Side by side with the Embassy of Portugal in France, the goal was to run a stand to share my experiences, present my country, my university of origin and attract students to take their mobility there.
Using Deep Learning to Identify Cyclists' Risk Factors in London | PresentationLuís Rita
The aim of this project was to use object detection and image segmentation models to extract cyclists’ road risk factors from GSV images of London. This involved compiling road safety indicators and risk factors; analysing a GSV dataset, before using two state-of-the-art tools, YOLOv5 and PSPNet101, to detect objects and segment images, respectively, and further analysing their results; determining the limitations of YOLOv5, PSPNet101 and suggesting ways of making cyclists’ safety assessment more accurate.
Machine Learning for Building a Food Recommendation SystemLuís Rita
Many factors influence individual’s health, such as physical exercise, sleep, nutrition, heredity and pollution. Being nutrition one of the biggest modifiable factors in our lives, small changes can have a big impact. With the exponential increase in the number of available food options, it is not possible to take them all into account anymore. The only way to consider user taste preferences, maximize the number of healthy compounds and minimize the unhealthy ones in food, is using (3D) recommendation systems.
The goal of this project was to use the largest publicly available collection of recipe data (Recipe1M+) to build a recommendation system for ingredients and recipes. Train, evaluate and test a model able to predict cuisines from sets of ingredients. Estimate the probability of negative recipe-drug interactions based on the predicted cuisine. Finally, to build a web application as a step forward in building a 3D recommendation system.
A vectorial representation for every ingredient and recipe was generated using Word2Vec. An SVC model was trained to return recipes’ cuisines from their set of ingredients. South Asian, East Asian and North American cuisines were predicted with more than 73% accuracy. African, Southern European and Middle East cuisines contain the highest number of cancer-beating molecules. Finally, it was developed a web application able to predict the ingredients from an image, suggest new combinations and retrieve the cuisine the recipe belongs, along with a score for the expected number of negative interactions with antineoplastic drugs (github.com/warcraft12321/HyperFoods).
Machine Learning | Food Recommendation | Web Application
INSaFLU | Innovation and Entrepreneurship ReportLuís Rita
Along with my master thesis Community Finding with Applications on Phylogenetic Networks, in which a set of visualization and analysis tools were developed, I was enrolled in an internship in Instituto Nacional de Saúde Doutor Ricardo Jorge. Some of the tools implemented during the thesis will be soon introduced in INSaFLU, a web application developed in this institution. Below, the app and the developed modules are detailed.
BIG Smart Cities is one of the biggest entrepreneurship competitions organized in Portugal. This year, it counted with more than 200 projects from all over the world.
Smarty is the name of the project I decided to submit. Mine was the winner in the category of "5G University Challenge".
Besides having received mentoring from Vodafone, Ericsson and Municipality of Cascais, it was given me the opportunity to have an internship in one of the 2 first companies. Plus, a monetary award to accelerate the project.
Website: https://warcraft12321.github.io/Smarty/index.html
App: https://play.google.com/store/apps/details?id=appinventor.ai_luis20dr.Smarty2&hl=pt
A remote controlled car and the respective app were developed under the supervision of Prof. Luís Sousa, from Instituto Superior Técnico (University of Lisbon).
[App]
Using MIT App Inventor 2, we developed an Android app that is able to control many features of a RC car, using a Bluetooth connection. Specifically, the angular velocity of the back wheels, the rotation angle of a front servo, a horn, music, light and GPS components.
[Car]
All parts of the RC car were modelled using the CAD software SolidWorks. The complete model was divided in several components (which were meant to be 3D printed separately): wheels, chassis, L-shape axles, connecting bar and the body of the car.
https://warcraft12321.github.io/RCar/
Community Finding with Applications on Phylogenetic Networks [Thesis]Luís Rita
With the advent of high-throughput sequencing methods, new ways of visualizing and analyzing increasingly amounts of data are needed. Although some software already exist, they do not scale well or require advanced skills to be useful in phylogenetics.
