5,655 results match your criteria combined dataset

Reproductive performance in houbara bustard is affected by the combined effects of age, inbreeding and number of generations in captivity.

Sci Rep 2021 Apr 9;11(1):7813. Epub 2021 Apr 9.

Centre d'Ecologie et des Sciences de la Conservation (CESCO), Muséum national d'Histoire naturelle, Centre National de la Recherche Scientifique, Sorbonne Université, 57 rue Cuvier, CP 135, 75005, Paris, France.

Although captive breeding programs are valuable for conservation, they have been shown to be associated with genetic changes, such as adaptation to captivity or inbreeding. In addition, reproductive performance is strongly age-dependent in most animal species. These mechanisms that potentially impact reproduction have often been studied separately, while their interactions have rarely been addressed. Read More

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Deep learning approach to predict pain progression in knee osteoarthritis.

Skeletal Radiol 2021 Apr 9. Epub 2021 Apr 9.

Department of Radiology, New York University, New York, NY, USA.

Objective: To develop and evaluate deep learning (DL) risk assessment models for predicting pain progression in subjects with or at risk of knee osteoarthritis (OA).

Materials And Methods: The incidence and progression cohorts of the Osteoarthritis Initiative, a multi-center longitudinal study involving 9348 knees in 4674 subjects with or at risk of knee OA that began in 2004 and is ongoing, were used to conduct this retrospective analysis. A subset of knees without and with pain progression (defined as a 9-point or greater increase in pain score between baseline and two or more follow-up time points over the first 48 months) was randomly stratified into training (4200 knees with a mean age of 61. Read More

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miR-944 Suppresses EGF-Induced EMT in Colorectal Cancer Cells by Directly Targeting GATA6.

Onco Targets Ther 2021 31;14:2311-2325. Epub 2021 Mar 31.

Department of Gastrointestinal Surgery & Hernia and Abdominal Wall Surgery, The First Hospital, China Medical University, Shenyang, 110001, Liaoning, People's Republic of China.

Background: miR-944 belongs to the MicroRNAs family, as shown in our previous study, and is essential in the colorectal cancer (CRC) progression. It is negatively associated with invasion depth and lymph node status. Epithelial-mesenchymal transition (EMT) is essential in tumor invasion and metastasis. Read More

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Evaluation of the Artificial Neural Network and Naive Bayes Models Trained with Vertebra Ratios for Growth and Development Determination.

Turk J Orthod 2021 2;34(1):2-9. Epub 2020 Dec 2.

Department of Computer Engineering, Necmettin Erbakan University, Konya Engineering and Architecture Faculty, Turkey.

Objective: This study aimed to evaluate the success rates of the artificial neural network models (NNMs) and naive Bayes models (NBMs) trained with various cervical vertebra ratios in cephalometric radiographs for determining growth and development.

Methods: Our retrospective study was performed on 360 individuals between the ages of 8 and 17 years, whose cephalometric radiographs were taken. According to the evaluation of cephalometric radiographs, growth and development periods were divided into 6 vertebral stages. Read More

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December 2020

Deep-Learning-Based Diagnosis of Bedside Chest X-ray in Intensive Care and Emergency Medicine.

Invest Radiol 2021 Mar 5. Epub 2021 Mar 5.

From the Department of Radiology, Charité, Berlin Department of Radiology, Berlin Institute of Health (BIH), Charité, Berlin Institute of Oral and Maxillofacial Surgery, Charité, Berlin Department of Diagnostic and Interventional Radiology, Technical Universtity of Munich, School of Medicine, Munich, Germany.

Objectives: Validation of deep learning models should separately consider bedside chest radiographs (CXRs) as they are the most challenging to interpret, while at the same time the resulting diagnoses are important for managing critically ill patients. Therefore, we aimed to develop and evaluate deep learning models for the identification of clinically relevant abnormalities in bedside CXRs, using reference standards established by computed tomography (CT) and multiple radiologists.

Materials And Methods: In this retrospective study, a dataset consisting of 18,361 bedside CXRs of patients treated at a level 1 medical center between January 2009 and March 2019 was used. Read More

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Improving deconvolution methods in biology through open innovation competitions: an application to the connectivity map.

