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Characterization, differentiation, and population doubling time of Wharton’s jelly mesenchymal stem cells (WJ-MSCs) in passage 5 and 8

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AIP Conference Proceedings 2021年第1期2344卷

作者： Rizal Rahimi Syaidah Ziyan Muhammad Aqsha Adella Josephin Vidi Miranda Pakpahan 1Biomedical Engineering program Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia 2Department of Histology Faculty of Medicine Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia 3Undergraduate Program in Biomedical Engineering Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia

Wharton’s jelly mesenchymal stem cells (WJ-MSCs) is proposed to be the best source of mesenchymal stem cells (MSCs). It has better self-renewal and differentiation capacity compare to adult stem cells such as bone marrow- derived stem cells (BM-MSCs). However, their characteristics in different passages do not yet well described. This research aims to isolate and characterize WJ-MSCs with regard to their proliferation capacity, immunophenotypes, and differentiation capacity. The WJ-MSCs were isolated by the explant method. The cultured WJ-MSCs at P5 and P8 were then characterized using flow cytometric analysis with regard to its surface marker, which are CD44, CD90, CD105, CD73, and negative lineages. The proliferation capacity of WJ-MSCs was analyzed with the population doubling time method and the characterized cells were differentiated into three different lineages. The result revealed that the isolated cells highly express MSCs surface marker with >98% for all surface markers and 0.00% for negative lineages. Isolated WJ-MSCs also exhibited a high proliferation capacity with a range of 1.06 to 1.59 days. Both passages revealed excellent differentiation capacity into chondrocytes, adipocytes, and osteocytes.

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Effects of variation of chitosan concentration on the characteristics of membrane cellulose bacteria-chitosan biocomposites as candidates for artificial dura mater

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AIP Conference Proceedings 2017年第1期1817卷

作者： Prihartini Widiyanti Hajria Jabbar Djony Izak Rudyardjo 1Biomedical Engineering Study Program Faculty of Science and Technology Universitas Airlangga Surabaya 60115 Indonesia 2Institute of Tropical Disease Universitas Airlangga Surabaya 60115 Indonesia 3Physics Study Program Faculty of Science and Technology Universitas Airlangga Surabaya 60115 Indonesia

This study was conducted to determine the effect of variation in concentration of chitosan on the physical and biological characteristics of the membrane of bacterial cellulose-chitosan biocomposites through immersion precipitation method. Bacterial cellulose membrane was soaked in a solution of chitosan whose concentration variation are 0.1%; 0.3%; 0.5% and 0.7%. The characterization tests which were conducted included the analysis of functional groups (FTIR), tensile strength test, morphology test (SEM), and cytotoxicity assay using MTT Assay method. Based on the cluster analysis test, the results of FTIR spectra indicate changes in the physical bond which means that there is interaction between the bacterial cellulose membrane with chitosan on each sample. The bacteria produced cellulose membrane with tensile strength of 10.53 ± 0.19 MPa while the microbial cellulose membrane by adding 0.5% chitosan concentration had tensile strength value of 8:58 ± 0.19 MPa. It shows that with the addition of chitosan it would decrease the tensile strength in microbial cellulose membrane. This was shown by 496.2 nm - 2,032 µm pore size with a thickness (mm) of 0:35 ± 0.33 to 0.81 ± 0.26. Based on the test results of the analysis of functional groups, tensile strength test, and morphology test, membrane microbial cellulose-chitosan biocomposites have the potential to be used as artificial dura mater candidate.

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Preliminary study of the polymesoda expansa based hydroxyapatite for medical devices coating application

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AIP Conference Proceedings 2020年第1期2306卷

作者： M. Riza Roslan N. F. Mohd Nasir M. A. Gilani Nur Farahiyah Mohammad E. M Cheng M. F. Abdul Khalid A. S. Zoolfakar N. A. M. Amin S. F. Khan 1Biomedical Electronic Engineering Program School of Mechatronic Engineering Universiti Malaysia Perlis Perlis Malaysia 2Microwave Research Institute (MRI) Universiti Teknologi Mara Shah Alam Malaysia 3Faculty of Electrical Engineering Universiti Teknologi Mara Shah Alam Malaysia 4Mechanical Engineering Program School of Mechatronic Engineering Universiti Malaysia Perlis Perlis Malaysia

