Robustness Analysis of Texture Features with Different Beamforming Techniques

Texture features are often used on ultrasound images in various applications to give forth important clinical information. Recently, many beamforming techniques have been developed to provide better resolution and contrast in the final image. It is currently unknown, however, how these different techniques may also alter pixel intensity spatial distribution, known as texture. We provide here a robustness analysis of first and second order texture features using six beamforming techniques, on both phantom and in vivo musculoskeletal images. We show that second order texture features are more robust compared to first order features, especially when considering in vivo musculoskeletal images

An FPGA-based Embedded System For Fingerprint Matching Using Phase Only Correlation Algorithm

none5There is an increasing interest in inexpensive and reliable personal identification in many emerging civilian, commercial and financial applications. Traditional systems such as passwords, PINs, Badges, Smart Cards and Tokens may either be stolen or easy to guess but also to forget, in same cases they may be lost by the user who carries them; all this can lead to identified. Fingerprint-based identification is one of the most used biometric techniques in automated systems for personal identification and it is becoming socially acceptable and cost-effective, since a fingerprint is univocally related to a particular individual. Typical fingerprint identification methods employ feature-based image matching, where minutiae points in the ridge lines (i.e., ridge endings and bifurcations) are identified. Unfortunately this approach is highly influenced by fingertip surface condition. Fingerprint recognition is a complex pattern recognition problem. The efforts to make automatic the matching process based on digital representation of fingerprints, led to the development of Automatic Fingerprint Identification Systems (AFIS). Typically, there are millions of fingerprint records in a database which needs to be entirely searched for a match, to establish the identity of the individual. In order to provide a reasonable response time for each query, it will be better to develop special hardware solutions to implement matching and/or classification algorithms in a really efficient way. In this work we realised a system able to outperform modern PCs in recognising and classifying fingerprints and based on FPGA technology.Il lavoro si è classificato al II posto nell'Altera Contest 2009 Innovate Italy, gara annuale indetta da Altera tra progetti di team di giovani studenti universitari su tutto il territorio nazionale.Giovanni Danese; Mauro Giachero; Francesco Leporati; Giulia Matrone; Nelson NazzicariDanese, Giovanni; Giachero, Mauro; Leporati, Francesco; Matrone, Giulia; Nelson, Nazzicar

The Development of a 2D/3D BIM-GIS Web Platform for Planned Maintenance of Built and Cultural Heritage: the Main10ance Project

The integration of Building Information Modeling (BIM), or Historic BIM (HBIM), and Geographic Information Systems (GIS) has assumed a crucial role not only in the management of smart cities or urban districts, as well as in the construction sector or infrastructures but also in the management, conservation and safeguarding of cultural heritage. This integration opens up new opportunities for decision-makers to assess the impact of interventions on heritage sites, evaluate preservation strategies, and facilitate informed decision-making processes. This contribution presents and describes the open-source web platform developed within the Interreg MAIN10ANCE project. The project aims to promote a common methodology for the cooperation and collaboration of the various stakeholders involved in the restoration, management and maintenance activities of built and cultural heritage sites. This objective has been pursued by creating a BIM-GIS database, focused on the definition of planned maintenance activities, whose data has been made available to professionals and management bodies by means of a shared web platform, usable directly in situ on a tablet or portable devices. The paper highlights the key components of the web platform, including the BIM, GIS, and artifact Viewers, the Planner, and the overall Dashboard. The platform's multiscale and multi-source approach makes it extensible to various cultural assets, whether environmental, architectural, or movable. By integrating historical and geometric information and planning maintenance activities, the web platform thus supports public administrations and professionals, amending existing state-of-the-art solutions

Electric Vehicles Charging Sessions Classification Technique for Optimized Battery Charge Based on Machine Learning

The fast increase in electric vehicle (EV) usage in the last 10 years has raised the need to properly forecast their energy consumption during charge. Lithium-ion batteries have become the major storage component for electric vehicles, avoiding their overcharge can preserve their health and prolong their lifetime. This paper proposes a Machine Learning model based on the K-Nearest Neighbors classification algorithm for EV charging session duration forecast. The model forecasts the duration of the charge by assigning the event to its correct class. Each class contains the charging events whose duration is comprised of a certain interval. The only information used by the algorithm is the one available at the beginning of the charging event (arrival time, starting SOC, calendar data). The model is validated on a real-world dataset containing records of charging sessions from more than 100 users, a sensitivity analysis is performed to assess the impact of different information given as input. The effectiveness of the model with respect to the benchmark models is demonstrated with an increase in performance

