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1.
Nat Commun ; 13(1): 3293, 2022 Jun 07.
Artigo em Inglês | MEDLINE | ID: mdl-35672310

RESUMO

Deep generative models of molecules have grown immensely in popularity, trained on relevant datasets, these models are used to search through chemical space. The downstream utility of generative models for the inverse design of novel functional compounds, depends on their ability to learn a training distribution of molecules. The most simple example is a language model that takes the form of a recurrent neural network and generates molecules using a string representation. Since their initial use, subsequent work has shown that language models are very capable, in particular, recent research has demonstrated their utility in the low data regime. In this work, we investigate the capacity of simple language models to learn more  complex distributions of molecules. For this purpose, we introduce several challenging generative modeling tasks by compiling larger, more complex distributions of molecules and we evaluate the ability of language models on each task. The results demonstrate that language models are powerful generative models, capable of adeptly learning complex molecular distributions. Language models can accurately generate: distributions of the highest scoring penalized LogP molecules in ZINC15, multi-modal molecular distributions as well as the largest molecules in PubChem. The results highlight the limitations of some of the most popular and recent graph generative models- many of which cannot scale to these molecular distributions.


Assuntos
Idioma , Redes Neurais de Computação , Aprendizagem , Registros
2.
Stud Health Technol Inform ; 290: 7-11, 2022 Jun 06.
Artigo em Inglês | MEDLINE | ID: mdl-35672960

RESUMO

Clinical Pathways (CP) provide healthcare personnel with an easy-to-understand high level model of medical steps in specific patient conditions, thereby improving overall process quality in clinical practice. The emergence of new clinical-oriented standards such as openEHR Task Planning (TP) could pose a major step towards clinical process improvement, particularly in complex domains such as infection diagnosis and treatment, where time plays a critical role. In this work, we analyze the suitability of TP to successfully represent time constraints of common process patterns in infections, modelling some of the Catheter-Related Blood Stream Infection (CR-BSI) process patterns as a case study. Our research shows that TP is useful to represent time constraints of infection CPs, although minor improvements could increase its suitability not only for infection processes but for other time-related complex clinical scenarios.


Assuntos
Procedimentos Clínicos , Registros Eletrônicos de Saúde , Humanos , Registros
3.
Stud Health Technol Inform ; 290: 442-446, 2022 Jun 06.
Artigo em Inglês | MEDLINE | ID: mdl-35673053

RESUMO

Information technologies have the potential to increase the safety of healthcare and advance safety science. However, it is now well known that health information systems may also inadvertently introduce new forms of error known as technology-induced error. Such errors may be difficult to detect as they may only appear under conditions of system use in real healthcare settings. In this paper, the authors explore the use and assessment of recall and safety alerts for both identifying and learning from technology-induced error. Publically available safety and recall reports from Canada were analyzed to identify opportunities to improve organizational learning from technology-induced errors. Although a range of error types were identified, it was found that none of the reports provided detailed information about the underlying technical circumstances that led to the need for a recall. Implications for future reporting systems to support learning from technology-induced error are discussed.


Assuntos
Sistemas de Informação em Saúde , Coleta de Dados , Atenção à Saúde , Registros , Tecnologia
4.
Nat Commun ; 13(1): 3067, 2022 Jun 02.
Artigo em Inglês | MEDLINE | ID: mdl-35654796

RESUMO

Biophotovoltaics (BPV) generates electricity from reducing equivalent(s) produced by photosynthetic organisms by exploiting a phenomenon called extracellular electron transfer (EET), where reducing equivalent(s) is transferred to external electron acceptors. Although cyanobacteria have been extensively studied for BPV because of their high photosynthetic activity and ease of handling, their low EET activity poses a limitation. Here, we show an order-of-magnitude enhancement in photocurrent generation of the cyanobacterium Synechocystis sp. PCC 6803 by deprivation of the outer membrane, where electrons are suggested to stem from pathway(s) downstream of photosystem I. A marked enhancement of EET activity itself is verified by rapid reduction of exogenous electron acceptor, ferricyanide. The extracellular organic substances, including reducing equivalent(s), produced by this cyanobacterium serve as respiratory substrates for other heterotrophic bacteria. These findings demonstrate that the outer membrane is a barrier that limits EET. Therefore, depriving this membrane is an effective approach to exploit the cyanobacterial reducing equivalent(s).


