Kaplan's Sloppy Thinker and the Demonstrative Origine of Indeicals

In this paper we give some suggestions from etymology on the contrast between Kaplan’s direct reference theory and a neo-Fregean view on indexicals. After a short summary of the philosophical debate on indexicals (§1), we use some remarks about the hidden presence of a demonstrative root in all indexicals to derive some provisional doubts concerning Kaplan’s criticism of what he calls “sloppy thinker” (§2). To support those doubts, we will summarise some etymological data on the derivation of the so-called “pure indexicals” from an original demonstrative root (§ 3). The aim of the paper is to consider etymological data as providing evidence for alternative theories of language and fostering new directions in linguistic and philosophical research on specific topics

An Annotation Tool for a Digital Library System of Epidermal Data

Melanoma is one of the deadliest form of skin cancers so it becomes crucial the developing of automated systems that analyze and investigate epidermal images to early identify them also reducing unnecessary medical exams. A key element is the availability of user-friendly annotation tools that can be used by non-IT experts to produce well-annotated and high-quality medical data. In this work, we present an annotation tool to manually crate and annotate digital epidermal images, with the aim to extract meta-data (annotations, contour patterns and intersections, color information) stored and organized in an integrated digital library. This tool is obtained following rigid usability principles also based on doctors interviews and opinions. A preliminary but functional evaluation phase has been conducted with non-medical subjects by using questionnaires, in order to check the general usability and the efficacy of the proposed tool

XDOCS: An Application to Index Historical Documents

Dematerialization and digitalization of historical documents are key elements for their availability, preservation and diffusion. Unfortunately, the conversion from handwritten to digitalized documents presents several technical challenges. The XDOCS project is created with the main goal of making available and extending the usability of historical documents for a great variety of audience, like scholars, institutions and libraries. In this paper the core elements of XDOCS, i.e. page dewarping and word spotting technique, are described and two new applications, i.e. annotation/indexing and search tool, are presented

Fast gesture recognition with Multiple StreamDiscrete HMMs on 3D Skeletons

HMMs are widely used in action and gesture recognition due to their implementation simplicity, low computational requirement, scalability and high parallelism. They have worth performance even with a limited training set. All these characteristics are hard to find together in other even more accurate methods. In this paper, we propose a novel doublestage classification approach, based on Multiple Stream Discrete Hidden Markov Models (MSD-HMM) and 3D skeleton joint data, able to reach high performances maintaining all advantages listed above. The approach allows both to quickly classify presegmented gestures (offline classification), and to perform temporal segmentation on streams of gestures (online classification) faster than real time. We test our system on three public datasets, MSRAction3D, UTKinect-Action and MSRDailyAction, and on a new dataset, Kinteract Dataset, explicitly created for Human Computer Interaction (HCI). We obtain state of the art performances on all of them

Learn to See by Events: Color Frame Synthesis from Event and RGB Cameras

Event cameras are biologically-inspired sensors that gather the temporal evolution of the scene. They capture pixel-wise brightness variations and output a corresponding stream of asynchronous events. Despite having multiple advantages with respect to traditional cameras, their use is partially prevented by the limited applicability of traditional data processing and vision algorithms. To this aim, we present a framework which exploits the output stream of event cameras to synthesize RGB frames, relying on an initial or a periodic set of color key-frames and the sequence of intermediate events. Differently from existing work, we propose a deep learning-based frame synthesis method, consisting of an adversarial architecture combined with a recurrent module. Qualitative results and quantitative per-pixel, perceptual, and semantic evaluation on four public datasets confirm the quality of the synthesized images

Vision-Based Eye Image Classification for Ophthalmic Measurement Systems

: The accuracy and the overall performances of ophthalmic instrumentation, where specific analysis of eye images is involved, can be negatively influenced by invalid or incorrect frames acquired during everyday measurements of unaware or non-collaborative human patients and non-technical operators. Therefore, in this paper, we investigate and compare the adoption of several vision-based classification algorithms belonging to different fields, i.e., Machine Learning, Deep Learning, and Expert Systems, in order to improve the performance of an ophthalmic instrument designed for the Pupillary Light Reflex measurement. To test the implemented solutions, we collected and publicly released PopEYE as one of the first datasets consisting of 15 k eye images belonging to 22 different subjects acquired through the aforementioned specialized ophthalmic device. Finally, we discuss the experimental results in terms of classification accuracy of the eye status, as well as computational load analysis, since the proposed solution is designed to be implemented in embedded boards, which have limited hardware resources in computational power and memory size

Blera e Lupatia, toponimi peucezio-messapici

Bl\u113r\u103 < Proto-Indo-European *B\u2b1l\u1e17h\u2083r\u103h\u2090 \u201csprouts\u201d; L\u16dp\u103t\u12d\u103 < PIE *L\u16dp\u14fti\u32f\u103h\u2090 \u201c(place) of ragamuffins (Neanderthals?)\u201d. New or revised Proto-Indo-European etymologies of L\u16dp\u12d\u103e, \u3a3\u3cd\u3b2\u3b1\u3c1\u3b9\u3c2, Vaste, \u392\u3b1\u1fe6\u3c3\u3c4\u3b1, Parabita, Sombrino, Collepasso, Collepazzo, Lupacciu, Manduria, Bari, \u100p\u16dl\u12b/\u100p\u16bl\u12d\u103, Basento, Bilioso, Br\ue0dano, Gravina, Gr\u103u\u12dsc\u103, Fr\u115g\u113n\u103e, Fr\u113g\u115ll\u103e, Bivona, Bibbona, Bi\ue8ntina, H\u113b\u103, Fi\ue8sole, F\u115ls\u12dn\u103, S. Giovanni Lupatoto, via Lupa (Milan), Lake L\uf6\u15be (Premana [Lecco]), Lozza/Lozzo, Schianno, Bosto (Varese), Luot (Manche), Imatra (Finland), Peipus, \u1f09\u3bb\u3b9\u3ba\u3ac\u3c1\u3bd\u1fb1\u3c3\u3c3\u3bf\u3c2, \u393\u3b1\u3c1\u3b3\u3b7\u3c4\u3c4\u3cc\u3c2, \u3a0\u3ac\u3c4\u3c1\u3b1\u3c3\u3c5\u3c2 are added

Personalized medicine—a modern approach for the diagnosis and management of hypertension

The main goal of treating hypertension is to reduce blood pressure to physiological levels and thereby prevent risk of cardiovascular disease and hypertension-associated target organ damage. Despite reductions in major risk factors and the availability of a plethora of effective antihypertensive drugs, the control of blood pressure to target values is still poor due to multiple factors including apparent drug resistance and lack of adherence. An explanation for this problem is related to the current reductionist and ‘trial-and-error’ approach in the management of hypertension, as we may oversimplify the complex nature of the disease and not pay enough attention to the heterogeneity of the pathophysiology and clinical presentation of the disorder. Taking into account specific risk factors, genetic phenotype, pharmacokinetic characteristics, and other particular features unique to each patient, would allow a personalized approach to managing the disease. Personalized medicine therefore represents the tailoring of medical approach and treatment to the individual characteristics of each patient and is expected to become the paradigm of future healthcare. The advancement of systems biology research and the rapid development of high-throughput technologies, as well as the characterization of different –omics, have contributed to a shift in modern biological and medical research from traditional hypothesis-driven designs toward data-driven studies and have facilitated the evolution of personalized or precision medicine for chronic diseases such as hypertension