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An evolving cognitive approach to dyscalculia screening and therapeutics

Ferraz, Filipa Tinoco

A crescente taxa de insucesso escolar e o aumento da aversão à matemática têm geralmente origem na discalculia. A sua incidência na população é de cerca de 6 a 7%, e o facto de que é praticamente desconhecida faz com que a sua associação à discalculia seja difícil de se realizar, tendo um impacto negativo no quotidiano dos indivíduos. Uma vez que esta desordem existe desde a conceção, é crucial iniciar a terapê...


A Multi-valued Logic Assessment of organizational performance via workforce soc...

Neves, José; Fdez-Riverola, Florentino; Alves, Victor; Ferraz, Filipa Tinoco; Sousa, Lia; Costa, António; Ribeiro, Jorge; Vicente, Henrique

Social Media have changed the conditions and rules of Social Networking (SNet) where it comes from people intermingling with each other, i.e., SNet is to be understood as a process that works on the principle of many-to-many; any individual can create and share content. It is intended to explore explore the complex dynamics between SNet, Logic Programming (LP), and the Laws of Thermodynamic (LoT) in terms of en...


Entropy and organizational performance

Neves, José; Maia, Nuno; Marreiros, Goreti; Neves, Mariana; Fernandes, Ana; Ribeiro, Jorge; Araújo, Isabel; Araújo, Nuno; Ávidos, Liliana

The main purpose of this article is to analyze the impact of the workers’ behavior in terms of their emotions and feelings in system’s performance, i.e., one is looking at issues concerned with Organizational Sustainability. Indeed, one’s aim is to define a process that motivates and inspires managers and personnel to act upon the limit, i.e., to achieve the organizational goals through an effective and efficie...


A deep learning line to assess patient’s lung cancer stages

Dias, André; Fernandes, João Vieira; Monteiro, Rui; Machado, Joana; Ferraz, Filipa Tinoco; Neves, João; Sampaio, Luzia; Ribeiro, Jorge

Our goal is to pursue a vision of developing and maintaining a comprehensive and integrated computer model to help physicians plan the most appropriate treatment and anticipate a patient’s prospects for the extent of cancer. For example, cancer can be treated at an early stage by surgery or radiation, while chemotherapy may be the care for more advanced stages. In fact, early detection of this type of cancer fa...


Prediction of neoadjuvant chemotherapy outcome in breast cancer patients

Neves, José; Dias, Almeida; Silva, Carlos César Loureiro; Ferreira, Diana; Costa, Luís; Ferraz, Filipa Tinoco; Alves, Victor; Ribeiro, Jorge

Breast Cancer is the most common invasive cancer in women worldwide. Indeed, it is imperative to investigate which factors influence the development of this disease in order to improve the efficiency of the treatment and to allow for a balanced follow-up. In fact, this article has in mind an original Case Based Reasoning (CBR) approach to problem solving, complemented with a novel approach to Knowledge Represen...


A MRI view of brain tumor outcome prediction

Neto, Cristiana; Dias, Inês; Santos, Maria; Alves, Victor; Ferraz, Filipa Tinoco; Neves, João; Vicente, Henrique; Neves, José

On the one hand, cancer and tumor are one of the most feared terms in today’s society. It refers to an unstable growth of cells that potentially invade the surrounding tissues and may eventually lead to edema or even death. On the other hand, the term tumor is often misleading since people assume that it is the same as cancer, but this is not necessarily true. A cancer is a particularly threatening type of tumo...


Predicting diabetic foot maturing through evolutionary computation

Neves, José; Alves, André; Prata, Marco; Ribeiro, Mário; Alves, Victor; Ferraz, Filipa Tinoco; Neves, João; Ribeiro, Jorge; Capita, António

It is a twenty-first-century disease, its numbers are still growing exponentially. This brings one to the subject of this work, the Maturing of Diabetic Foot which, like diabetes, rises to values never seen before. It is envisaging the development of an ImageJ plug-into extract relevant feature from diabetic foot images and, in conjunction with the patient’s clinical and lifelong data, a computational system to...


Dyscalculia: A behavioural vision

Ferraz, Filipa Tinoco; Neves, José; Alves, Victor; Vicente, Henrique

Learning Disabilities (LD) constitute a diverse group of disorders in which children who generally possess at least average intelligence have problems processing information or generating output, i.e., LD may be interpreted as a neurologically-based processing problem. The causes and treatment of LD, namely reading disorders has been the subject of considerable thought and study. Being one among others, this is...


Assessing individuals learning’s impairments from a social entropic perspective

Neves, José; Ferraz, Filipa Tinoco; Dias, Almeida; Capita, António; Ávidos, Liliana; Maia, Nuno; Machado, Joana; Alves, Victor; Ribeiro, Jorge

Individuals with Learning Impairments (LI) may have not only language problems as reading, spelling and writing, but also difficulties in terms of their relationship with the society, i.e., may have glitches not only with language but also with social handiness. On the other hand, the dimension that most contributes to the process of acceptance or integration of an individual in a learning environment or in the...


An evolutionary computing approach to diabetic foot analysis

Neves, João; Vicente, Henrique; Couto, Diogo; Azevedo, João; Pereira, Juliana; Ferraz, Filipa Tinoco; Alves, Victor; Neves, José

Evolutionary Algorithms are based on heuristics, being able to find solutions to different kinds of problems. Knowledge representation techniques, in turn, aim the representation of the real world, using mechanical, logical or other descriptions. Usually, in the evolutionary computation area, the problems are clearly defined allowing straightforward comparisons of the performance of the competing entities. Inde...


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