Whether an educational institution develops or not depends on its performance. To improve this performance, many things are done, including how leaders help improve institutional performance in ...developing competitiveness, one of which is through benchmarking. From this, researchers want to know whether there is a relationship between benchmarking and institutional performance. This research aims to determine the relationship between benchmarking and performance at one State Madrasah Aliyah in East Java. The research method used in this research is a quantitative approach. The data collection method uses a Likert scale. The population and sample use a saturated sample technique or a total sample with 35 respondents. The data analysis technique uses Product Moment correlation. This research shows a relationship between benchmarking and institutional performance with evidence of a product-moment correlation value of 0.430 with a significance value of 0.010 (p < 0.05), which means that Ha is accepted and Ho is rejected. This research provides implications for benchmarking and institutional performance in competitiveness development.
A potentially organizing goal of the brain and cognitive sciences is to accurately explain domains of human intelligence as executable, neurally mechanistic models. Years of research have led to ...models that capture experimental results in individual behavioral tasks and individual brain regions. We here advocate for taking the next step: integrating experimental results from many laboratories into suites of benchmarks that, when considered together, push mechanistic models toward explaining entire domains of intelligence, such as vision, language, and motor control. Given recent successes of neurally mechanistic models and the surging availability of neural, anatomical, and behavioral data, we believe that now is the time to create integrative benchmarking platforms that incentivize ambitious, unified models. This perspective discusses the advantages and the challenges of this approach and proposes specific steps to achieve this goal in the domain of visual intelligence with the case study of an integrative benchmarking platform called Brain-Score.
Schrimpf et al. advocate for integrating brain data in the form of benchmarks across labs via a platform called Brain-Score to advance the development of unified, neurally mechanistic models that explain entire domains of human intelligence such as vision.
One of the main challenges in metagenomics is the identification of microorganisms in clinical and environmental samples. While an extensive and heterogeneous set of computational tools is available ...to classify microorganisms using whole-genome shotgun sequencing data, comprehensive comparisons of these methods are limited.
In this study, we use the largest-to-date set of laboratory-generated and simulated controls across 846 species to evaluate the performance of 11 metagenomic classifiers. Tools were characterized on the basis of their ability to identify taxa at the genus, species, and strain levels, quantify relative abundances of taxa, and classify individual reads to the species level. Strikingly, the number of species identified by the 11 tools can differ by over three orders of magnitude on the same datasets. Various strategies can ameliorate taxonomic misclassification, including abundance filtering, ensemble approaches, and tool intersection. Nevertheless, these strategies were often insufficient to completely eliminate false positives from environmental samples, which are especially important where they concern medically relevant species. Overall, pairing tools with different classification strategies (k-mer, alignment, marker) can combine their respective advantages.
This study provides positive and negative controls, titrated standards, and a guide for selecting tools for metagenomic analyses by comparing ranges of precision, accuracy, and recall. We show that proper experimental design and analysis parameters can reduce false positives, provide greater resolution of species in complex metagenomic samples, and improve the interpretation of results.
ABSTRACT
We propose a pairwise measure of financial statement benchmarking (FSB) that captures the degree of overlap in the financial statement line items reported by two firms. We validate FSB by ...showing its association with actual peer choices of analysts and corporate boards. We then test the practical implications of FSB in the context of strategic peer selection by these parties. We find that analyst (board) chosen peers with low pairwise FSB are more likely to be strategic selections and that the set of peers assembled by an analyst (board) collectively having low FSB is associated with more optimistic earnings forecasts (higher CEO overpay). We also demonstrate alternative applications of FSB by aggregating the pairwise measure at the firm level and decomposing it into finer financial statement-specific components. Our evidence suggests that FSB can be a relevant tool for those using benchmarking applications, including practitioners and academics.
Data Availability: Data are available from sources identified in the paper.
JEL Classifications: M41.
Objective: State-of-the-art techniques for surgical data analysis report promising results for automated skill assessment and action recognition. The contributions of many of these techniques, ...however, are limited to study-specific data and validation metrics, making assessment of progress across the field extremely challenging. Methods: In this paper, we address two major problems for surgical data analysis: First, lack of uniform-shared datasets and benchmarks, and second, lack of consistent validation processes. We address the former by presenting the JHU-ISI Gesture and Skill Assessment Working Set (JIGSAWS), a public dataset that we have created to support comparative research benchmarking. JIGSAWS contains synchronized video and kinematic data from multiple performances of robotic surgical tasks by operators of varying skill. We address the latter by presenting a well-documented evaluation methodology and reporting results for six techniques for automated segmentation and classification of time-series data on JIGSAWS. These techniques comprise four temporal approaches for joint segmentation and classification: hidden Markov model, sparse hidden Markov model (HMM), Markov semi-Markov conditional random field, and skip-chain conditional random field; and two feature-based ones that aim to classify fixed segments: bag of spatiotemporal features and linear dynamical systems. Results: Most methods recognize gesture activities with approximately 80% overall accuracy under both leave-one-super-trial-out and leave-one-user-out cross-validation settings. Conclusion: Current methods show promising results on this shared dataset, but room for significant progress remains, particularly for consistent prediction of gesture activities across different surgeons. Significance: The results reported in this paper provide the first systematic and uniform evaluation of surgical activity recognition techniques on the benchmark database.
Here, we present a major advance of the OrthoFinder method. This extends OrthoFinder's high accuracy orthogroup inference to provide phylogenetic inference of orthologs, rooted gene trees, gene ...duplication events, the rooted species tree, and comparative genomics statistics. Each output is benchmarked on appropriate real or simulated datasets, and where comparable methods exist, OrthoFinder is equivalent to or outperforms these methods. Furthermore, OrthoFinder is the most accurate ortholog inference method on the Quest for Orthologs benchmark test. Finally, OrthoFinder's comprehensive phylogenetic analysis is achieved with equivalent speed and scalability to the fastest, score-based heuristic methods. OrthoFinder is available at https://github.com/davidemms/OrthoFinder.
HIV transmission network analysis plays a significant role in the precise prevention and control of AIDS. The current studies inferred the HIV transmission networks mainly based on the social network ...methods and molecular network methods and interpret the structural characteristics using individual-level and network-level metrics. To provide references for further researches, we summarized the principles, advantages or disadvantages, and application of HIV transmission network analysis methods and metrics in this paper.
This article gives a short summary of standardized documentation for pediatric diabetology from a European perspective. The approach chosen by the Austrian/German DPV (Diabetes Patienten ...Verlaufsdokumentation) group is detailed. The electronic health record used is briefly described, as are external benchmarking reports and national and international comparisons. Similar initiatives like the Hvidore study group, the SWEET initiative (Pediatric Diabetes: Working to Create Centers of Reference in Europe), and the T1DExchange (Type 1 Diabetes Exchange Registry) are compared to the DPV effort.
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