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A Machine Learning Approach for Predicting Microsatellite Instability using RNA-seq

A Machine Learning Approach for Predicting Microsatellite In...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Simões, Miguel Pereira, Tania Silva, Francisco MacHado, José Carlos Oliveira, Hélder P. University of Porto Inesc Tec - Institute for Systems and Computer Engineering Technology and Science Feup - Faculty of Engineering Porto Portugal Inesc Tec - Institute for Systems and Computer Engineering Technology and Science Porto Portugal University of Porto Inesc Tec - Institute for Systems and Computer Engineering Technology and Science Fcup - Faculty of Science Porto Portugal University of Porto Ipatimup - Institute of Molecular Pathology and Immunology i3S - Instituto de Investigação e Inovação em Saúde Fmup - Faculty of Medicine Porto Portugal

ISBN: (纸本)9798350337488

Microsatellite Instability (MSI) is an important biomarker in cancer patients, showing a defective DNA mismatch repair system. Its detection allows the use of immunotherapy to treat cancer, an approach that is revolutionizing cancer treatment. MSI is especially relevant for three types of cancer: Colon Adenocarcinoma (COAD), Stomach Adenocarcinoma (STAD), and Uterus corpus endometrial cancer (UCEC). In this work, learning algorithms were employed to predict MSI using RNA-seq data from The Cancer Genome Atlas (TCGA) database, with a focus on the selection of the most informative genomic features. The Multi-Layer Perceptron (MLP) obtained the best score (AUC = 98.44%), showing that it is possible to exploit information from RNA-seq data to find relevant relationships with the instability levels of microsatellites (MS). The accurate prediction of MSI with transcription data from cancer patients will help with the correct determination of MSI status and adequate prescription of immunotherapy, creating more precise and personalized patient care. At the genetic level, the study revealed a high expression of genes related to cell regulation functions, and a low expression of genes responsible for Mismatch Repair functions, in patients with high instability. © 2023 IEEE.

关键词： Artificial Neural Networks Cancer Immunotherapy Microsatellite Instability Prediction RNA-seq Data

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Design and Development of a Fixed-Wing Tail-Sitter Tethered VTOL Drone with Custom Autopilot and Robust Control techniques 16th

Design and Development of a Fixed-Wing Tail-Sitter Tether...

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16th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2024

作者： Safaee, Ahmad Aguiar, A. Pedro Santos, Filipe Neves Moreira, Antonio Paulo SYSTEC-ARISE Research Center for Systems and Technologies Faculty of Engineering University of Porto Porto4200-465 Portugal INESC-TEC-Institute for Systems and Computer Engineering Technology and Science CRIIS-Centre for Robotics in Industry and Intelligent Systems Porto4200-465 Portugal INESC-TEC-Institute for Systems and Computer Engineering and DEEC/FEUP - Department of Electrical and Computer Engineering Faculty of Engineering of the University of Porto Porto4200-465 Portugal

ISBN: (纸本)9783031817236

The need for aerial platforms capable of sustained operation is critical in fields such as surveillance, agricultural monitoring, disaster response, and temporary telecommunication systems. Traditional unmanned aerial vehicles (UAVs) are hampered by limited battery capacity and inefficient energy utilization. This paper introduces an autonomous vertical flight drone tethered to a ground-based platform, which overcomes these limitations. The drone is designed to optimize its position and energy usage by harnessing wind currents, functioning similarly to a kite when conditions permit. This is enabled by a custom-designed autopilot system comprising both hardware and software tailored for this application. We detail the model identification process for three vertical take-off and landing (VTOL) drone systems, employing authentic data that measures lateral positional errors from the tether. Robust mixed sensitivity controllers are developed and implemented. The effectiveness of these controllers is validated through simulations showing their capability to handle uncertainties. Furthermore, the practical application and robust performance of the system are confirmed by a real-world case study, highlighting its potential in real operational environments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： VTOL/STOL aircraft

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A Nonlinear Model Predictive Control Strategy for Trajectory Tracking of Omnidirectional Robots 16th

A Nonlinear Model Predictive Control Strategy for Trajector...

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16th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2024

作者： Ribeiro, Jorge Diogo Sobreira, Héber Miguel Moreira, António Paulo Faculty of Engineering University of Porto Porto4200-465 Portugal INESC TEC – Institute for Systems and Computer Engineering Technology and Science Porto4200-465 Portugal

ISBN: (纸本)9783031817236

This paper presents a novel Nonlinear Model Predictive Controller (NMPC) architecture for trajectory tracking of omnidirectional robots. The key innovation lies in the method of handling constraints on maximum velocity and acceleration outside of the optimization process, significantly reducing computation time. The controller uses a simplified process model to predict the robot’s state evolution, enabling real-time cost function minimization through gradient descent methods. The cost function penalizes position and orientation errors as well as control effort variation. Experimental results compare the performance of the proposed controller with a generic Proportional-Derivative (PD) controller and a NMPC with integrated optimization constraints. The findings reveal that the proposed controller achieves higher precision than the PD controller and similar precision to the NMPC with integrated constraints, but with substantially lower computational effort. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Predictive control systems

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Novel adaptive protection approach for optimal coordination of directional overcurrent relays

Novel adaptive protection approach for optimal coordination ...