Putting cells in motion: Advantages of endogenous boosting of BDNF production

Motor exercise, such as sport or musical activities, helps with a plethora of diseases by modulating brain functions in neocortical and subcortical regions, resulting in behavioural changes related to mood regulation, well-being, memory, and even cognitive preservation in aging and neurodegenerative diseases. Although evidence is accumulating on the systemic neural mechanisms mediating these brain effects, the specific mechanisms by which exercise acts upon the cellular level are still under investigation. This is particularly the case for music training, a much less studied instance of motor exercise than sport. With regards to sport, consistent neurobiological research has focused on the brain-derived neurotrophic factor (BDNF), an essential player in the central nervous system. BDNF stimulates the growth and differentiation of neurons and synapses. It thrives in the hippocampus, the cortex, and the basal forebrain, which are the areas vital for memory, learning, and higher cognitive functions. Animal models and neurocognitive experiments on human athletes converge in demonstrating that physical exercise reliably boosts BDNF levels. In this review, we highlight comparable early findings obtained with animal models and elderly humans exposed to musical stimulation, showing how perceptual exposure to music might affect BDNF release, similar to what has been observed for sport. We subsequently propose a novel hypothesis that relates the neuroplastic changes in the human brains after musical training to genetically-and exercise-driven BDNF levels

A comprehensive evaluation of adverse childhood experiences, social-emotional impairments, and neurodevelopmental disorders in cannabis-use disorder: Implications for clinical practice

Background. Adverse childhood experiences (ACEs), social–emotional impairments (SEIs), and neurodevelopmental disorders (NDs) are frequent in psychiatric disorders, including substance-use disorders. We aimed to determine the prevalence of ACE, SEI, or ND in individuals with cannabis-use disorder (CUD). We compared individuals with preCUD-onset ACE, SEI, or ND to those without. Methods. We crosssectionally studied 323 inpatients or outpatients with a history of past or current CUD, aged 12–35 years (mean age 22.94 ± 4.79), 64.5% of whom were male. The sample was divided into two groups: the non-premorbid (N = 52) and the premorbid ACE/SEI/ND group (N = 271). Within the premorbid group, further subgroups were based on ACEs, SEI, and NDs. We also analyzed other substance use and psychiatric symptoms/diagnoses based on the non-premorbid-premorbid dichotomy in the CUD sample. Results. Pre-CUD ACE-SEI-ND had higher prevalence of bipolar, schizoaffective, borderline personality, and attention-deficit/hyperactivity disorders, and a history of agitation, hallucinations, and self-injury. The ACE group had higher rates of agitation, depression, delusions, hallucinations, eating disorders, and use of cocaine, amphetamines, and hallucinogens than the SEI or ND. Patients in the premorbid group initiated cannabis use at an earlier age, experienced the first comorbid psychiatric episode earlier, and were hospitalized earlier than those in the non- premorbid ACE-SEI-ND group. Conclusions. PreCUD-onset ACE, SEI, or ND conditions in individuals with CUDare linked to earlier onset of comorbid mental illness. Furthermore, ACEs contribute to significant and potentially severe clinical symptoms, as well as the use of substances other than cannabis

LASER-VISUAL-INERTIAL ODOMETRY BASED SOLUTION for 3D HERITAGE MODELING: The SANCTUARY of the BLESSED VIRGIN of TROMPONE

The advent of new mobile mapping systems that integrate different sensors has made it easier to acquire multiple 3D information with high speed. Today, technological development has allowed the creation of portable systems particularly suitable for indoor surveys, which mainly integrating LiDAR devices, chambers and inertial platforms, make it possible to create in a fast and easy way, full 3D model of the environment. However, the performance of these instruments differs depending on the acquisition context (indoor and outdoor), the characteristics of the scene (for example lighting, the presence of objects and people, reflecting surfaces, textures) and, above all, the mapping and localization algorithms implemented in devices. The purpose of this study is to analyse the results, and their accuracy, deriving from a survey conducted with the KAARTA Stencil 2 handheld system. This instrument, composed of a 3D LiDAR Velodyne VLP-16, a MEMS inertial platform and a feature tracker camera, it is able to realize the temporal 3D map of the environment. Specifically, the acquisition tests were carried out in a context of metrical documentation of an architectural heritage, in order extract architectural detail for the future reconstruction of virtual and augmented reality environments and for Historical Building Information Modeling purposes. The achieved results were analysed and the discrepancies from some reference LiDAR data are computed for a final evaluation. The system was tested in the church and cloister of the Sanctuary of the Beata Vergine del Trompone in Moncrivello (VC) (Italy)

Differential response to three antidepressants in patients with major depressive episode who suffered covid-19-related trauma

