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Chemical compounds in essential oil of nutmeg leaves (Myristica fragrans) from Batang Indonesia

Journal of Physics: Conference Series 2021年第1期1943卷

作者： H P Kusumaningrum M Zainuri H Endrawati B D Loka I N Widiasa E Sulistyowati Laboratory of Biotechnology Study Program of Biotechnology Faculty of Science and Mathematics Universitas Diponegoro Semarang Indonesia Laboratory of Oceanography Department of Oceanography Food Technology Department Faculty of Animal and Agricultural Sciences Diponegoro University Indonesia Chemical Engineering Department Faculty of Engineering Universitas Diponegoro Semarang Indonesia. Architecture Department Faculty of Engineering Universitas Diponegoro Semarang Indonesia.

Nutmeg oil has an important function as natural tropical biomedicine activity which commonly found in Batang region. This essential oil is one of the dominant traditional export product from Batang instead of patchouli oil, Clove oil, and lemongrass oil. The objective of the research was to analyze chemical compound of essential oil of nutmeg leaves from Batang region produced by traditional destillation. Research methods was conducted by GCMS method. The biomedical activity against some tropical diseases was analysed in-silico. The results showed that essential oil from nutmeg leaves showed potential antimicroabial activities in silico againts several tropical diseases in skin. The GCMS result showed 2-.BETA.-PINENE and .gamma.-Terpinene as the major compound with values 34,46% and 30,28%.

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Pulmonary Disease Pattern Recognition on X-Ray Radiography Image Using Artificial Neural Network (ANN) Method

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Journal of Physics: Conference Series 2020年第1期1505卷

作者： N Fitriyah L D Kurniawati E Purwanti S D Astuti Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 60115 Biomedical Engineering Study Program Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 60115 Department of Biomedical Engineering Post-Graduate Program Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 60115

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.

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Parameter processes and their impact on Tinospora cordifolia stem extracts for antibacterial and antioxidant materials

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Materials Today: Proceedings 2023年

作者： Ahmad Royani Muhammad Hanafi Puspa Dewi N. Lotulung Muhammad Eka Prastya Chandrabhan Verma Akram Alfantazi Azwar Manaf Postgraduate Program of Materials Science Study Department of Physics Faculty of Mathematics and Natural Sciences Universitas Indonesia Depok 16424 Indonesia Research Center for Metallurgy National Research and Innovation Agency (BRIN) Tangerang Selatan Banten 15314 Indonesia Research Center for Pharmaceutical Ingredients and Traditional Medicine National Research and Innovation Agency (BRIN) Tangerang Selatan Banten 15314 Indonesia Research Center for Chemistry National Research and Innovation Agency (BRIN) Tangerang Selatan Banten 15314 Indonesia Department of Chemical Engineering Khalifa University of Science and Technology P. O. Box 127788 Abu Dhabi United Arab Emirates

This work extracted the Tinospora cordifolia stem for antibacterial and antioxidant materials. The stems of T. cordifolia were extracted by using a simple maceration method. The effect of three independent variables (solvent ratios, temperature, and extraction time) was investigated to obtain optimal conditions. Ten grams of T. cordifolia were extracted using a mixture of methanol–water ratios 00:100, 15:85, 30:70, and 45:55 (% v/v) at 50–95 °C for 0.5 to 3 h. The total phenolic and flavonoid content in the T. cordifolia extracts was analyzed by Folin-Ciocalteu and Colorimetric-AlCl 3 methods. The antibacterial activities against Pseudomonas aeruginosa were assessed by serial dilution methods, and antioxidant properties were performed by DPPH methods. The optimum condition was achieved at methanol–water ratios of 00:100 % (v/v) at 95 °C for 2 h. The yield extraction for this condition is around 13.97%. The total phenolic and flavonoid contents for these conditions are about 6.85% and 7.07%, respectively. The minimum inhibitory concentration value against P. aeruginosa is 1024 µg/mL, and the minimum bacterial concentration is above 2048 µg/mL. Meanwhile, the antioxidant obtained is 217.55 µg/mL at a ratio of 00:100 methanol–water. The extraction process parameters significantly influenced the phytochemical (TPC and TFC), antibacterial activity, and antioxidant properties of T. cordifolia stem extracts. This work clearly shows the antibacterial potential of T. cordifolia stem extracts, suggesting that more investigation is required to isolate the bioactive compounds in this extract.

