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Academic literature on the topic 'W2v'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "W2v"

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Wu, Jingqiao, Xiaoyue Feng, Renchu Guan, and Yanchun Liang. "Cancer Research Trend Analysis Based on Fusion Feature Representation." Entropy 23, no. 3 (March 12, 2021): 338. http://dx.doi.org/10.3390/e23030338.

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Machine learning models can automatically discover biomedical research trends and promote the dissemination of information and knowledge. Text feature representation is a critical and challenging task in natural language processing. Most methods of text feature representation are based on word representation. A good representation can capture semantic and structural information. In this paper, two fusion algorithms are proposed, namely, the Tr-W2v and Ti-W2v algorithms. They are based on the classical text feature representation model and consider the importance of words. The results show that the effectiveness of the two fusion text representation models is better than the classical text representation model, and the results based on the Tr-W2v algorithm are the best. Furthermore, based on the Tr-W2v algorithm, trend analyses of cancer research are conducted, including correlation analysis, keyword trend analysis, and improved keyword trend analysis. The discovery of the research trends and the evolution of hotspots for cancers can help doctors and biological researchers collect information and provide guidance for further research.
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Sigmawaty, Dinda, and Mirna Adriani. "LEARNING WORD RELATEDNESS OVER TIME FOR TEMPORAL RANKING." Jurnal Ilmu Komputer dan Informasi 12, no. 2 (July 8, 2019): 91. http://dx.doi.org/10.21609/jiki.v12i2.745.

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Queries and ranking with temporal aspects gain significant attention in field of Information Retrieval. While searching for articles published over time, the relevant documents usually occur in certain temporal patterns. Given a query that is implicitly time sensitive, we develop a temporal ranking using the important times of query by drawing from the distribution of query trend relatedness over time. We also combine the model with Dual Embedding Space Model (DESM) in the temporal model according to document timestamp. We apply our model using three temporal word embeddings algorithms to learn relatedness of words from news archive in Bahasa Indonesia: (1) QT-W2V-Rank using Word2Vec (2) QT-OW2V-Rank using OrthoTrans-Word2Vec (3) QT-DBE-Rank using Dynamic Bernoulli Embeddings. The highest score was achieved with static word embeddings learned separately over time, called QT-W2V-Rank, which is 66% in average precision and 68% in early precision. Furthermore, studies of different characteristics of temporal topics showed that QT-W2V-Rank is also more effective in capturing temporal patterns such as spikes, periodicity, and seasonality than the baselines.
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Zhen, Lihua, and Xiaoqi Sun. "The Research of Convolutional Neural Network Based on Integrated Classification in Question Classification." Scientific Programming 2021 (October 12, 2021): 1–8. http://dx.doi.org/10.1155/2021/4176059.

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As a new generation of search engine, automatic question answering system (QAS) is becoming more and more important and has become one of the hotspots of computer application research and natural language processing (NLP). However, as an indispensable part of the QAS, the role of question classification is an understood thing in the system. In view of this, to further make the performance of question classification much better, both the feature extraction and the classification model were explored. On the study of existing CNN research, an improved CNN model based on Bagging integrated classification (“W2V + B-CNN” for short) is proposed and applied to question classification. Firstly, we combine the characteristics of short texts, use the Word2Vec tool to map the features of the words to a certain dimension, and organize the question sentences into the form of a two-dimensional matrix similar to the image. Then, the trained word vectors are used as the input of the CNN for feature extraction. Finally, the Bagging integrated classification algorithm is used to replace the Softmax classification of the traditional CNN for classification. In other words, the good of W2V + B-CNN model is that it can make use of the advantages of CNN and Bagging integrated classification at the same time. Overall, the new model can not only use the powerful feature extraction capabilities of CNN to extract the potential features of natural language questions but also use the good data classification capabilities of the integrated classification algorithm for feature classification at the same time, which can help improve the accuracy of the W2V + B-CNN in the application of question classification. The comparative experiment results prove that the effect of the W2V + B-CNN is significantly better than that of the CNN and other classification algorithms in question classification.
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Kim, Suhyeon, Haecheong Park, and Junghye Lee. "Word2vec-based latent semantic analysis (W2V-LSA) for topic modeling: A study on blockchain technology trend analysis." Expert Systems with Applications 152 (August 2020): 113401. http://dx.doi.org/10.1016/j.eswa.2020.113401.