The aim of this thesis was to implement three community finding algorithms – Louvain, Infomap and Layered Label Propagation (LLP); to benchmark them using two synthetic networks – Girvan-Newman (GN) and Lancichinetti-Fortunato-Radicchi (LFR); to test them in real networks, particularly, in one derived from a Staphylococcus aureus MLST dataset; to compare visualization frameworks – Cytoscape.js and D3.js, and, finally, to make it all available online (mscthesis.herokuapp.com).
Louvain, Infomap and LLP were implemented in JavaScript. Unless otherwise stated, next conclusions are valid for GN and LFR. In terms of speed, Louvain outperformed all others. Considering accuracy, in networks with well-defined communities, Louvain was the most accurate. For higher mixing, LLP was the best. Contrarily to weakly mixed, it is advantageous to increase the resolution parameter in highly mixed GN. In LFR, higher resolution decreases the accuracy of detection, independently of the mixing parameter. The increase of the average node degree enhanced partitioning accuracy and suggested detection by chance was minimized. It is computationally more intensive to generate GN with higher mixing or average degree, using the algorithm developed in the thesis or the LFR implementation. In S. aureus network, Louvain was the fastest and the most accurate in detecting the clusters of seven groups of strains directly evolved from the common ancestor.
Community Finding with Applications on Phylogenetic Networks [Extended Abstract]Luís Rita
[Master Thesis Extended Abstract]
With the advent of high-throughput sequencing methods, new ways of visualizing and analyzing increasingly amounts of data are needed. Although some software already exist, they do not scale well or require advanced skills to be useful in phylogenetics.
The aim of this thesis was to implement three community finding algorithms – Louvain, Infomap and Layered Label Propagation (LLP); to benchmark them using two synthetic networks – Girvan-Newman (GN) and Lancichinetti-Fortunato-Radicchi (LFR); to test them in real networks, particularly, in one derived from a Staphylococcus aureus MLST dataset; to compare visualization frameworks – Cytoscape.js and D3.js, and, finally, to make it all available online (mscthesis.herokuapp.com).
Louvain, Infomap and LLP were implemented in JavaScript. Unless otherwise stated, next conclusions are valid for GN and LFR. In terms of speed, Louvain outperformed all others. Considering accuracy, in networks with well-defined communities, Louvain was the most accurate. For higher mixing, LLP was the best. Contrarily to weakly mixed, it is advantageous to increase the resolution parameter in highly mixed GN. In LFR, higher resolution decreases the accuracy of detection, independently of the mixing parameter. The increase of the average node degree enhanced partitioning accuracy and suggested detection by chance was minimized. It is computationally more intensive to generate GN with higher mixing or average degree, using the algorithm developed in the thesis or the LFR implementation. In S. aureus network, Louvain was the fastest and the most accurate in detecting the clusters of seven groups of strains directly evolved from the common ancestor.
Community Finding with Applications on Phylogenetic Networks [Presentation]Luís Rita
[Master Thesis Presentation]
With the advent of high-throughput sequencing methods, new ways of visualizing and analyzing increasingly amounts of data are needed. Although some software already exist, they do not scale well or require advanced skills to be useful in phylogenetics.
The aim of this thesis was to implement three community finding algorithms – Louvain, Infomap and Layered Label Propagation (LLP); to benchmark them using two synthetic networks – Girvan-Newman (GN) and Lancichinetti-Fortunato-Radicchi (LFR); to test them in real networks, particularly, in one derived from a Staphylococcus aureus MLST dataset; to compare visualization frameworks – Cytoscape.js and D3.js, and, finally, to make it all available online (mscthesis.herokuapp.com).
Louvain, Infomap and LLP were implemented in JavaScript. Unless otherwise stated, next conclusions are valid for GN and LFR. In terms of speed, Louvain outperformed all others. Considering accuracy, in networks with well-defined communities, Louvain was the most accurate. For higher mixing, LLP was the best. Contrarily to weakly mixed, it is advantageous to increase the resolution parameter in highly mixed GN. In LFR, higher resolution decreases the accuracy of detection, independently of the mixing parameter. The increase of the average node degree enhanced partitioning accuracy and suggested detection by chance was minimized. It is computationally more intensive to generate GN with higher mixing or average degree, using the algorithm developed in the thesis or the LFR implementation. In S. aureus network, Louvain was the fastest and the most accurate in detecting the clusters of seven groups of strains directly evolved from the common ancestor.
