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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 Q3 Chemistry 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

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.

血管紧张素转换酶(ACE)编码基因的插入/缺失(I/D)多态性是心血管疾病(CVD)的常见遗传标记。随着糖尿病发病率的惊人上升,印度人患心血管疾病的风险进一步增加。本研究探讨了 ACE I/D 多态性 rs4340 作为遗传标记的作用及其与糖尿病的关系。研究人员从本院就诊的 410 名城市受试者中分离出基因组 DNA,使用聚合酶链反应进行基因分型,然后进行电泳分析。在这些受试者中,84 人患有 2 型糖尿病,68 人患有高血压,258 人没有这些危险因素。大多数(57/84)糖尿病受试者还患有高血压。糖尿病患者(84 人)与非糖尿病患者(258 人)的 ACE I/D 多态性基因型频率没有差异。与此形成鲜明对比的是,我们发现女性糖尿病患者(38 人)的基因型频率与非糖尿病女性患者(70 人)的基因型频率存在显著差异。糖尿病妇女的高风险 "D "等位基因的患病率明显更高。几率比(OR)分析表明,在隐性模型(D/D vs I/I + I/D)中,基因型为 "D/D "的女性患糖尿病的风险是 "D/D "的三倍(OR 3.12,95% CI 1.21-8.05;p = 0.018)。此外,当我们分析无高血压的女性糖尿病患者(8 人)的比值比时,结果显示,D/D 同源女性(D/D vs I/I + I/D)患糖尿病的风险甚至更高,达到 6 倍(OR 6.0,95% CI 1.29-27.96,p = 0.027)。这些结果表明,ACE "I/D "多态性与 2 型糖尿病的 "性别特异性 "关系影响到女性,而对男性则没有影响。鉴于印度人的心血管死亡率增加,我们的试点研究数据如果能在更大的群体中得到证实,将为我们未来的干预工作增添价值。
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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。
Q3 Chemistry Pub Date : 2022-10-03 eCollection Date: 2022-01-01 DOI: 10.5334/cie.47
Delia Baskerville

Truancy, a complex, unresolved educational issue in countries with compulsory attendance policies, has the potential to cause further educational inequity in times of a global COVID-19 pandemic. At the time of this study, there was a paucity of research regarding youth perspectives of truancy compared to adult perspectives. To address this gap in truancy scholarship, data from a grounded theory study were used to indicate how a sample of 13 students who were truant in New Zealand explained their experiences of reinclusion in learning after persistent absences. Findings showed that support by a significant adult, not necessarily a teacher, and peers were vital in helping youth who are truant to develop a positive and determined attitude to reengage with learning. Results will support school leaders, counsellors, and teachers to further develop inclusive approaches that promote student well-being and achievement.

逃学是一个复杂的教育问题,在实行强制出勤政策的国家尚未得到解决,在 COVID-19 全球大流行的时代,逃学有可能造成进一步的教育不公平。在开展这项研究时,与成年人的观点相比,有关青少年对逃学的看法的研究还很少。为了弥补逃学研究中的这一空白,我们使用了基础理论研究的数据,以新西兰 13 名逃学学生为样本,说明他们如何解释在持续缺课后重新融入学习的经历。研究结果表明,重要成人(不一定是教师)和同伴的支持对于帮助逃学青少年树立重新参与学习的积极和坚定态度至关重要。研究结果将有助于学校领导、辅导员和教师进一步制定促进学生福祉和成绩的包容性方法。
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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。
Q3 Chemistry 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

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.

导言:游泳运动与嗜酸性粒细胞炎症有关,但其潜在机制尚不完全清楚。诱导痰中的嗜酸性粒细胞阳离子蛋白(ECP)可作为一种潜在的生物标志物,用于评估精英游泳运动员的气道嗜酸性粒细胞炎症。本研究的目的是鉴定精英游泳运动员痰上清液中的 ECP 水平,并评估 ECP 作为嗜酸性粒细胞炎症标志物的作用:本部门每年对精英游泳运动员(n = 27)进行筛查,并邀请他们参与这项横断面研究。同意参加的游泳运动员(n = 24,46% 为女孩)进行了肺功能和皮肤点刺试验。还收集了诱导痰,并对痰上清液中的细胞计数差和 ECP 测量值进行了分析(ImmunoCAPTM 100,ECP,Thermo Fisher Scientific,瑞典乌普萨拉):ECP 的中位水平为 15.60 μg/L(6.02-38.75 μg/L),男孩的 ECP 水平更高(27.90 (11.20-46.30) μg/L vs 6.65 (2.82-22.80) μg/L,P = .02)。此外,痰上清液中的 ECP 水平与诱导痰中的嗜酸性粒细胞计数呈正相关(r = 0.583,P = .08):结论:ECP水平与精英游泳运动员诱导痰中的嗜酸性粒细胞数呈正相关。测量痰上清液中的 ECP 可能是评估和管理精英游泳运动员气道嗜酸性粒细胞炎症变化的有用标记。
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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 Q3 Chemistry 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

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.