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Obeid, Jihad S., Jennifer Dahne, Sean Christensen, Samuel Howard, Tami Crawford, Lewis J. Frey, Tracy Stecker, and Brian E. Bunnell. "Identifying and Predicting Intentional Self-Harm in Electronic Health Record Clinical Notes: Deep Learning Approach." JMIR Medical Informatics 8, no. 7 (July 30, 2020): e17784. http://dx.doi.org/10.2196/17784.

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Background Suicide is an important public health concern in the United States and around the world. There has been significant work examining machine learning approaches to identify and predict intentional self-harm and suicide using existing data sets. With recent advances in computing, deep learning applications in health care are gaining momentum. Objective This study aimed to leverage the information in clinical notes using deep neural networks (DNNs) to (1) improve the identification of patients treated for intentional self-harm and (2) predict future self-harm events. Methods We extracted clinical text notes from electronic health records (EHRs) of 835 patients with International Classification of Diseases (ICD) codes for intentional self-harm and 1670 matched controls who never had any intentional self-harm ICD codes. The data were divided into training and holdout test sets. We tested a number of algorithms on clinical notes associated with the intentional self-harm codes using the training set, including several traditional bag-of-words–based models and 2 DNN models: a convolutional neural network (CNN) and a long short-term memory model. We also evaluated the predictive performance of the DNNs on a subset of patients who had clinical notes 1 to 6 months before the first intentional self-harm event. Finally, we evaluated the impact of a pretrained model using Word2vec (W2V) on performance. Results The area under the receiver operating characteristic curve (AUC) for the CNN on the phenotyping task, that is, the detection of intentional self-harm in clinical notes concurrent with the events was 0.999, with an F1 score of 0.985. In the predictive task, the CNN achieved the highest performance with an AUC of 0.882 and an F1 score of 0.769. Although pretraining with W2V shortened the DNN training time, it did not improve performance. Conclusions The strong performance on the first task, namely, phenotyping based on clinical notes, suggests that such models could be used effectively for surveillance of intentional self-harm in clinical text in an EHR. The modest performance on the predictive task notwithstanding, the results using DNN models on clinical text alone are competitive with other reports in the literature using risk factors from structured EHR data.
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Nasser, Ahmed, and Hayri Sever. "A Concept-based Sentiment Analysis Approach for Arabic." International Arab Journal of Information Technology 17, no. 5 (September 1, 2020): 778–88. http://dx.doi.org/10.34028/iajit/17/5/11.

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Concept-Based Sentiment Analysis (CBSA) methods are considered to be more advanced and more accurate when it compared to ordinary Sentiment Analysis methods, because it has the ability of detecting the emotions that conveyed by multi-word expressions concepts in language. This paper presented a CBSA system for Arabic language which utilizes both of machine learning approaches and concept-based sentiment lexicon. For extracting concepts from Arabic, a rule-based concept extraction algorithm called semantic parser is proposed. Different types of feature extraction and representation techniques are experimented among the building prosses of the sentiment analysis model for the presented Arabic CBSA system. A comprehensive and comparative experiments using different types of classification methods and classifier fusion models, together with different combinations of our proposed feature sets, are used to evaluate and test the presented CBSA system. The experiment results showed that the best performance for the sentiment analysis model is achieved by combined Support Vector Machine-Logistic Regression (SVM-LR) model where it obtained a F-score value of 93.23% using the Concept-Based-Features+Lexicon-Based-Features+Word2vec-Features (CBF+LEX+W2V) features combinations
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Liu, Yang, Shigeru Morita, Izumi Murakami, Tetsutarou Oishi, Motoshi Goto, and Xianli Huang. "Density evaluation of tungsten W24+, W25+, and W26+ ions using unresolved transition array at 27–34 Å in Large Helical Device." Japanese Journal of Applied Physics 57, no. 10 (September 18, 2018): 106101. http://dx.doi.org/10.7567/jjap.57.106101.

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Fujii, Keisuke, Daiji Kato, Nobuyuki Nakamura, Motoshi Goto, Shigeru Morita, and Masahiro Hasuo. "Experimental evaluation of fractional abundance data for W23+–W28+." Journal of Physics B: Atomic, Molecular and Optical Physics 50, no. 5 (February 14, 2017): 055004. http://dx.doi.org/10.1088/1361-6455/50/5/055004.

