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Catalytic effect of Titanium Dioxide (TiO2) on the kinetic and thermodynamic parameters of Tetraselmis chuii microalgae during the pyrolysis

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Journal of Physics: Conference Series 2020年第1期1595卷

作者： A E Widiono S Sukarni R Wulandari P Puspitasari A A Permanasari A Prasetiyo Master Program of Mechanical Engineering Graduate School Universitas Negeri Malang Jl. Semarang 5 Malang 65145 Indonesia Center for Renewable and Sustainable Energy Engineering (CRSEE) Department of Mechanical Engineering Universitas Negeri Malang Jl. Semarang 5 Malang 65145 Indonesia Centre of Advanced Materials for Renewable Energy (CAMRY) Universitas Negeri Malang Jl. Semarang No 5 Malang 65145 Indonesia

The catalytic effect of TiO2 during the pyrolysis of Tetraselmis chuii (***) microalgae was studied using a thermal analyzer. Pyrolysis experiment was occupied on the sample that was a mixture of 10 mg microalgae and 5% TiO2 and the result was compared with microalgae and microalgae with 3% TiO2. The presence of 5% TiO2 into the microalgae affected decreasing the initial and final temperatures of degradation by approximately 17 °C (at Stage 2) and 35 °C (at Stage 3) respectively. The activation energy that was evaluated using the Coats-Redfern method for Stage 2 indicated the decreasing value of around 18.39 kJ/mol and increases in Stage 3 by 3.27 kJ/mol. The overall results indicated that addition of TiO2 has significantly influenced the conversion process of T. chuii microalgae.

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Machine Learning-Based Prediction Model of Drug-Drug Interactions for Histamine Antagonist Using Hybrid Chemical Features

SSRN

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SSRN 2021年

作者： Luong, Huu Dang Nguyen, Tan Dung Le, Quang Hung Le, Ngoc Hoang Nguyen, Thi Diem Truong, Nguyen Khanh Hung Luu, Ho Thanh Lam Nguyen, Thi Thuy Nga Le, Van Tuan Hung, Shih-Han Khanh, Nguyen Quoc Department of Otolaryngology Faculty of Medicine University of Medicine and Pharmacy at Ho Chi Minh City Ho Chi Minh city Viet Nam Department of Rehabilitation Hospital of C Da Nang Da Nang city Viet Nam Department of Rehabilitation Da Nang University of Medical Technology and Pharmacy Da Nang city Viet Nam Department of Otolaryngology University Medical Center Ho Chi Minh city Viet Nam Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University Taipei City Taiwan Department of Otolaryngology Cai Lay Regional General Hospital Tien Giang province Viet Nam International Master/Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei City Taiwan Department of Orthopedic and Trauma Cho Ray Hospital Ho Chi Minh city Viet Nam Faculty of Nursing and Midwifery Hanoi Medical University Ha Noi Viet Nam Department of Otolaryngology School of Medicine College of Medicine Taipei Medical University Taipei City Taiwan Department of Otolaryngology Wan-Fang Hospital Taipei Medical University Taipei city Taiwan Professional Master Program in Artificial Intelligence in Medicine College of Medicine Taipei Medical University Taipei Taiwan

To shorten the clinical development process of a new drug or a combination of drugs in daily prescriptions, especially blockbuster drugs, predicting the effect of drug-drug interactions (DDIs) precisely is important for preventing adverse drug reactions and for more effective drug administration. Many computational algorithms have been developed to predict the effects of DDIs with the purpose of reducing hazards that can affect the health of patients in merging-medication therapies. In this research, we propose a comprehensive machine learning model to assist with the prediction of drug interactions in the histamine antagonist interaction-network. The data used in our research consisted of approved drugs of histamine antagonists that are connected to 67,317 DDI pairs in the DrugBank database. The drug-drug interaction features were extracted using the SMILE structure combined with the PyBioMed module. We then applied five algorithms in the histamine antagonist interaction-network inference (HAINI) framework: Naive Bayes (NB), Decision Tree (DT), Random Forest (RF), Logistic Regression (LR), and Multilayer Perceptron (MP) with fivefold cross-validation to approach a large-scale DDI prediction. The predictive performance shows that our model outperformed previously published works on DDI prediction with the best precision of 0.898, a recall of 0.792, and an F1-score of 0.836 among 51 well-known DDIs. An important finding of the study is that our prediction is based solely on the SMILE and thus can be applied at early stage of drug development. © 2021, The Authors. All rights reserved.

