Structure, Dynamics and Reactivity in the Organic Solid State: Anthracene Derivatives and Charge Transfer Crystals

The work presented in this thesis tackles some important points concerning the collective properties of two typical categories of molecular crystals, i.e., anthracene derivatives and charge transfer crystals. Anthracene derivatives have constituted the class of materials from which systematical investigations of crystal-to-crystal photodimerization reactions started, developed and have been the subject of a new awakening in the recent years. In this work some of these compounds, namely, 9-cyanoanthacene, 9-anthacenecarboxylic acid and 9-methylanthracene, have been selected as model systems for a phenomenological approach to some key properties of the solid state, investigated by spectroscopic methods. The present results show that, on the basis of the solid state organization and the chemical nature of each compound, photo-reaction dynamics and kinetics display distinctive behaviors, which allows for a classification of the various processes in topochemical, non topochemical, reversible or topophysical. The second part of the thesis was focused on charge transfer crystals, binary systems formed by stoichiometric combinations of the charge donating perylene (D) and the charge accepting tetracyano-quinodimethane (A), this latter also in its fluorinated derivatives. The work was focused on the growth of single crystals, some of which not yet reported in the literature, by PVT technique. Structural and spectroscopic characterizations have been performed, with the aim of determining the degree of charge transfer between donor and acceptor in the co-crystals. An interesting outcome of the systematic search performed in this work is the definition of the experimental conditions which drive the crystal growth of the binary systems either towards the low (1:1) or the high ratio (3:1 or 3:2) stoichiometries.

Outcomes feto-neonatali dell'infezione non primaria da Cytomegalovirus

OBIETTIVI: Valutazione del rischio di trasmissione verticale e delle conseguenze dell’infezione congenita da cytomegalovirus (CMV) in caso di infezione non primaria versus l’outcome delle gravidanze complicate da infezione primaria. MATERIALI E METODI: Studio retrospettivo di coorte di gravide con infezione recente da CMV diagnosticata c/o il nostro centro negli anni 2000-2013. Le pazienti sono state suddivise in 2 gruppi in base al risultato delle indagini sierologiche (avidità IgG e immunoblot): il primo con profilo sierologico compatibile con infezione non primaria e l'altro compatibile con infezione primaria da CMV. Sono stati confrontati il rischio di trasmissione e di infezione congenita sintomatica nei due gruppi. RISULTATI: Il follow-up è risultato disponibile in 1122 casi di cui 182 con infezione materna non-primaria e 940 con infezione primaria materna. L’infezione congenita è stata diagnosticata in 7 (3.86%) feti/neonati nei casi di infezione non primaria e in 217 (23%) feti/neonati nei casi di infezione primaria (p<0.001). Tra gli infetti, erano sintomatici 43 (19,8%) e 3 (42,8%) rispettivamente nell’infezione primaria e non primaria. COMMENTO: La preesistente immunità materna offre una protezione contro la trasmissione intrauterina nell’infezione da CMV ma non protegge dalla malattia congenita sintomatica.

Non Invasive Tools for Early Detection of Autism Spectrum Disorders

Autism Spectrum Disorders (ASDs) describe a set of neurodevelopmental disorders. ASD represents a significant public health problem. Currently, ASDs are not diagnosed before the 2nd year of life but an early identification of ASDs would be crucial as interventions are much more effective than specific therapies starting in later childhood. To this aim, cheap an contact-less automatic approaches recently aroused great clinical interest. Among them, the cry and the movements of the newborn, both involving the central nervous system, are proposed as possible indicators of neurological disorders. This PhD work is a first step towards solving this challenging problem. An integrated system is presented enabling the recording of audio (crying) and video (movements) data of the newborn, their automatic analysis with innovative techniques for the extraction of clinically relevant parameters and their classification with data mining techniques. New robust algorithms were developed for the selection of the voiced parts of the cry signal, the estimation of acoustic parameters based on the wavelet transform and the analysis of the infant’s general movements (GMs) through a new body model for segmentation and 2D reconstruction. In addition to a thorough literature review this thesis presents the state of the art on these topics that shows that no studies exist concerning normative ranges for newborn infant cry in the first 6 months of life nor the correlation between cry and movements. Through the new automatic methods a population of control infants (“low-risk”, LR) was compared to a group of “high-risk” (HR) infants, i.e. siblings of children already diagnosed with ASD. A subset of LR infants clinically diagnosed as newborns with Typical Development (TD) and one affected by ASD were compared. The results show that the selected acoustic parameters allow good differentiation between the two groups. This result provides new perspectives both diagnostic and therapeutic.