Journal of Computational and Theoretical Nanoscience最新文献

The 'Insertion/Deletion' Polymorphism, rs4340 and Diabetes Risk: A Pilot Study from a Hospital Cohort. 插入/缺失 "多态性 rs4340 与糖尿病风险：一项来自医院队列的试点研究。

IF 2.1

Journal of Computational and Theoretical Nanoscience Pub Date : 2024-01-01 Epub Date: 2022-07-26 DOI: 10.1007/s12291-022-01076-2

Manali Shah, Anjali Gupta, Mitali Talekar, Krishna Chaaithanya, Priyanka Doctor, Sandra Fernandes, Rahul Doctor, A Rosalind Marita

{"title":"The 'Insertion/Deletion' Polymorphism, rs4340 and Diabetes Risk: A Pilot Study from a Hospital Cohort.","authors":"Manali Shah, Anjali Gupta, Mitali Talekar, Krishna Chaaithanya, Priyanka Doctor, Sandra Fernandes, Rahul Doctor, A Rosalind Marita","doi":"10.1007/s12291-022-01076-2","DOIUrl":"10.1007/s12291-022-01076-2","url":null,"abstract":"The insertion/deletion, I/D polymorphism, in the gene encoding Angiotensin Converting Enzyme, ACE is a popular genetic marker for cardiovascular disease, CVD. With alarming rise in diabetes, the risk of CVD among Indian subjects is further enhanced. The present study explored the role of ACE I/D polymorphism, rs4340 as a genetic marker and its association with diabetes. Genomic DNA, isolated from a cohort of 410 urban subjects attending our hospital, was genotyped using polymerase chain reaction followed by electrophoresis. Among the subjects, 84 had type-2 diabetes and 68 had hypertension while 258 were free from these risk factors. Majority (57/84) of diabetic subjects were also suffering from hypertension. Genotype frequencies of ACE I/D polymorphism, of diabetic (84) patients were not different from that of non-diabetic subjects (258). In sharp contrast, we found significant differences, in genotype frequencies of women with diabetes (n = 38) compared to non-diabetic women (70). Diabetic women had significantly higher prevalence of the high risk 'D' allele. Analysis of odds ratio, OR revealed that women with 'D/D' genotype, exhibited threefold risk (OR 3.12, 95% CI 1.21-8.05; p = 0.018) of diabetes, in the recessive model (D/D vs I/I + I/D). Further when we analysed Odds ratio of diabetic women (8) who were free from hypertension, the results revealed even a greater, 6- fold (OR 6.0, 95% CI 1.29-27.96, p = 0.027) risk of diabetes for D/D homozygous women (D/D vs I/I + I/D). These results suggest 'sex-specific' association of ACE 'I/D' polymorphism, with type-2 diabetes, affecting women while there was no influence observed among men. In view of the increased cardiovascular mortality among Indians, data from our pilot study if confirmed in a larger cohort, could add value to our future intervention efforts.","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":"8 1","pages":"124-129"},"PeriodicalIF":2.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10784238/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86567568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reincluding: Providing Support to Reengage Youth who Truant in Secondary Schools. 重新融入：为中学逃学青少年提供重新融入社会的支持。

Journal of Computational and Theoretical Nanoscience Pub Date : 2022-10-03 eCollection Date: 2022-01-01 DOI: 10.5334/cie.47

Delia Baskerville

引用次数: 0

Eosinophil cationic protein (ECP) correlates with eosinophil cell counts in the induced sputum of elite swimmers. 嗜酸性粒细胞阳离子蛋白（ECP）与精英游泳运动员诱导痰中的嗜酸性粒细胞数量相关。

Journal of Computational and Theoretical Nanoscience Pub Date : 2022-05-18 eCollection Date: 2022-03-01 DOI: 10.1097/j.pbj.0000000000000155

Inês Paciência, Ana Rita Rocha, Mariana Farraia, Oksana Sokhatska, Luís Delgado, Mariana Couto, Andre Moreira