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Абылкалыкова, Риза Батырхановна, Людмила Иосифовна Квеглис, Бауржан Корабаевич Рахадилов, and Гульсум Сафуановна Бектасова. "Особенности массопереноса при ионной имплантации." Izvestiya of Altai State University, no. 4(108) (September 12, 2019): 11–17. http://dx.doi.org/10.14258/izvasu(2019)4-01.

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Исследованы продукты реакции, полученные при ионной имплантации азота, кислорода и фосфора в вольфрамовую мишень. Выяснены условия создания новых соединений при высокодозной имплантации, приводящей к процессам быстрого массопереноса ионов в материал мишени. Установлено, что ионная имплантация азота в вольфрам приводит к возникновению фазы внедрения W2N с ГЦК-структурой; имплантация кислорода — к образованию фазы с плотноупакованной ГЦК-структурой, близкой по структуре и параметрам к W20; фосфора — к образованию фосфида вольфрама W2P с орторомбической структурой после дополнительного отжига при температурах, превышающих 800-900 0С. Сделана оценка локального давления потока ионов на поверхность мишени, которое приводит к локальному искривлению кристаллической решетки, благодаря чему возможен быстрый массоперенос имплантированных ионов в материале мишени. Образование фаз внедрения при ионной имплантации является результатом локализации сдвиговой деформации в условиях ускоренного массопереноса. В условиях высокодозной ионной имплантации формируются высоконеравновесные пересыщенные твердые растворы, а также высокодефектные структурно-неравновесные состояния с высокой кривизной кристаллической решетки.
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Basarslan, Muhammet Sinan, and Fatih Kayaalp. "Sentiment Analysis with Machine Learning Methods on Social Media." ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 9, no. 3 (September 17, 2020): 5–15. http://dx.doi.org/10.14201/adcaij202093515.

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Social media has become an important part of our everyday life due to the widespread use of the Internet. Of the social media services, Twitter is among the most used ones around the world. People share their opinions by writing tweets about numerous subjects, such as politics, sports, economy, etc. Millions of tweets per day create a huge dataset, which drew attention of the data scientists to focus on these data for sentiment analysis. The sentiment analysis focuses to identify the social media posts of users about a specific topic and categorize them as positive, negative or neutral. Thus, the study aims to investigate the effect of types of text representation on the performance of sentiment analysis. In this study, two datasets were used in the experiments. The first one is the user reviews about movies from the IMDB, which has been labeled by Kotzias, and the second one is the Twitter tweets, including the tweets of users about health topic in English in 2019, collected using the Twitter API. The Python programming language was used in the study both for implementing the classification models using the Naïve Bayes (NB), Support Vector Machines (SVM) and Artificial Neural Networks (ANN) algorithms, and for categorizing the sentiments as positive, negative and neutral. The feature extraction from the dataset was performed using Term Frequency-Inverse Document Frequency (TF-IDF) and Word2Vec (W2V) modeling techniques. The success percentages of the classification algorithms were compared at the end. According to the experimental results, Artificial Neural Network had the best accuracy performance in both datasets compared to the others.
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Dissertations / Theses on the topic "W2v"

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Цуркан, Вячеслав Олександрович. "Технологія "Smart reply" для продукту електронної комерції з використанням технології глибинного навчання." Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2019. https://ela.kpi.ua/handle/123456789/29265.

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Дипломна робота: 54 с., 1 рис., 3 табл., 2 додатки, 12 джерел. В роботі розглядається розробка та аналіз існуючих систем smart reply за допомогою алгоритмів машинного навчання. Об’єкт дослідження – агреговані анонімізовані повідомлення з чату користувачів Африканського маркетплейсу. Предмет дослідження – методи машинного, глибинного навчання та ембедингу: W2V, NLP, кластеризація, LSTM, RNN. Мета роботи – створити продукт, проаналізувати алгоритми необхідні для його створення. Метод дослідження – розгляд та аналіз методів машинного та глибокого машинного навчання. Проведений аналіз отриманих результатів, виконано порівняльний аналіз розглянутих методів машинного навчання. Шляхи подальшого розвитку предмету дослідження – збільшити кількість вхідних даних.
Diploma work: 54 p., 1 fig., 3 tabl., 2 appendixes, 12 sources. The theme: «Smart reply technology for e-commerce product using deep learning technology». The paper considers the development and analysis of existing systems of smart reply using machine learning algorithms. The object of study – aggregated anonymous messages from the African Marketplace user chat. Subject of research - methods of machine and deep learning, embedding: W2V, NLP, clustering, LSTM, RNN. Purpose - create a product, analyze the algorithms needed to create it. The method of research - review and analysis of machine and machine learning methods. An analysis of the obtained results was carried out. The comparative analysis of the considered methods of machine learning is carried out. The further development of the research subject – to increase the amount of input data.
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Sigouin, Tara-Lynne. "W.V. Quine & Ludwig Wittgenstein, two approaches to philosophy." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ58506.pdf.