Abstract: Background: The Covid 19 pandemic might have impacted response to drug treatment in major depressive episode (MDE). We compared responses to three different antidepressant drugs, i.e., vortioxetine, sertraline, and trazodone, in outpatients with MDE during Major Depressive Dis- order (MDD), Bipolar Disorder (BD), or schizophrenia and related psychoses (SSOPDs) during two time periods, i.e., before and after suffering Covid-19-related trauma. Methods: We conducted an observational study on clinically stabilised for at least 6 months outpatients with MDE during the course of MDD (N=58), BD (N=33), or SSOPDs (N=51). Patients, whose base- line assessments of Montgomery-Åsberg Rating Scale (MADRS), Hamilton Anxiety Rating Scale (Ham-A), Brief Psychiatric Rating Scale (BPRS), Visual Analogue Scale for Craving (VAS-crav) and World Health Organization Quality of Life, Brief version (WHOQOL-BREF) were available, were re- cruited at the time they suffered Covid-19-related traumas. Fifty patients, prior to the pandemic, when they were clinically stable, were treated with 15 mg/die vortioxetine, 44 with 450 mg/die trazodone, and 48 with 150 mg/die sertraline. After experiencing a major Covid-19-related personal trauma, pa- tients showed clinical worsening which required dosage adjustment (20 mg/day vortioxetine; 600 mg/day trazodone, and 200 mg/day sertraline) and, for some of them, hospitalisation. Scores on the MADRS, Ham-A, BPRS, VAS-crav and WHOQOL-BREF were compared drug-wise and gender- wise with Student’s t test for continuous variables and χ2 for categorical variables. Results: The sample consisted of 142 outpatients (age, mean 39.63 ± 16.84; 70 men and 72 wom- en); women were older than men (mean age 43.18 ± 17.61 vs. 35.98 ± 15.30; p=0.01). The two gen- ders did not differ on other variables. For all treatments, worsening symptoms were observed at the time of trauma, followed by slow recovery with treatment readjustment. Trauma-related worsening in patients on vortioxetine was less intense than patients on the other two antidepressants and recovery was faster. All drugs were associated with an improvement in QoL. The vortioxetine group showed a lower hospitalisation rate (24%) than sertraline (35.4%) and trazodone (38.6%), but this was not significant (p=0.27). Conclusion: All drugs improved symptoms of Covid-19 trauma in patients with MDE, with vorti- oxetine showing a small advantage. No differences between vortioxetine, sertraline and trazodone were found as concerning the need for hospitalisation

Targeted therapy against chemoresistant colorectal cancers: Inhibition of p38α modulates the effect of cisplatin in vitro and in vivo through the tumor suppressor FoxO3A

Chemoresistance is a major obstacle to effective therapy against colorectal cancer (CRC) and may lead to deadly consequences. The metabolism of CRC cells depends highly on the p38 MAPK pathway, whose involvement in maintaining a chemoresistant behavior is currently being investigated. Our previous studies revealed that p38a is the main p38 isoform in CRC cells. Here we show that p38a pharmacolog- ical inhibition combined with cisplatin administration decreases colony formation and viability of cancer cells and strongly increases Bax-dependent apoptotic cell death by activating the tumor suppressor pro- tein FoxO3A. Our results indicate that FoxO3A activation up-regulates transcription of its target genes (p21, PTEN, Bim and GADD45), which forces both chemosensitive and chemoresistant CRC cells to undergo apoptosis. Additionally, we found that FoxO3A is required for apoptotic cell death induction, as confirmed by RNA interference experiments. In animal models xenografted with chemoresistant HT29 cells, we further confirmed that the p38-targeted dual therapy strategy produced an increase in apoptosis in cancer tissue leading to tumor regression. Our study uncovers a major role for the p38- FoxO3A axis in chemoresistance, thereby suggesting a new therapeutic approach for CRC treatment; moreover, our results indicate that Bax status may be used as a predictive biomarker

Does the term 'trophic' actually mean anti-amyloidogenic? The case of NGF.

The term trophic is widely used to indicate a general pro-survival action exerted on target cells by different classes of extracellular messengers, including neurotrophins (NTs), a family of low-molecular-weight proteins whose archetypal member is the nerve growth factor (NGF). The pro-survival action exerted by NTs results from a coordinated activation of multiple metabolic pathways, some of which have only recently come to light. NGF has been shown to exert a number of different, experimentally distinguishable effects on neurons, such as survival, differentiation of target neurons, growth of nerve fibers and their guidance (tropism) toward the source of its production. We have proposed a more complete definition of the NGF trophic action that should also include its newly discovered property of inhibiting the amyloidogenic processing of amyloid precursor protein (APP), which is among the first hypothesized primary trigger of Alzheimer's disease (AD) pathogenesis. This inhibitory action appears to be mediated by a complex series of molecular events and by interactions among NGF receptors (TrkA and p75), APP processing and tau metabolic fate and fun