Levetiracetam in clinical practice: efficacy and tolerability in epilepsy.

BACKGROUND: The aim of this study was to evaluate efficacy and tolerability of levetiracetam (LEV) in patients with different epilepsy syndromes. METHODS: We evaluated epileptic patients seen in the previous 18 months, including all patients with present or past exposure to LEV. Tolerability of LEV therapy was evaluated in all patients; efficacy was evaluated only in patients who had received LEV for at least six months. Two hundred and two patients were included in the study. Patients were considered responsive when showing a > 50% reduction in seizures frequency and non-responders when seizure frequency was unchanged, worsened or showed a reduction < 50%. RESULTS: Thirty patients did not complete six months of LEV treatment and dropped out. 57.4% of the patients with uncontrolled seizures treated for at least six months were responders, with 27.7% seizure free. Adverse effects were observed in 46 patients (23%) and were responsible for early drop out in 26. Adverse effects occurred significantly more often in females than in males (30.6% vs 13.2%); moreover, nearly 30% of women with adverse effects complained of more than one adverse effect, while this was never observed in male patients. CONCLUSIONS: Our study shows LEV as a well tolerated and effective treatment, both in monotherapy and as an add-on. Further investigations on larges samples are needed to investigate the issue of gender-related tolerability

Transient epileptic amnesia: an emerging late-onset epileptic syndrome.

Transient epileptic amnesia (TEA) is a distinct neurologic condition occurring in late-middle/old age and presenting with amnesic attacks of epileptic nature and interictal memory disturbances. For many years this condition has been associated with the nonepileptic condition of transient global amnesia (TGA) and still today is poorly recognized by clinicians. Despite the clinical and laboratory findings that distinguish TEA from TGA, differential diagnosis may be difficult in the individual patient. Every effort must be employed for an early diagnosis, since antiepileptic treatment may readily control both ictal episodes and memory disturbances

Sloshing dynamics estimation for liquid-filled containers performing 3-dimensional motions: modeling and experimental validation

Many industrial applications require the displacement of liquid-filled containers on planar paths (namely, paths on a horizontal plane), by means of linear transport systems or serial robots. The movement of the liquid inside the container, known as sloshing, is usually undesired, thus there is the necessity to keep under control the peaks that the liquid free-surface exhibits during motion. This paper aims at validating a model for estimating the liquid sloshing height, taking into account 2-dimensional motions of a cylindrical container occurring on a horizontal plane, with accelerations up to 9.5&nbsp;m/s2. This model can be exploited for assessment or optimization purposes. Experiments performed with a robot following three paths, each one of them with different motion profiles, are described. Comparisons between experimental results and model predictions are provided and discussed. Finally, the previous formulation is extended in order to take into account the addition of a vertical acceleration, up to 5&nbsp;m/s2. The resulting 3-dimensional motions are experimentally validated to prove the effectiveness of the extended technique

Outdoor Performance of Organic Photovoltaics: Comparative Analysis

Organic photovoltaic (OPV) solar cells represent an emerging and promising solution for low-cost clean energy production. Being flexible and semi-transparent and having significant advantages over conventional PV technologies, OPV modules represent an innovative solution even in applications that cannot be based on traditional PV systems. However, relatively low efficiencies, poor long-term stability, and thermal issues have so far prevented the commercialization of this technology. This paper describes two outdoor experimental campaigns that compared the operation of OPV modules with traditional PV modules—in particular crystalline silicon and copper–indium– selenium (CIS)—and assessed the OPV modules’ power generation potential in vertical installation and facing towards the cardinal directions

Correlation between magnetic interactions and domain structure in A1 FePt ferromagnetic thin films

