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Found 5152 publications
Assessing the influence of financial repression on Bangladesh's financial development
Publication Name: Multidisciplinary Science Journal
Publication Date: 2026-07-08
Volume: 8
Issue: 3
Page Range: Unknown
Description:
We investigate how financial repression affects financial development of Bangladesh over the period 1980-2022. Employing VECM, we find that repression policies negatively affect financial development, meaning that controlling the financial sector counteracts financial progress. Following the results, we recommend some policies. To accelerate financial progress, policymakers need to rethink on these restrictive policy instruments. For emerging nations like Bangladesh, this paper offers the first empirical data on the connection between financial repression and financial development.
Open Access: Yes
Assessment of soil erosion patterns in Maharloo watershed using remote sensing techniques and early warning signals
Publication Name: Journal of Arid Environments
Publication Date: 2026-02-01
Volume: 232
Issue: Unknown
Page Range: Unknown
Description:
This study assessed the soil erosion dynamics in Iran's Maharloo watershed using remote sensing indices (Normalized Difference Vegetation Index (NDVI), Normalized Difference Salinity Index (NDSI), and Topsoil Grain Size Index (TGSI)) and machine learning models (RF, SVM, and BRT). Landsat 8 satellite images (2005–2024) were processed via the Google Earth Engine, with field validation ensuring accuracy. Among the indices, TGSI (R2 = 0.86), NDSI (R2 = 0.89), and NDVI (R2 = 0.87) showed the strongest correlations with ground data (Rain, Soil and Vegetation). The RF outperformed the other models (AUC = 0.89), identifying the central and western regions as warning erosion zones. Breakpoint analysis revealed abrupt changes in NDVI and NDSI (2013), while early warning signals (autocorrelation, variance, and skewness) indicated an escalating erosion warning, particularly near wetlands and rainfed fields. Spatial trends highlighted significant NDVI declines (Kendall's τ = 0.69) in wetland peripheries and NDSI increased (τ = 0.52) in northern farmlands. These findings underscore the efficacy of integrating machine learning and remote sensing for erosion monitoring, providing actionable insights for land management and conservation strategies.
Open Access: Yes
Uncovering network changes in the evolution of an innovation niche
Publication Name: Social Networks
Publication Date: 2026-01-01
Volume: 84
Issue: Unknown
Page Range: 87-100
Description:
The present paper aims at unravelling the networking dynamics regarding the evolution of an innovation-niche, by looking at its network configuration over time. To this end, we investigate the actors’ role within the network as well as the network architecture. We employ the social network analysis (SNA) to four different but interrelated types of networks characterising the Italian biofuel industry. Each network was investigated in both its development and maturity phase. Our findings show that, over the niche evolution, actors established new relations, increasing networks’ density and making the networks more centralized. Furthermore, while two out of four networks confirmed their small world configuration over time, one (i.e. “communication” network) increased its small-world-ness, providing a larger number of information channels and more social reinforcement chances for niche actors to innovate. Overall, results suggest that policy makers should accompany and ease the innovation-niche evolution path by fostering the participation of the laggard behind and actors' clusterization, moderating any possible lock-in risk.
Open Access: Yes
The Impact of Diverse Gateway Implementations on Mesh Network Performance
Publication Name: Lecture Notes on Data Engineering and Communications Technologies
Publication Date: 2026-01-01
Volume: 263
Issue: Unknown
Page Range: 27-38
Description:
Wireless Mesh Networks (WMNs) provide seamless connectivity in rapidly changing and dense environments. But when gateways are integrated to provide network access from outside the current topology, several issues become problems. These include maintaining high levels of performance, energy efficiency, security awareness and interconnection. Traditional routing protocols such as Ad hoc On-Demand Distance Vector Routing (AODV) were not able to achieve these two purposes at all in a hybrid setting where efficient communication with the gateway was needed, especially when faced with high mobility, node density and changing traffic loads. This paper introduces that the problem can be resolved by implementing Fuzzy Control Energy Efficient (FCEE) routing in WMNs The FCEE routing method, characteristic innovative energy-efficient real-time failure mechanism and overall network performance enhancement for wireless mesh networks By integrating fuzzy logic into the AODV framework, the FCEE method adds a short-term memory module that optimizes packet broadcasts based on real-time levels of energy available to each node. The FCEE method not only enhances decision-making for packet forwarding but also reduces unwanted broadcasts thus extending the life of the entire network. Simulations show the FCEE performs better than traditional methods in terms of both energy efficiency, congestion control, and adaptability to dynamic situations. The proposed method thus provides an affordable way to improve the operation of wireless mesh networks, particularly in the case of high traffic areas or long periods where resources are constrained.
