Article
Multidisciplinary Sciences
Pierre-Marie Wardyn, Virginie de Broucker, Cecile Chenivesse, Annie Sobaszek, Richard Van Bulck, Thierry Perez, Jean-Louis Edme, Sebastien Hulo
Summary: Comparing GLI-2017 reference values with ECSC-93, it was found that GLI-2017 values are more suitable for the population studied and influence the diagnostic criteria and severity definition of several lung diseases.
Article
Cardiac & Cardiovascular Systems
Suneela Zaigham, Xingwu Zhou, Magnus Molin, Anders Sjolander, Robert Moverare, Christer Janson, Andrei Malinovschi
Summary: This study on FENO levels in Swedish respiratory healthy subjects found that individuals sensitized to cat or mite allergens had higher FENO levels, with the highest levels seen in those with high IgE sensitization.
RESPIRATORY MEDICINE
(2021)
Article
Cardiac & Cardiovascular Systems
Kevin O'Gallagher, Ryan E. Rosentreter, Jan Elaine Soriano, Ali Roomi, Saqib Saleem, Tyler Lam, Roman Roy, Grant R. Gordon, Satish R. Raj, Philip J. Chowienczyk, Ajay M. Shah, Aaron A. Phillips
Summary: This study investigates the effects of nNOS inhibition on neurovascular coupling (NVC) in humans. It found that nNOS plays a role in dynamic cerebral blood flow control in healthy adults, particularly the rapidity of the NVC response to visual stimulation.
CIRCULATION RESEARCH
(2022)
Article
Physiology
Lars L. Karlsson, Alain Van Muylem, Dag Linnarsson
Summary: During manned space exploration, lung health is threatened by toxic planetary dust and radiation. Tests such as lung diffusing capacity (DL) may be used to monitor lung health in planetary habitats. This study aimed to investigate the impact of altered gravity and reduced atmospheric pressure on DLNO test results. Results showed that DLNO increased in microgravity and at reduced atmospheric pressure compared to normal gravity and pressure.
FRONTIERS IN PHYSIOLOGY
(2023)
Article
Multidisciplinary Sciences
Leyla Sahebi, Besharat Rahimi, Mamak Shariat, Seyyed Hosein Mousavy
Summary: This study aimed to evaluate the applicability of the multi-ethnic Global Lung Function Initiative 2012 spirometric norms in the Iranian population. The results showed that the GLI reference values were not perfect for the Iranian population, especially in children below 10 years old. However, they were appropriate for the population above 21 years old and would overestimate the prevalence of airway obstruction in individuals below 21 years old.
SCIENTIFIC REPORTS
(2022)
Article
Physiology
Manuel Monteiro Alves, Holger Dressel, Thomas Radtke
Summary: This study examined the test-retest reliability of lung diffusing capacity for nitric oxide (DLNO) and carbon monoxide (DLCO) during exercise. The results showed that single-breath DLNO had excellent reliability during moderate intensity exercise, but perceived breathlessness may limit its usefulness.
RESPIRATORY PHYSIOLOGY & NEUROBIOLOGY
(2022)
Article
Respiratory System
Gerald Stanley Zavorsky, Ahmad Saleh Almamary, Mobarak Khalid Alqahtani, Shi Huh Samuel Shan, Douglas Shawn Gardenhire
Summary: This study aimed to demonstrate the need for race-specific reference equations for DLNO, as there are small but significant racial differences in DLNO and DLCO in healthy black adults.
BMC PULMONARY MEDICINE
(2021)
Review
Physiology
Nejc Sarabon, Ziga Kozinc, Mihael Perman
Summary: Single-joint isometric and isokinetic knee strength assessment is crucial in strength training, physical therapy, and rehabilitation, but literature lacks standardized reference values. A systematic review of studies assessing isometric knee strength revealed differences in knee strength levels between genders and age groups, with adult females and older adults generally showing lower strength levels than adult males.
