Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14517/19

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The Relation of Air Pollution on Morbidity and Mortality of SARS-CoV Infection in Tekirdag, Türkiye
(Tehran University of Medical Sciences, 2025) Varol, G.; Tokuç, B.; Çelikkalp, Ü.; Etiler, N.
Background: We aimed to investigate the relation between environmental air pollutants such as Particulate Matter 10 (PM10), Particulate Matter 2.5 (PM2.5), Sulfur Dioxide (SO2) on daily cases and deaths associated with SARS-CoV-2 infection. Methods: The ecological research examined the correlations of the air quality metrics and the data of COVID-19 cases and deaths from March 1, 2020 to March 1, 2021 in the central District of Tekirdağ Province in Türkiye. Results: During the study period, the average PM10 concentration was 32.57±17.86 µg/m3, PM2.5 was 20.68±11.31 µg/m3, SO2 was 11.28±13.42 µg/m3, and NO2 was 19.07±7.26 µg/m3. The SARS-CoV-2 case fatality rate in the study area during this period was 3.2%. Correlation analyses between air pollutants and SARS-CoV-2 cases and deaths revealed significant positive associations between SARS-CoV-2 cases (r=0.220 for PM10, P<0.001; r=0.290 for PM2.5, P<0.001; r=0.218 for SO2, P<0.001) and deaths (r=0.203 for PM10, P<0.001; r=0.289 for PM2.5, P<0.001; r=0.278 for SO2, P<0.001). Moreover, regression analysis revealed that ambient sulfur dioxide (SO2) levels significantly predicted both COVID-19 incidence and mortality. Conclusion: PM10, PM2.5, and SO2, key parameters for assessing air quality, exhibit a positive relationship with the increasing number of daily SARS-CoV-2 cases and daily deaths in the study area. © © 2025 Varol et al.
Nattokinase-Related Aggravation of Histamine Intolerance in Diamine Oxidase Deficiency: A Rare Clinical Observation
(College of Physicians and Surgeons Pakistan, 2026) Keskinel, I.
Gypsum Integrated Phase Change Materials for Thermal Energy Efficiency in Buildings: A Review
(Elsevier Ltd, 2026) Rashid, F.L.; Al-Obaidi, M.A.; Karim Alkhekany, Z.A.; Jaafar, M.T.; Ahmad, S.; Chibani, A.; Kezzar, M.
Global energy consumption for heating and cooling in buildings, accounting for approximately 32 % of total energy use, demonstrating a critical challenge worsened by urban expansion and climate change, necessitating innovative solutions for building thermal efficiency. This review addresses this request by systematically analysing the integration of phase change materials (PCMs) with gypsum for enhanced building thermal management. The comprehensive literature review, spanning from 2010 to 2025, reveals that PCM-gypsum composites can significantly improve temperature stabilization and user comfort. Key insights include the identification of optimal PCM loading ranges, with 30 %–45 % by weight yielding the best thermal properties while maintaining adequate mechanical strength. However, higher PCM loadings can lead to mechanical weaknesses, necessitating a careful balance between thermal performance and structural integrity. Laboratory tests reveal these composites absorb 30–40 J/g of latent heat and achieve significant thermal conductivity reductions, up to 55.14 % compared to pure gypsum. For instance, heating gypsum walls with 7.5 % micro-capsule content resulted in 1.3 °C maximum temperature stability. Furthermore, lauryl alcohol-impregnated gypsum composites exhibited minimal thermal performance degradation after 1500 cycles, maintaining high enthalpy values (100.4–100.1 J/g). This review highlights PCM-enhanced gypsum as a sustainable solution for energy-efficient buildings, aiding waste utilisation, minimising carbon emissions, and improving indoor comfort, crucial for addressing future energy demands in climate-altered structures. Furthermore, the use of microencapsulated PCMs (mPCMs) can improve leakage protection amd thus enhanced durability. In this regard, the thermal conductivity of gypsum-based composites is around 0.4165 W/(m K) at a 40 % volume loading. This is an additional reducible with shape-stabilized PCMs derived from agricultural byproducts. The results of this review have signified the PCM-enhanced gypsum as a sustainable solution for energy-effective buildings, helping to minimize the waste utilisation besides reducing carbon emissions while upgrading indoor comfort. However, a focus should be made in the future research to resolve the associated barriers of compatibility between encapsulated PCMs, leakage deterrence at high PCM loadings and gypsum matrix, and long-term mechanical stability. Undoubtedly, exploring enhanced encapsulation techniques and integrated smart building materials would introduce innovative, energy-autonomous buildings that can familiarize different climatic conditions, expressively contributing to sustainable architectural practices. © 2025 Elsevier Ltd
Exercise Addiction in Older Adults: Health Preservation or Fear of Death
(John Wiley and Sons Inc, 2026) Sürenkök, O.; Kendal, K.; Aydln, G.; Atici, E.
