Explore the vast range of titles available.

BackgroundWhile first-pass effect (FPE) is an increasingly used benchmark in endovascular thrombectomy (EVT), overall procedural efficiency is influenced by multiple factors, including time between thrombectomy passes. It remains unclear whether the importance of FPE is maintained when a therapy can provide multiple passes in a short time with adequate safety. Prolonged inter-pass time may contribute to ongoing ischemic injury, procedural inefficiencies, and worse clinical outcomes and may be fundamental to the observed correlation of FPE with outcome. This study evaluates the impact of inter-pass time on procedural and functional outcomes in EVT, comparing aspiration-first versus stent retriever thrombectomy techniques.MethodsWe conducted a retrospective cohort study of consecutive EVT cases for large vessel occlusion (LVO) stroke at our institution from 2013 to 2025. Prospective adjudicated data from the COMPASS randomized trial was analyzed for external validation. Patients treated with aspiration-first (ADAPT) or stent retriever (SR) as the initial technique were included, and patients with tandem occlusion, ICAD or those who required more than 3 passes to achieve recanalization were excluded. Procedural time metrics, including first-pass effect (TICI 3 after one pass), inter-pass time, groin-to-recanalization time, and number of passes were assessed. The primary outcome was 90-day functional independence (modified Rankin Scale [mRS] 0–2). Secondary outcomes included successful reperfusion (TICI ≥2b), symptomatic intracerebral hemorrhage (sICH), and mortality. Multivariable logistic regression was performed to evaluate independent associations.ResultsA total of 1,280 EVT patients were analyzed (795 ADAPT, 280 SR). Patients treated with ADAPT had significantly shorter inter-pass times (mean: 13 vs. 23 min, p = 0.006) and groin-to-final recanalization times (31vs. 49 min, p = 0.01) compared to SR. FPE was higher with ADAPT (38.1% vs. 30.7%, p = 0.007). In multivariable analysis, longer inter-pass time was associated with lower odds of 90-day functional independence (OR: 0.33, 95% CI: 0.12–0.89, p = 0.026), independent of FPE or total procedural time. Similarly, in COMPASS trial, ADAPT arm had faster inter-pass time, shorter procedure time compared to SR time.ConclusionsMinimizing inter-pass time is a critical but underrecognized factor in optimizing EVT efficiency and outcomes. Shorter inter-pass times were independently associated with improved functional outcomes. ADAPT was associated with both shorter inter-pass times and superior procedural efficiency, potentially contributing to better patient outcomes. Future studies should report inter-pass time as a procedural metric as it is a major contributor to successful recanalization time and may impact the relevance of FPE.Abstract O-004 Figure 1Time between passes seen in sinai dataset[Figure omitted. See PDF]Abstract O-004 Figure 2Time between passes seen in COMPASS cohort[Figure omitted. See PDF]DisclosuresA. Mehta: None. D. Goldman: None. P. Reddi: None. R. DeLeacy: None. J. Fifi: None. J. Mocco: None. S. Majidi: None.

Data envelopment analysis (DEA) is a powerful approach for evaluating the relative efficiency of decision-making units with multiple inputs and outputs. Integrating DEA with ratio analysis has become essential because of the increasing prevalence of ratio data (e.g., return on assets) in practical applications. This study develops a novel DEA-R model and the RAM-R model, which combines the well-established range-adjusted measure (RAM) with ratio analysis. The model effectively handles ratio data, accommodates negative values, and accounts large variations across indicators, thereby enhancing flexibility and robustness in efficiency evaluation. A case study of 93 Japanese banks compares the RAM-R model with the RAM and another slacks-based DEA-R (the slacks-based measure-R and SBM-R) models using ratio data to demonstrate its effectiveness in evaluating efficiency.

\"Being \"good at reading\" isn't just about speed--it's about being able to read through information, quickly sort out what's important, and draw accurate connections. That's why we at The Princeton Review created Reading Smart, a book designed to help people who have a hard time keeping up with assignments, understanding novels, or even absorbing news articles. Reading Smart will give you the skills and strategies you need to read efficiently, comprehend different kinds and levels of writing, and build your confidence as both a reader and thinker.\"--Back cover.

Filter-based spectral systems are highly competitive due to their compactness, simplicity, and well-defined spectral characteristics. However, their primary drawback remains low detection efficiency. This work explores various strategies to enhance detection efficiency. While an additional row of beamsplitters can significantly improve illumination, alternative folded beam path designs—eliminating the need for beamsplitters—prove to be far more effective. Additionally, a novel approach utilizing a freeform mirror is introduced, enabling differential adjustment of detection efficiency across different spectral regions. For the first time, a comprehensive comparison of these strategies is presented.

PurposeThis study introduces the Eye Bank Efficiency Index (EBEI), a novel metric designed to assess the operational performance of Eye Banks (EBs). The EBEI is defined as the ratio between the number of corneal tissues distributed over a given timeframe and the net number of usable tissues, calculated by subtracting discarded tissues from those procured.MethodsTo evaluate the usefulness of the EBEI compared to conventional indicators, data from the Veneto Eye Bank Foundation (Venice, Italy)—the country’s largest EB—were analyzed. Key data points included the total number of corneas retrieved, grafts discarded, and tissues distributed. The analysis was conducted across three distinct time intervals: the full calendar year (January–December), the national lockdown period (March–May), and the post-lockdown period (June–December).ResultsThe EBEI showed a notable annual increase of 3.4% in 2020 compared to 2019 (rising from 0.986 to 1.020), before declining to 0.993 by 2022. During the 2020 lockdown months, the index dropped sharply by 13.8% relative to the same period in the previous year. In contrast, EBEI fluctuations during the post-lockdown months were relatively modest in 2020 and 2021, though the index hit a low of 0.976 in 2022, representing a 7.8% decrease from 2019.ConclusionThe Eye Bank Efficiency Index offers a straightforward and robust tool for quantifying Eye Bank performance. Its broader implementation may lead to more precise evaluations of EB operations, supporting decisions in academic research, policy-making, and resource management.

The greatest challenge that people and companies face isn't from the competition, the marketplace or anything else out there. It is from confusion within organizations. Simplicity, outlined here, is the disciplined use of one skill and one tool.

Generally, the study assessed the effect of E-tendering on procurement function efficiency in public sector organizations. The study was conducted in Morogoro municipality where a total of five public organizations were selected for the study. The population consisted of 147 PMU, finance and ICT personnel from the selected organizations of which 108 were sampled. Data was collected though a questionnaire since the study adopted a quantitative approach. The data were analyzed through descriptive analysis as well as multiple regressions analysis to establish a causal relationship between independent and dependent variables. According to the findings of the study, it was revealed that e-tendering has significant effect on the procurement function efficiency Therefore; the study recommends that other studies to focus on other electronic tools in procurement and go beyond the effect of e-tendering on procurement efficiency. Also policies can be made in both public and private sector to enhance the use of e-tendering for better procurement function efficiency.