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5. Non-local Interactions are Essential Elements for Dark Matter Halo Stability: A Cross-Model Study

Author

Borzou, Ahmad

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, High Energy Physics - Theory
Abstract

This paper introduces a comprehensive methodology for examining the stability of dark matter (DM) halos, emphasizing the necessity for non-local inter-particle interactions, whether they are fundamental or effective in nature, to maintain halo stability. We highlight the inadequacy of vanilla cold collision-less DM models in forecasting a stable halo without considering a "non-local" interaction in the halo's effective free energy, which could potentially arise from factors like baryonic feedback, self-interactions, or the intrinsic quantum characteristics of dark particles. The stability prerequisite necessitates significant effective interactions between any two points within the halo, regardless of their distance from the center. The methodology proposed herein offers a systematic framework to scrutinize the stability of various DM models and refine their parameter spaces. We deduce that DM halos within a model, where the deviation from the standard cold collision-less framework is confined to regions near the halo center, are unlikely to exhibit stability in their outer sectors. In our study, we demonstrate that the issue of instability within DM halos cannot be addressed adequately using perturbative quantum effects. This issue is less pronounced for fermionic DM but suffers from a higher degree of severity when considering bosonic DM. We find that halos made of bosons with notable quantum effects have sharp edges, while those made of fermions show more diffuse boundaries extending toward infinity. We also explore the broadest form of the effective free-energy around a chosen mass profile., Comment: 9 pages, 1 figure. Accepted for publication by Universe

Published
2023

7. Dignity: the cornerstone of psychological health among victims of child labor, a qualitative study

Author

Fateme Mohammadi, Seyedeh Zahra Masoumi, Khodayar Oshvandi, Seyed Reza Borzou, Fatemeh Cheraghi, and Behruz Karkhanei

Subjects
Dignity, Adolescent, Labor, Qualitative research, Medicine, Biology (General), QH301-705.5, Science (General), Q1-390
Abstract

Abstract Background Respecting the dignity of child labor is one of their most urgent needs. In many cases, the dignity of child labor is not maintained in countries with unfavorable economic conditions. The aim of the present study was understand adolescents’ perceptions of their dignity in child labor. Methods This study is a qualitative research with conventional content analysis approach. Twenty teenagers who having work experience as child labor were selected from one welfare center and three charity centers in using purposeful sampling method in 2022–2023. Data was generated through individual, deep, and semi-structured interviews. In order to analyze the data was used Granheim and Lundman’s method. Results Three main themes were presented in this study including, “preservation of privacy and security”, “honoring individual identity to develop dignity” and “comprehensive support”, and 9 categories. Conclusion understand adolescents’ perceptions as child labor of their dignity, privacy and security of child labor victims and respect for their identity and all-round support are defined. And in this supportive environment, the dignity of working children is preserved and appropriate behavioral consequences are created. Therefore, it is suggested that a cultural and institutional background be provided in which all components of the child labor’s dignity are emphasized.

Published
2024
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8. Support network: the challenges of ensuring myocardial infarction patients comfort in the critical care unit: a qualitative study

Author

Simin Hojjatoleslami, Seyed Reza Borzou, Reza Negarandeh, Ali Reza Soltanian, and Amir Sadeghi

Subjects
Comfort, Myocardial infarction, Support network, Coronary care unit, Qualitative research, Public aspects of medicine, RA1-1270
Abstract

Abstract Introduction Myocardial infarction (MI) is a critical emergency condition that affects all aspects of health. Patients with MI need specialized care in the Coronary care unit (CCU). The main goal of care is to ensure their comfort, which can be significantly affected by their illness and hospitalization. This study aims to explore MI patients’ perceptions of support network challenges to ensure comfort in the CCU. Methods A qualitative approach was adopted, and semi-structured interviews and notes were used for collecting data between 2020 and mid-2021. The participants were 27 MI patients in our country who had been hospitalized in the CCU of the University Heart Hospital. They were selected using purposive sampling. The data were analyzed using conventional content analysis by Graneheim and Lundman. Findings The results of this research were revealed in the form of a “support network” theme comprising five categories: “Physical support”, “Mental occupations”, “Presence of peers”, “relatives support “and “Spiritual strategies”. Conclusion The study results showed that MI patients, in critical condition, receiving care, and hospitalized in the CCU require continuity in their support network to ensure comfort. The inconsistency between the components of each dimension leads to the challenge of ensuring comfort.

Published
2024
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9. Ameliorating Effect of Salicylic Acid on Physiological and Biochemical Characteristics of Satureja spicigera (C. Koch) Boiss. under NaCl Stress

Author

Borzou Yousefi and Roya Karamian

Subjects
antioxidant activity, chlorophyll, proline, salt stress, savory, Agriculture
Abstract

Creeping savory is a wild plant that is used for comestible consumption, preparation of beverages, and production of sanitary ware and herbal drugs. To investigate the effects of salinity stress and salicylic acid on antioxidant enzymes, photosynthetic pigments, relative water content, proline, and soluble protein content in S. spicigera a factorial experiment was conducted based on a Completely Randomized Design (CRD) and three replications. The experiment was implemented at the greenhouse of Agriculture and Natural Resources Research and Education Center of Kermanshah, Iran (2019). Experimental treatments were four levels of salinity (0-50-100-150 mM NaCl) and two levels of salicylic acid (0 and 2 mM). Results showed that increasing salinity levels caused a significant reduction in relative water content, leaf fresh weight, leaf dry weight, chlorophyll a, chlorophyll b, total chlorophyll, and carotenoid content. Salinity drastically enhanced the antioxidant activities (SOD, POD, and CAT), and cell proline content. Salicylic acid considerably decreased proline content under salt stress conditions, but improved antioxidant activities of SOD, POD, and CAT, and enhanced chlorophyll a, chlorophyll b, total chlorophyll, carotenoid content, protein content, relative water content, and leaf fresh weight under salt stress. Salicylic acid reduced the destructive effect of salinity on some morphological, physiological, and biochemical characteristics in creeping savory.

Published
2024
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10. Vehicle Utilization in Hub Network Design: Exploiting Economies of Scale in Transportation

Author

Farham, Mohammad Saleh, Rostami, Borzou, and Haughton, Michael

Subjects
Mathematics - Optimization and Control
Abstract

We study a vehicle-based hub network design problem (HNDPv) with the main applications in freight distribution and parcel delivery systems, where the economies of scale stem from the effective utilization of vehicles that move consolidated freight. The HNDPv is a generalization of the classical single allocation hub location problem, in which the transportation costs are stepwise functions of the number (and type) of vehicles that move the demand. We present the quadratic mixed-integer programming formulation of the problem and its linear reformulation. Exploiting the special structures of the linearized model, we develop a branch-and-cut method based on Benders decomposition with solely feasibility subproblems. We derive closed-form solutions for the extreme rays of the feasibility subproblems that improve the efficiency of the proposed algorithm through generating stronger feasibility cuts. We also address the HNDPv under demand uncertainty and show the flexibility of our solution methodology in handling the stochastic variant of the problem. To evaluate the efficiency of our models and solution approaches, we perform extensive computational experiments on uncapacitated and capacitated instances of the problem derived from the classical Australian Post dataset. The results show a considerable advantage of using HNDPv compared to the classical HLP with constant discount factors in terms of vehicle utilization and total transportation costs. Our computational experiments also demonstrate the efficiency of our proposed solution method in solving large-scale problem instances.

Published
2023

11. The neuroanatomical organization of the hypothalamus is driven by spatial and topological efficiency

Author

Nathan R. Smith, Shabeeb Ameen, Sierra N. Miller, James M. Kasper, Jennifer M. Schwarz, Jonathan D. Hommel, and Ahmad Borzou

Subjects
Allen Brain Atlas, computational biology, connectome, connectivity, efficiency, hypothalamus, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

The hypothalamus in the mammalian brain is responsible for regulating functions associated with survival and reproduction representing a complex set of highly interconnected, yet anatomically and functionally distinct, sub-regions. It remains unclear what factors drive the spatial organization of sub-regions within the hypothalamus. One potential factor may be structural connectivity of the network that promotes efficient function with well-connected sub-regions placed closer together geometrically, i.e., the strongest axonal signal transferred through the shortest geometrical distance. To empirically test for such efficiency, we use hypothalamic data derived from the Allen Mouse Brain Connectivity Atlas, which provides a structural connectivity map of mouse brain regions derived from a series of viral tracing experiments. Using both cost function minimization and comparison with a weighted, sphere-packing ensemble, we demonstrate that the sum of the distances between hypothalamic sub-regions are not close to the minimum possible distance, consistent with prior whole brain studies. However, if such distances are weighted by the inverse of the magnitude of the connectivity, their sum is among the lowest possible values. Specifically, the hypothalamus appears within the top 94th percentile of neural efficiencies of randomly packed configurations and within one standard deviation of the median efficiency when packings are optimized for maximal neural efficiency. Our results, therefore, indicate that a combination of geometrical and topological constraints help govern the structure of the hypothalamus.

Published
2024
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14. Perceptions of professional challenges by emergency medical services providers: a qualitative content analysis study

Author

Afshin Khazaei, Ali Afshari, Mahnaz Khatiban, Seyed Reza Borzou, Khodayar Oshvandi, Majedeh Nabavian, and Maryam Maddineshat

Subjects
Emergency medical services providers, Professional challenge, Pre-hospital field, Special situations and conditions, RC952-1245, Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9
Abstract

Abstract Introduction Emergency medical services (EMS) providers encounter a variety of challenges due to the unpredictable, uncontrollable, and dynamic conditions in the pre-hospital field. This study explored the perceived professional challenges among EMS providers. Materials and methods This study was conducted using a qualitative research approach and the method of content analysis. Eighteen EMS providers were purposively selected from EMS stations in Hamadan, Iran. The collected data were then analyzed based on the Granheim and Lundman's method. Results Based on data analysis, five categories and one theme were identified. The extracted theme was professional challenges. The five categories were as follows: Ineffective policies; multicultural and multidisciplinary factors; ambulance dispatch route problems; legal issues; and abuse against the emergency medical services Conclusion In general, it has been found that EMS providers encounter numerous and complex professional challenges during their work. EMS managers can utilize the findings of the present study to develop strategies for reducing the professional challenges faced by EMS providers. By doing so, they can improve the quality of care in the prehospital field.

Published
2024
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15. Designing and psychometric assessment of the moral intelligence scale for healthcare professionals

Author

Fateme Mohammadi, Seyed Reza Borzou, Salman Khazaei, Mostafa Bijani, Seyedeh Zahra Masoumi, and Seyed Kianoosh Hosseini

Subjects
Competence, Moral, Health care, Professional, Cardiac, Operating room, Medicine, Science
Abstract

Abstract The moral intelligence of healthcare professionals in the cardiac operating room is one of the most important aspects of professional competence. However, moral intelligence is an abstract and multidimensional concept that needs to be clarified and described based on organizational culture and environment. Therefore, there is a need to design a specific scale for measuring the moral intelligence of healthcare professionals in the cardiac operating room. This study aims to design and assess the psychometric properties of a moral intelligence scale for healthcare professionals in the cardiac operating room. The present study was a mixed method study with a sequential exploratory approach. The research was conducted in 2023–2024 in Iran. The first phase data were collected from 20 healthcare professionals and were analyzed by conventional content analysis method. In the second phase, the validity and reliability of the instrument were evaluated by involving 300 healthcare professionals in the cardiac operating room. The moral intelligence of health care professionals in the cardiac operating room was defined as moral sensitivity combined with moral commitment and moral courage for the provision of quality care that respects the principles of medical ethics. After deducing the conceptual framework, the moral intelligence scale for healthcare professionals in the cardiac operating room was developed with three dimensions: “moral sensitivity,” “moral commitment,” and “moral courage.” 11 items were removed during testing to ensure content validity. Face validity was confirmed with impact scores > 1.5 for all items. A scale was developed through factor analysis with three factors that accounted for 73.04% of the observed variance. The instrument’s reliability using Cronbach’s alpha coefficient calculation was reported as 0.94 for the entire instrument. The testretest showed no statistically significant difference between the pre and post-test scores of moral intelligence (p = 0.51). The moral intelligence scale demonstrated acceptable psychometric properties. The moral intelligence scale for health care professionals in the cardiac operating room demonstrated acceptable psychometric properties. This instrument may serve to assess the moral intelligence of healthcare professionals and determine the need for educational interventions to reduce the ethical challenges and improve the moral intelligence of this healthcare.

