Pub Date : 2020-08-01DOI: 10.1109/ISEC49744.2020.9397826
Darren Wu, Qiu Li, Feifan Wang, Tiantian Li, Tingyi Gu
Problem StatementCurrently, identification methods for the thickness measurement of nanomaterials demand expensive and nonstandard equipment, impairing its continued study, practical applications, and industrial commercialization.The development of a novel and accurate thickness identification methodology is imperative for the continued study and potential commercialization of two-dimensional (2D) materials. Through experimentation, an effective and straightforward methodology has been produced for the thickness identification of MoS2 and In2 Se3 nanosheets on 300nm Si/SiO2 under optical microscopy from approximately single to decuple layer numbers. The optical contrast difference values of the atomically-thin nanostructures were collected throughout and arranged into a standard reference index which was correlated to height number in nanometers. Using this method, the thickness of a substance could be simply and accurately determined without the use of complex instrumentation, experimental setup, and calculation, therefore, saving time and financial costs.
{"title":"Rapid Thickness Identification Methodology For Two-Dimensional MoS2 and In2 Se3 Nanosheets Using Optical Microscopy","authors":"Darren Wu, Qiu Li, Feifan Wang, Tiantian Li, Tingyi Gu","doi":"10.1109/ISEC49744.2020.9397826","DOIUrl":"https://doi.org/10.1109/ISEC49744.2020.9397826","url":null,"abstract":"Problem StatementCurrently, identification methods for the thickness measurement of nanomaterials demand expensive and nonstandard equipment, impairing its continued study, practical applications, and industrial commercialization.The development of a novel and accurate thickness identification methodology is imperative for the continued study and potential commercialization of two-dimensional (2D) materials. Through experimentation, an effective and straightforward methodology has been produced for the thickness identification of MoS2 and In2 Se3 nanosheets on 300nm Si/SiO2 under optical microscopy from approximately single to decuple layer numbers. The optical contrast difference values of the atomically-thin nanostructures were collected throughout and arranged into a standard reference index which was correlated to height number in nanometers. Using this method, the thickness of a substance could be simply and accurately determined without the use of complex instrumentation, experimental setup, and calculation, therefore, saving time and financial costs.","PeriodicalId":355861,"journal":{"name":"2020 IEEE Integrated STEM Education Conference (ISEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121168879","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}
Pub Date : 2020-08-01DOI: 10.1109/ISEC49744.2020.9280731
M. Jouaneh
A smartphone coupled with a low-cost physical system can be used to conduct a meaningful at-home engineering experiment that provides an environment for experiential and personalized learning. The objective of this study is to improve students’ understanding of the response of a dynamic system through integrating an at-home experiment into a lecture-only class using a smartphone as the measurement system. The paper reports on the use of the linear acceleration sensor in smartphones to conduct an at-home experiment to measure the vibration characteristics of a cantilever beam in a junior-level, systems dynamic course. All students in the class were provided with a spring steel beam and a C-shaped clamp. The students mounted their own phone at the end of the beam, and an app was used to record the acceleration of the beam for three different beam lengths. From the experimental data, the students were asked to determine the damped natural frequency of the beam and compare it to theory. The study was performed over three years with a total of 302 students. Data analysis of the short pre and post quiz conducted with the experiment showed that the at-home experiment had a positive effect on students’ understanding of key concepts. Furthermore, written and verbal comments from the students showed that the students valued the learning they got from performing this experiment.