Open Access: Yes
Aerodynamic Effect of Shallow Circumferential Grooves in the Shroud of a Centrifugal Compressor
Publication Name: Journal of Turbomachinery
Publication Date: 2026-01-01
Volume: 148
Issue: 1
Page Range: Unknown
Description:
The standard aerodynamic design of a centrifugal compressor features an unshrouded impeller with a smooth shroud. However, the shape of the shroud significantly influences the final compressor parameters. Previous research has shown that even small geometric changes in the shroud, referred to as casing treatment, can substantially affect the operating characteristics of a rotating machine. This article presents a novel casing treatment for a centrifugal compressor, involving the creation of ten circumferential grooves with a semi-circular profile in a meridional section. The radius of these grooves is approximately equal to the tip clearance. Experimental results demonstrate that the presence of these grooves shifts the surge line toward lower flowrates, increases efficiency in a narrow region between the best efficiency point and the surge line and shifts the choke line toward lower flowrates. External sound pressure measurements indicate a reduction in amplitudes at sub-synchronous frequencies, suggesting a potential link between the compressor map's influence and the suppression of aerodynamic instabilities. Computational fluid dynamics analysis supports the experimental observations, revealing a significant influence of energy dissipation caused by the applied grooves. This study highlights the considerable impact of shroud geometry on centrifugal compressors with unshrouded impellers and offers valuable insights for further research into casing treatments.
Open Access: Yes
DOI: 10.1115/1.4069422
Structural behavior of built-up I-shaped high-strength cold-formed steel columns with edge-stiffened holes, unstiffened holes, plain webs, and batten reinforcement
Publication Name: Thin Walled Structures
Publication Date: 2026-01-01
Volume: 218
Issue: Unknown
Page Range: Unknown
Description:
Cold-formed steel (CFS) back-to-back channel sections are widely employed as load-bearing structural components due to their high strength-to-weight ratio and ease of fabrication. These sections are often perforated to facilitate service installations; however, the presence of holes alters stress distribution, reduces axial load capacity, and increases the complexity of structural analysis. To investigate these effects, a geometrically and materially nonlinear finite element (FE) model was developed and validated against experimental data from existing literature. Specifically, the validation results demonstrated a strong correlation, with the ratios of Finite Element Analysis (FEA) and Direct Strength Method (DSM) predictions to experimental findings being 1.001 and 1.003, respectively. These results indicate a high level of agreement between experimental data, FE analysis, and strength predictions according to the American Iron and Steel Institute (AISI) and the Australian/New Zealand Standards (AS/NZS). Subsequently, the validated FE model was utilized to perform an extensive parametric study involving 130 simulations to examine the influence of hole geometry, edge stiffeners, and batten reinforcement plates on the axial capacity of built-up CFS columns. The results indicate that unstiffened slotted holes lead to an approximate 10.3% reduction in strength, whereas edge-stiffened square holes contribute to a 2.7% increase in axial capacity. Additionally, batten-reinforced unstiffened rectangular holes and edge-stiffened rectangular holes were found to enhance strength by approximately 7.5% and 15.5%, respectively. Moreover, incorporating batten plate reinforcements in plain columns improved axial capacity by approximately 6%. These findings provide valuable insights into the structural behavior of perforated CFS built-up columns and highlight the effectiveness of hole stiffeners and batten reinforcements in mitigating strength reductions caused by perforations.
