Data from the Plantation Office of East Kalimantan Province, the area of rubber plantations has decreased every year. One of the factors that make productivity of rubber plants low is the presence of pests and disea...
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Data from the Plantation Office of East Kalimantan Province, the area of rubber plantations has decreased every year. One of the factors that make productivity of rubber plants low is the presence of pests and diseases. The time limit of an expert is an obstacle in identifying rubber plantations. To overcome this problem, we need an expert system that can identify rubber plant diseases such as an expert. This system was developed to be able to provide solutions in diagnosing rubber plant diseases such as White Root Fungus (Rigidoporus micropus), Upas Mushroom Disease (Corticium salmonicolor), Antraknosa Disease (Colletorichum gloeosporoides), Skin Necrosis (Fusarium sp.), And Cancer Lines (Phytoptora palmivore). This study uses the TOPSIS method. There are four variables used as assessment criteria in this study, namely: the level of damage to the root, the level of damage to the stem, the level of damage to the leaves and the level of damage to the tapping path or the intensity of tapping, with preference values from 0 to 100; none, Very Light Intensity (1), Mild Intensity (3), Medium Intensity (5), Weight Intensity (7) and Very Heavy Intensity (9). Each weight value C1= 0.3; C2= 0.22; C3= 0.28; C4= 0.2. The results of this study compare manual calculations and calculations on the system obtained 99.99% accuracy. This system is expected to help facilitate rubber farmers in identifying diseases and can help experts.
Cassava is an agricultural material that is considered as important raw resources in the industrial sector. The benefits are even greater after being modified using lactic acid bacteria. However, the mocaf industry of...
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We have studied the magnetic response of transverse optical phonons in Pb1−xSnxTe films. Polarization-dependent terahertz magnetospectroscopy measurements revealed Zeeman splittings and diamagnetic shifts, demonstrati...
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This research aims to recognize the pattern of pulmonary disease on x-ray radiography image using artificial neural network (ANN) method. The images, which were used such as images of healthy pulmonary, pulmonary tube...
This research aims to recognize the pattern of pulmonary disease on x-ray radiography image using artificial neural network (ANN) method. The images, which were used such as images of healthy pulmonary, pulmonary tuberculosis, and pulmonary tumour. Pattern recognition was using an extraction feature of GLCM (Gray Level Co-occurrence Matrix) and back propagation method. Before being identified, the images were processed by median filter and adaptive histogram equalization. The GLCM features that used were homogeneity, energy, contrast, variance and correlation. The parameters were learning rate and hidden layer. Learning rate was 0.3 and hidden layer was 25. Back propagation training showed 100% accuracy, which all of 44 images were used had been successfully identified. From the result, the healthy pulmonary showed 60% accuracy, 83.3% for pulmonary tuberculosis and 100% for pulmonary tumor. Hence, the overall result showed 81.25% accuracy, which 13 of 16 images had been successfully identified. From these result, extraction feature of GLCM using back propagation method was capable to recognize the pattern of pulmonary disease. However, due to narrow range of the feature, this application may not be used optimally for comparing features in every category of images. Therefore, the further research is needed to determine the best features and parameters of training back propagation.
The genetic improvement of Indonesian cassava is limited by the lack of knowledge about genetic diversity in circulating cassava clones. Good breeding results require information on the Relationship between the clones...
The genetic improvement of Indonesian cassava is limited by the lack of knowledge about genetic diversity in circulating cassava clones. Good breeding results require information on the Relationship between the clones used. This study aims to study the genetic relationship between several Jember cassava clones through genotype and phenotype approaches. The genetic relationship between 22 cassava accessions was analyzed using RAPD and phenotypically using the key of determination. The genetic Relationship dendrogram results were obtained from 87 DNA bands and 18 phenotypic characters. The genetic relationships were analyzed using similarity coefficients and phenotypic genetic distances. Relationship analysis of 22 cassava accessions based on phenotypic characters yielded similarity coefficients ranging from 0.39 to 0.83. Relationship analysis of 22 cassava accessions based on RAPD markers, resulted in a similarity coefficient of 0.5-1.0, or 55 to 100%.