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Mediterranean Electrotechnical Conference (MELECON)

作者： Cleberton Reiz Everton Alves André Melim Clara Gouveia António Carrapatoso Institute for Systems and Computer Engineering Technology and Science - INESC TEC Porto Portugal

ISBN: (数字)9798350387025

ISBN: (纸本)9798350387032

The integration of inverter-based distributed generation challenges the implementation of an reliable protection This work proposes an adaptive protection method for coordinating protection systems using directional overcurrent relays, where the settings depend on the distribution network operating conditions. The coordination problem is addressed through a specialized genetic algorithm, aiming to minimize the total operating times of relays with time-delayed operation. The pickup current is also optimized. Coordination diagrams from diverse fault scenarios illustrate the method's adaptability to different operational conditions, emphasizing the importance of employing multiple setting groups for optimal protection system performance. The proposed technique provides high-quality solutions, enhancing reliability compared to traditional protection schemes.

关键词： Adaptive systems System performance Distribution networks Distributed power generation Reliability Protection Relays

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MANTIS: UAV for Indoor Logistic Operations

MANTIS: UAV for Indoor Logistic Operations

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Iberian Robotics Conference (ROBOT)

作者： André Dias João J. Martins José Antunes André Moura José Almeida INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal

ISBN: (数字)9798350376364

ISBN: (纸本)9798350376371

This paper presents the Unmanned Aerial Vehicle (UAV) MANTIS, developed for indoor inventory management in large-scale warehouses. MANTIS integrates a visual odometry (VIO) system for precise localization, thus allowing indoor navigation in complex environments. The mechanical design was optimized for stability and maneuverability in confined spaces, incorporating a lightweight frame and efficient propulsion system. The UAV is equipped with an array of sensors, including a 2D LiDAR, six cameras, and two IMUs, which ensures accurate data collection. The VIO system integrates visual data with inertial measurements to maintain robust, drift-free localization. A behavior tree (BT) framework is responsible for the UAV mission planner assigned to the vehicle, which can be flexible and adaptive in response to dynamic warehouse conditions. To validate the accuracy and reliability of the VIO system, we conducted a series of tests using an OptiTrack motion capture system as a ground truth reference. Comparative analysis between the VIO and OptiTrack data demonstrates the efficacy of the VIO system in maintaining accurate localization. The results prove MANTIS, with the required payload sensors, is a viable solution for efficient and autonomous inventory management.

关键词： Location awareness Visualization Accuracy Inventory management Autonomous aerial vehicles Robot sensing systems Stability analysis Vehicle dynamics Sensor arrays Visual odometry

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Enhancing power distribution protection: a comprehensive analysis of renewable energy integration challenges and mitigation strategies

Enhancing power distribution protection: a comprehensive ana...

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14th Mediterranean Conference on Power Generation Transmission, Distribution and Energy Conversion (MEDPOWER 2024)

作者： Everton Alves Cleberton Reiz André Melim Clara Gouveia Institute for Systems and Computer Engineering Technology and Science - INESC TEC Porto Portugal

ISBN: (数字)9781837242689

The integration of Distributed Energy Resources (DER) imposes challenges to the operation of distribution networks. This paper conducts a systematic assessment of the impact of DER on distribution network overcurrent protection, considering the behavior of Inverter Based Resources (IBR) during faults in the coordination of medium voltage (MV) feeders’ overcurrent protection. Through a detailed analysis of various scenarios, we propose adaptive protection solutions that enhance the reliability and resilience of distribution networks in the face of growing renewable energy integration. Results highlight the advantages of using adaptive protection over traditional methods and topology changes, and delve into current protection strategies, identifying limitations and proposing mitigation strategies.

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Unlocking Demand Response Potentials by Electric Vehicle Charging Stations in Smart Grids

Unlocking Demand Response Potentials by Electric Vehicle Cha...

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International Conference on Environment and Electrical engineering (EEEIC)

作者： Mohammad Sadegh Javadi Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal

ISBN: (数字)9798350355185

ISBN: (纸本)9798350355192

Increasing the number of Electric Vehicles (EVs) imposes several challenges in power distribution networks. Developed Electric Vehicle Supply Equipment (EVSE) provides fast and efficient charging of EVs at the Public Charging Stations (PCS). These chargers benefit from balanced three-phase chargers with considerable power consumption. Hence, the optimal management and task scheduling for EVSE should be arranged in such a way as to avoid overloading network infrastructure or imposing new peaks on the distribution networks. On the other hand, energy management in the presence of high renewable energy penetration due to installed Photovoltaic (PV) panels at the low-voltage (LV) distribution network should be elaborated to minimize the renewable power curtailment. Hence, this paper presents a novel model to address the optimal scheduling of charging stations availability and unlocking the Demand Response (DR) potentials at the distribution networks with highly penetrated PV panels. The energy management model is represented as a standard Mixed-Integer Linear Programming (MILP) problem which can be solved by open-source solvers. The proposed model is tested for a real case study in Portugal to demonstrate the functionality of the developed tool.