Objectives: The aim of the study is to explore exercise addiction in older adults and the psychological, social and biological factors underlying the exercise addiction. Subjects and Methods: This study employed a cross-sectional design. 254 participants aged 65 and above were divided into exercise addicted and non-exercise addicted groups in the study. The exercise addiction of participants was assessed using the Exercise Addiction Inventory (EAI). Health-preserving behaviours were evaluated with the Health Protection Behaviour Scale (HPBS). Anxiety related to health was measured using the Health Anxiety Inventory (HAI), while death anxiety was assessed using the Death Anxiety Scale (DAS). Results: In intergroup analyses, the EAI, HPBS and TDAS scores were higher in the Exercise Addicted Group compared to the Non-Exercise Addicted Group (p < 0.001, p < 0.001, p = 0.009, respectively). However, the HAI score was lower in the Exercise Addicted Group (p = 0.021). In addition, a positive correlation was observed between HPBS and EAI scores (r = 0.454, p < 0.001). No correlation was found between EAI scores and age (r = 0.028, p = 0.654) or HAI (r = −0.088, p = 0.162). Conclusions: This study found that individuals with exercise addiction had lower BMI, a lower proportion of women and higher education levels. Additionally, while positive relationships were observed between exercise addiction and both health-protective behaviours and death anxiety, a negative relationship was found with health anxiety. Correlation and regression analyses indicated that BMI and higher education level serve as protective factors against exercise addiction, whereas health-protective behaviours and death anxiety function as risk factors. © 2025 Japanese Psychogeriatric Society.
Search for a cH Signal in the Associated Production of at Least One Charm Quark with a Higgs Boson in the Diphoton Decay Channel in pp Collisions at TeV
(Springer Science and Business Media Deutschland GmbH, 2025) Tchekhovski, V.; Hayrapetyan, A.; Makarenko, V.; Tumasyan, A.; Adam, W.; Andrejkovic, J.W.; Benato, L.
This paper presents the first search for a cH signal sensitive to the coupling of the charm quark (c) to the Higgs boson (H) in the associated production of at least one charm quark with a Higgs boson decaying to two photons. The results are based on a data set of proton-proton collisions at a center-of-mass energy of 13 TeV collected with the CMS experiment at the LHC, corresponding to an integrated luminosity of 138 fb−1. Assuming the standard model (SM) rates for all other Higgs boson production processes, the observed (expected) upper limit at 95% confidence level on the cH signal strength is 243 (355) times the SM prediction. Under the same assumption, the observed (expected) allowed interval on the Higgs boson to charm quark coupling modifier, κc, is |κc| < 38.1 (|κc| < 72.5) at 95% confidence level. © The Author(s) 2025.
Performance Evaluation of Teachers by Using Fermatean Fuzzy Based MCDM Approach
(Research Expansion Alliance (REA), 2025) Gazi, K.H.; Basuri, T.; Biswas, A.; Das, S.G.; Salahshour, S.; Ghosh, A.; Mondal, S.P.
Purpose: The purpose of this paper is to present a systematic approach for evaluating teachers’ performance within an educational framework. In every progressive country, establishing a well-organized and efficient educational system is essential. Teachers play a pivotal role in enhancing the quality of education and can create a student-centric learning environment that supports the holistic development of learners. Therefore, it is crucial to conduct a periodic evaluation of teachers’ performance to ensure continuous improvement in educational quality. Methodology: In this study, three primary factors—teaching, research, and administrative activities—are considered as the key criteria for assessing teachers’ overall performance, each further divided into several sub-criteria. To address the uncertainty and vagueness inherent in the evaluation data, Fermatean Fuzzy Numbers (FFN) are utilized. The CRITIC method, a well-known Multi-Criteria Decision-Making (MCDM) technique, is applied to determine the weights of the criteria. Five teachers are selected as alternatives, and the MULTIMOORA method is employed to rank them according to their performance levels. Findings: The analysis reveals that combining Fermatean fuzzy logic with MCDM techniques provides an effective framework for conducting a more accurate and fair evaluation of teachers’ performance. Furthermore, a sensitivity analysis is performed by removing certain criteria to test the robustness and validity of the obtained results. Originality/Value: The originality of this study lies in the integration of Fermatean fuzzy logic with MCDM approaches for teacher performance evaluation. This innovative combination allows for more precise consideration of qualitative and subjective aspects of teacher assessment. The proposed model can serve as a valuable tool for educational administrators and policymakers in making data-driven decisions and formulating strategies to enhance teaching effectiveness. © 2025, Research Expansion Alliance (REA). All rights reserved.