{"title":"Integrating a Smartphone-Based Vibration Experiment into an Engineering Course","authors":"M. Jouaneh","doi":"10.1109/ISEC49744.2020.9280731","DOIUrl":"https://doi.org/10.1109/ISEC49744.2020.9280731","url":null,"abstract":"A smartphone coupled with a low-cost physical system can be used to conduct a meaningful at-home engineering experiment that provides an environment for experiential and personalized learning. The objective of this study is to improve students’ understanding of the response of a dynamic system through integrating an at-home experiment into a lecture-only class using a smartphone as the measurement system. The paper reports on the use of the linear acceleration sensor in smartphones to conduct an at-home experiment to measure the vibration characteristics of a cantilever beam in a junior-level, systems dynamic course. All students in the class were provided with a spring steel beam and a C-shaped clamp. The students mounted their own phone at the end of the beam, and an app was used to record the acceleration of the beam for three different beam lengths. From the experimental data, the students were asked to determine the damped natural frequency of the beam and compare it to theory. The study was performed over three years with a total of 302 students. Data analysis of the short pre and post quiz conducted with the experiment showed that the at-home experiment had a positive effect on students’ understanding of key concepts. Furthermore, written and verbal comments from the students showed that the students valued the learning they got from performing this experiment.","PeriodicalId":355861,"journal":{"name":"2020 IEEE Integrated STEM Education Conference (ISEC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128759308","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}
Pub Date : 2020-08-01DOI: 10.1109/ISEC49744.2020.9397816
Jiale Lu
Brand name drug is developed and produced by the brand name drug company through a complicated process. A new drug has to pass the following steps to be brought to the public: discovery, delivery, and manufacturing. A new compound needs to be found to fit the chemistry and physical characteristics. The dosage form of a suitable compound is then developed. The routes of administration are tested and dosage duration is optimized. The drug needs to be delivered into the targeted area at a certain rate in the environment in the human body. The active ingredient needs to be combined with other inactive ingredients for the easier manufacturing process as well as better absorption, distribution, metabolism, excretion and lower toxicity. The last part is the manufacturing part, which involves the development of the manufacturing process on a larger scale as well as getting approval from the FDA and testing results for pre-clinical and clinical tests. The company holds on the patent for the drug and the manufacturing process for 10 years, usually about the same period as the developing process. After the original patent expires, other generic drug companies can produce generic drugs (1). FDA requires the generic drug producer to prove that the drug they produce could have the same or comparable clinic effect as the brand name drug (2). The generic drugs are produced based on the concept of bioequivalence, meaning that the product should meet the same or comparable effect when the same number of active ingredients in the same dosage form and under the same route of administration is used (3). The 1984 Drug Price Competition and Patent Term Restoration Act stopped the requirement for performing pre-clinical and clinical tests all the generic copied drugs because the bioequivalence allows the generic drug to have the same performance in the pre-clinical and clinical tests. There are certain differences between generic drugs and brand name drugs. The shape, inactive ingredient, packing methods, color, and flavoring may be different between the generic drug and brand name drugs to prevent violation against trademark laws (5).
{"title":"Quality Control of Brand Name Aspirin drug and Generic Aspirin drug","authors":"Jiale Lu","doi":"10.1109/ISEC49744.2020.9397816","DOIUrl":"https://doi.org/10.1109/ISEC49744.2020.9397816","url":null,"abstract":"Brand name drug is developed and produced by the brand name drug company through a complicated process. A new drug has to pass the following steps to be brought to the public: discovery, delivery, and manufacturing. A new compound needs to be found to fit the chemistry and physical characteristics. The dosage form of a suitable compound is then developed. The routes of administration are tested and dosage duration is optimized. The drug needs to be delivered into the targeted area at a certain rate in the environment in the human body. The active ingredient needs to be combined with other inactive ingredients for the easier manufacturing process as well as better absorption, distribution, metabolism, excretion and lower toxicity. The last part is the manufacturing part, which involves the development of the manufacturing process on a larger scale as well as getting approval from the FDA and testing results for pre-clinical and clinical tests. The company holds on the patent for the drug and the manufacturing process for 10 years, usually about the same period as the developing process. After the original patent expires, other generic drug companies can produce generic drugs (1). FDA requires the generic drug producer to prove that the drug they produce could have the same or comparable clinic effect as the brand name drug (2). The generic drugs are produced based on the concept of bioequivalence, meaning that the product should meet the same or comparable effect when the same number of active ingredients in the same dosage form and under the same route of administration is used (3). The 1984 Drug Price Competition and Patent Term Restoration Act stopped the requirement for performing pre-clinical and clinical tests all the generic copied drugs because the bioequivalence allows the generic drug to have the same performance in the pre-clinical and clinical tests. There are certain differences between generic drugs and brand name drugs. The shape, inactive ingredient, packing methods, color, and flavoring may be different between the generic drug and brand name drugs to prevent violation against trademark laws (5).","PeriodicalId":355861,"journal":{"name":"2020 IEEE Integrated STEM Education Conference (ISEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127049637","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}
