Geodati e cluster analysis, dalle immagini in bianco e nero alle mappe 3D

Il termine “Geomatica” vent’anni fa non era comunemente utilizzato, o almeno non in maniera così estesa come ora. Non si parlava di “geodati”, ma eventualmente di dati “spatially distributed”, l’analisi spaziale era “analisi dati” e certamente non avremmo definito “spatial analysis tools” i programmi in Fortran 77 o 90 che scrivevamo ad hoc per implementare gli algoritmi di analisi dati, in base alle esigenze delle specifiche ricerche. Certamente l’aspetto della distribuzione spaziale delle informazioni era rilevante, ma non eravamo abituati a visualizzare i dati su cui lavoravamo con la stessa facilità, velocità e versatilità di rappresentazione alle quali gli strumenti GIS e i loro “tool” ci hanno abituato. Per toccare con mano, come se fosse una fotografia in “time-lapse”, l’evoluzione delle tecnologie nelle nostre discipline, abbiamo svolto un esercizio recuperando i file originali delle anomalie di gravità e delle quote ortometriche utilizzate per alcuni test di un software di cluster analysis realizzati durante il triennio 1995/98, e descritti nella Tesi di Dottorato (Tornatore, 1998). Gli stessi dati, importati in ambiente GIS dopo quasi vent’anni, ci hanno permesso di calcolare indici statistici con la ben nota immediatezza e di realizzare facilmente modelli digitali del terreno e delle anomalie di gravità per la zona studiata. In conclusione, una riflessione su quello che nelle informazioni spaziali “vediamo” più di allora (e su come lo “vediamo”) grazie ai GIS

Exploring geolocation issues in social media analytics A case study with Tweet messages

Social media data, such as Tweet messages, are sometimes associated with their geolocation. This information can be exploited to perform spatial analyses, resulting in geosocial analytics. However, the geolocation does not often correspond to the actual position of the author, but could be fictiously associated to the messages. The issues coming from the absence of Tweet geolocation metadata are explored in this paper, through a test case over Italy

Open Web Services: new tools for Medievalist Historians to manage and share their research work

The research project presented in this paper regards a joint cooperation between Medievalist Historians and Geomatics experts. The idea was to study if new tools based on Geomatics technologies could provide Historians with new methods to develop their studies, archiving digital data in a geo-database and “spatializing” the information sources to produce maps in a GIS environment. So, in the first part of the project, a GIS was designed and implemented based on data collected from documents preserved in the Italian National Archives. Afterwards, the problem of data integration and sharing among research groups working on Medieval History was dealt with, in order to make data available for the consultation and query by several research groups. Three approaches based on a client-server architecture have been explored: one is typical of the WebGIS architecture; the second one is based on OGC Web services and the third one exploits a Web page while the GIS tools are provided by a Desktop GIS installed locally on a PC. In the paper, the different approaches will be described, in order to underline advantages and disadvantages with respect to the Historians' requirements

From historical documents to GIS: A spatial database for medieval fiscal data in Southern Italy

The study presented in this article addresses a geographic information system supporting historical research, including tools for geo-referencing data extracted from medieval source documents. Working closely with historians, an effective model for fiscal and census data has been designed to supply them with tools for digitally archiving data from historical source documents in a database structure, which may suggest new criteria for studying and correlating information. The considered data had been collected from the Quaternus Declaracionum of the Regno di Napoli (Kingdom of Naples) and focuses on an area corresponding to the Principality of Taranto from 1458-1460

Bridging geomatics theory to real-world applications in alpine surveys through an innovative summer school teaching program

Teaching experience in geomatics heavily relies on hands-on activities, but field surveys for educational purposes are usually conducted in controlled environments without proper connection to real-world scenarios. Combining the widespread availability of low-cost equipment with the potential of Free and Open Source Software for Geospatial (FOSS4G) in innovative teaching programmes can fill the gap in preparing young professionals in geomatics and surveying for real-world problems and global challenges, including climate change. This paper presents the active learning experience of the Belvedere Glacier Summer School organized annually by the Department of Civil and Environmental Engineering of Politecnico di Milano in the Italian Alps. During the week-long programme of theoretical and practical sessions, students from different backgrounds, ranging from Engineering to Architecture and Geoinformatics, transform knowledge into skills by designing and carrying out surveys focused on monitoring the evolution of the glacier volume, using GNSS and UAV photogrammetry, and familiarising with 2D and 3D data processing. In a peer-led environment, participants also contribute to the production of open data (orthophotos, DSM and point measurements) published in Zenodo, fostering teamwork and collaboration not only internally but also with the wider research community

Reduced sleep duration affects body composition, dietary intake and quality of life in obese subjects.