{"title":"Eosinophil cationic protein (ECP) correlates with eosinophil cell counts in the induced sputum of elite swimmers.","authors":"Inês Paciência, Ana Rita Rocha, Mariana Farraia, Oksana Sokhatska, Luís Delgado, Mariana Couto, Andre Moreira","doi":"10.1097/j.pbj.0000000000000155","DOIUrl":"10.1097/j.pbj.0000000000000155","url":null,"abstract":"Introduction: Swimming practice has been associated with eosinophilic inflammation, however, the underlying mechanisms are not fully understood. The eosinophil cationic protein (ECP) in induced sputum may be used as a potential biomarker to assess airway eosinophilic inflammation among elite swimmers. The objective of this study is to characterize ECP levels in sputum supernatant in elite swimmers and evaluate ECP as an eosinophilic inflammatory marker.Material and methods: Elite swimmers annually screened in our department (n = 27) were invited to participate in this cross-sectional study. Swimmers who agreed to participate (n = 24, 46% girls) performed lung function and skin-prick tests. Induced sputum was also collected and analyzed for differential cell counts and ECP measurements in sputum supernatant (ImmunoCAPTM 100, ECP, Thermo Fisher Scientific, Uppsala, Sweden).Results: The median ECP level was 15.60 μg/L (6.02-38.75 μg/L) and higher levels were found among boys (27.90 (11.20-46.30) μg/L vs 6.65 (2.82-22.80) μg/L, P = .02). In addition, ECP levels in the sputum supernatant were positively correlated with eosinophil cell counts in the induced sputum (r = 0.583, P = .08).Conclusions: ECP levels correlated positively with eosinophil counts in the induced sputum in elite swimmers. The measurement of ECP in sputum supernatant may be a useful marker to assess and manage eosinophilic inflammatory changes in the airways of elite swimmers.","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":"13 1","pages":"e155"},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10830069/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86637843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Synergic action of an inserted carbohydrate-binding module in a glycoside hydrolase family 5 endoglucanase. 糖苷水解酶家族 5 内切葡聚糖酶中插入的碳水化合物结合模块的协同作用。

IF 2.6

Journal of Computational and Theoretical Nanoscience Pub Date : 2022-05-01 Epub Date: 2022-04-20 DOI: 10.1107/S2059798322002601

Ting Juan Ye, Kai Fa Huang, Tzu Ping Ko, Shih Hsiung Wu

{"title":"Synergic action of an inserted carbohydrate-binding module in a glycoside hydrolase family 5 endoglucanase.","authors":"Ting Juan Ye, Kai Fa Huang, Tzu Ping Ko, Shih Hsiung Wu","doi":"10.1107/S2059798322002601","DOIUrl":"10.1107/S2059798322002601","url":null,"abstract":"Most known cellulase-associated carbohydrate-binding modules (CBMs) are attached to the N- or C-terminus of the enzyme or are expressed separately and assembled into multi-enzyme complexes (for example to form cellulosomes), rather than being an insertion into the catalytic domain. Here, by solving the crystal structure, it is shown that MtGlu5 from Meiothermus taiwanensis WR-220, a GH5-family endo-β-1,4-glucanase (EC 3.2.1.4), has a bipartite architecture consisting of a Cel5A-like catalytic domain with a (β/α)8 TIM-barrel fold and an inserted CBM29-like noncatalytic domain with a β-jelly-roll fold. Deletion of the CBM significantly reduced the catalytic efficiency of MtGlu5, as determined by isothermal titration calorimetry using inactive mutants of full-length and CBM-deleted MtGlu5 proteins. Conversely, insertion of the CBM from MtGlu5 into TmCel5A from Thermotoga maritima greatly enhanced the substrate affinity of TmCel5A. Bound sugars observed between two tryptophan side chains in the catalytic domains of active full-length and CBM-deleted MtGlu5 suggest an important stacking force. The synergistic action of the catalytic domain and CBM of MtGlu5 in binding to single-chain polysaccharides was visualized by substrate modeling, in which additional surface tryptophan residues were identified in a cross-domain groove. Subsequent site-specific mutagenesis results confirmed the pivotal role of several other tryptophan residues from both domains of MtGlu5 in substrate binding. These findings reveal a way to incorporate a CBM into the catalytic domain of an existing enzyme to make a robust cellulase.","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":"13 1","pages":"633-646"},"PeriodicalIF":2.6,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9063844/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86632754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Prognostic impact of prior cardiopathy in patients hospitalized with COVID-19 pneumonia]. [COVID-19肺炎住院患者曾患心脏病的预后影响]。

Journal of Computational and Theoretical Nanoscience Pub Date : 2022-04-20 DOI: 10.24875/ACM.21000401

Isabel Monedero-Sánchez, Pablo Robles-Velasco, Elia Pérez-Fernández, Amador Rubio-Caballero, Cecilia Marco-Quirós, Victoria Espejo-Bares, Verónica Artiaga-de-la-Barrera, Carla Jiménez-Martínez, Carlos García-Jiménez, Pablo González-Alirangues