Pub Date : 2020-08-01DOI: 10.1109/ISEC49744.2020.9397825
A. Ali, Jennifer S. Suon, M. A. Yousuf
Patients with various movement hampering illnesses who have been admitted to hospitals are at low risk of being injured as they are under strict observation by hospital staff and electronic systems. However, once these patients move into their homes, it becomes difficult to monitor them and warn them of potential hazards. For example, Chronic Obstructive Pulmonary Disease (COPD) is a group of progressive lung diseases that obstruct airflow. It affects millions of adults in the USA alone, with a world estimate of 64 million by the World Health Organization. COPD patients have breathing apparatus attached to their mouth, which is then connected to oxygen tanks via pipes. These individuals run into various problems such as walking too far away from the tank, tripping over the plastic pipes, etc. Most of these patients have limited resources to invest in expensive tracking devices, or to get personalized help at home. To solve some of these problems, one must first be able to reliably locate them and keep track of them at all times. The objective of this work is to propose a comprehensive, multi-sensor platform that can be reliably installed at homes. We explore a variety of low-cost tools and techniques available. This includes satellite tracking of cell phones attached to the patient, ultrasound and laser range finders mounted on walls, iBeacons, etc. We also discuss some of the fancier tools on the horizon, which may soon be available for household applications.
{"title":"A Study of the Localization Methods to Help Elderly Patients in their Home Environments","authors":"A. Ali, Jennifer S. Suon, M. A. Yousuf","doi":"10.1109/ISEC49744.2020.9397825","DOIUrl":"https://doi.org/10.1109/ISEC49744.2020.9397825","url":null,"abstract":"Patients with various movement hampering illnesses who have been admitted to hospitals are at low risk of being injured as they are under strict observation by hospital staff and electronic systems. However, once these patients move into their homes, it becomes difficult to monitor them and warn them of potential hazards. For example, Chronic Obstructive Pulmonary Disease (COPD) is a group of progressive lung diseases that obstruct airflow. It affects millions of adults in the USA alone, with a world estimate of 64 million by the World Health Organization. COPD patients have breathing apparatus attached to their mouth, which is then connected to oxygen tanks via pipes. These individuals run into various problems such as walking too far away from the tank, tripping over the plastic pipes, etc. Most of these patients have limited resources to invest in expensive tracking devices, or to get personalized help at home. To solve some of these problems, one must first be able to reliably locate them and keep track of them at all times. The objective of this work is to propose a comprehensive, multi-sensor platform that can be reliably installed at homes. We explore a variety of low-cost tools and techniques available. This includes satellite tracking of cell phones attached to the patient, ultrasound and laser range finders mounted on walls, iBeacons, etc. We also discuss some of the fancier tools on the horizon, which may soon be available for household applications.","PeriodicalId":355861,"journal":{"name":"2020 IEEE Integrated STEM Education Conference (ISEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128146845","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}
Pub Date : 2020-08-01DOI: 10.1109/ISEC49744.2020.9397851
A. Fortino, Qitong Zhong, Luke Yeh, Sijia Fang
A literature search can be an arduous process, especially for novice researchers. We have developed a tool that allows a researcher to rank order a list of references that are returned by a keyword-based search engine, based on similarity to known exemplars. This significantly accelerates literature searches by novices. Our research question was: can we produce a text-analytic tool that, when used by an inexperienced scholar, rank-orders a list of references against an exemplar, so that the time needed to find relevant literature is reduced, and the literature survey section of their paper will be superior. An experiment was set up where one course section used the tool to produce the literature review section of a thesis proposal, and the other class used traditional literature research tools. We surveyed both sections to self-report the time used for the literature search. We found some time savings by some of the students using the tool. We also provided blind, randomly selected pairs of completed proposals to SME faculty who teach that same class to assess the quality of the literature sections of the samples. We found that the tool-using section of students reported significantly less time to do the literature search, and the quality of their literature review produced had a significantly higher quality.