A Method for Correcting the Substructure of Multiprong Jets Using the Lund Jet Plane
(Springer Science and Business Media Deutschland GmbH, 2025) Hayrapetyan, A.; Makarenko, V.; Tumasyan, A.; Adam, W.; Andrejkovic, J.W.; Benato, L.; Bergauer, T.
Many analyses at the CERN LHC exploit the substructure of jets to identify heavy resonances produced with high momenta that decay into multiple quarks and/or gluons. This paper presents a new technique for correcting the substructure of simulated large-radius jets from multiprong decays. The technique is based on reclustering the jet constituents into several subjets such that each subjet represents a single prong, and separately correcting the radiation pattern in the Lund jet plane of each subjet using a correction derived from data. The data presented here correspond to an integrated luminosity of 138 fb−1 collected by the CMS experiment between 2016–2018 at a center-of-mass energy of 13 TeV. The correction procedure improves the agreement between data and simulation for several different substructure observables of multiprong jets. This technique establishes, for the first time, a robust calibration for the substructure of jets with four or more prongs, enabling future measurements and searches for new phenomena containing these signatures. © The Author(s) 2025.
Social Media Usage as a Mediator in the Relationship Between Perceived Maternal Narcissistic Traits and Obsessive Beliefs
(Association for Clinical Psychology Research, 2025) Kaya-Demir, D.; Sapancı, A.
In today's rapidly evolving digital world, social media platforms play a central role in people's lives. While social media provides individuals with opportunities for self-expression, communication, and quick access to information, it also has significant impacts on psychological health. This study aimed to elucidate the effects of perceived maternal narcissistic traits on social media usage and obsessive beliefs. The negative effects of social media use on psychological health and the relationship of these effects with parenting styles constituted the main focus of the research. In this context, the current research investigated the mediating role of social media usage in the relationship between perceived maternal narcissistic traits and obsessive beliefs. Based on the cognitive therapy approach, the study evaluated the effects of narcissistic parents on their children and the role of social media use in the emergence of this effect. The study's participants consisted of a total of 307 individuals, including 136 women and 171 men, aged between 19 and 74, selected through convenience sampling. Data were collected using the Social Media Usage Scale, the Obsessive Beliefs Questionnaire-44, and the Perceived Maternal Narcissistic Traits Scale. Mediation analysis was conducted with the collected data using SPSS Process Macro. The findings revealed that women perceived higher levels of narcissistic traits from their mothers compared to men, while men exhibited higher levels of obsessive beliefs than women. There was no statistically significant difference in social media usage levels between the groups. The mediation analysis indicated that perceived maternal narcissistic traits did not directly affect obsessive beliefs but influenced this path by increasing social media usage. As a result, controlling social media use and promoting conscious usage were highlighted as important recommendations to protect individuals' psychological health. © 2025, Association for Clinical Psychology Research. All rights reserved.
The Effect of the Israel-Hamas Conflict on Carbon Markets: Evidence from the European Union Emissions Trading System
(University of Economics in Katowice, 2025) Tanıl, E.; Kalabak, A.Y.; Aksoy, M.; Karakaş, M.