Bioinformatics 2021 Apr 6. Epub 2021 Apr 6.

Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.

Motivation: Do machine learning methods improve standard deconvolution techniques for gene expression data? This article uses a unique new dataset combined with an open innovation competition to evaluate a wide range of approaches developed by 294 competitors from 20 countries. The competition's objective was to address a deconvolution problem critical to analyzing genetic perturbations from the Connectivity Map. The issue consists of separating gene expression of individual genes from raw measurements obtained from gene pairs. Read More

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LncRNAs NEAT1 and MALAT1 Differentiate Inflammation in Severe COVID-19 Patients.

medRxiv 2021 Mar 29. Epub 2021 Mar 29.

Hyperactive and damaging inflammation is a hallmark of severe rather than mild COVID-19 syndrome. To uncover key inflammatory differentiators between severe and mild COVID-19 disease, we applied an unbiased single-cell transcriptomic analysis. We integrated a bronchoalveolar lavage (BAL) dataset with a peripheral blood mononuclear cell dataset (PBMC) and analyzed the combined cell population, focusing on genes associated with disease severity. Read More

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Characteristics of Imperial College London's COVID-19 research outputs.

Learn Publ 2021 Jan 12. Epub 2021 Jan 12.

Imperial College London London UK.

We identified 651 research outputs on the topic of COVID-19 in the form of preprint, report, journal article, dataset, and software/code published by Imperial College London authors between January to September 2020. We sought to understand the distribution of outputs over time by output type, peer review status, publisher, and open access status. Search of Scopus, the institutional repositories, Github, and other databases identified relevant research outputs, which were then combined with Unpaywall open access data and manually-verified associations between preprints and journal articles. Read More

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January 2021

Analysis of SEC24D Gene in Breast Cancer Based on UALCAN Database.

Open Life Sci 2019 Jan 31;14:707-711. Epub 2019 Dec 31.

Department of Radiology, The No.2 Hospital of Baoding, Baoding 071051, P.R. China.

Objective: To analyze the expression and its clinical significance of the SEC24D gene in breast cancer.

Methods: The dataset of breast cancer were searched in the UALCAN database, and the data obtained were mined and combined with literature analysis.

Results: The mRNA expression of the SEC24D gene in breast cancer tissues was significantly higher than that of breast normal tissues from the UALCAN database ( < 0. Read More

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January 2019

Enhancement of conformational B-cell epitope prediction using CluSMOTE.

PeerJ Comput Sci 2020 1;6:e275. Epub 2020 Jun 1.

Department of Computer Science and Electronics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, Yogyakarta, Indonesia.

Background: A conformational B-cell epitope is one of the main components of vaccine design. It contains separate segments in its sequence, which are spatially close in the antigen chain. The availability of Ag-Ab complex data on the Protein Data Bank allows for the development predictive methods. Read More

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Dual network embedding for representing research interests in the link prediction problem on co-authorship networks.

PeerJ Comput Sci 2019 21;5:e172. Epub 2019 Jan 21.

School of Data Analysis and Artificial Intelligence, National Research University Higher School of Economics, Moscow, Russia.

We present a study on co-authorship network representation based on network embedding together with additional information on topic modeling of research papers and new edge embedding operator. We use the link prediction (LP) model for constructing a recommender system for searching collaborators with similar research interests. Extracting topics for each paper, we construct keywords co-occurrence network and use its embedding for further generalizing author attributes. Read More

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January 2019

Construction of Gene Modules and Analysis of Prognostic Biomarkers for Cervical Cancer by Weighted Gene Co-Expression Network Analysis.

Front Oncol 2021 18;11:542063. Epub 2021 Mar 18.

Department of Pathology, The Shengjing Hospital of China Medical University, Shenyang, China.

Background: Despite advances in the understanding of neoplasm, patients with cervical cancer still have a poor prognosis. Identifying prognostic markers of cervical cancer may enable early detection of recurrence and more effective treatment.

