocks of shallow-water carbonates slid into the basin during this time interval. At Vedi, upper Coniacian–Santonian calcareous nannofossils identified in marls of the post-obduction sedimentary cover refine previous age data. Synthesis of the existing bio-chronostratigraphic constraints in Armenia and Karabagh sheds light to the depositional and magmatic history of Tethys in the Lesser Caucasus and highlights the age constraints of fossils on the timing of ophiolite obduction in the region.

Published
2023
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37. How Do Interdisciplinary Teams Co-Construct Instructional Materials Emphasising Both Science and Engineering Practices?

Author

Galoyan, Tamara and Songer, Nancy Butler

Abstract

To build a sustainable future, science and engineering education programmes should emphasise scientific investigation, collaboration across traditional science topics and disciplines, and engineering design, including design and evaluation of solutions. While some research studies articulate the shifts that are needed to realise classroom learning emphasizing investigation and design, fewer research studies help us to understand how we co-design these instructional programmes, including how experts from different essential disciplines collaborate towards an interdisciplinary instructional programme. We adopted a qualitative case study design to address the research question, "What is the process of team co-construction of instructional materials that emphasize learning through both science investigation and engineering design?" The paper outlines the first year of our team co-construction activities involving the design, implementation, and evaluation of instructional materials for secondary science. Qualitative data included semi-structured interviews with nine team members and documentation in form of researcher field notes and learning artefacts. Two cycles of coding resulted in five major themes that served as the basis for the five-phase model of team co-construction of instructional materials. This study provides information on the kinds of partnerships and collaboration needed to realise instructional programmes for students' study of the interdisciplinary STEM-based challenges of tomorrow.

Published
2022
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40. THE IMPACT OF THE RUSSIAN-UKRAINIAN CONFLICT ON ARMENIA'S FOREIGN TRADE: A QUANTITATIVE ANALYSIS

Author

Diana Galoyan and Diana Matevosyan

Subjects
Armenia, Foreign Trade, Russian-Ukrainian Conflict, Trend Analysis, Approximation, Forecasting, Political theory, JC11-607, Law
Abstract

This article aimed to provide a quantitative assessment of the impact of the Russian-Ukrainian conflict on Armenia’s foreign trade. The research problem was to analyze how the conflict influenced Armenia’s export and import patterns regarding geographical directions and product structure. The objectives were to examine the changes in trade turnover and identify shifts in geographical trade directions and trade structure. The study employed various statistical analysis tools, including dynamic series indicators, structural analysis, time series modeling, trend and moving average approximation, and extrapolation. Through these methods, the study evaluated the effects of the conflict on Armenia’s foreign trade. The key results indicated a positive impact of the conflict on trade turnover, with increased trade activity in various geographical directions. Export diversification was also observed as a result of the conflict. Notably, re-export played a significant role in the unprecedented growth of Armenia’s trade turnover during this period. In conclusion, the findings suggest that the Russian-Ukrainian conflict had a discernible influence on Armenia’s foreign trade, leading to changes in trade patterns and increased trade activity. The study highlights the importance of the re-exports role in analyzing trade dynamics.

Published
2023
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41. Lung cancer screening beliefs in Armenia

Author

Nathan Chu, Haley Tupper, Tamara Galoyan, Armine Lulejian, James Dickhoner, Marine Hovhannisyan, and Shant Shekherdimian

Subjects
lung cancer, screening, health beliefs, Armenia, developing countries, smoking, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

IntroductionIn Armenia, an upper-middle income country, 93% of deaths are from non-communicable diseases and over half of the male population smokes. Armenia has more than double the global lung cancer incidence. Over 80% of lung cancer is diagnosed at stages III or IV. However, there is a significant mortality benefit in detecting early-stage lung cancer via screening with low-dose computed tomography.MethodsThis study employed a rigorously-translated, previously-validated survey based on the Expanded Health Belief Model to understand how Armenian male smokers’ beliefs would affect lung cancer screening participation.ResultsSurvey responses highlighted key health beliefs that would mediate screening participation. Most respondents felt they were at risk for lung cancer, but over 50% also believed their cancer risk was equivalent to (or less than) non-smokers’ risk. Respondents also overwhelmingly agreed a scan could help detect cancer earlier, but fewer agreed early detection could reduce cancer mortality. Important barriers included absence of symptoms and costs of screening and treatment.DiscussionOverall, the potential to reduce lung cancer-related deaths in Armenia is high, but there are a number of central health beliefs and barriers that would limit screening uptake and effectiveness. Improved health education, careful consideration of socioeconomic screening barriers, and appropriate screening recommendations may be useful in overcoming these beliefs.

Published
2023
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42. Treating lung cancer in resource limited setting: Retrospective study from Armenia.