Aim/purpose – This study investigates the impact of the Israel-Hamas conflict on carbon emission allowance prices within the European Union Emissions Trading System (EU ETS). Given the growing significance of geopolitical risks in carbon markets, this study examines the extent to which such conflicts influence spot and futures carbon prices, and whether these effects are short term or persistent. Design/methodology/approach – The study employs two complementary econometric techniques: event study methodology and wavelet analysis. The event study method captures short-term price reactions to the conflict, while wavelet analysis provides insights into both short-term and long-term dynamics. The dataset consists of daily trading prices of CO₂ emission allowances from June 1, 2022, to December 30, 2023, sourced from the Refinitiv Eikon database. The research design allows for the identification of market participants’ immediate reactions and the subsequent adjustment of market expectations. Findings – The empirical results indicate a divergence in the short-term responses of spot and futures carbon markets. The event study shows that the carbon spot market reacted positively to the onset of the Israel-Hamas conflict, whereas the carbon futures market reacted negatively. Wavelet analysis confirms this short-term divergence but also shows that, in the long term, both markets eventually move in the same direction. This suggests that short-term market dislocations driven by geopolitical shocks are temporary, and carbon markets tend to stabilize over time. Research implications/limitations – This study underscores the need to account for geopolitical risks when analyzing carbon market volatility. However, its focus on the EU ETS may limit the generalizability of the findings to other carbon markets. Additionally, the lack of detailed military emissions data prevents a direct analysis of such impacts. Future research should explore other carbon markets and incorporate more granular data on military-related emissions. Originality/value/contribution – This study is probably the first to examine the influence of the Israel-Hamas conflict on carbon markets, thereby filling a gap in the literature on geopolitical risks and carbon pricing. Unlike prior studies that assume parallel movements in spot and futures markets, this research reveals a short-term divergence that eventually converges in the long run. The findings provide policymakers and market participants with valuable insights by emphasizing the role of geopolitical shocks in shaping carbon market dynamics and advocating risk mitigation strategies for emissions trading systems. © 2025 Eyüp Tanıl et al., published by University of Economics in Katowice.
Blasting Excavation for Connecting a New Tunnel to an Active Sewage Tunnel in a Wastewater Treatment Plant
(International Multidisciplinary Scientific Geoconference, 2025) Bağdatlı, S.; Kahriman, A.; Alan, E.; Dondurmaci, E.A.; Kekulluoglu, F.K.
This study presents the controlled blasting method used to excavate the buffer zone between a new connection tunnel and an active sewage tunnel operating at full capacity at the Tuzla Advanced Biological Wastewater Treatment Plant in Istanbul, owned by ISKI. Treating up to 650,000 m3 of wastewater daily for a population of 2.6 million, the plant required new treatment units to be connected to the existing system due to increased capacity needs. Since the existing 2,200 mm-diameter sewage tunnel, built in 1998, could not be safely or economically shut down, blasting was selected for the excavation of the 40–60 cm thick rock buffer zone. The blast face area was 9.7 m2 and consisted of limestone with 25–35 MPa compressive strength. Due to unknown properties of the reinforced concrete lining of the existing tunnel and the presence of sensitive equipment above, a detailed risk analysis was conducted. Blasting design limited explosive charge per delay to 3.2 kg to stay below 15 mm/s particle velocity and 135 dB air shock. Electronic detonators and 27 mm cartridges in 33 mm boreholes ensured safety and precision. A total of 112 holes and 20 kg of explosives were used. Maximum measured vibration was 5.21 mm/s and air shock 132.3 dB. The operation achieved full breakthrough without disrupting sewage flow or causing structural damage. © 2025 International Multidisciplinary Scientific Geoconference. All rights reserved.
Search for New Physics in Jet Multiplicity Patterns of Multilepton Events at (Formula Presented)
(American Physical Society, 2025) Hayrapetyan, A.; Tumasyan, A.; Adam, W.; Andrejkovic, J.W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.
A first search for beyond the standard model physics in jet multiplicity patterns of multilepton events is presented, using a data sample corresponding to an integrated luminosity of (Formula presented) of 13 TeV proton-proton collisions recorded by the CMS detector at the LHC. The search uses observed jet multiplicity distributions in one-, two-, and four-lepton events to explore possible enhancements in jet production rate in three-lepton events with and without bottom quarks. The data are found to be consistent with the standard model expectation. The results are interpreted in terms of supersymmetric production of electroweak chargino-neutralino superpartners with cascade decays terminating in prompt hadronic (Formula presented)-parity violating interactions. © 2025 CERN, for the CMS Collaboration.
Measurement of Event Shapes in Minimum-Bias Events from Proton-Proton Collisions at √s = 13 TeV
(American Physical Society, 2025) Tchekhovski, V.; Hayrapetyan, A.; Makarenko, V.; Tumasyan, A.; Adam, W.; Andrejkovic, J.W.; Benato, L.
