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It is believed that the canonical gravitational partition function associated with the twobody interacting Newton’s gravitation cannot be constructed because the concomitant integral is exponentially divergent. We show...

The article examines the role of statistical accounting and classification of water resources in ensuring sustainable development, environmental balance, and economic security. Water is not only a fundamental component o...

We performed a systematic approach using statistical tools to understand the effect of the water chemistry on removal of microorganisms using ultrafiltration. We applied a four-factor at two-level factorial design with c...

The article contains results of a statistical study of water resource accounting in Ukraine in the conditions of martial law. The regulatory framework of water use is shown: constitutional principles and provisions of th...

In this work we address the classical statistical mechanical problem of calculating the residual entropy of ice models. The numerical work found in the literature is usually based on extrapolating to infinite-size result...

The effect of electronic payment systems on economic growth in Nigeria was investigated in this study using secondary data obtained from the CBN Statistical Database and NBS for the years 2010q1–Q4 to 2023q1–Q4. The ...

Abstract Occupational Health and Safety (OHS), which holds substantial importance due to its profound human implications and far-reaching economic consequences, requires effective management to minimize workplace acciden...

Context. Co-orbital objects, also known as Trojans, are celestial bodies that share a 1:1 mean motion resonance orbit with a planet. Many planets in our Solar System hold Trojans, yet none has been confirmed in exoplanet...

Abstract The Broad Learning System (BLS) provides an effective framework for nonlinear mapping, offering advantages over traditional deep neural networks through its expanded input node architecture. While BLS has demons...

In this paper we present a new reduced complexity maximum likelihood sequence detector for intensity modulation / direct detection (IM/DD) fiber optic systems. The proposed detector takes into account the presence of the...

We use cosmological hydrodynamical simulations including star formation and metal enrichment to study the evolution of the chemical properties of galaxy-like objects at high redshift in the range 0.25 < z < 2.35 in a hie...

Abstract Backgrounds Nickel-titanium (NiTi) rotary instruments are widely used in endodontics because of their flexibility and superelasticity. However, the cyclic fatigue resistance of ORODEKA and M3-L systems in curved...

The article contains a feasibility analysis of using big data of payment systems for building forecasting models for the dynamics of consumer demand as a core factor of the retail turnover. The relevance of this research...

The integration of wind energy into power systems has intensified as a result of the urgency for global energy transition. This requires more accurate forecasting techniques that can capture the variability of the wind r...

ABSTRACT The rapid advancement of medicine, fueled by big data and interdisciplinary research, has significantly transformed the landscape of computational oncology research. In this evolving environment, effective time ...

The percolation problem of interacting particles on square lattices with two kinds of energetically different sites is studied. Square lattices formed by collections of either randomly or orderly distributed sites are ge...

Many real-life signals and, in particular, in the space physics domain, exhibit variations acrossdifferent temporal scales. Hence, their statistical momenta may depend on the time scale at which the signal is studied. To...

The article reveals the demographic-labor atrophy of Ukraine as an integral socio-economic phenomenon, which, under conditions of prolonged polycrisis (military actions, demographic depletion, labor market distortions, s...

This paper analyzes the statistical toolkit of Eurostat for collecting and processing data on the implementation of Artificial Intelligence (AI) in enterprises across European Union (EU) countries. The study defines the ...

Demographic ageing and the associated increase in the old-age dependency ratio pose significant challenges to the long-term sustainability of pay-as-you-go (PAYG) pension systems across Europe. Slovenia, as a post-transi...

ObjectivesThis study examines whether smart city development is associated with improvements in medical service performance across Chinese provinces, addressing the limited large-scale quantitative evidence on digital go...

The balance and sustainability of coffee agroecosystems in southwestern Antioquia depend on the interactions and synergisms that take place above and below the ground. Within these, the functional groups of edaphic macro...

Dynamic fault trees (DFTs) are widely adopted in industry to assess the dependability of safety-critical equipment. Since many systems are too large to be studied numerically, DFTs dependability is often analysed using M...

Abstract Purpose Identify factors associated with infant mortality by a hierarchical model based on socioeconomic, health care, obstetric and biological determinants in a northeastern Brazilian capital. Methods Obser...