Purpose Sleep duration has emerged as a crucial factor affecting body weight and feeding behaviour. The aim of our study was to explore the relationship among sleep duration, body composition, dietary intake, and quality of life (QoL) in obese subjects. Methods Body composition was assessed by DXA. ‘‘Sensewear Armband’’ was used to evaluate sleep duration. SF-36 questionnaire was used to evaluate quality of life (QoL). A 3-day dietary record was administered. Subjects were divided into 2 groups: sleep duration[and B300 min/day. Results 137 subjects (105 women and 32 men), age: 49.8 ± 12.4 years, BMI: 38.6 ± 6.7 kg/m2, were enrolled. Sleep duration was B300 min in 30.6 % of subjects. Absolute and relative fat mass (FM) (40.5 ± 9 vs. 36.5 ± 9.1 kg; 40.2 ± 4.7 vs. 36.9 ± 5.6 %), and truncal fat mass (19.2 ± 6.1 vs. 16.6 ± 5 kg; 38.6 ± 5.3 vs. 35.2 ± 5.5 %) were higher in subjects sleeping B300 min when compared to their counterparts (all p.05), whereas just a tendency towards a higher BMI was observed (p = 0.077). Even though energy intake was not different between groups, subjects sleeping B300 min reported a higher carbohydrate consumption per day (51.8 ± 5.1 vs. 48.4 ± 9.2 %, p = 0.038). SF-36 total score was lower in subjects sleeping B300 min (34.2 ± 17.8 vs. 41.4 ± 12.9, p = 0.025). Sleep duration was negatively associated with FM (r = -0.25, p = 0.01) and SF-36 total score (r = -0.31, p.001). The inverse association between sleep duration and SF-36 total score was confirmed by the regression analysis after adjustment for BMI and fat mass (R = 0.43, R2 = 0.19, p = 0.012). Conclusion Reduced sleep duration negatively influences body composition, macronutrient intake, and QoL in obese subjects

Differential Patterns of Domain-Specific Cognitive Complaints and Awareness Across the Alzheimer's Disease Spectrum

Background: Characterizing self- and informant-reported cognitive complaints, as well as awareness of cognitive decline (ACD), is useful for an early diagnosis of Alzheimer's disease (AD). However, complaints and ACD related to cognitive functions other than memory are poorly studied. Furthermore, it remains unclear which source of information is the most useful to distinguish various groups on the AD spectrum. Methods: Self- and informant-reported complaints were measured with the Everyday Cognition questionnaire (ECog-Subject and ECog-StudyPartner) in four domains (memory, language, visuospatial, and executive). ACD was measured as the subject-informant discrepancy in the four ECog scores. We compared the ECog and ACD scores across cognitive domains between four groups: 71 amyloid-positive individuals with amnestic AD, 191 amnestic mild cognitive impairment (MCI), or 118 cognitively normal (CN), and 211 amyloid-negative CN controls, selected from the ADNI database. Receiver operating characteristic curves analysis was performed to evaluate the accuracy of the ECog and ACD scores in discriminating clinical groups. Results: Self- and informant-reported complaints were generally distributed as follows: memory, language, executive, and visuospatial (from the most severe to the least severe). Both groups of CN participants presented on average more memory and language complaints than their informant. MCI participants showed good agreement with their informants. AD participants presented anosognosia in all domains, but especially for the executive domain. The four ECog-StudyPartner sub-scores allowed excellent discrimination between groups in almost all classifications and performed significantly better than the other two classifiers considered. The ACD was excellent in distinguishing the participants with AD from the two groups of CN participants. The ECog-Subject was the least accurate in discriminating groups in four of the six classifications performed. Conclusion: In research, the study of complaint and anosognosia should not be reduced solely to the memory domain. In clinical practice, non-amnestic complaints could also be linked to Alzheimer's disease. The presence of an informant also seems necessary given its accuracy as a source of information

