Self-Protection Mechanisms for Web Applications - A Case Study

Self-protection mechanisms aim to improve security of software systems at runtime. They are able to automatically prevent and/or react to security threats by observing the state of a system and its execution environment, by reasoning on the observed state, and by applying enhanced security strategies appropriate for the current threat. Self-protection mechanisms complement traditional security solutions which are mostly static and focus on the boundaries of a system, missing in this way the overall picture of a system's security. This paper presents several self-protection mechanisms which have been developed in the context of a case study concerning a home banking system. Essentially, the mechanisms described in this paper aim to improve the security of the system in the following two scenarios: users' login and bank operations. Furthermore, the proposed self-protection mechanisms are presented through the taxonomy proposed in (Yuan, 2014)

An Unusual Histology for a Lung Nodule: A Case Report of Primary Pulmonary Paraganglioma

Introduction: Primary pulmonary paraganglioma is a rare tumor with few cases reported in literature and unspecific clinical presentation.Case Presentation: A 49-year-old woman presented to our department with an incidental finding of a pulmonary mass at chest X-ray and no associated clinical symptom. The CT scan and the FDG-PET showed mild uptake of contrast, but a definitive diagnosis was only possible after surgery through histopathological examination.Conclusion: Paragangliomas originating in the pulmonary tissue are generally non-functioning masses discovered incidentally in otherwise asymptomatic patients. Surgery appears to be the best treatment option, with only radiologic follow-up necessary afterwards

APOLLO 11 Project, Consortium in Advanced Lung Cancer Patients Treated With Innovative Therapies: Integration of Real-World Data and Translational Research

Introduction: Despite several therapeutic efforts, lung cancer remains a highly lethal disease. Novel therapeutic approaches encompass immune-checkpoint inhibitors, targeted therapeutics and antibody-drug conjugates, with different results. Several studies have been aimed at identifying biomarkers able to predict benefit from these therapies and create a prediction model of response, despite this there is a lack of information to help clinicians in the choice of therapy for lung cancer patients with advanced disease. This is primarily due to the complexity of lung cancer biology, where a single or few biomarkers are not sufficient to provide enough predictive capability to explain biologic differences; other reasons include the paucity of data collected by single studies performed in heterogeneous unmatched cohorts and the methodology of analysis. In fact, classical statistical methods are unable to analyze and integrate the magnitude of information from multiple biological and clinical sources (eg, genomics, transcriptomics, and radiomics). Methods and objectives: APOLLO11 is an Italian multicentre, observational study involving patients with a diagnosis of advanced lung cancer (NSCLC and SCLC) treated with innovative therapies. Retrospective and prospective collection of multiomic data, such as tissue- (eg, for genomic, transcriptomic analysis) and blood-based biologic material (eg, ctDNA, PBMC), in addition to clinical and radiological data (eg, for radiomic analysis) will be collected. The overall aim of the project is to build a consortium integrating different datasets and a virtual biobank from participating Italian lung cancer centers. To face with the large amount of data provided, AI and ML techniques will be applied will be applied to manage this large dataset in an effort to build an R-Model, integrating retrospective and prospective population-based data. The ultimate goal is to create a tool able to help physicians and patients to make treatment decisions. Conclusion: APOLLO11 aims to propose a breakthrough approach in lung cancer research, replacing the old, monocentric viewpoint towards a multicomprehensive, multiomic, multicenter model. Multicenter cancer datasets incorporating common virtual biobank and new methodologic approaches including artificial intelligence, machine learning up to deep learning is the road to the future in oncology launched by this project

Safety of extended interval dosing immune checkpoint inhibitors:a multicenter cohort study

BACKGROUND: Real-life spectrum and survival implications of immune-related adverse events (irAEs) in patients treated with extended interval dosing (ED) immune checkpoint inhibitors (ICIs) are unknown. METHODS: Characteristics of 812 consecutive solid cancer patients who received at least 1 cycle of ED monotherapy (pembrolizumab 400 mg Q6W or nivolumab 480 mg Q4W) after switching from canonical interval dosing (CD; pembrolizumab 200 mg Q3W or nivolumab 240 mg Q2W) or treated upfront with ED were retrieved. The primary objective was to compare irAEs patterns within the same population (before and after switch to ED). irAEs spectrum in patients treated upfront with ED and association between irAEs and overall survival were also described. RESULTS: A total of 550 (68%) patients started ICIs with CD and switched to ED. During CD, 225 (41%) patients developed any grade and 17 (3%) G3 or G4 irAEs; after switching to ED, any grade and G3 or G4 irAEs were experienced by 155 (36%) and 20 (5%) patients. Switching to ED was associated with a lower probability of any grade irAEs (adjusted odds ratio [aOR] = 0.83, 95% confidence interval [CI] = 0.64 to 0.99; P = .047), whereas no difference for G3 or G4 events was noted (aOR = 1.55, 95% CI = 0.81 to 2.94; P = .18). Among patients who started upfront with ED (n = 232, 32%), 107 (41%) developed any grade and 14 (5%) G3 or G4 irAEs during ED. Patients with irAEs during ED had improved overall survival (adjusted hazard ratio [aHR] = 0.53, 95% CI = 0.34 to 0.82; P = .004 after switching; aHR = 0.57, 95% CI = 0.35 to 0.93; P = .025 upfront). CONCLUSIONS: Switching ICI treatment from CD and ED did not increase the incidence of irAEs and represents a safe option also outside clinical trials.</p

