Model Calculations Research Articles

Deciphering Financial Strength: Evaluating Urban Cooperative Banks in India through the CAMEL Model

Urban Cooperative Banks (UCBs) are vital to India's banking sector, especially in urban and semi-urban areas. Evaluating their financial performance is essential to understand their economic contribution. This study assesses UCBs' financial performance over a specified period, identifying key indicators and trends influencing their operations. The main objective of this study is to evaluate the financial performance of Urban Cooperative Banks (UCBs) in India from 2020-21 to December 2022. It seeks to identify and quantify key indicators that act as benchmarks for assessing UCB performance. Furthermore, the study utilizes the CAMEL model calculations to analyze these banks' financial frameworks across India. This research employs a quantitative methodology, drawing on data from the Reserve Bank of India (RBI) and Urban Cooperative Banks (UCBs) financial reports. The CAMEL framework is applied to examine the banks' Capital adequacy, Asset quality, Management efficiency, Earnings potential, Liquidity status, Credit flow to agriculture, and asset expansion to assess their financial progress during the defined timeframe. Findings and Results: It sheds light on the bank's ability to withstand economic challenges, adapt to market changes, and capitalise on expansion opportunities, thereby highlighting its long-term sustainability and potential for development in the evolving financial landscape Practical Implications: Here the researchers proposed study offers practical insights for banking associations, policymakers, investors, and stakeholders in the UCB sector. By identifying financial strengths and weaknesses, this research can guide strategic interventions to enhance UCB's stability and growth.

A Global-Scale Overlapping Pixels Calculation Method for Whisk-Broom Payloads with Multi-Module-Staggered Longlinear-Array Detectors

A multi-module staggered (MMS) long-linear-array (LLA) detector is presently recognized as an effective and widely adopted means of improving the field of view (FOV) of in-orbit optical line-array cameras. In particular, in terms of low-orbit whisk-broom payloads, the MMS LLA detector combined with the one-dimensional scanning mirror is capable of achieving both large-swath and high-resolution imaging. However, because of the complexity of the instantaneous relative motion model (IRMM) of the whisk-broom imaging mechanism, it is really difficult to determine and verify the actual numbers of overlapping pixels of adjacent detector sub-module images and consecutive images in the same and opposite scanning directions, which are exceedingly crucial to the instrument design pre-launch as well as the in-orbit geometric quantitative processing and application post-launch. Therefore, in this paper, aiming at addressing the problems above, we propose a global-scale overlapping pixels calculation method based on the IRMM and rigorous geometric positioning model (RGPM) of the whisk-broom payloads with an MMS LLA detector. First, in accordance with the imaging theory and the specific optical–mechanical structure, the RGPM of the whisk-broom payload is constructed and introduced elaborately. Then, we qualitatively analyze the variation tendency of the overlapping pixels of adjacent detector sub-module images with the IRMM of the imaging targets, and establish the associated overlapping pixels calculation model based on the RGPM. And subsequently, the global-scale overlapping pixels calculation models for consecutive images of the same and opposite scanning directions of the whisk-broom payload are also built. Finally, the corresponding verification method is presented in detail. The proposed method is validated using both simulation data and in-orbit payload data from the Thermal Infrared Spectrometer (TIS) of the Sustainable Development Goals Satellite-1 (SDGSAT-1), launched on 5 November 2021, demonstrating its effectiveness and accuracy with overlapping pixel errors of less than 0.3 pixels between sub-modules and less than 0.5 pixels between consecutive scanning images. Generally, this method is suitable and versatile for the other scanning cameras with a MMS LLA detector because of the similarity of the imaging mechanism.

Influence of screw angle and position on the extraction dynamics of Cross-Laminated Timber: an empirical analysis and comparative modeling study

ABSTRACT The design of dowel-type fastener connections is crucial for the structural integrity of Cross-Laminated Timber (CLT) systems, with individual fastener anchorage capacity as a key factor. This study investigates the withdrawal performance of Self-Tapping Screws (STSs) in CLT systems using Canadian Douglas fir. Four driving angles—45°, 60°, 75°, and 90°—were tested, alongside screw placements within panel gaps. Optimal performance was observed at 75° and 90°, with 90° placement in gaps enhancing stiffness and ductility but reducing energy dissipation. The ratios of experimental capacities to model predictions were 1.26–1.49 for the Blaß and Uibel (B&U) model and 1.36–1.56 for Eurocode 5 (EC5). The new EC5 code, compared to the previous version, includes several advancements such as more accurate material properties and improved calculation methods for fastener withdrawal capacity, offering enhanced prediction accuracy for STS performance in CLT. The discrepancies in the over-strength factors predicted by the new EC5 version ranged from 1.07 to 1.37. These findings suggest the need to consider the incorporation of a specific calculation model for STS withdrawal capacity in CLT, such as the Ringhofer et al. model, in the next revision of EC5.

