Article
Biochemical Research Methods
Nan-Ee Lee, Dae-In Ha, Jeong-Heon Ko, Yong-Sam Kim
Summary: SIPATA is a novel genotyping method that enables sensitive and accurate analysis of single-nucleotide conversions induced by base editors and prime editors, as well as tracking low levels of DNA modifications and multiplexed genotyping.
MOLECULAR AND CELLULAR PROBES
(2021)
Article
Chemistry, Analytical
Xiaolong Li, Lei Liao, Bingying Jiang, Wenjiao Zhou, Ruo Yuan, Yun Xiang
Summary: In this study, a highly sensitive and non-label method was developed to detect the biomarker miRNA-122 for drug-induced liver injury. The method showed high specificity and sensitivity, making it a convenient and universal means for detecting various biomarkers in disease diagnosis at the early stages.
ANALYTICA CHIMICA ACTA
(2022)
Article
Microbiology
Mariko Kanai, Tomas Yeo, Victor Asua, Philip J. Rosenthal, David A. Fidock, Sachel Mok
Summary: The study presents a SNP-based genotyping method that enables the rapid characterization of drug resistance in Plasmodium falciparum parasites. The method utilizes both multiplexed fragment analysis and gel electrophoresis to distinguish different strains. The results demonstrate the potential applications of the method in drug resistance screening, verifying SNP-editing, identifying novel genetic cross progeny, and inferring geographical origins.
ANTIMICROBIAL AGENTS AND CHEMOTHERAPY
(2022)
Article
Biochemical Research Methods
Qiuya Zhang, Dan Wen, Qin Liu, Tanja Opriessnig, Xiaoya Yu, Yonghou Jiang
Summary: In this study, a novel multiplex PCR method was developed for the rapid and specific detection of single or mixed genotype infections of porcine astroviruses (PAstV). The method was evaluated using 273 pig fecal samples, and PAstV4 was found to be the most common genotype.
JOURNAL OF VIROLOGICAL METHODS
(2023)
Article
Computer Science, Information Systems
Ryosuke Ishibashi, Kohei Miyamoto, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi
Summary: Implementing innovative AI-powered network intrusion detection systems is crucial for protecting enterprise networks from cyberattacks. This study explores the possibility of integrating existing security appliances to generate labeled training datasets and evaluates the effectiveness through classification model evaluation.
Article
Green & Sustainable Science & Technology
Zhe Chen, Fu Xiao, Fangzhou Guo
Summary: This study proposes a similarity learning-based method using Siamese networks to improve the performance of machine learning-based FDD in applications with limited labeled data. By increasing the number of training samples, the proposed method significantly improves the generalization ability of machine learning-based FDD in practical applications.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Computer Science, Information Systems
Chaoqun Yang, Lei Mo, Xianghui Cao, Heng Zhang, Zhiguo Shi
Summary: This article addresses the challenging problem of detecting and identifying multiple integrity attacks in cyber-physical systems (CPSs). A knowledge-based method is developed using labeled random finite set (RFS) theory to simultaneously detect and identify these attacks on different sensors. Numerical experiments demonstrate the effectiveness of the proposed solution, which further extends the feasibility of labeled RFS theory in CPS cybersecurity.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Chemistry, Analytical
Ya-Mei Peng, Jian-Zhang Pan, Qun Fang
Summary: Miniaturized LIF detectors with three optical configurations were developed and tested for detection limits of sodium fluorescein. A handheld orthogonal LIF detector was successfully built with small size, moderate cost, and low detection limit for field analysis applications.
Review
Engineering, Electrical & Electronic
Mukesh Kumar Jindal, Mainuddin Mainuddin, S. Veerabuthiran, Anil Kumar Razdan
Summary: The use of Chemical Warfare (CW) agents by terrorists and rogue countries poses a significant threat to civilian and military targets, making remote detection technologies crucial for timely detection and prevention of chemical attacks.
IEEE SENSORS JOURNAL
(2021)
Article
Chemistry, Multidisciplinary
Mayreli Ortiz, Miriam Jauset-Rubio, Vasso Skouridou, Diana Machado, Miguel Viveiros, Taane G. Clark, Anna Simonova, David Kodr, Michal Hocek, Ciara K. O'Sullivan
Summary: In this study, electrochemical detection of single point mutations using solid-phase isothermal primer elongation with redox-labeled oligonucleotides was reported. By assembling four S'-thiolated primers on individual gold electrodes, successful electrochemical detection of single-point mutations in genomic DNA extracted from Mycobacterium tuberculosis strains was achieved, demonstrating a rapid, cost-effective, and facile method for genotyping.