Published
2024
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16. Effect of acupressure on pain intensity and physiological indices in patients undergoing extracorporeal shock wave lithotripsy: a randomized double-blind sham-controlled clinical trial

Author

Ali Safdari, Salman Khazaei, Mahdi Biglarkhani, Seyed Habibollah Mousavibahar, and Seyed Reza Borzou

Subjects
Acupressure, Pain, Physiological indices, Lithotripsy, Renal stones, Complementary therapy, Other systems of medicine, RZ201-999
Abstract

Abstract Background Despite the widespread use of extracorporeal shock wave lithotripsy (ESWL) as a treatment for kidney stones, it is essential to apply methods to control pain and improve patient comfort during this procedure. Therefore, this study aimed to investigate the effect of acupressure at the Qiu point on pain intensity and physiological indices in patients undergoing ESWL. Methods This randomized, sham-controlled clinical trial was conducted at the Shahid Beheshti Educational-medical Center in Hamadan City (western Iran) from May to August 2023. Seventy-four eligible patients were split into intervention (n = 37) and sham (n = 37) groups. Ten minutes before lithotripsy, the intervention group received acupressure at the Qiu point, while the sham group received touch at a neutral point. The primary outcomes were pain intensity measured by the Visual Analog Scale (VAS) and physiological indices such as blood pressure and heart rate at baseline, 1, 10, 20, 30, 40, and 50 min after the intervention. The secondary outcomes included lithotripsy success and satisfaction with acupressure application. Results The analysis of 70 patients showed no significant differences in the demographic and clinical information of the patients across the two groups before the study (P > 0.05). Generalized estimating equations revealed that the interaction effects of time and group in pain and heart rate were significant at 30 and 40 min (P 0.05). Conclusions Acupressure at the Qiu point positively impacts pain in patients undergoing ESWL treatment and increases their satisfaction. However, these results for physiological indices require further studies. Thus, acupressure can be considered a simple, easy, and effective option for pain management in patients during this procedure. Trial registration [ https://en.irct.ir/trial/69117 ], identifier [IRCT20190524043687N4].

Published
2024
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17. Assessment of Dark Matter Models Using Dark Matter Correlations across Dwarf Spheroidal Galaxies

Author

Borzou, Ahmad

Subjects
Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Condensed Matter - Other Condensed Matter, High Energy Physics - Phenomenology
Abstract

The predicted size of dark matter substructures in kilo-parsec scales is model-dependent. Therefore, if the correlations between dark matter mass densities as a function of the distances between them are measured via observations, we can scrutinize dark matter scenarios. In this paper, we present an assessment procedure of dark matter scenarios. First, we use Gaia's data to infer the single-body phase-space density of the stars in the Fornax dwarf spheroidal galaxy. The latter, together with the Jeans equation, after eliminating the gravitational potential using the Poisson equation, reveals the mass density of dark matter as a function of its position in the galaxy. We derive the correlations between dark matter mass densities as a function of distances between them. No statistically significant correlation is observed. Second, for the sake of comparison with the standard cold dark matter, we also compute the correlations between dark matter mass densities in a small halo of the Eagle hydrodynamics simulation. We show that the correlations from the simulation and from Gaia are in agreement. Third, we show that Gaia observations can be used to limit the parameter space of the Ginzburg--Landau statistical field theory of dark matter mass densities and subsequently shrink the parameter space of any dark matter model. As two examples, we show how to leave limitations on (i) a classic gas dark matter and (ii) a superfluid dark matter., Comment: 13 pages, 9 figures, accepted for publication in Universe

Published
2022
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19. Large-scale cortex-core structure formation in brain organoids

Author

Borzou, Ahmad and Schwarz, J. M.

Subjects
Condensed Matter - Soft Condensed Matter, Astrophysics - Cosmology and Nongalactic Astrophysics, Physics - Biological Physics
Abstract

Brain organoids recapitulate a number of brain properties, including neuronal diversity. However, do they recapitulate brain structure? Using a hydrodynamic description for cell nuclei as particles interacting initially via an effective, attractive force as mediated by the respective, surrounding cytoskeletons, we quantify structure development in brain organoids to determine what physical mechanism regulates the number of cortex-core structures. Regions of cell nuclei overdensity in the linear regime drive the initial seeding for cortex-core structures, which ultimately develop in the non-linear regime, as inferred by the emergent form of an effective interaction between cell nuclei and with the extracellular environment, as mediated by a dynamic cytoskeleton. Individual cortex-core structures then provide a basis upon which we build an extended version of the buckling without bending morphogenesis (BWBM) model, with its proliferating cortex and constraining core, to predict foliations/folds of the cortex in the presence of a nonlinearity due to cortical cells actively regulating strain. In doing so, we obtain asymmetric foliations/folds with respect to the trough (sulci) and the crest (gyri). In addition to laying new groundwork for the design of more familiar and less familiar brain structures, the hydrodynamic description for cell nuclei during the initial stages of brain organoid development provides an intriguing quantitative connection with large-scale structure formation in the universe., Comment: 13 pages, 9 figures. Comments are welcome

Published
2021

20. A Data-Driven Statistical Description for the Hydrodynamics of Active Matter

Author

Borzou, Ahmad, Patteson, Alison E., and Schwarz, J. M.

Subjects
Condensed Matter - Soft Condensed Matter, Condensed Matter - Statistical Mechanics
Abstract

Modeling living systems at the collective scale can be very challenging because the individual constituents can themselves be complex and the respective interactions between the constituents are not fully understood. With the advent of high throughput experiments and in the age of big data, data-driven methods are on the rise to overcome these challenges. To directly uncover the underlying physical principles, we present a data-driven method for obtaining the phase-space density such that the solution to the stochastic dynamic equation for active matter readily emerges, from which time and space dependence of physical order parameters can be readily extracted. If the system is near a steady state, we illuminate how to construct a field theory to subsequently make physical predictions about the system. The method is first developed analytically and subsequently calibrated using simulated data. The method is then applied to an experimental system of particles actively driven by a {\it Serratia marcescens} bacterial swarm and in the presence of spatially localized UV light. The analysis demonstrates that the particles are in the steady-state before and sometime after the UV light and obey a Gaussian field theory with a spatially-varying "mass" in those regimes. This novel, yet simple, finding is surprising given the complex dynamics of the bacterial swarm. In response to the UV light, we demonstrate that there is a net flow of the particles away from the UV light and that the entropy of the particles increases away from the light. We conclude with a discussion of additional potential applications of our data-driven method such as when the internal structure of the individual constituents dynamically changes to result in a modified stochastic dynamic equation governing the system., Comment: 15 pages, 9 figures, comments are welcome

Published
2021
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21. Estimation of the Mass of Dark Matter Using the Observed Mass Profiles of Late-Type Galaxies

Author

Borzou, Ahmad

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics, High Energy Physics - Phenomenology
Abstract

The system of stability equations for galactic halos is under-determined in most of the models of dark matter (DM). Conventionally, the issue is resolved by taking the temperature as a constant, and the chemical potential and the mass density as position-dependent variables. In this paper, to close the under-determined set of equations, we remove the mass density using observations and leave the temperature and the chemical potential as position-dependent variables. We analyze observations of the mass profiles of 175 late-type galaxies in the Spitzer Photometry \& Accurate Rotation Curves (SPARC) database as well as 26 late-type dwarfs in the Little Things database, to construct the temperature profile of their DM halos by assuming that (1) DM in the halos obeys either the Fermi-Dirac or the Maxwell-Boltzmann distribution, and (2) the halos are in the virial state. We derive the dispersion velocity of DM at the center of the halos and show that its correlation with the halo's total mass is consistent with the direct observations of visible matter. Taking the latter agreement as a validation of our analysis, we derive the mass to the temperature of DM at the edge of the halos and show that it is galaxy independent and is equal to $m/T_{R_{200}}\simeq 10^{10}$ in natural units. In the thermal models of DM, such universal temperature is inherently assumed. In this paper, we derive the universal temperature from observations without imposing it by assumptions. Therefore, $T_{R_{200}}$ in the above ratio can be expressed in terms of the temperature of the cosmic microwave background (CMB) at the time of DM decoupling. This result is used to study possible cosmological scenarios. We show that observations are at odds with (1) non-thermal DM, (2) hot DM, and (3) collision-less cold DM. If DM is warm, we estimate its mass to be in the range of keV--MeV., Comment: 12 pages, 10 figures. Accepted for publication in JCAP

Published
2021
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23. Experiences of persons with multiple sclerosis of a collaborative care programme: A qualitative study

Author

Firuzeh Payamani, Seyed Reza Borzou, Alireza Soltanian, Masoud Ghiasian, and Mahnaz Khatiban

Subjects
decision‐making, multiple sclerosis, nurse–patient relationship, patient‐centred care, Nursing, RT1-120
Abstract

Abstract Aim This study aimed to explain the experiences of individuals with multiple sclerosis (MS) about the collaborative care programme. Design This qualitative study was conducted from July 2021 to March 2022. Methods We conducted this study with individuals with MS who participated in the collaborative care programme in Hamadan, Iran. A purposive sampling with maximum variety was applied to recruit patients until data saturation. Eventually, 18 patients consented and were interviewed using a semi‐structured interview guide. The transcriptions of audio‐checked interviews were analysed using a conventional content analysis approach of Graneheim and Lundman by MAXQDA 10, 2010 edition. Results The study identified three main categories. that emerged from the participants' experiences of collaborative care: the ‘Beginning of Communication’, which included two subcategories, ‘Introduction and Acquaintance with Each Other’ and ‘Formation of Trust’; ‘Mutual Interaction’, which included three subcategories, ‘Dialogue’, ‘Mutual Goal Setting’ and ‘Mutual Agreement of Care Solutions’; and ‘Exchange of Targeted Behaviors’, which included six categories, Implementation of Strategies for ‘Nutritional Behaviors’, ‘Sleep and Rest’, ‘Constipation Relief’, ‘Promotion of Physical Activity and Exercise’, ‘Fatigue Reduction’ and ‘Stress Management’. Conclusions The findings highlight the statistically significant role of collaborative care in MS management. Utilizing these research findings can update the development of interventions based on collaborative care, which can provide appropriate support to individuals with MS. Patient or public contribution Individuals with multiple sclerosis.

Published
2023
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24. Sustained antibacterial activity of orthodontic elastomeric ligature ties coated with a novel kombucha-derived bacterial nanocellulose: An in-vitro study.

Author

Fateme Eskandari, Susan Borzou, Alireza Razavian, Neda Babanouri, and Khadije Yousefi

Subjects
Medicine, Science
Abstract

Incipient carious lesions, the most common complication in orthodontic patients with fixed appliances, call for the development of novel preventive dental materials that do not rely on patient adherence. The present study aimed to assess the ability of elastomeric ligatures coated with bacterial nanocellulose (BNC) to deliver sustained antibacterial activity, during the standard 28-day interval between orthodontic appointments, without compromising their mechanical properties. Kombucha membrane was used to produce cellulose as a secondary product from the fermentation of tea broth with symbiotic bacteria and yeast culture. Characterization of BNC-coated elastomeric ligatures was performed using Fourier Transform Infrared Spectroscopy and Energy Dispersive Spectroscopy analysis. The samples were pre-treated by immersion first in isopropyl alcohol, then in 8 mL nanocellulose solution for 7 days. Tensile strain and strength of the BNC-coated and conventional ligatures were evaluated using a tensile testing machine. Direct contact and agar diffusion tests were performed to assess the antibacterial activity of nanocellulose. In addition, the release profile of BNC was evaluated. Data analysis was performed by one-way analysis of variance (ANOVA) followed by post-hoc Tukey's test and Wilcoxon signed-rank test. P values less than 0.05 was regarded as significant. There was no statistically significant difference in tensile strain and strength between the BNC-coated and conventional ligatures. The coated ligatures provided sustained antibacterial activity during the required 28 days. The use of BNC-coated elastomeric ligatures in patients with fixed orthodontic appliances might be a promising solution to plaque formation and subsequent enamel decalcification.