关键词： Antibacterial Antioxidant Maceration Parameter effect P. aeruginosa T. cordifolia

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Application of Message Security Application Using Vigenere Cipher Algorithm Utilizing One Time Pad (OTP) Algorithm as a Key Generator 1

Application of Message Security Application Using Vigenere C...

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1st Workshop on Environmental science, Society, and Technology, WESTECH 2018

作者： Pardede, A.M.H. Br Sitepu, Lorena Perbina Zarlis, Muhammad Tulus Iskandar, Akbar Sriadhi, S. Manurung, Rosida Tiurma Siregar, Nurintan Asyiah Sari, Ayu Esteka Yunawati, Sri Mursyidah, M. Mursalin, M. Kurniasih, Nuning Kurniawan, Citra Winarno, Edy STMIK Kaputama Sumatera Utara Binjai Indonesia Department of Computer Science Universitas Sumatera Utara Medan Indonesia Department of Mathematics Universitas Sumatera Utara Medan Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Indonesia Department of Management STIE Labuhanbatu Sumatera Utara Indonesia Department of Management STIE Sakti Alam Kerinci Jambi Indonesia Program Study of Accounting Pasir Pengaraian University Riau Indonesia Departement of Information Technology and Computer Politeknik Negeri Lhokseumawe Aceh Indonesia Department of Mathematics Education Universitas Malikussaleh Aceh Indonesia Faculty of Communication Sciences Library and Information Science Program Universitas Padjadjaran Bandung Indonesia Department of Electrical Engineering Sekolah Tinggi Teknik Malang Indonesia Faculty of Information Technology Universitas Stikubank Semarang Indonesia

Cryptography is the science and art of maintaining the security of messages when messages are sent from one place to another. One of the ways securing the form of text message information is by the encryption process using the Vigenere Cipher algorithm and utilizing the One Time Pad (OTP) algorithm as a key generator, where the message will be random when it is opened. The message encryption process used the vigenere cipher algorithm while OTP is used to secure the key with the same formula. After this research has been done, an application was designed to secure text messages by converting the text message into a random message so that the message was unreadable due to a secret message that could not be known by others. The results achieved can secure an encrypted message that cannot be reopened and if those messages were reopened, they must be decrypted. © Published under licence by IOP Publishing Ltd.

关键词： Cryptography

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Optimalization of enzymatic degradation on oil palm leaves hemicellulose

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AIP Conference Proceedings 2023年第1期2679卷

作者： Anita Kurniati Ni Nyoman Purwani Galih Ayhusta Laras Rohmawati Ali Rohman Afaf Baktir Hery Suwito Kazuo Sakka Makiko Sakka Ni Nyoman Tri Puspaningsih 1Mathematics and Natural Science Study Program Faculty of Science and Technology Kampus C Universitas Airlangga Mulyorejo Surabaya East Jawa 60115 Indonesia 3University-CoE-Research Centre for Bio-Molecule Engineering 2nd Floor ITD Building Kampus C Universitas Airlangga Mulyorejo Surabaya East Java 60115 Indonesia 4Department of Health Faculty of Vocational Studies Kampus B Universitas Airlangga Surabaya East Java 60286 Indonesia 2Department of Chemistry Faculty of Science and Technology Kampus C Universitas Airlangga Mulyorejo Surabaya East Java 60115 Indonesia 5Applied Microbiology Laboratory Graduate School of Bioresource Mie University 1577 Khurimamachiya-cho Tsu 514-8507 Japan