FRONTIERS IN PHYSIOLOGY
(2021)
Article
Respiratory System
T. Bollmann, T. Ittermann, S. Glaeser, H. Voelzke, M. Doerr, D. Habedank, A. Obst, R. Ewert, C. Schaeper, B. Stubbe
Summary: This study aimed to establish reference equations for pulmonary single-breath diffusing capacity in a representative adult population, and compare them with previous values. By excluding individuals with cardiopulmonary disorders and current smoking habits, new prediction equations were established, taking into consideration age, height, weight and former smoking.
Article
Respiratory System
Emmanouil Paraskakis, Evangelia Sarikloglou, Sotirios Fouzas, Paschalis Steiropoulos, Aggelos Tsalkidis, Andrew Bush
Summary: This study investigates the association between alveolar concentration of nitric oxide (C-alvNO) and future asthma exacerbations. The results show that measuring C-alvNO can better predict asthma exacerbations, highlighting the importance of distal inflammation in asthma outcomes in children.
EUROPEAN RESPIRATORY JOURNAL
(2022)
Article
Multidisciplinary Sciences
Ana Aline Marcelino, Guilherme Augusto Fregonezi, Maria das Gracas Lira, Fernanda de Cordoba Lanza, Illia Nadinne Dantas Lima, Vanessa Regiane Resqueti
Summary: This study determined reference values for maximum static respiratory pressures in healthy children from a Brazilian region, following recommendations of the European Respiratory Society (ERS) and the Brazilian Society of Pneumology and Tisiology (SBPT). It found that respiratory pressures increase with age and that boys have higher values than girls.
Article
Chemistry, Medicinal
Robert C. Spiers, John H. Kalivas
Summary: The paper introduces a generic model selection process using concepts from consensus modeling and QSAR activity landscapes. It is a consensus filtering approach that prioritizes model diversity while conserving prediction similarity, fused with a common bias-variance trade-off measure. MDPS does not require a cross-validation scheme, as models are selected relative to predicting new samples or molecules using unlabeled samples for active predictions.
JOURNAL OF CHEMICAL INFORMATION AND MODELING
(2021)
Article
Chemistry, Physical
Valentina Lorusso, Davide Orsi, Fabrizia Salerni, Libero Liggieri, Francesca Ravera, Robert McMillin, James Ferri, Luigi Cristofolini
Summary: The article provides an overview of current trends and recent results in characterizing emulsions using Diffusing Wave Spectroscopy (DWS). A novel analysis scheme is introduced to extract properties related to drop size and drop dynamics through disentangling Brownian and ballistic motions. The study highlights the importance of sigma(v) in governing drop-drop collisions and coalescence events in relatively unstable emulsions, and its relation to drop size distribution in emulsions subject to sedimentation or creaming.
ADVANCES IN COLLOID AND INTERFACE SCIENCE
(2021)
Article
Cardiac & Cardiovascular Systems
Kevin O'Gallagher, Francesca Puledda, Owen O'Daly, Matthew Ryan, Luke Dancy, Philip J. Chowienczyk, Fernando Zelaya, Peter J. Goadsby, Ajay M. Shah
Summary: This study reveals the fundamental physiological role of nNOS in regulating cerebral blood flow and functional connectivity in the human hippocampus.
CARDIOVASCULAR RESEARCH
(2022)
Review
Nutrition & Dietetics
Matjaz Macuh, Bojan Knap
Summary: This article reviews the scientific evidence of nitrate supplementation on human performance, discussing its effectiveness as an ergogenic aid, and strategies for meeting nitrate needs through dietary intake of nitrate-rich foods. Future research should focus on potential beneficial effects of nitrate supplementation on brain function and its effectiveness on strength and high-intensity intermittent exercise.