Published
2024
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25. A Non-Geometrodynamic Quantum Yang-Mills Theory of Gravity Based on the Homogeneous Lorentz Group

Author

Borzou, Ahmad

Subjects
General Relativity and Quantum Cosmology, High Energy Physics - Theory
Abstract

In this paper, we present a non-geometrodynamic quantum Yang-Mills theory of gravity based on the homogeneous Lorentz group within the general framework of the Poincare gauge theories. The obstacles of this treatment are that first, on the one hand, the gauge group that is available for this purpose is non-compact. On the other hand, Yang-Mills theories with non-compact groups are rarely healthy, and only a few instances exist in the literature. Second, it is not clear how the direct observations of space-time waves can be explained when space-time has no dynamics. We show that the theory is unitary and is renormalizable to the one-loop perturbation. Although in our proposal, gravity is not associated with any elementary particle analogous to the graviton, classical helicity-two space-time waves are explained. Five essential exact solutions to the field equations of our proposal are presented as well. We also discuss a few experimental tests that can falsify the presented Yang-Mills theory., Comment: 32 pages, to appear in Foundations of Physics

Published
2020
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26. On the Stability of Fermionic Non-Isothermal Dark Matter Halos

Author

Borzou, Ahmad

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, High Energy Physics - Theory
Abstract

The stability of isothermal dark matter halos has been widely studied before. In this paper, we investigate the stability of non-isothermal fermionic dark matter halos. We show that in the presence of temperature gradient, the force due to the pressure has both inward and outward components. In some regions of halos, the inward force that provides stability is due to the pressure rather than gravity. Moreover, it is shown that higher temperature gradients lead to halos with lower mass and size. We prove that if the temperature is left as a free positive profile, one can place no phase-space lower bound on the mass of dark matter. For halos that are in the low degeneracy classic domain, we derive an analytic expression of their temperature in terms of their mass density and place an upper bound on the mass of dark matter by requiring that temperature is not negative. We then use the Burkert mass profile for the Milky Way to show that if the central temperature of the halo is a few Kelvins, the mass of dark matter cannot exceed a few keV., Comment: 15 pages, 14 figures, computer software to solve the most general stability equation. Comments are welcome

Published
2020
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27. Nurses' healing presence: A panacea for the comfort of acute coronary syndrome patients in CCU, A qualitative study

Author

Simin Hojjatoleslami, Amir Sadeghi, Reza Negarandeh, Ali Reza Soltanian, and Seyed Reza Borzou

Subjects
acute coronary syndrome, comfort, critical care unit, nurses, qualitative research, Nursing, RT1-120
Abstract

Abstract Aim The study aimed to explain the acute coronary syndrome (ACS) patients' perception of the nurse's healing presence in their comfort in the critical care unit. Design This descriptive qualitative study was conducted from December 2020 to September 2021. Methods Twenty‐seven ACS patients were purposively selected from a cardiovascular university Hospital, Iran. Data were collected through semi‐structured interviews (45–60 min). Data analysis was performed based on the contractual content analysis method of Graneheim and Lundman. Results In the data analysis, the main theme ‘nurses' healing presence’ includes two categories: ‘Nurse–patient communication’ with two subcategories and the category ‘Compassionate care’ with three subcategories.

Published
2023
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28. Comparison of the Effects of Diet Education by Teach-back and Group Discussion Methods on Laboratory Parameters of Hemo-dialysis Patients

Author

Seyed Reza Borzou, Mehrdad Rasoli, Zahra Khalili, and Leili Tapak

Subjects
diet, education, renal dialysis, Nursing, RT1-120
Abstract

Background and Objective: Despite the importance of nutrition education for hemodialysis patients, the most effective method of education for these patients is still unknown. In this regard, the present study aimed to compare the effects of two methods of diet education, namely teach-back and group discussion, on laboratory parameters of hemodialysis patients. Materials and Methods: This quasi-experimental study was performed on 70 patients from the hemodialysis wards of two hospitals in Hamedan-Iran, who were randomly assigned to the group discussion group and the teach-back group. Data were collected using a demographic questionnaire and a checklist of laboratory parameters before and 2 months after the educational intervention. During three sessions, the researchers provided the. same educational materials for both groups related to nutrition in hemodialysis patients. In the teach-back method, the educational material was presented individually to each patient to ensure their complete understanding of the information. In the group discussion method, the education was provided as a discussion in small groups. Results: In this study, the majority of patients in both groups were married and male and had a mean age of 25 years. Based on the comparison, the group discussion method led to lower potassium, fasting blood sugar (P

Published
2023

32. Solving All Regression Models For Learning Gaussian Networks Using Givens Rotations

Author

Alipourfard, Borzou and Gao, Jean X.

Subjects
Mathematics - Numerical Analysis, Computer Science - Machine Learning
Abstract

Score based learning (SBL) is a promising approach for learning Bayesian networks. The initial step in the majority of the SBL algorithms consists of computing the scores of all possible child and parent-set combinations for the variables. For Bayesian networks with continuous variables, a particular score is usually calculated as a function of the regression of the child over the variables in the parent-set. The sheer number of regressions models to be solved necessitates the design of efficient numerical algorithms. In this paper, we propose an algorithm for an efficient and exact calculation of regressions for all child and parent-set combinations. In the proposed algorithm, we use QR decompositions (QRDs) to capture the dependencies between the regressions for different families and Givens rotations to efficiently traverse through the space of QRDs such that all the regression models are accounted for in the shortest path possible. We compare the complexity of the suggested method with different algorithms, mainly those arising in all subset regression problems, and show that our algorithm has the smallest algorithmic complexity. We also explain how to parallelize the proposed method so as to decrease the runtime by a factor proportional to the number of processors utilized., Comment: This work has been submitted to a journal for possible publication