Open Access: Yes
Tackling energy poverty with renewable energy Projects: Fuzzy decision support system based on virtual and real experts
Publication Name: Renewable Energy
Publication Date: 2026-01-01
Volume: 256
Issue: Unknown
Page Range: Unknown
Description:
Energy poverty is a serious problem that increases economic inequalities, especially because individuals living in low-income areas have difficulty accessing energy. The development of renewable energy projects (REP) plays a critical role in reducing energy poverty. However, there is considerable uncertainty in determining strategies that will increase the effectiveness of REP to solve the problem of energy poverty. The purpose of this paper is to identify significant strategies to improve REP for the effective management of energy poverty problems by establishing a novel model. First, dimension reduction methodology is considered to calculate the importance of decision makers. The second stage includes prioritization of criteria using p,q-Spherical fuzzy (SFS) analytic hierarchy process (AHP). The final stage focuses on ranking of renewable energy investment (REI) alternatives using p,q-SFS weighted aggregated sum product assessment (WASPAS). The contribution of this paper to the literature is the determination of critical indicators that will increase the performance of REI to reduce the energy poverty problem with an original and comprehensive decision-making model. Creating a virtual expert is the main superiority of this proposed model. With the help of this issue, it can be possible to reach a sufficient number of experts. Hence, a more diverse and comprehensive evaluation can be conducted. The findings denote that start-up costs and geographical conditions have the highest significance to improve REP for the aim of minimizing energy poverty problem. Rooftop solar panels and micro wind turbines are also found as the most essential REI strategies.
Open Access: Yes
Analysis of magnetohydrodynamic flow of Jeffrey-Hamel fluid in convergent/divergent channels using the numerical algorithm
Publication Name: Kuwait Journal of Science
Publication Date: 2026-01-01
Volume: 53
Issue: 1
Page Range: Unknown
Description:
This study explores the magnetohydrodynamic (MHD) flow of a Jeffrey-Hamel fluid within a convergent/divergent channel, a scenario relevant to both physical and biological sciences. The flow dynamics between nonparallel inclined walls are governed by highly nonlinear differential equations derived through conservation laws and similarity transformations. By applying similarity transformations, the governing partial differential equations (PDEs) are converted into ordinary differential equations (ODEs). The NDSolve approach is then utilized to obtain numerical solutions for these equations. A comparison with existing methods in the literature confirms the accuracy and reliability of the results. Additionally, the impact of various dimensionless physical parameters, such as the influence of the magnetic parameter, angle alpha, and the Deborah number on the velocity profile is investigated. The parameters angle alpha, Eckert number, and volume friction are examined on the temperature profile, followed by a detailed discussion of the findings.
Open Access: Yes
A novel numerical investigation of fiber Bragg gratings with dispersive reflectivity having polynomial law of nonlinearity
Publication Name: Scientific Reports
Publication Date: 2025-12-01
Volume: 15
Issue: 1
Page Range: Unknown
Description:
Fiber Bragg gratings represent a pivotal advancement in the field of photonics and optical fiber technology. The numerical modeling of fiber Bragg gratings is essential for understanding their optical behavior and optimizing their performance for specific applications. In this paper, numerical solutions for the revered optical fiber Bragg gratings that are considered with a cubic-quintic-septic form of nonlinear medium are constructed first time by using an iterative technique named as residual power series technique (RPST) via conformable derivative. The competency of the technique is examined by several numerical examples. By considering the suitable values of parameters, the power series solutions are illustrated by sketching 2D, 3D, and contour profiles. The results obtained by employing the RPST are compared with exact solutions to reveal that the method is easy to implement, straightforward and convenient to handle a wide range of fractional order systems in fiber Bragg gratings. The obtained solutions can provide help to visualize how light propagates or deforms due to dispersion or nonlinearity.
Open Access: Yes
