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Biodiesel production from canola oil with KOH by transesterification process 菜籽油与KOH酯交换制备生物柴油
Pub Date : 2021-01-01 DOI: 10.33545/26646536.2021.v3.i2a.28
S. Revathi, G. Deepa, K. Deepika, T. Gopika
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引用次数: 0
Spectral Structure and Nonlinear Dynamics Properties of Long-Term Interstitial Fluid Glucose 长期间质液葡萄糖的光谱结构和非线性动力学特性
Pub Date : 2020-07-01 DOI: 10.17706/IJBBB.2020.10.3.137-143
J. Hayano, Atsushi Yamada, Y. Yoshida, N. Ueda, E. Yuda
The spread of continuous indwelling sensors in the subcutaneous tissue has enabled continuous monitoring of interstitial fluid glucose concentration (ISFG) under daily activities. This technology is considered to enable the development of a method for evaluating glycemic control function by analyzing not only the detailed state of diabetes and other pathological conditions but also the characteristics of glycemic dynamics. To clarify the basic fluctuation characteristics of long-term ISFG, the spectral structure and nonlinear dynamics properties of ISFG obtained by continuous monitoring for 11 days were analyzed in healthy and diabetic subjects.
在皮下组织中连续留置传感器的普及使得在日常活动中连续监测间质液葡萄糖浓度(ISFG)成为可能。这项技术被认为能够开发一种评估血糖控制功能的方法,不仅可以分析糖尿病和其他病理状况的详细状态,还可以分析血糖动力学的特征。为了阐明长期ISFG的基本波动特征,我们对健康和糖尿病受试者连续监测11天获得的ISFG谱结构和非线性动力学特性进行了分析。
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引用次数: 0
Parameter Optimization of Kernel Extreme Learning Machine Using Artificial Bee Colony Algorithm and Its Application for Disease Classification 基于人工蜂群算法的核极限学习机参数优化及其在疾病分类中的应用
Pub Date : 2020-07-01 DOI: 10.17706/IJBBB.2020.10.3.127-136
M. Horng, Jian-Ying Cheng, Yu-Lun Hung, Yu-Cheng Hung, Yung-Nien Sun, Pongpon Nilaphruek
Machine learn methods have been widely used for classification and diagnosis of diseases for increasing its accuracy and efficiency. The kernel extreme learning machine is being increasingly used algorithm to training single layer forward neural network as that this network is given the weights between input and hidden layers, and the bias parameter of each hidden node. In order to obtain more stable and accurate model, an artificial bee colony algorithm is used to pre-train parameters of kernel parameter and penalty parameter. weight and bias. In this paper, an artificial bee colony based kernel extreme learning machine is proposed to classify medical datasets. This proposed method is called ABC-KELM. In experiments, we use two benchmark datasets that are Breast cancer and Parkinson disease from the UCI repository to evaluate the effectiveness and classification accuracy. The experimental results reveal that the ABC-KELM can obtain satisfactory classification results.
机器学习方法在疾病分类和诊断中得到了广泛应用,提高了分类和诊断的准确性和效率。核极值学习机算法被越来越多地用于训练单层前向神经网络,该算法给出了输入层和隐藏层之间的权值,以及每个隐藏节点的偏置参数。为了获得更稳定准确的模型,采用人工蜂群算法对核参数和惩罚参数进行预训练。重量和偏差。提出了一种基于人工蜂群的核极限学习机对医疗数据集进行分类。这种方法被称为ABC-KELM。在实验中,我们使用UCI知识库中的乳腺癌和帕金森病两个基准数据集来评估分类的有效性和准确性。实验结果表明,ABC-KELM能获得满意的分类结果。
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引用次数: 0
Feature Analysis to Estimate Sleep Time Based on Simple Measurement of Biological Information after Awakening 基于觉醒后生物信息简单测量的睡眠时间特征分析
Pub Date : 2020-07-01 DOI: 10.17706/IJBBB.2020.10.3.144-153
Mahiro Imabeppu, Ren Katsurada, Tatsuhito Hasegawa
Currently, many people wear a wristband type device while sleeping to automatically record how many hours they sleep. Even a system without a wearing device, such as a smartphone application, needs to be set in advance. Therefore, automatic recording of sleep time cannot be realized without advanced measurement preparation. In this study, we propose a method to estimate sleep time without advanced preparation based on a simple measurement of biological information after awakening. We extracted 97 types of features from sensor data that were measured using wearable devices. We analyzed whether significant differences between each feature appear according to the previous sleep time. Furthermore, we evaluated the accuracy when the sleep time is estimated by machine learning using features with a significant difference. We adopted Support Vector Machine (SVM) as a machine learning algorithm and Leave-One-Session-Out Cross Validation (LOSO-CV) as an evaluation method. Consequently, there were seven features with significant differences when the biological information was measured one hour after awakening. By using machine learning, the accuracy of the previous sleep time (three sleep time categories: short, medium, or long) was estimated to be 62.5%.
