Article
Statistics & Probability
Fabio Centofanti, Antonio Lepore, Alessandra Menafoglio, Biagio Palumbo, Simone Vantini
Summary: The modern development of data acquisition technologies in industrial processes has led to the collection and monitoring of quality characteristics, with a new functional control chart proposed for adjustment. A real-case study in the shipping industry demonstrates its application for monitoring ship fuel consumption and CO2 emissions.
Article
Automation & Control Systems
Lakshmi Alagappan, Jia En Chu, Joanna Huixin Chua, Jia Wen Ding, Ronghui Xiao, Zhe Yu, Kun Pan, Untzizu Elejalde, Kevin Junliang Lim, Limsoon Wong
Summary: In this study, a new classification and correction technique called CSCAC is proposed, which can simultaneously correct batch effects, perform multi-class classification, and detect new classes. The effectiveness of the method is demonstrated through classification experiments on different types of oils.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2023)
Article
Environmental Sciences
Muhammad Kashif, Abdullah M. Almarashi, Muhammad Aslam, Muhammad Imran Khan
Summary: In wastewater treatment processes, parameters such as BOD, COD, and TSS play a crucial role. This research aims to monitor these variables more effectively by constructing a neutrosophic Hotelling's T-2 control chart using neutrosophic data. The effectiveness of the proposed method is compared with other existing methods, and the sources of variability for each variable are identified using a MYT-decomposition approach.
WATER AIR AND SOIL POLLUTION
(2023)
Article
Computer Science, Interdisciplinary Applications
Sandra Garcia-Bustos, John Ramirez-Figueroa
Summary: This study proposes a control chart that uses a linear combination of Poisson variables based on the Double Dimension sampling methodology. This method aims to reduce costs by measuring expensive or difficult-to-measure Poisson variables only when there are indications of process out-of-control. A user-friendly program is developed to optimize the out-of-control ARL and estimate the parameters for detecting a desired shift as quickly as possible. Numerical results in different scenarios confirm the effectiveness and efficiency of the proposed methodology, which offers significant sampling savings.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Mathematics
Wilson Rojas-Preciado, Mauricio Rojas-Campuzano, Purificacion Galindo-Villardon, Omar Ruiz-Barzola
Summary: This study presents a multivariate statistical process control technique that analyzes qualitative data through Multiple Correspondence Analysis (MCA) and the Hotelling T2 chart. The interpretation of out-of-control points is done by comparing MCA charts and analyzing the chi(2) distance between the categories of the concatenated table and those that represent out-of-control points. The T2Qv control chart performs well in high dimensional settings.
Article
Mathematics
Jimoh Olawale Ajadi, Inez Maria Zwetsloot, Kwok-Leung Tsui
Summary: The study introduces a multivariate control chart for detecting changes in the process dispersion of multiple correlated quality characteristics, showing strong robustness and performance. Comparative experiments demonstrate excellent performance of the proposed control chart in the case of an overall decrease in the covariance matrix, and high robustness to changes in data distribution.
Article
Microbiology
Vanessa B. Vogensen, Mathieu S. Bolhuis, Marieke G. G. Sturkenboom, Tjip S. van der Werf, Wiel C. M. de Lange, Richard M. Anthony, Dick van Soolingen, Jan-Willem Alffenaar, Huib A. M. Kerstjens, Onno W. Akkerman
Summary: This retrospective study in a Dutch TB center investigated the impact of rifampicin on moxifloxacin exposure in patients with isoniazid-resistant or -intolerant TB. The study found a clinically significant 39% decrease in moxifloxacin exposure when rifampicin was co-administered, but moxifloxacin dose adjustment may compensate for this drug-drug interaction.
ANTIMICROBIAL AGENTS AND CHEMOTHERAPY
(2022)
Article
Mathematics
Chuen-Sheng Cheng, Pei-Wen Chen, Yu-Chin Hsieh, Yu-Tang Wu
Summary: In this study, a deep learning-based classification model was developed to recognize control chart patterns in multivariate processes. The model outperformed traditional methods in identifying multivariate non-random patterns and achieved a 10% improvement. The results suggest that the developed model can be beneficial for intelligent SPC.
