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Considers the convergence of Adomian’s method applied to algebraic equations. Presents directly some conditions of convergence which only depend on the equations’ coefficients and also gives an estimation of the truncation error together with some numerical applications.

To provide a new proof of convergence of the Adomian decomposition series for solving nonlinear ordinary and partial differential equations based upon a thorough examination of the historical milieu preceding the Adomian decomposition method.

Develops a theoretical background of the Adomian decomposition method under the auspices of the Cauchy‐Kovalevskaya theorem of existence and uniqueness for solution of differential equations. Beginning from the concepts of a parametrized Taylor expansion series as previously introduced in the Murray‐Miller theorem based on analytic parameters, and the Banach‐space analog of the Taylor expansion series about a function instead of a constant as briefly discussed by Cherruault et al., the Adomian decompositions series and the series of Adomian polynomials are found to be a uniformly convergent series of analytic functions for the solution u and the nonlinear composite function f(u). To derive the unifying formula for the family of classes of Adomian polynomials, the author develops the novel notion of a sequence of parametrized partial sums as defined by truncation operators, acting upon infinite series, which induce these parametrized sums for simple discard rules and appropriate decomposition parameters. Thus, the defining algorithm of the Adomian polynomials is the difference of these consecutive parametrized partial sums.

The four classes of Adomian polynomials are shown to belong to a common family of decomposition series, which admit solution by recursion, and are derived from one unifying formula. The series of Adomian polynomials and hence the solution as computed as an Adomian decomposition series are shown to be uniformly convergent. Furthermore, the limiting value of the mth Adomian polynomial approaches zero as the index m approaches infinity for the prerequisites of the Cauchy‐Kovalevskaya theorem. The novel truncation operators as governed by discard rules are analogous to an ideal low‐pass filter, where the decomposition parameters represent the cut‐off frequency for rearranging a uniformly convergent series so as to induce the parametrized partial sums.

This paper unifies the notion of the family of Adomian polynomials for solving nonlinear differential equations. Further it presents the new notion of parametrized partial sums as a tool for rearranging a uniformly convergent series. It offers a deeper understanding of the elegant and powerful Adomian decomposition method for solving nonlinear ordinary and partial differential equations, which are of paramount importance in modeling natural phenomena and man‐made device performance parameters.

The study examines the role of regulation in the fintech-based financial inclusion (FBFI)–risk-taking nexus in the Sub-Saharan African (SSA) region.

Using a sample of 10 countries in SSA over the period 2014 to 2021, the study employed the fixed-effect regression model and the two-step generalized method of moments (GMM) estimator.

The results show that FBFI mitigates commercial banks risk-taking in SSA. But as FBFI progresses, the association takes the shape of an inverted U, increasing risks initially and decreasing them later on. Effective supervision and regulatory quality, in particular, are essential in moderating this relationship by offsetting the adverse consequences of FBFI in its early stages.

First, while our sample is limited to banks in ten SSA countries, future studies could extend the sample size, enabling more explicit generalization of the results. Second, the FBFI–bank risk nexus can be explored further by comparing diverse forms of fintech participation, such as fintech company investment, fintech technology investment, cooperation with specific fintech service providers and cooperation with Internet giants.

Policymakers, banks and fintech companies should collaborate to certify the sustainable utilization of fintech tools to ensure financial inclusion. Policymakers should craft policies that encourage effective supervision and regulatory quality of fintechs since they reduce banks' risk-taking practices, which usually have positive effect on the economy.

The study adds value to the debate on the role of regulation on the FBFI–risk-taking nexus, taking into account countries that are at different levels of development.

Product quality standardization is the solution to market collapses due to quality-insensitive pricing regimes prevalent in West African (WA) rice value chains. However, access to local rice that is differentiated by quality standards is limited. This paper explores feasibility of quality standardization of local rice and evaluates how its price–quality connecting effect depends on retailer characters/reactions.

This study uses panel data from a wholesale randomized control trial (RCT) and three surveys of 135 rice retailers in Ghana.

Improved local food value chains and access to quality differentiated products are impactful entry points for import substitution policies. The strength of interretailer competition, retail infrastructure and wholesaler activities matter for a stronger connection of prices and quality, given uptake of quality-standardized local rice.

Access to quality-differentiated local rice can be increased via private and third-party certification. This addresses the prevailing inefficient pricing and its related problems. The positive impacts of such access would be magnified by designing quality certification interventions to elicit regular-frequent purchases by retailers and target retailers with adequate retail infrastructure in high competition areas. However, this study only explored profitability and opportunities for strategic behavior as the behavioral basis for quality-sensitive pricing. Other impact mechanisms could be explored in further research that includes consumer data.

Despite their difficulty and limited use in value chains studies, RCT and panel data methods are used. This study is the first to empirically analyze feasibility of introducing product standardization, a missing institution in the WA local rice markets.

The purpose of this paper is to study the factors associated with the occurrence of diseases and beriberi among prisoners incarcerated in the two largest Remand and Correctional Facilities (RCF).

This was a cross-sectional descriptive and analytical study carried out from April 20 to May 19, 2017, in the RCFs of Ouagadougou and Bobo-Dioulasso. All prisoners who consulted and those referred to the health center by the health-care team were included in the study. Complaints and diagnosed diseases information were collected using the second version of the International Classification of Primary Care (ICPC-2). The authors used a logistic regression model to perform univariate and multivariate analyses.

