Search Results - "SCIENTIFIC REPORTS"

Evaluation metrics and statistical tests for machine learning by Rainio, Oona, Teuho, Jarmo, Klén, Riku

“…Research on different machine learning (ML) has become incredibly popular during the past few decades. However, for some researchers not familiar with…”
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Molecular docking as a tool for the discovery of molecular targets of nutraceuticals in diseases management by Agu, P. C., Afiukwa, C. A., Orji, O. U., Ezeh, E. M., Ofoke, I. H., Ogbu, C. O., Ugwuja, E. I., Aja, P. M.

“…Molecular docking is a computational technique that predicts the binding affinity of ligands to receptor proteins. Although it has potential uses in…”
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More than 50 long-term effects of COVID-19: a systematic review and meta-analysis by Lopez-Leon, Sandra, Wegman-Ostrosky, Talia, Perelman, Carol, Sepulveda, Rosalinda, Rebolledo, Paulina A., Cuapio, Angelica, Villapol, Sonia

“…COVID-19 can involve persistence, sequelae, and other medical complications that last weeks to months after initial recovery. This systematic review and…”
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Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm by Amiri, Mohammad Hussein, Mehrabi Hashjin, Nastaran, Montazeri, Mohsen, Mirjalili, Seyedali, Khodadadi, Nima

“…The novelty of this article lies in introducing a novel stochastic technique named the Hippopotamus Optimization (HO) algorithm. The HO is conceived by drawing…”
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COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images by Wang, Linda, Lin, Zhong Qiu, Wong, Alexander

“…The Coronavirus Disease 2019 (COVID-19) pandemic continues to have a devastating effect on the health and well-being of the global population. A critical step…”
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The COVID-19 social media infodemic by Cinelli, Matteo, Quattrociocchi, Walter, Galeazzi, Alessandro, Valensise, Carlo Michele, Brugnoli, Emanuele, Schmidt, Ana Lucia, Zola, Paola, Zollo, Fabiana, Scala, Antonio

“…We address the diffusion of information about the COVID-19 with a massive data analysis on Twitter, Instagram, YouTube, Reddit and Gab. We analyze engagement…”
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AMRFinderPlus and the Reference Gene Catalog facilitate examination of the genomic links among antimicrobial resistance, stress response, and virulence by Feldgarden, Michael, Brover, Vyacheslav, Gonzalez-Escalona, Narjol, Frye, Jonathan G., Haendiges, Julie, Haft, Daniel H., Hoffmann, Maria, Pettengill, James B., Prasad, Arjun B., Tillman, Glenn E., Tyson, Gregory H., Klimke, William

“…Antimicrobial resistance (AMR) is a significant public health threat. With the rise of affordable whole genome sequencing, in silico approaches to assessing…”
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Global, regional, and national burden and trend of diabetes in 195 countries and territories: an analysis from 1990 to 2025 by Lin, Xiling, Xu, Yufeng, Pan, Xiaowen, Xu, Jingya, Ding, Yue, Sun, Xue, Song, Xiaoxiao, Ren, Yuezhong, Shan, Peng-Fei

“…Diabetes mellitus is a leading cause of mortality and reduced life expectancy. We aim to estimate the burden of diabetes by type, year, regions, and…”
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On evaluation metrics for medical applications of artificial intelligence by Hicks, Steven A., Strümke, Inga, Thambawita, Vajira, Hammou, Malek, Riegler, Michael A., Halvorsen, Pål, Parasa, Sravanthi

“…Clinicians and software developers need to understand how proposed machine learning (ML) models could improve patient care. No single metric captures all the…”
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Climate change impact on flood and extreme precipitation increases with water availability by Tabari, Hossein

“…The hydrological cycle is expected to intensify with global warming, which likely increases the intensity of extreme precipitation events and the risk of…”
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Pancancer survival analysis of cancer hallmark genes by Nagy, Ádám, Munkácsy, Gyöngyi, Győrffy, Balázs