Espetros de Absorção Eletrónica de CianinasLuís Rita
Relatório - Princípios de Química-Física.
Este trabalho laboratorial consiste no estudo dos espetros de absorção eletrónica de duas famílias de cianinas no VIS-UV próximo, mais precisamente as famílias 2Cn e 4Cn, recorrendo-se para tal a um espetrofotómetro de UV-VIS.
IST - 3º Ano - 2º Semestre - Engenharia Biomédica.
2º Relatório - Física da Radiação.
1. Configuração e ajuste de parâmetros; O multicanal; Calibração em energia do sistema;
2. Estudo do espetro das fontes: 137Cs e 60Co;
3. Estudo da atenuação de gamas na matéria
IST - 4º Ano - 1º Semestre - Engenharia Biomédica.
1º Relatório - Física da Radiação.
1. Estudo da curva de resposta do detetor em função da tensão aplicada e escolha da zona de operação;
2. Estudo da Eficiência do Detetor para as Radiações 훽 e 훾;
3. Estudo da lei de variação da taxa de contagem com a distância do detetor à fonte.
IST - 4º Ano - 1º Semestre - Engenharia Biomédica.
1st Project - Health Systems.
Day after day, health is becoming an increasingly hot issue in our daily life. Particularly, ageing can be thought as one of the primary causes for such an increasing demand and expense in health services. Therefore, it’s not surprising a larger fraction of the countries’ domestic gross product is being allocated to improve care, provided by health authorities, as well as public services, guaranteeing a pleasurable and safe coexistence among people.
One way of achieving such goals, without excessive expenditure, is using decision support models. In one hand, it’s true that forecasting [Request 3], linear programming [Request 4] or a mere construction of a decision tree [Request 2] entails some costs. But, at the end, countries or health services that better apply these mathematical techniques are achieving better results with the same or lower costs.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
The Role of Internet-of-Things (IoT) in HealthcareLuís Rita
1st Project - Health Systems.
As a result of ageing population, increasing demand and evolving technology on healthcare systems, the progress in the Internet of Things (IoT) has a key role in suppressing all these needs, in particular, redesigning modern health care with promising technological, economic and social prospects. This paper attempts to comprehensively review the current research and development on the impact of IoT in Healthcare. Relying on a comprehensive literature review, this paper analyses the architecture of an IoT-based systems, focusing on the main components and their value to the overall system. In addition, a perspective on electronic health records and on privacy and security issues are overviewed, along with the review of clinical cases of IoT-based systems. Given IoT clear acceptability and affordability among youngers and elders, combined to a broad range of devices and machine learning techniques, it’s expected these devices will facilitate in many ways health providers’ job, as long as other topics like data protection keep side-by-side.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
The Role of Internet-of-Things (IoT) in HealthcareLuís Rita
1st Project - Health Systems.
As a result of ageing population, increasing demand and evolving technology on healthcare systems, the progress in the Internet of Things (IoT) has a key role in suppressing all these needs, in particular, redesigning modern health care with promising technological, economic and social prospects. This paper attempts to comprehensively review the current research and development on the impact of IoT in Healthcare. Relying on a comprehensive literature review, this paper analyses the architecture of an IoT-based systems, focusing on the main components and their value to the overall system. In addition, a perspective on electronic health records and on privacy and security issues are overviewed, along with the review of clinical cases of IoT-based systems. Given IoT clear acceptability and affordability among youngers and elders, combined to a broad range of devices and machine learning techniques, it’s expected these devices will facilitate in many ways health providers’ job, as long as other topics like data protection keep side-by-side.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Homework X - Biomaterials Science.
