Symmetric Model Research Articles

An investigation of inflationary and bounce cosmology within the context of f(Q) gravity

In this work, we have examined the metric affine-based geometric model [Formula: see text] to investigate inflationary cosmology and bouncing cosmology. The four bouncing models we have examined are the exponential, matter, symmetric and super-bounce models. Furthermore, in the inflationary situation, we have employed a scalar field to test whether or not kinetic energy is dominated and whether or not all of the bouncing models are consistent with inflationary conditions. We have investigated various energy conditions for various scale factors and verified whether or not these scale factors are consistent with inflationary scenarios within the framework of inflationary cosmology under [Formula: see text]. In the end, we have shown that the bouncing scale factor under the polynomial model ([Formula: see text]) of [Formula: see text] gravity in a single scalar field is compatible with the inflationary scenario.

Calculable neutrino Dirac mass matrix and one-loop θ¯ in the minimal left-right symmetric model

We revisit the contribution to the strong CP parameter θ¯ from leptonic CP violation at one-loop level in the minimal left-right symmetric model in the case of generalized parity as the left-right symmetry. The Hermitian neutrino Dirac mass matrix MD can be calculated using the light and heavy neutrino masses and mixings. We propose a parametrization of the right-handed neutrino mixing matrix VR and construct the heavy neutrino mass that maintains the Hermiticity of MD. We further apply it to evaluate the one-loop θ¯, denoted as θ¯loop, as a function of the sterile neutrino masses for explicit examples of VR. By requiring the magnitude of θ¯loop≲10−10, we derive the upper limits on the sterile neutrino masses, which are within reach of direct searches at the Large Hadron Collider and neutrinoless double beta decay experiments. Furthermore, our parametrization is pertinent for other phenomenological investigations. Published by the American Physical Society 2024

Search for a leptophobic doubly charged Higgs in same-sign four-lepton and six-lepton signatures in a left-right symmetric model

We investigate the possibility of multi-lepton (four and six) signatures, including an exotic signature of same-sign four-lepton (SS4L) as signals of pair production of a doubly charged Higgs in the minimal left-right symmetric model, extended with two doublet scalars. The right-handed neutrino masses are generated in this model through a dimension-5 lepton-number violating operator allowing the triplet scalar interactions with leptons to become negligibly small. This leads to interesting six-lepton and SS4L signatures that can be observed at the high-luminosity phase of the Large Hadron Collider (HL-LHC) with almost no background for doubly charged Higgs with mass below 500 GeV.

A Simple Method for the Study of Heteroionic Interface Impedances in Solid Electrolyte Multilayer Cells Containing LLZO.

Hybrid battery cells that combine a garnet-type Li7La3Zr2O12 (LLZO) solid electrolyte with other solid, polymer or liquid electrolytes are increasingly investigated. In such cells with layered electrolytes, ensuring a low-resistive heteroionic interface between neighboring electrolytes is crucial for preventing major additional overpotentials during operation. Electrochemical impedance spectroscopy is frequently used to extract such parameters, usually on multilayer symmetrical model cells that contain the different electrolytes stacked in series. Unfortunately, the impedance contributions of the heteroionic interfaces often overlap with those of the electrolyte|electrode interfaces, necessitating the use of sophisticated four-point cells that probe the electrochemical potential away from the polarization source. In this work, an alternative solution to this problem is demonstrated by taking advantage of the inherent fast charge transfer kinetics of LLZO with its parent metal electrode. The "resistance-free" nature of a reversible Li|LLZO interface enables a precise evaluation of the heteroionic interface impedance in symmetric two-point cells of the type Li|LLZO|electrolyte|LLZO|Li with negligible electrode contribution. This is exemplified for symmetric multilayer cells containing tantalum-doped LLZO and a poly(ethylene oxide) (PEO)-based dry polymer electrolyte. Validation and comparison of impedance data with results from symmetric four-point cells and two-point cells with ion-blocking electrodes demonstrate the advantage of the proposed method. Overall, this study presents a simple and reliable method for studying heteroionic interface impedances in LLZO-containing multilayer cells.