Published
2019

33. Erratum: Measurement of prompt and nonprompt charmonium suppression in PbPb collisions at 5.02 TeV

Author

A. M. Sirunyan, A. Tumasyan, W. Adam, F. Ambrogi, E. Asilar, T. Bergauer, J. Brandstetter, E. Brondolin, M. Dragicevic, J. Erö, A. Escalante Del Valle, M. Flechl, M. Friedl, R. Frühwirth, V. M. Ghete, J. Grossmann, J. Hrubec, M. Jeitler, A. König, N. Krammer, I. Krätschmer, D. Liko, T. Madlener, I. Mikulec, E. Pree, N. Rad, H. Rohringer, J. Schieck, R. Schöfbeck, M. Spanring, D. Spitzbart, W. Waltenberger, J. Wittmann, C.-E. Wulz, M. Zarucki, V. Chekhovsky, V. Mossolov, J. Suarez Gonzalez, E. A. De Wolf, D. Di Croce, X. Janssen, J. Lauwers, M. Van De Klundert, H. Van Haevermaet, P. Van Mechelen, N. Van Remortel, S. Abu Zeid, F. Blekman, J. D’Hondt, I. De Bruyn, J. De Clercq, K. Deroover, G. Flouris, D. Lontkovskyi, S. Lowette, I. Marchesini, S. Moortgat, L. Moreels, Q. Python, K. Skovpen, S. Tavernier, W. Van Doninck, P. Van Mulders, I. Van Parijs, D. Beghin, B. Bilin, H. Brun, B. Clerbaux, G. De Lentdecker, H. Delannoy, B. Dorney, G. Fasanella, L. Favart, R. Goldouzian, A. Grebenyuk, A. K. Kalsi, T. Lenzi, J. Luetic, T. Maerschalk, A. Marinov, T. Seva, E. Starling, C. Vander Velde, P. Vanlaer, D. Vannerom, R. Yonamine, F. Zenoni, T. Cornelis, D. Dobur, A. Fagot, M. Gul, I. Khvastunov, D. Poyraz, C. Roskas, S. Salva, M. Tytgat, W. Verbeke, N. Zaganidis, H. Bakhshiansohi, O. Bondu, S. Brochet, G. Bruno, C. Caputo, A. Caudron, P. David, S. De Visscher, C. Delaere, M. Delcourt, B. Francois, A. Giammanco, M. Komm, G. Krintiras, V. Lemaitre, A. Magitteri, A. Mertens, M. Musich, K. Piotrzkowski, L. Quertenmont, A. Saggio, M. Vidal Marono, S. Wertz, J. Zobec, W. L. Aldá Júnior, F. L. Alves, G. A. Alves, L. Brito, M. Correa Martins Junior, C. Hensel, A. Moraes, M. E. Pol, P. Rebello Teles, E. Belchior Batista Das Chagas, W. Carvalho, J. Chinellato, E. Coelho, E. M. Da Costa, G. G. Da Silveira, D. De Jesus Damiao, S. Fonseca De Souza, L. M. Huertas Guativa, H. Malbouisson, M. Melo De Almeida, C. Mora Herrera, L. Mundim, H. Nogima, L. J. Sanchez Rosas, A. Santoro, A. Sznajder, M. Thiel, E. J. Tonelli Manganote, F. Torres Da Silva De Araujo, A. Vilela Pereira, S. Ahuja, C. A. Bernardes, T. R. Fernandez Perez Tomei, E. M. Gregores, P. G. Mercadante, S. F. Novaes, Sandra S. Padula, D. Romero Abad, J. C. Ruiz Vargas, A. Aleksandrov, R. Hadjiiska, P. Iaydjiev, M. Misheva, M. Rodozov, M. Shopova, G. Sultanov, A. Dimitrov, L. Litov, B. Pavlov, P. Petkov, W. Fang, X. Gao, L. Yuan, M. Ahmad, J. G. Bian, G. M. Chen, H. S. Chen, M. Chen, Y. Chen, C. H. Jiang, D. Leggat, H. Liao, Z. Liu, F. Romeo, S. M. Shaheen, A. Spiezia, J. Tao, C. Wang, Z. Wang, E. Yazgan, H. Zhang, S. Zhang, J. Zhao, Y. Ban, G. Chen, J. Li, Q. Li, S. Liu, Y. Mao, S. J. Qian, D. Wang, Z. Xu, F. Zhang, Y. Wang, C. Avila, A. Cabrera, C. A. Carrillo Montoya, L. F. Chaparro Sierra, C. Florez, C. F. González Hernández, J. D. Ruiz Alvarez, M. A. Segura Delgado, B. Courbon, N. Godinovic, D. Lelas, I. Puljak, P. M. Ribeiro Cipriano, T. Sculac, Z. Antunovic, M. Kovac, V. Brigljevic, D. Ferencek, K. Kadija, B. Mesic, A. Starodumov, T. Susa, M. W. Ather, A. Attikis, G. Mavromanolakis, J. Mousa, C. Nicolaou, F. Ptochos, P. A. Razis, H. Rykaczewski, M. Finger, E. Carrera Jarrin, M. A. Mahmoud, Y. Mohammed, E. Salama, R. K. Dewanjee, M. Kadastik, L. Perrini, M. Raidal, A. Tiko, C. Veelken, P. Eerola, H. Kirschenmann, J. Pekkanen, M. Voutilainen, J. Havukainen, J. K. Heikkilä, T. Järvinen, V. Karimäki, R. Kinnunen, T. Lampén, K. Lassila-Perini, S. Laurila, S. Lehti, T. Lindén, P. Luukka, H. Siikonen, E. Tuominen, J. Tuominiemi, T. Tuuva, M. Besancon, F. Couderc, M. Dejardin, D. Denegri, J. L. Faure, F. Ferri, S. Ganjour, S. Ghosh, P. Gras, G. Hamel de Monchenault, P. Jarry, I. Kucher, C. Leloup, E. Locci, M. Machet, J. Malcles, G. Negro, J. Rander, A. Rosowsky, M.Ö. Sahin, M. Titov, A. Abdulsalam, C. Amendola, I. Antropov, S. Baffioni, F. Beaudette, P. Busson, L. Cadamuro, C. Charlot, R. Granier de Cassagnac, M. Jo, S. Lisniak, A. Lobanov, J. Martin Blanco, M. Nguyen, C. Ochando, G. Ortona, P. Paganini, P. Pigard, R. Salerno, J. B. Sauvan, Y. Sirois, A. G. Stahl Leiton, T. Strebler, Y. Yilmaz, A. Zabi, A. Zghiche, J.-L. Agram, J. Andrea, D. Bloch, J.-M. Brom, M. Buttignol, E. C. Chabert, N. Chanon, C. Collard, E. Conte, X. Coubez, J.-C. Fontaine, D. Gelé, U. Goerlach, M. Jansová, A.-C. Le Bihan, N. Tonon, P. Van Hove, S. Gadrat, S. Beauceron, C. Bernet, G. Boudoul, R. Chierici, D. Contardo, P. Depasse, H. El Mamouni, J. Fay, L. Finco, S. Gascon, M. Gouzevitch, G. Grenier, B. Ille, F. Lagarde, I. B. Laktineh, M. Lethuillier, L. Mirabito, A. L. Pequegnot, S. Perries, A. Popov, V. Sordini, M. Vander Donckt, S. Viret, T. Toriashvili, Z. Tsamalaidze, C. Autermann, L. Feld, M. K. Kiesel, K. Klein, M. Lipinski, M. Preuten, C. Schomakers, J. Schulz, M. Teroerde, V. Zhukov, A. Albert, E. Dietz-Laursonn, D. Duchardt, M. Endres, M. Erdmann, S. Erdweg, T. Esch, R. Fischer, A. Güth, M. Hamer, T. Hebbeker, C. Heidemann, K. Hoepfner, S. Knutzen, M. Merschmeyer, A. Meyer, P. Millet, S. Mukherjee, T. Pook, M. Radziej, H. Reithler, M. Rieger, F. Scheuch, D. Teyssier, S. Thüer, G. Flügge, B. Kargoll, T. Kress, A. Künsken, T. Müller, A. Nehrkorn, A. Nowack, C. Pistone, O. Pooth, A. Stahl, M. Aldaya Martin, T. Arndt, C. Asawatangtrakuldee, K. Beernaert, O. Behnke, U. Behrens, A. Bermúdez Martínez, A. A. Bin Anuar, K. Borras, V. Botta, A. Campbell, P. Connor, C. Contreras-Campana, F. Costanza, C. Diez Pardos, G. Eckerlin, D. Eckstein, T. Eichhorn, E. Eren, E. Gallo, J. Garay Garcia, A. Geiser, J. M. Grados Luyando, A. Grohsjean, P. Gunnellini, M. Guthoff, A. Harb, J. Hauk, M. Hempel, H. Jung, M. Kasemann, J. Keaveney, C. Kleinwort, I. Korol, D. Krücker, W. Lange, A. Lelek, T. Lenz, J. Leonard, K. Lipka, W. Lohmann, R. Mankel, I.-A. Melzer-Pellmann, A. B. Meyer, G. Mittag, J. Mnich, A. Mussgiller, E. Ntomari, D. Pitzl, A. Raspereza, M. Savitskyi, P. Saxena, R. Shevchenko, N. Stefaniuk, G. P. Van Onsem, R. Walsh, Y. Wen, K. Wichmann, C. Wissing, O. Zenaiev, R. Aggleton, S. Bein, V. Blobel, M. Centis Vignali, T. Dreyer, E. Garutti, D. Gonzalez, J. Haller, A. Hinzmann, M. Hoffmann, A. Karavdina, R. Klanner, R. Kogler, N. Kovalchuk, S. Kurz, T. Lapsien, D. Marconi, M. Meyer, M. Niedziela, D. Nowatschin, F. Pantaleo, T. Peiffer, A. Perieanu, C. Scharf, P. Schleper, A. Schmidt, S. Schumann, J. Schwandt, J. Sonneveld, H. Stadie, G. Steinbrück, F. M. Stober, M. Stöver, H. Tholen, D. Troendle, E. Usai, A. Vanhoefer, B. Vormwald, M. Akbiyik, C. Barth, M. Baselga, S. Baur, E. Butz, R. Caspart, T. Chwalek, F. Colombo, W. De Boer, A. Dierlamm, N. Faltermann, B. Freund, R. Friese, M. Giffels, M. A. Harrendorf, F. Hartmann, S. M. Heindl, U. Husemann, F. Kassel, S. Kudella, H. Mildner, M. U. Mozer, Th. Müller, M. Plagge, G. Quast, K. Rabbertz, M. Schröder, I. Shvetsov, G. Sieber, H. J. Simonis, R. Ulrich, S. Wayand, M. Weber, T. Weiler, S. Williamson, C. Wöhrmann, R. Wolf, G. Anagnostou, G. Daskalakis, T. Geralis, A. Kyriakis, D. Loukas, I. Topsis-Giotis, G. Karathanasis, S. Kesisoglou, A. Panagiotou, N. Saoulidou, K. Kousouris, I. Evangelou, C. Foudas, P. Gianneios, P. Katsoulis, P. Kokkas, S. Mallios, N. Manthos, I. Papadopoulos, E. Paradas, J. Strologas, F. A. Triantis, D. Tsitsonis, M. Csanad, N. Filipovic, G. Pasztor, O. Surányi, G. I. Veres, G. Bencze, C. Hajdu, D. Horvath, Á. Hunyadi, F. Sikler, V. Veszpremi, N. Beni, S. Czellar, J. Karancsi, A. Makovec, J. Molnar, Z. Szillasi, M. Bartók, P. Raics, Z. L. Trocsanyi, B. Ujvari, S. Choudhury, J. R. Komaragiri, S. Bahinipati, S. Bhowmik, P. Mal, K. Mandal, A. Nayak, D. K. Sahoo, N. Sahoo, S. K. Swain, S. Bansal, S. B. Beri, V. Bhatnagar, R. Chawla, N. Dhingra, A. Kaur, M. Kaur, S. Kaur, R. Kumar, P. Kumari, A. Mehta, J. B. Singh, G. Walia, Ashok Kumar, Aashaq Shah, A. Bhardwaj, S. Chauhan, B. C. Choudhary, R. B. Garg, S. Keshri, A. Kumar, S. Malhotra, M. Naimuddin, K. Ranjan, R. Sharma, R. Bhardwaj, R. Bhattacharya, S. Bhattacharya, U. Bhawandeep, S. Dey, S. Dutt, S. Dutta, N. Majumdar, A. Modak, K. Mondal, S. Mukhopadhyay, S. Nandan, A. Purohit, A. Roy, S. Roy Chowdhury, S. Sarkar, M. Sharan, S. Thakur, P. K. Behera, R. Chudasama, D. Dutta, V. Jha, V. Kumar, A. K. Mohanty, P. K. Netrakanti, L. M. Pant, P. Shukla, A. Topkar, T. Aziz, S. Dugad, B. Mahakud, S. Mitra, G. B. Mohanty, N. Sur, B. Sutar, S. Banerjee, S. Chatterjee, P. Das, M. Guchait, Sa. Jain, S. Kumar, M. Maity, G. Majumder, K. Mazumdar, T. Sarkar, N. Wickramage, S. Dube, V. Hegde, A. Kapoor, K. Kothekar, S. Pandey, A. Rane, S. Sharma, S. Chenarani, E. Eskandari Tadavani, S. M. Etesami, M. Khakzad, M. Mohammadi Najafabadi, M. Naseri, S. Paktinat Mehdiabadi, F. Rezaei Hosseinabadi, B. Safarzadeh, M. Zeinali, M. Felcini, M. Grunewald, M. Abbrescia, C. Calabria, A. Colaleo, D. Creanza, L. Cristella, N. De Filippis, M. De Palma, F. Errico, L. Fiore, G. Iaselli, S. Lezki, G. Maggi, M. Maggi, G. Miniello, S. My, S. Nuzzo, A. Pompili, G. Pugliese, R. Radogna, A. Ranieri, G. Selvaggi, A. Sharma, L. Silvestris, R. Venditti, P. Verwilligen, G. Abbiendi, C. Battilana, D. Bonacorsi, L. Borgonovi, S. Braibant-Giacomelli, R. Campanini, P. Capiluppi, A. Castro, F. R. Cavallo, S. S. Chhibra, G. Codispoti, M. Cuffiani, G. M. Dallavalle, F. Fabbri, A. Fanfani, D. Fasanella, P. Giacomelli, C. Grandi, L. Guiducci, S. Marcellini, G. Masetti, A. Montanari, F. L. Navarria, A. Perrotta, A. M. Rossi, T. Rovelli, G. P. Siroli, N. Tosi, S. Albergo, S. Costa, A. Di Mattia, F. Giordano, R. Potenza, A. Tricomi, C. Tuve, G. Barbagli, K. Chatterjee, V. Ciulli, C. Civinini, R. D’Alessandro, E. Focardi, P. Lenzi, M. Meschini, S. Paoletti, L. Russo, G. Sguazzoni, D. Strom, L. Viliani, L. Benussi, S. Bianco, D. Piccolo, F. Primavera, V. Calvelli, F. Ferro, F. Ravera, E. Robutti, S. Tosi, A. Benaglia, A. Beschi, L. Brianza, F. Brivio, V. Ciriolo, M. E. Dinardo, S. Fiorendi, S. Gennai, A. Ghezzi, P. Govoni, M. Malberti, S. Malvezzi, R. A. Manzoni, D. Menasce, L. Moroni, M. Paganoni, K. Pauwels, D. Pedrini, S. Pigazzini, S. Ragazzi, T. Tabarelli de Fatis, S. Buontempo, N. Cavallo, S. Di Guida, F. Fabozzi, F. Fienga, A. O. M. Iorio, W. A. Khan, L. Lista, S. Meola, P. Paolucci, C. Sciacca, F. Thyssen, P. Azzi, N. Bacchetta, L. Benato, D. Bisello, A. Boletti, R. Carlin, A. Carvalho Antunes De Oliveira, P. Checchia, M. Dall’Osso, P. De Castro Manzano, T. Dorigo, F. Gasparini, U. Gasparini, A. Gozzelino, S. Lacaprara, P. Lujan, M. Margoni, A. T. Meneguzzo, N. Pozzobon, P. Ronchese, R. Rossin, F. Simonetto, E. Torassa, S. Ventura, M. Zanetti, P. Zotto, A. Braghieri, A. Magnani, P. Montagna, S. P. Ratti, V. Re, M. Ressegotti, C. Riccardi, P. Salvini, I. Vai, P. Vitulo, L. Alunni Solestizi, M. Biasini, G. M. Bilei, C. Cecchi, D. Ciangottini, L. Fanò, R. Leonardi, E. Manoni, G. Mantovani, V. Mariani, M. Menichelli, A. Rossi, A. Santocchia, D. Spiga, K. Androsov, P. Azzurri, G. Bagliesi, T. Boccali, L. Borrello, R. Castaldi, M. A. Ciocci, R. Dell’Orso, G. Fedi, L. Giannini, A. Giassi, M. T. Grippo, F. Ligabue, T. Lomtadze, E. Manca, G. Mandorli, A. Messineo, F. Palla, A. Rizzi, A. Savoy-Navarro, P. Spagnolo, R. Tenchini, G. Tonelli, A. Venturi, P. G. Verdini, L. Barone, F. Cavallari, M. Cipriani, N. Daci, D. Del Re, E. Di Marco, M. Diemoz, S. Gelli, E. Longo, F. Margaroli, B. Marzocchi, P. Meridiani, G. Organtini, R. Paramatti, F. Preiato, S. Rahatlou, C. Rovelli, F. Santanastasio, N. Amapane, R. Arcidiacono, S. Argiro, M. Arneodo, N. Bartosik, R. Bellan, C. Biino, N. Cartiglia, F. Cenna, M. Costa, R. Covarelli, A. Degano, N. Demaria, B. Kiani, C. Mariotti, S. Maselli, E. Migliore, V. Monaco, E. Monteil, M. Monteno, M. M. Obertino, L. Pacher, N. Pastrone, M. Pelliccioni, G. L. Pinna Angioni, A. Romero, M. Ruspa, R. Sacchi, K. Shchelina, V. Sola, A. Solano, A. Staiano, P. Traczyk, S. Belforte, M. Casarsa, F. Cossutti, G. Della Ricca, A. Zanetti, D. H. Kim, G. N. Kim, M. S. Kim, J. Lee, S. Lee, S. W. Lee, C. S. Moon, Y. D. Oh, S. Sekmen, D. C. Son, Y. C. Yang, A. Lee, H. Kim, D. H. Moon, G. Oh, J. A. Brochero Cifuentes, J. Goh, T. J. Kim, S. Cho, S. Choi, Y. Go, D. Gyun, S. Ha, B. Hong, Y. Jo, Y. Kim, K. Lee, K. S. Lee, J. Lim, S. K. Park, Y. Roh, J. Almond, J. Kim, J. S. Kim, H. Lee, K. Nam, S. B. Oh, B. C. Radburn-Smith, S. H. Seo, U. K. Yang, H. D. Yoo, G. B. Yu, J. H. Kim, J. S. H. Lee, I. C. Park, Y. Choi, C. Hwang, I. Yu, V. Dudenas, A. Juodagalvis, J. Vaitkus, I. Ahmed, Z. A. Ibrahim, M. A. B. Md Ali, F. Mohamad Idris, W. A. T. Wan Abdullah, M. N. Yusli, Z. Zolkapli, R. Reyes-Almanza, G. Ramirez-Sanchez, M. C. Duran-Osuna, H. Castilla-Valdez, E. De La Cruz-Burelo, I. Heredia-De La Cruz, R. I. Rabadan-Trejo, R. Lopez-Fernandez, J. Mejia Guisao, A. Sanchez-Hernandez, S. Carrillo Moreno, C. Oropeza Barrera, F. Vazquez Valencia, J. Eysermans, I. Pedraza, H. A. Salazar Ibarguen, C. Uribe Estrada, A. Morelos Pineda, D. Krofcheck, P. H. Butler, A. Ahmad, Q. Hassan, H. R. Hoorani, A. Saddique, M. A. Shah, M. Shoaib, M. Waqas, H. Bialkowska, M. Bluj, B. Boimska, T. Frueboes, M. Górski, M. Kazana, K. Nawrocki, M. Szleper, P. Zalewski, K. Bunkowski, A. Byszuk, K. Doroba, A. Kalinowski, M. Konecki, J. Krolikowski, M. Misiura, M. Olszewski, A. Pyskir, M. Walczak, P. Bargassa, C. Beirão Da Cruz E Silva, A. Di Francesco, P. Faccioli, B. Galinhas, M. Gallinaro, J. Hollar, N. Leonardo, L. Lloret