Hydroxyapatite (HA) which is a group of calcium phosphate (CaP) is used as a medical devices coating due to its ability to increase the bioactivity and biocompatibility of the device surface. The attraction of using waste seashells products is interesting due to its sustainability and low cost solution especially in biomedical application. Polymesoda expansa or locally known as Lokan is potentially rich with calcium carbonate (CaCO3). Here, the synthesis of HA was done via precipitation method by utilizing the Polymesoda expansa (Lokan) shells as the resource of calcium precursors. Hydroxyapatite synthesized from Polymesoda expansa was carried out with different pH solution (pH 9 and 13) in alkaline environment. The effects of pH on the morphological and chemical composition properties as well as the Ca/P ratio of HA powders were analyzed through Scanning Electron Microscopy (SEM), Fourier Transform Infrared Spectroscopy (FTIR), and Energy Dispersive X-ray Spectrometry (EDS). The finding demonstrates as the pH increases, the calcium apatite reduced and this had increases the Ca/P ratio.

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Lumen and nuclei detection in histopathology of prostate cancer based on morphological feature extraction

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AIP Conference Proceedings 2023年第1期2554卷

作者： S. T. Yukiko Irliyani Riries Rulaningtyas S. Anny Rahaju I. Made Mas Dwiyana Prasetya Wibawa 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Airlangga University Surabaya Indonesia 2Anatomical Pathology Department Medical Faculty Universitas Airlangga Dr. Soetomo Academic Hospital Universitas Airlangga Hospital Surabaya Indonesia

Prostate cancer is the most common cancer in men. The results of a fast and precise classification can be a fundamental objective of reference. Histological assessment is valuable information for doctors. The most common assessment for histological assessment of prostate cancer is the Gleason Grading System. Gleason pattern detection was done by extracting morphological features in the form of Line Length, Area Fraction, and the comparison between Line Length and Area Fraction. All morphological features become the input of backpropagation. Based on the results of backpropagation testing, this method can classify Gleason pattern images with an accuracy of 91.67%. The threshold of segmentation in determining the lumen and nucleus did not have a specific range in its threshold due to the lack of uniform contrast in each image.

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Collagen-chitosan scaffold - Lauric acid plasticizer for skin tissue engineering on burn cases

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AIP Conference Proceedings 2017年第1期1817卷

作者： Prihartini Widiyanti Ewing Dian Setyadi Djony Izak Rudyardjo 1Biomedical Engineering Faculty of Science and Technology Universitas Airlangga Mulyorejo Surabaya 60115 Indonesia 2Institute of Tropical Disease Universitas Airlangga Mulyorejo Surabaya 60115 Indonesia 3Physics Study Program Faculty of Science and Technology Universitas Airlangga Mulyorejo Surabaya 60115 Indonesia

The prevalence of burns in the world is more than 800 cases per one million people each year and this is the second highest cause of death due to trauma after traffic accident. Many studies are turning to skin substitute methods of tissue engineering. The purpose of this study is to determine the composition of the collagen, chitosan, and lauric acid scaffold, as well as knowing the results of the characterization of the scaffold. The synthesis of chitosan collagen lauric acid scaffold as a skin tissue was engineered using freeze dried method. Results from making of collagen chitosan lauric acid scaffold was characterized physically, biologically and mechanically by SEM, cytotoxicity, biodegradation, and tensile strength. From the morphology test, the result obtained is that pore diameter size ranges from 94.11 to 140.1 µm for samples A,B,C,D, which are in the range of normal pore size 63-150 µm, while sample E has value below the standard which is about 37.87 to 47.36 µm. From cytotoxicity assay, the result obtained is the percentage value of living cells between 20.11 to 21.51%. This value is below 50% the standard value of living cells. Incompatibility is made possible because of human error mainly the replication of washing process over the standard. Degradation testing obtained values of 19.44% - 40% by weight which are degraded during the 7 days of observation. Tensile test results obtained a range of values of 0.192 - 3.53 MPa. Only sample A (3.53 MPa) and B (1.935 MPa) meet the standard values of skin tissue scaffold that is 1-24 MPa. Based on the results of the characteristics of this study, composite chitosan collagen scaffold with lauric acid plasticizer has a potential candidate for skin tissue engineering for skin burns cases.

