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Automated Scan-To-BIM Methodology for Accurate 3D Modeling of Embedded MEP Systems
No full textThis paper presents an integrated methodology to enhance the detection, data acquisition and modeling of embedded MEP systems in existing buildings, addressing the gap between as-built information and the need for accurate simulation models. The approach begins with a comprehensive digital survey of existing structures using LiDAR and Radar technologies to generate point clouds and accurately tag the coordinates of detected installations. These datasets serve as the foundation for constructing a precise 3D model in an EBIM environment.
To automate data integration, a custom API was developed to cross-reference point cloud coordinates with manual detections, ensuring accurate representation of all embedded systems. The resulting enriched EBIM model is further enhanced by importing it into the Unity game engine. Through the Vuforia augmented reality SDK, an XR experience was created, offering an immersive and interactive visualization of the 3D model and detailed MEP systems.
This methodology demonstrates the potential of integrating advanced digital surveying, EBIM and XR technologies to streamline building surveys and 3D model creation. The proposed approach not only improves accuracy and efficiency but also introduces innovative tools for design, construction and maintenance workflows
The standalone and integrated value of digital twins and ancillary emerging technologies for enhancing supply chain performance
No full textResponsabilità penale degli apicali nelle strutture sanitarie e neutralizzazione della colpa di organizzazione
No full textKM3NeT: An infrastructure for underwater Cherenkov neutrino telescopes
No full textThe KM3NeT Collaboration is incrementally building two underwater Cherenkov neutrino telescopes in the Mediterranean Sea. Both telescopes share the same technology for neutrino detection, by studying Cherenkov radiation from secondary charged particles produced in neutrino interactions. Photomultipliers are a common choice for the detection of Cherenkov radiation, but the hostile underwater environment, affected by sea currents and bioluminescence demands innovative solutions in KM3NeT. The distinctive technological features of KM3NeT are discussed, such as its sub-nanosecond timing accuracy and the few-centimetre accurate acoustic positioning of the detector elements. This results in a neutrino pointing accuracy below 0.5°at energies above 100 TeV for track-like events. The KM3NeT design is modular and allows for data taking with the telescope still in the construction stage. Early technical and scientific results are enticing. In particular, KM3NeT recently discovered a neutrino of unprecedented energy from outer space. The article covers the design and operation of the KM3NeT telescopes, as well as readout techniques, time synchronisation, data flow and event reconstruction, highlighting both technical and scientific aspects
Targeting Class I Histone Deacetylases Triggers Antitumor Responses in Colorectal Cancer In Vitro and In Vivo
No full textClass I histone deacetylases (HDACs) are frequently overexpressed in colorectal cancer (CRC). Combining computational, synthetic, and biological efforts, we developed novel o-aminobenzamide-based HDAC inhibitors (HDACis) optimized for class I enzyme-specific targeting. Compounds 5d and 5i emerged as lead candidates, showing strong antiproliferative effects in CRC cells with low toxicity in healthy colon epithelium. Both compounds disrupted the G2/M checkpoint through distinct mechanisms. 5i, although less potent (HDAC1 IC50 = 1508 nM), retained selectivity, upregulated p21, and triggered pronounced apoptosis. 5d (Colrestat), one of the most selective class I HDACis to date (HDAC1 IC50 = 41.2 nM, HDAC2 IC50 = 52.5 nM, and HDAC3 IC50 = 74.3 nM), induced H3K9 acetylation, p21 upregulation, and G2/M arrest. The short-term in vitro effects of 5d were modulated by a compensatory upregulation of autophagy. However, in long-term, this protective mechanism becomes insufficient to sustain tumor survival, resulting in strong antitumor efficacy in vivo in the CAM assay for both compounds even outperforming entinostat
L’Intelligenza Artificiale alla prova delle tutele apprestate dalla Carta dei diritti fondamentali dell’Unione europea
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VALORISATION OF WILD EDIBLE AND MEDICINAL PLANTS THROUGH PHYTOCHEMICAL ANALYSES AND EVALUATION OF THEIR POTENTIAL BIOLOGICAL PROPERTIES