Of the 1,004 prisoners from the two RCFs included in the study (32.6%), 966 (96%) were male. The median age was 31.6 years. The distribution of diseases diagnosed using the ICPC-2 showed a predominance of gastrointestinal tract, skin and respiratory tract diseases among 206 (19.3%), 188 (17.6%) and 184 (17.2%) prisoners, respectively. A total of 302 prisoners (30.1%) had clinical beriberi, and 80 prisoners (8%) were underweight. Being incarcerated for more than nine months was independently associated with a high risk of digestive and respiratory diseases as well as beriberi.

This study highlighted higher frequencies of digestive, skin and respiratory complaints and diseases in the two largest detention centers in Burkina Faso. These diseases are variously related to age, penal status and length of incarceration. In addition, underweight and thiamin vitamin deficiency responsible for beriberi are more frequent in adult prisoners, those not attending school, convicted prisoners and those with a length of stay in detention of more than nine months. These concrete results should help define a strategy and priority actions needed to reduce morbidity in prisons.

The actions should include the intervention of specialists in the field of common diseases in prisons, the improvement of individual hygiene conditions and environment, the improvement of the quality and quantity of the food ration, a strategy to reduce prison overcrowding. Other actions must be planned to allow specific groups such as women and minors to have access to health care that is adapted to them. Beyond the central concern of promoting the rights of prisoners and humanizing prisons, actions to improve the health of prisoners are part of an overall public health approach with its socio-economic and environmental implications.

There is a need for a strong commitment from the State to develop a prison health policy that prioritizes the prevention of communicable and non-communicable diseases that are particularly prevalent in this context, without forgetting mental health and nutrition. This requires a collaboration of stakeholders based on better intersectorial communication, the implementation of a monitoring and evaluation system for the health of prisoners, an enhancement of the status of health-care providers working in prisons and an increase in the funding allocated to the health of prisoners with the mobilization of the necessary funds.

This study uses a primary health care classification to assess the health of inmates in a prison in Africa. It contributes to the weak evidence around prison health surveillance and health profiling of prisoners in Africa.

Purpose: Nowadays, many terms like computer vision, deep learning, and machine learning have all been made possible by recent artificial intelligence (AI) advances. As new types of employment have risen significantly, there has been significant growth in adopting AI technology in enterprises. Despite the anticipated benefits of AI adoption, many businesses are still struggling to make progress. This research article focuses on the influence of elements affecting the acceptance procedure of AI in organisations.

Design/Methodology/Approach: To achieve this objective, propose a hierarchical paradigm for the same by developing an Interpretive Structural Modelling (ISM). This paper reveals the barriers obstructing AI adoption in organisations and reflects the contextual association and interaction amongst those barriers by emerging a categorised model using the ISM approach. In the next step, cross-impact matrix multiplication is applied for classification analysis to find dependent, independent and linkages.

Findings: As India is now focusing on the implementation of AI adoption, therefore, it is essential to identify these barriers to AI to conceptualise it systematically. These findings can play a significant role in identifying essential points that affect AI adoption in organisations. Results show that low regulations are the most critical factor and functional as the root cause and further lack of IT infrastructure is the barrier. These two factors require the most attention by the government of India to improve AI adoption.

Implications: This study may be utilised by organisations, academic institutions, Universities, and research scholars to fill the academic gap and faster implementation of AI.

This study examines the temporal trends and determinants of household cooking fuel choices in India. Access to affordable, reliable, clean cooking fuels is crucial for improving household health and mitigating environmental issues. However, a significant portion of the population in developing countries, including India, still relies on traditional solid biomass fuels, leading to adverse health impacts. Using data from India Human Development Survey conducted in 2005 and 2012, this research analyzes changes in fuel choices. It explores the influence of socio-demographic characteristics, education, and accessibility on these choices over time. The findings reveal a gradual transition toward mixed fuel usage but a limited reduction in the use of dirty fuels, indicating the challenges in achieving cleaner cooking practices. Education is a crucial driver of fuel choices, highlighting the need for targeted educational campaigns. Age and household size also play significant roles, with older household heads and larger households exhibiting different fuel preferences. The availability and cost of firewood and kerosene influence fuel choices. The study also suggests developing educational campaigns, improving the availability and affordability of clean cooking fuels, and tailored strategies for larger households. These findings provide guidance for policymakers in promoting the adoption of cleaner cooking fuels and improving household air quality and public health in India.

Appropriate thermal properties of walls can lead to the improvement of the indoor environment of buildings especially in countries with low energy availability such as Burkina Faso. In order to benefit from these advantages, the thermal properties must be properly characterized. This paper investigates the impact of the design of single- and double-layer walls based on compressed Earth blocks (CEB) on the risk of indoor overheating.

First a building has been used as a tool to measure climate data. Then, a software program was used to define an accurate thermal model. Two indices were defined: weighted exceedance hour (WEH) related to the risk of overheating and cyclic thickness (ξ) related to the thermal properties of the walls. The aim is to define the appropriate values of ξ which minimized the WEH. The study also assesses the sensitivity of these thermal properties to occupancy profiles.

The results indicate the arrangements of the thermal properties that can promote comfortable environments. In single-layer wall buildings, ξ = 2.43 and ξ = 3.93 are the most suitable values to minimize WEH for the room occupied during the day and night, respectively. If a double-layer wall is used, ξ = 1.42 and CEB layer inside is the most suitable for the room occupied during the day, while ξ = 2.43 and CEB outside should be preferred in the case of a room with night occupancy profile.

The findings indicate that occupation patterns at room scale should be systematically considered when dealing with wall design in order to improve the thermal comfort.