目前,许多人在睡觉时戴着腕带式设备,自动记录他们睡了多少小时。即使是没有穿戴设备的系统,如智能手机应用程序,也需要提前设置。因此,如果没有先进的测量准备,就无法实现睡眠时间的自动记录。在这项研究中,我们提出了一种方法来估计睡眠时间没有事先准备基于一个简单的测量醒来后的生物信息。我们从使用可穿戴设备测量的传感器数据中提取了97种类型的特征。我们根据之前的睡眠时间来分析每个特征之间是否存在显著差异。此外,我们使用具有显著差异的特征评估了机器学习估计睡眠时间时的准确性。我们采用支持向量机(SVM)作为机器学习算法,采用留一次会话交叉验证(LOSO-CV)作为评估方法。因此,在醒来1小时后测量生物信息时,有7个特征存在显著差异。通过使用机器学习,以前的睡眠时间(三种睡眠时间类别:短、中、长)的准确性估计为62.5%。
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引用次数: 0
Synthesis by silver nanoparticle activity of Larvicidal Useing leaf extracts of Andrographis alata against Culex quinquefasciatus 穿心莲叶提取物对致倦库蚊灭蚊活性的纳米银粒合成
Pub Date : 2020-01-01 DOI: 10.33545/26646536.2020.v2.i1a.13
Karunakaran Kalaiselvan, Chinnavenkataraman Govindasamy, N. Vasanth
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引用次数: 0
Antibacterial Activity and Tannin Tolerance of Bacillus spp. Isolated from Leaves of Miang (Camellia sinensis (L.) Kuntze var. assamica (J.W. Mast.) Kitam.) 湘茶芽孢杆菌的抑菌活性及单宁耐受性昆兹变种assamica (J.W. Mast)Kitam)。
Pub Date : 2020-01-01 DOI: 10.17706/ijbbb.2020.10.1.26-33
Patthanasak Rungsirivanich, N. Thongwai
Sixteen Bacillus isolates were obtained from leaves of Miang plant (Camellia sinensis (L.) Kuntze var. assamica (J.W. Mast.) Kitam.) collected from Miang gardens in Chiang Mai and Phrae provinces of Thailand. All bacterial isolates were identified within 3 species including B. licheniformis, B. siamensis and B. tequilensis based on 16S rRNA gene sequence. The culture broth of B. siamensis ML122-2, ML123-1 and ML124-1 could inhibit growth of Staphylococcus aureus ATCC 25923 and methicillin resistant S. aureus DMST 20625 while B. licheniformis ML071-1, ML073-1, ML075-1 and ML076-2 could inhibit growth of B. cereus TISTR 687 and S. aureus ATCC 25923 with the inhibitory value ranging between 242.4 363.6 and 265.2 340.9 AU/ml, respectively. Moreover, B. siamensis ML122-2 could tolerate tannin, 1% (w/v). Accordingly, B. siamensis ML122-2, ML123-1 and ML124-1 and B. licheniformis ML071-1, ML073-1, ML075-1 and ML076-2 may involve in biological control of Miang fermentation process.
从苗木Camellia sinensis (L.)的叶片中分离得到16株芽孢杆菌。昆兹变种assamica (J.W. Mast)),采自泰国清迈和法莱省的苗族花园。根据16S rRNA基因序列对地衣芽孢杆菌(B. licheniformis)、暹罗芽孢杆菌(B. siamensis)和龙舌兰芽孢杆菌(B. tequilensis) 3种细菌进行分离。暹罗亚芽孢杆菌ML122-2、ML123-1和ML124-1培养液对金黄色葡萄球菌ATCC 25923和耐甲氧西林金黄色葡萄球菌DMST 20625有抑制作用,地衣芽孢杆菌ML071-1、ML073-1、ML075-1和ML076-2对蜡样芽孢杆菌TISTR 687和金黄色葡萄球菌ATCC 25923有抑制作用,抑制值分别在242.4 363.6和265.2 340.9 AU/ml之间。此外,B. siamensis ML122-2对单宁的耐受性为1% (w/v)。因此,B. siamensis ML122-2、ML123-1和ML124-1以及B. licheniformis ML071-1、ML073-1、ML075-1和ML076-2可能参与了苗族发酵过程的生物控制。
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引用次数: 4
Effects of indole acetic acid (IAA) hormone and bitter apple extract on growth development and nutrient content of mung bean plant in vitro 吲哚乙酸(IAA)激素和苦苹果提取物对绿豆离体植株生长发育和养分含量的影响
Pub Date : 2020-01-01 DOI: 10.33545/26646536.2020.v2.i1a.14
A. Hossain, Abdelmuhsin Abdelgadir
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引用次数: 0
Antimalarial activities of alkaloid-rich fraction of stem bark extract of Lannea acida in mice infected with Plasmodium berghei 枸杞子茎皮提取物富生物碱部分对伯氏疟原虫感染小鼠的抗疟活性研究
Pub Date : 2020-01-01 DOI: 10.33545/26646536.2020.v2.i1a.16
Olusola Ao, Ogunsina Oi, Adekahunsi Aj, A. Fakoya
Malaria is a mosquito-borne disease that has plagued mankind for ages and continues to be most common and deadly parasitic disease in the world. The search for novel antimalarial compounds has been required by Plasmodium falciparum resistance to standard antimalarial drugs. Plants derivative are significant sources of biologically active metabolites which have potentials for new antimalarial drugs’ discovery. Meanwhile a number of alkaloids have been successfully used for the treatment of malaria. In this study, alkaloid-rich fraction of stem bark extract of Lannea acida was evaluated for possible antiplasmodial activity, against Plasmodium berghei, a chloroquine-sensitive protozoan. Suppressive activity of the fraction was examined for five consecutive days with the extract doses and chloroquine as the control drug, curative experimental groups were infected for five days prior to extract treatment, while the prophylactic groups were pretreated daily for five days before inoculation with 1×10 chloroquine-sensitive Plasmodium berghei intraperitoneally. The control group was administered with 10 ml distilled water/kg; 200 and 400 mg extract/kg weight were administered to the experimental groups, and chloroquine 5 mg/kg body weight respectively. All doses of the fraction produced significant, dose-dependent, chemo suppressive activity against the parasite in the suppressive, curative and prophylactic tests compared with chloroquine treated mice. The extract treatment also casused an elongation in the mean survival time of treated mice compared to the untreated mice.