Assuntos
Synechocystis , Eletricidade , Transporte de Elétrons , Oxidantes , Fotossíntese , Registros
5.
Sci Rep ; 12(1): 9175, 2022 Jun 02.
Artigo em Inglês | MEDLINE | ID: mdl-35655000

RESUMO

Levator ani defect (LAD) closely correlates with pelvic floor disorders (PFD). In general, LAD was graded by three-dimensional ultrasonography (3D-US) and MRI, which could be used hardly in some developing area. Our objective was to determine whether two-dimensional ultrasonography (2D-US), a method that is almost universally accessible, could be used to diagnose the LAD. 129 Chinese women with PFD were recruited for the LAD grading by 2D-US and 3D-US and MRI. LAD was classified into intact, partial and complete avulsions. The puborectalis attachment width (PAW) was measured by 2D-US and with the software on the three-dimensional MRI-based LAD models. The results were compared and analyzed using the weighted kappa and the Pearson's coefficient. Of the 119 patients, 64 were diagnosed with LAD by 2D-US, 70 were identified by 3D-US while 68 were confirmed by MRI. The LAD grading of 2D-US showed good agreement with MRI (kappa = 0.78, 95% CI 0.71-0.86) and 3D-US (kappa = 0.77, 95% CI 0.70-0.84). In regard to the consensus of partial or complete avulsions, 2D-US showed excellent good agreement with MRI (kappa = 0.86, 95% CI 0.73-0.97), superior than 3D-US with MRI (kappa = 0.55, 95% CI 0.36-0.71). Additionally, iliococcygeus avulsions detected by MRI (n = 7) were accompanied by complete puborectalis avulsions. The averaged PAW was 10.42 ± 5.57 mm measured by 2D-US, which correlated well with the results measured by MRI (Pearson's coefficient = 0.90). 2D-US, 3D-US and MRI showed the good agreement on LAD diagnosis. Compared with MRI and 3D-US, 2D-US was comparable in grading LAD, especially complete avulsions.


Assuntos
Distúrbios do Assoalho Pélvico , Diafragma da Pelve , Feminino , Humanos , Imageamento por Ressonância Magnética , Diafragma da Pelve/diagnóstico por imagem , Registros , Ultrassonografia
6.
Sci Rep ; 12(1): 10284, 2022 Jun 18.
Artigo em Inglês | MEDLINE | ID: mdl-35717423

RESUMO

There is a generalized consensus in the Non-Intrusive Load Monitoring research community on the importance of public datasets for improving this research field. Still, despite the considerable efforts to release public data, what is currently available suffers from serious issues, among which is the lack of widely accepted data models and common interfaces to access the currently available and future datasets. This paper proposes the Energy Monitoring and Disaggregation Data Format (EMD-DF64). EMD-DF64 is a data model, file format, and application programming interface developed to provide a unique interface to create, manage, and access high-frequency (≥ 1 Hz) electric energy consumption datasets. More precisely, the present paper describes the data model and its respective implementation, which was done by leveraging the well-known Sony WAVE64 format that supports the storage of audio data and metadata annotations.