“…Cancer hallmark genes are responsible for the most essential phenotypic characteristics of malignant transformation and progression. In this study, our aim was…”
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Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data by Sheller, Micah J., Edwards, Brandon, Reina, G. Anthony, Martin, Jason, Pati, Sarthak, Kotrotsou, Aikaterini, Milchenko, Mikhail, Xu, Weilin, Marcus, Daniel, Colen, Rivka R., Bakas, Spyridon

“…Several studies underscore the potential of deep learning in identifying complex patterns, leading to diagnostic and prognostic biomarkers. Identifying…”
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Agar with embedded channels to study root growth by Aziz, Azlan Abdul, Lim, Kai Boon, Rahman, Ena Kartina Abdul, Nurmawati, Muhammad Hanafiah, Zuruzi, Abu Samah

“…Agar have long been used as a growth media for plants. Here, we made agar media with embedded fluidic channels to study the effect of exposure to nutrient…”
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Virulence-determinants and antibiotic-resistance genes of MDR-E. coli isolated from secondary infections following FMD-outbreak in cattle by Algammal, Abdelazeem M., Hetta, Helal F., Batiha, Gaber E., Hozzein, Wael N., El Kazzaz, Waleed M., Hashem, Hany R., Tawfik, Ayat M., El-Tarabili, Reham M.

“…This study aimed to evaluate the prevalence, multidrug-resistance traits, PCR-detection of virulence, and antibiotic-resistance genes of E. coli isolated from…”
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An extensive study on multiple ETL and HTL layers to design and simulation of high-performance lead-free CsSnCl3-based perovskite solar cells by Hossain, M. Khalid, Toki, G. F. Ishraque, Kuddus, Abdul, Rubel, M. H. K., Hossain, M. M., Bencherif, H., Rahman, Md. Ferdous, Islam, Md. Rasidul, Mushtaq, Muhammad

“…Cesium tin chloride (CsSnCl 3 ) is a potential and competitive absorber material for lead-free perovskite solar cells (PSCs). The full potential of CsSnCl 3…”
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From Louvain to Leiden: guaranteeing well-connected communities by Traag, V. A., Waltman, L., van Eck, N. J.

“…Community detection is often used to understand the structure of large and complex networks. One of the most popular algorithms for uncovering community…”
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Antibacterial action and target mechanisms of zinc oxide nanoparticles against bacterial pathogens by Mendes, Carolina Rosai, Dilarri, Guilherme, Forsan, Carolina Froes, Sapata, Vinícius de Moraes Ruy, Lopes, Paulo Renato Matos, de Moraes, Peterson Bueno, Montagnolli, Renato Nallin, Ferreira, Henrique, Bidoia, Ederio Dino

“…Zinc oxide nanoparticles (ZnO NPs) are one of the most widely used nanoparticulate materials due to their antimicrobial properties, but their main mechanism of…”
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Emerging MDR-Pseudomonas aeruginosa in fish commonly harbor oprL and toxA virulence genes and bla TEM , bla CTX-M , and tetA antibiotic-resistance genes by Algammal, Abdelazeem M, Mabrok, Mahmoud, Sivaramasamy, Elayaraja, Youssef, Fatma M, Atwa, Mona H, El-Kholy, Ali W, Hetta, Helal F, Hozzein, Wael N

“…This study aimed to investigate the prevalence, antibiogram of Pseudomonas aeruginosa (P. aeruginosa), and the distribution of virulence genes (oprL, exoS,…”
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Mapping the NFT revolution: market trends, trade networks, and visual features by Nadini, Matthieu, Alessandretti, Laura, Di Giacinto, Flavio, Martino, Mauro, Aiello, Luca Maria, Baronchelli, Andrea

“…Non Fungible Tokens (NFTs) are digital assets that represent objects like art, collectible, and in-game items. They are traded online, often with…”
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Multimodal deep learning models for early detection of Alzheimer’s disease stage by Venugopalan, Janani, Tong, Li, Hassanzadeh, Hamid Reza, Wang, May D.

“…Most current Alzheimer’s disease (AD) and mild cognitive disorders (MCI) studies use single data modality to make predictions such as AD stages. The fusion of…”
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