An extracorporeal artificial organ is a man-made device that is integrated into a human — interfacing with living tissue — to replace a natural organ, for the purpose of duplicating or augmenting a specific function or a group of related functions so the patient may return to a normal life as soon as possible. The replaced function doesn't necessarily have to be related to life support, but it often is.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Homework IX - Biomaterials Science.
Many pathologies arise from deficiencies in diffracting the light due to abnormal morphologies of cornea; lens opacity (due to aging, most of the times) ...
Two practical cases are now studied deeply in a patient and biocompatibility scope.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Homework VIII - Biomaterials Science.
All biomaterials introduced in the human body, inevitably, will generate a biological response. The size, shape, and chemical and physical properties of the biomaterial and the physical dimensions and properties of the prosthesis or device are responsible for variations in the intensity and time duration of the inflammatory and wound healing processes.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Homework VII - Biomaterials Science
Essentially, all organisms from bacteria to humans are mechanosensitive. Physical forces are known to regulate an enormous amount of processes which play an important role in homeostasis. Thus, the main questions around this topic evolved from its importance to how it is possible to transduce mechanical stimulus into biochemical responses.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Mechanisms in Aqueous Solution for Corrosion of Metal AlloyLuís Rita
Homework VI - Biomaterials Science.
Corrosion is a natural process which can be found, not only in metals, but also in ceramics and polymers (instead of corrosion, it is usually called “degradation”). 2 main concerns around this topic include economic and security issues. In fact, big accidents related to corrosion are present in the world’s history... Some involved crashed bridges and sunk ships. Processes to avoid events like this should be carefully chosen, accordingly to our monetary resources, as well as considering the severity of a hypothetical situation where the material can fail (e.g. - if there are any lives at risk).
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Using Deep Learning to Identify Cyclists' Risk Factors in London | PresentationLuís Rita
The aim of this project was to use object detection and image segmentation models to extract cyclists’ road risk factors from GSV images of London. This involved compiling road safety indicators and risk factors; analysing a GSV dataset, before using two state-of-the-art tools, YOLOv5 and PSPNet101, to detect objects and segment images, respectively, and further analysing their results; determining the limitations of YOLOv5, PSPNet101 and suggesting ways of making cyclists’ safety assessment more accurate.
Machine Learning for Building a Food Recommendation SystemLuís Rita
Many factors influence individual’s health, such as physical exercise, sleep, nutrition, heredity and pollution. Being nutrition one of the biggest modifiable factors in our lives, small changes can have a big impact. With the exponential increase in the number of available food options, it is not possible to take them all into account anymore. The only way to consider user taste preferences, maximize the number of healthy compounds and minimize the unhealthy ones in food, is using (3D) recommendation systems.
The goal of this project was to use the largest publicly available collection of recipe data (Recipe1M+) to build a recommendation system for ingredients and recipes. Train, evaluate and test a model able to predict cuisines from sets of ingredients. Estimate the probability of negative recipe-drug interactions based on the predicted cuisine. Finally, to build a web application as a step forward in building a 3D recommendation system.
A vectorial representation for every ingredient and recipe was generated using Word2Vec. An SVC model was trained to return recipes’ cuisines from their set of ingredients. South Asian, East Asian and North American cuisines were predicted with more than 73% accuracy. African, Southern European and Middle East cuisines contain the highest number of cancer-beating molecules. Finally, it was developed a web application able to predict the ingredients from an image, suggest new combinations and retrieve the cuisine the recipe belongs, along with a score for the expected number of negative interactions with antineoplastic drugs (github.com/warcraft12321/HyperFoods).
Machine Learning | Food Recommendation | Web Application
INSaFLU | Innovation and Entrepreneurship ReportLuís Rita
Along with my master thesis Community Finding with Applications on Phylogenetic Networks, in which a set of visualization and analysis tools were developed, I was enrolled in an internship in Instituto Nacional de Saúde Doutor Ricardo Jorge. Some of the tools implemented during the thesis will be soon introduced in INSaFLU, a web application developed in this institution. Below, the app and the developed modules are detailed.
BIG Smart Cities is one of the biggest entrepreneurship competitions organized in Portugal. This year, it counted with more than 200 projects from all over the world.