Article
Statistics & Probability
Barinder Thind, Kevin Multani, Jiguo Cao
Summary: This article presents a methodology for integrating functional data into deep neural networks. The method not only accurately predicts new data, but also recovers the true underlying relationship between functional covariates and scalar responses. The authors have also developed an R package that enables easy implementation of the approach.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
(2023)
Letter
Medical Laboratory Technology
Gerald S. Zavorsky
CLINICAL CHEMISTRY AND LABORATORY MEDICINE
(2023)
Article
Biology
Matthew R. P. Parker, Laura L. E. Cowen, Jiguo Cao, Lloyd T. Elliott
Summary: This research addresses computational issues in open-population N-mixture models and proposes methods using fast Fourier transform and improved numerical stability. By comparing with standard methods, it demonstrates the advantages of these methods in terms of computational efficiency and precision.
JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS
(2023)
Article
Geriatrics & Gerontology
Ghazal Mirabnahrazam, Da Ma, Cedric Beaulac, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, James E. Galvin, Lei Wang, Mirza Faisal Beg
Summary: Dementia of Alzheimer's Type (DAT) is a complex disorder with an unpredictable progression trajectory. This study used deep-learning models to analyze MRI, genetic, and CDC data to predict the time-to-conversion to DAT for preclinical subjects. The results showed that CDC data performed better in predicting conversion time for subjects with Mild Cognitive Impairment (MCI), while genetic data was most predictive for subjects with Normal Cognition (NC). Combining MRI and genetic features improved the prediction accuracy, and adding CDC data did not significantly enhance the prediction.
NEUROBIOLOGY OF AGING
(2023)
Article
Environmental Sciences
Haixu Wang, Jiguo Cao
Summary: We propose a nonlinear prediction (NOP) method for functional time series. This method addresses the limitations of conventional approaches, which rely on the stationary or linear assumption of the functional time series and struggle with multivariate functional time series. The NOP method employs a nonlinear mapping for functional data, avoids calculating covariance functions, and enables online estimation and prediction, showing superior prediction performances in simulations and real applications.
Article
Environmental Sciences
Yunlong Nie, Liangliang Wang, Jiguo Cao
Summary: Functional single index models are commonly used to describe the nonlinear relationship between a scalar response and a functional predictor. We propose a new compact functional single index model that can identify the region in which the functional predictor is related to the response. The effectiveness of our method is demonstrated through an application example and a simulation study.
Article
Computer Science, Theory & Methods
Zheyuan Li, Jiguo Cao
Summary: The selection of smoothing parameter is crucial for penalized splines estimation. We have developed algorithms to automatically find the optimal smoothing parameter range, which has four advantages.
STATISTICS AND COMPUTING
(2023)
Article
Medical Laboratory Technology
Gerald S. Zavorsky, Xander M. R. van Wijk
Summary: The objective of this study was to determine the stability of blood gases under different storage conditions using survival analyses. The results showed that pCO(2) and pH in blood samples remained stable for 60 minutes at room temperature and 3 hours in slushed ice. However, storing samples in slushed ice reduced the stability time for pO(2), especially when the baseline pO(2) was ≥60 mmHg. In conclusion, according to RCPA guidelines, blood gas and CO-oximetry panels can be stored for up to 40 minutes at room temperature.
CLINICAL CHEMISTRY AND LABORATORY MEDICINE
(2023)
Article
Statistics & Probability
Chuyuan Lin, Ying Yu, Lucas Y. Wu, Jiguo Cao
Summary: Nowadays, the impact of climate events and weather predictions on human activities is significant. By applying the functional principal component analysis (FPCA) method, we investigated the main pattern of variance in the U.S. weather prediction error over a 3-year period. Two types of functional clustering approaches were used to group the states in the U.S. based on their similarity in weather forecast performance, and the strengths and weaknesses of these methods were evaluated. The clustering approaches were then applied to U.S. weather data from 2014 to 2017, resulting in the identification of visually distinct cluster-specific patterns and quantification of cluster-to-cluster differences to determine the most and least predictable U.S. states.