Assuntos
Metadados , Software , Fenômenos Físicos , Registros
7.
Acta Odontol Latinoam ; 35(1): 25-30, 2022 Apr 30.
Artigo em Inglês | MEDLINE | ID: mdl-35700538

RESUMO

The aim of this study was to determine the difference between real age (RA) and dental age (DA) in boys and girls from the Autonomous City of Buenos Aires (C.A.B.A.) by analyzing digital panoramic radiographs from the database of the Imaging Department at the Buenos Aires University School of Dentistry, using the Demirjian Method (DM). The sample consisted of 508 panoramic radiographs of 6- to 14-year old Argentines (268 female and 240 male). The Demirjian method was used to estimate dental age from each panoramic radiograph, and the Wilcoxon test was applied to perform a comparative analysis with the real age recorded in the image database. Average RA was 9.36 years (SD 2.11), and average DA according to the Demirjian method was 10.45 years (SD 2.31). For females, RA was 9.25 (SD 2.12), and DA according to the DM was 10.40 years (SD 2.41). For males, RA was 9.46 (SD 2.10), and DA according to the DM was 10.50 years (SD 2.22). An inter-classcorrelationcoefficient(ICC) calculated as a correlation measure between dental age and real age was ICC = 1.09%. The ICC was 1.04% for the males and 1.15% for females. Significant differences were found between DA and RA (p<0.01) in general and according to sex. Real age was found to be lower than dental age in the study population from Buenos Aires City.


El objetivo del presente trabajo fue determinar la diferencia entre la edad real (ER) y la edad dental (ED) en niños y niñas de la Ciudad de Buenos Aires analizando radiografías panorámicas digitales de la base de datos de la Cátedra de Diagnóstico por imágenes FOUBA, utilizando el Método Demirjian (MD). La muestra consistió en 508 radiografías panorámicas (268 del sexo femenino y 240 del sexo masculino) en una población argentina de 6 a 14 años de edad. Se realizó el cálculo de la edad dental en cada una de ellas, conforme el método de Demirjian. Se efectuó un análisis comparativo con la ER proveniente de la base de datos, utilizando la prueba de Wilcoxon. En las 508 panorámicas se estimó la ED. Se pudo establecer que la ER en promedio es 9.36 años con un desviación estándar (DS) de 2,11 y que la edad según el método de Demirjian es 10,45 años con una DS de 2,31. Para el sexo femenino se obtuvo una ER de 9,25 y una DS de 2,12 y según MD es de10,40años con una DSde 2,41. Para el sexo masculino se obtuvo una ER de 9,46 y una DS de 2,10 y según MD es de 10,50 años con una DS de 2,22. Se obtuvo un coeficiente de correlación inter-clase (CCI), como medida de correlación entre edad dental y real, de (CCI 1,09%). El CCI para el sexo masculino fue de (CCI 1,04 %) y en el caso del sexo femenino fue de (CCI 1,15%). Se hallaron diferencias significativas entre ED y ER (p<0,01) en general y también para ambos sexos. Se pudo evidenciar que la edad real es menor que la edad dental en la población de la Ciudad de Buenos Aires.


Assuntos
Determinação da Idade pelos Dentes , Adolescente , Determinação da Idade pelos Dentes/métodos , Criança , Feminino , Humanos , Masculino , Radiografia Panorâmica/métodos , Registros , Universidades
8.
Sci Rep ; 12(1): 9879, 2022 Jun 14.
Artigo em Inglês | MEDLINE | ID: mdl-35701528

RESUMO

How to identify influential spreaders in complex networks is a topic of general interest in the field of network science. Therefore, it wins an increasing attention and many influential spreaders identification methods have been proposed so far. A significant number of experiments indicate that depending on a single characteristic of nodes to reliably identify influential spreaders is inadequate. As a result, a series of methods integrating multi-characteristics of nodes have been proposed. In this paper, we propose a gravity model that effectively integrates multi-characteristics of nodes. The number of neighbors, the influence of neighbors, the location of nodes, and the path information between nodes are all taken into consideration in our model. Compared with well-known state-of-the-art methods, empirical analyses of the Susceptible-Infected-Recovered (SIR) spreading dynamics on ten real networks suggest that our model generally performs best. Furthermore, the empirical results suggest that even if our model only considers the second-order neighborhood of nodes, it still performs very competitively.


