Exterior-point Optimization for Nonconvex Learning

In this paper we present the nonconvex exterior-point optimization solver (NExOS) -- a novel first-order algorithm tailored to constrained nonconvex learning problems. We consider the problem of minimizing a convex function over nonconvex constraints, where the projection onto the constraint set is single-valued around local minima. A wide range of nonconvex learning problems have this structure including (but not limited to) sparse and low-rank optimization problems. By exploiting the underlying geometry of the constraint set, NExOS finds a locally optimal point by solving a sequence of penalized problems with strictly decreasing penalty parameters. NExOS solves each penalized problem by applying a first-order algorithm, which converges linearly to a local minimum of the corresponding penalized formulation under regularity conditions. Furthermore, the local minima of the penalized problems converge to a local minimum of the original problem as the penalty parameter goes to zero. We implement NExOS in the open-source Julia package NExOS.jl, which has been extensively tested on many instances from a wide variety of learning problems. We demonstrate that our algorithm, in spite of being general purpose, outperforms specialized methods on several examples of well-known nonconvex learning problems involving sparse and low-rank optimization. For sparse regression problems, NExOS finds locally optimal solutions which dominate glmnet in terms of support recovery, yet its training loss is smaller by an order of magnitude. For low-rank optimization with real-world data, NExOS recovers solutions with 3 fold training loss reduction, but with a proportion of explained variance that is 2 times better compared to the nuclear norm heuristic.Comment: 40 pages, 6 figure

Integration of onshore and offshore seismic arrays to study the seismicity of the Calabrian Region: a two steps automatic procedure for the identification of the best stations geometry

We plan to deploy in the Taranto Gulf some Ocean Bottom broadband Seismometer with Hydrophones. Our aim is to investigate the offshore seismicity of the Sibari Gulf. The seismographic network optimization consists in the identification of the optimal sites for the installation of the offshore stations, which is a crucial factor for the success of the monitoring campaign. In this paper, we propose a two steps automatic procedure for the identification of the best stations geometry. In the first step, based on the application of a set of a priori criteria, the suitable sites to host the ocean bottom seismic stations are identified. In the second step, the network improvement is evaluated for all the possible stations geometries by means of numerical simulation. The application of this procedure allows us to identify the best stations geometry to be achieved in the monitoring campaign

Facial emotion recognition in children and adolescents with specific learning disorder

(1) Background: Some recent studies suggest that children and adolescents with different neurodevelopmental disorders perform worse in emotions recognition through facial expressions (ER) compared with typically developing peers. This impairment is also described in children with Specific Learning Disorders (SLD), compromising their scholastic achievement, social functioning, and quality of life. The purpose of our study is to evaluate ER skills in children and adolescents with SLD compared to a control group without learning disorders, and correlate them with intelligence and executive functions. (2) Materials and Methods: Our work is a cross-sectional observational study. Sixty-three children and adolescents aged between 8 and 16 years, diagnosed with SLD, and 32 sex/age-matched controls without learning disorders were recruited. All participants were administered standardized neuropsychological tests, evaluating facial emotion recognition (NEPSY-II), executive functions (EpiTrack Junior), and intelligence profile (WISC-IV). (3) Results: Emotion recognition mean score was significantly lower in the SLD group than in the controls group on the Mann–Whitney U test for unpaired samples (p < 0.001). The SLD group performed significantly lower than the control group in their abilities to identify neutral expressions, happiness, sadness, anger, and fear compared to controls (p < 0.001). ER scores were positively correlated to the executive functions scores. There was no correlation with the Total Intelligence Quotient scores but there is a significant positive correlation with Working Memory Index and Processing Speed Index measured by WISC.IV. (4) Conclusions: Our study showed that children and adolescents with Specific Learning Disorders have facial emotion recognition impairment when compared with a group of peers without learning disorders. ER abilities were independent of their global intelligence but potentially related to executive functions

Health-related quality of life and mental health problems after a disaster: Are chronically ill survivors more vulnerable to health problems?

Studies have shown that the chronically ill are at higher risk for reduced health-related quality of life (HRQL) and for mental health problems. A combination with traumatic events might increase this risk. This longitudinal study among 1216 survivors of a disaster examines whether chronically ill survivors had a different course of HRQL and mental health problems compared to survivors without chronic diseases. HRQL and mental health problems were measured 3 weeks, 18 months and 4 years post-disaster. Data on pre-disaster chronic diseases was obtained from the electronic medical records of general practitioners. Random coefficient analyses showed significant interaction effects for social functioning, bodily pain and emotional role limitations at T2 only. Chronically ill survivors did not consistently have a different course of general health, physical role limitations, and mental health problems. In conclusion, chronic diseases were not an important risk factor for impaired HRQL and mental health problems among survivors

Zn-induced interactions between SARS-CoV-2 orf7a and BST2/Tetherin

We present in this work a first X-ray Absorption Spectroscopy study of the interactions of Zn with human BST2/tetherin and SARS-CoV-2 orf7a proteins as well as with some of their complexes. The analysis of the XANES region of the measured spectra shows that Zn binds to BST2, as well as to orf7a, thus resulting in the formation of BST2-orf7a complexes. This structural information confirms the the conjecture, recently put forward by some of the present Authors, according to which the accessory orf7a (and possibly also orf8) viral protein are capable of interfering with the BST2 antiviral activity. Our explanation for this behavior is that, when BST2 gets in contact with Zn bound to the orf7a Cys(15) ligand, it has the ability of displacing the metal owing to the creation of a new disulfide bridge across the two proteins. The formation of this BST2-orf7a complex destabilizes BST2 dimerization, thus impairing the antiviral activity of the latter