The MOCAST+ Study on a Quantum Gradiometry Satellite Mission with Atomic Clocks

In the past twenty years, satellite gravimetry missions have successfully provided data for the determination of the Earth static gravity field (GOCE) and its temporal variations (GRACE and GRACE-FO). In particular, the possibility to study the evolution in time of Earth masses allows us to monitor global parameters underlying climate changes, water resources, flooding, melting of ice masses and the corresponding global sea level rise, all of which are of paramount importance, providing basic data on, e.g. geodynamics, earthquakes, hydrology or ice sheets changes. Recently, a large interest has developed in novel technologies and quantum sensing, which promise higher sensitivity, drift-free measurements, and higher absolute accuracy for both terrestrial surveys and space missions, giving direct access to more precise long-term measurements. Looking at a time frame beyond the present decade, in the MOCAST+ study (MOnitoring mass variations by Cold Atom Sensors and Time measures) a satellite mission based on an “enhanced” quantum payload is proposed, with cold atom interferometers acting as gravity gradiometers, and atomic clocks for optical frequency measurements, providing observations of differences of the gravitational potential. The main outcomes are the definition of the accuracy level to be expected from this payload and the accuracy level needed to detect and monitor phenomena identified in the Scientific Challenges of the ESA Living Planet Program, in particular Cryosphere, Ocean and Solid Earth. In this paper, the proposed payload, mission profile and preliminary platform design are presented, with end-to-end simulation results and assessment of the impact on geophysical applications

Phosphoproteomic Landscaping Identifies Non-canonical cKIT Signaling in Polycythemia Vera Erythroid Progenitors

Although stem cell factor (SCF)/cKIT interaction plays key functions in erythropoiesis, cKIT signaling in human erythroid cells is still poorly defined. To provide new insights into cKIT-mediated erythroid expansion in development and disease, we performed phosphoproteomic profiling of primary erythroid progenitors from adult blood (AB), cord blood (CB), and Polycythemia Vera (PV) at steady-state and upon SCF stimulation. While AB and CB, respectively, activated transient or sustained canonical cKIT-signaling, PV showed a non-canonical signaling including increased mTOR and ERK1 and decreased DEPTOR. Accordingly, screening of FDA-approved compounds showed increased PV sensitivity to JAK, cKIT, and MEK inhibitors. Moreover, differently from AB and CB, in PV the mature 145kDa-cKIT constitutively associated with the tetraspanin CD63 and was not endocytosed upon SCF stimulation, contributing to unrestrained cKIT signaling. These results identify a clinically exploitable variegation of cKIT signaling/metabolism that may contribute to the great erythroid output occurring during development and in PV

Network analysis identifies circulating miR-155 as predictive biomarker of type 2 diabetes mellitus development in obese patients: a pilot study

: Obesity is the main risk factor for many non-communicable diseases. In clinical practice, unspecific markers are used for the determination of metabolic alterations and inflammation, without allowing the characterization of subjects at higher risk of complications. Circulating microRNAs represent an attractive approach for early screening to identify subjects affected by obesity more at risk of developing connected pathologies. The aim of this study was the identification of circulating free and extracellular vesicles (EVs)-embedded microRNAs able to identify obese patients at higher risk of type 2 diabetes (DM2). The expression data of circulating microRNAs derived from obese patients (OB), with DM2 (OBDM) and healthy donors were combined with clinical data, through network-based methodology implemented by weighted gene co-expression network analysis. The six circulating microRNAs overexpressed in OBDM patients were evaluated in a second group of patients, confirming the overexpression of miR-155-5p in OBDM patients. Interestingly, the combination of miR-155-5p with serum levels of IL-8, Leptin and RAGE was useful to identify OB patients most at risk of developing DM2. These results suggest that miR-155-5p is a potential circulating biomarker for DM2 and that the combination of this microRNA with other inflammatory markers in OB patients can predict the risk of developing DM2