Bacteria that have developed in the biofilm phase will be more resistant to antibiotics and emit gases that have certain characteristics. One dose of culture from Trypticase Soy Broth (TSB) (Merck, Germany) was inocul...
Bacteria that have developed in the biofilm phase will be more resistant to antibiotics and emit gases that have certain characteristics. One dose of culture from Trypticase Soy Broth (TSB) (Merck, Germany) was inoculated into 10 mL of Trypticase Soy Broth (TSB) (Merck, Germany) and homogenized for a concentration of 0.5 McFarland (10-13 CFU / mL). The suspension was detected by ELISA reader (λ 595nm)Based on the results that have been obtained, the sensor on the gas array instrument can detect both a variety of distinctive gas patterns in S. Variations in shelf life and variations in the types of samples provided can be tracked both by the entire sensor. This is indicated by the emergence of a unique and different sensor voltage output pattern in each variation. The processing of sensor output using the PCA (Principal Component Analysis) method can accommodate 86.45% of the data variation, including the first component and the second component respectively 70.4% and 18.1%. Through the PCA method, each variation of bacterial treatment can be classified properly, so it can be used to clearly distinguish the age of bacteria and biofilm age. When loading the PCA plot, the MQ2 sensor shows the most responsive results to gas changes. Meanwhile, the MQ136 sensor ranks second as the most responsive sensor to measure the life span of bacteria and biofilms.
Cement is the most widely used building material worldwide. Its production demands a large amount of natural resources, in addition to high energy consumption. Thus, the cement industry has been looking for solutions ...
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Cement is the most widely used building material worldwide. Its production demands a large amount of natural resources, in addition to high energy consumption. Thus, the cement industry has been looking for solutions that effectively reduce the use of these resources as well as greenhouse gas emissions. This research aims to show the technical feasibility of incorporating civil construction waste (CCW) in the production of Portland cement. To this purpose, the physicochemical characterization of the raw materials used was carried out, dosage and manufacture of the raw mix, which were calcined at 1450 °C. Clinkers were characterized mineralogically, by means of XRD, to verify the formation of the crystalline phases. Subsequently, the clinkers were ground, resulting in Portland cements, and their physical-mechanical properties were evaluated. The results showed the potential of using CCW as an alternative raw material, since experimental cements presented performance similar to industrial cements used as a reference.
Sleep disordered breathing (SDB) is highly prevalent and may be linked to cardiovascular disease in a bidirectional manner. The Taiwan Society of Cardiology, Taiwan Society of Sleep Medicine and Taiwan Society of Pulm...
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Zika virus (ZIKV) is a flavivirus linked to multiple birth defects including microcephaly, known as congenital ZIKV syndrome. The identification of host factors involved in ZIKV replication may guide efficacious thera...
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Zika virus (ZIKV) is a flavivirus linked to multiple birth defects including microcephaly, known as congenital ZIKV syndrome. The identification of host factors involved in ZIKV replication may guide efficacious therapeutic interventions. In genome-wide transcriptional studies, we found that ZIKV infection triggers aryl hydrocarbon receptor (AHR) activation. Specifically, ZIKV infection induces kynurenine (Kyn) production, which activates AHR, limiting the production of type I interferons (IFN-I) involved in antiviral immunity. Moreover, ZIKV-triggered AHR activation suppresses intrinsic immunity driven by the promyelocytic leukemia (PML) protein, which limits ZIKV replication. AHR inhibition suppressed the replication of multiple ZIKV strains in vitro and also suppressed replication of the related flavivirus dengue. Finally, AHR inhibition with a nanoparticle-delivered AHR antagonist or an inhibitor developed for human use limited ZIKV replication and ameliorated newborn microcephaly in a murine model. In summary, we identified AHR as a host factor for ZIKV replication and PML protein as a driver of anti-ZIKV intrinsic immunity.
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