Digitalization, copyright and innovation in the creative industries: an agent-based model

The ambiguity of the empirical results on the relationship between copyright and creativity calls for a better theoretical understanding of the issue, possibly enlarging the analysis to other factors such as technology and copyright enforcement. This paper addresses these complex policy issues by developing an agent-based model (ABM) to study how the interplay between digitization and copyright enforcement affects the production and access to cultural goods. The model includes creators who compete in different submarkets and invest in activities that might lead to the generation of creative outputs in existing submarkets, new (to the creators) submarkets, or in newly “invented†submarkets. Finally, the model features a copyright system that provides creators with the exclusive right to reproduce their original copies and a pirate market responsible for creating and distributing pirated copies

Otolaryngologic symptoms in multiple sclerosis: a review

Many symptoms of multiple sclerosis may affect the ear, nose and throat. The most common otolaryngologic symptoms of multiple sclerosis are speech disorders, followed by sleep disorders, vertigo and disequilibrium, dysphagia, smell alterations, and hearing loss. Less common symptoms include sialorrhea, facial palsy, taste alterations, trigeminal neuralgia and tinnitus. The origin of otolaryngologic symptoms in multiple sclerosis is mainly central, although increasing evidence also suggests a peripheral involvement. Otolaryngologic symptoms in multiple sclerosis may have different clinical presentations; they can appear in different stages of the pathology, in some cases they can be the presenting symptoms and their worsening may be correlated with reactivation of the disease. Many of these symptoms significantly affect the quality of life or patients and lead to increased morbidity and mortality. Otolaryngologic symptoms are common in multiple sclerosis; however, they are often overlooked. In many cases, they follow the relapsing-remitting phases of the disease, and may spontaneously disappear, leading to a delay in multiple sclerosis diagnosis. Clinicians should be aware of otolaryngologic symptoms of multiple sclerosis, especially when they are associated to neurologic symptoms, as they may be early signs of a still undiagnosed multiple sclerosis or could help monitor disease progression in already diagnosed patients

Sense of Coherence (SOC) of Italian healthcare workers during the Covid-19 pandemic: analysis of associated factors

Introduction: The COVID-19 pandemic has posed significant challenges for healthcare workers worldwide, potentially affecting their sense of coherence (SOC) and overall well-being. This study aimed to identify factors associated with different levels of SOC among healthcare workers. Methods: A cross-sectional study was conducted among 628 healthcare workers. SOC scores were assessed using a standardized questionnaire, and data on demographic characteristics, length of service, geographic location, and pandemic-related experiences were collected. Statistical analyses were performed to identify associations between these factors and SOC. Results: Healthcare workers had a lower average SOC score (mean: 57.1) compared to the national average in Italy (mean: 60.3). Younger age and shorter length of service were associated with a higher risk of low SOC (p<0.0001). Healthcare workers in the northwestern regions of Italy had an increased risk of low SOC compared to their counterparts in the northeastern regions (p=0.0336). Adverse pandemic-related experiences and worsening social relationships were also associated with a higher risk of low SOC (p<0.0001). Conclusions: This study highlights the unique challenges and stressors faced by healthcare workers during the COVID-19 pandemic and their impact on SOC. Age, length of service, geographic location, and social were significant factors influencing SOC levels. Targeted interventions are needed to enhance SOC and well-being, particularly for younger and newly employed healthcare workers. Strategies promoting social connections, work-life balance, and psychological support services are crucial to support healthcare workers' resilience and coping abilities

Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI?