Author

Mailyan, Mariam, primary, Zohrabyan, Davit, additional, Safaryan, Liana, additional, Harutyunyan, Lilit, additional, Avagyan, Armen, additional, Harutyunyan, Martin, additional, Sargsyan, Amalya, additional, Karapetyan, Nune, additional, Rushanyan, Marine, additional, Mkrtchyan, Gohar, additional, Avinyan, Anna, additional, Sargsyan, Mariam, additional, Galoyan, Arevik, additional, Kostanyan, Julia, additional, Khachatryan, Mariam, additional, Baloyan, Elen, additional, and Bardakhchyan, Samvel, additional

Published
2024
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43. Simulation of neutron production in hadron-nucleus and nucleus-nucleus interactions in Geant4

Author

Galoyan, A., Ribon, A., and Uzhinsky, V.

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment, Nuclear Experiment
Abstract

Studying experimental data obtained at ITEP [1] on neutron production in interactions of protons with various nuclei in the energy range from 747 MeV up to 8.1 GeV, we have found that slow neutron spectra have scaling and asymptotic properties [2]. The spectra weakly depend on the collision energy at momenta of projectile protons larger than 5 - 6 GeV/c. These properties are taken into account in the Geant4 Fritiof (FTF) model. The improved FTF model describes as well as the Geant4 Bertini model the experimental data on neutron production by 1.2 GeV and 1.6 GeV protons on targets (Fe, Pb) [3] and by 3.0 GeV protons on various targets (Al, Fe, Pb) [4]. For neutron production in antiproton-nucleus interactions, it was demonstrated that the FTF results are in a satisfactory agreement with experimental data of the LEAR collaboration [5]. The FTF model gives promising results for neutron production in nucleus - nucleus interactions at projectile energy 1 - 2 GeV per nucleon [6]. The observed properties allow one to predict neutron yields in the nucleus-nucleus interactions at high and very high energies. Predictions for the NICA/MPD experiment at JINR are presented., Comment: 6 pages, 5 figures. Contribution to Proceedings of Baldin ISHEPP XXIV

Published
2018
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44. Production of strange particles in hadronic interactions

Author

Galoyan, A., Ribon, A., and Uzhinsky, V.

Subjects
High Energy Physics - Phenomenology, Nuclear Theory
Abstract

The NA61/SHINE collaboration has recently published high precision data on production of $\pi^\pm$ and $K^\pm$ mesons, protons, antiprotons and $\Lambda$ hyperons in ${\rm pp}$ interactions at 20, 31, 40, 80 and 158 GeV/c, and in ${\rm pC}$ interactions at 31 GeV/c. The collaboration also presented experimental data on production of particles - $\pi^\pm$, $K^\pm$, $p^\pm$, $\rho^0$, $\omega$ and $K^{*0}$ in $\pi^-{\rm C}$ collisions at 158 and 350 GeV/c. The collaboration has compared these data with various Monte Carlo model calculations: UrQMD, EPOS, GiBUU, and others. All of the models have various problems. The latest version of the FTF (Fritiof) model of Geant4 solves most of these problems. In the FTF model, we have improved the fragmentation of quark-gluon strings with small masses and introduced dependencies of probabilities of strange mesons and baryon-antibaryon pair's creation on string masses. Due to these changes, we describe the data of the NA61/SHINE collaboration on particle production in ${\rm pp, pC}$, and $\pi^-{\rm C}$ interactions. The improved Geant4 FTF model also well reproduces experimental data on inclusive cross sections of $\Lambda, \bar{\Lambda}$ and $K^{0}$ production in antiproton-proton interactions at various energies. The modified FTF model allows one to simulate realistic processes with two particle productions - $\bar{p}p \rightarrow \Lambda \bar{\Lambda}$, $\bar{p}p \rightarrow K^{+} K^{-}$, $\bar{p}p \rightarrow \Lambda \bar{\Sigma}$, and $\bar{p}p \rightarrow\Sigma \bar{\Sigma}$, which will be studied in the future by the PANDA experiment at FAIR (GSI, Germany)., Comment: 10 pages, 8 figures, IWNT-37, Rila, 2018, Bulgaria

Published
2018

45. Study of Azimuthal Correlations in the Target Fragmentation Region in p, d, He, C+C, Ta and C+Ne, Cu Collisions at a Momentum of 4.2, 4.5 and 10 AGeV/c

Author

Chlachidze, G., Djobava, T., Galoyan, A., Kharkhelauri, L., Togoo, R., and Uzhinsky, V.

