Article
Chemistry, Multidisciplinary
Chihang Wei, Chenglin Wen, Jieguang He, Zhihuan Song
Summary: In this paper, a Data-Dependent Kernel Discriminant Analysis (DK-K-2-DA) model is proposed for visual process monitoring. The model provides more easily comprehensible information about the process operating status and faults occurrence path. It uses a special data-dependent kernel function learned from measured data to guarantee low-dimensional visualizations. The new optimization method combines discriminative information and t-distributed geometric similarities. Experimental results on simulated and real-life industrial processes demonstrate the merits of the proposed method.
Article
Biochemistry & Molecular Biology
Giscard Lima, Alexander Kolliari-Turner, Fernanda Rossell Malinsky, Fergus M. Guppy, Renan Paulo Martin, Guan Wang, Sven Christian Voss, Costas Georgakopoulos, Paolo Borrione, Fabio Pigozzi, Yannis Pitsiladis
Summary: The study showed that whole blood in long-term and short-term storage without RNA preservation can still be used for gene expression analysis, indicating that transcriptomic analysis of anti-doping samples collected or biobanked without RNA preservation is feasible.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2021)
Article
Management
Peter Ebbes, Oded Netzer
Summary: This paper demonstrates how a social network platform can use user data to identify potential job seekers and predict their job seeking status and associated platform activities using a hidden Markov model. The proposed approach leads to a significant increase in profits for targeting campaigns.
MANAGEMENT SCIENCE
(2022)
Article
Chemistry, Physical
Jun Zhou, Zi Yu Pan, Hui Liu, Peng Fei Gao, Cheng Zhi Huang
Summary: This study developed a high-throughput resonance scattering imaging method using dark-field microscopy to monitor the reaction activity of gold nanorods. By introducing data analytics, real-time monitoring of the reaction activity of gold nanorods was achieved, allowing for the study of both global and local reaction processes.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2021)
Article
Economics
Zhen Wang, Chunhui Yuan, Xiaolong Li
Summary: This study examines the impact of big data on platform performance using a multidimensional perspective and the fuzzy set qualitative comparative analysis method. The research identifies two paths for platforms to improve performance through big data: volume-centric configuration and volume-talent synergistic configuration. The results show that the volume and talent of big data are crucial factors affecting platform performance, but increasing these factors does not always lead to performance improvement. The study makes significant contributions by identifying high-performing big data configurations and illustrating the complex causality between multidimensional big data resources and their supporting conditions.
MANAGERIAL AND DECISION ECONOMICS
(2023)
Article
Environmental Sciences
Yuan Liu, Shengjie Zhao, Fengxia Han, Mengqiu Chai, Hao Jiang, Hongming Zhang
Summary: This paper explores the fusion of unmanned aerial vehicles (UAVs) and dual-functional radar-communication (DFRC) system for assisting data acquisition in the ocean surveillance scenario. By jointly optimizing the UAV's location and buoy's transmit power, the system throughput and target localization performance can be improved simultaneously. Simulation results demonstrate that the proposed algorithm achieves superior performance in balancing the system throughput and target localization.
Article
Mathematics, Interdisciplinary Applications
Yingzi Wang, Ce Yu, Jue Hou, Yongjia Zhang, Xiangyi Fang, Shuyue Wu
Summary: This paper provides a detailed analysis of quality management issues in big data for automotive application scenarios. It proposes a generalized model and framework for managing data quality, as well as detection and repair interfaces. Experimentally validated algorithms are shown to improve efficiency and accuracy in handling data quality.
Article
Biochemical Research Methods
Fredrik Lauritzen, Geir Holden
Summary: Anti-doping organisations aim to detect, deter and prevent doping in sport. However, direct detection of prohibited substances from athletes' biological samples has been criticized for its lack of efficiency. This study evaluates 17 years of doping test statistics and violations, revealing that most violations were committed by male athletes in ball and team or strength sports at national or recreational levels. Target testing capability and an intelligence-led approach in planning doping tests are recommended to improve anti-doping efforts.
DRUG TESTING AND ANALYSIS
(2023)
Article
Computer Science, Information Systems
Iris Figalist, Christoph Elsner, Jan Bosch, Helena Holmstrom Olsson
Summary: This study investigates how to enable continuous monitoring of information needs and the generation of knowledge and insights for stakeholders involved in the lifecycle of software-intensive products. Results indicate that specifying information needs and sharing and reusing knowledge, tools, and concepts can accelerate the generation of knowledge and insights, benefiting stakeholders early on in the analysis process.
INFORMATION AND SOFTWARE TECHNOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Arie-Willem de Leeuw, Mathieu Heijboer, Tim Verdonck, Arno Knobbe, Steven Latre
Summary: We propose a personalized approach for frequent fitness monitoring in road cycling using sensor data collected during bike rides, without the need for maximal effort tests. By analyzing competition and training data of world-class cyclists, we construct personalized heart rate models that accurately relate heart rate to pedal power. Our models take into account the temporal integration involved in the heart's response to exercise, resulting in a higher explained variance compared to models that ignore this integration. By monitoring the parameters of our heart rate models, we can effectively track a cyclist's fitness and determine their aerobic and anaerobic thresholds.