{"title":"[Prognostic impact of prior cardiopathy in patients hospitalized with COVID-19 pneumonia].","authors":"Isabel Monedero-Sánchez, Pablo Robles-Velasco, Elia Pérez-Fernández, Amador Rubio-Caballero, Cecilia Marco-Quirós, Victoria Espejo-Bares, Verónica Artiaga-de-la-Barrera, Carla Jiménez-Martínez, Carlos García-Jiménez, Pablo González-Alirangues","doi":"10.24875/ACM.21000401","DOIUrl":"10.24875/ACM.21000401","url":null,"abstract":"Objective: From the onset of COVID-19 pandemic, the presence of previous cardiopathy was thought to be related with a worse prognosis of the disease. We aimed to analyse that theoretical adverse impact in a large cohort of patients.Method: We selected 1065 patients admitted for SARS-CoV-2 pneumonia between March and June 2020, divided in three groups according to (1) absence of cardiopathy, (2) presence of valvular heart disease or ischemic heart disease, or (3) presence of heart failure. We analysed the differences between groups regarding the need for admission in intensive care unit for mechanical ventilation or mortality during admission, or mortality during admission or in the next 6 months.Results: The factors that were associated with a worse prognosis both in acute phase and in the next 6 months were age, male gender, obesity and oncologic disease. The presence of previous cardiopathy did not have an adverse prognostic impact neither initially nor in the short term, in our study.Conclusions: We did not obtain significative association of the presence of cardiopathy with a worse medical evolution, neither in acute phase nor in the short term, of patients admitted for SARS-CoV-2 pneumonia.","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":"10 1","pages":"50-57"},"PeriodicalIF":0.0,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86577945","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

Interactive Webtoon System Using VR 360 Cam and Face Detection 使用VR 360摄像头和人脸检测的交互式网络卡通系统

Journal of Computational and Theoretical Nanoscience Pub Date : 2021-06-01 DOI: 10.1166/jctn.2021.9608

Hyeongjin Kim, Sunjin Yu

引用次数: 0

Short Term Power Load Forecasting Based on Deep Neural Networks 基于深度神经网络的短期电力负荷预测

Journal of Computational and Theoretical Nanoscience Pub Date : 2021-05-01 DOI: 10.1166/jctn.2021.9622

Geum-Seong Lee, Gwang-Hyun Kim

{"title":"Short Term Power Load Forecasting Based on Deep Neural Networks","authors":"Geum-Seong Lee, Gwang-Hyun Kim","doi":"10.1166/jctn.2021.9622","DOIUrl":"https://doi.org/10.1166/jctn.2021.9622","url":null,"abstract":"The purpose of this study is to find the most appropriate forecasting method by applying the machine learning and deep learning techniques that have recently been representing an outstanding performance in various fields to power load forecasting and evaluating their performance. Forecasting\u0000 model has been realized by using logistic regression, decision tree, support vector machine (SVM) algorithm as the machine learning technique, and deep neural network (DNN) algorithm as deep learning technique and compared with each other. In order to find the most appropriate method for power\u0000 load forecasting, the performance of machine learning and deep learning model was compared and evaluated. Performance was evaluated by realizing total 7 forecasting models including 3 machine learning-based single forecasting models, 1 deep learning-based single forecasting model, and 3 complex\u0000 forecasting models. As for complex forecasting model, forecasting rate turned out to be 96.91% for logistic regression-based complex forecasting model, 97.08% for decision tree-based complex forecasting model, and 96.43% for support vector machine-based forecasting model that the complex forecasting\u0000 model combined with decision tree and deep neural network represented the most outstanding performance. With this study, it is anticipated to precisely forecast power load saving the electronic energy while preparing for a plan to efficiently distribute and utilize energy in connection with\u0000 smart grid technology such as Energy Storage System (ESS) or Energy Management System (EMS).","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44638823","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

Stock Price Prediction by Using BLSTM (Bidirectional Long Short Term Memory) 基于双向长短期记忆的股价预测

Journal of Computational and Theoretical Nanoscience Pub Date : 2021-05-01 DOI: 10.1166/jctn.2021.9603