Subjects
Nuclear Experiment
Abstract

Azimuthal correlations between the same type of particles (protons or pions) in the target fragmentation region was studied in d, He, C + C, Ta (4.2 AGeV/c), C + Ne, Cu (4.5AGeV/c) and p + C, Ta (10 GeV/c) interactions. The data were obtained from the SKM-200-GIBS streamer chamber and from Propane Bubble Chamber (PBL-500) systems utilized at JINR. Study of multiparticle azimuthal correlations offers unique information about space-time evolution of the interactions. Azimuthal correlations were investigated by using correlation function C($\Delta\phi$)=dN/d($\Delta\phi$), where $\Delta\phi$ represents the angle between the sums of transverse momenta vectors for particles emitted in the forward and backward hemispheres. For protons a "back-to back" ("negative") azimuthal correlations were observed in the above mentioned interactions. The absolute values of the correlation coefficient $|\xi|$ -- the slope parameter of C($\Delta\phi$), strongly depend on the mass number of the target ($A_T$) nuclei in the nucleon-nucleus and nucleus-nucleus collisions. Namely, $|\xi|$ -- decreases with increase of $A_T$ in p+C and p+Ta collisions, while $|\xi|$ decreases from d+C up to C+Ne and then almost does not change with increase of $A_P$, $A_T$ in (d+He)Ta, C+Cu and C+Ta collisions. For pions a "back-to-back" correlations were obtained for a light targets (C, Ne), and a "side-by-side" ("positive") correlations for a heavy targets (Cu, Ta). The $|\xi|$ insignificantly changes with increase of the momenta per nucleon and almost does not change with increase of $A_P$ and $A_T$. Models, used for description of the data -- the Ultra relativistic Quantum Molecular Dynamic (UrQMD) and Quark-Gluon String Model (QGSM), satisfactorily describe the obtained experimental results., Comment: 10 figures, 1 table. arXiv admin note: text overlap with arXiv:hep-ex/9601007, arXiv:nucl-ex/0204005 by other authors

Published
2018

46. Toward simulation of quark and diquark fragmentations in the Quark-Gluon String Model (QGSM)

Author

Uzhinsky, V. and Galoyan, A.

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment, Nuclear Experiment
Abstract

Within the Quark-Gluon String Model A.B. Kaidalov found a behaviour of quark and diquark fragmentation functions for $z\rightarrow 0$ and $z\rightarrow 1$, and proposed interpolation formulae for the functions in the whole region of $z$. These functions must be a solution of the well-known system of the integral equations. A simplified Monte Carlo estimation of the functions, based on usage of the fragmentation functions at $z\rightarrow 1$ as the kernel functions of the system, does not reproduce Kaidalov's results. An improvement of the Monte Carlo simulations is proposed in this paper. It can be implemented in Monte Carlo event generators such as Los Alamos QGSM, QGSJet-II and the Geant4 QGS model. It will improve a description of experimental data in the models, especially, the description of the latest NA61/SHINE Collaboration data on $\pi{\rm C}$ interactions. Description of the data is a problem in DPMJet, QGSJet, EPOS and Sibyll models., Comment: 6 pages, 3 figures

Published
2018

47. Integrative Transfer of Learning Model and Implications for Higher Education

Author

Galoyan, Tamara and Betts, Kristen

Abstract

Transfer of knowledge, skills, and experience is critical in an increasingly competitive knowledge-based global economy. Research indicates major issues relating to transfer of learning, including (a) the complex nature of transfer, (b) the multiple variables affecting transfer, and (c) the limited knowledge of instructional methodologies for facilitating transfer across disciplines and learning environments. An integrative literature review was conducted to analyze the conceptualizations of transfer of learning across disciplines, as well as to examine the traditional and contemporary models along with taxonomies of transfer. This article proposes a new Integrative Transfer of Learning (ITL) model that aggregates four broad transfer dimensions, specifically (a) task, (b) personal, (c) context, and (d) pedagogical dimensions. This ITL model provides a comprehensive conceptual framework for researchers, instructors, and instructional designers interested in transfer of learning across learning environments, including online, blended, and onsite, for preparing a diverse higher education student population for a complex and advancing workforce.

Published
2021
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49. A Survival Analysis of Patients with Recurrent Epithelial Ovarian Cancer Based on Relapse Type: A Multi-Institutional Retrospective Study in Armenia

Author

Harutyunyan, Lilit, primary, Manvelyan, Evelina, additional, Karapetyan, Nune, additional, Bardakhchyan, Samvel, additional, Jilavyan, Aram, additional, Tamamyan, Gevorg, additional, Avagyan, Armen, additional, Safaryan, Liana, additional, Zohrabyan, Davit, additional, Movsisyan, Narine, additional, Avinyan, Anna, additional, Galoyan, Arevik, additional, Sargsyan, Mariam, additional, Harutyunyan, Martin, additional, Nersoyan, Hasmik, additional, Stepanyan, Arevik, additional, Galstyan, Armenuhi, additional, Danielyan, Samvel, additional, Muradyan, Armen, additional, and Jilavyan, Gagik, additional

Published
2024
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