Search · four archives
Search · four archives
22 papers · ranked by Valyu relevance
Kaveh Shahedi, Nana Gyambrah, Heng Li, Maxime Lamothe + 2 more
Performance is a critical quality attribute in software development, yet the impact of method-level code changes on performance evolution remains poorly understood. While developers often make intuitive assumptions about which types of modifications are likely to cause performance regressions or improvements, these…
Vivek Basavegowda Ramu
- PerfDetectiveAI, a conceptual framework for performance gap analysis and suggestion in software applications is introduced in this research. For software developers, retaining a competitive edge and providing exceptional user experiences depend on maximizing application speed. But investigating cutting-edge…
Sam McIntosh, Stephanie Kovalchik, Sam Robertson
This study aimed to develop a model to objectively benchmark professional Australian Rules football (AF) player performance based on age, experience, positional role and both draft type and round in the Australian Football League (AFL). The secondary aims were to identify the stage of peak performance and specific…
Tomáš Kalibera, Richard Jones
Measuring performance and quantifying a performance change are core evaluation techniques in programming language and systems research. Out of 122 recent scientific papers published at PLDI, ASPLOS, ISMM, TOPLAS, and TACO, as many as 65 included experimental evaluation that quantified a performance change using a ratio…
Tjorven Hinzke, Benoit J. Kunath, J. Alfredo Blakeley-Ruiz, Abigail Korenek + 3 more
Metaproteomics characterizes and compares molecular phenotypes of organisms in communities by comprehensively analyzing their protein expression profiles using statistical methods. However, not all statistical methods are suitable for determining differentially abundant protein groups in metaproteomic analyses.…
Chen Liu, Rongfang Zhou, Yanqiu Zhou, Anzhi Lu + 6 more
BGISEQ-500 is based on DNBSEQ™ technology and superior in providing high outputs and requiring less cost. This sequencer has been widely used in various areas of scientific and clinical research. A better understanding of the sequencing process and sequencer performance is essential for stabilizing sequencing process…
Authors not listed
Background: Pharmaceutical batch scheduling in multi-reactor configurations presents complex optimization challenges under operational uncertainty, yet limited research addresses how parallel processing capacity affects heuristic performance and predictive modeling. Objectives: This study investigated scheduling…
Roberto C.M. Leite, Rhaí A. Arriel, Rodney Paixão, Leandro Sant’Ana + 1 more
Statistical inference underpins the credibility of sports science research, yet concerns remain regarding the rigor of statistical reporting and analysis. This study assessed the adequacy of statistical practices in sports science research according to established methodological guidelines. A total of 167 original…
Theo Desachy, Marc Thevenet, Samuel Garcia, Anistasha Lightning + 3 more
Studies with low statistical power reduce the probability of detecting true effects and often lead to overestimated effect sizes, undermining the reproducibility of scientific results. While several free statistical software tools are available for calculating statistical power, they often do not account for the…
Panagiotis Giannakopoulos, Bart van Knippenberg, Kishor Chandra Joshi, Nicola Calabretta + 1 more
'Nicola Calabretta' 'George Exarchakos'] Edge computing is an emerging approach that enables applications to run closer to users, accommodating their specific execution time requirements. Edge computing systems typically consist of heterogeneous processing and networking components, resulting in inconsistent task…
Authors not listed
We developed OpenStats, a user-friendly web application that brings the power of the R language to researchers through a high-level interface and broad support for statistical methods such as t-tests and ANOVA. OpenStats was integrated into our electronic lab notebook Chemotion ELN via its third-party API, enabling…
Mingze Bai, Jingwen Deng, Chengxin Dai, Julianus Pfeuffer + 1 more
Testing for significant differences in quantities on protein level is a common goal of many LFQ-based mass spectrometry proteomics experiments. Starting from a table of protein and/or peptide quantities from a fixed proteomics quantification software, there exists a multitude of tools and R packages to perform the…
Mohamed Bilel Besbes, Diego Elias Costa, Suhaib Mujahid, Gregory Mierzwinski + 1 more
'Gregory Mierzwinski' 'Marco Castelluccio'] Performance regressions in software systems can lead to significant financial losses and degraded user satisfaction, making their early detection and mitigation critical. Despite the importance of practices that capture performance regressions early, there is a lack of…
Authors not listed
Accurate and efficient calculation of alchemical free energies is a critical challenge in computational chemistry, frequently hindered by the inherent limitations of conventional Thermodynamic Integration (TI) methods. These limitations include poor phasespace overlap between discrete alchemical states, inefficient…
Authors not listed
Incorporating prior domain knowledge into Bayesian optimization (BO) remains difficult for statistical methods, which also typically suffer from limited interpretability. Large language models (LLMs) offer complementary strengths in reasoning and knowledge integration, but it remains unclear when and how they improve…
María Costa-Pallaruelo, Álvaro García-Osuna, Marina Canyelles, Cecília Martínez-Bru + 4 more
Title: Graphical abstract
Marc Brysbaert, Dries Debeer
This tutorial provides guidelines for conducting linear mixed effects (LME) analyses for simple designs, aimed at researchers familiar with t-tests, analysis of variance (ANOVA) and linear regression. First, we compare LME analyses with traditional methods when participants are the only source of random variation. We…
Michelle Frankot, Peyton M. Mueller, Michael E. Young, Cole Vonder Haar
Statistical errors in preclinical science are a barrier to reproducibility and translation. For instance, linear models (e.g., ANOVA, linear regression) may be misapplied to data that violate assumptions. In behavioral neuroscience and psychopharmacology, linear models are frequently applied to interdependent or…
Authors not listed
Mechanical agitation (stirring) is a cornerstone of organic synthesis, but has received little scientific attention due to its “obvious” role in facilitating reactions. A very recent study by Huang and coworkers compared the isolated yields in approximately 600 paired stirred and unstirred reactions, across a range of…
Sten Westgard, Hassan Bayat
Title: Graphical abstract
Ozan Vardal, Theodoros Karapanagiotidis, Tom Stafford, Anders Drachen + 1 more
When humans perform repetitive tasks over long periods, their performance is not constant. People may drift in and out of states that might be loosely categorised as engagement, disengagement or ‘flow’ and these will be reflected in multiple aspects of their performance (for example, reaction time, accuracy, criteria…
Michael J. Crosse, John J. Foxe, Sophie Molholm
Statistical hypothesis testing and effect size measurement are routine parts of quantitative research. Advancements in computer processing power have greatly improved the capability of statistical inference through the availability of resampling methods. However, many of the statistical practices used today are based…