Assuntos
Registros , Características de Residência
9.
Sensors (Basel) ; 22(10)2022 May 16.
Artigo em Inglês | MEDLINE | ID: mdl-35632198

RESUMO

Infrared ocean ships detection still faces great challenges due to the low signal-to-noise ratio and low spatial resolution resulting in a severe lack of texture details for small infrared targets, as well as the distribution of the extremely multiscale ships. In this paper, we propose a CAA-YOLO to alleviate the problems. In this study, to highlight and preserve features of small targets, we apply a high-resolution feature layer (P2) to better use shallow details and the location information. In order to suppress the shallow noise of the P2 layer and further enhance the feature extraction capability, we introduce a TA module into the backbone. Moreover, we design a new feature fusion method to capture the long-range contextual information of small targets and propose a combined attention mechanism to enhance the ability of the feature fusion while suppressing the noise interference caused by the shallow feature layers. We conduct a detailed study of the algorithm based on a marine infrared dataset to verify the effectiveness of our algorithm, in which the AP and AR of small targets increase by 5.63% and 9.01%, respectively, and the mAP increases by 3.4% compared to that of YOLOv5.


Assuntos
Algoritmos , Navios , Oceanos e Mares , Registros
10.
Sensors (Basel) ; 22(10)2022 May 23.
Artigo em Inglês | MEDLINE | ID: mdl-35632345

RESUMO

Data-driven rolling-bearing fault diagnosis methods are mostly based on deep-learning models, and their multilayer nonlinear mapping capability can improve the accuracy of intelligent fault diagnosis. However, problems such as gradient disappearance occur as the number of network layers increases. Moreover, directly taking the raw vibration signals of rolling bearings as the network input results in incomplete feature extraction. In order to efficiently represent the state characteristics of vibration signals in image form and improve the feature learning capability of the network, this paper proposes fault diagnosis model MTF-ResNet based on a Markov transition field and deep residual network. First, the data of raw vibration signals are augmented by using a sliding window. Then, vibration signal samples are converted into two-dimensional images by MTF, which retains the time dependence and frequency structure of time-series signals, and a deep residual neural network is established to perform feature extraction, and identify the severity and location of the bearing faults through image classification. Lastly, experiments were conducted on a bearing dataset to verify the effectiveness and superiority of the MTF-ResNet model. Features learned by the model are visualized by t-SNE, and experimental results indicate that MTF-ResNet showed better average accuracy compared with several widely used diagnostic methods.


Assuntos
Redes Neurais de Computação , Vibração , Coleta de Dados , Aprendizagem , Registros
11.
Sensors (Basel) ; 22(10)2022 May 23.
Artigo em Inglês | MEDLINE | ID: mdl-35632351

RESUMO

MRI is an imaging technology that non-invasively obtains high-quality medical images for diagnosis. However, MRI has the major disadvantage of long scan times which cause patient discomfort and image artifacts. As one of the methods for reducing the long scan time of MRI, the parallel MRI method for reconstructing a high-fidelity MR image from under-sampled multi-coil k-space data is widely used. In this study, we propose a method to reconstruct a high-fidelity MR image from under-sampled multi-coil k-space data using deep-learning. The proposed multi-domain Neumann network with sensitivity maps (MDNNSM) is based on the Neumann network and uses a forward model including coil sensitivity maps for parallel MRI reconstruction. The MDNNSM consists of three main structures: the CNN-based sensitivity reconstruction block estimates coil sensitivity maps from multi-coil under-sampled k-space data; the recursive MR image reconstruction block reconstructs the MR image; and the skip connection accumulates each output and produces the final result. Experiments using the fastMRI T1-weighted brain image dataset were conducted at acceleration factors of 2, 4, and 8. Qualitative and quantitative experimental results show that the proposed MDNNSM method reconstructs MR images more accurately than other methods, including the generalized autocalibrating partially parallel acquisitions (GRAPPA) method and the original Neumann network.