Reliability analysis of harmonic drive with multiple failure modes based on improved calculation model of flexspline stress

Reliability analysis of harmonic drive with multiple failure modes based on improved calculation model of flexspline stress

Particle production as a function of charged-particle flattenicity in pp collisions at s=13 TeV

This paper reports the first measurement of the transverse momentum (pT) spectra of primary charged pions, kaons, (anti)protons, and unidentified particles as a function of the charged-particle flattenicity in pp collisions at s=13 TeV. Flattenicity is a novel event shape observable that is measured in the pseudorapidity intervals covered by the V0 detector, 2.8<η<5.1 and −3.7<η<−1.7. According to QCD-inspired phenomenological models, it shows sensitivity to multiparton interactions and is less affected by biases toward larger pT due to local multiplicity fluctuations in the V0 acceptance than multiplicity. The analysis is performed in minimum-bias (MB) as well as in high-multiplicity events up to pT=20 GeV/c. The event selection requires at least one charged particle produced in the pseudorapidity interval |η|<1. The measured pT distributions, average pT, kaon-to-pion and proton-to-pion particle ratios, presented in this paper, are compared to model calculations using 8 based on color strings and EPOS LHC. The modification of the pT-spectral shapes in low-flattenicity events that have large event activity with respect to those measured in MB events develops a pronounced peak at intermediate pT (2<pT<8 GeV/c), and approaches the vicinity of unity at higher pT. The results are qualitatively described by , and they show different behavior than those measured as a function of charged-particle multiplicity based on the V0M estimator. © 2025 CERN, for the ALICE Collaboration 2025 CERN

Efficient automatic estimation of soil constitutive model parameters via particle swarm optimization

Abstract In this study, we automatically estimated the parameters of the modified Cam-Clay model, a representative constitutive model for soil. The estimation was carried out by minimizing the objective function using the dynamic multiswarm particle swarm optimization (DMS-PSO) algorithm, which is an improvement over the original PSO. The objective function was newly defined by quantifying the discrepancy between the targeted results and the model calculations in q-p′-v space. DMS-PSO divides particles into several islands to search globally and prevent local solutions, and even particles that fall into a local solution can be relocated. To evaluate the automatic estimation performance of DMS-PSO, we examined whether model parameters could be correctly estimated from the calculation results (Consideration (1)) and whether the DMS-PSO algorithm could consistently obtain the same parameter values when reproducing the experimental results (Consideration (2)). Regarding Consideration (1), the objective function was consistently smaller than 1.0 × 10–6 when the number of particles was greater than 400 and the number of islands was greater than 40. At this time, the parameter values could be estimated to the fifth decimal place. When two experiments were conducted, the estimation was obtained approximately 1.5 times faster than when only one was conducted. Regarding Consideration (2), the coefficient of variation of the parameters obtained from 100 estimations was at most 1%, and the parameter values were estimated to be approximately the same each time. In addition, narrowing the solution search range based on soil physical properties could reduce the variation in parameters by approximately 10%. Additionally, the parameters could be accurately estimated by data from at least two mechanical experiments.

K-Edge Measurement Technology Simulation Model Design

Abstract Based on the principle of K-edge technology and particle transport theory, the article establishes the calculation model of K-edge measurement technology, which includes key components such as the continuous X-ray light source, high-purity germanium detector, cylindrical sample, collimator, and so on. In terms of light source setting, the light source function was obtained by linear interpolation method according to the X-ray light source model formula; in terms of K-edge absorption distance, the average K-edge absorption distance calculation method was adopted to improve the concentration calculation formula. The calibration factor was obtained under the experimental conditions with 8mm diameter sample bottles. Under identical experimental conditions, the validation was tested out using samples with concentrations of 150g/L and 300g/L. The reconstructed Uranium concentrations were 148.5g/L and 294g/L, with deviations of 1% and 2% between the initial values, respectively. To further validate the correctness of the modified concentration calculation formula, the diameters of the sample bottles were altered to 6mm and 10mm, and the corresponding calibration factors were obtained respectively. Verification experiments were subsequently carried out using solutions with concentrations of 150g/L and 300g/L. The simulation outcomes validate the accuracy of the model and the modified concentration calculation formula. The calculation model constructed in the article combines with actual application scenarios to provide preliminary technical assurance for the expansion and optimization of K-edge measurement technology.

