Urethral caruncles are the most common benign tumors in the female urethra, and are usually found in the posterior lip of the urethral meatus of post-menopausal women. It is very rare in young girls. Its etiology is unknown. We add a case of urethral caruncle occurring in a 2 year and 5 month-old girl's mid-urethra. We believe that further accumulation of unusual cases may be helpful in discove...

Data mining technology allows large volumes of data to be exploited for discovering previously unknown,possibly useful knowledge. The speed and extent of developments in information technologies have increased the power and potential of data mining.However, the privacy of personally sensitive information is not respected generally in the process,which creates ethical and legal problems in some ...

Data mining is a form of knowledge discovery essential for solving problems in a specific domain. Classification is a technique used for discovering classes of unknown data. Various methods for classification exists like bayesian, decision trees, rule based, neural networks etc. Before applying any mining technique, irrelevant attributes needs to be filtered. Filtering is done using different f...

Data Mining (DM) represents the process of extracting interesting and previously unknown knowledge from data. This study proposes a new algorithm called FD_Discover for discovering Functional Dependencies (FDs) from databases. This algorithm employs some concepts from relational databases design theory specifically the concepts of equivalences and the minimal cover. It has resulted in large imp...

This paper studies the problem of a mobile agent autonomously discovering objects within an unknown environment. We demonstrate an unsupervised clustering algorithm capable of grouping environmental features into distinct groups, and show how this clustering algorithm can be used to segment the world into seperate objects. The problem of learning the structure of the environment is also address...

Discovering unknown lemmas, generalisations and other eureka steps is a major challenge for automated theorem proving. Proof-planning critics can help automate these steps by making use of information from failed proof attempts. Our proposed research will extend existing critics for higher-order logic in the IsaPlanner system, as well as develop new critics. With the assistance of critics we ex...

Background: Protein-protein interactions do not provide any direct information re‌garding the domains within the proteins that mediate the interactions. The majority of proteins are multi domain proteins and the interaction between them is often defined by the pairs of their domains. Most of the former studies focus only on interacting do‌main pairs. However they do not consider the in...

We propose a learning algorithm for discovering unknown parameterized dynamical systems by using observational data of the state variables. Our method is built upon and extends recent work systems, in particular those deep neural network (DNN). DNN structure, largely based residual (ResNet), to not only learn form governing equation but also take into account random effect embedded system, whic...

Worldwide urbanisation emphasises the importance of planning for cities that sustain and promote well-being their residents. The a living environment supports requires both intersectoral cooperation between policy sectors interaction researchers practitioners. With 12 case studies (of 11 Finnish municipalities one city region), we provide description knowledge co-production process originating ...