Smarty is the name of the project I decided to submit. Mine was the winner in the category of "5G University Challenge".
Besides having received mentoring from Vodafone, Ericsson and Municipality of Cascais, it was given me the opportunity to have an internship in one of the 2 first companies. Plus, a monetary award to accelerate the project.
Website: https://warcraft12321.github.io/Smarty/index.html
App: https://play.google.com/store/apps/details?id=appinventor.ai_luis20dr.Smarty2&hl=pt
A remote controlled car and the respective app were developed under the supervision of Prof. Luís Sousa, from Instituto Superior Técnico (University of Lisbon).
[App]
Using MIT App Inventor 2, we developed an Android app that is able to control many features of a RC car, using a Bluetooth connection. Specifically, the angular velocity of the back wheels, the rotation angle of a front servo, a horn, music, light and GPS components.
[Car]
All parts of the RC car were modelled using the CAD software SolidWorks. The complete model was divided in several components (which were meant to be 3D printed separately): wheels, chassis, L-shape axles, connecting bar and the body of the car.
https://warcraft12321.github.io/RCar/
Community Finding with Applications on Phylogenetic Networks [Thesis]Luís Rita
With the advent of high-throughput sequencing methods, new ways of visualizing and analyzing increasingly amounts of data are needed. Although some software already exist, they do not scale well or require advanced skills to be useful in phylogenetics.
The aim of this thesis was to implement three community finding algorithms – Louvain, Infomap and Layered Label Propagation (LLP); to benchmark them using two synthetic networks – Girvan-Newman (GN) and Lancichinetti-Fortunato-Radicchi (LFR); to test them in real networks, particularly, in one derived from a Staphylococcus aureus MLST dataset; to compare visualization frameworks – Cytoscape.js and D3.js, and, finally, to make it all available online (mscthesis.herokuapp.com).
Louvain, Infomap and LLP were implemented in JavaScript. Unless otherwise stated, next conclusions are valid for GN and LFR. In terms of speed, Louvain outperformed all others. Considering accuracy, in networks with well-defined communities, Louvain was the most accurate. For higher mixing, LLP was the best. Contrarily to weakly mixed, it is advantageous to increase the resolution parameter in highly mixed GN. In LFR, higher resolution decreases the accuracy of detection, independently of the mixing parameter. The increase of the average node degree enhanced partitioning accuracy and suggested detection by chance was minimized. It is computationally more intensive to generate GN with higher mixing or average degree, using the algorithm developed in the thesis or the LFR implementation. In S. aureus network, Louvain was the fastest and the most accurate in detecting the clusters of seven groups of strains directly evolved from the common ancestor.
Community Finding with Applications on Phylogenetic Networks [Extended Abstract]Luís Rita
[Master Thesis Extended Abstract]
With the advent of high-throughput sequencing methods, new ways of visualizing and analyzing increasingly amounts of data are needed. Although some software already exist, they do not scale well or require advanced skills to be useful in phylogenetics.
The aim of this thesis was to implement three community finding algorithms – Louvain, Infomap and Layered Label Propagation (LLP); to benchmark them using two synthetic networks – Girvan-Newman (GN) and Lancichinetti-Fortunato-Radicchi (LFR); to test them in real networks, particularly, in one derived from a Staphylococcus aureus MLST dataset; to compare visualization frameworks – Cytoscape.js and D3.js, and, finally, to make it all available online (mscthesis.herokuapp.com).
Louvain, Infomap and LLP were implemented in JavaScript. Unless otherwise stated, next conclusions are valid for GN and LFR. In terms of speed, Louvain outperformed all others. Considering accuracy, in networks with well-defined communities, Louvain was the most accurate. For higher mixing, LLP was the best. Contrarily to weakly mixed, it is advantageous to increase the resolution parameter in highly mixed GN. In LFR, higher resolution decreases the accuracy of detection, independently of the mixing parameter. The increase of the average node degree enhanced partitioning accuracy and suggested detection by chance was minimized. It is computationally more intensive to generate GN with higher mixing or average degree, using the algorithm developed in the thesis or the LFR implementation. In S. aureus network, Louvain was the fastest and the most accurate in detecting the clusters of seven groups of strains directly evolved from the common ancestor.
