Botulinum toxin type A in the healing of ulcer following oro-mandibular dyskinesia in a patient in a vegetative state.

a 73-year-old man had a severe sub-arachnoid haemorrhage following the rupture of a giant aneurism of the middle left cerebral artery. Clinically, the patient pre-sented a vegetative state and an oro-mandibular dyskinesia that produced a chronic ulcer on the lower lip. as treatment for this dyskinesia, a total of 320 U botulinum toxin type a were injected into the upper and lower orbicularis oris and masseter muscles

Numerical test of Polyakov loop models in high temperature SU(2)

We study the compatibility of effective mean-field models of the Polyakov loop for the deconfined phase of SU(N) pure gauge theories with lattice data obtained for the case of SU(2), in the temperature range T_c - 4.8 T_c.Comment: Poster presented at Lattice2004(non-zero), Fermilab, June 21-26, 2004; 3 pages, 4 figures, uses espcrc2.st

A Lightweight Distributed Solution to Content Replication in Mobile Networks

Performance and reliability of content access in mobile networks is conditioned by the number and location of content replicas deployed at the network nodes. Facility location theory has been the traditional, centralized approach to study content replication: computing the number and placement of replicas in a network can be cast as an uncapacitated facility location problem. The endeavour of this work is to design a distributed, lightweight solution to the above joint optimization problem, while taking into account the network dynamics. In particular, we devise a mechanism that lets nodes share the burden of storing and providing content, so as to achieve load balancing, and decide whether to replicate or drop the information so as to adapt to a dynamic content demand and time-varying topology. We evaluate our mechanism through simulation, by exploring a wide range of settings and studying realistic content access mechanisms that go beyond the traditional assumptionmatching demand points to their closest content replica. Results show that our mechanism, which uses local measurements only, is: (i) extremely precise in approximating an optimal solution to content placement and replication; (ii) robust against network mobility; (iii) flexible in accommodating various content access patterns, including variation in time and space of the content demand.Comment: 12 page

Speckle Interferometry Analysis of Full-bending Behavior of GFRP Pultruded Material

The use of Glass Fiber Reinforced Polymer materials (GFRP) has increased in the last years even among civil structural engineering due to their high specific strength, lightweight and excellent corrosion resistance. With application of the pultrusion method, the manufacture of large-scale profiles with various cross-section forms became potentially possible with relatively low costs. Usually two different technological approaches are available to realize the element: in the first one a mat-roving-mat sequence is adopted, in the second one only roving is present. Continuous filament mat (CFM, fibers distributed randomly in all directions) is often used to build up laminate thickness quickly, as well as to enhance transversal strength and stiffness. Besides, the intrinsic particular features of GFRP materials require the application of new techniques of mechanical analysis to define a correct material model. Many papers study the mechanical behavior of GFRP structural elements at a macroscopic scale even in particular environmental conditions. From the other hand full-field contactless techniques (e.g. digital image correlation, thermal stress analysis, speckle interferometry) are effective tools to correctly model complex mechanical behavior and to define the consequent parameters. Among these techniques, Electronic Speckle-Pattern Interferometry (ESPI) has been asserted as very effective due to the technological improvements of the laser sources. One of the significant advantages of ESPI is to produce real-time fringe patterns on objects with optically rough surfaces, with a displacement sensitivity of the order of the light wavelength. Aim of the paper is to apply ESPI handled by phase-stepping technique to the experimental study of GFRP materials in the case of mat-roving-mat sequence

Evolutionary Modeling to Evaluate the Shear Behavior of Circular Reinforced Concrete Columns

Despite their frequent occurrence in practice, only limited studies on the shear behavior of reinforced concrete (RC) circular members are available in the literature. Such studies are based on poor assumptions about the physical model, often resulting in being too conservative, as well as technical codes that essentially propose empirical conversion rules. On this topic in this paper, an evolutionary approach named EPR is used to create a structured polynomial model for predicting the shear strength of circular sections. The adopted technique is an evolutionary data mining methodology that generates a transparent and structured representation of the behavior of a system directly from experimental data. In this study experimental data of 61 RC circular columns, as reported in the technical literature, are used to develop the EPR models. As final result, physically consistent shear strength models for circular columns are obtained, to be used in different design situations. The proposed formulations are compared with models available from building codes and literature expressions, showing that EPR technique is capable of capturing and predicting the shear behavior of RC circular elements with very high accuracy. A parametric study is also carried out to evaluate the physical consistency of the proposed models

Epsin 1 Undergoes Nucleocytosolic Shuttling and Its Eps15 Interactor Nh2-Terminal Homology (Enth) Domain, Structurally Similar to Armadillo and Heat Repeats, Interacts with the Transcription Factor Promyelocytic Leukemia Zn2+ Finger Protein (Plzf)

Epsin (Eps15 interactor) is a cytosolic protein involved in clathrin-mediated endocytosis via its direct interactions with clathrin, the clathrin adaptor AP-2, and Eps15. The NH2-terminal portion of epsin contains a phylogenetically conserved module of unknown function, known as the ENTH domain (epsin NH2-terminal homology domain). We have now solved the crystal structure of rat epsin 1 ENTH domain to 1.8 Å resolution. This domain is structurally similar to armadillo and Heat repeats of β-catenin and karyopherin-β, respectively. We have also identified and characterized the interaction of epsin 1, via the ENTH domain, with the transcription factor promyelocytic leukemia Zn2+ finger protein (PLZF). Leptomycin B, an antifungal antibiotic, which inhibits the Crm1- dependent nuclear export pathway, induces an accumulation of epsin 1 in the nucleus. These findings suggest that epsin 1 may function in a signaling pathway connecting the endocytic machinery to the regulation of nuclear function

Sensor-Based Rehabilitation in Neurological Diseases: A Bibliometric Analysis of Research Trends

Background: As the field of sensor-based rehabilitation continues to expand, it is important to gain a comprehensive understanding of its current research landscape. This study aimed to conduct a bibliometric analysis to identify the most influential authors, institutions, journals, and research areas in this field. Methods: A search of the Web of Science Core Collection was performed using keywords related to sensor-based rehabilitation in neurological diseases. The search results were analyzed with CiteSpace software using bibliometric techniques, including co-authorship analysis, citation analysis, and keyword co-occurrence analysis. Results: Between 2002 and 2022, 1103 papers were published on the topic, with slow growth from 2002 to 2017, followed by a rapid increase from 2018 to 2022. The United States was the most active country, while the Swiss Federal Institute of Technology had the highest number of publications among institutions. Sensors published the most papers. The top keywords included rehabilitation, stroke, and recovery. The clusters of keywords comprised machine learning, specific neurological conditions, and sensor-based rehabilitation technologies. Conclusions: This study provides a comprehensive overview of the current state of sensor-based rehabilitation research in neurological diseases, highlighting the most influential authors, journals, and research themes. The findings can help researchers and practitioners to identify emerging trends and opportunities for collaboration and can inform the development of future research directions in this field