Alessandro Giuliani
Alessandro Giuliani took his Laurea in Biological Sciences at Universita' di Roma "La Sapienza" score 110/110 cum laude (Anno Accademico 81/82).He served as Junior Scientist at Sigma-Tau Biological Laboratories as data analyst for both clinical and biological experimentation (1985-1988), then became Responsible of Mathematical Modeling Unit at Istituto Ricerca sulla Senescenza Sigma-Tau, (1988-1997). He served as Senior Scientist at Environment and Health Dept. Istituto Superiore di Sanita’ , (1997- ) and now is Research Director in the same Institute.
He was Visiting Scientist at University of California Los Angeles (UCLA), Brain Research Institute, 1990, at Pomona College Los Angeles, Department of Organic Chemistry, 1991, , Rush University of Chicago, Dept. of Molecular Biophysics and Physiology, (2003), Bioinformatics Institute , Singapore (2003 and 2004), Keio University (Tsuruoka, Japan) 2005 and 2013, Kerala Bioinformatics Institute (2010), Caltech Pasadena (LA, USA) (2011) .Professor on contract basis of Biophysics at Universita' degli Studi di Roma "La Sapienza", Medical school prof. Alfredo Colosimo (Head of Dept.) . Academic Years: 1994/1995, 1995/1996, 1996/1997. Professor on Contract Basis: Philosophy of Science, Pontificia Università Urbaniana, Roma: 2014-2016,Faculty member: Doctorate in Biophysics University ‘La Sapienza’, Roma, Italy.Dr. Alessandro Giuliani is involved in the generation and testing of soft physical and statistical models for life sciences. He puts a a special emphasis on the elucidation of mesoscopic complex systems like protein sequence/structure prediction, complex network approaches, QSAR, Systems Biology and, together with prof. Webber and prof. Zbilut developed Recurrence Quantification Analysis (RQA) an innovative non-linear data analysis tool.
Phone: +390649902579
Address: Istituto Superiore di Sanità Viale Regina Elena 299
00161, Roma, Italia
He was Visiting Scientist at University of California Los Angeles (UCLA), Brain Research Institute, 1990, at Pomona College Los Angeles, Department of Organic Chemistry, 1991, , Rush University of Chicago, Dept. of Molecular Biophysics and Physiology, (2003), Bioinformatics Institute , Singapore (2003 and 2004), Keio University (Tsuruoka, Japan) 2005 and 2013, Kerala Bioinformatics Institute (2010), Caltech Pasadena (LA, USA) (2011) .Professor on contract basis of Biophysics at Universita' degli Studi di Roma "La Sapienza", Medical school prof. Alfredo Colosimo (Head of Dept.) . Academic Years: 1994/1995, 1995/1996, 1996/1997. Professor on Contract Basis: Philosophy of Science, Pontificia Università Urbaniana, Roma: 2014-2016,Faculty member: Doctorate in Biophysics University ‘La Sapienza’, Roma, Italy.Dr. Alessandro Giuliani is involved in the generation and testing of soft physical and statistical models for life sciences. He puts a a special emphasis on the elucidation of mesoscopic complex systems like protein sequence/structure prediction, complex network approaches, QSAR, Systems Biology and, together with prof. Webber and prof. Zbilut developed Recurrence Quantification Analysis (RQA) an innovative non-linear data analysis tool.
Phone: +390649902579
Address: Istituto Superiore di Sanità Viale Regina Elena 299
00161, Roma, Italia
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environment and become dependent on fluxes coming from global, delocalized sources in a way that is similar to
an organism kept alive by external devices. Here, we propose the regeneration of a vital interface between cities and
their rural and natural surroundings as the main path to a future urban civilization.
squashing potentially interesting (shape) components into the noise floor. These minor components should be erroneously discarded as noisy by the usual selection methods. Here, we propose a computational method, tailored for the chemical concept of ‘titration’, allowing for the unsupervised recognition of the potential signal character of minor components by the analysis of the presence of a negative linear relation between added noise and component invariance.
and lack of linearity of the hematopoietic process pushed us to adopt a distance–geometry approach to compare different trajectories, while a complex network analysis was instrumental in revealing the fine structure of microRNA–cytokine relations. Importantly, the approach enabled
us to identify a limited number of factors (represented either by microRNAs or cytokines) corresponding to crucial nodes responsible for connecting distinct interaction modules. Subtle changes
in ‘master nodes’, keeping the connections between different regulatory networks, may therefore be crucial in influencing hematopoietic differentiation. These findings highlight the extremely interconnected
network structures underlying hematopoiesis regulation and identify key factors in the microRNA/cytokine landscape that may be potentially crucial for influencing network stability.
The potential consequences of the widespread adoption of ML in scientific work have fueled a harsh debate between opponents predicting the decay of basic curiosity-driven science and enthusiasts hoping for the advent of a ‘theory-free’ objective science. In this work, I suggest how the system science style of reasoning could drastically de-potentiate this (sometimes deceptive) opposition through the generation of multi-purpose relational theoretical frames stemming from the network
paradigm. The recognition of the virtual non-existence of purely ‘theoryfree’ approaches and the need for a careful balancing of theoretical and empirical contributions is the main claim of the present work.
dimensions of maternal style in captive Macaca tonkeana, a species characterized by a particularly relaxed type of offspring rearing. We therefore investigated how mothering style influences offspring behavior at different developmental stages by observing the interactions of 30 offspring during the first 5 months of infant life and for 10 days when infants were 12 months old. We used principal component analysis
to first extract the components from the variables describing the main interactions of mothers with infants and then the components from the variables describing the main interactions between offspring and their partners. We used linear and generalized mixed models to test the effects of maternal factors on offspring behavior. Our results showed that maternal style in Macaca tonkeana was described by two
independent behavioral dimensions, which we labeled protectiveness and warmth.
