Ruolo del Lapatinib nel trattamento adiuvante del carcinoma mammario HER-2 positivo

Aim: HER2 receptor is a molecular target for breast cancer therapy. Two drugs acts against this receptor: Trastuzumab, a monoclonal antibody efficacy both in metastatic and adiuvant setting and Lapatinib, an orally kinase inhibitor both HER1 and HER2 receptors, approved for HER2-positive metastatic breast-cancer. The study establish efficacy and safety of Lapatinib in early stage HER2 over-expressing breast cancer and examines prognostic and predictive role of HER2 and HER1 receptors. Methods: Women with early-stage HER2 positive breast cancer, not previously treated with trastuzumab, but pretreated with adjuvant chemotherapy, were randomly assigned to receive Lapatinib 1500 mg or placebo orally once daily, for 12 months or until disease recurrence. Primary endpoint was disease-free survival (DFS). Safety and overall survival (OS) were secondary endpoints. Results: Twelve women were enrolled. Five patients discontinued treatment: two for withdrawal consence and three for toxicity (skin-rush G3 in one case and diarrhea G2 in other two). Seven women completed 1-yr therapy: 3 didn't show toxicity and four had skin toxicity G1-2; a patient had a dose reduction. After 24 months of follow-up, 6 patients are disease free and a patient died after 3 months from diagnosis of SNC metastases (May 2009). Conclusions: Lapatinib showed a good safety profile. Diarrhea and skin-rush were the most common side-effects and were mostly moderate and treatable. Follow-up is too short for disease free survival datas

COMPARISON OF THE QUALITY OF VEGETABLE OILS DESIGNED FOR THE FRYING FOOD

The object of the research was to investigate the quality of vegetable oils for cooking food. The analysis used two types of oils - oil Fritol and Promienna. Both oils were purchased commercially. Oil changes were observed at frying French fries. At the same changes were observed oil stored at room temperature and the temperature in the refrigerator. The determined parameters included the measurement of polar materials in oil with electronic device Testo 265 for measuring the quality of cooking oil. Determination of change in the texture of oil during the oil deterioration by device Texturometer TA.XT Plus and determination the peroxide value by STN EN ISO 3960:2007. The work is also evaluating the results of the studied parameters. In all compared cases based on the content of the TPM showed higher heat resistance oil Fritol and sample of oil stored in the refrigerator.https://doi.org/10.5219/21

Enhanced Channel Estimation in mm-Wave MIMO Systems Leveraging Integrated Communication and Sensing

This paper tackles the challenge of wideband MIMO channel estimation within indoor millimeter-wave scenarios. Our proposed approach exploits the integrated sensing and communication paradigm, where sensing information aids in channel estimation. The key innovation consists of employing both spatial and temporal sensing modes to significantly reduce the number of required training pilots. Moreover, our algorithm addresses and corrects potential mismatches between sensing and communication modes, which can arise from differing sensing and communication propagation paths. Extensive simulations demonstrate that the proposed method requires 4x less pilots compared to the current state-of-the-art, marking a substantial advancement in channel estimation efficiency

Waveform Design for OFDM-based ISAC Systems Under Resource Occupancy Constraint

Integrated Sensing and Communication (ISAC) is one of the key pillars envisioned for 6G wireless systems. ISAC systems combine communication and sensing functionalities over a single waveform, with full resource sharing. In particular, waveform design for legacy Orthogonal Frequency Division Multiplexing (OFDM) systems consists of a suitable time-frequency resource allocation policy balancing between communication and sensing performance. Over time and/or frequency, having unused resources leads to an ambiguity function with high sidelobes that significantly affect the performance of ISAC for OFDM waveforms. This paper proposes an OFDM-based ISAC waveform design that takes into account communication and resource occupancy constraints. The proposed method minimizes the Cram\'er-Rao Bound (CRB) on delay and Doppler estimation for two closely spaced targets. Moreover, the paper addresses the under-sampling issue by interpolating the estimated sensing channel based on matrix completion via Schatten $p$-norm approximation. Numerical results show that the proposed waveform outperforms the state-of-the-art methods.Comment: 6 page

Advanced Tri-Sectoral Multi-User Millimeter-Wave Smart Repeater

Smart Repeaters (SR) can potentially enhance the coverage in Millimeter-wave (mmWave) wireless communications. However, the angular coverage of the existing two-panel SR is too limited to make the SR a truly cost-effective mmWave range extender. This paper proposes the usage of a tri-sectoral Advanced SR (ASR) to extend the angular coverage with respect to conventional SR. We propose a multi-user precoder optimization for ASR in a downlink multi-carrier communication system to maximize the number of served User Equipments (UEs) while guaranteeing constraints on per-UE rate and time-frequency resources. Numerical results show the benefits of the ASR against conventional SR in terms of both cumulative spectral efficiency and number of served UEs (both improved by an average factor 2), varying the system parameters