Community Finding with Applications on Phylogenetic Networks [Presentation]Luís Rita
[Master Thesis Presentation]
With the advent of high-throughput sequencing methods, new ways of visualizing and analyzing increasingly amounts of data are needed. Although some software already exist, they do not scale well or require advanced skills to be useful in phylogenetics.
The aim of this thesis was to implement three community finding algorithms – Louvain, Infomap and Layered Label Propagation (LLP); to benchmark them using two synthetic networks – Girvan-Newman (GN) and Lancichinetti-Fortunato-Radicchi (LFR); to test them in real networks, particularly, in one derived from a Staphylococcus aureus MLST dataset; to compare visualization frameworks – Cytoscape.js and D3.js, and, finally, to make it all available online (mscthesis.herokuapp.com).
Louvain, Infomap and LLP were implemented in JavaScript. Unless otherwise stated, next conclusions are valid for GN and LFR. In terms of speed, Louvain outperformed all others. Considering accuracy, in networks with well-defined communities, Louvain was the most accurate. For higher mixing, LLP was the best. Contrarily to weakly mixed, it is advantageous to increase the resolution parameter in highly mixed GN. In LFR, higher resolution decreases the accuracy of detection, independently of the mixing parameter. The increase of the average node degree enhanced partitioning accuracy and suggested detection by chance was minimized. It is computationally more intensive to generate GN with higher mixing or average degree, using the algorithm developed in the thesis or the LFR implementation. In S. aureus network, Louvain was the fastest and the most accurate in detecting the clusters of seven groups of strains directly evolved from the common ancestor.
Espetros de Absorção Eletrónica de CianinasLuís Rita
Relatório - Princípios de Química-Física.
Este trabalho laboratorial consiste no estudo dos espetros de absorção eletrónica de duas famílias de cianinas no VIS-UV próximo, mais precisamente as famílias 2Cn e 4Cn, recorrendo-se para tal a um espetrofotómetro de UV-VIS.
IST - 3º Ano - 2º Semestre - Engenharia Biomédica.
2º Relatório - Física da Radiação.
1. Configuração e ajuste de parâmetros; O multicanal; Calibração em energia do sistema;
2. Estudo do espetro das fontes: 137Cs e 60Co;
3. Estudo da atenuação de gamas na matéria
IST - 4º Ano - 1º Semestre - Engenharia Biomédica.
1º Relatório - Física da Radiação.
1. Estudo da curva de resposta do detetor em função da tensão aplicada e escolha da zona de operação;
2. Estudo da Eficiência do Detetor para as Radiações 훽 e 훾;
3. Estudo da lei de variação da taxa de contagem com a distância do detetor à fonte.
IST - 4º Ano - 1º Semestre - Engenharia Biomédica.
1st Project - Health Systems.
Day after day, health is becoming an increasingly hot issue in our daily life. Particularly, ageing can be thought as one of the primary causes for such an increasing demand and expense in health services. Therefore, it’s not surprising a larger fraction of the countries’ domestic gross product is being allocated to improve care, provided by health authorities, as well as public services, guaranteeing a pleasurable and safe coexistence among people.
One way of achieving such goals, without excessive expenditure, is using decision support models. In one hand, it’s true that forecasting [Request 3], linear programming [Request 4] or a mere construction of a decision tree [Request 2] entails some costs. But, at the end, countries or health services that better apply these mathematical techniques are achieving better results with the same or lower costs.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
The Role of Internet-of-Things (IoT) in HealthcareLuís Rita
1st Project - Health Systems.