{"title":"Using Text Data Mining to Enhance the Literature Search Process for Novice STEM Researchers","authors":"A. Fortino, Qitong Zhong, Luke Yeh, Sijia Fang","doi":"10.1109/ISEC49744.2020.9397851","DOIUrl":"https://doi.org/10.1109/ISEC49744.2020.9397851","url":null,"abstract":"A literature search can be an arduous process, especially for novice researchers. We have developed a tool that allows a researcher to rank order a list of references that are returned by a keyword-based search engine, based on similarity to known exemplars. This significantly accelerates literature searches by novices. Our research question was: can we produce a text-analytic tool that, when used by an inexperienced scholar, rank-orders a list of references against an exemplar, so that the time needed to find relevant literature is reduced, and the literature survey section of their paper will be superior. An experiment was set up where one course section used the tool to produce the literature review section of a thesis proposal, and the other class used traditional literature research tools. We surveyed both sections to self-report the time used for the literature search. We found some time savings by some of the students using the tool. We also provided blind, randomly selected pairs of completed proposals to SME faculty who teach that same class to assess the quality of the literature sections of the samples. We found that the tool-using section of students reported significantly less time to do the literature search, and the quality of their literature review produced had a significantly higher quality.","PeriodicalId":355861,"journal":{"name":"2020 IEEE Integrated STEM Education Conference (ISEC)","volume":"131 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124248937","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}
Pub Date : 2020-08-01DOI: 10.1109/isec49744.2020.9397858
Will R Morrison
I have recently received a dataset with information about 680 Children’ s Hospital of Philadelphia food challenges and whether they had a severe reaction or a mild reaction. Food challenges are appointments where a child is given a food that he has been tested to have a small or nonexistent allergy for to see if they will react. If they don’t, they are cleared of the allergy and can eat it outside of the controlled environment. In each of the 680 tests in this dataset the child reacted and data was recorded about the type of food, how much they ate, how they reacted to it, and how severe the reaction was based on a standardized scale. The goal with this data is to find out which of the 20 + columns is the best predictor for whether someone will have a severe reaction. For example, does a history of asthma make someone more likely to have a severe reaction? Or does sneezing during the test mean that they will have a severe reaction. So far, I have done a logistic regression with the data. Some findings have surfaced, but for the final project I would need to find what variables to drop and focus on analyzing the results. Below are some screenshots of the data and work that I have done with it: The first few entries in the dataset https://i.imgur.com/TEl2ms3.png A heatmap of the variables to determine which need to be dropped https://i.imgur.com/qjZ1FLU.png
{"title":"Best Predictors for Major Food Allergy Reactions","authors":"Will R Morrison","doi":"10.1109/isec49744.2020.9397858","DOIUrl":"https://doi.org/10.1109/isec49744.2020.9397858","url":null,"abstract":"I have recently received a dataset with information about 680 Children’ s Hospital of Philadelphia food challenges and whether they had a severe reaction or a mild reaction. Food challenges are appointments where a child is given a food that he has been tested to have a small or nonexistent allergy for to see if they will react. If they don’t, they are cleared of the allergy and can eat it outside of the controlled environment. In each of the 680 tests in this dataset the child reacted and data was recorded about the type of food, how much they ate, how they reacted to it, and how severe the reaction was based on a standardized scale. The goal with this data is to find out which of the 20 + columns is the best predictor for whether someone will have a severe reaction. For example, does a history of asthma make someone more likely to have a severe reaction? Or does sneezing during the test mean that they will have a severe reaction. So far, I have done a logistic regression with the data. Some findings have surfaced, but for the final project I would need to find what variables to drop and focus on analyzing the results. Below are some screenshots of the data and work that I have done with it: The first few entries in the dataset https://i.imgur.com/TEl2ms3.png A heatmap of the variables to determine which need to be dropped https://i.imgur.com/qjZ1FLU.png","PeriodicalId":355861,"journal":{"name":"2020 IEEE Integrated STEM Education Conference (ISEC)","volume":"39 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114039401","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}
Pub Date : 2020-08-01DOI: 10.1109/ISEC49744.2020.9280596
Aunshul Rege, T. Nguyen, Rachel Bleiman
The human element is often regarded as the weakest link in cybersecurity, yet awareness and training efforts focus primarily on the technical aspects of cybersecurity and downplay the relevance of the human factor. One way to exploit this human vulnerability is through social engineering, in which cybercriminals utilize persuasion and manipulation of human behavior and psychology to convince individuals to reveal information, provide access or perform an action. This paper offers a case study on efforts to design and develop a social engineering awareness and training program that was implemented at the 2019 National Science Foundation Cybersecurity Summit using the National Institute of Standards and Technology framework for program development. This program was developed to enhance the ability for individuals in the future and current workforce to protect their organization against vulnerabilities to social engineering attacks, through corresponding awareness and training. The authors share the different stages that are involved in producing a successful program: designing the program, developing the awareness and training material, and implementing the program. In addition, this paper details the challenges and lessons the authors experienced and learned, which can be used as a guide for other practitioners to develop social engineering awareness and training programs.