大多数已知的纤维素酶相关碳水化合物结合模块(CBMs)都附着在酶的 N 或 C 端,或者单独表达并组装成多酶复合物(例如形成纤维素体),而不是插入催化结构域。本文通过解析晶体结构显示,来自台湾美热菌(Meiothermus taiwanensis)WR-220 的 MtGlu5 是一种 GH5 家族的内-β-1,4-葡聚糖酶(EC 3.2.1.4),具有两部分结构,包括一个具有 (β/α)8 TIM 桶折叠的 Cel5A 样催化结构域和一个具有 β 果冻卷折叠的插入 CBM29 样非催化结构域。通过使用全长和 CBM 缺失的 MtGlu5 蛋白的非活性突变体进行等温滴定量热测定,CBM 的缺失大大降低了 MtGlu5 的催化效率。相反,将来自 MtGlu5 的 CBM 插入来自 Thermotoga maritima 的 TmCel5A 可大大提高 TmCel5A 的底物亲和力。在活跃的全长 MtGlu5 和 CBM 缺失的 MtGlu5 催化结构域的两条色氨酸侧链之间观察到的结合糖表明存在重要的堆积力。通过底物建模,MtGlu5 的催化结构域和 CBM 在与单链多糖结合方面的协同作用得以显现,其中在跨结构域沟槽中发现了额外的表面色氨酸残基。随后的定点突变结果证实了 MtGlu5 两个结构域中的其他几个色氨酸残基在底物结合中的关键作用。这些发现揭示了在现有酶的催化结构域中加入 CBM 以制造强效纤维素酶的方法。
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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]。
Q3 Chemistry 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

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.