In the last decades, MRI was proven a useful tool for the diagnosis and characterization of Prostate Cancer (PCa). In the literature, many studies focused on characterizing PCa aggressiveness, but a few have distinguished between low-aggressive (Gleason Grade Group (GG) =3) PCas based on biparametric MRI (bpMRI). In this study, 108 PCas were collected from two different centers and were divided into training, testing, and validation set. From Apparent Diffusion Coefficient (ADC) map and T2-Weighted Image (T2WI), we extracted texture features, both 3D and 2D, and we implemented three different methods of Feature Selection (FS): Minimum Redundance Maximum Relevance (MRMR), Affinity Propagation (AP), and Genetic Algorithm (GA). From the resulting subsets of predictors, we trained Support Vector Machine (SVM), Decision Tree, and Ensemble Learning classifiers on the training set, and we evaluated their prediction ability on the testing set. Then, for each FS method, we chose the best classifier, based on both training and testing performances, and we further assessed their generalization capability on the validation set. Between the three best models, a Decision Tree was trained using only two features extracted from the ADC map and selected by MRMR, achieving, on the validation set, an Area Under the ROC (AUC) equal to 81%, with sensitivity and specificity of 77% and 93%, respectively.Clinical Relevance- Our best model demonstrated to be able to distinguish low-aggressive from high-aggressive PCas with high accuracy. Potentially, this approach could help clinician to noninvasively distinguish between PCas that might need active treatment and those that could potentially benefit from active surveillance, avoiding biopsy-related complications

The inhibition of 45A ncRNA expression reduces tumor formation, affecting tumor nodules compactness and metastatic potential in neuroblastoma cells

open16noWe recently reported the in vitro over-expression of 45A, a RNA polymerase IIItranscribed non-coding (nc)RNA, that perturbs the intracellular content of FE65L1 affecting cell proliferation rate, short-term response to genotoxic stress, substrate adhesion capacity and, ultimately, increasing the tumorigenic potential of human neuroblastoma cells. In this work, to deeply explore the mechanism by which 45A ncRNA contributes to cancer development, we targeted in vitro and in vivo 45A levels by the stable overexpression of antisense 45A RNA. 45A downregulation leads to deep modifications of cytoskeleton organization, adhesion and migration of neuroblastoma cells. These effects are correlated with alterations in the expression of several genes including GTSE1 (G2 and S phaseexpressed- 1), a crucial regulator of tumor cell migration and metastatic potential. Interestingly, the downregulation of 45A ncRNA strongly affects the in vivo tumorigenic potential of SKNBE2 neuroblastoma cells, increasing tumor nodule compactness and reducing GTSE1 protein expression in a subcutaneous neuroblastoma mouse model. Moreover, intracardiac injection of neuroblastoma cells showed that downregulation of 45A ncRNA also influences tumor metastatic ability. In conclusion, our data highlight a key role of 45A ncRNA in cancer development and suggest that its modulation might represent a possible novel anticancer therapeutic approach.openPenna, Ilaria; Gigoni, Arianna; Costa, Delfina; Vella, Serena; Russo, Debora; Poggi, Alessandro; Villa, Federico; Brizzolara, Antonella; Canale, Claudio; Mescola, Andrea; Daga, Antonio; Russo, Claudio; Nizzari, Mario; Florio, Tullio; Menichini, Paola; Pagano, AldoPenna, Ilaria; Gigoni, Arianna; Costa, Delfina; Vella, SERENA LUISA; Russo, Debora; Poggi, Alessandro; Villa, Federico; Brizzolara, Antonella; Canale, Claudio; Mescola, Andrea; Daga, Antonio; Russo, Claudio; Nizzari, Mario; Florio, Tullio; Menichini, Paola; Pagano, Ald

Efficacy of nilotinib in a young patient with high Sokal risk CML Ph+ in treatment failure after high dose imatinib

This article describes the case of a 44 year old man, at high-risk according to the Sokal Index, after CML Ph+ diagnosis, started imatinib at the standard dose (400 mg/day). Initially he reached optimal response, but at month 12, because of a loss of cytogenetic response, he was documented as a treatment failure. The mutational screening revealed no mutations and the blood level testing (BLT) showed values of ​​lower limits, therefore he increased imatinib to 800 mg/day. This therapeutic choice did not result in the achievement of an optimal response and the imatinib compliance was deteriorated. So, after nearly 12 months of treatment with high dose imatinib, we considered the treatment as a failure, and he switched to nilotinib, at the dose of 800 mg/day. After only 3 months of treatment, he reached complete cytogenetic response (CCyR) and major molecular response (MMolR), which the patient continues to maintain, as documented by the recent evaluation at month 30