Iglesias, M. V. Nemallapudi, J. Seixas, G. Strong, O. Toldaiev, D. Vadruccio, J. Varela, A. Baginyan, A. Golunov, I. Golutvin, V. Karjavin, V. Korenkov, G. Kozlov, A. Lanev, A. Malakhov, V. Matveev, V. V. Mitsyn, V. Palichik, V. Perelygin, S. Shmatov, N. Skatchkov, V. Smirnov, B. S. Yuldashev, A. Zarubin, V. Zhiltsov, Y. Ivanov, V. Kim, E. Kuznetsova, P. Levchenko, V. Murzin, V. Oreshkin, I. Smirnov, D. Sosnov, V. Sulimov, L. Uvarov, S. Vavilov, A. Vorobyev, Yu. Andreev, A. Dermenev, S. Gninenko, N. Golubev, A. Karneyeu, M. Kirsanov, N. Krasnikov, A. Pashenkov, D. Tlisov, A. Toropin, V. Epshteyn, V. Gavrilov, N. Lychkovskaya, V. Popov, I. Pozdnyakov, G. Safronov, A. Spiridonov, A. Stepennov, M. Toms, E. Vlasov, A. Zhokin, T. Aushev, A. Bylinkin, M. Chadeeva, P. Parygin, D. Philippov, S. Polikarpov, E. Popova, V. Rusinov, V. Andreev, M. Azarkin, I. Dremin, M. Kirakosyan, A. Terkulov, A. Baskakov, A. Belyaev, E. Boos, A. Demiyanov, A. Ershov, A. Gribushin, O. Kodolova, V. Korotkikh, I. Lokhtin, I. Miagkov, S. Obraztsov, S. Petrushanko, V. Savrin, A. Snigirev, I. Vardanyan, V. Blinov, D. Shtol, Y. Skovpen, I. Azhgirey, I. Bayshev, S. Bitioukov, D. Elumakhov, A. Godizov, V. Kachanov, A. Kalinin, D. Konstantinov, P. Mandrik, V. Petrov, R. Ryutin, A. Sobol, S. Troshin, N. Tyurin, A. Uzunian, A. Volkov, P. Adzic, P. Cirkovic, D. Devetak, M. Dordevic, J. Milosevic, V. Rekovic, J. Alcaraz Maestre, A. Álvarez Fernández, I. Bachiller, M. Barrio Luna, M. Cerrada, N. Colino, B. De La Cruz, A. Delgado Peris, C. Fernandez Bedoya, J. P. Fernández Ramos, J. Flix, M. C. Fouz, O. Gonzalez Lopez, S. Goy Lopez, J. M. Hernandez, M. I. Josa, D. Moran, A. Pérez-Calero Yzquierdo, J. Puerta Pelayo, A. Quintario Olmeda, I. Redondo, L. Romero, M. S. Soares, C. Albajar, J. F. de Trocóniz, M. Missiroli, J. Cuevas, C. Erice, J. Fernandez Menendez, I. Gonzalez Caballero, J. R. González Fernández, E. Palencia Cortezon, S. Sanchez Cruz, P. Vischia, J. M. Vizan Garcia, I. J. Cabrillo, A. Calderon, B. Chazin Quero, E. Curras, J. Duarte Campderros, M. Fernandez, J. Garcia-Ferrero, G. Gomez, A. Lopez Virto, J. Marco, C. Martinez Rivero, P. Martinez Ruiz del Arbol, F. Matorras, J. Piedra Gomez, T. Rodrigo, A. Ruiz-Jimeno, L. Scodellaro, N. Trevisani, I. Vila, R. Vilar Cortabitarte, D. Abbaneo, B. Akgun, E. Auffray, P. Baillon, A. H. Ball, D. Barney, J. Bendavid, M. Bianco, P. Bloch, A. Bocci, C. Botta, T. Camporesi, R. Castello, M. Cepeda, G. Cerminara, E. Chapon, D. d’Enterria, A. Dabrowski, V. Daponte, A. David, M. De Gruttola, A. De Roeck, N. Deelen, M. Dobson, T. du Pree, M. Dünser, N. Dupont, A. Elliott-Peisert, P. Everaerts, F. Fallavollita, G. Franzoni, J. Fulcher, W. Funk, D. Gigi, A. Gilbert, K. Gill, F. Glege, D. Gulhan, P. Harris, J. Hegeman, V. Innocente, A. Jafari, P. Janot, O. Karacheban, J. Kieseler, V. Knünz, A. Kornmayer, M. J. Kortelainen, M. Krammer, C. Lange, P. Lecoq, C. Lourenço, M. T. Lucchini, L. Malgeri, M. Mannelli, A. Martelli, F. Meijers, J. A. Merlin, S. Mersi, E. Meschi, P. Milenovic, F. Moortgat, M. Mulders, H. Neugebauer, J. Ngadiuba, S. Orfanelli, L. Orsini, L. Pape, E. Perez, M. Peruzzi, A. Petrilli, G. Petrucciani, A. Pfeiffer, M. Pierini, D. Rabady, A. Racz, T. Reis, G. Rolandi, M. Rovere, H. Sakulin, C. Schäfer, C. Schwick, M. Seidel, M. Selvaggi, P. Silva, P. Sphicas, A. Stakia, J. Steggemann, M. Stoye, M. Tosi, D. Treille, A. Triossi, A. Tsirou, V. Veckalns, M. Verweij, W. D. Zeuner, W. Bertl, L. Caminada, K. Deiters, W. Erdmann, R. Horisberger, Q. Ingram, H. C. Kaestli, D. Kotlinski, U. Langenegger, T. Rohe, S. A. Wiederkehr, M. Backhaus, L. Bäni, P. Berger, L. Bianchini, B. Casal, G. Dissertori, M. Dittmar, M. Donegà, C. Dorfer, C. Grab, C. Heidegger, D. Hits, J. Hoss, G. Kasieczka, T. Klijnsma, W. Lustermann, B. Mangano, M. Marionneau, M. T. Meinhard, D. Meister, F. Micheli, P. Musella, F. Nessi-Tedaldi, F. Pandolfi, J. Pata, F. Pauss, G. Perrin, L. Perrozzi, M. Quittnat, M. Reichmann, D. A. Sanz Becerra, M. Schönenberger, L. Shchutska, V. R. Tavolaro, K. Theofilatos, M. L. Vesterbacka Olsson, R. Wallny, D. H. Zhu, T. K. Aarrestad, C. Amsler, M. F. Canelli, A. De Cosa, R. Del Burgo, S. Donato, C. Galloni, T. Hreus, B. Kilminster, D. Pinna, G. Rauco, P. Robmann, D. Salerno, K. Schweiger, C. Seitz, Y. Takahashi, A. Zucchetta, V. Candelise, Y. H. Chang, K. y. Cheng, T. H. Doan, Sh. Jain, R. Khurana, C. M. Kuo, W. Lin, A. Pozdnyakov, S. S. Yu, Arun Kumar, P. Chang, Y. Chao, K. F. Chen, P. H. Chen, F. Fiori, W.-S. Hou, Y. Hsiung, Y. F. Liu, R.-S. Lu, E. Paganis, A. Psallidas, A. Steen, J. F. Tsai, B. Asavapibhop, K. Kovitanggoon, G. Singh, N. Srimanobhas, M. N. Bakirci, A. Bat, F. Boran, S. Damarseckin, Z. S. Demiroglu, C. Dozen, E. Eskut, S. Girgis, G. Gokbulut, Y. Guler, I. Hos, E. E. Kangal, O. Kara, U. Kiminsu, M. Oglakci, G. Onengut, K. Ozdemir, S. Ozturk, D. Sunar Cerci, U. G. Tok, H. Topakli, S. Turkcapar, I. S. Zorbakir, C. Zorbilmez, G. Karapinar, K. Ocalan, M. Yalvac, M. Zeyrek, E. Gülmez, M. Kaya, O. Kaya, S. Tekten, E. A. Yetkin, M. N. Agaras, S. Atay, A. Cakir, K. Cankocak, I. Köseoglu, B. Grynyov, L. Levchuk, F. Ball, L. Beck, J. J. Brooke, D. Burns, E. Clement, D. Cussans, O. Davignon, H. Flacher, J. Goldstein, G. P. Heath, H. F. Heath, L. Kreczko, D. M. Newbold, S. Paramesvaran, T. Sakuma, S. Seif El Nasr-storey, D. Smith, V. J. Smith, C. Brew, R. M. Brown, L. Calligaris, D. Cieri, D. J. A. Cockerill, J. A. Coughlan, K. Harder, S. Harper, J. Linacre, E. Olaiya, D. Petyt, C. H. Shepherd-Themistocleous, A. Thea, I. R. Tomalin, T. Williams, G. Auzinger, R. Bainbridge, J. Borg, S. Breeze, O. Buchmuller, A. Bundock, S. Casasso, M. Citron, D. Colling, L. Corpe, P. Dauncey, G. Davies, A. De Wit, M. Della Negra, R. Di Maria, A. Elwood, Y. Haddad, G. Hall, G. Iles, T. James, R. Lane, C. Laner, L. Lyons, A.-M. Magnan, S. Malik, L. Mastrolorenzo, T. Matsushita, J. Nash, A. Nikitenko, V. Palladino, M. Pesaresi, D. M. Raymond, A. Richards, A. Rose, E. Scott, C. Seez, A. Shtipliyski, S. Summers, A. Tapper, K. Uchida, M. Vazquez Acosta, T. Virdee, N. Wardle, D. Winterbottom, J. Wright, S. C. Zenz, J. E. Cole, P. R. Hobson, A. Khan, P. Kyberd, I. D. Reid, L. Teodorescu, S. Zahid, A. Borzou, K. Call, J. Dittmann, K. Hatakeyama, H. Liu, N. Pastika, C. Smith, R. Bartek, A. Dominguez, A. Buccilli, S. I. Cooper, C. Henderson, P. Rumerio, C. West, D. Arcaro, A. Avetisyan, T. Bose, D. Gastler, D. Rankin, C. Richardson, J. Rohlf, L. Sulak, D. Zou, G. Benelli, D. Cutts, A. Garabedian, M. Hadley, J. Hakala, U. Heintz, J. M. Hogan, K. H. M. Kwok, E. Laird, G. Landsberg, Z. Mao, M. Narain, J. Pazzini, S. Piperov, S. Sagir, R. Syarif, D. Yu, R. Band, C. Brainerd, R. Breedon, M. Calderon De La Barca Sanchez, M. Chertok, J. Conway, R. Conway, P. T. Cox, R. Erbacher, C. Flores, G. Funk, W. Ko, R. Lander, C. Mclean, M. Mulhearn, D. Pellett, J. Pilot, S. Shalhout, M. Shi, J. Smith, D. Stolp, K. Tos, M. Tripathi, M. Bachtis, C. Bravo, R. Cousins, A. Dasgupta, A. Florent, J. Hauser, M. Ignatenko, N. Mccoll, S. Regnard, D. Saltzberg, C. Schnaible, V. Valuev, E. Bouvier, K. Burt, R. Clare, J. Ellison, J. W. Gary, S. M. A. Ghiasi Shirazi, G. Hanson, J. Heilman, G. Karapostoli, E. Kennedy, F. Lacroix, O. R. Long, M. Olmedo Negrete, M. I. Paneva, W. Si, L. Wang, H. Wei, S. Wimpenny, B. R. Yates, J. G. Branson, S. Cittolin, M. Derdzinski, R. Gerosa, D. Gilbert, B. Hashemi, A. Holzner, D. Klein, G. Kole, V. Krutelyov, J. Letts, M. Masciovecchio, D. Olivito, S. Padhi, M. Pieri, M. Sani, V. Sharma, M. Tadel, A. Vartak, S. Wasserbaech, J. Wood, F. Würthwein, A. Yagil, G. Zevi Della Porta, N. Amin, R. Bhandari, J. Bradmiller-Feld, C. Campagnari, A. Dishaw, V. Dutta, M. Franco Sevilla, L. Gouskos, R. Heller, J. Incandela, A. Ovcharova, H. Qu, J. Richman, D. Stuart, I. Suarez, J. Yoo, D. Anderson, A. Bornheim, J. M. Lawhorn, H. B. Newman, T. Nguyen, C. Pena, M. Spiropulu, J. R. Vlimant, S. Xie, Z. Zhang, R. Y. Zhu, M. B. Andrews, T. Ferguson, T. Mudholkar, M. Paulini, J. Russ, M. Sun, H. Vogel, I. Vorobiev, M. Weinberg, J. P. Cumalat, W. T. Ford, F. Jensen, A. Johnson, M. Krohn, S. Leontsinis, T. Mulholland, K. Stenson, S. R. Wagner, J. Alexander, J. Chaves, J. Chu, S. Dittmer, K. Mcdermott, N. Mirman, J. R. Patterson, D. Quach, A. Rinkevicius, A. Ryd, L. Skinnari, L. Soffi, S. M. Tan, Z. Tao, J. Thom, J. Tucker, P. Wittich, M. Zientek, S. Abdullin, M. Albrow, M. Alyari, G. Apollinari, A. Apresyan, A. Apyan, L. A. T. Bauerdick, A. Beretvas, J. Berryhill, P. C. Bhat, G. Bolla, K. Burkett, J. N. Butler, A. Canepa, G. B. Cerati, H. W. K. Cheung, F. Chlebana, M. Cremonesi, J. Duarte, V. D. Elvira, J. Freeman, Z. Gecse, E. Gottschalk, L. Gray, D. Green, S. Grünendahl, O. Gutsche, R. M. Harris, S. Hasegawa, J. Hirschauer, Z. Hu, B. Jayatilaka, S. Jindariani, M. Johnson, U. Joshi, B. Klima, B. Kreis, S. Lammel, D. Lincoln, R. Lipton, M. Liu, T. Liu, R. Lopes De Sá, J. Lykken, K. Maeshima, N. Magini, J. M. Marraffino, D. Mason, P. McBride, P. Merkel, S. Mrenna, S. Nahn, V. O’Dell, K. Pedro, O. Prokofyev, G. Rakness, L. Ristori, B. Schneider, E. Sexton-Kennedy, A. Soha, W. J. Spalding, L. Spiegel, S. Stoynev, J. Strait, N. Strobbe, L. Taylor, S. Tkaczyk, N. V. Tran, L. Uplegger, E. W. Vaandering, C. Vernieri, M. Verzocchi, R. Vidal, M. Wang, H. A. Weber, A. Whitbeck, D. Acosta, P. Avery, P. Bortignon, D. Bourilkov, A. Brinkerhoff, A. Carnes, M. Carver, D. Curry, R. D. Field, I. K. Furic, S. V. Gleyzer, B. M. Joshi, J. Konigsberg, A. Korytov, K. Kotov, P. Ma, K. Matchev, H. Mei, G. Mitselmakher, K. Shi, D. Sperka, N. Terentyev, L. Thomas, J. Wang, S. Wang, J. Yelton, Y. R. Joshi, S. Linn, P. Markowitz, J. L. Rodriguez, A. Ackert, T. Adams, A. Askew, S. Hagopian, V. Hagopian, K. F. Johnson, T. Kolberg, G. Martinez, T. Perry, H. Prosper, A. Saha, A. Santra, R. Yohay, M. M. Baarmand, V. Bhopatkar, S. Colafranceschi, M. Hohlmann, D. Noonan, T. Roy, F. Yumiceva, M. R. Adams, L. Apanasevich, D. Berry, R. R. Betts, R. Cavanaugh, X. Chen, O. Evdokimov, C. E. Gerber, D. A. Hangal, D. J. Hofman, K. Jung, J. Kamin, I. D. Sandoval Gonzalez, M. B. Tonjes, H. Trauger, N. Varelas, H. Wang, Z. Wu, J. Zhang, B. Bilki, W. Clarida, K. Dilsiz, S. Durgut, R. P. Gandrajula, M. Haytmyradov, V. Khristenko, J.-P. Merlo, H. Mermerkaya, A. Mestvirishvili, A. Moeller, J. Nachtman, H. Ogul, Y. Onel, F. Ozok, A. Penzo, C. Snyder, E. Tiras, J. Wetzel, K. Yi, B. Blumenfeld, A. Cocoros, N. Eminizer, D. Fehling, L. Feng, A. V. Gritsan, P. Maksimovic, J. Roskes, U. Sarica, M. Swartz, M. Xiao, C. You, A. Al-bataineh, P. Baringer, A. Bean, S. Boren, J. Bowen, J. Castle, S. Khalil, A. Kropivnitskaya, D. Majumder, W. Mcbrayer, M. Murray, C. Royon, S. Sanders, E. Schmitz, J. D. Tapia Takaki, Q. Wang, A. Ivanov, K. Kaadze, Y. Maravin, A. Mohammadi, L. K. Saini, N. Skhirtladze, F. Rebassoo, D. Wright, C. Anelli, A. Baden, O. Baron, A. Belloni, S. C. Eno, Y. Feng, C. Ferraioli, N. J. Hadley, S. Jabeen, G. Y. Jeng, R. G. Kellogg, J. Kunkle, A. C. Mignerey, F. Ricci-Tam, Y. H. Shin, A. Skuja, S. C. Tonwar, D. Abercrombie, B. Allen, V. Azzolini, R. Barbieri, A. Baty, R. Bi, S. Brandt, W. Busza, I. A. Cali, M. D’Alfonso, Z. Demiragli, G. Gomez Ceballos, M. Goncharov, D. Hsu, M. Hu, Y. Iiyama, G. M. Innocenti, M. Klute, D. Kovalskyi, Y.-J. Lee, A. Levin, P. D. Luckey, B. Maier, A. C. Marini, C. Mcginn, C. Mironov, S. Narayanan, X. Niu, C. Paus, C. Roland, G. Roland, J. Salfeld-Nebgen, G. S. F. Stephans, K. Tatar, D. Velicanu, T. W. Wang, B. Wyslouch, A. C. Benvenuti, R. M. Chatterjee, A. Evans, P. Hansen, J. Hiltbrand, S. Kalafut, Y. Kubota, Z. Lesko, J. Mans, S. Nourbakhsh, N. Ruckstuhl, R. Rusack, J. Turkewitz, M. A. Wadud, J. G. Acosta, S. Oliveros, E. Avdeeva, K. Bloom, D. R. Claes, C. Fangmeier, F. Golf, R. Gonzalez Suarez, R. Kamalieddin, I. Kravchenko, J. Monroy, J. E. Siado, G. R. Snow, B. Stieger, J. Dolen, A. Godshalk, C. Harrington, I. Iashvili, D. Nguyen, A. Parker, S. Rappoccio, B. Roozbahani, G. Alverson, E. Barberis, C. Freer, A. Hortiangtham, A. Massironi, D. M. Morse, T. Orimoto, R. Teixeira De Lima, D. Trocino, T. Wamorkar, B. Wang, A. Wisecarver, D. Wood, O. Charaf, K. A. Hahn, N. Mucia, N. Odell, M. H. Schmitt, K. Sung, M. Trovato, M. Velasco, R. Bucci, N. Dev, M. Hildreth, K. Hurtado Anampa, C. Jessop, D. J. Karmgard, N. Kellams, K. Lannon, W. Li, N. Loukas, N. Marinelli, F. Meng, C. Mueller, Y. Musienko, M. Planer, A. Reinsvold, R. Ruchti, P. Siddireddy, G. Smith, S. Taroni, M. Wayne, A. Wightman, M. Wolf, A. Woodard, J. Alimena, L. Antonelli, B. Bylsma, L. S. Durkin, S. Flowers, B. Francis, A. Hart, C. Hill, W. Ji, B. Liu, W. Luo, B. L. Winer, H. W. Wulsin, S. Cooperstein, O. Driga, P. Elmer, J. Hardenbrook, P. Hebda, S. Higginbotham, A. Kalogeropoulos, D. Lange, J. Luo, D. Marlow, K. Mei, I. Ojalvo, J. Olsen, C. Palmer, P. Piroué, D. Stickland, C. Tully, S. Norberg, A. Barker, V. E. Barnes, S. Das, S. Folgueras, L. Gutay, M. K. Jha, M. Jones, A. W. Jung, A. Khatiwada, D. H. Miller, N. Neumeister, C. C. Peng, H. Qiu, J. F. Schulte, J. Sun, F. Wang, R. Xiao, W. Xie, T. Cheng, N. Parashar, J. Stupak, Z. Chen, K. M. Ecklund, S. Freed, F. J. M. Geurts, M. Guilbaud, M. Kilpatrick, B. Michlin, B. P. Padley, J. Roberts, J. Rorie, W. Shi, Z. Tu, J. Zabel, A. Zhang, A. Bodek, P. de Barbaro, R. Demina, Y. t. Duh, T. Ferbel, M. Galanti, A. Garcia-Bellido, J. Han, O. Hindrichs, A. Khukhunaishvili, K. H. Lo, P. Tan, M. Verzetti, R. Ciesielski, K. Goulianos, C. Mesropian, A. Agapitos, J. P. Chou, Y. Gershtein, T. A. Gómez Espinosa, E. Halkiadakis, M. Heindl, E. Hughes, S. Kaplan, R. Kunnawalkam Elayavalli, S. Kyriacou, A. Lath, R. Montalvo, K. Nash, M. Osherson, H. Saka, S. Salur, S. Schnetzer, D. Sheffield, S. Somalwar, R. Stone, S. Thomas, P. Thomassen, M. Walker, A. G. Delannoy, J. Heideman, G. Riley, K. Rose, S. Spanier, K. Thapa, O. Bouhali, A. Castaneda Hernandez, A. Celik, M. Dalchenko, M. De Mattia, A. Delgado, S. Dildick, R. Eusebi, J. Gilmore, T. Huang, T. Kamon, R. Mueller, Y. Pakhotin, R. Patel, A. Perloff, L. Perniè, D. Rathjens, A. Safonov, A. Tatarinov, K. A. Ulmer, N. Akchurin, J. Damgov, F. De Guio, P. R. Dudero, J. Faulkner, E. Gurpinar, S. Kunori, K. Lamichhane, T. Libeiro, T. Mengke, S. Muthumuni, T. Peltola, S. Undleeb, I. Volobouev, S. Greene, A. Gurrola, R. Janjam, W. Johns, C. Maguire, A. Melo, H. Ni, K. Padeken, P. Sheldon, S. Tuo, J. Velkovska, Q. Xu, M. W. Arenton, P. Barria, B. Cox, R. Hirosky, M. Joyce, A. Ledovskoy, H. Li, C. Neu, T. Sinthuprasith, E. Wolfe, F. Xia, R. Harr, P. E. Karchin, N. Poudyal, J. Sturdy, P. Thapa, S. Zaleski, M. Brodski, J. Buchanan, C. Caillol, S. Dasu, L. Dodd, S. Duric, B. Gomber, M. Grothe, M. Herndon, A. Hervé, U. Hussain, P. Klabbers, A. Lanaro, A. Levine, K. Long, R. Loveless, T. Ruggles, A. Savin, N. Smith, W. H. Smith, D. Taylor, N. Woods, and CMS Collaboration