As a result of ageing population, increasing demand and evolving technology on healthcare systems, the progress in the Internet of Things (IoT) has a key role in suppressing all these needs, in particular, redesigning modern health care with promising technological, economic and social prospects. This paper attempts to comprehensively review the current research and development on the impact of IoT in Healthcare. Relying on a comprehensive literature review, this paper analyses the architecture of an IoT-based systems, focusing on the main components and their value to the overall system. In addition, a perspective on electronic health records and on privacy and security issues are overviewed, along with the review of clinical cases of IoT-based systems. Given IoT clear acceptability and affordability among youngers and elders, combined to a broad range of devices and machine learning techniques, it’s expected these devices will facilitate in many ways health providers’ job, as long as other topics like data protection keep side-by-side.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
The Role of Internet-of-Things (IoT) in HealthcareLuís Rita
1st Project - Health Systems.
As a result of ageing population, increasing demand and evolving technology on healthcare systems, the progress in the Internet of Things (IoT) has a key role in suppressing all these needs, in particular, redesigning modern health care with promising technological, economic and social prospects. This paper attempts to comprehensively review the current research and development on the impact of IoT in Healthcare. Relying on a comprehensive literature review, this paper analyses the architecture of an IoT-based systems, focusing on the main components and their value to the overall system. In addition, a perspective on electronic health records and on privacy and security issues are overviewed, along with the review of clinical cases of IoT-based systems. Given IoT clear acceptability and affordability among youngers and elders, combined to a broad range of devices and machine learning techniques, it’s expected these devices will facilitate in many ways health providers’ job, as long as other topics like data protection keep side-by-side.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Homework X - Biomaterials Science.
An extracorporeal artificial organ is a man-made device that is integrated into a human — interfacing with living tissue — to replace a natural organ, for the purpose of duplicating or augmenting a specific function or a group of related functions so the patient may return to a normal life as soon as possible. The replaced function doesn't necessarily have to be related to life support, but it often is.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Homework IX - Biomaterials Science.
Many pathologies arise from deficiencies in diffracting the light due to abnormal morphologies of cornea; lens opacity (due to aging, most of the times) ...
Two practical cases are now studied deeply in a patient and biocompatibility scope.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Homework VIII - Biomaterials Science.
All biomaterials introduced in the human body, inevitably, will generate a biological response. The size, shape, and chemical and physical properties of the biomaterial and the physical dimensions and properties of the prosthesis or device are responsible for variations in the intensity and time duration of the inflammatory and wound healing processes.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Homework VII - Biomaterials Science
Essentially, all organisms from bacteria to humans are mechanosensitive. Physical forces are known to regulate an enormous amount of processes which play an important role in homeostasis. Thus, the main questions around this topic evolved from its importance to how it is possible to transduce mechanical stimulus into biochemical responses.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Mechanisms in Aqueous Solution for Corrosion of Metal AlloyLuís Rita
Homework VI - Biomaterials Science.
Corrosion is a natural process which can be found, not only in metals, but also in ceramics and polymers (instead of corrosion, it is usually called “degradation”). 2 main concerns around this topic include economic and security issues. In fact, big accidents related to corrosion are present in the world’s history... Some involved crashed bridges and sunk ships. Processes to avoid events like this should be carefully chosen, accordingly to our monetary resources, as well as considering the severity of a hypothetical situation where the material can fail (e.g. - if there are any lives at risk).
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
8. University of Lisbon
Faculdade de Arquitetura [Arquitecture]
Faculdade de Belas-Artes [Arts]
Faculdade de Ciências [Sciences]
Faculdade de Direito [Law]
Faculdade de Farmácia [Pharmacy]
Faculdade de Letras [Humanities]
Faculdade de Medicina [Medicine]
Faculdade de Medicina Dentária [Dental Medicine]
Faculdade de Medicina Veterinária [Veterinary Medicine]
Faculdade de Motricidade Humana [Human Motricity]
Faculdade de Psicologia [Psychology]
Instituto de Ciências Sociais [Social Sciences]
Instituto de Educação [Education]
Instituto de Geografia e Ordenamento do Território [Geography & Spatial Planning]
Instituto Superior de Agronomia [Agronomy]
Instituto Superior de Economia e Gestão [Economy and Management]
Instituto Superior de Ciências Sociais e Políticas [Social Sciences and Politics]
Instituto Superior Técnico [Engineering]
Professor António Cruz Serra
President 2017-2021