{"title":"A social engineering awareness and training workshop for STEM students and practitioners","authors":"Aunshul Rege, T. Nguyen, Rachel Bleiman","doi":"10.1109/ISEC49744.2020.9280596","DOIUrl":"https://doi.org/10.1109/ISEC49744.2020.9280596","url":null,"abstract":"The human element is often regarded as the weakest link in cybersecurity, yet awareness and training efforts focus primarily on the technical aspects of cybersecurity and downplay the relevance of the human factor. One way to exploit this human vulnerability is through social engineering, in which cybercriminals utilize persuasion and manipulation of human behavior and psychology to convince individuals to reveal information, provide access or perform an action. This paper offers a case study on efforts to design and develop a social engineering awareness and training program that was implemented at the 2019 National Science Foundation Cybersecurity Summit using the National Institute of Standards and Technology framework for program development. This program was developed to enhance the ability for individuals in the future and current workforce to protect their organization against vulnerabilities to social engineering attacks, through corresponding awareness and training. The authors share the different stages that are involved in producing a successful program: designing the program, developing the awareness and training material, and implementing the program. In addition, this paper details the challenges and lessons the authors experienced and learned, which can be used as a guide for other practitioners to develop social engineering awareness and training programs.","PeriodicalId":355861,"journal":{"name":"2020 IEEE Integrated STEM Education Conference (ISEC)","volume":"30 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114128620","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}
Pub Date : 2020-08-01DOI: 10.1109/ISEC49744.2020.9397852
B. Sebastian, Alejandro C. Javier, Ryan F. Chua, Byron D. Traje
Bromodosis or foot odor affects many people around the world. Shoe deodorizers are used to prevent the malodor, but most of the products available may use harmful materials that do not fully eliminate its cause. These products contain substances that degrade the environment (Steinmann, 2016), and pose as a health hazard (Engelund, et al., 2005). The researchers plan to utilize natural materials (activated charcoal and freeze-dried lemon) in creating a shoe deodorizer that can eliminate the cause of foot odor while reducing ecological footprint. Based on previous studies, foot odor was released from Isovaleric acid, which is the result of Staphylococcus epidermidis breaking-down leucine present in sweat (Ara, et al., 2006). When the bacteria in feet eat amino acids such as leucine, it produces a by-product called Isovaleric acid which causes the foul smell. Various studies have also been made regarding the use of lemon and activated charcoal to reduce foul smell (Otang & Afolavan 2016, Tada, et al., 2016). The researchers will focus on the effectiveness of freeze-dried Citrus limon, (Lisbon quad variety) in removing malodor. A revised version of the Modified Kirby Bauer disc diffusion test method was done by the Industrial Technology Development Institute, Department of Science and Technology (ITDI-DOST. The researchers were able to verify the antibacterial properties of freeze-dried lemons. Results showed that the sample freeze–dried lemons (10mm), produced complete inhibitory activity with a Total Mean of Inhibition of 12.74mm, with mild reactivity against the test organism Staphylococcus aureus, a common specie of the normal microbiota of the skin. It was concluded from the research that freeze-dried lemons have a good potential to inhibit foul smell, and may be an effective ingredient for a shoe deodorizer.