关键词： Drug interactions

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The research-based learning development model as a foundation in generating research ideas

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AIP Conference Proceedings 2017年第1期1887卷

作者： Poppy Puspitasari Johan Wayan Dika Avita Ayu Permanasari 1Mechanical Engineering Department Engineering Faculty Universitas Negeri Malang Semarang St. No. 5 Malang East Java Indonesia 2Center of Advanced Materials Universitas Negeri Malang Semarang St. No. 5 Malang East Java Indonesia 3Master’s Program Vocational Education Department Postgraduate Program Universitas Negeri Malang Semarang St. No. 5 Malang East Java Indonesia

Research Based Learning is learning that requires students to have exploration skills related to their field. By doing so, students are encouraged to create skills in managing the higherorder of abstraction in order to resolve any problems encountered. The study was done to make the schemes and sequences of learning needed by the students in order to help them to explore first ideas for their upcoming thesis. The scheme development resulted in five stages consisting of 1) identifying research journals; 2) track the development of research topics; 3) reviewing research journals; 4) discussing the results of the reviews; and 5) formulating the research topic. Furthermore, the application of 5 the stage receives percentage agreement of students was 85.9%. Therefore, it can be noted that the application of the scheme is definitely a help for students to find research ideas.

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A SYSTEMS LOOK AT WEAPONS TRAINING

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Naval Engineers Journal 1964年第6期76卷 969-972页

作者： SHEPHERD, FRANCIS W. THE AUTHOR:was a Sergeant in the Army Air Force in World War II. Since that time he has been employed at the Naval Proving Ground Dahlgren in the Bureau of Ordnance in both the Research and Materials Divisions and in several industrial organizations on Navy contracts. He has been a systems designer of Navy trainers at the Minneapolis-Honeywell West Covina California plant and he is now with the Honeywell Military and Space Sciences Department in Washington D. C. Besides his BME (College of the City of New York) and MSME (University of Minnesota) he obtained the Master of Engineering Administration Degree from George Washington University under the Navy Senior Management Development Program.

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Effects of chemical treatment on the structure and morphology of bacterial cellulose film

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AIP Conference Proceedings 2019年第1期2120卷

作者： Tito Arif Sutrisno Heru Suryanto Retno Wulandari M. Muhajir 1Master Student of Mechanical Engineering Program Graduate School Universitas Negeri Malang Jl. Semarang 5 Malang East Java Indonesia 2Centre of Advanced Materials for Renewable Energy Universitas Negeri Malang Jl. Semarang 5 Malang East Java Indonesia65140 3Mechanical Engineering Department Engineering Faculty Universitas Negeri Malang Jl. Semarang 5 Malang East Java Indonesia

Development of extraction process of Bacterial Cellulose (BC) using chemical treatment in order to be developed as reinforcement in the composite product to improve fiber compatibility of BC in polymer metric. This study aimed to know the effect of chemical treatment against the structure and morphology of BC film. The methods used to make a film from BC fiber obtained from pineapples’ peels waste. Pellicle was fermented for 14 days then washed by distilled water prior to treatment. Pellicle soaked in a chemical solution such as NaOH, H2O2, Bmimcl with each concentration of 2.5% for 2 hours then dried in the oven and the result was analyzed using SEM and XRD. The result showed that chemical treatment against BC decreased the intensity and crystallite size. On distilled water immersion (as control), the highest peak diffraction located in peak 22.63 °2θ with intensity of 292.31 counts, the crystallite size of 10.01 nm, after NaOH, H2O2 and BmimCl chemical treatment, the peak intensity decreased consecutively to 251.19 counts, 269.32 counts, and 241.49 counts as well as crystallite size decrease to 3.61 nm, 4.07 nm, and 5.11 nm, respectively. SEM observation showed that BC film treated using distilled water wasn’t damaged, while fiber and pellicle which treated using NaOH had a lot of damage.