Indonesia is the largest country of oil palm production in the world. The oil palm by-product is still containing almost 80% of carbohydrates, such as cellulose and hemicellulose. This study aimed to optimize the enzymatic degradation of oil palm leaves in order to achieve zero waste of oil palm biomass by-product. Sodium hydroxide (NaOH) solution was used to isolate hemicellulose extraction from oil palm leaves. Various concentrations of NaOH such as 2 M, 2.5 M, 3 M, 3.5 M and 4 M and the reflux times of 2 hours, 4 hours, and 6 hours were used to optimize hemicellulose extraction. The optimum condition for hemicellulose extraction was 3 M NaOH and reflux time was 6 hours, while the yield at that condition was 48.94 % (w/w). The extracted hemicellulose is then hydrolyzed by a xylanolytic enzyme from recombinant Escherichia coli DH5α (namely pTP510). Temperatures of incubation were varied 50°C, 60°C, 70°C, and 80°C for 24 hours at pH 6. The hydrolysis result was analyzed using High Performance Liquid Chromatography (HPLC). Xylose was produced at an optimum temperature of 60°C (120.231 ppm), arabinose at 50°C (26.265 ppm) whereas xylo-oligosaccharide at 50°C (280.465 ppm).

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Corrigendum to "miR-29a-3p-dependent COL3A1 and COL5A1 expression reduction assists sulforaphane to inhibit gastric cancer progression" [Biochem. Pharmacol. 188 (2021) 114539]

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Biochemical pharmacology 2023年 208卷 115389页

作者： Sichong Han Zhe Wang Jining Liu Hui-Min David Wang Qipeng Yuan State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical Technology Beijing 100029 PR China. Graduate Institute of Biomedical Engineering National Chung Hsing University Taichung City 402 Taiwan Department of Medical Laboratory Science and Biotechnology China Medical University Taichung City 404 Taiwan Graduate Institute of Medicine College of Medicine Kaohsiung Medical University Kaohsiung City 807 Taiwan College of Food and Biological Engineering Jimei University Xiamen City 361021 Fujia Province PR China Undergraduate Program Study of Biomedical Engineering Physics Department Airlangga University Surabaya City 60115 Indonesia. Electronic address: davidw@dragon.nchu.edu.tw. State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical Technology Beijing 100029 PR China. Electronic address: yuanqp@***.

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ICT-based learning media development

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Journal of Physics: Conference Series 2020年第1期1446卷

作者： Setuju D Ratnawati A Wijayanti W Widodo B R Setiadi Department of Mechanical Engineering Education Universitas Sarjanawiyata Tamansiswa Indonesia Science Education Study Program Universitas Sarjanawiyata Tamansiswa Indonesia Department of Mechanical Engineering Education Universitas Negeri Yogyakarta Indonesia

This research aimed at developing ICT-based learning media for independent learning. The subjects of the research were Mechanical engineering students of Universitas Sarjanawiyata Tamansiswa. By adopting Borg & Gall's research and development model, this research was done in four stages, namely: (1) identification stage; (2) design and development stage; (3) production stage; and (4) evaluation stage. Questionnaires were the instrument used for data collection techniques, and the descriptive quantitative method was the data analysis technique. The results of the development of ICT-based learning media earned positive appraisals on the ease of use aspect with a percentage of 50%, and the display aspect with a percentage of 62.50%. In conclusion, ICT-based learning media that was developed on several vocational materials can be used as a learning media for independent learning.