Design and optimization of a combi boiler heat exchanger: A CFD-based approach

Heat exchangers are widely used in various fields, emphasizing the importance of efficiency and mass/dimensional improvements. Aluminum boiler heat exchangers play a crucial role in systems, where the natural gas-air fuel mixture is burned and heat transfer to water occurs. In such heat exchanger designs, the region where the air-gas mixture burns is referred to as the “combustion chamber,” and the thermal energy produced is transferred to the circulating water in the body.In this study, it was aimed to improve the heat transfer per unit surface by using novel pin–fin geometries in DAIKIN NDJ 24 kW aluminum cast boiler heat exchanger, thus reducing and lightening the dimensions of the combi heat exchanger for the same thermal performance. This approach targets cost reduction in production and downsizing of the boiler dimensions for more compact units. Cleanability limit was also established, and a unique symmetric droplet model was optimized utilizing a Computational Fluid Dynamics (CFD) based Response Surface Methodology (RSM) approach. Predictions of thermal performance through CFD simulations were subsequently validated experimentally using test bench available at DAIKIN’s facility in Sakarya, Türkiye. The results demonstrated a remarkable of 14% reduction in the overall weight, which was achieved by shortening the combi boiler height by 26 mm, while preserving the same efficiency levels. This research underscores the potential of the innovative pin geometry and optimized droplet model to enhance the efficiency and performance of the heat exchanger, with implications for cost savings and improved manufacturing processes. Also the effect of the new pin-fin geometry on the condensation performance was investigated as a multiphase phenomenon for the first time in the international literature. The results showed an excellent agreement between predicted and measured performance data.

Application of Public Relations Tools for Revenue Generation by Taraba State Board of Internal Revenue

This study investigates the efficacy of public relations (PR) tools employed by the Taraba State Board of Internal Revenue to bolster revenue generation. The research objectives encompass identifying specific PR strategies, eval_uating their effectiveness, and proposing actionable recommendations. Employing a mixed-methods approach, quantitative surveys and qualitative interviews were conducted to gather comprehensive insights. The study was built on Two Symmetrical Model, Excellence Theory, and Transfer Process Model. Findings indicate a moderate utilization of PR tools, with 63% of respondents reporting extensive to moderate use. Notable strategies include social media engagement, press releases, and community outreach initiatives. Qualitative data elucidates participant experiences, highlighting the impact of these strategies on promoting tax compliance and fostering positive public perception. Effectiveness assessments reveal tangible outcomes, with participants citing increased tax compliance rates and positive media coverage as key indicators. This underscores the significance of strategic communication in driving revenue generation efforts. However, challenges such as limited collaboration with external stakeholders and the absence of comprehensive eval_uation mechanisms are identified. Based on the findings, several recommendations are proposed to optimize PR efforts and enhance revenue generation outcomes. These include fostering closer collaboration with stakeholders, implementing robust eval_uation mechanisms, and tailoring communication strategies to diverse audience segments. Additionally, there is a call for continuous professional development to ensure staff proficiency in PR roles.

Unveiling the forces behind exercise intent in sports and fitness live streaming: a combination of symmetric and asymmetric modeling approaches

PurposeThis study aims to answer the following research questions: (1) How do features of sports and fitness live streaming content influence individuals’ viewing experiences? (2) How do these antecedents interact with each other to influence individuals’ intentions to exercise in the context of sports and fitness live streaming?Design/methodology/approachWe employed both symmetric (PLS-SEM) and asymmetric (fsQCA) analyses using data from 886 participants. A mixed approach addresses the complex nature of the decision-making process among sports and fitness live streaming users.FindingsThe findings reveal that individuals’ appraisal of their interactions with sports and fitness streamers (i.e. instant feedback, interactivity) significantly affects their perceptions of telepresence, entertainment, and flow. These, in turn, positively influence their intention to exercise in live sports and fitness streaming sessions. The study also uncovers various combinations of causal conditions leading to exercise intention, a detail overlooked by the PLS-SEM method alone.Originality/valueThis research contributes to the literature on cognitive appraisal theory, particularly in the context of sports and fitness live streaming, by integrating symmetric and asymmetric analyses. Practically, strategic implications are provided for practitioners in sports and fitness industry.