We have investigated the relationship between the domain structure and the magnetic interactions in a series of FePt ferromagnetic thin films of varying thickness. As-made films grow in the magnetically soft and chemically disordered A1 phase that may have two distinct domain structures. Above a critical thickness $d_{cr}\sim 30$ nm the presence of an out of plane anisotropy induces the formation of stripes, while for $d<d_{cr}$ planar domains occur. Magnetic interactions have been characterized using the well known DCD-IRM remanence protocols, $\delta M$ plots, and magnetic viscosity measurements. We have observed a strong correlation between the domain configuration and the sign of the magnetic interactions. Planar domains are associated with positive exchange-like interactions, while stripe domains have a strong negative dipolar-like contribution. In this last case we have found a close correlation between the interaction parameter and the surface dipolar energy of the stripe domain structure. Using time dependent magnetic viscosity measurements, we have also estimated an average activation volume for magnetic reversal, $\langle V_{ac}\rangle \sim 1.37\times 10^{4}$ nm$^{3},$ which is approximately independent of the film thickness or the stripe period.Comment: 25 pages, 11 figure

Task Complexity, and Operators’ Capabilities as Predictor of Human Error: Modeling Framework and an Example of Application

This paper presents the initial framework adopted to assess human error in assembly tasks at a large manufacturing company in Ireland. The model to characterize and predict human error presented in this paper is linked conceptually to the model introduced by Rasch (1980), where the probability of a specified outcome is modelled as a logistic function of the difference between the person capacity and item difficulty. The model needs to be modified to take into account an outcome that is not dichotomous and feed into the interaction between two macro factors: (a) Task complexity: that sum-marises all factors contributing to physical and mental workload requirements for execution of a given operative task & (b) Human capability: that considered the skills, training and experience of the people facing the tasks, representing a synthesis of their physical and cognitive abilities to verify whether or not they are matching the task requirements. Task complexity can be evaluated as a mathematical construct considering the compound effects of Mental Workload Demands and Physical Workload Demands associated to an operator task. Similarly, operator capability can be estimated on the basis of the operators’ set of cognitive capabilities and physical conditions. A linear regression model was used to fit a dataset collected in R. The estimation of task complexity and operator skills was used to estimate human performance in a Poisson regression model. The preliminary results suggest that both elements are significant in predicting error occurrence

Cost Benefit Evaluation of Maintenance Options for Aging Equipment Using Monetised Risk Values: A practical application

With constant pressure to reduce maintenance costs as well as short-term budget constraints in a changing market environment, asset managers are compelled to continue operating aging assets while deferring maintenance and investment. The scope of the paper is to get an overview of the methods used to evaluate risks and opportunities for deferred maintenance interventions on aging equipment, and underline the importance to include monetised risk considerations and timeline considerations, to evaluate different scenarios connected with the possible options. Monetised risk values offer the opportunity to support risk-based decision-making using the data collected from the field. The paper presents examples of two different methods and their practical applicability in two case studies in the energy sector for a company managing power stations. The use of the existing and the new proposed solutions are discussed on the basis of their applicability to the concrete examples

Optimizing Wearable Assistive Devices with Neuromuscular Models and Optimal Control

The coupling of human movement dynamics with the function and design of wearable assistive devices is vital to better understand the interaction between the two. Advanced neuromuscular models and optimal control formulations provide the possibility to study and improve this interaction. In addition, optimal control can also be used to generate predictive simulations that generate novel movements for the human model under varying optimization criterion

Cost benefit evaluation of maintenance options for aging equipment using monetised risk values: A practical application

With constant pressure to reduce maintenance costs as well as short-term budget constraints in a changing market environment, asset managers are compelled to continue operating aging assets while deferring maintenance and investment. The scope of the paper is to get an overview of the methods used to evaluate risks and opportunities for deferred maintenance interventions on aging equipment, and underline the importance to include monetised risk considerations and timeline considerations, to evaluate different scenarios connected with the possible options. Monetised risk values offer the opportunity to support risk-based decision-making using the data collected from the field. The paper presents examples of two different methods and their practical applicability in two case studies in the energy sector for a company managing power stations. The use of the existing and the new proposed solutions are discussed on the basis of their applicability to the concrete examples