Clinical Features, Cardiovascular Risk Profile, and Therapeutic Trajectories of Patients with Type 2 Diabetes Candidate for Oral Semaglutide Therapy in the Italian Specialist Care

Introduction: This study aimed to address therapeutic inertia in the management of type 2 diabetes (T2D) by investigating the potential of early treatment with oral semaglutide. Methods: A cross-sectional survey was conducted between October 2021 and April 2022 among specialists treating individuals with T2D. A scientific committee designed a data collection form covering demographics, cardiovascular risk, glucose control metrics, ongoing therapies, and physician judgments on treatment appropriateness. Participants completed anonymous patient questionnaires reflecting routine clinical encounters. The preferred therapeutic regimen for each patient was also identified. Results: The analysis was conducted on 4449 patients initiating oral semaglutide. The population had a relatively short disease duration (42%  60% of patients, and more often than sitagliptin or empagliflozin. Conclusion: The study supports the potential of early implementation of oral semaglutide as a strategy to overcome therapeutic inertia and enhance T2D management

Efficient Parallelization of Motion Estimation for Super-Resolution

This paper presents an efficient parallelization of the Motion Estimation procedure, one of the core parts of Super Resolution techniques. The algorithm considered is the basic version of Block Matching Super Resolution, with a single low-resolution camera and fixed Macro Block dimensions. Two are the implementations provided, with OpenMP and in CUDA on an NVIDIA Kepler GPU. Tests have been conducted on five image sequences and the results show a considerable improvement of the CUDA solution in all cases. Consequently, it can be stated that GPUs can efficiently accelerate computational times assuring the same image quality

Mass spectrometry quantification of beef and pork meat in highly processed food: Application on Bolognese sauce

Food frauds have become a very important issue in the field of food quality and safety. The risk of food adulteration is higher in highly processed food and mainly affects high added value foodstuff. The methods currently available to face this issue, PCR and ELISA, are very sensitive and specific, but they have some limitations. In the present work, tandem mass spectrometry is presented as an emerging approach to detect beef and pork meat in very complex and highly processed food matrices, such as Bolognese sauce, both in qualitative than in quantitative way. The detection is achieved using two different marker peptides, specific for beef and pork meat, both deriving from α2-collagen chain. Then, a calibration curve is set up using real sauces made by different percentages of pork and beef meat in a working range from 0 to 100%. The method here developed allows to quantify beef and pork meat in a complex product such as Bolognese sauce

A Parallel Neurochip for Neural Networks Implementing the Reactive Tabu Search Algorithm: Application Case Studies

In this paper an FPGA based coprocessor is presented, interfaced with the CPU to the computer through the PCI bus; it allows a faster evaluation of the energy of a crystal, which is usually the heaviest part of a Monte Carlo simulation. The work is part of a global project aimed to design and build a parallel system made up by a cluster of accelerated workstations communicating through one among the most advanced modern network technologies. First estimations of performance show a big acceleration with respect the execution of the same application on an Intel CPU based mother-board

Species specific marker peptides for meat authenticity assessment: A multispecies quantitative approach applied to Bolognese sauce

Food frauds are a critical issue in the field of food safety and quality. Given the high added value, and the complexity of the matrix, processed meat products are among those most susceptible of adulteration. Despite all the efforts made by the official control authorities and by the food industry to counteract these frauds, the undeclared replacement of meat species with cheaper ones is still widespread. The meat species allowed for food consumption are many, and their specific and accurate detection in highly processed food products requires very sensitive and selective analytical methods. In this work, a LC-MS method was developed to identify and quantify eight different meat species (duck, rabbit, chicken, turkey, buffalo, equine, deer and sheep) in a complex food matrix, such as Bolognese sauce. After protein extraction and trypsin digestion, a species-specific peptide marker for each species was chosen for qualification and quantification. The method was validated on real Bolognese sauce samples prepared in an industrial environment, showing a good sensitivity (LOD 0.2–0.8% on whole finished product) and the possibility, using specifically defined calibration lines, to quantify the amount of meat present coming from different species

Head and neck reconstruction using the superiorly based reversed-flow facial artery myomucosal flap

Purpose: The use of myomucosal buccinator flaps in the reconstruction of oral cavity defects is well established in the international literature; however, their use for the reconstruction of defects not in the oral cavity has been largely underestimated. The purpose of this report was to describe and review the applications of the superiorly based facial artery myomucosal (FAMM) flap in head and neck reconstruction. Materials and Methods: This study was a retrospective evaluation of 12 patients who underwent reconstruction of the palate, lip, nasal septum, and conjunctiva with reversed-flow FAMM flaps. Mouth opening, speech, reconstruction effectiveness, and esthetic outcomes were analyzed. Results: The patient cohort consisted of 7 men and 5 women 33 to 80 years old (mean, 56.2 yr old). No major complication occurred. Cosmetic results were excellent in most patients. Functionally, the best reconstruction results were obtained in the palate, lip, and conjunctiva. Nasal reconstruction led to mild airway obstruction in 2 cases and severe obstruction in 1 case. Conclusion: The superiorly based FAMM flap plays an important role in the reconstruction of particular defects involving the oral cavity and other distant sites of the head and neck area. The reliability, low morbidity, and optimal results that can be achieved using this technique make this flap a good option for such reconstructions