Centrifugal Jet-Spun, Non-Woven Chitin Fiber Separator for High-Performance Aqueous Zinc-Ion Batteries

Although lithium-ion batteries (LIBs) are key prevailing energy storage devices, alternative battery technologies based on earth-abundant materials are being sought as a viable energy storage systems that could possibly replace LIBs. Among several alternatives is aqueous zinc-ion batteries (AZIBs), which are more eco-friendly, cost-effective, and even safer. Despite their potential advantages, the development of appropriate separators for ZIBs has been elusive, and the issue of zinc metal dendrites on the negative electrode remains a critical challenge.In this work, we introduces a novel approach to prepare a non-woven spun fiber mat made of chitin, an abundant natural polymer, which could function as a separator for AZIBs. In particular, we use centrifugal jet-spinning (CJS) to fabricate the chitin separator. The use of chitin as a separator offers several advantages over existing ZIB separators, such as high stability, improved capacity, environmental friendliness, and cost-effectiveness. We demonstrate that the chitin separator can be applied in AZIB cells based on symmetric and full cell models, which showed stable cell operation for long-term cycling. Figure 1

Hysteresis of Northern Hemisphere permafrost to carbon dioxide emissions

Abstract Carbon dioxide removal (CDR) is proposed to limit the level of global warming and minimize the impacts of climate crises. However, how permafrost may respond to negative carbon emissions remains unknown. Here, the response of near-surface permafrost in the Northern Hemisphere is investigated based on idealized carbon dioxide (CO2) ramp-up (284.7–1138.8 ppm) and symmetric ramp-down model experiments. The results demonstrate that the timing of the minimum permafrost area lags the maximum CO2 concentration for decades, which is also observed in soil temperatures at different depths and active layer thicknesses. When the CO2 concentration is reversed to the preindustrial level, the permafrost area decreases by ~12% relative to the initial conditions, together with additional warming in the ground temperature at the top of the permafrost, indicating the hysteresis of permafrost to CO2 removal. The most profound hysteretic responses occur at high latitudes for soil temperatures owing to Arctic amplification, while at the southern margins of the permafrost zones for permafrost and active layer thickness that largely linked to the climate state. Moreover, the sensitivity of permafrost and the associated thermodynamic factors to CO2 change is generally lower during the CO2 ramp-down phase than during the ramp-up phase, likely due to the release of stored heat on land. The results reveal the behaviour of permafrost in response to negative carbon emissions, which is informative for the projections of permafrost towards carbon neutral targets. In addition, the results may provide a reference for permafrost-related tipping points (e.g., releasing long-term stored greenhouse gases and destabilising recalcitrant soil carbon) and risk management in the future.

Spontaneous symmetry breaking of cooperation between species.

In mutualistic associations, two species cooperate by exchanging goods or services with members of another species for their mutual benefit. At the same time, competition for reproduction primarily continues with members of their own species. In intra-species interactions, the prisoner's dilemma is the leading mathematical metaphor to study the evolution of cooperation. Here we consider inter-species interactions in the spatial prisoner's dilemma, where members of each species reside on one lattice layer. Cooperators provide benefits to neighbouring members of the other species at a cost to themselves. Hence, interactions occur across layers but competition remains within layers. We show that rich and complex dynamics unfold when varying the cost-to-benefit ratio of cooperation, r. Four distinct dynamical domains emerge that are separated by critical phase transitions, each characterized by diverging fluctuations in the frequency of cooperation: (i) for large r cooperation is too costly and defection dominates; (ii) for lower r cooperators survive at equal frequencies in both species; (iii) lowering r further results in an intriguing, spontaneous symmetry breaking of cooperation between species with increasing asymmetry for decreasing r; (iv) finally, for small r, bursts of mutual defection appear that increase in size with decreasing r and eventually drive the populations into absorbing states. Typically, one species is cooperating and the other defecting and hence establish perfect asymmetry. Intriguingly and despite the symmetrical model set-up, natural selection can nevertheless favour the spontaneous emergence of asymmetric evolutionary outcomes where, on average, one species exploits the other in a dynamical equilibrium.