Methods: Gene expression profiling data were acquired from the Gene Expression Omnibus database. Read More

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Prediction of neoadjuvant chemotherapy response in high-grade osteosarcoma: added value of non-tumorous bone radiomics using CT images.

Quant Imaging Med Surg 2021 Apr;11(4):1184-1195

Nuclear & Radiological Engineering and Medical Physics Programs, Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.

Background: This study aimed to determine the impact of including radiomics analysis of non-tumorous bone region of interest in improving the performance of pathological response prediction to chemotherapy in high-grade osteosarcomas (HOS), compared to radiomics analysis of tumor region alone.

Methods: This retrospective study included 157 patients diagnosed with HOS between November 2013 and November 2017 (age range, 5-44 years; mean age, 16.99 ±7. Read More

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Global Diversity and Taxonomy of (Hymenochaetales, Basidiomycota): Four New Species and Keys to Species of the Genus.

J Fungi (Basel) 2021 Mar 26;7(4). Epub 2021 Mar 26.

Institute of Microbiology, School of Ecology and Nature Conservation, PO Box 61, Beijing Forestry University, Beijing 100083, China.

The genus is a polypore genus with resupinate, white to cream or buff fresh basidioma, poroid or hydnoid hymenophore, a monomitic or dimitic hyphal system with generative hyphae bearing clamp connections, the presence of rosette-like crystals and allantoid to lunate basidiospores. We study the phylogeny and diversity of herein by using both morphological and molecular methods. Phylogenetic analyses are based on the ITS dataset, the combined 2-locus dataset (5. Read More

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Towards Continuous Camera-Based Respiration Monitoring in Infants.

Sensors (Basel) 2021 Mar 24;21(7). Epub 2021 Mar 24.

Department of Electrical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.

Aiming at continuous unobtrusive respiration monitoring, motion robustness is paramount. However, some types of motion can completely hide the respiration information and the detection of these events is required to avoid incorrect rate estimations. Therefore, this work proposes a motion detector optimized to specifically detect severe motion of infants combined with a respiration rate detection strategy based on automatic pixels selection, which proved to be robust to motion of the infants involving head and limbs. Read More

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Phylogenetic and Haplotype Network Analyses of Species in China Based on Sequences of Multiple Loci.

Biology (Basel) 2021 Mar 1;10(3). Epub 2021 Mar 1.

Key Lab of Horticultural Plant Biology, Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China.

is considered one of the most important causal agents of many plant diseases, with a broad host range worldwide. In this study, multiple sequences of ribosomal internal transcribed spacer region (ITS), translation elongation factor 1-α gene (), beta-tubulin gene (), calmodulin gene (), and histone-3 gene () were used for multi-locus phylogenetic analysis. For phylogenetic analysis, maximum likelihood (ML), maximum parsimony (MP), and Bayesian inferred (BI) approaches were performed to investigate relationships of with closely related species. Read More

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Effect of Distance to Trauma Centre, Trauma Centre Level, and Trauma Centre Region on Fatal Injuries among Motorcyclists in Taiwan.

Int J Environ Res Public Health 2021 Mar 15;18(6). Epub 2021 Mar 15.

Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei City 110, Taiwan.

Background: Studies have suggested that trauma centre-related risk factors, such as distance to the nearest trauma hospital, are strong predictors of fatal injuries among motorists. Few studies have used a national dataset to study the effect of trauma centre-related risk factors on fatal injuries among motorists and motorcyclists in a country where traffic is dominated by motorcycles. This study investigated the effect of distance from the nearest trauma hospital on fatal injuries from two-vehicle crashes in Taiwan from 2017 to 2019. Read More

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Multi-Level Context Pyramid Network for Visual Sentiment Analysis.

Sensors (Basel) 2021 Mar 18;21(6). Epub 2021 Mar 18.

School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, China.

Sharing our feelings through content with images and short videos is one main way of expression on social networks. Visual content can affect people's emotions, which makes the task of analyzing the sentimental information of visual content more and more concerned. Most of the current methods focus on how to improve the local emotional representations to get better performance of sentiment analysis and ignore the problem of how to perceive objects of different scales and different emotional intensity in complex scenes. Read More

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Automatic Sleep-Stage Scoring in Healthy and Sleep Disorder Patients Using Optimal Wavelet Filter Bank Technique with EEG Signals.