A measurement of event-shape variables is presented, using a data sample produced in a special run with approximately one inelastic proton-proton collision per bunch crossing. The data were collected with the CMS detector at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 64 μb−1. A number of observables related to the overall distribution of charged particles in the collisions are corrected for detector effects and compared with simulations. Inclusive event-shape distributions, as well as differential distributions of event shapes as functions of charged-particle multiplicity, are studied. None of the models investigated are able to satisfactorily describe the data. Moreover, there are significant features common amongst all generator setups studied, particularly showing data being more isotropic than any of the simulations. Multidimensional unfolded distributions are provided, along with their correlations. © 2025 CERN, for the CMS Collaboration
Correction to: Modeling Dysentery Spread and the Impact of Public Awareness on Control Dynamics (Scientific Reports, (2025), 15, 1, (40602), 10.1038/S41598-025-24286-z)
(Nature Research, 2025) Ahmed, K.K.; Yusuf, J.S.; Isa Aliyu, A.I.; Agaie, B.G.; Yusuf, A.S.; Ozsahin, I.; Sulaıman, T.A.
Correction to: Scientific Reportshttps://doi.org/10.1038/s41598-025-24286-z, published online 18 November 2025 The original version of this Article contained an error in the spelling of the author Ilker Ozsahin which was incorrectly given as Ilker Ozşahin. The original Article has been corrected. © The Author(s) 2025.
Development of Systematic Uncertainty-Aware Neural Network Trainings for Binned-Likelihood Analyses at the LHC
(Springer Nature, 2025) Druzhkin, D.; Borshch, V.; Babaev, A.; Uzunian, A.; Slabospitskii, S.; Kachanov, V.; Skovpen, Y.
We propose a neural network training method capable of accounting for the effects of systematic variations of the data model in the training process and describe its extension towards neural network multiclass classification. The procedure is evaluated on the realistic case of the measurement of Higgs boson production via gluon fusion and vector boson fusion in the ττ decay channel at the CMS experiment. The neural network output functions are used to infer the signal strengths for inclusive production of Higgs bosons as well as for their production via gluon fusion and vector boson fusion. We observe improvements of 12 and 16% in the uncertainty in the signal strengths for gluon and vector-boson fusion, respectively, compared with a conventional neural network training based on cross-entropy. © CERN for the benefit of the CMS Collaboration 2025.
Inventory Management With Deterioration and Trade-Credit Policy: A Path Toward Sustainability
(World Scientific, 2025) Roy, D.K.; Maity, S.; Pervin, M.; Mukherjee, S.B.; Mondal, S.P.; Salahshour, S.
Background: This research tackles the difficulty of dealing with deteriorating inventory model with sustainably while optimizing the annual total cost for retailers. For economic and environmental equilibrium, the model incorporates preservation technology to alleviate the deterioration rate and includes trade-credit policy to minimize the total annual cost. Moreover, carbon emission reduction via green technology is included to prevent environmental pollution. Methods: A sustainable inventory model is designed by assuming demand rate and production level as linear functions of time. The optimal cycle length and optimal order quantity are obtained by allowing carbon emission rate as a controllable variable. Further, the model is solved with the assistance of classical optimization techniques. Results: Numerical illustrations highlight the managerial implications, showing that appropriate credit policies enhance financial performance and reduce resource wastage and environmental impact. Conclusion: The sustainable inventory model presented here provides a complete framework for achieving economic profitability and environmental accountability. It offers applicable knowledge to decision-makers to maximize order policies, manage carbon emissions and develop efficient trade-credit plans for a deteriorating inventory systems. © 2025 World Scientific Publishing Company.
Search for the Rare Decay (Formula Presented) in Proton-Proton Collisions at (Formula Presented)
(American Physical Society, 2025) Tchekhovski, V.; Hayrapetyan, A.; Makarenko, V.; Tumasyan, A.; Adam, W.; Andrejkovic, J.W.; Benato, L.
A search for the rare decay (Formula presented) is reported using proton-proton collision events at (Formula presented) collected by the CMS detector in 2022-2023, corresponding to an integrated luminosity of (Formula presented). This is the first analysis to use a newly developed inclusive dimuon trigger, expanding the scope of the CMS flavor physics program. The search uses (Formula presented) mesons obtained from (Formula presented) decays. No significant excess is observed. A limit on the branching fraction of (Formula presented) at 95% confidence level is set. This is the most stringent upper limit set on any flavor changing neutral current decay in the charm sector. © 2025 CERN, for the CMS Collaboration.
