Advancing renewable fuel integration: A comprehensive response surface methodology approach for internal combustion engine performance and emissions optimization.

In the realm of internal combustion engines, there is a growing utilization of alternative renewable fuels as substitutes for traditional diesel and gasoline. This surge in demand is driven by the imperative to diminish fuel consumption and adhere to stringent regulations concerning engine emissions. Sole reliance on experimental analysis is inadequate to effectively address combustion, performance, and emission issues in engines. Consequently, the integration of engine modelling, grounded in machine learning methodologies and statistical data through the response surface method (RSM), has become increasingly significant for enhanced analytical outcomes. This study aims to explore the contemporary applications of RSM in assessing the feasibility of a wide range of renewable alternative fuels for internal combustion engines. Initially, the study outlines the fundamental principles and procedural steps of RSM, offering readers an introduction to this multifaceted statistical technique. Subsequently, the study delves into a comprehensive examination of the recent applications of alternative renewable fuels, focusing on their impact on combustion, performance, and emissions in the domain of internal combustion engines. Furthermore, the study sheds light on the advantages and limitations of employing RSM, and discusses the potential of combining RSM with other modelling techniques to optimise results. The overarching objective is to provide a thorough insight into the role and efficacy of RSM in the evaluation of renewable alternative fuels, thereby contributing to the ongoing discourse in the field of internal combustion engines.

Drug-related problems identified by pharmacists conducting medication use reviews at a primary health center in Qatar.

BACKGROUND: Medication use review (MUR) is increasingly being recognized globally as a routine strategy performed by pharmacists to optimize the therapeutic outcomes of long-term medications. MUR services are not commonly available in hospitals and primary health care (PHC) centers in Qatar and no previous studies have reported the nature and extent of such services where they exist. OBJECTIVE: To describe the extent and types of drug-related problems (DRPs) generated from MUR interactions conducted at a PHC facility in Qatar and to determine the effect of patient characteristics on the number of DRPs. METHOD: This was a cross-sectional, descriptive and exploratory study. Data were generated and documented prospectively via semi-private interviews conducted by intervention pharmacists (n = 6). DRPs identified were categorized according to the Pharmaceutical Care Network of Europe DRP classification system. RESULTS: In 56 medication reviews conducted, a total of 173 DRPs were identified with an average of 3.3 DRPs per patient. The most commonly encountered DRPs were non-adherence (31 %), need for education (23 %), and adverse drug reactions (21 %). Patients receiving six or more medications had significantly higher number of DRPs compared to those receiving three medications (p ≤ 0.05). Furthermore, elderly patients tended to have more DRPs compared to younger patients and there was a linear relationship between age and DRPs. CONCLUSION: This study shows that patients receiving polypharmacy and the elderly in Qatar are vulnerable to experiencing DRPs, many of which are potentially preventable through MURs.

Pharmacist-documented interventions during the dispensing process in a primary health care facility in Qatar.

OBJECTIVES: To characterize prescribing error interventions documented by pharmacists in four pharmacies in a primary health care service in Qatar. METHODS: The study was conducted in a primary health care service in the State of Qatar in the period from January to March 2008. Pharmacists in four clinics within the service used online, integrated health care software to document all clinical interventions made. Documented information included: patient's age and gender, drug therapy details, the intervention's details, its category, and its outcome. Interventions were categorized according to the Pharmaceutical Care Network Europe Classification of drug-related problems (DRP). RESULTS: The number of patients who had their prescriptions intercepted were 589 (0.71% of the total 82,800 prescriptions received). The intercepted prescriptions generated 890 DRP-related interventions (an average of 1.9% DRPs identified across the four clinics). Fifty-four percent of all interventions were classified as drug choice problems, and 42% had safety problems (dose too high, potential significant interaction). The prescriber accepted the intervention in 53% of all interventions, and the treatment was changed accordingly. Interventions as a result of transcription errors, legality and formulary issues were eliminated from this study through the use of computerized physician order entry (CPOE). CONCLUSIONS: Documenting and analyzing interventions should be a routine activity in pharmacy practice setting in primary health care services. Educational outreach visits and other strategies can improve prescribing practices and enhance patient safety.