Classification of Epilepsy

An understanding of the definitions, classification, and key characteristics of seizures and epilepsy is vital in the initial approach to a patient presenting with seizures. Classifying seizures appropriately helps narrow the differential diagnosis and guide further testing, treatment, and prognosis. This chapter reviews the basic definitions and classifications of seizures and epilepsy and summarizes select epilepsy syndromes. A seizure is a transient occurrence of signs or symptoms due to abnormal, excessive, or synchronous neuronal activity in the brain.

Collaborative Cataloging of Spanish Industrial Heritage Assets through Teaching in Project Management Subjects

The cataloguing experience presented addresses two key challenges of cataloguing industrial heritage assets. On the one hand, despite their value and interest, some of these assets are little known and difficult to identify. Moreover, on the other hand, this heritage typology needs further promotion and valuation. In this context, collaborative cataloging responds to both challenges from its initial approach. Unlike cataloging tasks developed by small teams, involving many people throughout the territory allows to take advantage of the local knowledge of each participant. However, in addition, each participant contributes to the dissemination of the goods collected in the generated catalog. First in a passive way, when knowing the contributions of the rest of the participants. Secondly, actively, by disseminating the cataloging initiative developed among their contacts. This cataloguing experience has been developed with the students of the subject Environmental Project Management during the last four courses. The assets selected by the students (106) as case studies to develop a reuse project are shown in an open web map, which includes the narrated video presentation of the proposal developed for some of them (25). The obtained results contribute both the identification and promoting of this kind of assets.

Centralized archiving and recordkeeping in a new institution: the European Monetary Institute and its Archives 1994-1998

In 1994, the European Monetary Institute (EMI) was established. Based first in Basel (Switzerland), and subsequently in Frankfurt am Main (Germany), the newly created institute was one of the most structurally significant outcomes of the 1992 Treaty of Maastricht and was intended to shepherd the creation of a new currency for the European Union - the Euro banknotes and coins - as well as to prepare for the establishment of the future European Central Bank (ECB). Unlike many other new institutions, recordkeeping was considered from the organization’s inception. The initial approach adopted was highly centralized and was deemed unsustainable in light of the experience of a fast-growing institution. While unsuccessful initially, the experience provided many insights and avenues of theoretical development when new recordkeeping functions were instituted upon the establishment of the ECB in 1998.

Prediction of treatment outcome in burning mouth syndrome patients using machine learning based on clinical data

The purpose of this study is to apply a machine learning approach to predict whether patients with burning mouth syndrome (BMS) respond to the initial approach and clonazepam therapy based on clinical data. Among the patients with the primary type of BMS who visited the clinic from 2006 to 2015, those treated with the initial approach of detailed explanation regarding home care instruction and use of oral topical lubricants, or who were prescribed clonazepam for a minimum of 1 month were included in this study. The clinical data and treatment outcomes were collected from medical records. Extreme Gradient-Boosted Decision Trees was used for machine learning algorithms to construct prediction models. Accuracy of the prediction models was evaluated and feature importance calculated. The accuracy of the prediction models for the initial approach and clonazepam therapy was 67.6% and 67.4%, respectively. Aggravating factors and psychological distress were important features in the prediction model for the initial approach, and intensity of symptoms before administration was the important feature in the prediction model for clonazepam therapy. In conclusion, the analysis of treatment outcomes in patients with BMS using a machine learning approach showed meaningful results of clinical applicability.

An Initial Approach for Biofeedback-Based Stress Analysis

Stress is a customary response the body has once changes happen. The body responds to progressions with physical, mental, and enthusiastic reactions. Stress could be a traditional and an everyday issue. You will be prepared to worry from your air, your body, and your thoughts. The authors explore stress through some polls. The present article is an effort to measure the mental fitness of subjects in Delhi, NCR region of India and is a representation of the South Asian continent.