DATA MINING AND KNOWLEDGE DISCOVERY
(2023)
Article
Engineering, Marine
Khanh Q. Bui, Lokukaluge P. Perera
Summary: This paper proposes a big data analytics framework for ship performance monitoring under localized operational conditions, aiming to detect data anomalies, investigate the ship's operational conditions, identify the correlations among parameters, and quantify the ship's performance in each condition. The framework includes a KPI for ship performance quantification to identify the best performance trim-draft mode under the engine modes, providing data quality evaluation and decision support for ship performance monitoring.
Article
Physiology
Nils Haller, Julia C. Blumkaitis, Tilmann Strepp, Anna Schmuttermair, Lorenz Aglas, Perikles Simon, Elmo Neuberger, Christina Kranzinger, Stefan Kranzinger, James O'Brien, Bernd Ergoth, Stefan Raffetseder, Christian Fail, Manfred Duering, Thomas Stoeggl
Summary: This 4-week pilot study assessed the feasibility and acceptance of an extensive monitoring approach using biomarkers, neuromuscular performance, and questionnaires in an elite youth soccer setting. The findings highlight the high feasibility of the approach with no substantial impact on the training routine, but low adherence to the daily questionnaires.
FRONTIERS IN PHYSIOLOGY
(2022)
Article
Automation & Control Systems
Tiandong Xi, Igor Medeiros Beninca, Sebastian Kehne, Marcel Fey, Christian Brecher
Summary: Data analytics plays a significant role in realizing Industry 4.0 by enabling real-time diagnosis and prediction through persistent datasets. A novel tool wear monitoring system for milling process is introduced, bridging the time gap between quality inspection and production, and providing more plausible tool lifetime prediction.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Computer Science, Hardware & Architecture
Seokhyun Chung, Raed Al Kontar
Summary: Revolutionary advances in Internet of Things technologies have opened up significant possibilities for federated analytics (FA) by exploiting edge computing resources to distribute model learning and reduce communication traffic. This article focuses on CM signal prediction using a federated approach, where operating units jointly learn models without sharing their collected CM signals. The key challenge addressed in this study is learning effective FA models in the presence of heterogeneity intrinsic to CM signals. A federated framework and a personalization approach are proposed to improve generalization and adaptability. Experimental results demonstrate the capability of the proposed model in decentralizing model inference and handling heterogeneity in CM signals.
IEEE TRANSACTIONS ON RELIABILITY
(2023)
Article
Business
Sateesh Shet, Tanuj Poddar, Fosso Wamba Samuel, Yogesh K. Dwivedi
Summary: This study examines the application and challenges of HR Analytics in organizations, presents a framework of factors impacting the adoption of HRA, and identifies key aspects and sub-dimensions crucial for successful implementation of HRA.
JOURNAL OF BUSINESS RESEARCH
(2021)
Article
Sport Sciences
Karmen Reinpold, Arthur H. Bossi, James G. Hopker
Summary: This study aims to describe the racing and training demands of the Cape Epic. The results show that participants need to sustain high submaximal power outputs for several hours and repeat high-intensity efforts throughout the race. A well-balanced training program with a pyramidal intensity distribution can serve as an optimal starting point for training approaches.
JOURNAL OF STRENGTH AND CONDITIONING RESEARCH
(2022)
Article
Sport Sciences
Arthur Henrique Bossi, Cristian Mesquida, James Hopker, Bent Ronny Ronnestad
Summary: This study assessed whether adding intermittent vibration to varied-intensity work intervals could further increase cyclists' fractional maximal oxygen uptake. The results showed that adding vibration did not increase the maximal oxygen uptake, and further research is needed to determine the effect of intermittent vibration on cyclists' adaptive stimulus during high-intensity interval training.
INTERNATIONAL JOURNAL OF SPORTS MEDICINE
(2023)
Editorial Material
Physiology
Oyvind Sandbakk, Mark Burnley, James Hopker, Athanasios Pappous, Samuele Maria Marcora, Gary Brickley
INTERNATIONAL JOURNAL OF SPORTS PHYSIOLOGY AND PERFORMANCE
(2023)
Article
Biochemical Research Methods
Eduard Bezuglov, Oleg Talibov, Artemii Lazarev, Zbigniew Waskiewicz, Sergei Iljukov
Summary: Studies show that the effects of new anti-doping measures on elite athletes' performance are limited. However, the implementation of these measures can lead to a decrease in performance in sports where banned substances are widely used. A study found that the performance of athletes from Country A, which was accused of systematic doping, decreased in 8 out of 10 disciplines after the implementation of new anti-doping methods. In contrast, the performance of athletes from Country B, their competitors, did not significantly change.
DRUG TESTING AND ANALYSIS
(2023)
Article
Physiology
Arthur Henrique Bossi, Diana Cole, Louis Passfield, James Hopker
Summary: The purpose of this study was to compare the ability of different methods of relative intensity prescription to normalize performance, physiological, and perceptual responses to HIIT between individuals. The study found that all relative intensity normalization methods were poor, with high inter-individual variability, making it difficult to predict individual responses to HIIT. Therefore, the present study suggests that the investigated methods of intensity prescription do not normalize acute responses to HIIT between individuals.