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Expert system for risk prediction of cesarean section delivery with Dempster Shafer method

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AIP Conference Proceedings 2020年第1期2314卷

作者： Ismaiba Riries Rulaningtyas Katherine Ernawati 1Biomedical Engineering Program Study Faculty of Science and Technology Universitas Airlangga Campus C Zip Code: 60115 Surabaya East Java Indonesia 2Fetomaternal Division of Obstetrics and Gynecology Department Faculty of Medicine Universitas Airlangga Campus A Zip Code: 60131 Surabaya East Java Indonesia

The maternal mortality rate in Indonesia is related to the lack of knowledge of mothers regarding high-risk pregnancies, especially with cesarean delivery. In this case, the prediction system designed is done as an effort to increase the awareness of mothers or women who were preparing for high-risk pregnancies. In this article, an Android-based prediction application will be presented using an expert system with the Dempster Shafer method. This method is based on a mathematical theory which consists of a combination of belief function and plausible reasoning from the risk parameters of each labor class by representing the knowledge obtained from experts. This study uses 16 risk parameters as input based on Poejo Rochati's high-risk pregnancy card with 2 outputs, with risk or no risk of having cesarean delivery. The result obtained from this system is 85%, concludes that the prediction system is able to predict the risk of cesarean delivery.

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EEG channels reduction using PCA to increase XGBoost’s accuracy for stroke detection

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AIP Conference Proceedings 2017年第1期1862卷

作者： N. Fitriah S. K. Wijaya M. I. Fanany C. Badri M. Rezal 1Biomedical Engineering Study Program Universitas Indonesia Jl. Salemba Raya No. 4 Jakarta 10430 DKI Jakarta Indonesia 2Department of Physics Faculty of Mathematics and Natural Sciences (FMIPA) Universitas Indonesia Depok 16424 Indonesia 3Faculty of Computer Science Universitas Indonesia Depok 16424 Indonesia

In Indonesia, based on the result of Basic Health Research 2013, the number of stroke patients had increased from 8.3 ‰ (2007) to 12.1 ‰ (2013). These days, some researchers are using electroencephalography (EEG) result as another option to detect the stroke disease besides CT Scan image as the gold standard. A previous study on the data of stroke and healthy patients in National Brain Center Hospital (RS PON) used Brain Symmetry Index (BSI), Delta-Alpha Ratio (DAR), and Delta-Theta-Alpha-Beta Ratio (DTABR) as the features for classification by an Extreme Learning Machine (ELM). The study got 85% accuracy with sensitivity above 86 % for acute ischemic stroke detection. Using EEG data means dealing with many data dimensions, and it can reduce the accuracy of classifier (the curse of dimensionality). Principal Component Analysis (PCA) could reduce dimensionality and computation cost without decreasing classification accuracy. XGBoost, as the scalable tree boosting classifier, can solve real-world scale problems (Higgs Boson and Allstate dataset) with using a minimal amount of resources. This paper reuses the same data from RS PON and features from previous research, preprocessed with PCA and classified with XGBoost, to increase the accuracy with fewer electrodes. The specific fewer electrodes improved the accuracy of stroke detection. Our future work will examine the other algorithm besides PCA to get higher accuracy with less number of channels.

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Finite element analysis of posterior leaf spring ankle-foot orthosis for tibialis anterior atrophy case

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AIP Conference Proceedings 2022年第1期2663卷

作者： Alfian Pramudita Putra Arief Sofian Hidayat Akif Rahmatillah Pujiyanto Pujiyanto Dinda Cyberputri I. Putu Alit Pawana 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 2Biomedical Signals and Systems Research Group Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 3Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 4Department of Rehabilitation and Physical Medicine Dr. Soetomo General Academic Hospital Surabaya Indonesia

