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The relentless drive toward miniaturization in microelectronic devices has sparked an urgent need for materials that offer both high thermal conductivity (TC) and excellent electrical insulation. Thermal interface materials (TIMs) possessing these dual attributes are highly sought after for modern electronics, but achieving such a combination has proven to be a formidable challenge. In this study, a cutting‐edge solution is presented by developing boron nitride (BN) and graphite films layered silicone rubber composites with exceptional TC and electrical insulation properties. Through a carefully devised stacking‐cutting method, the high orientation degree of both BN and graphite films is successfully preserved, resulting in an unprecedented through‐plane TC of 23.7 Wm−1 K−1 and a remarkably low compressive modulus of 4.85 MPa. Furthermore, the exceptional properties of composites, including low thermal resistance and high resilience rate, make them a reliable and durable option for various applications. Practical tests demonstrate their outstanding heat dissipation performance, significantly reducing CPU temperatures in a computer cooling system. This research work unveils the possible upper limit of TC in BN‐based TIMs and paves the way for their large‐scale practical implementation, particularly in the thermal management of next‐generation electronic devices. [ABSTRACT FROM AUTHOR]

Background: The accurate and timely completion of patient admission notes is crucial for high-quality patient care and effective communication among healthcare providers. In the Pulmonology ward, where patients with respiratory conditions receive specialized treatment, comprehensive and prompt documentation of admission information is paramount. The complexity of these conditions and potential for acute exacerbations make accurate and timely documentation even more critical for guiding appropriate interventions and ensuring patient safety. Methodology: This uni-disciplinary audit reviewed prospective admission records and associated data for each patient over one month, with a sample size of 75 patients. The initial audit was conducted from June to July 2023 in the Pulmonology ward of Bahawal Victoria Hospital, Quaid-e-Azam Medical College Bahawalpur. Following initial audit recommendations, a proforma on patient admission notes with pre-written variables was created and explained to house officers and postgraduate residents. A subsequent re-audit was conducted from September to October 2023 to compare results with the initial audit. Results: The audit findings indicated a need for improvement in the timeliness of patient attendance and the documentation of initial assessments, vital signs, and treatment plans. The re-audit suggested improvements in patient attendance timeliness and initial assessment with vital sign recordings. However, the treatment chart signatures, and postgraduate resident stamps still needed improvement. Conclusion: Implementing the suggested recommendations can enhance patient care and ensure compliance with established protocols. Regular monitoring and follow-up audits are recommended to evaluate the effectiveness of the changes. [ABSTRACT FROM AUTHOR]

The best‐worst method (BWM) is a multi‐criteria decision‐making (MCDM) approach for solving several types of real‐life decision‐making problems. The basic BWM determines the priority order by pairwise comparisons of the best and worst criteria. The strength of the preference assigned via numerical value for linguistic interpretations of relative comparisons ranges from 1 to 9, representing preferences among the criterion. However, the amount of strength is entirely dependent on the choice of the decision‐makers. Though expert's opinions may differ due to various reasons such as incomplete information, lack of knowledge, ambiguity in linguistic terms, and so forth. Therefore, it is highly likely that the expert may provide multiple viewpoints for the preferences values. Thus, this study proposes a novel extension of the BWM named the multi‐choice best‐worst method (MCBWM), dealing with the concept of multiple choices of preference relations to compare the criterion. The MCBWM overcomes the limitation of BWM, where the pairwise preferences in the comparisons are multi‐choice parameters rather than single parametric values. Multiple real‐world MCDM applications are illustrated in experimental studies to show the quality, performance, and applicability of our proposed MCBWM. A detailed comparative analysis of the proposed approach has been done with the well‐known existing decision‐making techniques and their optimal results are compared. The proposed method offers a new direction for the MCDM approaches for solving real‐life problems. [ABSTRACT FROM AUTHOR]