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Rane, Akshaya. "Physical Conditions in a Galactic Star forming region W22." UKnowledge, 2011. http://uknowledge.uky.edu/gradschool_theses/158.

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This document describes study of an active star forming region in our galaxy (the Milky Way) known as W22. Physical conditions in these regions can help us in understanding star formation processes in the universe and hence the structure and evolution of the universe. Zeeman effect measurements in 18 cm OH absorption line were carried out in order to estimate the line of sight magnetic field strength in the molecular cloud associated with this star forming region. Other physical parameters such as hydrogen column density, optical depth, critical magnetic field were also determined from these measurements. The region was mapped at 18 cm and the distribution of molecular gas within this star forming complex was described.
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Ventura, Montufar Hilaria, Solís Vanessa Vidal, and Gómez Daniella Zumaeta. "Plan de marketing de la marca I Wuv You." Master's thesis, Universidad del Pacífico, 2017. http://hdl.handle.net/11354/2155.

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La presente investigación detalla un plan de marketing que busca evaluar el lanzamiento de una nueva marca de accesorios para canes en Lima Metropolitana, cuya propuesta de valor radica en la calidad, moda, y responsabilidad social contra el maltrato y abandono de canes y medio ambiente, a través de la venta por medio de una plataforma de comercio electrónico donde se ofrecerán experiencias convenientes, informativas y personalizadas. La investigación de mercado se basó en la investigación exploratoria y concluyente, para la cual se realizaron entrevistas de profundidad a expertos, así como en una encuesta a compradores potenciales. El objetivo fue estimar la demanda potencial, medios de consumos de publicidad, canal de venta, frecuencia de compra y conocer el grado de aceptación de la propuesta de valor de I Wuv You, para determinar nuestro mercado objetivo. Este está comprendido por personas habitantes en los distritos seis y siete en Lima Metropolitana y pertenecientes a los NSE A y B, pensadores e interesados en la calidad, moda y responsabilidad social. El objetivo de marketing para I Wuv You es introducir una nueva marca en la categoría de accesorios de canes, con una nueva propuesta que logre en el plazo de cuatro años el liderazgo dentro de la categoría. La estrategia genérica elegida para este proyecto es el de enfoque en diferenciación, debido a que nos orientamos a un segmento específico y los productos que I Wuv You ofrecerá serán percibidos como exclusivos, diferenciándose de la competencia por su preocupación social referente a los canes y al medio ambiente. La fijación de precios será con base en el valor percibido; para ello, se ha establecido un programa en la comunicación para incrementar la percepción de valor en la mente de los compradores. El análisis económico determinó que la implementación de este plan de marketing es viable, poco riesgoso y que genera utilidades desde el primer año.
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Muñoz, Alonso Aroa. "Efeitos agudos de três técnicas de alongamento na acuidade propiocetiva do joelho." Bachelor's thesis, [s.n.], 2019. http://hdl.handle.net/10284/8795.