Stroke is a neurological disease and is a significant cause of disability throughout the world. Patients with stroke or post-stroke usually still experience interference in walking in the form of a drop foot caused by atrophy of the anterior tibialis muscle, so they cannot perform dorsiflexion. Drop foot disorders can be treated by rehabilitation using Posterior Leaf Spring Ankle-Foot Orthosis (PLS AFO). PLS AFO has the advantage of a higher level of flexibility compared to other AFO types. The primary purpose of this research is to observe the level of resilience based on the influence of AFO thickness. This study uses the finite element analysis of three model variations in the initial contact, midstance, terminal stance, and calf loading phases. The material used in this study was carbon fiber. The simulation will result in the distribution of stress, strain, and deformation values in each AFO model. The simulation results show that AFO resistance is affected by variations in AFO thickness where the increase in strength is proportional to the increase in AFO thickness. The AFO with a thickness of 10 mm is the most suitable for the tibialis anterior atrophy case.

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Publisher Correction: Global estimates on the number of people blind or visually impaired by cataract: a meta-analysis from 2000 to 2020

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Eye (London, England) 2024年第11期38卷 2229-2231页

作者： Konrad Pesudovs Hugh R. Taylor Tabassom Sedighi Rupert R. A. Bourne Shahina Pardhan Van Charles Lansingh John H. Kempen Ian Tapply Arthur G. Fernandes Maria Vittoria Cicinelli Alessandro Arrigo Nicolas Leveziel Serge Resnikoff Seth Flaxman Mukkharram M. Bikbov Tasanee Braithwaite Alain Bron Ching-Yu Cheng Monte A. Del Monte Joshua R. Ehrlich Leon B. Ellwein David Friedman João M. Furtado Gus Gazzard Ronnie George M. Elizabeth Hartnett Jost B. Jonas Rim Kahloun Moncef Khairallah Rohit C. Khanna Janet Leasher Julie-Anne Little Vinay Nangia Michal Nowak Tunde Peto Pradeep Ramulu Fotis Topouzis Mitiadis Tsilimbaris Ya Xing Wang Ningli Wang Paul Svitil Briant Theo Vos Katrin Burkart Kaleb Coberly Xiaochen Dai Stephen S. Lim Tomislav Mestrovic Ali H. Mokdad Christopher J. L. Murray Jaimie D. Steinmetz Awoke Misganaw Yohannes Habtegiorgis Abate Mohammad Abdollahi Mozhan Abdollahi Ayele Mamo Abebe Olumide Abiodun Richard Gyan Aboagye Woldu Aberhe Abrha Hasan Abualruz Hiwa Abubaker Ali Eman Abu-Gharbieh Salahdein Aburuz Tadele Girum Girum Adal Mesafint Molla Adane Isaac Yeboah Addo Qorinah Estiningtyas Sakilah Adnani Muhammad Sohail Afzal Muhammad Umair Shahin Aghamiri Bright Opoku Ahinkorah Aqeel Ahmad Sajjad Ahmad Ali Ahmadi Siamak Sabour Ayman Ahmed Haroon Ahmed Ahmad Samir Alfaar Abid Ali Syed Shujait Shujait Ali Awais Altaf Hubert Amu Emmanuel Manu Sofia Androudi Rodrigo Anguita Abhishek Anil Rimple Jeet Kaur Muhammad Aaqib Shamim Saeid Anvari Anayochukwu Edward Anyasodor Francis Appiah Jalal Arabloo Haleh Ayatollahi Mosab Arafat Damelash Areda Reza Arefnezhad Brhane Berhe Aregawi Akeza Awealom Asgedom Tahira Ashraf Seyyed Shamsadin Athari Bantalem Tilaye Tilaye Atinafu Birhan Tsegaw Taye Maha Moh’d Wahbi Atout Alok Atreya Ahmed Y. Azzam Hassan Babamohamadi Sara Bagherieh Yogesh Bahurupi Atif Amin Baig Shumaila Nargus Biswajit Banik Mainak Bardhan Saurav Basu Kavita Batra Nebiyou Simegnew Bayileyegn Fatemeh Bazvand Addisu Shunu Beyene Awoke Masrie Asrat Derese Devidas S. Bhagat Akshaya Srikanth Bhagavathula Pankaj Bh Medicine & Health University of New South Wales Sydney NSW Australia School of Optometry and Vision Science University of New South Wales Sydney NSW Australia School of Population and Global Health University of Melbourne Carlton VIC Australia Vision and Eye Research Institute Anglia Ruskin University Cambridge UK HelpMeSee Instituto Mexicano de Oftalmologia Santiago de Querétaro Mexico University of Miami Gables FL USA University of Utah Salt Lake City UT USA Chief Medical Office HelpMeSee New York NY USA Mexican Institute of Ophthalmology Queretaro Mexico Department of Ophthalmology Massachusetts Eye and Ear/Shepens Eye Research Institute/Harvard Medical School Boston MA USA Eye Unit MyungSung Christian Medical Center (MCM) Comprehensive Specialized Hospital and MyungSun Medical College Addis Ababa Ethiopia Department of Ophthalmology Addis Ababa University Addis Ababa Ethiopia Sight for Souls Bellevue WA USA Department of Ophthalmology Harvard University Boston MA USA Eye Unit MyungSung Medical College Addis Ababa Ethiopia Addenbrooke’s Hospital Cambridge UK Department of Ophthalmology Cambridge University Hospitals Cambridge UK Federal University of Sao Paolo Sao Paolo SP Brazil University of Calgary Calgary AB Canada Department of Ophthalmology and Visual Sciences Federal University of São Paulo Sao Paulo Brazil School of Medicine Vita-Salute San Raffaele University Milan Italy Department of Ophthalmology IRCCS San Raffaele Scientific Institute Milan Italy Department of Ophthalmology San Raffaele Scientific Institute Milano Italy IRCCS San Raffaele Scientific Institute Vita-Salute University Milan Italy Scientific Institute San Raffaele Hospital Vita-Salute University Milan Italy University of Poitiers Poitiers France CHU de Poitiers Poitiers France Ophthalmology Department CHU de Poitiers (Poitiers University Hospital) Poitiers France Unité 1084 National Institute of Health and Medical Research (INSERM) Poitiers France