Article
Computer Science, Artificial Intelligence
Xiawu Zheng, Rongrong Ji, Yuhang Chen, Qiang Wang, Baochang Zhang, Jie Chen, Qixiang Ye, Feiyue Huang, Yonghong Tian
Summary: In this paper, a novel NAS framework MIGO-NAS is proposed to ensure efficiency and generalizability in arbitrary search spaces. The framework optimizes the search space using a multivariate probabilistic distribution and reduces estimation error of natural gradient with a novel MIGO method. Additionally, neural architectures are generated efficiently using a dynamic programming network generation method.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2021)
Article
Engineering, Industrial
Huu Du Nguyen, Adel Ahmadi Nadi, Kim Duc Tran, Philippe Castagliola, Giovanni Celano, Kim Phuc Tran
Summary: This study investigates the performance of the Phase II Shewhart-type RZ control chart for monitoring the ratio of two normal variables with a bivariate time series autoregressive model VAR(1). The research considers the impact of autocorrelation and cross-correlation between quality characteristics on the design and statistical performance of the control chart. An example in a furnace process illustrates the application of the Shewhart-type RZ control chart with bivariate time series observations.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Multidisciplinary
Jean-Claude Malela-Majika, Kashinath Chatterjee, Christos Koukouvinos
Summary: This paper explores the use of multivariate control charts for monitoring multiple quality characteristics, develops a new MTEWMA chart, and reexamines the designs of MEWMA and MDEWMA charts. Results show that the MTEWMA chart has interesting time-varying properties compared to asymptotic properties, and performs superiorly in control limits in many situations.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2022)
Article
Food Science & Technology
Silvia Grassi, Lorenzo Strani, Cristina Alamprese, Nicolo Pricca, Ernestina Casiraghi, Giovanni Cabassi
Summary: This study proposes a process analytical technology approach using near infrared spectroscopy and multivariate statistical process control charts for the control of milk coagulation. The results demonstrate the effectiveness of this method in monitoring coagulation times and detecting possible failures.
Article
Medicine, General & Internal
Emily A. Kendall, Hamidah Hussain, Amber Kunkel, Rachel W. Kubiak, Anete Trajman, Richard Menzies, Paul K. Drain
Summary: The study found that using symptom-based screening for TB before initiating TPT can effectively reduce the occurrence of active TB cases, but may lead to an increase in drug resistance. Screening for subclinical TB can eliminate this increase in drug resistance, but if the screening requirement reduces access to TPT interventions, it may decrease the overall impact of TB prevention.
Article
Engineering, Multidisciplinary
Su-Fen Yang, Barry C. Arnold, Yen-ling Liu, Ming-Che Lu, Shin-Li Lu
Summary: Statistical process control methods are useful for improving or maintaining a manufacturing or service process in a stable state. Multivariate control charts have become important in monitoring multiple related quality variables simultaneously. A new EWMA dispersion control chart is proposed to monitor the process covariance matrix, independent of the process mean vector, and it performs better than existing control charts for detecting out-of-control process variances.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2022)
Article
Cell Biology
Qiang Su, Wei Kuang, Weiyi Hao, Jing Liang, Liang Wu, Chunmei Tang, Yali Wang, Tao Liu
Summary: Patients treated for pulmonary tuberculosis often suffer liver injury due to the effects of anti-TB drugs, which induce inflammatory responses and oxidative stress by activating the NLRP3 inflammasome. Furthermore, drug treatment reduces the activity of drug-metabolizing enzymes, altering the antioxidant defense system in liver cells.
MEDIATORS OF INFLAMMATION
(2021)
Article
Biotechnology & Applied Microbiology
Eduardo Wagner Vasconcelos de Andrade, Sebastien Dupont, Laurent Beney, Roberta Targino Hoskin, Marcia Regina da Silva Pedrini
Summary: This study evaluated the performance of Lactobacillus acidophilus cells as an encapsulating carrier for fisetin using osmoporation. The results showed that osmotic pressure and initial fisetin concentration affected the performance of the osmoporation process. Encapsulated fisetin showed increased melting point and enhanced bioaccessibility. Furthermore, the osmoporated biocapsules efficiently protected and preserved fisetin during simulated digestion. This study demonstrated that osmoporation using probiotic L. acidophilus is a simple and efficient technique to encapsulate and deliver fisetin for food applications.
APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
(2022)
Article
Parasitology
Hellyda K. T. de Andrade Silva, Taciano M. Barbosa, Marfran C. D. Santos, Lidiane G. Silva, Leomir A. S. de Lima, Camilo L. M. Morais, Tatiana C. Bicudo, Renata A. Gama, Kassio M. G. Lima
Summary: This study evaluated the use of near infrared spectroscopy (NIRS) and chemometric methods to separate fly specimens into taxonomic categories and understand their taxonomic relationship. The results showed that NIRS is efficient in identifying the family and genera of flies, providing quick evidence for species identification.
Article
Biochemical Research Methods
Anne B. F. Camara, Wellington J. O. da Silva, Heloise O. M. A. Moura, Natanny K. N. Silva, Kassio M. G. de Lima, Luciene S. de Carvalho
Summary: This research successfully detected and quantified the contamination of kerosene solvent in private aircraft jet fuel using a chemometric methodology combined with spectroscopic techniques, and developed a fast, low-cost, and efficient process for quality control.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2022)
Article
Parasitology
Hellyda K. T. de Andrade Silva, Taciano M. Barbosa, Marfran C. D. Santos, Jessica T. Jales, Antonio M. U. de Araujo, Camilo L. M. Morais, Leomir A. S. de Lima, Tatiana C. Bicudo, Renata A. Gama, Pablo Alves Marinho, Kassio M. G. Lima
Summary: The study used attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy to detect toxic substances in fly larvae from decomposing carcasses, which can assist criminal experts in determining the cause of death in suspected poisoning cases.