Monitoring of Carbonated Hydroxyapatite Growth on Modified Polycrystalline CVD-Diamond Coatings on Titanium Substrates

Production of diamond coatings on titanium substrates has demonstrated as a promising strategy for applications ranging from biosensing to hard tissue engineering. The present study focuses on monitoring the nucleation and growth of bone-like carbonated-hydroxyapatite (C-HA) on polycrystalline diamond (PCD) synthetized on titanium substrate by means of a hot filament chemical vapor deposition (HF-CVD) method. The surface terminations of diamond coatings were selectively modified by oxidative treatments. The process of the C-HA deposition, accomplished by precipitation from simulated body fluid (SBF), was monitored from 3 to 20 days by Raman spectroscopy analysis. The coupling of morphological and structural investigations suggests that the modulation of the PCD surface chemistry enhances the bioactivity of the produced materials, allowing for the formation of continuous C-HA coatings with needle-like texture and chemical composition typical of those of the bone mineral. Specifically, after 20 days of immersion in SBF the calculated carbonate weight percent and the Ca/P ratio are 5.5% and 2.1, respectively. Based on these results, this study brings a novelty in tailoring the CVD-diamond properties for advanced biomedical and technological applications

Discrimination périodique à partir d’observations multi-temporelles

Cet article s’attaque au problème de discrimination instantanée de données temporelles périodiques. Nous proposons un classifieur linéaire non-stationnaire, régularisé par rapport à sa complexité temporelle. Le modèle est également étendu au cas multi-classe. Cette approche est testée sur des simulations numériques ainsi que des séries temporelles d’images satellites. Les résultats illustrent un très bon comportement

Industrial carbon emission intensity: a comprehensive dataset of European regions.

The dataset has been developed within the framework of the EU EIT-Climate Kic Flagship Project “Re-Industrialise” and it includes data of Carbon Emission Intensity (CEI) from industrial sources for the European Regions. CEI is considered as a proxy for analysing the Industrial Sustainability Transition pathways and is calculated as the ratio between CO2 equivalent emissions (CO2e) and Gross Domestic Product (GDP) of the industrial sector over a nine-year timespan, i.e. from 2008 to 2016. CO2e data at plant level have been retrieved from EU Emission Trading System (EU ETS) register and aggregated at different geographical scales, corresponding to the nested structure of NUTS (Nomenclature of Territorial Units for Statistics), proposed by EUROSTAT. Industrial GDP data have been selected from EUROSTAT database to match the industrial sectors covered by EU ETS

Multilevel-growth modeling for the study of sustainability transitions.

Sustainability Transitions (ST) is a complex phenomenon, encompassing environmental, societal and economic aspects. Its study requires a proper investigation, with the identification of a robust indicator and the definition of a suitable method of analysis. To identify the most informative geographical boundaries for analysing ST pathways, we consider the Carbon Emission Intensity (CEI) and estimate a four-level growth model to study its pattern over time for all the EU regions. We apply this model to a novel longitudinal dataset that covers CEI data of European regions at four different geographical scales (state, areas, regions, and provinces) over a nine-year timespan. This approach aims at supporting the decision-makers in developing more effective sustainability transitions policies across Europe, especially focusing on regions and overcoming the well-known “one-size fits all” approach. • The unconditional growth model has been applied to a multi-level structure considering four levels, defined by three geographical scales and time. • The ideal structure of the model would have required five levels, but the sample size of the dataset made the application computationally unfeasible; • The application of the model allowed to identify patterns of stability and change over time of the variable amongst different geographical units

Object descriptors based on a list of rectangles: method and algorithm

peer reviewedMost morphological operators use a unique structuring element, possibly at different scales, to describe an object. In addition, morphological algorithms are often restricted to 1D structuring elements, combinations of 1D elements, or isotropic structuring elements (like circles), because of the lack of methods directly applicable to 2D structuring elements. While these descriptors have proved useful in the past, we propose an alternative that uses the list of maximal rectangles contained in a set X. In particular, we focus on an opening that preserves large rectangles contained in a set X and on its companion 2D algorithm that builds a list of all the maximal rectangles that fit inside an arbitrary set X. This list is the base of new descriptors that have been used successfully for machine learning tasks