Article
Chemistry, Multidisciplinary
Yahui Wang, Wenxi Zhang, Zhou Wu, Xinxin Kong, Hongxin Zhang
Summary: Laser speech measurement is a new sound capture technology that is prone to speckle noise in complex detection environments, affecting signal quality. To address this issue, the paper proposes an automatic impulsive noise detection and removal method that outperforms other related methods in experimental results.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Electrical & Electronic
Yujia Li, Dongmei Huang, Hongjie Chen, Feng Li, P. K. A. Wai
Summary: This study investigates the statistical properties of phase noise in a swept source-based coherent detection system (CDS) using a Fourier domain mode locked (FDML) laser, both theoretically and experimentally. The study finds that the probability density function (PDF) of the measured residual phase jitter (RPJ) is close to the Gaussian distribution, and the variance of the RPJ increases quadratically with the optical path difference of the CDS. Numerical simulations using stationary white noise confirm these findings, and the experimental results align well with the simulations. Overall, this study provides insights into the noise property of FDML laser-based CDS and evaluates the temporal coherence of swept lasers.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Review
Agriculture, Dairy & Animal Science
Umit Bilginer, Malik Ergin, Eymen Demir, Halil Ibrahim Yolcu, Bahar Argun Karsli
Summary: Environmental challenges and preference for high-yielding breeds have led to the extinction of various local cattle populations and the loss of genetic diversity in modern cattle breeds. However, genetic diversity is essential for meeting the current and future demand for milk and beef in the cattle industry as well as for adaptation to different environmental challenges. By using molecular genetics and bioinformatics tools, genetic data including microsatellites and SNPs can now be detected and analyzed to reveal genetic diversity within and between cattle populations.
ANIMAL SCIENCE PAPERS AND REPORTS
(2022)
Article
Optics
Daeho Kim, Hoon Kim
Summary: We investigate the capacity-achieving symbol distributions for directly modulated laser (DML) and direct-detection (DD) systems utilizing probabilistic constellation shaped pulse amplitude modulation formats. We show that the probabilistic constellation shaping (PCS) technique marginally increases the capacity of DML-DD system when the optical modulation index (OMI) is less than 1. However, the PCS technique allows us to increase the OMI larger than 1 without clipping distortions. As a result, we can increase the capacity of DML-DD system by using the PCS technique in comparison with the uniformly distributed signals.
Article
Optics
Jinpu Lin, Florian Haberstroh, Stefan Karsch, Andreas Doepp
Summary: The recent development of deep artificial neural networks has significantly improved the performance of object classification and detection. By fine-tuning a state-of-the-art object detection architecture, it can be efficiently applied to various object detection tasks in a high-power laser laboratory. This paper presents three exemplary applications demonstrating the effectiveness of this approach. The study shows that deep object detection networks are suitable for assisting experimental analysis in high-power laser facilities, even with limited training sets.
HIGH POWER LASER SCIENCE AND ENGINEERING
(2023)
Article
Microbiology
Luciano Lopes Queiroz, Amanda Goncalves Bendia, Rubens Tadeu Delgado Duarte, Diego Assis das Gracas, Artur Luiz da Costa da Silva, Cristina Rossi Nakayama, Paulo Yukio Sumida, Andre O. S. Lima, Yuriko Nagano, Katsunori Fujikura, Hiroshi Kitazato, Vivian Helena Pellizari
ANTONIE VAN LEEUWENHOEK INTERNATIONAL JOURNAL OF GENERAL AND MOLECULAR MICROBIOLOGY
(2020)
Article
Microbiology
Jorianne Alves, Larissa Dias, Jackeline Mateus, Joana Marques, Diego Gracas, Rommel Ramos, Lucy Seldin, Isabel Henriques, Artur Silva, Adriana Folador
FRONTIERS IN MICROBIOLOGY
(2020)
Article
Cell Biology
Joao Rafael Habib Souza Aquime, Lara Carolina D'Araujo Pinto Zampieri, Maria Sueli da Silva Kataoka, Nelson Antonio Bailao Ribeiro, Ruy Gastaldoni Jaeger, Artur Luiz da Silva, Rommel Thiago Juca Ramos, Sergio de Melo Alves Junior, Joao de Jesus Viana Pinheiro
Article
Environmental Sciences
Pedro Teixeira, Marta Tacao, Leide Pureza, Joana Goncalves, Artur Silva, Maria Paula Cruz-Schneider, Isabel Henriques
ENVIRONMENTAL POLLUTION
(2020)
Article
Biochemistry & Molecular Biology
Pedro Teixeira, Marta Tacao, Rafael A. Barauna, Artur Silva, Isabel Henriques
