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Go to Editorial ManagerThe introduction of Artificial Intelligence (AI) in medical care is becoming an acknowledged challenge in the framework of engineering systems, in which the level of computational readiness, the integration of the infrastructure, the level of user competence, and the limitations of the ethical aspect play a role. The paper analyzes the most important engineering predictors of a readiness to use AI in Indian hospitals, which are assessed using correlation and multiple linear regression frameworks._x000D_ There was a structured survey on 120 healthcare workers and 20 deep interviews with experts to evaluate system-level perceptions and institutional preparedness. The results of regression showed that the model is well fitted (R 2 = 0.61, p < 0.001) with Perceived Usefulness (= 0.43), Infrastructure Availability (= 0.38) and AI Training Exposure ( = 0.26) identified as significant and positive predictors of AI adoption readiness. The Ethical Concern Scores (β = -0.32) had a significant negative impact, highlighting the importance of governance as an important constraint of the system._x000D_ These findings were reinforced by qualitative thematic analysis, which identified interoperability challenges, lack of computational training, data governance oversights, and infrastructure vulnerability as significant engineering limitations. The respondents positively indicated the conditional acceptance of AI on the basis of the explainable model transparency, as well as the system of institutional AI training._x000D_ The research adds a new regression-tested engineering preparedness pathway to AI implementation in Low- and Middle-Income Country (LMIC) hospital setting, suggesting system interface, capacity formation, and ethical algorithm control as the main keystones on the sustainable AI implementation in Indian healthcare.
In recent decades, Iraq has witnessed several military operations. This has led to huge damages to the infrastructure of some main cities. The traditional construction methods seem not to be able to fulfill the rapid reconstruction works needed, while prefabricated building systems seem to be promising. This paper aims at evaluating the possibilities of using prefabrication systems for schools building as a pilot study for wider adoption. An extensive literature review was carried out to identify the features of construction prefabrication and its requirements. Then a thorough investigation of the possibilities of adopting this approach in Iraq and the major expected obstacles was carried out. A questionnaire survey has been conducted with (96) stakeholders who have experience in prefabricated building projects. The results showed that the highest rating of benefits went to time and productivity, while the highest rating of obstacles went to lack of government support. Therefore the top proposed action included the adoption of a clear governmental strategy for change. Finally, the respondents agreed that school building is the most suitable type of projects to start with.
Primary healthcare institutions are highly important socio-technical systems, where infrastructure, digital technologies, and service delivery processes collaborate to establish service resilience and performance. Digital systems and sustainable infrastructure may not be integrated as well in a limited environment with resources, which may lead to reduced system robustness and efficiency. This paper is a systematic digital systems and infrastructure evaluation of the process of providing primary healthcare in Paschim Bardhaman District, India, through an engineering-based, multi-criteria analysis framework._x000D_ Cross-sectional engineering analysis was carried out on 25 Primary Health Centers (PHCs) chosen based on the rural and semi-urban settings. They have developed a composite system performance index by incorporating five domains of engineering, namely infrastructure robustness, operational workflow efficiency, outcome performance, digital systems readiness (ICT), and environmental sustainability systems. Information was gathered based on formal auditing of facilities, check of readiness of ICT equipment and software, field observation of operations and review of documents. Domain-specific scores were also summed up to create a Composite Quality and Resilience Index (CQRI). Statistical analyses were made to provide measures of description, correlation analysis and comparative testing between rural and semi-urban facilities._x000D_ Findings showed that there was moderate system performance (mean CQRI = 1.21 ± 0.24) and there was high inter-facility difference. The positive correlation of infrastructure robustness and the efficiency of operational workflow were found to be strong with composite system performance (r = 0.67 and r = 0.74, respectively). The readiness to digital systems, and environmental sustainability scored relatively low, which points out to the underutilization of ICT infrastructure, lack of telemedicine adoption, and the integration of renewable energy sources. The composite performance of semi-urban PHCs was much better than that of rural facilities (p < 0.05), which highlights the importance of infrastructure accessibility and digital connectivity to system resilience._x000D_ The results show that integration of digital systems and infrastructure design that is sustainable are important engineering determinants of resilient primary healthcare delivery. The suggested composite assessment framework can be used as a scalable engineering-based tool to estimate and optimize the performance of low-resource healthcare infrastructure in supporting the resilience of the system and its long-term sustainability and efficiency in delivering the services.
The present work demonstrates the optimization process of Micro- hole of Electrical Discharge Machining (EDM) by Adaptive Neuro Fuzzy Inference System (ANFIS). The workpiece material was copper alloy. The current, gap distance and pulse on time were the control parameters of EDM. The process has been successfully modeled using ANFIS model constructs a fuzzy inference system in MATLAB 7.2 Software Gaussian type for optimization of micro diameter, were adopted during the training and testing process of ANFIS model in order to compare the prediction accuracy of micro diameter by one membership function. Finally, the comparison of ANFIS results with experimental data indicates that adoption of Gaussian membership function in proposed system achieved satisfactory accuracy. Prediction using ANFIS model compared with experimental values of micro holes at correspond ratio 98.37%.
Architecture represented a product of successive stages with integrated interconnected rings that seek to build architectural thought. While the beginning of an output is related to a need decision, it is achieved by accepting a certain idea. The idea, however, is related to the act, in giving output that is the result of a particular principle in the construction and installation of architecture. Thus their development according to the needs of society.Thus, a number of influences play an active role in the nature of the acceptability of the (architectural) output, especially in relation to the projection of that thought on the architectural output. In addition, the conformity of the acceptability of this output to the recipient, through the emergence of needs that motivate the designer to use the vocabulary building (may be local) familiar to the recipient, from the simplification of meanings in architecture and make them more familiar and closer to the recipient to satisfy the need of them. The accepted product is associated with the personality of the architect. The more mature his thinking and the greater his potential in innovation and research, the greater his acceptance. In the impact of output on the receiver, related to what happens in the design process, and the type of thought that the designer can access and employ in the production. As opposed to extinguishing the need of a user and receiver.It is, therefore, Has given building effect of the design act, t To reach a product that is thoughtfully acceptable, by skipping the deficit with multiple admissions.In contrast to the influence of thought on the composition of the product.And both of them, and by the adoption of the tools of man's superficial and internal and spiritual acceptance of the acceptance of the product of architecture.