疟疾是一种蚊子传播的疾病,多年来一直困扰着人类,并且仍然是世界上最常见和最致命的寄生虫病。恶性疟原虫对标准抗疟药物的耐药性要求寻找新的抗疟化合物。植物衍生物是生物活性代谢物的重要来源,具有开发抗疟新药的潜力。与此同时,一些生物碱已被成功地用于治疗疟疾。在本研究中,研究了Lannea acid茎皮提取物中富含生物碱的部分对伯氏疟原虫(一种对氯喹敏感的原生动物)的抗疟原虫活性。以提取液剂量和对照药物氯喹为对照,连续5天检测该组分的抑制活性,治疗组在提取液治疗前5天感染,预防组在接种1×10氯喹敏感伯氏疟原虫前5天每天进行预处理。对照组给予蒸馏水10 ml /kg;试验组分别给予提取物200、400 mg/kg体重,氯喹5 mg/kg体重。与氯喹处理的小鼠相比,所有剂量的部分在抑制、治疗和预防试验中对寄生虫产生显著的、剂量依赖的化学抑制活性。与未处理的小鼠相比,提取物处理也导致治疗小鼠的平均生存时间延长。
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引用次数: 0
Genital Chlamydia trachomatis infection among pregnant women in Jos north, Jos, Nigeria: A hospital-based cross-sectional study 尼日利亚乔斯北部乔斯孕妇的生殖器沙眼衣原体感染:一项基于医院的横断面研究
Pub Date : 2020-01-01 DOI: 10.33545/26646536.2020.v2.i1a.15
O. Okojokwu, I. A. Onaji, Bashiru Shafa Abubakar, M. Adebayo, Nanman Ladul Mwankat, I. Yusuf, Francis Ofuowoicho Ukah, E. E. Entonu, M. Ali, A. Ogaji, J. Anejo-Okopi
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引用次数: 0
Tracking and Analysis of FUCCI-Labeled Cells Based on Particle Filters and Time-to-Event Analysis 基于粒子滤波和时间-事件分析的fucci标记细胞跟踪与分析
Pub Date : 2020-01-01 DOI: 10.17706/ijbbb.2020.10.2.94-109
K. Fujimoto, S. Seno, Hironori Shigeta, T. Mashita, M. Ishii, H. Matsuda
FUCCI (fluorescent ubiquitination-based cell cycle indicator) is a fluorescent probe used to visualize the cell cycle progression of individual cells using fluorescent proteins of different colors. Because the cell cycle is related to biological processes such as proliferation of cancer cells, analysis of imaging data visualized using FUCCI is extremely important. This paper proposes a method for spatiotemporal tracking and analysis of FUCCI-labeled cells from time-lapse videos. To address the color transition of the FUCCI-labeled cell with the cell cycle progression, the proposed method simultaneously estimates the location and the cell cycle phase of the target cell. Furthermore, to analyze the cell phase transition, this paper proposes to apply multistate time-to-event analysis to the information obtained through our tracking method. This paper demonstrates the usefulness of our method with application to FUCCI-labeled HuH7 cells (human hepatocellular carcinoma cell line).
FUCCI(荧光泛素化细胞周期指示器)是一种荧光探针,用于使用不同颜色的荧光蛋白来可视化单个细胞的细胞周期进程。由于细胞周期与诸如癌细胞增殖等生物过程有关,因此使用FUCCI可视化成像数据的分析非常重要。本文提出了一种从延时视频中对fucci标记细胞进行时空跟踪和分析的方法。为了解决fucci标记细胞随细胞周期进程的颜色过渡问题,提出的方法同时估计目标细胞的位置和细胞周期阶段。此外,为了分析细胞的相变,本文提出对通过我们的跟踪方法获得的信息应用多状态时间-事件分析。本文证明了我们的方法对fucci标记的HuH7细胞(人肝癌细胞系)的有效性。
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引用次数: 4
期刊
International Journal of Bioscience, Biochemistry and Bioinformatics
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