COMPUTATIONAL STATISTICS
(2023)
Article
Health Care Sciences & Services
Shu Jiang, Jiguo Cao, Graham A. A. Colditz
Summary: Screening mammography is crucial for early detection and prevention of breast cancer, but the irregular boundary of breast area in mammograms poses challenges in identifying risk-associated regions. We propose a proportional hazards model with imaging predictors characterized by bivariate splines over triangulation, enforced with group lasso penalty function, to address these challenges and achieve higher discriminatory performance.
STATISTICAL METHODS IN MEDICAL RESEARCH
(2023)
Article
Education, Scientific Disciplines
Serena Trang, Felipe Mattioni Maturana, Juan M. Murias, Michael R. Herbert, Daniel A. Keir
Summary: In exercise physiology, laboratory components are crucial for applying theoretical concepts to personal exercise experiences and introducing data collection and analysis. The gas exchange threshold (GET) and the respiratory compensation point (RCP) are key exercise thresholds that require proper identification. However, the processing and preparation of data have been time-consuming and challenging for students. This article presents a blended laboratory model featuring the Exercise Thresholds App, which provides immediate feedback and eliminates the need for data postprocessing, allowing students to practice threshold identification skills.
ADVANCES IN PHYSIOLOGY EDUCATION
(2023)
Article
Physiology
Rafael de Almeida Azevedo, Pablo R. Fleitas-Paniagua, Mackenzie Trpcic, Danilo Iannetta, Guillaume Y. Millet, Juan M. Murias
Summary: The aim of this study is to investigate the effects of different ramp-incremental (RI) slopes on fatigability and recovery in females and males. The results showed that gender had no significant effect on performance fatigability and recovery, and different RI slopes did not alter the level of performance fatigability at task failure.
JOURNAL OF APPLIED PHYSIOLOGY
(2023)
Article
Statistics & Probability
Haixu Wang, Jiguo Cao
Summary: This article proposes a functional nonlinear learning (FunNoL) method to represent multivariate functional data in a lower-dimensional feature space. The FunNoL method is able to address the missing observation problem and further denoise observations. It achieves better classifications than FPCA, especially in the multivariate functional data setting.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
(2023)
Article
Physiology
Pablo R. Fleitas-Paniagua, Rafael de Almeida Azevedo, Mackenzie Trpcic, Juan M. Murias, Bruce Rogers
Summary: Detrended fluctuation analysis (DFA a1), an index of heart rate variability (HRV), has been of interest as a surrogate marker for exercise intensity boundaries. This report examined the behavior of heart rate variability thresholds (HRVT) across different ramp incremental slopes. The study found that the cycling ramp slope did not have a significant effect on HRVT1 and HRVT2 in terms of heart rate (HR) or VO2.
PHYSIOLOGICAL REPORTS
(2023)
Article
Physiology
Alessandro Moura Zagatto, Vithor Hugo Fialho Lopes, Yago Medeiros Dutra, Rodrigo Araujo Bonetti de Poli, Eimear Dolan, Letizia Rasica, Juan M. Murias, Paulo Henrique Silva Marques de Azevedo
Summary: This study aimed to investigate the effects of sodium bicarbonate (NaHCO3) ingestion on constant load cycling performance and neuromuscular fatigue. The results showed that NaHCO3 ingestion did not affect performance or indicators of neuromuscular fatigue. However, participants performed better when they were informed that they were ingesting an ergogenic supplement, suggesting a placebo effect may contribute to the apparent ergogenic effect of NaHCO3.
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Julia Claudiane da Veiga, Neidiquele Maria Silveira, Amedea Barozzi Seabra, Ilana Urbano Bron
Summary: This review investigates the strategy of using nitric oxide (NO) donors to extend postharvest shelf-life and improve fruit quality, discusses the interactions between NO and ethylene or reactive oxygen species, and highlights the potential of nanotechnology in NO applications.
NITRIC OXIDE-BIOLOGY AND CHEMISTRY
(2024)