Blotto game with testing (the locks, bombs and testing model)

We present a Defense/Attack resource allocation model, where the Defender has some number of ‘locks’ to protect n vulnerable boxes (sites), and the Attacker is trying to destroy these boxes, having some number of ‘bombs’ which can be placed into the boxes. Similar models were studied in game theory – e.g. (Colonel) Blotto game, but our model has a feature that is absent in the previous literature. Here, the Attacker tests the vulnerability of all sites before allocating her resources. However, these tests are not perfect, i.e. a test can give a positive result for a box without a lock and a negative result for a box with a lock. We give a full solution for some important special cases of the general Locks-Bombs-Testing (G-LBT) model, where sites have distinct values. These results complement previously known results for a symmetrical LBT model, where all parameters are the same for each box. We also outline an approach to a general solution for the G-LBT model.

Comparative Analysis of GARCH-Based Volatility Models of Financial Market Volatility: A Case of Nairobi Security Market PLC, Kenya

This paper conducted a comprehensive comparative analysis of various GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models to forecast financial market volatility, with a specific focus on the Nairobi Stock Exchange Market. The examined models include symmetric and asymmetric GARCH types, such as sGARCH, GJR-GARCH, AR (1) GJG-GARCH, among others. The primary objective is to identify the most suitable model for capturing the complex dynamics of financial market volatility. The study employs rigorous evaluation criteria, including the Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Mean Error (ME), and Root Mean Absolute Error (RMAE), to assess the performance of each model. These criteria facilitate the selection of the optimal model for volatility forecasting. The analysis reveals that the GJR-GARCH (1,1) model emerges as the best-fit model, with AIC and BIC values of −5.5008 and −5.4902, respectively. This selection aligns with the consensus in the literature, highlighting the superiority of asymmetric GARCH models in capturing volatility dynamics. The comparison also involves symmetric GARCH models, such as sGARCH (1,1), and other asymmetric models like AR (1) GJG-GARCH. While these models were considered, the GJR-GARCH (1,1) model demonstrated superior forecasting capabilities. The study emphasizes the importance of accurate model selection and the incorporation of asymmetry in volatility modeling. The research provides essential insights into financial market volatility modeling and forecasting using both asymmetric and symmetric GARCH models. These findings have significant implications for government policymakers, financial institutions, and investors, offering improved tools for risk assessment and decision-making during periods of market turbulence.

Dynamics of memristor coupled discrete fractional symmetric neural network model

Neural networks, also known as artificial neural networks (ANNs), represent innovative computational models inspired by the functioning of biological neurons in the human body. Currently, neural network models are employed to address intricate real-world challenges. This article focuses on constructing and dynamically analyzing interconnected symmetric neural network models inspired by the Hopfield type. These models incorporate discrete fractional memristor elements featuring quadratic memductance. The primary objective is to comprehend system characteristics by introducing nonlinearity to the inter-neuron weights in a functional manner. Additionally, the study explores the influence of electromagnetic radiation on neurons. Bifurcation diagrams, considering fractional order and Lyapunov exponents, illustrate the chaotic nature of the interconnected neural network model. The investigation delves into coexisting system states, examining coexisting bifurcations and attractors. The article offers potential for developing bio-inspired, energy-efficient, and adaptive neural network architectures, thereby contributing to advancements in artificial intelligence and neuromorphic applications.

Two Fluids in [formula omitted] Gravity with Observational Constraints

A locally rotationally symmetric Bianchi type-I model has been studied with two fluids within the framework of the f(T) theory of gravity. Bianchi type-I is an immediate generalization of the Friedmann–Lemaître–Robertson–Walker (FLRW) metric. We have derived the exact field equations in f(T) gravity by considering the Bianchi type-I metric and applying the action for f(T) theory of gravity. We have utilized the torsion scalar T and the Lagrangian for matter. The field equations are obtained by taking the variation of the action with respect to the vierbein, leading to a set of equations that includes the energy–momentum tensor for two fluid sources: matter and radiation. We fit the H(z) curve using 57 data points and the R2-test, achieving an R2 value of 0.9321, indicating a strong fit with the Observational Hubble Dataset (OHD). Cosmological parameters like energy density, pressure, and state finder diagnostics are also discussed.