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Application of nanocatalyst iron oxide (Fe2O3) to reduce exhaust emissions (CO and HC)

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IOP Conference Series: materials Science and engineering 2018年第1期432卷

作者： P Puspitasari C Yazirin L A Bachtiar J W Dika SM S N S Zaharis Mechanical Engineering Department Engineering Faculty Malang State University Semarang street 5 Malang East Java Indonesia Center of Nano Research and Advanced Materials Malang State University Semarang street 5 Malang East Java Indonesia Master Program of Mechanical Engineering Engineering Faculty Malang State University Semarang street 5 Malang East Java Indonesia Bachelor Program Mechanical Engineering Department Malang State University Semarang street 5 Malang East Java Indonesia Industrial Chemical Technology Programme Faculty of Science and Technology Universiti Sains Islam Malaysia Bandar Baru Nilai 71800 Nilai Negeri Sembilan

Fe2O3 has been the interest of many studies due to its applications in various scientific and industrial fields including in environment, corrosion, soil science, and exhaust emissions. Fe2O3 is a chemical mixture that can be applied as a catalyst to reduce exhaust emissions because it is capable of binding CO and HC contained in motorcycle exhaust gases The growth of motor vehicles results in air pollution and an increase in exhaust emissions consisting of 70.50% CO and 18.34% HC. One effort to reduce exhaust emission levels is by applying a catalytic converter to the exhaust system. This research was an experimental research aiming to investigate the difference in emission level of CO and HC between a motorcycle with and without a catalytic converter. The types of fuel used were RON 88, RON 90, RON 92, and RON 98. The results showed that the application of Fe2O3 as a catalyst could reduce the level of CO significantly in RON 88, i.e. 91.43% CO, and the level of HC in RON 88 and RON 92, i.e. 53.27% and 91.07% HC respectively.

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CCL5 Protects Cortical Neuron Function by Regulating M2 Microglia Activation After Mild Traumatic Brain Injury

SSRN

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SSRN 2022年

作者： Tsai, Yih-Jeng Ho, Man-Hau Yen, Chia-Hung Wang, Jia-Yi Burnouf, Thierry Chen, Chia-Yen Wang, Yun Chiang, Yung-Hsiao Hoffer, Barry J. Chou, Szu-Yi Department of Otolaryngology Head and Neck Surgery Shin Kong Wu HoSu Memorial Hospital Taipei Taiwan School of Medicine Fu Jen Catholic University New Taipei City Taiwan Ph.D. Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University National Health Research Institute Taiwan Graduate Institute of Neural Regenerative Medicine College of Medical Science and Technology Taipei Medical University Taipei Taiwan Department of Biological Science and Technology National Pingtung University of Science and Technology Neipu Pingtung91201 Taiwan Graduate Institute of Medical Sciences College of Medicine Taipei Medical University Taipei11031 Taiwan Department of Neurosurgery Taipei Medical University Hospital Taipei11031 Taiwan Neuroscience Research Center Taipei Medical University Taipei11031 Taiwan International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei Taiwan Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University Taipei Taiwan NeuroTMULille International Laboratory Taipei Medical University Taipei Taiwan International PhD Program in Cell Therapy and Regeneration Medicine College of Medicine Taipei Medical University Taipei Taiwan Brain and Consciousness Research Centre TMU Shuang Ho Hospital New Taipei City Taiwan Center for Neuropsychiatric Research National Health Research Institutes Zhunan Miaoli County Taiwan Department of Surgery School of Medicine College of Medicine Taipei Medical University 11031 Taiwan Department of Neurosurgery Case Western Reserve University School of Medicine ClevelandOH United States Scientist Emeritus National Institutes of Health United States International Master Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University Taipei Taiwan

