24 papers · ranked by Valyu relevance
Miguel-Angel Gomez-Ruano, Sergio José Ibáñez, Anthony S. Leicht
Performance analysis is a sub-discipline of Sport Science research (Borms, [2]) that has attained great interest for many stakeholders (i.e., coaches, technical staff, performance analysts, managers, media, fans, and players) at different levels of performance (i.e., youth, semi-professional, or professional players).…
Julian Kunkel, Eugen Betke, Matt Bryson, Philip Carns + 4 more
'Rosemary Francis' 'Wolfgang Frings' 'Roland Laifer' 'Sandra Méndez'] > Abstract. Parallel application I/O performance often does not meet user expectations. Additionally, slight access pattern modifications may lead to significant changes in performance due to complex interactions between hardware and software. These…
Tomáš Fiedor, Jiří Pavela, Adam Rogalewicz, Tomáš Vojnar
—In this paper, we present PERUN: an open-source tool suite for profiling-based performance analysis. At its core, PERUN maintains links between project versions and the corresponding stored performance profiles, which are then leveraged for automated detection of performance changes in new project versions. The PERUN…
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…
Mikaela J. Callinan, Jonathan D. Connor, Wade H. Sinclair, Anthony S. Leicht + 1 more
'Anthony S. Leicht' 'Ender Senel'] Professional coaches commonly rely on performance analysis and metrics to help make decisions regarding their practices, selection and tactics. However, few studies to date have explored coaches’ perspectives of performance analysts successful integration into the high-performance…
Onur Cankur, Aditya Tomar, Daniel Nichols, Connor Scully-Allison + 2 more
'Katherine E. Isaacs' 'Abhinav Bhatelé'] A variety of performance measurement tools exist, including profilers and tracing tools that can generate performance data [1, 7, 17, 28]. However, the data generated can be extremely large, making it challenging to sift through this data to identify performance issues. Several…
Sixto González-Víllora, Jaime Serra-Olivares, Juan Carlos Pastor-Vicedo, Israel Teoldo da Costa
'Juan Carlos Pastor-Vicedo' 'Israel Teoldo da Costa'] For sports assessment to be comprehensive, it must address all variables of sports development, such as psychological, social-emotional, physical and physiological, technical and tactical. Tactical assessment has been a neglected variable until the 1980s or 1990s.…
Rafael Martínez-Gómez, Pedro L. Valenzuela, Lidia B. Alejo, Jaime Gil-Cabrera + 5 more
The aim of this study was to determine which physiological variables could predict performance during a CrossFit competition. Fifteen male CrossFit athletes (35 ± 9 years) participated and performed a series of tests (incremental load test for full squat and bench press, jump tests, incremental running test, and…
Zehao Wang, Dong Jae Kim, Tse-Hsun Chen
through Code Analysis with LLM Agents Authors: ['Zehao Wang' 'Dong Jae Kim' 'Tse-Hsun Chen'] Configuration settings are essential for tailoring software behavior to meet specific performance requirements. However, incorrect configurations are widespread, and identifying those that impact system performance is…
Raja Appuswamy, Jacques Fellay, Nimisha Chaturvedi
Rapid advances in sequencing technologies are producing genomic data on an unprecedented scale. The first, and often one of the most time consuming, step of genomic data analysis is sequence alignment, where sequenced reads must be aligned to a reference genome. Several years of research on alignment algorithms has led…
Authors not listed
Investigating the molecular structure of soil organic matter (SOM), along with its intramolecular interactions and interactions with other soil components and xenobiotics, is essential due to its ecological importance. However, the complexity and heterogeneity of SOM present significant challenges for systematic…
Shaun D'Souza
The web ecosystem is rapidly evolving with changing business and functional models. Cloud platforms are available in a SaaS, PaaS and IaaS model designed around commoditized Linux based servers. 10 billion users will be online and accessing the web and its various content. The industry has seen a convergence around IP…
Quanchen Liu, Zhuhang Huang, Diogo Coutinho, Xiaobin Wei + 3 more
'Bruno Gonçalves' 'Angelo Maria Sabatini'] This study aimed to explore how positional performance varies across different youth age groups and during matches in football competitions. The study encompassed 160 male outfield youth football players (n = 80, under-13, U13; n = 80, under-15, U15) who belonged to the…
Alexander L. R. Lubbock, Carlos F. Lopez
Computational systems biology analyses typically make use of multiple software and their dependencies, which often run across heterogeneous compute environments. This can introduce differences in performance and reproducibility. Capturing metadata (e.g. package versions, GPU model) currently requires repetitious code…
Bruno M. Saraiva, Inês M. Cunha, António D. Brito, Gautier Follain + 5 more
To overcome the challenges posed by large and complex microscopy datasets, we have developed NanoPyx, an adaptive bioimage analysis framework designed for high-speed processing. At the core of NanoPyx is the Liquid Engine, an agent-based machine-learning system that predicts acceleration strategies for image analysis…
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…
Lucylynn Lizarondo, Karen Grimmer, Saravana Kumar
Background Performance evaluation raises several challenges to allied health practitioners and there is no agreed approach to measuring or monitoring allied health service performance. The aim of this review was to examine the literature on performance evaluation in healthcare to assist in the establishment of a…
Authors not listed
During early-stage biotherapeutic development, analytical methods play an important role in candidate screening, process development, formulation screening and stability determination. However, developing sensitive and robust analytical methods is challenging in the early stages as there is often insufficient product…
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…
Authors not listed
In molecular machine learning, the choice of the representation of molecules can have a significant impact on model performance. However, understanding the root causes of these performance differences often proves challenging. One promising approach to explore model behavior is representational alignment, which…
Authors not listed
This paper presents an empirical comparison of process control algorithms, with particular emphasis on classical Proportional–Integral–Derivative (PID) control, Model Predictive Control (MPC), and neural network-based methods in the context of complex industrial plants. Since industrial sectors frequently demand…
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…
Authors not listed
Background: Pharmaceutical batch production faces significant scheduling challenges due to operational uncertainties including equipment failures, yield variability, and demand fluctuations. While scheduling heuristics are widely used in practice, their comparative performance under varying uncertainty conditions…
Albert Smit, Jip van Ewijk, Ina Janssen, Thomas W.J. Janssen + 1 more
Tandem cycling requires a coordinated effort between the pilot and the stoker. Previous research suggests that randomly paired tandem cyclists produce lower power output than when cycling solo. This study examined how a cyclist’s individual ability and their position on the tandem (pilot or stoker) affects pair…