Critical behavior of dirty free parafermionic chains

Abstract A family of $\mathbb Z_n$-symmetric non-Hermitian models of Baxter was shown by Fendley to be exactly solvable via a parafermionic generalization of the Clifford algebra. We study these models with spatially random couplings, and obtain several exact results on thermodynamic singularities as the distributions of couplings are varied. We find that these singularities, independent of $n$, are identical to those in the random transverse-field Ising chain; correspondingly the models host infinite-randomness critical points. Similarities in structure to exact methods for random Ising models, a strong-disorder renormalization group, and generalizations to other models with free spectra, are discussed.

Examining The Impact of Inflation on Financial Development in The Fragile Five Economies with Asymmetric Cointegration Tests

This study examines the relationship between inflation and financial development indicators for the Fragile Five countries between 1981 and 2021. The study analysed the relationship between symmetric and asymmetric distributed lag regression models. Inflation appears to have a negative impact on financial development in countries other than Brazil and India. The results prove that the most extended correction process was experienced in India, and the shortest was experienced in Indonesia among the Fragile Five countries. Research results emphasise that high inflation negatively affects financial development in these economies by increasing the cost of financial intermediation.

Solvation vs concentration fluctuations: confined dilute electrolytes near demixing at constant potential

In a recent paper, the effect of concentration fluctuations in a simple fully symmetric model of dilute electrolyte, confined between two planar electrodes, was investigated using constant charge simulations in the vicinity of the solute-solvent demixing transition. In agreement with previous theoretical findings it was shown that the total capacitance was enhanced by the occurrence of concentration fluctuations. In this work we will resort to constant potential simulations to show that the same effect is to be found in the differential capacitance. Additionally, here we will consider the effects of ion solvation by a polar solvent modelled by TIP4P/2005 water. Finally, the original fully symmetric ionic solute will be replaced by a three-site coarse grained model for a well know room temperature ionic liquid, 1-butyl-3-methyl-imidazolium tetrafluoroborate ([BMI] + [BF 4 ] − )). Our results show the presence of strong local fields within the capacitor due to incomplete local screening, and a marked asymmetry in the charge distribution. The expected capacity enhancement due to concentration fluctuations is completely mitigated by solvation effects and the response of the polar solvent to the external field.

The non-minimally coupled symmetric teleparallel gravity with electromagnetic field

We construct a symmetric teleparallel gravity model which is non-minimally coupled with electromagnetic field in four dimensions inspired by its Riemannian equivalent. We derive the field equations by taking the variation of this model, which is written here for the first time. Then, we find some classes of spherically symmetric static solutions by the coincident gauge of symmetric teleparallel spacetime.

The Role of Communication in Nation-Building: A Theoretical Framework for South African National Unity

Communication plays a crucial role in the formation of a nation and its identity. It is apparent that the government of South Africa has previously started nation-building initiatives, but it is unclear how much the public is involved in the design and implementation of these campaigns. In this study, the contemporary literature on communication in the context of nation-building was critically engaged to clarify the role that communication plays in nation-building. The study concludes that the two-way symmetrical model is the best as it emphasises honest information exchanges between the public and the government through interactive communication. In order to effectively communicate with both internal and external target audiences and advance the agenda for nation-building, the South African government should employ communication techniques that will create and maintain enduring relationships with the public based on mutual trust by implementing participatory communication approaches to nation-building.

Time-Varying Correlations between JSE.JO Stock Market and Its Partners Using Symmetric and Asymmetric Dynamic Conditional Correlation Models

Time-Varying Correlations between JSE.JO Stock Market and Its Partners Using Symmetric and Asymmetric Dynamic Conditional Correlation Models