Int J Environ Res Public Health 2021 Mar 17;18(6). Epub 2021 Mar 17.

School of Engineering, Ngee Ann Polytechnic, Singapore 599489, Singapore.

Sleep stage classification plays a pivotal role in effective diagnosis and treatment of sleep related disorders. Traditionally, sleep scoring is done manually by trained sleep scorers. The analysis of electroencephalogram (EEG) signals recorded during sleep by clinicians is tedious, time-consuming and prone to human errors. Read More

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Three New Derivatives of Zopfinol from gen. et comb. nov.

J Fungi (Basel) 2021 Mar 3;7(3). Epub 2021 Mar 3.

Helmholtz Centre for Infection Research GmbH and German Centre for Infection Research (DZIF), Department Microbial Drugs, Partner Site Hannover-Braunschweig, 38124 Braunschweig, Germany.

was analyzed for the production of secondary metabolites, resulting in the isolation of known zopfinol () and its new derivatives zopfinol B-C (), the 10-membered lactones 7-O-acetylmultiplolide A () and 8-O-acetylmultiplolide A (), together with sordarin (), sordarin B (), and hypoxysordarin (). The absolute configuration of was elucidated by the synthesis of MPTA-esters. Compound showed antimicrobial activity against the Gram-positive bacteria and and the fungus . Read More

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Insight into the Systematics of Microfungi Colonizing Dead Woody Twigs of in Honghe (China).

J Fungi (Basel) 2021 Mar 3;7(3). Epub 2021 Mar 3.

CAS Key Laboratory for Plant Biodiversity and Biogeography of East Asia (KLPB), Kunming Institute of Botany, Chinese Academy of Science, Kunming 650201, Yunnan, China.

Members of are broadly distributed across subtropical and tropical areas of southwest and southern China. This host provides multiple substrates that can be richly colonized by numerous undescribed fungal species. There is a severe lack of microfungal studies on in China, and consequently, the diversity, phylogeny and taxonomy of these microorganisms are all largely unknown. Read More

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Differences in Function and Healthcare Cost of Older Adults with Dementia by Long-Term Care Service Type: A National Dataset Analysis.

Healthcare (Basel) 2021 Mar 10;9(3). Epub 2021 Mar 10.

Mokpo National Quarantine Station, 20 Haean-ro, 177 Beon-gil, Mokpo-si 58754, Korea.

This study aims to analyze the function and cost changes among long-term care insurance (LTCI) beneficiaries with low-severity dementia according to their LTCI service type. Data were collected from the Korean LTCI and national health insurance (NHI) datasets. Participants were 4414 beneficiaries with dementia aged 65 or older who received LTC services continuously for 4 years (2008-2011). Read More

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Real-Time Prognostics of Engineered Systems under Time Varying External Conditions Based on the COX PHM and VARX Hybrid Approach.

Hongmin Zhu

Sensors (Basel) 2021 Mar 2;21(5). Epub 2021 Mar 2.

Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK.

In spite of the development of the Prognostics and Health Management (PHM) during past decades, the reliability prognostics of engineered systems under time-varying external conditions still remains a challenge in such a field. When considering the challenge mentioned above, a hybrid method for predicting the reliability index and the Remaining Useful Life (RUL) of engineered systems under time-varying external conditions is proposed in this paper. The proposed method is competent in reflecting the influence of time-varying external conditions on the degradation behaviour of engineered systems. Read More

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Hepatocellular Carcinoma Automatic Diagnosis within CEUS and B-Mode Ultrasound Images Using Advanced Machine Learning Methods.

Sensors (Basel) 2021 Mar 21;21(6). Epub 2021 Mar 21.

Department of Computer Science, Faculty of Automation and Computer Science, Technical University of Cluj-Napoca, Baritiu Street, No. 26-28, 400027 Cluj-Napoca, Romania.