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BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

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Nature methods 2023年第6期20卷 824-835页

作者： Linus Manubens-Gil Zhi Zhou Hanbo Chen Arvind Ramanathan Xiaoxiao Liu Yufeng Liu Alessandro Bria Todd Gillette Zongcai Ruan Jian Yang Miroslav Radojević Ting Zhao Li Cheng Lei Qu Siqi Liu Kristofer E Bouchard Lin Gu Weidong Cai Shuiwang Ji Badrinath Roysam Ching-Wei Wang Hongchuan Yu Amos Sironi Daniel Maxim Iascone Jie Zhou Erhan Bas Eduardo Conde-Sousa Paulo Aguiar Xiang Li Yujie Li Sumit Nanda Yuan Wang Leila Muresan Pascal Fua Bing Ye Hai-Yan He Jochen F Staiger Manuel Peter Daniel N Cox Michel Simonneau Marcel Oberlaender Gregory Jefferis Kei Ito Paloma Gonzalez-Bellido Jinhyun Kim Edwin Rubel Hollis T Cline Hongkui Zeng Aljoscha Nern Ann-Shyn Chiang Jianhua Yao Jane Roskams Rick Livesey Janine Stevens Tianming Liu Chinh Dang Yike Guo Ning Zhong Georgia Tourassi Sean Hill Michael Hawrylycz Christof Koch Erik Meijering Giorgio A Ascoli Hanchuan Peng Institute for Brain and Intelligence Southeast University Nanjing China. Microsoft Corporation Redmond WA USA. Tencent AI Lab Bellevue WA USA. Computing Environment and Life Sciences Directorate Argonne National Laboratory Lemont IL USA. Kaya Medical Seattle WA USA. University of Cassino and Southern Lazio Cassino Italy. Center for Neural Informatics Structures and Plasticity Krasnow Institute for Advanced Study George Mason University Fairfax VA USA. Faculty of Information Technology Beijing University of Technology Beijing China. Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China. Nuctech Netherlands Rotterdam the Netherlands. Janelia Research Campus Howard Hughes Medical Institute Ashburn VA USA. Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada. Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing Anhui University Hefei China. Paige AI New York NY USA. Scientific Data Division and Biological Systems and Engineering Division Lawrence Berkeley National Lab Berkeley CA USA. Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience UC Berkeley Berkeley CA USA. RIKEN AIP Tokyo Japan. Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan. School of Computer Science University of Sydney Sydney New South Wales Australia. Texas A&M University College Station TX USA. Cullen College of Engineering University of Houston Houston TX USA. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. National Centre for Computer Animation Bournemouth University Poole UK. PROPHESEE Paris France. Department of Neuroscience Columbia University New York NY USA. Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University New York NY USA. Department of Computer Science Northern Illinois Universit

BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is representative of the data obtained in many neuroscience laboratories interested in neuron tracing. Here, we report generated gold standard manual annotations for a subset of the available imaging datasets and quantified tracing quality for 35 automatic tracing algorithms. The goal of generating such a hand-curated diverse dataset is to advance the development of tracing algorithms and enable generalizable benchmarking. Together with image quality features, we pooled the data in an interactive web application that enables users and developers to perform principal component analysis, t-distributed stochastic neighbor embedding, correlation and clustering, visualization of imaging and tracing data, and benchmarking of automatic tracing algorithms in user-defined data subsets. The image quality metrics explain most of the variance in the data, followed by neuromorphological features related to neuron size. We observed that diverse algorithms can provide complementary information to obtain accurate results and developed a method to iteratively combine methods and generate consensus reconstructions. The consensus trees obtained provide estimates of the neuron structure ground truth that typically outperform single algorithms in noisy datasets. However, specific algorithms may outperform the consensus tree strategy in specific imaging conditions. Finally, to aid users in predicting the most accurate automatic tracing results without manual annotations for comparison, we used support vector machine regression to predict reconstruction quality given an image volume and a set of automatic tracings.