臭脚病或足臭影响着世界各地的许多人。鞋子除臭剂是用来防止异味的，但大多数可用的产品可能使用有害材料，不能完全消除其原因。这些产品含有降解环境的物质(Steinmann, 2016)，并构成健康危害(Engelund, et al.， 2005)。研究人员计划利用天然材料(活性炭和冻干柠檬)制造出一种除臭剂，既能消除脚臭的原因，又能减少生态足迹。根据以往的研究，脚臭是由异戊酸释放的，这是表皮葡萄球菌分解汗液中存在的亮氨酸的结果(Ara, et al.， 2006)。当脚上的细菌食用亮氨酸等氨基酸时，会产生一种叫做异戊酸的副产物，从而产生臭味。关于使用柠檬和活性炭来减少恶臭也进行了各种研究(Otang & Afolavan 2016, Tada等人，2016)。研究人员将重点研究冻干柑橘柠檬(里斯本quad品种)去除异味的有效性。科学技术部工业技术发展研究所(ITDI-DOST)对改良Kirby Bauer圆盘扩散试验方法进行了修订。研究人员能够验证冻干柠檬的抗菌特性。结果表明，样品冻干柠檬(10mm)产生完全的抑制活性，总平均抑制量为12.74mm，对皮肤正常微生物群中常见的金黄色葡萄球菌具有轻微的反应性。研究结果表明，冻干柠檬具有良好的抑臭潜力，可作为一种有效的除臭剂。
{"title":"Efficiency of organic deodorizer in removing foul smell in shoes","authors":"B. Sebastian, Alejandro C. Javier, Ryan F. Chua, Byron D. Traje","doi":"10.1109/ISEC49744.2020.9397852","DOIUrl":"https://doi.org/10.1109/ISEC49744.2020.9397852","url":null,"abstract":"Bromodosis or foot odor affects many people around the world. Shoe deodorizers are used to prevent the malodor, but most of the products available may use harmful materials that do not fully eliminate its cause. These products contain substances that degrade the environment (Steinmann, 2016), and pose as a health hazard (Engelund, et al., 2005). The researchers plan to utilize natural materials (activated charcoal and freeze-dried lemon) in creating a shoe deodorizer that can eliminate the cause of foot odor while reducing ecological footprint. Based on previous studies, foot odor was released from Isovaleric acid, which is the result of Staphylococcus epidermidis breaking-down leucine present in sweat (Ara, et al., 2006). When the bacteria in feet eat amino acids such as leucine, it produces a by-product called Isovaleric acid which causes the foul smell. Various studies have also been made regarding the use of lemon and activated charcoal to reduce foul smell (Otang & Afolavan 2016, Tada, et al., 2016). The researchers will focus on the effectiveness of freeze-dried Citrus limon, (Lisbon quad variety) in removing malodor. A revised version of the Modified Kirby Bauer disc diffusion test method was done by the Industrial Technology Development Institute, Department of Science and Technology (ITDI-DOST. The researchers were able to verify the antibacterial properties of freeze-dried lemons. Results showed that the sample freeze–dried lemons (10mm), produced complete inhibitory activity with a Total Mean of Inhibition of 12.74mm, with mild reactivity against the test organism Staphylococcus aureus, a common specie of the normal microbiota of the skin. It was concluded from the research that freeze-dried lemons have a good potential to inhibit foul smell, and may be an effective ingredient for a shoe deodorizer.","PeriodicalId":355861,"journal":{"name":"2020 IEEE Integrated STEM Education Conference (ISEC)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129165967","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}
Pub Date : 2020-08-01DOI: 10.1109/ISEC49744.2020.9397817
N. Yadav, Kajal Srivastava
Predicting student performance using e-mail assessments can help in early interventions to better assist students sooner, rather than later, in STEM courses. In this paper, we propose CorC-Net, a tiny artificial neural network (ANN) that operates on limited data comprised of features scored from student assessments based on writing e-mails. ANNs are typically built using large scale data sets to truly realize their full potential; however, tiny neural networks overcome this problem by utilizing smaller batches of data making them easier to train. COrC-Net uses scored e-mails for content, organization, and clarity and classifies how students will perform. Formative instructor feedback provided between the assessments implies that CorC-Net is a more logical fit to simulate the “learning” process when human reaction to feedback and corrective action is involved. This is true especially in sequential course assessment tasks. In this paper, we show that COrC-Net outperforms other multiclass classification algorithms like decision trees, support vector machines, Gaussian Naive Bayes, and K-nearest neighbors. CorC-Net’s success in classifying student performance shows great potential in courses where longterm temporal assessment data is not available.
