Muammar Sadrawi, Daniel Ryan Fugaha, Devita Mayanda Heerlie, Juan Lorell, Nicolaas Raditya Putra Gautama, Mohamad Zafran Aminuddin
{"title":"Artificial Intelligence Based Brain Tumor Localization Using YOLOv5","authors":"Muammar Sadrawi, Daniel Ryan Fugaha, Devita Mayanda Heerlie, Juan Lorell, Nicolaas Raditya Putra Gautama, Mohamad Zafran Aminuddin","doi":"10.54250/ijls.v5i01.176","DOIUrl":"https://doi.org/10.54250/ijls.v5i01.176","url":null,"abstract":"Brain tumor is a mutation in the brain cells in which the cells keep dividing. The earlier the tumor detected, the higher survival rate for the patient. This study develops the brain tumor detection system by utilizing the you only look once (YOLO). The model is based on YOLOv5 architect. The open dataset of tumorous images is utilized. From this dataset, the corresponding masks are given alongside the images. Our study tries to compare several YOLOv5 models to localize the brain tumor. The results show YOLOv5m, YOLOv5l, and YOLOv5x models have higher precision and recall values. The inference time from those models is relatively small for recent computational resources. In conclusion, the YOLOv5 models have produced superior result in localizing the brain tumor","PeriodicalId":288945,"journal":{"name":"Indonesian Journal of Life Sciences","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125414933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improvement on Waste Segregation Knowledge by Verbal and Visual Prompt in Indonesia International Institute for Life Sciences (i3L)","authors":"Deborah Shirleen, Katherine Kho","doi":"10.54250/ijls.v5i01.171","DOIUrl":"https://doi.org/10.54250/ijls.v5i01.171","url":null,"abstract":"In the face of the detrimental effect from the abundant waste, humans were left with no choice but to cycle them. Waste sorting, an important step to maximize the recyclables resources, is essential to be performed. To reinforce the waste sorting behavior, this study observed the impact of verbal prompt intervention. The experiment was done at a higher education institution, Indonesia International Institute for Life Sciences (i3L), that integrates sustainability education into their curriculum. This study observed convenient sampling of one group, pre- and post- intervention. Volunteers stand by and notify wrong waste generators for one hour in the communal cafeteria for one month, after one week of baseline observation. The observation revealed a sufficient number of knowledge on waste sorting on the pre-intervention baseline (75%). The presence of the prolonged intervention increased the number of correct waste sorting to 89.68% in the fourth week of intervention. Nonetheless, a survey conducted to confirm the cause of change, disclosed that the community’s heightened proper waste behavior is independent of the direct reminder, but rather due to the presence of the notifying volunteer. Therefore the root of waste segregation behavior improvement was more than just from verbal reminder, but from the presence of the rangers that enforces the rules.","PeriodicalId":288945,"journal":{"name":"Indonesian Journal of Life Sciences","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115432493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Richelle Bertly Josefano, Aivyanca A, Charlivo Mikaichi Dungus, Jason Jonathan Hamid, Katherine Katherine
{"title":"Bioprocessing of mAb (Monoclonal Antibodies) using Chinese Hamster Ovary (CHO) Cells: A Review","authors":"Richelle Bertly Josefano, Aivyanca A, Charlivo Mikaichi Dungus, Jason Jonathan Hamid, Katherine Katherine","doi":"10.54250/ijls.v5i01.162","DOIUrl":"https://doi.org/10.54250/ijls.v5i01.162","url":null,"abstract":"Monoclonal antibodies (mAb) are known to be able to be produced from Chinese Hamster Ovary (CHO) cells. It has become increasingly important throughout the years due to its efficiency and revolutionary treatment for various diseases such as cancer, autoimmune diseases, and so forth. This review examines several upstream and downstream processes involved in the production of mAb including CHO cell maintenance, cellular engineering of CHO, transfection of plasmids into CHO cells, clonal selection and screening, culture of rCHO cells, cell harvesting, purification, and polishing. Several challenges of the bioprocessing process include a lack of large up scaling for industrial purposes, high capital costs, as well as productivity inefficiencies. However, a solution proposed is for biopharmaceutical companies to research further into the downstream processing for a continuous, efficient, and productive process.","PeriodicalId":288945,"journal":{"name":"Indonesian Journal of Life Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130438463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Olivia Putri, Megan Angelita Salim, Aileen Gunawan, Devin Devin, Ezrela Amaris, David Alexander, Gregorius Kevin, Gabriella Gita Febriana
{"title":"Drug-Resistant Pulmonary Tuberculosis","authors":"Olivia Putri, Megan Angelita Salim, Aileen Gunawan, Devin Devin, Ezrela Amaris, David Alexander, Gregorius Kevin, Gabriella Gita Febriana","doi":"10.54250/ijls.v5i01.172","DOIUrl":"https://doi.org/10.54250/ijls.v5i01.172","url":null,"abstract":"Tuberculosis (TB) caused by the pathogenic bacteria Mycobacterium tuberculosis (MTb) still remains a highly prevalent disease, particularly in low and middle-income countries. Due to the bacteria’s atypical cell wall structure, ability to form granuloma, and capacity to switch between replicating and non-replicating states in the host lung parenchyma, the fundamental treatment of patients diagnosed with TB involves a 6-month long daily drug administration. With Indonesia ranking among the nations with the highest TB burden worldwide, there has been an alarming increase of drug-resistant MTb (DR-MTb) strains all over the country in recent years. However, there are currently limited studies available that highlight MTb resistance profiles across different regions within Indonesia. The major risk factors contributing to the emergence and spread of TB in Indonesia include health conditions, environmental conditions, and socioeconomic status. Furthermore, natural compounds and drug repurposing can be employed to combat the further spread of DR-MTb strains across the country, especially in rural regions. ","PeriodicalId":288945,"journal":{"name":"Indonesian Journal of Life Sciences","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121889808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improving the Biodiesel Production in Saccharomyces Cerevisiae: Metabolic Engineering and Enzyme Engineering","authors":"R. Kembaren","doi":"10.54250/ijls.v5i01.168","DOIUrl":"https://doi.org/10.54250/ijls.v5i01.168","url":null,"abstract":"The yeast Saccharomyces cerevisiae can produce fuels such as biodiesel using the biomass of lignocellulose. S. cerevisiae metabolize monosaccharide of lignocellulosic hydrolysates to supply fuels/energy globally without competition issue with food supply. Ethanol and free fatty acids (FFAs) are the precursors of biodiesel. S. cerevisiae is able to produce these precursors. S. cerevisiae synthesizes biodiesel from ethanol and fatty acyl-coenzyme A thioesters using wax ester acyltransferase (WS). Here, we review some recent strategies applied to metabolic engineering and enzyme engineering of S. cerevisiae for improving the yield of biodiesel. On the metabolic engineering strategy can be done by directing the carbon flux towards the fatty acids biosynthesis pathway through engineering some genes in the central carbon metabolism. By combined overexpression genes of Acetyl-CoA synthetase (ACS), Acetyl-CoA carboxylase (ACC1), and Fatty Acid Synthase (FAS) will improve biodiesel synthesis. In enzyme engineering, we can remove the allosteric inhibition control of Snf1 to Acetyl-CoA carboxylase ((ACC1), an enzyme that convert Acetyl Co-A to malonyl Co-A) by mutation of two phosphorylation site of ACC1 via site-directed mutagenesis which mutates serine1157,659 to alanine1157,629. This result in enhanced carbon flux to fatty acid synthesis and contribute to a higher yield of biodiesel.","PeriodicalId":288945,"journal":{"name":"Indonesian Journal of Life Sciences","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117260234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}