Assuntos
Algoritmos , Imageamento por Ressonância Magnética , Encéfalo/diagnóstico por imagem , Humanos , Imageamento por Ressonância Magnética/métodos , Registros
12.
BMJ ; 377: o1344, 2022 05 27.
Artigo em Inglês | MEDLINE | ID: mdl-35623636

Assuntos
Medicina , Humanos , Registros
13.
Accid Anal Prev ; 173: 106712, 2022 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-35598395

RESUMO

The goal of this study is to provide an overview of previous research that investigated pedestrian violation behaviour, with a focus on identifying the contributing factors of such behaviour, its impact on pedestrian safety, the mitigation strategies, the limitations of current studies, and the future research directions. To that end, the Latent Dirichlet Allocation (LDA) text mining method was applied to extract a comprehensive list of studies that were conducted during the past 21 years related to pedestrian violation behaviours. Using the extracted studies, a multi-sectional literature review was developed to provide a comprehensive understanding of the different aspects related to pedestrian violations. Afterward, a meta-analysis was undertaken, using the studies that reported quantitative results, in order to obtain the average impact of the different contributing factors on the frequency of pedestrian violations. The study found that pedestrian violations are one of the hazardous behaviours that contribute to both the frequency and severity of pedestrian-vehicle collisions. According to the literature, the waiting time at the curbside, traffic volume, walking speed, pedestrian distraction, the presence of bus stops and schools, and the presence of on-street parking are among the key factors that increase the likelihood of pedestrian violations. The study has also reviewed a wide range of strategies that can be used to mitigate violations and reduce the safety consequences of such behaviour, including simple engineering-based countermeasures, enforcement, solutions that rely on advanced in-vehicle technologies, and infrastructure connectivity features, educational programs, and public campaigns.


Assuntos
Pedestres , Acidentes de Trânsito/prevenção & controle , Mineração de Dados , Humanos , Registros , Caminhada
14.
BMC Health Serv Res ; 22(1): 642, 2022 May 13.
Artigo em Inglês | MEDLINE | ID: mdl-35562708

RESUMO

BACKGROUND AND OBJECTIVE: Medication use often causes errors that are dangerous to the health of patients. Previous studies indicate that the use of pharmaceutical pictograms can effectively reduce medication errors. The purpose of this study was to determine the comprehensibility, representativeness, and recall rate of nine medication safety pictograms in a sample of nursing students in Poland in order to validate these images. METHODS: A pictogram validation study was conducted in two phases among nursing students at the Hipolit Cegielski State University of Applied Sciences, Gniezno, Poland. All experimental protocols were approved by the Children's Hospital of Eastern Ontario Research Ethics Board (REB Protocol No: 19/122X). All methods were carried out in accordance with relevant guidelines and regulations. In phase 1, the participants' first exposure to the pictograms, the students were asked to guess the meaning of the pictograms without any additional information in order to assess the pictograms' comprehensibility. To be considered valid, according to ISO standards, the pictograms had to be correctly understood by at least 66.7% of participants. After testing all pictograms, students were given explanations and meanings of the pictograms and asked to rate the representativeness of pictograms. To do so, participants were asked to select a number on a seven-point Likert-style scale to indicate the perceived strength of the relationship between the pictogram and its intended meaning for each pictogram. To be considered valid, a pictogram had to be rated at least five on this scale by at least 66.7% of participants. Phase 2 took place four weeks later, during which recall of the intended meaning and representativeness were assessed following the same procedure. RESULTS: A total of 66 third-year nursing students participated in both phases. In phase 1, of the nine pictograms, six met ISO requirements for comprehensibility and seven met ISO requirements for representativeness. In phase 2, all nine pictograms were correctly understood and rated at least 5 by at least 66.7% of participants. Therefore, all nine pictograms are considered valid. CONCLUSIONS: The nine medication safety pictograms can be deployed, but must be combined with training and a written hazard statement to improve comprehension.