Cytokines and chemokines play important roles in inflammation and repair following brain injury. M1 microglia are pro-inflammatory which produce cytokines and lead to neural injury;in contrast, M2 microglia are anti-inflammatory, release neurotrophic factors, and promote neural repair processes. Chemokine CCL5, increased after TBI, shows a neuroprotective function by reducing oxidative stress. CCL5 may contribute to the balance between oxidative stress and immune responses after brain injury. Herein, we investigated the role of CCL5 in microglial polarization after mild traumatic brain injury, focusing on the cerebral cortex.C57BL/6 and CCL5 knockout (CCL5-KO) mice were given a mild traumatic brain injury (TBI) using weight-drop. Neurological parameters such as motor and sensory functions were analyzed by mNSS score, accelerating rotarod, beam walking, and adhesive removal tests. Oxidative stress and neuron damage were measured by NADPH oxidase activity, hypoxyloprobe staining and FJC. Performance of motor and sensory functions in both WT and CCL5-KO mice were impaired after brain injury which recovered after 7 days-post-injury (dpi) in the WT group but only after 14 days in the CCL5-KO mouse group. RT-qPCR analysis revealed that pro-inflammation cytokines - IL-1β, TNF-α, and IL-6 were higher in CCL5-KO mice compared to WT mice at 4 and 14 dpi. In contrast, M2-like microglia markers - IL-10 and Agr-1 were increased in WT mouse cortical tissue at 4 dpi. Oxidative stress increased both M1 and M2- related cytokine expression in BV2 cells treated with H 2 O 2;CCL5 treatment increased M2- but suppressed M1- related cytokine gene activation. Intranasal delivery of CCL5 reduced neuronal oxidative stress, increased IL-10 expression and improved motor and sensory functions in CCL5-KO mice after brain *** summary, CCL5, which alters immune responses and protects neurons from TBI damage, has an important function in regulating M2-like microglial polarization during post-

关键词： Polarization

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A Particle Detection Modeling of Non-contact Coplanar Differential Impedance Sensor in Microfluidic System

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Journal of Physics: Conference Series 2018年第1期1144卷

作者： K Masaen J Sanglao P Chimsiri R Techapiesancharoenkij N Pussadee Master's Degree Program in Physics Faculty of Science Chiang Mai University Chiang Mai 50200 Thailand Department of Materials Engineering Faculty of Engineering Kasetsart University Bangkok 10900 Thailand Thailand Center of Excellence in Physics Commission on Higher Education 328 Si Ayutthaya Road Bangkok 10400 Thailand Plasma and Beam Physics Research Facility Department of Physics and Materials Science Chiang Mai University Chiang Mai 50200 Thailand Research Center in Physics and Astronomy Faculty of Science Chiang Mai University Chiang Mai 50200 Thailand

Over the last few years, study of microfluidic flow cytometry using electrical signals has developed at a fast pace. There are several electrical detection congurations but differential impedance sensing offers a greater advantage due to its capability of cancelling common noise from the detected signal, resulting in improved signal to noise ratio. This paper presents the simulation of a differential impedance sensor by employing the finite element method to gain an insight and to find the proper range of the working excitation frequency for the detection system. A polystyrene microbead was used as a model particle flowing past the detection area that had non-contact excitation and two pickup coplanar electrodes in which an excitation electrode was positioned between the two pickup electrodes. The modeling results showed that for a 2 μm PDMS separation layer, the range of optimal excitation frequency was about 100 - 1000 Hz when DI water was a background medium. The bead size to microchannel height ratio was found to affect the sensitivity of detection, in which the closer the height ratio was to the unity ratio, the more current was detected. The results of the simulation study will be used in fabricating an actual device for microfluidic particle cytometry applications.