No full textTHE AIM OF THIS PHD PROJECT WAS THE VALORISATION OF WILD FOOD AND MEDICINAL PLANTS SELECTED BY ETHNOBOTANICAL RESEARCH AND ECOLOGICAL DATA THROUGH PHYTOCHEMICAL INVESTIGATIONS AND STUDIES OF THEIR POTENTIAL BIOLOGICAL PROPERTIES. DURING THE FIRST YEAR, WE FOCUSED THE ATTENTION ON THE FLOWERS EXTRACT OF CRATAEGUS LACINIATA UCRIA (ROSACEAE), WILD-GROWING IN WESTERN SICILY. LC-MS ANALYSES SHOWED 41 COMPOUNDS IN THE FLOWER EXTRACT (CLF), MAINLY C- AND O-FLAVONOID DERIVATIVES. THE FLOWER EXTRACT INDICATED STRONG ANTIOXIDANT POTENTIAL IN DPPH, ABTS, AND FRAP ASSAYS. IN ADDITION, CLF EXHIBITED ANTI-MELANOGENIC EFFECTS IN DANIO RERIO (ZEBRAFISH) AND SIGNIFICANT INHIBITORY ACTIVITY AGAINST TYROSINASE, Α-AMYLASE, AND Α-GLUCOSIDASE ENZYMES. THESE RESULTS REVEALED C. LACINIATA AS A VALUABLE SOURCE OF BIOACTIVE COMPOUNDS WITH POTENTIAL PHARMACEUTICAL AND COSMECEUTICAL APPLICATIONS. THE FINDINGS IMPLY THAT CLF CAN BE A PROMISING SOURCE OF BIOACTIVE COMPOUNDS FOR APPLICATION IN PHARMACEUTICAL AND COSMECEUTICAL INDUSTRIES. THEN, THE SECOND YEAR, FRUIT EXTRACTS OF DIFFERENT CRATAEGUS SPECIES WERE STUDIED. THE LC-MS ANALYSIS OF CRATAEGUS FRUIT EXTRACTS EXHIBITED 25 MAJOR COMPONENTS, MAINLY FLAVONOIDS, PHENOLIC ACIDS, AND FATTY ACIDS. QUANTITATIVE ANALYSIS USING UHPLC-MS SHOWED SPECIES-SPECIFIC DIFFERENCES: C. LAEVIGATA AND C. ZICHICHIANUS WERE RICH IN HYPEROSIDE, C. AZAROLUS CONTAINED THE HIGHEST LEVELS OF CYANIDIN-O-GLUCOSIDE, WHILE C. AZAROLUS SUB. ARONICA SHOWED THE HIGHEST VITEXIN CONTENT. THE EXTRACTS EXHIBITED STRONG ANTIOXIDANT ACTIVITY IN DPPH, ABTS, AND FRAP ASSAYS, AND DEMONSTRATED POTENT INHIBITION OF Α-GLUCOSIDASE, SUGGESTING POTENTIAL ANTIDIABETIC PROPERTIES. MOREOVER, DURING THE SAME YEAR THE PHYTOCHEMICAL INVESTIGATION OF STEM BARK EXTRACTS OF CEDRELA ODORATA (MELIACEAE) AIMED AT IDENTIFYING NEW LIGNAN AND NEOLIGNAN DERIVATIVES WITH POTENTIAL ANTIANGIOGENIC PROPERTIES, WAS CARRIED OUT. FROM THE, TWO PREVIOUSLY UNDESCRIBED 8’,9’-BIS-NOR-NEOLIGNANS—9-ACETYLTOONIN C AND THREO-GUAIACYLGLYCEROL-Β-METHYL VANILLATE ETHER—WERE ISOLATED AND STRUCTURALLY ELUCIDATED BY 1D/2D NMR AND HRESIMS ANALYSES. TOGETHER WITH RELATED LIGNANS FROM OUR CHEMICAL LIBRARY, THESE COMPOUNDS WERE EVALUATED FOR ANTIANGIOGENIC ACTIVITY USING THE DANIO RERIO (ZEBRAFISH) EMBRYO MODEL. COMPOUNDS 1–3 SHOWED THE ST RONGEST INHIBITION OF BLOOD VESSEL FORMATION, WITH COMPOUND 2 DISPLAYING AN EFFECT COMPARABLE TO THE REFERENCE COMPOUND 2-METHOXYESTRADIOL. THESE FINDINGS CONTRIBUTE TO THE UNDERSTANDING OF NEOLIGNANS AS PROMISING SCAFFOLDS FOR THE DEVELOPMENT OF NATURAL ANTIANGIOGENIC AGENTS. IN ADDITION, THE PHYTOCHEMICAL STUDY OF EXUDATE AND ARIAL PARTS EXTRACTS OF LAVANDULA PUBESCENS, A SPECIES TRADITIONALLY USED IN SAUDI ARABIA FOR ITS ANTIBACTERIAL AND ANTI-INFLAMMATORY PROPERTIES, LED TO THE ISOLATION OF SEVEN NEW DITERPENOIDS ALONG WITH FOUR KNOWN PIMARANES AND THREE KNOWN FLAVONOIDS FROM ITS EXUDATES AND THE SURFACE EXTRACT, FRACTIONS AND PURE COMPOUNDS OF L. PUBESCENS WERE STUDIED FOR THEIR ANTI-INFLAMMATORY ACTIVITY AGAINST THP-1 CELLS. BASED ON THE STUDY CARRIED OUT IN THE SECOND YEAR ON THE L. PUBESCENS, DURING THE THIRD YEAR A CHEMICAL THE INVESTIGATION OF ARIAL PART EXTRACT OF L. PUBESCENS WAS PERFORMED AND LED TO THE ISOLATION OF DITERPENOIDS, INCLUDING NINE NEW DITERPENS (1-9) AND SIX KNOWN MONOTERPENES (15-20), TOGETHER WITH THE KNOWN ENT-PIMAR-8(14)-15,16DIOL (HANG ET AL 2005), 15(S)-ISOPIMAR-7-EN-15,16 DIOL. THEIR STRUCTURES WERE DETERMINED BY 1D AND 2D NMR SPECTROSCOPY, HRESIMS ANALYSES. FURTHERMORE, ANTIMICROBIAL ACTIVITY OF THE EXTRACTS AND SUBSEQUENTLY FRACTIONS, AND MOLECULES WAS EVALUATED
An Algorithmic Theory of Simplicity in Mechanism Design
No full textA growing body of work in economics and computation focuses on the trade-off between implementability and simplicity in mechanism design. The goal is to develop a theory that not only allows to design an incentive structure easy to grasp for imperfectly rational agents, but also understand the ensuing limitations on the class of mechanisms that enforce it. In this context, OSP mechanisms have assumed a prominent role since they provably account for the absence of contingent reasoning skills, a specific cognitive limitation. For single-dimensional agents, it is known that OSP mechanisms need to use certain greedy algorithms. In this work, we introduce a notion that interpolates between OSP and SOSP, a more stringent notion where agents only plan a subset of their own future moves. We provide an algorithmic characterization of this novel class of mechanisms for single-dimensional domains and binary allocation problems, that precisely measures the interplay between simplicity and implementability. We further show how mechanisms based on reverse greedy algorithms (a.k.a., deferred acceptance auctions) are algorithmically more robust to imperfectly rationality than those adopting greedy algorithms