TAAC - TMS Adaptable Auditory Control: A universal tool to mask TMS clicks

Background: Coupling transcranial magnetic stimulation with electroencephalography (TMS-EEG) allows recording the EEG response to a direct, non-invasive cortical perturbation. However, obtaining a genuine TMS- evoked EEG potential requires controlling for several confounds, among which a main source is represented by the auditory evoked potentials (AEPs) associated to the TMS discharge noise (TMS click). This contaminating factor can be in principle prevented by playing a masking noise through earphones. New method: Here we release TMS Adaptable Auditory Control (TAAC), a highly flexible, open-source, Matlab®- based interface that generates in real-time customized masking noises. TAAC creates noises starting from the stimulator-specific TMS click and tailors them to fit the individual, subject-specific click perception by mixing and manipulating the standard noises in both time and frequency domains. Results: We showed that TAAC allows us to provide standard as well as customized noises able to effectively and safely mask the TMS click. Comparison with existing methods: Here, we showcased two customized noises by comparing them to two standard noises previously used in the TMS literature (i.e., a white noise and a noise generated from the stimulator-specific TMS click only). For each, we quantified the Sound Pressure Level (SPL; measured by a Head and Torso Simulator - HATS) required to mask the TMS click in a population of 20 healthy subjects. Both customized noises were effective at safe (according to OSHA and NIOSH safety guidelines) and lower SPLs with respect to standard noises. Conclusions: At odds with previous methods, TAAC allows creating effective and safe masking noises specifically tailored on each TMS device and subject. The combination of TAAC with tools for the real-time visualization of TEPs can help control the influence of auditory confounds also in non-compliant patients. Finally, TAAC is a highly flexible and open-source tool, so it can be further extended to meet different experimental requirements

Plasma concentration of presepsin and its relationship to the diagnosis of infections in multiple trauma patients admitted to intensive care

Background and aims: Septic complications represent the pre- dominant cause of late death in poly-trauma patients. The necessi- ty to differentiate septic from non septic patients is more relevant at the early stage of the illness in order to improve the clinical out- come and to reduce the mortality. The identification of a sensitive and specific, clinically reliable, biomarker capable to early recog- nize incoming septic complications in trauma patients whose expression is not influenced by concomitant traumatic injuries, is still a challenge for the researchers in the field. patients (9 females and 39 males, mean age 47.6\ub119 years) with mul- tiple trauma was performed. The inclusion criterion was to suffer from acute trauma since no more than 24 hours and the exclusion cri- teria were the following: antibiotic treatment on admission and main- tained for more than 48 hours; on-going infection on admission not associated with trauma; treatment with immunosuppressors/ immunomodulants; age <18 years old. Presepsin was measured using an automated chemiluminescence analyser at 1, 3, 5 and 8 days post of hospitalization. The diagnosis of systemic inflammatory response syndrome (SIRS)/infection was established according to the criteria of the Surviving Sepsis Campaign. Materials and methods: A retrospective analysis on 48 adult Results and conclusions: In patients with SIRS, the mean pre- sepsin concentration was 917,08 (\ub169.042) ng/L vs 980,258 (\ub11951.32) ng/L in patients without SIRS (P=0.769). In the infected patients, the mean presepsin concentration was 1513.25 (\ub12296.54) ng/L vs 654.21 (\ub1511,068) ng/L (P<0.05) calculated among the non infected upon admission. The plasma presepsin concentration increased progressively during the first 8 days of hospitalization. Presepsin concentration in the infected patients was significantly higher than in non-infected patients. On the other hands no signifi- cant differences were found in the plasma level of presepsin among patients with and without SIRS. Any other clinical condition related to the trauma did not affect presepsin. Our data clearly suggest that presepsin may be considered an helpful diagnostic tool to early diagnose sepsis in trauma patients