Subjects
Astrophysics, QB460-466, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Published
2023
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34. Suicide resilience, identity crisis and quality of life in burned adolescents

Author

Fateme Mohammadi, Khodayar Oshvandi, Seyed Reza Borzou, Masood Khodaveisi, Salman Khazaei, Mohammad Reza Shokouhi, Fatemeh Nouri, Mohammad Taheri, and Majid Kalbasi

Subjects
adolescents, burn, identity crisis, quality of life, suicide resilience, Nursing, RT1-120
Abstract

Abstract Aim The aim of this study was to investigate the relationship between identity crisis and suicide resilience and quality of life in adolescents with burns in Iranian society. Design A cross‐sectional study. Methods Four hundred thirty adolescents with burn in three hospitals were selected via convenience sampling. They completed questionnaires online. Data were analysed by SPSS software version 22. Results Findings showed a strong and inverse correlation between identity crisis with suicide resilience (r = −.92, p

Published
2023
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37. Evaluation of Essential Oil, Morphological Traits and Crop Yield in Satureja mutica Fisch. & C. A. Mey. in Rainfed Cultivation under Different Row Spacing

Author

Borzou Yousefi and Hoshmand Safari

Subjects
carvacrol, essential oil, multivariate analysis, thymol, white savory, yield, Agriculture
Abstract

Rainfed cultivation of drought-tolerant medicinal plants is a way to decrease of using water in agricultural systems. Satureja mutica (white savory) needs little water requirement and it is tolerant to drought. To investigate the change in essential oil (EO) quality and quantity, plant yield and yield components of white savory under different planting densities in rainfed cultivation, an experiment was conducted by completely randomized factorial design with three replications during 2017- 2018 and 2018- 2019 crop years. The row spacing treatments were 25×50 cm, 50×50 cm and 75× 50 cm. Results showed that the highest percentage of plant survival (63.37%) was observed in the lowest density (75×50 cm). The highest plant height (35.40 cm) was observed in the second year× low density. The highest average crown diameter (34.35 cm), the highest fresh weight of the plant (49.01 g), and the maximum plant dry weight (23.54 g) were obtained in the treatments of medium density planting× second year. The highest wet yield (2940.46 kgha-1), dry yield (1319.00 kgha-1) and EO yield (26.62 kgha-1) were obtained in the treatment of high planting density× year2. The highest EO percentage (2.04%) was found in the treatment of low planting density (75×50 cm). the highest percentage of thymol (57.7%) was obtained in 50 × 50 cm row spacing and the highest percentage of carvacrol (7.59%) was obtained from 75 × 50 cm row spacing. In rainfed conditions, the suitable distance between the cultivation lines is 25 × 50 cm.