Design and simulation of a solar assisted desiccant-based air handling unit

Paper presented at the 8th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics, Mauritius, 11-13 July, 2011.Desiccant-based Air Handling Units (AHU) can guarantee significant technical and energy/environmental advantages related to the use of traditional ones (with dehumidification by cooling). For these reasons, a test facility has been located in Benevento (Southern Italy), in which a silica-gel desiccant wheel is inserted in an AHU which treats outside air only. For this wheel, the regeneration temperature can be as low as 65 °C, therefore energy savings and emissions reductions are more consistent when the regeneration of the desiccant material is obtained by means of available low grade thermal energy, such as that from solar collectors or cogenerators. In the actual configuration, regeneration is obtained by means of thermal energy recovered from a micro-cogenerator (MCHP, Micro Combined Heat and Power) based on a natural gas-fired reciprocating internal combustion engine, eventually integrated through a natural gas-fired boiler. Future activity aims to reduce the regeneration fossil energy requirements by introducing a solar collector system that substitutes or integrates thermal energy supplied by the MHCP. To this aim, a commercial software has been used to design the solar collector system (collectors type, absorber area, water flow rate…) considering the thermal power and temperature requirements of the regeneration process. The existing AHU and the designed solar collector system have been successively simulated by means of TRNSYS software, in order to evaluate operational data and performance parameters of the system in a typical week of operation, e.g. thermal-hygrometric conditions of air in the mean sections of the AHU, solar collectors efficiency and solar fraction.mp201

A thermodynamic signature of lipid segregation in biomembranes induced by a short peptide derived from glycoprotein gp36 of feline immunodeficiency virus.

The interactions between proteins/peptides and lipid bilayers are fundamental in a variety of key biological processes, and among these, the membrane fusion process operated by viral glycoproteins is one of the most important, being a fundamental step of the infectious event. In the case of the feline immunodeficiency virus (FIV), a small region of the membrane proximal external region (MPER) of the glycoprotein gp36 has been demonstrated to be necessary for the infection to occur, being able to destabilize the membranes to be fused. In this study, we report a physicochemical characterization of the interaction process between an eight-residue peptide, named C8, modeled on that gp36 region and some biological membrane models (liposomes) by using calorimetric and spectroscopic measurements. CD studies have shown that the peptide conformation changes upon binding to the liposomes. Interestingly, the peptide folds from a disordered structure (in the absence of liposomes) to a more ordered structure with a low but significant helix content. Isothermal titration calorimetry (ITC) and differential scanning calorimetry (DSC) results show that C8 binds with high affinity the lipid bilayers and induces a significant perturbation/reorganization of the lipid membrane structure. The type and the extent of such membrane reorganization depend on the membrane composition. These findings provide interesting insights into the role of this short peptide fragment in the mechanism of virus-cell fusion, demonstrating its ability to induce lipid segregation in biomembranes

The role of Zn ions in the interaction between SARS-CoV-2 orf7a protein and BST2/tetherin

In this paper, we provide evidence that Zn2+ ions play a role in the SARS-CoV-2 virus strategy to escape the immune response mediated by the BST2-tetherin host protein. This conclusion is based on sequence analysis and molecular dynamics simulations as well as X-ray absorption experiments

The role of Zn ions in the interaction between SARS-CoV-2 orf7a protein and BST2/tetherin

In this paper, we provide evidence that Zn2+ ions play a role in the SARS-CoV-2 virus strategy to escape the immune response mediated by the BST2-tetherin host protein. This conclusion is based on sequence analysis and molecular dynamics simulations as well as X-ray absorption experiments [1]

Metal ion binding in wild-type and mutated frataxin: a stability study

This work studies the stability of wild-type frataxin and some of its variants found in cancer tissues upon Co2+ binding. Although the physiologically involved metal ion in the frataxin enzymatic activity is Fe2+, as it is customarily done, Co2+ is most often used in experiments because Fe2+ is extremely unstable owing to the fast oxidation reaction Fe2+ → Fe3+. Protein stability is monitored following the conformational changes induced by Co2+ binding as measured by circular dichroism, fluorescence spectroscopy, and melting temperature measurements. The stability ranking among the wild-type frataxin and its variants obtained in this way is confirmed by a detailed comparative analysis of the XAS spectra of the metal-protein complex at the Co K-edge. In particular, a fit to the EXAFS region of the spectrum allows positively identifying the frataxin acidic ridge as the most likely location of the metal-binding sites. Furthermore, we can explain the surprising feature emerging from a detailed analysis of the XANES region of the spectrum, showing that the longer 81-210 frataxin fragment has a smaller propensity for Co2+ binding than the shorter 90-210 one. This fact is explained by the peculiar role of the N-terminal disordered tail in modulating the protein ability to interact with the metal