Assuntos
Estudantes de Enfermagem , Criança , Pessoal de Saúde , Humanos , Rememoração Mental , Polônia , Registros
15.
PLoS One ; 17(5): e0263644, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35576222

RESUMO

In recent years, studies on malware analysis have noticeably increased in the cybersecurity community. Most recent studies concentrate on malware classification and detection or malicious patterns identification, but as to malware activity, it still relies heavily on manual analysis for high-level semantic descriptions. We develop a sequence-to-sequence (seq2seq) neural network, called TagSeq, to investigate a sequence of Windows API calls recorded from malware execution, and produce tags to label their malicious behavior. We propose embedding modules to transform Windows API function parameters, registry, filenames, and URLs into low-dimension vectors, while still preserving the closeness property. Moreover, we utilize an attention mechanism to capture the relations between generated tags and certain API invocation calls. Results show that the most possible malicious actions are identified by TagSeq. Examples and a case study demonstrate that the proposed embedding modules preserve semantic-physical relations and that the predicted tags reflect malicious intentions. We believe this work is suitable as a tool to help security analysts recognize malicious behavior and intent with easy-to-understand tags.


Assuntos
Segurança Computacional , Redes Neurais de Computação , Registros , Sistema de Registros , Semântica
16.
Cien Saude Colet ; 27(5): 1843-1848, 2022 May.
Artigo em Espanhol, Inglês | MEDLINE | ID: mdl-35544813

RESUMO

Although communicable diseases affect our bodies, they occur in a society that interprets and gives them meaning. Herd immunity provides the body protection; however, long-term protection requires shifts in the way people interpret and respond to disease, cultural transformation that enables the development of the knowledge, habits and skills that make herd immunity feasible and sustainable. Herd culture allows individuals to protect themselves and restrict their liberty in order to protect others; it is a form of exercising positive liberty and a necessary complement to herd immunity in a democratic society.


Aunque las enfermedades transmisibles afectan nuestros cuerpos, ocurren en una sociedad que las interpreta y dota de significado, y cuyos individuos causan o evitan. La inmunidad de rebaño permite lograr una protección del cuerpo, sin embargo, para su sustentabilidad, se requiere de cambios en la manera cómo las personas interpretan y responden a la enfermedad, de transformaciones culturales que permitan desarrollar conocimientos, hábitos y destrezas que hagan factible y sostenible la inmunidad de rebaño. La cultura de rebaño permite a los individuos protegerse y restringir su libertad para proteger a los demás, es una forma de ejercicio de la libertad positiva y el complemento necesario de la inmunidad del rebaño en la sociedad democrática.


Assuntos
Doenças Transmissíveis , Imunidade Coletiva , Exercício Físico , Humanos , Registros , Vacinação
17.
Artigo em Inglês | MEDLINE | ID: mdl-35564675

RESUMO

Planning has a direct impact on the formation of China's land-use structure. In order to better play its role, China has proposed Multiple Planning Integration. As a part of reform for promoting ecological progress, it should have the concept of ecological progress, as well as the formation of land-use structure. Based on these, we focused on China's land at the county level and developed a method to optimize its land-use structure catering to Multiple Planning Integration and ecological progress, using W County as a case study. This method mainly comprises three parts: calculating the demand area; calculating the carrying capacity; and optimizing the land-use structure. Models are constructed based on the ecological footprint theory. We found that setting unified targets as the link to integrating plans can effectively form the optimal land-use structure at county-level in the manner of "targets set-area determined". There are three ways to integrate the concept of ecological progress into the optimization process. First, unified targets should be set for both ecological protection and socio-economic development, and priority should be given to the implementation of ecological protection; that is, in the process of optimization, the land area for the ecological redline of a county needs to be initially determined. Second, when optimizing the land-use structure, we should consider the carrying capacity of county-level land, in relation to demand related to the implementation of socio-economic development. Third, ecological balance should be ensured by comparing demands and the carrying capacities and maximizing the ecological service values of the land, which are important principles for determining the land-use structure. Our research provides a reference for optimizing land-use structure at the county level in China.