目的:从 COVID-19 大流行开始,人们就认为曾患心血管病的患者预后较差。我们的目的是在一大批患者中分析这种理论上的不利影响:我们选取了 2020 年 3 月至 6 月期间因 SARS-CoV-2 肺炎入院的 1065 名患者,按照(1)无心脏病、(2)有瓣膜性心脏病或缺血性心脏病或(3)有心力衰竭分为三组。我们分析了各组之间在需要入住重症监护室进行机械通气、入院期间的死亡率、入院期间或未来 6 个月的死亡率方面的差异:急性期和未来 6 个月预后较差的相关因素是年龄、男性、肥胖和肿瘤疾病。在我们的研究中,既往心脏病的存在在初期和短期内都不会对预后产生不利影响:无论是在急性期还是在短期内,我们都没有发现因 SARS-CoV-2 肺炎入院的患者出现心血管病与病情恶化有明显的关联。
{"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":"<p><strong>Objective: </strong>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.</p><p><strong>Method: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","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
Q3 Chemistry Pub Date : 2021-06-01 DOI: 10.1166/jctn.2021.9608
Hyeongjin Kim, Sunjin Yu
VR 360 Cam is an emerging device. By combining this with the rising webtoon industry, we want to show people an immersive webtoon. Based on the python language, face detection was performed from images received in real time from VR 360 Cam through dlib, a machine learning library that supports python. The VR 360 Cam performs trekking on the detected face to receive each detected position value, and is converted into a natural face through rectification to be shown to the audience. The exhibition, which performed face detection from the VR 360 Cam, and showed the image of the person’s face mapped to the audience, drew meaningful results. Unlike cameras such as webcams, VR 360 Cam has a wider viewing angle, allowing more people to interact. Existing webcams can only interact with one person at a time because it is impossible to interact with more people due to a narrow angle when one person enters. On the other hand, interaction with multiple people is possible through VR 360 Cam. Various exhibitions were possible.
VR 360摄像头是一种新兴设备。通过将其与新兴的网络卡通行业相结合,我们希望向人们展示一个身临其境的网络卡通。基于python语言,通过支持python的机器学习库dlib,从VR 360 Cam实时接收的图像中进行人脸检测。VR 360摄像头对检测到的人脸进行徒步旅行,以接收每个检测到的位置值,并通过校正转换为自然人脸,向观众展示。该展览通过VR 360摄像头进行人脸检测,并向观众展示了人脸图像,取得了有意义的结果。与网络摄像头等摄像头不同,VR 360摄像头的视角更宽,可以让更多人互动。现有的网络摄像头一次只能与一个人互动,因为当一个人进入时,由于角度很窄,不可能与更多的人互动。另一方面,通过VR 360摄像头可以与多人互动。各种各样的展览都是可能的。
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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
Q3 Chemistry Pub Date : 2021-05-01 DOI: 10.1166/jctn.2021.9622
Geum-Seong Lee, Gwang-Hyun Kim
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 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 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 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 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 smart grid technology such as Energy Storage System (ESS) or Energy Management System (EMS).
本研究的目的是通过将最近在各个领域表现突出的机器学习和深度学习技术应用于电力负荷预测和评估其性能,找到最合适的预测方法。采用逻辑回归、决策树、支持向量机(SVM)算法作为机器学习技术,深度神经网络(DNN)算法作为深度学习技术,实现了预测模型,并进行了比较。为了找到最合适的电力负荷预测方法,对机器学习和深度学习模型的性能进行了比较和评价。通过实现7种预测模型,包括3种基于机器学习的单一预测模型、1种基于深度学习的单一预测模型和3种复杂预测模型,对模型的性能进行了评价。在复杂预测模型中,基于逻辑回归的复杂预测模型预测率为96.91%,基于决策树的复杂预测模型预测率为97.08%,基于支持向量机的预测模型预测率为96.43%,其中决策树与深度神经网络相结合的复杂预测模型表现最为突出。通过这项研究,可以准确预测节省电子能源的电力负荷,并与储能系统(ESS)或能源管理系统(EMS)等智能电网技术相结合,制定有效分配和利用能源的计划。
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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
Q3 Chemistry Pub Date : 2021-05-01 DOI: 10.1166/jctn.2021.9603
Sunghyuck Hong, Jungsoo Han
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 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, 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, 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, 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.
目前,许多研究人员正在利用深度学习算法开发股价预测系统。股市是完全随机的,没有任何规律。尽管可以在股市中找到一种模式,但这种模式不会持续很长时间,因为股市将采用一种新的情况,而且这种策略在已经改变的股市上不再可用。有许多自动交易程序,如股票市场上的交易机器人。然而,它们实际上是基于人类的方向或规则的股票交易。它不会影响任何变化,而且从股票市场的初始状态开始,它就一直按照规则运行。股票价格取决于总销售额、股票新闻、收入、总资产、大买家的头寸等。影响股票价格的因素有很多,而且一直在变化。因此,它不断监控股票市场,并在正确的时间做出买入还是卖出的决定,以赚取利润。本研究使用双向长短期记忆(BLSTM)来预测近期的股价。BLSTM比单向LSTM更准确。此外,股市就像一个活生生的生物。操纵股价的数据必须一致地输入和分析。因此,可以通过与BLSTM的一致监测来预测股价。
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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
Q3 Chemistry Pub Date : 2021-05-01 DOI: 10.1166/jctn.2021.9583
Seok-Woo Jang
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 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 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 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 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 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 expected to be useful in various pattern recognition areas such as face tracking, mobile object detection, gesture recognition, motion understanding, etc.
在没有特定约束(如照明或背景)的自然环境中对彩色图像进行鲁棒分割在图像处理和计算机视觉领域非常重要。本文提出了一种基于颜色不变量的环境自适应图像分割方法。所提出的方法引入了许多颜色不变量,如W、C、U、N和H,并自动检测拍摄图像的周围环境中的因素,如照明、阴影和高光。然后,通过选择对于检测到的环境因素最优的颜色不变量,基于边缘有效地分割图像。在实验中,我们实现了所提出的基于边缘的图像分割算法。在没有特定约束的一般环境中拍摄的各种图像数据被用作所建议的系统的输入图像。在这项研究中,测试了在不同环境中拍摄的各种彩色图像,并从实验中提取了最能表达周围环境变化的每种颜色不变量。结果,确定了最大数量的图像具有照明强度的变化,其次是高光和阴影。此外,还有一些图像确定不存在特殊状态的环境变化。实验结果直观地表明,现有的方法没有正确地去除阴影,也没有检测到圆形的某些区域。此外,现有方法在许多领域的边缘检测中也存在部分不准确的问题。另一方面,所提出的方法证实了图像的稳定分割。所提出的基于颜色不变的图像分割算法有望应用于人脸跟踪、移动物体检测、手势识别、运动理解等多种模式识别领域。
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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
Q3 Chemistry Pub Date : 2021-05-01 DOI: 10.1166/jctn.2021.9625
Yu-Hyun Hwang, Namje Park
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 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 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, 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 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.
培养引领第四次产业革命的人才的重要性日益增加,人工智能是创新技术的核心要素。因此,开发各种有趣的人工智能原理教学方法是必要的。本文提出了数字与模拟相结合的人工智能教学原理,称为数字逻辑。学生们了解机器是如何学习和操作的,这是数字化的,有纸质的工作表和一些物理教学辅助工具,这是模拟的。通过数字化的方式,让学生了解图像识别的原理。有MAX和过滤箱两种方法。根据皮亚杰的说法,人工智能的原理过于抽象,对于还处于具体操作阶段的小学生来说,很难理解。因此,数字与模拟的融合对于基础教育中人工智能的教与学是有效的。初级学习者在他们的工作表中检查彩色虚拟图像,并使用他们的手和铅笔来跟踪人工智能的工作。他们最终弄清楚人工智能是如何一步一步地将插入的图像压缩成更小的参考图像的。通过提供的方法和开发更多样化的数字化元素,初级学习者的知识和经验将会增加,以适应未来社会的需要。
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引用次数: 0
期刊
Journal of Computational and Theoretical Nanoscience
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