Real-Time Temperature Prediction Model for Online Continuous Casting Control Using Simplified Boundary Condition Computing Method

Numerical process modeling of continuous casting is increasingly applied to optimize production practices for higher product quality guarantees, in which real-time temperature prediction is the key factor that makes it possible to observe and optimize the solidification behavior of the continuous casting process. For offline simulations, the completeness of boundary conditions and accuracy of calculation are core concerns; as for online control, the stability of the model calculation and the correctness are equally important. This study demonstrates a process tracking and online control model of continuous casting based on IoT technology and proposes a simplified calculation method for secondary cooling boundary conditions. The proposed method calculates a comprehensive heat transfer coefficient based on offline simulated parameters and computes the total heat flux of a secondary cooling zone. The experimental results show that the temperature field calculated by this method is stable, and the difference between the actual measured temperature is within an acceptable range of 15 °C. The proposed method no longer requires an online model to consider four types of heat transfer boundary conditions, improving the versatility of the online model. The smoother surface temperature curve is beneficial for dynamic control of secondary cooling water. It can be an alternative method for implementing a more conducive online continuous casting model.

What we can learn from the angular differential rates from semileptonic B→D*ℓνℓ decays

We present a simple approach to the study of semileptonic B→D*ℓνℓ decays based on the angular distributions of the final state particles only. Our approach is model independent and never requires the knowledge of |Vcb|. By studying such distributions in the case of light leptons, a comparison between results from different datasets from the Belle and BelleII Collaborations and between data and Standard Model calculations is also given for several interesting quantities. A good consistency is observed between some of the experimental results and the theoretical predictions. Published by the American Physical Society 2025

Research on the Carbon Footprint Accounting Method of Transformer’s Whole Life Cycle Under the Background of Double Carbon

In response to the existing gaps in the carbon footprint assessment framework for core electrical equipment transformers, which impedes power companies from effectively supporting low-carbon procurement of materials and products, this study proposes a novel evaluation method for transformer carbon footprints. This method comprehensively considers all stages of the transformer lifecycle, including manufacturing, transportation, installation, operation, and decommissioning. A review of mainstream carbon footprint accounting schemes, both domestic and international, is first presented, summarizing established accounting methods and calculation processes. The paper then introduces a novel, integrated carbon footprint accounting approach for transformers, covering the entire ‘cradle-to-grave’ lifecycle, along with an associated calculation model. This framework analyzes the carbon footprint composition across production, assembly, transportation, usage, and recycling stages for four commonly used, high-efficiency transformers at State Grid Xinjiang Electric Power Company, the carbon footprint of an oil-immersed 100 kVA/10 kV transformer is 2.353 × 106 kg CO2e, approximately half that of a conventional 100 kVA/10 kV transformer. Finally, the study provides recommendations for carbon reduction pathways for transformers, considering both functional substitution and technological carbon reduction strategies.

A Modified B-Differentiable Equation Method for the Seismic Analysis of Arch Dams Considering the Initial Strength of Contraction Joints

For arch dams, the joint surface has a certain bond strength after grouting the contraction joints, which can withstand the arch-wise tensile stress to a certain extent and influence the stress distribution of the dam blocks on both sides. The seismic response analysis of arch dams needs to consider the influence of the initial tensile and shear strengths generated by the contraction joint grouting. Thus, a modified B-differentiable equation method is proposed by introducing the initial tensile strength and the initial shear strength of contraction joints the into traditional B-differentiable equation method. In the proposed method, the shear strength varies with the contraction joint opening. The modified B-differentiable equation method can still be solved by the B-differentiable damped Newton method with theoretical guarantee of convergence. Then, a seismic calculation model for the dam–reservoir–foundation system is developed based on the modified B-differentiable equation method, the Westergaard additional mass method, and multiple transmission boundary conditions. The influence of the initial tensile and shear strength of the contraction joints on the arch dam seismic response is discussed. The results show that the initial tensile and shear strength of the contraction joints have an influence on the opening and distribution range of the contraction joints and the maximum values of the principal tensile and compressive stress in the dam body. The initial tensile and compressive strength of the contraction joints should be considered when carrying out seismic response analysis of arch dams.