Published
2022
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38. Investigating the relationship between domestic violence with substance abuse and suicide resilience in mothers with disabled children

Author

Fateme Mohammadi, Majid Barati, Seyed Reza Borzou, Elahe Ezati, Khadejeh Mohammadi, Zahra Mohammadi, Salman Khazaei, and Seyedeh Zahra Masoumi

Subjects
domestic violence, substance abuse, suicide resilience, mothers, disability, children, Public aspects of medicine, RA1-1270
Abstract

IntroductionMothers with disabled children are among the most critical groups exposed to domestic violence. Although domestic violence strongly affects these mothers’ physical and mental health, it subsequently affects their drug addiction and resilience to suicide. Based on this, it is crucial to investigate domestic violence, drug addiction, and resilience against suicide in mothers with disabled children. This study investigated the relationship between domestic violence, substance dependence, and resilience against suicide in mothers with disabled children in Iranian society.MethodsFrom January to April 2023, a cross-sectional study was conducted in central and western Iran with the participation of 267 mothers with disabled children. The mothers of disabled children were selected through convenience and snowball sampling. Then they completed questionnaires included domestic violence, substance dependence and resilience against suicide. The collected data were analyzed using SPSS version 22 with descriptive statistics, such as prevalence, percentage, mean, and standard deviation, and expository measurements, including ANOVA, independent t, and regression tests.ResultsThe study revealed that there was a strong direct correlation between domestic violence and substance abuse (r = 0.89, p

Published
2023
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40. Degenerate Dark Matter at Galactic Scales: A BCS Theory

Author

Borzou, Ahmad

Subjects
Astrophysics - Astrophysics of Galaxies, Condensed Matter - Superconductivity, High Energy Physics - Theory
Abstract

We show that if dark matter in a typical galaxy is a degenerate Fermi gas, particles should have a mass of $\sim$ 1eV for the galaxy to be stable. While this is the mass range of the active neutrinos, they are not a dark matter candidate in SM-GR-$\Lambda$-CDM. To show that the bounds on active neutrino dark matter are model dependent, we explore the predictions of SM-LGT cosmological model. First, primordial neutrinos are predicted to freeze-out non-relativistically at early universe without affecting the expansion rate. Second, they make a degenerate gas in galaxies at the present time. Third, SM-LGT Hamiltonian at low temperatures is identical with that of the BCS theory of superconductivity. Consequently, there exists a narrow band of compressible condensed bosonic bound states on top of the Fermi surface which forms some denser structures., Comment: 8 pages, 3 figures

Published
2018

41. Renormalized Normalized Maximum Likelihood and Three-Part Code Criteria For Learning Gaussian Networks

Author

Alipourfard, Borzou and Gao, Jean X.

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Score based learning (SBL) is a promising approach for learning Bayesian networks in the discrete domain. However, when employing SBL in the continuous domain, one is either forced to move the problem to the discrete domain or use metrics such as BIC/AIC, and these approaches are often lacking. Discretization can have an undesired impact on the accuracy of the results, and BIC/AIC can fall short of achieving the desired accuracy. In this paper, we introduce two new scoring metrics for scoring Bayesian networks in the continuous domain: the three-part minimum description length and the renormalized normalized maximum likelihood metric. We rely on the minimum description length principle in formulating these metrics. The metrics proposed are free of hyperparameters, decomposable, and are asymptotically consistent. We evaluate our solution by studying the convergence rate of the learned graph to the generating network and, also, the structural hamming distance of the learned graph to the generating network. Our evaluations show that the proposed metrics outperform their competitors, the BIC/AIC metrics. Furthermore, using the proposed RNML metric, SBL will have the fastest rate of convergence with the smallest structural hamming distance to the generating network., Comment: This work has been submitted to a journal for possible publication

Published
2018

42. Path Integral Quantization of Lorentz Gauge Theory of Gravity: With a Proof of Unitarity and Full Renormalizability in the Vacuum

Author

Borzou, Ahmad

Subjects
Physics - General Physics, High Energy Physics - Theory
Abstract

We show that a spinless theory of gravity is also allowed by the kinematics of general relativity. In the absence of fermions the spinless theory of gravity and the theories in the standard model of particle physics are the same Yang-Mills theories with different gauge groups. Therefore, every theorem of a pure Yang-Mills theory is valid for the spinless theory of gravity in vacuum, i.e. it is unitary and renormalizable to all orders. When fermions are present the spinless theory of gravity has an extra constraint due to the tetrad postulate. A path integral quantization of this theory and all the Feynman rules are presented., Comment: 11 pages

Published
2018

43. Care burden, coping styles and involvement in care in mothers of autistic children in pandemic of COVID‐19

Author

Fateme Mohammad, Niloofar Sani, Khodayar Oshvandi, Seyedeh Zahra Masoumi, Salman Khazaei, Saeid Bashirian, Ensiyeh Jenabi, Majid Barati, Mohammad Rezaei, and Seyed Reza Borzou

Subjects
autistic children COVID‐19, care burden, coping styles, involvement in care, mothers, Nursing, RT1-120
Abstract

Abstract Aim The aim of the present study was to investigate the burden of care, coping styles and involvement in the care of mothers of autistic children in the pandemic of COVID‐19 in Iranian society. Design A cross‐sectional study. Methods A total of 134 mothers completed questionnaires online. Data were analysed by descriptive statistics (frequency, percentage, mean and standard deviation) and independent t‐test, ANOVA and multiple linear regressions. The significance level was considered p

Published
2022
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44. Perception of facing life's challenges in patients with spinal cord injury in Iran: a qualitative study

Author

Fateme Mohammadi, Khodayar Oshvandi, Mostafa Bijani, Seyed Reza Borzou, Masoud khodaveisi, and Seyedeh Zahra Masoumi

Subjects
Patient, Spinal cord injuries, Life's challenges, Qualitative study, Psychology, BF1-990
Abstract

Abstract Background Spinal cord injury (SCI) is one of the most serious types of physical trauma and has become a major life-threatening condition in the recent decade. It is essential that the life perception and experiences of patients with SCI be studied and evaluated in different cultural contexts so that their needs and the challenges they face can be properly determined. The present study aims to explore the how patients with SCI in the south of Iran perceive facing life's challenges. Methods The present study is a qualitative research with a descriptive phenomenological design. Participants were identified through purposive sampling of patients with spinal cord injury admitted to two state hospitals affiliated with a university of medical sciences in western Iran. The researchers collected data using semi-structured, in-depth interviews with 25 SCI patients conducted between August and October 2021. Data was analyzed according to Colaizzi's method using MAXQDA v. 2007. Results Analysis of the data led to the emergence of three themes and nine sub-themes. The three main themes were emotional shock (crisis making and mental rumination, persistent depressive disorder, pitying behaviors, fear of the future), loss of dignity (poor self- care, sexual dysfunction, loss of job and educational status), and lack of effective support (lack of financial institutions and sponsors, lack of social support). Conclusion Patients with spinal cord injuries face various issues in their care and social lives. Attention to their psycho-emotional needs along with comprehensive health support play key roles in generating a sense of self efficacy and promoting the mental well-being and dignity of patients with spinal cord injuries. Accordingly, healthcare administrators and caregivers are recommended to provide more comprehensive health support to SCI patients to meet their needs more effectively.

Published
2022
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46. The Nursing Process of a Adolescence Patient with Hyperglycemia According to King's Goal Attainment Model: A Case Study

Author

Arash Khalil, Seyed Reza Borzou, Mahnaz Khatiban, and Fatemeh Cheraghi

Subjects
patients, adolescent, nursing process, hyperglycemia, glycated hemoglobin a, Medicine, Medicine (General), R5-920, Psychology, BF1-990
Abstract

Background and Objectives: Hyperglycemia can increase anxiety, depression, and stress in patients with type 1 diabetes, and as a result, poor control of the disease and a decrease in the patient's quality of life. The present study aimed to present the nursing process of an adolescent with hyperglycemia based on King's goal achievement model. Materials and Methods: In the present case study, the research sample was a teenage client with frequent hyperglycemia who had visited the hospital several times and was hospitalized. For this purpose, sample selection was performed by available sampling from the research community (i.e., teenagers hospitalized in Hamedan Children's Department with hyperglycemia diagnosis). Data collection was performed through the client's file, interview, and observation of the client, family, doctor, and nurse. The nursing process, according to King's goal achievement model, started after the patient accepted the researcher's request on the last day of hospitalization. The stages of the nursing process(i.e., examination, diagnosis of nursing, determination of common goals and prioritization, transaction based on client's preferences, and evaluation of the degree of achievement of goals by the client by comparing before and after in the range of -2 to +2) were performed in the form of qualitative analysis. Results: The result pointed out that diabetic adolescents did not have a proper understanding of the factors affecting the stability of blood sugar levels in the normal range. Nonetheless, they found the necessary preparation to interact with the nurse by implementing the nursing process and understanding the conditions affecting hyperglycemia. The findings led to 4 nursing diagnoses and 12 care goals. In the evaluation, it was found that after the implementation of the nursing process, the adolescent client was able to experience the stability of the blood sugar level within the normal range. Conclusion: The nursing process, according to King's model, was able to stabilize the blood sugar level in the normal range in the patient under study. Therefore, it is possible to suggest the nursing process according to King's model in adolescents with type 1 diabetes in order to maintain the blood sugar level in the normal range.

Published
2023
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47. Evaluation of the effect of fish oil in the prevention of pressure ulcers in patients admitted to the intensive care unit

Author

Samira Sadat Sadeghi, Hiva Azami, Seyed Reza Borzou, Farshid Rahimi Bashar, Leily Tapak, and Rasoul Haddadi

Subjects
Pressure ulcer, Fish oil, Soybean oil, Intensive care unit, Medicine (General), R5-920
Abstract

Introduction: Today, the anti-inflammatory property of fish oil is used to heal wounds, but this property has not been investigated to prevent the occurrence of pressure ulcers. So the research team decided to evaluate this feature as well. Materials and methods: This clinical trial study was performed on 102 patients admitted to the intensive care unit located at Besat Hospital in 2020. Samples were assigned to three groups control, placebo, and intervention using permutation blocks. Before the intervention, the questionnaire of demographic and clinical variables, level of consciousness, Braden scale, and short nutritional status questionnaire was completed by the main researcher. In the intervention group, in addition to routine care, 2 cc of fish oil was gently rubbed into the sacrum once a day for 5 days. The same intervention was repeated in the placebo group, with the difference that soybean oil was used instead of fish oil, and the control group received only the usual care. The daily evaluation of pressure ulcers by one of the ICU nurses lasted up to 6 days. Results: The results showed that there was a significant difference in the incidence of pressure ulcers in the three groups (P = 0.043). The risk of pressure ulcers in the control group was 11.9 and 2.7 times higher than the fish oil group and placebo group (P = 0.023) & (P = 0.132). Conclusion: The use of topical fish oil can be effective in preventing pressure ulcers.