Sunghyuck Hong, Jungsoo Han

{"title":"Stock Price Prediction by Using BLSTM (Bidirectional Long Short Term Memory)","authors":"Sunghyuck Hong, Jungsoo Han","doi":"10.1166/jctn.2021.9603","DOIUrl":"https://doi.org/10.1166/jctn.2021.9603","url":null,"abstract":"Currently, many researchers are working on stock price prediction system by using deep learning algorithms. Stock market is completely random, and there is no pattern. Even though, a pattern in stock market could be found, it will not be last for a long time because the stock market\u0000 will adopt a new situation and the strategy is no longer available on already changed stock market. There are many auto trading programs such as a trading bot on stock market. However, they are literally trade stocks based on human’s direction or rules. It will not affect any changes,\u0000 and it keeps working as what rules are set up from the initial status on the stock market. Stock price depends on volume of total sales, stock news, revenue, total asset, big buyer’s position and so on. There are many aspects for affecting stock price, and it changes all the time. Therefore,\u0000 it keeps monitoring stock market and makes a decision whether buy or sell at the right time for earning profits. This research uses Bidirectional Long Short-Term Memory (BLSTM) to predict stock price in the near future. BLSTM is more accurate than LSTM which is one directional. In addition,\u0000 stock market is like a living creature. Data to manipulate stock price must be inputted and analyzed consistently. Therefore, stock price can be predicted by consistent monitoring with BLSTM.","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46465158","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

Environmental Factor-Based Segmentation of Images in Natural Environments 基于环境因素的自然环境图像分割

Journal of Computational and Theoretical Nanoscience Pub Date : 2021-05-01 DOI: 10.1166/jctn.2021.9583

Seok-Woo Jang

{"title":"Environmental Factor-Based Segmentation of Images in Natural Environments","authors":"Seok-Woo Jang","doi":"10.1166/jctn.2021.9583","DOIUrl":"https://doi.org/10.1166/jctn.2021.9583","url":null,"abstract":"The robust segmentation of color images in a natural environment without specific constraints such as lighting or background is very important in the field of image processing and computer vision. In this paper, an environmentally adaptive image segmentation method using color invariant\u0000 is proposed. The proposed method introduces a number of color invariant, such as W, C, U, N, and H, and automatically detects factors in the surrounding environment in which images such as lighting, shading, and highlights are taken. The image is then effectively split based on the edge by\u0000 selecting the color invariant optimal for the detected environmental factors. In the experiment, we implemented the proposed edge-based image segmentation algorithm. Various image data taken in general environments without specific constraints were utilized as input images of the suggested\u0000 system. In this study, various kinds of color images taken in different environments were tested, and each color invariant was extracted from the experiments that best expressed the environmental changes around them. As a result, a largest number of images were determined to have a change\u0000 in the intensity of lighting, followed by highlights and shadows. In addition, there were a few images that determined that no special state environmental changes existed. As the results of the experiment show visually, the existing method did not correctly remove shadows and did not detect\u0000 some areas of the circular shape. In addition, the existing method can also be found to be partially inaccurate in edge detection in many areas. On the other hand, the proposed method confirmed stable segmentation of images. The proposed color invariant-based image segmentation algorithm is\u0000 expected to be useful in various pattern recognition areas such as face tracking, mobile object detection, gesture recognition, motion understanding, etc.","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42114269","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

Development of a Digilog Learning Model for Training on the Principles of Artificial Intelligence Learning in Elementary Education 基础教育中人工智能学习原理训练的Digilog学习模型的开发

Journal of Computational and Theoretical Nanoscience Pub Date : 2021-05-01 DOI: 10.1166/jctn.2021.9625

Yu-Hyun Hwang, Namje Park

{"title":"Development of a Digilog Learning Model for Training on the Principles of Artificial Intelligence Learning in Elementary Education","authors":"Yu-Hyun Hwang, Namje Park","doi":"10.1166/jctn.2021.9625","DOIUrl":"https://doi.org/10.1166/jctn.2021.9625","url":null,"abstract":"The importance of nurturing human resources who will lead the 4th Industrial Revolution is increasing, and artificial intelligence is a core factor of innovative technologies. Therefore, developing various and interesting teaching methods for principles of artificial intelligence is\u0000 necessary. This article suggests teaching principles of artificial intelligence by convergence of digital and analogue, called digilog. Students get to know how machines can learn and operate, which is digital, with paper worksheets and several physical teaching aids, which are analogue. In\u0000 digilog way, students figure out the principles of image recognition. There are two methods, MAX and filtration box. The principles of artificial intelligence are too abstract to understand for elementary learners who are yet at concrete operational period, according to Piaget. Therefore,\u0000 the convergence of digital and analogue is effective for teaching and learning about artificial intelligence in elementary education. Elementary learners examine colorful virtual images in their worksheet and use their hands and pencils to trace artificial intelligence’s work. They end\u0000 up with figuring out how artificial intelligence compresses inserted images into smaller reference images step by step. With the offered method and developing more diverse digilog elements, elementary learners’ knowledge and experiences necessary for the future society will be increased.","PeriodicalId":15416,"journal":{"name":"Journal of Computational and Theoretical Nanoscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48469850","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