Electromagnetic Field Modeling and Optimization Design of Axial Magnetic Flux Eddy Current Brake Considering Non‐Ideal Factors

Accurate analytical calculation of electromagnetic field is the basis of research and optimization of axial magnetic flux eddy current brake, and structural optimization design is the key to improving system performance and reducing engineering construction costs. In order to establish an accurate analytical calculation model of electromagnetic field of axial magnetic flux eddy current brake, based on the two‐dimensional analytical calculation model of electromagnetic field, this paper comprehensively considers the influence of non‐ideal factors such as core saturation, transverse dynamic end effect and secondary skin effect on the electromagnetic characteristics of axial magnetic flux eddy current brake, and obtains an improved analytical calculation model of electromagnetic field by introducing corresponding correction coefficients, and verifies the accuracy of the analytical calculation model of electromagnetic field by comparing with the numerical calculation results of three‐dimensional electromagnetic field finite element model. On this basis, an improved multi‐objective particle swarm optimization algorithm is adopted to optimize the system design, so as to increase the electromagnetic braking torque, reduce the electromagnetic axial force and reduce the secondary mass. Finally, the accuracy of the above electromagnetic field analytical calculation model and optimization design results is verified on the experimental research platform of axial magnetic flux eddy current brake, which can provide theoretical basis for subsequent researchers to design and optimize the electromagnetic scheme. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

Low-loss on-chip superconducting microwave circulator assisted by shunting capacitors

Ferrite-free circulators that are passive and readily integratable on a chip are highly sought-after in quantum technologies based on superconducting circuits. In our previous work, we implemented such a circulator using a three-Josephson-junction loop that exhibited unambiguous nonreciprocity and signal circulation, but required junction energies to be within 1% of design values. This tolerance is tighter than standard junction fabrication methods provide, so we propose and demonstrate a design improvement that relaxes the required junction fabrication precision, allowing for higher device performance and fabrication yield. Specifically, we introduce large direct capacitive couplings between the waveguides, which based on the modeling we describe here, requires less stringent junction fabrication tolerance. We implement the design, and measure enhanced “circulation fidelity” above 97%, with optimized on-resonance insertion loss of 0.2 dB, isolation of 18 dB, and power reflectance of −15dB, in good agreement with model calculations. Published by the American Physical Society 2025

A First-Principles Study on the Dislocation Properties of Face-Centered Cubic Metals

The generalized stacking fault energy (GSFE) surface is investigated based on a new anti-alias model and first-principles calculation. Then, based on the outcomes derived from the GSFE surface analysis and the improved Peierls–Nabarro model, the major core properties including core width, Peierls energy, and stress of edge and screw dislocations in Al, Ni, Cu, and Ag are investigated in detail, and the lowest-energy migration pathways for diverse dislocations are investigated. Finally, a quantitative relationship between the ratio of core width to atomic spacing and the Peierls stress is established.

Corrosion of Low-Alloy Steel in Ethanolamine Steam Generator Chemistry-The Effect of Temperature and Flow Rate.

The corrosion of low-alloy steel in ethanolamine solution, simulating steam generator chemistry, is studied by in situ chronopotentiometry and electrochemical impedance spectroscopy combined with ex situ analysis of the obtained oxide films and model calculations. Hydrodynamic calculations of the proposed setup to study flow-assisted corrosion demonstrate that turbulent conditions are achieved. Quantum chemical calculations indicate the adsorption orientation of ethanolamine on the oxide surface. Interpretation of impedance spectra with a kinetic approach based on the mixed-conduction model enabled estimating the rate constants of oxidation at the alloy-oxide interface, as well as charge transfer and ionic transport resistances of the corrosion process. In turbulent conditions, the dissolution of Fe oxide and ejection of Fe cations are enhanced, leading to Cr enrichment in the oxide and alteration of its electronic and electrochemical properties that influence the corrosion rate.

Simplified Model for the Behaviour of Asphalt Mixtures Depending on the Time and the Frequency Domain.

Sigmoid functions are widely used for the description of viscoelastic material properties of asphalt mixtures. Unfortunately, there are still no known closed functions for describing connections among model parameters in the time and the frequency domains. In most cases, complicated interconversion methods are applied for the conversion of viscoelastic material properties. To solve this problem, an empirical material model with four parameters has been developed. Parameters of the model can be quickly determined in the frequency domain and can be used in an unchanged way for the description of the material behaviour of the asphalt mixture in the time domain. The new model starts from the mathematical formula of the Ramberg-Osgood material model (short form RAMBO) and its main advantage is that its parameters are totally independent. Model calculations have been performed for the determination of factors necessary for the interconversion in the time and the frequency domains, applying the approximate procedure of Ninomiya and Ferry. The analysis of data has indicated that the interconversion factors in the time and the frequency domains depend only on the slope of the new empirical model function. Consequently, there is no need for further calculations, since the RAMBO model parameters determined in the frequency domain provide an excellent characterisation of the analysed mixture in the time domain as well. The developed new empirical material model has been verified using laboratory data and exact numerical calculations.