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Projeto de Graduação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Licenciada em Fisioterapia
Objetivo: Estudar o efeito de três técnicas de alongamento: alongamento estático (AE), alongamento estático mais vibração de corpo inteiro (AEV) e alongamento de cadeia estática (CE) na acuidade propriocetiva do joelho, nomeadamente no senso da posição articular (SPA). Metodologia: foi realizado um estudo experimental, randomizado, e controlado, com 41 adultos saudáveis (25 mulheres) distribuídos aleatoriamente por quatro grupos: grupo de AE (5 repetições de 60 segundos); grupo de AEV (5 repetições de 60 segundos, 30 Hz a baixa amplitude); grupo de CE (5 minutos de alongamento); grupo de controlo (GC) (5 minutos de repouso). Realizou-se uma avaliação de SPA do joelho antes e depois de cada protocolo (45º para a flexão e extensão do joelho). Resultados: não foram encontradas alterações significativas (p>0.05) para o SPA do joelho em nenhum dos grupos estudados. Conclusão: a aplicação das três técnicas de alongamento estudadas não altera significativamente a acuidade propriocetiva do joelho.
Objective: to study the effect of three stretching techniques: static stretching (SS), static stretching plus whole-body vibration (SSWBV) and static chain stretching (SC) in the knee proprioceptive acuity, namely in the joint position sense (JPS). Methods: A randomized controlled trial was conducted with 41 healthy adults (25 women) randomly assigned to four groups: SS group (5 repetitions of 60 seconds); SSWBV group (5 repetitions of 60 seconds, 30 Hz to low amplitude); SC group (5 minutes stretching); and a control group (GC) (5 minutes rest). A knee JPS evaluation was performed before and after each protocol (45º for knee flexion and extension). Results: no significant changes (P> 0.05) were found for knee JPS in any of the studied groups. Conclusion: the application of the three stretching techniques studied does not significantly alter the knee proprioceptive acuity.
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Mehner, Silke. "Zur Ökologie des Wheat dwarf virus (WDV) in Sachsen-Anhalt." [S.l.] : [s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=980344786.

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Font, Andreea. "Shocked molecular gas in three supernova remnants, W28, W44, 3C391." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ56709.pdf.

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Santos, Luciane Amorim. "Uso de ferramentas de bioinformática para estudos de epidemiologia molecular, filogeografia e filodinâmica viral." reponame:Repositório Institucional da FIOCRUZ, 2010. https://www.arca.fiocruz.br/handle/icict/4237.