{"title":"Student Performance Prediction from E-mail Assessments Using Tiny Neural Networks","authors":"N. Yadav, Kajal Srivastava","doi":"10.1109/ISEC49744.2020.9397817","DOIUrl":"https://doi.org/10.1109/ISEC49744.2020.9397817","url":null,"abstract":"Predicting student performance using e-mail assessments can help in early interventions to better assist students sooner, rather than later, in STEM courses. In this paper, we propose CorC-Net, a tiny artificial neural network (ANN) that operates on limited data comprised of features scored from student assessments based on writing e-mails. ANNs are typically built using large scale data sets to truly realize their full potential; however, tiny neural networks overcome this problem by utilizing smaller batches of data making them easier to train. COrC-Net uses scored e-mails for content, organization, and clarity and classifies how students will perform. Formative instructor feedback provided between the assessments implies that CorC-Net is a more logical fit to simulate the “learning” process when human reaction to feedback and corrective action is involved. This is true especially in sequential course assessment tasks. In this paper, we show that COrC-Net outperforms other multiclass classification algorithms like decision trees, support vector machines, Gaussian Naive Bayes, and K-nearest neighbors. CorC-Net’s success in classifying student performance shows great potential in courses where longterm temporal assessment data is not available.","PeriodicalId":355861,"journal":{"name":"2020 IEEE Integrated STEM Education Conference (ISEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129888441","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}
Pub Date : 2020-08-01DOI: 10.1109/ISEC49744.2020.9397833
Sihan Fei, Zeqing Li
Alzheimer’s disease is a fatal form of dementia, and it caused over 120 thousand deaths in the U.S. alone in 2017. Recent studies indicate that sleep deprivation is both a cause and an effect of Alzheimer’s disease. Our research investigates the correlation between sleep deprivation and Alzheimer’s disease through two stages. In the first stage of the research, the genetic coexpression of Alzheimer’s disease-related genes (A-genes) and sleep-related genes (S-genes) across different stages of human development is explored. A general correlation between the expression of these two sets of genes is confirmed and strongly correlated A-gene and S-gene pairs are located, including GATA1 & ALAS2, TF & MOG, etc. In the second stage of the research, the expressions of A-genes and S-genes across different species are compared. Genes with unusual expression patterns in humans compared to those in other primate species are identified, hinting at possible genetic pathways key to solving the mystery of Alzheimer’s disease.
{"title":"Uncovering the Genetics behind Alzheimer’s Disease and Sleep: A Co-expression and Evolutionary Analysis","authors":"Sihan Fei, Zeqing Li","doi":"10.1109/ISEC49744.2020.9397833","DOIUrl":"https://doi.org/10.1109/ISEC49744.2020.9397833","url":null,"abstract":"Alzheimer’s disease is a fatal form of dementia, and it caused over 120 thousand deaths in the U.S. alone in 2017. Recent studies indicate that sleep deprivation is both a cause and an effect of Alzheimer’s disease. Our research investigates the correlation between sleep deprivation and Alzheimer’s disease through two stages. In the first stage of the research, the genetic coexpression of Alzheimer’s disease-related genes (A-genes) and sleep-related genes (S-genes) across different stages of human development is explored. A general correlation between the expression of these two sets of genes is confirmed and strongly correlated A-gene and S-gene pairs are located, including GATA1 & ALAS2, TF & MOG, etc. In the second stage of the research, the expressions of A-genes and S-genes across different species are compared. Genes with unusual expression patterns in humans compared to those in other primate species are identified, hinting at possible genetic pathways key to solving the mystery of Alzheimer’s disease.","PeriodicalId":355861,"journal":{"name":"2020 IEEE Integrated STEM Education Conference (ISEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121305628","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}
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