A Piecewise Linearization Based Method for Crossed Frequency Admittance Matrix Model Calculation of Harmonic Sources.

The integration of large-scale power electronic equipment has intensified harmonic issues in power systems. Accurate harmonic models are fundamental for evaluating and mitigating harmonic problems, but existing models still exhibit deficiencies in harmonic mechanism, model complexity and accuracy. This work proposes a calculation method of crossed frequency admittance matrix (CFAM) analytical model based on piecewise linearization, aiming to achieve accurate modeling of phase-controlled power electronic harmonic sources. Firstly, the traditional CFAM model construction methods are introduced, and the shortcomings in harmonic modeling are discussed. Subsequently, the parameter-solving process of the CFAM analytical model based on piecewise linearization is proposed. This method improves the accuracy of harmonic modeling and simplifies the construction process of the analytical model. Furthermore, taking single-phase and three-phase bridge rectifiers as examples, CFAM analytical models under intermittent and continuous load current conditions are established, respectively, and the unified harmonic models for both conditions are summarized. Finally, case studies of rectifier harmonic sources under varying circuit control parameters and supply voltage distortions are conducted through Matlab/Simulink and experiments. The results demonstrate that the proposed method provides higher accuracy and more stable performance for harmonic current estimation compared with the traditional CFAM model and constant current source model.

Calculation models of beams with one-way connections

Calculation models of beams with one-way connections

Features of the Defect Structure of LiNbO3:Mg:B Crystals of Different Composition and Genesis.

We proposed and investigated a refinement of technology for obtaining Mg-doped LiNbO3 (LN) crystals by co-doping it with B. LN:Mg (5.0 mol%) is now the most widely used material based on bulk lithium niobate. It is suitable for light modulation and transformation. We found that non-metal boron decreases threshold concentrations of the target dopant in many ways. In addition, we earlier determined that the method of boron introduction into the LN charge strongly affects the LN:B crystal structure. So we investigated the point structural defects of two series of LN:Mg:B crystals obtained by different doping methods, in which the stage of dopant introduction was different. We investigated the features of boron cation localization in LN:Mg:B single crystals. We conducted the study using XRD (X-ray diffraction) analysis. We have confirmed that the homogeneous doping method introduces an additional defect (MgV) into the structure of LN:Mg:B single crystals. Vacancies in niobium positions (VNb) are formed as a compensator for the excess positive charge of point structural defects. According to model calculations, boron is localized in most cases in the tetrahedron face common with the vacant niobium octahedron from the first layer (VNbIO6). The energy of the Coulomb interaction is minimal in the LN:Mg:B crystal (2.57 mol% MgO and 0.42 × 10-4 wt% B in the crystal); it was obtained using the solid-phase doping technology. The solid-phase doping technology is better suited for obtaining boron-containing crystals with properties characteristic of double-doped crystals (LN:Mg:B).

Adaptive Simplified Calculation of Algal Bloom Risk Index for Reservoir-Type Drinking Water Sources Based on Improved TOPSIS and Identification of Risk Areas

As a result of global climate change and human production activities, algal blooms are occurring in aquatic environments. The problem of eutrophication in water bodies is becoming increasingly severe, affecting the safety of drinking water sources. In this study, an algal bloom risk index model combining the Improved Fuzzy Analytic Hierarchy Process (IFAHP), Entropy Weight Method (EWM), and Game Theory (GT) was proposed for the Shanxi Reservoir based on the TOPSIS method. After the seasonal and spatial variability in algal bloom risk from 2022 to 2023 was analyzed, an adaptive simplification of the algal bloom risk index calculation was proposed to optimize the model. To enhance its practical applicability, this study proposed an adaptive simplification of the algal bloom risk index calculation based on an improved TOPSIS approach. The error indexes R2 for the four seasons and the annual analysis were 0.9884, 0.9968, 0.9906, 0.9946, and 0.9972, respectively. Additionally, the RMSE, MAE, and MRE values were all below 0.035, indicating the method’s high accuracy. Using the adaptively simplified risk index, a risk grading and a spatial delineation of risk areas in Shanxi Reservoir were conducted. A comparison with traditional risk classification methods showed that the error in the risk levels did not exceed one grade, demonstrating the effectiveness of the proposed calculation model and risk grading approach. This study provides valuable guidance for the prevention and control of algal blooms in reservoir-type drinking water sources, contributing to the protection of drinking water sources and public health.