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
(2023)
Editorial Material
Physiology
Oyvind Sandbakk
INTERNATIONAL JOURNAL OF SPORTS PHYSIOLOGY AND PERFORMANCE
(2023)
Article
Biochemical Research Methods
James G. Hopker, Jim E. Griffin, Laurentiu C. Hinoveanu, Jonas Saugy, Raphael Faiss
Summary: This study aimed to identify athletes at higher risk of doping by analyzing their competitive results. By comparing athletes' performance changes with those of their age-matched peers, the study found that this method can effectively discriminate between athletes with and without anti-doping rule violations, which is helpful for risk stratification.
DRUG TESTING AND ANALYSIS
(2023)
Article
Biochemical Research Methods
Tim Sobolevsky, Katja Walpurgis, Christian Goergens, Matthew Fedoruk, Laura Lewis, Brian Ahrens, Mario Thevis
Summary: Capromorelin has been approved as an appetite stimulant for cats and dogs, but it is prohibited in sports due to its performance-enhancing effects. There is a risk of positive drug test results from incidental exposure to this veterinary drug.
DRUG TESTING AND ANALYSIS
(2023)
Editorial Material
Physiology
Oyvind Sandbakk
INTERNATIONAL JOURNAL OF SPORTS PHYSIOLOGY AND PERFORMANCE
(2023)
Article
Physiology
Oyvind Sandbakk, David B. Pyne, Kerry McGawley, Carl Foster, Rune Kjosen Talsnes, Guro Strom Solli, Gregoire P. Millet, Stephen Seiler, Paul B. Laursen, Thomas Haugen, Espen Tonnessen, Randy Wilber, Teun van Erp, Trent Stellingwerff, Hans-Christer Holmberg, Silvana Bucher Sandbakk
Summary: This commentary provides insights into current and future trends in world-class endurance training, focusing on the accessibility of scientific knowledge for coaches and athletes, integration of practical and scientific exchange, and utilization of new technological advances. Future improvements are expected in the extensive use of advanced technology for monitoring and prescribing training and recovery, more precise use of environmental and nutritional interventions, better understanding of athlete-equipment interactions, and greater emphasis on injury and illness prevention.
INTERNATIONAL JOURNAL OF SPORTS PHYSIOLOGY AND PERFORMANCE
(2023)
Review
Psychology, Clinical
Stanley Wong, An Yi Yu, Nicholas Fabiano, Ofer Finkelstein, Aryan Pasricha, Brett D. M. Jones, Joshua D. Rosenblat, Daniel M. Blumberger, Benoit H. Mulsant, M. Ishrat Husain
Summary: Interest in using psychedelic therapies for mental and substance use disorders has increased. Psilocybin, a classic serotonergic psychedelic, has emerged as a primary focus in clinical research. However, there is limited data on the safety and efficacy of other serotonergic psychedelics.
JOURNAL OF PSYCHOACTIVE DRUGS
(2023)
Article
Sport Sciences
Stephen Wong, Mark Burnley, Alexis Mauger, Sun Fenghua, James Hopker
Summary: This study examined the physiological responses during exercise at FTP and FTP+15W. The results showed that the time to task failure and VO2peak were significantly different between FTP and FTP+15W. Additionally, there was a significant difference in blood lactate levels. Therefore, FTP should not be considered a threshold marker for heavy and severe intensity.
JOURNAL OF SPORTS SCIENCES
(2022)
Article
Physiology
Christopher R. J. Fennell, Alexis R. Mauger, James G. Hopker
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
(2023)
Article
Biochemical Research Methods
Laura Lewis, Jenna Goodrum, Calvin Cai, Tessa Muir, Kristin Boutard, Thomas Capdevielle, Stefano Longo, Matthew Fedoruk, Geoff Miller
Summary: Micro-volumetric capillary blood collection provides a promising alternative to venous blood collection for ABP purposes, with the advantage of providing a more athlete-friendly experience, particularly close to competition.
DRUG TESTING AND ANALYSIS
(2023)
Article
Physiology
Arthur Henrique Bossi, Ulrike Naumann, Louis Passfield, James Hopker
Summary: The purpose of this study was to investigate the effects of exercise intensity normalisation on intra- and inter-individual acute and adaptive responses to an interval training programme. The results showed that normalising exercise intensity based on the maximal sustainable work rate achieved in a self-paced interval training session led to higher training completion rates. Ratings of perceived exertion and heart rates were not affected by the type of intensity normalisation, but the %(W)over dot(max-SP) group had lower intra-individual variability. There were individual responses in maximal oxygen uptake and self-paced interval training performance, but the inter-individual variability was similar between groups. The study concluded that %(W)over dot(max-SP) should be used to normalise completion rates in interval training, but the variability in adaptive responses may not be influenced by the way exercise intensity is normalised.
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
(2023)