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Changes in electroencephalography complexity of acute Ischemic stroke: A fuzzy approximate entropy analysis

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AIP Conference Proceedings 2020年第1期2314卷

作者： Osmalina Nur Rahma Alfian Pramudita Putra Angga Bagus Prasetyo Riries Rulaningtyas Sastra Kusuma Wijaya 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Airlangga University Indonesia 2Department of Physics Faculty of Mathematics & Natural Science University of Indonesia Indonesia

Stroke is one of the leading causes of death in the world. The previous study had shown that EEG (Electroencephalogram) was a promising tool to detect stroke since it is non-invasive and cheap. So, the EEG analysis method needs to be more explored to give an accurate prognosis assessment. Previously, complexity analysis, such as Fuzzy Approximate Entropy (fApEn), had been successfully differentiated between control and patients with Alzheimer's Disease. Thus, this study used fApEn to analyse the changes of electroencephalography complexity in Acute Ischemic Stroke (AIS) during hyperventilation and photic stimulation, which are a general protocol to investigate the abnormality in EEG. Photic stimulation conducted using white light that flashed with frequency 5Hz, 10Hz, and 15Hz consecutively for three minutes and then continued by hyperventilation for three minutes, approximately. This study compared the fApEn value from healthy subjects with AIS patients. The result showed that patient with AIS tended to conduct the lower and higher fApEn value compared to the healthy subject. The lower value of fApEn occurred because of the presence of the slow-waves on the EEG, while the higher fApEn indicated the epileptiform activity during the recording. The increment of the slow-waves and the presence of epileptiform activity could be considered as the characteristic of stroke even though its appearance is uncertain. However, complexity analysis of EEG could be useful in differentiating the healthy subject and patient with stroke or classifying the severity level of the stroke to improve stroke management.

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Calcium release and physical properties of modified carbonate apatite cement as pulp capping agent in dental application

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Biomaterials Research 2018年第1期22卷 1-6页

作者： Zakaria, Myrna Nurlatifah Cahyanto, Arief El-Ghannam, Ahmed Department of Endodontology and Operative Dentistry Program Study of Dentistry Faculty of Medicine Universitas Jenderal Achmad Yani Cimahi Indonesia Department of Dental Materials Science and Technology Faculty of Dentistry Universitas Padjadjaran Sumedang-Jatinangor Indonesia Department of Mechanical Engineering and Engineering Science The University of North Carolina at Charlotte Charlotte NC United States

Background: Carbonate apatite (CO3Ap) and silica-calcium phosphate composite (SCPC) are bone substitutes with good prospect for dental application. SCPC creates a hydroxyapatite surface layer and stimulate bone cell f... 详细信息

Background: Carbonate apatite (CO₃Ap) and silica-calcium phosphate composite (SCPC) are bone substitutes with good prospect for dental application. SCPC creates a hydroxyapatite surface layer and stimulate bone cell function while, CO₃Ap induce apatite crystal formation with good adaptation providing good seal between cement and the bone. Together, these materials will add favorable properties as a pulp capping material to stimulate mineral barrier and maintain pulp vitality. The aim of this study is to investigate modification of CO₃Ap cement combined with SCPC, later term as CO₃Ap-SCPC cement (CAS) in means of its chemical (Calcium release) and physical properties (setting time, DTS and pH value). Methods: The study consist of three groups;group 1 (100% calcium hydroxide, group 2 CO₃Ap (60% DCPA: 40% vaterite, and group 3 CAS (60% DCPA: 20% vaterite: 20% SCPC. Distilled water was employed as a solution for group 1, and 0.2 mol/L Na₃PO₄ used for group 2 and group 3. Samples were evaluated with respect to important properties for pulp capping application such as pH, setting time, mechanical strength and calcium release evaluation. Results: The fastest setting time was in CO₃Ap cement group without SCPC, while the addition of 20% SCPC slightly increase the pH value but did not improved the cement mechanical strength, however, the mechanical strength of both CO₃Ap groups were significantly higher than calcium hydroxide. All three groups released calcium ions and had alkaline pH. Highest pH level, as well as calcium released level, was in the control group. Conclusion: The CAS cement had good mechanical and acceptable chemical properties for pulp capping application compared to calcium hydroxide as a gold standard. However, improvements and in vivo studies are to be carried out with the further development of this material. © The Author(s).

关键词： Carbonate apatite CO3Ap-SCPC cement Pulp capping Silica-calcium phosphate composite

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