Published
2023
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48. Erratum: Measurement of prompt and nonprompt charmonium suppression in PbPb collisions at 5.02 TeV

Author

Sirunyan, A. M., Tumasyan, A., Adam, W., Ambrogi, F., Asilar, E., Bergauer, T., Brandstetter, J., Brondolin, E., Dragicevic, M., Erö, J., Valle, A. Escalante Del, Flechl, M., Friedl, M., Frühwirth, R., Ghete, V. M., Grossmann, J., Hrubec, J., Jeitler, M., König, A., Krammer, N., Krätschmer, I., Liko, D., Madlener, T., Mikulec, I., Pree, E., Rad, N., Rohringer, H., Schieck, J., Schöfbeck, R., Spanring, M., Spitzbart, D., Waltenberger, W., Wittmann, J., Wulz, C.-E., Zarucki, M., Chekhovsky, V., Mossolov, V., Gonzalez, J. Suarez, De Wolf, E. A., Croce, D. Di, Janssen, X., Lauwers, J., De Klundert, M. Van, Haevermaet, H. Van, Mechelen, P. Van, Remortel, N. Van, Zeid, S. Abu, Blekman, F., D’Hondt, J., De Bruyn, I., De Clercq, J., Deroover, K., Flouris, G., Lontkovskyi, D., Lowette, S., Marchesini, I., Moortgat, S., Moreels, L., Python, Q., Skovpen, K., Tavernier, S., Doninck, W. Van, Mulders, P. Van, Parijs, I. Van, Beghin, D., Bilin, B., Brun, H., Clerbaux, B., De Lentdecker, G., Delannoy, H., Dorney, B., Fasanella, G., Favart, L., Goldouzian, R., Grebenyuk, A., Kalsi, A. K., Lenzi, T., Luetic, J., Maerschalk, T., Marinov, A., Seva, T., Starling, E., Velde, C. Vander, Vanlaer, P., Vannerom, D., Yonamine, R., Zenoni, F., Cornelis, T., Dobur, D., Fagot, A., Gul, M., Khvastunov, I., Poyraz, D., Roskas, C., Salva, S., Tytgat, M., Verbeke, W., Zaganidis, N., Bakhshiansohi, H., Bondu, O., Brochet, S., Bruno, G., Caputo, C., Caudron, A., David, P., De Visscher, S., Delaere, C., Delcourt, M., Francois, B., Giammanco, A., Komm, M., Krintiras, G., Lemaitre, V., Magitteri, A., Mertens, A., Musich, M., Piotrzkowski, K., Quertenmont, L., Saggio, A., Marono, M. Vidal, Wertz, S., Zobec, J., Júnior, W. L. Aldá, Alves, F. L., Alves, G. A., Brito, L., Junior, M. Correa Martins, Hensel, C., Moraes, A., Pol, M. E., Teles, P. Rebello, Chagas, E. Belchior Batista Das, Carvalho, W., Chinellato, J., Coelho, E., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., De Souza, S. Fonseca, Guativa, L. M. Huertas, Malbouisson, H., De Almeida, M. Melo, Herrera, C. Mora, Mundim, L., Nogima, H., Rosas, L. J. Sanchez, Santoro, A., Sznajder, A., Thiel, M., Manganote, E. J. Tonelli, Da Silva De Araujo, F. Torres, Pereira, A. Vilela, Ahuja, S., Bernardes, C. A., Tomei, T. R. Fernandez Perez, Gregores, E. M., Mercadante, P. G., Novaes, S. F., Padula, Sandra S., Abad, D. Romero, Vargas, J. C. Ruiz, Aleksandrov, A., Hadjiiska, R., Iaydjiev, P., Misheva, M., Rodozov, M., Shopova, M., Sultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Fang, W., Gao, X., Yuan, L., Ahmad, M., Bian, J. G., Chen, G. M., Chen, H. S., Chen, M., Chen, Y., Jiang, C. H., Leggat, D., Liao, H., Liu, Z., Romeo, F., Shaheen, S. M., Spiezia, A., Tao, J., Wang, C., Wang, Z., Yazgan, E., Zhang, H., Zhang, S., Zhao, J., Ban, Y., Chen, G., Li, J., Li, Q., Liu, S., Mao, Y., Qian, S. J., Wang, D., Xu, Z., Zhang, F., Wang, Y., Avila, C., Cabrera, A., Montoya, C. A. Carrillo, Sierra, L. F. Chaparro, Florez, C., Hernández, C. F. González, Alvarez, J. D. Ruiz, Delgado, M. A. Segura, Courbon, B., Godinovic, N., Lelas, D., Puljak, I., Cipriano, P. M. Ribeiro, Sculac, T., Antunovic, Z., Kovac, M., Brigljevic, V., Ferencek, D., Kadija, K., Mesic, B., Starodumov, A., Susa, T., Ather, M. W., Attikis, A., Mavromanolakis, G., Mousa, J., Nicolaou, C., Ptochos, F., Razis, P. A., Rykaczewski, H., Finger, M., Finger, Jr., M., Jarrin, E. Carrera, Mahmoud, M. A., Mohammed, Y., Salama, E., Dewanjee, R. K., Kadastik, M., Perrini, L., Raidal, M., Tiko, A., Veelken, C., Eerola, P., Kirschenmann, H., Pekkanen, J., Voutilainen, M., Havukainen, J., Heikkilä, J. K., Järvinen, T., Karimäki, V., Kinnunen, R., Lampén, T., Lassila-Perini, K., Laurila, S., Lehti, S., Lindén, T., Luukka, P., Siikonen, H., Tuominen, E., Tuominiemi, J., Tuuva, T., Besancon, M., Couderc, F., Dejardin, M., Denegri, D., Faure, J. L., Ferri, F., Ganjour, S., Ghosh, S., Gras, P., de Monchenault, G. Hamel, Jarry, P., Kucher, I., Leloup, C., Locci, E., Machet, M., Malcles, J., Negro, G., Rander, J., Rosowsky, A., Sahin, M.Ö., Titov, M., Abdulsalam, A., Amendola, C., Antropov, I., Baffioni, S., Beaudette, F., Busson, P., Cadamuro, L., Charlot, C., de Cassagnac, R. Granier, Jo, M., Lisniak, S., Lobanov, A., Blanco, J. Martin, Nguyen, M., Ochando, C., Ortona, G., Paganini, P., Pigard, P., Salerno, R., Sauvan, J. B., Sirois, Y., Leiton, A. G. Stahl, Strebler, T., Yilmaz, Y., Zabi, A., Zghiche, A., Agram, J.-L., Andrea, J., Bloch, D., Brom, J.-M., Buttignol, M., Chabert, E. C., Chanon, N., Collard, C., Conte, E., Coubez, X., Fontaine, J.-C., Gelé, D., Goerlach, U., Jansová, M., Bihan, A.-C. Le, Tonon, N., Hove, P. Van, Gadrat, S., Beauceron, S., Bernet, C., Boudoul, G., Chierici, R., Contardo, D., Depasse, P., Mamouni, H. El, Fay, J., Finco, L., Gascon, S., Gouzevitch, M., Grenier, G., Ille, B., Lagarde, F., Laktineh, I. B., Lethuillier, M., Mirabito, L., Pequegnot, A. L., Perries, S., Popov, A., Sordini, V., Donckt, M. Vander, Viret, S., Toriashvili, T., Tsamalaidze, Z., Autermann, C., Feld, L., Kiesel, M. K., Klein, K., Lipinski, M., Preuten, M., Schomakers, C., Schulz, J., Teroerde, M., Zhukov, V., Albert, A., Dietz-Laursonn, E., Duchardt, D., Endres, M., Erdmann, M., Erdweg, S., Esch, T., Fischer, R., Güth, A., Hamer, M., Hebbeker, T., Heidemann, C., Hoepfner, K., Knutzen, S., Merschmeyer, M., Meyer, A., Millet, P., Mukherjee, S., Pook, T., Radziej, M., Reithler, H., Rieger, M., Scheuch, F., Teyssier, D., Thüer, S., Flügge, G., Kargoll, B., Kress, T., Künsken, A., Müller, T., Nehrkorn, A., Nowack, A., Pistone, C., Pooth, O., Stahl, A., Martin, M. Aldaya, Arndt, T., Asawatangtrakuldee, C., Beernaert, K., Behnke, O., Behrens, U., Martínez, A. Bermúdez, Anuar, A. A. Bin, Borras, K., Botta, V., Campbell, A., Connor, P., Contreras-Campana, C., Costanza, F., Pardos, C. Diez, Eckerlin, G., Eckstein, D., Eichhorn, T., Eren, E., Gallo, E., Garcia, J. Garay, Geiser, A., Luyando, J. M. Grados, Grohsjean, A., Gunnellini, P., Guthoff, M., Harb, A., Hauk, J., Hempel, M., Jung, H., Kasemann, M., Keaveney, J., Kleinwort, C., Korol, I., Krücker, D., Lange, W., Lelek, A., Lenz, T., Leonard, J., Lipka, K., Lohmann, W., Mankel, R., Melzer-Pellmann, I.-A., Meyer, A. B., Mittag, G., Mnich, J., Mussgiller, A., Ntomari, E., Pitzl, D., Raspereza, A., Savitskyi, M., Saxena, P., Shevchenko, R., Stefaniuk, N., Onsem, G. P. Van, Walsh, R., Wen, Y., Wichmann, K., Wissing, C., Zenaiev, O., Aggleton, R., Bein, S., Blobel, V., Vignali, M. Centis, Dreyer, T., Garutti, E., Gonzalez, D., Haller, J., Hinzmann, A., Hoffmann, M., Karavdina, A., Klanner, R., Kogler, R., Kovalchuk, N., Kurz, S., Lapsien, T., Marconi, D., Meyer, M., Niedziela, M., Nowatschin, D., Pantaleo, F., Peiffer, T., Perieanu, A., Scharf, C., Schleper, P., Schmidt, A., Schumann, S., Schwandt, J., Sonneveld, J., Stadie, H., Steinbrück, G., Stober, F. M., Stöver, M., Tholen, H., Troendle, D., Usai, E., Vanhoefer, A., Vormwald, B., Akbiyik, M., Barth, C., Baselga, M., Baur, S., Butz, E., Caspart, R., Chwalek, T., Colombo, F., De Boer, W., Dierlamm, A., Faltermann, N., Freund, B., Friese, R., Giffels, M., Harrendorf, M. A., Hartmann, F., Heindl, S. M., Husemann, U., Kassel, F., Kudella, S., Mildner, H., Mozer, M. U., Müller, Th., Plagge, M., Quast, G., Rabbertz, K., Schröder, M., Shvetsov, I., Sieber, G., Simonis, H. J., Ulrich, R., Wayand, S., Weber, M., Weiler, T., Williamson, S., Wöhrmann, C., Wolf, R., Anagnostou, G., Daskalakis, G., Geralis, T., Kyriakis, A., Loukas, D., Topsis-Giotis, I., Karathanasis, G., Kesisoglou, S., Panagiotou, A., Saoulidou, N., Kousouris, K., Evangelou, I., Foudas, C., Gianneios, P., Katsoulis, P., Kokkas, P., Mallios, S., Manthos, N., Papadopoulos, I., Paradas, E., Strologas, J., Triantis, F. A., Tsitsonis, D., Csanad, M., Filipovic, N., Pasztor, G., Surányi, O., Veres, G. I., Bencze, G., Hajdu, C., Horvath, D., Hunyadi, Á., Sikler, F., Veszpremi, V., Beni, N., Czellar, S., Karancsi, J., Makovec, A., Molnar, J., Szillasi, Z., Bartók, M., Raics, P., Trocsanyi, Z. L., Ujvari, B., Choudhury, S., Komaragiri, J. R., Bahinipati, S., Bhowmik, S., Mal, P., Mandal, K., Nayak, A., Sahoo, D. K., Sahoo, N., Swain, S. K., Bansal, S., Beri, S. B., Bhatnagar, V., Chawla, R., Dhingra, N., Kaur, A., Kaur, M., Kaur, S., Kumar, R., Kumari, P., Mehta, A., Singh, J. B., Walia, G., Kumar, Ashok, Shah, Aashaq, Bhardwaj, A., Chauhan, S., Choudhary, B. C., Garg, R. B., Keshri, S., Kumar, A., Malhotra, S., Naimuddin, M., Ranjan, K., Sharma, R., Bhardwaj, R., Bhattacharya, R., Bhattacharya, S., Bhawandeep, U., Dey, S., Dutt, S., Dutta, S., Ghosh, S., Majumdar, N., Modak, A., Mondal, K., Mukhopadhyay, S., Nandan, S., Purohit, A., Roy, A., Chowdhury, S. Roy, Sarkar, S., Sharan, M., Thakur, S., Behera, P. K., Chudasama, R., Dutta, D., Jha, V., Kumar, V., Mohanty, A. 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2023
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