Tecnologia en Marcha最新文献_第10页

Colorectal cancer vaccines: in silico identification of tumor-specific antigens associated with frequent HLA-I alleles in the costa rican Central Valley population 结直肠癌疫苗:哥斯达黎加中央谷人群中与频繁hla - 1等位基因相关的肿瘤特异性抗原的计算机鉴定

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6458

Diego Morazán-Fernández, J. Molina-Mora

{"title":"Colorectal cancer vaccines: in silico identification of tumor-specific antigens associated with frequent HLA-I alleles in the costa rican Central Valley population","authors":"Diego Morazán-Fernández, J. Molina-Mora","doi":"10.18845/tm.v35i8.6458","DOIUrl":"https://doi.org/10.18845/tm.v35i8.6458","url":null,"abstract":"Colorectal cancer is a complex disease in which uncontrolled growth of abnormal cells occurs in the large intestine (colon or rectum). The study of tumor-specific antigens (neoantigens), molecules that interact with the immune system, has been extensively explored as a possible therapy called in silico cancer vaccine. Cancer vaccine studies have been triggered by the current high-throughput DNA sequencing technologies. However, there is no universal bioinformatic protocol to study tumor-antigens with DNA sequencing data. \u0000We propose a bioinformatic protocol to detect tumor-specific antigens associated with single nucleotide variants (SNVs) or “mutations” in colorectal cancer and their interaction with frequent HLA alleles (complex that present antigens to immune cells) in the Costa Rican Central Valley population. We used public data of human exome (DNA regions that produce functional products, including proteins). A variant calling analysis was implemented to detect tumorspecific SNVs, in comparison to healthy tissue. We then predicted and analyzed the peptides (protein fragments, the tumor specific antigens) derived from these variants, in the context of its affinity with frequent alleles of HLA type I of the Costa Rican population. \u0000We found 28 non-silent SNVs, present in 26 genes. The protocol yielded 23 strong binders peptides derived from the SNVs for frequent alleles (greater than 8%) for the Costa Rican population at the HLA-A, B and C loci. It is concluded that the standardized protocol was able to identify neoantigens and this can be considered a first step for the eventual design of a colorectal cancer vaccine for Costa Rican patients. To our knowledge, this is the first study of an in silico cancer vaccine using DNA sequencing data in the context of the Costa Rican HLA alleles.","PeriodicalId":42957,"journal":{"name":"Tecnologia en Marcha","volume":"18 1","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74864263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing the effectiveness of diarization algorithms in costa rican children-adult speech according to age group and gender 根据年龄和性别评估哥斯达黎加儿童-成人语言的词频化算法的有效性

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6443

Alejandro Chacón-Vargas, Daniel Pérez-Conejo, Marvin Coto-Jiménez

引用次数: 0

An experimental study on footsteps sound recognition as biometric under noisy conditions 噪声条件下脚步声生物识别的实验研究

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6467

Marisol Zeledón-Córdoba, Carolina Paniagua Peñaranda, Marvin Coto-Jiménez

引用次数: 0

GPU based approach for fast generation of robot capability representations 基于GPU的机器人能力表征快速生成方法

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6449

Daniel García Vaglio, Federico Ruiz Ugalde

引用次数: 0

The impact of social media messages on Parkinson’s disease treatment: detecting genuine sentiment in patient notes 社交媒体信息对帕金森病治疗的影响:从病人的笔记中发现真实的情绪

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6441

Hanane Grissette, El Habib Nfaoui

{"title":"The impact of social media messages on Parkinson’s disease treatment: detecting genuine sentiment in patient notes","authors":"Hanane Grissette, El Habib Nfaoui","doi":"10.18845/tm.v35i8.6441","DOIUrl":"https://doi.org/10.18845/tm.v35i8.6441","url":null,"abstract":"Parkinson’s Disease(PD), one of the most serious neurodegenerative diseases that known huge controversy on social networks. Following medical lexicons, few approaches have been extended to leverage sentiment information that obviously reflects the patient’s health status in terms of related-narratives observations. It is been crucial to analyze online narratives and detect sentiment in patients’ self-reports. In this paper, we propose an automatic concept-level neural network method to distilling genuine sentiment in patients’ notes as medical polar facts into true positives and true negatives. Towards building emotional Parkinsonism assisted method from Parkinson’s Disease daily narratives di- gests, we characterize polar facts of defined medical configuration space through distributed biomedical representation at the concept-level as- sociated with real-world entities, which are operated to quantifying the emotional status of the speaker context. We conduct comparisons with state-of-art neural networks algorithms and biomedical distributed systems. Finally, as a result, we achieve an 85.3% accuracy performance, and the approach shows a well-understanding of medical natural language concepts.","PeriodicalId":42957,"journal":{"name":"Tecnologia en Marcha","volume":"31 1","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74261953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automatic diagnosis of lower back pain using gait patterns 使用步态模式的腰痛自动诊断

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6459

Chandrasen Pandey, Neeraj Baghel, Malay Kishore-Dutta, Carlos M. Travieso González

引用次数: 0

A deep learning approach for epilepsy seizure detection using EEG signals 基于脑电图信号的深度学习癫痫发作检测方法

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6461

Manoj Kaushik, Divyanshu Singh, Malay Kishore-Dutta, Carlos M. Travieso

引用次数: 0

Application of Fischer semi discriminant analysis for speaker diarization in costa rican radio broadcasts Fischer半判别分析在哥斯达黎加无线电广播中的应用