Assuntos
Conservação dos Recursos Naturais , Ecossistema , China , Desenvolvimento Econômico , Registros
18.
BMJ Open ; 12(5): e052926, 2022 05 06.
Artigo em Inglês | MEDLINE | ID: mdl-35523482

RESUMO

OBJECTIVE: Personalised medicine (PM) allows treating patients based on their individual demographic, genomic or biological characteristics for tailoring the 'right treatment for the right person at the right time'. Robust methodology is required for PM clinical trials, to correctly identify groups of participants and treatments. As an initial step for the development of new recommendations on trial designs for PM, we aimed to present an overview of the study designs that have been used in this field. DESIGN: Scoping review. METHODS: We searched (April 2020) PubMed, Embase and the Cochrane Library for all reports in English, French, German, Italian and Spanish, describing study designs for clinical trials applied to PM. Study selection and data extraction were performed in duplicate resolving disagreements by consensus or by involving a third expert reviewer. We extracted information on the characteristics of trial designs and examples of current applications of these approaches. The extracted information was used to generate a new classification of trial designs for PM. RESULTS: We identified 21 trial designs, 10 subtypes and 30 variations of trial designs applied to PM, which we classified into four core categories (namely, Master protocol, Randomise-all, Biomarker strategy and Enrichment). We found 131 clinical trials using these designs, of which the great majority were master protocols (86/131, 65.6%). Most of the trials were phase II studies (75/131, 57.2%) in the field of oncology (113/131, 86.3%). We identified 34 main features of trial designs regarding different aspects (eg, framework, control group, randomisation). The four core categories and 34 features were merged into a double-entry table to create a new classification of trial designs for PM. CONCLUSIONS: A variety of trial designs exists and is applied to PM. A new classification of trial designs is proposed to help readers to navigate the complex field of PM clinical trials.


Assuntos
Medicina de Precisão , Projetos de Pesquisa , Biomarcadores , Humanos , Oncologia , Medicina de Precisão/métodos , Registros
19.
Vital Health Stat 1 ; (190): 1-36, 2022 05.
Artigo em Inglês | MEDLINE | ID: mdl-35593699

RESUMO

Objectives This report describes the creation of the NHANES 2017-March 2020 prepandemic data files, including the selection of the appropriate NHANES sample design (2015-2018) to create sample weights and variance units for public-use data files. Additionally, the development of a factor applied to the primary sampling units to adjust the 2017-March 2020 data to fit the NHANES 2015-2018 sample design is described. Analyses to assess representativeness of the target population were performed, and a simulation to replicate the impact of interrupted data collection using earlier NHANES cycles was undertaken. Analytic guidance specific to use for prepandemic data files is also included. .


Assuntos
Registros , Projetos de Pesquisa , Inquéritos Nutricionais , Estados Unidos
20.
Curr Protoc ; 2(5): e441, 2022 May.
Artigo em Inglês | MEDLINE | ID: mdl-35609144

RESUMO

The power of high-dimensional reduction techniques using multiparameter images has been demonstrated across a variety of different publications. Recently, we published an end-to-end low-cost GUI-based protocol for performing histocytometric spatial analysis on images derived from the most common microscope image formats. However, this protocol is limited by the normalized marker intensity outputs and the difficulty in processing images of highly aggregated and/or exceptionally heterogenous cell populations. Here we present the basic protocols required to construct an advanced histocytometric data file using only freeware. This data file is compatible with images containing cell nuclei clusters that are difficult to segment, and results in histocytometry files retaining the original marker intensity values of the microscopic images they were derived from. This is especially useful in cells that are phenotyped based on relative marker expression levels. Histocytometry data files produced by these protocols are compatible with high-dimensional reduction analysis using marker intensity data, such as tSNEs. This methodology is showcased using stitched microscopic images of murine lymph nodes, complex organs with highly aggregated heterogenous cell populations, that are typically difficult to segment. © 2022 Wiley Periodicals LLC. Basic Protocol 1: Image preprocessing and generation of nuclei marker probability maps Basic Protocol 2: Cell segmentation using ilastik-derived probability maps Basic Protocol 3: Generation of histocytometric .fcs files.


Assuntos
Corantes , Processamento de Imagem Assistida por Computador , Animais , Núcleo Celular , Processamento de Imagem Assistida por Computador/métodos , Camundongos , Microscopia , Registros
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