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Submitted by Ana Maria Fiscina Sampaio (fiscina@bahia.fiocruz.br) on 2012-07-23T21:39:24Z No. of bitstreams: 1 Luciane Amorim Santos Uso de ferramentas de bioinformática....pdf: 5329323 bytes, checksum: b477ef604e538000e5f8d84e1188ae91 (MD5)
Made available in DSpace on 2012-07-23T21:39:24Z (GMT). No. of bitstreams: 1 Luciane Amorim Santos Uso de ferramentas de bioinformática....pdf: 5329323 bytes, checksum: b477ef604e538000e5f8d84e1188ae91 (MD5) Previous issue date: 2010
Fundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, Bahia, Brasil
As ferramentas de bioinformática tem sido amplamente utilizada para o melhor entendimento de diversos microorganismos. Neste trabalho foram realizados três estudos utilizando estas ferramentas para avaliar diferentes questões biológicas. No primeiro estudo realizou-se uma caracterização molecular de 57 sequências do gene pol, provenientes de pacientes infectados pelo HIV-1 de Salvador, Bahia, Brasil. Para identificar os subtipos e formas recombinantes do HIV-1 circulante na cidade de Salvador foi realizado análises filogenéticas, e através do algoritmo do banco de dados Stanford HIV resistance as mutações associadas à resistência aos ARVs foram detectadas. Entre as 57 sequências analisadas foram identificados neste estudo 45 (77,2%) pertencem ao subtipo B, 11 (21,0%) recombinantes BF e uma (1,8%) do subtipo F1. Além disto, uma alta frequência de eventos de recombinação entre os subtipos B e F foram detectados com 5 padrões de recombinação, duas intergênicas e três intragênicas, mostrando uma alta diversidade. As mutações encontradas com uma maior prevalência foram: I54V (PI) em 7,0%; M184V (NRTI) em 14,0% e K103N (NNRTI) em 10,5% das sequências analisadas. Estes resultados contribuem para traçar o perfil da epidemiologia molecular e diversidade do HIV-1 em Salvador. O segundo estudo avaliou a filodinâmica do HIV-1 em pares de mãe e filho infectados, e em diferentes fases da infecção, três pares na fase aguda e um na fase crônica, e que apresentavam sequências de diferentes tempos. Para este fim foi realizado inferências filogenéticas bayesianas, onde a hipótese do relógio molecular e de diferentes crescimentos populacional foram testadas. Não foi possível observar uma diferença entre a dinâmica da população viral da mãe e a encontrada no filho. Porém, quando observamos o crescimento populacional e o tamanho da população efetiva, ao longo do tempo, sequências provenientes de pares em fase crônica da infecção tem um crescimento mais constante, enquanto as sequências dos pares na fase aguda da infecção se observa uma dinâmica das populações virais, provavelmente devido à pressão do sistema imune e a não adaptação destes vírus. No terceiro estudo, 104 sequências do genoma completo do WNV, disponíveis no Genebank, foram estudadas para identificar a região genômica que apresenta máximo poder interpretativo para inferir relações temporais e geográficas entre as cepas do vírus. Alinhamentos de cada gene foram submetidos à avaliação do sinal filogenético através do programa TREEPUZZEL. As regiões NS3 e NS4 apresentaram um sinal filogenético acima de 70%, sendo as regiões mais indicadas para construção filogenética. Além disto, árvores bayesianas foram inferidas utilizando as regiões NS3, NS5 e E, onde os clados das árvores NS3 e NS5 apresentaram um maior suporte e estrutural temporal geográfica, diferente da região E. Estes achados mostram que os genes NS3 e NS5 são os mais indicados para análises filogenéticas. Neste trabalho foi demonstrando o uso de ferramentas de bioinformática para a melhor caracterização da diversidade, epidemiologia molecular, dinâmica populacional e determinação das relações temporal e geográfica dos vírus.
The bioinformatics tools have been widely used for better understanding of several microorganisms. Here three studies were performed using these tools to answer different biological questions. In the first study, it was conducted the molecular characterization of 57 HIV-1 pol gene sequences from infected patients from Salvador, Bahia, Brazil. To identify the HIV-1 subtypes and recombinants forms, phylogenetics analyses were performed and the Stanford HIV resistance Database were used to analyze the antiretroviral susceptibility. Among all analyzed sequences, 45 of them were (77.2%) subtype B, 11 (21.0%) were BF recombinant and one sequence was (1.8%) subtype F1. Furthermore, a high frequency of recombination events between subtypes B and F was detected with five different patterns: two intergenic and three intragenic. The mutations found with higher prevalence were: I54V (PI) in 7.0%; M184V (NRTI) in 14.0% and K103N (NNRTI) in 10.5% of the analyzed sequences. These results contribute for the knowledge of the molecular epidemiology and diversity of HIV-1 in Salvador. The second study have evaluated the HIV-1 phylodynamics in mother and child infected pairs in different stages of infections: three pairs acutely infected and one chronically infected. Phylogenetic inference was performed using the Bayesian framework were the molecular clock and different population growth models hypothesis were tested. We did not find any difference of the population dynamics between mother and child. However, when observing the population growth and the effective population size through time, the chronically infected pair sequences showed a constant growth, while the acutely infected pair sequences showed a more dynamic population growth, probably due to the immune system selective pressure. In the third study, 104 WNV full genome sequences were selected from Genbank, to identify the best genomic region, which could provide the maximal interpretative power to infer temporal and geographic relationships among the virus strains. The phylogenetic signal was evaluated using the TREEPUZZEL program. The results showed that the NS3 and NS5 regions are the best ones to infer phylogeny since their phylogenetic signal was higher than 70%. Furthermore, Bayesian trees were constructed using the NS3, NS5 and E regions, and the NS3 and NS5 tree clades showed a higher support and a temporal geographic structure, different from the E region. These findings show that the NS3 and NS5 genes are the most informative genes for phylogenetic analyses. These studies demonstrated the use of bioinformatics tools for the better characterization of the virus diversity, molecular epidemiology, and population dynamics.
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Reed, Andrew J. "Biogeography of West Nile Virus in Ohio." Bowling Green State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1609806272985721.

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Троснікова, Ірина Юріївна. "Спрямовано армовані композиційні матеріали систем Mo- Si-В, WC-W2C поліфункціонального призначення." Doctoral thesis, Київ, 2014. https://ela.kpi.ua/handle/123456789/9776.

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Books on the topic "W2v"

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A, Naglieri Jack, and Hardy-Braz Steven T, eds. Essentials of WNV assessment. Hoboken, N.J: J. Wiley, 2009.

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Quine, W. V. In conversation: W.V. Quine.. London: Philosophy International, London School of Economics and Political Science, 1994.

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Elliott, David. Wuv Bunnies from Outers Pace. New York: Holiday House, 2008.

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Canton, William. The invisible playmate & W.V. her book. London: Isbister & Co., Ltd., 1987.