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Fabrication of SiN films at low temperature by RF biased coaxial-line microwave plasma CVD

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ELECTRONICS AND COMMUNICATIONS IN JAPAN PART II-ELECTRONICS 1996年第11期79卷 58-65页

作者： Morita, Y Kato, I Nakajima, T School of Science and Engineering Waseda University Tokyo Japan Received a B.S. in 1992 from the Department of Electronics and Communication Waseda University. He is now enrolled in the Ph.D. program at the same university. He has been involved in research on microwave plasma CVD. He is a member of the Japanese Society of Applied Physics. Received the B.S. and Ph.D. degrees from the Department of Electronics and Communication Waseda University in 1967 and 1973 respectively. In 1973 he joined the faculty of Waseda University becoming an associate professor in 1978. He was Visiting Professor at Manitoba University Canada in 1979–1981. He has supervised research and participated in joint research with die Canadian National Research Council. He became a professor at Waseda University in 1993. He has been involved in research on microwave plasma CVD photonics lasers electronic materials evaluation technologies photonic materials opto-quantum electronics and semiconductor dun films. He is a member of die IEE of Japan die Japan Society of Applied Physics die TV Society die Japanese Vacuum Society and IEEE. Received die B.S. from die Department of Electronics and Communication Waseda University in 1994. He is now enrolled in die master's program at die same university. He has been involved in research on microwave plasma CVD. He is a member of die Japan Society of Applied Physics.

This paper discusses the influence of ion bombardment on the characteristics of SiN films. In this study, the double-tube coaxial-line microwave plasma CVD system, which is suitable for the investigation of ion bombardment, is used to deposit SiN films. The ion bombardment energy is varied by varying the RF bias at constant ion density, As the RF bias is increased, the film density increases and the hydrogen concentration decreases, but the dangling bond density increases. The increase in the film density and decrease of hydrogen concentration are caused by the increase in film surface temperature, while the increase of the dangling bond density is caused by bond breakage due to the N+ ion implantation. When the substrate temperature is 200 degrees C and the RF bias is -175 V, the film density is 3 g/cm(3) and the hydrogen concentration is 9 at.% because of the film surface heating effect of ion bombardment acid also due to substrate heating. Substrate heating at 200 degrees C suppresses the increase in the dangling bond density. It is also demonstrated that the film surface temperature is about 200 degrees C when RF bias is -70 similar to-80 V and the substrate is unheated by any heater.

关键词： microwave plasma CVD SiN film RF bias ion bombardment effect film surface hearing effect

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Mechanical properties of bacterial nanocellulose membrane from pineapple peel waste after homogenization process

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AIP Conference Proceedings 2019年第1期2120卷

作者： Taufiq Mahsuli Heru Suryanto Aisyah Larasati Muhammad Muhajir 1Master Student of Mechanical Engineering Program Graduate School Universitas Negeri Malang Jl. Semarang 5 Malang East Java Indonesia 2Centre of Advanced Materials for Renewable Energy Universitas Negeri Malang Jl. Semarang 5 Malang East Java Indonesia65140 3Mechanical Engineering Department Engineering Faculty Universitas Negeri Malang Jl. Semarang 5 Malang East Java Indonesia 4Department of Industrial Engineering Faculty of Engineering Universitas Negeri Malang Jl. Semarang 5 Malang East Java Indonesia

Bacterial nanocellulose (BNC) has unique physical properties such as having high crystallinity, mechanical strength, purity, porosity, high water absorption capacity and biodegradable. This research aims to investigate the effect of high-pressure homogenizer (HPH) treatment cycle on the tensile strength and morphology of BNC membrane. This experiment begins from pineapple peel waste juice added with Acetobacter xylinum incubated for 14 days. The yielded pellicle then washed by distilled water then immersed in 1% NaOH for 24 h and pellicle well disintegrated using a high-speed blender, followed by homogenizing using HPH with repetition of 5 cycles at 150 bar. The solution was cast into a rectangular glass container and dried into an oven at 60 °C for 8 h. Results show that the tensile strength of BNC was 77.76 MPa and 75.97 MPa for membrane without HPH process and HPH process, respectively. The elastic modulus of BNC was16 GPa and 27.25 GPa for membrane without HPH process and HPH process, respectively. Morphological analysis using Scanning electron microscopy (SEM) showed the pores of BNC membrane prepared using HPH smaller than non-HPH. This means that the BNC membrane prepared by HPH was dense compared than Non-HPH membrane. Dense membrane caused a higher strength of the membrane.

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