Maternal rejection was almost nonexistent in our captive groups. We did not find any relationship between maternal style components and infant behavior during the first 5 months of life. At 1 year of age, offspring reared by higher-warmth mothers showed greater sociability. Our findings are reminiscent of the dynamic properties of human parenting, corroborating the usefulness of comparative studies on parent–infant attachment.
environment and become dependent on fluxes coming from global, delocalized sources in a way that is similar to
an organism kept alive by external devices. Here, we propose the regeneration of a vital interface between cities and
their rural and natural surroundings as the main path to a future urban civilization.
squashing potentially interesting (shape) components into the noise floor. These minor components should be erroneously discarded as noisy by the usual selection methods. Here, we propose a computational method, tailored for the chemical concept of ‘titration’, allowing for the unsupervised recognition of the potential signal character of minor components by the analysis of the presence of a negative linear relation between added noise and component invariance.
and lack of linearity of the hematopoietic process pushed us to adopt a distance–geometry approach to compare different trajectories, while a complex network analysis was instrumental in revealing the fine structure of microRNA–cytokine relations. Importantly, the approach enabled
us to identify a limited number of factors (represented either by microRNAs or cytokines) corresponding to crucial nodes responsible for connecting distinct interaction modules. Subtle changes
in ‘master nodes’, keeping the connections between different regulatory networks, may therefore be crucial in influencing hematopoietic differentiation. These findings highlight the extremely interconnected
network structures underlying hematopoiesis regulation and identify key factors in the microRNA/cytokine landscape that may be potentially crucial for influencing network stability.
The potential consequences of the widespread adoption of ML in scientific work have fueled a harsh debate between opponents predicting the decay of basic curiosity-driven science and enthusiasts hoping for the advent of a ‘theory-free’ objective science. In this work, I suggest how the system science style of reasoning could drastically de-potentiate this (sometimes deceptive) opposition through the generation of multi-purpose relational theoretical frames stemming from the network
paradigm. The recognition of the virtual non-existence of purely ‘theoryfree’ approaches and the need for a careful balancing of theoretical and empirical contributions is the main claim of the present work.
dimensions of maternal style in captive Macaca tonkeana, a species characterized by a particularly relaxed type of offspring rearing. We therefore investigated how mothering style influences offspring behavior at different developmental stages by observing the interactions of 30 offspring during the first 5 months of infant life and for 10 days when infants were 12 months old. We used principal component analysis
to first extract the components from the variables describing the main interactions of mothers with infants and then the components from the variables describing the main interactions between offspring and their partners. We used linear and generalized mixed models to test the effects of maternal factors on offspring behavior. Our results showed that maternal style in Macaca tonkeana was described by two
independent behavioral dimensions, which we labeled protectiveness and warmth.
Maternal rejection was almost nonexistent in our captive groups. We did not find any relationship between maternal style components and infant behavior during the first 5 months of life. At 1 year of age, offspring reared by higher-warmth mothers showed greater sociability. Our findings are reminiscent of the dynamic properties of human parenting, corroborating the usefulness of comparative studies on parent–infant attachment.
as a necessary integration of the general reductionist and analytical attitude dominant in our
culture. Reductionism and analytical approaches have produced significant results in many
fields of contemporary knowledge giving a great contribution to relevant scientific discoveries
and to their technological application, but their validity has been improperly universalized as
the only and best methods of knowledge in every domain. It is nowadays clear that analytical
or mereological approaches are inadequate to solve many problems and that we should
introduce – or support the diffusion of - new concepts and different research attitudes. A good
candidate to support such a shift is the well known theoretical approach based on the concept
of “system” that no more considers the elementary constituents of an object, but the entity
emerging from the relations and interactions among its elementary parts. It becomes possible
to reconstruct several domains, both philosophical and scientific, from the systemic point of
view, introducing fresh ideas in the research in view of a general rational vision of the world on
more comprehensive basis.
The emphasis shifted from the eighteenth‐century “organism as a clockwork” metaphor to the nineteenth‐century organism as a “thermal machine,” ending up with the organism as a “computer” of the twentieth and twenty‐first centuries (with a more marked emphasis on network systems in these days with respect to the logical flux of information of the second half of the previous century).
Notwithstanding that, both the fiction and technological ideas edounded
about the idea of the existence of a “basic mechanism of life” that, albeit
complex, could, be replicated in a laboratory (at least in principle).
Thus, it is not without interest to have a closer look at the concept of synthesis.
Not all the projects of artificial life are properly “synthetic.” We do not use
the word synthesis (characterized by the Greek prefix “syn” pointing to the emergence of new features by the organic fusion of different elements) for cars or computer programs. On the other hand, we currently speak of organic synthesis, referring to the production of new organic molecules not present in nature and “synthesizer” is the name given machines devoted to the fusion of different sounds in electronic musical composition.