Review
Instruments & Instrumentation
Ricardo Fernandes dos Santos, Maria Paraskevaidi, Kassio M. G. Lima
Summary: One of the biggest challenges in Alzheimer's disease (AD) diagnosis is the development of high-performance and minimally invasive tools that can be used in real-time. Biospectroscopic techniques coupled with chemometrics have shown potential in identifying pathological changes in AD before symptoms appear.
APPLIED SPECTROSCOPY REVIEWS
(2023)
Article
Multidisciplinary Sciences
Tales Gomes da Silva, Camilo L. M. Morais, Marfran C. D. Santos, Leomir A. S. de Lima, Raysa Vanessa de Medeiros Freitas, Ricardo Oliveira Guerra, Kassio M. G. Lima
Summary: This study used mid-infrared spectroscopy combined with chemometric techniques to identify osteosarcopenia based on blood serum samples. The results showed that the infrared spectroscopy of blood samples has the potential to identify osteosarcopenia in a simple, fast, and objective way.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Marcelo V. S. Alves, Lanaia I. L. Maciel, Joao O. S. Passos, Camilo L. M. Morais, Marfran C. D. dos Santos, Leomir A. S. Lima, Boniek G. Vaz, Rodrigo Pegado, Kassio M. G. Lima
Summary: This study chemically analyzed blood plasma samples from patients with and without fibromyalgia, combined with symptoms used in the diagnosis of this disease. Spectral data were organized into datasets and submitted to multivariate classification, resulting in good discrimination between controls and fibromyalgia samples. The results confirmed the technique as a good analytical tool for fibromyalgia detection and provided theoretical support for further studies on fibromyalgia diagnosis.
SCIENTIFIC REPORTS
(2023)
Article
Food Science & Technology
Newton Carlos Santos, Raphael Lucas Jacinto Almeida, Eduardo Wagner Vasconcelos de Andrade, Maria de Fatima Dantas de Medeiros, Marcia Regina da Silva Pedrini
Summary: The study aimed to investigate the effects of drying temperature and ethanol pretreatment on the properties of avocado powder produced by foam-mat drying. The results showed that higher temperatures and the presence of ethanol affected the composition and characteristics of the powder. Ethanol pretreatment followed by drying at 70 ? resulted in improved phenolic content, antioxidant activity, solubility, and holding capacity. The findings of this study demonstrate the potential of avocado pulp and ethanol pretreatment in producing value-added ingredients.
JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION
(2023)
Article
Health Care Sciences & Services
Francis L. Martin, Camilo L. M. Morais, Andrew W. Dickinson, Tarek Saba, Thomas Bongers, Maneesh N. Singh, Danielle Bury
Summary: Saliva can be used as a liquid biopsy for screening lung cancer and prostate cancer. By analyzing the bioconstituents in saliva samples using infrared spectroscopy and principal component analysis, a highly accurate model can be built for the detection of these cancers in primary care settings.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Health Care Sciences & Services
Ishaan Maitra, Camilo L. M. Morais, Kassio M. G. Lima, Katherine M. Ashton, Danielle Bury, Ravindra S. Date, Francis L. Martin
Summary: This study demonstrates the potential of ATR-FTIR spectroscopy in classifying and differentiating different stages of oesophageal transformation to oesophageal adenocarcinoma. The study used various algorithms for variable selection and classification, with PCA-QDA showing the highest accuracy in classification. The findings highlight the importance of further research in identifying biochemical markers for early detection of neoplastic changes in susceptible epithelium.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Biotechnology & Applied Microbiology
Eduardo Wagner Vasconcelos de Andrade, Sebastien Dupont, Laurent Beney, Roberta Targino Hoskin, Marcia Regina da Silva Pedrini
Summary: The study investigated the role of S. cerevisiae natural barriers and endogenous cytoplasmatic bodies in stabilizing fisetin encapsulated via sonoprocessing coupled to freeze-drying or spray drying. Both encapsulation protocols improved the thermal and photochemical stability of fisetin compared to non-encapsulated fisetin. Yeast carriers increased the half-life time of fisetin when stored under constant relative humidity. Spray-dried sonoprocessed fisetin capsules proved to be an efficient way to preserve fisetin against harsh conditions.
INTERNATIONAL MICROBIOLOGY
(2023)
Article
Chemistry, Analytical
Weiyi Pang, Yu Xing, Camilo L. M. Morais, Qiufeng Lao, Shengle Li, Zipeng Qiao, You Li, Maneesh N. Singh, Valerio G. Barauna, Francis L. Martin, Zhiyong Zhang
Summary: Diabetes mellitus (DM) is a metabolic disease that is of increasing global concern. The diagnosis and detection of DM and pre-diabetes are currently complicated, expensive, and time-consuming. In this study, a discriminant model was developed using attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy combined with principal component analysis linear discriminant analysis (PCA-LDA), which resulted in a high accuracy rate of 97% for diagnosing DM and pre-diabetes. This approach has significant clinical implications for intervention and risk reduction.