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Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study (vol 2, pg 144, 2021)

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LANCET GLOBAL HEALTH 2021年第4期9卷 E408-E408页

作者： Steinmetz, Jaimie D. Vision and Eye Research Institute Anglia Ruskin University Cambridge United Kingdom Biomedical Informatics Seoul National University Hospital Seoul South Korea Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Institute of Health Services Research Yonsei University Seoul South Korea Department of Ophthalmology University of Washington Seattle WA United States Department of Mathematics Imperial College London London United Kingdom WHO Collaborating Centre for Public Health Education and Training Imperial College London London United Kingdom Department of Primary Care and Public Health Imperial College London London United Kingdom School of Population and Global Health University of Melbourne Carlton VIC Australia School of Optometry and Vision Science UNSW Sydney NSW Australia Brien Holden Vision Institute Sydney Australia Department of Ophthalmology University of Adelaide Adelaide SA Australia Department of Parasitology and Mycology Jahrom University of Medical Sciences Jahrom Iran Department of Clinical Sciences University of Sharjah Sharjah United Arab Emirates Ophthalmic Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Department of Ophthalmology Shahid Beheshti University of Medical Sciences Tehran Iran Research Institute for Endocrine Sciences Shahid Beheshti University of Medical Sciences Tehran Iran Ophthalmic Epidemiology Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Health Services Management Department Qazvin University of Medical Sciences Qazvin Iran Department of Systems Populations and Leadership University of Michigan Ann Arbor MI United States Department of Medicine Sofia Ismail Memorial Medical Centre Bogura Bangladesh The Fred Hollows Foundation Sydney NSW Australia Berhan Public Health & Eye Care Consultancy Addis A

Hospital El Salvador: a novel paradigm of intensive care in response to COVID-19 in central America. Lancet Glob Health 2021;9: e241?42?In this Comment, the conflict of interest statement should have included the following: ?By virtue of their roles within a public hospital or the Ministry of Health, MB, LC, WH, and XS are government employees. The findings and conclusions in the Comment are only those of the authors.? This correction has been made as of Feb 26, 2021.

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