MOLECULAR GENETICS AND GENOMICS
(2020)
Article
Infectious Diseases
Pamella Silva Lannes-Costa, Rafael Azevedo Barauna, Juliana Nunes Ramos, Joao Flavio Carneiro Veras, Marcos Vinicius Reis Conceicao, Veronica Viana Vieira, Ana Luiza de Mattos-Guaraldi, Rommel Thiago Juca Ramos, Kelly S. Doran, Artur Silva, Prescilla Emy Nagao
INFECTION GENETICS AND EVOLUTION
(2020)
Article
Environmental Sciences
Amanda M. S. Oliveira, Rafael A. Barauna, Davi J. Marcon, Leticia A. B. Lago, Artur Silva, Joana Lusio, Rafael D. S. Tavares, Marta Tacao, Isabel Henriques, Maria P. C. Schneider
MARINE POLLUTION BULLETIN
(2020)
Article
Multidisciplinary Sciences
Darlen Cardoso de Carvalho, Alayde Vieira Wanderley, Andre Mauricio Ribeiro dos Santos, Fabiano Cordeiro Moreira, Roberta Borges Andrade de Sa, Marianne Rodrigues Fernandes, Antonio Andre Conde Modesto, Tatiane Piedade de Souza, Amanda Cohen-Paes, Luciana Pereira Colares Leitao, Juliana Carla Gomes Rodrigues, Artur Luiz da Costa da Silva, Joao Farias Guerreiro, Sidney Santos, Andre Salim Khayat, Paulo Pimentel de Assumpcao, Ney Pereira Carneiro dos Santos
SCIENTIFIC REPORTS
(2020)
Article
Genetics & Heredity
Edian F. Franco, Pratip Rana, Ana Lidia Queiroz Cavalcante, Artur Luiz da Silva, Anne Cybelle Pinto Gomide, Adriana R. Carneiro Folador, Vasco Azevedo, Preetam Ghosh, Rommel T. J. Ramos
Article
Oncology
Marianne Rodrigues Fernandes, Juliana Carla Gomes Rodrigues, Elizabeth Ayres Fragoso Dobbin, Lucas Favacho Pastana, Danielle Feio da Costa, Williams Fernandes Barra, Antonio Andre Conde Modesto, Paula Barauna de Assumpcao, Artur Luiz da Costa Silva, Sidney Emanuel Batista dos Santos, Rommel Mario Rodriguez Burbano, Paulo Pimentel de Assumpcao, Ney Pereira Carneiro dos Santos
Summary: This study analyzed the pharmacogenomics of fluoropyrimidines in gastrointestinal cancer patients in the Brazilian Amazon, identifying potential predictive biomarkers in the ABCC4, FPGS, SLC29A1, and MTHFR genes for precision medicine.
CANCER CHEMOTHERAPY AND PHARMACOLOGY
(2021)
Article
Genetics & Heredity
Susana Araujo, Marta Tacao, Rafael Barauna, Rommel Ramos, Artur Silva, Isabel Henriques
Summary: The study reported draft genome sequences of two multidrug-resistant Escherichia coli strains isolated from lettuce, showing resistance genes against β-lactams, sulphonamides, trimethoprim, tetracyclines, and macrolides. These bacteria also exhibited metal tolerance and various virulence factors, closely related to ETEC.
Article
Immunology
Andressa O. Aragao, Iago R. Blanco, Luciana P. S. Souza, Rommel T. J. Ramos, Luis C. Guimaraes, Artur L. Silva, Vasco A. C. Azevedo, Carlos Leonardo A. Araujo, Adriana R. C. Folador
Summary: Corynebacterium ulcerans is an emerging pathogen capable of transmitting diphtheria to humans, for which there is currently no vaccine available. This study used reverse vaccinology to identify potential vaccine targets at the genomic level, providing detailed information for the development of a new vaccine against diphtheria.
MICROBIAL PATHOGENESIS
(2021)
Article
Multidisciplinary Sciences
Wanderson Marques da Silva, Nubia Seyffert, Artur Silva, Vasco Azevedo
Summary: This article highlights the importance of using proteomics and bioinformatics tools in genomic functional studies of Corynebacterium pseudotuberculosis, revealing different patterns of protein modulation and identifying potential drug and vaccine targets. The combination of these studies expands our knowledge of the pathophysiology of this pathogen.
Article
Multidisciplinary Sciences
Marcus Vinicius Canario Viana, Rodrigo Profeta, Janaina Canario Cerqueira, Alice Rebecca Wattam, Debmalya Barh, Artur Silva, Vasco Azevedo
Summary: In this study, a genome-scale analysis was performed on pathogenic bacterial species of the Corynebacterium genus to identify positive selection in protein-coding genes that may have contributed to their adaptations to ecological niches. The results suggest potential drug and vaccine targets for the prevention and treatment of diseases caused by these bacteria.
Article
Agronomy
Jackeline Rossetti Mateus, Isabella Dal'Rio, Diogo Jurelevicius, Fabio Faria da Mota, Joana Montezano Marques, Rommel Thiago Juca Ramos, Artur Luiz da Costa da Silva, Paulo Roberto Gagliardi, Lucy Seldin
Summary: This study found that two Bacillus strains isolated from sweet potato roots can inhibit the foot rot disease-causing fungus and protect the plant from the disease in pot experiments. Genes encoding antimicrobial substances in these strains were identified through genome sequencing and annotation, suggesting their potential as biocontrol products in sweet potato cultivation.