The Effect of Passive Music Listening in Addition to Conventional Physiotherapy on Pain, Anxiety, and Quality of Life in Patients with Chronic Neck Pain
(Assoc. Medica Brasileira, 2025) Torlak, Mustafa Savas; Atici, Emine; Tufekci, Osman; Karaca, Osman; Dursun, Burcu; Tunc, Elif
OBJECTIVE: The aim of this study was to investigate the effect of passive music listening in addition to conventional physiotherapy on pain, anxiety, and quality of life in patients with chronic neck pain. METHODS: The study included 40 people aged 30-50 years with chronic neck pain, who volunteered to participate in it. The participants were randomized into a control group (n=20) and a music group (n=20). Participants in the control group received a classical physiotherapy programme, 5 days a week for 4 weeks. Participants in the music group listened to music through headphones throughout the treatment. RESULTS: At the end of treatment, there was a statistical difference in the Beck Anxiety Inventory, visual analog scale, Neck Disability Index, and SF-36 physical scores in intragroup comparisons in both groups (p<0.05), When comparing the differences between the groups before and after treatment, it was found that the decrease in visual analog scale score of the participants in the music group was statistically significant compared to the decrease in visual analog scale score of the participants in the control group (p<0.01). CONCLUSION: Passive listening to music has been shown to have a positive effect on chronic neck pain when used in addition to conventional physiotherapy.
Search for a Neutral Gauge Boson With Nonuniversal Fermion Couplings in Vector Boson Fusion Processes in Proton-Proton Collisions at (Formula Presented)
(American Physical Society, 2025) Hayrapetyan, A.; Tumasyan, A.; Adam, W.; Andrejkovic, J.W.; Benato, L.; Bergauer, T.; Chatterjee, S.
The first search for a heavy neutral spin-1 gauge boson ((Formula presented)) with nonuniversal fermion couplings produced via vector boson fusion processes and decaying to tau leptons or (Formula presented) bosons is presented. The analysis is performed using LHC data at (Formula presented), collected from 2016 to 2018 with the CMS experiment and corresponding to an integrated luminosity of (Formula presented). The data are consistent with the standard model predictions. Upper limits are set on the product of the cross section for production of the (Formula presented) boson and its branching fraction to (Formula presented) or (Formula presented). The presence of a (Formula presented) boson decaying to (Formula presented) ((Formula presented)) is excluded for masses up to 2.45(1.60) TeV, depending on the (Formula presented) boson coupling to standard model weak bosons, and assuming a (Formula presented) ((Formula presented)) branching fraction of 50%. © 2025 CERN, for the CMS Collaboration.
Study of Same-Sign W Boson Scattering and Anomalous Couplings in Events With One Tau Lepton from PP Collisions at TeV
(Springer Science and Business Media Deutschland GmbH, 2025) Hayrapetyan, A.; Tumasyan, A.; Adam, W.; Andrejkovic, J.W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.
A first study is presented of the cross section for the scattering of same-sign W boson pairs via the detection of a τ lepton. The data from proton-proton collisions at the center-of-mass energy of 13 TeV were collected by the CMS detector at the LHC, and correspond to an integrated luminosity of 138 fb−1. Events were selected that contain two jets with large pseudorapidity and large invariant mass, one τ lepton, one light lepton (e or μ), and significant missing transverse momentum. The measured cross section for electroweak same-sign WW scattering is times the standard model prediction. In addition, a search is presented for the indirect effects of processes beyond the standard model via the effective field theory framework, in terms of dimension-6 and dimension-8 operators. © The Author(s) 2025.
A Novel Radial Basis Neural Network Process for the Numerical Solutions of the Anthrax Disease Model
(Springer Wien, 2025) Sabir, Zulqurnain; Halabi, Nazek El; Rizk, Mike; Kadri, Issa; Umar, Muhammad; Salahshour, Soheil
The goal of this conducted study is to provide the arithmetical performances through the stochastic computing procedure for the anthrax disease in animals (ADiA) model, which splits the populations between vaccinated, infected, susceptible, and recovered. A specific type of neural network, which is the novel radial basis is exploited by the radial basis and twenty-two neurons in the neural network's hidden layer along with the optimization of Levenberg-Marquardt Backpropagation for solving the ADiA model. An Adam solver is generated to get the dataset and minimize the mean square error by dividing the data into testing as 14%, training as 75%, and corroboration as 11%. The exactness of the proposed solver is performed by using the overlapping of the outputs and an absolute error calculated as small. The test performance-based regression, state transition and error histogram also improve the dependability of the designed solver.

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