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Grünsteudel, Günther. Erna Woll: Ein werkverzeichnis : Woll-Werke-Verzeichnis (WWV). Augsburg: B. Wissner, 1996.

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Goethe, Kant, W.v. Humboldt: Zur Aktualität der deutschen Klassik. Frankfurt am Main: P. Lang, 1997.

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Jarrell, Carrie Lou. Mordue Cemetery, Whitesville, WV. Sylvester, WV (P.O. Box 174, Sylvester 25209): C&J Genealogy, 1997.

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Robe-Terry, Anna Lee. VA/WV Shuttlesworth search. Parsons, WV: A.L. Terry, 2001.

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Enlightened empiricism: An examination of W.V. Quine's theory of knowledge. Gainesville, FL: University Presses of South Florida, 1988.

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Peterson, Rose W. Spring Hill Cemetery, Charleston, WV. Nitro, WV (15 Barrington Rd., Nitro 25143): Peterson Quality Associates, 1995.

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Book chapters on the topic "W2v"

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Jedrzejowicz, Joanna, and Magdalena Zakrzewska. "Text Classification Using LDA-W2V Hybrid Algorithm." In Intelligent Decision Technologies 2019, 227–37. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8311-3_20.

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Villars, P., K. Cenzual, J. Daams, R. Gladyshevskii, O. Shcherban, V. Dubenskyy, N. Melnichenko-Koblyuk, et al. "W2N." In Landolt-Börnstein - Group III Condensed Matter, 319. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-44752-8_242.

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Villars, P., K. Cenzual, J. Daams, R. Gladyshevskii, O. Shcherban, V. Dubenskyy, N. Melnichenko-Koblyuk, et al. "W2C." In Landolt-Börnstein - Group III Condensed Matter, 535. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-44752-8_443.

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Shin, Changhwan. "Work Function Variation (WFV)." In Variation-Aware Advanced CMOS Devices and SRAM, 53–67. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-017-7597-7_4.

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Bialasiewicz, Seweryn. "Human Polyomaviruses – KIV and WUV." In PCR for Clinical Microbiology, 295–97. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9039-3_46.

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Throsby, Mark, Jaap Goudsmit, and John de Kruif. "The Human Antibody Response Against WNV." In West Nile Encephalitis Virus Infection, 401–16. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-79840-0_18.

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Liu, Qingzhong, Andrew H. Sung, and Mengyu Qiao. "Spectrum Steganalysis of WAV Audio Streams." In Machine Learning and Data Mining in Pattern Recognition, 582–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03070-3_44.

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Peška, Ladislav, Gregor Kovalčík, Tomáš Souček, Vít Škrhák, and Jakub Lokoč. "W2VV++ BERT Model at VBS 2021." In MultiMedia Modeling, 467–72. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67835-7_46.

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Locarnini, Stephen A., and Michael Roggendorf. "Other Hepadnaviridae (Avihepadnaviridae (DHBV) and Orthohepadnaviridae (WHV))." In Viral Hepatitis, 96–106. Oxford, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118637272.ch7.

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Kaufman, Alex H. "WEV: A New Approach to Supply Chain Management." In Management Models for Corporate Social Responsibility, 75–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-33247-2_9.

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Conference papers on the topic "W2v"

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Randall, Thomas, Tyler Allen, and Rong Ge. "FULL-W2V." In ICS '21: 2021 International Conference on Supercomputing. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3447818.3460373.

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Kottur, Satwik, Ramakrishna Vedantam, Jose M. F. Moura, and Devi Parikh. "VisualWord2Vec (Vis-W2V): Learning Visually Grounded Word Embeddings Using Abstract Scenes." In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2016. http://dx.doi.org/10.1109/cvpr.2016.539.

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Herurkar, Dayananda, Philipp Blandfort, Federico Raue, Jorn Hees, and Andreas Dengel. "ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs." In 2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021. http://dx.doi.org/10.1109/ijcnn52387.2021.9533721.

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Chung, Yu-An, Yu Zhang, Wei Han, Chung-Cheng Chiu, James Qin, Ruoming Pang, and Yonghui Wu. "w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training." In 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). IEEE, 2021. http://dx.doi.org/10.1109/asru51503.2021.9688253.