Hepatocellular Carcinoma (HCC) is the most common malignant liver tumor, being present in 70% of liver cancer cases. It usually evolves on the top of the cirrhotic parenchyma. The most reliable method for HCC diagnosis is the needle biopsy, which is an invasive, dangerous method. Read More

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, and -Three New Species in Subgenus (, Basidiomycota) with Comments on and Related Species.

J Fungi (Basel) 2021 Mar 8;7(3). Epub 2021 Mar 8.

Department of Forest Protection and Wildlife Management, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, CZ-613 00 Brno, Czech Republic.

is one of the taxonomically most complicated genera of Agaricomycetes with several taxonomically lineages. The subgenus of the genus contains species with either urticoid or absent cheilocystidia. In this paper, three new European species, , , and are described as new to science. Read More

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PredNTS: Improved and Robust Prediction of Nitrotyrosine Sites by Integrating Multiple Sequence Features.

Int J Mol Sci 2021 Mar 8;22(5). Epub 2021 Mar 8.

Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka 820-8502, Japan.

Nitrotyrosine, which is generated by numerous reactive nitrogen species, is a type of protein post-translational modification. Identification of site-specific nitration modification on tyrosine is a prerequisite to understanding the molecular function of nitrated proteins. Thanks to the progress of machine learning, computational prediction can play a vital role before the biological experimentation. Read More

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Identification of high-dimensional omics-derived predictors for tumor growth dynamics using machine learning and pharmacometric modeling.

CPT Pharmacometrics Syst Pharmacol 2021 Apr 1. Epub 2021 Apr 1.

Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.

Pharmacometric modeling can capture tumor growth inhibition (TGI) dynamics and variability. These approaches do not usually consider covariates in high-dimensional settings, whereas high-dimensional molecular profiling technologies ("omics") are being increasingly considered for prediction of anticancer drug treatment response. Machine learning (ML) approaches have been applied to identify high-dimensional omics predictors for treatment outcome. Read More

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The Avon Longitudinal Study of Parents and Children - A resource for COVID-19 research: Generation 2 questionnaire data capture May-July 2020.

Wellcome Open Res 2020 26;5:278. Epub 2020 Nov 26.

ALSPAC, Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK.

The Avon Longitudinal Study of Parents and Children (ALSPAC) is a prospective population-based cohort study which recruited pregnant women in 1990-1992 from the Bristol area (UK). ALSPAC has followed these women, their partners (Generation 0; G0) and their offspring (Generation 1; G1) ever since. From 2012, ALSPAC has identified G1 participants who were pregnant (or their partner was) or had become parents, and enrolled them, their partners, and children in the ALSPAC-Generation 2 (ALSPAC-G2) study, providing a unique multi-generational cohort. Read More

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November 2020

Machine Learning for Building Immune Genetic Model in Hepatocellular Carcinoma Patients.

J Oncol 2021 17;2021:6676537. Epub 2021 Mar 17.

Reproductive Medicine Center, Yue Bei People's Hospital, Shantou University Medical College, Shaoguan, Guangdong, China.

Background: Hepatocellular carcinoma (HCC) is the leading liver cancer with special immune microenvironment, which played vital roles in tumor relapse and poor drug responses. In this study, we aimed to explore the prognostic immune signatures in HCC and tried to construct an immune-risk model for patient evaluation.

Methods: RNA sequencing profiles of HCC patients were collected from the cancer genome Atlas (TCGA), international cancer genome consortium (ICGC), and gene expression omnibus (GEO) databases (GSE14520). Read More

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Nitrogen removal processes in lakes of different trophic states from on-site measurements and historic data.

Aquat Sci 2021 10;83(2):37. Epub 2021 Mar 10.

Eawag, Swiss Federal Institute of Aquatic Science and Technology, 6047 Kastanienbaum, Switzerland.

Freshwater lakes are essential hotspots for the removal of excessive anthropogenic nitrogen (N) loads transported from the land to coastal oceans. The biogeochemical processes responsible for N removal, the corresponding transformation rates and overall removal efficiencies differ between lakes, however, it is unclear what the main controlling factors are. Here, we investigated the factors that moderate the rates of N removal under contrasting trophic states in two lakes located in central Switzerland. Read More

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