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6464

Roberto Sánchez Cárdenas, Marvin Coto-Jiménez

{"title":"Application of Fischer semi discriminant analysis for speaker diarization in costa rican radio broadcasts","authors":"Roberto Sánchez Cárdenas, Marvin Coto-Jiménez","doi":"10.18845/tm.v35i8.6464","DOIUrl":"https://doi.org/10.18845/tm.v35i8.6464","url":null,"abstract":"Automatic segmentation and classification of audio streams is a challenging problem, with many applications, such as indexing multi – media digital libraries, information retrieving, and the building of speech corpus or spoken corpus) for particular languages and accents. Those corpus is a database of speech audio files and the corresponding text transcriptions. Among the several steps and tasks required for any of those applications, the speaker diarization is one of the most relevant, because it pretends to find boundaries in the audio recordings according to who speaks in each fragment. Speaker diarization can be performed in a supervised or unsupervised way and is commonly applied in audios consisting of pure speech. In this work, a first annotated dataset and analysis of speaker diarization for Costa Rican radio broadcasting is performed, using two approaches: a classic one based on k-means clustering, and the more recent Fischer Semi Discriminant. We chose publicly available radio broadcast and decided to compare those systems’ applicability in the complete audio files, which also contains some segments of music and challenging acoustic conditions. Results show a dependency on the results according to the number of speakers in each broadcast, especially in the average cluster purity. The results also show the necessity of further exploration and combining with other classification and segmentation algorithms to better extract useful information from the dataset and allow further development of speech corpus.","PeriodicalId":42957,"journal":{"name":"Tecnologia en Marcha","volume":"3 1","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76030449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Artificial Intelligence based Multi-sensor COVID-19 Screening Framework 基于人工智能的多传感器COVID-19筛查框架

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6460

Rakesh Chandra-Joshi, Malay Kishore-Dutta, Carlos M. Travieso

{"title":"Artificial Intelligence based Multi-sensor COVID-19 Screening Framework","authors":"Rakesh Chandra-Joshi, Malay Kishore-Dutta, Carlos M. Travieso","doi":"10.18845/tm.v35i8.6460","DOIUrl":"https://doi.org/10.18845/tm.v35i8.6460","url":null,"abstract":"Many countries are struggling for COVID-19 screening resources which arises the need for automatic and low-cost diagnosis systems which can help to diagnose and a large number of tests can be conducted rapidly. Instead of relying on one single method, artificial intelligence and multiple sensors based approaches can be used to decide the prediction of the health condition of the patient. Temperature, oxygen saturation level, chest X-ray and cough sound can be analyzed for the rapid screening. The multi-sensor approach is more reliable and a person can be analyzed in multiple feature dimensions. Deep learning models can be trained with multiple chest x-ray images belonging to different categories to different health conditions i.e. healthy, COVID-19 positive, pneumonia, tuberculosis, etc. The deep learning model will extract the features from the input images and based on that test images will be classified into different categories. Similarly, cough sound and short talk can be trained on a convolutional neural network and after proper training, input voice samples can be differentiated into different categories. Artificial based approaches can help to develop a system to work efficiently at a low cost.","PeriodicalId":42957,"journal":{"name":"Tecnologia en Marcha","volume":"20 1","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77896397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Análisis cualitativo y cuantitativo de fosfatos de calcio por difracción de rayos-X mediante los métodos de Scherrer, Williamson-Hall y refinamiento de Rietveld 用Scherrer、Williamson-Hall和Rietveld细化法对磷酸钙进行x射线衍射定性和定量分析

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Tecnologia en Marcha Pub Date : 2022-09-30 DOI: 10.18845/tm.v35i4.5664

Alexánder Campos-Quirós, Kenneth Paniagua-Murillo, Gerardo Valladares-Castrillo, Jorge M. Cubero-Sesin, Luis Cordero-Arias

{"title":"Análisis cualitativo y cuantitativo de fosfatos de calcio por difracción de rayos-X mediante los métodos de Scherrer, Williamson-Hall y refinamiento de Rietveld","authors":"Alexánder Campos-Quirós, Kenneth Paniagua-Murillo, Gerardo Valladares-Castrillo, Jorge M. Cubero-Sesin, Luis Cordero-Arias","doi":"10.18845/tm.v35i4.5664","DOIUrl":"https://doi.org/10.18845/tm.v35i4.5664","url":null,"abstract":"Los fosfatos de calcio son materiales biocerámicos de gran importancia utilizados en el área de recubrimientos bioactivos para implantes metálicos. En el presente estudio, una muestra de fosfatos de calcio fue sintetizada mediante el método de precipitación química a partir de Ca(NO3)2 y (NH4)2HPO4. La técnica de difracción de rayos-X fue utilizada para realizar un análisis cualitativo y cuantitativo de las fases cristalinas presentes en el material mediante los métodos de Scherrer, Williamson-Hall y Rietveld. Se determinó que la muestra está constituida en un 75 % en masa de monetita (CaHPO4) y un 25 % en masa de brushita (CaHPO4.H2O), con tamaños promedio de cristalito en el orden submicrométrico. El análisis mediante microscopia electrónica de barrido muestra que las partículas se encuentran altamente aglomeradas, con un tamaño promedio de 2,8 ± 1 µm y morfología variada. El análisis elemental por espectroscopia de energía dispersiva de rayos-X reveló una relación molar calcio/fósforo (Ca/P) promedio de 0,95, lo cual concuerda con las fases cristalinas de monetita y brushita. Por último, la presencia de ambas fases se debe principalmente a los bajos niveles de pH durante la reacción y al secado de la muestra posterior al proceso de síntesis.","PeriodicalId":42957,"journal":{"name":"Tecnologia en Marcha","volume":"1 1","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75594070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0