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Bouallaga, Anouar, Asma Merdassi, Arnaud Davigny, Benoit Robyns, and Vincent Courtecuisse. "Minimization of energy transmission cost and CO2 emissions using coordination of electric vehicle and wind power (W2V)." In 2013 IEEE Grenoble PowerTech. IEEE, 2013. http://dx.doi.org/10.1109/ptc.2013.6652299.

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Abdo, Thiago, and Fabiano Silva. "Iterative machine learning applied to annotation of text datasets." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/eniac.2021.18268.

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Abstract:
The purpose of this paper is to analyze the use of different machine learning approaches and algorithms to be integrated as an automated assistance on a tool to aid the creation of new annotated datasets. We evaluate how they scale in an environment without dedicated machine learning hardware. In particular, we study the impact over a dataset with few examples and one that is being constructed. We experiment using deep learning algorithms (Bert) and classical learning algorithms with a lower computational cost (W2V and Glove combined with RF and SVM). Our experiments show that deep learning algorithms have a performance advantage over classical techniques. However, deep learning algorithms have a high computational cost, making them inadequate to an environment with reduced hardware resources. Simulations using Active and Iterative machine learning techniques to assist the creation of new datasets are conducted. For these simulations, we use the classical learning algorithms because of their computational cost. The knowledge gathered with our experimental evaluation aims to support the creation of a tool for building new text datasets.
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Hoang, Tuan-Anh, Khoi Duy Vo, and Wolfgang Nejdl. "W2E." In CIKM '18: The 27th ACM International Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3269206.3269309.

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Orăsan, Constantin, and Iustin Dornescu. "WLV." In the 2009 Workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1708155.1708177.

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Li, Xirong, Chaoxi Xu, Gang Yang, Zhineng Chen, and Jianfeng Dong. "W2VV++." In MM '19: The 27th ACM International Conference on Multimedia. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3343031.3350906.

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"WRV author index." In 2013 IEEE Workshop on Robot Vision (WORV 2013). IEEE, 2013. http://dx.doi.org/10.1109/worv.2013.6521946.

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Reports on the topic "W2v"

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DG Horton and VG Johnson. Borehole data package for wells 299-W22-48, 299-W22-49, and 299-W22-50 at single-shell tank waste management Area S-SX. Office of Scientific and Technical Information (OSTI), May 2000. http://dx.doi.org/10.2172/755084.

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Horton, Duane G., and V. G. Johnson. Borehole Data Package for Wells 299-W22-48, 299-W22-49, and 299-W22-50 at Single-Shell Tank Waste Management Area S-SX. Office of Scientific and Technical Information (OSTI), May 2000. http://dx.doi.org/10.2172/15002708.

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Lovelace, Edward C. The Water-to-Wire (W2W) Project. Office of Scientific and Technical Information (OSTI), November 2011. http://dx.doi.org/10.2172/1219491.

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Lissner, Daniel N., and Lovelace C. Edward. Final Technical Report: The Water-to-Wire (W2W) Project. Office of Scientific and Technical Information (OSTI), December 2013. http://dx.doi.org/10.2172/1111482.

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DG Horton and BA Williams. Borehole Data Package for 216-U-12 Crib Well 299-W22-79. Office of Scientific and Technical Information (OSTI), March 1999. http://dx.doi.org/10.2172/4719.

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Horton, Duane G., Barbara A. Williams, and Christopher S. Cearlock. Borehole Data Package for the 216-S-10 Pond and Ditch Well 299-W26-13. Office of Scientific and Technical Information (OSTI), June 2000. http://dx.doi.org/10.2172/781054.

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DG Horton, BA Williams, and CS Cearlock. Borehole data package for the 216-S-10 pond and ditch well 299-W26-13. Office of Scientific and Technical Information (OSTI), June 2000. http://dx.doi.org/10.2172/755929.

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MYERS, D. A. Technetium-99 in Groundwater at Hanford Well 299-W23-19 Option Analysis & Recommended Action Report. Office of Scientific and Technical Information (OSTI), April 2002. http://dx.doi.org/10.2172/807942.

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Sniezek, Frank. Environmental Assessment: QUEF 03-0020 Add to CES Det1 Bldg. 600, Morgantown, WV 101 Hart Field Road, Morgantown, WV 26505. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada633775.

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Binette, Joanne, and Kadeem Thorpe. Livability for All in Greater Kanawha Valley, WV: Infographic. AARP Research, October 2017. http://dx.doi.org/10.26419/res.00055.044.

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