关键词： Photovoltaic systems Renewable energy sources Distribution networks Optimal scheduling Charging stations Demand response Smart grids Power systems Energy management Standards

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A Competency Definition Based on the Knowledge, Skills, and Human Dispositions Constructs 1st

A Competency Definition Based on the Knowledge, Skills, and ...

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1st EAI International Conference on Internet of Everything, IoECon 2022

作者： Pereira, Teresa Amaral, António Mendes, Isabel Centro ALGORITMI Universidade do Minho Guimarães Portugal INESC TEC—Institute for Systems and Computer Engineering Technology and Science Porto4200-465 Portugal

ISBN: (纸本)9783031252211

The competency-based learning approach arose from the Bologna signed declaration. However, a competency definition has never been easy and has been evolving and adapted over time, from indicators and learning goals to learning outcomes, which were formulated in terms of competencies. Meanwhile, the competency concept becomes discussed by pears, in particular, associating knowledge, skills, and human dispositions or attitudes into the competency definition. This information will be an essential update to the previous approaches and certainly contribute to achieving more accurate and reliable competencies information for employers and higher education institutions (HEI). This paper aims to reinforce the relevance of these concepts and suggest how each construct of "knowledge, skills and human dispositions" could be approached to formulate a competency. In addition, due to accelerated digital transformation, an example of a digital competency defined by the DigComp 2.0 framework, with proposed information regarding each of the three constructs, will be presented to consolidate this challenge. As future work, it is intended to analyze the eight different levels, and competency profiles defined by the European Qualification Framework (EQF) and assign a profile to each defined competency. In the end, it is expected altogether to contribute to achieving a competency roadmap definition. © 2023, ICST institute for computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Knowledge based systems

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ELECTRICAL VEHICLES - GRID INTEGRATION ISSUES AND SOLUTIONS

ELECTRICAL VEHICLES - GRID INTEGRATION ISSUES AND SOLUTIONS

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CIRED Porto Workshop 2022: E-Mobility and Power Distribution systems

作者： Küpper, Gerd Promel, François Benothman, Féres Carvalho, Leonel Magulski, Rafal ENGIE Impact Belgium INESC TEC - Institute for Systems and Computer Engineering Technology and Science Portugal Institute of Power Engineering Research Poland

ISBN: (数字)9781839537059

ISBN: (纸本)9781839537196

The EUniversal project aims to facilitate the use of flexibility services and to link distribution system's active management with electricity markets. In the framework of this project and based on optimal power flow simulations, the paper assesses the available flexibility of distributed generation and new loads, and their impact on operational planning of the electricity network under different conditions. In particular, it highlights the important role flexibility provided by electrical vehicles can play. More generally, it contributes to the question on how to design local flexibility markets, in terms of product definition and market delineation. © 2022 CIRED workshop on E-mobility and power distribution systems. All rights reserved.

关键词： Electric load flow

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THE EUNIVERSAL PORTUGUESE DEMONSTRATOR: FROM MV-LV COORDINATED IDENTIFICATION OF FLEXIBILITY NEEDS TO ACTIVATION THROUGH THE UMEI 27

THE EUNIVERSAL PORTUGUESE DEMONSTRATOR: FROM MV-LV COORDINAT...

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27th International Conference on Electricity Distribution, CIRED 2023

作者： Mourão, Rita Lopes Gouveia, Clara Sampaio, Gil Retorta, Fábio Merckx, Christian Benothman, Féres Águas, André Boto, Pedro Silva, Carlos Damas Milzer, Gesa Marzano, Giancarlo Dumont, Chloé Crucifix, Pierre Kaffash, Mahtab Heylen, Evelyn E-REDES Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Portugal ENGIE Impact Belgium NODES Norway N-SIDE Belgium Centrica Belgium

ISBN: (纸本)9781839539596

The EUniversal project, funded by the European Union, aims to establish a universal approach to the utilization of flexibility by Distribution System Operators (DSOs) and their engagement with new flexibility markets. To achieve this objective, the project team has focused on developing the Universal Market Enabling Interface (UMEI) concept. This paper presents an overview of the process of adapting grid core systems to interact with different market platforms and agents, which is a key aspect of the real-world demonstration set to take place in Portugal. © The Institution of engineering and technology 2023.

关键词： Electric power distribution

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